2022-04-12 23:07:34 INFO i.a.w.w.WorkerRun(call):49 - Executing worker wrapper. Airbyte version: 0.35.64-alpha 2022-04-12 23:07:34 INFO i.a.w.t.TemporalAttemptExecution(get):107 - Cloud storage job log path: /workspace/90/2/logs.log 2022-04-12 23:07:38 destination > SLF4J: Class path contains multiple SLF4J bindings. 2022-04-12 23:07:34 INFO i.a.w.t.TemporalAttemptExecution(get):110 - Executing worker wrapper. Airbyte version: 0.35.64-alpha 2022-04-12 23:07:34 INFO i.a.w.DefaultReplicationWorker(run):104 - start sync worker. job id: 90 attempt id: 2 2022-04-12 23:07:34 INFO i.a.w.DefaultReplicationWorker(run):116 - configured sync modes: {null.contacts_list_memberships=full_refresh - overwrite, null.workflows=full_refresh - overwrite, null.engagements_calls=incremental - append, null.deals=incremental - append, null.email_events=incremental - append, null.products=incremental - append, null.engagements_tasks=incremental - append, null.engagements_notes=incremental - append, null.forms=full_refresh - overwrite, null.line_items=incremental - append, null.tickets=incremental - append, null.contact_lists=incremental - append, null.ticket_pipelines=full_refresh - overwrite, null.engagements_emails=incremental - append, null.owners=full_refresh - overwrite, null.form_submissions=full_refresh - overwrite, null.deal_pipelines=full_refresh - overwrite, null.marketing_emails=full_refresh - overwrite, null.companies=incremental - append, null.engagements=incremental - append, null.engagements_meetings=incremental - append, null.property_history=incremental - append, null.quotes=incremental - append, null.contacts=incremental - append, null.campaigns=full_refresh - overwrite, null.subscription_changes=incremental - append} 2022-04-12 23:07:34 INFO i.a.w.p.a.DefaultAirbyteDestination(start):69 - Running destination... 2022-04-12 23:07:34 INFO i.a.w.p.KubeProcessFactory(create):113 - Attempting to start pod = destination-bigquery-sync-90-2-fcrth 2022-04-12 23:07:34 INFO i.a.w.p.KubeProcessFactory(create):116 - destination-bigquery-sync-90-2-fcrth stdoutLocalPort = 9022 2022-04-12 23:07:34 INFO i.a.w.p.KubeProcessFactory(create):119 - destination-bigquery-sync-90-2-fcrth stderrLocalPort = 9023 2022-04-12 23:07:34 INFO i.a.w.p.KubePodProcess(lambda$setupStdOutAndStdErrListeners$9):565 - Creating stdout socket server... 2022-04-12 23:07:34 INFO i.a.w.p.KubePodProcess(lambda$setupStdOutAndStdErrListeners$10):583 - Creating stderr socket server... 2022-04-12 23:07:34 INFO i.a.w.p.KubePodProcess():503 - Creating pod... 2022-04-12 23:07:34 INFO i.a.w.p.KubePodProcess(waitForInitPodToRun):305 - Waiting for init container to be ready before copying files... 2022-04-12 23:07:34 INFO i.a.w.p.KubePodProcess(waitForInitPodToRun):318 - Init container present.. 2022-04-12 23:07:36 INFO i.a.w.p.KubePodProcess(waitForInitPodToRun):321 - Init container ready.. 2022-04-12 23:07:36 INFO i.a.w.p.KubePodProcess():528 - Copying files... 2022-04-12 23:07:36 INFO i.a.w.p.KubePodProcess(copyFilesToKubeConfigVolume):254 - Uploading file: destination_config.json 2022-04-12 23:07:36 INFO i.a.w.p.KubePodProcess(copyFilesToKubeConfigVolume):262 - kubectl cp /tmp/2037c4e6-125f-4344-a283-d0d899b84c6b/destination_config.json app-airbyte/destination-bigquery-sync-90-2-fcrth:/config/destination_config.json -c init 2022-04-12 23:07:36 INFO i.a.w.p.KubePodProcess(copyFilesToKubeConfigVolume):265 - Waiting for kubectl cp to complete 2022-04-12 23:07:36 INFO i.a.w.p.KubePodProcess(copyFilesToKubeConfigVolume):279 - kubectl cp complete, closing process 2022-04-12 23:07:36 INFO i.a.w.p.KubePodProcess(copyFilesToKubeConfigVolume):254 - Uploading file: destination_catalog.json 2022-04-12 23:07:36 INFO i.a.w.p.KubePodProcess(copyFilesToKubeConfigVolume):262 - kubectl cp /tmp/f9ba7c63-83ef-4ecb-8bb3-5a3c95ae24f0/destination_catalog.json app-airbyte/destination-bigquery-sync-90-2-fcrth:/config/destination_catalog.json -c init 2022-04-12 23:07:36 INFO i.a.w.p.KubePodProcess(copyFilesToKubeConfigVolume):265 - Waiting for kubectl cp to complete 2022-04-12 23:07:36 INFO i.a.w.p.KubePodProcess(copyFilesToKubeConfigVolume):279 - kubectl cp complete, closing process 2022-04-12 23:07:36 INFO i.a.w.p.KubePodProcess(copyFilesToKubeConfigVolume):254 - Uploading file: FINISHED_UPLOADING 2022-04-12 23:07:36 INFO i.a.w.p.KubePodProcess(copyFilesToKubeConfigVolume):262 - kubectl cp /tmp/e260dbe8-c372-4e12-875f-2ad557b38395/FINISHED_UPLOADING app-airbyte/destination-bigquery-sync-90-2-fcrth:/config/FINISHED_UPLOADING -c init 2022-04-12 23:07:36 INFO i.a.w.p.KubePodProcess(copyFilesToKubeConfigVolume):265 - Waiting for kubectl cp to complete 2022-04-12 23:07:36 INFO i.a.w.p.KubePodProcess(copyFilesToKubeConfigVolume):279 - kubectl cp complete, closing process 2022-04-12 23:07:36 INFO i.a.w.p.KubePodProcess():531 - Waiting until pod is ready... 2022-04-12 23:07:37 INFO i.a.w.p.KubePodProcess(lambda$setupStdOutAndStdErrListeners$9):574 - Setting stdout... 2022-04-12 23:07:37 INFO i.a.w.p.KubePodProcess(lambda$setupStdOutAndStdErrListeners$10):586 - Setting stderr... 2022-04-12 23:07:38 INFO i.a.w.p.KubePodProcess():546 - Reading pod IP... 2022-04-12 23:07:38 INFO i.a.w.p.KubePodProcess():548 - Pod IP: 10.1.130.11 2022-04-12 23:07:38 INFO i.a.w.p.KubePodProcess():551 - Creating stdin socket... 2022-04-12 23:07:38 INFO i.a.w.p.KubeProcessFactory(create):113 - Attempting to start pod = source-hubspot-sync-90-2-rfuwa 2022-04-12 23:07:38 INFO i.a.w.p.KubeProcessFactory(create):116 - source-hubspot-sync-90-2-rfuwa stdoutLocalPort = 9036 2022-04-12 23:07:38 INFO i.a.w.p.KubeProcessFactory(create):119 - source-hubspot-sync-90-2-rfuwa stderrLocalPort = 9037 2022-04-12 23:07:38 INFO i.a.w.p.KubePodProcess(lambda$setupStdOutAndStdErrListeners$9):565 - Creating stdout socket server... 2022-04-12 23:07:38 INFO i.a.w.p.KubePodProcess(lambda$setupStdOutAndStdErrListeners$10):583 - Creating stderr socket server... 2022-04-12 23:07:38 INFO i.a.w.p.KubePodProcess():503 - Creating pod... 2022-04-12 23:07:38 INFO i.a.w.p.KubePodProcess(waitForInitPodToRun):305 - Waiting for init container to be ready before copying files... 2022-04-12 23:07:38 INFO i.a.w.p.KubePodProcess(waitForInitPodToRun):318 - Init container present.. 2022-04-12 23:07:39 INFO i.a.w.p.KubePodProcess(waitForInitPodToRun):321 - Init container ready.. 2022-04-12 23:07:39 INFO i.a.w.p.KubePodProcess():528 - Copying files... 2022-04-12 23:07:39 INFO i.a.w.p.KubePodProcess(copyFilesToKubeConfigVolume):254 - Uploading file: input_state.json 2022-04-12 23:07:39 INFO i.a.w.p.KubePodProcess(copyFilesToKubeConfigVolume):262 - kubectl cp /tmp/c6d9cda8-c529-423d-a141-12f9674c0e32/input_state.json app-airbyte/source-hubspot-sync-90-2-rfuwa:/config/input_state.json -c init 2022-04-12 23:07:39 INFO i.a.w.p.KubePodProcess(copyFilesToKubeConfigVolume):265 - Waiting for kubectl cp to complete 2022-04-12 23:07:39 INFO i.a.w.p.KubePodProcess(copyFilesToKubeConfigVolume):279 - kubectl cp complete, closing process 2022-04-12 23:07:39 INFO i.a.w.p.KubePodProcess(copyFilesToKubeConfigVolume):254 - Uploading file: source_config.json 2022-04-12 23:07:39 INFO i.a.w.p.KubePodProcess(copyFilesToKubeConfigVolume):262 - kubectl cp /tmp/f000b855-4dc4-4916-ad80-6a6a7cc45027/source_config.json app-airbyte/source-hubspot-sync-90-2-rfuwa:/config/source_config.json -c init 2022-04-12 23:07:39 INFO i.a.w.p.KubePodProcess(copyFilesToKubeConfigVolume):265 - Waiting for kubectl cp to complete 2022-04-12 23:07:39 INFO i.a.w.p.KubePodProcess(copyFilesToKubeConfigVolume):279 - kubectl cp complete, closing process 2022-04-12 23:07:39 INFO i.a.w.p.KubePodProcess(copyFilesToKubeConfigVolume):254 - Uploading file: source_catalog.json 2022-04-12 23:07:39 INFO i.a.w.p.KubePodProcess(copyFilesToKubeConfigVolume):262 - kubectl cp /tmp/ac93d8f0-7b5b-428b-880b-c0ffec2b1d92/source_catalog.json app-airbyte/source-hubspot-sync-90-2-rfuwa:/config/source_catalog.json -c init 2022-04-12 23:07:39 INFO i.a.w.p.KubePodProcess(copyFilesToKubeConfigVolume):265 - Waiting for kubectl cp to complete 2022-04-12 23:07:39 INFO i.a.w.p.KubePodProcess(copyFilesToKubeConfigVolume):279 - kubectl cp complete, closing process 2022-04-12 23:07:39 INFO i.a.w.p.KubePodProcess(copyFilesToKubeConfigVolume):254 - Uploading file: FINISHED_UPLOADING 2022-04-12 23:07:39 INFO i.a.w.p.KubePodProcess(copyFilesToKubeConfigVolume):262 - kubectl cp /tmp/b722d496-8ab1-4206-bfa1-7b423e141507/FINISHED_UPLOADING app-airbyte/source-hubspot-sync-90-2-rfuwa:/config/FINISHED_UPLOADING -c init 2022-04-12 23:07:39 INFO i.a.w.p.KubePodProcess(copyFilesToKubeConfigVolume):265 - Waiting for kubectl cp to complete 2022-04-12 23:07:39 INFO i.a.w.p.KubePodProcess(copyFilesToKubeConfigVolume):279 - kubectl cp complete, closing process 2022-04-12 23:07:39 INFO i.a.w.p.KubePodProcess():531 - Waiting until pod is ready... 2022-04-12 23:07:40 INFO i.a.w.p.KubePodProcess(lambda$setupStdOutAndStdErrListeners$9):574 - Setting stdout... 2022-04-12 23:07:40 INFO i.a.w.p.KubePodProcess(lambda$setupStdOutAndStdErrListeners$10):586 - Setting stderr... 2022-04-12 23:07:41 INFO i.a.w.p.KubePodProcess():546 - Reading pod IP... 2022-04-12 23:07:41 INFO i.a.w.p.KubePodProcess():548 - Pod IP: 10.1.132.4 2022-04-12 23:07:41 INFO i.a.w.p.KubePodProcess():555 - Using null stdin output stream... 2022-04-12 23:07:41 INFO i.a.w.DefaultReplicationWorker(lambda$getDestinationOutputRunnable$6):339 - Destination output thread started. 2022-04-12 23:07:41 INFO i.a.w.DefaultReplicationWorker(run):158 - Waiting for source and destination threads to complete. 2022-04-12 23:07:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):279 - Replication thread started. 2022-04-12 23:07:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1000 (5 MB) 2022-04-12 23:08:00 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2000 (11 MB) 2022-04-12 23:08:06 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3000 (17 MB) 2022-04-12 23:08:11 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4000 (23 MB) 2022-04-12 23:08:17 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5000 (30 MB) 2022-04-12 23:08:23 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 6000 (36 MB) 2022-04-12 23:08:29 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 7000 (42 MB) 2022-04-12 23:07:38 destination > SLF4J: Found binding in [jar:file:/airbyte/lib/log4j-slf4j-impl-2.17.1.jar!/org/slf4j/impl/StaticLoggerBinder.class] 2022-04-12 23:07:38 destination > SLF4J: Found binding in [jar:file:/airbyte/lib/slf4j-log4j12-1.7.25.jar!/org/slf4j/impl/StaticLoggerBinder.class] 2022-04-12 23:07:38 destination > SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation. 2022-04-12 23:07:38 destination > SLF4J: Actual binding is of type [org.apache.logging.slf4j.Log4jLoggerFactory] 2022-04-12 23:07:41 destination > 2022-04-12 23:07:38 INFO i.a.i.b.IntegrationCliParser(parseOptions):118 - integration args: {catalog=destination_catalog.json, write=null, config=destination_config.json} 2022-04-12 23:07:41 destination > 2022-04-12 23:07:38 INFO i.a.i.b.IntegrationRunner(createSentryTransaction):339 - Sentry transaction event: b8b2d84822fb4945853e844e2b37b57d 2022-04-12 23:07:41 destination > 2022-04-12 23:07:38 INFO i.a.i.b.IntegrationRunner(runInternal):121 - Running integration: io.airbyte.integrations.destination.bigquery.BigQueryDestination 2022-04-12 23:07:41 source > Starting syncing SourceHubspot 2022-04-12 23:07:41 destination > 2022-04-12 23:07:38 INFO i.a.i.b.IntegrationRunner(runInternal):122 - Command: WRITE 2022-04-12 23:07:41 destination > 2022-04-12 23:07:38 INFO i.a.i.b.IntegrationRunner(runInternal):123 - Integration config: IntegrationConfig{command=WRITE, configPath='destination_config.json', catalogPath='destination_catalog.json', statePath='null'} 2022-04-12 23:07:41 destination > 2022-04-12 23:07:38 WARN c.n.s.JsonMetaSchema(newValidator):338 - Unknown keyword examples - you should define your own Meta Schema. If the keyword is irrelevant for validation, just use a NonValidationKeyword 2022-04-12 23:07:41 source > Syncing stream: campaigns 2022-04-12 23:07:41 destination > 2022-04-12 23:07:38 WARN c.n.s.JsonMetaSchema(newValidator):338 - Unknown keyword airbyte_secret - you should define your own Meta Schema. If the keyword is irrelevant for validation, just use a NonValidationKeyword 2022-04-12 23:07:41 destination > 2022-04-12 23:07:38 INFO i.a.i.d.b.BigQueryUtils(getLoadingMethod):295 - Selected loading method is set to: GCS 2022-04-12 23:07:41 destination > 2022-04-12 23:07:38 INFO i.a.i.d.s.S3FormatConfigs(getS3FormatConfig):22 - S3 format config: {"format_type":"AVRO","flattening":"No flattening","part_size_mb":"5"} 2022-04-12 23:07:41 destination > 2022-04-12 23:07:39 INFO i.a.i.d.b.BigQueryUtils(isKeepFilesInGcs):311 - All tmp files will be removed from GCS when replication is finished 2022-04-12 23:07:41 destination > 2022-04-12 23:07:39 INFO i.a.i.d.b.BigQueryDestination(getGcsRecordConsumer):287 - Creating BigQuery staging message consumer with staging ID b23515e5-50b9-4d53-8b74-003a9fe08f7e at 2022-04-12T23:07:39.020Z 2022-04-12 23:07:41 destination > 2022-04-12 23:07:39 INFO i.a.i.d.b.BigQueryStagingConsumerFactory(lambda$createWriteConfigs$1):86 - BigQuery write config: BigQueryWriteConfig[streamName=campaigns, namespace=hubspot_, datasetId=hubspot_, datasetLocation=europe-west4, tmpTableId=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_wjv_campaigns}}, targetTableId=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_raw_campaigns}}, tableSchema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, syncMode=overwrite, stagedFiles=[]] 2022-04-12 23:07:41 destination > 2022-04-12 23:07:39 INFO i.a.i.d.b.BigQueryStagingConsumerFactory(lambda$createWriteConfigs$1):86 - BigQuery write config: BigQueryWriteConfig[streamName=companies, namespace=hubspot_, datasetId=hubspot_, datasetLocation=europe-west4, tmpTableId=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_oxx_companies}}, targetTableId=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_raw_companies}}, tableSchema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, syncMode=append, stagedFiles=[]] 2022-04-12 23:07:41 destination > 2022-04-12 23:07:39 INFO i.a.i.d.b.BigQueryStagingConsumerFactory(lambda$createWriteConfigs$1):86 - BigQuery write config: BigQueryWriteConfig[streamName=contact_lists, namespace=hubspot_, datasetId=hubspot_, datasetLocation=europe-west4, tmpTableId=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_avz_contact_lists}}, targetTableId=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_raw_contact_lists}}, tableSchema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, syncMode=append, stagedFiles=[]] 2022-04-12 23:07:41 destination > 2022-04-12 23:07:39 INFO i.a.i.d.b.BigQueryStagingConsumerFactory(lambda$createWriteConfigs$1):86 - BigQuery write config: BigQueryWriteConfig[streamName=contacts, namespace=hubspot_, datasetId=hubspot_, datasetLocation=europe-west4, tmpTableId=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_hiq_contacts}}, targetTableId=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_raw_contacts}}, tableSchema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, syncMode=append, stagedFiles=[]] 2022-04-12 23:07:41 destination > 2022-04-12 23:07:39 INFO i.a.i.d.b.BigQueryStagingConsumerFactory(lambda$createWriteConfigs$1):86 - BigQuery write config: BigQueryWriteConfig[streamName=contacts_list_memberships, namespace=hubspot_, datasetId=hubspot_, datasetLocation=europe-west4, tmpTableId=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_epz_contacts_list_memberships}}, targetTableId=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_raw_contacts_list_memberships}}, tableSchema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, syncMode=overwrite, stagedFiles=[]] 2022-04-12 23:07:41 destination > 2022-04-12 23:07:39 INFO i.a.i.d.b.BigQueryStagingConsumerFactory(lambda$createWriteConfigs$1):86 - BigQuery write config: BigQueryWriteConfig[streamName=deal_pipelines, namespace=hubspot_, datasetId=hubspot_, datasetLocation=europe-west4, tmpTableId=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_nbw_deal_pipelines}}, targetTableId=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_raw_deal_pipelines}}, tableSchema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, syncMode=overwrite, stagedFiles=[]] 2022-04-12 23:07:41 destination > 2022-04-12 23:07:39 INFO i.a.i.d.b.BigQueryStagingConsumerFactory(lambda$createWriteConfigs$1):86 - BigQuery write config: BigQueryWriteConfig[streamName=deals, namespace=hubspot_, datasetId=hubspot_, datasetLocation=europe-west4, tmpTableId=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_iyt_deals}}, targetTableId=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_raw_deals}}, tableSchema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, syncMode=append, stagedFiles=[]] 2022-04-12 23:07:41 destination > 2022-04-12 23:07:39 INFO i.a.i.d.b.BigQueryStagingConsumerFactory(lambda$createWriteConfigs$1):86 - BigQuery write config: BigQueryWriteConfig[streamName=email_events, namespace=hubspot_, datasetId=hubspot_, datasetLocation=europe-west4, tmpTableId=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_iui_email_events}}, targetTableId=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_raw_email_events}}, tableSchema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, syncMode=append, stagedFiles=[]] 2022-04-12 23:07:41 destination > 2022-04-12 23:07:39 INFO i.a.i.d.b.BigQueryStagingConsumerFactory(lambda$createWriteConfigs$1):86 - BigQuery write config: BigQueryWriteConfig[streamName=engagements, namespace=hubspot_, datasetId=hubspot_, datasetLocation=europe-west4, tmpTableId=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_ter_engagements}}, targetTableId=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_raw_engagements}}, tableSchema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, syncMode=append, stagedFiles=[]] 2022-04-12 23:07:41 destination > 2022-04-12 23:07:39 INFO i.a.i.d.b.BigQueryStagingConsumerFactory(lambda$createWriteConfigs$1):86 - BigQuery write config: BigQueryWriteConfig[streamName=engagements_calls, namespace=hubspot_, datasetId=hubspot_, datasetLocation=europe-west4, tmpTableId=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_vth_engagements_calls}}, targetTableId=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_raw_engagements_calls}}, tableSchema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, syncMode=append, stagedFiles=[]] 2022-04-12 23:07:41 destination > 2022-04-12 23:07:39 INFO i.a.i.d.b.BigQueryStagingConsumerFactory(lambda$createWriteConfigs$1):86 - BigQuery write config: BigQueryWriteConfig[streamName=engagements_emails, namespace=hubspot_, datasetId=hubspot_, datasetLocation=europe-west4, tmpTableId=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_vff_engagements_emails}}, targetTableId=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_raw_engagements_emails}}, tableSchema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, syncMode=append, stagedFiles=[]] 2022-04-12 23:07:41 destination > 2022-04-12 23:07:39 INFO i.a.i.d.b.BigQueryStagingConsumerFactory(lambda$createWriteConfigs$1):86 - BigQuery write config: BigQueryWriteConfig[streamName=engagements_meetings, namespace=hubspot_, datasetId=hubspot_, datasetLocation=europe-west4, tmpTableId=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_hjh_engagements_meetings}}, targetTableId=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_raw_engagements_meetings}}, tableSchema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, syncMode=append, stagedFiles=[]] 2022-04-12 23:07:41 destination > 2022-04-12 23:07:39 INFO i.a.i.d.b.BigQueryStagingConsumerFactory(lambda$createWriteConfigs$1):86 - BigQuery write config: BigQueryWriteConfig[streamName=engagements_notes, namespace=hubspot_, datasetId=hubspot_, datasetLocation=europe-west4, tmpTableId=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_pmq_engagements_notes}}, targetTableId=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_raw_engagements_notes}}, tableSchema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, syncMode=append, stagedFiles=[]] 2022-04-12 23:07:41 destination > 2022-04-12 23:07:39 INFO i.a.i.d.b.BigQueryStagingConsumerFactory(lambda$createWriteConfigs$1):86 - BigQuery write config: BigQueryWriteConfig[streamName=engagements_tasks, namespace=hubspot_, datasetId=hubspot_, datasetLocation=europe-west4, tmpTableId=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_cve_engagements_tasks}}, targetTableId=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_raw_engagements_tasks}}, tableSchema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, syncMode=append, stagedFiles=[]] 2022-04-12 23:07:41 destination > 2022-04-12 23:07:39 INFO i.a.i.d.b.BigQueryStagingConsumerFactory(lambda$createWriteConfigs$1):86 - BigQuery write config: BigQueryWriteConfig[streamName=form_submissions, namespace=hubspot_, datasetId=hubspot_, datasetLocation=europe-west4, tmpTableId=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_jlk_form_submissions}}, targetTableId=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_raw_form_submissions}}, tableSchema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, syncMode=overwrite, stagedFiles=[]] 2022-04-12 23:07:41 destination > 2022-04-12 23:07:39 INFO i.a.i.d.b.BigQueryStagingConsumerFactory(lambda$createWriteConfigs$1):86 - BigQuery write config: BigQueryWriteConfig[streamName=forms, namespace=hubspot_, datasetId=hubspot_, datasetLocation=europe-west4, tmpTableId=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_zpp_forms}}, targetTableId=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_raw_forms}}, tableSchema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, syncMode=overwrite, stagedFiles=[]] 2022-04-12 23:07:41 destination > 2022-04-12 23:07:39 INFO i.a.i.d.b.BigQueryStagingConsumerFactory(lambda$createWriteConfigs$1):86 - BigQuery write config: BigQueryWriteConfig[streamName=line_items, namespace=hubspot_, datasetId=hubspot_, datasetLocation=europe-west4, tmpTableId=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_edx_line_items}}, targetTableId=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_raw_line_items}}, tableSchema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, syncMode=append, stagedFiles=[]] 2022-04-12 23:07:41 destination > 2022-04-12 23:07:39 INFO i.a.i.d.b.BigQueryStagingConsumerFactory(lambda$createWriteConfigs$1):86 - BigQuery write config: BigQueryWriteConfig[streamName=marketing_emails, namespace=hubspot_, datasetId=hubspot_, datasetLocation=europe-west4, tmpTableId=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_fvj_marketing_emails}}, targetTableId=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_raw_marketing_emails}}, tableSchema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, syncMode=overwrite, stagedFiles=[]] 2022-04-12 23:07:41 destination > 2022-04-12 23:07:39 INFO i.a.i.d.b.BigQueryStagingConsumerFactory(lambda$createWriteConfigs$1):86 - BigQuery write config: BigQueryWriteConfig[streamName=owners, namespace=hubspot_, datasetId=hubspot_, datasetLocation=europe-west4, tmpTableId=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_mrl_owners}}, targetTableId=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_raw_owners}}, tableSchema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, syncMode=overwrite, stagedFiles=[]] 2022-04-12 23:07:41 destination > 2022-04-12 23:07:39 INFO i.a.i.d.b.BigQueryStagingConsumerFactory(lambda$createWriteConfigs$1):86 - BigQuery write config: BigQueryWriteConfig[streamName=products, namespace=hubspot_, datasetId=hubspot_, datasetLocation=europe-west4, tmpTableId=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_nwt_products}}, targetTableId=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_raw_products}}, tableSchema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, syncMode=append, stagedFiles=[]] 2022-04-12 23:07:41 destination > 2022-04-12 23:07:39 INFO i.a.i.d.b.BigQueryStagingConsumerFactory(lambda$createWriteConfigs$1):86 - BigQuery write config: BigQueryWriteConfig[streamName=property_history, namespace=hubspot_, datasetId=hubspot_, datasetLocation=europe-west4, tmpTableId=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_ejs_property_history}}, targetTableId=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_raw_property_history}}, tableSchema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, syncMode=append, stagedFiles=[]] 2022-04-12 23:07:41 destination > 2022-04-12 23:07:39 INFO i.a.i.d.b.BigQueryStagingConsumerFactory(lambda$createWriteConfigs$1):86 - BigQuery write config: BigQueryWriteConfig[streamName=quotes, namespace=hubspot_, datasetId=hubspot_, datasetLocation=europe-west4, tmpTableId=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_qtn_quotes}}, targetTableId=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_raw_quotes}}, tableSchema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, syncMode=append, stagedFiles=[]] 2022-04-12 23:07:41 destination > 2022-04-12 23:07:39 INFO i.a.i.d.b.BigQueryStagingConsumerFactory(lambda$createWriteConfigs$1):86 - BigQuery write config: BigQueryWriteConfig[streamName=subscription_changes, namespace=hubspot_, datasetId=hubspot_, datasetLocation=europe-west4, tmpTableId=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_cwl_subscription_changes}}, targetTableId=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_raw_subscription_changes}}, tableSchema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, syncMode=append, stagedFiles=[]] 2022-04-12 23:07:41 destination > 2022-04-12 23:07:39 INFO i.a.i.d.b.BigQueryStagingConsumerFactory(lambda$createWriteConfigs$1):86 - BigQuery write config: BigQueryWriteConfig[streamName=ticket_pipelines, namespace=hubspot_, datasetId=hubspot_, datasetLocation=europe-west4, tmpTableId=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_myb_ticket_pipelines}}, targetTableId=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_raw_ticket_pipelines}}, tableSchema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, syncMode=overwrite, stagedFiles=[]] 2022-04-12 23:07:41 destination > 2022-04-12 23:07:39 INFO i.a.i.d.b.BigQueryStagingConsumerFactory(lambda$createWriteConfigs$1):86 - BigQuery write config: BigQueryWriteConfig[streamName=tickets, namespace=hubspot_, datasetId=hubspot_, datasetLocation=europe-west4, tmpTableId=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_uyu_tickets}}, targetTableId=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_raw_tickets}}, tableSchema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, syncMode=append, stagedFiles=[]] 2022-04-12 23:07:41 destination > 2022-04-12 23:07:39 INFO i.a.i.d.b.BigQueryStagingConsumerFactory(lambda$createWriteConfigs$1):86 - BigQuery write config: BigQueryWriteConfig[streamName=workflows, namespace=hubspot_, datasetId=hubspot_, datasetLocation=europe-west4, tmpTableId=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_ycd_workflows}}, targetTableId=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_raw_workflows}}, tableSchema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, syncMode=overwrite, stagedFiles=[]] 2022-04-12 23:07:41 destination > 2022-04-12 23:07:39 INFO i.a.i.d.b.BufferedStreamConsumer(startTracked):116 - class io.airbyte.integrations.destination.buffered_stream_consumer.BufferedStreamConsumer started. 2022-04-12 23:07:41 destination > 2022-04-12 23:07:39 INFO i.a.i.d.b.BigQueryStagingConsumerFactory(lambda$onStartFunction$3):98 - Preparing tmp tables in destination started for 26 streams 2022-04-12 23:07:41 destination > 2022-04-12 23:07:39 INFO i.a.i.d.b.BigQueryGcsOperations(createSchemaIfNotExists):86 - Creating dataset hubspot_ 2022-04-12 23:07:41 destination > 2022-04-12 23:07:40 INFO i.a.i.d.b.BigQueryGcsOperations(createTmpTableIfNotExists):94 - Creating tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_fvj_marketing_emails}} 2022-04-12 23:07:41 destination > 2022-04-12 23:07:40 INFO i.a.i.d.b.BigQueryUtils(createPartitionedTable):131 - Partitioned table created successfully: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_fvj_marketing_emails}} 2022-04-12 23:07:41 destination > 2022-04-12 23:07:40 INFO i.a.i.d.b.BigQueryGcsOperations(createStageIfNotExists):101 - Creating staging path for stream marketing_emails (dataset hubspot_): product/hubspot__marketing_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-12 23:07:41 destination > 2022-04-12 23:07:40 INFO i.a.i.d.s.S3StorageOperations(createBucketObjectIfNotExists):94 - Storage Object mansagroup-airbyte-bigquery-buffer/product/hubspot__marketing_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ does not exist in bucket; creating... 2022-04-12 23:07:41 destination > 2022-04-12 23:07:40 INFO i.a.i.d.s.S3StorageOperations(createBucketObjectIfNotExists):96 - Storage Object mansagroup-airbyte-bigquery-buffer/product/hubspot__marketing_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ has been created in bucket. 2022-04-12 23:07:41 destination > 2022-04-12 23:07:40 INFO i.a.i.d.b.BigQueryGcsOperations(createTmpTableIfNotExists):94 - Creating tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_hjh_engagements_meetings}} 2022-04-12 23:07:41 destination > 2022-04-12 23:07:40 INFO i.a.i.d.b.BigQueryUtils(createPartitionedTable):131 - Partitioned table created successfully: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_hjh_engagements_meetings}} 2022-04-12 23:07:41 destination > 2022-04-12 23:07:40 INFO i.a.i.d.b.BigQueryGcsOperations(createStageIfNotExists):101 - Creating staging path for stream engagements_meetings (dataset hubspot_): product/hubspot__engagements_meetings/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-12 23:07:41 destination > 2022-04-12 23:07:40 INFO i.a.i.d.s.S3StorageOperations(createBucketObjectIfNotExists):94 - Storage Object mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_meetings/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ does not exist in bucket; creating... 2022-04-12 23:07:41 destination > 2022-04-12 23:07:40 INFO i.a.i.d.s.S3StorageOperations(createBucketObjectIfNotExists):96 - Storage Object mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_meetings/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ has been created in bucket. 2022-04-12 23:07:41 destination > 2022-04-12 23:07:40 INFO i.a.i.d.b.BigQueryGcsOperations(createTmpTableIfNotExists):94 - Creating tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_cwl_subscription_changes}} 2022-04-12 23:07:41 destination > 2022-04-12 23:07:40 INFO i.a.i.d.b.BigQueryUtils(createPartitionedTable):131 - Partitioned table created successfully: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_cwl_subscription_changes}} 2022-04-12 23:07:41 destination > 2022-04-12 23:07:40 INFO i.a.i.d.b.BigQueryGcsOperations(createStageIfNotExists):101 - Creating staging path for stream subscription_changes (dataset hubspot_): product/hubspot__subscription_changes/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-12 23:07:41 destination > 2022-04-12 23:07:41 INFO i.a.i.d.s.S3StorageOperations(createBucketObjectIfNotExists):94 - Storage Object mansagroup-airbyte-bigquery-buffer/product/hubspot__subscription_changes/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ does not exist in bucket; creating... 2022-04-12 23:07:41 destination > 2022-04-12 23:07:41 INFO i.a.i.d.s.S3StorageOperations(createBucketObjectIfNotExists):96 - Storage Object mansagroup-airbyte-bigquery-buffer/product/hubspot__subscription_changes/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ has been created in bucket. 2022-04-12 23:07:41 destination > 2022-04-12 23:07:41 INFO i.a.i.d.b.BigQueryGcsOperations(createTmpTableIfNotExists):94 - Creating tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_ycd_workflows}} 2022-04-12 23:07:41 destination > 2022-04-12 23:07:41 INFO i.a.i.d.b.BigQueryUtils(createPartitionedTable):131 - Partitioned table created successfully: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_ycd_workflows}} 2022-04-12 23:07:41 destination > 2022-04-12 23:07:41 INFO i.a.i.d.b.BigQueryGcsOperations(createStageIfNotExists):101 - Creating staging path for stream workflows (dataset hubspot_): product/hubspot__workflows/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-12 23:07:41 destination > 2022-04-12 23:07:41 INFO i.a.i.d.s.S3StorageOperations(createBucketObjectIfNotExists):94 - Storage Object mansagroup-airbyte-bigquery-buffer/product/hubspot__workflows/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ does not exist in bucket; creating... 2022-04-12 23:07:41 destination > 2022-04-12 23:07:41 INFO i.a.i.d.s.S3StorageOperations(createBucketObjectIfNotExists):96 - Storage Object mansagroup-airbyte-bigquery-buffer/product/hubspot__workflows/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ has been created in bucket. 2022-04-12 23:07:41 destination > 2022-04-12 23:07:41 INFO i.a.i.d.b.BigQueryGcsOperations(createTmpTableIfNotExists):94 - Creating tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_ter_engagements}} 2022-04-12 23:07:41 destination > 2022-04-12 23:07:41 INFO i.a.i.d.b.BigQueryUtils(createPartitionedTable):131 - Partitioned table created successfully: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_ter_engagements}} 2022-04-12 23:07:41 destination > 2022-04-12 23:07:41 INFO i.a.i.d.b.BigQueryGcsOperations(createStageIfNotExists):101 - Creating staging path for stream engagements (dataset hubspot_): product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-12 23:07:41 destination > 2022-04-12 23:07:41 INFO i.a.i.d.s.S3StorageOperations(createBucketObjectIfNotExists):94 - Storage Object mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ does not exist in bucket; creating... 2022-04-12 23:07:41 destination > 2022-04-12 23:07:41 INFO i.a.i.d.s.S3StorageOperations(createBucketObjectIfNotExists):96 - Storage Object mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ has been created in bucket. 2022-04-12 23:07:41 destination > 2022-04-12 23:07:41 INFO i.a.i.d.b.BigQueryGcsOperations(createTmpTableIfNotExists):94 - Creating tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_edx_line_items}} 2022-04-12 23:07:41 destination > 2022-04-12 23:07:41 INFO i.a.i.d.b.BigQueryUtils(createPartitionedTable):131 - Partitioned table created successfully: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_edx_line_items}} 2022-04-12 23:07:41 destination > 2022-04-12 23:07:41 INFO i.a.i.d.b.BigQueryGcsOperations(createStageIfNotExists):101 - Creating staging path for stream line_items (dataset hubspot_): product/hubspot__line_items/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-12 23:07:41 destination > 2022-04-12 23:07:41 INFO i.a.i.d.s.S3StorageOperations(createBucketObjectIfNotExists):94 - Storage Object mansagroup-airbyte-bigquery-buffer/product/hubspot__line_items/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ does not exist in bucket; creating... 2022-04-12 23:07:41 destination > 2022-04-12 23:07:41 INFO i.a.i.d.s.S3StorageOperations(createBucketObjectIfNotExists):96 - Storage Object mansagroup-airbyte-bigquery-buffer/product/hubspot__line_items/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ has been created in bucket. 2022-04-12 23:07:41 destination > 2022-04-12 23:07:41 INFO i.a.i.d.b.BigQueryGcsOperations(createTmpTableIfNotExists):94 - Creating tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_cve_engagements_tasks}} 2022-04-12 23:07:42 destination > 2022-04-12 23:07:42 INFO i.a.i.d.b.BigQueryUtils(createPartitionedTable):131 - Partitioned table created successfully: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_cve_engagements_tasks}} 2022-04-12 23:07:42 destination > 2022-04-12 23:07:42 INFO i.a.i.d.b.BigQueryGcsOperations(createStageIfNotExists):101 - Creating staging path for stream engagements_tasks (dataset hubspot_): product/hubspot__engagements_tasks/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-12 23:07:42 destination > 2022-04-12 23:07:42 INFO i.a.i.d.s.S3StorageOperations(createBucketObjectIfNotExists):94 - Storage Object mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_tasks/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ does not exist in bucket; creating... 2022-04-12 23:07:42 destination > 2022-04-12 23:07:42 INFO i.a.i.d.s.S3StorageOperations(createBucketObjectIfNotExists):96 - Storage Object mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_tasks/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ has been created in bucket. 2022-04-12 23:07:42 destination > 2022-04-12 23:07:42 INFO i.a.i.d.b.BigQueryGcsOperations(createTmpTableIfNotExists):94 - Creating tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_epz_contacts_list_memberships}} 2022-04-12 23:07:42 destination > 2022-04-12 23:07:42 INFO i.a.i.d.b.BigQueryUtils(createPartitionedTable):131 - Partitioned table created successfully: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_epz_contacts_list_memberships}} 2022-04-12 23:07:42 destination > 2022-04-12 23:07:42 INFO i.a.i.d.b.BigQueryGcsOperations(createStageIfNotExists):101 - Creating staging path for stream contacts_list_memberships (dataset hubspot_): product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-12 23:07:42 destination > 2022-04-12 23:07:42 INFO i.a.i.d.s.S3StorageOperations(createBucketObjectIfNotExists):94 - Storage Object mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ does not exist in bucket; creating... 2022-04-12 23:07:42 destination > 2022-04-12 23:07:42 INFO i.a.i.d.s.S3StorageOperations(createBucketObjectIfNotExists):96 - Storage Object mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ has been created in bucket. 2022-04-12 23:07:42 destination > 2022-04-12 23:07:42 INFO i.a.i.d.b.BigQueryGcsOperations(createTmpTableIfNotExists):94 - Creating tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_myb_ticket_pipelines}} 2022-04-12 23:07:42 destination > 2022-04-12 23:07:42 INFO i.a.i.d.b.BigQueryUtils(createPartitionedTable):131 - Partitioned table created successfully: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_myb_ticket_pipelines}} 2022-04-12 23:07:42 destination > 2022-04-12 23:07:42 INFO i.a.i.d.b.BigQueryGcsOperations(createStageIfNotExists):101 - Creating staging path for stream ticket_pipelines (dataset hubspot_): product/hubspot__ticket_pipelines/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-12 23:07:42 destination > 2022-04-12 23:07:42 INFO i.a.i.d.s.S3StorageOperations(createBucketObjectIfNotExists):94 - Storage Object mansagroup-airbyte-bigquery-buffer/product/hubspot__ticket_pipelines/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ does not exist in bucket; creating... 2022-04-12 23:07:42 destination > 2022-04-12 23:07:42 INFO i.a.i.d.s.S3StorageOperations(createBucketObjectIfNotExists):96 - Storage Object mansagroup-airbyte-bigquery-buffer/product/hubspot__ticket_pipelines/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ has been created in bucket. 2022-04-12 23:07:42 destination > 2022-04-12 23:07:42 INFO i.a.i.d.b.BigQueryGcsOperations(createTmpTableIfNotExists):94 - Creating tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_iui_email_events}} 2022-04-12 23:07:42 destination > 2022-04-12 23:07:42 INFO i.a.i.d.b.BigQueryUtils(createPartitionedTable):131 - Partitioned table created successfully: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_iui_email_events}} 2022-04-12 23:07:42 destination > 2022-04-12 23:07:42 INFO i.a.i.d.b.BigQueryGcsOperations(createStageIfNotExists):101 - Creating staging path for stream email_events (dataset hubspot_): product/hubspot__email_events/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-12 23:07:43 destination > 2022-04-12 23:07:43 INFO i.a.i.d.s.S3StorageOperations(createBucketObjectIfNotExists):94 - Storage Object mansagroup-airbyte-bigquery-buffer/product/hubspot__email_events/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ does not exist in bucket; creating... 2022-04-12 23:07:43 destination > 2022-04-12 23:07:43 INFO i.a.i.d.s.S3StorageOperations(createBucketObjectIfNotExists):96 - Storage Object mansagroup-airbyte-bigquery-buffer/product/hubspot__email_events/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ has been created in bucket. 2022-04-12 23:07:43 destination > 2022-04-12 23:07:43 INFO i.a.i.d.b.BigQueryGcsOperations(createTmpTableIfNotExists):94 - Creating tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_vth_engagements_calls}} 2022-04-12 23:07:43 destination > 2022-04-12 23:07:43 INFO i.a.i.d.b.BigQueryUtils(createPartitionedTable):131 - Partitioned table created successfully: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_vth_engagements_calls}} 2022-04-12 23:07:43 destination > 2022-04-12 23:07:43 INFO i.a.i.d.b.BigQueryGcsOperations(createStageIfNotExists):101 - Creating staging path for stream engagements_calls (dataset hubspot_): product/hubspot__engagements_calls/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-12 23:07:43 destination > 2022-04-12 23:07:43 INFO i.a.i.d.s.S3StorageOperations(createBucketObjectIfNotExists):94 - Storage Object mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_calls/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ does not exist in bucket; creating... 2022-04-12 23:07:43 destination > 2022-04-12 23:07:43 INFO i.a.i.d.s.S3StorageOperations(createBucketObjectIfNotExists):96 - Storage Object mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_calls/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ has been created in bucket. 2022-04-12 23:07:43 destination > 2022-04-12 23:07:43 INFO i.a.i.d.b.BigQueryGcsOperations(createTmpTableIfNotExists):94 - Creating tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_avz_contact_lists}} 2022-04-12 23:07:43 destination > 2022-04-12 23:07:43 INFO i.a.i.d.b.BigQueryUtils(createPartitionedTable):131 - Partitioned table created successfully: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_avz_contact_lists}} 2022-04-12 23:07:43 destination > 2022-04-12 23:07:43 INFO i.a.i.d.b.BigQueryGcsOperations(createStageIfNotExists):101 - Creating staging path for stream contact_lists (dataset hubspot_): product/hubspot__contact_lists/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-12 23:07:43 destination > 2022-04-12 23:07:43 INFO i.a.i.d.s.S3StorageOperations(createBucketObjectIfNotExists):94 - Storage Object mansagroup-airbyte-bigquery-buffer/product/hubspot__contact_lists/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ does not exist in bucket; creating... 2022-04-12 23:07:43 destination > 2022-04-12 23:07:43 INFO i.a.i.d.s.S3StorageOperations(createBucketObjectIfNotExists):96 - Storage Object mansagroup-airbyte-bigquery-buffer/product/hubspot__contact_lists/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ has been created in bucket. 2022-04-12 23:07:43 destination > 2022-04-12 23:07:43 INFO i.a.i.d.b.BigQueryGcsOperations(createTmpTableIfNotExists):94 - Creating tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_hiq_contacts}} 2022-04-12 23:07:43 destination > 2022-04-12 23:07:43 INFO i.a.i.d.b.BigQueryUtils(createPartitionedTable):131 - Partitioned table created successfully: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_hiq_contacts}} 2022-04-12 23:07:43 destination > 2022-04-12 23:07:43 INFO i.a.i.d.b.BigQueryGcsOperations(createStageIfNotExists):101 - Creating staging path for stream contacts (dataset hubspot_): product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-12 23:07:43 destination > 2022-04-12 23:07:43 INFO i.a.i.d.s.S3StorageOperations(createBucketObjectIfNotExists):94 - Storage Object mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ does not exist in bucket; creating... 2022-04-12 23:07:44 destination > 2022-04-12 23:07:44 INFO i.a.i.d.s.S3StorageOperations(createBucketObjectIfNotExists):96 - Storage Object mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ has been created in bucket. 2022-04-12 23:07:44 destination > 2022-04-12 23:07:44 INFO i.a.i.d.b.BigQueryGcsOperations(createTmpTableIfNotExists):94 - Creating tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_jlk_form_submissions}} 2022-04-12 23:07:44 destination > 2022-04-12 23:07:44 INFO i.a.i.d.b.BigQueryUtils(createPartitionedTable):131 - Partitioned table created successfully: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_jlk_form_submissions}} 2022-04-12 23:07:44 destination > 2022-04-12 23:07:44 INFO i.a.i.d.b.BigQueryGcsOperations(createStageIfNotExists):101 - Creating staging path for stream form_submissions (dataset hubspot_): product/hubspot__form_submissions/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-12 23:07:44 destination > 2022-04-12 23:07:44 INFO i.a.i.d.s.S3StorageOperations(createBucketObjectIfNotExists):94 - Storage Object mansagroup-airbyte-bigquery-buffer/product/hubspot__form_submissions/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ does not exist in bucket; creating... 2022-04-12 23:07:44 destination > 2022-04-12 23:07:44 INFO i.a.i.d.s.S3StorageOperations(createBucketObjectIfNotExists):96 - Storage Object mansagroup-airbyte-bigquery-buffer/product/hubspot__form_submissions/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ has been created in bucket. 2022-04-12 23:07:44 destination > 2022-04-12 23:07:44 INFO i.a.i.d.b.BigQueryGcsOperations(createTmpTableIfNotExists):94 - Creating tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_nwt_products}} 2022-04-12 23:07:44 destination > 2022-04-12 23:07:44 INFO i.a.i.d.b.BigQueryUtils(createPartitionedTable):131 - Partitioned table created successfully: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_nwt_products}} 2022-04-12 23:07:44 destination > 2022-04-12 23:07:44 INFO i.a.i.d.b.BigQueryGcsOperations(createStageIfNotExists):101 - Creating staging path for stream products (dataset hubspot_): product/hubspot__products/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-12 23:07:44 destination > 2022-04-12 23:07:44 INFO i.a.i.d.s.S3StorageOperations(createBucketObjectIfNotExists):94 - Storage Object mansagroup-airbyte-bigquery-buffer/product/hubspot__products/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ does not exist in bucket; creating... 2022-04-12 23:07:44 destination > 2022-04-12 23:07:44 INFO i.a.i.d.s.S3StorageOperations(createBucketObjectIfNotExists):96 - Storage Object mansagroup-airbyte-bigquery-buffer/product/hubspot__products/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ has been created in bucket. 2022-04-12 23:07:44 destination > 2022-04-12 23:07:44 INFO i.a.i.d.b.BigQueryGcsOperations(createTmpTableIfNotExists):94 - Creating tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_wjv_campaigns}} 2022-04-12 23:07:44 destination > 2022-04-12 23:07:44 INFO i.a.i.d.b.BigQueryUtils(createPartitionedTable):131 - Partitioned table created successfully: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_wjv_campaigns}} 2022-04-12 23:07:44 destination > 2022-04-12 23:07:44 INFO i.a.i.d.b.BigQueryGcsOperations(createStageIfNotExists):101 - Creating staging path for stream campaigns (dataset hubspot_): product/hubspot__campaigns/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-12 23:07:44 destination > 2022-04-12 23:07:44 INFO i.a.i.d.s.S3StorageOperations(createBucketObjectIfNotExists):94 - Storage Object mansagroup-airbyte-bigquery-buffer/product/hubspot__campaigns/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ does not exist in bucket; creating... 2022-04-12 23:07:44 destination > 2022-04-12 23:07:44 INFO i.a.i.d.s.S3StorageOperations(createBucketObjectIfNotExists):96 - Storage Object mansagroup-airbyte-bigquery-buffer/product/hubspot__campaigns/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ has been created in bucket. 2022-04-12 23:07:44 destination > 2022-04-12 23:07:44 INFO i.a.i.d.b.BigQueryGcsOperations(createTmpTableIfNotExists):94 - Creating tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_pmq_engagements_notes}} 2022-04-12 23:07:44 destination > 2022-04-12 23:07:44 INFO i.a.i.d.b.BigQueryUtils(createPartitionedTable):131 - Partitioned table created successfully: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_pmq_engagements_notes}} 2022-04-12 23:07:44 destination > 2022-04-12 23:07:44 INFO i.a.i.d.b.BigQueryGcsOperations(createStageIfNotExists):101 - Creating staging path for stream engagements_notes (dataset hubspot_): product/hubspot__engagements_notes/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-12 23:07:45 destination > 2022-04-12 23:07:45 INFO i.a.i.d.s.S3StorageOperations(createBucketObjectIfNotExists):94 - Storage Object mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_notes/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ does not exist in bucket; creating... 2022-04-12 23:07:45 destination > 2022-04-12 23:07:45 INFO i.a.i.d.s.S3StorageOperations(createBucketObjectIfNotExists):96 - Storage Object mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_notes/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ has been created in bucket. 2022-04-12 23:07:45 destination > 2022-04-12 23:07:45 INFO i.a.i.d.b.BigQueryGcsOperations(createTmpTableIfNotExists):94 - Creating tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_qtn_quotes}} 2022-04-12 23:07:45 destination > 2022-04-12 23:07:45 INFO i.a.i.d.b.BigQueryUtils(createPartitionedTable):131 - Partitioned table created successfully: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_qtn_quotes}} 2022-04-12 23:07:45 destination > 2022-04-12 23:07:45 INFO i.a.i.d.b.BigQueryGcsOperations(createStageIfNotExists):101 - Creating staging path for stream quotes (dataset hubspot_): product/hubspot__quotes/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-12 23:07:45 destination > 2022-04-12 23:07:45 INFO i.a.i.d.s.S3StorageOperations(createBucketObjectIfNotExists):94 - Storage Object mansagroup-airbyte-bigquery-buffer/product/hubspot__quotes/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ does not exist in bucket; creating... 2022-04-12 23:07:45 destination > 2022-04-12 23:07:45 INFO i.a.i.d.s.S3StorageOperations(createBucketObjectIfNotExists):96 - Storage Object mansagroup-airbyte-bigquery-buffer/product/hubspot__quotes/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ has been created in bucket. 2022-04-12 23:07:45 destination > 2022-04-12 23:07:45 INFO i.a.i.d.b.BigQueryGcsOperations(createTmpTableIfNotExists):94 - Creating tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_oxx_companies}} 2022-04-12 23:07:45 destination > 2022-04-12 23:07:45 INFO i.a.i.d.b.BigQueryUtils(createPartitionedTable):131 - Partitioned table created successfully: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_oxx_companies}} 2022-04-12 23:07:45 destination > 2022-04-12 23:07:45 INFO i.a.i.d.b.BigQueryGcsOperations(createStageIfNotExists):101 - Creating staging path for stream companies (dataset hubspot_): product/hubspot__companies/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-12 23:07:45 destination > 2022-04-12 23:07:45 INFO i.a.i.d.s.S3StorageOperations(createBucketObjectIfNotExists):94 - Storage Object mansagroup-airbyte-bigquery-buffer/product/hubspot__companies/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ does not exist in bucket; creating... 2022-04-12 23:07:45 destination > 2022-04-12 23:07:45 INFO i.a.i.d.s.S3StorageOperations(createBucketObjectIfNotExists):96 - Storage Object mansagroup-airbyte-bigquery-buffer/product/hubspot__companies/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ has been created in bucket. 2022-04-12 23:07:45 destination > 2022-04-12 23:07:45 INFO i.a.i.d.b.BigQueryGcsOperations(createTmpTableIfNotExists):94 - Creating tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_zpp_forms}} 2022-04-12 23:07:45 destination > 2022-04-12 23:07:45 INFO i.a.i.d.b.BigQueryUtils(createPartitionedTable):131 - Partitioned table created successfully: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_zpp_forms}} 2022-04-12 23:07:45 destination > 2022-04-12 23:07:45 INFO i.a.i.d.b.BigQueryGcsOperations(createStageIfNotExists):101 - Creating staging path for stream forms (dataset hubspot_): product/hubspot__forms/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-12 23:07:45 destination > 2022-04-12 23:07:45 INFO i.a.i.d.s.S3StorageOperations(createBucketObjectIfNotExists):94 - Storage Object mansagroup-airbyte-bigquery-buffer/product/hubspot__forms/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ does not exist in bucket; creating... 2022-04-12 23:07:45 destination > 2022-04-12 23:07:45 INFO i.a.i.d.s.S3StorageOperations(createBucketObjectIfNotExists):96 - Storage Object mansagroup-airbyte-bigquery-buffer/product/hubspot__forms/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ has been created in bucket. 2022-04-12 23:07:45 destination > 2022-04-12 23:07:45 INFO i.a.i.d.b.BigQueryGcsOperations(createTmpTableIfNotExists):94 - Creating tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_mrl_owners}} 2022-04-12 23:07:45 destination > 2022-04-12 23:07:45 INFO i.a.i.d.b.BigQueryUtils(createPartitionedTable):131 - Partitioned table created successfully: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_mrl_owners}} 2022-04-12 23:07:45 destination > 2022-04-12 23:07:45 INFO i.a.i.d.b.BigQueryGcsOperations(createStageIfNotExists):101 - Creating staging path for stream owners (dataset hubspot_): product/hubspot__owners/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-12 23:07:46 destination > 2022-04-12 23:07:46 INFO i.a.i.d.s.S3StorageOperations(createBucketObjectIfNotExists):94 - Storage Object mansagroup-airbyte-bigquery-buffer/product/hubspot__owners/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ does not exist in bucket; creating... 2022-04-12 23:07:46 destination > 2022-04-12 23:07:46 INFO i.a.i.d.s.S3StorageOperations(createBucketObjectIfNotExists):96 - Storage Object mansagroup-airbyte-bigquery-buffer/product/hubspot__owners/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ has been created in bucket. 2022-04-12 23:07:46 destination > 2022-04-12 23:07:46 INFO i.a.i.d.b.BigQueryGcsOperations(createTmpTableIfNotExists):94 - Creating tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_ejs_property_history}} 2022-04-12 23:07:46 destination > 2022-04-12 23:07:46 INFO i.a.i.d.b.BigQueryUtils(createPartitionedTable):131 - Partitioned table created successfully: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_ejs_property_history}} 2022-04-12 23:07:46 destination > 2022-04-12 23:07:46 INFO i.a.i.d.b.BigQueryGcsOperations(createStageIfNotExists):101 - Creating staging path for stream property_history (dataset hubspot_): product/hubspot__property_history/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-12 23:07:46 destination > 2022-04-12 23:07:46 INFO i.a.i.d.s.S3StorageOperations(createBucketObjectIfNotExists):94 - Storage Object mansagroup-airbyte-bigquery-buffer/product/hubspot__property_history/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ does not exist in bucket; creating... 2022-04-12 23:07:46 destination > 2022-04-12 23:07:46 INFO i.a.i.d.s.S3StorageOperations(createBucketObjectIfNotExists):96 - Storage Object mansagroup-airbyte-bigquery-buffer/product/hubspot__property_history/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ has been created in bucket. 2022-04-12 23:07:46 destination > 2022-04-12 23:07:46 INFO i.a.i.d.b.BigQueryGcsOperations(createTmpTableIfNotExists):94 - Creating tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_uyu_tickets}} 2022-04-12 23:07:46 destination > 2022-04-12 23:07:46 INFO i.a.i.d.b.BigQueryUtils(createPartitionedTable):131 - Partitioned table created successfully: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_uyu_tickets}} 2022-04-12 23:07:46 destination > 2022-04-12 23:07:46 INFO i.a.i.d.b.BigQueryGcsOperations(createStageIfNotExists):101 - Creating staging path for stream tickets (dataset hubspot_): product/hubspot__tickets/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-12 23:07:46 destination > 2022-04-12 23:07:46 INFO i.a.i.d.s.S3StorageOperations(createBucketObjectIfNotExists):94 - Storage Object mansagroup-airbyte-bigquery-buffer/product/hubspot__tickets/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ does not exist in bucket; creating... 2022-04-12 23:07:46 destination > 2022-04-12 23:07:46 INFO i.a.i.d.s.S3StorageOperations(createBucketObjectIfNotExists):96 - Storage Object mansagroup-airbyte-bigquery-buffer/product/hubspot__tickets/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ has been created in bucket. 2022-04-12 23:07:46 destination > 2022-04-12 23:07:46 INFO i.a.i.d.b.BigQueryGcsOperations(createTmpTableIfNotExists):94 - Creating tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_iyt_deals}} 2022-04-12 23:07:46 destination > 2022-04-12 23:07:46 INFO i.a.i.d.b.BigQueryUtils(createPartitionedTable):131 - Partitioned table created successfully: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_iyt_deals}} 2022-04-12 23:07:46 destination > 2022-04-12 23:07:46 INFO i.a.i.d.b.BigQueryGcsOperations(createStageIfNotExists):101 - Creating staging path for stream deals (dataset hubspot_): product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-12 23:07:46 destination > 2022-04-12 23:07:46 INFO i.a.i.d.s.S3StorageOperations(createBucketObjectIfNotExists):94 - Storage Object mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ does not exist in bucket; creating... 2022-04-12 23:07:46 destination > 2022-04-12 23:07:46 INFO i.a.i.d.s.S3StorageOperations(createBucketObjectIfNotExists):96 - Storage Object mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ has been created in bucket. 2022-04-12 23:07:46 destination > 2022-04-12 23:07:46 INFO i.a.i.d.b.BigQueryGcsOperations(createTmpTableIfNotExists):94 - Creating tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_vff_engagements_emails}} 2022-04-12 23:07:46 destination > 2022-04-12 23:07:46 INFO i.a.i.d.b.BigQueryUtils(createPartitionedTable):131 - Partitioned table created successfully: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_vff_engagements_emails}} 2022-04-12 23:07:46 destination > 2022-04-12 23:07:46 INFO i.a.i.d.b.BigQueryGcsOperations(createStageIfNotExists):101 - Creating staging path for stream engagements_emails (dataset hubspot_): product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-12 23:07:47 destination > 2022-04-12 23:07:47 INFO i.a.i.d.s.S3StorageOperations(createBucketObjectIfNotExists):94 - Storage Object mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ does not exist in bucket; creating... 2022-04-12 23:07:47 destination > 2022-04-12 23:07:47 INFO i.a.i.d.s.S3StorageOperations(createBucketObjectIfNotExists):96 - Storage Object mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ has been created in bucket. 2022-04-12 23:07:47 destination > 2022-04-12 23:07:47 INFO i.a.i.d.b.BigQueryGcsOperations(createTmpTableIfNotExists):94 - Creating tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_nbw_deal_pipelines}} 2022-04-12 23:07:47 destination > 2022-04-12 23:07:47 INFO i.a.i.d.b.BigQueryUtils(createPartitionedTable):131 - Partitioned table created successfully: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_nbw_deal_pipelines}} 2022-04-12 23:07:47 destination > 2022-04-12 23:07:47 INFO i.a.i.d.b.BigQueryGcsOperations(createStageIfNotExists):101 - Creating staging path for stream deal_pipelines (dataset hubspot_): product/hubspot__deal_pipelines/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-12 23:07:47 destination > 2022-04-12 23:07:47 INFO i.a.i.d.s.S3StorageOperations(createBucketObjectIfNotExists):94 - Storage Object mansagroup-airbyte-bigquery-buffer/product/hubspot__deal_pipelines/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ does not exist in bucket; creating... 2022-04-12 23:07:47 destination > 2022-04-12 23:07:47 INFO i.a.i.d.s.S3StorageOperations(createBucketObjectIfNotExists):96 - Storage Object mansagroup-airbyte-bigquery-buffer/product/hubspot__deal_pipelines/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ has been created in bucket. 2022-04-12 23:07:47 destination > 2022-04-12 23:07:47 INFO i.a.i.d.b.BigQueryStagingConsumerFactory(lambda$onStartFunction$3):107 - Preparing tmp tables in destination completed. 2022-04-12 23:07:47 destination > 2022-04-12 23:07:47 INFO i.a.i.d.r.SerializedBufferingStrategy(lambda$addRecord$0):55 - Starting a new buffer for stream campaigns (current state: 0 bytes in 0 buffers) 2022-04-12 23:07:47 destination > 2022-04-12 23:07:47 INFO i.a.i.d.g.u.GcsUtils(getDefaultAvroSchema):25 - Default schema. 2022-04-12 23:07:49 source > Read 40 records from campaigns stream 2022-04-12 23:07:49 source > Finished syncing SourceHubspot 2022-04-12 23:07:49 source > SourceHubspot runtimes: 2022-04-12 23:07:49 source > Syncing stream: companies 2022-04-12 23:07:50 destination > 2022-04-12 23:07:50 INFO i.a.i.d.r.SerializedBufferingStrategy(lambda$addRecord$0):55 - Starting a new buffer for stream companies (current state: 0 bytes in 1 buffers) 2022-04-12 23:07:50 destination > 2022-04-12 23:07:50 INFO i.a.i.d.g.u.GcsUtils(getDefaultAvroSchema):25 - Default schema. 2022-04-12 23:08:35 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 8000 (48 MB) 2022-04-12 23:08:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 9000 (54 MB) 2022-04-12 23:08:48 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 10000 (60 MB) 2022-04-12 23:08:54 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 11000 (66 MB) 2022-04-12 23:08:59 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 12000 (72 MB) 2022-04-12 23:09:05 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 13000 (79 MB) 2022-04-12 23:09:11 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 14000 (85 MB) 2022-04-12 23:09:17 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 15000 (91 MB) 2022-04-12 23:09:25 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 16000 (101 MB) 2022-04-12 23:09:34 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 17000 (114 MB) 2022-04-12 23:09:19 source > Advancing bookmark for companies stream from None to 2022-04-12T23:05:00.608000+00:00 2022-04-12 23:09:19 source > Read 15247 records from companies stream 2022-04-12 23:09:19 source > Finished syncing SourceHubspot 2022-04-12 23:09:19 source > SourceHubspot runtimes: 2022-04-12 23:09:19 source > Syncing stream: contact_lists 2022-04-12 23:09:19 destination > 2022-04-12 23:09:19 INFO i.a.i.d.r.SerializedBufferingStrategy(lambda$addRecord$0):55 - Starting a new buffer for stream contact_lists (current state: 93 MB in 2 buffers) 2022-04-12 23:09:19 destination > 2022-04-12 23:09:19 INFO i.a.i.d.g.u.GcsUtils(getDefaultAvroSchema):25 - Default schema. 2022-04-12 23:09:19 source > Advancing bookmark for contact_lists stream from None to 2022-02-11T09:40:34.910000+00:00 2022-04-12 23:09:19 source > Read 81 records from contact_lists stream 2022-04-12 23:09:19 source > Finished syncing SourceHubspot 2022-04-12 23:09:19 source > SourceHubspot runtimes: 2022-04-12 23:09:19 source > Syncing stream: contacts 2022-04-12 23:09:20 source > Couldn't parse date/datetime string in date_debut_d_activite, trying to parse timestamp... Field value: 3 ans. Ex: Unable to parse string [3 ans] 2022-04-12 23:09:20 source > Couldn't parse timestamp in date_debut_d_activite. Field value: 3 ans. Ex: invalid literal for int() with base 10: '3 ans' 2022-04-12 23:09:20 source > Couldn't parse date/datetime string in date_debut_d_activite, trying to parse timestamp... Field value: Novembre 2019. Ex: Unable to parse string [Novembre 2019] 2022-04-12 23:09:20 source > Couldn't parse timestamp in date_debut_d_activite. Field value: Novembre 2019. Ex: invalid literal for int() with base 10: 'Novembre 2019' 2022-04-12 23:09:20 source > Couldn't parse date/datetime string in date_debut_d_activite, trying to parse timestamp... Field value: 1 mai 2018. Ex: Unable to parse string [1 mai 2018] 2022-04-12 23:09:20 source > Couldn't parse timestamp in date_debut_d_activite. Field value: 1 mai 2018. Ex: invalid literal for int() with base 10: '1 mai 2018' 2022-04-12 23:09:20 source > Couldn't parse date/datetime string in date_debut_d_activite, trying to parse timestamp... Field value: ASAP. Ex: Unable to parse string [ASAP] 2022-04-12 23:09:20 source > Couldn't parse timestamp in date_debut_d_activite. Field value: ASAP. Ex: invalid literal for int() with base 10: 'ASAP' 2022-04-12 23:09:20 source > Couldn't parse date/datetime string in date_debut_d_activite, trying to parse timestamp... Field value: @Jan 01, 2013. Ex: Unable to parse string [@Jan 01, 2013] 2022-04-12 23:09:20 source > Couldn't parse timestamp in date_debut_d_activite. Field value: @Jan 01, 2013. Ex: invalid literal for int() with base 10: '@Jan 01, 2013' 2022-04-12 23:09:20 source > Couldn't parse date/datetime string in date_debut_d_activite, trying to parse timestamp... Field value: Juin 2019. Ex: Unable to parse string [Juin 2019] 2022-04-12 23:09:20 source > Couldn't parse timestamp in date_debut_d_activite. Field value: Juin 2019. Ex: invalid literal for int() with base 10: 'Juin 2019' 2022-04-12 23:09:20 source > Couldn't parse date/datetime string in date_debut_d_activite, trying to parse timestamp... Field value: 1 an. Ex: Unable to parse string [1 an] 2022-04-12 23:09:20 source > Couldn't parse timestamp in date_debut_d_activite. Field value: 1 an. Ex: invalid literal for int() with base 10: '1 an' 2022-04-12 23:09:20 source > Couldn't parse date/datetime string in date_debut_d_activite, trying to parse timestamp... Field value: Février 2019. Ex: Unable to parse string [Février 2019] 2022-04-12 23:09:20 source > Couldn't parse timestamp in date_debut_d_activite. Field value: Février 2019. Ex: invalid literal for int() with base 10: 'Février 2019' 2022-04-12 23:09:20 source > Couldn't parse date/datetime string in date_debut_d_activite, trying to parse timestamp... Field value: 2 ans. Ex: Unable to parse string [2 ans] 2022-04-12 23:09:20 source > Couldn't parse timestamp in date_debut_d_activite. Field value: 2 ans. Ex: invalid literal for int() with base 10: '2 ans' 2022-04-12 23:09:20 source > Couldn't parse date/datetime string in date_debut_d_activite, trying to parse timestamp... Field value: 1 an et demi. Ex: Unable to parse string [1 an et demi] 2022-04-12 23:09:20 source > Couldn't parse timestamp in date_debut_d_activite. Field value: 1 an et demi. Ex: invalid literal for int() with base 10: '1 an et demi' 2022-04-12 23:09:20 source > Couldn't parse date/datetime string in date_debut_d_activite, trying to parse timestamp... Field value: 3 ans. Ex: Unable to parse string [3 ans] 2022-04-12 23:09:20 source > Couldn't parse timestamp in date_debut_d_activite. Field value: 3 ans. Ex: invalid literal for int() with base 10: '3 ans' 2022-04-12 23:09:20 source > Couldn't parse date/datetime string in date_debut_d_activite, trying to parse timestamp... Field value: janvier 2019. Ex: Unable to parse string [janvier 2019] 2022-04-12 23:09:20 source > Couldn't parse timestamp in date_debut_d_activite. Field value: janvier 2019. Ex: invalid literal for int() with base 10: 'janvier 2019' 2022-04-12 23:09:20 destination > 2022-04-12 23:09:20 INFO i.a.i.d.r.SerializedBufferingStrategy(lambda$addRecord$0):55 - Starting a new buffer for stream contacts (current state: 94 MB in 3 buffers) 2022-04-12 23:09:20 destination > 2022-04-12 23:09:20 INFO i.a.i.d.g.u.GcsUtils(getDefaultAvroSchema):25 - Default schema. 2022-04-12 23:09:21 source > Couldn't parse date/datetime string in date_debut_d_activite, trying to parse timestamp... Field value: 2 ans. Ex: Unable to parse string [2 ans] 2022-04-12 23:09:21 source > Couldn't parse timestamp in date_debut_d_activite. Field value: 2 ans. Ex: invalid literal for int() with base 10: '2 ans' 2022-04-12 23:09:21 source > Couldn't parse date/datetime string in date_debut_d_activite, trying to parse timestamp... Field value: 3 ans. Ex: Unable to parse string [3 ans] 2022-04-12 23:09:21 source > Couldn't parse timestamp in date_debut_d_activite. Field value: 3 ans. Ex: invalid literal for int() with base 10: '3 ans' 2022-04-12 23:09:21 source > Couldn't parse date/datetime string in date_debut_d_activite, trying to parse timestamp... Field value: 2 ans. Ex: Unable to parse string [2 ans] 2022-04-12 23:09:21 source > Couldn't parse timestamp in date_debut_d_activite. Field value: 2 ans. Ex: invalid literal for int() with base 10: '2 ans' 2022-04-12 23:09:21 source > Couldn't parse date/datetime string in date_debut_d_activite, trying to parse timestamp... Field value: Septembre 2019. Ex: Unable to parse string [Septembre 2019] 2022-04-12 23:09:21 source > Couldn't parse timestamp in date_debut_d_activite. Field value: Septembre 2019. Ex: invalid literal for int() with base 10: 'Septembre 2019' 2022-04-12 23:09:44 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 18000 (127 MB) 2022-04-12 23:09:54 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 19000 (140 MB) 2022-04-12 23:10:04 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 20000 (153 MB) 2022-04-12 23:10:13 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 21000 (167 MB) 2022-04-12 23:10:22 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 22000 (180 MB) 2022-04-12 23:10:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 23000 (193 MB) 2022-04-12 23:10:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 24000 (207 MB) 2022-04-12 23:10:51 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 25000 (220 MB) 2022-04-12 23:11:01 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 26000 (233 MB) 2022-04-12 23:11:11 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 27000 (246 MB) 2022-04-12 23:11:21 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 28000 (259 MB) 2022-04-12 23:11:30 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 29000 (272 MB) 2022-04-12 23:11:40 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 30000 (286 MB) 2022-04-12 23:11:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 31000 (300 MB) 2022-04-12 23:11:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 32000 (314 MB) 2022-04-12 23:12:06 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 33000 (326 MB) 2022-04-12 23:12:14 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 34000 (339 MB) 2022-04-12 23:12:23 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 35000 (352 MB) 2022-04-12 23:12:31 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 36000 (365 MB) 2022-04-12 23:11:44 destination > 2022-04-12 23:11:44 INFO i.a.i.d.r.SerializedBufferingStrategy(flushWriter):82 - Flushing buffer of stream contacts (200 MB) 2022-04-12 23:11:44 destination > 2022-04-12 23:11:44 INFO i.a.i.d.b.BigQueryStagingConsumerFactory(lambda$flushBufferFunction$4):115 - Flushing buffer for stream contacts (200 MB) to staging 2022-04-12 23:11:44 destination > 2022-04-12 23:11:44 INFO i.a.i.d.r.BaseSerializedBuffer(flush):138 - Finished writing data to 59154702-8a5b-4128-b9d7-e00fe4339ad19266785609065751156.avro (200 MB) 2022-04-12 23:11:44 destination > 2022-04-12 23:11:44 INFO i.a.i.d.b.BigQueryGcsOperations(uploadRecordsToStage):108 - Uploading records to staging for stream contacts (dataset hubspot_): product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-12 23:11:44 destination > 2022-04-12 23:11:44 INFO i.a.i.d.s.u.StreamTransferManagerHelper(getDefault):55 - PartSize arg is set to 5 MB 2022-04-12 23:11:44 destination > 2022-04-12 23:11:44 INFO a.m.s.StreamTransferManager(getMultiPartOutputStreams):329 - Initiated multipart upload to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with full ID ABPnzm6Wi8BOpk410EhMt9F6NzW6WN13W-AHy-Y9ysYZDmVfcF3gc76jbyD7dkKFkwc_vNTo 2022-04-12 23:11:45 destination > 2022-04-12 23:11:45 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm6Wi...Fkwc_vNTo]: Finished uploading [Part number 1 containing 5.01 MB] 2022-04-12 23:11:46 destination > 2022-04-12 23:11:46 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm6Wi...Fkwc_vNTo]: Finished uploading [Part number 9 containing 5.01 MB] 2022-04-12 23:11:46 destination > 2022-04-12 23:11:46 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm6Wi...Fkwc_vNTo]: Finished uploading [Part number 7 containing 5.01 MB] 2022-04-12 23:11:46 destination > 2022-04-12 23:11:46 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm6Wi...Fkwc_vNTo]: Finished uploading [Part number 4 containing 5.01 MB] 2022-04-12 23:11:46 destination > 2022-04-12 23:11:46 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm6Wi...Fkwc_vNTo]: Finished uploading [Part number 10 containing 5.01 MB] 2022-04-12 23:11:46 destination > 2022-04-12 23:11:46 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm6Wi...Fkwc_vNTo]: Finished uploading [Part number 6 containing 5.01 MB] 2022-04-12 23:11:46 destination > 2022-04-12 23:11:46 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm6Wi...Fkwc_vNTo]: Finished uploading [Part number 3 containing 5.01 MB] 2022-04-12 23:11:46 destination > 2022-04-12 23:11:46 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm6Wi...Fkwc_vNTo]: Finished uploading [Part number 8 containing 5.01 MB] 2022-04-12 23:11:46 destination > 2022-04-12 23:11:46 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm6Wi...Fkwc_vNTo]: Finished uploading [Part number 5 containing 5.01 MB] 2022-04-12 23:11:46 destination > 2022-04-12 23:11:46 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm6Wi...Fkwc_vNTo]: Finished uploading [Part number 2 containing 5.01 MB] 2022-04-12 23:11:46 destination > 2022-04-12 23:11:46 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm6Wi...Fkwc_vNTo]: Finished uploading [Part number 11 containing 5.01 MB] 2022-04-12 23:11:46 destination > 2022-04-12 23:11:46 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm6Wi...Fkwc_vNTo]: Finished uploading [Part number 12 containing 5.01 MB] 2022-04-12 23:11:46 destination > 2022-04-12 23:11:46 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm6Wi...Fkwc_vNTo]: Finished uploading [Part number 15 containing 5.01 MB] 2022-04-12 23:11:46 destination > 2022-04-12 23:11:46 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm6Wi...Fkwc_vNTo]: Finished uploading [Part number 19 containing 5.01 MB] 2022-04-12 23:11:46 destination > 2022-04-12 23:11:46 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm6Wi...Fkwc_vNTo]: Finished uploading [Part number 14 containing 5.01 MB] 2022-04-12 23:11:46 destination > 2022-04-12 23:11:46 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm6Wi...Fkwc_vNTo]: Finished uploading [Part number 13 containing 5.01 MB] 2022-04-12 23:11:46 destination > 2022-04-12 23:11:46 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm6Wi...Fkwc_vNTo]: Finished uploading [Part number 17 containing 5.01 MB] 2022-04-12 23:11:46 destination > 2022-04-12 23:11:46 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm6Wi...Fkwc_vNTo]: Finished uploading [Part number 16 containing 5.01 MB] 2022-04-12 23:11:46 destination > 2022-04-12 23:11:46 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm6Wi...Fkwc_vNTo]: Finished uploading [Part number 20 containing 5.01 MB] 2022-04-12 23:11:46 destination > 2022-04-12 23:11:46 INFO a.m.s.MultiPartOutputStream(close):158 - Called close() on [MultipartOutputStream for parts 1 - 10000] 2022-04-12 23:11:46 destination > 2022-04-12 23:11:46 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm6Wi...Fkwc_vNTo]: Finished uploading [Part number 25 containing 5.01 MB] 2022-04-12 23:11:46 destination > 2022-04-12 23:11:46 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm6Wi...Fkwc_vNTo]: Finished uploading [Part number 18 containing 5.01 MB] 2022-04-12 23:11:46 destination > 2022-04-12 23:11:46 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm6Wi...Fkwc_vNTo]: Finished uploading [Part number 22 containing 5.01 MB] 2022-04-12 23:11:46 destination > 2022-04-12 23:11:46 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm6Wi...Fkwc_vNTo]: Finished uploading [Part number 21 containing 5.01 MB] 2022-04-12 23:11:46 destination > 2022-04-12 23:11:46 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm6Wi...Fkwc_vNTo]: Finished uploading [Part number 27 containing 5.01 MB] 2022-04-12 23:11:46 destination > 2022-04-12 23:11:46 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm6Wi...Fkwc_vNTo]: Finished uploading [Part number 29 containing 5.01 MB] 2022-04-12 23:11:46 destination > 2022-04-12 23:11:46 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm6Wi...Fkwc_vNTo]: Finished uploading [Part number 23 containing 5.01 MB] 2022-04-12 23:11:46 destination > 2022-04-12 23:11:46 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm6Wi...Fkwc_vNTo]: Finished uploading [Part number 26 containing 5.01 MB] 2022-04-12 23:11:46 destination > 2022-04-12 23:11:46 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm6Wi...Fkwc_vNTo]: Finished uploading [Part number 24 containing 5.01 MB] 2022-04-12 23:11:46 destination > 2022-04-12 23:11:46 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm6Wi...Fkwc_vNTo]: Finished uploading [Part number 28 containing 5.01 MB] 2022-04-12 23:11:46 destination > 2022-04-12 23:11:46 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm6Wi...Fkwc_vNTo]: Finished uploading [Part number 33 containing 5.01 MB] 2022-04-12 23:11:46 destination > 2022-04-12 23:11:46 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm6Wi...Fkwc_vNTo]: Finished uploading [Part number 32 containing 5.01 MB] 2022-04-12 23:11:46 destination > 2022-04-12 23:11:46 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm6Wi...Fkwc_vNTo]: Finished uploading [Part number 31 containing 5.01 MB] 2022-04-12 23:11:46 destination > 2022-04-12 23:11:46 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm6Wi...Fkwc_vNTo]: Finished uploading [Part number 35 containing 5.01 MB] 2022-04-12 23:11:46 destination > 2022-04-12 23:11:46 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm6Wi...Fkwc_vNTo]: Finished uploading [Part number 30 containing 5.01 MB] 2022-04-12 23:11:46 destination > 2022-04-12 23:11:46 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm6Wi...Fkwc_vNTo]: Finished uploading [Part number 34 containing 5.01 MB] 2022-04-12 23:11:46 destination > 2022-04-12 23:11:46 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm6Wi...Fkwc_vNTo]: Finished uploading [Part number 38 containing 5.01 MB] 2022-04-12 23:11:46 destination > 2022-04-12 23:11:46 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm6Wi...Fkwc_vNTo]: Finished uploading [Part number 37 containing 5.01 MB] 2022-04-12 23:11:46 destination > 2022-04-12 23:11:46 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm6Wi...Fkwc_vNTo]: Finished uploading [Part number 36 containing 5.01 MB] 2022-04-12 23:11:46 destination > 2022-04-12 23:11:46 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm6Wi...Fkwc_vNTo]: Finished uploading [Part number 39 containing 9.73 MB] 2022-04-12 23:11:47 destination > 2022-04-12 23:11:47 INFO a.m.s.StreamTransferManager(complete):395 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm6Wi...Fkwc_vNTo]: Completed 2022-04-12 23:11:47 destination > 2022-04-12 23:11:47 INFO i.a.i.d.s.S3StorageOperations(loadDataIntoBucket):161 - Uploaded buffer file to storage: 59154702-8a5b-4128-b9d7-e00fe4339ad19266785609065751156.avro -> product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro (filename: 1.avro) 2022-04-12 23:11:47 destination > 2022-04-12 23:11:47 INFO i.a.i.d.b.BigQueryWriteConfig(addStagedFile):53 - Added staged file: 1.avro 2022-04-12 23:11:47 destination > 2022-04-12 23:11:47 INFO i.a.i.d.r.FileBuffer(deleteFile):81 - Deleting tempFile data 59154702-8a5b-4128-b9d7-e00fe4339ad19266785609065751156.avro 2022-04-12 23:11:47 destination > 2022-04-12 23:11:47 INFO i.a.i.d.r.SerializedBufferingStrategy(lambda$addRecord$0):55 - Starting a new buffer for stream contacts (current state: 94 MB in 3 buffers) 2022-04-12 23:11:47 destination > 2022-04-12 23:11:47 INFO i.a.i.d.g.u.GcsUtils(getDefaultAvroSchema):25 - Default schema. 2022-04-12 23:12:39 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 37000 (378 MB) 2022-04-12 23:12:47 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 38000 (391 MB) 2022-04-12 23:12:56 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 39000 (404 MB) 2022-04-12 23:13:05 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 40000 (417 MB) 2022-04-12 23:13:13 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 41000 (429 MB) 2022-04-12 23:13:22 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 42000 (443 MB) 2022-04-12 23:13:33 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 43000 (456 MB) 2022-04-12 23:13:43 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 44000 (469 MB) 2022-04-12 23:13:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 45000 (483 MB) 2022-04-12 23:14:06 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 46000 (496 MB) 2022-04-12 23:14:16 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 47000 (509 MB) 2022-04-12 23:14:25 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 48000 (522 MB) 2022-04-12 23:14:02 destination > 2022-04-12 23:14:02 INFO i.a.i.d.r.SerializedBufferingStrategy(flushWriter):82 - Flushing buffer of stream contacts (200 MB) 2022-04-12 23:14:02 destination > 2022-04-12 23:14:02 INFO i.a.i.d.b.BigQueryStagingConsumerFactory(lambda$flushBufferFunction$4):115 - Flushing buffer for stream contacts (200 MB) to staging 2022-04-12 23:14:02 destination > 2022-04-12 23:14:02 INFO i.a.i.d.r.BaseSerializedBuffer(flush):138 - Finished writing data to 37b0653f-cf3c-49b6-9dbf-541bf0638fbe10183617791502512571.avro (200 MB) 2022-04-12 23:14:02 destination > 2022-04-12 23:14:02 INFO i.a.i.d.b.BigQueryGcsOperations(uploadRecordsToStage):108 - Uploading records to staging for stream contacts (dataset hubspot_): product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-12 23:14:02 destination > 2022-04-12 23:14:02 INFO i.a.i.d.s.u.StreamTransferManagerHelper(getDefault):55 - PartSize arg is set to 5 MB 2022-04-12 23:14:02 destination > 2022-04-12 23:14:02 INFO a.m.s.StreamTransferManager(getMultiPartOutputStreams):329 - Initiated multipart upload to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with full ID ABPnzm4HtUaQkQ8t1Z77xiTEOZsq7fVszLj_yO8ZHoQkyTcRPWwkAYaM2dYDouS6B0nVoCjA 2022-04-12 23:14:02 destination > 2022-04-12 23:14:02 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm4Ht...6B0nVoCjA]: Finished uploading [Part number 1 containing 5.01 MB] 2022-04-12 23:14:02 destination > 2022-04-12 23:14:02 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm4Ht...6B0nVoCjA]: Finished uploading [Part number 2 containing 5.01 MB] 2022-04-12 23:14:02 destination > 2022-04-12 23:14:02 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm4Ht...6B0nVoCjA]: Finished uploading [Part number 3 containing 5.01 MB] 2022-04-12 23:14:02 destination > 2022-04-12 23:14:02 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm4Ht...6B0nVoCjA]: Finished uploading [Part number 6 containing 5.01 MB] 2022-04-12 23:14:02 destination > 2022-04-12 23:14:02 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm4Ht...6B0nVoCjA]: Finished uploading [Part number 9 containing 5.01 MB] 2022-04-12 23:14:02 destination > 2022-04-12 23:14:02 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm4Ht...6B0nVoCjA]: Finished uploading [Part number 4 containing 5.01 MB] 2022-04-12 23:14:03 destination > 2022-04-12 23:14:03 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm4Ht...6B0nVoCjA]: Finished uploading [Part number 7 containing 5.01 MB] 2022-04-12 23:14:03 destination > 2022-04-12 23:14:03 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm4Ht...6B0nVoCjA]: Finished uploading [Part number 8 containing 5.01 MB] 2022-04-12 23:14:03 destination > 2022-04-12 23:14:03 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm4Ht...6B0nVoCjA]: Finished uploading [Part number 5 containing 5.01 MB] 2022-04-12 23:14:03 destination > 2022-04-12 23:14:03 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm4Ht...6B0nVoCjA]: Finished uploading [Part number 12 containing 5.01 MB] 2022-04-12 23:14:03 destination > 2022-04-12 23:14:03 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm4Ht...6B0nVoCjA]: Finished uploading [Part number 10 containing 5.01 MB] 2022-04-12 23:14:03 destination > 2022-04-12 23:14:03 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm4Ht...6B0nVoCjA]: Finished uploading [Part number 14 containing 5.01 MB] 2022-04-12 23:14:03 destination > 2022-04-12 23:14:03 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm4Ht...6B0nVoCjA]: Finished uploading [Part number 13 containing 5.01 MB] 2022-04-12 23:14:03 destination > 2022-04-12 23:14:03 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm4Ht...6B0nVoCjA]: Finished uploading [Part number 11 containing 5.01 MB] 2022-04-12 23:14:03 destination > 2022-04-12 23:14:03 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm4Ht...6B0nVoCjA]: Finished uploading [Part number 15 containing 5.01 MB] 2022-04-12 23:14:03 destination > 2022-04-12 23:14:03 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm4Ht...6B0nVoCjA]: Finished uploading [Part number 16 containing 5.01 MB] 2022-04-12 23:14:03 destination > 2022-04-12 23:14:03 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm4Ht...6B0nVoCjA]: Finished uploading [Part number 17 containing 5.01 MB] 2022-04-12 23:14:03 destination > 2022-04-12 23:14:03 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm4Ht...6B0nVoCjA]: Finished uploading [Part number 19 containing 5.01 MB] 2022-04-12 23:14:03 destination > 2022-04-12 23:14:03 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm4Ht...6B0nVoCjA]: Finished uploading [Part number 24 containing 5.01 MB] 2022-04-12 23:14:03 destination > 2022-04-12 23:14:03 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm4Ht...6B0nVoCjA]: Finished uploading [Part number 18 containing 5.01 MB] 2022-04-12 23:14:03 destination > 2022-04-12 23:14:03 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm4Ht...6B0nVoCjA]: Finished uploading [Part number 20 containing 5.01 MB] 2022-04-12 23:14:03 destination > 2022-04-12 23:14:03 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm4Ht...6B0nVoCjA]: Finished uploading [Part number 26 containing 5.01 MB] 2022-04-12 23:14:03 destination > 2022-04-12 23:14:03 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm4Ht...6B0nVoCjA]: Finished uploading [Part number 22 containing 5.01 MB] 2022-04-12 23:14:03 destination > 2022-04-12 23:14:03 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm4Ht...6B0nVoCjA]: Finished uploading [Part number 23 containing 5.01 MB] 2022-04-12 23:14:03 destination > 2022-04-12 23:14:03 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm4Ht...6B0nVoCjA]: Finished uploading [Part number 25 containing 5.01 MB] 2022-04-12 23:14:03 destination > 2022-04-12 23:14:03 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm4Ht...6B0nVoCjA]: Finished uploading [Part number 21 containing 5.01 MB] 2022-04-12 23:14:03 destination > 2022-04-12 23:14:03 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm4Ht...6B0nVoCjA]: Finished uploading [Part number 27 containing 5.01 MB] 2022-04-12 23:14:03 destination > 2022-04-12 23:14:03 INFO a.m.s.MultiPartOutputStream(close):158 - Called close() on [MultipartOutputStream for parts 1 - 10000] 2022-04-12 23:14:03 destination > 2022-04-12 23:14:03 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm4Ht...6B0nVoCjA]: Finished uploading [Part number 31 containing 5.01 MB] 2022-04-12 23:14:03 destination > 2022-04-12 23:14:03 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm4Ht...6B0nVoCjA]: Finished uploading [Part number 30 containing 5.01 MB] 2022-04-12 23:14:03 destination > 2022-04-12 23:14:03 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm4Ht...6B0nVoCjA]: Finished uploading [Part number 33 containing 5.01 MB] 2022-04-12 23:14:03 destination > 2022-04-12 23:14:03 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm4Ht...6B0nVoCjA]: Finished uploading [Part number 29 containing 5.01 MB] 2022-04-12 23:14:03 destination > 2022-04-12 23:14:03 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm4Ht...6B0nVoCjA]: Finished uploading [Part number 34 containing 5.01 MB] 2022-04-12 23:14:03 destination > 2022-04-12 23:14:03 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm4Ht...6B0nVoCjA]: Finished uploading [Part number 32 containing 5.01 MB] 2022-04-12 23:14:03 destination > 2022-04-12 23:14:03 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm4Ht...6B0nVoCjA]: Finished uploading [Part number 35 containing 5.01 MB] 2022-04-12 23:14:03 destination > 2022-04-12 23:14:03 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm4Ht...6B0nVoCjA]: Finished uploading [Part number 36 containing 5.01 MB] 2022-04-12 23:14:03 destination > 2022-04-12 23:14:03 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm4Ht...6B0nVoCjA]: Finished uploading [Part number 37 containing 5.01 MB] 2022-04-12 23:14:03 destination > 2022-04-12 23:14:03 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm4Ht...6B0nVoCjA]: Finished uploading [Part number 38 containing 5.01 MB] 2022-04-12 23:14:03 destination > 2022-04-12 23:14:03 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm4Ht...6B0nVoCjA]: Finished uploading [Part number 39 containing 9.74 MB] 2022-04-12 23:14:03 destination > 2022-04-12 23:14:03 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm4Ht...6B0nVoCjA]: Finished uploading [Part number 28 containing 5.01 MB] 2022-04-12 23:14:03 destination > 2022-04-12 23:14:03 INFO a.m.s.StreamTransferManager(complete):395 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm4Ht...6B0nVoCjA]: Completed 2022-04-12 23:14:03 destination > 2022-04-12 23:14:03 INFO i.a.i.d.s.S3StorageOperations(loadDataIntoBucket):161 - Uploaded buffer file to storage: 37b0653f-cf3c-49b6-9dbf-541bf0638fbe10183617791502512571.avro -> product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro (filename: 2.avro) 2022-04-12 23:14:03 destination > 2022-04-12 23:14:03 INFO i.a.i.d.b.BigQueryWriteConfig(addStagedFile):53 - Added staged file: 2.avro 2022-04-12 23:14:03 destination > 2022-04-12 23:14:03 INFO i.a.i.d.r.FileBuffer(deleteFile):81 - Deleting tempFile data 37b0653f-cf3c-49b6-9dbf-541bf0638fbe10183617791502512571.avro 2022-04-12 23:14:03 destination > 2022-04-12 23:14:03 INFO i.a.i.d.r.SerializedBufferingStrategy(lambda$addRecord$0):55 - Starting a new buffer for stream contacts (current state: 94 MB in 3 buffers) 2022-04-12 23:14:03 destination > 2022-04-12 23:14:03 INFO i.a.i.d.g.u.GcsUtils(getDefaultAvroSchema):25 - Default schema. 2022-04-12 23:14:35 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 49000 (534 MB) 2022-04-12 23:14:44 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 50000 (547 MB) 2022-04-12 23:14:53 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 51000 (560 MB) 2022-04-12 23:15:02 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 52000 (573 MB) 2022-04-12 23:15:11 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 53000 (586 MB) 2022-04-12 23:15:20 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 54000 (598 MB) 2022-04-12 23:15:28 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 55000 (611 MB) 2022-04-12 23:15:37 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 56000 (623 MB) 2022-04-12 23:15:45 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 57000 (636 MB) 2022-04-12 23:15:53 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 58000 (649 MB) 2022-04-12 23:16:02 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 59000 (661 MB) 2022-04-12 23:16:10 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 60000 (674 MB) 2022-04-12 23:16:17 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 61000 (687 MB) 2022-04-12 23:16:27 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 62000 (700 MB) 2022-04-12 23:16:20 destination > 2022-04-12 23:16:20 INFO i.a.i.d.r.SerializedBufferingStrategy(flushWriter):82 - Flushing buffer of stream contacts (200 MB) 2022-04-12 23:16:20 destination > 2022-04-12 23:16:20 INFO i.a.i.d.b.BigQueryStagingConsumerFactory(lambda$flushBufferFunction$4):115 - Flushing buffer for stream contacts (200 MB) to staging 2022-04-12 23:16:20 destination > 2022-04-12 23:16:20 INFO i.a.i.d.r.BaseSerializedBuffer(flush):138 - Finished writing data to 29518a5b-8fb1-494f-832f-eab2ea1df83b4566793033719474333.avro (200 MB) 2022-04-12 23:16:20 destination > 2022-04-12 23:16:20 INFO i.a.i.d.b.BigQueryGcsOperations(uploadRecordsToStage):108 - Uploading records to staging for stream contacts (dataset hubspot_): product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-12 23:16:20 destination > 2022-04-12 23:16:20 INFO i.a.i.d.s.u.StreamTransferManagerHelper(getDefault):55 - PartSize arg is set to 5 MB 2022-04-12 23:16:20 destination > 2022-04-12 23:16:20 INFO a.m.s.StreamTransferManager(getMultiPartOutputStreams):329 - Initiated multipart upload to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with full ID ABPnzm43zjzJY_l1AA-U8jqN4J3GaSTtaDUpUGe_l4aQlNkcqBhfbzWATpRlEw6XeSXLa53f 2022-04-12 23:16:20 destination > 2022-04-12 23:16:20 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm43z...XeSXLa53f]: Finished uploading [Part number 1 containing 5.01 MB] 2022-04-12 23:16:20 destination > 2022-04-12 23:16:20 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm43z...XeSXLa53f]: Finished uploading [Part number 2 containing 5.01 MB] 2022-04-12 23:16:20 destination > 2022-04-12 23:16:20 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm43z...XeSXLa53f]: Finished uploading [Part number 3 containing 5.01 MB] 2022-04-12 23:16:20 destination > 2022-04-12 23:16:20 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm43z...XeSXLa53f]: Finished uploading [Part number 6 containing 5.01 MB] 2022-04-12 23:16:20 destination > 2022-04-12 23:16:20 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm43z...XeSXLa53f]: Finished uploading [Part number 5 containing 5.01 MB] 2022-04-12 23:16:21 destination > 2022-04-12 23:16:21 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm43z...XeSXLa53f]: Finished uploading [Part number 4 containing 5.01 MB] 2022-04-12 23:16:21 destination > 2022-04-12 23:16:21 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm43z...XeSXLa53f]: Finished uploading [Part number 7 containing 5.01 MB] 2022-04-12 23:16:21 destination > 2022-04-12 23:16:21 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm43z...XeSXLa53f]: Finished uploading [Part number 11 containing 5.01 MB] 2022-04-12 23:16:21 destination > 2022-04-12 23:16:21 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm43z...XeSXLa53f]: Finished uploading [Part number 8 containing 5.01 MB] 2022-04-12 23:16:21 destination > 2022-04-12 23:16:21 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm43z...XeSXLa53f]: Finished uploading [Part number 9 containing 5.01 MB] 2022-04-12 23:16:21 destination > 2022-04-12 23:16:21 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm43z...XeSXLa53f]: Finished uploading [Part number 13 containing 5.01 MB] 2022-04-12 23:16:21 destination > 2022-04-12 23:16:21 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm43z...XeSXLa53f]: Finished uploading [Part number 12 containing 5.01 MB] 2022-04-12 23:16:21 destination > 2022-04-12 23:16:21 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm43z...XeSXLa53f]: Finished uploading [Part number 10 containing 5.01 MB] 2022-04-12 23:16:21 destination > 2022-04-12 23:16:21 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm43z...XeSXLa53f]: Finished uploading [Part number 14 containing 5.01 MB] 2022-04-12 23:16:21 destination > 2022-04-12 23:16:21 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm43z...XeSXLa53f]: Finished uploading [Part number 18 containing 5.01 MB] 2022-04-12 23:16:21 destination > 2022-04-12 23:16:21 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm43z...XeSXLa53f]: Finished uploading [Part number 16 containing 5.01 MB] 2022-04-12 23:16:21 destination > 2022-04-12 23:16:21 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm43z...XeSXLa53f]: Finished uploading [Part number 17 containing 5.01 MB] 2022-04-12 23:16:21 destination > 2022-04-12 23:16:21 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm43z...XeSXLa53f]: Finished uploading [Part number 15 containing 5.01 MB] 2022-04-12 23:16:21 destination > 2022-04-12 23:16:21 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm43z...XeSXLa53f]: Finished uploading [Part number 19 containing 5.01 MB] 2022-04-12 23:16:21 destination > 2022-04-12 23:16:21 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm43z...XeSXLa53f]: Finished uploading [Part number 21 containing 5.01 MB] 2022-04-12 23:16:21 destination > 2022-04-12 23:16:21 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm43z...XeSXLa53f]: Finished uploading [Part number 24 containing 5.01 MB] 2022-04-12 23:16:21 destination > 2022-04-12 23:16:21 INFO a.m.s.MultiPartOutputStream(close):158 - Called close() on [MultipartOutputStream for parts 1 - 10000] 2022-04-12 23:16:21 destination > 2022-04-12 23:16:21 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm43z...XeSXLa53f]: Finished uploading [Part number 23 containing 5.01 MB] 2022-04-12 23:16:21 destination > 2022-04-12 23:16:21 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm43z...XeSXLa53f]: Finished uploading [Part number 22 containing 5.01 MB] 2022-04-12 23:16:21 destination > 2022-04-12 23:16:21 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm43z...XeSXLa53f]: Finished uploading [Part number 25 containing 5.01 MB] 2022-04-12 23:16:21 destination > 2022-04-12 23:16:21 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm43z...XeSXLa53f]: Finished uploading [Part number 20 containing 5.01 MB] 2022-04-12 23:16:21 destination > 2022-04-12 23:16:21 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm43z...XeSXLa53f]: Finished uploading [Part number 26 containing 5.01 MB] 2022-04-12 23:16:21 destination > 2022-04-12 23:16:21 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm43z...XeSXLa53f]: Finished uploading [Part number 29 containing 5.01 MB] 2022-04-12 23:16:21 destination > 2022-04-12 23:16:21 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm43z...XeSXLa53f]: Finished uploading [Part number 35 containing 5.01 MB] 2022-04-12 23:16:21 destination > 2022-04-12 23:16:21 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm43z...XeSXLa53f]: Finished uploading [Part number 31 containing 5.01 MB] 2022-04-12 23:16:21 destination > 2022-04-12 23:16:21 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm43z...XeSXLa53f]: Finished uploading [Part number 32 containing 5.01 MB] 2022-04-12 23:16:21 destination > 2022-04-12 23:16:21 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm43z...XeSXLa53f]: Finished uploading [Part number 28 containing 5.01 MB] 2022-04-12 23:16:21 destination > 2022-04-12 23:16:21 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm43z...XeSXLa53f]: Finished uploading [Part number 27 containing 5.01 MB] 2022-04-12 23:16:21 destination > 2022-04-12 23:16:21 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm43z...XeSXLa53f]: Finished uploading [Part number 33 containing 5.01 MB] 2022-04-12 23:16:21 destination > 2022-04-12 23:16:21 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm43z...XeSXLa53f]: Finished uploading [Part number 34 containing 5.01 MB] 2022-04-12 23:16:21 destination > 2022-04-12 23:16:21 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm43z...XeSXLa53f]: Finished uploading [Part number 37 containing 5.01 MB] 2022-04-12 23:16:21 destination > 2022-04-12 23:16:21 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm43z...XeSXLa53f]: Finished uploading [Part number 30 containing 5.01 MB] 2022-04-12 23:16:21 destination > 2022-04-12 23:16:21 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm43z...XeSXLa53f]: Finished uploading [Part number 38 containing 5.01 MB] 2022-04-12 23:16:21 destination > 2022-04-12 23:16:21 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm43z...XeSXLa53f]: Finished uploading [Part number 36 containing 5.01 MB] 2022-04-12 23:16:21 destination > 2022-04-12 23:16:21 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm43z...XeSXLa53f]: Finished uploading [Part number 39 containing 9.76 MB] 2022-04-12 23:16:21 destination > 2022-04-12 23:16:21 INFO a.m.s.StreamTransferManager(complete):395 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm43z...XeSXLa53f]: Completed 2022-04-12 23:16:21 destination > 2022-04-12 23:16:21 INFO i.a.i.d.s.S3StorageOperations(loadDataIntoBucket):161 - Uploaded buffer file to storage: 29518a5b-8fb1-494f-832f-eab2ea1df83b4566793033719474333.avro -> product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro (filename: 3.avro) 2022-04-12 23:16:21 destination > 2022-04-12 23:16:21 INFO i.a.i.d.b.BigQueryWriteConfig(addStagedFile):53 - Added staged file: 3.avro 2022-04-12 23:16:21 destination > 2022-04-12 23:16:21 INFO i.a.i.d.r.FileBuffer(deleteFile):81 - Deleting tempFile data 29518a5b-8fb1-494f-832f-eab2ea1df83b4566793033719474333.avro 2022-04-12 23:16:21 destination > 2022-04-12 23:16:21 INFO i.a.i.d.r.SerializedBufferingStrategy(lambda$addRecord$0):55 - Starting a new buffer for stream contacts (current state: 94 MB in 3 buffers) 2022-04-12 23:16:21 destination > 2022-04-12 23:16:21 INFO i.a.i.d.g.u.GcsUtils(getDefaultAvroSchema):25 - Default schema. 2022-04-12 23:16:38 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 63000 (712 MB) 2022-04-12 23:16:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 64000 (725 MB) 2022-04-12 23:16:59 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 65000 (738 MB) 2022-04-12 23:17:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 66000 (751 MB) 2022-04-12 23:17:19 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 67000 (765 MB) 2022-04-12 23:17:29 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 68000 (778 MB) 2022-04-12 23:17:39 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 69000 (792 MB) 2022-04-12 23:17:48 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 70000 (806 MB) 2022-04-12 23:17:57 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 71000 (820 MB) 2022-04-12 23:18:07 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 72000 (834 MB) 2022-04-12 23:18:16 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 73000 (848 MB) 2022-04-12 23:18:25 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 74000 (862 MB) 2022-04-12 23:18:33 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 75000 (876 MB) 2022-04-12 23:18:42 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 76000 (890 MB) 2022-04-12 23:18:51 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 77000 (904 MB) 2022-04-12 23:18:59 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 78000 (918 MB) 2022-04-12 23:19:08 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 79000 (932 MB) 2022-04-12 23:19:16 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 80000 (946 MB) 2022-04-12 23:19:25 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 81000 (959 MB) 2022-04-12 23:18:42 destination > 2022-04-12 23:18:42 INFO i.a.i.d.r.SerializedBufferingStrategy(flushWriter):82 - Flushing buffer of stream contacts (200 MB) 2022-04-12 23:18:42 destination > 2022-04-12 23:18:42 INFO i.a.i.d.b.BigQueryStagingConsumerFactory(lambda$flushBufferFunction$4):115 - Flushing buffer for stream contacts (200 MB) to staging 2022-04-12 23:18:43 destination > 2022-04-12 23:18:43 INFO i.a.i.d.r.BaseSerializedBuffer(flush):138 - Finished writing data to 09f8d696-dce7-408a-bb3d-9cf92dc6118915673129015812995863.avro (200 MB) 2022-04-12 23:18:43 destination > 2022-04-12 23:18:43 INFO i.a.i.d.b.BigQueryGcsOperations(uploadRecordsToStage):108 - Uploading records to staging for stream contacts (dataset hubspot_): product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-12 23:18:43 destination > 2022-04-12 23:18:43 INFO i.a.i.d.s.u.StreamTransferManagerHelper(getDefault):55 - PartSize arg is set to 5 MB 2022-04-12 23:18:43 destination > 2022-04-12 23:18:43 INFO a.m.s.StreamTransferManager(getMultiPartOutputStreams):329 - Initiated multipart upload to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with full ID ABPnzm5FjacnCb94CiMUaJy84ctgWhoAKPoLC3ty-OxhNN5pyAzsRYFMpL6jS8t7CsywUrC8 2022-04-12 23:18:43 destination > 2022-04-12 23:18:43 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm5Fj...7CsywUrC8]: Finished uploading [Part number 1 containing 5.01 MB] 2022-04-12 23:18:43 destination > 2022-04-12 23:18:43 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm5Fj...7CsywUrC8]: Finished uploading [Part number 3 containing 5.01 MB] 2022-04-12 23:18:43 destination > 2022-04-12 23:18:43 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm5Fj...7CsywUrC8]: Finished uploading [Part number 2 containing 5.01 MB] 2022-04-12 23:18:43 destination > 2022-04-12 23:18:43 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm5Fj...7CsywUrC8]: Finished uploading [Part number 5 containing 5.01 MB] 2022-04-12 23:18:43 destination > 2022-04-12 23:18:43 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm5Fj...7CsywUrC8]: Finished uploading [Part number 8 containing 5.01 MB] 2022-04-12 23:18:43 destination > 2022-04-12 23:18:43 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm5Fj...7CsywUrC8]: Finished uploading [Part number 4 containing 5.01 MB] 2022-04-12 23:18:43 destination > 2022-04-12 23:18:43 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm5Fj...7CsywUrC8]: Finished uploading [Part number 6 containing 5.01 MB] 2022-04-12 23:18:43 destination > 2022-04-12 23:18:43 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm5Fj...7CsywUrC8]: Finished uploading [Part number 7 containing 5.01 MB] 2022-04-12 23:18:43 destination > 2022-04-12 23:18:43 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm5Fj...7CsywUrC8]: Finished uploading [Part number 10 containing 5.01 MB] 2022-04-12 23:18:43 destination > 2022-04-12 23:18:43 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm5Fj...7CsywUrC8]: Finished uploading [Part number 9 containing 5.01 MB] 2022-04-12 23:18:43 destination > 2022-04-12 23:18:43 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm5Fj...7CsywUrC8]: Finished uploading [Part number 11 containing 5.01 MB] 2022-04-12 23:18:43 destination > 2022-04-12 23:18:43 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm5Fj...7CsywUrC8]: Finished uploading [Part number 15 containing 5.01 MB] 2022-04-12 23:18:43 destination > 2022-04-12 23:18:43 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm5Fj...7CsywUrC8]: Finished uploading [Part number 13 containing 5.01 MB] 2022-04-12 23:18:43 destination > 2022-04-12 23:18:43 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm5Fj...7CsywUrC8]: Finished uploading [Part number 14 containing 5.01 MB] 2022-04-12 23:18:43 destination > 2022-04-12 23:18:43 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm5Fj...7CsywUrC8]: Finished uploading [Part number 17 containing 5.01 MB] 2022-04-12 23:18:43 destination > 2022-04-12 23:18:43 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm5Fj...7CsywUrC8]: Finished uploading [Part number 12 containing 5.01 MB] 2022-04-12 23:18:43 destination > 2022-04-12 23:18:43 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm5Fj...7CsywUrC8]: Finished uploading [Part number 18 containing 5.01 MB] 2022-04-12 23:18:43 destination > 2022-04-12 23:18:43 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm5Fj...7CsywUrC8]: Finished uploading [Part number 16 containing 5.01 MB] 2022-04-12 23:18:43 destination > 2022-04-12 23:18:43 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm5Fj...7CsywUrC8]: Finished uploading [Part number 23 containing 5.01 MB] 2022-04-12 23:18:43 destination > 2022-04-12 23:18:43 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm5Fj...7CsywUrC8]: Finished uploading [Part number 21 containing 5.01 MB] 2022-04-12 23:18:43 destination > 2022-04-12 23:18:43 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm5Fj...7CsywUrC8]: Finished uploading [Part number 20 containing 5.01 MB] 2022-04-12 23:18:43 destination > 2022-04-12 23:18:43 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm5Fj...7CsywUrC8]: Finished uploading [Part number 22 containing 5.01 MB] 2022-04-12 23:18:43 destination > 2022-04-12 23:18:43 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm5Fj...7CsywUrC8]: Finished uploading [Part number 19 containing 5.01 MB] 2022-04-12 23:18:43 destination > 2022-04-12 23:18:43 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm5Fj...7CsywUrC8]: Finished uploading [Part number 24 containing 5.01 MB] 2022-04-12 23:18:43 destination > 2022-04-12 23:18:43 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm5Fj...7CsywUrC8]: Finished uploading [Part number 26 containing 5.01 MB] 2022-04-12 23:18:43 destination > 2022-04-12 23:18:43 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm5Fj...7CsywUrC8]: Finished uploading [Part number 27 containing 5.01 MB] 2022-04-12 23:18:43 destination > 2022-04-12 23:18:43 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm5Fj...7CsywUrC8]: Finished uploading [Part number 25 containing 5.01 MB] 2022-04-12 23:18:44 destination > 2022-04-12 23:18:44 INFO a.m.s.MultiPartOutputStream(close):158 - Called close() on [MultipartOutputStream for parts 1 - 10000] 2022-04-12 23:18:44 destination > 2022-04-12 23:18:44 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm5Fj...7CsywUrC8]: Finished uploading [Part number 28 containing 5.01 MB] 2022-04-12 23:18:44 destination > 2022-04-12 23:18:44 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm5Fj...7CsywUrC8]: Finished uploading [Part number 30 containing 5.01 MB] 2022-04-12 23:18:44 destination > 2022-04-12 23:18:44 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm5Fj...7CsywUrC8]: Finished uploading [Part number 29 containing 5.01 MB] 2022-04-12 23:18:44 destination > 2022-04-12 23:18:44 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm5Fj...7CsywUrC8]: Finished uploading [Part number 35 containing 5.01 MB] 2022-04-12 23:18:44 destination > 2022-04-12 23:18:44 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm5Fj...7CsywUrC8]: Finished uploading [Part number 32 containing 5.01 MB] 2022-04-12 23:18:44 destination > 2022-04-12 23:18:44 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm5Fj...7CsywUrC8]: Finished uploading [Part number 34 containing 5.01 MB] 2022-04-12 23:18:44 destination > 2022-04-12 23:18:44 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm5Fj...7CsywUrC8]: Finished uploading [Part number 33 containing 5.01 MB] 2022-04-12 23:18:44 destination > 2022-04-12 23:18:44 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm5Fj...7CsywUrC8]: Finished uploading [Part number 31 containing 5.01 MB] 2022-04-12 23:18:44 destination > 2022-04-12 23:18:44 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm5Fj...7CsywUrC8]: Finished uploading [Part number 37 containing 5.01 MB] 2022-04-12 23:18:44 destination > 2022-04-12 23:18:44 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm5Fj...7CsywUrC8]: Finished uploading [Part number 36 containing 5.01 MB] 2022-04-12 23:18:44 destination > 2022-04-12 23:18:44 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm5Fj...7CsywUrC8]: Finished uploading [Part number 38 containing 5.01 MB] 2022-04-12 23:18:44 destination > 2022-04-12 23:18:44 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm5Fj...7CsywUrC8]: Finished uploading [Part number 39 containing 9.78 MB] 2022-04-12 23:18:44 destination > 2022-04-12 23:18:44 INFO a.m.s.StreamTransferManager(complete):395 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm5Fj...7CsywUrC8]: Completed 2022-04-12 23:18:44 destination > 2022-04-12 23:18:44 INFO i.a.i.d.s.S3StorageOperations(loadDataIntoBucket):161 - Uploaded buffer file to storage: 09f8d696-dce7-408a-bb3d-9cf92dc6118915673129015812995863.avro -> product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro (filename: 4.avro) 2022-04-12 23:18:44 destination > 2022-04-12 23:18:44 INFO i.a.i.d.b.BigQueryWriteConfig(addStagedFile):53 - Added staged file: 4.avro 2022-04-12 23:18:44 destination > 2022-04-12 23:18:44 INFO i.a.i.d.r.FileBuffer(deleteFile):81 - Deleting tempFile data 09f8d696-dce7-408a-bb3d-9cf92dc6118915673129015812995863.avro 2022-04-12 23:18:44 destination > 2022-04-12 23:18:44 INFO i.a.i.d.r.SerializedBufferingStrategy(lambda$addRecord$0):55 - Starting a new buffer for stream contacts (current state: 94 MB in 3 buffers) 2022-04-12 23:18:44 destination > 2022-04-12 23:18:44 INFO i.a.i.d.g.u.GcsUtils(getDefaultAvroSchema):25 - Default schema. 2022-04-12 23:19:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 82000 (973 MB) 2022-04-12 23:19:46 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 83000 (987 MB) 2022-04-12 23:19:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 84000 (1001 MB) 2022-04-12 23:20:05 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 85000 (1014 MB) 2022-04-12 23:20:15 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 86000 (1 GB) 2022-04-12 23:20:25 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 87000 (1 GB) 2022-04-12 23:20:34 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 88000 (1 GB) 2022-04-12 23:20:43 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 89000 (1 GB) 2022-04-12 23:20:52 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 90000 (1 GB) 2022-04-12 23:21:03 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 91000 (1 GB) 2022-04-12 23:21:12 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 92000 (1 GB) 2022-04-12 23:21:14 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 93000 (1 GB) 2022-04-12 23:21:15 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 94000 (1 GB) 2022-04-12 23:21:15 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 95000 (1 GB) 2022-04-12 23:21:15 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 96000 (1 GB) 2022-04-12 23:21:16 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 97000 (1 GB) 2022-04-12 23:21:16 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 98000 (1 GB) 2022-04-12 23:21:16 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 99000 (1 GB) 2022-04-12 23:21:17 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 100000 (1 GB) 2022-04-12 23:21:17 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 101000 (1 GB) 2022-04-12 23:21:18 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 102000 (1 GB) 2022-04-12 23:21:18 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 103000 (1 GB) 2022-04-12 23:21:18 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 104000 (1 GB) 2022-04-12 23:21:19 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 105000 (1 GB) 2022-04-12 23:21:19 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 106000 (1 GB) 2022-04-12 23:21:20 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 107000 (1 GB) 2022-04-12 23:21:20 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 108000 (1 GB) 2022-04-12 23:21:20 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 109000 (1 GB) 2022-04-12 23:21:21 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 110000 (1 GB) 2022-04-12 23:21:21 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 111000 (1 GB) 2022-04-12 23:21:22 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 112000 (1 GB) 2022-04-12 23:21:22 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 113000 (1 GB) 2022-04-12 23:21:23 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 114000 (1 GB) 2022-04-12 23:21:23 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 115000 (1 GB) 2022-04-12 23:21:23 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 116000 (1 GB) 2022-04-12 23:21:24 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 117000 (1 GB) 2022-04-12 23:21:24 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 118000 (1 GB) 2022-04-12 23:21:25 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 119000 (1 GB) 2022-04-12 23:21:25 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 120000 (1 GB) 2022-04-12 23:21:25 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 121000 (1 GB) 2022-04-12 23:21:26 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 122000 (1 GB) 2022-04-12 23:21:26 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 123000 (1 GB) 2022-04-12 23:21:26 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 124000 (1 GB) 2022-04-12 23:21:27 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 125000 (1 GB) 2022-04-12 23:21:27 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 126000 (1 GB) 2022-04-12 23:21:28 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 127000 (1 GB) 2022-04-12 23:21:28 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 128000 (1 GB) 2022-04-12 23:21:28 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 129000 (1 GB) 2022-04-12 23:21:28 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 130000 (1 GB) 2022-04-12 23:21:29 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 131000 (1 GB) 2022-04-12 23:21:29 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 132000 (1 GB) 2022-04-12 23:21:30 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 133000 (1 GB) 2022-04-12 23:21:30 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 134000 (1 GB) 2022-04-12 23:21:30 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 135000 (1 GB) 2022-04-12 23:21:31 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 136000 (1 GB) 2022-04-12 23:21:31 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 137000 (1 GB) 2022-04-12 23:21:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 138000 (1 GB) 2022-04-12 23:21:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 139000 (1 GB) 2022-04-12 23:21:33 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 140000 (1 GB) 2022-04-12 23:21:33 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 141000 (1 GB) 2022-04-12 23:21:33 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 142000 (1 GB) 2022-04-12 23:21:33 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 143000 (1 GB) 2022-04-12 23:20:56 destination > 2022-04-12 23:20:56 INFO i.a.i.d.r.SerializedBufferingStrategy(flushWriter):82 - Flushing buffer of stream contacts (200 MB) 2022-04-12 23:20:56 destination > 2022-04-12 23:20:56 INFO i.a.i.d.b.BigQueryStagingConsumerFactory(lambda$flushBufferFunction$4):115 - Flushing buffer for stream contacts (200 MB) to staging 2022-04-12 23:20:56 destination > 2022-04-12 23:20:56 INFO i.a.i.d.r.BaseSerializedBuffer(flush):138 - Finished writing data to 62c940f3-9624-447b-b9e5-11a609da72be13589691424589340828.avro (200 MB) 2022-04-12 23:20:56 destination > 2022-04-12 23:20:56 INFO i.a.i.d.b.BigQueryGcsOperations(uploadRecordsToStage):108 - Uploading records to staging for stream contacts (dataset hubspot_): product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-12 23:20:56 destination > 2022-04-12 23:20:56 INFO i.a.i.d.s.u.StreamTransferManagerHelper(getDefault):55 - PartSize arg is set to 5 MB 2022-04-12 23:20:56 destination > 2022-04-12 23:20:56 INFO a.m.s.StreamTransferManager(getMultiPartOutputStreams):329 - Initiated multipart upload to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with full ID ABPnzm5PJ6empfL8pllzGt5Sh_gNA9HtXGXivaEY-qKWdV7d7GvqJAYXKRu6NxUYSpfOH9CU 2022-04-12 23:20:56 destination > 2022-04-12 23:20:56 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm5PJ...YSpfOH9CU]: Finished uploading [Part number 1 containing 5.01 MB] 2022-04-12 23:20:56 destination > 2022-04-12 23:20:56 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm5PJ...YSpfOH9CU]: Finished uploading [Part number 2 containing 5.01 MB] 2022-04-12 23:20:56 destination > 2022-04-12 23:20:56 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm5PJ...YSpfOH9CU]: Finished uploading [Part number 3 containing 5.01 MB] 2022-04-12 23:20:56 destination > 2022-04-12 23:20:56 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm5PJ...YSpfOH9CU]: Finished uploading [Part number 4 containing 5.01 MB] 2022-04-12 23:20:56 destination > 2022-04-12 23:20:56 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm5PJ...YSpfOH9CU]: Finished uploading [Part number 5 containing 5.01 MB] 2022-04-12 23:20:56 destination > 2022-04-12 23:20:56 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm5PJ...YSpfOH9CU]: Finished uploading [Part number 10 containing 5.01 MB] 2022-04-12 23:20:56 destination > 2022-04-12 23:20:56 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm5PJ...YSpfOH9CU]: Finished uploading [Part number 9 containing 5.01 MB] 2022-04-12 23:20:56 destination > 2022-04-12 23:20:56 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm5PJ...YSpfOH9CU]: Finished uploading [Part number 6 containing 5.01 MB] 2022-04-12 23:20:56 destination > 2022-04-12 23:20:56 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm5PJ...YSpfOH9CU]: Finished uploading [Part number 8 containing 5.01 MB] 2022-04-12 23:20:56 destination > 2022-04-12 23:20:56 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm5PJ...YSpfOH9CU]: Finished uploading [Part number 7 containing 5.01 MB] 2022-04-12 23:20:56 destination > 2022-04-12 23:20:56 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm5PJ...YSpfOH9CU]: Finished uploading [Part number 11 containing 5.01 MB] 2022-04-12 23:20:56 destination > 2022-04-12 23:20:56 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm5PJ...YSpfOH9CU]: Finished uploading [Part number 15 containing 5.01 MB] 2022-04-12 23:20:56 destination > 2022-04-12 23:20:56 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm5PJ...YSpfOH9CU]: Finished uploading [Part number 14 containing 5.01 MB] 2022-04-12 23:20:56 destination > 2022-04-12 23:20:56 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm5PJ...YSpfOH9CU]: Finished uploading [Part number 13 containing 5.01 MB] 2022-04-12 23:20:56 destination > 2022-04-12 23:20:56 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm5PJ...YSpfOH9CU]: Finished uploading [Part number 17 containing 5.01 MB] 2022-04-12 23:20:56 destination > 2022-04-12 23:20:56 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm5PJ...YSpfOH9CU]: Finished uploading [Part number 12 containing 5.01 MB] 2022-04-12 23:20:56 destination > 2022-04-12 23:20:56 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm5PJ...YSpfOH9CU]: Finished uploading [Part number 19 containing 5.01 MB] 2022-04-12 23:20:56 destination > 2022-04-12 23:20:56 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm5PJ...YSpfOH9CU]: Finished uploading [Part number 18 containing 5.01 MB] 2022-04-12 23:20:56 destination > 2022-04-12 23:20:56 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm5PJ...YSpfOH9CU]: Finished uploading [Part number 16 containing 5.01 MB] 2022-04-12 23:20:56 destination > 2022-04-12 23:20:56 INFO a.m.s.MultiPartOutputStream(close):158 - Called close() on [MultipartOutputStream for parts 1 - 10000] 2022-04-12 23:20:56 destination > 2022-04-12 23:20:56 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm5PJ...YSpfOH9CU]: Finished uploading [Part number 20 containing 5.01 MB] 2022-04-12 23:20:56 destination > 2022-04-12 23:20:56 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm5PJ...YSpfOH9CU]: Finished uploading [Part number 23 containing 5.01 MB] 2022-04-12 23:20:56 destination > 2022-04-12 23:20:56 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm5PJ...YSpfOH9CU]: Finished uploading [Part number 22 containing 5.01 MB] 2022-04-12 23:20:56 destination > 2022-04-12 23:20:56 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm5PJ...YSpfOH9CU]: Finished uploading [Part number 28 containing 5.01 MB] 2022-04-12 23:20:57 destination > 2022-04-12 23:20:57 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm5PJ...YSpfOH9CU]: Finished uploading [Part number 25 containing 5.01 MB] 2022-04-12 23:20:57 destination > 2022-04-12 23:20:57 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm5PJ...YSpfOH9CU]: Finished uploading [Part number 24 containing 5.01 MB] 2022-04-12 23:20:57 destination > 2022-04-12 23:20:57 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm5PJ...YSpfOH9CU]: Finished uploading [Part number 27 containing 5.01 MB] 2022-04-12 23:20:57 destination > 2022-04-12 23:20:57 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm5PJ...YSpfOH9CU]: Finished uploading [Part number 26 containing 5.01 MB] 2022-04-12 23:20:57 destination > 2022-04-12 23:20:57 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm5PJ...YSpfOH9CU]: Finished uploading [Part number 21 containing 5.01 MB] 2022-04-12 23:20:57 destination > 2022-04-12 23:20:57 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm5PJ...YSpfOH9CU]: Finished uploading [Part number 29 containing 5.01 MB] 2022-04-12 23:20:57 destination > 2022-04-12 23:20:57 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm5PJ...YSpfOH9CU]: Finished uploading [Part number 30 containing 5.01 MB] 2022-04-12 23:20:57 destination > 2022-04-12 23:20:57 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm5PJ...YSpfOH9CU]: Finished uploading [Part number 32 containing 5.01 MB] 2022-04-12 23:20:57 destination > 2022-04-12 23:20:57 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm5PJ...YSpfOH9CU]: Finished uploading [Part number 31 containing 5.01 MB] 2022-04-12 23:20:57 destination > 2022-04-12 23:20:57 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm5PJ...YSpfOH9CU]: Finished uploading [Part number 34 containing 5.01 MB] 2022-04-12 23:20:57 destination > 2022-04-12 23:20:57 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm5PJ...YSpfOH9CU]: Finished uploading [Part number 37 containing 5.01 MB] 2022-04-12 23:20:57 destination > 2022-04-12 23:20:57 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm5PJ...YSpfOH9CU]: Finished uploading [Part number 33 containing 5.01 MB] 2022-04-12 23:20:57 destination > 2022-04-12 23:20:57 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm5PJ...YSpfOH9CU]: Finished uploading [Part number 36 containing 5.01 MB] 2022-04-12 23:20:57 destination > 2022-04-12 23:20:57 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm5PJ...YSpfOH9CU]: Finished uploading [Part number 35 containing 5.01 MB] 2022-04-12 23:20:57 destination > 2022-04-12 23:20:57 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm5PJ...YSpfOH9CU]: Finished uploading [Part number 38 containing 5.01 MB] 2022-04-12 23:20:57 destination > 2022-04-12 23:20:57 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm5PJ...YSpfOH9CU]: Finished uploading [Part number 39 containing 9.74 MB] 2022-04-12 23:20:57 destination > 2022-04-12 23:20:57 INFO a.m.s.StreamTransferManager(complete):395 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm5PJ...YSpfOH9CU]: Completed 2022-04-12 23:20:57 destination > 2022-04-12 23:20:57 INFO i.a.i.d.s.S3StorageOperations(loadDataIntoBucket):161 - Uploaded buffer file to storage: 62c940f3-9624-447b-b9e5-11a609da72be13589691424589340828.avro -> product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro (filename: 5.avro) 2022-04-12 23:20:57 destination > 2022-04-12 23:20:57 INFO i.a.i.d.b.BigQueryWriteConfig(addStagedFile):53 - Added staged file: 5.avro 2022-04-12 23:20:57 destination > 2022-04-12 23:20:57 INFO i.a.i.d.r.FileBuffer(deleteFile):81 - Deleting tempFile data 62c940f3-9624-447b-b9e5-11a609da72be13589691424589340828.avro 2022-04-12 23:20:57 destination > 2022-04-12 23:20:57 INFO i.a.i.d.r.SerializedBufferingStrategy(lambda$addRecord$0):55 - Starting a new buffer for stream contacts (current state: 94 MB in 3 buffers) 2022-04-12 23:20:57 destination > 2022-04-12 23:20:57 INFO i.a.i.d.g.u.GcsUtils(getDefaultAvroSchema):25 - Default schema. 2022-04-12 23:21:14 source > Advancing bookmark for contacts stream from None to 2022-04-12T23:16:21.089000+00:00 2022-04-12 23:21:14 source > Read 76741 records from contacts stream 2022-04-12 23:21:14 source > Finished syncing SourceHubspot 2022-04-12 23:21:14 source > SourceHubspot runtimes: 2022-04-12 23:21:14 source > Syncing stream: contacts_list_memberships 2022-04-12 23:21:14 destination > 2022-04-12 23:21:14 INFO i.a.i.d.r.SerializedBufferingStrategy(lambda$addRecord$0):55 - Starting a new buffer for stream contacts_list_memberships (current state: 119 MB in 4 buffers) 2022-04-12 23:21:14 destination > 2022-04-12 23:21:14 INFO i.a.i.d.g.u.GcsUtils(getDefaultAvroSchema):25 - Default schema. 2022-04-12 23:21:34 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 144000 (1 GB) 2022-04-12 23:21:35 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 145000 (1 GB) 2022-04-12 23:21:35 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 146000 (1 GB) 2022-04-12 23:21:35 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 147000 (1 GB) 2022-04-12 23:21:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 148000 (1 GB) 2022-04-12 23:21:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 149000 (1 GB) 2022-04-12 23:21:37 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 150000 (1 GB) 2022-04-12 23:21:37 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 151000 (1 GB) 2022-04-12 23:21:37 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 152000 (1 GB) 2022-04-12 23:21:38 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 153000 (1 GB) 2022-04-12 23:21:38 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 154000 (1 GB) 2022-04-12 23:21:38 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 155000 (1 GB) 2022-04-12 23:21:39 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 156000 (1 GB) 2022-04-12 23:21:39 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 157000 (1 GB) 2022-04-12 23:21:39 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 158000 (1 GB) 2022-04-12 23:21:40 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 159000 (1 GB) 2022-04-12 23:21:40 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 160000 (1 GB) 2022-04-12 23:21:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 161000 (1 GB) 2022-04-12 23:21:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 162000 (1 GB) 2022-04-12 23:21:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 163000 (1 GB) 2022-04-12 23:21:42 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 164000 (1 GB) 2022-04-12 23:21:42 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 165000 (1 GB) 2022-04-12 23:21:43 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 166000 (1 GB) 2022-04-12 23:21:43 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 167000 (1 GB) 2022-04-12 23:21:43 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 168000 (1 GB) 2022-04-12 23:21:44 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 169000 (1 GB) 2022-04-12 23:21:44 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 170000 (1 GB) 2022-04-12 23:21:45 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 171000 (1 GB) 2022-04-12 23:21:45 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 172000 (1 GB) 2022-04-12 23:21:45 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 173000 (1 GB) 2022-04-12 23:21:46 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 174000 (1 GB) 2022-04-12 23:21:46 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 175000 (1 GB) 2022-04-12 23:21:46 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 176000 (1 GB) 2022-04-12 23:21:47 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 177000 (1 GB) 2022-04-12 23:21:47 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 178000 (1 GB) 2022-04-12 23:21:47 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 179000 (1 GB) 2022-04-12 23:21:48 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 180000 (1 GB) 2022-04-12 23:21:48 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 181000 (1 GB) 2022-04-12 23:21:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 182000 (1 GB) 2022-04-12 23:21:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 183000 (1 GB) 2022-04-12 23:21:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 184000 (1 GB) 2022-04-12 23:21:50 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 185000 (1 GB) 2022-04-12 23:21:50 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 186000 (1 GB) 2022-04-12 23:21:50 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 187000 (1 GB) 2022-04-12 23:21:50 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 188000 (1 GB) 2022-04-12 23:21:51 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 189000 (1 GB) 2022-04-12 23:21:51 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 190000 (1 GB) 2022-04-12 23:21:51 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 191000 (1 GB) 2022-04-12 23:21:52 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 192000 (1 GB) 2022-04-12 23:21:52 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 193000 (1 GB) 2022-04-12 23:21:52 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 194000 (1 GB) 2022-04-12 23:21:52 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 195000 (1 GB) 2022-04-12 23:21:53 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 196000 (1 GB) 2022-04-12 23:21:53 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 197000 (1 GB) 2022-04-12 23:21:53 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 198000 (1 GB) 2022-04-12 23:21:54 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 199000 (1 GB) 2022-04-12 23:21:54 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 200000 (1 GB) 2022-04-12 23:21:54 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 201000 (1 GB) 2022-04-12 23:21:54 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 202000 (1 GB) 2022-04-12 23:21:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 203000 (1 GB) 2022-04-12 23:21:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 204000 (1 GB) 2022-04-12 23:21:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 205000 (1 GB) 2022-04-12 23:21:56 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 206000 (1 GB) 2022-04-12 23:21:56 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 207000 (1 GB) 2022-04-12 23:21:56 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 208000 (1 GB) 2022-04-12 23:21:57 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 209000 (1 GB) 2022-04-12 23:21:57 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 210000 (1 GB) 2022-04-12 23:21:57 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 211000 (1 GB) 2022-04-12 23:21:57 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 212000 (1 GB) 2022-04-12 23:21:57 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 213000 (1 GB) 2022-04-12 23:21:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 214000 (1 GB) 2022-04-12 23:21:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 215000 (1 GB) 2022-04-12 23:21:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 216000 (1 GB) 2022-04-12 23:21:59 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 217000 (1 GB) 2022-04-12 23:21:59 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 218000 (1 GB) 2022-04-12 23:21:59 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 219000 (1 GB) 2022-04-12 23:21:59 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 220000 (1 GB) 2022-04-12 23:22:00 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 221000 (1 GB) 2022-04-12 23:22:00 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 222000 (1 GB) 2022-04-12 23:22:00 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 223000 (1 GB) 2022-04-12 23:22:01 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 224000 (1 GB) 2022-04-12 23:22:01 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 225000 (1 GB) 2022-04-12 23:22:01 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 226000 (1 GB) 2022-04-12 23:22:01 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 227000 (1 GB) 2022-04-12 23:22:02 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 228000 (1 GB) 2022-04-12 23:22:02 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 229000 (1 GB) 2022-04-12 23:22:02 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 230000 (1 GB) 2022-04-12 23:22:03 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 231000 (1 GB) 2022-04-12 23:22:03 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 232000 (1 GB) 2022-04-12 23:22:03 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 233000 (1 GB) 2022-04-12 23:22:04 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 234000 (1 GB) 2022-04-12 23:22:04 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 235000 (1 GB) 2022-04-12 23:22:04 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 236000 (1 GB) 2022-04-12 23:22:04 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 237000 (1 GB) 2022-04-12 23:22:05 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 238000 (1 GB) 2022-04-12 23:22:05 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 239000 (1 GB) 2022-04-12 23:22:05 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 240000 (1 GB) 2022-04-12 23:22:06 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 241000 (1 GB) 2022-04-12 23:22:06 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 242000 (1 GB) 2022-04-12 23:22:06 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 243000 (1 GB) 2022-04-12 23:22:06 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 244000 (1 GB) 2022-04-12 23:22:06 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 245000 (1 GB) 2022-04-12 23:22:07 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 246000 (1 GB) 2022-04-12 23:22:07 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 247000 (1 GB) 2022-04-12 23:22:07 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 248000 (1 GB) 2022-04-12 23:22:08 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 249000 (1 GB) 2022-04-12 23:22:08 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 250000 (1 GB) 2022-04-12 23:22:08 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 251000 (1 GB) 2022-04-12 23:22:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 252000 (1 GB) 2022-04-12 23:22:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 253000 (1 GB) 2022-04-12 23:22:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 254000 (1 GB) 2022-04-12 23:22:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 255000 (1 GB) 2022-04-12 23:22:10 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 256000 (1 GB) 2022-04-12 23:22:10 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 257000 (1 GB) 2022-04-12 23:22:10 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 258000 (1 GB) 2022-04-12 23:22:11 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 259000 (1 GB) 2022-04-12 23:22:11 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 260000 (1 GB) 2022-04-12 23:22:11 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 261000 (1 GB) 2022-04-12 23:22:12 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 262000 (1 GB) 2022-04-12 23:22:12 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 263000 (1 GB) 2022-04-12 23:22:12 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 264000 (1 GB) 2022-04-12 23:22:13 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 265000 (1 GB) 2022-04-12 23:22:13 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 266000 (1 GB) 2022-04-12 23:22:13 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 267000 (1 GB) 2022-04-12 23:22:13 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 268000 (1 GB) 2022-04-12 23:22:14 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 269000 (1 GB) 2022-04-12 23:22:14 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 270000 (1 GB) 2022-04-12 23:22:14 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 271000 (1 GB) 2022-04-12 23:22:15 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 272000 (1 GB) 2022-04-12 23:22:15 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 273000 (1 GB) 2022-04-12 23:22:15 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 274000 (1 GB) 2022-04-12 23:22:15 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 275000 (1 GB) 2022-04-12 23:22:16 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 276000 (1 GB) 2022-04-12 23:22:16 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 277000 (1 GB) 2022-04-12 23:22:16 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 278000 (1 GB) 2022-04-12 23:22:16 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 279000 (1 GB) 2022-04-12 23:22:17 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 280000 (1 GB) 2022-04-12 23:22:17 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 281000 (1 GB) 2022-04-12 23:22:17 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 282000 (1 GB) 2022-04-12 23:22:18 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 283000 (1 GB) 2022-04-12 23:22:18 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 284000 (1 GB) 2022-04-12 23:22:18 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 285000 (1 GB) 2022-04-12 23:22:18 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 286000 (1 GB) 2022-04-12 23:22:19 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 287000 (1 GB) 2022-04-12 23:22:19 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 288000 (1 GB) 2022-04-12 23:22:19 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 289000 (1 GB) 2022-04-12 23:22:19 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 290000 (1 GB) 2022-04-12 23:22:20 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 291000 (1 GB) 2022-04-12 23:22:20 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 292000 (1 GB) 2022-04-12 23:22:20 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 293000 (1 GB) 2022-04-12 23:22:21 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 294000 (1 GB) 2022-04-12 23:22:21 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 295000 (1 GB) 2022-04-12 23:22:21 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 296000 (1 GB) 2022-04-12 23:22:22 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 297000 (1 GB) 2022-04-12 23:22:22 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 298000 (1 GB) 2022-04-12 23:22:22 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 299000 (1 GB) 2022-04-12 23:22:22 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 300000 (1 GB) 2022-04-12 23:22:23 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 301000 (1 GB) 2022-04-12 23:22:23 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 302000 (1 GB) 2022-04-12 23:22:23 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 303000 (1 GB) 2022-04-12 23:22:23 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 304000 (1 GB) 2022-04-12 23:22:24 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 305000 (1 GB) 2022-04-12 23:22:24 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 306000 (1 GB) 2022-04-12 23:22:24 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 307000 (1 GB) 2022-04-12 23:22:24 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 308000 (1 GB) 2022-04-12 23:22:25 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 309000 (1 GB) 2022-04-12 23:22:25 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 310000 (1 GB) 2022-04-12 23:22:25 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 311000 (1 GB) 2022-04-12 23:22:26 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 312000 (1 GB) 2022-04-12 23:22:26 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 313000 (1 GB) 2022-04-12 23:22:26 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 314000 (1 GB) 2022-04-12 23:22:26 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 315000 (1 GB) 2022-04-12 23:22:27 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 316000 (1 GB) 2022-04-12 23:22:27 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 317000 (1 GB) 2022-04-12 23:22:27 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 318000 (1 GB) 2022-04-12 23:22:27 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 319000 (1 GB) 2022-04-12 23:22:28 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 320000 (1 GB) 2022-04-12 23:22:28 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 321000 (1 GB) 2022-04-12 23:22:28 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 322000 (1 GB) 2022-04-12 23:22:29 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 323000 (1 GB) 2022-04-12 23:22:29 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 324000 (1 GB) 2022-04-12 23:22:29 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 325000 (1 GB) 2022-04-12 23:22:29 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 326000 (1 GB) 2022-04-12 23:22:30 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 327000 (1 GB) 2022-04-12 23:22:30 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 328000 (1 GB) 2022-04-12 23:22:30 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 329000 (1 GB) 2022-04-12 23:22:31 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 330000 (1 GB) 2022-04-12 23:22:31 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 331000 (1 GB) 2022-04-12 23:22:31 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 332000 (1 GB) 2022-04-12 23:22:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 333000 (1 GB) 2022-04-12 23:22:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 334000 (1 GB) 2022-04-12 23:22:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 335000 (1 GB) 2022-04-12 23:22:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 336000 (1 GB) 2022-04-12 23:22:33 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 337000 (1 GB) 2022-04-12 23:22:33 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 338000 (1 GB) 2022-04-12 23:22:33 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 339000 (1 GB) 2022-04-12 23:22:34 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 340000 (1 GB) 2022-04-12 23:22:34 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 341000 (1 GB) 2022-04-12 23:22:34 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 342000 (1 GB) 2022-04-12 23:22:34 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 343000 (1 GB) 2022-04-12 23:22:35 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 344000 (1 GB) 2022-04-12 23:22:35 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 345000 (1 GB) 2022-04-12 23:22:35 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 346000 (1 GB) 2022-04-12 23:22:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 347000 (1 GB) 2022-04-12 23:22:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 348000 (1 GB) 2022-04-12 23:22:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 349000 (1 GB) 2022-04-12 23:22:37 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 350000 (1 GB) 2022-04-12 23:22:37 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 351000 (1 GB) 2022-04-12 23:22:37 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 352000 (1 GB) 2022-04-12 23:22:38 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 353000 (1 GB) 2022-04-12 23:22:38 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 354000 (1 GB) 2022-04-12 23:22:38 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 355000 (1 GB) 2022-04-12 23:22:38 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 356000 (1 GB) 2022-04-12 23:22:39 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 357000 (1 GB) 2022-04-12 23:22:39 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 358000 (1 GB) 2022-04-12 23:22:39 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 359000 (1 GB) 2022-04-12 23:22:40 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 360000 (1 GB) 2022-04-12 23:22:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 361000 (1 GB) 2022-04-12 23:22:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 362000 (1 GB) 2022-04-12 23:22:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 363000 (1 GB) 2022-04-12 23:22:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 364000 (1 GB) 2022-04-12 23:22:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 365000 (1 GB) 2022-04-12 23:22:42 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 366000 (1 GB) 2022-04-12 23:22:42 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 367000 (1 GB) 2022-04-12 23:22:42 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 368000 (1 GB) 2022-04-12 23:22:43 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 369000 (1 GB) 2022-04-12 23:22:43 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 370000 (1 GB) 2022-04-12 23:22:43 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 371000 (1 GB) 2022-04-12 23:22:43 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 372000 (1 GB) 2022-04-12 23:22:44 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 373000 (1 GB) 2022-04-12 23:22:44 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 374000 (1 GB) 2022-04-12 23:22:44 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 375000 (1 GB) 2022-04-12 23:22:45 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 376000 (1 GB) 2022-04-12 23:22:45 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 377000 (1 GB) 2022-04-12 23:22:45 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 378000 (1 GB) 2022-04-12 23:22:45 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 379000 (1 GB) 2022-04-12 23:22:46 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 380000 (1 GB) 2022-04-12 23:22:46 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 381000 (1 GB) 2022-04-12 23:22:46 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 382000 (1 GB) 2022-04-12 23:22:47 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 383000 (1 GB) 2022-04-12 23:22:47 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 384000 (1 GB) 2022-04-12 23:22:48 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 385000 (1 GB) 2022-04-12 23:22:48 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 386000 (1 GB) 2022-04-12 23:22:48 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 387000 (1 GB) 2022-04-12 23:22:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 388000 (1 GB) 2022-04-12 23:22:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 389000 (1 GB) 2022-04-12 23:22:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 390000 (1 GB) 2022-04-12 23:22:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 391000 (1 GB) 2022-04-12 23:22:50 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 392000 (1 GB) 2022-04-12 23:22:50 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 393000 (1 GB) 2022-04-12 23:22:50 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 394000 (1 GB) 2022-04-12 23:22:51 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 395000 (1 GB) 2022-04-12 23:22:51 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 396000 (1 GB) 2022-04-12 23:22:51 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 397000 (1 GB) 2022-04-12 23:22:51 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 398000 (1 GB) 2022-04-12 23:22:52 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 399000 (1 GB) 2022-04-12 23:22:52 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 400000 (1 GB) 2022-04-12 23:22:53 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 401000 (1 GB) 2022-04-12 23:22:53 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 402000 (1 GB) 2022-04-12 23:22:53 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 403000 (1 GB) 2022-04-12 23:22:53 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 404000 (1 GB) 2022-04-12 23:22:54 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 405000 (1 GB) 2022-04-12 23:22:54 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 406000 (1 GB) 2022-04-12 23:22:54 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 407000 (1 GB) 2022-04-12 23:22:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 408000 (1 GB) 2022-04-12 23:22:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 409000 (1 GB) 2022-04-12 23:22:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 410000 (1 GB) 2022-04-12 23:22:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 411000 (1 GB) 2022-04-12 23:22:56 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 412000 (1 GB) 2022-04-12 23:22:56 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 413000 (1 GB) 2022-04-12 23:22:56 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 414000 (1 GB) 2022-04-12 23:22:57 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 415000 (1 GB) 2022-04-12 23:22:57 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 416000 (1 GB) 2022-04-12 23:22:57 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 417000 (1 GB) 2022-04-12 23:22:57 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 418000 (1 GB) 2022-04-12 23:22:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 419000 (1 GB) 2022-04-12 23:22:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 420000 (1 GB) 2022-04-12 23:22:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 421000 (1 GB) 2022-04-12 23:22:59 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 422000 (1 GB) 2022-04-12 23:22:59 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 423000 (1 GB) 2022-04-12 23:22:59 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 424000 (1 GB) 2022-04-12 23:23:00 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 425000 (1 GB) 2022-04-12 23:23:00 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 426000 (1 GB) 2022-04-12 23:23:01 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 427000 (1 GB) 2022-04-12 23:23:01 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 428000 (1 GB) 2022-04-12 23:23:01 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 429000 (1 GB) 2022-04-12 23:23:02 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 430000 (1 GB) 2022-04-12 23:23:02 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 431000 (1 GB) 2022-04-12 23:23:02 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 432000 (1 GB) 2022-04-12 23:23:03 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 433000 (1 GB) 2022-04-12 23:23:03 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 434000 (1 GB) 2022-04-12 23:23:03 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 435000 (1 GB) 2022-04-12 23:23:03 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 436000 (1 GB) 2022-04-12 23:23:04 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 437000 (1 GB) 2022-04-12 23:23:04 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 438000 (1 GB) 2022-04-12 23:23:05 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 439000 (1 GB) 2022-04-12 23:23:05 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 440000 (1 GB) 2022-04-12 23:23:05 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 441000 (1 GB) 2022-04-12 23:23:05 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 442000 (1 GB) 2022-04-12 23:23:06 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 443000 (1 GB) 2022-04-12 23:23:06 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 444000 (1 GB) 2022-04-12 23:23:07 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 445000 (1 GB) 2022-04-12 23:23:07 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 446000 (1 GB) 2022-04-12 23:23:07 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 447000 (1 GB) 2022-04-12 23:23:07 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 448000 (1 GB) 2022-04-12 23:23:08 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 449000 (1 GB) 2022-04-12 23:23:08 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 450000 (1 GB) 2022-04-12 23:23:08 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 451000 (1 GB) 2022-04-12 23:23:08 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 452000 (1 GB) 2022-04-12 23:23:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 453000 (1 GB) 2022-04-12 23:23:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 454000 (1 GB) 2022-04-12 23:23:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 455000 (1 GB) 2022-04-12 23:23:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 456000 (1 GB) 2022-04-12 23:23:10 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 457000 (1 GB) 2022-04-12 23:23:10 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 458000 (1 GB) 2022-04-12 23:23:10 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 459000 (1 GB) 2022-04-12 23:23:11 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 460000 (1 GB) 2022-04-12 23:23:11 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 461000 (1 GB) 2022-04-12 23:23:11 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 462000 (1 GB) 2022-04-12 23:23:11 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 463000 (1 GB) 2022-04-12 23:23:12 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 464000 (1 GB) 2022-04-12 23:23:12 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 465000 (1 GB) 2022-04-12 23:23:13 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 466000 (1 GB) 2022-04-12 23:23:13 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 467000 (1 GB) 2022-04-12 23:23:13 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 468000 (1 GB) 2022-04-12 23:23:13 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 469000 (1 GB) 2022-04-12 23:23:14 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 470000 (1 GB) 2022-04-12 23:23:14 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 471000 (1 GB) 2022-04-12 23:23:14 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 472000 (1 GB) 2022-04-12 23:23:14 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 473000 (1 GB) 2022-04-12 23:23:15 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 474000 (1 GB) 2022-04-12 23:23:15 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 475000 (1 GB) 2022-04-12 23:23:15 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 476000 (1 GB) 2022-04-12 23:23:16 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 477000 (1 GB) 2022-04-12 23:23:16 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 478000 (1 GB) 2022-04-12 23:23:16 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 479000 (1 GB) 2022-04-12 23:23:17 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 480000 (1 GB) 2022-04-12 23:23:17 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 481000 (1 GB) 2022-04-12 23:23:17 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 482000 (1 GB) 2022-04-12 23:23:17 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 483000 (1 GB) 2022-04-12 23:23:18 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 484000 (1 GB) 2022-04-12 23:23:18 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 485000 (1 GB) 2022-04-12 23:23:18 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 486000 (1 GB) 2022-04-12 23:23:19 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 487000 (1 GB) 2022-04-12 23:23:19 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 488000 (1 GB) 2022-04-12 23:23:19 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 489000 (1 GB) 2022-04-12 23:23:19 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 490000 (1 GB) 2022-04-12 23:23:20 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 491000 (1 GB) 2022-04-12 23:23:20 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 492000 (1 GB) 2022-04-12 23:23:20 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 493000 (1 GB) 2022-04-12 23:23:21 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 494000 (1 GB) 2022-04-12 23:23:21 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 495000 (1 GB) 2022-04-12 23:23:21 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 496000 (1 GB) 2022-04-12 23:23:22 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 497000 (1 GB) 2022-04-12 23:23:22 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 498000 (1 GB) 2022-04-12 23:23:22 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 499000 (1 GB) 2022-04-12 23:23:23 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 500000 (1 GB) 2022-04-12 23:23:23 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 501000 (1 GB) 2022-04-12 23:23:24 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 502000 (1 GB) 2022-04-12 23:23:24 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 503000 (1 GB) 2022-04-12 23:23:24 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 504000 (1 GB) 2022-04-12 23:23:25 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 505000 (1 GB) 2022-04-12 23:23:25 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 506000 (1 GB) 2022-04-12 23:23:25 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 507000 (1 GB) 2022-04-12 23:23:25 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 508000 (1 GB) 2022-04-12 23:23:26 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 509000 (1 GB) 2022-04-12 23:23:26 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 510000 (1 GB) 2022-04-12 23:23:26 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 511000 (1 GB) 2022-04-12 23:23:26 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 512000 (1 GB) 2022-04-12 23:23:27 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 513000 (1 GB) 2022-04-12 23:23:27 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 514000 (1 GB) 2022-04-12 23:23:27 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 515000 (1 GB) 2022-04-12 23:23:28 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 516000 (1 GB) 2022-04-12 23:23:28 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 517000 (1 GB) 2022-04-12 23:23:28 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 518000 (1 GB) 2022-04-12 23:23:29 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 519000 (1 GB) 2022-04-12 23:23:29 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 520000 (1 GB) 2022-04-12 23:23:29 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 521000 (1 GB) 2022-04-12 23:23:30 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 522000 (1 GB) 2022-04-12 23:23:30 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 523000 (1 GB) 2022-04-12 23:23:30 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 524000 (1 GB) 2022-04-12 23:23:31 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 525000 (1 GB) 2022-04-12 23:23:31 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 526000 (1 GB) 2022-04-12 23:23:31 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 527000 (1 GB) 2022-04-12 23:23:31 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 528000 (1 GB) 2022-04-12 23:23:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 529000 (1 GB) 2022-04-12 23:23:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 530000 (1 GB) 2022-04-12 23:23:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 531000 (1 GB) 2022-04-12 23:23:33 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 532000 (1 GB) 2022-04-12 23:23:33 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 533000 (1 GB) 2022-04-12 23:23:33 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 534000 (1 GB) 2022-04-12 23:23:34 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 535000 (1 GB) 2022-04-12 23:23:34 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 536000 (1 GB) 2022-04-12 23:23:34 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 537000 (1 GB) 2022-04-12 23:23:34 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 538000 (1 GB) 2022-04-12 23:23:35 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 539000 (1 GB) 2022-04-12 23:23:35 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 540000 (1 GB) 2022-04-12 23:23:35 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 541000 (1 GB) 2022-04-12 23:23:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 542000 (1 GB) 2022-04-12 23:23:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 543000 (1 GB) 2022-04-12 23:23:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 544000 (1 GB) 2022-04-12 23:23:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 545000 (1 GB) 2022-04-12 23:23:37 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 546000 (1 GB) 2022-04-12 23:23:37 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 547000 (1 GB) 2022-04-12 23:23:37 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 548000 (1 GB) 2022-04-12 23:23:37 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 549000 (1 GB) 2022-04-12 23:23:38 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 550000 (1 GB) 2022-04-12 23:23:38 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 551000 (1 GB) 2022-04-12 23:23:38 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 552000 (1 GB) 2022-04-12 23:23:38 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 553000 (1 GB) 2022-04-12 23:23:39 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 554000 (1 GB) 2022-04-12 23:23:39 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 555000 (1 GB) 2022-04-12 23:23:40 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 556000 (1 GB) 2022-04-12 23:23:40 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 557000 (1 GB) 2022-04-12 23:23:40 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 558000 (1 GB) 2022-04-12 23:23:40 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 559000 (1 GB) 2022-04-12 23:23:40 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 560000 (1 GB) 2022-04-12 23:23:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 561000 (1 GB) 2022-04-12 23:23:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 562000 (1 GB) 2022-04-12 23:23:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 563000 (1 GB) 2022-04-12 23:23:42 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 564000 (1 GB) 2022-04-12 23:23:42 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 565000 (1 GB) 2022-04-12 23:23:43 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 566000 (1 GB) 2022-04-12 23:23:43 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 567000 (1 GB) 2022-04-12 23:23:43 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 568000 (1 GB) 2022-04-12 23:23:44 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 569000 (1 GB) 2022-04-12 23:23:44 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 570000 (1 GB) 2022-04-12 23:23:44 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 571000 (1 GB) 2022-04-12 23:23:45 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 572000 (1 GB) 2022-04-12 23:23:45 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 573000 (1 GB) 2022-04-12 23:23:45 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 574000 (1 GB) 2022-04-12 23:23:45 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 575000 (1 GB) 2022-04-12 23:23:46 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 576000 (1 GB) 2022-04-12 23:23:46 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 577000 (1 GB) 2022-04-12 23:23:46 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 578000 (1 GB) 2022-04-12 23:23:47 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 579000 (1 GB) 2022-04-12 23:23:47 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 580000 (1 GB) 2022-04-12 23:23:47 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 581000 (1 GB) 2022-04-12 23:23:48 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 582000 (1 GB) 2022-04-12 23:23:48 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 583000 (1 GB) 2022-04-12 23:23:48 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 584000 (1 GB) 2022-04-12 23:23:48 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 585000 (1 GB) 2022-04-12 23:23:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 586000 (1 GB) 2022-04-12 23:23:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 587000 (1 GB) 2022-04-12 23:23:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 588000 (1 GB) 2022-04-12 23:23:50 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 589000 (1 GB) 2022-04-12 23:23:50 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 590000 (1 GB) 2022-04-12 23:23:50 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 591000 (1 GB) 2022-04-12 23:23:50 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 592000 (1 GB) 2022-04-12 23:23:51 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 593000 (1 GB) 2022-04-12 23:23:51 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 594000 (1 GB) 2022-04-12 23:23:51 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 595000 (1 GB) 2022-04-12 23:23:52 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 596000 (1 GB) 2022-04-12 23:23:52 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 597000 (1 GB) 2022-04-12 23:23:53 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 598000 (1 GB) 2022-04-12 23:23:53 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 599000 (1 GB) 2022-04-12 23:23:53 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 600000 (1 GB) 2022-04-12 23:23:53 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 601000 (1 GB) 2022-04-12 23:23:54 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 602000 (1 GB) 2022-04-12 23:23:54 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 603000 (1 GB) 2022-04-12 23:23:54 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 604000 (1 GB) 2022-04-12 23:23:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 605000 (1 GB) 2022-04-12 23:23:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 606000 (1 GB) 2022-04-12 23:23:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 607000 (1 GB) 2022-04-12 23:23:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 608000 (1 GB) 2022-04-12 23:23:56 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 609000 (1 GB) 2022-04-12 23:23:56 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 610000 (1 GB) 2022-04-12 23:23:56 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 611000 (1 GB) 2022-04-12 23:23:57 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 612000 (1 GB) 2022-04-12 23:23:57 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 613000 (1 GB) 2022-04-12 23:23:57 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 614000 (1 GB) 2022-04-12 23:23:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 615000 (1 GB) 2022-04-12 23:23:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 616000 (1 GB) 2022-04-12 23:23:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 617000 (1 GB) 2022-04-12 23:23:59 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 618000 (1 GB) 2022-04-12 23:23:59 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 619000 (1 GB) 2022-04-12 23:24:00 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 620000 (1 GB) 2022-04-12 23:24:00 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 621000 (1 GB) 2022-04-12 23:24:00 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 622000 (1 GB) 2022-04-12 23:24:01 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 623000 (1 GB) 2022-04-12 23:24:01 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 624000 (1 GB) 2022-04-12 23:24:01 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 625000 (1 GB) 2022-04-12 23:24:02 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 626000 (1 GB) 2022-04-12 23:24:02 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 627000 (1 GB) 2022-04-12 23:24:03 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 628000 (1 GB) 2022-04-12 23:24:03 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 629000 (1 GB) 2022-04-12 23:24:03 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 630000 (1 GB) 2022-04-12 23:24:03 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 631000 (1 GB) 2022-04-12 23:24:04 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 632000 (1 GB) 2022-04-12 23:24:04 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 633000 (1 GB) 2022-04-12 23:24:05 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 634000 (1 GB) 2022-04-12 23:24:05 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 635000 (1 GB) 2022-04-12 23:24:05 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 636000 (1 GB) 2022-04-12 23:24:06 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 637000 (1 GB) 2022-04-12 23:24:06 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 638000 (1 GB) 2022-04-12 23:24:07 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 639000 (1 GB) 2022-04-12 23:24:07 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 640000 (1 GB) 2022-04-12 23:24:07 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 641000 (1 GB) 2022-04-12 23:24:08 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 642000 (1 GB) 2022-04-12 23:24:08 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 643000 (1 GB) 2022-04-12 23:24:08 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 644000 (1 GB) 2022-04-12 23:24:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 645000 (1 GB) 2022-04-12 23:24:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 646000 (1 GB) 2022-04-12 23:24:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 647000 (1 GB) 2022-04-12 23:24:10 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 648000 (1 GB) 2022-04-12 23:24:10 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 649000 (1 GB) 2022-04-12 23:24:10 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 650000 (1 GB) 2022-04-12 23:24:11 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 651000 (1 GB) 2022-04-12 23:24:11 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 652000 (1 GB) 2022-04-12 23:24:11 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 653000 (1 GB) 2022-04-12 23:24:12 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 654000 (1 GB) 2022-04-12 23:24:12 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 655000 (1 GB) 2022-04-12 23:24:13 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 656000 (1 GB) 2022-04-12 23:24:13 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 657000 (1 GB) 2022-04-12 23:24:13 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 658000 (1 GB) 2022-04-12 23:24:14 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 659000 (1 GB) 2022-04-12 23:24:14 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 660000 (1 GB) 2022-04-12 23:24:14 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 661000 (1 GB) 2022-04-12 23:24:15 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 662000 (1 GB) 2022-04-12 23:24:15 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 663000 (1 GB) 2022-04-12 23:24:15 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 664000 (1 GB) 2022-04-12 23:24:16 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 665000 (1 GB) 2022-04-12 23:24:16 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 666000 (1 GB) 2022-04-12 23:24:17 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 667000 (1 GB) 2022-04-12 23:24:17 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 668000 (1 GB) 2022-04-12 23:24:18 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 669000 (1 GB) 2022-04-12 23:24:18 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 670000 (1 GB) 2022-04-12 23:24:18 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 671000 (1 GB) 2022-04-12 23:24:19 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 672000 (1 GB) 2022-04-12 23:24:19 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 673000 (1 GB) 2022-04-12 23:24:20 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 674000 (1 GB) 2022-04-12 23:24:20 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 675000 (1 GB) 2022-04-12 23:24:20 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 676000 (1 GB) 2022-04-12 23:24:21 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 677000 (1 GB) 2022-04-12 23:24:21 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 678000 (1 GB) 2022-04-12 23:24:21 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 679000 (1 GB) 2022-04-12 23:24:22 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 680000 (1 GB) 2022-04-12 23:24:22 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 681000 (1 GB) 2022-04-12 23:24:22 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 682000 (1 GB) 2022-04-12 23:24:23 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 683000 (1 GB) 2022-04-12 23:24:23 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 684000 (1 GB) 2022-04-12 23:24:24 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 685000 (1 GB) 2022-04-12 23:24:24 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 686000 (1 GB) 2022-04-12 23:24:24 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 687000 (1 GB) 2022-04-12 23:24:24 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 688000 (1 GB) 2022-04-12 23:24:25 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 689000 (1 GB) 2022-04-12 23:24:25 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 690000 (1 GB) 2022-04-12 23:24:25 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 691000 (1 GB) 2022-04-12 23:24:26 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 692000 (1 GB) 2022-04-12 23:24:26 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 693000 (1 GB) 2022-04-12 23:24:26 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 694000 (1 GB) 2022-04-12 23:24:27 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 695000 (1 GB) 2022-04-12 23:24:27 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 696000 (1 GB) 2022-04-12 23:24:27 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 697000 (1 GB) 2022-04-12 23:24:27 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 698000 (1 GB) 2022-04-12 23:24:28 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 699000 (1 GB) 2022-04-12 23:24:28 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 700000 (1 GB) 2022-04-12 23:24:29 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 701000 (1 GB) 2022-04-12 23:24:29 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 702000 (1 GB) 2022-04-12 23:24:29 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 703000 (1 GB) 2022-04-12 23:24:29 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 704000 (1 GB) 2022-04-12 23:24:30 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 705000 (1 GB) 2022-04-12 23:24:30 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 706000 (1 GB) 2022-04-12 23:24:30 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 707000 (1 GB) 2022-04-12 23:24:30 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 708000 (1 GB) 2022-04-12 23:24:31 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 709000 (1 GB) 2022-04-12 23:24:31 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 710000 (1 GB) 2022-04-12 23:24:31 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 711000 (1 GB) 2022-04-12 23:24:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 712000 (1 GB) 2022-04-12 23:24:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 713000 (1 GB) 2022-04-12 23:24:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 714000 (1 GB) 2022-04-12 23:24:33 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 715000 (1 GB) 2022-04-12 23:24:33 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 716000 (1 GB) 2022-04-12 23:24:33 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 717000 (1 GB) 2022-04-12 23:24:34 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 718000 (1 GB) 2022-04-12 23:24:34 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 719000 (1 GB) 2022-04-12 23:24:34 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 720000 (1 GB) 2022-04-12 23:24:35 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 721000 (1 GB) 2022-04-12 23:24:35 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 722000 (1 GB) 2022-04-12 23:24:35 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 723000 (1 GB) 2022-04-12 23:24:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 724000 (1 GB) 2022-04-12 23:24:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 725000 (1 GB) 2022-04-12 23:24:37 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 726000 (1 GB) 2022-04-12 23:24:37 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 727000 (1 GB) 2022-04-12 23:24:37 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 728000 (1 GB) 2022-04-12 23:24:38 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 729000 (1 GB) 2022-04-12 23:24:38 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 730000 (1 GB) 2022-04-12 23:24:39 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 731000 (1 GB) 2022-04-12 23:24:39 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 732000 (1 GB) 2022-04-12 23:24:39 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 733000 (1 GB) 2022-04-12 23:24:40 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 734000 (1 GB) 2022-04-12 23:24:40 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 735000 (1 GB) 2022-04-12 23:24:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 736000 (1 GB) 2022-04-12 23:24:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 737000 (1 GB) 2022-04-12 23:24:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 738000 (1 GB) 2022-04-12 23:24:42 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 739000 (1 GB) 2022-04-12 23:24:42 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 740000 (1 GB) 2022-04-12 23:24:43 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 741000 (1 GB) 2022-04-12 23:24:43 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 742000 (1 GB) 2022-04-12 23:24:43 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 743000 (1 GB) 2022-04-12 23:24:44 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 744000 (1 GB) 2022-04-12 23:24:44 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 745000 (1 GB) 2022-04-12 23:24:44 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 746000 (1 GB) 2022-04-12 23:24:45 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 747000 (1 GB) 2022-04-12 23:24:45 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 748000 (1 GB) 2022-04-12 23:24:45 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 749000 (1 GB) 2022-04-12 23:24:46 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 750000 (1 GB) 2022-04-12 23:24:46 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 751000 (1 GB) 2022-04-12 23:24:46 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 752000 (1 GB) 2022-04-12 23:24:47 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 753000 (1 GB) 2022-04-12 23:24:47 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 754000 (1 GB) 2022-04-12 23:24:48 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 755000 (1 GB) 2022-04-12 23:24:48 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 756000 (1 GB) 2022-04-12 23:24:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 757000 (1 GB) 2022-04-12 23:24:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 758000 (1 GB) 2022-04-12 23:24:50 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 759000 (1 GB) 2022-04-12 23:24:50 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 760000 (1 GB) 2022-04-12 23:24:51 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 761000 (1 GB) 2022-04-12 23:24:51 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 762000 (1 GB) 2022-04-12 23:24:52 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 763000 (1 GB) 2022-04-12 23:24:52 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 764000 (1 GB) 2022-04-12 23:24:52 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 765000 (1 GB) 2022-04-12 23:24:52 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 766000 (1 GB) 2022-04-12 23:24:53 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 767000 (1 GB) 2022-04-12 23:24:53 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 768000 (1 GB) 2022-04-12 23:24:54 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 769000 (1 GB) 2022-04-12 23:24:54 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 770000 (1 GB) 2022-04-12 23:24:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 771000 (1 GB) 2022-04-12 23:24:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 772000 (1 GB) 2022-04-12 23:24:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 773000 (1 GB) 2022-04-12 23:24:56 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 774000 (1 GB) 2022-04-12 23:24:56 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 775000 (1 GB) 2022-04-12 23:24:56 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 776000 (1 GB) 2022-04-12 23:24:57 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 777000 (1 GB) 2022-04-12 23:24:57 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 778000 (1 GB) 2022-04-12 23:24:57 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 779000 (1 GB) 2022-04-12 23:24:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 780000 (1 GB) 2022-04-12 23:24:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 781000 (1 GB) 2022-04-12 23:24:59 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 782000 (1 GB) 2022-04-12 23:24:59 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 783000 (1 GB) 2022-04-12 23:24:59 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 784000 (1 GB) 2022-04-12 23:24:59 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 785000 (1 GB) 2022-04-12 23:25:00 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 786000 (1 GB) 2022-04-12 23:25:00 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 787000 (1 GB) 2022-04-12 23:25:01 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 788000 (1 GB) 2022-04-12 23:25:01 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 789000 (1 GB) 2022-04-12 23:25:01 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 790000 (1 GB) 2022-04-12 23:25:02 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 791000 (1 GB) 2022-04-12 23:25:02 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 792000 (1 GB) 2022-04-12 23:25:02 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 793000 (1 GB) 2022-04-12 23:25:03 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 794000 (1 GB) 2022-04-12 23:25:03 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 795000 (1 GB) 2022-04-12 23:25:04 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 796000 (1 GB) 2022-04-12 23:25:04 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 797000 (1 GB) 2022-04-12 23:25:04 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 798000 (1 GB) 2022-04-12 23:25:05 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 799000 (1 GB) 2022-04-12 23:25:05 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 800000 (1 GB) 2022-04-12 23:25:05 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 801000 (1 GB) 2022-04-12 23:25:05 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 802000 (1 GB) 2022-04-12 23:25:06 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 803000 (1 GB) 2022-04-12 23:25:06 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 804000 (1 GB) 2022-04-12 23:25:07 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 805000 (1 GB) 2022-04-12 23:25:07 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 806000 (1 GB) 2022-04-12 23:25:07 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 807000 (1 GB) 2022-04-12 23:25:08 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 808000 (1 GB) 2022-04-12 23:25:08 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 809000 (1 GB) 2022-04-12 23:25:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 810000 (1 GB) 2022-04-12 23:25:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 811000 (1 GB) 2022-04-12 23:25:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 812000 (1 GB) 2022-04-12 23:25:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 813000 (1 GB) 2022-04-12 23:25:10 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 814000 (1 GB) 2022-04-12 23:25:10 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 815000 (1 GB) 2022-04-12 23:25:10 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 816000 (1 GB) 2022-04-12 23:25:11 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 817000 (1 GB) 2022-04-12 23:25:11 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 818000 (1 GB) 2022-04-12 23:25:11 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 819000 (1 GB) 2022-04-12 23:25:12 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 820000 (1 GB) 2022-04-12 23:25:12 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 821000 (1 GB) 2022-04-12 23:25:12 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 822000 (1 GB) 2022-04-12 23:25:12 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 823000 (1 GB) 2022-04-12 23:25:13 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 824000 (1 GB) 2022-04-12 23:25:13 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 825000 (1 GB) 2022-04-12 23:25:13 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 826000 (1 GB) 2022-04-12 23:25:14 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 827000 (1 GB) 2022-04-12 23:25:14 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 828000 (1 GB) 2022-04-12 23:25:14 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 829000 (1 GB) 2022-04-12 23:25:15 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 830000 (1 GB) 2022-04-12 23:25:15 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 831000 (1 GB) 2022-04-12 23:25:16 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 832000 (1 GB) 2022-04-12 23:25:16 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 833000 (1 GB) 2022-04-12 23:25:16 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 834000 (1 GB) 2022-04-12 23:25:16 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 835000 (1 GB) 2022-04-12 23:25:17 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 836000 (1 GB) 2022-04-12 23:25:17 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 837000 (1 GB) 2022-04-12 23:25:18 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 838000 (1 GB) 2022-04-12 23:25:18 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 839000 (1 GB) 2022-04-12 23:25:18 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 840000 (1 GB) 2022-04-12 23:25:18 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 841000 (1 GB) 2022-04-12 23:25:19 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 842000 (1 GB) 2022-04-12 23:25:19 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 843000 (1 GB) 2022-04-12 23:25:20 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 844000 (1 GB) 2022-04-12 23:25:20 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 845000 (1 GB) 2022-04-12 23:25:20 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 846000 (1 GB) 2022-04-12 23:25:20 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 847000 (1 GB) 2022-04-12 23:25:21 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 848000 (1 GB) 2022-04-12 23:25:21 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 849000 (1 GB) 2022-04-12 23:25:22 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 850000 (1 GB) 2022-04-12 23:25:22 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 851000 (1 GB) 2022-04-12 23:25:22 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 852000 (1 GB) 2022-04-12 23:25:23 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 853000 (1 GB) 2022-04-12 23:25:23 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 854000 (1 GB) 2022-04-12 23:25:23 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 855000 (1 GB) 2022-04-12 23:25:23 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 856000 (1 GB) 2022-04-12 23:25:24 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 857000 (1 GB) 2022-04-12 23:25:24 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 858000 (1 GB) 2022-04-12 23:25:24 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 859000 (1 GB) 2022-04-12 23:25:25 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 860000 (1 GB) 2022-04-12 23:25:25 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 861000 (1 GB) 2022-04-12 23:25:25 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 862000 (1 GB) 2022-04-12 23:25:25 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 863000 (1 GB) 2022-04-12 23:25:26 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 864000 (1 GB) 2022-04-12 23:25:26 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 865000 (1 GB) 2022-04-12 23:25:26 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 866000 (1 GB) 2022-04-12 23:25:27 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 867000 (1 GB) 2022-04-12 23:25:27 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 868000 (1 GB) 2022-04-12 23:25:27 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 869000 (1 GB) 2022-04-12 23:25:27 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 870000 (1 GB) 2022-04-12 23:25:28 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 871000 (1 GB) 2022-04-12 23:25:28 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 872000 (1 GB) 2022-04-12 23:25:28 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 873000 (1 GB) 2022-04-12 23:25:29 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 874000 (1 GB) 2022-04-12 23:25:29 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 875000 (1 GB) 2022-04-12 23:25:29 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 876000 (1 GB) 2022-04-12 23:25:30 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 877000 (1 GB) 2022-04-12 23:25:30 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 878000 (1 GB) 2022-04-12 23:25:30 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 879000 (1 GB) 2022-04-12 23:25:30 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 880000 (1 GB) 2022-04-12 23:25:31 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 881000 (1 GB) 2022-04-12 23:25:31 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 882000 (1 GB) 2022-04-12 23:25:31 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 883000 (1 GB) 2022-04-12 23:25:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 884000 (1 GB) 2022-04-12 23:25:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 885000 (1 GB) 2022-04-12 23:25:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 886000 (1 GB) 2022-04-12 23:25:33 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 887000 (1 GB) 2022-04-12 23:25:33 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 888000 (1 GB) 2022-04-12 23:25:33 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 889000 (1 GB) 2022-04-12 23:25:34 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 890000 (1 GB) 2022-04-12 23:25:34 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 891000 (1 GB) 2022-04-12 23:25:34 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 892000 (1 GB) 2022-04-12 23:25:34 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 893000 (1 GB) 2022-04-12 23:25:35 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 894000 (1 GB) 2022-04-12 23:25:35 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 895000 (1 GB) 2022-04-12 23:25:35 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 896000 (1 GB) 2022-04-12 23:25:35 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 897000 (1 GB) 2022-04-12 23:25:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 898000 (1 GB) 2022-04-12 23:25:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 899000 (1 GB) 2022-04-12 23:25:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 900000 (1 GB) 2022-04-12 23:25:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 901000 (1 GB) 2022-04-12 23:25:37 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 902000 (1 GB) 2022-04-12 23:25:37 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 903000 (1 GB) 2022-04-12 23:25:37 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 904000 (1 GB) 2022-04-12 23:25:38 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 905000 (1 GB) 2022-04-12 23:25:38 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 906000 (1 GB) 2022-04-12 23:25:38 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 907000 (1 GB) 2022-04-12 23:25:38 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 908000 (1 GB) 2022-04-12 23:25:39 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 909000 (1 GB) 2022-04-12 23:25:39 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 910000 (1 GB) 2022-04-12 23:25:39 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 911000 (1 GB) 2022-04-12 23:25:39 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 912000 (1 GB) 2022-04-12 23:25:40 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 913000 (1 GB) 2022-04-12 23:25:40 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 914000 (1 GB) 2022-04-12 23:25:40 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 915000 (1 GB) 2022-04-12 23:25:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 916000 (1 GB) 2022-04-12 23:25:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 917000 (1 GB) 2022-04-12 23:25:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 918000 (1 GB) 2022-04-12 23:25:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 919000 (1 GB) 2022-04-12 23:25:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 920000 (1 GB) 2022-04-12 23:25:42 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 921000 (1 GB) 2022-04-12 23:25:42 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 922000 (1 GB) 2022-04-12 23:25:43 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 923000 (1 GB) 2022-04-12 23:25:43 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 924000 (1 GB) 2022-04-12 23:25:43 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 925000 (1 GB) 2022-04-12 23:25:43 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 926000 (1 GB) 2022-04-12 23:25:44 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 927000 (1 GB) 2022-04-12 23:25:44 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 928000 (1 GB) 2022-04-12 23:25:44 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 929000 (1 GB) 2022-04-12 23:25:45 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 930000 (1 GB) 2022-04-12 23:25:45 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 931000 (1 GB) 2022-04-12 23:25:45 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 932000 (1 GB) 2022-04-12 23:25:46 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 933000 (1 GB) 2022-04-12 23:25:46 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 934000 (1 GB) 2022-04-12 23:25:46 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 935000 (1 GB) 2022-04-12 23:25:46 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 936000 (1 GB) 2022-04-12 23:25:47 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 937000 (1 GB) 2022-04-12 23:25:47 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 938000 (1 GB) 2022-04-12 23:25:47 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 939000 (1 GB) 2022-04-12 23:25:48 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 940000 (1 GB) 2022-04-12 23:25:48 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 941000 (1 GB) 2022-04-12 23:25:48 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 942000 (1 GB) 2022-04-12 23:25:48 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 943000 (1 GB) 2022-04-12 23:25:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 944000 (1 GB) 2022-04-12 23:25:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 945000 (1 GB) 2022-04-12 23:25:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 946000 (1 GB) 2022-04-12 23:25:50 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 947000 (1 GB) 2022-04-12 23:25:50 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 948000 (1 GB) 2022-04-12 23:25:50 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 949000 (1 GB) 2022-04-12 23:25:50 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 950000 (1 GB) 2022-04-12 23:25:51 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 951000 (1 GB) 2022-04-12 23:25:51 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 952000 (1 GB) 2022-04-12 23:25:51 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 953000 (1 GB) 2022-04-12 23:25:52 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 954000 (1 GB) 2022-04-12 23:25:52 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 955000 (1 GB) 2022-04-12 23:25:52 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 956000 (1 GB) 2022-04-12 23:25:53 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 957000 (1 GB) 2022-04-12 23:25:53 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 958000 (1 GB) 2022-04-12 23:25:53 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 959000 (1 GB) 2022-04-12 23:25:53 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 960000 (1 GB) 2022-04-12 23:25:53 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 961000 (1 GB) 2022-04-12 23:25:54 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 962000 (1 GB) 2022-04-12 23:25:54 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 963000 (1 GB) 2022-04-12 23:25:54 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 964000 (1 GB) 2022-04-12 23:25:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 965000 (1 GB) 2022-04-12 23:25:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 966000 (1 GB) 2022-04-12 23:25:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 967000 (1 GB) 2022-04-12 23:25:56 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 968000 (1 GB) 2022-04-12 23:25:56 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 969000 (1 GB) 2022-04-12 23:25:56 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 970000 (1 GB) 2022-04-12 23:25:56 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 971000 (1 GB) 2022-04-12 23:25:57 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 972000 (1 GB) 2022-04-12 23:25:57 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 973000 (1 GB) 2022-04-12 23:25:57 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 974000 (1 GB) 2022-04-12 23:25:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 975000 (1 GB) 2022-04-12 23:25:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 976000 (1 GB) 2022-04-12 23:25:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 977000 (1 GB) 2022-04-12 23:25:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 978000 (1 GB) 2022-04-12 23:25:59 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 979000 (1 GB) 2022-04-12 23:25:59 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 980000 (1 GB) 2022-04-12 23:25:59 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 981000 (1 GB) 2022-04-12 23:26:00 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 982000 (1 GB) 2022-04-12 23:26:00 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 983000 (1 GB) 2022-04-12 23:26:00 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 984000 (1 GB) 2022-04-12 23:26:00 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 985000 (1 GB) 2022-04-12 23:26:00 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 986000 (1 GB) 2022-04-12 23:26:01 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 987000 (1 GB) 2022-04-12 23:26:01 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 988000 (1 GB) 2022-04-12 23:26:02 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 989000 (1 GB) 2022-04-12 23:26:02 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 990000 (1 GB) 2022-04-12 23:26:02 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 991000 (1 GB) 2022-04-12 23:26:03 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 992000 (1 GB) 2022-04-12 23:26:03 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 993000 (1 GB) 2022-04-12 23:26:03 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 994000 (1 GB) 2022-04-12 23:26:03 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 995000 (1 GB) 2022-04-12 23:26:04 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 996000 (1 GB) 2022-04-12 23:26:04 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 997000 (1 GB) 2022-04-12 23:26:04 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 998000 (1 GB) 2022-04-12 23:26:05 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 999000 (1 GB) 2022-04-12 23:26:05 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1000000 (1 GB) 2022-04-12 23:26:05 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1001000 (1 GB) 2022-04-12 23:26:05 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1002000 (1 GB) 2022-04-12 23:26:06 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1003000 (1 GB) 2022-04-12 23:26:06 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1004000 (1 GB) 2022-04-12 23:26:06 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1005000 (1 GB) 2022-04-12 23:26:06 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1006000 (1 GB) 2022-04-12 23:26:07 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1007000 (1 GB) 2022-04-12 23:26:07 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1008000 (1 GB) 2022-04-12 23:26:07 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1009000 (1 GB) 2022-04-12 23:26:08 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1010000 (1 GB) 2022-04-12 23:26:08 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1011000 (1 GB) 2022-04-12 23:26:08 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1012000 (1 GB) 2022-04-12 23:26:08 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1013000 (1 GB) 2022-04-12 23:26:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1014000 (1 GB) 2022-04-12 23:26:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1015000 (1 GB) 2022-04-12 23:26:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1016000 (1 GB) 2022-04-12 23:26:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1017000 (1 GB) 2022-04-12 23:26:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1018000 (1 GB) 2022-04-12 23:26:10 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1019000 (1 GB) 2022-04-12 23:26:10 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1020000 (1 GB) 2022-04-12 23:26:10 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1021000 (1 GB) 2022-04-12 23:26:11 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1022000 (1 GB) 2022-04-12 23:26:11 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1023000 (1 GB) 2022-04-12 23:26:11 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1024000 (1 GB) 2022-04-12 23:26:12 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1025000 (1 GB) 2022-04-12 23:26:12 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1026000 (1 GB) 2022-04-12 23:26:12 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1027000 (1 GB) 2022-04-12 23:26:12 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1028000 (1 GB) 2022-04-12 23:26:13 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1029000 (1 GB) 2022-04-12 23:26:13 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1030000 (1 GB) 2022-04-12 23:26:13 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1031000 (1 GB) 2022-04-12 23:26:14 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1032000 (1 GB) 2022-04-12 23:26:14 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1033000 (1 GB) 2022-04-12 23:26:14 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1034000 (1 GB) 2022-04-12 23:26:14 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1035000 (1 GB) 2022-04-12 23:26:15 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1036000 (1 GB) 2022-04-12 23:26:15 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1037000 (1 GB) 2022-04-12 23:26:15 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1038000 (1 GB) 2022-04-12 23:26:16 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1039000 (1 GB) 2022-04-12 23:26:16 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1040000 (1 GB) 2022-04-12 23:26:16 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1041000 (1 GB) 2022-04-12 23:26:16 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1042000 (1 GB) 2022-04-12 23:26:17 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1043000 (1 GB) 2022-04-12 23:26:17 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1044000 (1 GB) 2022-04-12 23:26:17 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1045000 (1 GB) 2022-04-12 23:26:18 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1046000 (1 GB) 2022-04-12 23:26:18 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1047000 (1 GB) 2022-04-12 23:26:18 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1048000 (1 GB) 2022-04-12 23:26:18 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1049000 (1 GB) 2022-04-12 23:26:19 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1050000 (1 GB) 2022-04-12 23:26:19 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1051000 (1 GB) 2022-04-12 23:26:20 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1052000 (1 GB) 2022-04-12 23:26:20 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1053000 (1 GB) 2022-04-12 23:26:20 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1054000 (1 GB) 2022-04-12 23:26:21 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1055000 (1 GB) 2022-04-12 23:26:21 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1056000 (1 GB) 2022-04-12 23:26:21 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1057000 (1 GB) 2022-04-12 23:26:21 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1058000 (1 GB) 2022-04-12 23:26:22 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1059000 (1 GB) 2022-04-12 23:26:22 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1060000 (1 GB) 2022-04-12 23:26:22 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1061000 (1 GB) 2022-04-12 23:26:23 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1062000 (1 GB) 2022-04-12 23:26:23 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1063000 (1 GB) 2022-04-12 23:26:23 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1064000 (1 GB) 2022-04-12 23:26:24 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1065000 (1 GB) 2022-04-12 23:26:24 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1066000 (1 GB) 2022-04-12 23:26:24 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1067000 (1 GB) 2022-04-12 23:26:25 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1068000 (1 GB) 2022-04-12 23:26:25 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1069000 (1 GB) 2022-04-12 23:26:25 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1070000 (1 GB) 2022-04-12 23:26:26 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1071000 (1 GB) 2022-04-12 23:26:26 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1072000 (1 GB) 2022-04-12 23:26:26 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1073000 (1 GB) 2022-04-12 23:26:27 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1074000 (1 GB) 2022-04-12 23:26:27 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1075000 (1 GB) 2022-04-12 23:26:27 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1076000 (1 GB) 2022-04-12 23:26:27 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1077000 (1 GB) 2022-04-12 23:26:28 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1078000 (1 GB) 2022-04-12 23:26:28 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1079000 (1 GB) 2022-04-12 23:26:28 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1080000 (1 GB) 2022-04-12 23:26:29 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1081000 (1 GB) 2022-04-12 23:26:29 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1082000 (1 GB) 2022-04-12 23:26:29 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1083000 (1 GB) 2022-04-12 23:26:29 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1084000 (1 GB) 2022-04-12 23:26:29 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1085000 (1 GB) 2022-04-12 23:26:30 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1086000 (1 GB) 2022-04-12 23:26:30 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1087000 (1 GB) 2022-04-12 23:26:31 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1088000 (1 GB) 2022-04-12 23:26:31 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1089000 (1 GB) 2022-04-12 23:26:31 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1090000 (1 GB) 2022-04-12 23:26:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1091000 (1 GB) 2022-04-12 23:26:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1092000 (1 GB) 2022-04-12 23:26:33 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1093000 (1 GB) 2022-04-12 23:26:33 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1094000 (1 GB) 2022-04-12 23:26:33 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1095000 (1 GB) 2022-04-12 23:26:33 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1096000 (1 GB) 2022-04-12 23:26:34 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1097000 (1 GB) 2022-04-12 23:26:34 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1098000 (1 GB) 2022-04-12 23:26:35 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1099000 (1 GB) 2022-04-12 23:26:35 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1100000 (1 GB) 2022-04-12 23:26:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1101000 (1 GB) 2022-04-12 23:26:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1102000 (1 GB) 2022-04-12 23:26:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1103000 (1 GB) 2022-04-12 23:26:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1104000 (1 GB) 2022-04-12 23:26:37 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1105000 (1 GB) 2022-04-12 23:26:37 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1106000 (1 GB) 2022-04-12 23:26:37 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1107000 (1 GB) 2022-04-12 23:26:38 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1108000 (1 GB) 2022-04-12 23:26:38 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1109000 (1 GB) 2022-04-12 23:26:38 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1110000 (1 GB) 2022-04-12 23:26:38 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1111000 (1 GB) 2022-04-12 23:26:39 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1112000 (1 GB) 2022-04-12 23:26:39 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1113000 (1 GB) 2022-04-12 23:26:39 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1114000 (1 GB) 2022-04-12 23:26:40 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1115000 (1 GB) 2022-04-12 23:26:40 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1116000 (1 GB) 2022-04-12 23:26:40 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1117000 (1 GB) 2022-04-12 23:26:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1118000 (1 GB) 2022-04-12 23:26:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1119000 (1 GB) 2022-04-12 23:26:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1120000 (1 GB) 2022-04-12 23:26:42 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1121000 (1 GB) 2022-04-12 23:26:42 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1122000 (1 GB) 2022-04-12 23:26:42 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1123000 (1 GB) 2022-04-12 23:26:42 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1124000 (1 GB) 2022-04-12 23:26:43 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1125000 (1 GB) 2022-04-12 23:26:43 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1126000 (1 GB) 2022-04-12 23:26:43 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1127000 (1 GB) 2022-04-12 23:26:44 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1128000 (1 GB) 2022-04-12 23:26:44 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1129000 (1 GB) 2022-04-12 23:26:44 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1130000 (1 GB) 2022-04-12 23:26:45 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1131000 (1 GB) 2022-04-12 23:26:45 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1132000 (1 GB) 2022-04-12 23:26:45 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1133000 (1 GB) 2022-04-12 23:26:45 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1134000 (1 GB) 2022-04-12 23:26:46 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1135000 (1 GB) 2022-04-12 23:26:46 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1136000 (1 GB) 2022-04-12 23:26:47 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1137000 (1 GB) 2022-04-12 23:26:47 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1138000 (1 GB) 2022-04-12 23:26:47 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1139000 (1 GB) 2022-04-12 23:26:47 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1140000 (1 GB) 2022-04-12 23:26:47 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1141000 (1 GB) 2022-04-12 23:26:48 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1142000 (1 GB) 2022-04-12 23:26:48 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1143000 (1 GB) 2022-04-12 23:26:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1144000 (1 GB) 2022-04-12 23:26:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1145000 (1 GB) 2022-04-12 23:26:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1146000 (1 GB) 2022-04-12 23:26:50 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1147000 (1 GB) 2022-04-12 23:26:50 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1148000 (1 GB) 2022-04-12 23:26:50 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1149000 (1 GB) 2022-04-12 23:26:50 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1150000 (1 GB) 2022-04-12 23:26:51 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1151000 (1 GB) 2022-04-12 23:26:51 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1152000 (1 GB) 2022-04-12 23:26:51 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1153000 (1 GB) 2022-04-12 23:26:52 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1154000 (1 GB) 2022-04-12 23:26:52 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1155000 (1 GB) 2022-04-12 23:26:52 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1156000 (1 GB) 2022-04-12 23:26:52 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1157000 (1 GB) 2022-04-12 23:26:53 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1158000 (1 GB) 2022-04-12 23:26:53 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1159000 (1 GB) 2022-04-12 23:26:53 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1160000 (1 GB) 2022-04-12 23:26:54 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1161000 (1 GB) 2022-04-12 23:26:54 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1162000 (1 GB) 2022-04-12 23:26:54 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1163000 (1 GB) 2022-04-12 23:26:54 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1164000 (1 GB) 2022-04-12 23:26:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1165000 (1 GB) 2022-04-12 23:26:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1166000 (1 GB) 2022-04-12 23:26:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1167000 (1 GB) 2022-04-12 23:26:56 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1168000 (1 GB) 2022-04-12 23:26:56 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1169000 (1 GB) 2022-04-12 23:26:56 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1170000 (1 GB) 2022-04-12 23:26:56 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1171000 (1 GB) 2022-04-12 23:26:57 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1172000 (1 GB) 2022-04-12 23:26:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1173000 (1 GB) 2022-04-12 23:26:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1174000 (1 GB) 2022-04-12 23:26:59 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1175000 (1 GB) 2022-04-12 23:26:59 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1176000 (1 GB) 2022-04-12 23:27:00 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1177000 (1 GB) 2022-04-12 23:27:01 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1178000 (1 GB) 2022-04-12 23:27:01 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1179000 (1 GB) 2022-04-12 23:27:02 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1180000 (1 GB) 2022-04-12 23:27:03 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1181000 (1 GB) 2022-04-12 23:27:03 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1182000 (1 GB) 2022-04-12 23:27:04 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1183000 (1 GB) 2022-04-12 23:27:05 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1184000 (1 GB) 2022-04-12 23:27:05 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1185000 (1 GB) 2022-04-12 23:27:06 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1186000 (1 GB) 2022-04-12 23:27:07 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1187000 (1 GB) 2022-04-12 23:27:07 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1188000 (1 GB) 2022-04-12 23:27:08 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1189000 (1 GB) 2022-04-12 23:27:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1190000 (1 GB) 2022-04-12 23:27:10 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1191000 (1 GB) 2022-04-12 23:27:10 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1192000 (1 GB) 2022-04-12 23:27:11 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1193000 (1 GB) 2022-04-12 23:27:12 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1194000 (1 GB) 2022-04-12 23:27:12 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1195000 (1 GB) 2022-04-12 23:27:13 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1196000 (1 GB) 2022-04-12 23:27:14 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1197000 (1 GB) 2022-04-12 23:27:14 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1198000 (1 GB) 2022-04-12 23:27:15 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1199000 (1 GB) 2022-04-12 23:27:15 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1200000 (1 GB) 2022-04-12 23:27:16 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1201000 (1 GB) 2022-04-12 23:27:17 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1202000 (1 GB) 2022-04-12 23:27:17 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1203000 (1 GB) 2022-04-12 23:27:18 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1204000 (1 GB) 2022-04-12 23:27:19 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1205000 (1 GB) 2022-04-12 23:27:19 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1206000 (1 GB) 2022-04-12 23:27:20 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1207000 (1 GB) 2022-04-12 23:27:21 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1208000 (1 GB) 2022-04-12 23:27:21 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1209000 (1 GB) 2022-04-12 23:27:22 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1210000 (1 GB) 2022-04-12 23:27:23 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1211000 (1 GB) 2022-04-12 23:27:23 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1212000 (1 GB) 2022-04-12 23:27:24 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1213000 (1 GB) 2022-04-12 23:27:25 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1214000 (1 GB) 2022-04-12 23:27:25 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1215000 (1 GB) 2022-04-12 23:27:26 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1216000 (1 GB) 2022-04-12 23:27:26 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1217000 (1 GB) 2022-04-12 23:27:27 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1218000 (1 GB) 2022-04-12 23:27:27 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1219000 (1 GB) 2022-04-12 23:27:27 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1220000 (1 GB) 2022-04-12 23:27:28 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1221000 (1 GB) 2022-04-12 23:27:28 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1222000 (1 GB) 2022-04-12 23:27:28 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1223000 (1 GB) 2022-04-12 23:27:28 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1224000 (1 GB) 2022-04-12 23:27:29 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1225000 (1 GB) 2022-04-12 23:27:29 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1226000 (1 GB) 2022-04-12 23:27:29 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1227000 (1 GB) 2022-04-12 23:27:30 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1228000 (1 GB) 2022-04-12 23:27:30 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1229000 (1 GB) 2022-04-12 23:27:30 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1230000 (1 GB) 2022-04-12 23:27:31 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1231000 (1 GB) 2022-04-12 23:27:31 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1232000 (1 GB) 2022-04-12 23:27:31 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1233000 (1 GB) 2022-04-12 23:27:31 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1234000 (1 GB) 2022-04-12 23:27:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1235000 (1 GB) 2022-04-12 23:27:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1236000 (1 GB) 2022-04-12 23:27:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1237000 (1 GB) 2022-04-12 23:27:33 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1238000 (1 GB) 2022-04-12 23:27:33 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1239000 (1 GB) 2022-04-12 23:27:33 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1240000 (1 GB) 2022-04-12 23:27:34 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1241000 (1 GB) 2022-04-12 23:27:34 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1242000 (1 GB) 2022-04-12 23:27:34 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1243000 (1 GB) 2022-04-12 23:27:34 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1244000 (1 GB) 2022-04-12 23:27:35 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1245000 (1 GB) 2022-04-12 23:27:35 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1246000 (1 GB) 2022-04-12 23:27:35 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1247000 (1 GB) 2022-04-12 23:27:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1248000 (1 GB) 2022-04-12 23:27:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1249000 (1 GB) 2022-04-12 23:27:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1250000 (1 GB) 2022-04-12 23:27:37 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1251000 (1 GB) 2022-04-12 23:27:37 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1252000 (1 GB) 2022-04-12 23:27:37 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1253000 (1 GB) 2022-04-12 23:27:37 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1254000 (1 GB) 2022-04-12 23:27:38 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1255000 (1 GB) 2022-04-12 23:27:38 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1256000 (1 GB) 2022-04-12 23:27:38 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1257000 (1 GB) 2022-04-12 23:27:39 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1258000 (1 GB) 2022-04-12 23:27:39 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1259000 (1 GB) 2022-04-12 23:27:39 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1260000 (1 GB) 2022-04-12 23:27:39 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1261000 (1 GB) 2022-04-12 23:27:40 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1262000 (1 GB) 2022-04-12 23:27:40 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1263000 (1 GB) 2022-04-12 23:27:40 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1264000 (1 GB) 2022-04-12 23:27:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1265000 (1 GB) 2022-04-12 23:27:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1266000 (1 GB) 2022-04-12 23:27:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1267000 (1 GB) 2022-04-12 23:27:42 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1268000 (1 GB) 2022-04-12 23:27:42 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1269000 (1 GB) 2022-04-12 23:27:42 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1270000 (1 GB) 2022-04-12 23:27:43 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1271000 (1 GB) 2022-04-12 23:27:43 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1272000 (1 GB) 2022-04-12 23:27:43 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1273000 (1 GB) 2022-04-12 23:27:43 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1274000 (1 GB) 2022-04-12 23:27:44 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1275000 (1 GB) 2022-04-12 23:27:44 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1276000 (1 GB) 2022-04-12 23:27:44 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1277000 (1 GB) 2022-04-12 23:27:45 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1278000 (1 GB) 2022-04-12 23:27:45 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1279000 (1 GB) 2022-04-12 23:27:45 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1280000 (1 GB) 2022-04-12 23:27:46 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1281000 (1 GB) 2022-04-12 23:27:46 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1282000 (1 GB) 2022-04-12 23:27:46 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1283000 (1 GB) 2022-04-12 23:27:47 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1284000 (1 GB) 2022-04-12 23:27:47 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1285000 (1 GB) 2022-04-12 23:27:47 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1286000 (1 GB) 2022-04-12 23:27:47 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1287000 (1 GB) 2022-04-12 23:27:47 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1288000 (1 GB) 2022-04-12 23:27:48 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1289000 (1 GB) 2022-04-12 23:27:48 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1290000 (1 GB) 2022-04-12 23:27:48 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1291000 (1 GB) 2022-04-12 23:27:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1292000 (1 GB) 2022-04-12 23:27:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1293000 (1 GB) 2022-04-12 23:27:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1294000 (1 GB) 2022-04-12 23:27:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1295000 (1 GB) 2022-04-12 23:27:50 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1296000 (1 GB) 2022-04-12 23:27:50 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1297000 (1 GB) 2022-04-12 23:27:50 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1298000 (1 GB) 2022-04-12 23:27:51 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1299000 (1 GB) 2022-04-12 23:27:51 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1300000 (1 GB) 2022-04-12 23:27:51 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1301000 (1 GB) 2022-04-12 23:27:51 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1302000 (1 GB) 2022-04-12 23:27:52 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1303000 (1 GB) 2022-04-12 23:27:52 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1304000 (1 GB) 2022-04-12 23:27:52 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1305000 (1 GB) 2022-04-12 23:27:53 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1306000 (1 GB) 2022-04-12 23:27:53 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1307000 (1 GB) 2022-04-12 23:27:53 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1308000 (1 GB) 2022-04-12 23:27:53 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1309000 (1 GB) 2022-04-12 23:27:54 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1310000 (1 GB) 2022-04-12 23:27:54 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1311000 (1 GB) 2022-04-12 23:27:54 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1312000 (1 GB) 2022-04-12 23:27:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1313000 (1 GB) 2022-04-12 23:27:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1314000 (1 GB) 2022-04-12 23:27:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1315000 (1 GB) 2022-04-12 23:27:56 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1316000 (1 GB) 2022-04-12 23:27:56 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1317000 (1 GB) 2022-04-12 23:27:56 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1318000 (1 GB) 2022-04-12 23:27:56 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1319000 (1 GB) 2022-04-12 23:27:57 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1320000 (1 GB) 2022-04-12 23:27:57 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1321000 (1 GB) 2022-04-12 23:27:57 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1322000 (1 GB) 2022-04-12 23:27:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1323000 (1 GB) 2022-04-12 23:27:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1324000 (1 GB) 2022-04-12 23:27:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1325000 (1 GB) 2022-04-12 23:27:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1326000 (1 GB) 2022-04-12 23:27:59 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1327000 (1 GB) 2022-04-12 23:27:59 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1328000 (1 GB) 2022-04-12 23:28:00 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1329000 (1 GB) 2022-04-12 23:28:00 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1330000 (1 GB) 2022-04-12 23:28:00 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1331000 (1 GB) 2022-04-12 23:28:00 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1332000 (1 GB) 2022-04-12 23:28:01 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1333000 (1 GB) 2022-04-12 23:28:01 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1334000 (1 GB) 2022-04-12 23:28:01 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1335000 (1 GB) 2022-04-12 23:28:01 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1336000 (1 GB) 2022-04-12 23:28:02 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1337000 (1 GB) 2022-04-12 23:28:02 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1338000 (1 GB) 2022-04-12 23:28:03 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1339000 (1 GB) 2022-04-12 23:28:03 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1340000 (1 GB) 2022-04-12 23:28:03 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1341000 (1 GB) 2022-04-12 23:28:03 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1342000 (1 GB) 2022-04-12 23:28:04 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1343000 (1 GB) 2022-04-12 23:28:04 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1344000 (1 GB) 2022-04-12 23:28:04 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1345000 (1 GB) 2022-04-12 23:28:05 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1346000 (1 GB) 2022-04-12 23:28:05 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1347000 (1 GB) 2022-04-12 23:28:05 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1348000 (1 GB) 2022-04-12 23:28:06 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1349000 (1 GB) 2022-04-12 23:28:06 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1350000 (1 GB) 2022-04-12 23:28:06 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1351000 (1 GB) 2022-04-12 23:28:07 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1352000 (1 GB) 2022-04-12 23:28:07 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1353000 (1 GB) 2022-04-12 23:28:07 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1354000 (1 GB) 2022-04-12 23:28:07 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1355000 (1 GB) 2022-04-12 23:28:08 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1356000 (1 GB) 2022-04-12 23:28:08 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1357000 (1 GB) 2022-04-12 23:28:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1358000 (1 GB) 2022-04-12 23:28:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1359000 (1 GB) 2022-04-12 23:28:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1360000 (1 GB) 2022-04-12 23:28:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1361000 (1 GB) 2022-04-12 23:28:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1362000 (1 GB) 2022-04-12 23:28:10 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1363000 (1 GB) 2022-04-12 23:28:10 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1364000 (1 GB) 2022-04-12 23:28:11 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1365000 (1 GB) 2022-04-12 23:28:11 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1366000 (1 GB) 2022-04-12 23:28:11 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1367000 (1 GB) 2022-04-12 23:28:11 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1368000 (1 GB) 2022-04-12 23:28:12 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1369000 (1 GB) 2022-04-12 23:28:12 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1370000 (1 GB) 2022-04-12 23:28:12 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1371000 (1 GB) 2022-04-12 23:28:13 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1372000 (1 GB) 2022-04-12 23:28:13 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1373000 (1 GB) 2022-04-12 23:28:13 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1374000 (1 GB) 2022-04-12 23:28:13 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1375000 (1 GB) 2022-04-12 23:28:14 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1376000 (1 GB) 2022-04-12 23:28:14 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1377000 (1 GB) 2022-04-12 23:28:14 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1378000 (1 GB) 2022-04-12 23:28:15 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1379000 (1 GB) 2022-04-12 23:28:15 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1380000 (1 GB) 2022-04-12 23:28:15 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1381000 (1 GB) 2022-04-12 23:28:15 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1382000 (1 GB) 2022-04-12 23:28:16 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1383000 (1 GB) 2022-04-12 23:28:16 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1384000 (1 GB) 2022-04-12 23:28:17 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1385000 (1 GB) 2022-04-12 23:28:17 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1386000 (1 GB) 2022-04-12 23:28:17 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1387000 (1 GB) 2022-04-12 23:28:17 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1388000 (1 GB) 2022-04-12 23:28:18 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1389000 (1 GB) 2022-04-12 23:28:18 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1390000 (1 GB) 2022-04-12 23:28:18 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1391000 (1 GB) 2022-04-12 23:28:18 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1392000 (1 GB) 2022-04-12 23:28:19 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1393000 (1 GB) 2022-04-12 23:28:20 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1394000 (1 GB) 2022-04-12 23:28:21 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1395000 (1 GB) 2022-04-12 23:28:21 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1396000 (1 GB) 2022-04-12 23:28:21 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1397000 (1 GB) 2022-04-12 23:28:21 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1398000 (1 GB) 2022-04-12 23:28:22 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1399000 (1 GB) 2022-04-12 23:28:22 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1400000 (1 GB) 2022-04-12 23:28:22 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1401000 (1 GB) 2022-04-12 23:28:23 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1402000 (1 GB) 2022-04-12 23:28:23 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1403000 (1 GB) 2022-04-12 23:28:23 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1404000 (1 GB) 2022-04-12 23:28:23 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1405000 (1 GB) 2022-04-12 23:28:24 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1406000 (1 GB) 2022-04-12 23:28:24 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1407000 (1 GB) 2022-04-12 23:28:25 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1408000 (1 GB) 2022-04-12 23:28:25 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1409000 (1 GB) 2022-04-12 23:28:25 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1410000 (1 GB) 2022-04-12 23:28:26 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1411000 (1 GB) 2022-04-12 23:28:26 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1412000 (1 GB) 2022-04-12 23:28:26 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1413000 (1 GB) 2022-04-12 23:28:27 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1414000 (1 GB) 2022-04-12 23:28:27 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1415000 (1 GB) 2022-04-12 23:28:27 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1416000 (1 GB) 2022-04-12 23:28:28 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1417000 (1 GB) 2022-04-12 23:28:28 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1418000 (1 GB) 2022-04-12 23:28:28 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1419000 (1 GB) 2022-04-12 23:28:28 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1420000 (1 GB) 2022-04-12 23:28:29 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1421000 (1 GB) 2022-04-12 23:28:29 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1422000 (1 GB) 2022-04-12 23:28:29 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1423000 (1 GB) 2022-04-12 23:28:30 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1424000 (1 GB) 2022-04-12 23:28:30 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1425000 (1 GB) 2022-04-12 23:28:31 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1426000 (1 GB) 2022-04-12 23:28:31 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1427000 (1 GB) 2022-04-12 23:28:31 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1428000 (1 GB) 2022-04-12 23:28:31 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1429000 (1 GB) 2022-04-12 23:28:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1430000 (1 GB) 2022-04-12 23:28:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1431000 (1 GB) 2022-04-12 23:28:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1432000 (1 GB) 2022-04-12 23:28:33 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1433000 (1 GB) 2022-04-12 23:28:33 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1434000 (1 GB) 2022-04-12 23:28:34 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1435000 (1 GB) 2022-04-12 23:27:56 destination > 2022-04-12 23:27:56 INFO i.a.i.d.r.SerializedBufferingStrategy(flushWriter):82 - Flushing buffer of stream contacts_list_memberships (200 MB) 2022-04-12 23:27:56 destination > 2022-04-12 23:27:56 INFO i.a.i.d.b.BigQueryStagingConsumerFactory(lambda$flushBufferFunction$4):115 - Flushing buffer for stream contacts_list_memberships (200 MB) to staging 2022-04-12 23:27:56 destination > 2022-04-12 23:27:56 INFO i.a.i.d.r.BaseSerializedBuffer(flush):138 - Finished writing data to 476ba848-7c95-4db0-92cd-6a3cf5470e8f16947464887314511390.avro (200 MB) 2022-04-12 23:27:56 destination > 2022-04-12 23:27:56 INFO i.a.i.d.b.BigQueryGcsOperations(uploadRecordsToStage):108 - Uploading records to staging for stream contacts_list_memberships (dataset hubspot_): product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-12 23:27:56 destination > 2022-04-12 23:27:56 INFO i.a.i.d.s.u.StreamTransferManagerHelper(getDefault):55 - PartSize arg is set to 5 MB 2022-04-12 23:27:56 destination > 2022-04-12 23:27:56 INFO a.m.s.StreamTransferManager(getMultiPartOutputStreams):329 - Initiated multipart upload to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with full ID ABPnzm58e06YapeEdT1glHhtS31dLcNytpblCs62dv4tiNueEn2AkoqtZhxJAzV5QSN9HFT1 2022-04-12 23:27:56 destination > 2022-04-12 23:27:56 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm58e...5QSN9HFT1]: Finished uploading [Part number 1 containing 5.01 MB] 2022-04-12 23:27:56 destination > 2022-04-12 23:27:56 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm58e...5QSN9HFT1]: Finished uploading [Part number 2 containing 5.01 MB] 2022-04-12 23:27:56 destination > 2022-04-12 23:27:56 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm58e...5QSN9HFT1]: Finished uploading [Part number 4 containing 5.01 MB] 2022-04-12 23:27:56 destination > 2022-04-12 23:27:56 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm58e...5QSN9HFT1]: Finished uploading [Part number 3 containing 5.01 MB] 2022-04-12 23:27:56 destination > 2022-04-12 23:27:56 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm58e...5QSN9HFT1]: Finished uploading [Part number 5 containing 5.01 MB] 2022-04-12 23:27:56 destination > 2022-04-12 23:27:56 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm58e...5QSN9HFT1]: Finished uploading [Part number 9 containing 5.01 MB] 2022-04-12 23:27:56 destination > 2022-04-12 23:27:56 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm58e...5QSN9HFT1]: Finished uploading [Part number 6 containing 5.01 MB] 2022-04-12 23:27:57 destination > 2022-04-12 23:27:57 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm58e...5QSN9HFT1]: Finished uploading [Part number 10 containing 5.01 MB] 2022-04-12 23:27:57 destination > 2022-04-12 23:27:57 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm58e...5QSN9HFT1]: Finished uploading [Part number 8 containing 5.01 MB] 2022-04-12 23:27:57 destination > 2022-04-12 23:27:57 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm58e...5QSN9HFT1]: Finished uploading [Part number 7 containing 5.01 MB] 2022-04-12 23:27:57 destination > 2022-04-12 23:27:57 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm58e...5QSN9HFT1]: Finished uploading [Part number 12 containing 5.01 MB] 2022-04-12 23:27:57 destination > 2022-04-12 23:27:57 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm58e...5QSN9HFT1]: Finished uploading [Part number 15 containing 5.01 MB] 2022-04-12 23:27:57 destination > 2022-04-12 23:27:57 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm58e...5QSN9HFT1]: Finished uploading [Part number 16 containing 5.01 MB] 2022-04-12 23:27:57 destination > 2022-04-12 23:27:57 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm58e...5QSN9HFT1]: Finished uploading [Part number 14 containing 5.01 MB] 2022-04-12 23:27:57 destination > 2022-04-12 23:27:57 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm58e...5QSN9HFT1]: Finished uploading [Part number 13 containing 5.01 MB] 2022-04-12 23:27:57 destination > 2022-04-12 23:27:57 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm58e...5QSN9HFT1]: Finished uploading [Part number 17 containing 5.01 MB] 2022-04-12 23:27:57 destination > 2022-04-12 23:27:57 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm58e...5QSN9HFT1]: Finished uploading [Part number 11 containing 5.01 MB] 2022-04-12 23:27:57 destination > 2022-04-12 23:27:57 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm58e...5QSN9HFT1]: Finished uploading [Part number 19 containing 5.01 MB] 2022-04-12 23:27:57 destination > 2022-04-12 23:27:57 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm58e...5QSN9HFT1]: Finished uploading [Part number 20 containing 5.01 MB] 2022-04-12 23:27:57 destination > 2022-04-12 23:27:57 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm58e...5QSN9HFT1]: Finished uploading [Part number 18 containing 5.01 MB] 2022-04-12 23:27:57 destination > 2022-04-12 23:27:57 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm58e...5QSN9HFT1]: Finished uploading [Part number 21 containing 5.01 MB] 2022-04-12 23:27:57 destination > 2022-04-12 23:27:57 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm58e...5QSN9HFT1]: Finished uploading [Part number 22 containing 5.01 MB] 2022-04-12 23:27:57 destination > 2022-04-12 23:27:57 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm58e...5QSN9HFT1]: Finished uploading [Part number 26 containing 5.01 MB] 2022-04-12 23:27:57 destination > 2022-04-12 23:27:57 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm58e...5QSN9HFT1]: Finished uploading [Part number 24 containing 5.01 MB] 2022-04-12 23:27:57 destination > 2022-04-12 23:27:57 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm58e...5QSN9HFT1]: Finished uploading [Part number 27 containing 5.01 MB] 2022-04-12 23:27:57 destination > 2022-04-12 23:27:57 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm58e...5QSN9HFT1]: Finished uploading [Part number 23 containing 5.01 MB] 2022-04-12 23:27:57 destination > 2022-04-12 23:27:57 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm58e...5QSN9HFT1]: Finished uploading [Part number 25 containing 5.01 MB] 2022-04-12 23:27:57 destination > 2022-04-12 23:27:57 INFO a.m.s.MultiPartOutputStream(close):158 - Called close() on [MultipartOutputStream for parts 1 - 10000] 2022-04-12 23:27:57 destination > 2022-04-12 23:27:57 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm58e...5QSN9HFT1]: Finished uploading [Part number 29 containing 5.01 MB] 2022-04-12 23:27:57 destination > 2022-04-12 23:27:57 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm58e...5QSN9HFT1]: Finished uploading [Part number 28 containing 5.01 MB] 2022-04-12 23:27:57 destination > 2022-04-12 23:27:57 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm58e...5QSN9HFT1]: Finished uploading [Part number 30 containing 5.01 MB] 2022-04-12 23:27:57 destination > 2022-04-12 23:27:57 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm58e...5QSN9HFT1]: Finished uploading [Part number 31 containing 5.01 MB] 2022-04-12 23:27:57 destination > 2022-04-12 23:27:57 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm58e...5QSN9HFT1]: Finished uploading [Part number 36 containing 5.01 MB] 2022-04-12 23:27:57 destination > 2022-04-12 23:27:57 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm58e...5QSN9HFT1]: Finished uploading [Part number 34 containing 5.01 MB] 2022-04-12 23:27:57 destination > 2022-04-12 23:27:57 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm58e...5QSN9HFT1]: Finished uploading [Part number 35 containing 5.01 MB] 2022-04-12 23:27:57 destination > 2022-04-12 23:27:57 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm58e...5QSN9HFT1]: Finished uploading [Part number 32 containing 5.01 MB] 2022-04-12 23:27:57 destination > 2022-04-12 23:27:57 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm58e...5QSN9HFT1]: Finished uploading [Part number 37 containing 5.01 MB] 2022-04-12 23:27:57 destination > 2022-04-12 23:27:57 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm58e...5QSN9HFT1]: Finished uploading [Part number 33 containing 5.01 MB] 2022-04-12 23:27:57 destination > 2022-04-12 23:27:57 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm58e...5QSN9HFT1]: Finished uploading [Part number 38 containing 5.01 MB] 2022-04-12 23:27:57 destination > 2022-04-12 23:27:57 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm58e...5QSN9HFT1]: Finished uploading [Part number 39 containing 9.72 MB] 2022-04-12 23:27:57 destination > 2022-04-12 23:27:57 INFO a.m.s.StreamTransferManager(complete):395 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm58e...5QSN9HFT1]: Completed 2022-04-12 23:27:57 destination > 2022-04-12 23:27:57 INFO i.a.i.d.s.S3StorageOperations(loadDataIntoBucket):161 - Uploaded buffer file to storage: 476ba848-7c95-4db0-92cd-6a3cf5470e8f16947464887314511390.avro -> product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro (filename: 1.avro) 2022-04-12 23:27:57 destination > 2022-04-12 23:27:57 INFO i.a.i.d.b.BigQueryWriteConfig(addStagedFile):53 - Added staged file: 1.avro 2022-04-12 23:27:57 destination > 2022-04-12 23:27:57 INFO i.a.i.d.r.FileBuffer(deleteFile):81 - Deleting tempFile data 476ba848-7c95-4db0-92cd-6a3cf5470e8f16947464887314511390.avro 2022-04-12 23:27:57 destination > 2022-04-12 23:27:57 INFO i.a.i.d.r.SerializedBufferingStrategy(lambda$addRecord$0):55 - Starting a new buffer for stream contacts_list_memberships (current state: 119 MB in 4 buffers) 2022-04-12 23:27:57 destination > 2022-04-12 23:27:57 INFO i.a.i.d.g.u.GcsUtils(getDefaultAvroSchema):25 - Default schema. 2022-04-12 23:28:34 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1436000 (1 GB) 2022-04-12 23:28:34 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1437000 (1 GB) 2022-04-12 23:28:34 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1438000 (1 GB) 2022-04-12 23:28:35 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1439000 (1 GB) 2022-04-12 23:28:35 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1440000 (1 GB) 2022-04-12 23:28:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1441000 (1 GB) 2022-04-12 23:28:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1442000 (1 GB) 2022-04-12 23:28:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1443000 (1 GB) 2022-04-12 23:28:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1444000 (1 GB) 2022-04-12 23:28:37 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1445000 (1 GB) 2022-04-12 23:28:37 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1446000 (1 GB) 2022-04-12 23:28:37 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1447000 (1 GB) 2022-04-12 23:28:38 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1448000 (1 GB) 2022-04-12 23:28:38 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1449000 (1 GB) 2022-04-12 23:28:39 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1450000 (1 GB) 2022-04-12 23:28:39 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1451000 (1 GB) 2022-04-12 23:28:40 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1452000 (1 GB) 2022-04-12 23:28:40 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1453000 (1 GB) 2022-04-12 23:28:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1454000 (1 GB) 2022-04-12 23:28:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1455000 (1 GB) 2022-04-12 23:28:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1456000 (1 GB) 2022-04-12 23:28:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1457000 (1 GB) 2022-04-12 23:28:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1458000 (1 GB) 2022-04-12 23:28:42 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1459000 (1 GB) 2022-04-12 23:28:42 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1460000 (1 GB) 2022-04-12 23:28:42 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1461000 (1 GB) 2022-04-12 23:28:43 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1462000 (1 GB) 2022-04-12 23:28:43 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1463000 (1 GB) 2022-04-12 23:28:43 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1464000 (1 GB) 2022-04-12 23:28:43 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1465000 (1 GB) 2022-04-12 23:28:44 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1466000 (1 GB) 2022-04-12 23:28:44 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1467000 (1 GB) 2022-04-12 23:28:44 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1468000 (1 GB) 2022-04-12 23:28:45 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1469000 (1 GB) 2022-04-12 23:28:45 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1470000 (1 GB) 2022-04-12 23:28:45 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1471000 (1 GB) 2022-04-12 23:28:46 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1472000 (1 GB) 2022-04-12 23:28:46 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1473000 (1 GB) 2022-04-12 23:28:46 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1474000 (1 GB) 2022-04-12 23:28:46 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1475000 (1 GB) 2022-04-12 23:28:47 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1476000 (1 GB) 2022-04-12 23:28:47 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1477000 (1 GB) 2022-04-12 23:28:48 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1478000 (1 GB) 2022-04-12 23:28:48 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1479000 (1 GB) 2022-04-12 23:28:48 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1480000 (1 GB) 2022-04-12 23:28:48 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1481000 (1 GB) 2022-04-12 23:28:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1482000 (1 GB) 2022-04-12 23:28:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1483000 (1 GB) 2022-04-12 23:28:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1484000 (1 GB) 2022-04-12 23:28:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1485000 (1 GB) 2022-04-12 23:28:50 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1486000 (1 GB) 2022-04-12 23:28:50 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1487000 (1 GB) 2022-04-12 23:28:50 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1488000 (1 GB) 2022-04-12 23:28:51 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1489000 (1 GB) 2022-04-12 23:28:51 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1490000 (1 GB) 2022-04-12 23:28:51 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1491000 (1 GB) 2022-04-12 23:28:51 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1492000 (1 GB) 2022-04-12 23:28:52 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1493000 (1 GB) 2022-04-12 23:28:52 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1494000 (1 GB) 2022-04-12 23:28:52 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1495000 (1 GB) 2022-04-12 23:28:53 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1496000 (1 GB) 2022-04-12 23:28:53 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1497000 (1 GB) 2022-04-12 23:28:53 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1498000 (1 GB) 2022-04-12 23:28:53 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1499000 (1 GB) 2022-04-12 23:28:54 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1500000 (1 GB) 2022-04-12 23:28:54 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1501000 (1 GB) 2022-04-12 23:28:54 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1502000 (1 GB) 2022-04-12 23:28:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1503000 (1 GB) 2022-04-12 23:28:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1504000 (1 GB) 2022-04-12 23:28:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1505000 (1 GB) 2022-04-12 23:28:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1506000 (1 GB) 2022-04-12 23:28:56 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1507000 (1 GB) 2022-04-12 23:28:56 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1508000 (1 GB) 2022-04-12 23:28:56 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1509000 (1 GB) 2022-04-12 23:28:57 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1510000 (1 GB) 2022-04-12 23:28:57 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1511000 (1 GB) 2022-04-12 23:28:57 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1512000 (1 GB) 2022-04-12 23:28:57 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1513000 (1 GB) 2022-04-12 23:28:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1514000 (1 GB) 2022-04-12 23:28:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1515000 (1 GB) 2022-04-12 23:28:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1516000 (1 GB) 2022-04-12 23:28:59 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1517000 (1 GB) 2022-04-12 23:28:59 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1518000 (1 GB) 2022-04-12 23:28:59 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1519000 (1 GB) 2022-04-12 23:29:00 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1520000 (1 GB) 2022-04-12 23:29:00 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1521000 (1 GB) 2022-04-12 23:29:00 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1522000 (1 GB) 2022-04-12 23:29:00 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1523000 (1 GB) 2022-04-12 23:29:01 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1524000 (1 GB) 2022-04-12 23:29:01 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1525000 (1 GB) 2022-04-12 23:29:01 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1526000 (1 GB) 2022-04-12 23:29:01 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1527000 (1 GB) 2022-04-12 23:29:02 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1528000 (1 GB) 2022-04-12 23:29:02 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1529000 (1 GB) 2022-04-12 23:29:02 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1530000 (1 GB) 2022-04-12 23:29:03 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1531000 (1 GB) 2022-04-12 23:29:03 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1532000 (1 GB) 2022-04-12 23:29:03 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1533000 (1 GB) 2022-04-12 23:29:04 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1534000 (1 GB) 2022-04-12 23:29:04 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1535000 (1 GB) 2022-04-12 23:29:04 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1536000 (1 GB) 2022-04-12 23:29:04 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1537000 (1 GB) 2022-04-12 23:29:05 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1538000 (1 GB) 2022-04-12 23:29:05 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1539000 (1 GB) 2022-04-12 23:29:06 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1540000 (1 GB) 2022-04-12 23:29:06 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1541000 (1 GB) 2022-04-12 23:29:06 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1542000 (1 GB) 2022-04-12 23:29:06 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1543000 (1 GB) 2022-04-12 23:29:07 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1544000 (1 GB) 2022-04-12 23:29:07 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1545000 (1 GB) 2022-04-12 23:29:07 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1546000 (1 GB) 2022-04-12 23:29:08 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1547000 (1 GB) 2022-04-12 23:29:08 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1548000 (1 GB) 2022-04-12 23:29:08 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1549000 (1 GB) 2022-04-12 23:29:08 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1550000 (1 GB) 2022-04-12 23:29:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1551000 (1 GB) 2022-04-12 23:29:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1552000 (1 GB) 2022-04-12 23:29:10 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1553000 (1 GB) 2022-04-12 23:29:10 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1554000 (1 GB) 2022-04-12 23:29:10 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1555000 (1 GB) 2022-04-12 23:29:10 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1556000 (1 GB) 2022-04-12 23:29:11 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1557000 (1 GB) 2022-04-12 23:29:11 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1558000 (1 GB) 2022-04-12 23:29:11 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1559000 (1 GB) 2022-04-12 23:29:12 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1560000 (1 GB) 2022-04-12 23:29:12 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1561000 (1 GB) 2022-04-12 23:29:12 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1562000 (1 GB) 2022-04-12 23:29:13 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1563000 (1 GB) 2022-04-12 23:29:13 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1564000 (1 GB) 2022-04-12 23:29:13 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1565000 (1 GB) 2022-04-12 23:29:13 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1566000 (1 GB) 2022-04-12 23:29:14 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1567000 (1 GB) 2022-04-12 23:29:14 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1568000 (1 GB) 2022-04-12 23:29:14 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1569000 (1 GB) 2022-04-12 23:29:15 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1570000 (1 GB) 2022-04-12 23:29:15 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1571000 (1 GB) 2022-04-12 23:29:15 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1572000 (1 GB) 2022-04-12 23:29:15 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1573000 (1 GB) 2022-04-12 23:29:16 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1574000 (1 GB) 2022-04-12 23:29:16 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1575000 (1 GB) 2022-04-12 23:29:16 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1576000 (1 GB) 2022-04-12 23:29:17 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1577000 (1 GB) 2022-04-12 23:29:17 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1578000 (1 GB) 2022-04-12 23:29:17 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1579000 (1 GB) 2022-04-12 23:29:18 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1580000 (1 GB) 2022-04-12 23:29:18 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1581000 (1 GB) 2022-04-12 23:29:18 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1582000 (1 GB) 2022-04-12 23:29:19 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1583000 (1 GB) 2022-04-12 23:29:19 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1584000 (1 GB) 2022-04-12 23:29:19 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1585000 (1 GB) 2022-04-12 23:29:20 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1586000 (1 GB) 2022-04-12 23:29:20 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1587000 (1 GB) 2022-04-12 23:29:20 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1588000 (1 GB) 2022-04-12 23:29:21 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1589000 (1 GB) 2022-04-12 23:29:21 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1590000 (1 GB) 2022-04-12 23:29:21 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1591000 (1 GB) 2022-04-12 23:29:22 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1592000 (1 GB) 2022-04-12 23:29:22 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1593000 (1 GB) 2022-04-12 23:29:22 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1594000 (1 GB) 2022-04-12 23:29:23 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1595000 (1 GB) 2022-04-12 23:29:23 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1596000 (1 GB) 2022-04-12 23:29:24 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1597000 (1 GB) 2022-04-12 23:29:24 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1598000 (1 GB) 2022-04-12 23:29:24 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1599000 (1 GB) 2022-04-12 23:29:24 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1600000 (1 GB) 2022-04-12 23:29:25 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1601000 (1 GB) 2022-04-12 23:29:25 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1602000 (1 GB) 2022-04-12 23:29:25 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1603000 (1 GB) 2022-04-12 23:29:26 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1604000 (1 GB) 2022-04-12 23:29:26 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1605000 (1 GB) 2022-04-12 23:29:26 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1606000 (1 GB) 2022-04-12 23:29:26 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1607000 (1 GB) 2022-04-12 23:29:27 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1608000 (1 GB) 2022-04-12 23:29:27 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1609000 (1 GB) 2022-04-12 23:29:28 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1610000 (1 GB) 2022-04-12 23:29:28 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1611000 (1 GB) 2022-04-12 23:29:28 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1612000 (1 GB) 2022-04-12 23:29:28 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1613000 (1 GB) 2022-04-12 23:29:29 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1614000 (1 GB) 2022-04-12 23:29:29 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1615000 (1 GB) 2022-04-12 23:29:29 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1616000 (1 GB) 2022-04-12 23:29:30 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1617000 (1 GB) 2022-04-12 23:29:30 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1618000 (1 GB) 2022-04-12 23:29:30 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1619000 (1 GB) 2022-04-12 23:29:31 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1620000 (1 GB) 2022-04-12 23:29:31 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1621000 (1 GB) 2022-04-12 23:29:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1622000 (1 GB) 2022-04-12 23:29:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1623000 (1 GB) 2022-04-12 23:29:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1624000 (1 GB) 2022-04-12 23:29:33 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1625000 (1 GB) 2022-04-12 23:29:33 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1626000 (1 GB) 2022-04-12 23:29:33 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1627000 (1 GB) 2022-04-12 23:29:34 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1628000 (1 GB) 2022-04-12 23:29:34 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1629000 (1 GB) 2022-04-12 23:29:34 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1630000 (1 GB) 2022-04-12 23:29:35 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1631000 (1 GB) 2022-04-12 23:29:35 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1632000 (1 GB) 2022-04-12 23:29:35 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1633000 (1 GB) 2022-04-12 23:29:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1634000 (1 GB) 2022-04-12 23:29:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1635000 (1 GB) 2022-04-12 23:29:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1636000 (1 GB) 2022-04-12 23:29:37 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1637000 (1 GB) 2022-04-12 23:29:37 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1638000 (1 GB) 2022-04-12 23:29:37 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1639000 (1 GB) 2022-04-12 23:29:38 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1640000 (1 GB) 2022-04-12 23:29:38 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1641000 (1 GB) 2022-04-12 23:29:39 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1642000 (1 GB) 2022-04-12 23:29:39 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1643000 (1 GB) 2022-04-12 23:29:40 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1644000 (1 GB) 2022-04-12 23:29:40 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1645000 (1 GB) 2022-04-12 23:29:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1646000 (1 GB) 2022-04-12 23:29:42 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1647000 (1 GB) 2022-04-12 23:29:42 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1648000 (1 GB) 2022-04-12 23:29:43 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1649000 (1 GB) 2022-04-12 23:29:43 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1650000 (1 GB) 2022-04-12 23:29:44 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1651000 (1 GB) 2022-04-12 23:29:45 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1652000 (1 GB) 2022-04-12 23:29:45 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1653000 (1 GB) 2022-04-12 23:29:45 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1654000 (1 GB) 2022-04-12 23:29:46 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1655000 (1 GB) 2022-04-12 23:29:47 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1656000 (1 GB) 2022-04-12 23:29:47 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1657000 (1 GB) 2022-04-12 23:29:48 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1658000 (1 GB) 2022-04-12 23:29:48 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1659000 (1 GB) 2022-04-12 23:29:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1660000 (1 GB) 2022-04-12 23:29:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1661000 (1 GB) 2022-04-12 23:29:50 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1662000 (1 GB) 2022-04-12 23:29:51 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1663000 (1 GB) 2022-04-12 23:29:51 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1664000 (1 GB) 2022-04-12 23:29:51 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1665000 (1 GB) 2022-04-12 23:29:52 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1666000 (1 GB) 2022-04-12 23:29:52 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1667000 (1 GB) 2022-04-12 23:29:52 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1668000 (1 GB) 2022-04-12 23:29:53 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1669000 (1 GB) 2022-04-12 23:29:53 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1670000 (1 GB) 2022-04-12 23:29:53 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1671000 (1 GB) 2022-04-12 23:29:53 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1672000 (1 GB) 2022-04-12 23:29:54 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1673000 (1 GB) 2022-04-12 23:29:54 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1674000 (1 GB) 2022-04-12 23:29:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1675000 (1 GB) 2022-04-12 23:29:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1676000 (1 GB) 2022-04-12 23:29:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1677000 (1 GB) 2022-04-12 23:29:56 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1678000 (1 GB) 2022-04-12 23:29:56 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1679000 (1 GB) 2022-04-12 23:29:56 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1680000 (1 GB) 2022-04-12 23:29:56 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1681000 (1 GB) 2022-04-12 23:29:57 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1682000 (1 GB) 2022-04-12 23:29:57 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1683000 (1 GB) 2022-04-12 23:29:57 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1684000 (1 GB) 2022-04-12 23:29:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1685000 (1 GB) 2022-04-12 23:29:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1686000 (1 GB) 2022-04-12 23:29:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1687000 (1 GB) 2022-04-12 23:29:59 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1688000 (1 GB) 2022-04-12 23:29:59 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1689000 (1 GB) 2022-04-12 23:29:59 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1690000 (1 GB) 2022-04-12 23:30:00 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1691000 (1 GB) 2022-04-12 23:30:00 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1692000 (1 GB) 2022-04-12 23:30:00 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1693000 (1 GB) 2022-04-12 23:30:01 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1694000 (1 GB) 2022-04-12 23:30:01 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1695000 (1 GB) 2022-04-12 23:30:01 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1696000 (1 GB) 2022-04-12 23:30:02 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1697000 (1 GB) 2022-04-12 23:30:02 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1698000 (1 GB) 2022-04-12 23:30:02 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1699000 (1 GB) 2022-04-12 23:30:02 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1700000 (1 GB) 2022-04-12 23:30:03 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1701000 (1 GB) 2022-04-12 23:30:03 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1702000 (1 GB) 2022-04-12 23:30:03 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1703000 (1 GB) 2022-04-12 23:30:03 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1704000 (1 GB) 2022-04-12 23:30:04 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1705000 (1 GB) 2022-04-12 23:30:04 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1706000 (1 GB) 2022-04-12 23:30:04 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1707000 (1 GB) 2022-04-12 23:30:05 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1708000 (1 GB) 2022-04-12 23:30:05 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1709000 (1 GB) 2022-04-12 23:30:05 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1710000 (1 GB) 2022-04-12 23:30:06 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1711000 (1 GB) 2022-04-12 23:30:06 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1712000 (1 GB) 2022-04-12 23:30:06 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1713000 (1 GB) 2022-04-12 23:30:07 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1714000 (1 GB) 2022-04-12 23:30:07 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1715000 (1 GB) 2022-04-12 23:30:07 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1716000 (1 GB) 2022-04-12 23:30:08 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1717000 (1 GB) 2022-04-12 23:30:08 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1718000 (1 GB) 2022-04-12 23:30:08 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1719000 (1 GB) 2022-04-12 23:30:08 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1720000 (1 GB) 2022-04-12 23:30:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1721000 (1 GB) 2022-04-12 23:30:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1722000 (1 GB) 2022-04-12 23:30:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1723000 (1 GB) 2022-04-12 23:30:10 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1724000 (1 GB) 2022-04-12 23:30:10 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1725000 (1 GB) 2022-04-12 23:30:10 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1726000 (1 GB) 2022-04-12 23:30:11 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1727000 (1 GB) 2022-04-12 23:30:11 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1728000 (1 GB) 2022-04-12 23:30:11 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1729000 (1 GB) 2022-04-12 23:30:11 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1730000 (1 GB) 2022-04-12 23:30:12 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1731000 (1 GB) 2022-04-12 23:30:12 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1732000 (1 GB) 2022-04-12 23:30:12 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1733000 (1 GB) 2022-04-12 23:30:13 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1734000 (1 GB) 2022-04-12 23:30:13 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1735000 (1 GB) 2022-04-12 23:30:13 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1736000 (1 GB) 2022-04-12 23:30:13 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1737000 (1 GB) 2022-04-12 23:30:14 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1738000 (1 GB) 2022-04-12 23:30:14 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1739000 (1 GB) 2022-04-12 23:30:15 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1740000 (1 GB) 2022-04-12 23:30:15 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1741000 (1 GB) 2022-04-12 23:30:15 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1742000 (1 GB) 2022-04-12 23:30:16 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1743000 (1 GB) 2022-04-12 23:30:16 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1744000 (1 GB) 2022-04-12 23:30:16 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1745000 (1 GB) 2022-04-12 23:30:16 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1746000 (1 GB) 2022-04-12 23:30:17 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1747000 (1 GB) 2022-04-12 23:30:17 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1748000 (1 GB) 2022-04-12 23:30:17 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1749000 (1 GB) 2022-04-12 23:30:18 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1750000 (1 GB) 2022-04-12 23:30:18 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1751000 (1 GB) 2022-04-12 23:30:18 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1752000 (1 GB) 2022-04-12 23:30:18 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1753000 (1 GB) 2022-04-12 23:30:19 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1754000 (1 GB) 2022-04-12 23:30:19 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1755000 (1 GB) 2022-04-12 23:30:19 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1756000 (1 GB) 2022-04-12 23:30:20 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1757000 (1 GB) 2022-04-12 23:30:20 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1758000 (1 GB) 2022-04-12 23:30:20 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1759000 (1 GB) 2022-04-12 23:30:21 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1760000 (1 GB) 2022-04-12 23:30:21 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1761000 (1 GB) 2022-04-12 23:30:22 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1762000 (1 GB) 2022-04-12 23:30:22 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1763000 (1 GB) 2022-04-12 23:30:22 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1764000 (1 GB) 2022-04-12 23:30:22 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1765000 (1 GB) 2022-04-12 23:30:23 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1766000 (1 GB) 2022-04-12 23:30:23 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1767000 (1 GB) 2022-04-12 23:30:23 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1768000 (1 GB) 2022-04-12 23:30:24 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1769000 (1 GB) 2022-04-12 23:30:24 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1770000 (1 GB) 2022-04-12 23:30:24 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1771000 (1 GB) 2022-04-12 23:30:25 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1772000 (1 GB) 2022-04-12 23:30:25 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1773000 (1 GB) 2022-04-12 23:30:25 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1774000 (1 GB) 2022-04-12 23:30:25 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1775000 (1 GB) 2022-04-12 23:30:26 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1776000 (1 GB) 2022-04-12 23:30:26 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1777000 (1 GB) 2022-04-12 23:30:26 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1778000 (1 GB) 2022-04-12 23:30:27 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1779000 (1 GB) 2022-04-12 23:30:27 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1780000 (1 GB) 2022-04-12 23:30:27 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1781000 (1 GB) 2022-04-12 23:30:28 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1782000 (1 GB) 2022-04-12 23:30:28 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1783000 (1 GB) 2022-04-12 23:30:29 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1784000 (1 GB) 2022-04-12 23:30:29 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1785000 (1 GB) 2022-04-12 23:30:29 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1786000 (1 GB) 2022-04-12 23:30:30 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1787000 (1 GB) 2022-04-12 23:30:30 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1788000 (1 GB) 2022-04-12 23:30:30 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1789000 (1 GB) 2022-04-12 23:30:31 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1790000 (1 GB) 2022-04-12 23:30:31 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1791000 (1 GB) 2022-04-12 23:30:31 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1792000 (1 GB) 2022-04-12 23:30:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1793000 (1 GB) 2022-04-12 23:30:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1794000 (1 GB) 2022-04-12 23:30:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1795000 (1 GB) 2022-04-12 23:30:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1796000 (1 GB) 2022-04-12 23:30:33 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1797000 (1 GB) 2022-04-12 23:30:33 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1798000 (1 GB) 2022-04-12 23:30:33 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1799000 (1 GB) 2022-04-12 23:30:34 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1800000 (1 GB) 2022-04-12 23:30:34 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1801000 (1 GB) 2022-04-12 23:30:34 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1802000 (1 GB) 2022-04-12 23:30:35 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1803000 (1 GB) 2022-04-12 23:30:35 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1804000 (1 GB) 2022-04-12 23:30:35 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1805000 (1 GB) 2022-04-12 23:30:35 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1806000 (1 GB) 2022-04-12 23:30:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1807000 (1 GB) 2022-04-12 23:30:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1808000 (1 GB) 2022-04-12 23:30:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1809000 (1 GB) 2022-04-12 23:30:37 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1810000 (1 GB) 2022-04-12 23:30:37 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1811000 (1 GB) 2022-04-12 23:30:37 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1812000 (1 GB) 2022-04-12 23:30:38 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1813000 (1 GB) 2022-04-12 23:30:38 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1814000 (1 GB) 2022-04-12 23:30:39 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1815000 (1 GB) 2022-04-12 23:30:39 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1816000 (1 GB) 2022-04-12 23:30:39 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1817000 (1 GB) 2022-04-12 23:30:40 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1818000 (1 GB) 2022-04-12 23:30:40 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1819000 (1 GB) 2022-04-12 23:30:40 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1820000 (1 GB) 2022-04-12 23:30:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1821000 (1 GB) 2022-04-12 23:30:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1822000 (1 GB) 2022-04-12 23:30:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1823000 (1 GB) 2022-04-12 23:30:42 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1824000 (1 GB) 2022-04-12 23:30:42 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1825000 (1 GB) 2022-04-12 23:30:42 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1826000 (1 GB) 2022-04-12 23:30:43 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1827000 (1 GB) 2022-04-12 23:30:43 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1828000 (1 GB) 2022-04-12 23:30:43 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1829000 (1 GB) 2022-04-12 23:30:44 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1830000 (1 GB) 2022-04-12 23:30:44 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1831000 (1 GB) 2022-04-12 23:30:44 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1832000 (1 GB) 2022-04-12 23:30:44 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1833000 (1 GB) 2022-04-12 23:30:45 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1834000 (1 GB) 2022-04-12 23:30:45 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1835000 (1 GB) 2022-04-12 23:30:46 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1836000 (1 GB) 2022-04-12 23:30:46 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1837000 (1 GB) 2022-04-12 23:30:46 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1838000 (1 GB) 2022-04-12 23:30:46 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1839000 (1 GB) 2022-04-12 23:30:47 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1840000 (1 GB) 2022-04-12 23:30:47 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1841000 (1 GB) 2022-04-12 23:30:47 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1842000 (1 GB) 2022-04-12 23:30:48 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1843000 (1 GB) 2022-04-12 23:30:48 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1844000 (1 GB) 2022-04-12 23:30:48 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1845000 (1 GB) 2022-04-12 23:30:48 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1846000 (1 GB) 2022-04-12 23:30:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1847000 (1 GB) 2022-04-12 23:30:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1848000 (1 GB) 2022-04-12 23:30:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1849000 (1 GB) 2022-04-12 23:30:50 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1850000 (1 GB) 2022-04-12 23:30:50 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1851000 (1 GB) 2022-04-12 23:30:51 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1852000 (1 GB) 2022-04-12 23:30:51 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1853000 (1 GB) 2022-04-12 23:30:51 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1854000 (1 GB) 2022-04-12 23:30:51 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1855000 (1 GB) 2022-04-12 23:30:52 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1856000 (1 GB) 2022-04-12 23:30:52 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1857000 (1 GB) 2022-04-12 23:30:52 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1858000 (1 GB) 2022-04-12 23:30:53 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1859000 (1 GB) 2022-04-12 23:30:53 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1860000 (1 GB) 2022-04-12 23:30:53 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1861000 (1 GB) 2022-04-12 23:30:53 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1862000 (1 GB) 2022-04-12 23:30:54 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1863000 (1 GB) 2022-04-12 23:30:54 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1864000 (1 GB) 2022-04-12 23:30:54 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1865000 (1 GB) 2022-04-12 23:30:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1866000 (1 GB) 2022-04-12 23:30:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1867000 (1 GB) 2022-04-12 23:30:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1868000 (1 GB) 2022-04-12 23:30:56 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1869000 (1 GB) 2022-04-12 23:30:56 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1870000 (1 GB) 2022-04-12 23:30:56 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1871000 (1 GB) 2022-04-12 23:30:56 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1872000 (1 GB) 2022-04-12 23:30:57 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1873000 (1 GB) 2022-04-12 23:30:57 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1874000 (1 GB) 2022-04-12 23:30:57 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1875000 (1 GB) 2022-04-12 23:30:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1876000 (1 GB) 2022-04-12 23:30:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1877000 (1 GB) 2022-04-12 23:30:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1878000 (1 GB) 2022-04-12 23:30:59 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1879000 (1 GB) 2022-04-12 23:30:59 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1880000 (1 GB) 2022-04-12 23:30:59 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1881000 (1 GB) 2022-04-12 23:31:00 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1882000 (1 GB) 2022-04-12 23:31:00 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1883000 (1 GB) 2022-04-12 23:31:00 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1884000 (1 GB) 2022-04-12 23:31:00 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1885000 (1 GB) 2022-04-12 23:31:01 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1886000 (1 GB) 2022-04-12 23:31:01 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1887000 (1 GB) 2022-04-12 23:31:01 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1888000 (1 GB) 2022-04-12 23:31:02 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1889000 (1 GB) 2022-04-12 23:31:02 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1890000 (1 GB) 2022-04-12 23:31:02 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1891000 (1 GB) 2022-04-12 23:31:02 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1892000 (1 GB) 2022-04-12 23:31:03 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1893000 (1 GB) 2022-04-12 23:31:03 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1894000 (1 GB) 2022-04-12 23:31:03 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1895000 (1 GB) 2022-04-12 23:31:04 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1896000 (1 GB) 2022-04-12 23:31:04 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1897000 (1 GB) 2022-04-12 23:31:04 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1898000 (1 GB) 2022-04-12 23:31:05 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1899000 (1 GB) 2022-04-12 23:31:05 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1900000 (1 GB) 2022-04-12 23:31:05 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1901000 (1 GB) 2022-04-12 23:31:05 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1902000 (1 GB) 2022-04-12 23:31:06 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1903000 (1 GB) 2022-04-12 23:31:06 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1904000 (1 GB) 2022-04-12 23:31:07 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1905000 (1 GB) 2022-04-12 23:31:07 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1906000 (1 GB) 2022-04-12 23:31:07 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1907000 (1 GB) 2022-04-12 23:31:08 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1908000 (1 GB) 2022-04-12 23:31:08 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1909000 (1 GB) 2022-04-12 23:31:08 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1910000 (1 GB) 2022-04-12 23:31:08 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1911000 (1 GB) 2022-04-12 23:31:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1912000 (1 GB) 2022-04-12 23:31:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1913000 (1 GB) 2022-04-12 23:31:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1914000 (1 GB) 2022-04-12 23:31:10 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1915000 (1 GB) 2022-04-12 23:31:10 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1916000 (1 GB) 2022-04-12 23:31:10 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1917000 (1 GB) 2022-04-12 23:31:10 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1918000 (1 GB) 2022-04-12 23:31:11 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1919000 (1 GB) 2022-04-12 23:31:11 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1920000 (1 GB) 2022-04-12 23:31:11 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1921000 (1 GB) 2022-04-12 23:31:12 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1922000 (1 GB) 2022-04-12 23:31:12 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1923000 (1 GB) 2022-04-12 23:31:12 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1924000 (1 GB) 2022-04-12 23:31:12 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1925000 (1 GB) 2022-04-12 23:31:13 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1926000 (1 GB) 2022-04-12 23:31:13 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1927000 (1 GB) 2022-04-12 23:31:13 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1928000 (1 GB) 2022-04-12 23:31:14 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1929000 (1 GB) 2022-04-12 23:31:14 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1930000 (1 GB) 2022-04-12 23:31:14 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1931000 (1 GB) 2022-04-12 23:31:15 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1932000 (1 GB) 2022-04-12 23:31:15 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1933000 (1 GB) 2022-04-12 23:31:16 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1934000 (1 GB) 2022-04-12 23:31:16 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1935000 (1 GB) 2022-04-12 23:31:16 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1936000 (1 GB) 2022-04-12 23:31:16 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1937000 (1 GB) 2022-04-12 23:31:17 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1938000 (1 GB) 2022-04-12 23:31:17 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1939000 (1 GB) 2022-04-12 23:31:18 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1940000 (1 GB) 2022-04-12 23:31:18 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1941000 (1 GB) 2022-04-12 23:31:18 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1942000 (1 GB) 2022-04-12 23:31:18 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1943000 (1 GB) 2022-04-12 23:31:19 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1944000 (1 GB) 2022-04-12 23:31:19 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1945000 (1 GB) 2022-04-12 23:31:19 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1946000 (1 GB) 2022-04-12 23:31:20 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1947000 (1 GB) 2022-04-12 23:31:20 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1948000 (1 GB) 2022-04-12 23:31:20 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1949000 (1 GB) 2022-04-12 23:31:21 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1950000 (1 GB) 2022-04-12 23:31:21 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1951000 (1 GB) 2022-04-12 23:31:21 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1952000 (1 GB) 2022-04-12 23:31:22 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1953000 (1 GB) 2022-04-12 23:31:22 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1954000 (1 GB) 2022-04-12 23:31:23 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1955000 (1 GB) 2022-04-12 23:31:23 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1956000 (1 GB) 2022-04-12 23:31:23 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1957000 (1 GB) 2022-04-12 23:31:23 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1958000 (1 GB) 2022-04-12 23:31:24 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1959000 (1 GB) 2022-04-12 23:31:25 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1960000 (1 GB) 2022-04-12 23:31:25 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1961000 (1 GB) 2022-04-12 23:31:25 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1962000 (1 GB) 2022-04-12 23:31:26 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1963000 (1 GB) 2022-04-12 23:31:26 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1964000 (1 GB) 2022-04-12 23:31:26 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1965000 (1 GB) 2022-04-12 23:31:27 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1966000 (1 GB) 2022-04-12 23:31:27 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1967000 (1 GB) 2022-04-12 23:31:28 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1968000 (1 GB) 2022-04-12 23:31:28 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1969000 (1 GB) 2022-04-12 23:31:28 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1970000 (1 GB) 2022-04-12 23:31:28 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1971000 (1 GB) 2022-04-12 23:31:29 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1972000 (1 GB) 2022-04-12 23:31:29 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1973000 (1 GB) 2022-04-12 23:31:29 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1974000 (1 GB) 2022-04-12 23:31:30 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1975000 (1 GB) 2022-04-12 23:31:30 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1976000 (1 GB) 2022-04-12 23:31:30 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1977000 (1 GB) 2022-04-12 23:31:30 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1978000 (1 GB) 2022-04-12 23:31:31 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1979000 (1 GB) 2022-04-12 23:31:31 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1980000 (1 GB) 2022-04-12 23:31:31 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1981000 (1 GB) 2022-04-12 23:31:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1982000 (1 GB) 2022-04-12 23:31:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1983000 (1 GB) 2022-04-12 23:31:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1984000 (1 GB) 2022-04-12 23:31:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1985000 (1 GB) 2022-04-12 23:31:33 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1986000 (1 GB) 2022-04-12 23:31:33 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1987000 (1 GB) 2022-04-12 23:31:34 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1988000 (1 GB) 2022-04-12 23:31:34 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1989000 (1 GB) 2022-04-12 23:31:34 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1990000 (1 GB) 2022-04-12 23:31:34 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1991000 (1 GB) 2022-04-12 23:31:35 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1992000 (1 GB) 2022-04-12 23:31:35 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1993000 (1 GB) 2022-04-12 23:31:35 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1994000 (1 GB) 2022-04-12 23:31:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1995000 (1 GB) 2022-04-12 23:31:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1996000 (1 GB) 2022-04-12 23:31:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1997000 (1 GB) 2022-04-12 23:31:37 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1998000 (1 GB) 2022-04-12 23:31:37 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 1999000 (1 GB) 2022-04-12 23:31:37 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2000000 (1 GB) 2022-04-12 23:31:38 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2001000 (1 GB) 2022-04-12 23:31:38 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2002000 (1 GB) 2022-04-12 23:31:38 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2003000 (1 GB) 2022-04-12 23:31:38 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2004000 (1 GB) 2022-04-12 23:31:39 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2005000 (1 GB) 2022-04-12 23:31:39 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2006000 (1 GB) 2022-04-12 23:31:39 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2007000 (1 GB) 2022-04-12 23:31:39 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2008000 (1 GB) 2022-04-12 23:31:40 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2009000 (1 GB) 2022-04-12 23:31:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2010000 (1 GB) 2022-04-12 23:31:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2011000 (1 GB) 2022-04-12 23:31:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2012000 (1 GB) 2022-04-12 23:31:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2013000 (1 GB) 2022-04-12 23:31:42 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2014000 (1 GB) 2022-04-12 23:31:42 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2015000 (1 GB) 2022-04-12 23:31:43 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2016000 (1 GB) 2022-04-12 23:31:43 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2017000 (1 GB) 2022-04-12 23:31:43 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2018000 (1 GB) 2022-04-12 23:31:43 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2019000 (1 GB) 2022-04-12 23:31:44 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2020000 (1 GB) 2022-04-12 23:31:44 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2021000 (1 GB) 2022-04-12 23:31:44 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2022000 (1 GB) 2022-04-12 23:31:45 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2023000 (1 GB) 2022-04-12 23:31:45 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2024000 (1 GB) 2022-04-12 23:31:45 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2025000 (1 GB) 2022-04-12 23:31:45 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2026000 (1 GB) 2022-04-12 23:31:46 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2027000 (1 GB) 2022-04-12 23:31:47 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2028000 (1 GB) 2022-04-12 23:31:47 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2029000 (1 GB) 2022-04-12 23:31:47 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2030000 (1 GB) 2022-04-12 23:31:48 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2031000 (1 GB) 2022-04-12 23:31:48 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2032000 (1 GB) 2022-04-12 23:31:48 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2033000 (1 GB) 2022-04-12 23:31:48 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2034000 (1 GB) 2022-04-12 23:31:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2035000 (1 GB) 2022-04-12 23:31:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2036000 (1 GB) 2022-04-12 23:31:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2037000 (1 GB) 2022-04-12 23:31:50 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2038000 (1 GB) 2022-04-12 23:31:50 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2039000 (1 GB) 2022-04-12 23:31:50 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2040000 (1 GB) 2022-04-12 23:31:50 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2041000 (1 GB) 2022-04-12 23:31:51 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2042000 (1 GB) 2022-04-12 23:31:51 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2043000 (1 GB) 2022-04-12 23:31:52 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2044000 (1 GB) 2022-04-12 23:31:52 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2045000 (1 GB) 2022-04-12 23:31:52 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2046000 (1 GB) 2022-04-12 23:31:53 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2047000 (1 GB) 2022-04-12 23:31:53 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2048000 (1 GB) 2022-04-12 23:31:53 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2049000 (1 GB) 2022-04-12 23:31:53 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2050000 (1 GB) 2022-04-12 23:31:54 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2051000 (1 GB) 2022-04-12 23:31:54 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2052000 (1 GB) 2022-04-12 23:31:54 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2053000 (1 GB) 2022-04-12 23:31:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2054000 (1 GB) 2022-04-12 23:31:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2055000 (1 GB) 2022-04-12 23:31:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2056000 (1 GB) 2022-04-12 23:31:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2057000 (1 GB) 2022-04-12 23:31:56 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2058000 (1 GB) 2022-04-12 23:31:56 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2059000 (1 GB) 2022-04-12 23:31:56 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2060000 (1 GB) 2022-04-12 23:31:57 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2061000 (1 GB) 2022-04-12 23:31:57 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2062000 (1 GB) 2022-04-12 23:31:57 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2063000 (1 GB) 2022-04-12 23:31:57 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2064000 (1 GB) 2022-04-12 23:31:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2065000 (1 GB) 2022-04-12 23:31:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2066000 (1 GB) 2022-04-12 23:31:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2067000 (1 GB) 2022-04-12 23:31:59 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2068000 (1 GB) 2022-04-12 23:31:59 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2069000 (1 GB) 2022-04-12 23:31:59 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2070000 (1 GB) 2022-04-12 23:32:00 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2071000 (1 GB) 2022-04-12 23:32:00 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2072000 (1 GB) 2022-04-12 23:32:00 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2073000 (1 GB) 2022-04-12 23:32:00 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2074000 (1 GB) 2022-04-12 23:32:01 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2075000 (1 GB) 2022-04-12 23:32:02 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2076000 (1 GB) 2022-04-12 23:32:02 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2077000 (1 GB) 2022-04-12 23:32:02 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2078000 (1 GB) 2022-04-12 23:32:02 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2079000 (1 GB) 2022-04-12 23:32:03 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2080000 (1 GB) 2022-04-12 23:32:03 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2081000 (1 GB) 2022-04-12 23:32:03 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2082000 (1 GB) 2022-04-12 23:32:04 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2083000 (1 GB) 2022-04-12 23:32:04 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2084000 (1 GB) 2022-04-12 23:32:05 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2085000 (1 GB) 2022-04-12 23:32:05 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2086000 (1 GB) 2022-04-12 23:32:05 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2087000 (1 GB) 2022-04-12 23:32:05 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2088000 (1 GB) 2022-04-12 23:32:06 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2089000 (1 GB) 2022-04-12 23:32:06 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2090000 (1 GB) 2022-04-12 23:32:06 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2091000 (1 GB) 2022-04-12 23:32:07 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2092000 (1 GB) 2022-04-12 23:32:07 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2093000 (1 GB) 2022-04-12 23:32:07 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2094000 (1 GB) 2022-04-12 23:32:08 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2095000 (1 GB) 2022-04-12 23:32:08 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2096000 (1 GB) 2022-04-12 23:32:08 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2097000 (1 GB) 2022-04-12 23:32:08 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2098000 (1 GB) 2022-04-12 23:32:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2099000 (1 GB) 2022-04-12 23:32:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2100000 (1 GB) 2022-04-12 23:32:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2101000 (1 GB) 2022-04-12 23:32:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2102000 (1 GB) 2022-04-12 23:32:10 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2103000 (1 GB) 2022-04-12 23:32:11 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2104000 (1 GB) 2022-04-12 23:32:11 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2105000 (1 GB) 2022-04-12 23:32:11 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2106000 (1 GB) 2022-04-12 23:32:12 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2107000 (1 GB) 2022-04-12 23:32:12 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2108000 (1 GB) 2022-04-12 23:32:12 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2109000 (1 GB) 2022-04-12 23:32:12 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2110000 (1 GB) 2022-04-12 23:32:13 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2111000 (1 GB) 2022-04-12 23:32:13 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2112000 (1 GB) 2022-04-12 23:32:13 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2113000 (1 GB) 2022-04-12 23:32:14 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2114000 (1 GB) 2022-04-12 23:32:14 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2115000 (1 GB) 2022-04-12 23:32:14 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2116000 (1 GB) 2022-04-12 23:32:15 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2117000 (1 GB) 2022-04-12 23:32:15 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2118000 (1 GB) 2022-04-12 23:32:15 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2119000 (1 GB) 2022-04-12 23:32:16 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2120000 (1 GB) 2022-04-12 23:32:16 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2121000 (1 GB) 2022-04-12 23:32:16 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2122000 (1 GB) 2022-04-12 23:32:16 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2123000 (1 GB) 2022-04-12 23:32:17 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2124000 (1 GB) 2022-04-12 23:32:17 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2125000 (1 GB) 2022-04-12 23:32:17 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2126000 (1 GB) 2022-04-12 23:32:18 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2127000 (1 GB) 2022-04-12 23:32:18 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2128000 (1 GB) 2022-04-12 23:32:18 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2129000 (1 GB) 2022-04-12 23:32:18 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2130000 (1 GB) 2022-04-12 23:32:19 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2131000 (1 GB) 2022-04-12 23:32:19 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2132000 (1 GB) 2022-04-12 23:32:20 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2133000 (1 GB) 2022-04-12 23:32:20 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2134000 (1 GB) 2022-04-12 23:32:20 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2135000 (1 GB) 2022-04-12 23:32:21 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2136000 (1 GB) 2022-04-12 23:32:21 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2137000 (1 GB) 2022-04-12 23:32:21 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2138000 (1 GB) 2022-04-12 23:32:22 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2139000 (1 GB) 2022-04-12 23:32:22 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2140000 (1 GB) 2022-04-12 23:32:22 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2141000 (1 GB) 2022-04-12 23:32:22 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2142000 (1 GB) 2022-04-12 23:32:23 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2143000 (1 GB) 2022-04-12 23:32:23 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2144000 (1 GB) 2022-04-12 23:32:24 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2145000 (1 GB) 2022-04-12 23:32:24 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2146000 (1 GB) 2022-04-12 23:32:24 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2147000 (1 GB) 2022-04-12 23:32:25 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2148000 (1 GB) 2022-04-12 23:32:25 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2149000 (1 GB) 2022-04-12 23:32:25 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2150000 (1 GB) 2022-04-12 23:32:25 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2151000 (1 GB) 2022-04-12 23:32:26 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2152000 (1 GB) 2022-04-12 23:32:26 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2153000 (1 GB) 2022-04-12 23:32:26 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2154000 (1 GB) 2022-04-12 23:32:27 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2155000 (1 GB) 2022-04-12 23:32:27 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2156000 (1 GB) 2022-04-12 23:32:27 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2157000 (1 GB) 2022-04-12 23:32:27 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2158000 (1 GB) 2022-04-12 23:32:28 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2159000 (1 GB) 2022-04-12 23:32:28 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2160000 (1 GB) 2022-04-12 23:32:28 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2161000 (1 GB) 2022-04-12 23:32:29 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2162000 (1 GB) 2022-04-12 23:32:29 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2163000 (1 GB) 2022-04-12 23:32:29 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2164000 (1 GB) 2022-04-12 23:32:30 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2165000 (1 GB) 2022-04-12 23:32:30 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2166000 (1 GB) 2022-04-12 23:32:30 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2167000 (1 GB) 2022-04-12 23:32:30 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2168000 (1 GB) 2022-04-12 23:32:31 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2169000 (1 GB) 2022-04-12 23:32:31 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2170000 (1 GB) 2022-04-12 23:32:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2171000 (1 GB) 2022-04-12 23:32:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2172000 (1 GB) 2022-04-12 23:32:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2173000 (1 GB) 2022-04-12 23:32:33 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2174000 (1 GB) 2022-04-12 23:32:33 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2175000 (1 GB) 2022-04-12 23:32:33 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2176000 (1 GB) 2022-04-12 23:32:34 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2177000 (1 GB) 2022-04-12 23:32:34 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2178000 (1 GB) 2022-04-12 23:32:34 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2179000 (1 GB) 2022-04-12 23:32:34 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2180000 (1 GB) 2022-04-12 23:32:35 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2181000 (1 GB) 2022-04-12 23:32:35 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2182000 (1 GB) 2022-04-12 23:32:35 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2183000 (1 GB) 2022-04-12 23:32:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2184000 (1 GB) 2022-04-12 23:32:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2185000 (1 GB) 2022-04-12 23:32:37 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2186000 (1 GB) 2022-04-12 23:32:37 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2187000 (1 GB) 2022-04-12 23:32:37 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2188000 (1 GB) 2022-04-12 23:32:37 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2189000 (1 GB) 2022-04-12 23:32:38 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2190000 (1 GB) 2022-04-12 23:32:38 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2191000 (1 GB) 2022-04-12 23:32:38 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2192000 (1 GB) 2022-04-12 23:32:39 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2193000 (1 GB) 2022-04-12 23:32:39 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2194000 (1 GB) 2022-04-12 23:32:39 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2195000 (1 GB) 2022-04-12 23:32:39 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2196000 (1 GB) 2022-04-12 23:32:40 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2197000 (1 GB) 2022-04-12 23:32:40 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2198000 (1 GB) 2022-04-12 23:32:40 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2199000 (1 GB) 2022-04-12 23:32:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2200000 (1 GB) 2022-04-12 23:32:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2201000 (1 GB) 2022-04-12 23:32:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2202000 (1 GB) 2022-04-12 23:32:42 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2203000 (1 GB) 2022-04-12 23:32:42 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2204000 (1 GB) 2022-04-12 23:32:43 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2205000 (1 GB) 2022-04-12 23:32:43 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2206000 (1 GB) 2022-04-12 23:32:43 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2207000 (1 GB) 2022-04-12 23:32:43 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2208000 (1 GB) 2022-04-12 23:32:44 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2209000 (1 GB) 2022-04-12 23:32:44 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2210000 (1 GB) 2022-04-12 23:32:44 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2211000 (1 GB) 2022-04-12 23:32:45 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2212000 (1 GB) 2022-04-12 23:32:45 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2213000 (1 GB) 2022-04-12 23:32:45 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2214000 (1 GB) 2022-04-12 23:32:45 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2215000 (1 GB) 2022-04-12 23:32:46 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2216000 (1 GB) 2022-04-12 23:32:46 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2217000 (1 GB) 2022-04-12 23:32:47 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2218000 (1 GB) 2022-04-12 23:32:47 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2219000 (1 GB) 2022-04-12 23:32:47 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2220000 (1 GB) 2022-04-12 23:32:47 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2221000 (1 GB) 2022-04-12 23:32:47 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2222000 (1 GB) 2022-04-12 23:32:48 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2223000 (1 GB) 2022-04-12 23:32:48 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2224000 (1 GB) 2022-04-12 23:32:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2225000 (1 GB) 2022-04-12 23:32:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2226000 (1 GB) 2022-04-12 23:32:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2227000 (1 GB) 2022-04-12 23:32:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2228000 (1 GB) 2022-04-12 23:32:50 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2229000 (1 GB) 2022-04-12 23:32:50 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2230000 (1 GB) 2022-04-12 23:32:50 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2231000 (1 GB) 2022-04-12 23:32:51 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2232000 (1 GB) 2022-04-12 23:32:51 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2233000 (1 GB) 2022-04-12 23:32:51 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2234000 (1 GB) 2022-04-12 23:32:51 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2235000 (1 GB) 2022-04-12 23:32:52 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2236000 (1 GB) 2022-04-12 23:32:53 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2237000 (1 GB) 2022-04-12 23:32:53 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2238000 (1 GB) 2022-04-12 23:32:53 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2239000 (1 GB) 2022-04-12 23:32:53 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2240000 (1 GB) 2022-04-12 23:32:54 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2241000 (1 GB) 2022-04-12 23:32:54 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2242000 (1 GB) 2022-04-12 23:32:54 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2243000 (1 GB) 2022-04-12 23:32:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2244000 (1 GB) 2022-04-12 23:32:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2245000 (1 GB) 2022-04-12 23:32:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2246000 (1 GB) 2022-04-12 23:32:56 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2247000 (1 GB) 2022-04-12 23:32:56 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2248000 (1 GB) 2022-04-12 23:32:57 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2249000 (1 GB) 2022-04-12 23:32:57 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2250000 (1 GB) 2022-04-12 23:32:57 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2251000 (1 GB) 2022-04-12 23:32:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2252000 (1 GB) 2022-04-12 23:32:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2253000 (1 GB) 2022-04-12 23:32:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2254000 (1 GB) 2022-04-12 23:32:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2255000 (1 GB) 2022-04-12 23:32:59 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2256000 (1 GB) 2022-04-12 23:32:59 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2257000 (1 GB) 2022-04-12 23:32:59 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2258000 (1 GB) 2022-04-12 23:33:00 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2259000 (1 GB) 2022-04-12 23:33:00 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2260000 (1 GB) 2022-04-12 23:33:00 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2261000 (1 GB) 2022-04-12 23:33:00 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2262000 (1 GB) 2022-04-12 23:33:01 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2263000 (1 GB) 2022-04-12 23:33:01 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2264000 (1 GB) 2022-04-12 23:33:01 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2265000 (1 GB) 2022-04-12 23:33:02 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2266000 (1 GB) 2022-04-12 23:33:02 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2267000 (1 GB) 2022-04-12 23:33:02 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2268000 (1 GB) 2022-04-12 23:33:02 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2269000 (1 GB) 2022-04-12 23:33:03 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2270000 (1 GB) 2022-04-12 23:33:03 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2271000 (1 GB) 2022-04-12 23:33:03 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2272000 (1 GB) 2022-04-12 23:33:03 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2273000 (1 GB) 2022-04-12 23:33:04 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2274000 (1 GB) 2022-04-12 23:33:04 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2275000 (1 GB) 2022-04-12 23:33:04 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2276000 (1 GB) 2022-04-12 23:33:04 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2277000 (1 GB) 2022-04-12 23:33:05 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2278000 (1 GB) 2022-04-12 23:33:05 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2279000 (1 GB) 2022-04-12 23:33:05 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2280000 (1 GB) 2022-04-12 23:33:06 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2281000 (1 GB) 2022-04-12 23:33:06 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2282000 (1 GB) 2022-04-12 23:33:06 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2283000 (1 GB) 2022-04-12 23:33:06 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2284000 (1 GB) 2022-04-12 23:33:07 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2285000 (1 GB) 2022-04-12 23:33:07 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2286000 (1 GB) 2022-04-12 23:33:07 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2287000 (1 GB) 2022-04-12 23:33:08 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2288000 (1 GB) 2022-04-12 23:33:08 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2289000 (1 GB) 2022-04-12 23:33:08 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2290000 (1 GB) 2022-04-12 23:33:08 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2291000 (1 GB) 2022-04-12 23:33:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2292000 (1 GB) 2022-04-12 23:33:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2293000 (1 GB) 2022-04-12 23:33:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2294000 (1 GB) 2022-04-12 23:33:10 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2295000 (1 GB) 2022-04-12 23:33:10 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2296000 (1 GB) 2022-04-12 23:33:10 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2297000 (1 GB) 2022-04-12 23:33:11 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2298000 (1 GB) 2022-04-12 23:33:11 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2299000 (1 GB) 2022-04-12 23:33:11 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2300000 (1 GB) 2022-04-12 23:33:12 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2301000 (1 GB) 2022-04-12 23:33:12 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2302000 (1 GB) 2022-04-12 23:33:13 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2303000 (1 GB) 2022-04-12 23:33:13 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2304000 (1 GB) 2022-04-12 23:33:13 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2305000 (1 GB) 2022-04-12 23:33:14 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2306000 (1 GB) 2022-04-12 23:33:14 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2307000 (1 GB) 2022-04-12 23:33:14 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2308000 (1 GB) 2022-04-12 23:33:15 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2309000 (1 GB) 2022-04-12 23:33:15 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2310000 (1 GB) 2022-04-12 23:33:15 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2311000 (1 GB) 2022-04-12 23:33:16 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2312000 (1 GB) 2022-04-12 23:33:16 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2313000 (1 GB) 2022-04-12 23:33:16 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2314000 (1 GB) 2022-04-12 23:33:16 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2315000 (1 GB) 2022-04-12 23:33:17 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2316000 (1 GB) 2022-04-12 23:33:17 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2317000 (1 GB) 2022-04-12 23:33:17 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2318000 (1 GB) 2022-04-12 23:33:18 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2319000 (1 GB) 2022-04-12 23:33:18 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2320000 (1 GB) 2022-04-12 23:33:18 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2321000 (1 GB) 2022-04-12 23:33:18 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2322000 (1 GB) 2022-04-12 23:33:19 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2323000 (1 GB) 2022-04-12 23:33:19 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2324000 (1 GB) 2022-04-12 23:33:20 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2325000 (1 GB) 2022-04-12 23:33:20 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2326000 (1 GB) 2022-04-12 23:33:20 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2327000 (1 GB) 2022-04-12 23:33:21 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2328000 (1 GB) 2022-04-12 23:33:21 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2329000 (1 GB) 2022-04-12 23:33:21 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2330000 (1 GB) 2022-04-12 23:33:21 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2331000 (1 GB) 2022-04-12 23:33:22 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2332000 (1 GB) 2022-04-12 23:33:22 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2333000 (1 GB) 2022-04-12 23:33:22 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2334000 (1 GB) 2022-04-12 23:33:23 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2335000 (1 GB) 2022-04-12 23:33:23 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2336000 (1 GB) 2022-04-12 23:33:23 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2337000 (1 GB) 2022-04-12 23:33:24 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2338000 (1 GB) 2022-04-12 23:33:24 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2339000 (1 GB) 2022-04-12 23:33:24 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2340000 (1 GB) 2022-04-12 23:33:25 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2341000 (1 GB) 2022-04-12 23:33:25 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2342000 (1 GB) 2022-04-12 23:33:25 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2343000 (1 GB) 2022-04-12 23:33:26 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2344000 (1 GB) 2022-04-12 23:33:26 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2345000 (1 GB) 2022-04-12 23:33:26 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2346000 (1 GB) 2022-04-12 23:33:26 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2347000 (1 GB) 2022-04-12 23:33:27 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2348000 (1 GB) 2022-04-12 23:33:27 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2349000 (1 GB) 2022-04-12 23:33:27 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2350000 (1 GB) 2022-04-12 23:33:27 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2351000 (1 GB) 2022-04-12 23:33:28 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2352000 (1 GB) 2022-04-12 23:33:28 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2353000 (1 GB) 2022-04-12 23:33:28 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2354000 (1 GB) 2022-04-12 23:33:29 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2355000 (1 GB) 2022-04-12 23:33:29 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2356000 (1 GB) 2022-04-12 23:33:29 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2357000 (1 GB) 2022-04-12 23:33:30 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2358000 (1 GB) 2022-04-12 23:33:30 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2359000 (1 GB) 2022-04-12 23:33:30 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2360000 (1 GB) 2022-04-12 23:33:30 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2361000 (1 GB) 2022-04-12 23:33:31 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2362000 (1 GB) 2022-04-12 23:33:31 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2363000 (1 GB) 2022-04-12 23:33:31 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2364000 (1 GB) 2022-04-12 23:33:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2365000 (1 GB) 2022-04-12 23:33:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2366000 (1 GB) 2022-04-12 23:33:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2367000 (1 GB) 2022-04-12 23:33:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2368000 (1 GB) 2022-04-12 23:33:33 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2369000 (1 GB) 2022-04-12 23:33:33 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2370000 (1 GB) 2022-04-12 23:33:33 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2371000 (1 GB) 2022-04-12 23:33:34 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2372000 (1 GB) 2022-04-12 23:33:34 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2373000 (1 GB) 2022-04-12 23:33:34 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2374000 (1 GB) 2022-04-12 23:33:35 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2375000 (1 GB) 2022-04-12 23:33:35 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2376000 (1 GB) 2022-04-12 23:33:35 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2377000 (1 GB) 2022-04-12 23:33:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2378000 (1 GB) 2022-04-12 23:33:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2379000 (1 GB) 2022-04-12 23:33:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2380000 (1 GB) 2022-04-12 23:33:37 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2381000 (1 GB) 2022-04-12 23:33:37 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2382000 (1 GB) 2022-04-12 23:33:37 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2383000 (1 GB) 2022-04-12 23:33:37 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2384000 (1 GB) 2022-04-12 23:33:38 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2385000 (1 GB) 2022-04-12 23:33:38 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2386000 (1 GB) 2022-04-12 23:33:38 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2387000 (1 GB) 2022-04-12 23:33:39 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2388000 (1 GB) 2022-04-12 23:33:39 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2389000 (1 GB) 2022-04-12 23:33:39 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2390000 (1 GB) 2022-04-12 23:33:40 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2391000 (1 GB) 2022-04-12 23:33:40 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2392000 (1 GB) 2022-04-12 23:33:40 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2393000 (1 GB) 2022-04-12 23:33:40 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2394000 (1 GB) 2022-04-12 23:33:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2395000 (1 GB) 2022-04-12 23:33:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2396000 (1 GB) 2022-04-12 23:33:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2397000 (1 GB) 2022-04-12 23:33:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2398000 (1 GB) 2022-04-12 23:33:42 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2399000 (1 GB) 2022-04-12 23:33:42 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2400000 (1 GB) 2022-04-12 23:33:42 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2401000 (1 GB) 2022-04-12 23:33:43 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2402000 (1 GB) 2022-04-12 23:33:43 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2403000 (1 GB) 2022-04-12 23:33:43 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2404000 (1 GB) 2022-04-12 23:33:43 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2405000 (1 GB) 2022-04-12 23:33:44 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2406000 (1 GB) 2022-04-12 23:33:44 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2407000 (1 GB) 2022-04-12 23:33:45 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2408000 (1 GB) 2022-04-12 23:33:45 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2409000 (1 GB) 2022-04-12 23:33:45 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2410000 (1 GB) 2022-04-12 23:33:45 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2411000 (1 GB) 2022-04-12 23:33:46 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2412000 (1 GB) 2022-04-12 23:33:46 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2413000 (1 GB) 2022-04-12 23:33:46 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2414000 (1 GB) 2022-04-12 23:33:47 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2415000 (1 GB) 2022-04-12 23:33:47 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2416000 (1 GB) 2022-04-12 23:33:47 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2417000 (1 GB) 2022-04-12 23:33:47 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2418000 (1 GB) 2022-04-12 23:33:48 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2419000 (1 GB) 2022-04-12 23:33:48 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2420000 (1 GB) 2022-04-12 23:33:48 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2421000 (1 GB) 2022-04-12 23:33:48 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2422000 (1 GB) 2022-04-12 23:33:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2423000 (1 GB) 2022-04-12 23:33:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2424000 (1 GB) 2022-04-12 23:33:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2425000 (1 GB) 2022-04-12 23:33:50 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2426000 (1 GB) 2022-04-12 23:33:50 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2427000 (1 GB) 2022-04-12 23:33:50 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2428000 (1 GB) 2022-04-12 23:33:51 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2429000 (1 GB) 2022-04-12 23:33:51 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2430000 (1 GB) 2022-04-12 23:33:51 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2431000 (1 GB) 2022-04-12 23:33:51 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2432000 (1 GB) 2022-04-12 23:33:52 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2433000 (1 GB) 2022-04-12 23:33:52 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2434000 (1 GB) 2022-04-12 23:33:52 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2435000 (1 GB) 2022-04-12 23:33:53 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2436000 (1 GB) 2022-04-12 23:33:53 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2437000 (1 GB) 2022-04-12 23:33:53 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2438000 (1 GB) 2022-04-12 23:33:54 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2439000 (1 GB) 2022-04-12 23:33:54 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2440000 (1 GB) 2022-04-12 23:33:54 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2441000 (1 GB) 2022-04-12 23:33:54 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2442000 (1 GB) 2022-04-12 23:33:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2443000 (1 GB) 2022-04-12 23:33:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2444000 (1 GB) 2022-04-12 23:33:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2445000 (1 GB) 2022-04-12 23:33:56 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2446000 (1 GB) 2022-04-12 23:33:56 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2447000 (1 GB) 2022-04-12 23:33:57 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2448000 (1 GB) 2022-04-12 23:33:57 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2449000 (1 GB) 2022-04-12 23:33:57 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2450000 (1 GB) 2022-04-12 23:33:57 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2451000 (1 GB) 2022-04-12 23:33:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2452000 (1 GB) 2022-04-12 23:33:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2453000 (1 GB) 2022-04-12 23:33:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2454000 (1 GB) 2022-04-12 23:33:59 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2455000 (1 GB) 2022-04-12 23:33:59 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2456000 (1 GB) 2022-04-12 23:33:59 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2457000 (1 GB) 2022-04-12 23:33:59 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2458000 (1 GB) 2022-04-12 23:34:00 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2459000 (1 GB) 2022-04-12 23:34:00 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2460000 (1 GB) 2022-04-12 23:34:00 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2461000 (1 GB) 2022-04-12 23:34:01 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2462000 (1 GB) 2022-04-12 23:34:01 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2463000 (1 GB) 2022-04-12 23:34:02 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2464000 (1 GB) 2022-04-12 23:34:02 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2465000 (1 GB) 2022-04-12 23:34:02 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2466000 (1 GB) 2022-04-12 23:34:02 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2467000 (1 GB) 2022-04-12 23:34:03 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2468000 (1 GB) 2022-04-12 23:34:03 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2469000 (1 GB) 2022-04-12 23:34:04 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2470000 (1 GB) 2022-04-12 23:34:04 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2471000 (1 GB) 2022-04-12 23:34:04 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2472000 (1 GB) 2022-04-12 23:34:04 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2473000 (1 GB) 2022-04-12 23:34:05 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2474000 (1 GB) 2022-04-12 23:34:05 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2475000 (1 GB) 2022-04-12 23:34:06 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2476000 (1 GB) 2022-04-12 23:34:06 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2477000 (1 GB) 2022-04-12 23:34:07 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2478000 (1 GB) 2022-04-12 23:34:07 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2479000 (1 GB) 2022-04-12 23:34:07 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2480000 (1 GB) 2022-04-12 23:34:07 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2481000 (1 GB) 2022-04-12 23:34:08 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2482000 (1 GB) 2022-04-12 23:34:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2483000 (1 GB) 2022-04-12 23:34:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2484000 (1 GB) 2022-04-12 23:34:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2485000 (1 GB) 2022-04-12 23:34:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2486000 (1 GB) 2022-04-12 23:34:10 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2487000 (1 GB) 2022-04-12 23:34:10 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2488000 (1 GB) 2022-04-12 23:34:10 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2489000 (1 GB) 2022-04-12 23:34:11 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2490000 (1 GB) 2022-04-12 23:34:11 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2491000 (1 GB) 2022-04-12 23:34:11 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2492000 (1 GB) 2022-04-12 23:34:12 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2493000 (1 GB) 2022-04-12 23:34:12 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2494000 (1 GB) 2022-04-12 23:34:12 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2495000 (1 GB) 2022-04-12 23:34:12 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2496000 (1 GB) 2022-04-12 23:34:13 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2497000 (1 GB) 2022-04-12 23:34:13 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2498000 (1 GB) 2022-04-12 23:34:13 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2499000 (1 GB) 2022-04-12 23:34:14 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2500000 (1 GB) 2022-04-12 23:34:14 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2501000 (1 GB) 2022-04-12 23:34:14 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2502000 (1 GB) 2022-04-12 23:34:15 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2503000 (1 GB) 2022-04-12 23:34:15 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2504000 (1 GB) 2022-04-12 23:34:15 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2505000 (1 GB) 2022-04-12 23:34:16 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2506000 (1 GB) 2022-04-12 23:34:16 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2507000 (1 GB) 2022-04-12 23:34:16 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2508000 (1 GB) 2022-04-12 23:34:16 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2509000 (1 GB) 2022-04-12 23:34:17 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2510000 (1 GB) 2022-04-12 23:34:17 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2511000 (1 GB) 2022-04-12 23:34:17 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2512000 (1 GB) 2022-04-12 23:34:18 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2513000 (1 GB) 2022-04-12 23:34:18 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2514000 (1 GB) 2022-04-12 23:34:18 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2515000 (1 GB) 2022-04-12 23:34:18 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2516000 (1 GB) 2022-04-12 23:34:19 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2517000 (1 GB) 2022-04-12 23:34:19 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2518000 (1 GB) 2022-04-12 23:34:19 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2519000 (1 GB) 2022-04-12 23:34:20 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2520000 (1 GB) 2022-04-12 23:34:20 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2521000 (1 GB) 2022-04-12 23:34:20 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2522000 (1 GB) 2022-04-12 23:34:21 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2523000 (1 GB) 2022-04-12 23:34:21 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2524000 (1 GB) 2022-04-12 23:34:21 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2525000 (1 GB) 2022-04-12 23:34:21 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2526000 (1 GB) 2022-04-12 23:34:22 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2527000 (1 GB) 2022-04-12 23:34:22 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2528000 (1 GB) 2022-04-12 23:34:22 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2529000 (1 GB) 2022-04-12 23:34:23 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2530000 (1 GB) 2022-04-12 23:34:23 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2531000 (1 GB) 2022-04-12 23:34:23 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2532000 (1 GB) 2022-04-12 23:34:24 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2533000 (1 GB) 2022-04-12 23:34:24 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2534000 (1 GB) 2022-04-12 23:34:24 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2535000 (1 GB) 2022-04-12 23:34:24 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2536000 (1 GB) 2022-04-12 23:34:25 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2537000 (1 GB) 2022-04-12 23:34:25 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2538000 (1 GB) 2022-04-12 23:34:25 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2539000 (1 GB) 2022-04-12 23:34:26 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2540000 (1 GB) 2022-04-12 23:34:26 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2541000 (1 GB) 2022-04-12 23:34:26 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2542000 (1 GB) 2022-04-12 23:34:27 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2543000 (1 GB) 2022-04-12 23:34:27 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2544000 (1 GB) 2022-04-12 23:34:27 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2545000 (1 GB) 2022-04-12 23:34:27 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2546000 (1 GB) 2022-04-12 23:34:28 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2547000 (1 GB) 2022-04-12 23:34:28 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2548000 (1 GB) 2022-04-12 23:34:28 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2549000 (1 GB) 2022-04-12 23:34:29 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2550000 (1 GB) 2022-04-12 23:34:29 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2551000 (1 GB) 2022-04-12 23:34:29 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2552000 (1 GB) 2022-04-12 23:34:29 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2553000 (1 GB) 2022-04-12 23:34:31 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2554000 (1 GB) 2022-04-12 23:34:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2555000 (1 GB) 2022-04-12 23:34:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2556000 (1 GB) 2022-04-12 23:34:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2557000 (1 GB) 2022-04-12 23:34:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2558000 (1 GB) 2022-04-12 23:34:33 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2559000 (1 GB) 2022-04-12 23:34:33 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2560000 (1 GB) 2022-04-12 23:34:33 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2561000 (1 GB) 2022-04-12 23:34:34 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2562000 (1 GB) 2022-04-12 23:34:23 destination > 2022-04-12 23:34:23 INFO i.a.i.d.r.SerializedBufferingStrategy(flushWriter):82 - Flushing buffer of stream contacts_list_memberships (200 MB) 2022-04-12 23:34:23 destination > 2022-04-12 23:34:23 INFO i.a.i.d.b.BigQueryStagingConsumerFactory(lambda$flushBufferFunction$4):115 - Flushing buffer for stream contacts_list_memberships (200 MB) to staging 2022-04-12 23:34:23 destination > 2022-04-12 23:34:23 INFO i.a.i.d.r.BaseSerializedBuffer(flush):138 - Finished writing data to 34fc395c-df8e-4d39-b2cc-4bd27aff676011235882702033274073.avro (200 MB) 2022-04-12 23:34:23 destination > 2022-04-12 23:34:23 INFO i.a.i.d.b.BigQueryGcsOperations(uploadRecordsToStage):108 - Uploading records to staging for stream contacts_list_memberships (dataset hubspot_): product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-12 23:34:23 destination > 2022-04-12 23:34:23 INFO i.a.i.d.s.u.StreamTransferManagerHelper(getDefault):55 - PartSize arg is set to 5 MB 2022-04-12 23:34:23 destination > 2022-04-12 23:34:23 INFO a.m.s.StreamTransferManager(getMultiPartOutputStreams):329 - Initiated multipart upload to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with full ID ABPnzm7PYzpC_ZrrTY6PYahE8zEU0_mVlELcLwlAU6lDq4lB69C_Xq2hg_9VWVLtC-F3oM-j 2022-04-12 23:34:24 destination > 2022-04-12 23:34:24 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm7PY...tC-F3oM-j]: Finished uploading [Part number 1 containing 5.01 MB] 2022-04-12 23:34:24 destination > 2022-04-12 23:34:24 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm7PY...tC-F3oM-j]: Finished uploading [Part number 2 containing 5.01 MB] 2022-04-12 23:34:24 destination > 2022-04-12 23:34:24 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm7PY...tC-F3oM-j]: Finished uploading [Part number 3 containing 5.01 MB] 2022-04-12 23:34:24 destination > 2022-04-12 23:34:24 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm7PY...tC-F3oM-j]: Finished uploading [Part number 4 containing 5.01 MB] 2022-04-12 23:34:24 destination > 2022-04-12 23:34:24 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm7PY...tC-F3oM-j]: Finished uploading [Part number 5 containing 5.01 MB] 2022-04-12 23:34:24 destination > 2022-04-12 23:34:24 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm7PY...tC-F3oM-j]: Finished uploading [Part number 7 containing 5.01 MB] 2022-04-12 23:34:24 destination > 2022-04-12 23:34:24 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm7PY...tC-F3oM-j]: Finished uploading [Part number 6 containing 5.01 MB] 2022-04-12 23:34:24 destination > 2022-04-12 23:34:24 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm7PY...tC-F3oM-j]: Finished uploading [Part number 9 containing 5.01 MB] 2022-04-12 23:34:24 destination > 2022-04-12 23:34:24 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm7PY...tC-F3oM-j]: Finished uploading [Part number 10 containing 5.01 MB] 2022-04-12 23:34:24 destination > 2022-04-12 23:34:24 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm7PY...tC-F3oM-j]: Finished uploading [Part number 8 containing 5.01 MB] 2022-04-12 23:34:24 destination > 2022-04-12 23:34:24 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm7PY...tC-F3oM-j]: Finished uploading [Part number 11 containing 5.01 MB] 2022-04-12 23:34:24 destination > 2022-04-12 23:34:24 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm7PY...tC-F3oM-j]: Finished uploading [Part number 12 containing 5.01 MB] 2022-04-12 23:34:24 destination > 2022-04-12 23:34:24 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm7PY...tC-F3oM-j]: Finished uploading [Part number 14 containing 5.01 MB] 2022-04-12 23:34:24 destination > 2022-04-12 23:34:24 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm7PY...tC-F3oM-j]: Finished uploading [Part number 15 containing 5.01 MB] 2022-04-12 23:34:24 destination > 2022-04-12 23:34:24 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm7PY...tC-F3oM-j]: Finished uploading [Part number 13 containing 5.01 MB] 2022-04-12 23:34:24 destination > 2022-04-12 23:34:24 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm7PY...tC-F3oM-j]: Finished uploading [Part number 16 containing 5.01 MB] 2022-04-12 23:34:24 destination > 2022-04-12 23:34:24 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm7PY...tC-F3oM-j]: Finished uploading [Part number 17 containing 5.01 MB] 2022-04-12 23:34:24 destination > 2022-04-12 23:34:24 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm7PY...tC-F3oM-j]: Finished uploading [Part number 19 containing 5.01 MB] 2022-04-12 23:34:24 destination > 2022-04-12 23:34:24 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm7PY...tC-F3oM-j]: Finished uploading [Part number 22 containing 5.01 MB] 2022-04-12 23:34:24 destination > 2022-04-12 23:34:24 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm7PY...tC-F3oM-j]: Finished uploading [Part number 20 containing 5.01 MB] 2022-04-12 23:34:24 destination > 2022-04-12 23:34:24 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm7PY...tC-F3oM-j]: Finished uploading [Part number 18 containing 5.01 MB] 2022-04-12 23:34:24 destination > 2022-04-12 23:34:24 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm7PY...tC-F3oM-j]: Finished uploading [Part number 21 containing 5.01 MB] 2022-04-12 23:34:24 destination > 2022-04-12 23:34:24 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm7PY...tC-F3oM-j]: Finished uploading [Part number 26 containing 5.01 MB] 2022-04-12 23:34:24 destination > 2022-04-12 23:34:24 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm7PY...tC-F3oM-j]: Finished uploading [Part number 27 containing 5.01 MB] 2022-04-12 23:34:24 destination > 2022-04-12 23:34:24 INFO a.m.s.MultiPartOutputStream(close):158 - Called close() on [MultipartOutputStream for parts 1 - 10000] 2022-04-12 23:34:24 destination > 2022-04-12 23:34:24 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm7PY...tC-F3oM-j]: Finished uploading [Part number 23 containing 5.01 MB] 2022-04-12 23:34:24 destination > 2022-04-12 23:34:24 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm7PY...tC-F3oM-j]: Finished uploading [Part number 25 containing 5.01 MB] 2022-04-12 23:34:24 destination > 2022-04-12 23:34:24 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm7PY...tC-F3oM-j]: Finished uploading [Part number 30 containing 5.01 MB] 2022-04-12 23:34:24 destination > 2022-04-12 23:34:24 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm7PY...tC-F3oM-j]: Finished uploading [Part number 28 containing 5.01 MB] 2022-04-12 23:34:24 destination > 2022-04-12 23:34:24 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm7PY...tC-F3oM-j]: Finished uploading [Part number 32 containing 5.01 MB] 2022-04-12 23:34:24 destination > 2022-04-12 23:34:24 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm7PY...tC-F3oM-j]: Finished uploading [Part number 29 containing 5.01 MB] 2022-04-12 23:34:24 destination > 2022-04-12 23:34:24 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm7PY...tC-F3oM-j]: Finished uploading [Part number 31 containing 5.01 MB] 2022-04-12 23:34:24 destination > 2022-04-12 23:34:24 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm7PY...tC-F3oM-j]: Finished uploading [Part number 24 containing 5.01 MB] 2022-04-12 23:34:24 destination > 2022-04-12 23:34:24 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm7PY...tC-F3oM-j]: Finished uploading [Part number 34 containing 5.01 MB] 2022-04-12 23:34:24 destination > 2022-04-12 23:34:24 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm7PY...tC-F3oM-j]: Finished uploading [Part number 33 containing 5.01 MB] 2022-04-12 23:34:24 destination > 2022-04-12 23:34:24 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm7PY...tC-F3oM-j]: Finished uploading [Part number 36 containing 5.01 MB] 2022-04-12 23:34:24 destination > 2022-04-12 23:34:24 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm7PY...tC-F3oM-j]: Finished uploading [Part number 35 containing 5.01 MB] 2022-04-12 23:34:24 destination > 2022-04-12 23:34:24 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm7PY...tC-F3oM-j]: Finished uploading [Part number 37 containing 5.01 MB] 2022-04-12 23:34:24 destination > 2022-04-12 23:34:24 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm7PY...tC-F3oM-j]: Finished uploading [Part number 38 containing 5.01 MB] 2022-04-12 23:34:24 destination > 2022-04-12 23:34:24 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm7PY...tC-F3oM-j]: Finished uploading [Part number 39 containing 9.72 MB] 2022-04-12 23:34:24 destination > 2022-04-12 23:34:24 INFO a.m.s.StreamTransferManager(complete):395 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm7PY...tC-F3oM-j]: Completed 2022-04-12 23:34:25 destination > 2022-04-12 23:34:25 INFO i.a.i.d.s.S3StorageOperations(loadDataIntoBucket):161 - Uploaded buffer file to storage: 34fc395c-df8e-4d39-b2cc-4bd27aff676011235882702033274073.avro -> product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro (filename: 2.avro) 2022-04-12 23:34:25 destination > 2022-04-12 23:34:25 INFO i.a.i.d.b.BigQueryWriteConfig(addStagedFile):53 - Added staged file: 2.avro 2022-04-12 23:34:25 destination > 2022-04-12 23:34:25 INFO i.a.i.d.r.FileBuffer(deleteFile):81 - Deleting tempFile data 34fc395c-df8e-4d39-b2cc-4bd27aff676011235882702033274073.avro 2022-04-12 23:34:25 destination > 2022-04-12 23:34:25 INFO i.a.i.d.r.SerializedBufferingStrategy(lambda$addRecord$0):55 - Starting a new buffer for stream contacts_list_memberships (current state: 119 MB in 4 buffers) 2022-04-12 23:34:25 destination > 2022-04-12 23:34:25 INFO i.a.i.d.g.u.GcsUtils(getDefaultAvroSchema):25 - Default schema. 2022-04-12 23:34:34 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2563000 (1 GB) 2022-04-12 23:34:34 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2564000 (1 GB) 2022-04-12 23:34:35 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2565000 (1 GB) 2022-04-12 23:34:35 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2566000 (1 GB) 2022-04-12 23:34:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2567000 (1 GB) 2022-04-12 23:34:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2568000 (1 GB) 2022-04-12 23:34:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2569000 (1 GB) 2022-04-12 23:34:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2570000 (1 GB) 2022-04-12 23:34:37 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2571000 (1 GB) 2022-04-12 23:34:37 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2572000 (1 GB) 2022-04-12 23:34:37 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2573000 (1 GB) 2022-04-12 23:34:38 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2574000 (1 GB) 2022-04-12 23:34:38 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2575000 (1 GB) 2022-04-12 23:34:38 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2576000 (1 GB) 2022-04-12 23:34:38 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2577000 (1 GB) 2022-04-12 23:34:39 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2578000 (1 GB) 2022-04-12 23:34:39 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2579000 (1 GB) 2022-04-12 23:34:39 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2580000 (1 GB) 2022-04-12 23:34:40 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2581000 (1 GB) 2022-04-12 23:34:40 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2582000 (1 GB) 2022-04-12 23:34:40 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2583000 (1 GB) 2022-04-12 23:34:40 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2584000 (1 GB) 2022-04-12 23:34:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2585000 (1 GB) 2022-04-12 23:34:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2586000 (1 GB) 2022-04-12 23:34:42 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2587000 (1 GB) 2022-04-12 23:34:42 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2588000 (1 GB) 2022-04-12 23:34:42 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2589000 (1 GB) 2022-04-12 23:34:43 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2590000 (1 GB) 2022-04-12 23:34:43 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2591000 (1 GB) 2022-04-12 23:34:43 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2592000 (1 GB) 2022-04-12 23:34:44 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2593000 (1 GB) 2022-04-12 23:34:44 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2594000 (1 GB) 2022-04-12 23:34:44 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2595000 (1 GB) 2022-04-12 23:34:44 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2596000 (1 GB) 2022-04-12 23:34:45 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2597000 (1 GB) 2022-04-12 23:34:45 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2598000 (1 GB) 2022-04-12 23:34:46 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2599000 (1 GB) 2022-04-12 23:34:46 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2600000 (1 GB) 2022-04-12 23:34:46 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2601000 (1 GB) 2022-04-12 23:34:46 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2602000 (1 GB) 2022-04-12 23:34:47 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2603000 (1 GB) 2022-04-12 23:34:47 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2604000 (1 GB) 2022-04-12 23:34:47 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2605000 (1 GB) 2022-04-12 23:34:48 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2606000 (1 GB) 2022-04-12 23:34:48 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2607000 (1 GB) 2022-04-12 23:34:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2608000 (1 GB) 2022-04-12 23:34:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2609000 (1 GB) 2022-04-12 23:34:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2610000 (1 GB) 2022-04-12 23:34:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2611000 (1 GB) 2022-04-12 23:34:50 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2612000 (1 GB) 2022-04-12 23:34:50 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2613000 (1 GB) 2022-04-12 23:34:50 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2614000 (1 GB) 2022-04-12 23:34:51 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2615000 (1 GB) 2022-04-12 23:34:51 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2616000 (1 GB) 2022-04-12 23:34:51 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2617000 (1 GB) 2022-04-12 23:34:51 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2618000 (1 GB) 2022-04-12 23:34:52 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2619000 (1 GB) 2022-04-12 23:34:52 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2620000 (1 GB) 2022-04-12 23:34:52 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2621000 (1 GB) 2022-04-12 23:34:53 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2622000 (1 GB) 2022-04-12 23:34:53 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2623000 (1 GB) 2022-04-12 23:34:53 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2624000 (1 GB) 2022-04-12 23:34:54 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2625000 (1 GB) 2022-04-12 23:34:54 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2626000 (1 GB) 2022-04-12 23:34:54 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2627000 (1 GB) 2022-04-12 23:34:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2628000 (1 GB) 2022-04-12 23:34:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2629000 (1 GB) 2022-04-12 23:34:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2630000 (1 GB) 2022-04-12 23:34:56 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2631000 (1 GB) 2022-04-12 23:34:56 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2632000 (1 GB) 2022-04-12 23:34:57 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2633000 (1 GB) 2022-04-12 23:34:57 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2634000 (1 GB) 2022-04-12 23:34:57 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2635000 (1 GB) 2022-04-12 23:34:57 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2636000 (1 GB) 2022-04-12 23:34:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2637000 (1 GB) 2022-04-12 23:34:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2638000 (1 GB) 2022-04-12 23:34:59 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2639000 (1 GB) 2022-04-12 23:34:59 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2640000 (1 GB) 2022-04-12 23:34:59 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2641000 (1 GB) 2022-04-12 23:34:59 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2642000 (1 GB) 2022-04-12 23:35:00 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2643000 (1 GB) 2022-04-12 23:35:00 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2644000 (1 GB) 2022-04-12 23:35:01 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2645000 (1 GB) 2022-04-12 23:35:01 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2646000 (1 GB) 2022-04-12 23:35:01 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2647000 (1 GB) 2022-04-12 23:35:02 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2648000 (1 GB) 2022-04-12 23:35:02 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2649000 (1 GB) 2022-04-12 23:35:02 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2650000 (1 GB) 2022-04-12 23:35:02 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2651000 (1 GB) 2022-04-12 23:35:03 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2652000 (1 GB) 2022-04-12 23:35:03 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2653000 (1 GB) 2022-04-12 23:35:03 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2654000 (1 GB) 2022-04-12 23:35:03 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2655000 (1 GB) 2022-04-12 23:35:04 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2656000 (1 GB) 2022-04-12 23:35:04 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2657000 (1 GB) 2022-04-12 23:35:04 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2658000 (1 GB) 2022-04-12 23:35:05 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2659000 (1 GB) 2022-04-12 23:35:05 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2660000 (1 GB) 2022-04-12 23:35:05 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2661000 (1 GB) 2022-04-12 23:35:06 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2662000 (1 GB) 2022-04-12 23:35:06 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2663000 (1 GB) 2022-04-12 23:35:06 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2664000 (1 GB) 2022-04-12 23:35:07 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2665000 (1 GB) 2022-04-12 23:35:07 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2666000 (1 GB) 2022-04-12 23:35:07 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2667000 (1 GB) 2022-04-12 23:35:08 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2668000 (1 GB) 2022-04-12 23:35:08 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2669000 (1 GB) 2022-04-12 23:35:08 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2670000 (1 GB) 2022-04-12 23:35:08 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2671000 (1 GB) 2022-04-12 23:35:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2672000 (1 GB) 2022-04-12 23:35:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2673000 (1 GB) 2022-04-12 23:35:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2674000 (1 GB) 2022-04-12 23:35:10 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2675000 (1 GB) 2022-04-12 23:35:10 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2676000 (1 GB) 2022-04-12 23:35:10 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2677000 (1 GB) 2022-04-12 23:35:11 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2678000 (1 GB) 2022-04-12 23:35:11 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2679000 (1 GB) 2022-04-12 23:35:12 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2680000 (1 GB) 2022-04-12 23:35:12 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2681000 (1 GB) 2022-04-12 23:35:12 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2682000 (1 GB) 2022-04-12 23:35:12 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2683000 (1 GB) 2022-04-12 23:35:13 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2684000 (1 GB) 2022-04-12 23:35:13 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2685000 (1 GB) 2022-04-12 23:35:13 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2686000 (1 GB) 2022-04-12 23:35:14 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2687000 (1 GB) 2022-04-12 23:35:14 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2688000 (1 GB) 2022-04-12 23:35:14 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2689000 (1 GB) 2022-04-12 23:35:15 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2690000 (1 GB) 2022-04-12 23:35:15 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2691000 (1 GB) 2022-04-12 23:35:15 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2692000 (1 GB) 2022-04-12 23:35:16 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2693000 (1 GB) 2022-04-12 23:35:16 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2694000 (1 GB) 2022-04-12 23:35:16 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2695000 (1 GB) 2022-04-12 23:35:17 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2696000 (1 GB) 2022-04-12 23:35:17 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2697000 (1 GB) 2022-04-12 23:35:17 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2698000 (1 GB) 2022-04-12 23:35:18 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2699000 (1 GB) 2022-04-12 23:35:18 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2700000 (1 GB) 2022-04-12 23:35:18 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2701000 (1 GB) 2022-04-12 23:35:19 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2702000 (1 GB) 2022-04-12 23:35:19 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2703000 (1 GB) 2022-04-12 23:35:20 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2704000 (1 GB) 2022-04-12 23:35:20 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2705000 (1 GB) 2022-04-12 23:35:20 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2706000 (1 GB) 2022-04-12 23:35:20 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2707000 (1 GB) 2022-04-12 23:35:21 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2708000 (1 GB) 2022-04-12 23:35:21 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2709000 (1 GB) 2022-04-12 23:35:21 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2710000 (1 GB) 2022-04-12 23:35:22 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2711000 (1 GB) 2022-04-12 23:35:22 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2712000 (1 GB) 2022-04-12 23:35:22 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2713000 (1 GB) 2022-04-12 23:35:22 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2714000 (1 GB) 2022-04-12 23:35:23 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2715000 (1 GB) 2022-04-12 23:35:23 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2716000 (1 GB) 2022-04-12 23:35:24 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2717000 (1 GB) 2022-04-12 23:35:24 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2718000 (1 GB) 2022-04-12 23:35:24 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2719000 (1 GB) 2022-04-12 23:35:25 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2720000 (1 GB) 2022-04-12 23:35:25 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2721000 (1 GB) 2022-04-12 23:35:25 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2722000 (1 GB) 2022-04-12 23:35:26 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2723000 (1 GB) 2022-04-12 23:35:26 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2724000 (1 GB) 2022-04-12 23:35:26 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2725000 (1 GB) 2022-04-12 23:35:26 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2726000 (1 GB) 2022-04-12 23:35:27 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2727000 (1 GB) 2022-04-12 23:35:27 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2728000 (1 GB) 2022-04-12 23:35:27 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2729000 (1 GB) 2022-04-12 23:35:27 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2730000 (1 GB) 2022-04-12 23:35:28 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2731000 (1 GB) 2022-04-12 23:35:28 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2732000 (1 GB) 2022-04-12 23:35:28 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2733000 (1 GB) 2022-04-12 23:35:29 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2734000 (1 GB) 2022-04-12 23:35:29 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2735000 (1 GB) 2022-04-12 23:35:29 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2736000 (1 GB) 2022-04-12 23:35:30 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2737000 (1 GB) 2022-04-12 23:35:30 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2738000 (1 GB) 2022-04-12 23:35:30 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2739000 (1 GB) 2022-04-12 23:35:31 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2740000 (1 GB) 2022-04-12 23:35:31 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2741000 (1 GB) 2022-04-12 23:35:31 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2742000 (1 GB) 2022-04-12 23:35:31 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2743000 (1 GB) 2022-04-12 23:35:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2744000 (1 GB) 2022-04-12 23:35:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2745000 (1 GB) 2022-04-12 23:35:33 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2746000 (1 GB) 2022-04-12 23:35:33 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2747000 (1 GB) 2022-04-12 23:35:33 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2748000 (1 GB) 2022-04-12 23:35:33 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2749000 (1 GB) 2022-04-12 23:35:34 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2750000 (1 GB) 2022-04-12 23:35:34 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2751000 (1 GB) 2022-04-12 23:35:34 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2752000 (1 GB) 2022-04-12 23:35:34 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2753000 (1 GB) 2022-04-12 23:35:35 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2754000 (1 GB) 2022-04-12 23:35:35 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2755000 (1 GB) 2022-04-12 23:35:35 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2756000 (1 GB) 2022-04-12 23:35:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2757000 (1 GB) 2022-04-12 23:35:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2758000 (1 GB) 2022-04-12 23:35:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2759000 (1 GB) 2022-04-12 23:35:37 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2760000 (1 GB) 2022-04-12 23:35:37 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2761000 (1 GB) 2022-04-12 23:35:37 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2762000 (1 GB) 2022-04-12 23:35:38 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2763000 (1 GB) 2022-04-12 23:35:38 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2764000 (1 GB) 2022-04-12 23:35:38 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2765000 (1 GB) 2022-04-12 23:35:38 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2766000 (1 GB) 2022-04-12 23:35:39 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2767000 (1 GB) 2022-04-12 23:35:39 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2768000 (1 GB) 2022-04-12 23:35:39 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2769000 (1 GB) 2022-04-12 23:35:40 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2770000 (1 GB) 2022-04-12 23:35:40 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2771000 (1 GB) 2022-04-12 23:35:40 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2772000 (1 GB) 2022-04-12 23:35:40 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2773000 (1 GB) 2022-04-12 23:35:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2774000 (1 GB) 2022-04-12 23:35:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2775000 (1 GB) 2022-04-12 23:35:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2776000 (1 GB) 2022-04-12 23:35:42 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2777000 (1 GB) 2022-04-12 23:35:42 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2778000 (1 GB) 2022-04-12 23:35:42 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2779000 (1 GB) 2022-04-12 23:35:43 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2780000 (1 GB) 2022-04-12 23:35:43 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2781000 (1 GB) 2022-04-12 23:35:43 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2782000 (1 GB) 2022-04-12 23:35:44 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2783000 (1 GB) 2022-04-12 23:35:44 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2784000 (1 GB) 2022-04-12 23:35:44 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2785000 (1 GB) 2022-04-12 23:35:44 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2786000 (1 GB) 2022-04-12 23:35:45 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2787000 (1 GB) 2022-04-12 23:35:45 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2788000 (1 GB) 2022-04-12 23:35:45 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2789000 (1 GB) 2022-04-12 23:35:46 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2790000 (1 GB) 2022-04-12 23:35:46 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2791000 (1 GB) 2022-04-12 23:35:46 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2792000 (1 GB) 2022-04-12 23:35:47 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2793000 (1 GB) 2022-04-12 23:35:47 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2794000 (1 GB) 2022-04-12 23:35:47 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2795000 (1 GB) 2022-04-12 23:35:47 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2796000 (1 GB) 2022-04-12 23:35:48 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2797000 (1 GB) 2022-04-12 23:35:48 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2798000 (1 GB) 2022-04-12 23:35:48 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2799000 (1 GB) 2022-04-12 23:35:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2800000 (1 GB) 2022-04-12 23:35:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2801000 (1 GB) 2022-04-12 23:35:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2802000 (1 GB) 2022-04-12 23:35:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2803000 (1 GB) 2022-04-12 23:35:50 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2804000 (1 GB) 2022-04-12 23:35:50 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2805000 (1 GB) 2022-04-12 23:35:50 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2806000 (1 GB) 2022-04-12 23:35:51 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2807000 (1 GB) 2022-04-12 23:35:51 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2808000 (1 GB) 2022-04-12 23:35:51 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2809000 (1 GB) 2022-04-12 23:35:52 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2810000 (1 GB) 2022-04-12 23:35:52 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2811000 (1 GB) 2022-04-12 23:35:52 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2812000 (1 GB) 2022-04-12 23:35:53 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2813000 (1 GB) 2022-04-12 23:35:53 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2814000 (1 GB) 2022-04-12 23:35:53 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2815000 (1 GB) 2022-04-12 23:35:53 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2816000 (1 GB) 2022-04-12 23:35:54 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2817000 (1 GB) 2022-04-12 23:35:54 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2818000 (1 GB) 2022-04-12 23:35:54 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2819000 (1 GB) 2022-04-12 23:35:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2820000 (1 GB) 2022-04-12 23:35:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2821000 (1 GB) 2022-04-12 23:35:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2822000 (1 GB) 2022-04-12 23:35:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2823000 (1 GB) 2022-04-12 23:35:56 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2824000 (1 GB) 2022-04-12 23:35:56 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2825000 (1 GB) 2022-04-12 23:35:56 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2826000 (1 GB) 2022-04-12 23:35:57 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2827000 (1 GB) 2022-04-12 23:35:57 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2828000 (1 GB) 2022-04-12 23:35:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2829000 (1 GB) 2022-04-12 23:35:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2830000 (1 GB) 2022-04-12 23:35:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2831000 (1 GB) 2022-04-12 23:35:59 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2832000 (1 GB) 2022-04-12 23:35:59 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2833000 (1 GB) 2022-04-12 23:35:59 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2834000 (1 GB) 2022-04-12 23:35:59 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2835000 (1 GB) 2022-04-12 23:36:00 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2836000 (1 GB) 2022-04-12 23:36:00 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2837000 (1 GB) 2022-04-12 23:36:00 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2838000 (1 GB) 2022-04-12 23:36:00 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2839000 (1 GB) 2022-04-12 23:36:01 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2840000 (1 GB) 2022-04-12 23:36:01 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2841000 (1 GB) 2022-04-12 23:36:01 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2842000 (1 GB) 2022-04-12 23:36:02 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2843000 (1 GB) 2022-04-12 23:36:02 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2844000 (1 GB) 2022-04-12 23:36:03 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2845000 (1 GB) 2022-04-12 23:36:03 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2846000 (1 GB) 2022-04-12 23:36:03 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2847000 (1 GB) 2022-04-12 23:36:04 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2848000 (1 GB) 2022-04-12 23:36:04 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2849000 (1 GB) 2022-04-12 23:36:04 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2850000 (1 GB) 2022-04-12 23:36:04 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2851000 (1 GB) 2022-04-12 23:36:05 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2852000 (1 GB) 2022-04-12 23:36:05 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2853000 (1 GB) 2022-04-12 23:36:05 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2854000 (1 GB) 2022-04-12 23:36:06 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2855000 (1 GB) 2022-04-12 23:36:06 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2856000 (1 GB) 2022-04-12 23:36:06 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2857000 (1 GB) 2022-04-12 23:36:06 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2858000 (1 GB) 2022-04-12 23:36:07 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2859000 (1 GB) 2022-04-12 23:36:07 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2860000 (1 GB) 2022-04-12 23:36:07 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2861000 (1 GB) 2022-04-12 23:36:08 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2862000 (1 GB) 2022-04-12 23:36:08 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2863000 (1 GB) 2022-04-12 23:36:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2864000 (1 GB) 2022-04-12 23:36:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2865000 (1 GB) 2022-04-12 23:36:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2866000 (1 GB) 2022-04-12 23:36:10 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2867000 (1 GB) 2022-04-12 23:36:10 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2868000 (1 GB) 2022-04-12 23:36:10 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2869000 (1 GB) 2022-04-12 23:36:11 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2870000 (1 GB) 2022-04-12 23:36:11 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2871000 (1 GB) 2022-04-12 23:36:12 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2872000 (1 GB) 2022-04-12 23:36:12 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2873000 (1 GB) 2022-04-12 23:36:12 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2874000 (1 GB) 2022-04-12 23:36:12 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2875000 (1 GB) 2022-04-12 23:36:13 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2876000 (1 GB) 2022-04-12 23:36:13 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2877000 (1 GB) 2022-04-12 23:36:13 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2878000 (1 GB) 2022-04-12 23:36:13 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2879000 (1 GB) 2022-04-12 23:36:14 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2880000 (1 GB) 2022-04-12 23:36:14 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2881000 (1 GB) 2022-04-12 23:36:14 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2882000 (1 GB) 2022-04-12 23:36:15 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2883000 (1 GB) 2022-04-12 23:36:15 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2884000 (1 GB) 2022-04-12 23:36:15 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2885000 (1 GB) 2022-04-12 23:36:16 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2886000 (1 GB) 2022-04-12 23:36:16 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2887000 (1 GB) 2022-04-12 23:36:16 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2888000 (1 GB) 2022-04-12 23:36:17 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2889000 (1 GB) 2022-04-12 23:36:17 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2890000 (1 GB) 2022-04-12 23:36:17 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2891000 (1 GB) 2022-04-12 23:36:17 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2892000 (1 GB) 2022-04-12 23:36:18 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2893000 (1 GB) 2022-04-12 23:36:18 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2894000 (1 GB) 2022-04-12 23:36:18 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2895000 (1 GB) 2022-04-12 23:36:19 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2896000 (1 GB) 2022-04-12 23:36:19 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2897000 (1 GB) 2022-04-12 23:36:19 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2898000 (1 GB) 2022-04-12 23:36:19 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2899000 (1 GB) 2022-04-12 23:36:20 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2900000 (1 GB) 2022-04-12 23:36:20 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2901000 (1 GB) 2022-04-12 23:36:20 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2902000 (1 GB) 2022-04-12 23:36:21 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2903000 (1 GB) 2022-04-12 23:36:21 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2904000 (1 GB) 2022-04-12 23:36:21 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2905000 (1 GB) 2022-04-12 23:36:22 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2906000 (1 GB) 2022-04-12 23:36:22 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2907000 (1 GB) 2022-04-12 23:36:22 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2908000 (1 GB) 2022-04-12 23:36:23 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2909000 (1 GB) 2022-04-12 23:36:23 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2910000 (1 GB) 2022-04-12 23:36:23 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2911000 (1 GB) 2022-04-12 23:36:24 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2912000 (1 GB) 2022-04-12 23:36:24 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2913000 (1 GB) 2022-04-12 23:36:24 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2914000 (1 GB) 2022-04-12 23:36:25 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2915000 (1 GB) 2022-04-12 23:36:25 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2916000 (1 GB) 2022-04-12 23:36:25 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2917000 (1 GB) 2022-04-12 23:36:25 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2918000 (1 GB) 2022-04-12 23:36:26 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2919000 (1 GB) 2022-04-12 23:36:26 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2920000 (1 GB) 2022-04-12 23:36:26 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2921000 (1 GB) 2022-04-12 23:36:26 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2922000 (1 GB) 2022-04-12 23:36:27 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2923000 (1 GB) 2022-04-12 23:36:27 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2924000 (1 GB) 2022-04-12 23:36:27 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2925000 (1 GB) 2022-04-12 23:36:28 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2926000 (1 GB) 2022-04-12 23:36:28 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2927000 (1 GB) 2022-04-12 23:36:28 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2928000 (1 GB) 2022-04-12 23:36:28 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2929000 (1 GB) 2022-04-12 23:36:29 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2930000 (1 GB) 2022-04-12 23:36:29 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2931000 (1 GB) 2022-04-12 23:36:29 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2932000 (1 GB) 2022-04-12 23:36:30 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2933000 (1 GB) 2022-04-12 23:36:30 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2934000 (1 GB) 2022-04-12 23:36:30 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2935000 (1 GB) 2022-04-12 23:36:31 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2936000 (1 GB) 2022-04-12 23:36:31 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2937000 (1 GB) 2022-04-12 23:36:31 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2938000 (1 GB) 2022-04-12 23:36:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2939000 (1 GB) 2022-04-12 23:36:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2940000 (1 GB) 2022-04-12 23:36:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2941000 (1 GB) 2022-04-12 23:36:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2942000 (1 GB) 2022-04-12 23:36:33 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2943000 (1 GB) 2022-04-12 23:36:33 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2944000 (1 GB) 2022-04-12 23:36:34 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2945000 (1 GB) 2022-04-12 23:36:34 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2946000 (1 GB) 2022-04-12 23:36:34 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2947000 (1 GB) 2022-04-12 23:36:34 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2948000 (1 GB) 2022-04-12 23:36:35 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2949000 (1 GB) 2022-04-12 23:36:35 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2950000 (1 GB) 2022-04-12 23:36:35 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2951000 (1 GB) 2022-04-12 23:36:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2952000 (1 GB) 2022-04-12 23:36:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2953000 (1 GB) 2022-04-12 23:36:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2954000 (1 GB) 2022-04-12 23:36:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2955000 (1 GB) 2022-04-12 23:36:37 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2956000 (1 GB) 2022-04-12 23:36:37 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2957000 (1 GB) 2022-04-12 23:36:37 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2958000 (1 GB) 2022-04-12 23:36:38 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2959000 (1 GB) 2022-04-12 23:36:39 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2960000 (1 GB) 2022-04-12 23:36:40 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2961000 (1 GB) 2022-04-12 23:36:40 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2962000 (1 GB) 2022-04-12 23:36:40 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2963000 (1 GB) 2022-04-12 23:36:40 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2964000 (1 GB) 2022-04-12 23:36:40 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2965000 (1 GB) 2022-04-12 23:36:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2966000 (1 GB) 2022-04-12 23:36:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2967000 (1 GB) 2022-04-12 23:36:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2968000 (1 GB) 2022-04-12 23:36:42 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2969000 (1 GB) 2022-04-12 23:36:42 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2970000 (1 GB) 2022-04-12 23:36:42 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2971000 (1 GB) 2022-04-12 23:36:43 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2972000 (1 GB) 2022-04-12 23:36:43 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2973000 (1 GB) 2022-04-12 23:36:44 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2974000 (1 GB) 2022-04-12 23:36:44 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2975000 (1 GB) 2022-04-12 23:36:44 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2976000 (1 GB) 2022-04-12 23:36:45 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2977000 (1 GB) 2022-04-12 23:36:45 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2978000 (1 GB) 2022-04-12 23:36:45 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2979000 (1 GB) 2022-04-12 23:36:46 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2980000 (1 GB) 2022-04-12 23:36:46 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2981000 (1 GB) 2022-04-12 23:36:46 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2982000 (1 GB) 2022-04-12 23:36:47 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2983000 (1 GB) 2022-04-12 23:36:47 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2984000 (1 GB) 2022-04-12 23:36:47 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2985000 (1 GB) 2022-04-12 23:36:48 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2986000 (1 GB) 2022-04-12 23:36:48 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2987000 (1 GB) 2022-04-12 23:36:48 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2988000 (1 GB) 2022-04-12 23:36:48 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2989000 (1 GB) 2022-04-12 23:36:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2990000 (1 GB) 2022-04-12 23:36:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2991000 (1 GB) 2022-04-12 23:36:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2992000 (1 GB) 2022-04-12 23:36:50 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2993000 (1 GB) 2022-04-12 23:36:50 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2994000 (1 GB) 2022-04-12 23:36:50 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2995000 (1 GB) 2022-04-12 23:36:51 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2996000 (1 GB) 2022-04-12 23:36:51 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2997000 (1 GB) 2022-04-12 23:36:52 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2998000 (1 GB) 2022-04-12 23:36:52 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 2999000 (1 GB) 2022-04-12 23:36:52 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3000000 (1 GB) 2022-04-12 23:36:52 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3001000 (1 GB) 2022-04-12 23:36:53 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3002000 (1 GB) 2022-04-12 23:36:53 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3003000 (1 GB) 2022-04-12 23:36:53 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3004000 (1 GB) 2022-04-12 23:36:54 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3005000 (1 GB) 2022-04-12 23:36:54 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3006000 (1 GB) 2022-04-12 23:36:54 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3007000 (1 GB) 2022-04-12 23:36:54 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3008000 (1 GB) 2022-04-12 23:36:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3009000 (1 GB) 2022-04-12 23:36:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3010000 (1 GB) 2022-04-12 23:36:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3011000 (1 GB) 2022-04-12 23:36:56 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3012000 (1 GB) 2022-04-12 23:36:56 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3013000 (1 GB) 2022-04-12 23:36:56 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3014000 (1 GB) 2022-04-12 23:36:56 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3015000 (1 GB) 2022-04-12 23:36:57 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3016000 (1 GB) 2022-04-12 23:36:57 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3017000 (1 GB) 2022-04-12 23:36:57 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3018000 (1 GB) 2022-04-12 23:36:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3019000 (1 GB) 2022-04-12 23:36:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3020000 (1 GB) 2022-04-12 23:36:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3021000 (1 GB) 2022-04-12 23:36:59 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3022000 (1 GB) 2022-04-12 23:36:59 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3023000 (1 GB) 2022-04-12 23:36:59 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3024000 (1 GB) 2022-04-12 23:36:59 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3025000 (1 GB) 2022-04-12 23:37:00 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3026000 (1 GB) 2022-04-12 23:37:00 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3027000 (1 GB) 2022-04-12 23:37:00 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3028000 (1 GB) 2022-04-12 23:37:01 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3029000 (1 GB) 2022-04-12 23:37:01 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3030000 (1 GB) 2022-04-12 23:37:01 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3031000 (1 GB) 2022-04-12 23:37:01 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3032000 (1 GB) 2022-04-12 23:37:02 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3033000 (1 GB) 2022-04-12 23:37:02 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3034000 (1 GB) 2022-04-12 23:37:02 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3035000 (1 GB) 2022-04-12 23:37:03 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3036000 (1 GB) 2022-04-12 23:37:03 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3037000 (1 GB) 2022-04-12 23:37:03 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3038000 (1 GB) 2022-04-12 23:37:04 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3039000 (1 GB) 2022-04-12 23:37:04 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3040000 (1 GB) 2022-04-12 23:37:04 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3041000 (1 GB) 2022-04-12 23:37:04 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3042000 (1 GB) 2022-04-12 23:37:05 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3043000 (1 GB) 2022-04-12 23:37:05 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3044000 (1 GB) 2022-04-12 23:37:05 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3045000 (1 GB) 2022-04-12 23:37:06 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3046000 (1 GB) 2022-04-12 23:37:06 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3047000 (1 GB) 2022-04-12 23:37:06 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3048000 (1 GB) 2022-04-12 23:37:07 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3049000 (1 GB) 2022-04-12 23:37:07 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3050000 (1 GB) 2022-04-12 23:37:07 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3051000 (1 GB) 2022-04-12 23:37:07 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3052000 (1 GB) 2022-04-12 23:37:08 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3053000 (1 GB) 2022-04-12 23:37:08 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3054000 (1 GB) 2022-04-12 23:37:08 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3055000 (1 GB) 2022-04-12 23:37:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3056000 (1 GB) 2022-04-12 23:37:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3057000 (1 GB) 2022-04-12 23:37:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3058000 (1 GB) 2022-04-12 23:37:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3059000 (1 GB) 2022-04-12 23:37:10 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3060000 (1 GB) 2022-04-12 23:37:10 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3061000 (1 GB) 2022-04-12 23:37:10 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3062000 (1 GB) 2022-04-12 23:37:11 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3063000 (1 GB) 2022-04-12 23:37:11 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3064000 (1 GB) 2022-04-12 23:37:11 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3065000 (1 GB) 2022-04-12 23:37:11 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3066000 (1 GB) 2022-04-12 23:37:12 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3067000 (1 GB) 2022-04-12 23:37:12 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3068000 (1 GB) 2022-04-12 23:37:12 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3069000 (1 GB) 2022-04-12 23:37:13 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3070000 (1 GB) 2022-04-12 23:37:13 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3071000 (1 GB) 2022-04-12 23:37:13 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3072000 (1 GB) 2022-04-12 23:37:13 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3073000 (1 GB) 2022-04-12 23:37:14 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3074000 (1 GB) 2022-04-12 23:37:14 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3075000 (1 GB) 2022-04-12 23:37:14 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3076000 (1 GB) 2022-04-12 23:37:14 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3077000 (1 GB) 2022-04-12 23:37:15 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3078000 (1 GB) 2022-04-12 23:37:15 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3079000 (1 GB) 2022-04-12 23:37:15 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3080000 (1 GB) 2022-04-12 23:37:15 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3081000 (1 GB) 2022-04-12 23:37:16 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3082000 (1 GB) 2022-04-12 23:37:16 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3083000 (1 GB) 2022-04-12 23:37:16 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3084000 (1 GB) 2022-04-12 23:37:16 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3085000 (1 GB) 2022-04-12 23:37:17 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3086000 (1 GB) 2022-04-12 23:37:17 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3087000 (1 GB) 2022-04-12 23:37:17 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3088000 (1 GB) 2022-04-12 23:37:18 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3089000 (1 GB) 2022-04-12 23:37:18 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3090000 (1 GB) 2022-04-12 23:37:18 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3091000 (1 GB) 2022-04-12 23:37:18 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3092000 (1 GB) 2022-04-12 23:37:19 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3093000 (1 GB) 2022-04-12 23:37:19 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3094000 (1 GB) 2022-04-12 23:37:19 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3095000 (1 GB) 2022-04-12 23:37:20 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3096000 (1 GB) 2022-04-12 23:37:20 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3097000 (1 GB) 2022-04-12 23:37:20 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3098000 (1 GB) 2022-04-12 23:37:21 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3099000 (1 GB) 2022-04-12 23:37:21 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3100000 (1 GB) 2022-04-12 23:37:21 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3101000 (1 GB) 2022-04-12 23:37:21 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3102000 (1 GB) 2022-04-12 23:37:22 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3103000 (1 GB) 2022-04-12 23:37:22 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3104000 (1 GB) 2022-04-12 23:37:22 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3105000 (1 GB) 2022-04-12 23:37:23 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3106000 (1 GB) 2022-04-12 23:37:23 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3107000 (1 GB) 2022-04-12 23:37:23 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3108000 (1 GB) 2022-04-12 23:37:23 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3109000 (1 GB) 2022-04-12 23:37:24 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3110000 (1 GB) 2022-04-12 23:37:24 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3111000 (1 GB) 2022-04-12 23:37:24 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3112000 (1 GB) 2022-04-12 23:37:25 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3113000 (1 GB) 2022-04-12 23:37:25 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3114000 (1 GB) 2022-04-12 23:37:25 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3115000 (1 GB) 2022-04-12 23:37:26 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3116000 (1 GB) 2022-04-12 23:37:26 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3117000 (1 GB) 2022-04-12 23:37:26 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3118000 (1 GB) 2022-04-12 23:37:27 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3119000 (1 GB) 2022-04-12 23:37:27 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3120000 (1 GB) 2022-04-12 23:37:27 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3121000 (1 GB) 2022-04-12 23:37:27 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3122000 (1 GB) 2022-04-12 23:37:28 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3123000 (1 GB) 2022-04-12 23:37:28 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3124000 (1 GB) 2022-04-12 23:37:28 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3125000 (1 GB) 2022-04-12 23:37:29 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3126000 (1 GB) 2022-04-12 23:37:29 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3127000 (1 GB) 2022-04-12 23:37:29 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3128000 (1 GB) 2022-04-12 23:37:29 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3129000 (1 GB) 2022-04-12 23:37:30 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3130000 (1 GB) 2022-04-12 23:37:30 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3131000 (1 GB) 2022-04-12 23:37:30 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3132000 (1 GB) 2022-04-12 23:37:31 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3133000 (1 GB) 2022-04-12 23:37:31 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3134000 (1 GB) 2022-04-12 23:37:31 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3135000 (1 GB) 2022-04-12 23:37:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3136000 (1 GB) 2022-04-12 23:37:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3137000 (1 GB) 2022-04-12 23:37:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3138000 (1 GB) 2022-04-12 23:37:33 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3139000 (1 GB) 2022-04-12 23:37:33 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3140000 (1 GB) 2022-04-12 23:37:33 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3141000 (1 GB) 2022-04-12 23:37:34 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3142000 (1 GB) 2022-04-12 23:37:34 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3143000 (1 GB) 2022-04-12 23:37:34 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3144000 (1 GB) 2022-04-12 23:37:35 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3145000 (1 GB) 2022-04-12 23:37:35 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3146000 (1 GB) 2022-04-12 23:37:35 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3147000 (1 GB) 2022-04-12 23:37:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3148000 (1 GB) 2022-04-12 23:37:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3149000 (1 GB) 2022-04-12 23:37:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3150000 (1 GB) 2022-04-12 23:37:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3151000 (1 GB) 2022-04-12 23:37:37 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3152000 (1 GB) 2022-04-12 23:37:37 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3153000 (1 GB) 2022-04-12 23:37:38 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3154000 (1 GB) 2022-04-12 23:37:38 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3155000 (1 GB) 2022-04-12 23:37:38 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3156000 (1 GB) 2022-04-12 23:37:39 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3157000 (1 GB) 2022-04-12 23:37:39 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3158000 (1 GB) 2022-04-12 23:37:39 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3159000 (1 GB) 2022-04-12 23:37:39 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3160000 (1 GB) 2022-04-12 23:37:40 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3161000 (1 GB) 2022-04-12 23:37:40 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3162000 (1 GB) 2022-04-12 23:37:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3163000 (1 GB) 2022-04-12 23:37:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3164000 (1 GB) 2022-04-12 23:37:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3165000 (1 GB) 2022-04-12 23:37:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3166000 (1 GB) 2022-04-12 23:37:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3167000 (1 GB) 2022-04-12 23:37:42 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3168000 (1 GB) 2022-04-12 23:37:42 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3169000 (1 GB) 2022-04-12 23:37:43 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3170000 (1 GB) 2022-04-12 23:37:43 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3171000 (1 GB) 2022-04-12 23:37:43 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3172000 (1 GB) 2022-04-12 23:37:44 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3173000 (1 GB) 2022-04-12 23:37:44 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3174000 (1 GB) 2022-04-12 23:37:44 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3175000 (1 GB) 2022-04-12 23:37:45 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3176000 (1 GB) 2022-04-12 23:37:45 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3177000 (1 GB) 2022-04-12 23:37:45 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3178000 (1 GB) 2022-04-12 23:37:45 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3179000 (1 GB) 2022-04-12 23:37:45 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3180000 (1 GB) 2022-04-12 23:37:46 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3181000 (1 GB) 2022-04-12 23:37:46 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3182000 (1 GB) 2022-04-12 23:37:46 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3183000 (1 GB) 2022-04-12 23:37:47 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3184000 (1 GB) 2022-04-12 23:37:47 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3185000 (1 GB) 2022-04-12 23:37:47 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3186000 (1 GB) 2022-04-12 23:37:48 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3187000 (1 GB) 2022-04-12 23:37:48 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3188000 (1 GB) 2022-04-12 23:37:48 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3189000 (1 GB) 2022-04-12 23:37:48 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3190000 (1 GB) 2022-04-12 23:37:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3191000 (1 GB) 2022-04-12 23:37:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3192000 (1 GB) 2022-04-12 23:37:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3193000 (1 GB) 2022-04-12 23:37:50 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3194000 (1 GB) 2022-04-12 23:37:50 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3195000 (1 GB) 2022-04-12 23:37:50 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3196000 (1 GB) 2022-04-12 23:37:51 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3197000 (1 GB) 2022-04-12 23:37:51 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3198000 (1 GB) 2022-04-12 23:37:51 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3199000 (1 GB) 2022-04-12 23:37:51 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3200000 (1 GB) 2022-04-12 23:37:52 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3201000 (1 GB) 2022-04-12 23:37:52 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3202000 (1 GB) 2022-04-12 23:37:52 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3203000 (1 GB) 2022-04-12 23:37:53 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3204000 (1 GB) 2022-04-12 23:37:53 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3205000 (1 GB) 2022-04-12 23:37:53 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3206000 (1 GB) 2022-04-12 23:37:53 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3207000 (1 GB) 2022-04-12 23:37:54 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3208000 (1 GB) 2022-04-12 23:37:54 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3209000 (1 GB) 2022-04-12 23:37:54 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3210000 (1 GB) 2022-04-12 23:37:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3211000 (1 GB) 2022-04-12 23:37:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3212000 (1 GB) 2022-04-12 23:37:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3213000 (1 GB) 2022-04-12 23:37:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3214000 (1 GB) 2022-04-12 23:37:56 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3215000 (1 GB) 2022-04-12 23:37:56 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3216000 (1 GB) 2022-04-12 23:37:56 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3217000 (1 GB) 2022-04-12 23:37:57 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3218000 (1 GB) 2022-04-12 23:37:57 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3219000 (1 GB) 2022-04-12 23:37:57 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3220000 (1 GB) 2022-04-12 23:37:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3221000 (1 GB) 2022-04-12 23:37:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3222000 (1 GB) 2022-04-12 23:37:59 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3223000 (1 GB) 2022-04-12 23:37:59 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3224000 (1 GB) 2022-04-12 23:37:59 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3225000 (1 GB) 2022-04-12 23:37:59 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3226000 (1 GB) 2022-04-12 23:38:00 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3227000 (1 GB) 2022-04-12 23:38:00 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3228000 (1 GB) 2022-04-12 23:38:00 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3229000 (1 GB) 2022-04-12 23:38:01 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3230000 (1 GB) 2022-04-12 23:38:01 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3231000 (1 GB) 2022-04-12 23:38:01 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3232000 (1 GB) 2022-04-12 23:38:02 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3233000 (1 GB) 2022-04-12 23:38:02 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3234000 (1 GB) 2022-04-12 23:38:02 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3235000 (1 GB) 2022-04-12 23:38:02 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3236000 (1 GB) 2022-04-12 23:38:03 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3237000 (1 GB) 2022-04-12 23:38:03 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3238000 (1 GB) 2022-04-12 23:38:03 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3239000 (1 GB) 2022-04-12 23:38:04 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3240000 (1 GB) 2022-04-12 23:38:04 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3241000 (1 GB) 2022-04-12 23:38:04 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3242000 (1 GB) 2022-04-12 23:38:04 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3243000 (1 GB) 2022-04-12 23:38:05 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3244000 (1 GB) 2022-04-12 23:38:05 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3245000 (1 GB) 2022-04-12 23:38:06 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3246000 (1 GB) 2022-04-12 23:38:06 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3247000 (1 GB) 2022-04-12 23:38:06 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3248000 (1 GB) 2022-04-12 23:38:06 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3249000 (1 GB) 2022-04-12 23:38:07 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3250000 (1 GB) 2022-04-12 23:38:07 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3251000 (1 GB) 2022-04-12 23:38:07 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3252000 (1 GB) 2022-04-12 23:38:08 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3253000 (1 GB) 2022-04-12 23:38:08 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3254000 (1 GB) 2022-04-12 23:38:08 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3255000 (1 GB) 2022-04-12 23:38:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3256000 (1 GB) 2022-04-12 23:38:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3257000 (1 GB) 2022-04-12 23:38:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3258000 (1 GB) 2022-04-12 23:38:10 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3259000 (1 GB) 2022-04-12 23:38:10 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3260000 (1 GB) 2022-04-12 23:38:10 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3261000 (1 GB) 2022-04-12 23:38:11 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3262000 (1 GB) 2022-04-12 23:38:11 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3263000 (1 GB) 2022-04-12 23:38:11 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3264000 (1 GB) 2022-04-12 23:38:12 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3265000 (1 GB) 2022-04-12 23:38:12 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3266000 (1 GB) 2022-04-12 23:38:12 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3267000 (1 GB) 2022-04-12 23:38:13 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3268000 (1 GB) 2022-04-12 23:38:13 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3269000 (1 GB) 2022-04-12 23:38:13 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3270000 (1 GB) 2022-04-12 23:38:14 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3271000 (1 GB) 2022-04-12 23:38:14 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3272000 (1 GB) 2022-04-12 23:38:14 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3273000 (1 GB) 2022-04-12 23:38:15 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3274000 (1 GB) 2022-04-12 23:38:15 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3275000 (1 GB) 2022-04-12 23:38:16 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3276000 (1 GB) 2022-04-12 23:38:16 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3277000 (1 GB) 2022-04-12 23:38:16 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3278000 (1 GB) 2022-04-12 23:38:17 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3279000 (1 GB) 2022-04-12 23:38:17 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3280000 (1 GB) 2022-04-12 23:38:17 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3281000 (1 GB) 2022-04-12 23:38:17 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3282000 (1 GB) 2022-04-12 23:38:18 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3283000 (1 GB) 2022-04-12 23:38:18 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3284000 (1 GB) 2022-04-12 23:38:19 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3285000 (1 GB) 2022-04-12 23:38:19 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3286000 (1 GB) 2022-04-12 23:38:19 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3287000 (1 GB) 2022-04-12 23:38:20 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3288000 (1 GB) 2022-04-12 23:38:20 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3289000 (1 GB) 2022-04-12 23:38:20 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3290000 (1 GB) 2022-04-12 23:38:21 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3291000 (1 GB) 2022-04-12 23:38:21 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3292000 (1 GB) 2022-04-12 23:38:22 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3293000 (1 GB) 2022-04-12 23:38:22 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3294000 (1 GB) 2022-04-12 23:38:22 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3295000 (1 GB) 2022-04-12 23:38:22 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3296000 (1 GB) 2022-04-12 23:38:23 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3297000 (1 GB) 2022-04-12 23:38:23 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3298000 (1 GB) 2022-04-12 23:38:24 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3299000 (1 GB) 2022-04-12 23:38:24 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3300000 (1 GB) 2022-04-12 23:38:24 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3301000 (1 GB) 2022-04-12 23:38:24 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3302000 (1 GB) 2022-04-12 23:38:25 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3303000 (1 GB) 2022-04-12 23:38:25 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3304000 (1 GB) 2022-04-12 23:38:25 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3305000 (1 GB) 2022-04-12 23:38:25 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3306000 (1 GB) 2022-04-12 23:38:26 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3307000 (1 GB) 2022-04-12 23:38:26 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3308000 (1 GB) 2022-04-12 23:38:27 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3309000 (1 GB) 2022-04-12 23:38:27 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3310000 (1 GB) 2022-04-12 23:38:27 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3311000 (1 GB) 2022-04-12 23:38:27 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3312000 (1 GB) 2022-04-12 23:38:28 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3313000 (1 GB) 2022-04-12 23:38:28 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3314000 (1 GB) 2022-04-12 23:38:28 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3315000 (1 GB) 2022-04-12 23:38:29 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3316000 (1 GB) 2022-04-12 23:38:29 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3317000 (1 GB) 2022-04-12 23:38:30 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3318000 (1 GB) 2022-04-12 23:38:30 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3319000 (1 GB) 2022-04-12 23:38:30 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3320000 (1 GB) 2022-04-12 23:38:31 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3321000 (1 GB) 2022-04-12 23:38:31 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3322000 (1 GB) 2022-04-12 23:38:31 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3323000 (1 GB) 2022-04-12 23:38:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3324000 (1 GB) 2022-04-12 23:38:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3325000 (1 GB) 2022-04-12 23:38:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3326000 (1 GB) 2022-04-12 23:38:33 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3327000 (1 GB) 2022-04-12 23:38:33 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3328000 (1 GB) 2022-04-12 23:38:33 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3329000 (1 GB) 2022-04-12 23:38:34 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3330000 (1 GB) 2022-04-12 23:38:34 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3331000 (1 GB) 2022-04-12 23:38:34 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3332000 (1 GB) 2022-04-12 23:38:35 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3333000 (1 GB) 2022-04-12 23:38:35 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3334000 (1 GB) 2022-04-12 23:38:35 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3335000 (1 GB) 2022-04-12 23:38:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3336000 (1 GB) 2022-04-12 23:38:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3337000 (1 GB) 2022-04-12 23:38:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3338000 (1 GB) 2022-04-12 23:38:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3339000 (1 GB) 2022-04-12 23:38:37 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3340000 (1 GB) 2022-04-12 23:38:37 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3341000 (1 GB) 2022-04-12 23:38:37 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3342000 (1 GB) 2022-04-12 23:38:38 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3343000 (1 GB) 2022-04-12 23:38:38 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3344000 (1 GB) 2022-04-12 23:38:38 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3345000 (1 GB) 2022-04-12 23:38:39 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3346000 (1 GB) 2022-04-12 23:38:39 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3347000 (1 GB) 2022-04-12 23:38:40 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3348000 (1 GB) 2022-04-12 23:38:40 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3349000 (1 GB) 2022-04-12 23:38:40 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3350000 (1 GB) 2022-04-12 23:38:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3351000 (1 GB) 2022-04-12 23:38:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3352000 (1 GB) 2022-04-12 23:38:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3353000 (1 GB) 2022-04-12 23:38:42 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3354000 (1 GB) 2022-04-12 23:38:42 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3355000 (1 GB) 2022-04-12 23:38:42 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3356000 (1 GB) 2022-04-12 23:38:43 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3357000 (1 GB) 2022-04-12 23:38:43 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3358000 (1 GB) 2022-04-12 23:38:43 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3359000 (1 GB) 2022-04-12 23:38:44 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3360000 (1 GB) 2022-04-12 23:38:44 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3361000 (1 GB) 2022-04-12 23:38:45 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3362000 (1 GB) 2022-04-12 23:38:45 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3363000 (1 GB) 2022-04-12 23:38:45 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3364000 (1 GB) 2022-04-12 23:38:46 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3365000 (1 GB) 2022-04-12 23:38:46 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3366000 (1 GB) 2022-04-12 23:38:46 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3367000 (1 GB) 2022-04-12 23:38:46 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3368000 (1 GB) 2022-04-12 23:38:47 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3369000 (1 GB) 2022-04-12 23:38:47 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3370000 (1 GB) 2022-04-12 23:38:47 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3371000 (1 GB) 2022-04-12 23:38:48 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3372000 (1 GB) 2022-04-12 23:38:48 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3373000 (1 GB) 2022-04-12 23:38:48 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3374000 (1 GB) 2022-04-12 23:38:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3375000 (1 GB) 2022-04-12 23:38:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3376000 (1 GB) 2022-04-12 23:38:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3377000 (1 GB) 2022-04-12 23:38:50 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3378000 (1 GB) 2022-04-12 23:38:50 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3379000 (1 GB) 2022-04-12 23:38:50 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3380000 (1 GB) 2022-04-12 23:38:50 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3381000 (1 GB) 2022-04-12 23:38:51 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3382000 (1 GB) 2022-04-12 23:38:51 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3383000 (1 GB) 2022-04-12 23:38:51 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3384000 (1 GB) 2022-04-12 23:38:52 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3385000 (1 GB) 2022-04-12 23:38:52 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3386000 (1 GB) 2022-04-12 23:38:52 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3387000 (1 GB) 2022-04-12 23:38:53 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3388000 (1 GB) 2022-04-12 23:38:53 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3389000 (1 GB) 2022-04-12 23:38:53 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3390000 (1 GB) 2022-04-12 23:38:53 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3391000 (1 GB) 2022-04-12 23:38:54 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3392000 (1 GB) 2022-04-12 23:38:54 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3393000 (1 GB) 2022-04-12 23:38:54 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3394000 (1 GB) 2022-04-12 23:38:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3395000 (1 GB) 2022-04-12 23:38:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3396000 (1 GB) 2022-04-12 23:38:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3397000 (1 GB) 2022-04-12 23:38:56 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3398000 (1 GB) 2022-04-12 23:38:56 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3399000 (1 GB) 2022-04-12 23:38:56 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3400000 (1 GB) 2022-04-12 23:38:57 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3401000 (1 GB) 2022-04-12 23:38:57 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3402000 (1 GB) 2022-04-12 23:38:57 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3403000 (1 GB) 2022-04-12 23:38:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3404000 (1 GB) 2022-04-12 23:38:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3405000 (1 GB) 2022-04-12 23:38:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3406000 (1 GB) 2022-04-12 23:38:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3407000 (1 GB) 2022-04-12 23:38:59 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3408000 (1 GB) 2022-04-12 23:38:59 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3409000 (1 GB) 2022-04-12 23:38:59 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3410000 (1 GB) 2022-04-12 23:39:00 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3411000 (1 GB) 2022-04-12 23:39:00 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3412000 (1 GB) 2022-04-12 23:39:00 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3413000 (1 GB) 2022-04-12 23:39:01 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3414000 (1 GB) 2022-04-12 23:39:01 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3415000 (1 GB) 2022-04-12 23:39:01 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3416000 (1 GB) 2022-04-12 23:39:01 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3417000 (1 GB) 2022-04-12 23:39:01 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3418000 (1 GB) 2022-04-12 23:39:02 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3419000 (1 GB) 2022-04-12 23:39:03 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3420000 (1 GB) 2022-04-12 23:39:03 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3421000 (1 GB) 2022-04-12 23:39:03 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3422000 (1 GB) 2022-04-12 23:39:04 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3423000 (1 GB) 2022-04-12 23:39:04 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3424000 (1 GB) 2022-04-12 23:39:04 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3425000 (1 GB) 2022-04-12 23:39:04 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3426000 (1 GB) 2022-04-12 23:39:05 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3427000 (1 GB) 2022-04-12 23:39:05 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3428000 (1 GB) 2022-04-12 23:39:05 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3429000 (1 GB) 2022-04-12 23:39:06 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3430000 (1 GB) 2022-04-12 23:39:06 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3431000 (1 GB) 2022-04-12 23:39:06 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3432000 (1 GB) 2022-04-12 23:39:07 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3433000 (1 GB) 2022-04-12 23:39:07 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3434000 (1 GB) 2022-04-12 23:39:07 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3435000 (1 GB) 2022-04-12 23:39:08 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3436000 (1 GB) 2022-04-12 23:39:08 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3437000 (1 GB) 2022-04-12 23:39:08 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3438000 (1 GB) 2022-04-12 23:39:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3439000 (1 GB) 2022-04-12 23:39:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3440000 (1 GB) 2022-04-12 23:39:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3441000 (1 GB) 2022-04-12 23:39:10 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3442000 (1 GB) 2022-04-12 23:39:10 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3443000 (1 GB) 2022-04-12 23:39:10 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3444000 (1 GB) 2022-04-12 23:39:10 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3445000 (1 GB) 2022-04-12 23:39:11 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3446000 (1 GB) 2022-04-12 23:39:11 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3447000 (1 GB) 2022-04-12 23:39:12 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3448000 (1 GB) 2022-04-12 23:39:12 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3449000 (1 GB) 2022-04-12 23:39:12 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3450000 (1 GB) 2022-04-12 23:39:13 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3451000 (1 GB) 2022-04-12 23:39:13 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3452000 (1 GB) 2022-04-12 23:39:14 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3453000 (1 GB) 2022-04-12 23:39:14 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3454000 (1 GB) 2022-04-12 23:39:14 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3455000 (1 GB) 2022-04-12 23:39:14 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3456000 (1 GB) 2022-04-12 23:39:15 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3457000 (1 GB) 2022-04-12 23:39:15 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3458000 (1 GB) 2022-04-12 23:39:15 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3459000 (1 GB) 2022-04-12 23:39:16 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3460000 (1 GB) 2022-04-12 23:39:16 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3461000 (1 GB) 2022-04-12 23:39:16 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3462000 (1 GB) 2022-04-12 23:39:17 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3463000 (1 GB) 2022-04-12 23:39:17 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3464000 (1 GB) 2022-04-12 23:39:17 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3465000 (1 GB) 2022-04-12 23:39:17 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3466000 (1 GB) 2022-04-12 23:39:18 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3467000 (1 GB) 2022-04-12 23:39:18 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3468000 (1 GB) 2022-04-12 23:39:18 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3469000 (1 GB) 2022-04-12 23:39:19 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3470000 (1 GB) 2022-04-12 23:39:19 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3471000 (1 GB) 2022-04-12 23:39:19 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3472000 (1 GB) 2022-04-12 23:39:20 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3473000 (1 GB) 2022-04-12 23:39:20 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3474000 (1 GB) 2022-04-12 23:39:21 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3475000 (1 GB) 2022-04-12 23:39:21 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3476000 (1 GB) 2022-04-12 23:39:21 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3477000 (1 GB) 2022-04-12 23:39:21 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3478000 (1 GB) 2022-04-12 23:39:22 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3479000 (1 GB) 2022-04-12 23:39:22 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3480000 (1 GB) 2022-04-12 23:39:22 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3481000 (1 GB) 2022-04-12 23:39:23 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3482000 (1 GB) 2022-04-12 23:39:23 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3483000 (1 GB) 2022-04-12 23:39:23 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3484000 (1 GB) 2022-04-12 23:39:23 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3485000 (1 GB) 2022-04-12 23:39:24 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3486000 (1 GB) 2022-04-12 23:39:24 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3487000 (1 GB) 2022-04-12 23:39:24 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3488000 (1 GB) 2022-04-12 23:39:25 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3489000 (1 GB) 2022-04-12 23:39:25 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3490000 (1 GB) 2022-04-12 23:39:25 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3491000 (1 GB) 2022-04-12 23:39:26 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3492000 (1 GB) 2022-04-12 23:39:26 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3493000 (1 GB) 2022-04-12 23:39:26 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3494000 (1 GB) 2022-04-12 23:39:27 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3495000 (1 GB) 2022-04-12 23:39:27 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3496000 (1 GB) 2022-04-12 23:39:27 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3497000 (1 GB) 2022-04-12 23:39:27 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3498000 (1 GB) 2022-04-12 23:39:28 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3499000 (1 GB) 2022-04-12 23:39:28 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3500000 (1 GB) 2022-04-12 23:39:28 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3501000 (1 GB) 2022-04-12 23:39:29 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3502000 (1 GB) 2022-04-12 23:39:29 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3503000 (1 GB) 2022-04-12 23:39:29 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3504000 (1 GB) 2022-04-12 23:39:29 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3505000 (1 GB) 2022-04-12 23:39:29 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3506000 (1 GB) 2022-04-12 23:39:30 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3507000 (1 GB) 2022-04-12 23:39:30 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3508000 (1 GB) 2022-04-12 23:39:30 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3509000 (1 GB) 2022-04-12 23:39:31 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3510000 (1 GB) 2022-04-12 23:39:31 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3511000 (1 GB) 2022-04-12 23:39:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3512000 (1 GB) 2022-04-12 23:39:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3513000 (1 GB) 2022-04-12 23:39:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3514000 (1 GB) 2022-04-12 23:39:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3515000 (1 GB) 2022-04-12 23:39:33 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3516000 (1 GB) 2022-04-12 23:39:33 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3517000 (1 GB) 2022-04-12 23:39:33 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3518000 (1 GB) 2022-04-12 23:39:34 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3519000 (1 GB) 2022-04-12 23:39:34 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3520000 (1 GB) 2022-04-12 23:39:34 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3521000 (1 GB) 2022-04-12 23:39:34 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3522000 (1 GB) 2022-04-12 23:39:35 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3523000 (1 GB) 2022-04-12 23:39:35 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3524000 (1 GB) 2022-04-12 23:39:35 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3525000 (1 GB) 2022-04-12 23:39:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3526000 (1 GB) 2022-04-12 23:39:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3527000 (1 GB) 2022-04-12 23:39:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3528000 (1 GB) 2022-04-12 23:39:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3529000 (1 GB) 2022-04-12 23:39:37 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3530000 (1 GB) 2022-04-12 23:39:37 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3531000 (1 GB) 2022-04-12 23:39:37 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3532000 (1 GB) 2022-04-12 23:39:38 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3533000 (1 GB) 2022-04-12 23:39:38 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3534000 (1 GB) 2022-04-12 23:39:38 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3535000 (1 GB) 2022-04-12 23:39:39 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3536000 (1 GB) 2022-04-12 23:39:39 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3537000 (1 GB) 2022-04-12 23:39:39 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3538000 (1 GB) 2022-04-12 23:39:39 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3539000 (1 GB) 2022-04-12 23:39:40 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3540000 (1 GB) 2022-04-12 23:39:40 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3541000 (1 GB) 2022-04-12 23:39:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3542000 (1 GB) 2022-04-12 23:39:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3543000 (1 GB) 2022-04-12 23:39:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3544000 (1 GB) 2022-04-12 23:39:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3545000 (1 GB) 2022-04-12 23:39:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3546000 (1 GB) 2022-04-12 23:39:42 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3547000 (1 GB) 2022-04-12 23:39:42 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3548000 (1 GB) 2022-04-12 23:39:42 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3549000 (1 GB) 2022-04-12 23:39:43 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3550000 (1 GB) 2022-04-12 23:39:43 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3551000 (1 GB) 2022-04-12 23:39:43 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3552000 (1 GB) 2022-04-12 23:39:44 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3553000 (1 GB) 2022-04-12 23:39:44 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3554000 (1 GB) 2022-04-12 23:39:44 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3555000 (1 GB) 2022-04-12 23:39:45 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3556000 (1 GB) 2022-04-12 23:39:45 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3557000 (1 GB) 2022-04-12 23:39:45 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3558000 (1 GB) 2022-04-12 23:39:45 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3559000 (1 GB) 2022-04-12 23:39:46 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3560000 (1 GB) 2022-04-12 23:39:46 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3561000 (1 GB) 2022-04-12 23:39:46 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3562000 (1 GB) 2022-04-12 23:39:46 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3563000 (1 GB) 2022-04-12 23:39:47 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3564000 (1 GB) 2022-04-12 23:39:47 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3565000 (1 GB) 2022-04-12 23:39:48 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3566000 (1 GB) 2022-04-12 23:39:48 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3567000 (1 GB) 2022-04-12 23:39:48 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3568000 (1 GB) 2022-04-12 23:39:48 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3569000 (1 GB) 2022-04-12 23:39:48 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3570000 (1 GB) 2022-04-12 23:39:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3571000 (1 GB) 2022-04-12 23:39:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3572000 (1 GB) 2022-04-12 23:39:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3573000 (1 GB) 2022-04-12 23:39:50 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3574000 (1 GB) 2022-04-12 23:39:50 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3575000 (1 GB) 2022-04-12 23:39:50 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3576000 (1 GB) 2022-04-12 23:39:50 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3577000 (1 GB) 2022-04-12 23:39:51 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3578000 (1 GB) 2022-04-12 23:39:51 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3579000 (1 GB) 2022-04-12 23:39:51 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3580000 (1 GB) 2022-04-12 23:39:52 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3581000 (1 GB) 2022-04-12 23:39:52 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3582000 (1 GB) 2022-04-12 23:39:53 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3583000 (1 GB) 2022-04-12 23:39:53 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3584000 (1 GB) 2022-04-12 23:39:53 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3585000 (1 GB) 2022-04-12 23:39:54 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3586000 (1 GB) 2022-04-12 23:39:54 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3587000 (1 GB) 2022-04-12 23:39:54 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3588000 (1 GB) 2022-04-12 23:39:54 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3589000 (1 GB) 2022-04-12 23:39:54 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3590000 (1 GB) 2022-04-12 23:39:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3591000 (1 GB) 2022-04-12 23:39:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3592000 (1 GB) 2022-04-12 23:39:56 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3593000 (1 GB) 2022-04-12 23:39:56 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3594000 (1 GB) 2022-04-12 23:39:56 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3595000 (1 GB) 2022-04-12 23:39:56 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3596000 (1 GB) 2022-04-12 23:39:57 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3597000 (1 GB) 2022-04-12 23:39:57 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3598000 (1 GB) 2022-04-12 23:39:57 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3599000 (1 GB) 2022-04-12 23:39:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3600000 (1 GB) 2022-04-12 23:39:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3601000 (1 GB) 2022-04-12 23:39:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3602000 (1 GB) 2022-04-12 23:39:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3603000 (1 GB) 2022-04-12 23:39:59 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3604000 (1 GB) 2022-04-12 23:39:59 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3605000 (1 GB) 2022-04-12 23:39:59 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3606000 (1 GB) 2022-04-12 23:40:00 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3607000 (1 GB) 2022-04-12 23:40:00 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3608000 (1 GB) 2022-04-12 23:40:00 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3609000 (1 GB) 2022-04-12 23:40:00 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3610000 (1 GB) 2022-04-12 23:40:01 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3611000 (1 GB) 2022-04-12 23:40:01 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3612000 (1 GB) 2022-04-12 23:40:01 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3613000 (1 GB) 2022-04-12 23:40:02 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3614000 (1 GB) 2022-04-12 23:40:02 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3615000 (1 GB) 2022-04-12 23:40:03 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3616000 (1 GB) 2022-04-12 23:40:03 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3617000 (1 GB) 2022-04-12 23:40:03 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3618000 (1 GB) 2022-04-12 23:40:03 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3619000 (1 GB) 2022-04-12 23:40:04 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3620000 (1 GB) 2022-04-12 23:40:04 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3621000 (1 GB) 2022-04-12 23:40:04 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3622000 (1 GB) 2022-04-12 23:40:05 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3623000 (1 GB) 2022-04-12 23:40:05 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3624000 (1 GB) 2022-04-12 23:40:05 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3625000 (1 GB) 2022-04-12 23:40:05 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3626000 (1 GB) 2022-04-12 23:40:06 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3627000 (1 GB) 2022-04-12 23:40:06 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3628000 (1 GB) 2022-04-12 23:40:06 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3629000 (1 GB) 2022-04-12 23:40:07 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3630000 (1 GB) 2022-04-12 23:40:07 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3631000 (1 GB) 2022-04-12 23:40:07 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3632000 (1 GB) 2022-04-12 23:40:07 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3633000 (1 GB) 2022-04-12 23:40:08 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3634000 (1 GB) 2022-04-12 23:40:08 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3635000 (1 GB) 2022-04-12 23:40:08 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3636000 (1 GB) 2022-04-12 23:40:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3637000 (1 GB) 2022-04-12 23:40:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3638000 (1 GB) 2022-04-12 23:40:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3639000 (1 GB) 2022-04-12 23:40:10 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3640000 (1 GB) 2022-04-12 23:40:10 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3641000 (1 GB) 2022-04-12 23:40:10 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3642000 (1 GB) 2022-04-12 23:40:10 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3643000 (1 GB) 2022-04-12 23:40:11 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3644000 (1 GB) 2022-04-12 23:40:11 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3645000 (1 GB) 2022-04-12 23:40:11 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3646000 (1 GB) 2022-04-12 23:40:12 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3647000 (1 GB) 2022-04-12 23:40:12 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3648000 (1 GB) 2022-04-12 23:40:12 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3649000 (1 GB) 2022-04-12 23:40:13 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3650000 (1 GB) 2022-04-12 23:40:13 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3651000 (1 GB) 2022-04-12 23:40:13 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3652000 (1 GB) 2022-04-12 23:40:14 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3653000 (1 GB) 2022-04-12 23:40:14 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3654000 (1 GB) 2022-04-12 23:40:14 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3655000 (1 GB) 2022-04-12 23:40:14 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3656000 (1 GB) 2022-04-12 23:40:15 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3657000 (1 GB) 2022-04-12 23:40:15 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3658000 (1 GB) 2022-04-12 23:40:15 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3659000 (1 GB) 2022-04-12 23:40:16 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3660000 (1 GB) 2022-04-12 23:40:16 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3661000 (1 GB) 2022-04-12 23:40:16 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3662000 (1 GB) 2022-04-12 23:40:17 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3663000 (1 GB) 2022-04-12 23:40:17 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3664000 (1 GB) 2022-04-12 23:40:17 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3665000 (1 GB) 2022-04-12 23:40:17 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3666000 (1 GB) 2022-04-12 23:40:18 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3667000 (1 GB) 2022-04-12 23:40:18 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3668000 (1 GB) 2022-04-12 23:40:18 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3669000 (1 GB) 2022-04-12 23:40:19 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3670000 (1 GB) 2022-04-12 23:40:19 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3671000 (1 GB) 2022-04-12 23:40:19 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3672000 (1 GB) 2022-04-12 23:40:19 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3673000 (1 GB) 2022-04-12 23:40:20 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3674000 (1 GB) 2022-04-12 23:40:20 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3675000 (1 GB) 2022-04-12 23:40:20 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3676000 (1 GB) 2022-04-12 23:40:21 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3677000 (1 GB) 2022-04-12 23:40:21 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3678000 (1 GB) 2022-04-12 23:40:21 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3679000 (1 GB) 2022-04-12 23:40:22 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3680000 (1 GB) 2022-04-12 23:40:22 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3681000 (1 GB) 2022-04-12 23:40:22 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3682000 (1 GB) 2022-04-12 23:40:22 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3683000 (1 GB) 2022-04-12 23:40:23 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3684000 (1 GB) 2022-04-12 23:40:23 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3685000 (1 GB) 2022-04-12 23:40:23 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3686000 (1 GB) 2022-04-12 23:40:24 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3687000 (1 GB) 2022-04-12 23:40:24 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3688000 (1 GB) 2022-04-12 23:40:24 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3689000 (1 GB) 2022-04-12 23:40:24 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3690000 (1 GB) 2022-04-12 23:40:25 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3691000 (1 GB) 2022-04-12 23:40:25 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3692000 (1 GB) 2022-04-12 23:40:25 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3693000 (1 GB) 2022-04-12 23:40:26 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3694000 (1 GB) 2022-04-12 23:40:26 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3695000 (1 GB) 2022-04-12 23:40:26 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3696000 (1 GB) 2022-04-12 23:40:26 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3697000 (1 GB) 2022-04-12 23:40:27 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3698000 (1 GB) 2022-04-12 23:40:27 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3699000 (1 GB) 2022-04-12 23:40:27 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3700000 (1 GB) 2022-04-12 23:40:28 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3701000 (1 GB) 2022-04-12 23:40:28 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3702000 (1 GB) 2022-04-12 23:40:28 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3703000 (1 GB) 2022-04-12 23:40:28 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3704000 (1 GB) 2022-04-12 23:40:29 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3705000 (1 GB) 2022-04-12 23:40:29 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3706000 (1 GB) 2022-04-12 23:40:29 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3707000 (1 GB) 2022-04-12 23:40:30 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3708000 (1 GB) 2022-04-12 23:40:30 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3709000 (1 GB) 2022-04-12 23:40:30 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3710000 (1 GB) 2022-04-12 23:40:30 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3711000 (1 GB) 2022-04-12 23:40:31 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3712000 (1 GB) 2022-04-12 23:40:31 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3713000 (1 GB) 2022-04-12 23:40:31 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3714000 (1 GB) 2022-04-12 23:40:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3715000 (1 GB) 2022-04-12 23:40:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3716000 (1 GB) 2022-04-12 23:40:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3717000 (1 GB) 2022-04-12 23:40:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3718000 (1 GB) 2022-04-12 23:40:33 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3719000 (1 GB) 2022-04-12 23:40:33 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3720000 (1 GB) 2022-04-12 23:40:34 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3721000 (1 GB) 2022-04-12 23:40:34 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3722000 (1 GB) 2022-04-12 23:40:37 destination > 2022-04-12 23:40:37 INFO i.a.i.d.r.SerializedBufferingStrategy(flushWriter):82 - Flushing buffer of stream contacts_list_memberships (200 MB) 2022-04-12 23:40:37 destination > 2022-04-12 23:40:37 INFO i.a.i.d.b.BigQueryStagingConsumerFactory(lambda$flushBufferFunction$4):115 - Flushing buffer for stream contacts_list_memberships (200 MB) to staging 2022-04-12 23:40:37 destination > 2022-04-12 23:40:37 INFO i.a.i.d.r.BaseSerializedBuffer(flush):138 - Finished writing data to 0332c785-4786-4d31-a693-c2754921c46f10334331014308445241.avro (200 MB) 2022-04-12 23:40:37 destination > 2022-04-12 23:40:37 INFO i.a.i.d.b.BigQueryGcsOperations(uploadRecordsToStage):108 - Uploading records to staging for stream contacts_list_memberships (dataset hubspot_): product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-12 23:40:37 destination > 2022-04-12 23:40:37 INFO i.a.i.d.s.u.StreamTransferManagerHelper(getDefault):55 - PartSize arg is set to 5 MB 2022-04-12 23:40:37 destination > 2022-04-12 23:40:37 INFO a.m.s.StreamTransferManager(getMultiPartOutputStreams):329 - Initiated multipart upload to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with full ID ABPnzm4yg7yd1_k1iexNFWUn_vVhiTuyd9B-c6qvnWUnoFHPJRMoN794QbPUl5v-wcrvMXim 2022-04-12 23:40:37 destination > 2022-04-12 23:40:37 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm4yg...-wcrvMXim]: Finished uploading [Part number 2 containing 5.01 MB] 2022-04-12 23:40:37 destination > 2022-04-12 23:40:37 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm4yg...-wcrvMXim]: Finished uploading [Part number 3 containing 5.01 MB] 2022-04-12 23:40:37 destination > 2022-04-12 23:40:37 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm4yg...-wcrvMXim]: Finished uploading [Part number 4 containing 5.01 MB] 2022-04-12 23:40:37 destination > 2022-04-12 23:40:37 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm4yg...-wcrvMXim]: Finished uploading [Part number 1 containing 5.01 MB] 2022-04-12 23:40:37 destination > 2022-04-12 23:40:37 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm4yg...-wcrvMXim]: Finished uploading [Part number 5 containing 5.01 MB] 2022-04-12 23:40:37 destination > 2022-04-12 23:40:37 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm4yg...-wcrvMXim]: Finished uploading [Part number 7 containing 5.01 MB] 2022-04-12 23:40:38 destination > 2022-04-12 23:40:38 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm4yg...-wcrvMXim]: Finished uploading [Part number 8 containing 5.01 MB] 2022-04-12 23:40:38 destination > 2022-04-12 23:40:38 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm4yg...-wcrvMXim]: Finished uploading [Part number 6 containing 5.01 MB] 2022-04-12 23:40:38 destination > 2022-04-12 23:40:38 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm4yg...-wcrvMXim]: Finished uploading [Part number 10 containing 5.01 MB] 2022-04-12 23:40:38 destination > 2022-04-12 23:40:38 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm4yg...-wcrvMXim]: Finished uploading [Part number 12 containing 5.01 MB] 2022-04-12 23:40:38 destination > 2022-04-12 23:40:38 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm4yg...-wcrvMXim]: Finished uploading [Part number 13 containing 5.01 MB] 2022-04-12 23:40:38 destination > 2022-04-12 23:40:38 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm4yg...-wcrvMXim]: Finished uploading [Part number 9 containing 5.01 MB] 2022-04-12 23:40:38 destination > 2022-04-12 23:40:38 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm4yg...-wcrvMXim]: Finished uploading [Part number 11 containing 5.01 MB] 2022-04-12 23:40:38 destination > 2022-04-12 23:40:38 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm4yg...-wcrvMXim]: Finished uploading [Part number 14 containing 5.01 MB] 2022-04-12 23:40:38 destination > 2022-04-12 23:40:38 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm4yg...-wcrvMXim]: Finished uploading [Part number 16 containing 5.01 MB] 2022-04-12 23:40:38 destination > 2022-04-12 23:40:38 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm4yg...-wcrvMXim]: Finished uploading [Part number 15 containing 5.01 MB] 2022-04-12 23:40:38 destination > 2022-04-12 23:40:38 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm4yg...-wcrvMXim]: Finished uploading [Part number 19 containing 5.01 MB] 2022-04-12 23:40:38 destination > 2022-04-12 23:40:38 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm4yg...-wcrvMXim]: Finished uploading [Part number 17 containing 5.01 MB] 2022-04-12 23:40:38 destination > 2022-04-12 23:40:38 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm4yg...-wcrvMXim]: Finished uploading [Part number 20 containing 5.01 MB] 2022-04-12 23:40:38 destination > 2022-04-12 23:40:38 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm4yg...-wcrvMXim]: Finished uploading [Part number 22 containing 5.01 MB] 2022-04-12 23:40:38 destination > 2022-04-12 23:40:38 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm4yg...-wcrvMXim]: Finished uploading [Part number 18 containing 5.01 MB] 2022-04-12 23:40:38 destination > 2022-04-12 23:40:38 INFO a.m.s.MultiPartOutputStream(close):158 - Called close() on [MultipartOutputStream for parts 1 - 10000] 2022-04-12 23:40:38 destination > 2022-04-12 23:40:38 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm4yg...-wcrvMXim]: Finished uploading [Part number 23 containing 5.01 MB] 2022-04-12 23:40:38 destination > 2022-04-12 23:40:38 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm4yg...-wcrvMXim]: Finished uploading [Part number 26 containing 5.01 MB] 2022-04-12 23:40:38 destination > 2022-04-12 23:40:38 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm4yg...-wcrvMXim]: Finished uploading [Part number 21 containing 5.01 MB] 2022-04-12 23:40:34 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3723000 (1 GB) 2022-04-12 23:40:34 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3724000 (1 GB) 2022-04-12 23:40:35 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3725000 (1 GB) 2022-04-12 23:40:35 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3726000 (1 GB) 2022-04-12 23:40:35 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3727000 (1 GB) 2022-04-12 23:40:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3728000 (1 GB) 2022-04-12 23:40:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3729000 (1 GB) 2022-04-12 23:40:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3730000 (1 GB) 2022-04-12 23:40:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3731000 (1 GB) 2022-04-12 23:40:37 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3732000 (1 GB) 2022-04-12 23:40:37 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3733000 (1 GB) 2022-04-12 23:40:37 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3734000 (1 GB) 2022-04-12 23:40:38 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3735000 (1 GB) 2022-04-12 23:40:38 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3736000 (1 GB) 2022-04-12 23:40:38 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3737000 (1 GB) 2022-04-12 23:40:38 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3738000 (1 GB) 2022-04-12 23:40:39 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3739000 (1 GB) 2022-04-12 23:40:40 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3740000 (1 GB) 2022-04-12 23:40:40 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3741000 (1 GB) 2022-04-12 23:40:40 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3742000 (1 GB) 2022-04-12 23:40:40 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3743000 (1 GB) 2022-04-12 23:40:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3744000 (1 GB) 2022-04-12 23:40:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3745000 (1 GB) 2022-04-12 23:40:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3746000 (1 GB) 2022-04-12 23:40:42 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3747000 (1 GB) 2022-04-12 23:40:42 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3748000 (1 GB) 2022-04-12 23:40:42 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3749000 (1 GB) 2022-04-12 23:40:43 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3750000 (1 GB) 2022-04-12 23:40:43 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3751000 (1 GB) 2022-04-12 23:40:43 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3752000 (1 GB) 2022-04-12 23:40:43 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3753000 (1 GB) 2022-04-12 23:40:44 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3754000 (1 GB) 2022-04-12 23:40:44 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3755000 (1 GB) 2022-04-12 23:40:44 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3756000 (1 GB) 2022-04-12 23:40:45 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3757000 (1 GB) 2022-04-12 23:40:45 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3758000 (1 GB) 2022-04-12 23:40:45 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3759000 (1 GB) 2022-04-12 23:40:45 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3760000 (1 GB) 2022-04-12 23:40:46 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3761000 (1 GB) 2022-04-12 23:40:46 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3762000 (1 GB) 2022-04-12 23:40:46 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3763000 (1 GB) 2022-04-12 23:40:47 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3764000 (1 GB) 2022-04-12 23:40:47 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3765000 (1 GB) 2022-04-12 23:40:47 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3766000 (1 GB) 2022-04-12 23:40:47 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3767000 (1 GB) 2022-04-12 23:40:48 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3768000 (1 GB) 2022-04-12 23:40:48 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3769000 (1 GB) 2022-04-12 23:40:48 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3770000 (1 GB) 2022-04-12 23:40:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3771000 (1 GB) 2022-04-12 23:40:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3772000 (1 GB) 2022-04-12 23:40:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3773000 (1 GB) 2022-04-12 23:40:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3774000 (1 GB) 2022-04-12 23:40:50 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3775000 (1 GB) 2022-04-12 23:40:50 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3776000 (1 GB) 2022-04-12 23:40:50 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3777000 (1 GB) 2022-04-12 23:40:51 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3778000 (1 GB) 2022-04-12 23:40:51 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3779000 (1 GB) 2022-04-12 23:40:51 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3780000 (1 GB) 2022-04-12 23:40:51 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3781000 (1 GB) 2022-04-12 23:40:52 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3782000 (1 GB) 2022-04-12 23:40:52 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3783000 (1 GB) 2022-04-12 23:40:52 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3784000 (1 GB) 2022-04-12 23:40:53 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3785000 (1 GB) 2022-04-12 23:40:54 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3786000 (1 GB) 2022-04-12 23:40:54 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3787000 (1 GB) 2022-04-12 23:40:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3788000 (1 GB) 2022-04-12 23:40:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3789000 (1 GB) 2022-04-12 23:40:56 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3790000 (1 GB) 2022-04-12 23:40:56 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3791000 (1 GB) 2022-04-12 23:40:56 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3792000 (1 GB) 2022-04-12 23:40:57 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3793000 (1 GB) 2022-04-12 23:40:57 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3794000 (1 GB) 2022-04-12 23:40:57 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3795000 (1 GB) 2022-04-12 23:40:57 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3796000 (1 GB) 2022-04-12 23:40:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3797000 (1 GB) 2022-04-12 23:40:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3798000 (1 GB) 2022-04-12 23:40:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3799000 (1 GB) 2022-04-12 23:40:59 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3800000 (1 GB) 2022-04-12 23:40:59 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3801000 (1 GB) 2022-04-12 23:40:59 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3802000 (1 GB) 2022-04-12 23:40:59 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3803000 (1 GB) 2022-04-12 23:41:00 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3804000 (1 GB) 2022-04-12 23:41:00 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3805000 (1 GB) 2022-04-12 23:41:01 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3806000 (1 GB) 2022-04-12 23:41:01 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3807000 (1 GB) 2022-04-12 23:41:01 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3808000 (1 GB) 2022-04-12 23:41:02 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3809000 (1 GB) 2022-04-12 23:41:02 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3810000 (1 GB) 2022-04-12 23:41:02 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3811000 (1 GB) 2022-04-12 23:41:03 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3812000 (1 GB) 2022-04-12 23:41:03 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3813000 (1 GB) 2022-04-12 23:41:03 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3814000 (1 GB) 2022-04-12 23:41:04 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3815000 (1 GB) 2022-04-12 23:41:04 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3816000 (1 GB) 2022-04-12 23:41:04 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3817000 (1 GB) 2022-04-12 23:41:04 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3818000 (1 GB) 2022-04-12 23:41:05 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3819000 (1 GB) 2022-04-12 23:41:05 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3820000 (1 GB) 2022-04-12 23:41:06 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3821000 (1 GB) 2022-04-12 23:41:06 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3822000 (1 GB) 2022-04-12 23:41:06 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3823000 (1 GB) 2022-04-12 23:41:07 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3824000 (1 GB) 2022-04-12 23:41:07 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3825000 (1 GB) 2022-04-12 23:41:07 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3826000 (1 GB) 2022-04-12 23:41:07 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3827000 (1 GB) 2022-04-12 23:41:08 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3828000 (1 GB) 2022-04-12 23:41:08 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3829000 (1 GB) 2022-04-12 23:41:08 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3830000 (1 GB) 2022-04-12 23:41:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3831000 (1 GB) 2022-04-12 23:41:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3832000 (1 GB) 2022-04-12 23:41:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3833000 (1 GB) 2022-04-12 23:41:10 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3834000 (1 GB) 2022-04-12 23:41:10 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3835000 (1 GB) 2022-04-12 23:41:10 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3836000 (1 GB) 2022-04-12 23:41:11 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3837000 (1 GB) 2022-04-12 23:41:11 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3838000 (1 GB) 2022-04-12 23:41:11 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3839000 (1 GB) 2022-04-12 23:41:11 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3840000 (1 GB) 2022-04-12 23:41:12 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3841000 (1 GB) 2022-04-12 23:41:12 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3842000 (1 GB) 2022-04-12 23:41:12 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3843000 (1 GB) 2022-04-12 23:41:13 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3844000 (1 GB) 2022-04-12 23:41:13 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3845000 (1 GB) 2022-04-12 23:41:14 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3846000 (1 GB) 2022-04-12 23:41:14 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3847000 (1 GB) 2022-04-12 23:41:14 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3848000 (1 GB) 2022-04-12 23:41:15 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3849000 (1 GB) 2022-04-12 23:41:15 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3850000 (1 GB) 2022-04-12 23:41:15 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3851000 (1 GB) 2022-04-12 23:41:15 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3852000 (1 GB) 2022-04-12 23:41:16 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3853000 (1 GB) 2022-04-12 23:41:16 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3854000 (1 GB) 2022-04-12 23:41:16 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3855000 (1 GB) 2022-04-12 23:41:17 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3856000 (1 GB) 2022-04-12 23:41:18 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3857000 (1 GB) 2022-04-12 23:41:18 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3858000 (1 GB) 2022-04-12 23:41:19 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3859000 (1 GB) 2022-04-12 23:41:19 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3860000 (1 GB) 2022-04-12 23:41:20 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3861000 (1 GB) 2022-04-12 23:41:20 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3862000 (1 GB) 2022-04-12 23:41:20 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3863000 (1 GB) 2022-04-12 23:41:20 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3864000 (1 GB) 2022-04-12 23:41:21 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3865000 (1 GB) 2022-04-12 23:41:21 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3866000 (1 GB) 2022-04-12 23:41:21 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3867000 (1 GB) 2022-04-12 23:41:22 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3868000 (1 GB) 2022-04-12 23:41:22 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3869000 (1 GB) 2022-04-12 23:41:23 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3870000 (1 GB) 2022-04-12 23:41:23 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3871000 (1 GB) 2022-04-12 23:41:23 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3872000 (1 GB) 2022-04-12 23:41:23 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3873000 (1 GB) 2022-04-12 23:41:24 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3874000 (1 GB) 2022-04-12 23:41:24 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3875000 (1 GB) 2022-04-12 23:41:24 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3876000 (1 GB) 2022-04-12 23:41:25 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3877000 (1 GB) 2022-04-12 23:41:25 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3878000 (1 GB) 2022-04-12 23:41:25 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3879000 (1 GB) 2022-04-12 23:41:26 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3880000 (1 GB) 2022-04-12 23:41:26 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3881000 (1 GB) 2022-04-12 23:41:26 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3882000 (1 GB) 2022-04-12 23:41:26 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3883000 (1 GB) 2022-04-12 23:41:27 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3884000 (1 GB) 2022-04-12 23:41:27 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3885000 (1 GB) 2022-04-12 23:41:28 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3886000 (1 GB) 2022-04-12 23:41:28 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3887000 (1 GB) 2022-04-12 23:41:28 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3888000 (1 GB) 2022-04-12 23:41:28 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3889000 (1 GB) 2022-04-12 23:41:29 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3890000 (1 GB) 2022-04-12 23:41:29 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3891000 (1 GB) 2022-04-12 23:41:29 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3892000 (1 GB) 2022-04-12 23:41:30 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3893000 (1 GB) 2022-04-12 23:41:30 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3894000 (1 GB) 2022-04-12 23:41:31 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3895000 (1 GB) 2022-04-12 23:41:31 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3896000 (1 GB) 2022-04-12 23:41:31 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3897000 (1 GB) 2022-04-12 23:41:31 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3898000 (1 GB) 2022-04-12 23:41:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3899000 (1 GB) 2022-04-12 23:41:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3900000 (1 GB) 2022-04-12 23:41:33 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3901000 (1 GB) 2022-04-12 23:41:33 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3902000 (1 GB) 2022-04-12 23:41:33 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3903000 (1 GB) 2022-04-12 23:41:34 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3904000 (1 GB) 2022-04-12 23:41:34 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3905000 (1 GB) 2022-04-12 23:40:38 destination > 2022-04-12 23:40:38 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm4yg...-wcrvMXim]: Finished uploading [Part number 24 containing 5.01 MB] 2022-04-12 23:40:38 destination > 2022-04-12 23:40:38 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm4yg...-wcrvMXim]: Finished uploading [Part number 27 containing 5.01 MB] 2022-04-12 23:40:38 destination > 2022-04-12 23:40:38 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm4yg...-wcrvMXim]: Finished uploading [Part number 25 containing 5.01 MB] 2022-04-12 23:40:38 destination > 2022-04-12 23:40:38 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm4yg...-wcrvMXim]: Finished uploading [Part number 28 containing 5.01 MB] 2022-04-12 23:40:38 destination > 2022-04-12 23:40:38 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm4yg...-wcrvMXim]: Finished uploading [Part number 29 containing 5.01 MB] 2022-04-12 23:40:38 destination > 2022-04-12 23:40:38 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm4yg...-wcrvMXim]: Finished uploading [Part number 30 containing 5.01 MB] 2022-04-12 23:40:38 destination > 2022-04-12 23:40:38 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm4yg...-wcrvMXim]: Finished uploading [Part number 32 containing 5.01 MB] 2022-04-12 23:40:38 destination > 2022-04-12 23:40:38 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm4yg...-wcrvMXim]: Finished uploading [Part number 31 containing 5.01 MB] 2022-04-12 23:40:38 destination > 2022-04-12 23:40:38 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm4yg...-wcrvMXim]: Finished uploading [Part number 33 containing 5.01 MB] 2022-04-12 23:40:38 destination > 2022-04-12 23:40:38 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm4yg...-wcrvMXim]: Finished uploading [Part number 34 containing 5.01 MB] 2022-04-12 23:40:38 destination > 2022-04-12 23:40:38 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm4yg...-wcrvMXim]: Finished uploading [Part number 35 containing 5.01 MB] 2022-04-12 23:40:38 destination > 2022-04-12 23:40:38 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm4yg...-wcrvMXim]: Finished uploading [Part number 37 containing 5.01 MB] 2022-04-12 23:40:38 destination > 2022-04-12 23:40:38 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm4yg...-wcrvMXim]: Finished uploading [Part number 38 containing 5.01 MB] 2022-04-12 23:40:38 destination > 2022-04-12 23:40:38 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm4yg...-wcrvMXim]: Finished uploading [Part number 36 containing 5.01 MB] 2022-04-12 23:40:38 destination > 2022-04-12 23:40:38 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm4yg...-wcrvMXim]: Finished uploading [Part number 39 containing 9.74 MB] 2022-04-12 23:40:38 destination > 2022-04-12 23:40:38 INFO a.m.s.StreamTransferManager(complete):395 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm4yg...-wcrvMXim]: Completed 2022-04-12 23:40:38 destination > 2022-04-12 23:40:38 INFO i.a.i.d.s.S3StorageOperations(loadDataIntoBucket):161 - Uploaded buffer file to storage: 0332c785-4786-4d31-a693-c2754921c46f10334331014308445241.avro -> product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro (filename: 3.avro) 2022-04-12 23:40:38 destination > 2022-04-12 23:40:38 INFO i.a.i.d.b.BigQueryWriteConfig(addStagedFile):53 - Added staged file: 3.avro 2022-04-12 23:40:38 destination > 2022-04-12 23:40:38 INFO i.a.i.d.r.FileBuffer(deleteFile):81 - Deleting tempFile data 0332c785-4786-4d31-a693-c2754921c46f10334331014308445241.avro 2022-04-12 23:40:38 destination > 2022-04-12 23:40:38 INFO i.a.i.d.r.SerializedBufferingStrategy(lambda$addRecord$0):55 - Starting a new buffer for stream contacts_list_memberships (current state: 119 MB in 4 buffers) 2022-04-12 23:40:38 destination > 2022-04-12 23:40:38 INFO i.a.i.d.g.u.GcsUtils(getDefaultAvroSchema):25 - Default schema. 2022-04-12 23:41:34 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3906000 (1 GB) 2022-04-12 23:41:34 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3907000 (1 GB) 2022-04-12 23:41:35 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3908000 (1 GB) 2022-04-12 23:41:35 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3909000 (1 GB) 2022-04-12 23:41:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3910000 (1 GB) 2022-04-12 23:41:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3911000 (1 GB) 2022-04-12 23:41:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3912000 (1 GB) 2022-04-12 23:41:37 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3913000 (1 GB) 2022-04-12 23:41:37 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3914000 (1 GB) 2022-04-12 23:41:37 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3915000 (1 GB) 2022-04-12 23:41:38 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3916000 (1 GB) 2022-04-12 23:41:39 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3917000 (1 GB) 2022-04-12 23:41:39 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3918000 (1 GB) 2022-04-12 23:41:39 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3919000 (1 GB) 2022-04-12 23:41:40 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3920000 (1 GB) 2022-04-12 23:41:40 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3921000 (1 GB) 2022-04-12 23:41:40 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3922000 (1 GB) 2022-04-12 23:41:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3923000 (1 GB) 2022-04-12 23:41:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3924000 (1 GB) 2022-04-12 23:41:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3925000 (1 GB) 2022-04-12 23:41:42 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3926000 (1 GB) 2022-04-12 23:41:42 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3927000 (1 GB) 2022-04-12 23:41:42 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3928000 (1 GB) 2022-04-12 23:41:43 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3929000 (1 GB) 2022-04-12 23:41:43 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3930000 (1 GB) 2022-04-12 23:41:44 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3931000 (1 GB) 2022-04-12 23:41:44 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3932000 (1 GB) 2022-04-12 23:41:44 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3933000 (1 GB) 2022-04-12 23:41:45 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3934000 (1 GB) 2022-04-12 23:41:45 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3935000 (1 GB) 2022-04-12 23:41:45 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3936000 (1 GB) 2022-04-12 23:41:46 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3937000 (1 GB) 2022-04-12 23:41:46 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3938000 (1 GB) 2022-04-12 23:41:46 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3939000 (1 GB) 2022-04-12 23:41:47 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3940000 (1 GB) 2022-04-12 23:41:47 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3941000 (1 GB) 2022-04-12 23:41:47 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3942000 (1 GB) 2022-04-12 23:41:48 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3943000 (1 GB) 2022-04-12 23:41:48 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3944000 (1 GB) 2022-04-12 23:41:48 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3945000 (1 GB) 2022-04-12 23:41:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3946000 (1 GB) 2022-04-12 23:41:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3947000 (1 GB) 2022-04-12 23:41:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3948000 (1 GB) 2022-04-12 23:41:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3949000 (1 GB) 2022-04-12 23:41:50 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3950000 (1 GB) 2022-04-12 23:41:50 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3951000 (1 GB) 2022-04-12 23:41:50 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3952000 (1 GB) 2022-04-12 23:41:50 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3953000 (1 GB) 2022-04-12 23:41:51 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3954000 (1 GB) 2022-04-12 23:41:51 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3955000 (1 GB) 2022-04-12 23:41:51 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3956000 (1 GB) 2022-04-12 23:41:52 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3957000 (1 GB) 2022-04-12 23:41:52 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3958000 (1 GB) 2022-04-12 23:41:52 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3959000 (1 GB) 2022-04-12 23:41:53 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3960000 (1 GB) 2022-04-12 23:41:53 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3961000 (1 GB) 2022-04-12 23:41:54 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3962000 (1 GB) 2022-04-12 23:41:54 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3963000 (1 GB) 2022-04-12 23:41:54 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3964000 (1 GB) 2022-04-12 23:41:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3965000 (1 GB) 2022-04-12 23:41:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3966000 (1 GB) 2022-04-12 23:41:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3967000 (1 GB) 2022-04-12 23:41:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3968000 (1 GB) 2022-04-12 23:41:56 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3969000 (1 GB) 2022-04-12 23:41:56 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3970000 (1 GB) 2022-04-12 23:41:56 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3971000 (1 GB) 2022-04-12 23:41:57 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3972000 (1 GB) 2022-04-12 23:41:57 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3973000 (1 GB) 2022-04-12 23:41:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3974000 (1 GB) 2022-04-12 23:41:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3975000 (1 GB) 2022-04-12 23:41:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3976000 (1 GB) 2022-04-12 23:41:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3977000 (1 GB) 2022-04-12 23:41:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3978000 (1 GB) 2022-04-12 23:41:59 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3979000 (1 GB) 2022-04-12 23:41:59 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3980000 (1 GB) 2022-04-12 23:41:59 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3981000 (1 GB) 2022-04-12 23:42:00 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3982000 (1 GB) 2022-04-12 23:42:00 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3983000 (1 GB) 2022-04-12 23:42:01 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3984000 (1 GB) 2022-04-12 23:42:01 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3985000 (1 GB) 2022-04-12 23:42:01 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3986000 (1 GB) 2022-04-12 23:42:02 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3987000 (1 GB) 2022-04-12 23:42:02 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3988000 (1 GB) 2022-04-12 23:42:02 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3989000 (1 GB) 2022-04-12 23:42:03 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3990000 (1 GB) 2022-04-12 23:42:03 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3991000 (1 GB) 2022-04-12 23:42:03 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3992000 (1 GB) 2022-04-12 23:42:04 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3993000 (1 GB) 2022-04-12 23:42:04 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3994000 (1 GB) 2022-04-12 23:42:04 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3995000 (1 GB) 2022-04-12 23:42:05 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3996000 (1 GB) 2022-04-12 23:42:05 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3997000 (1 GB) 2022-04-12 23:42:05 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3998000 (1 GB) 2022-04-12 23:42:06 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 3999000 (1 GB) 2022-04-12 23:42:06 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4000000 (1 GB) 2022-04-12 23:42:06 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4001000 (1 GB) 2022-04-12 23:42:07 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4002000 (1 GB) 2022-04-12 23:42:07 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4003000 (1 GB) 2022-04-12 23:42:07 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4004000 (1 GB) 2022-04-12 23:42:07 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4005000 (1 GB) 2022-04-12 23:42:08 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4006000 (1 GB) 2022-04-12 23:42:08 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4007000 (1 GB) 2022-04-12 23:42:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4008000 (1 GB) 2022-04-12 23:42:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4009000 (1 GB) 2022-04-12 23:42:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4010000 (1 GB) 2022-04-12 23:42:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4011000 (1 GB) 2022-04-12 23:42:10 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4012000 (1 GB) 2022-04-12 23:42:10 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4013000 (1 GB) 2022-04-12 23:42:10 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4014000 (1 GB) 2022-04-12 23:42:11 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4015000 (1 GB) 2022-04-12 23:42:11 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4016000 (1 GB) 2022-04-12 23:42:11 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4017000 (1 GB) 2022-04-12 23:42:11 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4018000 (1 GB) 2022-04-12 23:42:12 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4019000 (1 GB) 2022-04-12 23:42:12 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4020000 (1 GB) 2022-04-12 23:42:12 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4021000 (1 GB) 2022-04-12 23:42:13 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4022000 (1 GB) 2022-04-12 23:42:13 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4023000 (1 GB) 2022-04-12 23:42:13 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4024000 (1 GB) 2022-04-12 23:42:13 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4025000 (1 GB) 2022-04-12 23:42:14 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4026000 (1 GB) 2022-04-12 23:42:14 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4027000 (1 GB) 2022-04-12 23:42:14 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4028000 (1 GB) 2022-04-12 23:42:15 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4029000 (1 GB) 2022-04-12 23:42:15 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4030000 (1 GB) 2022-04-12 23:42:15 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4031000 (1 GB) 2022-04-12 23:42:16 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4032000 (1 GB) 2022-04-12 23:42:16 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4033000 (1 GB) 2022-04-12 23:42:16 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4034000 (1 GB) 2022-04-12 23:42:17 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4035000 (1 GB) 2022-04-12 23:42:17 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4036000 (1 GB) 2022-04-12 23:42:18 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4037000 (1 GB) 2022-04-12 23:42:18 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4038000 (1 GB) 2022-04-12 23:42:19 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4039000 (1 GB) 2022-04-12 23:42:19 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4040000 (1 GB) 2022-04-12 23:42:19 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4041000 (1 GB) 2022-04-12 23:42:19 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4042000 (1 GB) 2022-04-12 23:42:20 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4043000 (1 GB) 2022-04-12 23:42:20 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4044000 (1 GB) 2022-04-12 23:42:21 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4045000 (1 GB) 2022-04-12 23:42:21 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4046000 (1 GB) 2022-04-12 23:42:21 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4047000 (1 GB) 2022-04-12 23:42:22 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4048000 (1 GB) 2022-04-12 23:42:22 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4049000 (1 GB) 2022-04-12 23:42:22 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4050000 (1 GB) 2022-04-12 23:42:22 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4051000 (1 GB) 2022-04-12 23:42:23 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4052000 (1 GB) 2022-04-12 23:42:23 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4053000 (1 GB) 2022-04-12 23:42:24 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4054000 (1 GB) 2022-04-12 23:42:24 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4055000 (1 GB) 2022-04-12 23:42:24 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4056000 (1 GB) 2022-04-12 23:42:24 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4057000 (1 GB) 2022-04-12 23:42:25 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4058000 (1 GB) 2022-04-12 23:42:25 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4059000 (1 GB) 2022-04-12 23:42:25 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4060000 (1 GB) 2022-04-12 23:42:26 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4061000 (1 GB) 2022-04-12 23:42:26 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4062000 (1 GB) 2022-04-12 23:42:26 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4063000 (1 GB) 2022-04-12 23:42:26 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4064000 (1 GB) 2022-04-12 23:42:27 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4065000 (1 GB) 2022-04-12 23:42:27 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4066000 (1 GB) 2022-04-12 23:42:27 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4067000 (1 GB) 2022-04-12 23:42:28 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4068000 (1 GB) 2022-04-12 23:42:28 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4069000 (1 GB) 2022-04-12 23:42:28 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4070000 (1 GB) 2022-04-12 23:42:28 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4071000 (1 GB) 2022-04-12 23:42:29 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4072000 (1 GB) 2022-04-12 23:42:29 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4073000 (1 GB) 2022-04-12 23:42:30 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4074000 (1 GB) 2022-04-12 23:42:30 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4075000 (1 GB) 2022-04-12 23:42:30 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4076000 (1 GB) 2022-04-12 23:42:30 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4077000 (1 GB) 2022-04-12 23:42:31 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4078000 (1 GB) 2022-04-12 23:42:31 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4079000 (1 GB) 2022-04-12 23:42:31 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4080000 (1 GB) 2022-04-12 23:42:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4081000 (1 GB) 2022-04-12 23:42:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4082000 (1 GB) 2022-04-12 23:42:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4083000 (1 GB) 2022-04-12 23:42:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4084000 (1 GB) 2022-04-12 23:42:33 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4085000 (1 GB) 2022-04-12 23:42:33 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4086000 (1 GB) 2022-04-12 23:42:33 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4087000 (1 GB) 2022-04-12 23:42:33 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4088000 (1 GB) 2022-04-12 23:42:34 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4089000 (1 GB) 2022-04-12 23:42:34 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4090000 (1 GB) 2022-04-12 23:42:34 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4091000 (1 GB) 2022-04-12 23:42:35 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4092000 (1 GB) 2022-04-12 23:42:35 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4093000 (1 GB) 2022-04-12 23:42:35 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4094000 (1 GB) 2022-04-12 23:42:35 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4095000 (1 GB) 2022-04-12 23:42:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4096000 (1 GB) 2022-04-12 23:42:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4097000 (1 GB) 2022-04-12 23:42:37 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4098000 (1 GB) 2022-04-12 23:42:37 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4099000 (1 GB) 2022-04-12 23:42:37 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4100000 (1 GB) 2022-04-12 23:42:37 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4101000 (1 GB) 2022-04-12 23:42:38 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4102000 (1 GB) 2022-04-12 23:42:38 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4103000 (1 GB) 2022-04-12 23:42:39 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4104000 (1 GB) 2022-04-12 23:42:39 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4105000 (1 GB) 2022-04-12 23:42:39 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4106000 (1 GB) 2022-04-12 23:42:39 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4107000 (1 GB) 2022-04-12 23:42:40 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4108000 (1 GB) 2022-04-12 23:42:40 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4109000 (1 GB) 2022-04-12 23:42:40 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4110000 (1 GB) 2022-04-12 23:42:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4111000 (1 GB) 2022-04-12 23:42:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4112000 (1 GB) 2022-04-12 23:42:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4113000 (1 GB) 2022-04-12 23:42:42 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4114000 (1 GB) 2022-04-12 23:42:42 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4115000 (1 GB) 2022-04-12 23:42:42 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4116000 (1 GB) 2022-04-12 23:42:43 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4117000 (1 GB) 2022-04-12 23:42:43 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4118000 (1 GB) 2022-04-12 23:42:43 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4119000 (1 GB) 2022-04-12 23:42:44 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4120000 (1 GB) 2022-04-12 23:42:44 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4121000 (1 GB) 2022-04-12 23:42:44 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4122000 (1 GB) 2022-04-12 23:42:45 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4123000 (1 GB) 2022-04-12 23:42:45 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4124000 (1 GB) 2022-04-12 23:42:45 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4125000 (1 GB) 2022-04-12 23:42:46 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4126000 (1 GB) 2022-04-12 23:42:46 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4127000 (1 GB) 2022-04-12 23:42:46 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4128000 (1 GB) 2022-04-12 23:42:47 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4129000 (1 GB) 2022-04-12 23:42:47 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4130000 (1 GB) 2022-04-12 23:42:47 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4131000 (1 GB) 2022-04-12 23:42:48 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4132000 (1 GB) 2022-04-12 23:42:48 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4133000 (1 GB) 2022-04-12 23:42:48 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4134000 (1 GB) 2022-04-12 23:42:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4135000 (1 GB) 2022-04-12 23:42:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4136000 (1 GB) 2022-04-12 23:42:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4137000 (1 GB) 2022-04-12 23:42:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4138000 (1 GB) 2022-04-12 23:42:50 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4139000 (1 GB) 2022-04-12 23:42:50 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4140000 (1 GB) 2022-04-12 23:42:50 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4141000 (1 GB) 2022-04-12 23:42:51 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4142000 (1 GB) 2022-04-12 23:42:51 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4143000 (1 GB) 2022-04-12 23:42:51 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4144000 (1 GB) 2022-04-12 23:42:52 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4145000 (1 GB) 2022-04-12 23:42:52 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4146000 (1 GB) 2022-04-12 23:42:52 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4147000 (1 GB) 2022-04-12 23:42:52 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4148000 (1 GB) 2022-04-12 23:42:52 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4149000 (1 GB) 2022-04-12 23:42:53 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4150000 (1 GB) 2022-04-12 23:42:53 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4151000 (1 GB) 2022-04-12 23:42:54 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4152000 (1 GB) 2022-04-12 23:42:54 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4153000 (1 GB) 2022-04-12 23:42:54 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4154000 (1 GB) 2022-04-12 23:42:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4155000 (1 GB) 2022-04-12 23:42:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4156000 (1 GB) 2022-04-12 23:42:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4157000 (1 GB) 2022-04-12 23:42:56 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4158000 (1 GB) 2022-04-12 23:42:56 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4159000 (1 GB) 2022-04-12 23:42:56 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4160000 (1 GB) 2022-04-12 23:42:56 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4161000 (1 GB) 2022-04-12 23:42:57 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4162000 (1 GB) 2022-04-12 23:42:57 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4163000 (1 GB) 2022-04-12 23:42:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4164000 (1 GB) 2022-04-12 23:42:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4165000 (1 GB) 2022-04-12 23:42:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4166000 (1 GB) 2022-04-12 23:42:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4167000 (1 GB) 2022-04-12 23:42:59 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4168000 (1 GB) 2022-04-12 23:42:59 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4169000 (1 GB) 2022-04-12 23:42:59 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4170000 (1 GB) 2022-04-12 23:42:59 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4171000 (1 GB) 2022-04-12 23:43:01 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4172000 (1 GB) 2022-04-12 23:43:01 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4173000 (1 GB) 2022-04-12 23:43:01 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4174000 (1 GB) 2022-04-12 23:43:02 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4175000 (1 GB) 2022-04-12 23:43:02 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4176000 (1 GB) 2022-04-12 23:43:02 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4177000 (1 GB) 2022-04-12 23:43:03 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4178000 (1 GB) 2022-04-12 23:43:03 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4179000 (1 GB) 2022-04-12 23:43:03 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4180000 (1 GB) 2022-04-12 23:43:04 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4181000 (1 GB) 2022-04-12 23:43:04 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4182000 (1 GB) 2022-04-12 23:43:04 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4183000 (1 GB) 2022-04-12 23:43:05 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4184000 (1 GB) 2022-04-12 23:43:06 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4185000 (1 GB) 2022-04-12 23:43:06 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4186000 (1 GB) 2022-04-12 23:43:06 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4187000 (1 GB) 2022-04-12 23:43:06 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4188000 (1 GB) 2022-04-12 23:43:07 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4189000 (1 GB) 2022-04-12 23:43:07 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4190000 (1 GB) 2022-04-12 23:43:07 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4191000 (1 GB) 2022-04-12 23:43:07 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4192000 (1 GB) 2022-04-12 23:43:08 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4193000 (1 GB) 2022-04-12 23:43:08 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4194000 (1 GB) 2022-04-12 23:43:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4195000 (1 GB) 2022-04-12 23:43:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4196000 (1 GB) 2022-04-12 23:43:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4197000 (1 GB) 2022-04-12 23:43:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4198000 (1 GB) 2022-04-12 23:43:10 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4199000 (1 GB) 2022-04-12 23:43:10 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4200000 (1 GB) 2022-04-12 23:43:11 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4201000 (1 GB) 2022-04-12 23:43:11 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4202000 (1 GB) 2022-04-12 23:43:11 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4203000 (1 GB) 2022-04-12 23:43:12 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4204000 (1 GB) 2022-04-12 23:43:12 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4205000 (1 GB) 2022-04-12 23:43:12 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4206000 (1 GB) 2022-04-12 23:43:12 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4207000 (1 GB) 2022-04-12 23:43:13 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4208000 (1 GB) 2022-04-12 23:43:13 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4209000 (1 GB) 2022-04-12 23:43:13 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4210000 (1 GB) 2022-04-12 23:43:14 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4211000 (1 GB) 2022-04-12 23:43:14 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4212000 (1 GB) 2022-04-12 23:43:15 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4213000 (1 GB) 2022-04-12 23:43:15 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4214000 (1 GB) 2022-04-12 23:43:15 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4215000 (1 GB) 2022-04-12 23:43:16 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4216000 (1 GB) 2022-04-12 23:43:17 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4217000 (1 GB) 2022-04-12 23:43:17 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4218000 (1 GB) 2022-04-12 23:43:17 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4219000 (1 GB) 2022-04-12 23:43:18 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4220000 (1 GB) 2022-04-12 23:43:18 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4221000 (1 GB) 2022-04-12 23:43:19 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4222000 (1 GB) 2022-04-12 23:43:19 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4223000 (1 GB) 2022-04-12 23:43:19 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4224000 (1 GB) 2022-04-12 23:43:20 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4225000 (1 GB) 2022-04-12 23:43:20 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4226000 (1 GB) 2022-04-12 23:43:21 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4227000 (1 GB) 2022-04-12 23:43:21 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4228000 (1 GB) 2022-04-12 23:43:21 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4229000 (1 GB) 2022-04-12 23:43:22 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4230000 (1 GB) 2022-04-12 23:43:22 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4231000 (1 GB) 2022-04-12 23:43:22 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4232000 (1 GB) 2022-04-12 23:43:22 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4233000 (1 GB) 2022-04-12 23:43:23 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4234000 (1 GB) 2022-04-12 23:43:23 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4235000 (1 GB) 2022-04-12 23:43:23 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4236000 (1 GB) 2022-04-12 23:43:24 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4237000 (1 GB) 2022-04-12 23:43:24 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4238000 (1 GB) 2022-04-12 23:43:24 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4239000 (1 GB) 2022-04-12 23:43:25 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4240000 (1 GB) 2022-04-12 23:43:25 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4241000 (1 GB) 2022-04-12 23:43:25 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4242000 (1 GB) 2022-04-12 23:43:25 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4243000 (1 GB) 2022-04-12 23:43:26 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4244000 (1 GB) 2022-04-12 23:43:26 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4245000 (1 GB) 2022-04-12 23:43:26 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4246000 (1 GB) 2022-04-12 23:43:27 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4247000 (1 GB) 2022-04-12 23:43:27 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4248000 (1 GB) 2022-04-12 23:43:28 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4249000 (1 GB) 2022-04-12 23:43:28 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4250000 (1 GB) 2022-04-12 23:43:28 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4251000 (1 GB) 2022-04-12 23:43:29 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4252000 (1 GB) 2022-04-12 23:43:29 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4253000 (1 GB) 2022-04-12 23:43:29 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4254000 (1 GB) 2022-04-12 23:43:30 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4255000 (1 GB) 2022-04-12 23:43:30 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4256000 (1 GB) 2022-04-12 23:43:30 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4257000 (1 GB) 2022-04-12 23:43:30 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4258000 (1 GB) 2022-04-12 23:43:31 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4259000 (1 GB) 2022-04-12 23:43:31 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4260000 (1 GB) 2022-04-12 23:43:31 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4261000 (1 GB) 2022-04-12 23:43:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4262000 (1 GB) 2022-04-12 23:43:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4263000 (1 GB) 2022-04-12 23:43:33 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4264000 (1 GB) 2022-04-12 23:43:33 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4265000 (1 GB) 2022-04-12 23:43:33 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4266000 (1 GB) 2022-04-12 23:43:33 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4267000 (1 GB) 2022-04-12 23:43:34 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4268000 (1 GB) 2022-04-12 23:43:34 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4269000 (1 GB) 2022-04-12 23:43:35 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4270000 (1 GB) 2022-04-12 23:43:35 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4271000 (1 GB) 2022-04-12 23:43:35 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4272000 (1 GB) 2022-04-12 23:43:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4273000 (1 GB) 2022-04-12 23:43:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4274000 (1 GB) 2022-04-12 23:43:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4275000 (1 GB) 2022-04-12 23:43:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4276000 (1 GB) 2022-04-12 23:43:37 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4277000 (1 GB) 2022-04-12 23:43:37 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4278000 (1 GB) 2022-04-12 23:43:37 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4279000 (1 GB) 2022-04-12 23:43:38 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4280000 (1 GB) 2022-04-12 23:43:38 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4281000 (1 GB) 2022-04-12 23:43:38 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4282000 (1 GB) 2022-04-12 23:43:39 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4283000 (1 GB) 2022-04-12 23:43:40 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4284000 (1 GB) 2022-04-12 23:43:40 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4285000 (1 GB) 2022-04-12 23:43:40 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4286000 (1 GB) 2022-04-12 23:43:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4287000 (1 GB) 2022-04-12 23:43:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4288000 (1 GB) 2022-04-12 23:43:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4289000 (1 GB) 2022-04-12 23:43:42 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4290000 (1 GB) 2022-04-12 23:43:42 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4291000 (1 GB) 2022-04-12 23:43:43 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4292000 (1 GB) 2022-04-12 23:43:43 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4293000 (1 GB) 2022-04-12 23:43:43 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4294000 (1 GB) 2022-04-12 23:43:43 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4295000 (1 GB) 2022-04-12 23:43:44 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4296000 (1 GB) 2022-04-12 23:43:44 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4297000 (1 GB) 2022-04-12 23:43:44 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4298000 (1 GB) 2022-04-12 23:43:45 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4299000 (1 GB) 2022-04-12 23:43:45 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4300000 (1 GB) 2022-04-12 23:43:45 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4301000 (1 GB) 2022-04-12 23:43:46 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4302000 (1 GB) 2022-04-12 23:43:46 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4303000 (1 GB) 2022-04-12 23:43:46 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4304000 (1 GB) 2022-04-12 23:43:46 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4305000 (1 GB) 2022-04-12 23:43:47 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4306000 (1 GB) 2022-04-12 23:43:47 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4307000 (1 GB) 2022-04-12 23:43:47 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4308000 (1 GB) 2022-04-12 23:43:48 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4309000 (1 GB) 2022-04-12 23:43:48 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4310000 (1 GB) 2022-04-12 23:43:48 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4311000 (1 GB) 2022-04-12 23:43:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4312000 (1 GB) 2022-04-12 23:43:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4313000 (1 GB) 2022-04-12 23:43:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4314000 (1 GB) 2022-04-12 23:43:50 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4315000 (1 GB) 2022-04-12 23:43:50 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4316000 (1 GB) 2022-04-12 23:43:50 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4317000 (1 GB) 2022-04-12 23:43:51 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4318000 (1 GB) 2022-04-12 23:43:51 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4319000 (1 GB) 2022-04-12 23:43:51 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4320000 (1 GB) 2022-04-12 23:43:52 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4321000 (1 GB) 2022-04-12 23:43:52 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4322000 (1 GB) 2022-04-12 23:43:52 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4323000 (1 GB) 2022-04-12 23:43:53 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4324000 (1 GB) 2022-04-12 23:43:53 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4325000 (1 GB) 2022-04-12 23:43:53 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4326000 (1 GB) 2022-04-12 23:43:53 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4327000 (1 GB) 2022-04-12 23:43:54 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4328000 (1 GB) 2022-04-12 23:43:54 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4329000 (1 GB) 2022-04-12 23:43:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4330000 (1 GB) 2022-04-12 23:43:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4331000 (1 GB) 2022-04-12 23:43:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4332000 (1 GB) 2022-04-12 23:43:56 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4333000 (1 GB) 2022-04-12 23:43:56 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4334000 (1 GB) 2022-04-12 23:43:57 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4335000 (1 GB) 2022-04-12 23:43:57 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4336000 (1 GB) 2022-04-12 23:43:57 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4337000 (1 GB) 2022-04-12 23:43:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4338000 (1 GB) 2022-04-12 23:43:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4339000 (1 GB) 2022-04-12 23:43:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4340000 (1 GB) 2022-04-12 23:43:59 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4341000 (1 GB) 2022-04-12 23:43:59 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4342000 (1 GB) 2022-04-12 23:43:59 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4343000 (1 GB) 2022-04-12 23:43:59 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4344000 (1 GB) 2022-04-12 23:44:00 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4345000 (1 GB) 2022-04-12 23:44:01 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4346000 (1 GB) 2022-04-12 23:44:01 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4347000 (1 GB) 2022-04-12 23:44:01 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4348000 (1 GB) 2022-04-12 23:44:01 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4349000 (1 GB) 2022-04-12 23:44:02 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4350000 (1 GB) 2022-04-12 23:44:02 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4351000 (1 GB) 2022-04-12 23:44:03 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4352000 (1 GB) 2022-04-12 23:44:03 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4353000 (1 GB) 2022-04-12 23:44:03 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4354000 (1 GB) 2022-04-12 23:44:04 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4355000 (1 GB) 2022-04-12 23:44:04 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4356000 (1 GB) 2022-04-12 23:44:04 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4357000 (1 GB) 2022-04-12 23:44:05 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4358000 (1 GB) 2022-04-12 23:44:05 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4359000 (1 GB) 2022-04-12 23:44:05 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4360000 (1 GB) 2022-04-12 23:44:06 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4361000 (1 GB) 2022-04-12 23:44:06 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4362000 (1 GB) 2022-04-12 23:44:06 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4363000 (1 GB) 2022-04-12 23:44:06 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4364000 (1 GB) 2022-04-12 23:44:07 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4365000 (1 GB) 2022-04-12 23:44:07 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4366000 (1 GB) 2022-04-12 23:44:08 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4367000 (1 GB) 2022-04-12 23:44:08 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4368000 (1 GB) 2022-04-12 23:44:08 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4369000 (1 GB) 2022-04-12 23:44:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4370000 (1 GB) 2022-04-12 23:44:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4371000 (1 GB) 2022-04-12 23:44:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4372000 (1 GB) 2022-04-12 23:44:10 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4373000 (1 GB) 2022-04-12 23:44:10 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4374000 (1 GB) 2022-04-12 23:44:10 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4375000 (1 GB) 2022-04-12 23:44:10 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4376000 (1 GB) 2022-04-12 23:44:11 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4377000 (1 GB) 2022-04-12 23:44:11 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4378000 (1 GB) 2022-04-12 23:44:11 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4379000 (1 GB) 2022-04-12 23:44:12 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4380000 (1 GB) 2022-04-12 23:44:12 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4381000 (1 GB) 2022-04-12 23:44:12 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4382000 (1 GB) 2022-04-12 23:44:13 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4383000 (1 GB) 2022-04-12 23:44:13 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4384000 (1 GB) 2022-04-12 23:44:13 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4385000 (1 GB) 2022-04-12 23:44:13 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4386000 (1 GB) 2022-04-12 23:44:14 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4387000 (1 GB) 2022-04-12 23:44:14 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4388000 (1 GB) 2022-04-12 23:44:15 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4389000 (1 GB) 2022-04-12 23:44:15 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4390000 (1 GB) 2022-04-12 23:44:15 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4391000 (1 GB) 2022-04-12 23:44:15 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4392000 (1 GB) 2022-04-12 23:44:16 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4393000 (1 GB) 2022-04-12 23:44:16 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4394000 (1 GB) 2022-04-12 23:44:16 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4395000 (1 GB) 2022-04-12 23:44:17 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4396000 (1 GB) 2022-04-12 23:44:17 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4397000 (1 GB) 2022-04-12 23:44:17 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4398000 (1 GB) 2022-04-12 23:44:18 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4399000 (1 GB) 2022-04-12 23:44:18 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4400000 (1 GB) 2022-04-12 23:44:18 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4401000 (1 GB) 2022-04-12 23:44:19 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4402000 (1 GB) 2022-04-12 23:44:19 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4403000 (1 GB) 2022-04-12 23:44:19 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4404000 (1 GB) 2022-04-12 23:44:19 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4405000 (1 GB) 2022-04-12 23:44:20 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4406000 (1 GB) 2022-04-12 23:44:20 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4407000 (1 GB) 2022-04-12 23:44:20 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4408000 (1 GB) 2022-04-12 23:44:21 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4409000 (1 GB) 2022-04-12 23:44:21 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4410000 (1 GB) 2022-04-12 23:44:21 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4411000 (1 GB) 2022-04-12 23:44:22 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4412000 (1 GB) 2022-04-12 23:44:22 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4413000 (1 GB) 2022-04-12 23:44:23 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4414000 (1 GB) 2022-04-12 23:44:23 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4415000 (1 GB) 2022-04-12 23:44:23 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4416000 (1 GB) 2022-04-12 23:44:24 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4417000 (1 GB) 2022-04-12 23:44:24 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4418000 (1 GB) 2022-04-12 23:44:24 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4419000 (1 GB) 2022-04-12 23:44:25 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4420000 (1 GB) 2022-04-12 23:44:25 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4421000 (1 GB) 2022-04-12 23:44:25 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4422000 (1 GB) 2022-04-12 23:44:26 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4423000 (1 GB) 2022-04-12 23:44:26 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4424000 (1 GB) 2022-04-12 23:44:26 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4425000 (1 GB) 2022-04-12 23:44:27 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4426000 (1 GB) 2022-04-12 23:44:27 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4427000 (1 GB) 2022-04-12 23:44:28 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4428000 (1 GB) 2022-04-12 23:44:28 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4429000 (1 GB) 2022-04-12 23:44:28 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4430000 (1 GB) 2022-04-12 23:44:29 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4431000 (1 GB) 2022-04-12 23:44:29 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4432000 (1 GB) 2022-04-12 23:44:29 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4433000 (1 GB) 2022-04-12 23:44:30 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4434000 (1 GB) 2022-04-12 23:44:30 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4435000 (1 GB) 2022-04-12 23:44:31 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4436000 (1 GB) 2022-04-12 23:44:31 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4437000 (1 GB) 2022-04-12 23:44:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4438000 (1 GB) 2022-04-12 23:44:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4439000 (1 GB) 2022-04-12 23:44:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4440000 (1 GB) 2022-04-12 23:44:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4441000 (1 GB) 2022-04-12 23:44:33 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4442000 (1 GB) 2022-04-12 23:44:33 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4443000 (1 GB) 2022-04-12 23:44:33 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4444000 (1 GB) 2022-04-12 23:44:34 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4445000 (1 GB) 2022-04-12 23:44:34 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4446000 (1 GB) 2022-04-12 23:44:35 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4447000 (1 GB) 2022-04-12 23:44:35 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4448000 (1 GB) 2022-04-12 23:44:35 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4449000 (1 GB) 2022-04-12 23:44:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4450000 (1 GB) 2022-04-12 23:44:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4451000 (1 GB) 2022-04-12 23:44:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4452000 (1 GB) 2022-04-12 23:44:37 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4453000 (1 GB) 2022-04-12 23:44:37 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4454000 (1 GB) 2022-04-12 23:44:37 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4455000 (1 GB) 2022-04-12 23:44:38 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4456000 (1 GB) 2022-04-12 23:44:38 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4457000 (1 GB) 2022-04-12 23:44:38 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4458000 (1 GB) 2022-04-12 23:44:39 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4459000 (1 GB) 2022-04-12 23:44:39 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4460000 (1 GB) 2022-04-12 23:44:39 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4461000 (1 GB) 2022-04-12 23:44:40 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4462000 (1 GB) 2022-04-12 23:44:40 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4463000 (1 GB) 2022-04-12 23:44:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4464000 (1 GB) 2022-04-12 23:44:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4465000 (1 GB) 2022-04-12 23:44:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4466000 (1 GB) 2022-04-12 23:44:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4467000 (1 GB) 2022-04-12 23:44:42 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4468000 (1 GB) 2022-04-12 23:44:42 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4469000 (1 GB) 2022-04-12 23:44:42 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4470000 (1 GB) 2022-04-12 23:44:43 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4471000 (1 GB) 2022-04-12 23:44:43 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4472000 (1 GB) 2022-04-12 23:44:43 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4473000 (1 GB) 2022-04-12 23:44:44 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4474000 (1 GB) 2022-04-12 23:44:44 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4475000 (1 GB) 2022-04-12 23:44:45 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4476000 (1 GB) 2022-04-12 23:44:45 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4477000 (1 GB) 2022-04-12 23:44:45 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4478000 (1 GB) 2022-04-12 23:44:46 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4479000 (1 GB) 2022-04-12 23:44:46 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4480000 (1 GB) 2022-04-12 23:44:46 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4481000 (1 GB) 2022-04-12 23:44:47 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4482000 (1 GB) 2022-04-12 23:44:47 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4483000 (1 GB) 2022-04-12 23:44:47 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4484000 (1 GB) 2022-04-12 23:44:47 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4485000 (1 GB) 2022-04-12 23:44:48 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4486000 (1 GB) 2022-04-12 23:44:48 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4487000 (1 GB) 2022-04-12 23:44:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4488000 (1 GB) 2022-04-12 23:44:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4489000 (1 GB) 2022-04-12 23:44:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4490000 (1 GB) 2022-04-12 23:44:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4491000 (1 GB) 2022-04-12 23:44:50 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4492000 (1 GB) 2022-04-12 23:44:50 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4493000 (1 GB) 2022-04-12 23:44:50 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4494000 (1 GB) 2022-04-12 23:44:51 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4495000 (1 GB) 2022-04-12 23:44:51 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4496000 (1 GB) 2022-04-12 23:44:52 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4497000 (1 GB) 2022-04-12 23:44:52 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4498000 (1 GB) 2022-04-12 23:44:52 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4499000 (1 GB) 2022-04-12 23:44:52 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4500000 (1 GB) 2022-04-12 23:44:53 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4501000 (1 GB) 2022-04-12 23:44:53 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4502000 (1 GB) 2022-04-12 23:44:53 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4503000 (1 GB) 2022-04-12 23:44:54 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4504000 (1 GB) 2022-04-12 23:44:54 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4505000 (1 GB) 2022-04-12 23:44:54 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4506000 (1 GB) 2022-04-12 23:44:54 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4507000 (1 GB) 2022-04-12 23:44:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4508000 (1 GB) 2022-04-12 23:44:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4509000 (1 GB) 2022-04-12 23:44:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4510000 (1 GB) 2022-04-12 23:44:56 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4511000 (1 GB) 2022-04-12 23:44:56 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4512000 (1 GB) 2022-04-12 23:44:56 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4513000 (1 GB) 2022-04-12 23:44:57 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4514000 (1 GB) 2022-04-12 23:44:57 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4515000 (1 GB) 2022-04-12 23:44:57 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4516000 (1 GB) 2022-04-12 23:44:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4517000 (1 GB) 2022-04-12 23:44:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4518000 (1 GB) 2022-04-12 23:44:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4519000 (1 GB) 2022-04-12 23:44:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4520000 (1 GB) 2022-04-12 23:44:59 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4521000 (1 GB) 2022-04-12 23:44:59 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4522000 (1 GB) 2022-04-12 23:45:00 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4523000 (1 GB) 2022-04-12 23:45:00 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4524000 (1 GB) 2022-04-12 23:45:00 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4525000 (1 GB) 2022-04-12 23:45:00 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4526000 (1 GB) 2022-04-12 23:45:01 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4527000 (1 GB) 2022-04-12 23:45:01 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4528000 (1 GB) 2022-04-12 23:45:02 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4529000 (1 GB) 2022-04-12 23:45:02 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4530000 (1 GB) 2022-04-12 23:45:02 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4531000 (1 GB) 2022-04-12 23:45:03 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4532000 (1 GB) 2022-04-12 23:45:03 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4533000 (1 GB) 2022-04-12 23:45:03 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4534000 (1 GB) 2022-04-12 23:45:04 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4535000 (1 GB) 2022-04-12 23:45:04 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4536000 (1 GB) 2022-04-12 23:45:04 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4537000 (1 GB) 2022-04-12 23:45:05 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4538000 (1 GB) 2022-04-12 23:45:05 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4539000 (1 GB) 2022-04-12 23:45:05 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4540000 (1 GB) 2022-04-12 23:45:05 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4541000 (1 GB) 2022-04-12 23:45:06 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4542000 (1 GB) 2022-04-12 23:45:06 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4543000 (1 GB) 2022-04-12 23:45:06 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4544000 (1 GB) 2022-04-12 23:45:07 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4545000 (1 GB) 2022-04-12 23:45:07 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4546000 (1 GB) 2022-04-12 23:45:07 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4547000 (1 GB) 2022-04-12 23:45:08 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4548000 (1 GB) 2022-04-12 23:45:08 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4549000 (1 GB) 2022-04-12 23:45:08 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4550000 (1 GB) 2022-04-12 23:45:08 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4551000 (1 GB) 2022-04-12 23:45:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4552000 (1 GB) 2022-04-12 23:45:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4553000 (1 GB) 2022-04-12 23:45:10 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4554000 (1 GB) 2022-04-12 23:45:10 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4555000 (1 GB) 2022-04-12 23:45:10 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4556000 (1 GB) 2022-04-12 23:45:11 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4557000 (1 GB) 2022-04-12 23:45:11 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4558000 (1 GB) 2022-04-12 23:45:11 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4559000 (1 GB) 2022-04-12 23:45:12 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4560000 (1 GB) 2022-04-12 23:45:12 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4561000 (1 GB) 2022-04-12 23:45:13 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4562000 (1 GB) 2022-04-12 23:45:13 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4563000 (1 GB) 2022-04-12 23:45:13 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4564000 (1 GB) 2022-04-12 23:45:13 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4565000 (1 GB) 2022-04-12 23:45:14 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4566000 (1 GB) 2022-04-12 23:45:14 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4567000 (1 GB) 2022-04-12 23:45:15 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4568000 (1 GB) 2022-04-12 23:45:15 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4569000 (1 GB) 2022-04-12 23:45:15 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4570000 (1 GB) 2022-04-12 23:45:16 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4571000 (1 GB) 2022-04-12 23:45:16 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4572000 (1 GB) 2022-04-12 23:45:17 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4573000 (1 GB) 2022-04-12 23:45:17 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4574000 (1 GB) 2022-04-12 23:45:17 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4575000 (1 GB) 2022-04-12 23:45:17 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4576000 (1 GB) 2022-04-12 23:45:18 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4577000 (1 GB) 2022-04-12 23:45:18 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4578000 (1 GB) 2022-04-12 23:45:19 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4579000 (1 GB) 2022-04-12 23:45:19 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4580000 (1 GB) 2022-04-12 23:45:19 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4581000 (1 GB) 2022-04-12 23:45:20 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4582000 (1 GB) 2022-04-12 23:45:20 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4583000 (1 GB) 2022-04-12 23:45:20 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4584000 (1 GB) 2022-04-12 23:45:21 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4585000 (1 GB) 2022-04-12 23:45:21 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4586000 (1 GB) 2022-04-12 23:45:21 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4587000 (1 GB) 2022-04-12 23:45:22 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4588000 (1 GB) 2022-04-12 23:45:22 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4589000 (1 GB) 2022-04-12 23:45:22 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4590000 (1 GB) 2022-04-12 23:45:22 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4591000 (1 GB) 2022-04-12 23:45:23 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4592000 (1 GB) 2022-04-12 23:45:23 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4593000 (1 GB) 2022-04-12 23:45:24 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4594000 (1 GB) 2022-04-12 23:45:24 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4595000 (1 GB) 2022-04-12 23:45:24 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4596000 (1 GB) 2022-04-12 23:45:24 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4597000 (1 GB) 2022-04-12 23:45:25 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4598000 (1 GB) 2022-04-12 23:45:25 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4599000 (1 GB) 2022-04-12 23:45:26 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4600000 (1 GB) 2022-04-12 23:45:26 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4601000 (1 GB) 2022-04-12 23:45:26 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4602000 (1 GB) 2022-04-12 23:45:27 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4603000 (1 GB) 2022-04-12 23:45:27 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4604000 (1 GB) 2022-04-12 23:45:27 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4605000 (1 GB) 2022-04-12 23:45:28 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4606000 (1 GB) 2022-04-12 23:45:28 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4607000 (1 GB) 2022-04-12 23:45:28 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4608000 (1 GB) 2022-04-12 23:45:28 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4609000 (1 GB) 2022-04-12 23:45:29 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4610000 (1 GB) 2022-04-12 23:45:29 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4611000 (1 GB) 2022-04-12 23:45:29 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4612000 (1 GB) 2022-04-12 23:45:30 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4613000 (1 GB) 2022-04-12 23:45:30 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4614000 (1 GB) 2022-04-12 23:45:30 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4615000 (1 GB) 2022-04-12 23:45:31 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4616000 (1 GB) 2022-04-12 23:45:31 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4617000 (1 GB) 2022-04-12 23:45:31 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4618000 (1 GB) 2022-04-12 23:45:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4619000 (1 GB) 2022-04-12 23:45:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4620000 (1 GB) 2022-04-12 23:45:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4621000 (1 GB) 2022-04-12 23:45:33 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4622000 (1 GB) 2022-04-12 23:45:33 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4623000 (1 GB) 2022-04-12 23:45:33 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4624000 (1 GB) 2022-04-12 23:45:34 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4625000 (1 GB) 2022-04-12 23:45:34 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4626000 (1 GB) 2022-04-12 23:45:34 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4627000 (1 GB) 2022-04-12 23:45:35 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4628000 (1 GB) 2022-04-12 23:45:35 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4629000 (1 GB) 2022-04-12 23:45:35 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4630000 (1 GB) 2022-04-12 23:45:35 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4631000 (1 GB) 2022-04-12 23:45:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4632000 (1 GB) 2022-04-12 23:45:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4633000 (1 GB) 2022-04-12 23:45:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4634000 (1 GB) 2022-04-12 23:45:37 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4635000 (1 GB) 2022-04-12 23:45:37 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4636000 (1 GB) 2022-04-12 23:45:37 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4637000 (1 GB) 2022-04-12 23:45:38 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4638000 (1 GB) 2022-04-12 23:45:38 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4639000 (1 GB) 2022-04-12 23:45:38 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4640000 (1 GB) 2022-04-12 23:45:39 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4641000 (1 GB) 2022-04-12 23:45:39 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4642000 (1 GB) 2022-04-12 23:45:39 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4643000 (1 GB) 2022-04-12 23:45:40 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4644000 (1 GB) 2022-04-12 23:45:40 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4645000 (1 GB) 2022-04-12 23:45:40 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4646000 (1 GB) 2022-04-12 23:45:40 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4647000 (1 GB) 2022-04-12 23:45:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4648000 (1 GB) 2022-04-12 23:45:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4649000 (1 GB) 2022-04-12 23:45:42 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4650000 (1 GB) 2022-04-12 23:45:42 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4651000 (1 GB) 2022-04-12 23:45:43 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4652000 (1 GB) 2022-04-12 23:45:43 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4653000 (1 GB) 2022-04-12 23:45:43 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4654000 (1 GB) 2022-04-12 23:45:43 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4655000 (1 GB) 2022-04-12 23:45:44 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4656000 (1 GB) 2022-04-12 23:45:44 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4657000 (1 GB) 2022-04-12 23:45:44 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4658000 (1 GB) 2022-04-12 23:45:45 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4659000 (1 GB) 2022-04-12 23:45:45 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4660000 (1 GB) 2022-04-12 23:45:46 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4661000 (1 GB) 2022-04-12 23:45:46 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4662000 (1 GB) 2022-04-12 23:45:46 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4663000 (1 GB) 2022-04-12 23:45:46 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4664000 (1 GB) 2022-04-12 23:45:47 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4665000 (1 GB) 2022-04-12 23:45:47 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4666000 (1 GB) 2022-04-12 23:45:48 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4667000 (1 GB) 2022-04-12 23:45:48 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4668000 (1 GB) 2022-04-12 23:45:48 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4669000 (1 GB) 2022-04-12 23:45:48 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4670000 (1 GB) 2022-04-12 23:45:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4671000 (1 GB) 2022-04-12 23:45:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4672000 (1 GB) 2022-04-12 23:45:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4673000 (1 GB) 2022-04-12 23:45:50 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4674000 (1 GB) 2022-04-12 23:45:50 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4675000 (1 GB) 2022-04-12 23:45:50 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4676000 (1 GB) 2022-04-12 23:45:51 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4677000 (1 GB) 2022-04-12 23:45:51 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4678000 (1 GB) 2022-04-12 23:45:51 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4679000 (1 GB) 2022-04-12 23:45:52 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4680000 (1 GB) 2022-04-12 23:45:52 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4681000 (1 GB) 2022-04-12 23:45:52 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4682000 (1 GB) 2022-04-12 23:45:53 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4683000 (1 GB) 2022-04-12 23:45:53 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4684000 (1 GB) 2022-04-12 23:45:53 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4685000 (1 GB) 2022-04-12 23:45:54 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4686000 (1 GB) 2022-04-12 23:45:54 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4687000 (1 GB) 2022-04-12 23:45:54 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4688000 (1 GB) 2022-04-12 23:45:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4689000 (1 GB) 2022-04-12 23:45:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4690000 (1 GB) 2022-04-12 23:45:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4691000 (1 GB) 2022-04-12 23:45:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4692000 (1 GB) 2022-04-12 23:45:56 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4693000 (1 GB) 2022-04-12 23:45:56 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4694000 (1 GB) 2022-04-12 23:45:56 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4695000 (1 GB) 2022-04-12 23:45:57 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4696000 (1 GB) 2022-04-12 23:45:57 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4697000 (1 GB) 2022-04-12 23:45:57 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4698000 (1 GB) 2022-04-12 23:45:57 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4699000 (1 GB) 2022-04-12 23:45:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4700000 (1 GB) 2022-04-12 23:45:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4701000 (1 GB) 2022-04-12 23:45:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4702000 (1 GB) 2022-04-12 23:45:59 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4703000 (1 GB) 2022-04-12 23:45:59 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4704000 (1 GB) 2022-04-12 23:45:59 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4705000 (1 GB) 2022-04-12 23:46:00 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4706000 (1 GB) 2022-04-12 23:46:00 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4707000 (1 GB) 2022-04-12 23:46:00 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4708000 (1 GB) 2022-04-12 23:46:01 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4709000 (1 GB) 2022-04-12 23:46:01 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4710000 (1 GB) 2022-04-12 23:46:01 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4711000 (1 GB) 2022-04-12 23:46:02 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4712000 (1 GB) 2022-04-12 23:46:02 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4713000 (1 GB) 2022-04-12 23:46:03 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4714000 (1 GB) 2022-04-12 23:46:03 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4715000 (1 GB) 2022-04-12 23:46:03 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4716000 (1 GB) 2022-04-12 23:46:04 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4717000 (1 GB) 2022-04-12 23:46:04 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4718000 (1 GB) 2022-04-12 23:46:04 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4719000 (1 GB) 2022-04-12 23:46:04 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4720000 (1 GB) 2022-04-12 23:46:05 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4721000 (1 GB) 2022-04-12 23:46:05 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4722000 (1 GB) 2022-04-12 23:46:06 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4723000 (1 GB) 2022-04-12 23:46:06 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4724000 (1 GB) 2022-04-12 23:46:06 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4725000 (1 GB) 2022-04-12 23:46:06 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4726000 (1 GB) 2022-04-12 23:46:07 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4727000 (1 GB) 2022-04-12 23:46:07 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4728000 (1 GB) 2022-04-12 23:46:08 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4729000 (1 GB) 2022-04-12 23:46:08 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4730000 (1 GB) 2022-04-12 23:46:08 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4731000 (1 GB) 2022-04-12 23:46:08 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4732000 (1 GB) 2022-04-12 23:46:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4733000 (1 GB) 2022-04-12 23:46:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4734000 (1 GB) 2022-04-12 23:46:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4735000 (1 GB) 2022-04-12 23:46:10 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4736000 (1 GB) 2022-04-12 23:46:10 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4737000 (1 GB) 2022-04-12 23:46:10 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4738000 (1 GB) 2022-04-12 23:46:11 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4739000 (1 GB) 2022-04-12 23:46:11 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4740000 (1 GB) 2022-04-12 23:46:11 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4741000 (1 GB) 2022-04-12 23:46:12 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4742000 (1 GB) 2022-04-12 23:46:12 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4743000 (1 GB) 2022-04-12 23:46:12 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4744000 (1 GB) 2022-04-12 23:46:12 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4745000 (1 GB) 2022-04-12 23:46:13 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4746000 (1 GB) 2022-04-12 23:46:13 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4747000 (1 GB) 2022-04-12 23:46:13 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4748000 (1 GB) 2022-04-12 23:46:14 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4749000 (1 GB) 2022-04-12 23:46:14 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4750000 (1 GB) 2022-04-12 23:46:14 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4751000 (1 GB) 2022-04-12 23:46:15 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4752000 (1 GB) 2022-04-12 23:46:15 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4753000 (1 GB) 2022-04-12 23:46:16 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4754000 (1 GB) 2022-04-12 23:46:16 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4755000 (1 GB) 2022-04-12 23:46:17 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4756000 (1 GB) 2022-04-12 23:46:17 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4757000 (1 GB) 2022-04-12 23:46:17 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4758000 (1 GB) 2022-04-12 23:46:18 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4759000 (1 GB) 2022-04-12 23:46:18 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4760000 (1 GB) 2022-04-12 23:46:18 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4761000 (1 GB) 2022-04-12 23:46:19 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4762000 (1 GB) 2022-04-12 23:46:19 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4763000 (1 GB) 2022-04-12 23:46:19 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4764000 (1 GB) 2022-04-12 23:46:20 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4765000 (1 GB) 2022-04-12 23:46:20 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4766000 (1 GB) 2022-04-12 23:46:20 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4767000 (1 GB) 2022-04-12 23:46:21 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4768000 (1 GB) 2022-04-12 23:46:21 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4769000 (1 GB) 2022-04-12 23:46:21 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4770000 (1 GB) 2022-04-12 23:46:22 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4771000 (1 GB) 2022-04-12 23:46:22 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4772000 (1 GB) 2022-04-12 23:46:23 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4773000 (1 GB) 2022-04-12 23:46:23 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4774000 (1 GB) 2022-04-12 23:46:23 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4775000 (1 GB) 2022-04-12 23:46:23 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4776000 (1 GB) 2022-04-12 23:46:24 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4777000 (1 GB) 2022-04-12 23:46:24 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4778000 (1 GB) 2022-04-12 23:46:25 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4779000 (1 GB) 2022-04-12 23:46:25 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4780000 (1 GB) 2022-04-12 23:46:26 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4781000 (1 GB) 2022-04-12 23:46:26 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4782000 (1 GB) 2022-04-12 23:46:26 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4783000 (1 GB) 2022-04-12 23:46:27 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4784000 (1 GB) 2022-04-12 23:46:27 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4785000 (1 GB) 2022-04-12 23:46:27 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4786000 (1 GB) 2022-04-12 23:46:28 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4787000 (1 GB) 2022-04-12 23:46:28 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4788000 (1 GB) 2022-04-12 23:46:28 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4789000 (1 GB) 2022-04-12 23:46:29 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4790000 (1 GB) 2022-04-12 23:46:29 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4791000 (1 GB) 2022-04-12 23:46:29 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4792000 (1 GB) 2022-04-12 23:46:30 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4793000 (1 GB) 2022-04-12 23:46:30 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4794000 (1 GB) 2022-04-12 23:46:30 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4795000 (1 GB) 2022-04-12 23:46:30 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4796000 (1 GB) 2022-04-12 23:46:31 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4797000 (1 GB) 2022-04-12 23:46:31 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4798000 (1 GB) 2022-04-12 23:46:31 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4799000 (1 GB) 2022-04-12 23:46:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4800000 (1 GB) 2022-04-12 23:46:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4801000 (1 GB) 2022-04-12 23:46:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4802000 (1 GB) 2022-04-12 23:46:33 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4803000 (1 GB) 2022-04-12 23:46:33 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4804000 (1 GB) 2022-04-12 23:46:33 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4805000 (1 GB) 2022-04-12 23:46:34 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4806000 (1 GB) 2022-04-12 23:46:34 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4807000 (1 GB) 2022-04-12 23:46:34 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4808000 (1 GB) 2022-04-12 23:46:34 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4809000 (1 GB) 2022-04-12 23:46:35 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4810000 (1 GB) 2022-04-12 23:46:35 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4811000 (1 GB) 2022-04-12 23:46:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4812000 (1 GB) 2022-04-12 23:46:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4813000 (1 GB) 2022-04-12 23:46:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4814000 (1 GB) 2022-04-12 23:46:37 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4815000 (1 GB) 2022-04-12 23:46:37 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4816000 (1 GB) 2022-04-12 23:46:37 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4817000 (1 GB) 2022-04-12 23:46:37 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4818000 (1 GB) 2022-04-12 23:46:38 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4819000 (1 GB) 2022-04-12 23:46:38 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4820000 (1 GB) 2022-04-12 23:46:39 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4821000 (1 GB) 2022-04-12 23:46:39 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4822000 (1 GB) 2022-04-12 23:46:39 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4823000 (1 GB) 2022-04-12 23:46:39 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4824000 (1 GB) 2022-04-12 23:46:40 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4825000 (1 GB) 2022-04-12 23:46:40 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4826000 (1 GB) 2022-04-12 23:46:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4827000 (1 GB) 2022-04-12 23:46:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4828000 (1 GB) 2022-04-12 23:46:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4829000 (1 GB) 2022-04-12 23:46:42 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4830000 (1 GB) 2022-04-12 23:46:42 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4831000 (1 GB) 2022-04-12 23:46:42 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4832000 (1 GB) 2022-04-12 23:46:43 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4833000 (1 GB) 2022-04-12 23:46:43 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4834000 (1 GB) 2022-04-12 23:46:43 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4835000 (1 GB) 2022-04-12 23:46:44 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4836000 (1 GB) 2022-04-12 23:46:44 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4837000 (1 GB) 2022-04-12 23:46:45 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4838000 (1 GB) 2022-04-12 23:46:45 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4839000 (1 GB) 2022-04-12 23:46:45 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4840000 (1 GB) 2022-04-12 23:46:46 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4841000 (1 GB) 2022-04-12 23:46:46 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4842000 (1 GB) 2022-04-12 23:46:46 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4843000 (1 GB) 2022-04-12 23:46:47 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4844000 (1 GB) 2022-04-12 23:46:47 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4845000 (1 GB) 2022-04-12 23:46:47 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4846000 (1 GB) 2022-04-12 23:46:48 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4847000 (1 GB) 2022-04-12 23:46:48 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4848000 (1 GB) 2022-04-12 23:46:48 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4849000 (1 GB) 2022-04-12 23:46:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4850000 (1 GB) 2022-04-12 23:46:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4851000 (1 GB) 2022-04-12 23:46:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4852000 (1 GB) 2022-04-12 23:46:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4853000 (1 GB) 2022-04-12 23:46:50 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4854000 (1 GB) 2022-04-12 23:46:50 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4855000 (1 GB) 2022-04-12 23:46:50 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4856000 (1 GB) 2022-04-12 23:46:51 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4857000 (1 GB) 2022-04-12 23:46:51 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4858000 (1 GB) 2022-04-12 23:46:51 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4859000 (1 GB) 2022-04-12 23:46:52 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4860000 (1 GB) 2022-04-12 23:46:52 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4861000 (1 GB) 2022-04-12 23:46:52 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4862000 (1 GB) 2022-04-12 23:46:53 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4863000 (1 GB) 2022-04-12 23:46:53 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4864000 (1 GB) 2022-04-12 23:46:54 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4865000 (1 GB) 2022-04-12 23:46:54 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4866000 (1 GB) 2022-04-12 23:46:54 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4867000 (1 GB) 2022-04-12 23:46:54 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4868000 (1 GB) 2022-04-12 23:46:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4869000 (1 GB) 2022-04-12 23:46:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4870000 (1 GB) 2022-04-12 23:46:56 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4871000 (1 GB) 2022-04-12 23:46:56 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4872000 (1 GB) 2022-04-12 23:46:56 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4873000 (1 GB) 2022-04-12 23:46:57 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4874000 (1 GB) 2022-04-12 23:46:57 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4875000 (1 GB) 2022-04-12 23:46:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4876000 (1 GB) 2022-04-12 23:46:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4877000 (1 GB) 2022-04-12 23:46:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4878000 (1 GB) 2022-04-12 23:46:59 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4879000 (1 GB) 2022-04-12 23:46:59 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4880000 (1 GB) 2022-04-12 23:47:00 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4881000 (1 GB) 2022-04-12 23:47:00 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4882000 (1 GB) 2022-04-12 23:47:00 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4883000 (1 GB) 2022-04-12 23:47:01 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4884000 (1 GB) 2022-04-12 23:47:01 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4885000 (1 GB) 2022-04-12 23:47:01 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4886000 (1 GB) 2022-04-12 23:47:02 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4887000 (1 GB) 2022-04-12 23:47:02 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4888000 (1 GB) 2022-04-12 23:47:02 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4889000 (1 GB) 2022-04-12 23:47:03 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4890000 (1 GB) 2022-04-12 23:47:03 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4891000 (1 GB) 2022-04-12 23:47:03 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4892000 (1 GB) 2022-04-12 23:47:04 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4893000 (1 GB) 2022-04-12 23:47:04 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4894000 (1 GB) 2022-04-12 23:47:04 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4895000 (1 GB) 2022-04-12 23:47:05 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4896000 (1 GB) 2022-04-12 23:47:05 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4897000 (1 GB) 2022-04-12 23:47:05 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4898000 (1 GB) 2022-04-12 23:47:06 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4899000 (1 GB) 2022-04-12 23:47:06 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4900000 (1 GB) 2022-04-12 23:47:06 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4901000 (1 GB) 2022-04-12 23:47:07 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4902000 (1 GB) 2022-04-12 23:47:07 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4903000 (1 GB) 2022-04-12 23:47:07 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4904000 (1 GB) 2022-04-12 23:47:08 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4905000 (1 GB) 2022-04-12 23:47:08 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4906000 (1 GB) 2022-04-12 23:47:08 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4907000 (1 GB) 2022-04-12 23:47:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4908000 (1 GB) 2022-04-12 23:47:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4909000 (1 GB) 2022-04-12 23:47:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4910000 (1 GB) 2022-04-12 23:47:10 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4911000 (1 GB) 2022-04-12 23:47:10 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4912000 (1 GB) 2022-04-12 23:47:10 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4913000 (1 GB) 2022-04-12 23:47:11 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4914000 (1 GB) 2022-04-12 23:47:11 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4915000 (1 GB) 2022-04-12 23:47:11 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4916000 (1 GB) 2022-04-12 23:47:12 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4917000 (1 GB) 2022-04-12 23:47:12 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4918000 (1 GB) 2022-04-12 23:47:12 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4919000 (1 GB) 2022-04-12 23:47:13 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4920000 (1 GB) 2022-04-12 23:47:13 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4921000 (1 GB) 2022-04-12 23:47:13 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4922000 (1 GB) 2022-04-12 23:47:13 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4923000 (1 GB) 2022-04-12 23:47:14 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4924000 (1 GB) 2022-04-12 23:47:14 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4925000 (1 GB) 2022-04-12 23:47:15 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4926000 (1 GB) 2022-04-12 23:47:15 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4927000 (1 GB) 2022-04-12 23:47:15 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4928000 (1 GB) 2022-04-12 23:47:15 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4929000 (1 GB) 2022-04-12 23:47:16 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4930000 (1 GB) 2022-04-12 23:47:16 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4931000 (1 GB) 2022-04-12 23:47:16 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4932000 (1 GB) 2022-04-12 23:47:17 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4933000 (1 GB) 2022-04-12 23:47:17 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4934000 (1 GB) 2022-04-12 23:47:19 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4935000 (1 GB) 2022-04-12 23:47:27 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4936000 (1 GB) 2022-04-12 23:47:17 destination > 2022-04-12 23:47:17 INFO i.a.i.d.r.SerializedBufferingStrategy(flushWriter):82 - Flushing buffer of stream contacts_list_memberships (200 MB) 2022-04-12 23:47:17 destination > 2022-04-12 23:47:17 INFO i.a.i.d.b.BigQueryStagingConsumerFactory(lambda$flushBufferFunction$4):115 - Flushing buffer for stream contacts_list_memberships (200 MB) to staging 2022-04-12 23:47:17 destination > 2022-04-12 23:47:17 INFO i.a.i.d.r.BaseSerializedBuffer(flush):138 - Finished writing data to 25aed2ed-f1d6-42c4-8fc8-8a7f3d523a9a16496652399920757400.avro (200 MB) 2022-04-12 23:47:17 destination > 2022-04-12 23:47:17 INFO i.a.i.d.b.BigQueryGcsOperations(uploadRecordsToStage):108 - Uploading records to staging for stream contacts_list_memberships (dataset hubspot_): product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-12 23:47:17 destination > 2022-04-12 23:47:17 INFO i.a.i.d.s.u.StreamTransferManagerHelper(getDefault):55 - PartSize arg is set to 5 MB 2022-04-12 23:47:17 destination > 2022-04-12 23:47:17 INFO a.m.s.StreamTransferManager(getMultiPartOutputStreams):329 - Initiated multipart upload to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with full ID ABPnzm4WmsIA8RMsQ12Uh_HLqgnxR2cD9N1eQTdKpP26b4B9njovvxpEbLzLf7PPTJi9iL8k 2022-04-12 23:47:17 source > Read 4842688 records from contacts_list_memberships stream 2022-04-12 23:47:17 source > Finished syncing SourceHubspot 2022-04-12 23:47:17 source > SourceHubspot runtimes: 2022-04-12 23:47:17 source > Syncing stream: deal_pipelines 2022-04-12 23:47:18 destination > 2022-04-12 23:47:18 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm4Wm...PTJi9iL8k]: Finished uploading [Part number 1 containing 5.01 MB] 2022-04-12 23:47:18 destination > 2022-04-12 23:47:18 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm4Wm...PTJi9iL8k]: Finished uploading [Part number 2 containing 5.01 MB] 2022-04-12 23:47:18 destination > 2022-04-12 23:47:18 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm4Wm...PTJi9iL8k]: Finished uploading [Part number 3 containing 5.01 MB] 2022-04-12 23:47:18 destination > 2022-04-12 23:47:18 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm4Wm...PTJi9iL8k]: Finished uploading [Part number 4 containing 5.01 MB] 2022-04-12 23:47:18 source > Read 3 records from deal_pipelines stream 2022-04-12 23:47:18 source > Finished syncing SourceHubspot 2022-04-12 23:47:18 source > SourceHubspot runtimes: 2022-04-12 23:47:18 source > Syncing stream: deals 2022-04-12 23:47:18 destination > 2022-04-12 23:47:18 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm4Wm...PTJi9iL8k]: Finished uploading [Part number 8 containing 5.01 MB] 2022-04-12 23:47:18 destination > 2022-04-12 23:47:18 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm4Wm...PTJi9iL8k]: Finished uploading [Part number 9 containing 5.01 MB] 2022-04-12 23:47:18 destination > 2022-04-12 23:47:18 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm4Wm...PTJi9iL8k]: Finished uploading [Part number 6 containing 5.01 MB] 2022-04-12 23:47:18 destination > 2022-04-12 23:47:18 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm4Wm...PTJi9iL8k]: Finished uploading [Part number 12 containing 5.01 MB] 2022-04-12 23:47:18 destination > 2022-04-12 23:47:18 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm4Wm...PTJi9iL8k]: Finished uploading [Part number 13 containing 5.01 MB] 2022-04-12 23:47:18 destination > 2022-04-12 23:47:18 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm4Wm...PTJi9iL8k]: Finished uploading [Part number 11 containing 5.01 MB] 2022-04-12 23:47:18 destination > 2022-04-12 23:47:18 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm4Wm...PTJi9iL8k]: Finished uploading [Part number 10 containing 5.01 MB] 2022-04-12 23:47:18 destination > 2022-04-12 23:47:18 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm4Wm...PTJi9iL8k]: Finished uploading [Part number 14 containing 5.01 MB] 2022-04-12 23:47:18 destination > 2022-04-12 23:47:18 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm4Wm...PTJi9iL8k]: Finished uploading [Part number 15 containing 5.01 MB] 2022-04-12 23:47:18 destination > 2022-04-12 23:47:18 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm4Wm...PTJi9iL8k]: Finished uploading [Part number 16 containing 5.01 MB] 2022-04-12 23:47:18 destination > 2022-04-12 23:47:18 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm4Wm...PTJi9iL8k]: Finished uploading [Part number 7 containing 5.01 MB] 2022-04-12 23:47:18 destination > 2022-04-12 23:47:18 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm4Wm...PTJi9iL8k]: Finished uploading [Part number 17 containing 5.01 MB] 2022-04-12 23:47:18 destination > 2022-04-12 23:47:18 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm4Wm...PTJi9iL8k]: Finished uploading [Part number 18 containing 5.01 MB] 2022-04-12 23:47:18 destination > 2022-04-12 23:47:18 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm4Wm...PTJi9iL8k]: Finished uploading [Part number 21 containing 5.01 MB] 2022-04-12 23:47:18 destination > 2022-04-12 23:47:18 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm4Wm...PTJi9iL8k]: Finished uploading [Part number 22 containing 5.01 MB] 2022-04-12 23:47:18 destination > 2022-04-12 23:47:18 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm4Wm...PTJi9iL8k]: Finished uploading [Part number 19 containing 5.01 MB] 2022-04-12 23:47:18 destination > 2022-04-12 23:47:18 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm4Wm...PTJi9iL8k]: Finished uploading [Part number 20 containing 5.01 MB] 2022-04-12 23:47:18 destination > 2022-04-12 23:47:18 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm4Wm...PTJi9iL8k]: Finished uploading [Part number 23 containing 5.01 MB] 2022-04-12 23:47:18 destination > 2022-04-12 23:47:18 INFO a.m.s.MultiPartOutputStream(close):158 - Called close() on [MultipartOutputStream for parts 1 - 10000] 2022-04-12 23:47:18 destination > 2022-04-12 23:47:18 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm4Wm...PTJi9iL8k]: Finished uploading [Part number 25 containing 5.01 MB] 2022-04-12 23:47:18 destination > 2022-04-12 23:47:18 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm4Wm...PTJi9iL8k]: Finished uploading [Part number 26 containing 5.01 MB] 2022-04-12 23:47:18 destination > 2022-04-12 23:47:18 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm4Wm...PTJi9iL8k]: Finished uploading [Part number 24 containing 5.01 MB] 2022-04-12 23:47:18 destination > 2022-04-12 23:47:18 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm4Wm...PTJi9iL8k]: Finished uploading [Part number 27 containing 5.01 MB] 2022-04-12 23:47:18 destination > 2022-04-12 23:47:18 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm4Wm...PTJi9iL8k]: Finished uploading [Part number 29 containing 5.01 MB] 2022-04-12 23:47:18 destination > 2022-04-12 23:47:18 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm4Wm...PTJi9iL8k]: Finished uploading [Part number 32 containing 5.01 MB] 2022-04-12 23:47:18 destination > 2022-04-12 23:47:18 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm4Wm...PTJi9iL8k]: Finished uploading [Part number 30 containing 5.01 MB] 2022-04-12 23:47:18 destination > 2022-04-12 23:47:18 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm4Wm...PTJi9iL8k]: Finished uploading [Part number 28 containing 5.01 MB] 2022-04-12 23:47:18 destination > 2022-04-12 23:47:18 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm4Wm...PTJi9iL8k]: Finished uploading [Part number 5 containing 5.01 MB] 2022-04-12 23:47:18 destination > 2022-04-12 23:47:18 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm4Wm...PTJi9iL8k]: Finished uploading [Part number 31 containing 5.01 MB] 2022-04-12 23:47:18 destination > 2022-04-12 23:47:18 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm4Wm...PTJi9iL8k]: Finished uploading [Part number 33 containing 5.01 MB] 2022-04-12 23:47:18 destination > 2022-04-12 23:47:18 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm4Wm...PTJi9iL8k]: Finished uploading [Part number 34 containing 5.01 MB] 2022-04-12 23:47:18 destination > 2022-04-12 23:47:18 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm4Wm...PTJi9iL8k]: Finished uploading [Part number 35 containing 5.01 MB] 2022-04-12 23:47:18 destination > 2022-04-12 23:47:18 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm4Wm...PTJi9iL8k]: Finished uploading [Part number 36 containing 5.01 MB] 2022-04-12 23:47:18 destination > 2022-04-12 23:47:18 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm4Wm...PTJi9iL8k]: Finished uploading [Part number 37 containing 5.01 MB] 2022-04-12 23:47:18 destination > 2022-04-12 23:47:18 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm4Wm...PTJi9iL8k]: Finished uploading [Part number 39 containing 9.76 MB] 2022-04-12 23:47:18 destination > 2022-04-12 23:47:18 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm4Wm...PTJi9iL8k]: Finished uploading [Part number 38 containing 5.01 MB] 2022-04-12 23:47:18 destination > 2022-04-12 23:47:18 INFO a.m.s.StreamTransferManager(complete):395 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm4Wm...PTJi9iL8k]: Completed 2022-04-12 23:47:18 destination > 2022-04-12 23:47:18 INFO i.a.i.d.s.S3StorageOperations(loadDataIntoBucket):161 - Uploaded buffer file to storage: 25aed2ed-f1d6-42c4-8fc8-8a7f3d523a9a16496652399920757400.avro -> product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro (filename: 4.avro) 2022-04-12 23:47:18 destination > 2022-04-12 23:47:18 INFO i.a.i.d.b.BigQueryWriteConfig(addStagedFile):53 - Added staged file: 4.avro 2022-04-12 23:47:18 destination > 2022-04-12 23:47:18 INFO i.a.i.d.r.FileBuffer(deleteFile):81 - Deleting tempFile data 25aed2ed-f1d6-42c4-8fc8-8a7f3d523a9a16496652399920757400.avro 2022-04-12 23:47:18 destination > 2022-04-12 23:47:18 INFO i.a.i.d.r.SerializedBufferingStrategy(lambda$addRecord$0):55 - Starting a new buffer for stream contacts_list_memberships (current state: 119 MB in 4 buffers) 2022-04-12 23:47:18 destination > 2022-04-12 23:47:18 INFO i.a.i.d.g.u.GcsUtils(getDefaultAvroSchema):25 - Default schema. 2022-04-12 23:47:19 destination > 2022-04-12 23:47:19 INFO i.a.i.d.r.SerializedBufferingStrategy(lambda$addRecord$0):55 - Starting a new buffer for stream deal_pipelines (current state: 119 MB in 5 buffers) 2022-04-12 23:47:19 destination > 2022-04-12 23:47:19 INFO i.a.i.d.g.u.GcsUtils(getDefaultAvroSchema):25 - Default schema. 2022-04-12 23:47:19 destination > 2022-04-12 23:47:19 INFO i.a.i.d.r.SerializedBufferingStrategy(lambda$addRecord$0):55 - Starting a new buffer for stream deals (current state: 119 MB in 6 buffers) 2022-04-12 23:47:19 destination > 2022-04-12 23:47:19 INFO i.a.i.d.g.u.GcsUtils(getDefaultAvroSchema):25 - Default schema. 2022-04-12 23:47:34 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4937000 (1 GB) 2022-04-12 23:47:43 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4938000 (1 GB) 2022-04-12 23:47:51 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4939000 (1 GB) 2022-04-12 23:47:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4940000 (1 GB) 2022-04-12 23:48:06 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4941000 (1 GB) 2022-04-12 23:48:14 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4942000 (1 GB) 2022-04-12 23:48:21 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4943000 (1 GB) 2022-04-12 23:48:29 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4944000 (1 GB) 2022-04-12 23:48:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4945000 (1 GB) 2022-04-12 23:48:44 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4946000 (1 GB) 2022-04-12 23:48:51 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4947000 (1 GB) 2022-04-12 23:48:59 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4948000 (1 GB) 2022-04-12 23:49:07 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4949000 (1 GB) 2022-04-12 23:49:14 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4950000 (1 GB) 2022-04-12 23:49:21 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4951000 (1 GB) 2022-04-12 23:49:29 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4952000 (1 GB) 2022-04-12 23:49:37 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4953000 (1 GB) 2022-04-12 23:49:44 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4954000 (1 GB) 2022-04-12 23:49:51 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4955000 (1 GB) 2022-04-12 23:49:59 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4956000 (1 GB) 2022-04-12 23:50:07 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4957000 (1 GB) 2022-04-12 23:50:15 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4958000 (1 GB) 2022-04-12 23:50:22 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4959000 (1 GB) 2022-04-12 23:50:30 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4960000 (1 GB) 2022-04-12 23:49:51 destination > 2022-04-12 23:49:51 INFO i.a.i.d.r.SerializedBufferingStrategy(flushWriter):82 - Flushing buffer of stream deals (200 MB) 2022-04-12 23:49:51 destination > 2022-04-12 23:49:51 INFO i.a.i.d.b.BigQueryStagingConsumerFactory(lambda$flushBufferFunction$4):115 - Flushing buffer for stream deals (200 MB) to staging 2022-04-12 23:49:51 destination > 2022-04-12 23:49:51 INFO i.a.i.d.r.BaseSerializedBuffer(flush):138 - Finished writing data to abc2f4cc-7c50-4926-bd61-5aa01bd90f365075760259808123507.avro (200 MB) 2022-04-12 23:49:51 destination > 2022-04-12 23:49:51 INFO i.a.i.d.b.BigQueryGcsOperations(uploadRecordsToStage):108 - Uploading records to staging for stream deals (dataset hubspot_): product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-12 23:49:51 destination > 2022-04-12 23:49:51 INFO i.a.i.d.s.u.StreamTransferManagerHelper(getDefault):55 - PartSize arg is set to 5 MB 2022-04-12 23:49:51 destination > 2022-04-12 23:49:51 INFO a.m.s.StreamTransferManager(getMultiPartOutputStreams):329 - Initiated multipart upload to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with full ID ABPnzm4OGH3v2zeQRNnKIu6MwvMLYT7UstUFdMTKhmsOqqHcvTphvMvsjevTtp8vxfm3sp9H 2022-04-12 23:49:51 destination > 2022-04-12 23:49:51 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm4OG...vxfm3sp9H]: Finished uploading [Part number 1 containing 5.01 MB] 2022-04-12 23:49:51 destination > 2022-04-12 23:49:51 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm4OG...vxfm3sp9H]: Finished uploading [Part number 2 containing 5.01 MB] 2022-04-12 23:49:51 destination > 2022-04-12 23:49:51 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm4OG...vxfm3sp9H]: Finished uploading [Part number 3 containing 5.01 MB] 2022-04-12 23:49:51 destination > 2022-04-12 23:49:51 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm4OG...vxfm3sp9H]: Finished uploading [Part number 6 containing 5.01 MB] 2022-04-12 23:49:51 destination > 2022-04-12 23:49:51 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm4OG...vxfm3sp9H]: Finished uploading [Part number 7 containing 5.01 MB] 2022-04-12 23:49:51 destination > 2022-04-12 23:49:51 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm4OG...vxfm3sp9H]: Finished uploading [Part number 5 containing 5.01 MB] 2022-04-12 23:49:51 destination > 2022-04-12 23:49:51 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm4OG...vxfm3sp9H]: Finished uploading [Part number 8 containing 5.01 MB] 2022-04-12 23:49:51 destination > 2022-04-12 23:49:51 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm4OG...vxfm3sp9H]: Finished uploading [Part number 4 containing 5.01 MB] 2022-04-12 23:49:51 destination > 2022-04-12 23:49:51 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm4OG...vxfm3sp9H]: Finished uploading [Part number 11 containing 5.01 MB] 2022-04-12 23:49:51 destination > 2022-04-12 23:49:51 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm4OG...vxfm3sp9H]: Finished uploading [Part number 12 containing 5.01 MB] 2022-04-12 23:49:51 destination > 2022-04-12 23:49:51 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm4OG...vxfm3sp9H]: Finished uploading [Part number 10 containing 5.01 MB] 2022-04-12 23:49:51 destination > 2022-04-12 23:49:51 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm4OG...vxfm3sp9H]: Finished uploading [Part number 9 containing 5.01 MB] 2022-04-12 23:49:51 destination > 2022-04-12 23:49:51 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm4OG...vxfm3sp9H]: Finished uploading [Part number 14 containing 5.01 MB] 2022-04-12 23:49:52 destination > 2022-04-12 23:49:52 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm4OG...vxfm3sp9H]: Finished uploading [Part number 16 containing 5.01 MB] 2022-04-12 23:49:52 destination > 2022-04-12 23:49:52 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm4OG...vxfm3sp9H]: Finished uploading [Part number 17 containing 5.01 MB] 2022-04-12 23:49:52 destination > 2022-04-12 23:49:52 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm4OG...vxfm3sp9H]: Finished uploading [Part number 15 containing 5.01 MB] 2022-04-12 23:49:52 destination > 2022-04-12 23:49:52 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm4OG...vxfm3sp9H]: Finished uploading [Part number 13 containing 5.01 MB] 2022-04-12 23:49:52 destination > 2022-04-12 23:49:52 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm4OG...vxfm3sp9H]: Finished uploading [Part number 22 containing 5.01 MB] 2022-04-12 23:49:52 destination > 2022-04-12 23:49:52 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm4OG...vxfm3sp9H]: Finished uploading [Part number 20 containing 5.01 MB] 2022-04-12 23:49:52 destination > 2022-04-12 23:49:52 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm4OG...vxfm3sp9H]: Finished uploading [Part number 18 containing 5.01 MB] 2022-04-12 23:49:52 destination > 2022-04-12 23:49:52 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm4OG...vxfm3sp9H]: Finished uploading [Part number 19 containing 5.01 MB] 2022-04-12 23:49:52 destination > 2022-04-12 23:49:52 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm4OG...vxfm3sp9H]: Finished uploading [Part number 23 containing 5.01 MB] 2022-04-12 23:49:52 destination > 2022-04-12 23:49:52 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm4OG...vxfm3sp9H]: Finished uploading [Part number 25 containing 5.01 MB] 2022-04-12 23:49:52 destination > 2022-04-12 23:49:52 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm4OG...vxfm3sp9H]: Finished uploading [Part number 21 containing 5.01 MB] 2022-04-12 23:49:52 destination > 2022-04-12 23:49:52 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm4OG...vxfm3sp9H]: Finished uploading [Part number 24 containing 5.01 MB] 2022-04-12 23:49:52 destination > 2022-04-12 23:49:52 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm4OG...vxfm3sp9H]: Finished uploading [Part number 27 containing 5.01 MB] 2022-04-12 23:49:52 destination > 2022-04-12 23:49:52 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm4OG...vxfm3sp9H]: Finished uploading [Part number 30 containing 5.01 MB] 2022-04-12 23:49:52 destination > 2022-04-12 23:49:52 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm4OG...vxfm3sp9H]: Finished uploading [Part number 29 containing 5.01 MB] 2022-04-12 23:49:52 destination > 2022-04-12 23:49:52 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm4OG...vxfm3sp9H]: Finished uploading [Part number 28 containing 5.01 MB] 2022-04-12 23:49:52 destination > 2022-04-12 23:49:52 INFO a.m.s.MultiPartOutputStream(close):158 - Called close() on [MultipartOutputStream for parts 1 - 10000] 2022-04-12 23:49:52 destination > 2022-04-12 23:49:52 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm4OG...vxfm3sp9H]: Finished uploading [Part number 26 containing 5.01 MB] 2022-04-12 23:49:52 destination > 2022-04-12 23:49:52 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm4OG...vxfm3sp9H]: Finished uploading [Part number 31 containing 5.01 MB] 2022-04-12 23:49:52 destination > 2022-04-12 23:49:52 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm4OG...vxfm3sp9H]: Finished uploading [Part number 32 containing 5.01 MB] 2022-04-12 23:49:52 destination > 2022-04-12 23:49:52 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm4OG...vxfm3sp9H]: Finished uploading [Part number 36 containing 5.01 MB] 2022-04-12 23:49:52 destination > 2022-04-12 23:49:52 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm4OG...vxfm3sp9H]: Finished uploading [Part number 35 containing 5.01 MB] 2022-04-12 23:49:52 destination > 2022-04-12 23:49:52 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm4OG...vxfm3sp9H]: Finished uploading [Part number 34 containing 5.01 MB] 2022-04-12 23:49:52 destination > 2022-04-12 23:49:52 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm4OG...vxfm3sp9H]: Finished uploading [Part number 33 containing 5.01 MB] 2022-04-12 23:49:52 destination > 2022-04-12 23:49:52 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm4OG...vxfm3sp9H]: Finished uploading [Part number 38 containing 5.01 MB] 2022-04-12 23:49:52 destination > 2022-04-12 23:49:52 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm4OG...vxfm3sp9H]: Finished uploading [Part number 37 containing 5.01 MB] 2022-04-12 23:49:52 destination > 2022-04-12 23:49:52 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm4OG...vxfm3sp9H]: Finished uploading [Part number 39 containing 9.70 MB] 2022-04-12 23:49:52 destination > 2022-04-12 23:49:52 INFO a.m.s.StreamTransferManager(complete):395 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm4OG...vxfm3sp9H]: Completed 2022-04-12 23:49:52 destination > 2022-04-12 23:49:52 INFO i.a.i.d.s.S3StorageOperations(loadDataIntoBucket):161 - Uploaded buffer file to storage: abc2f4cc-7c50-4926-bd61-5aa01bd90f365075760259808123507.avro -> product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro (filename: 1.avro) 2022-04-12 23:49:52 destination > 2022-04-12 23:49:52 INFO i.a.i.d.b.BigQueryWriteConfig(addStagedFile):53 - Added staged file: 1.avro 2022-04-12 23:49:52 destination > 2022-04-12 23:49:52 INFO i.a.i.d.r.FileBuffer(deleteFile):81 - Deleting tempFile data abc2f4cc-7c50-4926-bd61-5aa01bd90f365075760259808123507.avro 2022-04-12 23:49:52 destination > 2022-04-12 23:49:52 INFO i.a.i.d.r.SerializedBufferingStrategy(lambda$addRecord$0):55 - Starting a new buffer for stream deals (current state: 119 MB in 6 buffers) 2022-04-12 23:49:52 destination > 2022-04-12 23:49:52 INFO i.a.i.d.g.u.GcsUtils(getDefaultAvroSchema):25 - Default schema. 2022-04-12 23:50:37 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4961000 (1 GB) 2022-04-12 23:50:44 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4962000 (1 GB) 2022-04-12 23:50:52 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4963000 (1 GB) 2022-04-12 23:50:59 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4964000 (1 GB) 2022-04-12 23:51:07 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4965000 (1 GB) 2022-04-12 23:51:14 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4966000 (1 GB) 2022-04-12 23:51:22 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4967000 (1 GB) 2022-04-12 23:51:30 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4968000 (1 GB) 2022-04-12 23:51:38 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4969000 (1 GB) 2022-04-12 23:51:47 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4970000 (2 GB) 2022-04-12 23:51:54 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4971000 (2 GB) 2022-04-12 23:52:02 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4972000 (2 GB) 2022-04-12 23:52:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4973000 (2 GB) 2022-04-12 23:52:17 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4974000 (2 GB) 2022-04-12 23:52:24 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4975000 (2 GB) 2022-04-12 23:52:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4976000 (2 GB) 2022-04-12 23:52:23 destination > 2022-04-12 23:52:23 INFO i.a.i.d.r.SerializedBufferingStrategy(flushWriter):82 - Flushing buffer of stream deals (200 MB) 2022-04-12 23:52:23 destination > 2022-04-12 23:52:23 INFO i.a.i.d.b.BigQueryStagingConsumerFactory(lambda$flushBufferFunction$4):115 - Flushing buffer for stream deals (200 MB) to staging 2022-04-12 23:52:23 destination > 2022-04-12 23:52:23 INFO i.a.i.d.r.BaseSerializedBuffer(flush):138 - Finished writing data to 98900306-fbfd-404c-afe3-d812c19ab9d16567814229256315750.avro (200 MB) 2022-04-12 23:52:23 destination > 2022-04-12 23:52:23 INFO i.a.i.d.b.BigQueryGcsOperations(uploadRecordsToStage):108 - Uploading records to staging for stream deals (dataset hubspot_): product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-12 23:52:23 destination > 2022-04-12 23:52:23 INFO i.a.i.d.s.u.StreamTransferManagerHelper(getDefault):55 - PartSize arg is set to 5 MB 2022-04-12 23:52:23 destination > 2022-04-12 23:52:23 INFO a.m.s.StreamTransferManager(getMultiPartOutputStreams):329 - Initiated multipart upload to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with full ID ABPnzm4gkVfFl0qrQlKvAEXr3KMxMtGvdKSEnYIJjLEoXE8BlaobS6aY0AEu3kseHHiKSyfb 2022-04-12 23:52:23 destination > 2022-04-12 23:52:23 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm4gk...eHHiKSyfb]: Finished uploading [Part number 1 containing 5.01 MB] 2022-04-12 23:52:23 destination > 2022-04-12 23:52:23 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm4gk...eHHiKSyfb]: Finished uploading [Part number 2 containing 5.01 MB] 2022-04-12 23:52:23 destination > 2022-04-12 23:52:23 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm4gk...eHHiKSyfb]: Finished uploading [Part number 5 containing 5.01 MB] 2022-04-12 23:52:23 destination > 2022-04-12 23:52:23 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm4gk...eHHiKSyfb]: Finished uploading [Part number 3 containing 5.01 MB] 2022-04-12 23:52:23 destination > 2022-04-12 23:52:23 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm4gk...eHHiKSyfb]: Finished uploading [Part number 8 containing 5.01 MB] 2022-04-12 23:52:23 destination > 2022-04-12 23:52:23 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm4gk...eHHiKSyfb]: Finished uploading [Part number 4 containing 5.01 MB] 2022-04-12 23:52:23 destination > 2022-04-12 23:52:23 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm4gk...eHHiKSyfb]: Finished uploading [Part number 9 containing 5.01 MB] 2022-04-12 23:52:23 destination > 2022-04-12 23:52:23 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm4gk...eHHiKSyfb]: Finished uploading [Part number 7 containing 5.01 MB] 2022-04-12 23:52:23 destination > 2022-04-12 23:52:23 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm4gk...eHHiKSyfb]: Finished uploading [Part number 6 containing 5.01 MB] 2022-04-12 23:52:23 destination > 2022-04-12 23:52:23 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm4gk...eHHiKSyfb]: Finished uploading [Part number 10 containing 5.01 MB] 2022-04-12 23:52:23 destination > 2022-04-12 23:52:23 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm4gk...eHHiKSyfb]: Finished uploading [Part number 13 containing 5.01 MB] 2022-04-12 23:52:23 destination > 2022-04-12 23:52:23 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm4gk...eHHiKSyfb]: Finished uploading [Part number 12 containing 5.01 MB] 2022-04-12 23:52:23 destination > 2022-04-12 23:52:23 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm4gk...eHHiKSyfb]: Finished uploading [Part number 11 containing 5.01 MB] 2022-04-12 23:52:23 destination > 2022-04-12 23:52:23 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm4gk...eHHiKSyfb]: Finished uploading [Part number 15 containing 5.01 MB] 2022-04-12 23:52:23 destination > 2022-04-12 23:52:23 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm4gk...eHHiKSyfb]: Finished uploading [Part number 16 containing 5.01 MB] 2022-04-12 23:52:23 destination > 2022-04-12 23:52:23 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm4gk...eHHiKSyfb]: Finished uploading [Part number 14 containing 5.01 MB] 2022-04-12 23:52:24 destination > 2022-04-12 23:52:24 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm4gk...eHHiKSyfb]: Finished uploading [Part number 18 containing 5.01 MB] 2022-04-12 23:52:24 destination > 2022-04-12 23:52:24 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm4gk...eHHiKSyfb]: Finished uploading [Part number 22 containing 5.01 MB] 2022-04-12 23:52:24 destination > 2022-04-12 23:52:24 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm4gk...eHHiKSyfb]: Finished uploading [Part number 20 containing 5.01 MB] 2022-04-12 23:52:24 destination > 2022-04-12 23:52:24 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm4gk...eHHiKSyfb]: Finished uploading [Part number 24 containing 5.01 MB] 2022-04-12 23:52:24 destination > 2022-04-12 23:52:24 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm4gk...eHHiKSyfb]: Finished uploading [Part number 17 containing 5.01 MB] 2022-04-12 23:52:24 destination > 2022-04-12 23:52:24 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm4gk...eHHiKSyfb]: Finished uploading [Part number 26 containing 5.01 MB] 2022-04-12 23:52:24 destination > 2022-04-12 23:52:24 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm4gk...eHHiKSyfb]: Finished uploading [Part number 19 containing 5.01 MB] 2022-04-12 23:52:24 destination > 2022-04-12 23:52:24 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm4gk...eHHiKSyfb]: Finished uploading [Part number 23 containing 5.01 MB] 2022-04-12 23:52:24 destination > 2022-04-12 23:52:24 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm4gk...eHHiKSyfb]: Finished uploading [Part number 21 containing 5.01 MB] 2022-04-12 23:52:24 destination > 2022-04-12 23:52:24 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm4gk...eHHiKSyfb]: Finished uploading [Part number 25 containing 5.01 MB] 2022-04-12 23:52:24 destination > 2022-04-12 23:52:24 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm4gk...eHHiKSyfb]: Finished uploading [Part number 28 containing 5.01 MB] 2022-04-12 23:52:24 destination > 2022-04-12 23:52:24 INFO a.m.s.MultiPartOutputStream(close):158 - Called close() on [MultipartOutputStream for parts 1 - 10000] 2022-04-12 23:52:24 destination > 2022-04-12 23:52:24 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm4gk...eHHiKSyfb]: Finished uploading [Part number 27 containing 5.01 MB] 2022-04-12 23:52:24 destination > 2022-04-12 23:52:24 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm4gk...eHHiKSyfb]: Finished uploading [Part number 29 containing 5.01 MB] 2022-04-12 23:52:24 destination > 2022-04-12 23:52:24 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm4gk...eHHiKSyfb]: Finished uploading [Part number 30 containing 5.01 MB] 2022-04-12 23:52:24 destination > 2022-04-12 23:52:24 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm4gk...eHHiKSyfb]: Finished uploading [Part number 32 containing 5.01 MB] 2022-04-12 23:52:24 destination > 2022-04-12 23:52:24 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm4gk...eHHiKSyfb]: Finished uploading [Part number 31 containing 5.01 MB] 2022-04-12 23:52:24 destination > 2022-04-12 23:52:24 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm4gk...eHHiKSyfb]: Finished uploading [Part number 33 containing 5.01 MB] 2022-04-12 23:52:24 destination > 2022-04-12 23:52:24 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm4gk...eHHiKSyfb]: Finished uploading [Part number 36 containing 5.01 MB] 2022-04-12 23:52:24 destination > 2022-04-12 23:52:24 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm4gk...eHHiKSyfb]: Finished uploading [Part number 37 containing 5.01 MB] 2022-04-12 23:52:24 destination > 2022-04-12 23:52:24 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm4gk...eHHiKSyfb]: Finished uploading [Part number 34 containing 5.01 MB] 2022-04-12 23:52:24 destination > 2022-04-12 23:52:24 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm4gk...eHHiKSyfb]: Finished uploading [Part number 35 containing 5.01 MB] 2022-04-12 23:52:24 destination > 2022-04-12 23:52:24 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm4gk...eHHiKSyfb]: Finished uploading [Part number 38 containing 5.01 MB] 2022-04-12 23:52:24 destination > 2022-04-12 23:52:24 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm4gk...eHHiKSyfb]: Finished uploading [Part number 39 containing 9.71 MB] 2022-04-12 23:52:24 destination > 2022-04-12 23:52:24 INFO a.m.s.StreamTransferManager(complete):395 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm4gk...eHHiKSyfb]: Completed 2022-04-12 23:52:24 destination > 2022-04-12 23:52:24 INFO i.a.i.d.s.S3StorageOperations(loadDataIntoBucket):161 - Uploaded buffer file to storage: 98900306-fbfd-404c-afe3-d812c19ab9d16567814229256315750.avro -> product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro (filename: 2.avro) 2022-04-12 23:52:24 destination > 2022-04-12 23:52:24 INFO i.a.i.d.b.BigQueryWriteConfig(addStagedFile):53 - Added staged file: 2.avro 2022-04-12 23:52:24 destination > 2022-04-12 23:52:24 INFO i.a.i.d.r.FileBuffer(deleteFile):81 - Deleting tempFile data 98900306-fbfd-404c-afe3-d812c19ab9d16567814229256315750.avro 2022-04-12 23:52:24 destination > 2022-04-12 23:52:24 INFO i.a.i.d.r.SerializedBufferingStrategy(lambda$addRecord$0):55 - Starting a new buffer for stream deals (current state: 119 MB in 6 buffers) 2022-04-12 23:52:24 destination > 2022-04-12 23:52:24 INFO i.a.i.d.g.u.GcsUtils(getDefaultAvroSchema):25 - Default schema. 2022-04-12 23:52:39 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4977000 (2 GB) 2022-04-12 23:52:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4978000 (2 GB) 2022-04-12 23:52:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4979000 (2 GB) 2022-04-12 23:53:06 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4980000 (2 GB) 2022-04-12 23:53:14 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4981000 (2 GB) 2022-04-12 23:53:22 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4982000 (2 GB) 2022-04-12 23:53:30 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4983000 (2 GB) 2022-04-12 23:53:38 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4984000 (2 GB) 2022-04-12 23:53:46 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4985000 (2 GB) 2022-04-12 23:53:53 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4986000 (2 GB) 2022-04-12 23:54:00 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4987000 (2 GB) 2022-04-12 23:54:08 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4988000 (2 GB) 2022-04-12 23:54:15 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4989000 (2 GB) 2022-04-12 23:54:24 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4990000 (2 GB) 2022-04-12 23:54:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4991000 (2 GB) 2022-04-12 23:54:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4992000 (2 GB) 2022-04-12 23:54:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4993000 (2 GB) 2022-04-12 23:54:56 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4994000 (2 GB) 2022-04-12 23:55:03 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4995000 (2 GB) 2022-04-12 23:55:11 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4996000 (2 GB) 2022-04-12 23:55:18 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4997000 (2 GB) 2022-04-12 23:55:26 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4998000 (2 GB) 2022-04-12 23:55:04 destination > 2022-04-12 23:55:04 INFO i.a.i.d.r.SerializedBufferingStrategy(flushWriter):82 - Flushing buffer of stream deals (200 MB) 2022-04-12 23:55:04 destination > 2022-04-12 23:55:04 INFO i.a.i.d.b.BigQueryStagingConsumerFactory(lambda$flushBufferFunction$4):115 - Flushing buffer for stream deals (200 MB) to staging 2022-04-12 23:55:04 destination > 2022-04-12 23:55:04 INFO i.a.i.d.r.BaseSerializedBuffer(flush):138 - Finished writing data to f09de19c-688f-46a0-953d-67ecc640fb215824933068247673018.avro (200 MB) 2022-04-12 23:55:04 destination > 2022-04-12 23:55:04 INFO i.a.i.d.b.BigQueryGcsOperations(uploadRecordsToStage):108 - Uploading records to staging for stream deals (dataset hubspot_): product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-12 23:55:04 destination > 2022-04-12 23:55:04 INFO i.a.i.d.s.u.StreamTransferManagerHelper(getDefault):55 - PartSize arg is set to 5 MB 2022-04-12 23:55:04 destination > 2022-04-12 23:55:04 INFO a.m.s.StreamTransferManager(getMultiPartOutputStreams):329 - Initiated multipart upload to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with full ID ABPnzm46xmXevjbPp4R2Ihm6FMuFPSIUvGTUnXwIvrKxybK8_n93-Gjub9DdRBkzV1VA21OT 2022-04-12 23:55:05 destination > 2022-04-12 23:55:05 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm46x...zV1VA21OT]: Finished uploading [Part number 1 containing 5.01 MB] 2022-04-12 23:55:05 destination > 2022-04-12 23:55:05 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm46x...zV1VA21OT]: Finished uploading [Part number 2 containing 5.01 MB] 2022-04-12 23:55:05 destination > 2022-04-12 23:55:05 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm46x...zV1VA21OT]: Finished uploading [Part number 4 containing 5.01 MB] 2022-04-12 23:55:05 destination > 2022-04-12 23:55:05 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm46x...zV1VA21OT]: Finished uploading [Part number 3 containing 5.01 MB] 2022-04-12 23:55:05 destination > 2022-04-12 23:55:05 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm46x...zV1VA21OT]: Finished uploading [Part number 5 containing 5.01 MB] 2022-04-12 23:55:05 destination > 2022-04-12 23:55:05 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm46x...zV1VA21OT]: Finished uploading [Part number 6 containing 5.01 MB] 2022-04-12 23:55:05 destination > 2022-04-12 23:55:05 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm46x...zV1VA21OT]: Finished uploading [Part number 12 containing 5.01 MB] 2022-04-12 23:55:05 destination > 2022-04-12 23:55:05 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm46x...zV1VA21OT]: Finished uploading [Part number 11 containing 5.01 MB] 2022-04-12 23:55:05 destination > 2022-04-12 23:55:05 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm46x...zV1VA21OT]: Finished uploading [Part number 13 containing 5.01 MB] 2022-04-12 23:55:05 destination > 2022-04-12 23:55:05 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm46x...zV1VA21OT]: Finished uploading [Part number 8 containing 5.01 MB] 2022-04-12 23:55:05 destination > 2022-04-12 23:55:05 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm46x...zV1VA21OT]: Finished uploading [Part number 10 containing 5.01 MB] 2022-04-12 23:55:05 destination > 2022-04-12 23:55:05 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm46x...zV1VA21OT]: Finished uploading [Part number 7 containing 5.01 MB] 2022-04-12 23:55:05 destination > 2022-04-12 23:55:05 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm46x...zV1VA21OT]: Finished uploading [Part number 9 containing 5.01 MB] 2022-04-12 23:55:05 destination > 2022-04-12 23:55:05 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm46x...zV1VA21OT]: Finished uploading [Part number 14 containing 5.01 MB] 2022-04-12 23:55:05 destination > 2022-04-12 23:55:05 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm46x...zV1VA21OT]: Finished uploading [Part number 15 containing 5.01 MB] 2022-04-12 23:55:05 destination > 2022-04-12 23:55:05 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm46x...zV1VA21OT]: Finished uploading [Part number 18 containing 5.01 MB] 2022-04-12 23:55:05 destination > 2022-04-12 23:55:05 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm46x...zV1VA21OT]: Finished uploading [Part number 17 containing 5.01 MB] 2022-04-12 23:55:05 destination > 2022-04-12 23:55:05 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm46x...zV1VA21OT]: Finished uploading [Part number 20 containing 5.01 MB] 2022-04-12 23:55:05 destination > 2022-04-12 23:55:05 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm46x...zV1VA21OT]: Finished uploading [Part number 19 containing 5.01 MB] 2022-04-12 23:55:05 destination > 2022-04-12 23:55:05 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm46x...zV1VA21OT]: Finished uploading [Part number 22 containing 5.01 MB] 2022-04-12 23:55:05 destination > 2022-04-12 23:55:05 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm46x...zV1VA21OT]: Finished uploading [Part number 23 containing 5.01 MB] 2022-04-12 23:55:05 destination > 2022-04-12 23:55:05 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm46x...zV1VA21OT]: Finished uploading [Part number 16 containing 5.01 MB] 2022-04-12 23:55:05 destination > 2022-04-12 23:55:05 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm46x...zV1VA21OT]: Finished uploading [Part number 24 containing 5.01 MB] 2022-04-12 23:55:05 destination > 2022-04-12 23:55:05 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm46x...zV1VA21OT]: Finished uploading [Part number 21 containing 5.01 MB] 2022-04-12 23:55:05 destination > 2022-04-12 23:55:05 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm46x...zV1VA21OT]: Finished uploading [Part number 25 containing 5.01 MB] 2022-04-12 23:55:05 destination > 2022-04-12 23:55:05 INFO a.m.s.MultiPartOutputStream(close):158 - Called close() on [MultipartOutputStream for parts 1 - 10000] 2022-04-12 23:55:05 destination > 2022-04-12 23:55:05 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm46x...zV1VA21OT]: Finished uploading [Part number 30 containing 5.01 MB] 2022-04-12 23:55:05 destination > 2022-04-12 23:55:05 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm46x...zV1VA21OT]: Finished uploading [Part number 31 containing 5.01 MB] 2022-04-12 23:55:05 destination > 2022-04-12 23:55:05 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm46x...zV1VA21OT]: Finished uploading [Part number 28 containing 5.01 MB] 2022-04-12 23:55:05 destination > 2022-04-12 23:55:05 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm46x...zV1VA21OT]: Finished uploading [Part number 29 containing 5.01 MB] 2022-04-12 23:55:05 destination > 2022-04-12 23:55:05 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm46x...zV1VA21OT]: Finished uploading [Part number 26 containing 5.01 MB] 2022-04-12 23:55:05 destination > 2022-04-12 23:55:05 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm46x...zV1VA21OT]: Finished uploading [Part number 32 containing 5.01 MB] 2022-04-12 23:55:05 destination > 2022-04-12 23:55:05 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm46x...zV1VA21OT]: Finished uploading [Part number 33 containing 5.01 MB] 2022-04-12 23:55:05 destination > 2022-04-12 23:55:05 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm46x...zV1VA21OT]: Finished uploading [Part number 34 containing 5.01 MB] 2022-04-12 23:55:05 destination > 2022-04-12 23:55:05 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm46x...zV1VA21OT]: Finished uploading [Part number 35 containing 5.01 MB] 2022-04-12 23:55:05 destination > 2022-04-12 23:55:05 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm46x...zV1VA21OT]: Finished uploading [Part number 38 containing 5.01 MB] 2022-04-12 23:55:05 destination > 2022-04-12 23:55:05 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm46x...zV1VA21OT]: Finished uploading [Part number 36 containing 5.01 MB] 2022-04-12 23:55:05 destination > 2022-04-12 23:55:05 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm46x...zV1VA21OT]: Finished uploading [Part number 39 containing 9.71 MB] 2022-04-12 23:55:05 destination > 2022-04-12 23:55:05 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm46x...zV1VA21OT]: Finished uploading [Part number 37 containing 5.01 MB] 2022-04-12 23:55:05 destination > 2022-04-12 23:55:05 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm46x...zV1VA21OT]: Finished uploading [Part number 27 containing 5.01 MB] 2022-04-12 23:55:05 destination > 2022-04-12 23:55:05 INFO a.m.s.StreamTransferManager(complete):395 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm46x...zV1VA21OT]: Completed 2022-04-12 23:55:05 destination > 2022-04-12 23:55:05 INFO i.a.i.d.s.S3StorageOperations(loadDataIntoBucket):161 - Uploaded buffer file to storage: f09de19c-688f-46a0-953d-67ecc640fb215824933068247673018.avro -> product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro (filename: 3.avro) 2022-04-12 23:55:05 destination > 2022-04-12 23:55:05 INFO i.a.i.d.b.BigQueryWriteConfig(addStagedFile):53 - Added staged file: 3.avro 2022-04-12 23:55:05 destination > 2022-04-12 23:55:05 INFO i.a.i.d.r.FileBuffer(deleteFile):81 - Deleting tempFile data f09de19c-688f-46a0-953d-67ecc640fb215824933068247673018.avro 2022-04-12 23:55:06 destination > 2022-04-12 23:55:05 INFO i.a.i.d.r.SerializedBufferingStrategy(lambda$addRecord$0):55 - Starting a new buffer for stream deals (current state: 119 MB in 6 buffers) 2022-04-12 23:55:06 destination > 2022-04-12 23:55:06 INFO i.a.i.d.g.u.GcsUtils(getDefaultAvroSchema):25 - Default schema. 2022-04-12 23:55:34 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 4999000 (2 GB) 2022-04-12 23:55:42 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5000000 (2 GB) 2022-04-12 23:55:51 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5001000 (2 GB) 2022-04-12 23:56:00 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5002000 (2 GB) 2022-04-12 23:56:07 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5003000 (2 GB) 2022-04-12 23:56:21 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5004000 (2 GB) 2022-04-12 23:56:21 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5005000 (2 GB) 2022-04-12 23:56:22 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5006000 (2 GB) 2022-04-12 23:56:23 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5007000 (2 GB) 2022-04-12 23:56:24 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5008000 (2 GB) 2022-04-12 23:56:24 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5009000 (2 GB) 2022-04-12 23:56:25 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5010000 (2 GB) 2022-04-12 23:56:26 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5011000 (2 GB) 2022-04-12 23:56:29 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5012000 (2 GB) 2022-04-12 23:56:31 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5013000 (2 GB) 2022-04-12 23:56:33 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5014000 (2 GB) 2022-04-12 23:56:12 source > Advancing bookmark for deals stream from None to 2022-04-12T23:55:26.441000+00:00 2022-04-12 23:56:12 source > Read 68433 records from deals stream 2022-04-12 23:56:12 source > Finished syncing SourceHubspot 2022-04-12 23:56:12 source > SourceHubspot runtimes: 2022-04-12 23:56:12 source > Syncing stream: email_events 2022-04-12 23:56:21 destination > 2022-04-12 23:56:21 INFO i.a.i.d.r.SerializedBufferingStrategy(lambda$addRecord$0):55 - Starting a new buffer for stream email_events (current state: 203 MB in 7 buffers) 2022-04-12 23:56:21 destination > 2022-04-12 23:56:21 INFO i.a.i.d.g.u.GcsUtils(getDefaultAvroSchema):25 - Default schema. 2022-04-12 23:56:21 source > Advancing bookmark for email_events stream from None to 2020-01-09T18:50:31.533000+00:00 2022-04-12 23:56:23 source > Advancing bookmark for email_events stream from 2020-01-09T18:50:31.533000+00:00 to 2020-02-08T21:54:10.593000+00:00 2022-04-12 23:56:24 source > Advancing bookmark for email_events stream from 2020-02-08T21:54:10.593000+00:00 to 2020-03-09T17:19:09.005000+00:00 2022-04-12 23:56:27 source > Advancing bookmark for email_events stream from 2020-03-09T17:19:09.005000+00:00 to 2020-04-08T23:14:39.719000+00:00 2022-04-12 23:56:29 source > Advancing bookmark for email_events stream from 2020-04-08T23:14:39.719000+00:00 to 2020-05-08T20:59:33.044000+00:00 2022-04-12 23:56:31 source > Advancing bookmark for email_events stream from 2020-05-08T20:59:33.044000+00:00 to 2020-06-06T10:00:10.075000+00:00 2022-04-12 23:56:33 source > Advancing bookmark for email_events stream from 2020-06-06T10:00:10.075000+00:00 to 2020-07-07T12:32:42.685000+00:00 2022-04-12 23:56:34 source > Advancing bookmark for email_events stream from 2020-07-07T12:32:42.685000+00:00 to 2020-08-06T20:13:30.788000+00:00 2022-04-12 23:56:37 source > Advancing bookmark for email_events stream from 2020-08-06T20:13:30.788000+00:00 to 2020-09-05T08:05:41.940000+00:00 2022-04-12 23:56:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5015000 (2 GB) 2022-04-12 23:56:39 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5016000 (2 GB) 2022-04-12 23:56:40 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5017000 (2 GB) 2022-04-12 23:56:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5018000 (2 GB) 2022-04-12 23:56:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5019000 (2 GB) 2022-04-12 23:56:42 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5020000 (2 GB) 2022-04-12 23:56:43 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5021000 (2 GB) 2022-04-12 23:56:43 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5022000 (2 GB) 2022-04-12 23:56:45 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5023000 (2 GB) 2022-04-12 23:56:45 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5024000 (2 GB) 2022-04-12 23:56:47 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5025000 (2 GB) 2022-04-12 23:56:48 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5026000 (2 GB) 2022-04-12 23:56:48 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5027000 (2 GB) 2022-04-12 23:56:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5028000 (2 GB) 2022-04-12 23:56:50 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5029000 (2 GB) 2022-04-12 23:56:51 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5030000 (2 GB) 2022-04-12 23:56:52 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5031000 (2 GB) 2022-04-12 23:56:53 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5032000 (2 GB) 2022-04-12 23:56:53 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5033000 (2 GB) 2022-04-12 23:56:54 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5034000 (2 GB) 2022-04-12 23:56:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5035000 (2 GB) 2022-04-12 23:56:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5036000 (2 GB) 2022-04-12 23:56:56 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5037000 (2 GB) 2022-04-12 23:56:57 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5038000 (2 GB) 2022-04-12 23:56:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5039000 (2 GB) 2022-04-12 23:56:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5040000 (2 GB) 2022-04-12 23:56:59 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5041000 (2 GB) 2022-04-12 23:57:00 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5042000 (2 GB) 2022-04-12 23:57:01 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5043000 (2 GB) 2022-04-12 23:57:02 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5044000 (2 GB) 2022-04-12 23:57:02 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5045000 (2 GB) 2022-04-12 23:57:03 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5046000 (2 GB) 2022-04-12 23:57:04 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5047000 (2 GB) 2022-04-12 23:57:05 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5048000 (2 GB) 2022-04-12 23:57:06 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5049000 (2 GB) 2022-04-12 23:57:06 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5050000 (2 GB) 2022-04-12 23:57:07 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5051000 (2 GB) 2022-04-12 23:57:08 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5052000 (2 GB) 2022-04-12 23:57:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5053000 (2 GB) 2022-04-12 23:57:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5054000 (2 GB) 2022-04-12 23:57:10 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5055000 (2 GB) 2022-04-12 23:57:11 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5056000 (2 GB) 2022-04-12 23:57:12 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5057000 (2 GB) 2022-04-12 23:57:13 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5058000 (2 GB) 2022-04-12 23:57:14 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5059000 (2 GB) 2022-04-12 23:57:14 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5060000 (2 GB) 2022-04-12 23:57:15 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5061000 (2 GB) 2022-04-12 23:57:16 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5062000 (2 GB) 2022-04-12 23:57:16 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5063000 (2 GB) 2022-04-12 23:57:17 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5064000 (2 GB) 2022-04-12 23:57:18 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5065000 (2 GB) 2022-04-12 23:57:18 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5066000 (2 GB) 2022-04-12 23:57:19 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5067000 (2 GB) 2022-04-12 23:57:20 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5068000 (2 GB) 2022-04-12 23:57:20 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5069000 (2 GB) 2022-04-12 23:57:21 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5070000 (2 GB) 2022-04-12 23:57:22 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5071000 (2 GB) 2022-04-12 23:57:22 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5072000 (2 GB) 2022-04-12 23:57:23 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5073000 (2 GB) 2022-04-12 23:57:24 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5074000 (2 GB) 2022-04-12 23:57:24 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5075000 (2 GB) 2022-04-12 23:57:25 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5076000 (2 GB) 2022-04-12 23:57:26 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5077000 (2 GB) 2022-04-12 23:57:26 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5078000 (2 GB) 2022-04-12 23:57:27 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5079000 (2 GB) 2022-04-12 23:57:28 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5080000 (2 GB) 2022-04-12 23:57:29 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5081000 (2 GB) 2022-04-12 23:57:30 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5082000 (2 GB) 2022-04-12 23:57:30 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5083000 (2 GB) 2022-04-12 23:57:31 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5084000 (2 GB) 2022-04-12 23:57:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5085000 (2 GB) 2022-04-12 23:57:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5086000 (2 GB) 2022-04-12 23:57:33 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5087000 (2 GB) 2022-04-12 23:57:34 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5088000 (2 GB) 2022-04-12 23:56:46 source > Advancing bookmark for email_events stream from 2020-09-05T08:05:41.940000+00:00 to 2020-10-05T21:05:54.116000+00:00 2022-04-12 23:56:49 source > Advancing bookmark for email_events stream from 2020-10-05T21:05:54.116000+00:00 to 2020-11-04T21:25:43.429000+00:00 2022-04-12 23:57:34 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5089000 (2 GB) 2022-04-12 23:57:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5090000 (2 GB) 2022-04-12 23:57:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5091000 (2 GB) 2022-04-12 23:57:37 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5092000 (2 GB) 2022-04-12 23:57:38 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5093000 (2 GB) 2022-04-12 23:57:38 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5094000 (2 GB) 2022-04-12 23:57:39 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5095000 (2 GB) 2022-04-12 23:57:39 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5096000 (2 GB) 2022-04-12 23:57:40 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5097000 (2 GB) 2022-04-12 23:57:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5098000 (2 GB) 2022-04-12 23:57:42 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5099000 (2 GB) 2022-04-12 23:57:42 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5100000 (2 GB) 2022-04-12 23:57:43 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5101000 (2 GB) 2022-04-12 23:57:44 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5102000 (2 GB) 2022-04-12 23:57:44 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5103000 (2 GB) 2022-04-12 23:57:45 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5104000 (2 GB) 2022-04-12 23:57:46 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5105000 (2 GB) 2022-04-12 23:57:46 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5106000 (2 GB) 2022-04-12 23:57:47 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5107000 (2 GB) 2022-04-12 23:57:47 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5108000 (2 GB) 2022-04-12 23:57:48 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5109000 (2 GB) 2022-04-12 23:57:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5110000 (2 GB) 2022-04-12 23:57:50 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5111000 (2 GB) 2022-04-12 23:57:50 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5112000 (2 GB) 2022-04-12 23:57:51 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5113000 (2 GB) 2022-04-12 23:57:51 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5114000 (2 GB) 2022-04-12 23:57:52 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5115000 (2 GB) 2022-04-12 23:57:53 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5116000 (2 GB) 2022-04-12 23:57:53 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5117000 (2 GB) 2022-04-12 23:57:54 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5118000 (2 GB) 2022-04-12 23:57:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5119000 (2 GB) 2022-04-12 23:57:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5120000 (2 GB) 2022-04-12 23:57:56 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5121000 (2 GB) 2022-04-12 23:57:57 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5122000 (2 GB) 2022-04-12 23:57:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5123000 (2 GB) 2022-04-12 23:57:59 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5124000 (2 GB) 2022-04-12 23:57:59 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5125000 (2 GB) 2022-04-12 23:58:00 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5126000 (2 GB) 2022-04-12 23:58:01 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5127000 (2 GB) 2022-04-12 23:58:02 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5128000 (2 GB) 2022-04-12 23:58:02 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5129000 (2 GB) 2022-04-12 23:58:04 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5130000 (2 GB) 2022-04-12 23:58:04 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5131000 (2 GB) 2022-04-12 23:58:05 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5132000 (2 GB) 2022-04-12 23:58:06 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5133000 (2 GB) 2022-04-12 23:58:06 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5134000 (2 GB) 2022-04-12 23:58:08 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5135000 (2 GB) 2022-04-12 23:58:08 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5136000 (2 GB) 2022-04-12 23:58:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5137000 (2 GB) 2022-04-12 23:58:10 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5138000 (2 GB) 2022-04-12 23:58:10 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5139000 (2 GB) 2022-04-12 23:58:11 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5140000 (2 GB) 2022-04-12 23:58:13 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5141000 (2 GB) 2022-04-12 23:58:13 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5142000 (2 GB) 2022-04-12 23:58:14 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5143000 (2 GB) 2022-04-12 23:58:14 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5144000 (2 GB) 2022-04-12 23:58:15 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5145000 (2 GB) 2022-04-12 23:58:16 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5146000 (2 GB) 2022-04-12 23:58:18 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5147000 (2 GB) 2022-04-12 23:58:18 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5148000 (2 GB) 2022-04-12 23:58:19 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5149000 (2 GB) 2022-04-12 23:58:21 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5150000 (2 GB) 2022-04-12 23:58:21 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5151000 (2 GB) 2022-04-12 23:58:23 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5152000 (2 GB) 2022-04-12 23:58:25 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5153000 (2 GB) 2022-04-12 23:58:26 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5154000 (2 GB) 2022-04-12 23:58:26 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5155000 (2 GB) 2022-04-12 23:58:27 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5156000 (2 GB) 2022-04-12 23:58:28 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5157000 (2 GB) 2022-04-12 23:58:29 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5158000 (2 GB) 2022-04-12 23:58:30 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5159000 (2 GB) 2022-04-12 23:58:30 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5160000 (2 GB) 2022-04-12 23:58:31 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5161000 (2 GB) 2022-04-12 23:58:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5162000 (2 GB) 2022-04-12 23:58:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5163000 (2 GB) 2022-04-12 23:58:33 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5164000 (2 GB) 2022-04-12 23:58:34 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5165000 (2 GB) 2022-04-12 23:58:11 source > Advancing bookmark for email_events stream from 2020-11-04T21:25:43.429000+00:00 to 2020-12-04T22:53:43.104000+00:00 2022-04-12 23:58:18 source > Advancing bookmark for email_events stream from 2020-12-04T22:53:43.104000+00:00 to 2021-01-03T23:12:18.926000+00:00 2022-04-12 23:58:22 source > Advancing bookmark for email_events stream from 2021-01-03T23:12:18.926000+00:00 to 2021-02-02T22:05:20.894000+00:00 2022-04-12 23:58:24 source > Advancing bookmark for email_events stream from 2021-02-02T22:05:20.894000+00:00 to 2021-03-04T23:30:47.659000+00:00 2022-04-12 23:58:26 source > Advancing bookmark for email_events stream from 2021-03-04T23:30:47.659000+00:00 to 2021-04-03T16:45:43.717000+00:00 2022-04-12 23:58:27 source > Advancing bookmark for email_events stream from 2021-04-03T16:45:43.717000+00:00 to 2021-05-03T23:55:41.416000+00:00 2022-04-12 23:58:28 source > Advancing bookmark for email_events stream from 2021-05-03T23:55:41.416000+00:00 to 2021-06-02T14:47:55.805000+00:00 2022-04-12 23:58:34 source > Advancing bookmark for email_events stream from 2021-06-02T14:47:55.805000+00:00 to 2021-07-02T23:42:07.873000+00:00 2022-04-12 23:58:35 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5166000 (2 GB) 2022-04-12 23:58:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5167000 (2 GB) 2022-04-12 23:58:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5168000 (2 GB) 2022-04-12 23:58:37 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5169000 (2 GB) 2022-04-12 23:58:37 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5170000 (2 GB) 2022-04-12 23:58:38 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5171000 (2 GB) 2022-04-12 23:58:39 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5172000 (2 GB) 2022-04-12 23:58:39 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5173000 (2 GB) 2022-04-12 23:58:40 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5174000 (2 GB) 2022-04-12 23:58:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5175000 (2 GB) 2022-04-12 23:58:42 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5176000 (2 GB) 2022-04-12 23:58:43 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5177000 (2 GB) 2022-04-12 23:58:43 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5178000 (2 GB) 2022-04-12 23:58:45 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5179000 (2 GB) 2022-04-12 23:58:45 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5180000 (2 GB) 2022-04-12 23:58:46 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5181000 (2 GB) 2022-04-12 23:58:47 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5182000 (2 GB) 2022-04-12 23:58:48 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5183000 (2 GB) 2022-04-12 23:58:48 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5184000 (2 GB) 2022-04-12 23:58:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5185000 (2 GB) 2022-04-12 23:58:50 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5186000 (2 GB) 2022-04-12 23:58:50 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5187000 (2 GB) 2022-04-12 23:58:51 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5188000 (2 GB) 2022-04-12 23:58:52 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5189000 (2 GB) 2022-04-12 23:58:53 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5190000 (2 GB) 2022-04-12 23:58:53 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5191000 (2 GB) 2022-04-12 23:58:54 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5192000 (2 GB) 2022-04-12 23:58:54 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5193000 (2 GB) 2022-04-12 23:58:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5194000 (2 GB) 2022-04-12 23:58:56 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5195000 (2 GB) 2022-04-12 23:58:57 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5196000 (2 GB) 2022-04-12 23:58:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5197000 (2 GB) 2022-04-12 23:58:59 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5198000 (2 GB) 2022-04-12 23:59:01 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5199000 (2 GB) 2022-04-12 23:59:02 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5200000 (2 GB) 2022-04-12 23:59:04 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5201000 (2 GB) 2022-04-12 23:59:05 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5202000 (2 GB) 2022-04-12 23:59:06 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5203000 (2 GB) 2022-04-12 23:59:07 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5204000 (2 GB) 2022-04-12 23:59:08 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5205000 (2 GB) 2022-04-12 23:59:10 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5206000 (2 GB) 2022-04-12 23:59:11 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5207000 (2 GB) 2022-04-12 23:59:12 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5208000 (2 GB) 2022-04-12 23:59:12 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5209000 (2 GB) 2022-04-12 23:59:13 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5210000 (2 GB) 2022-04-12 23:59:14 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5211000 (2 GB) 2022-04-12 23:59:15 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5212000 (2 GB) 2022-04-12 23:59:15 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5213000 (2 GB) 2022-04-12 23:59:17 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5214000 (2 GB) 2022-04-12 23:59:18 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5215000 (2 GB) 2022-04-12 23:59:19 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5216000 (2 GB) 2022-04-12 23:59:19 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5217000 (2 GB) 2022-04-12 23:59:20 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5218000 (2 GB) 2022-04-12 23:59:21 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5219000 (2 GB) 2022-04-12 23:59:22 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5220000 (2 GB) 2022-04-12 23:59:23 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5221000 (2 GB) 2022-04-12 23:59:31 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5222000 (2 GB) 2022-04-12 23:58:44 source > Advancing bookmark for email_events stream from 2021-07-02T23:42:07.873000+00:00 to 2021-08-01T16:08:05.623000+00:00 2022-04-12 23:58:45 source > Advancing bookmark for email_events stream from 2021-08-01T16:08:05.623000+00:00 to 2021-08-31T23:22:05.359000+00:00 2022-04-12 23:59:00 source > Advancing bookmark for email_events stream from 2021-08-31T23:22:05.359000+00:00 to 2021-09-30T23:37:39.305000+00:00 2022-04-12 23:59:07 source > Advancing bookmark for email_events stream from 2021-09-30T23:37:39.305000+00:00 to 2021-10-30T23:29:46.405000+00:00 2022-04-12 23:59:15 source > Advancing bookmark for email_events stream from 2021-10-30T23:29:46.405000+00:00 to 2021-11-29T23:27:53.968000+00:00 2022-04-12 23:59:23 source > Advancing bookmark for email_events stream from 2021-11-29T23:27:53.968000+00:00 to 2021-12-29T23:18:44.264000+00:00 2022-04-12 23:59:25 source > Advancing bookmark for email_events stream from 2021-12-29T23:18:44.264000+00:00 to 2022-01-28T19:26:20.695000+00:00 2022-04-12 23:59:28 source > Advancing bookmark for email_events stream from 2022-01-28T19:26:20.695000+00:00 to 2022-02-27T23:50:01.566000+00:00 2022-04-12 23:59:30 source > Advancing bookmark for email_events stream from 2022-02-27T23:50:01.566000+00:00 to 2022-03-29T16:58:56.146000+00:00 2022-04-12 23:59:31 source > Advancing bookmark for email_events stream from 2022-03-29T16:58:56.146000+00:00 to 2022-04-12T22:15:54.048000+00:00 2022-04-12 23:59:31 source > Read 217977 records from email_events stream 2022-04-12 23:59:31 source > Finished syncing SourceHubspot 2022-04-12 23:59:31 source > SourceHubspot runtimes: 2022-04-12 23:59:31 source > Syncing stream: engagements 2022-04-12 23:59:32 destination > 2022-04-12 23:59:32 INFO i.a.i.d.r.SerializedBufferingStrategy(lambda$addRecord$0):55 - Starting a new buffer for stream engagements (current state: 317 MB in 8 buffers) 2022-04-12 23:59:32 destination > 2022-04-12 23:59:32 INFO i.a.i.d.g.u.GcsUtils(getDefaultAvroSchema):25 - Default schema. 2022-04-12 23:59:40 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5223000 (2 GB) 2022-04-12 23:59:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5224000 (2 GB) 2022-04-12 23:59:56 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5225000 (2 GB) 2022-04-13 00:00:06 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5226000 (2 GB) 2022-04-13 00:00:16 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5227000 (2 GB) 2022-04-13 00:00:25 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5228000 (2 GB) 2022-04-13 00:00:33 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5229000 (2 GB) 2022-04-13 00:00:42 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5230000 (2 GB) 2022-04-13 00:00:51 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5231000 (2 GB) 2022-04-13 00:01:00 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5232000 (2 GB) 2022-04-13 00:01:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5233000 (2 GB) 2022-04-13 00:01:19 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5234000 (2 GB) 2022-04-13 00:01:28 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5235000 (2 GB) 2022-04-13 00:01:37 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5236000 (2 GB) 2022-04-13 00:01:46 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5237000 (2 GB) 2022-04-13 00:01:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5238000 (2 GB) 2022-04-13 00:02:05 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5239000 (2 GB) 2022-04-13 00:02:16 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5240000 (2 GB) 2022-04-13 00:02:26 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5241000 (2 GB) 2022-04-13 00:02:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5242000 (2 GB) 2022-04-13 00:02:45 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5243000 (2 GB) 2022-04-13 00:02:54 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5244000 (2 GB) 2022-04-13 00:03:05 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5245000 (2 GB) 2022-04-13 00:03:14 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5246000 (2 GB) 2022-04-13 00:03:23 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5247000 (2 GB) 2022-04-13 00:03:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5248000 (2 GB) 2022-04-13 00:03:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5249000 (2 GB) 2022-04-13 00:03:50 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5250000 (2 GB) 2022-04-13 00:03:59 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5251000 (2 GB) 2022-04-13 00:04:08 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5252000 (2 GB) 2022-04-13 00:04:17 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5253000 (2 GB) 2022-04-13 00:04:26 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5254000 (2 GB) 2022-04-13 00:03:49 destination > 2022-04-13 00:03:49 INFO i.a.i.d.r.SerializedBufferingStrategy(flushWriter):82 - Flushing buffer of stream engagements (200 MB) 2022-04-13 00:03:49 destination > 2022-04-13 00:03:49 INFO i.a.i.d.b.BigQueryStagingConsumerFactory(lambda$flushBufferFunction$4):115 - Flushing buffer for stream engagements (200 MB) to staging 2022-04-13 00:03:49 destination > 2022-04-13 00:03:49 INFO i.a.i.d.r.BaseSerializedBuffer(flush):138 - Finished writing data to eae6ff3c-75c6-46ea-8b53-92e14a7a60f216495917497706519151.avro (200 MB) 2022-04-13 00:03:49 destination > 2022-04-13 00:03:49 INFO i.a.i.d.b.BigQueryGcsOperations(uploadRecordsToStage):108 - Uploading records to staging for stream engagements (dataset hubspot_): product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-13 00:03:49 destination > 2022-04-13 00:03:49 INFO i.a.i.d.s.u.StreamTransferManagerHelper(getDefault):55 - PartSize arg is set to 5 MB 2022-04-13 00:03:49 destination > 2022-04-13 00:03:49 INFO a.m.s.StreamTransferManager(getMultiPartOutputStreams):329 - Initiated multipart upload to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with full ID ABPnzm7-lW-PRwzRcf5wdd5kCkX1o5jsi0aGoI5j95dZTV_LKM9h8OPm19Y0khf1h78Ft6wf 2022-04-13 00:03:49 destination > 2022-04-13 00:03:49 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm7-l...1h78Ft6wf]: Finished uploading [Part number 2 containing 5.01 MB] 2022-04-13 00:03:49 destination > 2022-04-13 00:03:49 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm7-l...1h78Ft6wf]: Finished uploading [Part number 4 containing 5.01 MB] 2022-04-13 00:03:49 destination > 2022-04-13 00:03:49 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm7-l...1h78Ft6wf]: Finished uploading [Part number 1 containing 5.01 MB] 2022-04-13 00:03:49 destination > 2022-04-13 00:03:49 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm7-l...1h78Ft6wf]: Finished uploading [Part number 6 containing 5.01 MB] 2022-04-13 00:03:49 destination > 2022-04-13 00:03:49 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm7-l...1h78Ft6wf]: Finished uploading [Part number 3 containing 5.01 MB] 2022-04-13 00:03:49 destination > 2022-04-13 00:03:49 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm7-l...1h78Ft6wf]: Finished uploading [Part number 10 containing 5.01 MB] 2022-04-13 00:03:49 destination > 2022-04-13 00:03:49 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm7-l...1h78Ft6wf]: Finished uploading [Part number 9 containing 5.01 MB] 2022-04-13 00:03:49 destination > 2022-04-13 00:03:49 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm7-l...1h78Ft6wf]: Finished uploading [Part number 7 containing 5.01 MB] 2022-04-13 00:03:49 destination > 2022-04-13 00:03:49 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm7-l...1h78Ft6wf]: Finished uploading [Part number 5 containing 5.01 MB] 2022-04-13 00:03:49 destination > 2022-04-13 00:03:49 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm7-l...1h78Ft6wf]: Finished uploading [Part number 12 containing 5.01 MB] 2022-04-13 00:03:49 destination > 2022-04-13 00:03:49 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm7-l...1h78Ft6wf]: Finished uploading [Part number 8 containing 5.01 MB] 2022-04-13 00:03:49 destination > 2022-04-13 00:03:49 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm7-l...1h78Ft6wf]: Finished uploading [Part number 13 containing 5.01 MB] 2022-04-13 00:03:50 destination > 2022-04-13 00:03:50 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm7-l...1h78Ft6wf]: Finished uploading [Part number 11 containing 5.01 MB] 2022-04-13 00:03:50 destination > 2022-04-13 00:03:50 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm7-l...1h78Ft6wf]: Finished uploading [Part number 15 containing 5.01 MB] 2022-04-13 00:03:50 destination > 2022-04-13 00:03:50 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm7-l...1h78Ft6wf]: Finished uploading [Part number 14 containing 5.01 MB] 2022-04-13 00:03:50 destination > 2022-04-13 00:03:50 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm7-l...1h78Ft6wf]: Finished uploading [Part number 18 containing 5.01 MB] 2022-04-13 00:03:50 destination > 2022-04-13 00:03:50 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm7-l...1h78Ft6wf]: Finished uploading [Part number 24 containing 5.01 MB] 2022-04-13 00:03:50 destination > 2022-04-13 00:03:50 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm7-l...1h78Ft6wf]: Finished uploading [Part number 20 containing 5.01 MB] 2022-04-13 00:03:50 destination > 2022-04-13 00:03:50 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm7-l...1h78Ft6wf]: Finished uploading [Part number 19 containing 5.01 MB] 2022-04-13 00:03:50 destination > 2022-04-13 00:03:50 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm7-l...1h78Ft6wf]: Finished uploading [Part number 16 containing 5.01 MB] 2022-04-13 00:03:50 destination > 2022-04-13 00:03:50 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm7-l...1h78Ft6wf]: Finished uploading [Part number 21 containing 5.01 MB] 2022-04-13 00:03:50 destination > 2022-04-13 00:03:50 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm7-l...1h78Ft6wf]: Finished uploading [Part number 17 containing 5.01 MB] 2022-04-13 00:03:50 destination > 2022-04-13 00:03:50 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm7-l...1h78Ft6wf]: Finished uploading [Part number 23 containing 5.01 MB] 2022-04-13 00:03:50 destination > 2022-04-13 00:03:50 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm7-l...1h78Ft6wf]: Finished uploading [Part number 22 containing 5.01 MB] 2022-04-13 00:03:50 destination > 2022-04-13 00:03:50 INFO a.m.s.MultiPartOutputStream(close):158 - Called close() on [MultipartOutputStream for parts 1 - 10000] 2022-04-13 00:03:50 destination > 2022-04-13 00:03:50 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm7-l...1h78Ft6wf]: Finished uploading [Part number 26 containing 5.01 MB] 2022-04-13 00:03:50 destination > 2022-04-13 00:03:50 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm7-l...1h78Ft6wf]: Finished uploading [Part number 30 containing 5.01 MB] 2022-04-13 00:03:50 destination > 2022-04-13 00:03:50 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm7-l...1h78Ft6wf]: Finished uploading [Part number 27 containing 5.01 MB] 2022-04-13 00:03:50 destination > 2022-04-13 00:03:50 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm7-l...1h78Ft6wf]: Finished uploading [Part number 29 containing 5.01 MB] 2022-04-13 00:03:50 destination > 2022-04-13 00:03:50 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm7-l...1h78Ft6wf]: Finished uploading [Part number 31 containing 5.01 MB] 2022-04-13 00:03:50 destination > 2022-04-13 00:03:50 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm7-l...1h78Ft6wf]: Finished uploading [Part number 28 containing 5.01 MB] 2022-04-13 00:03:50 destination > 2022-04-13 00:03:50 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm7-l...1h78Ft6wf]: Finished uploading [Part number 32 containing 5.01 MB] 2022-04-13 00:03:50 destination > 2022-04-13 00:03:50 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm7-l...1h78Ft6wf]: Finished uploading [Part number 34 containing 5.01 MB] 2022-04-13 00:03:50 destination > 2022-04-13 00:03:50 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm7-l...1h78Ft6wf]: Finished uploading [Part number 25 containing 5.01 MB] 2022-04-13 00:03:50 destination > 2022-04-13 00:03:50 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm7-l...1h78Ft6wf]: Finished uploading [Part number 33 containing 5.01 MB] 2022-04-13 00:03:50 destination > 2022-04-13 00:03:50 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm7-l...1h78Ft6wf]: Finished uploading [Part number 35 containing 5.01 MB] 2022-04-13 00:03:50 destination > 2022-04-13 00:03:50 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm7-l...1h78Ft6wf]: Finished uploading [Part number 36 containing 5.01 MB] 2022-04-13 00:03:50 destination > 2022-04-13 00:03:50 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm7-l...1h78Ft6wf]: Finished uploading [Part number 38 containing 5.01 MB] 2022-04-13 00:03:50 destination > 2022-04-13 00:03:50 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm7-l...1h78Ft6wf]: Finished uploading [Part number 39 containing 9.71 MB] 2022-04-13 00:03:50 destination > 2022-04-13 00:03:50 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm7-l...1h78Ft6wf]: Finished uploading [Part number 37 containing 5.01 MB] 2022-04-13 00:03:50 destination > 2022-04-13 00:03:50 INFO a.m.s.StreamTransferManager(complete):395 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm7-l...1h78Ft6wf]: Completed 2022-04-13 00:03:50 destination > 2022-04-13 00:03:50 INFO i.a.i.d.s.S3StorageOperations(loadDataIntoBucket):161 - Uploaded buffer file to storage: eae6ff3c-75c6-46ea-8b53-92e14a7a60f216495917497706519151.avro -> product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro (filename: 1.avro) 2022-04-13 00:03:50 destination > 2022-04-13 00:03:50 INFO i.a.i.d.b.BigQueryWriteConfig(addStagedFile):53 - Added staged file: 1.avro 2022-04-13 00:03:50 destination > 2022-04-13 00:03:50 INFO i.a.i.d.r.FileBuffer(deleteFile):81 - Deleting tempFile data eae6ff3c-75c6-46ea-8b53-92e14a7a60f216495917497706519151.avro 2022-04-13 00:03:50 destination > 2022-04-13 00:03:50 INFO i.a.i.d.r.SerializedBufferingStrategy(lambda$addRecord$0):55 - Starting a new buffer for stream engagements (current state: 317 MB in 8 buffers) 2022-04-13 00:03:50 destination > 2022-04-13 00:03:50 INFO i.a.i.d.g.u.GcsUtils(getDefaultAvroSchema):25 - Default schema. 2022-04-13 00:04:34 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5255000 (2 GB) 2022-04-13 00:04:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5256000 (2 GB) 2022-04-13 00:04:50 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5257000 (2 GB) 2022-04-13 00:04:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5258000 (2 GB) 2022-04-13 00:05:07 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5259000 (2 GB) 2022-04-13 00:05:16 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5260000 (2 GB) 2022-04-13 00:05:24 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5261000 (2 GB) 2022-04-13 00:05:34 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5262000 (2 GB) 2022-04-13 00:05:43 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5263000 (2 GB) 2022-04-13 00:05:51 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5264000 (2 GB) 2022-04-13 00:06:00 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5265000 (2 GB) 2022-04-13 00:06:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5266000 (2 GB) 2022-04-13 00:06:18 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5267000 (2 GB) 2022-04-13 00:06:28 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5268000 (2 GB) 2022-04-13 00:06:38 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5269000 (2 GB) 2022-04-13 00:06:47 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5270000 (2 GB) 2022-04-13 00:06:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5271000 (2 GB) 2022-04-13 00:07:05 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5272000 (2 GB) 2022-04-13 00:07:13 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5273000 (2 GB) 2022-04-13 00:07:21 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5274000 (2 GB) 2022-04-13 00:07:29 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5275000 (2 GB) 2022-04-13 00:07:38 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5276000 (2 GB) 2022-04-13 00:07:48 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5277000 (2 GB) 2022-04-13 00:07:56 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5278000 (2 GB) 2022-04-13 00:08:04 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5279000 (2 GB) 2022-04-13 00:08:13 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5280000 (2 GB) 2022-04-13 00:08:21 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5281000 (2 GB) 2022-04-13 00:08:30 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5282000 (2 GB) 2022-04-13 00:08:10 destination > 2022-04-13 00:08:10 INFO i.a.i.d.r.SerializedBufferingStrategy(flushWriter):82 - Flushing buffer of stream engagements (200 MB) 2022-04-13 00:08:10 destination > 2022-04-13 00:08:10 INFO i.a.i.d.b.BigQueryStagingConsumerFactory(lambda$flushBufferFunction$4):115 - Flushing buffer for stream engagements (200 MB) to staging 2022-04-13 00:08:10 destination > 2022-04-13 00:08:10 INFO i.a.i.d.r.BaseSerializedBuffer(flush):138 - Finished writing data to 0e26c559-60a1-483d-929f-a059df79271116269380767633847815.avro (200 MB) 2022-04-13 00:08:10 destination > 2022-04-13 00:08:10 INFO i.a.i.d.b.BigQueryGcsOperations(uploadRecordsToStage):108 - Uploading records to staging for stream engagements (dataset hubspot_): product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-13 00:08:10 destination > 2022-04-13 00:08:10 INFO i.a.i.d.s.u.StreamTransferManagerHelper(getDefault):55 - PartSize arg is set to 5 MB 2022-04-13 00:08:10 destination > 2022-04-13 00:08:10 INFO a.m.s.StreamTransferManager(getMultiPartOutputStreams):329 - Initiated multipart upload to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with full ID ABPnzm5NT07Dk2sngsXJ8TGnzrJ7Mqrk6QWtjykNOoAXJye6KxLN8G6qZohYtILpL7yuS8jn 2022-04-13 00:08:11 destination > 2022-04-13 00:08:11 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm5NT...pL7yuS8jn]: Finished uploading [Part number 1 containing 5.01 MB] 2022-04-13 00:08:11 destination > 2022-04-13 00:08:11 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm5NT...pL7yuS8jn]: Finished uploading [Part number 3 containing 5.01 MB] 2022-04-13 00:08:11 destination > 2022-04-13 00:08:11 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm5NT...pL7yuS8jn]: Finished uploading [Part number 2 containing 5.01 MB] 2022-04-13 00:08:11 destination > 2022-04-13 00:08:11 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm5NT...pL7yuS8jn]: Finished uploading [Part number 4 containing 5.01 MB] 2022-04-13 00:08:11 destination > 2022-04-13 00:08:11 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm5NT...pL7yuS8jn]: Finished uploading [Part number 7 containing 5.01 MB] 2022-04-13 00:08:11 destination > 2022-04-13 00:08:11 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm5NT...pL7yuS8jn]: Finished uploading [Part number 8 containing 5.01 MB] 2022-04-13 00:08:11 destination > 2022-04-13 00:08:11 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm5NT...pL7yuS8jn]: Finished uploading [Part number 5 containing 5.01 MB] 2022-04-13 00:08:11 destination > 2022-04-13 00:08:11 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm5NT...pL7yuS8jn]: Finished uploading [Part number 6 containing 5.01 MB] 2022-04-13 00:08:11 destination > 2022-04-13 00:08:11 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm5NT...pL7yuS8jn]: Finished uploading [Part number 9 containing 5.01 MB] 2022-04-13 00:08:11 destination > 2022-04-13 00:08:11 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm5NT...pL7yuS8jn]: Finished uploading [Part number 10 containing 5.01 MB] 2022-04-13 00:08:11 destination > 2022-04-13 00:08:11 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm5NT...pL7yuS8jn]: Finished uploading [Part number 13 containing 5.01 MB] 2022-04-13 00:08:11 destination > 2022-04-13 00:08:11 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm5NT...pL7yuS8jn]: Finished uploading [Part number 12 containing 5.01 MB] 2022-04-13 00:08:11 destination > 2022-04-13 00:08:11 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm5NT...pL7yuS8jn]: Finished uploading [Part number 14 containing 5.01 MB] 2022-04-13 00:08:11 destination > 2022-04-13 00:08:11 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm5NT...pL7yuS8jn]: Finished uploading [Part number 17 containing 5.01 MB] 2022-04-13 00:08:11 destination > 2022-04-13 00:08:11 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm5NT...pL7yuS8jn]: Finished uploading [Part number 16 containing 5.01 MB] 2022-04-13 00:08:11 destination > 2022-04-13 00:08:11 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm5NT...pL7yuS8jn]: Finished uploading [Part number 11 containing 5.01 MB] 2022-04-13 00:08:11 destination > 2022-04-13 00:08:11 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm5NT...pL7yuS8jn]: Finished uploading [Part number 15 containing 5.01 MB] 2022-04-13 00:08:11 destination > 2022-04-13 00:08:11 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm5NT...pL7yuS8jn]: Finished uploading [Part number 20 containing 5.01 MB] 2022-04-13 00:08:11 destination > 2022-04-13 00:08:11 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm5NT...pL7yuS8jn]: Finished uploading [Part number 18 containing 5.01 MB] 2022-04-13 00:08:11 destination > 2022-04-13 00:08:11 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm5NT...pL7yuS8jn]: Finished uploading [Part number 19 containing 5.01 MB] 2022-04-13 00:08:11 destination > 2022-04-13 00:08:11 INFO a.m.s.MultiPartOutputStream(close):158 - Called close() on [MultipartOutputStream for parts 1 - 10000] 2022-04-13 00:08:11 destination > 2022-04-13 00:08:11 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm5NT...pL7yuS8jn]: Finished uploading [Part number 22 containing 5.01 MB] 2022-04-13 00:08:11 destination > 2022-04-13 00:08:11 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm5NT...pL7yuS8jn]: Finished uploading [Part number 24 containing 5.01 MB] 2022-04-13 00:08:11 destination > 2022-04-13 00:08:11 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm5NT...pL7yuS8jn]: Finished uploading [Part number 23 containing 5.01 MB] 2022-04-13 00:08:11 destination > 2022-04-13 00:08:11 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm5NT...pL7yuS8jn]: Finished uploading [Part number 26 containing 5.01 MB] 2022-04-13 00:08:11 destination > 2022-04-13 00:08:11 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm5NT...pL7yuS8jn]: Finished uploading [Part number 21 containing 5.01 MB] 2022-04-13 00:08:11 destination > 2022-04-13 00:08:11 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm5NT...pL7yuS8jn]: Finished uploading [Part number 25 containing 5.01 MB] 2022-04-13 00:08:11 destination > 2022-04-13 00:08:11 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm5NT...pL7yuS8jn]: Finished uploading [Part number 27 containing 5.01 MB] 2022-04-13 00:08:11 destination > 2022-04-13 00:08:11 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm5NT...pL7yuS8jn]: Finished uploading [Part number 30 containing 5.01 MB] 2022-04-13 00:08:11 destination > 2022-04-13 00:08:11 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm5NT...pL7yuS8jn]: Finished uploading [Part number 29 containing 5.01 MB] 2022-04-13 00:08:11 destination > 2022-04-13 00:08:11 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm5NT...pL7yuS8jn]: Finished uploading [Part number 28 containing 5.01 MB] 2022-04-13 00:08:11 destination > 2022-04-13 00:08:11 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm5NT...pL7yuS8jn]: Finished uploading [Part number 32 containing 5.01 MB] 2022-04-13 00:08:11 destination > 2022-04-13 00:08:11 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm5NT...pL7yuS8jn]: Finished uploading [Part number 33 containing 5.01 MB] 2022-04-13 00:08:11 destination > 2022-04-13 00:08:11 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm5NT...pL7yuS8jn]: Finished uploading [Part number 34 containing 5.01 MB] 2022-04-13 00:08:11 destination > 2022-04-13 00:08:11 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm5NT...pL7yuS8jn]: Finished uploading [Part number 35 containing 5.01 MB] 2022-04-13 00:08:11 destination > 2022-04-13 00:08:11 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm5NT...pL7yuS8jn]: Finished uploading [Part number 37 containing 5.01 MB] 2022-04-13 00:08:11 destination > 2022-04-13 00:08:11 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm5NT...pL7yuS8jn]: Finished uploading [Part number 31 containing 5.01 MB] 2022-04-13 00:08:11 destination > 2022-04-13 00:08:11 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm5NT...pL7yuS8jn]: Finished uploading [Part number 38 containing 5.01 MB] 2022-04-13 00:08:11 destination > 2022-04-13 00:08:11 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm5NT...pL7yuS8jn]: Finished uploading [Part number 36 containing 5.01 MB] 2022-04-13 00:08:11 destination > 2022-04-13 00:08:11 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm5NT...pL7yuS8jn]: Finished uploading [Part number 39 containing 9.73 MB] 2022-04-13 00:08:12 destination > 2022-04-13 00:08:12 INFO a.m.s.StreamTransferManager(complete):395 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm5NT...pL7yuS8jn]: Completed 2022-04-13 00:08:12 destination > 2022-04-13 00:08:12 INFO i.a.i.d.s.S3StorageOperations(loadDataIntoBucket):161 - Uploaded buffer file to storage: 0e26c559-60a1-483d-929f-a059df79271116269380767633847815.avro -> product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro (filename: 2.avro) 2022-04-13 00:08:12 destination > 2022-04-13 00:08:12 INFO i.a.i.d.b.BigQueryWriteConfig(addStagedFile):53 - Added staged file: 2.avro 2022-04-13 00:08:12 destination > 2022-04-13 00:08:12 INFO i.a.i.d.r.FileBuffer(deleteFile):81 - Deleting tempFile data 0e26c559-60a1-483d-929f-a059df79271116269380767633847815.avro 2022-04-13 00:08:12 destination > 2022-04-13 00:08:12 INFO i.a.i.d.r.SerializedBufferingStrategy(lambda$addRecord$0):55 - Starting a new buffer for stream engagements (current state: 317 MB in 8 buffers) 2022-04-13 00:08:12 destination > 2022-04-13 00:08:12 INFO i.a.i.d.g.u.GcsUtils(getDefaultAvroSchema):25 - Default schema. 2022-04-13 00:08:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5283000 (2 GB) 2022-04-13 00:08:51 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5284000 (2 GB) 2022-04-13 00:09:00 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5285000 (2 GB) 2022-04-13 00:09:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5286000 (2 GB) 2022-04-13 00:09:18 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5287000 (2 GB) 2022-04-13 00:09:27 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5288000 (2 GB) 2022-04-13 00:09:37 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5289000 (2 GB) 2022-04-13 00:09:46 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5290000 (2 GB) 2022-04-13 00:09:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5291000 (2 GB) 2022-04-13 00:10:05 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5292000 (2 GB) 2022-04-13 00:10:14 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5293000 (2 GB) 2022-04-13 00:10:23 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5294000 (2 GB) 2022-04-13 00:10:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5295000 (2 GB) 2022-04-13 00:10:39 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5296000 (2 GB) 2022-04-13 00:10:47 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5297000 (2 GB) 2022-04-13 00:10:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5298000 (2 GB) 2022-04-13 00:11:04 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5299000 (2 GB) 2022-04-13 00:11:12 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5300000 (2 GB) 2022-04-13 00:11:20 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5301000 (2 GB) 2022-04-13 00:11:28 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5302000 (3 GB) 2022-04-13 00:11:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5303000 (3 GB) 2022-04-13 00:11:44 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5304000 (3 GB) 2022-04-13 00:11:52 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5305000 (3 GB) 2022-04-13 00:12:00 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5306000 (3 GB) 2022-04-13 00:12:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5307000 (3 GB) 2022-04-13 00:12:19 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5308000 (3 GB) 2022-04-13 00:12:27 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5309000 (3 GB) 2022-04-13 00:11:53 destination > 2022-04-13 00:11:53 INFO i.a.i.d.r.SerializedBufferingStrategy(flushWriter):82 - Flushing buffer of stream engagements (200 MB) 2022-04-13 00:11:53 destination > 2022-04-13 00:11:53 INFO i.a.i.d.b.BigQueryStagingConsumerFactory(lambda$flushBufferFunction$4):115 - Flushing buffer for stream engagements (200 MB) to staging 2022-04-13 00:11:54 destination > 2022-04-13 00:11:54 INFO i.a.i.d.r.BaseSerializedBuffer(flush):138 - Finished writing data to 852215c8-642c-4c53-b2f4-d20d5d174b6015599507691696019034.avro (200 MB) 2022-04-13 00:11:54 destination > 2022-04-13 00:11:54 INFO i.a.i.d.b.BigQueryGcsOperations(uploadRecordsToStage):108 - Uploading records to staging for stream engagements (dataset hubspot_): product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-13 00:11:54 destination > 2022-04-13 00:11:54 INFO i.a.i.d.s.u.StreamTransferManagerHelper(getDefault):55 - PartSize arg is set to 5 MB 2022-04-13 00:11:54 destination > 2022-04-13 00:11:54 INFO a.m.s.StreamTransferManager(getMultiPartOutputStreams):329 - Initiated multipart upload to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with full ID ABPnzm4FElDpYVQyJxdcdCshBcf5hvPFHztuHdQP8iXlS0kslUPv7xCx9lsAkyIdzkK_Lz2o 2022-04-13 00:11:54 destination > 2022-04-13 00:11:54 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm4FE...dzkK_Lz2o]: Finished uploading [Part number 2 containing 5.01 MB] 2022-04-13 00:11:54 destination > 2022-04-13 00:11:54 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm4FE...dzkK_Lz2o]: Finished uploading [Part number 1 containing 5.01 MB] 2022-04-13 00:11:54 destination > 2022-04-13 00:11:54 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm4FE...dzkK_Lz2o]: Finished uploading [Part number 5 containing 5.01 MB] 2022-04-13 00:11:54 destination > 2022-04-13 00:11:54 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm4FE...dzkK_Lz2o]: Finished uploading [Part number 3 containing 5.01 MB] 2022-04-13 00:11:54 destination > 2022-04-13 00:11:54 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm4FE...dzkK_Lz2o]: Finished uploading [Part number 4 containing 5.01 MB] 2022-04-13 00:11:54 destination > 2022-04-13 00:11:54 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm4FE...dzkK_Lz2o]: Finished uploading [Part number 9 containing 5.01 MB] 2022-04-13 00:11:54 destination > 2022-04-13 00:11:54 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm4FE...dzkK_Lz2o]: Finished uploading [Part number 8 containing 5.01 MB] 2022-04-13 00:11:54 destination > 2022-04-13 00:11:54 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm4FE...dzkK_Lz2o]: Finished uploading [Part number 6 containing 5.01 MB] 2022-04-13 00:11:54 destination > 2022-04-13 00:11:54 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm4FE...dzkK_Lz2o]: Finished uploading [Part number 7 containing 5.01 MB] 2022-04-13 00:11:54 destination > 2022-04-13 00:11:54 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm4FE...dzkK_Lz2o]: Finished uploading [Part number 14 containing 5.01 MB] 2022-04-13 00:11:54 destination > 2022-04-13 00:11:54 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm4FE...dzkK_Lz2o]: Finished uploading [Part number 10 containing 5.01 MB] 2022-04-13 00:11:54 destination > 2022-04-13 00:11:54 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm4FE...dzkK_Lz2o]: Finished uploading [Part number 15 containing 5.01 MB] 2022-04-13 00:11:54 destination > 2022-04-13 00:11:54 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm4FE...dzkK_Lz2o]: Finished uploading [Part number 11 containing 5.01 MB] 2022-04-13 00:11:54 destination > 2022-04-13 00:11:54 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm4FE...dzkK_Lz2o]: Finished uploading [Part number 12 containing 5.01 MB] 2022-04-13 00:11:54 destination > 2022-04-13 00:11:54 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm4FE...dzkK_Lz2o]: Finished uploading [Part number 13 containing 5.01 MB] 2022-04-13 00:11:54 destination > 2022-04-13 00:11:54 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm4FE...dzkK_Lz2o]: Finished uploading [Part number 16 containing 5.01 MB] 2022-04-13 00:11:54 destination > 2022-04-13 00:11:54 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm4FE...dzkK_Lz2o]: Finished uploading [Part number 17 containing 5.01 MB] 2022-04-13 00:11:54 destination > 2022-04-13 00:11:54 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm4FE...dzkK_Lz2o]: Finished uploading [Part number 18 containing 5.01 MB] 2022-04-13 00:11:54 destination > 2022-04-13 00:11:54 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm4FE...dzkK_Lz2o]: Finished uploading [Part number 22 containing 5.01 MB] 2022-04-13 00:11:54 destination > 2022-04-13 00:11:54 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm4FE...dzkK_Lz2o]: Finished uploading [Part number 19 containing 5.01 MB] 2022-04-13 00:11:54 destination > 2022-04-13 00:11:54 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm4FE...dzkK_Lz2o]: Finished uploading [Part number 20 containing 5.01 MB] 2022-04-13 00:11:54 destination > 2022-04-13 00:11:54 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm4FE...dzkK_Lz2o]: Finished uploading [Part number 21 containing 5.01 MB] 2022-04-13 00:11:54 destination > 2022-04-13 00:11:54 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm4FE...dzkK_Lz2o]: Finished uploading [Part number 24 containing 5.01 MB] 2022-04-13 00:11:54 destination > 2022-04-13 00:11:54 INFO a.m.s.MultiPartOutputStream(close):158 - Called close() on [MultipartOutputStream for parts 1 - 10000] 2022-04-13 00:11:54 destination > 2022-04-13 00:11:54 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm4FE...dzkK_Lz2o]: Finished uploading [Part number 23 containing 5.01 MB] 2022-04-13 00:11:54 destination > 2022-04-13 00:11:54 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm4FE...dzkK_Lz2o]: Finished uploading [Part number 25 containing 5.01 MB] 2022-04-13 00:11:54 destination > 2022-04-13 00:11:54 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm4FE...dzkK_Lz2o]: Finished uploading [Part number 26 containing 5.01 MB] 2022-04-13 00:11:54 destination > 2022-04-13 00:11:54 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm4FE...dzkK_Lz2o]: Finished uploading [Part number 27 containing 5.01 MB] 2022-04-13 00:11:54 destination > 2022-04-13 00:11:54 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm4FE...dzkK_Lz2o]: Finished uploading [Part number 29 containing 5.01 MB] 2022-04-13 00:11:54 destination > 2022-04-13 00:11:54 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm4FE...dzkK_Lz2o]: Finished uploading [Part number 30 containing 5.01 MB] 2022-04-13 00:11:54 destination > 2022-04-13 00:11:54 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm4FE...dzkK_Lz2o]: Finished uploading [Part number 28 containing 5.01 MB] 2022-04-13 00:11:54 destination > 2022-04-13 00:11:54 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm4FE...dzkK_Lz2o]: Finished uploading [Part number 32 containing 5.01 MB] 2022-04-13 00:11:54 destination > 2022-04-13 00:11:54 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm4FE...dzkK_Lz2o]: Finished uploading [Part number 34 containing 5.01 MB] 2022-04-13 00:11:54 destination > 2022-04-13 00:11:54 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm4FE...dzkK_Lz2o]: Finished uploading [Part number 31 containing 5.01 MB] 2022-04-13 00:11:54 destination > 2022-04-13 00:11:54 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm4FE...dzkK_Lz2o]: Finished uploading [Part number 36 containing 5.01 MB] 2022-04-13 00:11:54 destination > 2022-04-13 00:11:54 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm4FE...dzkK_Lz2o]: Finished uploading [Part number 35 containing 5.01 MB] 2022-04-13 00:11:55 destination > 2022-04-13 00:11:55 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm4FE...dzkK_Lz2o]: Finished uploading [Part number 38 containing 5.01 MB] 2022-04-13 00:11:55 destination > 2022-04-13 00:11:55 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm4FE...dzkK_Lz2o]: Finished uploading [Part number 33 containing 5.01 MB] 2022-04-13 00:11:55 destination > 2022-04-13 00:11:55 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm4FE...dzkK_Lz2o]: Finished uploading [Part number 37 containing 5.01 MB] 2022-04-13 00:11:55 destination > 2022-04-13 00:11:55 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm4FE...dzkK_Lz2o]: Finished uploading [Part number 39 containing 9.75 MB] 2022-04-13 00:11:55 destination > 2022-04-13 00:11:55 INFO a.m.s.StreamTransferManager(complete):395 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm4FE...dzkK_Lz2o]: Completed 2022-04-13 00:11:55 destination > 2022-04-13 00:11:55 INFO i.a.i.d.s.S3StorageOperations(loadDataIntoBucket):161 - Uploaded buffer file to storage: 852215c8-642c-4c53-b2f4-d20d5d174b6015599507691696019034.avro -> product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro (filename: 3.avro) 2022-04-13 00:11:55 destination > 2022-04-13 00:11:55 INFO i.a.i.d.b.BigQueryWriteConfig(addStagedFile):53 - Added staged file: 3.avro 2022-04-13 00:11:55 destination > 2022-04-13 00:11:55 INFO i.a.i.d.r.FileBuffer(deleteFile):81 - Deleting tempFile data 852215c8-642c-4c53-b2f4-d20d5d174b6015599507691696019034.avro 2022-04-13 00:11:55 destination > 2022-04-13 00:11:55 INFO i.a.i.d.r.SerializedBufferingStrategy(lambda$addRecord$0):55 - Starting a new buffer for stream engagements (current state: 317 MB in 8 buffers) 2022-04-13 00:11:55 destination > 2022-04-13 00:11:55 INFO i.a.i.d.g.u.GcsUtils(getDefaultAvroSchema):25 - Default schema. 2022-04-13 00:12:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5310000 (3 GB) 2022-04-13 00:12:45 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5311000 (3 GB) 2022-04-13 00:12:52 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5312000 (3 GB) 2022-04-13 00:13:02 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5313000 (3 GB) 2022-04-13 00:13:11 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5314000 (3 GB) 2022-04-13 00:13:20 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5315000 (3 GB) 2022-04-13 00:13:27 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5316000 (3 GB) 2022-04-13 00:13:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5317000 (3 GB) 2022-04-13 00:13:45 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5318000 (3 GB) 2022-04-13 00:13:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5319000 (3 GB) 2022-04-13 00:14:04 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5320000 (3 GB) 2022-04-13 00:14:13 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5321000 (3 GB) 2022-04-13 00:14:22 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5322000 (3 GB) 2022-04-13 00:14:29 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5323000 (3 GB) 2022-04-13 00:14:38 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5324000 (3 GB) 2022-04-13 00:14:45 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5325000 (3 GB) 2022-04-13 00:14:53 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5326000 (3 GB) 2022-04-13 00:15:00 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5327000 (3 GB) 2022-04-13 00:15:10 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5328000 (3 GB) 2022-04-13 00:15:19 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5329000 (3 GB) 2022-04-13 00:15:27 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5330000 (3 GB) 2022-04-13 00:15:34 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5331000 (3 GB) 2022-04-13 00:15:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5332000 (3 GB) 2022-04-13 00:15:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5333000 (3 GB) 2022-04-13 00:15:56 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5334000 (3 GB) 2022-04-13 00:16:06 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5335000 (3 GB) 2022-04-13 00:16:15 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5336000 (3 GB) 2022-04-13 00:16:22 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5337000 (3 GB) 2022-04-13 00:16:30 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5338000 (3 GB) 2022-04-13 00:16:11 destination > 2022-04-13 00:16:11 INFO i.a.i.d.r.SerializedBufferingStrategy(flushWriter):82 - Flushing buffer of stream engagements (200 MB) 2022-04-13 00:16:11 destination > 2022-04-13 00:16:11 INFO i.a.i.d.b.BigQueryStagingConsumerFactory(lambda$flushBufferFunction$4):115 - Flushing buffer for stream engagements (200 MB) to staging 2022-04-13 00:16:11 destination > 2022-04-13 00:16:11 INFO i.a.i.d.r.BaseSerializedBuffer(flush):138 - Finished writing data to 7155409b-0408-49c3-b67f-6d0d9f84e97e10897873556107367357.avro (200 MB) 2022-04-13 00:16:11 destination > 2022-04-13 00:16:11 INFO i.a.i.d.b.BigQueryGcsOperations(uploadRecordsToStage):108 - Uploading records to staging for stream engagements (dataset hubspot_): product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-13 00:16:12 destination > 2022-04-13 00:16:12 INFO i.a.i.d.s.u.StreamTransferManagerHelper(getDefault):55 - PartSize arg is set to 5 MB 2022-04-13 00:16:12 destination > 2022-04-13 00:16:12 INFO a.m.s.StreamTransferManager(getMultiPartOutputStreams):329 - Initiated multipart upload to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with full ID ABPnzm4iZrn_OQvk0wpGp2iLtQNbwC1o0E2mrkFrkG-883wV331VJZVvyDCdnwSDFINDodx0 2022-04-13 00:16:12 destination > 2022-04-13 00:16:12 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm4iZ...DFINDodx0]: Finished uploading [Part number 1 containing 5.01 MB] 2022-04-13 00:16:12 destination > 2022-04-13 00:16:12 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm4iZ...DFINDodx0]: Finished uploading [Part number 5 containing 5.01 MB] 2022-04-13 00:16:12 destination > 2022-04-13 00:16:12 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm4iZ...DFINDodx0]: Finished uploading [Part number 3 containing 5.01 MB] 2022-04-13 00:16:12 destination > 2022-04-13 00:16:12 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm4iZ...DFINDodx0]: Finished uploading [Part number 2 containing 5.01 MB] 2022-04-13 00:16:12 destination > 2022-04-13 00:16:12 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm4iZ...DFINDodx0]: Finished uploading [Part number 7 containing 5.01 MB] 2022-04-13 00:16:12 destination > 2022-04-13 00:16:12 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm4iZ...DFINDodx0]: Finished uploading [Part number 4 containing 5.01 MB] 2022-04-13 00:16:12 destination > 2022-04-13 00:16:12 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm4iZ...DFINDodx0]: Finished uploading [Part number 8 containing 5.01 MB] 2022-04-13 00:16:12 destination > 2022-04-13 00:16:12 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm4iZ...DFINDodx0]: Finished uploading [Part number 6 containing 5.01 MB] 2022-04-13 00:16:12 destination > 2022-04-13 00:16:12 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm4iZ...DFINDodx0]: Finished uploading [Part number 10 containing 5.01 MB] 2022-04-13 00:16:12 destination > 2022-04-13 00:16:12 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm4iZ...DFINDodx0]: Finished uploading [Part number 11 containing 5.01 MB] 2022-04-13 00:16:12 destination > 2022-04-13 00:16:12 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm4iZ...DFINDodx0]: Finished uploading [Part number 9 containing 5.01 MB] 2022-04-13 00:16:12 destination > 2022-04-13 00:16:12 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm4iZ...DFINDodx0]: Finished uploading [Part number 14 containing 5.01 MB] 2022-04-13 00:16:12 destination > 2022-04-13 00:16:12 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm4iZ...DFINDodx0]: Finished uploading [Part number 12 containing 5.01 MB] 2022-04-13 00:16:12 destination > 2022-04-13 00:16:12 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm4iZ...DFINDodx0]: Finished uploading [Part number 13 containing 5.01 MB] 2022-04-13 00:16:12 destination > 2022-04-13 00:16:12 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm4iZ...DFINDodx0]: Finished uploading [Part number 17 containing 5.01 MB] 2022-04-13 00:16:12 destination > 2022-04-13 00:16:12 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm4iZ...DFINDodx0]: Finished uploading [Part number 16 containing 5.01 MB] 2022-04-13 00:16:12 destination > 2022-04-13 00:16:12 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm4iZ...DFINDodx0]: Finished uploading [Part number 15 containing 5.01 MB] 2022-04-13 00:16:12 destination > 2022-04-13 00:16:12 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm4iZ...DFINDodx0]: Finished uploading [Part number 18 containing 5.01 MB] 2022-04-13 00:16:12 destination > 2022-04-13 00:16:12 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm4iZ...DFINDodx0]: Finished uploading [Part number 22 containing 5.01 MB] 2022-04-13 00:16:12 destination > 2022-04-13 00:16:12 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm4iZ...DFINDodx0]: Finished uploading [Part number 19 containing 5.01 MB] 2022-04-13 00:16:12 destination > 2022-04-13 00:16:12 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm4iZ...DFINDodx0]: Finished uploading [Part number 25 containing 5.01 MB] 2022-04-13 00:16:12 destination > 2022-04-13 00:16:12 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm4iZ...DFINDodx0]: Finished uploading [Part number 21 containing 5.01 MB] 2022-04-13 00:16:12 destination > 2022-04-13 00:16:12 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm4iZ...DFINDodx0]: Finished uploading [Part number 26 containing 5.01 MB] 2022-04-13 00:16:12 destination > 2022-04-13 00:16:12 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm4iZ...DFINDodx0]: Finished uploading [Part number 20 containing 5.01 MB] 2022-04-13 00:16:12 destination > 2022-04-13 00:16:12 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm4iZ...DFINDodx0]: Finished uploading [Part number 27 containing 5.01 MB] 2022-04-13 00:16:12 destination > 2022-04-13 00:16:12 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm4iZ...DFINDodx0]: Finished uploading [Part number 24 containing 5.01 MB] 2022-04-13 00:16:12 destination > 2022-04-13 00:16:12 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm4iZ...DFINDodx0]: Finished uploading [Part number 23 containing 5.01 MB] 2022-04-13 00:16:12 destination > 2022-04-13 00:16:12 INFO a.m.s.MultiPartOutputStream(close):158 - Called close() on [MultipartOutputStream for parts 1 - 10000] 2022-04-13 00:16:12 destination > 2022-04-13 00:16:12 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm4iZ...DFINDodx0]: Finished uploading [Part number 29 containing 5.01 MB] 2022-04-13 00:16:12 destination > 2022-04-13 00:16:12 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm4iZ...DFINDodx0]: Finished uploading [Part number 28 containing 5.01 MB] 2022-04-13 00:16:12 destination > 2022-04-13 00:16:12 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm4iZ...DFINDodx0]: Finished uploading [Part number 31 containing 5.01 MB] 2022-04-13 00:16:13 destination > 2022-04-13 00:16:13 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm4iZ...DFINDodx0]: Finished uploading [Part number 32 containing 5.01 MB] 2022-04-13 00:16:13 destination > 2022-04-13 00:16:13 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm4iZ...DFINDodx0]: Finished uploading [Part number 33 containing 5.01 MB] 2022-04-13 00:16:13 destination > 2022-04-13 00:16:13 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm4iZ...DFINDodx0]: Finished uploading [Part number 35 containing 5.01 MB] 2022-04-13 00:16:13 destination > 2022-04-13 00:16:13 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm4iZ...DFINDodx0]: Finished uploading [Part number 34 containing 5.01 MB] 2022-04-13 00:16:13 destination > 2022-04-13 00:16:13 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm4iZ...DFINDodx0]: Finished uploading [Part number 30 containing 5.01 MB] 2022-04-13 00:16:13 destination > 2022-04-13 00:16:13 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm4iZ...DFINDodx0]: Finished uploading [Part number 36 containing 5.01 MB] 2022-04-13 00:16:13 destination > 2022-04-13 00:16:13 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm4iZ...DFINDodx0]: Finished uploading [Part number 37 containing 5.01 MB] 2022-04-13 00:16:13 destination > 2022-04-13 00:16:13 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm4iZ...DFINDodx0]: Finished uploading [Part number 38 containing 5.01 MB] 2022-04-13 00:16:13 destination > 2022-04-13 00:16:13 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm4iZ...DFINDodx0]: Finished uploading [Part number 40 containing 5.01 MB] 2022-04-13 00:16:13 destination > 2022-04-13 00:16:13 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm4iZ...DFINDodx0]: Finished uploading [Part number 39 containing 5.01 MB] 2022-04-13 00:16:13 destination > 2022-04-13 00:16:13 INFO a.m.s.StreamTransferManager(complete):395 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm4iZ...DFINDodx0]: Completed 2022-04-13 00:16:13 destination > 2022-04-13 00:16:13 INFO i.a.i.d.s.S3StorageOperations(loadDataIntoBucket):161 - Uploaded buffer file to storage: 7155409b-0408-49c3-b67f-6d0d9f84e97e10897873556107367357.avro -> product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro (filename: 4.avro) 2022-04-13 00:16:13 destination > 2022-04-13 00:16:13 INFO i.a.i.d.b.BigQueryWriteConfig(addStagedFile):53 - Added staged file: 4.avro 2022-04-13 00:16:13 destination > 2022-04-13 00:16:13 INFO i.a.i.d.r.FileBuffer(deleteFile):81 - Deleting tempFile data 7155409b-0408-49c3-b67f-6d0d9f84e97e10897873556107367357.avro 2022-04-13 00:16:13 destination > 2022-04-13 00:16:13 INFO i.a.i.d.r.SerializedBufferingStrategy(lambda$addRecord$0):55 - Starting a new buffer for stream engagements (current state: 317 MB in 8 buffers) 2022-04-13 00:16:13 destination > 2022-04-13 00:16:13 INFO i.a.i.d.g.u.GcsUtils(getDefaultAvroSchema):25 - Default schema. 2022-04-13 00:16:38 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5339000 (3 GB) 2022-04-13 00:16:44 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5340000 (3 GB) 2022-04-13 00:16:52 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5341000 (3 GB) 2022-04-13 00:17:01 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5342000 (3 GB) 2022-04-13 00:17:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5343000 (3 GB) 2022-04-13 00:17:17 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5344000 (3 GB) 2022-04-13 00:17:25 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5345000 (3 GB) 2022-04-13 00:17:33 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5346000 (3 GB) 2022-04-13 00:17:42 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5347000 (3 GB) 2022-04-13 00:17:50 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5348000 (3 GB) 2022-04-13 00:17:57 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5349000 (3 GB) 2022-04-13 00:18:05 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5350000 (3 GB) 2022-04-13 00:18:13 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5351000 (3 GB) 2022-04-13 00:18:20 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5352000 (3 GB) 2022-04-13 00:18:27 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5353000 (3 GB) 2022-04-13 00:18:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5354000 (3 GB) 2022-04-13 00:18:43 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5355000 (3 GB) 2022-04-13 00:18:52 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5356000 (3 GB) 2022-04-13 00:18:59 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5357000 (3 GB) 2022-04-13 00:19:08 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5358000 (3 GB) 2022-04-13 00:19:16 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5359000 (3 GB) 2022-04-13 00:19:25 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5360000 (3 GB) 2022-04-13 00:19:33 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5361000 (3 GB) 2022-04-13 00:19:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5362000 (3 GB) 2022-04-13 00:19:52 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5363000 (3 GB) 2022-04-13 00:20:00 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5364000 (3 GB) 2022-04-13 00:20:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5365000 (3 GB) 2022-04-13 00:20:19 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5366000 (3 GB) 2022-04-13 00:20:27 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5367000 (3 GB) 2022-04-13 00:20:35 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5368000 (3 GB) 2022-04-13 00:20:43 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5369000 (3 GB) 2022-04-13 00:20:54 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5370000 (3 GB) 2022-04-13 00:21:02 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5371000 (3 GB) 2022-04-13 00:21:13 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5372000 (3 GB) 2022-04-13 00:21:21 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5373000 (3 GB) 2022-04-13 00:21:31 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5374000 (3 GB) 2022-04-13 00:21:11 destination > 2022-04-13 00:21:11 INFO i.a.i.d.r.SerializedBufferingStrategy(flushWriter):82 - Flushing buffer of stream engagements (200 MB) 2022-04-13 00:21:11 destination > 2022-04-13 00:21:11 INFO i.a.i.d.b.BigQueryStagingConsumerFactory(lambda$flushBufferFunction$4):115 - Flushing buffer for stream engagements (200 MB) to staging 2022-04-13 00:21:11 destination > 2022-04-13 00:21:11 INFO i.a.i.d.r.BaseSerializedBuffer(flush):138 - Finished writing data to d781f5ba-0bd4-4f36-a2b2-d57e223ce31c12963843281238987110.avro (200 MB) 2022-04-13 00:21:11 destination > 2022-04-13 00:21:11 INFO i.a.i.d.b.BigQueryGcsOperations(uploadRecordsToStage):108 - Uploading records to staging for stream engagements (dataset hubspot_): product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-13 00:21:11 destination > 2022-04-13 00:21:11 INFO i.a.i.d.s.u.StreamTransferManagerHelper(getDefault):55 - PartSize arg is set to 5 MB 2022-04-13 00:21:11 destination > 2022-04-13 00:21:11 INFO a.m.s.StreamTransferManager(getMultiPartOutputStreams):329 - Initiated multipart upload to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with full ID ABPnzm5ItdYMFEHYeXkNs4ZXrcHHlQQcvybHKidPhkQDcio0WEHRpvgvP27-FtI-Iqo0fT2v 2022-04-13 00:21:11 destination > 2022-04-13 00:21:11 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm5It...-Iqo0fT2v]: Finished uploading [Part number 1 containing 5.01 MB] 2022-04-13 00:21:11 destination > 2022-04-13 00:21:11 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm5It...-Iqo0fT2v]: Finished uploading [Part number 2 containing 5.01 MB] 2022-04-13 00:21:11 destination > 2022-04-13 00:21:11 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm5It...-Iqo0fT2v]: Finished uploading [Part number 8 containing 5.01 MB] 2022-04-13 00:21:11 destination > 2022-04-13 00:21:11 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm5It...-Iqo0fT2v]: Finished uploading [Part number 4 containing 5.01 MB] 2022-04-13 00:21:11 destination > 2022-04-13 00:21:11 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm5It...-Iqo0fT2v]: Finished uploading [Part number 3 containing 5.01 MB] 2022-04-13 00:21:11 destination > 2022-04-13 00:21:11 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm5It...-Iqo0fT2v]: Finished uploading [Part number 6 containing 5.01 MB] 2022-04-13 00:21:11 destination > 2022-04-13 00:21:11 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm5It...-Iqo0fT2v]: Finished uploading [Part number 5 containing 5.01 MB] 2022-04-13 00:21:11 destination > 2022-04-13 00:21:11 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm5It...-Iqo0fT2v]: Finished uploading [Part number 7 containing 5.01 MB] 2022-04-13 00:21:11 destination > 2022-04-13 00:21:11 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm5It...-Iqo0fT2v]: Finished uploading [Part number 9 containing 5.01 MB] 2022-04-13 00:21:11 destination > 2022-04-13 00:21:11 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm5It...-Iqo0fT2v]: Finished uploading [Part number 11 containing 5.01 MB] 2022-04-13 00:21:11 destination > 2022-04-13 00:21:11 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm5It...-Iqo0fT2v]: Finished uploading [Part number 10 containing 5.01 MB] 2022-04-13 00:21:11 destination > 2022-04-13 00:21:11 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm5It...-Iqo0fT2v]: Finished uploading [Part number 12 containing 5.01 MB] 2022-04-13 00:21:11 destination > 2022-04-13 00:21:11 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm5It...-Iqo0fT2v]: Finished uploading [Part number 13 containing 5.01 MB] 2022-04-13 00:21:11 destination > 2022-04-13 00:21:11 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm5It...-Iqo0fT2v]: Finished uploading [Part number 18 containing 5.01 MB] 2022-04-13 00:21:11 destination > 2022-04-13 00:21:11 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm5It...-Iqo0fT2v]: Finished uploading [Part number 16 containing 5.01 MB] 2022-04-13 00:21:11 destination > 2022-04-13 00:21:11 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm5It...-Iqo0fT2v]: Finished uploading [Part number 17 containing 5.01 MB] 2022-04-13 00:21:12 destination > 2022-04-13 00:21:12 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm5It...-Iqo0fT2v]: Finished uploading [Part number 23 containing 5.01 MB] 2022-04-13 00:21:12 destination > 2022-04-13 00:21:12 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm5It...-Iqo0fT2v]: Finished uploading [Part number 15 containing 5.01 MB] 2022-04-13 00:21:12 destination > 2022-04-13 00:21:12 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm5It...-Iqo0fT2v]: Finished uploading [Part number 19 containing 5.01 MB] 2022-04-13 00:21:12 destination > 2022-04-13 00:21:12 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm5It...-Iqo0fT2v]: Finished uploading [Part number 20 containing 5.01 MB] 2022-04-13 00:21:12 destination > 2022-04-13 00:21:12 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm5It...-Iqo0fT2v]: Finished uploading [Part number 14 containing 5.01 MB] 2022-04-13 00:21:12 destination > 2022-04-13 00:21:12 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm5It...-Iqo0fT2v]: Finished uploading [Part number 22 containing 5.01 MB] 2022-04-13 00:21:12 destination > 2022-04-13 00:21:12 INFO a.m.s.MultiPartOutputStream(close):158 - Called close() on [MultipartOutputStream for parts 1 - 10000] 2022-04-13 00:21:12 destination > 2022-04-13 00:21:12 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm5It...-Iqo0fT2v]: Finished uploading [Part number 21 containing 5.01 MB] 2022-04-13 00:21:12 destination > 2022-04-13 00:21:12 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm5It...-Iqo0fT2v]: Finished uploading [Part number 25 containing 5.01 MB] 2022-04-13 00:21:12 destination > 2022-04-13 00:21:12 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm5It...-Iqo0fT2v]: Finished uploading [Part number 24 containing 5.01 MB] 2022-04-13 00:21:12 destination > 2022-04-13 00:21:12 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm5It...-Iqo0fT2v]: Finished uploading [Part number 26 containing 5.01 MB] 2022-04-13 00:21:12 destination > 2022-04-13 00:21:12 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm5It...-Iqo0fT2v]: Finished uploading [Part number 29 containing 5.01 MB] 2022-04-13 00:21:12 destination > 2022-04-13 00:21:12 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm5It...-Iqo0fT2v]: Finished uploading [Part number 32 containing 5.01 MB] 2022-04-13 00:21:12 destination > 2022-04-13 00:21:12 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm5It...-Iqo0fT2v]: Finished uploading [Part number 28 containing 5.01 MB] 2022-04-13 00:21:12 destination > 2022-04-13 00:21:12 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm5It...-Iqo0fT2v]: Finished uploading [Part number 30 containing 5.01 MB] 2022-04-13 00:21:12 destination > 2022-04-13 00:21:12 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm5It...-Iqo0fT2v]: Finished uploading [Part number 31 containing 5.01 MB] 2022-04-13 00:21:12 destination > 2022-04-13 00:21:12 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm5It...-Iqo0fT2v]: Finished uploading [Part number 34 containing 5.01 MB] 2022-04-13 00:21:12 destination > 2022-04-13 00:21:12 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm5It...-Iqo0fT2v]: Finished uploading [Part number 33 containing 5.01 MB] 2022-04-13 00:21:12 destination > 2022-04-13 00:21:12 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm5It...-Iqo0fT2v]: Finished uploading [Part number 36 containing 5.01 MB] 2022-04-13 00:21:12 destination > 2022-04-13 00:21:12 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm5It...-Iqo0fT2v]: Finished uploading [Part number 35 containing 5.01 MB] 2022-04-13 00:21:12 destination > 2022-04-13 00:21:12 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm5It...-Iqo0fT2v]: Finished uploading [Part number 27 containing 5.01 MB] 2022-04-13 00:21:12 destination > 2022-04-13 00:21:12 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm5It...-Iqo0fT2v]: Finished uploading [Part number 38 containing 5.01 MB] 2022-04-13 00:21:12 destination > 2022-04-13 00:21:12 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm5It...-Iqo0fT2v]: Finished uploading [Part number 37 containing 5.01 MB] 2022-04-13 00:21:12 destination > 2022-04-13 00:21:12 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm5It...-Iqo0fT2v]: Finished uploading [Part number 39 containing 9.73 MB] 2022-04-13 00:21:12 destination > 2022-04-13 00:21:12 INFO a.m.s.StreamTransferManager(complete):395 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm5It...-Iqo0fT2v]: Completed 2022-04-13 00:21:12 destination > 2022-04-13 00:21:12 INFO i.a.i.d.s.S3StorageOperations(loadDataIntoBucket):161 - Uploaded buffer file to storage: d781f5ba-0bd4-4f36-a2b2-d57e223ce31c12963843281238987110.avro -> product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro (filename: 5.avro) 2022-04-13 00:21:12 destination > 2022-04-13 00:21:12 INFO i.a.i.d.b.BigQueryWriteConfig(addStagedFile):53 - Added staged file: 5.avro 2022-04-13 00:21:12 destination > 2022-04-13 00:21:12 INFO i.a.i.d.r.FileBuffer(deleteFile):81 - Deleting tempFile data d781f5ba-0bd4-4f36-a2b2-d57e223ce31c12963843281238987110.avro 2022-04-13 00:21:12 destination > 2022-04-13 00:21:12 INFO i.a.i.d.r.SerializedBufferingStrategy(lambda$addRecord$0):55 - Starting a new buffer for stream engagements (current state: 317 MB in 8 buffers) 2022-04-13 00:21:12 destination > 2022-04-13 00:21:12 INFO i.a.i.d.g.u.GcsUtils(getDefaultAvroSchema):25 - Default schema. 2022-04-13 00:21:40 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5375000 (3 GB) 2022-04-13 00:21:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5376000 (3 GB) 2022-04-13 00:21:57 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5377000 (3 GB) 2022-04-13 00:22:04 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5378000 (3 GB) 2022-04-13 00:22:13 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5379000 (3 GB) 2022-04-13 00:22:22 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5380000 (3 GB) 2022-04-13 00:22:29 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5381000 (3 GB) 2022-04-13 00:22:38 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5382000 (3 GB) 2022-04-13 00:22:47 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5383000 (3 GB) 2022-04-13 00:22:54 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5384000 (3 GB) 2022-04-13 00:23:04 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5385000 (3 GB) 2022-04-13 00:23:12 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5386000 (3 GB) 2022-04-13 00:23:22 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5387000 (3 GB) 2022-04-13 00:23:30 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5388000 (3 GB) 2022-04-13 00:23:39 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5389000 (3 GB) 2022-04-13 00:23:46 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5390000 (3 GB) 2022-04-13 00:23:56 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5391000 (3 GB) 2022-04-13 00:24:05 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5392000 (3 GB) 2022-04-13 00:24:14 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5393000 (3 GB) 2022-04-13 00:24:24 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5394000 (3 GB) 2022-04-13 00:24:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5395000 (3 GB) 2022-04-13 00:24:42 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5396000 (3 GB) 2022-04-13 00:24:50 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5397000 (3 GB) 2022-04-13 00:24:56 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5398000 (3 GB) 2022-04-13 00:25:05 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5399000 (3 GB) 2022-04-13 00:25:14 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5400000 (3 GB) 2022-04-13 00:25:22 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5401000 (3 GB) 2022-04-13 00:25:29 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5402000 (3 GB) 2022-04-13 00:25:16 destination > 2022-04-13 00:25:16 INFO i.a.i.d.r.SerializedBufferingStrategy(flushWriter):82 - Flushing buffer of stream engagements (200 MB) 2022-04-13 00:25:16 destination > 2022-04-13 00:25:16 INFO i.a.i.d.b.BigQueryStagingConsumerFactory(lambda$flushBufferFunction$4):115 - Flushing buffer for stream engagements (200 MB) to staging 2022-04-13 00:25:16 destination > 2022-04-13 00:25:16 INFO i.a.i.d.r.BaseSerializedBuffer(flush):138 - Finished writing data to a90dd379-6a64-47af-bb95-4120746bf0d516134751746597920750.avro (200 MB) 2022-04-13 00:25:16 destination > 2022-04-13 00:25:16 INFO i.a.i.d.b.BigQueryGcsOperations(uploadRecordsToStage):108 - Uploading records to staging for stream engagements (dataset hubspot_): product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-13 00:25:16 destination > 2022-04-13 00:25:16 INFO i.a.i.d.s.u.StreamTransferManagerHelper(getDefault):55 - PartSize arg is set to 5 MB 2022-04-13 00:25:16 destination > 2022-04-13 00:25:16 INFO a.m.s.StreamTransferManager(getMultiPartOutputStreams):329 - Initiated multipart upload to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro with full ID ABPnzm5laIohKcn5wcwQtbut7xhRBh1jBwUo7npCe4LkZ6A0gVlkZ5pDaq78NHgvfkAu72Gu 2022-04-13 00:25:17 destination > 2022-04-13 00:25:17 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro with id ABPnzm5la...vfkAu72Gu]: Finished uploading [Part number 1 containing 5.01 MB] 2022-04-13 00:25:17 destination > 2022-04-13 00:25:17 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro with id ABPnzm5la...vfkAu72Gu]: Finished uploading [Part number 3 containing 5.01 MB] 2022-04-13 00:25:17 destination > 2022-04-13 00:25:17 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro with id ABPnzm5la...vfkAu72Gu]: Finished uploading [Part number 4 containing 5.01 MB] 2022-04-13 00:25:17 destination > 2022-04-13 00:25:17 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro with id ABPnzm5la...vfkAu72Gu]: Finished uploading [Part number 2 containing 5.01 MB] 2022-04-13 00:25:17 destination > 2022-04-13 00:25:17 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro with id ABPnzm5la...vfkAu72Gu]: Finished uploading [Part number 7 containing 5.01 MB] 2022-04-13 00:25:17 destination > 2022-04-13 00:25:17 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro with id ABPnzm5la...vfkAu72Gu]: Finished uploading [Part number 5 containing 5.01 MB] 2022-04-13 00:25:17 destination > 2022-04-13 00:25:17 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro with id ABPnzm5la...vfkAu72Gu]: Finished uploading [Part number 8 containing 5.01 MB] 2022-04-13 00:25:17 destination > 2022-04-13 00:25:17 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro with id ABPnzm5la...vfkAu72Gu]: Finished uploading [Part number 6 containing 5.01 MB] 2022-04-13 00:25:17 destination > 2022-04-13 00:25:17 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro with id ABPnzm5la...vfkAu72Gu]: Finished uploading [Part number 10 containing 5.01 MB] 2022-04-13 00:25:17 destination > 2022-04-13 00:25:17 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro with id ABPnzm5la...vfkAu72Gu]: Finished uploading [Part number 9 containing 5.01 MB] 2022-04-13 00:25:17 destination > 2022-04-13 00:25:17 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro with id ABPnzm5la...vfkAu72Gu]: Finished uploading [Part number 14 containing 5.01 MB] 2022-04-13 00:25:17 destination > 2022-04-13 00:25:17 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro with id ABPnzm5la...vfkAu72Gu]: Finished uploading [Part number 12 containing 5.01 MB] 2022-04-13 00:25:17 destination > 2022-04-13 00:25:17 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro with id ABPnzm5la...vfkAu72Gu]: Finished uploading [Part number 13 containing 5.01 MB] 2022-04-13 00:25:17 destination > 2022-04-13 00:25:17 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro with id ABPnzm5la...vfkAu72Gu]: Finished uploading [Part number 11 containing 5.01 MB] 2022-04-13 00:25:17 destination > 2022-04-13 00:25:17 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro with id ABPnzm5la...vfkAu72Gu]: Finished uploading [Part number 15 containing 5.01 MB] 2022-04-13 00:25:17 destination > 2022-04-13 00:25:17 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro with id ABPnzm5la...vfkAu72Gu]: Finished uploading [Part number 17 containing 5.01 MB] 2022-04-13 00:25:17 destination > 2022-04-13 00:25:17 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro with id ABPnzm5la...vfkAu72Gu]: Finished uploading [Part number 19 containing 5.01 MB] 2022-04-13 00:25:17 destination > 2022-04-13 00:25:17 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro with id ABPnzm5la...vfkAu72Gu]: Finished uploading [Part number 16 containing 5.01 MB] 2022-04-13 00:25:17 destination > 2022-04-13 00:25:17 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro with id ABPnzm5la...vfkAu72Gu]: Finished uploading [Part number 18 containing 5.01 MB] 2022-04-13 00:25:17 destination > 2022-04-13 00:25:17 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro with id ABPnzm5la...vfkAu72Gu]: Finished uploading [Part number 20 containing 5.01 MB] 2022-04-13 00:25:17 destination > 2022-04-13 00:25:17 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro with id ABPnzm5la...vfkAu72Gu]: Finished uploading [Part number 23 containing 5.01 MB] 2022-04-13 00:25:17 destination > 2022-04-13 00:25:17 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro with id ABPnzm5la...vfkAu72Gu]: Finished uploading [Part number 24 containing 5.01 MB] 2022-04-13 00:25:17 destination > 2022-04-13 00:25:17 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro with id ABPnzm5la...vfkAu72Gu]: Finished uploading [Part number 22 containing 5.01 MB] 2022-04-13 00:25:17 destination > 2022-04-13 00:25:17 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro with id ABPnzm5la...vfkAu72Gu]: Finished uploading [Part number 21 containing 5.01 MB] 2022-04-13 00:25:17 destination > 2022-04-13 00:25:17 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro with id ABPnzm5la...vfkAu72Gu]: Finished uploading [Part number 28 containing 5.01 MB] 2022-04-13 00:25:17 destination > 2022-04-13 00:25:17 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro with id ABPnzm5la...vfkAu72Gu]: Finished uploading [Part number 27 containing 5.01 MB] 2022-04-13 00:25:17 destination > 2022-04-13 00:25:17 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro with id ABPnzm5la...vfkAu72Gu]: Finished uploading [Part number 30 containing 5.01 MB] 2022-04-13 00:25:17 destination > 2022-04-13 00:25:17 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro with id ABPnzm5la...vfkAu72Gu]: Finished uploading [Part number 25 containing 5.01 MB] 2022-04-13 00:25:17 destination > 2022-04-13 00:25:17 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro with id ABPnzm5la...vfkAu72Gu]: Finished uploading [Part number 26 containing 5.01 MB] 2022-04-13 00:25:17 destination > 2022-04-13 00:25:17 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro with id ABPnzm5la...vfkAu72Gu]: Finished uploading [Part number 29 containing 5.01 MB] 2022-04-13 00:25:17 destination > 2022-04-13 00:25:17 INFO a.m.s.MultiPartOutputStream(close):158 - Called close() on [MultipartOutputStream for parts 1 - 10000] 2022-04-13 00:25:17 destination > 2022-04-13 00:25:17 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro with id ABPnzm5la...vfkAu72Gu]: Finished uploading [Part number 32 containing 5.01 MB] 2022-04-13 00:25:17 destination > 2022-04-13 00:25:17 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro with id ABPnzm5la...vfkAu72Gu]: Finished uploading [Part number 34 containing 5.01 MB] 2022-04-13 00:25:17 destination > 2022-04-13 00:25:17 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro with id ABPnzm5la...vfkAu72Gu]: Finished uploading [Part number 31 containing 5.01 MB] 2022-04-13 00:25:17 destination > 2022-04-13 00:25:17 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro with id ABPnzm5la...vfkAu72Gu]: Finished uploading [Part number 36 containing 5.01 MB] 2022-04-13 00:25:17 destination > 2022-04-13 00:25:17 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro with id ABPnzm5la...vfkAu72Gu]: Finished uploading [Part number 33 containing 5.01 MB] 2022-04-13 00:25:17 destination > 2022-04-13 00:25:17 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro with id ABPnzm5la...vfkAu72Gu]: Finished uploading [Part number 38 containing 5.01 MB] 2022-04-13 00:25:17 destination > 2022-04-13 00:25:17 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro with id ABPnzm5la...vfkAu72Gu]: Finished uploading [Part number 35 containing 5.01 MB] 2022-04-13 00:25:17 destination > 2022-04-13 00:25:17 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro with id ABPnzm5la...vfkAu72Gu]: Finished uploading [Part number 37 containing 5.01 MB] 2022-04-13 00:25:17 destination > 2022-04-13 00:25:17 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro with id ABPnzm5la...vfkAu72Gu]: Finished uploading [Part number 39 containing 9.74 MB] 2022-04-13 00:25:19 destination > 2022-04-13 00:25:19 INFO a.m.s.StreamTransferManager(complete):395 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro with id ABPnzm5la...vfkAu72Gu]: Completed 2022-04-13 00:25:19 destination > 2022-04-13 00:25:19 INFO i.a.i.d.s.S3StorageOperations(loadDataIntoBucket):161 - Uploaded buffer file to storage: a90dd379-6a64-47af-bb95-4120746bf0d516134751746597920750.avro -> product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro (filename: 6.avro) 2022-04-13 00:25:19 destination > 2022-04-13 00:25:19 INFO i.a.i.d.b.BigQueryWriteConfig(addStagedFile):53 - Added staged file: 6.avro 2022-04-13 00:25:19 destination > 2022-04-13 00:25:19 INFO i.a.i.d.r.FileBuffer(deleteFile):81 - Deleting tempFile data a90dd379-6a64-47af-bb95-4120746bf0d516134751746597920750.avro 2022-04-13 00:25:19 destination > 2022-04-13 00:25:19 INFO i.a.i.d.r.SerializedBufferingStrategy(lambda$addRecord$0):55 - Starting a new buffer for stream engagements (current state: 317 MB in 8 buffers) 2022-04-13 00:25:19 destination > 2022-04-13 00:25:19 INFO i.a.i.d.g.u.GcsUtils(getDefaultAvroSchema):25 - Default schema. 2022-04-13 00:25:37 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5403000 (3 GB) 2022-04-13 00:25:45 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5404000 (3 GB) 2022-04-13 00:25:54 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5405000 (3 GB) 2022-04-13 00:26:02 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5406000 (3 GB) 2022-04-13 00:26:13 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5407000 (3 GB) 2022-04-13 00:26:22 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5408000 (3 GB) 2022-04-13 00:26:30 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5409000 (3 GB) 2022-04-13 00:26:39 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5410000 (3 GB) 2022-04-13 00:26:45 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5411000 (3 GB) 2022-04-13 00:26:53 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5412000 (3 GB) 2022-04-13 00:27:02 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5413000 (3 GB) 2022-04-13 00:27:10 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5414000 (3 GB) 2022-04-13 00:27:19 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5415000 (3 GB) 2022-04-13 00:27:28 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5416000 (3 GB) 2022-04-13 00:27:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5417000 (3 GB) 2022-04-13 00:27:45 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5418000 (3 GB) 2022-04-13 00:27:53 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5419000 (3 GB) 2022-04-13 00:28:01 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5420000 (3 GB) 2022-04-13 00:28:10 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5421000 (3 GB) 2022-04-13 00:28:20 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5422000 (3 GB) 2022-04-13 00:28:27 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5423000 (3 GB) 2022-04-13 00:28:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5424000 (3 GB) 2022-04-13 00:28:44 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5425000 (3 GB) 2022-04-13 00:28:52 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5426000 (3 GB) 2022-04-13 00:29:00 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5427000 (3 GB) 2022-04-13 00:29:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5428000 (3 GB) 2022-04-13 00:29:17 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5429000 (3 GB) 2022-04-13 00:29:26 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5430000 (3 GB) 2022-04-13 00:29:33 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5431000 (3 GB) 2022-04-13 00:29:33 destination > 2022-04-13 00:29:33 INFO i.a.i.d.r.SerializedBufferingStrategy(flushWriter):82 - Flushing buffer of stream engagements (200 MB) 2022-04-13 00:29:33 destination > 2022-04-13 00:29:33 INFO i.a.i.d.b.BigQueryStagingConsumerFactory(lambda$flushBufferFunction$4):115 - Flushing buffer for stream engagements (200 MB) to staging 2022-04-13 00:29:33 destination > 2022-04-13 00:29:33 INFO i.a.i.d.r.BaseSerializedBuffer(flush):138 - Finished writing data to 989a2a0a-da2a-4999-8268-80697014724116705347506477137288.avro (200 MB) 2022-04-13 00:29:33 destination > 2022-04-13 00:29:33 INFO i.a.i.d.b.BigQueryGcsOperations(uploadRecordsToStage):108 - Uploading records to staging for stream engagements (dataset hubspot_): product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-13 00:29:33 destination > 2022-04-13 00:29:33 INFO i.a.i.d.s.u.StreamTransferManagerHelper(getDefault):55 - PartSize arg is set to 5 MB 2022-04-13 00:29:33 destination > 2022-04-13 00:29:33 INFO a.m.s.StreamTransferManager(getMultiPartOutputStreams):329 - Initiated multipart upload to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/7.avro with full ID ABPnzm7oiEghRnCxBshy_r_mM-lbiIP0pnU6jYqB_ZMX78JY4Guvfm0lcsy6lGLG4UdVG5V3 2022-04-13 00:29:34 destination > 2022-04-13 00:29:34 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/7.avro with id ABPnzm7oi...G4UdVG5V3]: Finished uploading [Part number 1 containing 5.01 MB] 2022-04-13 00:29:34 destination > 2022-04-13 00:29:34 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/7.avro with id ABPnzm7oi...G4UdVG5V3]: Finished uploading [Part number 2 containing 5.01 MB] 2022-04-13 00:29:34 destination > 2022-04-13 00:29:34 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/7.avro with id ABPnzm7oi...G4UdVG5V3]: Finished uploading [Part number 4 containing 5.01 MB] 2022-04-13 00:29:34 destination > 2022-04-13 00:29:34 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/7.avro with id ABPnzm7oi...G4UdVG5V3]: Finished uploading [Part number 3 containing 5.01 MB] 2022-04-13 00:29:34 destination > 2022-04-13 00:29:34 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/7.avro with id ABPnzm7oi...G4UdVG5V3]: Finished uploading [Part number 5 containing 5.01 MB] 2022-04-13 00:29:34 destination > 2022-04-13 00:29:34 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/7.avro with id ABPnzm7oi...G4UdVG5V3]: Finished uploading [Part number 7 containing 5.01 MB] 2022-04-13 00:29:34 destination > 2022-04-13 00:29:34 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/7.avro with id ABPnzm7oi...G4UdVG5V3]: Finished uploading [Part number 6 containing 5.01 MB] 2022-04-13 00:29:34 destination > 2022-04-13 00:29:34 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/7.avro with id ABPnzm7oi...G4UdVG5V3]: Finished uploading [Part number 8 containing 5.01 MB] 2022-04-13 00:29:34 destination > 2022-04-13 00:29:34 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/7.avro with id ABPnzm7oi...G4UdVG5V3]: Finished uploading [Part number 11 containing 5.01 MB] 2022-04-13 00:29:34 destination > 2022-04-13 00:29:34 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/7.avro with id ABPnzm7oi...G4UdVG5V3]: Finished uploading [Part number 9 containing 5.01 MB] 2022-04-13 00:29:34 destination > 2022-04-13 00:29:34 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/7.avro with id ABPnzm7oi...G4UdVG5V3]: Finished uploading [Part number 12 containing 5.01 MB] 2022-04-13 00:29:34 destination > 2022-04-13 00:29:34 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/7.avro with id ABPnzm7oi...G4UdVG5V3]: Finished uploading [Part number 14 containing 5.01 MB] 2022-04-13 00:29:34 destination > 2022-04-13 00:29:34 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/7.avro with id ABPnzm7oi...G4UdVG5V3]: Finished uploading [Part number 15 containing 5.01 MB] 2022-04-13 00:29:34 destination > 2022-04-13 00:29:34 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/7.avro with id ABPnzm7oi...G4UdVG5V3]: Finished uploading [Part number 10 containing 5.01 MB] 2022-04-13 00:29:34 destination > 2022-04-13 00:29:34 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/7.avro with id ABPnzm7oi...G4UdVG5V3]: Finished uploading [Part number 17 containing 5.01 MB] 2022-04-13 00:29:34 destination > 2022-04-13 00:29:34 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/7.avro with id ABPnzm7oi...G4UdVG5V3]: Finished uploading [Part number 16 containing 5.01 MB] 2022-04-13 00:29:34 destination > 2022-04-13 00:29:34 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/7.avro with id ABPnzm7oi...G4UdVG5V3]: Finished uploading [Part number 13 containing 5.01 MB] 2022-04-13 00:29:34 destination > 2022-04-13 00:29:34 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/7.avro with id ABPnzm7oi...G4UdVG5V3]: Finished uploading [Part number 18 containing 5.01 MB] 2022-04-13 00:29:34 destination > 2022-04-13 00:29:34 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/7.avro with id ABPnzm7oi...G4UdVG5V3]: Finished uploading [Part number 20 containing 5.01 MB] 2022-04-13 00:29:34 destination > 2022-04-13 00:29:34 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/7.avro with id ABPnzm7oi...G4UdVG5V3]: Finished uploading [Part number 23 containing 5.01 MB] 2022-04-13 00:29:34 destination > 2022-04-13 00:29:34 INFO a.m.s.MultiPartOutputStream(close):158 - Called close() on [MultipartOutputStream for parts 1 - 10000] 2022-04-13 00:29:34 destination > 2022-04-13 00:29:34 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/7.avro with id ABPnzm7oi...G4UdVG5V3]: Finished uploading [Part number 24 containing 5.01 MB] 2022-04-13 00:29:34 destination > 2022-04-13 00:29:34 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/7.avro with id ABPnzm7oi...G4UdVG5V3]: Finished uploading [Part number 22 containing 5.01 MB] 2022-04-13 00:29:34 destination > 2022-04-13 00:29:34 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/7.avro with id ABPnzm7oi...G4UdVG5V3]: Finished uploading [Part number 21 containing 5.01 MB] 2022-04-13 00:29:34 destination > 2022-04-13 00:29:34 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/7.avro with id ABPnzm7oi...G4UdVG5V3]: Finished uploading [Part number 19 containing 5.01 MB] 2022-04-13 00:29:34 destination > 2022-04-13 00:29:34 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/7.avro with id ABPnzm7oi...G4UdVG5V3]: Finished uploading [Part number 26 containing 5.01 MB] 2022-04-13 00:29:34 destination > 2022-04-13 00:29:34 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/7.avro with id ABPnzm7oi...G4UdVG5V3]: Finished uploading [Part number 30 containing 5.01 MB] 2022-04-13 00:29:34 destination > 2022-04-13 00:29:34 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/7.avro with id ABPnzm7oi...G4UdVG5V3]: Finished uploading [Part number 27 containing 5.01 MB] 2022-04-13 00:29:34 destination > 2022-04-13 00:29:34 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/7.avro with id ABPnzm7oi...G4UdVG5V3]: Finished uploading [Part number 28 containing 5.01 MB] 2022-04-13 00:29:34 destination > 2022-04-13 00:29:34 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/7.avro with id ABPnzm7oi...G4UdVG5V3]: Finished uploading [Part number 33 containing 5.01 MB] 2022-04-13 00:29:34 destination > 2022-04-13 00:29:34 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/7.avro with id ABPnzm7oi...G4UdVG5V3]: Finished uploading [Part number 34 containing 5.01 MB] 2022-04-13 00:29:34 destination > 2022-04-13 00:29:34 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/7.avro with id ABPnzm7oi...G4UdVG5V3]: Finished uploading [Part number 32 containing 5.01 MB] 2022-04-13 00:29:34 destination > 2022-04-13 00:29:34 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/7.avro with id ABPnzm7oi...G4UdVG5V3]: Finished uploading [Part number 25 containing 5.01 MB] 2022-04-13 00:29:34 destination > 2022-04-13 00:29:34 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/7.avro with id ABPnzm7oi...G4UdVG5V3]: Finished uploading [Part number 31 containing 5.01 MB] 2022-04-13 00:29:34 destination > 2022-04-13 00:29:34 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/7.avro with id ABPnzm7oi...G4UdVG5V3]: Finished uploading [Part number 29 containing 5.01 MB] 2022-04-13 00:29:34 destination > 2022-04-13 00:29:34 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/7.avro with id ABPnzm7oi...G4UdVG5V3]: Finished uploading [Part number 36 containing 5.01 MB] 2022-04-13 00:29:34 destination > 2022-04-13 00:29:34 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/7.avro with id ABPnzm7oi...G4UdVG5V3]: Finished uploading [Part number 38 containing 5.01 MB] 2022-04-13 00:29:34 destination > 2022-04-13 00:29:34 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/7.avro with id ABPnzm7oi...G4UdVG5V3]: Finished uploading [Part number 35 containing 5.01 MB] 2022-04-13 00:29:34 destination > 2022-04-13 00:29:34 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/7.avro with id ABPnzm7oi...G4UdVG5V3]: Finished uploading [Part number 39 containing 9.77 MB] 2022-04-13 00:29:34 destination > 2022-04-13 00:29:34 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/7.avro with id ABPnzm7oi...G4UdVG5V3]: Finished uploading [Part number 37 containing 5.01 MB] 2022-04-13 00:29:35 destination > 2022-04-13 00:29:35 INFO a.m.s.StreamTransferManager(complete):395 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/7.avro with id ABPnzm7oi...G4UdVG5V3]: Completed 2022-04-13 00:29:35 destination > 2022-04-13 00:29:35 INFO i.a.i.d.s.S3StorageOperations(loadDataIntoBucket):161 - Uploaded buffer file to storage: 989a2a0a-da2a-4999-8268-80697014724116705347506477137288.avro -> product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/7.avro (filename: 7.avro) 2022-04-13 00:29:35 destination > 2022-04-13 00:29:35 INFO i.a.i.d.b.BigQueryWriteConfig(addStagedFile):53 - Added staged file: 7.avro 2022-04-13 00:29:35 destination > 2022-04-13 00:29:35 INFO i.a.i.d.r.FileBuffer(deleteFile):81 - Deleting tempFile data 989a2a0a-da2a-4999-8268-80697014724116705347506477137288.avro 2022-04-13 00:29:35 destination > 2022-04-13 00:29:35 INFO i.a.i.d.r.SerializedBufferingStrategy(lambda$addRecord$0):55 - Starting a new buffer for stream engagements (current state: 317 MB in 8 buffers) 2022-04-13 00:29:35 destination > 2022-04-13 00:29:35 INFO i.a.i.d.g.u.GcsUtils(getDefaultAvroSchema):25 - Default schema. 2022-04-13 00:29:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5432000 (3 GB) 2022-04-13 00:29:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5433000 (3 GB) 2022-04-13 00:29:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5434000 (3 GB) 2022-04-13 00:30:08 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5435000 (3 GB) 2022-04-13 00:30:16 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5436000 (3 GB) 2022-04-13 00:30:24 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5437000 (3 GB) 2022-04-13 00:30:33 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5438000 (3 GB) 2022-04-13 00:30:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5439000 (3 GB) 2022-04-13 00:30:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5440000 (3 GB) 2022-04-13 00:30:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5441000 (3 GB) 2022-04-13 00:31:08 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5442000 (3 GB) 2022-04-13 00:31:16 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5443000 (3 GB) 2022-04-13 00:31:25 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5444000 (3 GB) 2022-04-13 00:31:33 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5445000 (3 GB) 2022-04-13 00:31:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5446000 (3 GB) 2022-04-13 00:31:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5447000 (3 GB) 2022-04-13 00:31:57 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5448000 (3 GB) 2022-04-13 00:32:06 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5449000 (3 GB) 2022-04-13 00:32:15 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5450000 (3 GB) 2022-04-13 00:32:23 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5451000 (3 GB) 2022-04-13 00:32:31 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5452000 (3 GB) 2022-04-13 00:32:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5453000 (3 GB) 2022-04-13 00:32:50 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5454000 (3 GB) 2022-04-13 00:32:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5455000 (3 GB) 2022-04-13 00:33:07 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5456000 (3 GB) 2022-04-13 00:33:15 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5457000 (3 GB) 2022-04-13 00:33:24 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5458000 (3 GB) 2022-04-13 00:33:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5459000 (3 GB) 2022-04-13 00:33:40 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5460000 (3 GB) 2022-04-13 00:33:48 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5461000 (3 GB) 2022-04-13 00:33:56 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5462000 (3 GB) 2022-04-13 00:34:03 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5463000 (3 GB) 2022-04-13 00:34:11 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5464000 (3 GB) 2022-04-13 00:34:18 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5465000 (3 GB) 2022-04-13 00:34:25 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5466000 (3 GB) 2022-04-13 00:34:33 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5467000 (3 GB) 2022-04-13 00:34:40 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5468000 (3 GB) 2022-04-13 00:34:48 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5469000 (3 GB) 2022-04-13 00:34:56 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5470000 (3 GB) 2022-04-13 00:35:06 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5471000 (3 GB) 2022-04-13 00:35:13 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5472000 (4 GB) 2022-04-13 00:35:21 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5473000 (4 GB) 2022-04-13 00:35:28 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5474000 (4 GB) 2022-04-13 00:34:43 destination > 2022-04-13 00:34:43 INFO i.a.i.d.r.SerializedBufferingStrategy(flushWriter):82 - Flushing buffer of stream engagements (200 MB) 2022-04-13 00:34:43 destination > 2022-04-13 00:34:43 INFO i.a.i.d.b.BigQueryStagingConsumerFactory(lambda$flushBufferFunction$4):115 - Flushing buffer for stream engagements (200 MB) to staging 2022-04-13 00:34:43 destination > 2022-04-13 00:34:43 INFO i.a.i.d.r.BaseSerializedBuffer(flush):138 - Finished writing data to 01d8d67b-538d-4167-a30e-69cd6eef02e211849834778673273200.avro (200 MB) 2022-04-13 00:34:43 destination > 2022-04-13 00:34:43 INFO i.a.i.d.b.BigQueryGcsOperations(uploadRecordsToStage):108 - Uploading records to staging for stream engagements (dataset hubspot_): product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-13 00:34:43 destination > 2022-04-13 00:34:43 INFO i.a.i.d.s.u.StreamTransferManagerHelper(getDefault):55 - PartSize arg is set to 5 MB 2022-04-13 00:34:43 destination > 2022-04-13 00:34:43 INFO a.m.s.StreamTransferManager(getMultiPartOutputStreams):329 - Initiated multipart upload to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/8.avro with full ID ABPnzm4PUpB-pYKMYHDlSywxxkzE7nyy7nAcA92XK6yxxJlylPQMe-xP-Wnw76yc23IxDs_j 2022-04-13 00:34:44 destination > 2022-04-13 00:34:44 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/8.avro with id ABPnzm4PU...c23IxDs_j]: Finished uploading [Part number 1 containing 5.01 MB] 2022-04-13 00:34:44 destination > 2022-04-13 00:34:44 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/8.avro with id ABPnzm4PU...c23IxDs_j]: Finished uploading [Part number 3 containing 5.01 MB] 2022-04-13 00:34:44 destination > 2022-04-13 00:34:44 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/8.avro with id ABPnzm4PU...c23IxDs_j]: Finished uploading [Part number 2 containing 5.01 MB] 2022-04-13 00:34:44 destination > 2022-04-13 00:34:44 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/8.avro with id ABPnzm4PU...c23IxDs_j]: Finished uploading [Part number 4 containing 5.01 MB] 2022-04-13 00:34:44 destination > 2022-04-13 00:34:44 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/8.avro with id ABPnzm4PU...c23IxDs_j]: Finished uploading [Part number 7 containing 5.01 MB] 2022-04-13 00:34:44 destination > 2022-04-13 00:34:44 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/8.avro with id ABPnzm4PU...c23IxDs_j]: Finished uploading [Part number 5 containing 5.01 MB] 2022-04-13 00:34:44 destination > 2022-04-13 00:34:44 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/8.avro with id ABPnzm4PU...c23IxDs_j]: Finished uploading [Part number 9 containing 5.01 MB] 2022-04-13 00:34:44 destination > 2022-04-13 00:34:44 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/8.avro with id ABPnzm4PU...c23IxDs_j]: Finished uploading [Part number 12 containing 5.01 MB] 2022-04-13 00:34:44 destination > 2022-04-13 00:34:44 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/8.avro with id ABPnzm4PU...c23IxDs_j]: Finished uploading [Part number 11 containing 5.01 MB] 2022-04-13 00:34:44 destination > 2022-04-13 00:34:44 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/8.avro with id ABPnzm4PU...c23IxDs_j]: Finished uploading [Part number 13 containing 5.01 MB] 2022-04-13 00:34:44 destination > 2022-04-13 00:34:44 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/8.avro with id ABPnzm4PU...c23IxDs_j]: Finished uploading [Part number 6 containing 5.01 MB] 2022-04-13 00:34:44 destination > 2022-04-13 00:34:44 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/8.avro with id ABPnzm4PU...c23IxDs_j]: Finished uploading [Part number 10 containing 5.01 MB] 2022-04-13 00:34:44 destination > 2022-04-13 00:34:44 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/8.avro with id ABPnzm4PU...c23IxDs_j]: Finished uploading [Part number 8 containing 5.01 MB] 2022-04-13 00:34:44 destination > 2022-04-13 00:34:44 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/8.avro with id ABPnzm4PU...c23IxDs_j]: Finished uploading [Part number 15 containing 5.01 MB] 2022-04-13 00:34:44 destination > 2022-04-13 00:34:44 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/8.avro with id ABPnzm4PU...c23IxDs_j]: Finished uploading [Part number 14 containing 5.01 MB] 2022-04-13 00:34:44 destination > 2022-04-13 00:34:44 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/8.avro with id ABPnzm4PU...c23IxDs_j]: Finished uploading [Part number 18 containing 5.01 MB] 2022-04-13 00:34:44 destination > 2022-04-13 00:34:44 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/8.avro with id ABPnzm4PU...c23IxDs_j]: Finished uploading [Part number 17 containing 5.01 MB] 2022-04-13 00:34:44 destination > 2022-04-13 00:34:44 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/8.avro with id ABPnzm4PU...c23IxDs_j]: Finished uploading [Part number 22 containing 5.01 MB] 2022-04-13 00:34:44 destination > 2022-04-13 00:34:44 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/8.avro with id ABPnzm4PU...c23IxDs_j]: Finished uploading [Part number 19 containing 5.01 MB] 2022-04-13 00:34:44 destination > 2022-04-13 00:34:44 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/8.avro with id ABPnzm4PU...c23IxDs_j]: Finished uploading [Part number 24 containing 5.01 MB] 2022-04-13 00:34:44 destination > 2022-04-13 00:34:44 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/8.avro with id ABPnzm4PU...c23IxDs_j]: Finished uploading [Part number 16 containing 5.01 MB] 2022-04-13 00:34:44 destination > 2022-04-13 00:34:44 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/8.avro with id ABPnzm4PU...c23IxDs_j]: Finished uploading [Part number 21 containing 5.01 MB] 2022-04-13 00:34:44 destination > 2022-04-13 00:34:44 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/8.avro with id ABPnzm4PU...c23IxDs_j]: Finished uploading [Part number 23 containing 5.01 MB] 2022-04-13 00:34:44 destination > 2022-04-13 00:34:44 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/8.avro with id ABPnzm4PU...c23IxDs_j]: Finished uploading [Part number 20 containing 5.01 MB] 2022-04-13 00:34:44 destination > 2022-04-13 00:34:44 INFO a.m.s.MultiPartOutputStream(close):158 - Called close() on [MultipartOutputStream for parts 1 - 10000] 2022-04-13 00:34:44 destination > 2022-04-13 00:34:44 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/8.avro with id ABPnzm4PU...c23IxDs_j]: Finished uploading [Part number 28 containing 5.01 MB] 2022-04-13 00:34:44 destination > 2022-04-13 00:34:44 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/8.avro with id ABPnzm4PU...c23IxDs_j]: Finished uploading [Part number 32 containing 5.01 MB] 2022-04-13 00:34:44 destination > 2022-04-13 00:34:44 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/8.avro with id ABPnzm4PU...c23IxDs_j]: Finished uploading [Part number 25 containing 5.01 MB] 2022-04-13 00:34:44 destination > 2022-04-13 00:34:44 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/8.avro with id ABPnzm4PU...c23IxDs_j]: Finished uploading [Part number 29 containing 5.01 MB] 2022-04-13 00:34:44 destination > 2022-04-13 00:34:44 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/8.avro with id ABPnzm4PU...c23IxDs_j]: Finished uploading [Part number 33 containing 5.01 MB] 2022-04-13 00:34:44 destination > 2022-04-13 00:34:44 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/8.avro with id ABPnzm4PU...c23IxDs_j]: Finished uploading [Part number 27 containing 5.01 MB] 2022-04-13 00:34:44 destination > 2022-04-13 00:34:44 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/8.avro with id ABPnzm4PU...c23IxDs_j]: Finished uploading [Part number 30 containing 5.01 MB] 2022-04-13 00:34:44 destination > 2022-04-13 00:34:44 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/8.avro with id ABPnzm4PU...c23IxDs_j]: Finished uploading [Part number 26 containing 5.01 MB] 2022-04-13 00:34:44 destination > 2022-04-13 00:34:44 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/8.avro with id ABPnzm4PU...c23IxDs_j]: Finished uploading [Part number 31 containing 5.01 MB] 2022-04-13 00:34:44 destination > 2022-04-13 00:34:44 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/8.avro with id ABPnzm4PU...c23IxDs_j]: Finished uploading [Part number 37 containing 5.01 MB] 2022-04-13 00:34:44 destination > 2022-04-13 00:34:44 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/8.avro with id ABPnzm4PU...c23IxDs_j]: Finished uploading [Part number 35 containing 5.01 MB] 2022-04-13 00:34:44 destination > 2022-04-13 00:34:44 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/8.avro with id ABPnzm4PU...c23IxDs_j]: Finished uploading [Part number 34 containing 5.01 MB] 2022-04-13 00:34:44 destination > 2022-04-13 00:34:44 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/8.avro with id ABPnzm4PU...c23IxDs_j]: Finished uploading [Part number 38 containing 5.01 MB] 2022-04-13 00:34:44 destination > 2022-04-13 00:34:44 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/8.avro with id ABPnzm4PU...c23IxDs_j]: Finished uploading [Part number 39 containing 9.73 MB] 2022-04-13 00:34:44 destination > 2022-04-13 00:34:44 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/8.avro with id ABPnzm4PU...c23IxDs_j]: Finished uploading [Part number 36 containing 5.01 MB] 2022-04-13 00:34:45 destination > 2022-04-13 00:34:45 INFO a.m.s.StreamTransferManager(complete):395 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/8.avro with id ABPnzm4PU...c23IxDs_j]: Completed 2022-04-13 00:34:45 destination > 2022-04-13 00:34:45 INFO i.a.i.d.s.S3StorageOperations(loadDataIntoBucket):161 - Uploaded buffer file to storage: 01d8d67b-538d-4167-a30e-69cd6eef02e211849834778673273200.avro -> product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/8.avro (filename: 8.avro) 2022-04-13 00:34:45 destination > 2022-04-13 00:34:45 INFO i.a.i.d.b.BigQueryWriteConfig(addStagedFile):53 - Added staged file: 8.avro 2022-04-13 00:34:45 destination > 2022-04-13 00:34:45 INFO i.a.i.d.r.FileBuffer(deleteFile):81 - Deleting tempFile data 01d8d67b-538d-4167-a30e-69cd6eef02e211849834778673273200.avro 2022-04-13 00:34:45 destination > 2022-04-13 00:34:45 INFO i.a.i.d.r.SerializedBufferingStrategy(lambda$addRecord$0):55 - Starting a new buffer for stream engagements (current state: 317 MB in 8 buffers) 2022-04-13 00:34:45 destination > 2022-04-13 00:34:45 INFO i.a.i.d.g.u.GcsUtils(getDefaultAvroSchema):25 - Default schema. 2022-04-13 00:35:35 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5475000 (4 GB) 2022-04-13 00:35:42 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5476000 (4 GB) 2022-04-13 00:35:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5477000 (4 GB) 2022-04-13 00:35:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5478000 (4 GB) 2022-04-13 00:36:07 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5479000 (4 GB) 2022-04-13 00:36:16 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5480000 (4 GB) 2022-04-13 00:36:24 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5481000 (4 GB) 2022-04-13 00:36:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5482000 (4 GB) 2022-04-13 00:36:39 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5483000 (4 GB) 2022-04-13 00:36:46 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5484000 (4 GB) 2022-04-13 00:36:53 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5485000 (4 GB) 2022-04-13 00:37:00 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5486000 (4 GB) 2022-04-13 00:37:08 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5487000 (4 GB) 2022-04-13 00:37:17 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5488000 (4 GB) 2022-04-13 00:37:25 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5489000 (4 GB) 2022-04-13 00:37:33 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5490000 (4 GB) 2022-04-13 00:37:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5491000 (4 GB) 2022-04-13 00:37:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5492000 (4 GB) 2022-04-13 00:37:56 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5493000 (4 GB) 2022-04-13 00:38:03 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5494000 (4 GB) 2022-04-13 00:38:12 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5495000 (4 GB) 2022-04-13 00:38:18 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5496000 (4 GB) 2022-04-13 00:38:26 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5497000 (4 GB) 2022-04-13 00:38:34 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5498000 (4 GB) 2022-04-13 00:38:42 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5499000 (4 GB) 2022-04-13 00:38:50 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5500000 (4 GB) 2022-04-13 00:38:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5501000 (4 GB) 2022-04-13 00:39:07 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5502000 (4 GB) 2022-04-13 00:39:15 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5503000 (4 GB) 2022-04-13 00:39:23 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5504000 (4 GB) 2022-04-13 00:39:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5505000 (4 GB) 2022-04-13 00:39:19 destination > 2022-04-13 00:39:19 INFO i.a.i.d.r.SerializedBufferingStrategy(flushWriter):82 - Flushing buffer of stream engagements (200 MB) 2022-04-13 00:39:19 destination > 2022-04-13 00:39:19 INFO i.a.i.d.b.BigQueryStagingConsumerFactory(lambda$flushBufferFunction$4):115 - Flushing buffer for stream engagements (200 MB) to staging 2022-04-13 00:39:19 destination > 2022-04-13 00:39:19 INFO i.a.i.d.r.BaseSerializedBuffer(flush):138 - Finished writing data to 09f29cc0-c9ec-4de8-9f45-0032f04b843e587496401034690676.avro (200 MB) 2022-04-13 00:39:19 destination > 2022-04-13 00:39:19 INFO i.a.i.d.b.BigQueryGcsOperations(uploadRecordsToStage):108 - Uploading records to staging for stream engagements (dataset hubspot_): product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-13 00:39:19 destination > 2022-04-13 00:39:19 INFO i.a.i.d.s.u.StreamTransferManagerHelper(getDefault):55 - PartSize arg is set to 5 MB 2022-04-13 00:39:19 destination > 2022-04-13 00:39:19 INFO a.m.s.StreamTransferManager(getMultiPartOutputStreams):329 - Initiated multipart upload to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/9.avro with full ID ABPnzm68qvIkznOpXOcLkaObPvBx053-goZZnQA9dItica24nsQLPzg7S1aQczuUIGNapgTI 2022-04-13 00:39:20 destination > 2022-04-13 00:39:20 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/9.avro with id ABPnzm68q...UIGNapgTI]: Finished uploading [Part number 1 containing 5.01 MB] 2022-04-13 00:39:20 destination > 2022-04-13 00:39:20 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/9.avro with id ABPnzm68q...UIGNapgTI]: Finished uploading [Part number 3 containing 5.01 MB] 2022-04-13 00:39:20 destination > 2022-04-13 00:39:20 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/9.avro with id ABPnzm68q...UIGNapgTI]: Finished uploading [Part number 4 containing 5.01 MB] 2022-04-13 00:39:20 destination > 2022-04-13 00:39:20 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/9.avro with id ABPnzm68q...UIGNapgTI]: Finished uploading [Part number 2 containing 5.01 MB] 2022-04-13 00:39:20 destination > 2022-04-13 00:39:20 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/9.avro with id ABPnzm68q...UIGNapgTI]: Finished uploading [Part number 6 containing 5.01 MB] 2022-04-13 00:39:20 destination > 2022-04-13 00:39:20 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/9.avro with id ABPnzm68q...UIGNapgTI]: Finished uploading [Part number 5 containing 5.01 MB] 2022-04-13 00:39:20 destination > 2022-04-13 00:39:20 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/9.avro with id ABPnzm68q...UIGNapgTI]: Finished uploading [Part number 9 containing 5.01 MB] 2022-04-13 00:39:20 destination > 2022-04-13 00:39:20 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/9.avro with id ABPnzm68q...UIGNapgTI]: Finished uploading [Part number 7 containing 5.01 MB] 2022-04-13 00:39:20 destination > 2022-04-13 00:39:20 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/9.avro with id ABPnzm68q...UIGNapgTI]: Finished uploading [Part number 8 containing 5.01 MB] 2022-04-13 00:39:20 destination > 2022-04-13 00:39:20 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/9.avro with id ABPnzm68q...UIGNapgTI]: Finished uploading [Part number 11 containing 5.01 MB] 2022-04-13 00:39:20 destination > 2022-04-13 00:39:20 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/9.avro with id ABPnzm68q...UIGNapgTI]: Finished uploading [Part number 10 containing 5.01 MB] 2022-04-13 00:39:20 destination > 2022-04-13 00:39:20 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/9.avro with id ABPnzm68q...UIGNapgTI]: Finished uploading [Part number 12 containing 5.01 MB] 2022-04-13 00:39:20 destination > 2022-04-13 00:39:20 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/9.avro with id ABPnzm68q...UIGNapgTI]: Finished uploading [Part number 13 containing 5.01 MB] 2022-04-13 00:39:20 destination > 2022-04-13 00:39:20 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/9.avro with id ABPnzm68q...UIGNapgTI]: Finished uploading [Part number 16 containing 5.01 MB] 2022-04-13 00:39:20 destination > 2022-04-13 00:39:20 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/9.avro with id ABPnzm68q...UIGNapgTI]: Finished uploading [Part number 17 containing 5.01 MB] 2022-04-13 00:39:20 destination > 2022-04-13 00:39:20 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/9.avro with id ABPnzm68q...UIGNapgTI]: Finished uploading [Part number 15 containing 5.01 MB] 2022-04-13 00:39:20 destination > 2022-04-13 00:39:20 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/9.avro with id ABPnzm68q...UIGNapgTI]: Finished uploading [Part number 14 containing 5.01 MB] 2022-04-13 00:39:20 destination > 2022-04-13 00:39:20 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/9.avro with id ABPnzm68q...UIGNapgTI]: Finished uploading [Part number 20 containing 5.01 MB] 2022-04-13 00:39:20 destination > 2022-04-13 00:39:20 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/9.avro with id ABPnzm68q...UIGNapgTI]: Finished uploading [Part number 18 containing 5.01 MB] 2022-04-13 00:39:20 destination > 2022-04-13 00:39:20 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/9.avro with id ABPnzm68q...UIGNapgTI]: Finished uploading [Part number 19 containing 5.01 MB] 2022-04-13 00:39:20 destination > 2022-04-13 00:39:20 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/9.avro with id ABPnzm68q...UIGNapgTI]: Finished uploading [Part number 21 containing 5.01 MB] 2022-04-13 00:39:20 destination > 2022-04-13 00:39:20 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/9.avro with id ABPnzm68q...UIGNapgTI]: Finished uploading [Part number 22 containing 5.01 MB] 2022-04-13 00:39:20 destination > 2022-04-13 00:39:20 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/9.avro with id ABPnzm68q...UIGNapgTI]: Finished uploading [Part number 23 containing 5.01 MB] 2022-04-13 00:39:20 destination > 2022-04-13 00:39:20 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/9.avro with id ABPnzm68q...UIGNapgTI]: Finished uploading [Part number 24 containing 5.01 MB] 2022-04-13 00:39:20 destination > 2022-04-13 00:39:20 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/9.avro with id ABPnzm68q...UIGNapgTI]: Finished uploading [Part number 25 containing 5.01 MB] 2022-04-13 00:39:20 destination > 2022-04-13 00:39:20 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/9.avro with id ABPnzm68q...UIGNapgTI]: Finished uploading [Part number 29 containing 5.01 MB] 2022-04-13 00:39:20 destination > 2022-04-13 00:39:20 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/9.avro with id ABPnzm68q...UIGNapgTI]: Finished uploading [Part number 28 containing 5.01 MB] 2022-04-13 00:39:20 destination > 2022-04-13 00:39:20 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/9.avro with id ABPnzm68q...UIGNapgTI]: Finished uploading [Part number 27 containing 5.01 MB] 2022-04-13 00:39:20 destination > 2022-04-13 00:39:20 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/9.avro with id ABPnzm68q...UIGNapgTI]: Finished uploading [Part number 31 containing 5.01 MB] 2022-04-13 00:39:20 destination > 2022-04-13 00:39:20 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/9.avro with id ABPnzm68q...UIGNapgTI]: Finished uploading [Part number 26 containing 5.01 MB] 2022-04-13 00:39:20 destination > 2022-04-13 00:39:20 INFO a.m.s.MultiPartOutputStream(close):158 - Called close() on [MultipartOutputStream for parts 1 - 10000] 2022-04-13 00:39:20 destination > 2022-04-13 00:39:20 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/9.avro with id ABPnzm68q...UIGNapgTI]: Finished uploading [Part number 30 containing 5.01 MB] 2022-04-13 00:39:20 destination > 2022-04-13 00:39:20 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/9.avro with id ABPnzm68q...UIGNapgTI]: Finished uploading [Part number 32 containing 5.01 MB] 2022-04-13 00:39:20 destination > 2022-04-13 00:39:20 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/9.avro with id ABPnzm68q...UIGNapgTI]: Finished uploading [Part number 33 containing 5.01 MB] 2022-04-13 00:39:20 destination > 2022-04-13 00:39:20 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/9.avro with id ABPnzm68q...UIGNapgTI]: Finished uploading [Part number 35 containing 5.01 MB] 2022-04-13 00:39:20 destination > 2022-04-13 00:39:20 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/9.avro with id ABPnzm68q...UIGNapgTI]: Finished uploading [Part number 36 containing 5.01 MB] 2022-04-13 00:39:20 destination > 2022-04-13 00:39:20 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/9.avro with id ABPnzm68q...UIGNapgTI]: Finished uploading [Part number 34 containing 5.01 MB] 2022-04-13 00:39:20 destination > 2022-04-13 00:39:20 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/9.avro with id ABPnzm68q...UIGNapgTI]: Finished uploading [Part number 38 containing 5.01 MB] 2022-04-13 00:39:20 destination > 2022-04-13 00:39:20 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/9.avro with id ABPnzm68q...UIGNapgTI]: Finished uploading [Part number 39 containing 9.72 MB] 2022-04-13 00:39:20 destination > 2022-04-13 00:39:20 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/9.avro with id ABPnzm68q...UIGNapgTI]: Finished uploading [Part number 37 containing 5.01 MB] 2022-04-13 00:39:20 destination > 2022-04-13 00:39:20 INFO a.m.s.StreamTransferManager(complete):395 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/9.avro with id ABPnzm68q...UIGNapgTI]: Completed 2022-04-13 00:39:20 destination > 2022-04-13 00:39:20 INFO i.a.i.d.s.S3StorageOperations(loadDataIntoBucket):161 - Uploaded buffer file to storage: 09f29cc0-c9ec-4de8-9f45-0032f04b843e587496401034690676.avro -> product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/9.avro (filename: 9.avro) 2022-04-13 00:39:20 destination > 2022-04-13 00:39:20 INFO i.a.i.d.b.BigQueryWriteConfig(addStagedFile):53 - Added staged file: 9.avro 2022-04-13 00:39:20 destination > 2022-04-13 00:39:20 INFO i.a.i.d.r.FileBuffer(deleteFile):81 - Deleting tempFile data 09f29cc0-c9ec-4de8-9f45-0032f04b843e587496401034690676.avro 2022-04-13 00:39:20 destination > 2022-04-13 00:39:20 INFO i.a.i.d.r.SerializedBufferingStrategy(lambda$addRecord$0):55 - Starting a new buffer for stream engagements (current state: 317 MB in 8 buffers) 2022-04-13 00:39:20 destination > 2022-04-13 00:39:20 INFO i.a.i.d.g.u.GcsUtils(getDefaultAvroSchema):25 - Default schema. 2022-04-13 00:39:40 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5506000 (4 GB) 2022-04-13 00:39:47 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5507000 (4 GB) 2022-04-13 00:39:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5508000 (4 GB) 2022-04-13 00:40:05 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5509000 (4 GB) 2022-04-13 00:40:13 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5510000 (4 GB) 2022-04-13 00:40:21 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5511000 (4 GB) 2022-04-13 00:40:30 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5512000 (4 GB) 2022-04-13 00:40:38 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5513000 (4 GB) 2022-04-13 00:40:46 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5514000 (4 GB) 2022-04-13 00:40:54 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5515000 (4 GB) 2022-04-13 00:41:01 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5516000 (4 GB) 2022-04-13 00:41:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5517000 (4 GB) 2022-04-13 00:41:17 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5518000 (4 GB) 2022-04-13 00:41:26 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5519000 (4 GB) 2022-04-13 00:41:35 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5520000 (4 GB) 2022-04-13 00:41:42 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5521000 (4 GB) 2022-04-13 00:41:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5522000 (4 GB) 2022-04-13 00:41:57 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5523000 (4 GB) 2022-04-13 00:42:05 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5524000 (4 GB) 2022-04-13 00:42:15 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5525000 (4 GB) 2022-04-13 00:42:24 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5526000 (4 GB) 2022-04-13 00:42:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5527000 (4 GB) 2022-04-13 00:42:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5528000 (4 GB) 2022-04-13 00:42:48 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5529000 (4 GB) 2022-04-13 00:42:56 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5530000 (4 GB) 2022-04-13 00:43:03 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5531000 (4 GB) 2022-04-13 00:43:10 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5532000 (4 GB) 2022-04-13 00:43:17 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5533000 (4 GB) 2022-04-13 00:43:26 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5534000 (4 GB) 2022-04-13 00:43:33 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5535000 (4 GB) 2022-04-13 00:43:42 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5536000 (4 GB) 2022-04-13 00:43:51 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5537000 (4 GB) 2022-04-13 00:43:59 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5538000 (4 GB) 2022-04-13 00:44:08 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5539000 (4 GB) 2022-04-13 00:44:15 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5540000 (4 GB) 2022-04-13 00:44:22 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5541000 (4 GB) 2022-04-13 00:44:31 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5542000 (4 GB) 2022-04-13 00:43:57 destination > 2022-04-13 00:43:57 INFO i.a.i.d.r.SerializedBufferingStrategy(flushWriter):82 - Flushing buffer of stream engagements (200 MB) 2022-04-13 00:43:57 destination > 2022-04-13 00:43:57 INFO i.a.i.d.b.BigQueryStagingConsumerFactory(lambda$flushBufferFunction$4):115 - Flushing buffer for stream engagements (200 MB) to staging 2022-04-13 00:43:57 destination > 2022-04-13 00:43:57 INFO i.a.i.d.r.BaseSerializedBuffer(flush):138 - Finished writing data to eabc8d00-821d-4b17-9927-bf974b7854926260282655398553809.avro (200 MB) 2022-04-13 00:43:57 destination > 2022-04-13 00:43:57 INFO i.a.i.d.b.BigQueryGcsOperations(uploadRecordsToStage):108 - Uploading records to staging for stream engagements (dataset hubspot_): product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-13 00:43:57 destination > 2022-04-13 00:43:57 INFO i.a.i.d.s.u.StreamTransferManagerHelper(getDefault):55 - PartSize arg is set to 5 MB 2022-04-13 00:43:57 destination > 2022-04-13 00:43:57 INFO a.m.s.StreamTransferManager(getMultiPartOutputStreams):329 - Initiated multipart upload to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/10.avro with full ID ABPnzm5uqmD2CTboADgGvGLpCxQx4wyF2r58y90LglN4GET7f33H0tHGrcL3ryzet7gbj9HP 2022-04-13 00:43:58 destination > 2022-04-13 00:43:58 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/10.avro with id ABPnzm5uq...et7gbj9HP]: Finished uploading [Part number 1 containing 5.01 MB] 2022-04-13 00:43:58 destination > 2022-04-13 00:43:58 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/10.avro with id ABPnzm5uq...et7gbj9HP]: Finished uploading [Part number 2 containing 5.01 MB] 2022-04-13 00:43:58 destination > 2022-04-13 00:43:58 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/10.avro with id ABPnzm5uq...et7gbj9HP]: Finished uploading [Part number 4 containing 5.01 MB] 2022-04-13 00:43:58 destination > 2022-04-13 00:43:58 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/10.avro with id ABPnzm5uq...et7gbj9HP]: Finished uploading [Part number 5 containing 5.01 MB] 2022-04-13 00:43:58 destination > 2022-04-13 00:43:58 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/10.avro with id ABPnzm5uq...et7gbj9HP]: Finished uploading [Part number 3 containing 5.01 MB] 2022-04-13 00:43:58 destination > 2022-04-13 00:43:58 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/10.avro with id ABPnzm5uq...et7gbj9HP]: Finished uploading [Part number 7 containing 5.01 MB] 2022-04-13 00:43:58 destination > 2022-04-13 00:43:58 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/10.avro with id ABPnzm5uq...et7gbj9HP]: Finished uploading [Part number 6 containing 5.01 MB] 2022-04-13 00:43:58 destination > 2022-04-13 00:43:58 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/10.avro with id ABPnzm5uq...et7gbj9HP]: Finished uploading [Part number 8 containing 5.01 MB] 2022-04-13 00:43:58 destination > 2022-04-13 00:43:58 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/10.avro with id ABPnzm5uq...et7gbj9HP]: Finished uploading [Part number 9 containing 5.01 MB] 2022-04-13 00:43:58 destination > 2022-04-13 00:43:58 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/10.avro with id ABPnzm5uq...et7gbj9HP]: Finished uploading [Part number 10 containing 5.01 MB] 2022-04-13 00:43:58 destination > 2022-04-13 00:43:58 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/10.avro with id ABPnzm5uq...et7gbj9HP]: Finished uploading [Part number 11 containing 5.01 MB] 2022-04-13 00:43:58 destination > 2022-04-13 00:43:58 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/10.avro with id ABPnzm5uq...et7gbj9HP]: Finished uploading [Part number 12 containing 5.01 MB] 2022-04-13 00:43:58 destination > 2022-04-13 00:43:58 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/10.avro with id ABPnzm5uq...et7gbj9HP]: Finished uploading [Part number 14 containing 5.01 MB] 2022-04-13 00:43:58 destination > 2022-04-13 00:43:58 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/10.avro with id ABPnzm5uq...et7gbj9HP]: Finished uploading [Part number 13 containing 5.01 MB] 2022-04-13 00:43:58 destination > 2022-04-13 00:43:58 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/10.avro with id ABPnzm5uq...et7gbj9HP]: Finished uploading [Part number 16 containing 5.01 MB] 2022-04-13 00:43:58 destination > 2022-04-13 00:43:58 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/10.avro with id ABPnzm5uq...et7gbj9HP]: Finished uploading [Part number 17 containing 5.01 MB] 2022-04-13 00:43:58 destination > 2022-04-13 00:43:58 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/10.avro with id ABPnzm5uq...et7gbj9HP]: Finished uploading [Part number 15 containing 5.01 MB] 2022-04-13 00:43:58 destination > 2022-04-13 00:43:58 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/10.avro with id ABPnzm5uq...et7gbj9HP]: Finished uploading [Part number 19 containing 5.01 MB] 2022-04-13 00:43:58 destination > 2022-04-13 00:43:58 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/10.avro with id ABPnzm5uq...et7gbj9HP]: Finished uploading [Part number 18 containing 5.01 MB] 2022-04-13 00:43:58 destination > 2022-04-13 00:43:58 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/10.avro with id ABPnzm5uq...et7gbj9HP]: Finished uploading [Part number 21 containing 5.01 MB] 2022-04-13 00:43:58 destination > 2022-04-13 00:43:58 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/10.avro with id ABPnzm5uq...et7gbj9HP]: Finished uploading [Part number 20 containing 5.01 MB] 2022-04-13 00:43:58 destination > 2022-04-13 00:43:58 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/10.avro with id ABPnzm5uq...et7gbj9HP]: Finished uploading [Part number 22 containing 5.01 MB] 2022-04-13 00:43:58 destination > 2022-04-13 00:43:58 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/10.avro with id ABPnzm5uq...et7gbj9HP]: Finished uploading [Part number 23 containing 5.01 MB] 2022-04-13 00:43:58 destination > 2022-04-13 00:43:58 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/10.avro with id ABPnzm5uq...et7gbj9HP]: Finished uploading [Part number 24 containing 5.01 MB] 2022-04-13 00:43:58 destination > 2022-04-13 00:43:58 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/10.avro with id ABPnzm5uq...et7gbj9HP]: Finished uploading [Part number 25 containing 5.01 MB] 2022-04-13 00:43:58 destination > 2022-04-13 00:43:58 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/10.avro with id ABPnzm5uq...et7gbj9HP]: Finished uploading [Part number 27 containing 5.01 MB] 2022-04-13 00:43:58 destination > 2022-04-13 00:43:58 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/10.avro with id ABPnzm5uq...et7gbj9HP]: Finished uploading [Part number 26 containing 5.01 MB] 2022-04-13 00:43:58 destination > 2022-04-13 00:43:58 INFO a.m.s.MultiPartOutputStream(close):158 - Called close() on [MultipartOutputStream for parts 1 - 10000] 2022-04-13 00:43:58 destination > 2022-04-13 00:43:58 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/10.avro with id ABPnzm5uq...et7gbj9HP]: Finished uploading [Part number 28 containing 5.01 MB] 2022-04-13 00:43:58 destination > 2022-04-13 00:43:58 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/10.avro with id ABPnzm5uq...et7gbj9HP]: Finished uploading [Part number 31 containing 5.01 MB] 2022-04-13 00:43:58 destination > 2022-04-13 00:43:58 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/10.avro with id ABPnzm5uq...et7gbj9HP]: Finished uploading [Part number 32 containing 5.01 MB] 2022-04-13 00:43:58 destination > 2022-04-13 00:43:58 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/10.avro with id ABPnzm5uq...et7gbj9HP]: Finished uploading [Part number 29 containing 5.01 MB] 2022-04-13 00:43:58 destination > 2022-04-13 00:43:58 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/10.avro with id ABPnzm5uq...et7gbj9HP]: Finished uploading [Part number 30 containing 5.01 MB] 2022-04-13 00:43:58 destination > 2022-04-13 00:43:58 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/10.avro with id ABPnzm5uq...et7gbj9HP]: Finished uploading [Part number 33 containing 5.01 MB] 2022-04-13 00:43:58 destination > 2022-04-13 00:43:58 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/10.avro with id ABPnzm5uq...et7gbj9HP]: Finished uploading [Part number 35 containing 5.01 MB] 2022-04-13 00:43:58 destination > 2022-04-13 00:43:58 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/10.avro with id ABPnzm5uq...et7gbj9HP]: Finished uploading [Part number 38 containing 5.01 MB] 2022-04-13 00:43:58 destination > 2022-04-13 00:43:58 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/10.avro with id ABPnzm5uq...et7gbj9HP]: Finished uploading [Part number 34 containing 5.01 MB] 2022-04-13 00:43:58 destination > 2022-04-13 00:43:58 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/10.avro with id ABPnzm5uq...et7gbj9HP]: Finished uploading [Part number 37 containing 5.01 MB] 2022-04-13 00:43:58 destination > 2022-04-13 00:43:58 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/10.avro with id ABPnzm5uq...et7gbj9HP]: Finished uploading [Part number 36 containing 5.01 MB] 2022-04-13 00:43:58 destination > 2022-04-13 00:43:58 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/10.avro with id ABPnzm5uq...et7gbj9HP]: Finished uploading [Part number 39 containing 9.74 MB] 2022-04-13 00:43:58 destination > 2022-04-13 00:43:58 INFO a.m.s.StreamTransferManager(complete):395 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/10.avro with id ABPnzm5uq...et7gbj9HP]: Completed 2022-04-13 00:43:59 destination > 2022-04-13 00:43:59 INFO i.a.i.d.s.S3StorageOperations(loadDataIntoBucket):161 - Uploaded buffer file to storage: eabc8d00-821d-4b17-9927-bf974b7854926260282655398553809.avro -> product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/10.avro (filename: 10.avro) 2022-04-13 00:43:59 destination > 2022-04-13 00:43:59 INFO i.a.i.d.b.BigQueryWriteConfig(addStagedFile):53 - Added staged file: 10.avro 2022-04-13 00:43:59 destination > 2022-04-13 00:43:59 INFO i.a.i.d.r.FileBuffer(deleteFile):81 - Deleting tempFile data eabc8d00-821d-4b17-9927-bf974b7854926260282655398553809.avro 2022-04-13 00:43:59 destination > 2022-04-13 00:43:59 INFO i.a.i.d.r.SerializedBufferingStrategy(lambda$addRecord$0):55 - Starting a new buffer for stream engagements (current state: 317 MB in 8 buffers) 2022-04-13 00:43:59 destination > 2022-04-13 00:43:59 INFO i.a.i.d.g.u.GcsUtils(getDefaultAvroSchema):25 - Default schema. 2022-04-13 00:44:38 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5543000 (4 GB) 2022-04-13 00:44:45 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5544000 (4 GB) 2022-04-13 00:44:53 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5545000 (4 GB) 2022-04-13 00:45:00 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5546000 (4 GB) 2022-04-13 00:45:05 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5547000 (4 GB) 2022-04-13 00:45:11 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5548000 (4 GB) 2022-04-13 00:45:15 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5549000 (4 GB) 2022-04-13 00:45:21 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5550000 (4 GB) 2022-04-13 00:45:26 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5551000 (4 GB) 2022-04-13 00:45:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5552000 (4 GB) 2022-04-13 00:45:02 source > Advancing bookmark for engagements stream from None to 2022-04-13T00:23:50.087000+00:00 2022-04-13 00:45:02 source > Read 323661 records from engagements stream 2022-04-13 00:45:02 source > Finished syncing SourceHubspot 2022-04-13 00:45:02 source > SourceHubspot runtimes: 2022-04-13 00:45:02 source > Syncing stream: engagements_calls 2022-04-13 00:45:03 destination > 2022-04-13 00:45:03 INFO i.a.i.d.r.SerializedBufferingStrategy(lambda$addRecord$0):55 - Starting a new buffer for stream engagements_calls (current state: 372 MB in 9 buffers) 2022-04-13 00:45:03 destination > 2022-04-13 00:45:03 INFO i.a.i.d.g.u.GcsUtils(getDefaultAvroSchema):25 - Default schema. 2022-04-13 00:45:03 destination > 2022-04-13 00:45:03 INFO i.a.i.d.r.SerializedBufferingStrategy(flushAll):92 - Flushing all 10 current buffers (372 MB in total) 2022-04-13 00:45:03 destination > 2022-04-13 00:45:03 INFO i.a.i.d.r.SerializedBufferingStrategy(lambda$flushAll$2):95 - Flushing buffer of stream contacts (25 MB) 2022-04-13 00:45:03 destination > 2022-04-13 00:45:03 INFO i.a.i.d.b.BigQueryStagingConsumerFactory(lambda$flushBufferFunction$4):115 - Flushing buffer for stream contacts (25 MB) to staging 2022-04-13 00:45:03 destination > 2022-04-13 00:45:03 INFO i.a.i.d.r.BaseSerializedBuffer(flush):138 - Finished writing data to a696d327-6ccd-4929-a4f6-287550bf92549398635068370704737.avro (25 MB) 2022-04-13 00:45:03 destination > 2022-04-13 00:45:03 INFO i.a.i.d.b.BigQueryGcsOperations(uploadRecordsToStage):108 - Uploading records to staging for stream contacts (dataset hubspot_): product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-13 00:45:03 destination > 2022-04-13 00:45:03 INFO i.a.i.d.s.u.StreamTransferManagerHelper(getDefault):55 - PartSize arg is set to 5 MB 2022-04-13 00:45:03 destination > 2022-04-13 00:45:03 INFO a.m.s.StreamTransferManager(getMultiPartOutputStreams):329 - Initiated multipart upload to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro with full ID ABPnzm4Y6jxLvYb3lPzqbntDoKVvlYka3L0gm1nXemzlMNDc2U-usyVXIb_nvezQsx7DkjU_ 2022-04-13 00:45:03 destination > 2022-04-13 00:45:03 INFO a.m.s.MultiPartOutputStream(close):158 - Called close() on [MultipartOutputStream for parts 1 - 10000] 2022-04-13 00:45:03 destination > 2022-04-13 00:45:03 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro with id ABPnzm4Y6...Qsx7DkjU_]: Finished uploading [Part number 2 containing 5.01 MB] 2022-04-13 00:45:03 destination > 2022-04-13 00:45:03 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro with id ABPnzm4Y6...Qsx7DkjU_]: Finished uploading [Part number 1 containing 5.01 MB] 2022-04-13 00:45:03 destination > 2022-04-13 00:45:03 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro with id ABPnzm4Y6...Qsx7DkjU_]: Finished uploading [Part number 3 containing 5.01 MB] 2022-04-13 00:45:03 destination > 2022-04-13 00:45:03 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro with id ABPnzm4Y6...Qsx7DkjU_]: Finished uploading [Part number 4 containing 5.01 MB] 2022-04-13 00:45:03 destination > 2022-04-13 00:45:03 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro with id ABPnzm4Y6...Qsx7DkjU_]: Finished uploading [Part number 5 containing 5.66 MB] 2022-04-13 00:45:03 destination > 2022-04-13 00:45:03 INFO a.m.s.StreamTransferManager(complete):395 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro with id ABPnzm4Y6...Qsx7DkjU_]: Completed 2022-04-13 00:45:03 destination > 2022-04-13 00:45:03 INFO i.a.i.d.s.S3StorageOperations(loadDataIntoBucket):161 - Uploaded buffer file to storage: a696d327-6ccd-4929-a4f6-287550bf92549398635068370704737.avro -> product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro (filename: 6.avro) 2022-04-13 00:45:03 destination > 2022-04-13 00:45:03 INFO i.a.i.d.b.BigQueryWriteConfig(addStagedFile):53 - Added staged file: 6.avro 2022-04-13 00:45:03 destination > 2022-04-13 00:45:03 INFO i.a.i.d.r.FileBuffer(deleteFile):81 - Deleting tempFile data a696d327-6ccd-4929-a4f6-287550bf92549398635068370704737.avro 2022-04-13 00:45:03 destination > 2022-04-13 00:45:03 INFO i.a.i.d.r.SerializedBufferingStrategy(lambda$flushAll$2):95 - Flushing buffer of stream campaigns (322 bytes) 2022-04-13 00:45:03 destination > 2022-04-13 00:45:03 INFO i.a.i.d.b.BigQueryStagingConsumerFactory(lambda$flushBufferFunction$4):115 - Flushing buffer for stream campaigns (322 bytes) to staging 2022-04-13 00:45:03 destination > 2022-04-13 00:45:03 INFO i.a.i.d.r.BaseSerializedBuffer(flush):138 - Finished writing data to e740f916-a94b-4bc4-a680-60a5d1e86f9012966855512339164557.avro (21 KB) 2022-04-13 00:45:03 destination > 2022-04-13 00:45:03 INFO i.a.i.d.b.BigQueryGcsOperations(uploadRecordsToStage):108 - Uploading records to staging for stream campaigns (dataset hubspot_): product/hubspot__campaigns/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-13 00:45:03 destination > 2022-04-13 00:45:03 INFO i.a.i.d.s.u.StreamTransferManagerHelper(getDefault):55 - PartSize arg is set to 5 MB 2022-04-13 00:45:03 destination > 2022-04-13 00:45:03 INFO a.m.s.StreamTransferManager(getMultiPartOutputStreams):329 - Initiated multipart upload to mansagroup-airbyte-bigquery-buffer/product/hubspot__campaigns/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with full ID ABPnzm5QpDZzQTvAoh8XrtnPsC5E7K83_Ehr6efFeM6-wHvYJIu8NFd38pv3sCG8vHkpBbiq 2022-04-13 00:45:03 destination > 2022-04-13 00:45:03 INFO a.m.s.MultiPartOutputStream(close):158 - Called close() on [MultipartOutputStream for parts 1 - 10000] 2022-04-13 00:45:03 destination > 2022-04-13 00:45:03 INFO a.m.s.StreamTransferManager(complete):367 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__campaigns/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm5Qp...8vHkpBbiq]: Uploading leftover stream [Part number 1 containing 0.02 MB] 2022-04-13 00:45:04 destination > 2022-04-13 00:45:04 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__campaigns/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm5Qp...8vHkpBbiq]: Finished uploading [Part number 1 containing 0.02 MB] 2022-04-13 00:45:04 destination > 2022-04-13 00:45:04 INFO a.m.s.StreamTransferManager(complete):395 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__campaigns/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm5Qp...8vHkpBbiq]: Completed 2022-04-13 00:45:04 destination > 2022-04-13 00:45:04 INFO i.a.i.d.s.S3StorageOperations(loadDataIntoBucket):161 - Uploaded buffer file to storage: e740f916-a94b-4bc4-a680-60a5d1e86f9012966855512339164557.avro -> product/hubspot__campaigns/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro (filename: 1.avro) 2022-04-13 00:45:04 destination > 2022-04-13 00:45:04 INFO i.a.i.d.b.BigQueryWriteConfig(addStagedFile):53 - Added staged file: 1.avro 2022-04-13 00:45:04 destination > 2022-04-13 00:45:04 INFO i.a.i.d.r.FileBuffer(deleteFile):81 - Deleting tempFile data e740f916-a94b-4bc4-a680-60a5d1e86f9012966855512339164557.avro 2022-04-13 00:45:04 destination > 2022-04-13 00:45:04 INFO i.a.i.d.r.SerializedBufferingStrategy(lambda$flushAll$2):95 - Flushing buffer of stream contacts_list_memberships (125 KB) 2022-04-13 00:45:04 destination > 2022-04-13 00:45:04 INFO i.a.i.d.b.BigQueryStagingConsumerFactory(lambda$flushBufferFunction$4):115 - Flushing buffer for stream contacts_list_memberships (125 KB) to staging 2022-04-13 00:45:04 destination > 2022-04-13 00:45:04 INFO i.a.i.d.r.BaseSerializedBuffer(flush):138 - Finished writing data to ef0d6ea0-7809-44d9-8b6b-8c08231f610b17418020347214503896.avro (151 KB) 2022-04-13 00:45:04 destination > 2022-04-13 00:45:04 INFO i.a.i.d.b.BigQueryGcsOperations(uploadRecordsToStage):108 - Uploading records to staging for stream contacts_list_memberships (dataset hubspot_): product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-13 00:45:04 destination > 2022-04-13 00:45:04 INFO i.a.i.d.s.u.StreamTransferManagerHelper(getDefault):55 - PartSize arg is set to 5 MB 2022-04-13 00:45:04 destination > 2022-04-13 00:45:04 INFO a.m.s.StreamTransferManager(getMultiPartOutputStreams):329 - Initiated multipart upload to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with full ID ABPnzm4OLkuztCjmcMZiwoYLaemhEXcdXEFGlh4Rx7aGLZOjq5LThZZ2AinM083iUWeZx7Xx 2022-04-13 00:45:04 destination > 2022-04-13 00:45:04 INFO a.m.s.MultiPartOutputStream(close):158 - Called close() on [MultipartOutputStream for parts 1 - 10000] 2022-04-13 00:45:04 destination > 2022-04-13 00:45:04 INFO a.m.s.StreamTransferManager(complete):367 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm4OL...iUWeZx7Xx]: Uploading leftover stream [Part number 1 containing 0.15 MB] 2022-04-13 00:45:04 destination > 2022-04-13 00:45:04 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm4OL...iUWeZx7Xx]: Finished uploading [Part number 1 containing 0.15 MB] 2022-04-13 00:45:04 destination > 2022-04-13 00:45:04 INFO a.m.s.StreamTransferManager(complete):395 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm4OL...iUWeZx7Xx]: Completed 2022-04-13 00:45:04 destination > 2022-04-13 00:45:04 INFO i.a.i.d.s.S3StorageOperations(loadDataIntoBucket):161 - Uploaded buffer file to storage: ef0d6ea0-7809-44d9-8b6b-8c08231f610b17418020347214503896.avro -> product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro (filename: 5.avro) 2022-04-13 00:45:04 destination > 2022-04-13 00:45:04 INFO i.a.i.d.b.BigQueryWriteConfig(addStagedFile):53 - Added staged file: 5.avro 2022-04-13 00:45:04 destination > 2022-04-13 00:45:04 INFO i.a.i.d.r.FileBuffer(deleteFile):81 - Deleting tempFile data ef0d6ea0-7809-44d9-8b6b-8c08231f610b17418020347214503896.avro 2022-04-13 00:45:04 destination > 2022-04-13 00:45:04 INFO i.a.i.d.r.SerializedBufferingStrategy(lambda$flushAll$2):95 - Flushing buffer of stream companies (93 MB) 2022-04-13 00:45:04 destination > 2022-04-13 00:45:04 INFO i.a.i.d.b.BigQueryStagingConsumerFactory(lambda$flushBufferFunction$4):115 - Flushing buffer for stream companies (93 MB) to staging 2022-04-13 00:45:04 destination > 2022-04-13 00:45:04 INFO i.a.i.d.r.BaseSerializedBuffer(flush):138 - Finished writing data to 434850b0-72fa-4970-b434-d72cff431c022556624762830880551.avro (93 MB) 2022-04-13 00:45:04 destination > 2022-04-13 00:45:04 INFO i.a.i.d.b.BigQueryGcsOperations(uploadRecordsToStage):108 - Uploading records to staging for stream companies (dataset hubspot_): product/hubspot__companies/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-13 00:45:04 destination > 2022-04-13 00:45:04 INFO i.a.i.d.s.u.StreamTransferManagerHelper(getDefault):55 - PartSize arg is set to 5 MB 2022-04-13 00:45:04 destination > 2022-04-13 00:45:04 INFO a.m.s.StreamTransferManager(getMultiPartOutputStreams):329 - Initiated multipart upload to mansagroup-airbyte-bigquery-buffer/product/hubspot__companies/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with full ID ABPnzm454eED1CmhaOTfwUiAz_E2N8w0BwSk2aeYN0l7WikX6bjgDIlj3KlogPNmqUx77tvE 2022-04-13 00:45:04 destination > 2022-04-13 00:45:04 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__companies/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm454...mqUx77tvE]: Finished uploading [Part number 2 containing 5.01 MB] 2022-04-13 00:45:04 destination > 2022-04-13 00:45:04 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__companies/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm454...mqUx77tvE]: Finished uploading [Part number 3 containing 5.01 MB] 2022-04-13 00:45:04 destination > 2022-04-13 00:45:04 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__companies/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm454...mqUx77tvE]: Finished uploading [Part number 4 containing 5.01 MB] 2022-04-13 00:45:04 destination > 2022-04-13 00:45:04 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__companies/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm454...mqUx77tvE]: Finished uploading [Part number 5 containing 5.01 MB] 2022-04-13 00:45:04 destination > 2022-04-13 00:45:04 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__companies/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm454...mqUx77tvE]: Finished uploading [Part number 1 containing 5.01 MB] 2022-04-13 00:45:04 destination > 2022-04-13 00:45:04 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__companies/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm454...mqUx77tvE]: Finished uploading [Part number 6 containing 5.01 MB] 2022-04-13 00:45:04 destination > 2022-04-13 00:45:04 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__companies/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm454...mqUx77tvE]: Finished uploading [Part number 7 containing 5.01 MB] 2022-04-13 00:45:04 destination > 2022-04-13 00:45:04 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__companies/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm454...mqUx77tvE]: Finished uploading [Part number 8 containing 5.01 MB] 2022-04-13 00:45:04 destination > 2022-04-13 00:45:04 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__companies/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm454...mqUx77tvE]: Finished uploading [Part number 9 containing 5.01 MB] 2022-04-13 00:45:04 destination > 2022-04-13 00:45:04 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__companies/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm454...mqUx77tvE]: Finished uploading [Part number 10 containing 5.01 MB] 2022-04-13 00:45:04 destination > 2022-04-13 00:45:04 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__companies/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm454...mqUx77tvE]: Finished uploading [Part number 11 containing 5.01 MB] 2022-04-13 00:45:04 destination > 2022-04-13 00:45:04 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__companies/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm454...mqUx77tvE]: Finished uploading [Part number 12 containing 5.01 MB] 2022-04-13 00:45:05 destination > 2022-04-13 00:45:05 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__companies/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm454...mqUx77tvE]: Finished uploading [Part number 13 containing 5.01 MB] 2022-04-13 00:45:05 destination > 2022-04-13 00:45:05 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__companies/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm454...mqUx77tvE]: Finished uploading [Part number 14 containing 5.01 MB] 2022-04-13 00:45:05 destination > 2022-04-13 00:45:05 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__companies/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm454...mqUx77tvE]: Finished uploading [Part number 15 containing 5.01 MB] 2022-04-13 00:45:05 destination > 2022-04-13 00:45:05 INFO a.m.s.MultiPartOutputStream(close):158 - Called close() on [MultipartOutputStream for parts 1 - 10000] 2022-04-13 00:45:05 destination > 2022-04-13 00:45:05 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__companies/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm454...mqUx77tvE]: Finished uploading [Part number 16 containing 5.01 MB] 2022-04-13 00:45:05 destination > 2022-04-13 00:45:05 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__companies/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm454...mqUx77tvE]: Finished uploading [Part number 17 containing 5.01 MB] 2022-04-13 00:45:05 destination > 2022-04-13 00:45:05 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__companies/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm454...mqUx77tvE]: Finished uploading [Part number 18 containing 8.86 MB] 2022-04-13 00:45:05 destination > 2022-04-13 00:45:05 INFO a.m.s.StreamTransferManager(complete):395 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__companies/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm454...mqUx77tvE]: Completed 2022-04-13 00:45:05 destination > 2022-04-13 00:45:05 INFO i.a.i.d.s.S3StorageOperations(loadDataIntoBucket):161 - Uploaded buffer file to storage: 434850b0-72fa-4970-b434-d72cff431c022556624762830880551.avro -> product/hubspot__companies/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro (filename: 1.avro) 2022-04-13 00:45:05 destination > 2022-04-13 00:45:05 INFO i.a.i.d.b.BigQueryWriteConfig(addStagedFile):53 - Added staged file: 1.avro 2022-04-13 00:45:05 destination > 2022-04-13 00:45:05 INFO i.a.i.d.r.FileBuffer(deleteFile):81 - Deleting tempFile data 434850b0-72fa-4970-b434-d72cff431c022556624762830880551.avro 2022-04-13 00:45:05 destination > 2022-04-13 00:45:05 INFO i.a.i.d.r.SerializedBufferingStrategy(lambda$flushAll$2):95 - Flushing buffer of stream engagements (54 MB) 2022-04-13 00:45:05 destination > 2022-04-13 00:45:05 INFO i.a.i.d.b.BigQueryStagingConsumerFactory(lambda$flushBufferFunction$4):115 - Flushing buffer for stream engagements (54 MB) to staging 2022-04-13 00:45:05 destination > 2022-04-13 00:45:05 INFO i.a.i.d.r.BaseSerializedBuffer(flush):138 - Finished writing data to ea1de847-d5be-4531-9f99-beb79cc5d07a16719864161666621211.avro (54 MB) 2022-04-13 00:45:05 destination > 2022-04-13 00:45:05 INFO i.a.i.d.b.BigQueryGcsOperations(uploadRecordsToStage):108 - Uploading records to staging for stream engagements (dataset hubspot_): product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-13 00:45:05 destination > 2022-04-13 00:45:05 INFO i.a.i.d.s.u.StreamTransferManagerHelper(getDefault):55 - PartSize arg is set to 5 MB 2022-04-13 00:45:05 destination > 2022-04-13 00:45:05 INFO a.m.s.StreamTransferManager(getMultiPartOutputStreams):329 - Initiated multipart upload to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/11.avro with full ID ABPnzm4dxkLauwTellzO2ApZdZ1nSPeJXGlsbkwxZgQdm_Cizr4IihbamOMSsdAJDDOhqmcC 2022-04-13 00:45:05 destination > 2022-04-13 00:45:05 INFO a.m.s.MultiPartOutputStream(close):158 - Called close() on [MultipartOutputStream for parts 1 - 10000] 2022-04-13 00:45:05 destination > 2022-04-13 00:45:05 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/11.avro with id ABPnzm4dx...JDDOhqmcC]: Finished uploading [Part number 1 containing 5.01 MB] 2022-04-13 00:45:05 destination > 2022-04-13 00:45:05 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/11.avro with id ABPnzm4dx...JDDOhqmcC]: Finished uploading [Part number 2 containing 5.01 MB] 2022-04-13 00:45:05 destination > 2022-04-13 00:45:05 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/11.avro with id ABPnzm4dx...JDDOhqmcC]: Finished uploading [Part number 4 containing 5.01 MB] 2022-04-13 00:45:05 destination > 2022-04-13 00:45:05 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/11.avro with id ABPnzm4dx...JDDOhqmcC]: Finished uploading [Part number 5 containing 5.01 MB] 2022-04-13 00:45:05 destination > 2022-04-13 00:45:05 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/11.avro with id ABPnzm4dx...JDDOhqmcC]: Finished uploading [Part number 6 containing 5.01 MB] 2022-04-13 00:45:05 destination > 2022-04-13 00:45:05 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/11.avro with id ABPnzm4dx...JDDOhqmcC]: Finished uploading [Part number 3 containing 5.01 MB] 2022-04-13 00:45:05 destination > 2022-04-13 00:45:05 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/11.avro with id ABPnzm4dx...JDDOhqmcC]: Finished uploading [Part number 8 containing 5.01 MB] 2022-04-13 00:45:05 destination > 2022-04-13 00:45:05 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/11.avro with id ABPnzm4dx...JDDOhqmcC]: Finished uploading [Part number 7 containing 5.01 MB] 2022-04-13 00:45:05 destination > 2022-04-13 00:45:05 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/11.avro with id ABPnzm4dx...JDDOhqmcC]: Finished uploading [Part number 9 containing 5.01 MB] 2022-04-13 00:45:05 destination > 2022-04-13 00:45:05 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/11.avro with id ABPnzm4dx...JDDOhqmcC]: Finished uploading [Part number 10 containing 9.31 MB] 2022-04-13 00:45:05 destination > 2022-04-13 00:45:05 INFO a.m.s.StreamTransferManager(complete):395 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/11.avro with id ABPnzm4dx...JDDOhqmcC]: Completed 2022-04-13 00:45:05 destination > 2022-04-13 00:45:05 INFO i.a.i.d.s.S3StorageOperations(loadDataIntoBucket):161 - Uploaded buffer file to storage: ea1de847-d5be-4531-9f99-beb79cc5d07a16719864161666621211.avro -> product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/11.avro (filename: 11.avro) 2022-04-13 00:45:05 destination > 2022-04-13 00:45:05 INFO i.a.i.d.b.BigQueryWriteConfig(addStagedFile):53 - Added staged file: 11.avro 2022-04-13 00:45:05 destination > 2022-04-13 00:45:05 INFO i.a.i.d.r.FileBuffer(deleteFile):81 - Deleting tempFile data ea1de847-d5be-4531-9f99-beb79cc5d07a16719864161666621211.avro 2022-04-13 00:45:05 destination > 2022-04-13 00:45:05 INFO i.a.i.d.r.SerializedBufferingStrategy(lambda$flushAll$2):95 - Flushing buffer of stream email_events (114 MB) 2022-04-13 00:45:05 destination > 2022-04-13 00:45:05 INFO i.a.i.d.b.BigQueryStagingConsumerFactory(lambda$flushBufferFunction$4):115 - Flushing buffer for stream email_events (114 MB) to staging 2022-04-13 00:45:05 destination > 2022-04-13 00:45:05 INFO i.a.i.d.r.BaseSerializedBuffer(flush):138 - Finished writing data to 38f3e9ab-a2fa-408b-a654-80a4944cff8317615129904834467328.avro (114 MB) 2022-04-13 00:45:05 destination > 2022-04-13 00:45:05 INFO i.a.i.d.b.BigQueryGcsOperations(uploadRecordsToStage):108 - Uploading records to staging for stream email_events (dataset hubspot_): product/hubspot__email_events/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-13 00:45:05 destination > 2022-04-13 00:45:05 INFO i.a.i.d.s.u.StreamTransferManagerHelper(getDefault):55 - PartSize arg is set to 5 MB 2022-04-13 00:45:05 destination > 2022-04-13 00:45:05 INFO a.m.s.StreamTransferManager(getMultiPartOutputStreams):329 - Initiated multipart upload to mansagroup-airbyte-bigquery-buffer/product/hubspot__email_events/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with full ID ABPnzm7-fITriFcNxUXnqJlreEG9S8N42-TPx74mFkMPAoXUY1OsRZ9LPU_SNNYSfuz1jNXK 2022-04-13 00:45:06 destination > 2022-04-13 00:45:06 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__email_events/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm7-f...Sfuz1jNXK]: Finished uploading [Part number 1 containing 5.01 MB] 2022-04-13 00:45:06 destination > 2022-04-13 00:45:06 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__email_events/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm7-f...Sfuz1jNXK]: Finished uploading [Part number 3 containing 5.01 MB] 2022-04-13 00:45:06 destination > 2022-04-13 00:45:06 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__email_events/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm7-f...Sfuz1jNXK]: Finished uploading [Part number 2 containing 5.01 MB] 2022-04-13 00:45:06 destination > 2022-04-13 00:45:06 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__email_events/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm7-f...Sfuz1jNXK]: Finished uploading [Part number 4 containing 5.01 MB] 2022-04-13 00:45:06 destination > 2022-04-13 00:45:06 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__email_events/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm7-f...Sfuz1jNXK]: Finished uploading [Part number 5 containing 5.01 MB] 2022-04-13 00:45:06 destination > 2022-04-13 00:45:06 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__email_events/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm7-f...Sfuz1jNXK]: Finished uploading [Part number 6 containing 5.01 MB] 2022-04-13 00:45:06 destination > 2022-04-13 00:45:06 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__email_events/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm7-f...Sfuz1jNXK]: Finished uploading [Part number 7 containing 5.01 MB] 2022-04-13 00:45:06 destination > 2022-04-13 00:45:06 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__email_events/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm7-f...Sfuz1jNXK]: Finished uploading [Part number 8 containing 5.01 MB] 2022-04-13 00:45:06 destination > 2022-04-13 00:45:06 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__email_events/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm7-f...Sfuz1jNXK]: Finished uploading [Part number 9 containing 5.01 MB] 2022-04-13 00:45:06 destination > 2022-04-13 00:45:06 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__email_events/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm7-f...Sfuz1jNXK]: Finished uploading [Part number 10 containing 5.01 MB] 2022-04-13 00:45:06 destination > 2022-04-13 00:45:06 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__email_events/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm7-f...Sfuz1jNXK]: Finished uploading [Part number 11 containing 5.01 MB] 2022-04-13 00:45:06 destination > 2022-04-13 00:45:06 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__email_events/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm7-f...Sfuz1jNXK]: Finished uploading [Part number 12 containing 5.01 MB] 2022-04-13 00:45:06 destination > 2022-04-13 00:45:06 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__email_events/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm7-f...Sfuz1jNXK]: Finished uploading [Part number 14 containing 5.01 MB] 2022-04-13 00:45:06 destination > 2022-04-13 00:45:06 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__email_events/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm7-f...Sfuz1jNXK]: Finished uploading [Part number 15 containing 5.01 MB] 2022-04-13 00:45:06 destination > 2022-04-13 00:45:06 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__email_events/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm7-f...Sfuz1jNXK]: Finished uploading [Part number 13 containing 5.01 MB] 2022-04-13 00:45:06 destination > 2022-04-13 00:45:06 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__email_events/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm7-f...Sfuz1jNXK]: Finished uploading [Part number 16 containing 5.01 MB] 2022-04-13 00:45:06 destination > 2022-04-13 00:45:06 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__email_events/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm7-f...Sfuz1jNXK]: Finished uploading [Part number 17 containing 5.01 MB] 2022-04-13 00:45:06 destination > 2022-04-13 00:45:06 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__email_events/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm7-f...Sfuz1jNXK]: Finished uploading [Part number 18 containing 5.01 MB] 2022-04-13 00:45:06 destination > 2022-04-13 00:45:06 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__email_events/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm7-f...Sfuz1jNXK]: Finished uploading [Part number 19 containing 5.01 MB] 2022-04-13 00:45:06 destination > 2022-04-13 00:45:06 INFO a.m.s.MultiPartOutputStream(close):158 - Called close() on [MultipartOutputStream for parts 1 - 10000] 2022-04-13 00:45:06 destination > 2022-04-13 00:45:06 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__email_events/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm7-f...Sfuz1jNXK]: Finished uploading [Part number 20 containing 5.01 MB] 2022-04-13 00:45:06 destination > 2022-04-13 00:45:06 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__email_events/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm7-f...Sfuz1jNXK]: Finished uploading [Part number 21 containing 5.01 MB] 2022-04-13 00:45:06 destination > 2022-04-13 00:45:06 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__email_events/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm7-f...Sfuz1jNXK]: Finished uploading [Part number 22 containing 9.67 MB] 2022-04-13 00:45:07 destination > 2022-04-13 00:45:07 INFO a.m.s.StreamTransferManager(complete):395 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__email_events/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm7-f...Sfuz1jNXK]: Completed 2022-04-13 00:45:07 destination > 2022-04-13 00:45:07 INFO i.a.i.d.s.S3StorageOperations(loadDataIntoBucket):161 - Uploaded buffer file to storage: 38f3e9ab-a2fa-408b-a654-80a4944cff8317615129904834467328.avro -> product/hubspot__email_events/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro (filename: 1.avro) 2022-04-13 00:45:07 destination > 2022-04-13 00:45:07 INFO i.a.i.d.b.BigQueryWriteConfig(addStagedFile):53 - Added staged file: 1.avro 2022-04-13 00:45:07 destination > 2022-04-13 00:45:07 INFO i.a.i.d.r.FileBuffer(deleteFile):81 - Deleting tempFile data 38f3e9ab-a2fa-408b-a654-80a4944cff8317615129904834467328.avro 2022-04-13 00:45:07 destination > 2022-04-13 00:45:07 INFO i.a.i.d.r.SerializedBufferingStrategy(lambda$flushAll$2):95 - Flushing buffer of stream deals (83 MB) 2022-04-13 00:45:07 destination > 2022-04-13 00:45:07 INFO i.a.i.d.b.BigQueryStagingConsumerFactory(lambda$flushBufferFunction$4):115 - Flushing buffer for stream deals (83 MB) to staging 2022-04-13 00:45:07 destination > 2022-04-13 00:45:07 INFO i.a.i.d.r.BaseSerializedBuffer(flush):138 - Finished writing data to aa3e4093-270f-4e89-ae4d-85f720b55da610265815588322291849.avro (83 MB) 2022-04-13 00:45:07 destination > 2022-04-13 00:45:07 INFO i.a.i.d.b.BigQueryGcsOperations(uploadRecordsToStage):108 - Uploading records to staging for stream deals (dataset hubspot_): product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-13 00:45:07 destination > 2022-04-13 00:45:07 INFO i.a.i.d.s.u.StreamTransferManagerHelper(getDefault):55 - PartSize arg is set to 5 MB 2022-04-13 00:45:07 destination > 2022-04-13 00:45:07 INFO a.m.s.StreamTransferManager(getMultiPartOutputStreams):329 - Initiated multipart upload to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with full ID ABPnzm4Wn2AhTmHWB9rCsfOmtK4AJXCFeLImJacXjrwaCML8Sax_FQfqJj4zFnPXF3bUntAy 2022-04-13 00:45:07 destination > 2022-04-13 00:45:07 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm4Wn...XF3bUntAy]: Finished uploading [Part number 1 containing 5.01 MB] 2022-04-13 00:45:07 destination > 2022-04-13 00:45:07 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm4Wn...XF3bUntAy]: Finished uploading [Part number 2 containing 5.01 MB] 2022-04-13 00:45:07 destination > 2022-04-13 00:45:07 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm4Wn...XF3bUntAy]: Finished uploading [Part number 3 containing 5.01 MB] 2022-04-13 00:45:07 destination > 2022-04-13 00:45:07 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm4Wn...XF3bUntAy]: Finished uploading [Part number 4 containing 5.01 MB] 2022-04-13 00:45:07 destination > 2022-04-13 00:45:07 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm4Wn...XF3bUntAy]: Finished uploading [Part number 5 containing 5.01 MB] 2022-04-13 00:45:07 destination > 2022-04-13 00:45:07 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm4Wn...XF3bUntAy]: Finished uploading [Part number 6 containing 5.01 MB] 2022-04-13 00:45:07 destination > 2022-04-13 00:45:07 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm4Wn...XF3bUntAy]: Finished uploading [Part number 8 containing 5.01 MB] 2022-04-13 00:45:07 destination > 2022-04-13 00:45:07 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm4Wn...XF3bUntAy]: Finished uploading [Part number 7 containing 5.01 MB] 2022-04-13 00:45:07 destination > 2022-04-13 00:45:07 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm4Wn...XF3bUntAy]: Finished uploading [Part number 9 containing 5.01 MB] 2022-04-13 00:45:07 destination > 2022-04-13 00:45:07 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm4Wn...XF3bUntAy]: Finished uploading [Part number 10 containing 5.01 MB] 2022-04-13 00:45:07 destination > 2022-04-13 00:45:07 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm4Wn...XF3bUntAy]: Finished uploading [Part number 11 containing 5.01 MB] 2022-04-13 00:45:07 destination > 2022-04-13 00:45:07 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm4Wn...XF3bUntAy]: Finished uploading [Part number 12 containing 5.01 MB] 2022-04-13 00:45:07 destination > 2022-04-13 00:45:07 INFO a.m.s.MultiPartOutputStream(close):158 - Called close() on [MultipartOutputStream for parts 1 - 10000] 2022-04-13 00:45:07 destination > 2022-04-13 00:45:07 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm4Wn...XF3bUntAy]: Finished uploading [Part number 13 containing 5.01 MB] 2022-04-13 00:45:07 destination > 2022-04-13 00:45:07 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm4Wn...XF3bUntAy]: Finished uploading [Part number 14 containing 5.01 MB] 2022-04-13 00:45:07 destination > 2022-04-13 00:45:07 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm4Wn...XF3bUntAy]: Finished uploading [Part number 15 containing 5.01 MB] 2022-04-13 00:45:07 destination > 2022-04-13 00:45:07 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm4Wn...XF3bUntAy]: Finished uploading [Part number 16 containing 8.18 MB] 2022-04-13 00:45:07 destination > 2022-04-13 00:45:07 INFO a.m.s.StreamTransferManager(complete):395 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm4Wn...XF3bUntAy]: Completed 2022-04-13 00:45:07 destination > 2022-04-13 00:45:07 INFO i.a.i.d.s.S3StorageOperations(loadDataIntoBucket):161 - Uploaded buffer file to storage: aa3e4093-270f-4e89-ae4d-85f720b55da610265815588322291849.avro -> product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro (filename: 4.avro) 2022-04-13 00:45:07 destination > 2022-04-13 00:45:07 INFO i.a.i.d.b.BigQueryWriteConfig(addStagedFile):53 - Added staged file: 4.avro 2022-04-13 00:45:07 destination > 2022-04-13 00:45:07 INFO i.a.i.d.r.FileBuffer(deleteFile):81 - Deleting tempFile data aa3e4093-270f-4e89-ae4d-85f720b55da610265815588322291849.avro 2022-04-13 00:45:07 destination > 2022-04-13 00:45:07 INFO i.a.i.d.r.SerializedBufferingStrategy(lambda$flushAll$2):95 - Flushing buffer of stream engagements_calls (330 bytes) 2022-04-13 00:45:07 destination > 2022-04-13 00:45:07 INFO i.a.i.d.b.BigQueryStagingConsumerFactory(lambda$flushBufferFunction$4):115 - Flushing buffer for stream engagements_calls (330 bytes) to staging 2022-04-13 00:45:07 destination > 2022-04-13 00:45:07 INFO i.a.i.d.r.BaseSerializedBuffer(flush):138 - Finished writing data to edf058c3-d510-4b1b-bc47-1cf6aff45a98855987022706567902.avro (2 KB) 2022-04-13 00:45:07 destination > 2022-04-13 00:45:07 INFO i.a.i.d.b.BigQueryGcsOperations(uploadRecordsToStage):108 - Uploading records to staging for stream engagements_calls (dataset hubspot_): product/hubspot__engagements_calls/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-13 00:45:08 destination > 2022-04-13 00:45:08 INFO i.a.i.d.s.u.StreamTransferManagerHelper(getDefault):55 - PartSize arg is set to 5 MB 2022-04-13 00:45:08 destination > 2022-04-13 00:45:08 INFO a.m.s.StreamTransferManager(getMultiPartOutputStreams):329 - Initiated multipart upload to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_calls/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with full ID ABPnzm4Xr5Odne7ighFhmXC6F4lpyhaDsalVJ11HVm1P2TJ2IDaoqYRAB1DmSL4tbieucDUY 2022-04-13 00:45:08 destination > 2022-04-13 00:45:08 INFO a.m.s.MultiPartOutputStream(close):158 - Called close() on [MultipartOutputStream for parts 1 - 10000] 2022-04-13 00:45:08 destination > 2022-04-13 00:45:08 INFO a.m.s.StreamTransferManager(complete):367 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_calls/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm4Xr...tbieucDUY]: Uploading leftover stream [Part number 1 containing 0.00 MB] 2022-04-13 00:45:08 destination > 2022-04-13 00:45:08 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_calls/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm4Xr...tbieucDUY]: Finished uploading [Part number 1 containing 0.00 MB] 2022-04-13 00:45:08 destination > 2022-04-13 00:45:08 INFO a.m.s.StreamTransferManager(complete):395 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_calls/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm4Xr...tbieucDUY]: Completed 2022-04-13 00:45:08 destination > 2022-04-13 00:45:08 INFO i.a.i.d.s.S3StorageOperations(loadDataIntoBucket):161 - Uploaded buffer file to storage: edf058c3-d510-4b1b-bc47-1cf6aff45a98855987022706567902.avro -> product/hubspot__engagements_calls/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro (filename: 1.avro) 2022-04-13 00:45:08 destination > 2022-04-13 00:45:08 INFO i.a.i.d.b.BigQueryWriteConfig(addStagedFile):53 - Added staged file: 1.avro 2022-04-13 00:45:08 destination > 2022-04-13 00:45:08 INFO i.a.i.d.r.FileBuffer(deleteFile):81 - Deleting tempFile data edf058c3-d510-4b1b-bc47-1cf6aff45a98855987022706567902.avro 2022-04-13 00:45:08 destination > 2022-04-13 00:45:08 INFO i.a.i.d.r.SerializedBufferingStrategy(lambda$flushAll$2):95 - Flushing buffer of stream contact_lists (63 KB) 2022-04-13 00:45:08 destination > 2022-04-13 00:45:08 INFO i.a.i.d.b.BigQueryStagingConsumerFactory(lambda$flushBufferFunction$4):115 - Flushing buffer for stream contact_lists (63 KB) to staging 2022-04-13 00:45:08 destination > 2022-04-13 00:45:08 INFO i.a.i.d.r.BaseSerializedBuffer(flush):138 - Finished writing data to e22e574a-9268-4d61-901a-a092ed0a2edb7764027303946123416.avro (106 KB) 2022-04-13 00:45:08 destination > 2022-04-13 00:45:08 INFO i.a.i.d.b.BigQueryGcsOperations(uploadRecordsToStage):108 - Uploading records to staging for stream contact_lists (dataset hubspot_): product/hubspot__contact_lists/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-13 00:45:08 destination > 2022-04-13 00:45:08 INFO i.a.i.d.s.u.StreamTransferManagerHelper(getDefault):55 - PartSize arg is set to 5 MB 2022-04-13 00:45:08 destination > 2022-04-13 00:45:08 INFO a.m.s.StreamTransferManager(getMultiPartOutputStreams):329 - Initiated multipart upload to mansagroup-airbyte-bigquery-buffer/product/hubspot__contact_lists/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with full ID ABPnzm5W-FKYtrAOAWuLeyYr8_GIZHBuhYkCc5vQ88cPGPkjXFcKTT3x6dxkgeY8wPKBZzHB 2022-04-13 00:45:08 destination > 2022-04-13 00:45:08 INFO a.m.s.MultiPartOutputStream(close):158 - Called close() on [MultipartOutputStream for parts 1 - 10000] 2022-04-13 00:45:08 destination > 2022-04-13 00:45:08 INFO a.m.s.StreamTransferManager(complete):367 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contact_lists/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm5W-...8wPKBZzHB]: Uploading leftover stream [Part number 1 containing 0.10 MB] 2022-04-13 00:45:08 destination > 2022-04-13 00:45:08 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contact_lists/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm5W-...8wPKBZzHB]: Finished uploading [Part number 1 containing 0.10 MB] 2022-04-13 00:45:08 destination > 2022-04-13 00:45:08 INFO a.m.s.StreamTransferManager(complete):395 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__contact_lists/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm5W-...8wPKBZzHB]: Completed 2022-04-13 00:45:08 destination > 2022-04-13 00:45:08 INFO i.a.i.d.s.S3StorageOperations(loadDataIntoBucket):161 - Uploaded buffer file to storage: e22e574a-9268-4d61-901a-a092ed0a2edb7764027303946123416.avro -> product/hubspot__contact_lists/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro (filename: 1.avro) 2022-04-13 00:45:08 destination > 2022-04-13 00:45:08 INFO i.a.i.d.b.BigQueryWriteConfig(addStagedFile):53 - Added staged file: 1.avro 2022-04-13 00:45:08 destination > 2022-04-13 00:45:08 INFO i.a.i.d.r.FileBuffer(deleteFile):81 - Deleting tempFile data e22e574a-9268-4d61-901a-a092ed0a2edb7764027303946123416.avro 2022-04-13 00:45:08 destination > 2022-04-13 00:45:08 INFO i.a.i.d.r.SerializedBufferingStrategy(lambda$flushAll$2):95 - Flushing buffer of stream deal_pipelines (327 bytes) 2022-04-13 00:45:08 destination > 2022-04-13 00:45:08 INFO i.a.i.d.b.BigQueryStagingConsumerFactory(lambda$flushBufferFunction$4):115 - Flushing buffer for stream deal_pipelines (327 bytes) to staging 2022-04-13 00:45:08 destination > 2022-04-13 00:45:08 INFO i.a.i.d.r.BaseSerializedBuffer(flush):138 - Finished writing data to 7a2459d7-a409-40dd-ade5-653da7d4f4941349358922681100112.avro (5 KB) 2022-04-13 00:45:08 destination > 2022-04-13 00:45:08 INFO i.a.i.d.b.BigQueryGcsOperations(uploadRecordsToStage):108 - Uploading records to staging for stream deal_pipelines (dataset hubspot_): product/hubspot__deal_pipelines/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-13 00:45:08 destination > 2022-04-13 00:45:08 INFO i.a.i.d.s.u.StreamTransferManagerHelper(getDefault):55 - PartSize arg is set to 5 MB 2022-04-13 00:45:08 destination > 2022-04-13 00:45:08 INFO a.m.s.StreamTransferManager(getMultiPartOutputStreams):329 - Initiated multipart upload to mansagroup-airbyte-bigquery-buffer/product/hubspot__deal_pipelines/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with full ID ABPnzm4UrrKKdzVzp3TZjKKiDNB7gn6og0uaZAB_x9yYeRdpaYIPnDDREsbfwB7ItyL2IF9Z 2022-04-13 00:45:08 destination > 2022-04-13 00:45:08 INFO a.m.s.MultiPartOutputStream(close):158 - Called close() on [MultipartOutputStream for parts 1 - 10000] 2022-04-13 00:45:08 destination > 2022-04-13 00:45:08 INFO a.m.s.StreamTransferManager(complete):367 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deal_pipelines/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm4Ur...ItyL2IF9Z]: Uploading leftover stream [Part number 1 containing 0.00 MB] 2022-04-13 00:45:08 destination > 2022-04-13 00:45:08 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deal_pipelines/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm4Ur...ItyL2IF9Z]: Finished uploading [Part number 1 containing 0.00 MB] 2022-04-13 00:45:08 destination > 2022-04-13 00:45:08 INFO a.m.s.StreamTransferManager(complete):395 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__deal_pipelines/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm4Ur...ItyL2IF9Z]: Completed 2022-04-13 00:45:08 destination > 2022-04-13 00:45:08 INFO i.a.i.d.s.S3StorageOperations(loadDataIntoBucket):161 - Uploaded buffer file to storage: 7a2459d7-a409-40dd-ade5-653da7d4f4941349358922681100112.avro -> product/hubspot__deal_pipelines/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro (filename: 1.avro) 2022-04-13 00:45:08 destination > 2022-04-13 00:45:08 INFO i.a.i.d.b.BigQueryWriteConfig(addStagedFile):53 - Added staged file: 1.avro 2022-04-13 00:45:08 destination > 2022-04-13 00:45:08 INFO i.a.i.d.r.FileBuffer(deleteFile):81 - Deleting tempFile data 7a2459d7-a409-40dd-ade5-653da7d4f4941349358922681100112.avro 2022-04-13 00:45:08 destination > 2022-04-13 00:45:08 INFO i.a.i.d.r.SerializedBufferingStrategy(close):119 - Closing buffer for stream contacts 2022-04-13 00:45:08 destination > 2022-04-13 00:45:08 INFO i.a.i.d.r.SerializedBufferingStrategy(close):119 - Closing buffer for stream campaigns 2022-04-13 00:45:08 destination > 2022-04-13 00:45:08 INFO i.a.i.d.r.SerializedBufferingStrategy(close):119 - Closing buffer for stream contacts_list_memberships 2022-04-13 00:45:08 destination > 2022-04-13 00:45:08 INFO i.a.i.d.r.SerializedBufferingStrategy(close):119 - Closing buffer for stream companies 2022-04-13 00:45:08 destination > 2022-04-13 00:45:08 INFO i.a.i.d.r.SerializedBufferingStrategy(close):119 - Closing buffer for stream engagements 2022-04-13 00:45:08 destination > 2022-04-13 00:45:08 INFO i.a.i.d.r.SerializedBufferingStrategy(close):119 - Closing buffer for stream email_events 2022-04-13 00:45:08 destination > 2022-04-13 00:45:08 INFO i.a.i.d.r.SerializedBufferingStrategy(close):119 - Closing buffer for stream deals 2022-04-13 00:45:08 destination > 2022-04-13 00:45:08 INFO i.a.i.d.r.SerializedBufferingStrategy(close):119 - Closing buffer for stream engagements_calls 2022-04-13 00:45:08 destination > 2022-04-13 00:45:08 INFO i.a.i.d.r.SerializedBufferingStrategy(close):119 - Closing buffer for stream contact_lists 2022-04-13 00:45:08 destination > 2022-04-13 00:45:08 INFO i.a.i.d.r.SerializedBufferingStrategy(close):119 - Closing buffer for stream deal_pipelines 2022-04-13 00:45:08 destination > 2022-04-13 00:45:08 INFO i.a.i.d.r.SerializedBufferingStrategy(lambda$addRecord$0):55 - Starting a new buffer for stream engagements_calls (current state: 0 bytes in 0 buffers) 2022-04-13 00:45:08 destination > 2022-04-13 00:45:08 INFO i.a.i.d.g.u.GcsUtils(getDefaultAvroSchema):25 - Default schema. 2022-04-13 00:45:37 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5553000 (4 GB) 2022-04-13 00:45:42 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5554000 (4 GB) 2022-04-13 00:45:47 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5555000 (4 GB) 2022-04-13 00:45:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5556000 (4 GB) 2022-04-13 00:45:59 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5557000 (4 GB) 2022-04-13 00:46:04 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5558000 (4 GB) 2022-04-13 00:46:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5559000 (4 GB) 2022-04-13 00:46:13 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5560000 (4 GB) 2022-04-13 00:46:18 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5561000 (4 GB) 2022-04-13 00:46:23 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5562000 (4 GB) 2022-04-13 00:46:28 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5563000 (4 GB) 2022-04-13 00:46:33 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5564000 (4 GB) 2022-04-13 00:46:38 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5565000 (4 GB) 2022-04-13 00:46:43 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5566000 (4 GB) 2022-04-13 00:46:47 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5567000 (4 GB) 2022-04-13 00:46:52 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5568000 (4 GB) 2022-04-13 00:46:57 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5569000 (4 GB) 2022-04-13 00:47:02 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5570000 (4 GB) 2022-04-13 00:47:08 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5571000 (4 GB) 2022-04-13 00:47:13 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5572000 (4 GB) 2022-04-13 00:47:18 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5573000 (4 GB) 2022-04-13 00:47:23 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5574000 (4 GB) 2022-04-13 00:47:27 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5575000 (4 GB) 2022-04-13 00:47:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5576000 (4 GB) 2022-04-13 00:47:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5577000 (4 GB) 2022-04-13 00:47:45 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5578000 (4 GB) 2022-04-13 00:47:50 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5579000 (4 GB) 2022-04-13 00:47:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5580000 (4 GB) 2022-04-13 00:47:59 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5581000 (4 GB) 2022-04-13 00:48:04 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5582000 (4 GB) 2022-04-13 00:48:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5583000 (4 GB) 2022-04-13 00:48:14 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5584000 (4 GB) 2022-04-13 00:48:19 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5585000 (4 GB) 2022-04-13 00:48:24 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5586000 (4 GB) 2022-04-13 00:48:29 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5587000 (4 GB) 2022-04-13 00:48:33 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5588000 (4 GB) 2022-04-13 00:48:39 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5589000 (4 GB) 2022-04-13 00:48:43 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5590000 (4 GB) 2022-04-13 00:48:48 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5591000 (4 GB) 2022-04-13 00:48:52 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5592000 (4 GB) 2022-04-13 00:48:57 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5593000 (4 GB) 2022-04-13 00:49:01 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5594000 (4 GB) 2022-04-13 00:49:06 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5595000 (4 GB) 2022-04-13 00:49:11 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5596000 (4 GB) 2022-04-13 00:49:16 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5597000 (4 GB) 2022-04-13 00:49:20 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5598000 (4 GB) 2022-04-13 00:49:25 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5599000 (4 GB) 2022-04-13 00:49:30 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5600000 (4 GB) 2022-04-13 00:49:34 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5601000 (4 GB) 2022-04-13 00:49:39 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5602000 (4 GB) 2022-04-13 00:49:44 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5603000 (4 GB) 2022-04-13 00:49:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5604000 (4 GB) 2022-04-13 00:49:53 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5605000 (4 GB) 2022-04-13 00:49:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5606000 (4 GB) 2022-04-13 00:50:03 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5607000 (4 GB) 2022-04-13 00:50:08 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5608000 (4 GB) 2022-04-13 00:50:12 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5609000 (4 GB) 2022-04-13 00:50:17 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5610000 (4 GB) 2022-04-13 00:50:22 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5611000 (4 GB) 2022-04-13 00:50:26 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5612000 (4 GB) 2022-04-13 00:50:31 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5613000 (4 GB) 2022-04-13 00:50:32 source > Advancing bookmark for engagements_calls stream from None to 2022-04-12T19:17:18.409000+00:00 2022-04-13 00:50:32 source > Read 66760 records from engagements_calls stream 2022-04-13 00:50:32 source > Finished syncing SourceHubspot 2022-04-13 00:50:32 source > SourceHubspot runtimes: 2022-04-13 00:50:32 source > Syncing stream: engagements_emails 2022-04-13 00:50:32 destination > 2022-04-13 00:50:32 INFO i.a.i.d.r.SerializedBufferingStrategy(lambda$addRecord$0):55 - Starting a new buffer for stream engagements_emails (current state: 173 MB in 1 buffers) 2022-04-13 00:50:32 destination > 2022-04-13 00:50:32 INFO i.a.i.d.g.u.GcsUtils(getDefaultAvroSchema):25 - Default schema. 2022-04-13 00:50:37 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5614000 (4 GB) 2022-04-13 00:50:42 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5615000 (4 GB) 2022-04-13 00:50:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5616000 (4 GB) 2022-04-13 00:50:54 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5617000 (4 GB) 2022-04-13 00:51:00 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5618000 (4 GB) 2022-04-13 00:51:05 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5619000 (4 GB) 2022-04-13 00:51:12 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5620000 (4 GB) 2022-04-13 00:51:18 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5621000 (4 GB) 2022-04-13 00:51:23 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5622000 (4 GB) 2022-04-13 00:51:29 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5623000 (4 GB) 2022-04-13 00:51:35 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5624000 (4 GB) 2022-04-13 00:51:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5625000 (4 GB) 2022-04-13 00:51:47 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5626000 (4 GB) 2022-04-13 00:51:52 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5627000 (4 GB) 2022-04-13 00:51:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5628000 (4 GB) 2022-04-13 00:52:04 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5629000 (4 GB) 2022-04-13 00:52:11 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5630000 (4 GB) 2022-04-13 00:52:17 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5631000 (4 GB) 2022-04-13 00:52:23 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5632000 (4 GB) 2022-04-13 00:52:29 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5633000 (4 GB) 2022-04-13 00:52:12 destination > 2022-04-13 00:52:12 INFO i.a.i.d.r.SerializedBufferingStrategy(flushWriter):82 - Flushing buffer of stream engagements_emails (200 MB) 2022-04-13 00:52:12 destination > 2022-04-13 00:52:12 INFO i.a.i.d.b.BigQueryStagingConsumerFactory(lambda$flushBufferFunction$4):115 - Flushing buffer for stream engagements_emails (200 MB) to staging 2022-04-13 00:52:12 destination > 2022-04-13 00:52:12 INFO i.a.i.d.r.BaseSerializedBuffer(flush):138 - Finished writing data to c31d0855-f89e-490f-ad40-845cd3c6e64012681699781008459701.avro (200 MB) 2022-04-13 00:52:12 destination > 2022-04-13 00:52:12 INFO i.a.i.d.b.BigQueryGcsOperations(uploadRecordsToStage):108 - Uploading records to staging for stream engagements_emails (dataset hubspot_): product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-13 00:52:12 destination > 2022-04-13 00:52:12 INFO i.a.i.d.s.u.StreamTransferManagerHelper(getDefault):55 - PartSize arg is set to 5 MB 2022-04-13 00:52:12 destination > 2022-04-13 00:52:12 INFO a.m.s.StreamTransferManager(getMultiPartOutputStreams):329 - Initiated multipart upload to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with full ID ABPnzm6H5-Y0KQHKFloyWYc6dVfvQaINLXaakkOWoaIWkyQNrdQyFzgQARh2317Fs6GQGQjr 2022-04-13 00:52:12 destination > 2022-04-13 00:52:12 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm6H5...Fs6GQGQjr]: Finished uploading [Part number 1 containing 5.01 MB] 2022-04-13 00:52:12 destination > 2022-04-13 00:52:12 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm6H5...Fs6GQGQjr]: Finished uploading [Part number 5 containing 5.01 MB] 2022-04-13 00:52:12 destination > 2022-04-13 00:52:12 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm6H5...Fs6GQGQjr]: Finished uploading [Part number 2 containing 5.01 MB] 2022-04-13 00:52:12 destination > 2022-04-13 00:52:12 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm6H5...Fs6GQGQjr]: Finished uploading [Part number 3 containing 5.01 MB] 2022-04-13 00:52:13 destination > 2022-04-13 00:52:13 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm6H5...Fs6GQGQjr]: Finished uploading [Part number 4 containing 5.01 MB] 2022-04-13 00:52:13 destination > 2022-04-13 00:52:13 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm6H5...Fs6GQGQjr]: Finished uploading [Part number 10 containing 5.01 MB] 2022-04-13 00:52:13 destination > 2022-04-13 00:52:13 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm6H5...Fs6GQGQjr]: Finished uploading [Part number 7 containing 5.01 MB] 2022-04-13 00:52:13 destination > 2022-04-13 00:52:13 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm6H5...Fs6GQGQjr]: Finished uploading [Part number 6 containing 5.01 MB] 2022-04-13 00:52:13 destination > 2022-04-13 00:52:13 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm6H5...Fs6GQGQjr]: Finished uploading [Part number 8 containing 5.01 MB] 2022-04-13 00:52:13 destination > 2022-04-13 00:52:13 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm6H5...Fs6GQGQjr]: Finished uploading [Part number 11 containing 5.01 MB] 2022-04-13 00:52:13 destination > 2022-04-13 00:52:13 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm6H5...Fs6GQGQjr]: Finished uploading [Part number 9 containing 5.01 MB] 2022-04-13 00:52:13 destination > 2022-04-13 00:52:13 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm6H5...Fs6GQGQjr]: Finished uploading [Part number 13 containing 5.01 MB] 2022-04-13 00:52:13 destination > 2022-04-13 00:52:13 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm6H5...Fs6GQGQjr]: Finished uploading [Part number 15 containing 5.01 MB] 2022-04-13 00:52:13 destination > 2022-04-13 00:52:13 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm6H5...Fs6GQGQjr]: Finished uploading [Part number 14 containing 5.01 MB] 2022-04-13 00:52:13 destination > 2022-04-13 00:52:13 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm6H5...Fs6GQGQjr]: Finished uploading [Part number 16 containing 5.01 MB] 2022-04-13 00:52:13 destination > 2022-04-13 00:52:13 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm6H5...Fs6GQGQjr]: Finished uploading [Part number 12 containing 5.01 MB] 2022-04-13 00:52:13 destination > 2022-04-13 00:52:13 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm6H5...Fs6GQGQjr]: Finished uploading [Part number 18 containing 5.01 MB] 2022-04-13 00:52:13 destination > 2022-04-13 00:52:13 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm6H5...Fs6GQGQjr]: Finished uploading [Part number 20 containing 5.01 MB] 2022-04-13 00:52:13 destination > 2022-04-13 00:52:13 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm6H5...Fs6GQGQjr]: Finished uploading [Part number 19 containing 5.01 MB] 2022-04-13 00:52:13 destination > 2022-04-13 00:52:13 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm6H5...Fs6GQGQjr]: Finished uploading [Part number 21 containing 5.01 MB] 2022-04-13 00:52:13 destination > 2022-04-13 00:52:13 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm6H5...Fs6GQGQjr]: Finished uploading [Part number 17 containing 5.01 MB] 2022-04-13 00:52:13 destination > 2022-04-13 00:52:13 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm6H5...Fs6GQGQjr]: Finished uploading [Part number 22 containing 5.01 MB] 2022-04-13 00:52:13 destination > 2022-04-13 00:52:13 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm6H5...Fs6GQGQjr]: Finished uploading [Part number 23 containing 5.01 MB] 2022-04-13 00:52:13 destination > 2022-04-13 00:52:13 INFO a.m.s.MultiPartOutputStream(close):158 - Called close() on [MultipartOutputStream for parts 1 - 10000] 2022-04-13 00:52:13 destination > 2022-04-13 00:52:13 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm6H5...Fs6GQGQjr]: Finished uploading [Part number 24 containing 5.01 MB] 2022-04-13 00:52:13 destination > 2022-04-13 00:52:13 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm6H5...Fs6GQGQjr]: Finished uploading [Part number 25 containing 5.01 MB] 2022-04-13 00:52:13 destination > 2022-04-13 00:52:13 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm6H5...Fs6GQGQjr]: Finished uploading [Part number 26 containing 5.01 MB] 2022-04-13 00:52:13 destination > 2022-04-13 00:52:13 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm6H5...Fs6GQGQjr]: Finished uploading [Part number 28 containing 5.01 MB] 2022-04-13 00:52:13 destination > 2022-04-13 00:52:13 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm6H5...Fs6GQGQjr]: Finished uploading [Part number 27 containing 5.01 MB] 2022-04-13 00:52:13 destination > 2022-04-13 00:52:13 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm6H5...Fs6GQGQjr]: Finished uploading [Part number 29 containing 5.01 MB] 2022-04-13 00:52:13 destination > 2022-04-13 00:52:13 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm6H5...Fs6GQGQjr]: Finished uploading [Part number 31 containing 5.01 MB] 2022-04-13 00:52:13 destination > 2022-04-13 00:52:13 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm6H5...Fs6GQGQjr]: Finished uploading [Part number 32 containing 5.01 MB] 2022-04-13 00:52:13 destination > 2022-04-13 00:52:13 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm6H5...Fs6GQGQjr]: Finished uploading [Part number 30 containing 5.01 MB] 2022-04-13 00:52:13 destination > 2022-04-13 00:52:13 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm6H5...Fs6GQGQjr]: Finished uploading [Part number 34 containing 5.01 MB] 2022-04-13 00:52:13 destination > 2022-04-13 00:52:13 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm6H5...Fs6GQGQjr]: Finished uploading [Part number 35 containing 5.01 MB] 2022-04-13 00:52:13 destination > 2022-04-13 00:52:13 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm6H5...Fs6GQGQjr]: Finished uploading [Part number 36 containing 5.01 MB] 2022-04-13 00:52:13 destination > 2022-04-13 00:52:13 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm6H5...Fs6GQGQjr]: Finished uploading [Part number 33 containing 5.01 MB] 2022-04-13 00:52:13 destination > 2022-04-13 00:52:13 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm6H5...Fs6GQGQjr]: Finished uploading [Part number 38 containing 5.01 MB] 2022-04-13 00:52:13 destination > 2022-04-13 00:52:13 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm6H5...Fs6GQGQjr]: Finished uploading [Part number 37 containing 5.01 MB] 2022-04-13 00:52:13 destination > 2022-04-13 00:52:13 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm6H5...Fs6GQGQjr]: Finished uploading [Part number 39 containing 9.72 MB] 2022-04-13 00:52:13 destination > 2022-04-13 00:52:13 INFO a.m.s.StreamTransferManager(complete):395 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm6H5...Fs6GQGQjr]: Completed 2022-04-13 00:52:13 destination > 2022-04-13 00:52:13 INFO i.a.i.d.s.S3StorageOperations(loadDataIntoBucket):161 - Uploaded buffer file to storage: c31d0855-f89e-490f-ad40-845cd3c6e64012681699781008459701.avro -> product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro (filename: 1.avro) 2022-04-13 00:52:13 destination > 2022-04-13 00:52:13 INFO i.a.i.d.b.BigQueryWriteConfig(addStagedFile):53 - Added staged file: 1.avro 2022-04-13 00:52:13 destination > 2022-04-13 00:52:13 INFO i.a.i.d.r.FileBuffer(deleteFile):81 - Deleting tempFile data c31d0855-f89e-490f-ad40-845cd3c6e64012681699781008459701.avro 2022-04-13 00:52:13 destination > 2022-04-13 00:52:13 INFO i.a.i.d.r.SerializedBufferingStrategy(lambda$addRecord$0):55 - Starting a new buffer for stream engagements_emails (current state: 173 MB in 1 buffers) 2022-04-13 00:52:13 destination > 2022-04-13 00:52:13 INFO i.a.i.d.g.u.GcsUtils(getDefaultAvroSchema):25 - Default schema. 2022-04-13 00:52:35 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5634000 (4 GB) 2022-04-13 00:52:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5635000 (4 GB) 2022-04-13 00:52:47 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5636000 (4 GB) 2022-04-13 00:52:52 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5637000 (4 GB) 2022-04-13 00:52:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5638000 (4 GB) 2022-04-13 00:53:03 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5639000 (4 GB) 2022-04-13 00:53:08 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5640000 (4 GB) 2022-04-13 00:53:14 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5641000 (4 GB) 2022-04-13 00:53:20 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5642000 (4 GB) 2022-04-13 00:53:26 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5643000 (4 GB) 2022-04-13 00:53:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5644000 (4 GB) 2022-04-13 00:53:37 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5645000 (4 GB) 2022-04-13 00:53:43 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5646000 (4 GB) 2022-04-13 00:53:50 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5647000 (4 GB) 2022-04-13 00:53:56 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5648000 (4 GB) 2022-04-13 00:54:02 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5649000 (5 GB) 2022-04-13 00:54:08 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5650000 (5 GB) 2022-04-13 00:54:14 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5651000 (5 GB) 2022-04-13 00:54:20 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5652000 (5 GB) 2022-04-13 00:54:27 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5653000 (5 GB) 2022-04-13 00:54:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5654000 (5 GB) 2022-04-13 00:53:54 destination > 2022-04-13 00:53:54 INFO i.a.i.d.r.SerializedBufferingStrategy(flushWriter):82 - Flushing buffer of stream engagements_emails (200 MB) 2022-04-13 00:53:54 destination > 2022-04-13 00:53:54 INFO i.a.i.d.b.BigQueryStagingConsumerFactory(lambda$flushBufferFunction$4):115 - Flushing buffer for stream engagements_emails (200 MB) to staging 2022-04-13 00:53:54 destination > 2022-04-13 00:53:54 INFO i.a.i.d.r.BaseSerializedBuffer(flush):138 - Finished writing data to c85ce297-30d5-4202-ba7f-931b7ecedbe612827166498387085427.avro (200 MB) 2022-04-13 00:53:54 destination > 2022-04-13 00:53:54 INFO i.a.i.d.b.BigQueryGcsOperations(uploadRecordsToStage):108 - Uploading records to staging for stream engagements_emails (dataset hubspot_): product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-13 00:53:54 destination > 2022-04-13 00:53:54 INFO i.a.i.d.s.u.StreamTransferManagerHelper(getDefault):55 - PartSize arg is set to 5 MB 2022-04-13 00:53:54 destination > 2022-04-13 00:53:54 INFO a.m.s.StreamTransferManager(getMultiPartOutputStreams):329 - Initiated multipart upload to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with full ID ABPnzm6bMPVaxSXnZ2wrgwfUj5PYDZWvHmTKDk_7v6KX5OeaQWoPJHq-t2PTTwqmSGZ-q1zw 2022-04-13 00:53:54 destination > 2022-04-13 00:53:54 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm6bM...mSGZ-q1zw]: Finished uploading [Part number 3 containing 5.01 MB] 2022-04-13 00:53:54 destination > 2022-04-13 00:53:54 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm6bM...mSGZ-q1zw]: Finished uploading [Part number 2 containing 5.01 MB] 2022-04-13 00:53:54 destination > 2022-04-13 00:53:54 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm6bM...mSGZ-q1zw]: Finished uploading [Part number 1 containing 5.01 MB] 2022-04-13 00:53:54 destination > 2022-04-13 00:53:54 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm6bM...mSGZ-q1zw]: Finished uploading [Part number 6 containing 5.01 MB] 2022-04-13 00:53:54 destination > 2022-04-13 00:53:54 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm6bM...mSGZ-q1zw]: Finished uploading [Part number 4 containing 5.01 MB] 2022-04-13 00:53:54 destination > 2022-04-13 00:53:54 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm6bM...mSGZ-q1zw]: Finished uploading [Part number 7 containing 5.01 MB] 2022-04-13 00:53:54 destination > 2022-04-13 00:53:54 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm6bM...mSGZ-q1zw]: Finished uploading [Part number 11 containing 5.01 MB] 2022-04-13 00:53:54 destination > 2022-04-13 00:53:54 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm6bM...mSGZ-q1zw]: Finished uploading [Part number 9 containing 5.01 MB] 2022-04-13 00:53:54 destination > 2022-04-13 00:53:54 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm6bM...mSGZ-q1zw]: Finished uploading [Part number 10 containing 5.01 MB] 2022-04-13 00:53:54 destination > 2022-04-13 00:53:54 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm6bM...mSGZ-q1zw]: Finished uploading [Part number 8 containing 5.01 MB] 2022-04-13 00:53:54 destination > 2022-04-13 00:53:54 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm6bM...mSGZ-q1zw]: Finished uploading [Part number 12 containing 5.01 MB] 2022-04-13 00:53:54 destination > 2022-04-13 00:53:54 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm6bM...mSGZ-q1zw]: Finished uploading [Part number 13 containing 5.01 MB] 2022-04-13 00:53:54 destination > 2022-04-13 00:53:54 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm6bM...mSGZ-q1zw]: Finished uploading [Part number 15 containing 5.01 MB] 2022-04-13 00:53:54 destination > 2022-04-13 00:53:54 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm6bM...mSGZ-q1zw]: Finished uploading [Part number 14 containing 5.01 MB] 2022-04-13 00:53:54 destination > 2022-04-13 00:53:54 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm6bM...mSGZ-q1zw]: Finished uploading [Part number 17 containing 5.01 MB] 2022-04-13 00:53:54 destination > 2022-04-13 00:53:54 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm6bM...mSGZ-q1zw]: Finished uploading [Part number 5 containing 5.01 MB] 2022-04-13 00:53:54 destination > 2022-04-13 00:53:54 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm6bM...mSGZ-q1zw]: Finished uploading [Part number 16 containing 5.01 MB] 2022-04-13 00:53:54 destination > 2022-04-13 00:53:54 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm6bM...mSGZ-q1zw]: Finished uploading [Part number 20 containing 5.01 MB] 2022-04-13 00:53:54 destination > 2022-04-13 00:53:54 INFO a.m.s.MultiPartOutputStream(close):158 - Called close() on [MultipartOutputStream for parts 1 - 10000] 2022-04-13 00:53:54 destination > 2022-04-13 00:53:54 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm6bM...mSGZ-q1zw]: Finished uploading [Part number 21 containing 5.01 MB] 2022-04-13 00:53:54 destination > 2022-04-13 00:53:54 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm6bM...mSGZ-q1zw]: Finished uploading [Part number 18 containing 5.01 MB] 2022-04-13 00:53:54 destination > 2022-04-13 00:53:54 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm6bM...mSGZ-q1zw]: Finished uploading [Part number 19 containing 5.01 MB] 2022-04-13 00:53:55 destination > 2022-04-13 00:53:55 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm6bM...mSGZ-q1zw]: Finished uploading [Part number 22 containing 5.01 MB] 2022-04-13 00:53:55 destination > 2022-04-13 00:53:55 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm6bM...mSGZ-q1zw]: Finished uploading [Part number 23 containing 5.01 MB] 2022-04-13 00:53:55 destination > 2022-04-13 00:53:55 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm6bM...mSGZ-q1zw]: Finished uploading [Part number 28 containing 5.01 MB] 2022-04-13 00:53:55 destination > 2022-04-13 00:53:55 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm6bM...mSGZ-q1zw]: Finished uploading [Part number 24 containing 5.01 MB] 2022-04-13 00:53:55 destination > 2022-04-13 00:53:55 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm6bM...mSGZ-q1zw]: Finished uploading [Part number 25 containing 5.01 MB] 2022-04-13 00:53:55 destination > 2022-04-13 00:53:55 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm6bM...mSGZ-q1zw]: Finished uploading [Part number 27 containing 5.01 MB] 2022-04-13 00:53:55 destination > 2022-04-13 00:53:55 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm6bM...mSGZ-q1zw]: Finished uploading [Part number 26 containing 5.01 MB] 2022-04-13 00:53:55 destination > 2022-04-13 00:53:55 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm6bM...mSGZ-q1zw]: Finished uploading [Part number 29 containing 5.01 MB] 2022-04-13 00:53:55 destination > 2022-04-13 00:53:55 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm6bM...mSGZ-q1zw]: Finished uploading [Part number 32 containing 5.01 MB] 2022-04-13 00:53:55 destination > 2022-04-13 00:53:55 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm6bM...mSGZ-q1zw]: Finished uploading [Part number 30 containing 5.01 MB] 2022-04-13 00:53:55 destination > 2022-04-13 00:53:55 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm6bM...mSGZ-q1zw]: Finished uploading [Part number 35 containing 5.01 MB] 2022-04-13 00:53:55 destination > 2022-04-13 00:53:55 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm6bM...mSGZ-q1zw]: Finished uploading [Part number 31 containing 5.01 MB] 2022-04-13 00:53:55 destination > 2022-04-13 00:53:55 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm6bM...mSGZ-q1zw]: Finished uploading [Part number 33 containing 5.01 MB] 2022-04-13 00:53:55 destination > 2022-04-13 00:53:55 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm6bM...mSGZ-q1zw]: Finished uploading [Part number 34 containing 5.01 MB] 2022-04-13 00:53:55 destination > 2022-04-13 00:53:55 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm6bM...mSGZ-q1zw]: Finished uploading [Part number 36 containing 5.01 MB] 2022-04-13 00:53:55 destination > 2022-04-13 00:53:55 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm6bM...mSGZ-q1zw]: Finished uploading [Part number 37 containing 5.01 MB] 2022-04-13 00:53:55 destination > 2022-04-13 00:53:55 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm6bM...mSGZ-q1zw]: Finished uploading [Part number 38 containing 5.01 MB] 2022-04-13 00:53:55 destination > 2022-04-13 00:53:55 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm6bM...mSGZ-q1zw]: Finished uploading [Part number 39 containing 9.72 MB] 2022-04-13 00:53:55 destination > 2022-04-13 00:53:55 INFO a.m.s.StreamTransferManager(complete):395 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm6bM...mSGZ-q1zw]: Completed 2022-04-13 00:53:55 destination > 2022-04-13 00:53:55 INFO i.a.i.d.s.S3StorageOperations(loadDataIntoBucket):161 - Uploaded buffer file to storage: c85ce297-30d5-4202-ba7f-931b7ecedbe612827166498387085427.avro -> product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro (filename: 2.avro) 2022-04-13 00:53:55 destination > 2022-04-13 00:53:55 INFO i.a.i.d.b.BigQueryWriteConfig(addStagedFile):53 - Added staged file: 2.avro 2022-04-13 00:53:55 destination > 2022-04-13 00:53:55 INFO i.a.i.d.r.FileBuffer(deleteFile):81 - Deleting tempFile data c85ce297-30d5-4202-ba7f-931b7ecedbe612827166498387085427.avro 2022-04-13 00:53:55 destination > 2022-04-13 00:53:55 INFO i.a.i.d.r.SerializedBufferingStrategy(lambda$addRecord$0):55 - Starting a new buffer for stream engagements_emails (current state: 173 MB in 1 buffers) 2022-04-13 00:53:55 destination > 2022-04-13 00:53:55 INFO i.a.i.d.g.u.GcsUtils(getDefaultAvroSchema):25 - Default schema. 2022-04-13 00:54:38 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5655000 (5 GB) 2022-04-13 00:54:46 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5656000 (5 GB) 2022-04-13 00:54:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5657000 (5 GB) 2022-04-13 00:55:01 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5658000 (5 GB) 2022-04-13 00:55:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5659000 (5 GB) 2022-04-13 00:55:16 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5660000 (5 GB) 2022-04-13 00:55:23 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5661000 (5 GB) 2022-04-13 00:55:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5662000 (5 GB) 2022-04-13 00:55:06 destination > 2022-04-13 00:55:06 INFO i.a.i.d.r.SerializedBufferingStrategy(flushWriter):82 - Flushing buffer of stream engagements_emails (200 MB) 2022-04-13 00:55:06 destination > 2022-04-13 00:55:06 INFO i.a.i.d.b.BigQueryStagingConsumerFactory(lambda$flushBufferFunction$4):115 - Flushing buffer for stream engagements_emails (200 MB) to staging 2022-04-13 00:55:06 destination > 2022-04-13 00:55:06 INFO i.a.i.d.r.BaseSerializedBuffer(flush):138 - Finished writing data to a4163edd-cbd5-47c5-8c47-62c071a8fdf93085826006982426580.avro (200 MB) 2022-04-13 00:55:06 destination > 2022-04-13 00:55:06 INFO i.a.i.d.b.BigQueryGcsOperations(uploadRecordsToStage):108 - Uploading records to staging for stream engagements_emails (dataset hubspot_): product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-13 00:55:06 destination > 2022-04-13 00:55:06 INFO i.a.i.d.s.u.StreamTransferManagerHelper(getDefault):55 - PartSize arg is set to 5 MB 2022-04-13 00:55:06 destination > 2022-04-13 00:55:06 INFO a.m.s.StreamTransferManager(getMultiPartOutputStreams):329 - Initiated multipart upload to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with full ID ABPnzm7_K8_3UkdB1-vcO6Dh8wYs2XEd76Ndawy4ux6eI2P6g_KsEPrNE3t_vJgSowNmoGro 2022-04-13 00:55:06 destination > 2022-04-13 00:55:06 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm7_K...SowNmoGro]: Finished uploading [Part number 2 containing 5.01 MB] 2022-04-13 00:55:07 destination > 2022-04-13 00:55:07 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm7_K...SowNmoGro]: Finished uploading [Part number 6 containing 5.01 MB] 2022-04-13 00:55:07 destination > 2022-04-13 00:55:07 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm7_K...SowNmoGro]: Finished uploading [Part number 5 containing 5.01 MB] 2022-04-13 00:55:07 destination > 2022-04-13 00:55:07 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm7_K...SowNmoGro]: Finished uploading [Part number 10 containing 5.01 MB] 2022-04-13 00:55:07 destination > 2022-04-13 00:55:07 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm7_K...SowNmoGro]: Finished uploading [Part number 8 containing 5.01 MB] 2022-04-13 00:55:07 destination > 2022-04-13 00:55:07 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm7_K...SowNmoGro]: Finished uploading [Part number 3 containing 5.01 MB] 2022-04-13 00:55:07 destination > 2022-04-13 00:55:07 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm7_K...SowNmoGro]: Finished uploading [Part number 7 containing 5.01 MB] 2022-04-13 00:55:07 destination > 2022-04-13 00:55:07 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm7_K...SowNmoGro]: Finished uploading [Part number 1 containing 5.01 MB] 2022-04-13 00:55:07 destination > 2022-04-13 00:55:07 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm7_K...SowNmoGro]: Finished uploading [Part number 4 containing 5.01 MB] 2022-04-13 00:55:07 destination > 2022-04-13 00:55:07 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm7_K...SowNmoGro]: Finished uploading [Part number 9 containing 5.01 MB] 2022-04-13 00:55:07 destination > 2022-04-13 00:55:07 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm7_K...SowNmoGro]: Finished uploading [Part number 13 containing 5.01 MB] 2022-04-13 00:55:07 destination > 2022-04-13 00:55:07 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm7_K...SowNmoGro]: Finished uploading [Part number 16 containing 5.01 MB] 2022-04-13 00:55:07 destination > 2022-04-13 00:55:07 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm7_K...SowNmoGro]: Finished uploading [Part number 11 containing 5.01 MB] 2022-04-13 00:55:07 destination > 2022-04-13 00:55:07 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm7_K...SowNmoGro]: Finished uploading [Part number 18 containing 5.01 MB] 2022-04-13 00:55:07 destination > 2022-04-13 00:55:07 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm7_K...SowNmoGro]: Finished uploading [Part number 12 containing 5.01 MB] 2022-04-13 00:55:07 destination > 2022-04-13 00:55:07 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm7_K...SowNmoGro]: Finished uploading [Part number 17 containing 5.01 MB] 2022-04-13 00:55:07 destination > 2022-04-13 00:55:07 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm7_K...SowNmoGro]: Finished uploading [Part number 15 containing 5.01 MB] 2022-04-13 00:55:07 destination > 2022-04-13 00:55:07 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm7_K...SowNmoGro]: Finished uploading [Part number 21 containing 5.01 MB] 2022-04-13 00:55:07 destination > 2022-04-13 00:55:07 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm7_K...SowNmoGro]: Finished uploading [Part number 14 containing 5.01 MB] 2022-04-13 00:55:07 destination > 2022-04-13 00:55:07 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm7_K...SowNmoGro]: Finished uploading [Part number 19 containing 5.01 MB] 2022-04-13 00:55:07 destination > 2022-04-13 00:55:07 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm7_K...SowNmoGro]: Finished uploading [Part number 20 containing 5.01 MB] 2022-04-13 00:55:07 destination > 2022-04-13 00:55:07 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm7_K...SowNmoGro]: Finished uploading [Part number 22 containing 5.01 MB] 2022-04-13 00:55:07 destination > 2022-04-13 00:55:07 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm7_K...SowNmoGro]: Finished uploading [Part number 23 containing 5.01 MB] 2022-04-13 00:55:07 destination > 2022-04-13 00:55:07 INFO a.m.s.MultiPartOutputStream(close):158 - Called close() on [MultipartOutputStream for parts 1 - 10000] 2022-04-13 00:55:07 destination > 2022-04-13 00:55:07 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm7_K...SowNmoGro]: Finished uploading [Part number 25 containing 5.01 MB] 2022-04-13 00:55:07 destination > 2022-04-13 00:55:07 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm7_K...SowNmoGro]: Finished uploading [Part number 26 containing 5.01 MB] 2022-04-13 00:55:07 destination > 2022-04-13 00:55:07 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm7_K...SowNmoGro]: Finished uploading [Part number 27 containing 5.01 MB] 2022-04-13 00:55:07 destination > 2022-04-13 00:55:07 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm7_K...SowNmoGro]: Finished uploading [Part number 24 containing 5.01 MB] 2022-04-13 00:55:07 destination > 2022-04-13 00:55:07 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm7_K...SowNmoGro]: Finished uploading [Part number 29 containing 5.01 MB] 2022-04-13 00:55:07 destination > 2022-04-13 00:55:07 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm7_K...SowNmoGro]: Finished uploading [Part number 28 containing 5.01 MB] 2022-04-13 00:55:07 destination > 2022-04-13 00:55:07 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm7_K...SowNmoGro]: Finished uploading [Part number 30 containing 5.01 MB] 2022-04-13 00:55:07 destination > 2022-04-13 00:55:07 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm7_K...SowNmoGro]: Finished uploading [Part number 31 containing 5.01 MB] 2022-04-13 00:55:07 destination > 2022-04-13 00:55:07 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm7_K...SowNmoGro]: Finished uploading [Part number 32 containing 5.01 MB] 2022-04-13 00:55:07 destination > 2022-04-13 00:55:07 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm7_K...SowNmoGro]: Finished uploading [Part number 33 containing 5.01 MB] 2022-04-13 00:55:07 destination > 2022-04-13 00:55:07 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm7_K...SowNmoGro]: Finished uploading [Part number 34 containing 5.01 MB] 2022-04-13 00:55:07 destination > 2022-04-13 00:55:07 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm7_K...SowNmoGro]: Finished uploading [Part number 35 containing 5.01 MB] 2022-04-13 00:55:07 destination > 2022-04-13 00:55:07 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm7_K...SowNmoGro]: Finished uploading [Part number 37 containing 5.01 MB] 2022-04-13 00:55:07 destination > 2022-04-13 00:55:07 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm7_K...SowNmoGro]: Finished uploading [Part number 38 containing 5.01 MB] 2022-04-13 00:55:07 destination > 2022-04-13 00:55:07 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm7_K...SowNmoGro]: Finished uploading [Part number 39 containing 9.77 MB] 2022-04-13 00:55:07 destination > 2022-04-13 00:55:07 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm7_K...SowNmoGro]: Finished uploading [Part number 36 containing 5.01 MB] 2022-04-13 00:55:07 destination > 2022-04-13 00:55:07 INFO a.m.s.StreamTransferManager(complete):395 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro with id ABPnzm7_K...SowNmoGro]: Completed 2022-04-13 00:55:07 destination > 2022-04-13 00:55:07 INFO i.a.i.d.s.S3StorageOperations(loadDataIntoBucket):161 - Uploaded buffer file to storage: a4163edd-cbd5-47c5-8c47-62c071a8fdf93085826006982426580.avro -> product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro (filename: 3.avro) 2022-04-13 00:55:07 destination > 2022-04-13 00:55:07 INFO i.a.i.d.b.BigQueryWriteConfig(addStagedFile):53 - Added staged file: 3.avro 2022-04-13 00:55:07 destination > 2022-04-13 00:55:07 INFO i.a.i.d.r.FileBuffer(deleteFile):81 - Deleting tempFile data a4163edd-cbd5-47c5-8c47-62c071a8fdf93085826006982426580.avro 2022-04-13 00:55:07 destination > 2022-04-13 00:55:07 INFO i.a.i.d.r.SerializedBufferingStrategy(lambda$addRecord$0):55 - Starting a new buffer for stream engagements_emails (current state: 173 MB in 1 buffers) 2022-04-13 00:55:07 destination > 2022-04-13 00:55:07 INFO i.a.i.d.g.u.GcsUtils(getDefaultAvroSchema):25 - Default schema. 2022-04-13 00:55:38 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5663000 (5 GB) 2022-04-13 00:55:46 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5664000 (5 GB) 2022-04-13 00:55:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5665000 (5 GB) 2022-04-13 00:56:05 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5666000 (5 GB) 2022-04-13 00:56:12 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5667000 (5 GB) 2022-04-13 00:56:19 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5668000 (5 GB) 2022-04-13 00:56:25 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5669000 (5 GB) 2022-04-13 00:56:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5670000 (5 GB) 2022-04-13 00:55:53 destination > 2022-04-13 00:55:53 INFO i.a.i.d.r.SerializedBufferingStrategy(flushWriter):82 - Flushing buffer of stream engagements_emails (200 MB) 2022-04-13 00:55:53 destination > 2022-04-13 00:55:53 INFO i.a.i.d.b.BigQueryStagingConsumerFactory(lambda$flushBufferFunction$4):115 - Flushing buffer for stream engagements_emails (200 MB) to staging 2022-04-13 00:55:53 destination > 2022-04-13 00:55:53 INFO i.a.i.d.r.BaseSerializedBuffer(flush):138 - Finished writing data to 9364f2e5-0c97-4e7c-a862-b64a976ca6c04773388567123056920.avro (200 MB) 2022-04-13 00:55:53 destination > 2022-04-13 00:55:53 INFO i.a.i.d.b.BigQueryGcsOperations(uploadRecordsToStage):108 - Uploading records to staging for stream engagements_emails (dataset hubspot_): product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-13 00:55:53 destination > 2022-04-13 00:55:53 INFO i.a.i.d.s.u.StreamTransferManagerHelper(getDefault):55 - PartSize arg is set to 5 MB 2022-04-13 00:55:53 destination > 2022-04-13 00:55:53 INFO a.m.s.StreamTransferManager(getMultiPartOutputStreams):329 - Initiated multipart upload to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with full ID ABPnzm6mgz0SXUSJRxDuhTmo2QtXdbD9WzB8UpzMUPSWLJnfH7Trdl0p83y0s8JVTTmi7XgR 2022-04-13 00:55:53 destination > 2022-04-13 00:55:53 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm6mg...VTTmi7XgR]: Finished uploading [Part number 2 containing 5.01 MB] 2022-04-13 00:55:54 destination > 2022-04-13 00:55:54 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm6mg...VTTmi7XgR]: Finished uploading [Part number 1 containing 5.01 MB] 2022-04-13 00:55:54 destination > 2022-04-13 00:55:54 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm6mg...VTTmi7XgR]: Finished uploading [Part number 4 containing 5.01 MB] 2022-04-13 00:55:54 destination > 2022-04-13 00:55:54 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm6mg...VTTmi7XgR]: Finished uploading [Part number 6 containing 5.01 MB] 2022-04-13 00:55:54 destination > 2022-04-13 00:55:54 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm6mg...VTTmi7XgR]: Finished uploading [Part number 8 containing 5.01 MB] 2022-04-13 00:55:54 destination > 2022-04-13 00:55:54 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm6mg...VTTmi7XgR]: Finished uploading [Part number 3 containing 5.01 MB] 2022-04-13 00:55:54 destination > 2022-04-13 00:55:54 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm6mg...VTTmi7XgR]: Finished uploading [Part number 5 containing 5.01 MB] 2022-04-13 00:55:54 destination > 2022-04-13 00:55:54 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm6mg...VTTmi7XgR]: Finished uploading [Part number 7 containing 5.01 MB] 2022-04-13 00:55:54 destination > 2022-04-13 00:55:54 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm6mg...VTTmi7XgR]: Finished uploading [Part number 9 containing 5.01 MB] 2022-04-13 00:55:54 destination > 2022-04-13 00:55:54 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm6mg...VTTmi7XgR]: Finished uploading [Part number 11 containing 5.01 MB] 2022-04-13 00:55:54 destination > 2022-04-13 00:55:54 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm6mg...VTTmi7XgR]: Finished uploading [Part number 12 containing 5.01 MB] 2022-04-13 00:55:54 destination > 2022-04-13 00:55:54 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm6mg...VTTmi7XgR]: Finished uploading [Part number 16 containing 5.01 MB] 2022-04-13 00:55:54 destination > 2022-04-13 00:55:54 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm6mg...VTTmi7XgR]: Finished uploading [Part number 10 containing 5.01 MB] 2022-04-13 00:55:54 destination > 2022-04-13 00:55:54 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm6mg...VTTmi7XgR]: Finished uploading [Part number 14 containing 5.01 MB] 2022-04-13 00:55:54 destination > 2022-04-13 00:55:54 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm6mg...VTTmi7XgR]: Finished uploading [Part number 17 containing 5.01 MB] 2022-04-13 00:55:54 destination > 2022-04-13 00:55:54 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm6mg...VTTmi7XgR]: Finished uploading [Part number 18 containing 5.01 MB] 2022-04-13 00:55:54 destination > 2022-04-13 00:55:54 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm6mg...VTTmi7XgR]: Finished uploading [Part number 19 containing 5.01 MB] 2022-04-13 00:55:54 destination > 2022-04-13 00:55:54 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm6mg...VTTmi7XgR]: Finished uploading [Part number 13 containing 5.01 MB] 2022-04-13 00:55:54 destination > 2022-04-13 00:55:54 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm6mg...VTTmi7XgR]: Finished uploading [Part number 15 containing 5.01 MB] 2022-04-13 00:55:54 destination > 2022-04-13 00:55:54 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm6mg...VTTmi7XgR]: Finished uploading [Part number 20 containing 5.01 MB] 2022-04-13 00:55:54 destination > 2022-04-13 00:55:54 INFO a.m.s.MultiPartOutputStream(close):158 - Called close() on [MultipartOutputStream for parts 1 - 10000] 2022-04-13 00:55:54 destination > 2022-04-13 00:55:54 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm6mg...VTTmi7XgR]: Finished uploading [Part number 23 containing 5.01 MB] 2022-04-13 00:55:54 destination > 2022-04-13 00:55:54 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm6mg...VTTmi7XgR]: Finished uploading [Part number 22 containing 5.01 MB] 2022-04-13 00:55:54 destination > 2022-04-13 00:55:54 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm6mg...VTTmi7XgR]: Finished uploading [Part number 25 containing 5.01 MB] 2022-04-13 00:55:54 destination > 2022-04-13 00:55:54 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm6mg...VTTmi7XgR]: Finished uploading [Part number 21 containing 5.01 MB] 2022-04-13 00:55:54 destination > 2022-04-13 00:55:54 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm6mg...VTTmi7XgR]: Finished uploading [Part number 24 containing 5.01 MB] 2022-04-13 00:55:54 destination > 2022-04-13 00:55:54 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm6mg...VTTmi7XgR]: Finished uploading [Part number 27 containing 5.01 MB] 2022-04-13 00:55:54 destination > 2022-04-13 00:55:54 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm6mg...VTTmi7XgR]: Finished uploading [Part number 28 containing 5.01 MB] 2022-04-13 00:55:54 destination > 2022-04-13 00:55:54 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm6mg...VTTmi7XgR]: Finished uploading [Part number 26 containing 5.01 MB] 2022-04-13 00:55:54 destination > 2022-04-13 00:55:54 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm6mg...VTTmi7XgR]: Finished uploading [Part number 30 containing 5.01 MB] 2022-04-13 00:55:54 destination > 2022-04-13 00:55:54 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm6mg...VTTmi7XgR]: Finished uploading [Part number 29 containing 5.01 MB] 2022-04-13 00:55:54 destination > 2022-04-13 00:55:54 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm6mg...VTTmi7XgR]: Finished uploading [Part number 31 containing 5.01 MB] 2022-04-13 00:55:54 destination > 2022-04-13 00:55:54 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm6mg...VTTmi7XgR]: Finished uploading [Part number 33 containing 5.01 MB] 2022-04-13 00:55:54 destination > 2022-04-13 00:55:54 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm6mg...VTTmi7XgR]: Finished uploading [Part number 32 containing 5.01 MB] 2022-04-13 00:55:54 destination > 2022-04-13 00:55:54 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm6mg...VTTmi7XgR]: Finished uploading [Part number 37 containing 5.01 MB] 2022-04-13 00:55:54 destination > 2022-04-13 00:55:54 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm6mg...VTTmi7XgR]: Finished uploading [Part number 34 containing 5.01 MB] 2022-04-13 00:55:54 destination > 2022-04-13 00:55:54 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm6mg...VTTmi7XgR]: Finished uploading [Part number 36 containing 5.01 MB] 2022-04-13 00:55:54 destination > 2022-04-13 00:55:54 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm6mg...VTTmi7XgR]: Finished uploading [Part number 39 containing 5.01 MB] 2022-04-13 00:55:54 destination > 2022-04-13 00:55:54 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm6mg...VTTmi7XgR]: Finished uploading [Part number 38 containing 5.01 MB] 2022-04-13 00:55:54 destination > 2022-04-13 00:55:54 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm6mg...VTTmi7XgR]: Finished uploading [Part number 40 containing 5.05 MB] 2022-04-13 00:55:54 destination > 2022-04-13 00:55:54 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm6mg...VTTmi7XgR]: Finished uploading [Part number 35 containing 5.01 MB] 2022-04-13 00:55:54 destination > 2022-04-13 00:55:54 INFO a.m.s.StreamTransferManager(complete):395 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro with id ABPnzm6mg...VTTmi7XgR]: Completed 2022-04-13 00:55:54 destination > 2022-04-13 00:55:54 INFO i.a.i.d.s.S3StorageOperations(loadDataIntoBucket):161 - Uploaded buffer file to storage: 9364f2e5-0c97-4e7c-a862-b64a976ca6c04773388567123056920.avro -> product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro (filename: 4.avro) 2022-04-13 00:55:54 destination > 2022-04-13 00:55:54 INFO i.a.i.d.b.BigQueryWriteConfig(addStagedFile):53 - Added staged file: 4.avro 2022-04-13 00:55:54 destination > 2022-04-13 00:55:54 INFO i.a.i.d.r.FileBuffer(deleteFile):81 - Deleting tempFile data 9364f2e5-0c97-4e7c-a862-b64a976ca6c04773388567123056920.avro 2022-04-13 00:55:54 destination > 2022-04-13 00:55:54 INFO i.a.i.d.r.SerializedBufferingStrategy(lambda$addRecord$0):55 - Starting a new buffer for stream engagements_emails (current state: 173 MB in 1 buffers) 2022-04-13 00:55:54 destination > 2022-04-13 00:55:54 INFO i.a.i.d.g.u.GcsUtils(getDefaultAvroSchema):25 - Default schema. 2022-04-13 00:56:39 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5671000 (5 GB) 2022-04-13 00:56:46 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5672000 (5 GB) 2022-04-13 00:56:52 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5673000 (5 GB) 2022-04-13 00:56:59 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5674000 (5 GB) 2022-04-13 00:57:05 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5675000 (5 GB) 2022-04-13 00:57:12 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5676000 (5 GB) 2022-04-13 00:57:18 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5677000 (5 GB) 2022-04-13 00:57:26 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5678000 (5 GB) 2022-04-13 00:57:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5679000 (5 GB) 2022-04-13 00:56:43 destination > 2022-04-13 00:56:43 INFO i.a.i.d.r.SerializedBufferingStrategy(flushWriter):82 - Flushing buffer of stream engagements_emails (200 MB) 2022-04-13 00:56:43 destination > 2022-04-13 00:56:43 INFO i.a.i.d.b.BigQueryStagingConsumerFactory(lambda$flushBufferFunction$4):115 - Flushing buffer for stream engagements_emails (200 MB) to staging 2022-04-13 00:56:43 destination > 2022-04-13 00:56:43 INFO i.a.i.d.r.BaseSerializedBuffer(flush):138 - Finished writing data to 0ca17da5-a754-4107-8942-7ee3805ca54616476622798687514966.avro (200 MB) 2022-04-13 00:56:43 destination > 2022-04-13 00:56:43 INFO i.a.i.d.b.BigQueryGcsOperations(uploadRecordsToStage):108 - Uploading records to staging for stream engagements_emails (dataset hubspot_): product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-13 00:56:43 destination > 2022-04-13 00:56:43 INFO i.a.i.d.s.u.StreamTransferManagerHelper(getDefault):55 - PartSize arg is set to 5 MB 2022-04-13 00:56:43 destination > 2022-04-13 00:56:43 INFO a.m.s.StreamTransferManager(getMultiPartOutputStreams):329 - Initiated multipart upload to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with full ID ABPnzm71Phns8bTlVt0WmR38rmMQ8RcwoYzsN2teyJv1twvtRDCHg65awyiXyse9OsA-2tIb 2022-04-13 00:56:43 destination > 2022-04-13 00:56:43 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm71P...9OsA-2tIb]: Finished uploading [Part number 3 containing 5.01 MB] 2022-04-13 00:56:43 destination > 2022-04-13 00:56:43 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm71P...9OsA-2tIb]: Finished uploading [Part number 1 containing 5.01 MB] 2022-04-13 00:56:43 destination > 2022-04-13 00:56:43 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm71P...9OsA-2tIb]: Finished uploading [Part number 4 containing 5.01 MB] 2022-04-13 00:56:43 destination > 2022-04-13 00:56:43 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm71P...9OsA-2tIb]: Finished uploading [Part number 2 containing 5.01 MB] 2022-04-13 00:56:43 destination > 2022-04-13 00:56:43 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm71P...9OsA-2tIb]: Finished uploading [Part number 6 containing 5.01 MB] 2022-04-13 00:56:43 destination > 2022-04-13 00:56:43 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm71P...9OsA-2tIb]: Finished uploading [Part number 5 containing 5.01 MB] 2022-04-13 00:56:43 destination > 2022-04-13 00:56:43 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm71P...9OsA-2tIb]: Finished uploading [Part number 7 containing 5.01 MB] 2022-04-13 00:56:43 destination > 2022-04-13 00:56:43 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm71P...9OsA-2tIb]: Finished uploading [Part number 9 containing 5.01 MB] 2022-04-13 00:56:43 destination > 2022-04-13 00:56:43 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm71P...9OsA-2tIb]: Finished uploading [Part number 8 containing 5.01 MB] 2022-04-13 00:56:43 destination > 2022-04-13 00:56:43 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm71P...9OsA-2tIb]: Finished uploading [Part number 12 containing 5.01 MB] 2022-04-13 00:56:43 destination > 2022-04-13 00:56:43 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm71P...9OsA-2tIb]: Finished uploading [Part number 11 containing 5.01 MB] 2022-04-13 00:56:43 destination > 2022-04-13 00:56:43 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm71P...9OsA-2tIb]: Finished uploading [Part number 10 containing 5.01 MB] 2022-04-13 00:56:43 destination > 2022-04-13 00:56:43 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm71P...9OsA-2tIb]: Finished uploading [Part number 14 containing 5.01 MB] 2022-04-13 00:56:43 destination > 2022-04-13 00:56:43 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm71P...9OsA-2tIb]: Finished uploading [Part number 15 containing 5.01 MB] 2022-04-13 00:56:43 destination > 2022-04-13 00:56:43 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm71P...9OsA-2tIb]: Finished uploading [Part number 13 containing 5.01 MB] 2022-04-13 00:56:43 destination > 2022-04-13 00:56:43 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm71P...9OsA-2tIb]: Finished uploading [Part number 16 containing 5.01 MB] 2022-04-13 00:56:43 destination > 2022-04-13 00:56:43 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm71P...9OsA-2tIb]: Finished uploading [Part number 17 containing 5.01 MB] 2022-04-13 00:56:43 destination > 2022-04-13 00:56:43 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm71P...9OsA-2tIb]: Finished uploading [Part number 19 containing 5.01 MB] 2022-04-13 00:56:43 destination > 2022-04-13 00:56:43 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm71P...9OsA-2tIb]: Finished uploading [Part number 18 containing 5.01 MB] 2022-04-13 00:56:43 destination > 2022-04-13 00:56:43 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm71P...9OsA-2tIb]: Finished uploading [Part number 21 containing 5.01 MB] 2022-04-13 00:56:43 destination > 2022-04-13 00:56:43 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm71P...9OsA-2tIb]: Finished uploading [Part number 24 containing 5.01 MB] 2022-04-13 00:56:43 destination > 2022-04-13 00:56:43 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm71P...9OsA-2tIb]: Finished uploading [Part number 23 containing 5.01 MB] 2022-04-13 00:56:43 destination > 2022-04-13 00:56:43 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm71P...9OsA-2tIb]: Finished uploading [Part number 22 containing 5.01 MB] 2022-04-13 00:56:43 destination > 2022-04-13 00:56:43 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm71P...9OsA-2tIb]: Finished uploading [Part number 25 containing 5.01 MB] 2022-04-13 00:56:43 destination > 2022-04-13 00:56:43 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm71P...9OsA-2tIb]: Finished uploading [Part number 20 containing 5.01 MB] 2022-04-13 00:56:43 destination > 2022-04-13 00:56:43 INFO a.m.s.MultiPartOutputStream(close):158 - Called close() on [MultipartOutputStream for parts 1 - 10000] 2022-04-13 00:56:43 destination > 2022-04-13 00:56:43 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm71P...9OsA-2tIb]: Finished uploading [Part number 29 containing 5.01 MB] 2022-04-13 00:56:43 destination > 2022-04-13 00:56:43 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm71P...9OsA-2tIb]: Finished uploading [Part number 26 containing 5.01 MB] 2022-04-13 00:56:43 destination > 2022-04-13 00:56:43 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm71P...9OsA-2tIb]: Finished uploading [Part number 30 containing 5.01 MB] 2022-04-13 00:56:43 destination > 2022-04-13 00:56:43 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm71P...9OsA-2tIb]: Finished uploading [Part number 27 containing 5.01 MB] 2022-04-13 00:56:43 destination > 2022-04-13 00:56:43 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm71P...9OsA-2tIb]: Finished uploading [Part number 34 containing 5.01 MB] 2022-04-13 00:56:43 destination > 2022-04-13 00:56:43 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm71P...9OsA-2tIb]: Finished uploading [Part number 33 containing 5.01 MB] 2022-04-13 00:56:44 destination > 2022-04-13 00:56:44 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm71P...9OsA-2tIb]: Finished uploading [Part number 31 containing 5.01 MB] 2022-04-13 00:56:44 destination > 2022-04-13 00:56:44 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm71P...9OsA-2tIb]: Finished uploading [Part number 28 containing 5.01 MB] 2022-04-13 00:56:44 destination > 2022-04-13 00:56:44 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm71P...9OsA-2tIb]: Finished uploading [Part number 32 containing 5.01 MB] 2022-04-13 00:56:44 destination > 2022-04-13 00:56:44 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm71P...9OsA-2tIb]: Finished uploading [Part number 35 containing 5.01 MB] 2022-04-13 00:56:44 destination > 2022-04-13 00:56:44 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm71P...9OsA-2tIb]: Finished uploading [Part number 36 containing 5.01 MB] 2022-04-13 00:56:44 destination > 2022-04-13 00:56:44 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm71P...9OsA-2tIb]: Finished uploading [Part number 37 containing 5.01 MB] 2022-04-13 00:56:44 destination > 2022-04-13 00:56:44 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm71P...9OsA-2tIb]: Finished uploading [Part number 38 containing 5.01 MB] 2022-04-13 00:56:44 destination > 2022-04-13 00:56:44 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm71P...9OsA-2tIb]: Finished uploading [Part number 39 containing 9.72 MB] 2022-04-13 00:56:44 destination > 2022-04-13 00:56:44 INFO a.m.s.StreamTransferManager(complete):395 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro with id ABPnzm71P...9OsA-2tIb]: Completed 2022-04-13 00:56:44 destination > 2022-04-13 00:56:44 INFO i.a.i.d.s.S3StorageOperations(loadDataIntoBucket):161 - Uploaded buffer file to storage: 0ca17da5-a754-4107-8942-7ee3805ca54616476622798687514966.avro -> product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro (filename: 5.avro) 2022-04-13 00:56:44 destination > 2022-04-13 00:56:44 INFO i.a.i.d.b.BigQueryWriteConfig(addStagedFile):53 - Added staged file: 5.avro 2022-04-13 00:56:44 destination > 2022-04-13 00:56:44 INFO i.a.i.d.r.FileBuffer(deleteFile):81 - Deleting tempFile data 0ca17da5-a754-4107-8942-7ee3805ca54616476622798687514966.avro 2022-04-13 00:56:44 destination > 2022-04-13 00:56:44 INFO i.a.i.d.r.SerializedBufferingStrategy(lambda$addRecord$0):55 - Starting a new buffer for stream engagements_emails (current state: 173 MB in 1 buffers) 2022-04-13 00:56:44 destination > 2022-04-13 00:56:44 INFO i.a.i.d.g.u.GcsUtils(getDefaultAvroSchema):25 - Default schema. 2022-04-13 00:57:38 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5680000 (5 GB) 2022-04-13 00:57:45 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5681000 (5 GB) 2022-04-13 00:57:52 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5682000 (5 GB) 2022-04-13 00:57:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5683000 (5 GB) 2022-04-13 00:58:04 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5684000 (5 GB) 2022-04-13 00:58:11 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5685000 (5 GB) 2022-04-13 00:58:17 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5686000 (5 GB) 2022-04-13 00:58:23 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5687000 (5 GB) 2022-04-13 00:58:30 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5688000 (5 GB) 2022-04-13 00:57:46 destination > 2022-04-13 00:57:46 INFO i.a.i.d.r.SerializedBufferingStrategy(flushWriter):82 - Flushing buffer of stream engagements_emails (200 MB) 2022-04-13 00:57:46 destination > 2022-04-13 00:57:46 INFO i.a.i.d.b.BigQueryStagingConsumerFactory(lambda$flushBufferFunction$4):115 - Flushing buffer for stream engagements_emails (200 MB) to staging 2022-04-13 00:57:46 destination > 2022-04-13 00:57:46 INFO i.a.i.d.r.BaseSerializedBuffer(flush):138 - Finished writing data to a2d194e4-9bbf-4109-b679-1c211ee64d6b363951639039714399.avro (200 MB) 2022-04-13 00:57:46 destination > 2022-04-13 00:57:46 INFO i.a.i.d.b.BigQueryGcsOperations(uploadRecordsToStage):108 - Uploading records to staging for stream engagements_emails (dataset hubspot_): product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-13 00:57:46 destination > 2022-04-13 00:57:46 INFO i.a.i.d.s.u.StreamTransferManagerHelper(getDefault):55 - PartSize arg is set to 5 MB 2022-04-13 00:57:46 destination > 2022-04-13 00:57:46 INFO a.m.s.StreamTransferManager(getMultiPartOutputStreams):329 - Initiated multipart upload to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro with full ID ABPnzm7C29yXcJQghg5EEPrAvCLeDeWUqdKcsYNsEBBlXxnb6Ny4eoUur7R5udBCtX8rfLfq 2022-04-13 00:57:47 destination > 2022-04-13 00:57:47 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro with id ABPnzm7C2...CtX8rfLfq]: Finished uploading [Part number 2 containing 5.01 MB] 2022-04-13 00:57:47 destination > 2022-04-13 00:57:47 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro with id ABPnzm7C2...CtX8rfLfq]: Finished uploading [Part number 1 containing 5.01 MB] 2022-04-13 00:57:47 destination > 2022-04-13 00:57:47 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro with id ABPnzm7C2...CtX8rfLfq]: Finished uploading [Part number 5 containing 5.01 MB] 2022-04-13 00:57:47 destination > 2022-04-13 00:57:47 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro with id ABPnzm7C2...CtX8rfLfq]: Finished uploading [Part number 9 containing 5.01 MB] 2022-04-13 00:57:47 destination > 2022-04-13 00:57:47 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro with id ABPnzm7C2...CtX8rfLfq]: Finished uploading [Part number 11 containing 5.01 MB] 2022-04-13 00:57:47 destination > 2022-04-13 00:57:47 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro with id ABPnzm7C2...CtX8rfLfq]: Finished uploading [Part number 3 containing 5.01 MB] 2022-04-13 00:57:47 destination > 2022-04-13 00:57:47 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro with id ABPnzm7C2...CtX8rfLfq]: Finished uploading [Part number 8 containing 5.01 MB] 2022-04-13 00:57:47 destination > 2022-04-13 00:57:47 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro with id ABPnzm7C2...CtX8rfLfq]: Finished uploading [Part number 6 containing 5.01 MB] 2022-04-13 00:57:47 destination > 2022-04-13 00:57:47 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro with id ABPnzm7C2...CtX8rfLfq]: Finished uploading [Part number 12 containing 5.01 MB] 2022-04-13 00:57:47 destination > 2022-04-13 00:57:47 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro with id ABPnzm7C2...CtX8rfLfq]: Finished uploading [Part number 4 containing 5.01 MB] 2022-04-13 00:57:47 destination > 2022-04-13 00:57:47 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro with id ABPnzm7C2...CtX8rfLfq]: Finished uploading [Part number 7 containing 5.01 MB] 2022-04-13 00:57:47 destination > 2022-04-13 00:57:47 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro with id ABPnzm7C2...CtX8rfLfq]: Finished uploading [Part number 10 containing 5.01 MB] 2022-04-13 00:57:47 destination > 2022-04-13 00:57:47 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro with id ABPnzm7C2...CtX8rfLfq]: Finished uploading [Part number 14 containing 5.01 MB] 2022-04-13 00:57:47 destination > 2022-04-13 00:57:47 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro with id ABPnzm7C2...CtX8rfLfq]: Finished uploading [Part number 17 containing 5.01 MB] 2022-04-13 00:57:47 destination > 2022-04-13 00:57:47 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro with id ABPnzm7C2...CtX8rfLfq]: Finished uploading [Part number 20 containing 5.01 MB] 2022-04-13 00:57:47 destination > 2022-04-13 00:57:47 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro with id ABPnzm7C2...CtX8rfLfq]: Finished uploading [Part number 16 containing 5.01 MB] 2022-04-13 00:57:47 destination > 2022-04-13 00:57:47 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro with id ABPnzm7C2...CtX8rfLfq]: Finished uploading [Part number 13 containing 5.01 MB] 2022-04-13 00:57:47 destination > 2022-04-13 00:57:47 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro with id ABPnzm7C2...CtX8rfLfq]: Finished uploading [Part number 15 containing 5.01 MB] 2022-04-13 00:57:47 destination > 2022-04-13 00:57:47 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro with id ABPnzm7C2...CtX8rfLfq]: Finished uploading [Part number 21 containing 5.01 MB] 2022-04-13 00:57:47 destination > 2022-04-13 00:57:47 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro with id ABPnzm7C2...CtX8rfLfq]: Finished uploading [Part number 19 containing 5.01 MB] 2022-04-13 00:57:47 destination > 2022-04-13 00:57:47 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro with id ABPnzm7C2...CtX8rfLfq]: Finished uploading [Part number 18 containing 5.01 MB] 2022-04-13 00:57:47 destination > 2022-04-13 00:57:47 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro with id ABPnzm7C2...CtX8rfLfq]: Finished uploading [Part number 22 containing 5.01 MB] 2022-04-13 00:57:47 destination > 2022-04-13 00:57:47 INFO a.m.s.MultiPartOutputStream(close):158 - Called close() on [MultipartOutputStream for parts 1 - 10000] 2022-04-13 00:57:47 destination > 2022-04-13 00:57:47 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro with id ABPnzm7C2...CtX8rfLfq]: Finished uploading [Part number 25 containing 5.01 MB] 2022-04-13 00:57:47 destination > 2022-04-13 00:57:47 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro with id ABPnzm7C2...CtX8rfLfq]: Finished uploading [Part number 24 containing 5.01 MB] 2022-04-13 00:57:47 destination > 2022-04-13 00:57:47 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro with id ABPnzm7C2...CtX8rfLfq]: Finished uploading [Part number 26 containing 5.01 MB] 2022-04-13 00:57:47 destination > 2022-04-13 00:57:47 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro with id ABPnzm7C2...CtX8rfLfq]: Finished uploading [Part number 32 containing 5.01 MB] 2022-04-13 00:57:47 destination > 2022-04-13 00:57:47 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro with id ABPnzm7C2...CtX8rfLfq]: Finished uploading [Part number 23 containing 5.01 MB] 2022-04-13 00:57:47 destination > 2022-04-13 00:57:47 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro with id ABPnzm7C2...CtX8rfLfq]: Finished uploading [Part number 30 containing 5.01 MB] 2022-04-13 00:57:47 destination > 2022-04-13 00:57:47 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro with id ABPnzm7C2...CtX8rfLfq]: Finished uploading [Part number 27 containing 5.01 MB] 2022-04-13 00:57:47 destination > 2022-04-13 00:57:47 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro with id ABPnzm7C2...CtX8rfLfq]: Finished uploading [Part number 29 containing 5.01 MB] 2022-04-13 00:57:47 destination > 2022-04-13 00:57:47 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro with id ABPnzm7C2...CtX8rfLfq]: Finished uploading [Part number 28 containing 5.01 MB] 2022-04-13 00:57:47 destination > 2022-04-13 00:57:47 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro with id ABPnzm7C2...CtX8rfLfq]: Finished uploading [Part number 31 containing 5.01 MB] 2022-04-13 00:57:47 destination > 2022-04-13 00:57:47 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro with id ABPnzm7C2...CtX8rfLfq]: Finished uploading [Part number 35 containing 5.01 MB] 2022-04-13 00:57:47 destination > 2022-04-13 00:57:47 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro with id ABPnzm7C2...CtX8rfLfq]: Finished uploading [Part number 34 containing 5.01 MB] 2022-04-13 00:57:47 destination > 2022-04-13 00:57:47 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro with id ABPnzm7C2...CtX8rfLfq]: Finished uploading [Part number 37 containing 5.01 MB] 2022-04-13 00:57:47 destination > 2022-04-13 00:57:47 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro with id ABPnzm7C2...CtX8rfLfq]: Finished uploading [Part number 33 containing 5.01 MB] 2022-04-13 00:57:47 destination > 2022-04-13 00:57:47 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro with id ABPnzm7C2...CtX8rfLfq]: Finished uploading [Part number 39 containing 9.71 MB] 2022-04-13 00:57:47 destination > 2022-04-13 00:57:47 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro with id ABPnzm7C2...CtX8rfLfq]: Finished uploading [Part number 38 containing 5.01 MB] 2022-04-13 00:57:47 destination > 2022-04-13 00:57:47 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro with id ABPnzm7C2...CtX8rfLfq]: Finished uploading [Part number 36 containing 5.01 MB] 2022-04-13 00:57:47 destination > 2022-04-13 00:57:47 INFO a.m.s.StreamTransferManager(complete):395 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro with id ABPnzm7C2...CtX8rfLfq]: Completed 2022-04-13 00:57:47 destination > 2022-04-13 00:57:47 INFO i.a.i.d.s.S3StorageOperations(loadDataIntoBucket):161 - Uploaded buffer file to storage: a2d194e4-9bbf-4109-b679-1c211ee64d6b363951639039714399.avro -> product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro (filename: 6.avro) 2022-04-13 00:57:47 destination > 2022-04-13 00:57:47 INFO i.a.i.d.b.BigQueryWriteConfig(addStagedFile):53 - Added staged file: 6.avro 2022-04-13 00:57:47 destination > 2022-04-13 00:57:47 INFO i.a.i.d.r.FileBuffer(deleteFile):81 - Deleting tempFile data a2d194e4-9bbf-4109-b679-1c211ee64d6b363951639039714399.avro 2022-04-13 00:57:47 destination > 2022-04-13 00:57:47 INFO i.a.i.d.r.SerializedBufferingStrategy(lambda$addRecord$0):55 - Starting a new buffer for stream engagements_emails (current state: 173 MB in 1 buffers) 2022-04-13 00:57:47 destination > 2022-04-13 00:57:47 INFO i.a.i.d.g.u.GcsUtils(getDefaultAvroSchema):25 - Default schema. 2022-04-13 00:58:37 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5689000 (5 GB) 2022-04-13 00:58:45 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5690000 (5 GB) 2022-04-13 00:58:52 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5691000 (5 GB) 2022-04-13 00:58:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5692000 (5 GB) 2022-04-13 00:59:04 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5693000 (5 GB) 2022-04-13 00:59:11 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5694000 (5 GB) 2022-04-13 00:59:17 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5695000 (6 GB) 2022-04-13 00:59:23 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5696000 (6 GB) 2022-04-13 00:59:30 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5697000 (6 GB) 2022-04-13 00:58:56 destination > 2022-04-13 00:58:56 INFO i.a.i.d.r.SerializedBufferingStrategy(flushWriter):82 - Flushing buffer of stream engagements_emails (200 MB) 2022-04-13 00:58:56 destination > 2022-04-13 00:58:56 INFO i.a.i.d.b.BigQueryStagingConsumerFactory(lambda$flushBufferFunction$4):115 - Flushing buffer for stream engagements_emails (200 MB) to staging 2022-04-13 00:58:56 destination > 2022-04-13 00:58:56 INFO i.a.i.d.r.BaseSerializedBuffer(flush):138 - Finished writing data to 09e48247-7b46-4c11-b6c8-60a0587131d49279839595361426992.avro (200 MB) 2022-04-13 00:58:56 destination > 2022-04-13 00:58:56 INFO i.a.i.d.b.BigQueryGcsOperations(uploadRecordsToStage):108 - Uploading records to staging for stream engagements_emails (dataset hubspot_): product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-13 00:58:56 destination > 2022-04-13 00:58:56 INFO i.a.i.d.s.u.StreamTransferManagerHelper(getDefault):55 - PartSize arg is set to 5 MB 2022-04-13 00:58:56 destination > 2022-04-13 00:58:56 INFO a.m.s.StreamTransferManager(getMultiPartOutputStreams):329 - Initiated multipart upload to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/7.avro with full ID ABPnzm5Cng18BG2izVvPNH2Yv_38jdqzpLCB4dV-F57hXt-83DL97pyS-UuIv5k5zjW9y9I4 2022-04-13 00:58:57 destination > 2022-04-13 00:58:57 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/7.avro with id ABPnzm5Cn...5zjW9y9I4]: Finished uploading [Part number 1 containing 5.01 MB] 2022-04-13 00:58:57 destination > 2022-04-13 00:58:57 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/7.avro with id ABPnzm5Cn...5zjW9y9I4]: Finished uploading [Part number 4 containing 5.01 MB] 2022-04-13 00:58:57 destination > 2022-04-13 00:58:57 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/7.avro with id ABPnzm5Cn...5zjW9y9I4]: Finished uploading [Part number 2 containing 5.01 MB] 2022-04-13 00:58:57 destination > 2022-04-13 00:58:57 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/7.avro with id ABPnzm5Cn...5zjW9y9I4]: Finished uploading [Part number 5 containing 5.01 MB] 2022-04-13 00:58:57 destination > 2022-04-13 00:58:57 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/7.avro with id ABPnzm5Cn...5zjW9y9I4]: Finished uploading [Part number 3 containing 5.01 MB] 2022-04-13 00:58:57 destination > 2022-04-13 00:58:57 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/7.avro with id ABPnzm5Cn...5zjW9y9I4]: Finished uploading [Part number 7 containing 5.01 MB] 2022-04-13 00:58:57 destination > 2022-04-13 00:58:57 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/7.avro with id ABPnzm5Cn...5zjW9y9I4]: Finished uploading [Part number 8 containing 5.01 MB] 2022-04-13 00:58:57 destination > 2022-04-13 00:58:57 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/7.avro with id ABPnzm5Cn...5zjW9y9I4]: Finished uploading [Part number 6 containing 5.01 MB] 2022-04-13 00:58:57 destination > 2022-04-13 00:58:57 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/7.avro with id ABPnzm5Cn...5zjW9y9I4]: Finished uploading [Part number 10 containing 5.01 MB] 2022-04-13 00:58:57 destination > 2022-04-13 00:58:57 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/7.avro with id ABPnzm5Cn...5zjW9y9I4]: Finished uploading [Part number 9 containing 5.01 MB] 2022-04-13 00:58:57 destination > 2022-04-13 00:58:57 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/7.avro with id ABPnzm5Cn...5zjW9y9I4]: Finished uploading [Part number 12 containing 5.01 MB] 2022-04-13 00:58:57 destination > 2022-04-13 00:58:57 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/7.avro with id ABPnzm5Cn...5zjW9y9I4]: Finished uploading [Part number 11 containing 5.01 MB] 2022-04-13 00:58:57 destination > 2022-04-13 00:58:57 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/7.avro with id ABPnzm5Cn...5zjW9y9I4]: Finished uploading [Part number 13 containing 5.01 MB] 2022-04-13 00:58:57 destination > 2022-04-13 00:58:57 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/7.avro with id ABPnzm5Cn...5zjW9y9I4]: Finished uploading [Part number 15 containing 5.01 MB] 2022-04-13 00:58:57 destination > 2022-04-13 00:58:57 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/7.avro with id ABPnzm5Cn...5zjW9y9I4]: Finished uploading [Part number 18 containing 5.01 MB] 2022-04-13 00:58:57 destination > 2022-04-13 00:58:57 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/7.avro with id ABPnzm5Cn...5zjW9y9I4]: Finished uploading [Part number 16 containing 5.01 MB] 2022-04-13 00:58:57 destination > 2022-04-13 00:58:57 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/7.avro with id ABPnzm5Cn...5zjW9y9I4]: Finished uploading [Part number 17 containing 5.01 MB] 2022-04-13 00:58:57 destination > 2022-04-13 00:58:57 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/7.avro with id ABPnzm5Cn...5zjW9y9I4]: Finished uploading [Part number 14 containing 5.01 MB] 2022-04-13 00:58:57 destination > 2022-04-13 00:58:57 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/7.avro with id ABPnzm5Cn...5zjW9y9I4]: Finished uploading [Part number 19 containing 5.01 MB] 2022-04-13 00:58:57 destination > 2022-04-13 00:58:57 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/7.avro with id ABPnzm5Cn...5zjW9y9I4]: Finished uploading [Part number 21 containing 5.01 MB] 2022-04-13 00:58:57 destination > 2022-04-13 00:58:57 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/7.avro with id ABPnzm5Cn...5zjW9y9I4]: Finished uploading [Part number 23 containing 5.01 MB] 2022-04-13 00:58:57 destination > 2022-04-13 00:58:57 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/7.avro with id ABPnzm5Cn...5zjW9y9I4]: Finished uploading [Part number 20 containing 5.01 MB] 2022-04-13 00:58:57 destination > 2022-04-13 00:58:57 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/7.avro with id ABPnzm5Cn...5zjW9y9I4]: Finished uploading [Part number 22 containing 5.01 MB] 2022-04-13 00:58:57 destination > 2022-04-13 00:58:57 INFO a.m.s.MultiPartOutputStream(close):158 - Called close() on [MultipartOutputStream for parts 1 - 10000] 2022-04-13 00:58:57 destination > 2022-04-13 00:58:57 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/7.avro with id ABPnzm5Cn...5zjW9y9I4]: Finished uploading [Part number 27 containing 5.01 MB] 2022-04-13 00:58:57 destination > 2022-04-13 00:58:57 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/7.avro with id ABPnzm5Cn...5zjW9y9I4]: Finished uploading [Part number 25 containing 5.01 MB] 2022-04-13 00:58:57 destination > 2022-04-13 00:58:57 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/7.avro with id ABPnzm5Cn...5zjW9y9I4]: Finished uploading [Part number 24 containing 5.01 MB] 2022-04-13 00:58:57 destination > 2022-04-13 00:58:57 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/7.avro with id ABPnzm5Cn...5zjW9y9I4]: Finished uploading [Part number 28 containing 5.01 MB] 2022-04-13 00:58:57 destination > 2022-04-13 00:58:57 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/7.avro with id ABPnzm5Cn...5zjW9y9I4]: Finished uploading [Part number 26 containing 5.01 MB] 2022-04-13 00:58:57 destination > 2022-04-13 00:58:57 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/7.avro with id ABPnzm5Cn...5zjW9y9I4]: Finished uploading [Part number 30 containing 5.01 MB] 2022-04-13 00:58:57 destination > 2022-04-13 00:58:57 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/7.avro with id ABPnzm5Cn...5zjW9y9I4]: Finished uploading [Part number 33 containing 5.01 MB] 2022-04-13 00:58:57 destination > 2022-04-13 00:58:57 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/7.avro with id ABPnzm5Cn...5zjW9y9I4]: Finished uploading [Part number 32 containing 5.01 MB] 2022-04-13 00:58:57 destination > 2022-04-13 00:58:57 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/7.avro with id ABPnzm5Cn...5zjW9y9I4]: Finished uploading [Part number 29 containing 5.01 MB] 2022-04-13 00:58:57 destination > 2022-04-13 00:58:57 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/7.avro with id ABPnzm5Cn...5zjW9y9I4]: Finished uploading [Part number 31 containing 5.01 MB] 2022-04-13 00:58:57 destination > 2022-04-13 00:58:57 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/7.avro with id ABPnzm5Cn...5zjW9y9I4]: Finished uploading [Part number 36 containing 5.01 MB] 2022-04-13 00:58:57 destination > 2022-04-13 00:58:57 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/7.avro with id ABPnzm5Cn...5zjW9y9I4]: Finished uploading [Part number 34 containing 5.01 MB] 2022-04-13 00:58:57 destination > 2022-04-13 00:58:57 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/7.avro with id ABPnzm5Cn...5zjW9y9I4]: Finished uploading [Part number 38 containing 5.01 MB] 2022-04-13 00:58:57 destination > 2022-04-13 00:58:57 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/7.avro with id ABPnzm5Cn...5zjW9y9I4]: Finished uploading [Part number 37 containing 5.01 MB] 2022-04-13 00:58:57 destination > 2022-04-13 00:58:57 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/7.avro with id ABPnzm5Cn...5zjW9y9I4]: Finished uploading [Part number 35 containing 5.01 MB] 2022-04-13 00:58:57 destination > 2022-04-13 00:58:57 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/7.avro with id ABPnzm5Cn...5zjW9y9I4]: Finished uploading [Part number 39 containing 9.75 MB] 2022-04-13 00:58:57 destination > 2022-04-13 00:58:57 INFO a.m.s.StreamTransferManager(complete):395 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/7.avro with id ABPnzm5Cn...5zjW9y9I4]: Completed 2022-04-13 00:58:57 destination > 2022-04-13 00:58:57 INFO i.a.i.d.s.S3StorageOperations(loadDataIntoBucket):161 - Uploaded buffer file to storage: 09e48247-7b46-4c11-b6c8-60a0587131d49279839595361426992.avro -> product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/7.avro (filename: 7.avro) 2022-04-13 00:58:57 destination > 2022-04-13 00:58:57 INFO i.a.i.d.b.BigQueryWriteConfig(addStagedFile):53 - Added staged file: 7.avro 2022-04-13 00:58:57 destination > 2022-04-13 00:58:57 INFO i.a.i.d.r.FileBuffer(deleteFile):81 - Deleting tempFile data 09e48247-7b46-4c11-b6c8-60a0587131d49279839595361426992.avro 2022-04-13 00:58:57 destination > 2022-04-13 00:58:57 INFO i.a.i.d.r.SerializedBufferingStrategy(lambda$addRecord$0):55 - Starting a new buffer for stream engagements_emails (current state: 173 MB in 1 buffers) 2022-04-13 00:58:57 destination > 2022-04-13 00:58:57 INFO i.a.i.d.g.u.GcsUtils(getDefaultAvroSchema):25 - Default schema. 2022-04-13 00:59:38 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5698000 (6 GB) 2022-04-13 00:59:44 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5699000 (6 GB) 2022-04-13 00:59:50 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5700000 (6 GB) 2022-04-13 00:59:56 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5701000 (6 GB) 2022-04-13 01:00:03 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5702000 (6 GB) 2022-04-13 01:00:10 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5703000 (6 GB) 2022-04-13 01:00:16 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5704000 (6 GB) 2022-04-13 01:00:22 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5705000 (6 GB) 2022-04-13 01:00:30 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5706000 (6 GB) 2022-04-13 01:00:08 destination > 2022-04-13 01:00:08 INFO i.a.i.d.r.SerializedBufferingStrategy(flushWriter):82 - Flushing buffer of stream engagements_emails (200 MB) 2022-04-13 01:00:08 destination > 2022-04-13 01:00:08 INFO i.a.i.d.b.BigQueryStagingConsumerFactory(lambda$flushBufferFunction$4):115 - Flushing buffer for stream engagements_emails (200 MB) to staging 2022-04-13 01:00:08 destination > 2022-04-13 01:00:08 INFO i.a.i.d.r.BaseSerializedBuffer(flush):138 - Finished writing data to 2b19bd18-7832-4250-b9bc-d7291bfb048315016738446569755423.avro (200 MB) 2022-04-13 01:00:08 destination > 2022-04-13 01:00:08 INFO i.a.i.d.b.BigQueryGcsOperations(uploadRecordsToStage):108 - Uploading records to staging for stream engagements_emails (dataset hubspot_): product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-13 01:00:08 destination > 2022-04-13 01:00:08 INFO i.a.i.d.s.u.StreamTransferManagerHelper(getDefault):55 - PartSize arg is set to 5 MB 2022-04-13 01:00:08 destination > 2022-04-13 01:00:08 INFO a.m.s.StreamTransferManager(getMultiPartOutputStreams):329 - Initiated multipart upload to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/8.avro with full ID ABPnzm7FECD_TYTUfk0A3OgxMy-JDtVTFprlhfw3SJwiCNRIxulQUqmrqIWMoBNeCCERCiuo 2022-04-13 01:00:08 destination > 2022-04-13 01:00:08 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/8.avro with id ABPnzm7FE...eCCERCiuo]: Finished uploading [Part number 2 containing 5.01 MB] 2022-04-13 01:00:08 destination > 2022-04-13 01:00:08 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/8.avro with id ABPnzm7FE...eCCERCiuo]: Finished uploading [Part number 1 containing 5.01 MB] 2022-04-13 01:00:08 destination > 2022-04-13 01:00:08 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/8.avro with id ABPnzm7FE...eCCERCiuo]: Finished uploading [Part number 3 containing 5.01 MB] 2022-04-13 01:00:08 destination > 2022-04-13 01:00:08 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/8.avro with id ABPnzm7FE...eCCERCiuo]: Finished uploading [Part number 5 containing 5.01 MB] 2022-04-13 01:00:08 destination > 2022-04-13 01:00:08 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/8.avro with id ABPnzm7FE...eCCERCiuo]: Finished uploading [Part number 8 containing 5.01 MB] 2022-04-13 01:00:08 destination > 2022-04-13 01:00:08 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/8.avro with id ABPnzm7FE...eCCERCiuo]: Finished uploading [Part number 4 containing 5.01 MB] 2022-04-13 01:00:08 destination > 2022-04-13 01:00:08 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/8.avro with id ABPnzm7FE...eCCERCiuo]: Finished uploading [Part number 6 containing 5.01 MB] 2022-04-13 01:00:08 destination > 2022-04-13 01:00:08 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/8.avro with id ABPnzm7FE...eCCERCiuo]: Finished uploading [Part number 7 containing 5.01 MB] 2022-04-13 01:00:08 destination > 2022-04-13 01:00:08 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/8.avro with id ABPnzm7FE...eCCERCiuo]: Finished uploading [Part number 9 containing 5.01 MB] 2022-04-13 01:00:08 destination > 2022-04-13 01:00:08 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/8.avro with id ABPnzm7FE...eCCERCiuo]: Finished uploading [Part number 10 containing 5.01 MB] 2022-04-13 01:00:08 destination > 2022-04-13 01:00:08 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/8.avro with id ABPnzm7FE...eCCERCiuo]: Finished uploading [Part number 15 containing 5.01 MB] 2022-04-13 01:00:08 destination > 2022-04-13 01:00:08 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/8.avro with id ABPnzm7FE...eCCERCiuo]: Finished uploading [Part number 11 containing 5.01 MB] 2022-04-13 01:00:08 destination > 2022-04-13 01:00:08 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/8.avro with id ABPnzm7FE...eCCERCiuo]: Finished uploading [Part number 16 containing 5.01 MB] 2022-04-13 01:00:08 destination > 2022-04-13 01:00:08 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/8.avro with id ABPnzm7FE...eCCERCiuo]: Finished uploading [Part number 17 containing 5.01 MB] 2022-04-13 01:00:08 destination > 2022-04-13 01:00:08 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/8.avro with id ABPnzm7FE...eCCERCiuo]: Finished uploading [Part number 13 containing 5.01 MB] 2022-04-13 01:00:08 destination > 2022-04-13 01:00:08 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/8.avro with id ABPnzm7FE...eCCERCiuo]: Finished uploading [Part number 12 containing 5.01 MB] 2022-04-13 01:00:08 destination > 2022-04-13 01:00:08 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/8.avro with id ABPnzm7FE...eCCERCiuo]: Finished uploading [Part number 18 containing 5.01 MB] 2022-04-13 01:00:08 destination > 2022-04-13 01:00:08 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/8.avro with id ABPnzm7FE...eCCERCiuo]: Finished uploading [Part number 14 containing 5.01 MB] 2022-04-13 01:00:09 destination > 2022-04-13 01:00:09 INFO a.m.s.MultiPartOutputStream(close):158 - Called close() on [MultipartOutputStream for parts 1 - 10000] 2022-04-13 01:00:09 destination > 2022-04-13 01:00:09 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/8.avro with id ABPnzm7FE...eCCERCiuo]: Finished uploading [Part number 20 containing 5.01 MB] 2022-04-13 01:00:09 destination > 2022-04-13 01:00:09 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/8.avro with id ABPnzm7FE...eCCERCiuo]: Finished uploading [Part number 22 containing 5.01 MB] 2022-04-13 01:00:09 destination > 2022-04-13 01:00:09 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/8.avro with id ABPnzm7FE...eCCERCiuo]: Finished uploading [Part number 25 containing 5.01 MB] 2022-04-13 01:00:09 destination > 2022-04-13 01:00:09 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/8.avro with id ABPnzm7FE...eCCERCiuo]: Finished uploading [Part number 26 containing 5.01 MB] 2022-04-13 01:00:09 destination > 2022-04-13 01:00:09 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/8.avro with id ABPnzm7FE...eCCERCiuo]: Finished uploading [Part number 28 containing 5.01 MB] 2022-04-13 01:00:09 destination > 2022-04-13 01:00:09 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/8.avro with id ABPnzm7FE...eCCERCiuo]: Finished uploading [Part number 24 containing 5.01 MB] 2022-04-13 01:00:09 destination > 2022-04-13 01:00:09 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/8.avro with id ABPnzm7FE...eCCERCiuo]: Finished uploading [Part number 23 containing 5.01 MB] 2022-04-13 01:00:09 destination > 2022-04-13 01:00:09 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/8.avro with id ABPnzm7FE...eCCERCiuo]: Finished uploading [Part number 21 containing 5.01 MB] 2022-04-13 01:00:09 destination > 2022-04-13 01:00:09 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/8.avro with id ABPnzm7FE...eCCERCiuo]: Finished uploading [Part number 19 containing 5.01 MB] 2022-04-13 01:00:09 destination > 2022-04-13 01:00:09 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/8.avro with id ABPnzm7FE...eCCERCiuo]: Finished uploading [Part number 27 containing 5.01 MB] 2022-04-13 01:00:09 destination > 2022-04-13 01:00:09 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/8.avro with id ABPnzm7FE...eCCERCiuo]: Finished uploading [Part number 29 containing 5.01 MB] 2022-04-13 01:00:09 destination > 2022-04-13 01:00:09 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/8.avro with id ABPnzm7FE...eCCERCiuo]: Finished uploading [Part number 30 containing 5.01 MB] 2022-04-13 01:00:09 destination > 2022-04-13 01:00:09 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/8.avro with id ABPnzm7FE...eCCERCiuo]: Finished uploading [Part number 31 containing 5.01 MB] 2022-04-13 01:00:09 destination > 2022-04-13 01:00:09 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/8.avro with id ABPnzm7FE...eCCERCiuo]: Finished uploading [Part number 32 containing 5.01 MB] 2022-04-13 01:00:09 destination > 2022-04-13 01:00:09 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/8.avro with id ABPnzm7FE...eCCERCiuo]: Finished uploading [Part number 36 containing 5.01 MB] 2022-04-13 01:00:09 destination > 2022-04-13 01:00:09 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/8.avro with id ABPnzm7FE...eCCERCiuo]: Finished uploading [Part number 33 containing 5.01 MB] 2022-04-13 01:00:09 destination > 2022-04-13 01:00:09 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/8.avro with id ABPnzm7FE...eCCERCiuo]: Finished uploading [Part number 38 containing 5.01 MB] 2022-04-13 01:00:09 destination > 2022-04-13 01:00:09 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/8.avro with id ABPnzm7FE...eCCERCiuo]: Finished uploading [Part number 35 containing 5.01 MB] 2022-04-13 01:00:09 destination > 2022-04-13 01:00:09 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/8.avro with id ABPnzm7FE...eCCERCiuo]: Finished uploading [Part number 34 containing 5.01 MB] 2022-04-13 01:00:09 destination > 2022-04-13 01:00:09 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/8.avro with id ABPnzm7FE...eCCERCiuo]: Finished uploading [Part number 39 containing 9.71 MB] 2022-04-13 01:00:09 destination > 2022-04-13 01:00:09 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/8.avro with id ABPnzm7FE...eCCERCiuo]: Finished uploading [Part number 37 containing 5.01 MB] 2022-04-13 01:00:09 destination > 2022-04-13 01:00:09 INFO a.m.s.StreamTransferManager(complete):395 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/8.avro with id ABPnzm7FE...eCCERCiuo]: Completed 2022-04-13 01:00:09 destination > 2022-04-13 01:00:09 INFO i.a.i.d.s.S3StorageOperations(loadDataIntoBucket):161 - Uploaded buffer file to storage: 2b19bd18-7832-4250-b9bc-d7291bfb048315016738446569755423.avro -> product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/8.avro (filename: 8.avro) 2022-04-13 01:00:09 destination > 2022-04-13 01:00:09 INFO i.a.i.d.b.BigQueryWriteConfig(addStagedFile):53 - Added staged file: 8.avro 2022-04-13 01:00:09 destination > 2022-04-13 01:00:09 INFO i.a.i.d.r.FileBuffer(deleteFile):81 - Deleting tempFile data 2b19bd18-7832-4250-b9bc-d7291bfb048315016738446569755423.avro 2022-04-13 01:00:09 destination > 2022-04-13 01:00:09 INFO i.a.i.d.r.SerializedBufferingStrategy(lambda$addRecord$0):55 - Starting a new buffer for stream engagements_emails (current state: 173 MB in 1 buffers) 2022-04-13 01:00:09 destination > 2022-04-13 01:00:09 INFO i.a.i.d.g.u.GcsUtils(getDefaultAvroSchema):25 - Default schema. 2022-04-13 01:00:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5707000 (6 GB) 2022-04-13 01:00:44 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5708000 (6 GB) 2022-04-13 01:00:50 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5709000 (6 GB) 2022-04-13 01:00:56 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5710000 (6 GB) 2022-04-13 01:01:02 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5711000 (6 GB) 2022-04-13 01:01:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5712000 (6 GB) 2022-04-13 01:01:15 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5713000 (6 GB) 2022-04-13 01:01:23 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5714000 (6 GB) 2022-04-13 01:01:29 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5715000 (6 GB) 2022-04-13 01:01:27 destination > 2022-04-13 01:01:27 INFO i.a.i.d.r.SerializedBufferingStrategy(flushWriter):82 - Flushing buffer of stream engagements_emails (200 MB) 2022-04-13 01:01:27 destination > 2022-04-13 01:01:27 INFO i.a.i.d.b.BigQueryStagingConsumerFactory(lambda$flushBufferFunction$4):115 - Flushing buffer for stream engagements_emails (200 MB) to staging 2022-04-13 01:01:27 destination > 2022-04-13 01:01:27 INFO i.a.i.d.r.BaseSerializedBuffer(flush):138 - Finished writing data to 96d71ae8-eb13-4c81-a566-b5a56e12cf1a12612217289973313077.avro (200 MB) 2022-04-13 01:01:27 destination > 2022-04-13 01:01:27 INFO i.a.i.d.b.BigQueryGcsOperations(uploadRecordsToStage):108 - Uploading records to staging for stream engagements_emails (dataset hubspot_): product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-13 01:01:27 destination > 2022-04-13 01:01:27 INFO i.a.i.d.s.u.StreamTransferManagerHelper(getDefault):55 - PartSize arg is set to 5 MB 2022-04-13 01:01:27 destination > 2022-04-13 01:01:27 INFO a.m.s.StreamTransferManager(getMultiPartOutputStreams):329 - Initiated multipart upload to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/9.avro with full ID ABPnzm7a7bYoIynPpIKgCRizFJlCcCytft9Bob_BrxQtEE4i0SpsOrlwmr9YsOgbiX9kSJyZ 2022-04-13 01:01:27 destination > 2022-04-13 01:01:27 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/9.avro with id ABPnzm7a7...biX9kSJyZ]: Finished uploading [Part number 1 containing 5.01 MB] 2022-04-13 01:01:27 destination > 2022-04-13 01:01:27 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/9.avro with id ABPnzm7a7...biX9kSJyZ]: Finished uploading [Part number 4 containing 5.01 MB] 2022-04-13 01:01:27 destination > 2022-04-13 01:01:27 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/9.avro with id ABPnzm7a7...biX9kSJyZ]: Finished uploading [Part number 3 containing 5.01 MB] 2022-04-13 01:01:27 destination > 2022-04-13 01:01:27 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/9.avro with id ABPnzm7a7...biX9kSJyZ]: Finished uploading [Part number 2 containing 5.01 MB] 2022-04-13 01:01:27 destination > 2022-04-13 01:01:27 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/9.avro with id ABPnzm7a7...biX9kSJyZ]: Finished uploading [Part number 7 containing 5.01 MB] 2022-04-13 01:01:27 destination > 2022-04-13 01:01:27 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/9.avro with id ABPnzm7a7...biX9kSJyZ]: Finished uploading [Part number 6 containing 5.01 MB] 2022-04-13 01:01:27 destination > 2022-04-13 01:01:27 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/9.avro with id ABPnzm7a7...biX9kSJyZ]: Finished uploading [Part number 9 containing 5.01 MB] 2022-04-13 01:01:27 destination > 2022-04-13 01:01:27 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/9.avro with id ABPnzm7a7...biX9kSJyZ]: Finished uploading [Part number 8 containing 5.01 MB] 2022-04-13 01:01:27 destination > 2022-04-13 01:01:27 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/9.avro with id ABPnzm7a7...biX9kSJyZ]: Finished uploading [Part number 12 containing 5.01 MB] 2022-04-13 01:01:27 destination > 2022-04-13 01:01:27 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/9.avro with id ABPnzm7a7...biX9kSJyZ]: Finished uploading [Part number 10 containing 5.01 MB] 2022-04-13 01:01:27 destination > 2022-04-13 01:01:27 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/9.avro with id ABPnzm7a7...biX9kSJyZ]: Finished uploading [Part number 11 containing 5.01 MB] 2022-04-13 01:01:27 destination > 2022-04-13 01:01:27 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/9.avro with id ABPnzm7a7...biX9kSJyZ]: Finished uploading [Part number 14 containing 5.01 MB] 2022-04-13 01:01:27 destination > 2022-04-13 01:01:27 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/9.avro with id ABPnzm7a7...biX9kSJyZ]: Finished uploading [Part number 13 containing 5.01 MB] 2022-04-13 01:01:27 destination > 2022-04-13 01:01:27 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/9.avro with id ABPnzm7a7...biX9kSJyZ]: Finished uploading [Part number 5 containing 5.01 MB] 2022-04-13 01:01:27 destination > 2022-04-13 01:01:27 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/9.avro with id ABPnzm7a7...biX9kSJyZ]: Finished uploading [Part number 16 containing 5.01 MB] 2022-04-13 01:01:27 destination > 2022-04-13 01:01:27 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/9.avro with id ABPnzm7a7...biX9kSJyZ]: Finished uploading [Part number 15 containing 5.01 MB] 2022-04-13 01:01:27 destination > 2022-04-13 01:01:27 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/9.avro with id ABPnzm7a7...biX9kSJyZ]: Finished uploading [Part number 17 containing 5.01 MB] 2022-04-13 01:01:27 destination > 2022-04-13 01:01:27 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/9.avro with id ABPnzm7a7...biX9kSJyZ]: Finished uploading [Part number 19 containing 5.01 MB] 2022-04-13 01:01:27 destination > 2022-04-13 01:01:27 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/9.avro with id ABPnzm7a7...biX9kSJyZ]: Finished uploading [Part number 18 containing 5.01 MB] 2022-04-13 01:01:27 destination > 2022-04-13 01:01:27 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/9.avro with id ABPnzm7a7...biX9kSJyZ]: Finished uploading [Part number 22 containing 5.01 MB] 2022-04-13 01:01:27 destination > 2022-04-13 01:01:27 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/9.avro with id ABPnzm7a7...biX9kSJyZ]: Finished uploading [Part number 21 containing 5.01 MB] 2022-04-13 01:01:27 destination > 2022-04-13 01:01:27 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/9.avro with id ABPnzm7a7...biX9kSJyZ]: Finished uploading [Part number 23 containing 5.01 MB] 2022-04-13 01:01:27 destination > 2022-04-13 01:01:27 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/9.avro with id ABPnzm7a7...biX9kSJyZ]: Finished uploading [Part number 24 containing 5.01 MB] 2022-04-13 01:01:27 destination > 2022-04-13 01:01:27 INFO a.m.s.MultiPartOutputStream(close):158 - Called close() on [MultipartOutputStream for parts 1 - 10000] 2022-04-13 01:01:27 destination > 2022-04-13 01:01:27 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/9.avro with id ABPnzm7a7...biX9kSJyZ]: Finished uploading [Part number 20 containing 5.01 MB] 2022-04-13 01:01:27 destination > 2022-04-13 01:01:27 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/9.avro with id ABPnzm7a7...biX9kSJyZ]: Finished uploading [Part number 25 containing 5.01 MB] 2022-04-13 01:01:27 destination > 2022-04-13 01:01:27 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/9.avro with id ABPnzm7a7...biX9kSJyZ]: Finished uploading [Part number 26 containing 5.01 MB] 2022-04-13 01:01:27 destination > 2022-04-13 01:01:27 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/9.avro with id ABPnzm7a7...biX9kSJyZ]: Finished uploading [Part number 27 containing 5.01 MB] 2022-04-13 01:01:28 destination > 2022-04-13 01:01:28 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/9.avro with id ABPnzm7a7...biX9kSJyZ]: Finished uploading [Part number 29 containing 5.01 MB] 2022-04-13 01:01:28 destination > 2022-04-13 01:01:28 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/9.avro with id ABPnzm7a7...biX9kSJyZ]: Finished uploading [Part number 33 containing 5.01 MB] 2022-04-13 01:01:28 destination > 2022-04-13 01:01:28 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/9.avro with id ABPnzm7a7...biX9kSJyZ]: Finished uploading [Part number 32 containing 5.01 MB] 2022-04-13 01:01:28 destination > 2022-04-13 01:01:28 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/9.avro with id ABPnzm7a7...biX9kSJyZ]: Finished uploading [Part number 31 containing 5.01 MB] 2022-04-13 01:01:28 destination > 2022-04-13 01:01:28 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/9.avro with id ABPnzm7a7...biX9kSJyZ]: Finished uploading [Part number 34 containing 5.01 MB] 2022-04-13 01:01:28 destination > 2022-04-13 01:01:28 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/9.avro with id ABPnzm7a7...biX9kSJyZ]: Finished uploading [Part number 28 containing 5.01 MB] 2022-04-13 01:01:28 destination > 2022-04-13 01:01:28 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/9.avro with id ABPnzm7a7...biX9kSJyZ]: Finished uploading [Part number 35 containing 5.01 MB] 2022-04-13 01:01:28 destination > 2022-04-13 01:01:28 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/9.avro with id ABPnzm7a7...biX9kSJyZ]: Finished uploading [Part number 36 containing 5.01 MB] 2022-04-13 01:01:28 destination > 2022-04-13 01:01:28 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/9.avro with id ABPnzm7a7...biX9kSJyZ]: Finished uploading [Part number 30 containing 5.01 MB] 2022-04-13 01:01:28 destination > 2022-04-13 01:01:28 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/9.avro with id ABPnzm7a7...biX9kSJyZ]: Finished uploading [Part number 37 containing 5.01 MB] 2022-04-13 01:01:28 destination > 2022-04-13 01:01:28 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/9.avro with id ABPnzm7a7...biX9kSJyZ]: Finished uploading [Part number 38 containing 5.01 MB] 2022-04-13 01:01:28 destination > 2022-04-13 01:01:28 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/9.avro with id ABPnzm7a7...biX9kSJyZ]: Finished uploading [Part number 39 containing 9.75 MB] 2022-04-13 01:01:28 destination > 2022-04-13 01:01:28 INFO a.m.s.StreamTransferManager(complete):395 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/9.avro with id ABPnzm7a7...biX9kSJyZ]: Completed 2022-04-13 01:01:28 destination > 2022-04-13 01:01:28 INFO i.a.i.d.s.S3StorageOperations(loadDataIntoBucket):161 - Uploaded buffer file to storage: 96d71ae8-eb13-4c81-a566-b5a56e12cf1a12612217289973313077.avro -> product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/9.avro (filename: 9.avro) 2022-04-13 01:01:28 destination > 2022-04-13 01:01:28 INFO i.a.i.d.b.BigQueryWriteConfig(addStagedFile):53 - Added staged file: 9.avro 2022-04-13 01:01:28 destination > 2022-04-13 01:01:28 INFO i.a.i.d.r.FileBuffer(deleteFile):81 - Deleting tempFile data 96d71ae8-eb13-4c81-a566-b5a56e12cf1a12612217289973313077.avro 2022-04-13 01:01:28 destination > 2022-04-13 01:01:28 INFO i.a.i.d.r.SerializedBufferingStrategy(lambda$addRecord$0):55 - Starting a new buffer for stream engagements_emails (current state: 173 MB in 1 buffers) 2022-04-13 01:01:28 destination > 2022-04-13 01:01:28 INFO i.a.i.d.g.u.GcsUtils(getDefaultAvroSchema):25 - Default schema. 2022-04-13 01:01:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5716000 (6 GB) 2022-04-13 01:01:43 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5717000 (6 GB) 2022-04-13 01:01:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5718000 (6 GB) 2022-04-13 01:01:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5719000 (6 GB) 2022-04-13 01:02:01 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5720000 (6 GB) 2022-04-13 01:02:08 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5721000 (6 GB) 2022-04-13 01:02:14 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5722000 (6 GB) 2022-04-13 01:02:20 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5723000 (6 GB) 2022-04-13 01:02:25 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5724000 (6 GB) 2022-04-13 01:02:31 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5725000 (6 GB) 2022-04-13 01:02:12 source > Advancing bookmark for engagements_emails stream from None to 2022-04-13T01:01:23.096000+00:00 2022-04-13 01:02:12 source > Read 108209 records from engagements_emails stream 2022-04-13 01:02:12 source > Finished syncing SourceHubspot 2022-04-13 01:02:12 source > SourceHubspot runtimes: 2022-04-13 01:02:12 source > Syncing stream: engagements_meetings 2022-04-13 01:02:13 destination > 2022-04-13 01:02:13 INFO i.a.i.d.r.SerializedBufferingStrategy(lambda$addRecord$0):55 - Starting a new buffer for stream engagements_meetings (current state: 291 MB in 2 buffers) 2022-04-13 01:02:13 destination > 2022-04-13 01:02:13 INFO i.a.i.d.g.u.GcsUtils(getDefaultAvroSchema):25 - Default schema. 2022-04-13 01:02:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5726000 (6 GB) 2022-04-13 01:02:42 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5727000 (6 GB) 2022-04-13 01:02:47 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5728000 (6 GB) 2022-04-13 01:02:52 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5729000 (6 GB) 2022-04-13 01:02:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5730000 (6 GB) 2022-04-13 01:03:03 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5731000 (6 GB) 2022-04-13 01:03:08 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5732000 (6 GB) 2022-04-13 01:03:13 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5733000 (6 GB) 2022-04-13 01:03:17 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5734000 (6 GB) 2022-04-13 01:03:22 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5735000 (6 GB) 2022-04-13 01:03:27 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5736000 (6 GB) 2022-04-13 01:03:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5737000 (6 GB) 2022-04-13 01:02:45 source > Advancing bookmark for engagements_meetings stream from None to 2022-04-12T18:42:03.842000+00:00 2022-04-13 01:02:45 source > Read 6096 records from engagements_meetings stream 2022-04-13 01:02:45 source > Finished syncing SourceHubspot 2022-04-13 01:02:45 source > SourceHubspot runtimes: 2022-04-13 01:02:45 source > Syncing stream: engagements_notes 2022-04-13 01:02:46 destination > 2022-04-13 01:02:46 INFO i.a.i.d.r.SerializedBufferingStrategy(lambda$addRecord$0):55 - Starting a new buffer for stream engagements_notes (current state: 310 MB in 3 buffers) 2022-04-13 01:02:46 destination > 2022-04-13 01:02:46 INFO i.a.i.d.g.u.GcsUtils(getDefaultAvroSchema):25 - Default schema. 2022-04-13 01:03:37 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5738000 (6 GB) 2022-04-13 01:03:42 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5739000 (6 GB) 2022-04-13 01:03:47 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5740000 (6 GB) 2022-04-13 01:03:52 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5741000 (6 GB) 2022-04-13 01:03:56 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5742000 (6 GB) 2022-04-13 01:04:01 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5743000 (6 GB) 2022-04-13 01:04:06 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5744000 (6 GB) 2022-04-13 01:04:11 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5745000 (6 GB) 2022-04-13 01:04:16 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5746000 (6 GB) 2022-04-13 01:04:20 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5747000 (6 GB) 2022-04-13 01:04:25 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5748000 (6 GB) 2022-04-13 01:04:30 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5749000 (6 GB) 2022-04-13 01:04:34 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5750000 (6 GB) 2022-04-13 01:04:39 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5751000 (6 GB) 2022-04-13 01:04:44 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5752000 (6 GB) 2022-04-13 01:04:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5753000 (6 GB) 2022-04-13 01:04:54 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5754000 (6 GB) 2022-04-13 01:04:59 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5755000 (6 GB) 2022-04-13 01:05:04 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5756000 (6 GB) 2022-04-13 01:05:10 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5757000 (6 GB) 2022-04-13 01:05:14 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5758000 (6 GB) 2022-04-13 01:05:19 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5759000 (6 GB) 2022-04-13 01:05:23 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5760000 (6 GB) 2022-04-13 01:05:28 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5761000 (6 GB) 2022-04-13 01:05:33 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5762000 (6 GB) 2022-04-13 01:05:38 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5763000 (6 GB) 2022-04-13 01:05:43 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5764000 (6 GB) 2022-04-13 01:05:47 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5765000 (6 GB) 2022-04-13 01:05:53 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5766000 (6 GB) 2022-04-13 01:05:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5767000 (6 GB) 2022-04-13 01:06:02 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5768000 (6 GB) 2022-04-13 01:06:07 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5769000 (6 GB) 2022-04-13 01:06:12 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5770000 (6 GB) 2022-04-13 01:06:17 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5771000 (6 GB) 2022-04-13 01:06:22 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5772000 (6 GB) 2022-04-13 01:06:27 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5773000 (6 GB) 2022-04-13 01:06:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5774000 (6 GB) 2022-04-13 01:06:37 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5775000 (6 GB) 2022-04-13 01:06:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5776000 (6 GB) 2022-04-13 01:06:46 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5777000 (6 GB) 2022-04-13 01:06:51 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5778000 (6 GB) 2022-04-13 01:06:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5779000 (6 GB) 2022-04-13 01:07:00 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5780000 (6 GB) 2022-04-13 01:07:05 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5781000 (6 GB) 2022-04-13 01:07:10 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5782000 (6 GB) 2022-04-13 01:07:15 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5783000 (6 GB) 2022-04-13 01:07:20 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5784000 (6 GB) 2022-04-13 01:07:25 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5785000 (6 GB) 2022-04-13 01:07:30 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5786000 (6 GB) 2022-04-13 01:07:35 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5787000 (6 GB) 2022-04-13 01:07:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5788000 (6 GB) 2022-04-13 01:07:45 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5789000 (6 GB) 2022-04-13 01:07:51 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5790000 (6 GB) 2022-04-13 01:07:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5791000 (6 GB) 2022-04-13 01:08:00 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5792000 (6 GB) 2022-04-13 01:08:05 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5793000 (6 GB) 2022-04-13 01:08:10 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5794000 (6 GB) 2022-04-13 01:08:15 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5795000 (6 GB) 2022-04-13 01:08:19 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5796000 (6 GB) 2022-04-13 01:08:24 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5797000 (6 GB) 2022-04-13 01:08:28 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5798000 (6 GB) 2022-04-13 01:08:33 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5799000 (6 GB) 2022-04-13 01:08:13 destination > 2022-04-13 01:08:13 INFO i.a.i.d.r.SerializedBufferingStrategy(flushWriter):82 - Flushing buffer of stream engagements_notes (200 MB) 2022-04-13 01:08:13 destination > 2022-04-13 01:08:13 INFO i.a.i.d.b.BigQueryStagingConsumerFactory(lambda$flushBufferFunction$4):115 - Flushing buffer for stream engagements_notes (200 MB) to staging 2022-04-13 01:08:13 destination > 2022-04-13 01:08:13 INFO i.a.i.d.r.BaseSerializedBuffer(flush):138 - Finished writing data to 4a40f21d-75cc-425c-9fe4-ebfb2c6fdbe311204483569128404031.avro (200 MB) 2022-04-13 01:08:13 destination > 2022-04-13 01:08:13 INFO i.a.i.d.b.BigQueryGcsOperations(uploadRecordsToStage):108 - Uploading records to staging for stream engagements_notes (dataset hubspot_): product/hubspot__engagements_notes/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-13 01:08:13 destination > 2022-04-13 01:08:13 INFO i.a.i.d.s.u.StreamTransferManagerHelper(getDefault):55 - PartSize arg is set to 5 MB 2022-04-13 01:08:13 destination > 2022-04-13 01:08:13 INFO a.m.s.StreamTransferManager(getMultiPartOutputStreams):329 - Initiated multipart upload to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_notes/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with full ID ABPnzm720Xrow52P3lTEslnRsuuOr9l2ICAuTyQ12H991_iBQdIBPRo3W0kcYFGYMDLBQpKz 2022-04-13 01:08:13 destination > 2022-04-13 01:08:13 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_notes/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm720...YMDLBQpKz]: Finished uploading [Part number 1 containing 5.01 MB] 2022-04-13 01:08:13 destination > 2022-04-13 01:08:13 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_notes/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm720...YMDLBQpKz]: Finished uploading [Part number 4 containing 5.01 MB] 2022-04-13 01:08:13 destination > 2022-04-13 01:08:13 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_notes/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm720...YMDLBQpKz]: Finished uploading [Part number 5 containing 5.01 MB] 2022-04-13 01:08:13 destination > 2022-04-13 01:08:13 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_notes/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm720...YMDLBQpKz]: Finished uploading [Part number 10 containing 5.01 MB] 2022-04-13 01:08:13 destination > 2022-04-13 01:08:13 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_notes/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm720...YMDLBQpKz]: Finished uploading [Part number 9 containing 5.01 MB] 2022-04-13 01:08:13 destination > 2022-04-13 01:08:13 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_notes/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm720...YMDLBQpKz]: Finished uploading [Part number 3 containing 5.01 MB] 2022-04-13 01:08:13 destination > 2022-04-13 01:08:13 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_notes/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm720...YMDLBQpKz]: Finished uploading [Part number 7 containing 5.01 MB] 2022-04-13 01:08:13 destination > 2022-04-13 01:08:13 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_notes/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm720...YMDLBQpKz]: Finished uploading [Part number 2 containing 5.01 MB] 2022-04-13 01:08:13 destination > 2022-04-13 01:08:13 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_notes/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm720...YMDLBQpKz]: Finished uploading [Part number 8 containing 5.01 MB] 2022-04-13 01:08:13 destination > 2022-04-13 01:08:13 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_notes/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm720...YMDLBQpKz]: Finished uploading [Part number 6 containing 5.01 MB] 2022-04-13 01:08:13 destination > 2022-04-13 01:08:13 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_notes/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm720...YMDLBQpKz]: Finished uploading [Part number 11 containing 5.01 MB] 2022-04-13 01:08:13 destination > 2022-04-13 01:08:13 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_notes/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm720...YMDLBQpKz]: Finished uploading [Part number 12 containing 5.01 MB] 2022-04-13 01:08:13 destination > 2022-04-13 01:08:13 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_notes/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm720...YMDLBQpKz]: Finished uploading [Part number 14 containing 5.01 MB] 2022-04-13 01:08:13 destination > 2022-04-13 01:08:13 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_notes/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm720...YMDLBQpKz]: Finished uploading [Part number 13 containing 5.01 MB] 2022-04-13 01:08:13 destination > 2022-04-13 01:08:13 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_notes/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm720...YMDLBQpKz]: Finished uploading [Part number 16 containing 5.01 MB] 2022-04-13 01:08:13 destination > 2022-04-13 01:08:13 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_notes/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm720...YMDLBQpKz]: Finished uploading [Part number 18 containing 5.01 MB] 2022-04-13 01:08:13 destination > 2022-04-13 01:08:13 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_notes/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm720...YMDLBQpKz]: Finished uploading [Part number 17 containing 5.01 MB] 2022-04-13 01:08:14 destination > 2022-04-13 01:08:14 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_notes/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm720...YMDLBQpKz]: Finished uploading [Part number 20 containing 5.01 MB] 2022-04-13 01:08:14 destination > 2022-04-13 01:08:14 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_notes/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm720...YMDLBQpKz]: Finished uploading [Part number 21 containing 5.01 MB] 2022-04-13 01:08:14 destination > 2022-04-13 01:08:14 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_notes/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm720...YMDLBQpKz]: Finished uploading [Part number 15 containing 5.01 MB] 2022-04-13 01:08:14 destination > 2022-04-13 01:08:14 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_notes/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm720...YMDLBQpKz]: Finished uploading [Part number 19 containing 5.01 MB] 2022-04-13 01:08:14 destination > 2022-04-13 01:08:14 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_notes/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm720...YMDLBQpKz]: Finished uploading [Part number 24 containing 5.01 MB] 2022-04-13 01:08:14 destination > 2022-04-13 01:08:14 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_notes/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm720...YMDLBQpKz]: Finished uploading [Part number 26 containing 5.01 MB] 2022-04-13 01:08:14 destination > 2022-04-13 01:08:14 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_notes/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm720...YMDLBQpKz]: Finished uploading [Part number 25 containing 5.01 MB] 2022-04-13 01:08:14 destination > 2022-04-13 01:08:14 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_notes/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm720...YMDLBQpKz]: Finished uploading [Part number 23 containing 5.01 MB] 2022-04-13 01:08:14 destination > 2022-04-13 01:08:14 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_notes/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm720...YMDLBQpKz]: Finished uploading [Part number 29 containing 5.01 MB] 2022-04-13 01:08:14 destination > 2022-04-13 01:08:14 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_notes/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm720...YMDLBQpKz]: Finished uploading [Part number 22 containing 5.01 MB] 2022-04-13 01:08:14 destination > 2022-04-13 01:08:14 INFO a.m.s.MultiPartOutputStream(close):158 - Called close() on [MultipartOutputStream for parts 1 - 10000] 2022-04-13 01:08:14 destination > 2022-04-13 01:08:14 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_notes/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm720...YMDLBQpKz]: Finished uploading [Part number 31 containing 5.01 MB] 2022-04-13 01:08:14 destination > 2022-04-13 01:08:14 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_notes/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm720...YMDLBQpKz]: Finished uploading [Part number 27 containing 5.01 MB] 2022-04-13 01:08:14 destination > 2022-04-13 01:08:14 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_notes/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm720...YMDLBQpKz]: Finished uploading [Part number 28 containing 5.01 MB] 2022-04-13 01:08:14 destination > 2022-04-13 01:08:14 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_notes/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm720...YMDLBQpKz]: Finished uploading [Part number 30 containing 5.01 MB] 2022-04-13 01:08:14 destination > 2022-04-13 01:08:14 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_notes/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm720...YMDLBQpKz]: Finished uploading [Part number 35 containing 5.01 MB] 2022-04-13 01:08:14 destination > 2022-04-13 01:08:14 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_notes/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm720...YMDLBQpKz]: Finished uploading [Part number 34 containing 5.01 MB] 2022-04-13 01:08:14 destination > 2022-04-13 01:08:14 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_notes/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm720...YMDLBQpKz]: Finished uploading [Part number 32 containing 5.01 MB] 2022-04-13 01:08:14 destination > 2022-04-13 01:08:14 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_notes/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm720...YMDLBQpKz]: Finished uploading [Part number 33 containing 5.01 MB] 2022-04-13 01:08:14 destination > 2022-04-13 01:08:14 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_notes/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm720...YMDLBQpKz]: Finished uploading [Part number 36 containing 5.01 MB] 2022-04-13 01:08:14 destination > 2022-04-13 01:08:14 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_notes/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm720...YMDLBQpKz]: Finished uploading [Part number 37 containing 5.01 MB] 2022-04-13 01:08:14 destination > 2022-04-13 01:08:14 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_notes/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm720...YMDLBQpKz]: Finished uploading [Part number 38 containing 5.01 MB] 2022-04-13 01:08:14 destination > 2022-04-13 01:08:14 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_notes/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm720...YMDLBQpKz]: Finished uploading [Part number 39 containing 9.72 MB] 2022-04-13 01:08:14 destination > 2022-04-13 01:08:14 INFO a.m.s.StreamTransferManager(complete):395 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_notes/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm720...YMDLBQpKz]: Completed 2022-04-13 01:08:14 destination > 2022-04-13 01:08:14 INFO i.a.i.d.s.S3StorageOperations(loadDataIntoBucket):161 - Uploaded buffer file to storage: 4a40f21d-75cc-425c-9fe4-ebfb2c6fdbe311204483569128404031.avro -> product/hubspot__engagements_notes/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro (filename: 1.avro) 2022-04-13 01:08:14 destination > 2022-04-13 01:08:14 INFO i.a.i.d.b.BigQueryWriteConfig(addStagedFile):53 - Added staged file: 1.avro 2022-04-13 01:08:14 destination > 2022-04-13 01:08:14 INFO i.a.i.d.r.FileBuffer(deleteFile):81 - Deleting tempFile data 4a40f21d-75cc-425c-9fe4-ebfb2c6fdbe311204483569128404031.avro 2022-04-13 01:08:14 destination > 2022-04-13 01:08:14 INFO i.a.i.d.r.SerializedBufferingStrategy(lambda$addRecord$0):55 - Starting a new buffer for stream engagements_notes (current state: 310 MB in 3 buffers) 2022-04-13 01:08:14 destination > 2022-04-13 01:08:14 INFO i.a.i.d.g.u.GcsUtils(getDefaultAvroSchema):25 - Default schema. 2022-04-13 01:08:37 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5800000 (6 GB) 2022-04-13 01:08:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5801000 (6 GB) 2022-04-13 01:08:46 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5802000 (6 GB) 2022-04-13 01:08:51 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5803000 (6 GB) 2022-04-13 01:08:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5804000 (6 GB) 2022-04-13 01:09:01 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5805000 (6 GB) 2022-04-13 01:09:06 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5806000 (6 GB) 2022-04-13 01:09:11 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5807000 (6 GB) 2022-04-13 01:09:16 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5808000 (6 GB) 2022-04-13 01:09:22 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5809000 (6 GB) 2022-04-13 01:09:27 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5810000 (6 GB) 2022-04-13 01:09:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5811000 (6 GB) 2022-04-13 01:08:56 source > Advancing bookmark for engagements_notes stream from None to 2022-04-12T22:23:08.627000+00:00 2022-04-13 01:08:56 source > Read 76119 records from engagements_notes stream 2022-04-13 01:08:56 source > Finished syncing SourceHubspot 2022-04-13 01:08:56 source > SourceHubspot runtimes: 2022-04-13 01:08:56 source > Syncing stream: engagements_tasks 2022-04-13 01:08:56 destination > 2022-04-13 01:08:56 INFO i.a.i.d.r.SerializedBufferingStrategy(lambda$addRecord$0):55 - Starting a new buffer for stream engagements_tasks (current state: 342 MB in 4 buffers) 2022-04-13 01:08:56 destination > 2022-04-13 01:08:56 INFO i.a.i.d.g.u.GcsUtils(getDefaultAvroSchema):25 - Default schema. 2022-04-13 01:09:37 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5812000 (6 GB) 2022-04-13 01:09:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5813000 (6 GB) 2022-04-13 01:09:46 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5814000 (6 GB) 2022-04-13 01:09:51 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5815000 (6 GB) 2022-04-13 01:09:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5816000 (6 GB) 2022-04-13 01:10:01 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5817000 (6 GB) 2022-04-13 01:10:06 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5818000 (6 GB) 2022-04-13 01:10:11 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5819000 (6 GB) 2022-04-13 01:10:16 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5820000 (6 GB) 2022-04-13 01:10:21 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5821000 (6 GB) 2022-04-13 01:10:26 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5822000 (6 GB) 2022-04-13 01:10:32 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5823000 (6 GB) 2022-04-13 01:10:37 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5824000 (6 GB) 2022-04-13 01:10:43 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5825000 (6 GB) 2022-04-13 01:10:48 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5826000 (6 GB) 2022-04-13 01:10:54 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5827000 (6 GB) 2022-04-13 01:10:59 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5828000 (6 GB) 2022-04-13 01:11:04 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5829000 (6 GB) 2022-04-13 01:11:10 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5830000 (6 GB) 2022-04-13 01:11:15 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5831000 (6 GB) 2022-04-13 01:11:19 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5832000 (6 GB) 2022-04-13 01:11:25 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5833000 (6 GB) 2022-04-13 01:11:29 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5834000 (6 GB) 2022-04-13 01:11:34 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5835000 (6 GB) 2022-04-13 01:11:39 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5836000 (6 GB) 2022-04-13 01:11:45 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5837000 (6 GB) 2022-04-13 01:11:50 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5838000 (6 GB) 2022-04-13 01:11:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5839000 (6 GB) 2022-04-13 01:12:02 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5840000 (6 GB) 2022-04-13 01:12:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5841000 (6 GB) 2022-04-13 01:12:14 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5842000 (6 GB) 2022-04-13 01:12:20 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5843000 (6 GB) 2022-04-13 01:12:25 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5844000 (6 GB) 2022-04-13 01:12:30 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5845000 (6 GB) 2022-04-13 01:12:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5846000 (6 GB) 2022-04-13 01:12:43 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5847000 (6 GB) 2022-04-13 01:12:48 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5848000 (6 GB) 2022-04-13 01:12:53 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5849000 (6 GB) 2022-04-13 01:12:57 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5850000 (6 GB) 2022-04-13 01:13:02 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5851000 (6 GB) 2022-04-13 01:13:07 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5852000 (6 GB) 2022-04-13 01:13:12 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5853000 (6 GB) 2022-04-13 01:13:17 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5854000 (6 GB) 2022-04-13 01:13:22 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5855000 (6 GB) 2022-04-13 01:13:27 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5856000 (6 GB) 2022-04-13 01:13:31 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5857000 (6 GB) 2022-04-13 01:13:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5858000 (6 GB) 2022-04-13 01:13:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5859000 (6 GB) 2022-04-13 01:13:46 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5860000 (6 GB) 2022-04-13 01:13:50 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5861000 (6 GB) 2022-04-13 01:13:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5862000 (6 GB) 2022-04-13 01:14:00 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5863000 (6 GB) 2022-04-13 01:14:05 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5864000 (6 GB) 2022-04-13 01:14:10 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5865000 (6 GB) 2022-04-13 01:14:15 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5866000 (6 GB) 2022-04-13 01:14:20 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5867000 (6 GB) 2022-04-13 01:14:25 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5868000 (6 GB) 2022-04-13 01:14:30 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5869000 (6 GB) 2022-04-13 01:14:37 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5870000 (6 GB) 2022-04-13 01:14:43 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5871000 (6 GB) 2022-04-13 01:14:47 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5872000 (6 GB) 2022-04-13 01:14:50 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5873000 (6 GB) 2022-04-13 01:14:54 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5874000 (6 GB) 2022-04-13 01:14:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5875000 (6 GB) 2022-04-13 01:15:02 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5876000 (6 GB) 2022-04-13 01:15:06 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5877000 (6 GB) 2022-04-13 01:15:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5878000 (6 GB) 2022-04-13 01:15:13 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5879000 (6 GB) 2022-04-13 01:15:17 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5880000 (6 GB) 2022-04-13 01:15:21 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5881000 (6 GB) 2022-04-13 01:15:25 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5882000 (6 GB) 2022-04-13 01:15:28 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5883000 (6 GB) 2022-04-13 01:15:33 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5884000 (6 GB) 2022-04-13 01:14:39 source > Advancing bookmark for engagements_tasks stream from None to 2022-04-13T01:08:33.238000+00:00 2022-04-13 01:14:39 source > Read 66478 records from engagements_tasks stream 2022-04-13 01:14:39 source > Finished syncing SourceHubspot 2022-04-13 01:14:39 source > SourceHubspot runtimes: 2022-04-13 01:14:39 source > Syncing stream: form_submissions 2022-04-13 01:14:41 destination > 2022-04-13 01:14:41 INFO i.a.i.d.r.SerializedBufferingStrategy(lambda$addRecord$0):55 - Starting a new buffer for stream form_submissions (current state: 484 MB in 5 buffers) 2022-04-13 01:14:41 destination > 2022-04-13 01:14:41 INFO i.a.i.d.g.u.GcsUtils(getDefaultAvroSchema):25 - Default schema. 2022-04-13 01:15:36 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5885000 (6 GB) 2022-04-13 01:15:40 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5886000 (6 GB) 2022-04-13 01:15:43 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5887000 (6 GB) 2022-04-13 01:15:47 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5888000 (6 GB) 2022-04-13 01:15:50 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5889000 (6 GB) 2022-04-13 01:15:54 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5890000 (6 GB) 2022-04-13 01:15:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5891000 (6 GB) 2022-04-13 01:16:01 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5892000 (6 GB) 2022-04-13 01:16:05 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5893000 (6 GB) 2022-04-13 01:16:08 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5894000 (6 GB) 2022-04-13 01:16:12 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5895000 (6 GB) 2022-04-13 01:16:15 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5896000 (6 GB) 2022-04-13 01:16:18 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5897000 (6 GB) 2022-04-13 01:16:22 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5898000 (6 GB) 2022-04-13 01:16:26 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5899000 (6 GB) 2022-04-13 01:16:30 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5900000 (6 GB) 2022-04-13 01:16:34 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5901000 (6 GB) 2022-04-13 01:16:37 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5902000 (6 GB) 2022-04-13 01:16:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5903000 (6 GB) 2022-04-13 01:16:44 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5904000 (6 GB) 2022-04-13 01:16:48 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5905000 (6 GB) 2022-04-13 01:16:51 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5906000 (6 GB) 2022-04-13 01:16:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5907000 (6 GB) 2022-04-13 01:16:58 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5908000 (6 GB) 2022-04-13 01:17:02 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5909000 (6 GB) 2022-04-13 01:17:06 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5910000 (6 GB) 2022-04-13 01:17:09 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5911000 (6 GB) 2022-04-13 01:17:13 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5912000 (6 GB) 2022-04-13 01:17:16 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5913000 (6 GB) 2022-04-13 01:17:20 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5914000 (6 GB) 2022-04-13 01:17:24 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5915000 (6 GB) 2022-04-13 01:17:27 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5916000 (6 GB) 2022-04-13 01:17:31 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5917000 (6 GB) 2022-04-13 01:17:34 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5918000 (6 GB) 2022-04-13 01:17:38 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5919000 (6 GB) 2022-04-13 01:17:41 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5920000 (6 GB) 2022-04-13 01:17:45 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5921000 (6 GB) 2022-04-13 01:17:48 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5922000 (6 GB) 2022-04-13 01:17:52 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5923000 (6 GB) 2022-04-13 01:17:55 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5924000 (6 GB) 2022-04-13 01:17:59 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5925000 (6 GB) 2022-04-13 01:18:03 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5926000 (6 GB) 2022-04-13 01:18:07 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5927000 (6 GB) 2022-04-13 01:18:10 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5928000 (6 GB) 2022-04-13 01:18:14 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5929000 (6 GB) 2022-04-13 01:18:19 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5930000 (6 GB) 2022-04-13 01:18:18 source > Read 59336 records from form_submissions stream 2022-04-13 01:18:18 source > Finished syncing SourceHubspot 2022-04-13 01:18:18 source > SourceHubspot runtimes: 2022-04-13 01:18:18 source > Syncing stream: forms 2022-04-13 01:18:19 destination > 2022-04-13 01:18:19 INFO i.a.i.d.r.SerializedBufferingStrategy(lambda$addRecord$0):55 - Starting a new buffer for stream forms (current state: 531 MB in 6 buffers) 2022-04-13 01:18:19 destination > 2022-04-13 01:18:19 INFO i.a.i.d.g.u.GcsUtils(getDefaultAvroSchema):25 - Default schema. 2022-04-13 01:18:19 source > Read 28 records from forms stream 2022-04-13 01:18:19 source > Finished syncing SourceHubspot 2022-04-13 01:18:19 source > SourceHubspot runtimes: 2022-04-13 01:18:19 source > Syncing stream: line_items 2022-04-13 01:18:19 source > Read 0 records from line_items stream 2022-04-13 01:18:19 source > Finished syncing SourceHubspot 2022-04-13 01:18:19 source > SourceHubspot runtimes: 2022-04-13 01:18:19 source > Syncing stream: marketing_emails 2022-04-13 01:18:19 destination > 2022-04-13 01:18:19 INFO i.a.i.d.r.SerializedBufferingStrategy(lambda$addRecord$0):55 - Starting a new buffer for stream marketing_emails (current state: 531 MB in 7 buffers) 2022-04-13 01:18:19 destination > 2022-04-13 01:18:19 INFO i.a.i.d.g.u.GcsUtils(getDefaultAvroSchema):25 - Default schema. 2022-04-13 01:18:20 source > Read 49 records from marketing_emails stream 2022-04-13 01:18:20 source > Finished syncing SourceHubspot 2022-04-13 01:18:20 source > SourceHubspot runtimes: 2022-04-13 01:18:20 source > Syncing stream: owners 2022-04-13 01:18:20 destination > 2022-04-13 01:18:20 INFO i.a.i.d.r.SerializedBufferingStrategy(lambda$addRecord$0):55 - Starting a new buffer for stream owners (current state: 531 MB in 8 buffers) 2022-04-13 01:18:20 destination > 2022-04-13 01:18:20 INFO i.a.i.d.g.u.GcsUtils(getDefaultAvroSchema):25 - Default schema. 2022-04-13 01:18:20 source > Read 37 records from owners stream 2022-04-13 01:18:20 source > Finished syncing SourceHubspot 2022-04-13 01:18:20 source > SourceHubspot runtimes: 2022-04-13 01:18:20 source > Syncing stream: products 2022-04-13 01:18:20 source > Read 0 records from products stream 2022-04-13 01:18:20 source > Finished syncing SourceHubspot 2022-04-13 01:18:20 source > SourceHubspot runtimes: 2022-04-13 01:18:20 source > Syncing stream: property_history 2022-04-13 02:00:31 source > Backing off _send(...) for 5.0s (airbyte_cdk.sources.streams.http.exceptions.DefaultBackoffException) 2022-04-13 02:23:31 source > Caught retryable error '' after 1 tries. Waiting 5 seconds then retrying... 2022-04-13 02:23:31 source > Backing off _send(...) for 5.0s (airbyte_cdk.sources.streams.http.exceptions.DefaultBackoffException) 2022-04-13 02:25:20 source > Caught retryable error '' after 1 tries. Waiting 5 seconds then retrying... 2022-04-13 02:25:20 source > Backing off _send(...) for 5.0s (airbyte_cdk.sources.streams.http.exceptions.DefaultBackoffException) 2022-04-13 02:30:05 source > Caught retryable error '' after 1 tries. Waiting 5 seconds then retrying... 2022-04-13 02:30:05 source > Backing off _send(...) for 5.0s (airbyte_cdk.sources.streams.http.exceptions.DefaultBackoffException) 2022-04-13 03:06:08 source > Caught retryable error '' after 1 tries. Waiting 5 seconds then retrying... 2022-04-13 04:35:05 source > Backing off _send(...) for 5.0s (airbyte_cdk.sources.streams.http.exceptions.DefaultBackoffException) 2022-04-13 04:57:17 source > Caught retryable error '' after 1 tries. Waiting 5 seconds then retrying... 2022-04-13 04:57:26 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5931000 (6 GB) 2022-04-13 04:57:17 source > Read 0 records from property_history stream 2022-04-13 04:57:17 source > Finished syncing SourceHubspot 2022-04-13 04:57:17 source > SourceHubspot runtimes: 2022-04-13 04:57:17 source > Syncing stream: quotes 2022-04-13 04:57:18 source > Read 0 records from quotes stream 2022-04-13 04:57:18 source > Finished syncing SourceHubspot 2022-04-13 04:57:18 source > SourceHubspot runtimes: 2022-04-13 04:57:18 source > Syncing stream: subscription_changes 2022-04-13 04:57:23 source > Advancing bookmark for subscription_changes stream from None to 2020-01-06T17:20:32.432000+00:00 2022-04-13 04:57:24 source > Advancing bookmark for subscription_changes stream from 2020-01-06T17:20:32.432000+00:00 to 2020-02-08T13:14:42.446000+00:00 2022-04-13 04:57:24 destination > 2022-04-13 04:57:24 INFO i.a.i.d.r.SerializedBufferingStrategy(lambda$addRecord$0):55 - Starting a new buffer for stream subscription_changes (current state: 531 MB in 9 buffers) 2022-04-13 04:57:24 destination > 2022-04-13 04:57:24 INFO i.a.i.d.g.u.GcsUtils(getDefaultAvroSchema):25 - Default schema. 2022-04-13 04:57:24 destination > 2022-04-13 04:57:24 INFO i.a.i.d.r.SerializedBufferingStrategy(flushAll):92 - Flushing all 10 current buffers (531 MB in total) 2022-04-13 04:57:24 destination > 2022-04-13 04:57:24 INFO i.a.i.d.r.SerializedBufferingStrategy(lambda$flushAll$2):95 - Flushing buffer of stream owners (319 bytes) 2022-04-13 04:57:24 destination > 2022-04-13 04:57:24 INFO i.a.i.d.b.BigQueryStagingConsumerFactory(lambda$flushBufferFunction$4):115 - Flushing buffer for stream owners (319 bytes) to staging 2022-04-13 04:57:24 destination > 2022-04-13 04:57:24 INFO i.a.i.d.r.BaseSerializedBuffer(flush):138 - Finished writing data to 833af3ff-42ec-49b8-9166-d026119ca86513841696857486718433.avro (10 KB) 2022-04-13 04:57:24 destination > 2022-04-13 04:57:24 INFO i.a.i.d.b.BigQueryGcsOperations(uploadRecordsToStage):108 - Uploading records to staging for stream owners (dataset hubspot_): product/hubspot__owners/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-13 04:57:24 destination > 2022-04-13 04:57:24 INFO i.a.i.d.s.u.StreamTransferManagerHelper(getDefault):55 - PartSize arg is set to 5 MB 2022-04-13 04:57:24 destination > 2022-04-13 04:57:24 INFO a.m.s.StreamTransferManager(getMultiPartOutputStreams):329 - Initiated multipart upload to mansagroup-airbyte-bigquery-buffer/product/hubspot__owners/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with full ID ABPnzm7haIkRKw0hCC_dNIaIvE9rXQ_3Qm_p_QJEIeB0uUwi_erdXA4hGMFXJ8Jixg7j-Ysy 2022-04-13 04:57:24 destination > 2022-04-13 04:57:24 INFO a.m.s.MultiPartOutputStream(close):158 - Called close() on [MultipartOutputStream for parts 1 - 10000] 2022-04-13 04:57:24 destination > 2022-04-13 04:57:24 INFO a.m.s.StreamTransferManager(complete):367 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__owners/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm7ha...ixg7j-Ysy]: Uploading leftover stream [Part number 1 containing 0.01 MB] 2022-04-13 04:57:24 source > Advancing bookmark for subscription_changes stream from 2020-02-08T13:14:42.446000+00:00 to 2020-03-09T14:48:42.482000+00:00 2022-04-13 04:57:24 destination > 2022-04-13 04:57:24 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__owners/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm7ha...ixg7j-Ysy]: Finished uploading [Part number 1 containing 0.01 MB] 2022-04-13 04:57:24 destination > 2022-04-13 04:57:24 INFO a.m.s.StreamTransferManager(complete):395 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__owners/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm7ha...ixg7j-Ysy]: Completed 2022-04-13 04:57:24 destination > 2022-04-13 04:57:24 INFO i.a.i.d.s.S3StorageOperations(loadDataIntoBucket):161 - Uploaded buffer file to storage: 833af3ff-42ec-49b8-9166-d026119ca86513841696857486718433.avro -> product/hubspot__owners/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro (filename: 1.avro) 2022-04-13 04:57:24 destination > 2022-04-13 04:57:24 INFO i.a.i.d.b.BigQueryWriteConfig(addStagedFile):53 - Added staged file: 1.avro 2022-04-13 04:57:24 destination > 2022-04-13 04:57:24 INFO i.a.i.d.r.FileBuffer(deleteFile):81 - Deleting tempFile data 833af3ff-42ec-49b8-9166-d026119ca86513841696857486718433.avro 2022-04-13 04:57:24 destination > 2022-04-13 04:57:24 INFO i.a.i.d.r.SerializedBufferingStrategy(lambda$flushAll$2):95 - Flushing buffer of stream form_submissions (46 MB) 2022-04-13 04:57:24 destination > 2022-04-13 04:57:24 INFO i.a.i.d.b.BigQueryStagingConsumerFactory(lambda$flushBufferFunction$4):115 - Flushing buffer for stream form_submissions (46 MB) to staging 2022-04-13 04:57:24 destination > 2022-04-13 04:57:24 INFO i.a.i.d.r.BaseSerializedBuffer(flush):138 - Finished writing data to 7bea61c8-ac49-4582-a66a-4ec31ef7321d14831384110897724877.avro (46 MB) 2022-04-13 04:57:24 destination > 2022-04-13 04:57:24 INFO i.a.i.d.b.BigQueryGcsOperations(uploadRecordsToStage):108 - Uploading records to staging for stream form_submissions (dataset hubspot_): product/hubspot__form_submissions/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-13 04:57:24 source > Advancing bookmark for subscription_changes stream from 2020-03-09T14:48:42.482000+00:00 to 2020-04-08T11:10:00.588000+00:00 2022-04-13 04:57:24 destination > 2022-04-13 04:57:24 INFO i.a.i.d.s.u.StreamTransferManagerHelper(getDefault):55 - PartSize arg is set to 5 MB 2022-04-13 04:57:24 destination > 2022-04-13 04:57:24 INFO a.m.s.StreamTransferManager(getMultiPartOutputStreams):329 - Initiated multipart upload to mansagroup-airbyte-bigquery-buffer/product/hubspot__form_submissions/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with full ID ABPnzm7w6b6VEaBFefLUT3IZOE4IuiPeH-_SQn98lvgTPxOGe-ttTtQv6SKWri32qSr0c89G 2022-04-13 04:57:24 destination > 2022-04-13 04:57:24 INFO a.m.s.MultiPartOutputStream(close):158 - Called close() on [MultipartOutputStream for parts 1 - 10000] 2022-04-13 04:57:24 source > Advancing bookmark for subscription_changes stream from 2020-04-08T11:10:00.588000+00:00 to 2020-05-07T07:01:04.534000+00:00 2022-04-13 04:57:24 destination > 2022-04-13 04:57:24 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__form_submissions/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm7w6...2qSr0c89G]: Finished uploading [Part number 1 containing 5.01 MB] 2022-04-13 04:57:24 destination > 2022-04-13 04:57:24 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__form_submissions/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm7w6...2qSr0c89G]: Finished uploading [Part number 3 containing 5.01 MB] 2022-04-13 04:57:24 destination > 2022-04-13 04:57:24 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__form_submissions/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm7w6...2qSr0c89G]: Finished uploading [Part number 2 containing 5.01 MB] 2022-04-13 04:57:24 destination > 2022-04-13 04:57:24 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__form_submissions/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm7w6...2qSr0c89G]: Finished uploading [Part number 4 containing 5.01 MB] 2022-04-13 04:57:24 destination > 2022-04-13 04:57:24 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__form_submissions/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm7w6...2qSr0c89G]: Finished uploading [Part number 5 containing 5.01 MB] 2022-04-13 04:57:24 destination > 2022-04-13 04:57:24 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__form_submissions/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm7w6...2qSr0c89G]: Finished uploading [Part number 6 containing 5.01 MB] 2022-04-13 04:57:24 destination > 2022-04-13 04:57:24 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__form_submissions/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm7w6...2qSr0c89G]: Finished uploading [Part number 7 containing 5.01 MB] 2022-04-13 04:57:24 destination > 2022-04-13 04:57:24 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__form_submissions/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm7w6...2qSr0c89G]: Finished uploading [Part number 8 containing 5.01 MB] 2022-04-13 04:57:24 source > Advancing bookmark for subscription_changes stream from 2020-05-07T07:01:04.534000+00:00 to 2020-06-05T08:13:16.620000+00:00 2022-04-13 04:57:24 destination > 2022-04-13 04:57:24 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__form_submissions/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm7w6...2qSr0c89G]: Finished uploading [Part number 9 containing 6.28 MB] 2022-04-13 04:57:24 destination > 2022-04-13 04:57:24 INFO a.m.s.StreamTransferManager(complete):395 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__form_submissions/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm7w6...2qSr0c89G]: Completed 2022-04-13 04:57:24 destination > 2022-04-13 04:57:24 INFO i.a.i.d.s.S3StorageOperations(loadDataIntoBucket):161 - Uploaded buffer file to storage: 7bea61c8-ac49-4582-a66a-4ec31ef7321d14831384110897724877.avro -> product/hubspot__form_submissions/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro (filename: 1.avro) 2022-04-13 04:57:24 destination > 2022-04-13 04:57:24 INFO i.a.i.d.b.BigQueryWriteConfig(addStagedFile):53 - Added staged file: 1.avro 2022-04-13 04:57:24 destination > 2022-04-13 04:57:24 INFO i.a.i.d.r.FileBuffer(deleteFile):81 - Deleting tempFile data 7bea61c8-ac49-4582-a66a-4ec31ef7321d14831384110897724877.avro 2022-04-13 04:57:24 destination > 2022-04-13 04:57:24 INFO i.a.i.d.r.SerializedBufferingStrategy(lambda$flushAll$2):95 - Flushing buffer of stream marketing_emails (260 KB) 2022-04-13 04:57:24 destination > 2022-04-13 04:57:24 INFO i.a.i.d.b.BigQueryStagingConsumerFactory(lambda$flushBufferFunction$4):115 - Flushing buffer for stream marketing_emails (260 KB) to staging 2022-04-13 04:57:24 destination > 2022-04-13 04:57:24 INFO i.a.i.d.r.BaseSerializedBuffer(flush):138 - Finished writing data to 361270da-cbb8-4a83-aaae-a2fdb117ec0214651898684927991654.avro (282 KB) 2022-04-13 04:57:24 destination > 2022-04-13 04:57:24 INFO i.a.i.d.b.BigQueryGcsOperations(uploadRecordsToStage):108 - Uploading records to staging for stream marketing_emails (dataset hubspot_): product/hubspot__marketing_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-13 04:57:24 destination > 2022-04-13 04:57:24 INFO i.a.i.d.s.u.StreamTransferManagerHelper(getDefault):55 - PartSize arg is set to 5 MB 2022-04-13 04:57:24 source > Advancing bookmark for subscription_changes stream from 2020-06-05T08:13:16.620000+00:00 to 2020-07-06T08:59:02.672000+00:00 2022-04-13 04:57:24 destination > 2022-04-13 04:57:24 INFO a.m.s.StreamTransferManager(getMultiPartOutputStreams):329 - Initiated multipart upload to mansagroup-airbyte-bigquery-buffer/product/hubspot__marketing_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with full ID ABPnzm7MBbblvoxStHfmuHHn0eObrZGNLIz3Nzdl2vGXAadlBZj1fd2erw3MPFIxnyk1Dwa_ 2022-04-13 04:57:24 destination > 2022-04-13 04:57:24 INFO a.m.s.MultiPartOutputStream(close):158 - Called close() on [MultipartOutputStream for parts 1 - 10000] 2022-04-13 04:57:24 destination > 2022-04-13 04:57:24 INFO a.m.s.StreamTransferManager(complete):367 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__marketing_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm7MB...xnyk1Dwa_]: Uploading leftover stream [Part number 1 containing 0.28 MB] 2022-04-13 04:57:24 destination > 2022-04-13 04:57:24 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__marketing_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm7MB...xnyk1Dwa_]: Finished uploading [Part number 1 containing 0.28 MB] 2022-04-13 04:57:24 source > Advancing bookmark for subscription_changes stream from 2020-07-06T08:59:02.672000+00:00 to 2020-08-05T07:33:04.083000+00:00 2022-04-13 04:57:25 source > Advancing bookmark for subscription_changes stream from 2020-08-05T07:33:04.083000+00:00 to 2020-09-03T10:09:11.509000+00:00 2022-04-13 04:57:25 source > Advancing bookmark for subscription_changes stream from 2020-09-03T10:09:11.509000+00:00 to 2020-10-05T20:41:49.075000+00:00 2022-04-13 04:57:25 source > Advancing bookmark for subscription_changes stream from 2020-10-05T20:41:49.075000+00:00 to 2020-11-04T08:52:18.919000+00:00 2022-04-13 04:57:26 source > Advancing bookmark for subscription_changes stream from 2020-11-04T08:52:18.919000+00:00 to 2020-12-04T15:22:43.229000+00:00 2022-04-13 04:57:26 destination > 2022-04-13 04:57:26 INFO a.m.s.StreamTransferManager(complete):395 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__marketing_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm7MB...xnyk1Dwa_]: Completed 2022-04-13 04:57:26 destination > 2022-04-13 04:57:26 INFO i.a.i.d.s.S3StorageOperations(loadDataIntoBucket):161 - Uploaded buffer file to storage: 361270da-cbb8-4a83-aaae-a2fdb117ec0214651898684927991654.avro -> product/hubspot__marketing_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro (filename: 1.avro) 2022-04-13 04:57:26 destination > 2022-04-13 04:57:26 INFO i.a.i.d.b.BigQueryWriteConfig(addStagedFile):53 - Added staged file: 1.avro 2022-04-13 04:57:26 destination > 2022-04-13 04:57:26 INFO i.a.i.d.r.FileBuffer(deleteFile):81 - Deleting tempFile data 361270da-cbb8-4a83-aaae-a2fdb117ec0214651898684927991654.avro 2022-04-13 04:57:26 destination > 2022-04-13 04:57:26 INFO i.a.i.d.r.SerializedBufferingStrategy(lambda$flushAll$2):95 - Flushing buffer of stream engagements_notes (31 MB) 2022-04-13 04:57:26 destination > 2022-04-13 04:57:26 INFO i.a.i.d.b.BigQueryStagingConsumerFactory(lambda$flushBufferFunction$4):115 - Flushing buffer for stream engagements_notes (31 MB) to staging 2022-04-13 04:57:26 destination > 2022-04-13 04:57:26 INFO i.a.i.d.r.BaseSerializedBuffer(flush):138 - Finished writing data to b266637a-9317-4f2b-b2b6-7cc77f72e9049107753584344910142.avro (31 MB) 2022-04-13 04:57:26 destination > 2022-04-13 04:57:26 INFO i.a.i.d.b.BigQueryGcsOperations(uploadRecordsToStage):108 - Uploading records to staging for stream engagements_notes (dataset hubspot_): product/hubspot__engagements_notes/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-13 04:57:26 destination > 2022-04-13 04:57:26 INFO i.a.i.d.s.u.StreamTransferManagerHelper(getDefault):55 - PartSize arg is set to 5 MB 2022-04-13 04:57:26 destination > 2022-04-13 04:57:26 INFO a.m.s.StreamTransferManager(getMultiPartOutputStreams):329 - Initiated multipart upload to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_notes/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with full ID ABPnzm4YmVGkAudYehuj5sq0aZMYQRDr5GEwT7XuDj9H12oLSooGTwUR67O-_pd-iI_HCKwI 2022-04-13 04:57:26 destination > 2022-04-13 04:57:26 INFO a.m.s.MultiPartOutputStream(close):158 - Called close() on [MultipartOutputStream for parts 1 - 10000] 2022-04-13 04:57:26 source > Advancing bookmark for subscription_changes stream from 2020-12-04T15:22:43.229000+00:00 to 2021-01-03T16:15:02.315000+00:00 2022-04-13 04:57:26 destination > 2022-04-13 04:57:26 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_notes/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm4Ym...-iI_HCKwI]: Finished uploading [Part number 1 containing 5.01 MB] 2022-04-13 04:57:26 destination > 2022-04-13 04:57:26 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_notes/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm4Ym...-iI_HCKwI]: Finished uploading [Part number 3 containing 5.01 MB] 2022-04-13 04:57:26 destination > 2022-04-13 04:57:26 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_notes/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm4Ym...-iI_HCKwI]: Finished uploading [Part number 2 containing 5.01 MB] 2022-04-13 04:57:26 destination > 2022-04-13 04:57:26 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_notes/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm4Ym...-iI_HCKwI]: Finished uploading [Part number 5 containing 5.01 MB] 2022-04-13 04:57:26 destination > 2022-04-13 04:57:26 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_notes/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm4Ym...-iI_HCKwI]: Finished uploading [Part number 4 containing 5.01 MB] 2022-04-13 04:57:26 destination > 2022-04-13 04:57:26 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_notes/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm4Ym...-iI_HCKwI]: Finished uploading [Part number 6 containing 6.76 MB] 2022-04-13 04:57:26 source > Advancing bookmark for subscription_changes stream from 2021-01-03T16:15:02.315000+00:00 to 2021-01-30T10:01:09.381000+00:00 2022-04-13 04:57:26 destination > 2022-04-13 04:57:26 INFO a.m.s.StreamTransferManager(complete):395 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_notes/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm4Ym...-iI_HCKwI]: Completed 2022-04-13 04:57:26 destination > 2022-04-13 04:57:26 INFO i.a.i.d.s.S3StorageOperations(loadDataIntoBucket):161 - Uploaded buffer file to storage: b266637a-9317-4f2b-b2b6-7cc77f72e9049107753584344910142.avro -> product/hubspot__engagements_notes/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro (filename: 2.avro) 2022-04-13 04:57:26 destination > 2022-04-13 04:57:26 INFO i.a.i.d.b.BigQueryWriteConfig(addStagedFile):53 - Added staged file: 2.avro 2022-04-13 04:57:26 destination > 2022-04-13 04:57:26 INFO i.a.i.d.r.FileBuffer(deleteFile):81 - Deleting tempFile data b266637a-9317-4f2b-b2b6-7cc77f72e9049107753584344910142.avro 2022-04-13 04:57:26 destination > 2022-04-13 04:57:26 INFO i.a.i.d.r.SerializedBufferingStrategy(lambda$flushAll$2):95 - Flushing buffer of stream engagements_meetings (18 MB) 2022-04-13 04:57:26 destination > 2022-04-13 04:57:26 INFO i.a.i.d.b.BigQueryStagingConsumerFactory(lambda$flushBufferFunction$4):115 - Flushing buffer for stream engagements_meetings (18 MB) to staging 2022-04-13 04:57:26 destination > 2022-04-13 04:57:26 INFO i.a.i.d.r.BaseSerializedBuffer(flush):138 - Finished writing data to bc7c2db7-02a3-4bfc-afee-0b8237cfecb515275388147477505830.avro (18 MB) 2022-04-13 04:57:26 destination > 2022-04-13 04:57:26 INFO i.a.i.d.b.BigQueryGcsOperations(uploadRecordsToStage):108 - Uploading records to staging for stream engagements_meetings (dataset hubspot_): product/hubspot__engagements_meetings/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-13 04:57:26 destination > 2022-04-13 04:57:26 INFO i.a.i.d.s.u.StreamTransferManagerHelper(getDefault):55 - PartSize arg is set to 5 MB 2022-04-13 04:57:26 destination > 2022-04-13 04:57:26 INFO a.m.s.StreamTransferManager(getMultiPartOutputStreams):329 - Initiated multipart upload to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_meetings/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with full ID ABPnzm7aa_rL53U-p0vWFWvGmckhrP4aVMFn8OuJv0HtTXzIM9fKskfol1eyKaqB9R965Zdx 2022-04-13 04:57:26 source > Advancing bookmark for subscription_changes stream from 2021-01-30T10:01:09.381000+00:00 to 2021-03-02T18:57:25.120000+00:00 2022-04-13 04:57:26 source > Advancing bookmark for subscription_changes stream from 2021-03-02T18:57:25.120000+00:00 to 2021-03-30T15:42:26.510000+00:00 2022-04-13 04:57:27 destination > 2022-04-13 04:57:27 INFO a.m.s.MultiPartOutputStream(close):158 - Called close() on [MultipartOutputStream for parts 1 - 10000] 2022-04-13 04:57:27 source > Advancing bookmark for subscription_changes stream from 2021-03-30T15:42:26.510000+00:00 to 2021-05-03T16:35:18.561000+00:00 2022-04-13 04:57:27 destination > 2022-04-13 04:57:27 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_meetings/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm7aa...B9R965Zdx]: Finished uploading [Part number 1 containing 5.01 MB] 2022-04-13 04:57:27 destination > 2022-04-13 04:57:27 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_meetings/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm7aa...B9R965Zdx]: Finished uploading [Part number 2 containing 5.01 MB] 2022-04-13 04:57:27 destination > 2022-04-13 04:57:27 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_meetings/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm7aa...B9R965Zdx]: Finished uploading [Part number 3 containing 8.93 MB] 2022-04-13 04:57:27 source > Advancing bookmark for subscription_changes stream from 2021-05-03T16:35:18.561000+00:00 to 2021-05-27T16:34:22.228000+00:00 2022-04-13 04:57:27 source > Advancing bookmark for subscription_changes stream from 2021-05-27T16:34:22.228000+00:00 to 2021-07-01T10:59:35.017000+00:00 2022-04-13 04:57:27 source > Advancing bookmark for subscription_changes stream from 2021-07-01T10:59:35.017000+00:00 to 2021-07-30T13:48:37.462000+00:00 2022-04-13 04:57:27 source > Advancing bookmark for subscription_changes stream from 2021-07-30T13:48:37.462000+00:00 to 2021-08-31T10:28:26.194000+00:00 2022-04-13 04:57:27 source > Advancing bookmark for subscription_changes stream from 2021-08-31T10:28:26.194000+00:00 to 2021-09-30T14:17:42.916000+00:00 2022-04-13 04:57:28 source > Advancing bookmark for subscription_changes stream from 2021-09-30T14:17:42.916000+00:00 to 2021-10-30T15:48:41.685000+00:00 2022-04-13 04:57:28 destination > 2022-04-13 04:57:28 INFO a.m.s.StreamTransferManager(complete):395 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_meetings/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm7aa...B9R965Zdx]: Completed 2022-04-13 04:57:28 source > Advancing bookmark for subscription_changes stream from 2021-10-30T15:48:41.685000+00:00 to 2021-11-29T17:28:00.841000+00:00 2022-04-13 04:57:28 destination > 2022-04-13 04:57:28 INFO i.a.i.d.s.S3StorageOperations(loadDataIntoBucket):161 - Uploaded buffer file to storage: bc7c2db7-02a3-4bfc-afee-0b8237cfecb515275388147477505830.avro -> product/hubspot__engagements_meetings/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro (filename: 1.avro) 2022-04-13 04:57:28 destination > 2022-04-13 04:57:28 INFO i.a.i.d.b.BigQueryWriteConfig(addStagedFile):53 - Added staged file: 1.avro 2022-04-13 04:57:28 destination > 2022-04-13 04:57:28 INFO i.a.i.d.r.FileBuffer(deleteFile):81 - Deleting tempFile data bc7c2db7-02a3-4bfc-afee-0b8237cfecb515275388147477505830.avro 2022-04-13 04:57:28 destination > 2022-04-13 04:57:28 INFO i.a.i.d.r.SerializedBufferingStrategy(lambda$flushAll$2):95 - Flushing buffer of stream subscription_changes (333 bytes) 2022-04-13 04:57:28 destination > 2022-04-13 04:57:28 INFO i.a.i.d.b.BigQueryStagingConsumerFactory(lambda$flushBufferFunction$4):115 - Flushing buffer for stream subscription_changes (333 bytes) to staging 2022-04-13 04:57:28 destination > 2022-04-13 04:57:28 INFO i.a.i.d.r.BaseSerializedBuffer(flush):138 - Finished writing data to 4b43f40e-1a8d-46fb-820c-76a1edcd23da11910827727586694624.avro (769 bytes) 2022-04-13 04:57:28 destination > 2022-04-13 04:57:28 INFO i.a.i.d.b.BigQueryGcsOperations(uploadRecordsToStage):108 - Uploading records to staging for stream subscription_changes (dataset hubspot_): product/hubspot__subscription_changes/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-13 04:57:28 destination > 2022-04-13 04:57:28 INFO i.a.i.d.s.u.StreamTransferManagerHelper(getDefault):55 - PartSize arg is set to 5 MB 2022-04-13 04:57:28 destination > 2022-04-13 04:57:28 INFO a.m.s.StreamTransferManager(getMultiPartOutputStreams):329 - Initiated multipart upload to mansagroup-airbyte-bigquery-buffer/product/hubspot__subscription_changes/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with full ID ABPnzm7B7jj1cXLY7I63-bnRjq5uKpgOG_vNkiWd2vQoIr_VHwXh7zzIsFiHuXJ0sOlLuECl 2022-04-13 04:57:28 destination > 2022-04-13 04:57:28 INFO a.m.s.MultiPartOutputStream(close):158 - Called close() on [MultipartOutputStream for parts 1 - 10000] 2022-04-13 04:57:28 destination > 2022-04-13 04:57:28 INFO a.m.s.StreamTransferManager(complete):367 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__subscription_changes/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm7B7...0sOlLuECl]: Uploading leftover stream [Part number 1 containing 0.00 MB] 2022-04-13 04:57:28 destination > 2022-04-13 04:57:28 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__subscription_changes/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm7B7...0sOlLuECl]: Finished uploading [Part number 1 containing 0.00 MB] 2022-04-13 04:57:28 source > Advancing bookmark for subscription_changes stream from 2021-11-29T17:28:00.841000+00:00 to 2021-12-29T15:27:12.061000+00:00 2022-04-13 04:57:28 destination > 2022-04-13 04:57:28 INFO a.m.s.StreamTransferManager(complete):395 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__subscription_changes/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm7B7...0sOlLuECl]: Completed 2022-04-13 04:57:28 destination > 2022-04-13 04:57:28 INFO i.a.i.d.s.S3StorageOperations(loadDataIntoBucket):161 - Uploaded buffer file to storage: 4b43f40e-1a8d-46fb-820c-76a1edcd23da11910827727586694624.avro -> product/hubspot__subscription_changes/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro (filename: 1.avro) 2022-04-13 04:57:28 destination > 2022-04-13 04:57:28 INFO i.a.i.d.b.BigQueryWriteConfig(addStagedFile):53 - Added staged file: 1.avro 2022-04-13 04:57:28 destination > 2022-04-13 04:57:28 INFO i.a.i.d.r.FileBuffer(deleteFile):81 - Deleting tempFile data 4b43f40e-1a8d-46fb-820c-76a1edcd23da11910827727586694624.avro 2022-04-13 04:57:28 destination > 2022-04-13 04:57:28 INFO i.a.i.d.r.SerializedBufferingStrategy(lambda$flushAll$2):95 - Flushing buffer of stream engagements_emails (118 MB) 2022-04-13 04:57:28 destination > 2022-04-13 04:57:28 INFO i.a.i.d.b.BigQueryStagingConsumerFactory(lambda$flushBufferFunction$4):115 - Flushing buffer for stream engagements_emails (118 MB) to staging 2022-04-13 04:57:28 destination > 2022-04-13 04:57:28 INFO i.a.i.d.r.BaseSerializedBuffer(flush):138 - Finished writing data to d0ea9232-363a-4d2f-a401-fdbd827e476a4121276187664475093.avro (118 MB) 2022-04-13 04:57:28 destination > 2022-04-13 04:57:28 INFO i.a.i.d.b.BigQueryGcsOperations(uploadRecordsToStage):108 - Uploading records to staging for stream engagements_emails (dataset hubspot_): product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-13 04:57:28 destination > 2022-04-13 04:57:28 INFO i.a.i.d.s.u.StreamTransferManagerHelper(getDefault):55 - PartSize arg is set to 5 MB 2022-04-13 04:57:28 destination > 2022-04-13 04:57:28 INFO a.m.s.StreamTransferManager(getMultiPartOutputStreams):329 - Initiated multipart upload to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/10.avro with full ID ABPnzm7DieKxtTwGE_VXnfleJ9n3f5dfIcD2sRqkg9TfU0tkNE-pBracP-J66tt7gjoaCdh1 2022-04-13 04:57:28 source > Advancing bookmark for subscription_changes stream from 2021-12-29T15:27:12.061000+00:00 to 2022-01-27T13:11:31.623000+00:00 2022-04-13 04:57:28 source > Advancing bookmark for subscription_changes stream from 2022-01-27T13:11:31.623000+00:00 to 2022-02-25T17:27:21.878000+00:00 2022-04-13 04:57:28 destination > 2022-04-13 04:57:28 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/10.avro with id ABPnzm7Di...7gjoaCdh1]: Finished uploading [Part number 1 containing 5.01 MB] 2022-04-13 04:57:28 source > Advancing bookmark for subscription_changes stream from 2022-02-25T17:27:21.878000+00:00 to 2022-03-29T10:03:00.778000+00:00 2022-04-13 04:57:29 destination > 2022-04-13 04:57:29 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/10.avro with id ABPnzm7Di...7gjoaCdh1]: Finished uploading [Part number 2 containing 5.01 MB] 2022-04-13 04:57:29 destination > 2022-04-13 04:57:29 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/10.avro with id ABPnzm7Di...7gjoaCdh1]: Finished uploading [Part number 3 containing 5.01 MB] 2022-04-13 04:57:29 destination > 2022-04-13 04:57:29 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/10.avro with id ABPnzm7Di...7gjoaCdh1]: Finished uploading [Part number 4 containing 5.01 MB] 2022-04-13 04:57:29 destination > 2022-04-13 04:57:29 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/10.avro with id ABPnzm7Di...7gjoaCdh1]: Finished uploading [Part number 5 containing 5.01 MB] 2022-04-13 04:57:29 destination > 2022-04-13 04:57:29 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/10.avro with id ABPnzm7Di...7gjoaCdh1]: Finished uploading [Part number 6 containing 5.01 MB] 2022-04-13 04:57:29 destination > 2022-04-13 04:57:29 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/10.avro with id ABPnzm7Di...7gjoaCdh1]: Finished uploading [Part number 8 containing 5.01 MB] 2022-04-13 04:57:29 destination > 2022-04-13 04:57:29 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/10.avro with id ABPnzm7Di...7gjoaCdh1]: Finished uploading [Part number 7 containing 5.01 MB] 2022-04-13 04:57:29 source > Advancing bookmark for subscription_changes stream from 2022-03-29T10:03:00.778000+00:00 to 2022-04-12T16:29:47.305000+00:00 2022-04-13 04:57:29 source > Read 1868 records from subscription_changes stream 2022-04-13 04:57:29 source > Finished syncing SourceHubspot 2022-04-13 04:57:29 source > SourceHubspot runtimes: 2022-04-13 04:57:29 source > Syncing stream: ticket_pipelines 2022-04-13 04:57:29 destination > 2022-04-13 04:57:29 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/10.avro with id ABPnzm7Di...7gjoaCdh1]: Finished uploading [Part number 9 containing 5.01 MB] 2022-04-13 04:57:29 destination > 2022-04-13 04:57:29 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/10.avro with id ABPnzm7Di...7gjoaCdh1]: Finished uploading [Part number 10 containing 5.01 MB] 2022-04-13 04:57:29 destination > 2022-04-13 04:57:29 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/10.avro with id ABPnzm7Di...7gjoaCdh1]: Finished uploading [Part number 11 containing 5.01 MB] 2022-04-13 04:57:29 destination > 2022-04-13 04:57:29 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/10.avro with id ABPnzm7Di...7gjoaCdh1]: Finished uploading [Part number 12 containing 5.01 MB] 2022-04-13 04:57:29 destination > 2022-04-13 04:57:29 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/10.avro with id ABPnzm7Di...7gjoaCdh1]: Finished uploading [Part number 13 containing 5.01 MB] 2022-04-13 04:57:29 source > Read 1 records from ticket_pipelines stream 2022-04-13 04:57:29 source > Finished syncing SourceHubspot 2022-04-13 04:57:29 source > SourceHubspot runtimes: 2022-04-13 04:57:29 source > Syncing stream: tickets 2022-04-13 04:57:29 destination > 2022-04-13 04:57:29 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/10.avro with id ABPnzm7Di...7gjoaCdh1]: Finished uploading [Part number 14 containing 5.01 MB] 2022-04-13 04:57:29 destination > 2022-04-13 04:57:29 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/10.avro with id ABPnzm7Di...7gjoaCdh1]: Finished uploading [Part number 15 containing 5.01 MB] 2022-04-13 04:57:29 destination > 2022-04-13 04:57:29 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/10.avro with id ABPnzm7Di...7gjoaCdh1]: Finished uploading [Part number 16 containing 5.01 MB] 2022-04-13 04:57:29 destination > 2022-04-13 04:57:29 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/10.avro with id ABPnzm7Di...7gjoaCdh1]: Finished uploading [Part number 17 containing 5.01 MB] 2022-04-13 04:57:29 destination > 2022-04-13 04:57:29 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/10.avro with id ABPnzm7Di...7gjoaCdh1]: Finished uploading [Part number 18 containing 5.01 MB] 2022-04-13 04:57:29 destination > 2022-04-13 04:57:29 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/10.avro with id ABPnzm7Di...7gjoaCdh1]: Finished uploading [Part number 19 containing 5.01 MB] 2022-04-13 04:57:29 destination > 2022-04-13 04:57:29 INFO a.m.s.MultiPartOutputStream(close):158 - Called close() on [MultipartOutputStream for parts 1 - 10000] 2022-04-13 04:57:29 destination > 2022-04-13 04:57:29 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/10.avro with id ABPnzm7Di...7gjoaCdh1]: Finished uploading [Part number 21 containing 5.01 MB] 2022-04-13 04:57:29 destination > 2022-04-13 04:57:29 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/10.avro with id ABPnzm7Di...7gjoaCdh1]: Finished uploading [Part number 20 containing 5.01 MB] 2022-04-13 04:57:29 destination > 2022-04-13 04:57:29 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/10.avro with id ABPnzm7Di...7gjoaCdh1]: Finished uploading [Part number 22 containing 5.01 MB] 2022-04-13 04:57:29 destination > 2022-04-13 04:57:29 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/10.avro with id ABPnzm7Di...7gjoaCdh1]: Finished uploading [Part number 23 containing 8.14 MB] 2022-04-13 04:57:29 destination > 2022-04-13 04:57:29 INFO a.m.s.StreamTransferManager(complete):395 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/10.avro with id ABPnzm7Di...7gjoaCdh1]: Completed 2022-04-13 04:57:29 destination > 2022-04-13 04:57:29 INFO i.a.i.d.s.S3StorageOperations(loadDataIntoBucket):161 - Uploaded buffer file to storage: d0ea9232-363a-4d2f-a401-fdbd827e476a4121276187664475093.avro -> product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/10.avro (filename: 10.avro) 2022-04-13 04:57:29 destination > 2022-04-13 04:57:29 INFO i.a.i.d.b.BigQueryWriteConfig(addStagedFile):53 - Added staged file: 10.avro 2022-04-13 04:57:29 destination > 2022-04-13 04:57:29 INFO i.a.i.d.r.FileBuffer(deleteFile):81 - Deleting tempFile data d0ea9232-363a-4d2f-a401-fdbd827e476a4121276187664475093.avro 2022-04-13 04:57:29 destination > 2022-04-13 04:57:29 INFO i.a.i.d.r.SerializedBufferingStrategy(lambda$flushAll$2):95 - Flushing buffer of stream engagements_calls (173 MB) 2022-04-13 04:57:29 destination > 2022-04-13 04:57:29 INFO i.a.i.d.b.BigQueryStagingConsumerFactory(lambda$flushBufferFunction$4):115 - Flushing buffer for stream engagements_calls (173 MB) to staging 2022-04-13 04:57:29 destination > 2022-04-13 04:57:29 INFO i.a.i.d.r.BaseSerializedBuffer(flush):138 - Finished writing data to e7e3cbd8-f96a-4fd4-86e1-b32c5cb98b903169400817714157535.avro (173 MB) 2022-04-13 04:57:29 destination > 2022-04-13 04:57:29 INFO i.a.i.d.b.BigQueryGcsOperations(uploadRecordsToStage):108 - Uploading records to staging for stream engagements_calls (dataset hubspot_): product/hubspot__engagements_calls/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-13 04:57:29 destination > 2022-04-13 04:57:29 INFO i.a.i.d.s.u.StreamTransferManagerHelper(getDefault):55 - PartSize arg is set to 5 MB 2022-04-13 04:57:29 destination > 2022-04-13 04:57:29 INFO a.m.s.StreamTransferManager(getMultiPartOutputStreams):329 - Initiated multipart upload to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_calls/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with full ID ABPnzm7mzFPowOcb8kXIiC7EPpz0P6FRfI8BC18dvU8HPtBt9xGFlkb3XKZRjBE1rMGAp9V6 2022-04-13 04:57:29 source > Advancing bookmark for tickets stream from None to 2022-03-24T14:04:42.952000+00:00 2022-04-13 04:57:29 source > Read 85 records from tickets stream 2022-04-13 04:57:29 source > Finished syncing SourceHubspot 2022-04-13 04:57:29 source > SourceHubspot runtimes: 2022-04-13 04:57:29 source > Syncing stream: workflows 2022-04-13 04:57:30 destination > 2022-04-13 04:57:30 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_calls/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm7mz...1rMGAp9V6]: Finished uploading [Part number 1 containing 5.01 MB] 2022-04-13 04:57:30 destination > 2022-04-13 04:57:30 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_calls/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm7mz...1rMGAp9V6]: Finished uploading [Part number 2 containing 5.01 MB] 2022-04-13 04:57:30 destination > 2022-04-13 04:57:30 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_calls/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm7mz...1rMGAp9V6]: Finished uploading [Part number 3 containing 5.01 MB] 2022-04-13 04:57:30 source > Read 84 records from workflows stream 2022-04-13 04:57:30 source > Finished syncing SourceHubspot 2022-04-13 04:57:30 source > SourceHubspot runtimes: 2022-04-13 04:57:30 source > Finished syncing SourceHubspot 2022-04-13 04:57:30 destination > 2022-04-13 04:57:30 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_calls/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm7mz...1rMGAp9V6]: Finished uploading [Part number 6 containing 5.01 MB] 2022-04-13 04:57:30 destination > 2022-04-13 04:57:30 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_calls/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm7mz...1rMGAp9V6]: Finished uploading [Part number 4 containing 5.01 MB] 2022-04-13 04:57:30 destination > 2022-04-13 04:57:30 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_calls/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm7mz...1rMGAp9V6]: Finished uploading [Part number 5 containing 5.01 MB] 2022-04-13 04:57:30 destination > 2022-04-13 04:57:30 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_calls/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm7mz...1rMGAp9V6]: Finished uploading [Part number 7 containing 5.01 MB] 2022-04-13 04:57:30 destination > 2022-04-13 04:57:30 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_calls/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm7mz...1rMGAp9V6]: Finished uploading [Part number 8 containing 5.01 MB] 2022-04-13 04:57:30 destination > 2022-04-13 04:57:30 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_calls/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm7mz...1rMGAp9V6]: Finished uploading [Part number 10 containing 5.01 MB] 2022-04-13 04:57:30 destination > 2022-04-13 04:57:30 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_calls/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm7mz...1rMGAp9V6]: Finished uploading [Part number 9 containing 5.01 MB] 2022-04-13 04:57:30 destination > 2022-04-13 04:57:30 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_calls/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm7mz...1rMGAp9V6]: Finished uploading [Part number 11 containing 5.01 MB] 2022-04-13 04:57:30 destination > 2022-04-13 04:57:30 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_calls/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm7mz...1rMGAp9V6]: Finished uploading [Part number 12 containing 5.01 MB] 2022-04-13 04:57:30 destination > 2022-04-13 04:57:30 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_calls/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm7mz...1rMGAp9V6]: Finished uploading [Part number 13 containing 5.01 MB] 2022-04-13 04:57:30 destination > 2022-04-13 04:57:30 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_calls/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm7mz...1rMGAp9V6]: Finished uploading [Part number 14 containing 5.01 MB] 2022-04-13 04:57:30 destination > 2022-04-13 04:57:30 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_calls/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm7mz...1rMGAp9V6]: Finished uploading [Part number 15 containing 5.01 MB] 2022-04-13 04:57:30 destination > 2022-04-13 04:57:30 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_calls/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm7mz...1rMGAp9V6]: Finished uploading [Part number 16 containing 5.01 MB] 2022-04-13 04:57:30 destination > 2022-04-13 04:57:30 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_calls/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm7mz...1rMGAp9V6]: Finished uploading [Part number 17 containing 5.01 MB] 2022-04-13 04:57:30 destination > 2022-04-13 04:57:30 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_calls/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm7mz...1rMGAp9V6]: Finished uploading [Part number 18 containing 5.01 MB] 2022-04-13 04:57:30 destination > 2022-04-13 04:57:30 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_calls/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm7mz...1rMGAp9V6]: Finished uploading [Part number 19 containing 5.01 MB] 2022-04-13 04:57:30 destination > 2022-04-13 04:57:30 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_calls/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm7mz...1rMGAp9V6]: Finished uploading [Part number 20 containing 5.01 MB] 2022-04-13 04:57:30 destination > 2022-04-13 04:57:30 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_calls/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm7mz...1rMGAp9V6]: Finished uploading [Part number 21 containing 5.01 MB] 2022-04-13 04:57:30 destination > 2022-04-13 04:57:30 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_calls/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm7mz...1rMGAp9V6]: Finished uploading [Part number 22 containing 5.01 MB] 2022-04-13 04:57:30 destination > 2022-04-13 04:57:30 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_calls/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm7mz...1rMGAp9V6]: Finished uploading [Part number 23 containing 5.01 MB] 2022-04-13 04:57:30 destination > 2022-04-13 04:57:30 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_calls/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm7mz...1rMGAp9V6]: Finished uploading [Part number 24 containing 5.01 MB] 2022-04-13 04:57:31 destination > 2022-04-13 04:57:31 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_calls/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm7mz...1rMGAp9V6]: Finished uploading [Part number 25 containing 5.01 MB] 2022-04-13 04:57:31 destination > 2022-04-13 04:57:31 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_calls/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm7mz...1rMGAp9V6]: Finished uploading [Part number 26 containing 5.01 MB] 2022-04-13 04:57:31 destination > 2022-04-13 04:57:31 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_calls/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm7mz...1rMGAp9V6]: Finished uploading [Part number 27 containing 5.01 MB] 2022-04-13 04:57:31 destination > 2022-04-13 04:57:31 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_calls/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm7mz...1rMGAp9V6]: Finished uploading [Part number 28 containing 5.01 MB] 2022-04-13 04:57:31 destination > 2022-04-13 04:57:31 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_calls/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm7mz...1rMGAp9V6]: Finished uploading [Part number 29 containing 5.01 MB] 2022-04-13 04:57:31 destination > 2022-04-13 04:57:31 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_calls/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm7mz...1rMGAp9V6]: Finished uploading [Part number 30 containing 5.01 MB] 2022-04-13 04:57:31 destination > 2022-04-13 04:57:31 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_calls/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm7mz...1rMGAp9V6]: Finished uploading [Part number 31 containing 5.01 MB] 2022-04-13 04:57:31 destination > 2022-04-13 04:57:31 INFO a.m.s.MultiPartOutputStream(close):158 - Called close() on [MultipartOutputStream for parts 1 - 10000] 2022-04-13 04:57:31 destination > 2022-04-13 04:57:31 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_calls/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm7mz...1rMGAp9V6]: Finished uploading [Part number 32 containing 5.01 MB] 2022-04-13 04:57:31 destination > 2022-04-13 04:57:31 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_calls/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm7mz...1rMGAp9V6]: Finished uploading [Part number 33 containing 5.01 MB] 2022-04-13 04:57:31 destination > 2022-04-13 04:57:31 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_calls/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm7mz...1rMGAp9V6]: Finished uploading [Part number 34 containing 8.46 MB] 2022-04-13 04:57:31 destination > 2022-04-13 04:57:31 INFO a.m.s.StreamTransferManager(complete):395 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_calls/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm7mz...1rMGAp9V6]: Completed 2022-04-13 04:57:31 destination > 2022-04-13 04:57:31 INFO i.a.i.d.s.S3StorageOperations(loadDataIntoBucket):161 - Uploaded buffer file to storage: e7e3cbd8-f96a-4fd4-86e1-b32c5cb98b903169400817714157535.avro -> product/hubspot__engagements_calls/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro (filename: 2.avro) 2022-04-13 04:57:31 destination > 2022-04-13 04:57:31 INFO i.a.i.d.b.BigQueryWriteConfig(addStagedFile):53 - Added staged file: 2.avro 2022-04-13 04:57:31 destination > 2022-04-13 04:57:31 INFO i.a.i.d.r.FileBuffer(deleteFile):81 - Deleting tempFile data e7e3cbd8-f96a-4fd4-86e1-b32c5cb98b903169400817714157535.avro 2022-04-13 04:57:31 destination > 2022-04-13 04:57:31 INFO i.a.i.d.r.SerializedBufferingStrategy(lambda$flushAll$2):95 - Flushing buffer of stream forms (65 KB) 2022-04-13 04:57:31 destination > 2022-04-13 04:57:31 INFO i.a.i.d.b.BigQueryStagingConsumerFactory(lambda$flushBufferFunction$4):115 - Flushing buffer for stream forms (65 KB) to staging 2022-04-13 04:57:31 destination > 2022-04-13 04:57:31 INFO i.a.i.d.r.BaseSerializedBuffer(flush):138 - Finished writing data to a4b901d8-365e-4e20-ab16-4b813f86153b4714667559834024086.avro (67 KB) 2022-04-13 04:57:31 destination > 2022-04-13 04:57:31 INFO i.a.i.d.b.BigQueryGcsOperations(uploadRecordsToStage):108 - Uploading records to staging for stream forms (dataset hubspot_): product/hubspot__forms/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-13 04:57:31 destination > 2022-04-13 04:57:31 INFO i.a.i.d.s.u.StreamTransferManagerHelper(getDefault):55 - PartSize arg is set to 5 MB 2022-04-13 04:57:31 destination > 2022-04-13 04:57:31 INFO a.m.s.StreamTransferManager(getMultiPartOutputStreams):329 - Initiated multipart upload to mansagroup-airbyte-bigquery-buffer/product/hubspot__forms/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with full ID ABPnzm6PjxR16RGKAmpN-egmxjz0VAsro250KdZmr-I0Z_pZb8bmMIyTUNVxEfA4yUDlwH8u 2022-04-13 04:57:31 destination > 2022-04-13 04:57:31 INFO a.m.s.MultiPartOutputStream(close):158 - Called close() on [MultipartOutputStream for parts 1 - 10000] 2022-04-13 04:57:31 destination > 2022-04-13 04:57:31 INFO a.m.s.StreamTransferManager(complete):367 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__forms/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm6Pj...4yUDlwH8u]: Uploading leftover stream [Part number 1 containing 0.07 MB] 2022-04-13 04:57:31 destination > 2022-04-13 04:57:31 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__forms/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm6Pj...4yUDlwH8u]: Finished uploading [Part number 1 containing 0.07 MB] 2022-04-13 04:57:31 destination > 2022-04-13 04:57:31 INFO a.m.s.StreamTransferManager(complete):395 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__forms/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm6Pj...4yUDlwH8u]: Completed 2022-04-13 04:57:31 destination > 2022-04-13 04:57:31 INFO i.a.i.d.s.S3StorageOperations(loadDataIntoBucket):161 - Uploaded buffer file to storage: a4b901d8-365e-4e20-ab16-4b813f86153b4714667559834024086.avro -> product/hubspot__forms/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro (filename: 1.avro) 2022-04-13 04:57:31 destination > 2022-04-13 04:57:31 INFO i.a.i.d.b.BigQueryWriteConfig(addStagedFile):53 - Added staged file: 1.avro 2022-04-13 04:57:31 destination > 2022-04-13 04:57:31 INFO i.a.i.d.r.FileBuffer(deleteFile):81 - Deleting tempFile data a4b901d8-365e-4e20-ab16-4b813f86153b4714667559834024086.avro 2022-04-13 04:57:31 destination > 2022-04-13 04:57:31 INFO i.a.i.d.r.SerializedBufferingStrategy(lambda$flushAll$2):95 - Flushing buffer of stream engagements_tasks (142 MB) 2022-04-13 04:57:31 destination > 2022-04-13 04:57:31 INFO i.a.i.d.b.BigQueryStagingConsumerFactory(lambda$flushBufferFunction$4):115 - Flushing buffer for stream engagements_tasks (142 MB) to staging 2022-04-13 04:57:31 destination > 2022-04-13 04:57:31 INFO i.a.i.d.r.BaseSerializedBuffer(flush):138 - Finished writing data to 33fa1766-10db-4c24-89a8-10a1be75257911315728255652891267.avro (142 MB) 2022-04-13 04:57:31 destination > 2022-04-13 04:57:31 INFO i.a.i.d.b.BigQueryGcsOperations(uploadRecordsToStage):108 - Uploading records to staging for stream engagements_tasks (dataset hubspot_): product/hubspot__engagements_tasks/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-13 04:57:31 destination > 2022-04-13 04:57:31 INFO i.a.i.d.s.u.StreamTransferManagerHelper(getDefault):55 - PartSize arg is set to 5 MB 2022-04-13 04:57:31 destination > 2022-04-13 04:57:31 INFO a.m.s.StreamTransferManager(getMultiPartOutputStreams):329 - Initiated multipart upload to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_tasks/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with full ID ABPnzm5Hg-e_vZdzzs8uMPhMI7t8obE_fMfYy1TfBlAKtDzLggZS7YEsxHwEtsTjgY0-SB2h 2022-04-13 04:57:32 destination > 2022-04-13 04:57:32 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_tasks/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm5Hg...jgY0-SB2h]: Finished uploading [Part number 1 containing 5.01 MB] 2022-04-13 04:57:32 destination > 2022-04-13 04:57:32 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_tasks/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm5Hg...jgY0-SB2h]: Finished uploading [Part number 2 containing 5.01 MB] 2022-04-13 04:57:32 destination > 2022-04-13 04:57:32 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_tasks/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm5Hg...jgY0-SB2h]: Finished uploading [Part number 4 containing 5.01 MB] 2022-04-13 04:57:32 destination > 2022-04-13 04:57:32 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_tasks/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm5Hg...jgY0-SB2h]: Finished uploading [Part number 3 containing 5.01 MB] 2022-04-13 04:57:32 destination > 2022-04-13 04:57:32 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_tasks/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm5Hg...jgY0-SB2h]: Finished uploading [Part number 5 containing 5.01 MB] 2022-04-13 04:57:32 destination > 2022-04-13 04:57:32 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_tasks/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm5Hg...jgY0-SB2h]: Finished uploading [Part number 6 containing 5.01 MB] 2022-04-13 04:57:32 destination > 2022-04-13 04:57:32 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_tasks/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm5Hg...jgY0-SB2h]: Finished uploading [Part number 8 containing 5.01 MB] 2022-04-13 04:57:32 destination > 2022-04-13 04:57:32 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_tasks/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm5Hg...jgY0-SB2h]: Finished uploading [Part number 7 containing 5.01 MB] 2022-04-13 04:57:32 destination > 2022-04-13 04:57:32 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_tasks/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm5Hg...jgY0-SB2h]: Finished uploading [Part number 9 containing 5.01 MB] 2022-04-13 04:57:32 destination > 2022-04-13 04:57:32 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_tasks/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm5Hg...jgY0-SB2h]: Finished uploading [Part number 10 containing 5.01 MB] 2022-04-13 04:57:32 destination > 2022-04-13 04:57:32 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_tasks/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm5Hg...jgY0-SB2h]: Finished uploading [Part number 11 containing 5.01 MB] 2022-04-13 04:57:32 destination > 2022-04-13 04:57:32 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_tasks/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm5Hg...jgY0-SB2h]: Finished uploading [Part number 13 containing 5.01 MB] 2022-04-13 04:57:32 destination > 2022-04-13 04:57:32 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_tasks/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm5Hg...jgY0-SB2h]: Finished uploading [Part number 12 containing 5.01 MB] 2022-04-13 04:57:32 destination > 2022-04-13 04:57:32 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_tasks/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm5Hg...jgY0-SB2h]: Finished uploading [Part number 15 containing 5.01 MB] 2022-04-13 04:57:32 destination > 2022-04-13 04:57:32 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_tasks/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm5Hg...jgY0-SB2h]: Finished uploading [Part number 14 containing 5.01 MB] 2022-04-13 04:57:32 destination > 2022-04-13 04:57:32 INFO a.m.s.MultiPartOutputStream(close):158 - Called close() on [MultipartOutputStream for parts 1 - 10000] 2022-04-13 04:57:32 destination > 2022-04-13 04:57:32 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_tasks/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm5Hg...jgY0-SB2h]: Finished uploading [Part number 19 containing 5.01 MB] 2022-04-13 04:57:32 destination > 2022-04-13 04:57:32 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_tasks/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm5Hg...jgY0-SB2h]: Finished uploading [Part number 16 containing 5.01 MB] 2022-04-13 04:57:32 destination > 2022-04-13 04:57:32 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_tasks/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm5Hg...jgY0-SB2h]: Finished uploading [Part number 20 containing 5.01 MB] 2022-04-13 04:57:32 destination > 2022-04-13 04:57:32 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_tasks/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm5Hg...jgY0-SB2h]: Finished uploading [Part number 23 containing 5.01 MB] 2022-04-13 04:57:32 destination > 2022-04-13 04:57:32 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_tasks/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm5Hg...jgY0-SB2h]: Finished uploading [Part number 17 containing 5.01 MB] 2022-04-13 04:57:32 destination > 2022-04-13 04:57:32 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_tasks/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm5Hg...jgY0-SB2h]: Finished uploading [Part number 18 containing 5.01 MB] 2022-04-13 04:57:32 destination > 2022-04-13 04:57:32 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_tasks/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm5Hg...jgY0-SB2h]: Finished uploading [Part number 22 containing 5.01 MB] 2022-04-13 04:57:32 destination > 2022-04-13 04:57:32 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_tasks/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm5Hg...jgY0-SB2h]: Finished uploading [Part number 21 containing 5.01 MB] 2022-04-13 04:57:32 destination > 2022-04-13 04:57:32 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_tasks/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm5Hg...jgY0-SB2h]: Finished uploading [Part number 24 containing 5.01 MB] 2022-04-13 04:57:32 destination > 2022-04-13 04:57:32 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_tasks/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm5Hg...jgY0-SB2h]: Finished uploading [Part number 25 containing 5.01 MB] 2022-04-13 04:57:32 destination > 2022-04-13 04:57:32 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_tasks/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm5Hg...jgY0-SB2h]: Finished uploading [Part number 27 containing 5.01 MB] 2022-04-13 04:57:32 destination > 2022-04-13 04:57:32 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_tasks/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm5Hg...jgY0-SB2h]: Finished uploading [Part number 26 containing 5.01 MB] 2022-04-13 04:57:32 destination > 2022-04-13 04:57:32 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_tasks/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm5Hg...jgY0-SB2h]: Finished uploading [Part number 28 containing 7.19 MB] 2022-04-13 04:57:32 destination > 2022-04-13 04:57:32 INFO a.m.s.StreamTransferManager(complete):395 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_tasks/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm5Hg...jgY0-SB2h]: Completed 2022-04-13 04:57:32 destination > 2022-04-13 04:57:32 INFO i.a.i.d.s.S3StorageOperations(loadDataIntoBucket):161 - Uploaded buffer file to storage: 33fa1766-10db-4c24-89a8-10a1be75257911315728255652891267.avro -> product/hubspot__engagements_tasks/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro (filename: 1.avro) 2022-04-13 04:57:32 destination > 2022-04-13 04:57:32 INFO i.a.i.d.b.BigQueryWriteConfig(addStagedFile):53 - Added staged file: 1.avro 2022-04-13 04:57:32 destination > 2022-04-13 04:57:32 INFO i.a.i.d.r.FileBuffer(deleteFile):81 - Deleting tempFile data 33fa1766-10db-4c24-89a8-10a1be75257911315728255652891267.avro 2022-04-13 04:57:32 destination > 2022-04-13 04:57:32 INFO i.a.i.d.r.SerializedBufferingStrategy(close):119 - Closing buffer for stream owners 2022-04-13 04:57:32 destination > 2022-04-13 04:57:32 INFO i.a.i.d.r.SerializedBufferingStrategy(close):119 - Closing buffer for stream form_submissions 2022-04-13 04:57:32 destination > 2022-04-13 04:57:32 INFO i.a.i.d.r.SerializedBufferingStrategy(close):119 - Closing buffer for stream marketing_emails 2022-04-13 04:57:32 destination > 2022-04-13 04:57:32 INFO i.a.i.d.r.SerializedBufferingStrategy(close):119 - Closing buffer for stream engagements_notes 2022-04-13 04:57:32 destination > 2022-04-13 04:57:32 INFO i.a.i.d.r.SerializedBufferingStrategy(close):119 - Closing buffer for stream engagements_meetings 2022-04-13 04:57:32 destination > 2022-04-13 04:57:32 INFO i.a.i.d.r.SerializedBufferingStrategy(close):119 - Closing buffer for stream subscription_changes 2022-04-13 04:57:32 destination > 2022-04-13 04:57:32 INFO i.a.i.d.r.SerializedBufferingStrategy(close):119 - Closing buffer for stream engagements_emails 2022-04-13 04:57:32 destination > 2022-04-13 04:57:32 INFO i.a.i.d.r.SerializedBufferingStrategy(close):119 - Closing buffer for stream engagements_calls 2022-04-13 04:57:32 destination > 2022-04-13 04:57:32 INFO i.a.i.d.r.SerializedBufferingStrategy(close):119 - Closing buffer for stream forms 2022-04-13 04:57:32 destination > 2022-04-13 04:57:32 INFO i.a.i.d.r.SerializedBufferingStrategy(close):119 - Closing buffer for stream engagements_tasks 2022-04-13 04:57:32 destination > 2022-04-13 04:57:32 INFO i.a.i.d.r.SerializedBufferingStrategy(lambda$addRecord$0):55 - Starting a new buffer for stream subscription_changes (current state: 0 bytes in 0 buffers) 2022-04-13 04:57:32 destination > 2022-04-13 04:57:32 INFO i.a.i.d.g.u.GcsUtils(getDefaultAvroSchema):25 - Default schema. 2022-04-13 04:57:32 destination > 2022-04-13 04:57:32 INFO i.a.i.d.r.SerializedBufferingStrategy(lambda$addRecord$0):55 - Starting a new buffer for stream ticket_pipelines (current state: 753 KB in 1 buffers) 2022-04-13 04:57:32 destination > 2022-04-13 04:57:32 INFO i.a.i.d.g.u.GcsUtils(getDefaultAvroSchema):25 - Default schema. 2022-04-13 04:57:32 destination > 2022-04-13 04:57:32 INFO i.a.i.d.r.SerializedBufferingStrategy(lambda$addRecord$0):55 - Starting a new buffer for stream tickets (current state: 753 KB in 2 buffers) 2022-04-13 04:57:32 destination > 2022-04-13 04:57:32 INFO i.a.i.d.g.u.GcsUtils(getDefaultAvroSchema):25 - Default schema. 2022-04-13 04:57:32 destination > 2022-04-13 04:57:32 INFO i.a.i.d.r.SerializedBufferingStrategy(lambda$addRecord$0):55 - Starting a new buffer for stream workflows (current state: 1008 KB in 3 buffers) 2022-04-13 04:57:32 destination > 2022-04-13 04:57:32 INFO i.a.i.d.g.u.GcsUtils(getDefaultAvroSchema):25 - Default schema. 2022-04-13 04:57:33 destination > 2022-04-13 04:57:33 INFO i.a.i.b.FailureTrackingAirbyteMessageConsumer(close):65 - Airbyte message consumer: succeeded. 2022-04-13 04:57:33 destination > 2022-04-13 04:57:33 INFO i.a.i.d.b.BufferedStreamConsumer(close):170 - executing on success close procedure. 2022-04-13 04:57:33 destination > 2022-04-13 04:57:33 INFO i.a.i.d.r.SerializedBufferingStrategy(flushAll):92 - Flushing all 4 current buffers (1 MB in total) 2022-04-13 04:57:33 destination > 2022-04-13 04:57:33 INFO i.a.i.d.r.SerializedBufferingStrategy(lambda$flushAll$2):95 - Flushing buffer of stream tickets (255 KB) 2022-04-13 04:57:33 destination > 2022-04-13 04:57:33 INFO i.a.i.d.b.BigQueryStagingConsumerFactory(lambda$flushBufferFunction$4):115 - Flushing buffer for stream tickets (255 KB) to staging 2022-04-13 04:57:33 destination > 2022-04-13 04:57:33 INFO i.a.i.d.r.BaseSerializedBuffer(flush):138 - Finished writing data to c3763650-9df3-49a1-a541-5302e2816d1d9900448589596821641.avro (295 KB) 2022-04-13 04:57:33 destination > 2022-04-13 04:57:33 INFO i.a.i.d.b.BigQueryGcsOperations(uploadRecordsToStage):108 - Uploading records to staging for stream tickets (dataset hubspot_): product/hubspot__tickets/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-13 04:57:33 destination > 2022-04-13 04:57:33 INFO i.a.i.d.s.u.StreamTransferManagerHelper(getDefault):55 - PartSize arg is set to 5 MB 2022-04-13 04:57:33 destination > 2022-04-13 04:57:33 INFO a.m.s.StreamTransferManager(getMultiPartOutputStreams):329 - Initiated multipart upload to mansagroup-airbyte-bigquery-buffer/product/hubspot__tickets/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with full ID ABPnzm6wkhlxFkSTGCziNXm2LM4AbkYqtuJIClyLM0hP5oS9XNia1p8kvg5j2M1rm1ik0fHj 2022-04-13 04:57:33 destination > 2022-04-13 04:57:33 INFO a.m.s.MultiPartOutputStream(close):158 - Called close() on [MultipartOutputStream for parts 1 - 10000] 2022-04-13 04:57:33 destination > 2022-04-13 04:57:33 INFO a.m.s.StreamTransferManager(complete):367 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__tickets/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm6wk...rm1ik0fHj]: Uploading leftover stream [Part number 1 containing 0.29 MB] 2022-04-13 04:57:33 destination > 2022-04-13 04:57:33 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__tickets/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm6wk...rm1ik0fHj]: Finished uploading [Part number 1 containing 0.29 MB] 2022-04-13 04:57:33 destination > 2022-04-13 04:57:33 INFO a.m.s.StreamTransferManager(complete):395 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__tickets/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm6wk...rm1ik0fHj]: Completed 2022-04-13 04:57:33 destination > 2022-04-13 04:57:33 INFO i.a.i.d.s.S3StorageOperations(loadDataIntoBucket):161 - Uploaded buffer file to storage: c3763650-9df3-49a1-a541-5302e2816d1d9900448589596821641.avro -> product/hubspot__tickets/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro (filename: 1.avro) 2022-04-13 04:57:33 destination > 2022-04-13 04:57:33 INFO i.a.i.d.b.BigQueryWriteConfig(addStagedFile):53 - Added staged file: 1.avro 2022-04-13 04:57:33 destination > 2022-04-13 04:57:33 INFO i.a.i.d.r.FileBuffer(deleteFile):81 - Deleting tempFile data c3763650-9df3-49a1-a541-5302e2816d1d9900448589596821641.avro 2022-04-13 04:57:33 destination > 2022-04-13 04:57:33 INFO i.a.i.d.r.SerializedBufferingStrategy(lambda$flushAll$2):95 - Flushing buffer of stream subscription_changes (753 KB) 2022-04-13 04:57:33 destination > 2022-04-13 04:57:33 INFO i.a.i.d.b.BigQueryStagingConsumerFactory(lambda$flushBufferFunction$4):115 - Flushing buffer for stream subscription_changes (753 KB) to staging 2022-04-13 04:57:33 destination > 2022-04-13 04:57:33 INFO i.a.i.d.r.BaseSerializedBuffer(flush):138 - Finished writing data to d831611b-b466-4ebb-8f6c-3a451887a2749380422476221089926.avro (783 KB) 2022-04-13 04:57:33 destination > 2022-04-13 04:57:33 INFO i.a.i.d.b.BigQueryGcsOperations(uploadRecordsToStage):108 - Uploading records to staging for stream subscription_changes (dataset hubspot_): product/hubspot__subscription_changes/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-13 04:57:33 destination > 2022-04-13 04:57:33 INFO i.a.i.d.s.u.StreamTransferManagerHelper(getDefault):55 - PartSize arg is set to 5 MB 2022-04-13 04:57:33 destination > 2022-04-13 04:57:33 INFO a.m.s.StreamTransferManager(getMultiPartOutputStreams):329 - Initiated multipart upload to mansagroup-airbyte-bigquery-buffer/product/hubspot__subscription_changes/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with full ID ABPnzm5JekwUxhwCcOvNA6QQbcoNE9D4RBZUZ-ebR4SaZBHRo62FVQ4P-6LJPIOpFtJ5I-RH 2022-04-13 04:57:33 destination > 2022-04-13 04:57:33 INFO a.m.s.MultiPartOutputStream(close):158 - Called close() on [MultipartOutputStream for parts 1 - 10000] 2022-04-13 04:57:33 destination > 2022-04-13 04:57:33 INFO a.m.s.StreamTransferManager(complete):367 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__subscription_changes/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm5Je...pFtJ5I-RH]: Uploading leftover stream [Part number 1 containing 0.77 MB] 2022-04-13 04:57:33 destination > 2022-04-13 04:57:33 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__subscription_changes/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm5Je...pFtJ5I-RH]: Finished uploading [Part number 1 containing 0.77 MB] 2022-04-13 04:57:33 destination > 2022-04-13 04:57:33 INFO a.m.s.StreamTransferManager(complete):395 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__subscription_changes/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro with id ABPnzm5Je...pFtJ5I-RH]: Completed 2022-04-13 04:57:33 destination > 2022-04-13 04:57:33 INFO i.a.i.d.s.S3StorageOperations(loadDataIntoBucket):161 - Uploaded buffer file to storage: d831611b-b466-4ebb-8f6c-3a451887a2749380422476221089926.avro -> product/hubspot__subscription_changes/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro (filename: 2.avro) 2022-04-13 04:57:33 destination > 2022-04-13 04:57:33 INFO i.a.i.d.b.BigQueryWriteConfig(addStagedFile):53 - Added staged file: 2.avro 2022-04-13 04:57:33 destination > 2022-04-13 04:57:33 INFO i.a.i.d.r.FileBuffer(deleteFile):81 - Deleting tempFile data d831611b-b466-4ebb-8f6c-3a451887a2749380422476221089926.avro 2022-04-13 04:57:33 destination > 2022-04-13 04:57:33 INFO i.a.i.d.r.SerializedBufferingStrategy(lambda$flushAll$2):95 - Flushing buffer of stream workflows (63 KB) 2022-04-13 04:57:33 destination > 2022-04-13 04:57:33 INFO i.a.i.d.b.BigQueryStagingConsumerFactory(lambda$flushBufferFunction$4):115 - Flushing buffer for stream workflows (63 KB) to staging 2022-04-13 04:57:33 destination > 2022-04-13 04:57:33 INFO i.a.i.d.r.BaseSerializedBuffer(flush):138 - Finished writing data to b056cc0d-d954-428a-a385-0b5ce887c15e11518014753118022548.avro (94 KB) 2022-04-13 04:57:33 destination > 2022-04-13 04:57:33 INFO i.a.i.d.b.BigQueryGcsOperations(uploadRecordsToStage):108 - Uploading records to staging for stream workflows (dataset hubspot_): product/hubspot__workflows/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-13 04:57:33 destination > 2022-04-13 04:57:33 INFO i.a.i.d.s.u.StreamTransferManagerHelper(getDefault):55 - PartSize arg is set to 5 MB 2022-04-13 04:57:33 destination > 2022-04-13 04:57:33 INFO a.m.s.StreamTransferManager(getMultiPartOutputStreams):329 - Initiated multipart upload to mansagroup-airbyte-bigquery-buffer/product/hubspot__workflows/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with full ID ABPnzm4OWM0a7t2Q_fA6dVZnEd2oEUdQrTnIohy_th99lgX-OIHn-vi7GFnGiRHKe2-Ko4hH 2022-04-13 04:57:33 destination > 2022-04-13 04:57:33 INFO a.m.s.MultiPartOutputStream(close):158 - Called close() on [MultipartOutputStream for parts 1 - 10000] 2022-04-13 04:57:33 destination > 2022-04-13 04:57:33 INFO a.m.s.StreamTransferManager(complete):367 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__workflows/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm4OW...Ke2-Ko4hH]: Uploading leftover stream [Part number 1 containing 0.09 MB] 2022-04-13 04:57:33 destination > 2022-04-13 04:57:33 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__workflows/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm4OW...Ke2-Ko4hH]: Finished uploading [Part number 1 containing 0.09 MB] 2022-04-13 04:57:33 destination > 2022-04-13 04:57:33 INFO a.m.s.StreamTransferManager(complete):395 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__workflows/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm4OW...Ke2-Ko4hH]: Completed 2022-04-13 04:57:33 destination > 2022-04-13 04:57:33 INFO i.a.i.d.s.S3StorageOperations(loadDataIntoBucket):161 - Uploaded buffer file to storage: b056cc0d-d954-428a-a385-0b5ce887c15e11518014753118022548.avro -> product/hubspot__workflows/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro (filename: 1.avro) 2022-04-13 04:57:33 destination > 2022-04-13 04:57:33 INFO i.a.i.d.b.BigQueryWriteConfig(addStagedFile):53 - Added staged file: 1.avro 2022-04-13 04:57:33 destination > 2022-04-13 04:57:33 INFO i.a.i.d.r.FileBuffer(deleteFile):81 - Deleting tempFile data b056cc0d-d954-428a-a385-0b5ce887c15e11518014753118022548.avro 2022-04-13 04:57:33 destination > 2022-04-13 04:57:33 INFO i.a.i.d.r.SerializedBufferingStrategy(lambda$flushAll$2):95 - Flushing buffer of stream ticket_pipelines (329 bytes) 2022-04-13 04:57:33 destination > 2022-04-13 04:57:33 INFO i.a.i.d.b.BigQueryStagingConsumerFactory(lambda$flushBufferFunction$4):115 - Flushing buffer for stream ticket_pipelines (329 bytes) to staging 2022-04-13 04:57:33 destination > 2022-04-13 04:57:33 INFO i.a.i.d.r.BaseSerializedBuffer(flush):138 - Finished writing data to bfe35cc2-1cb4-4ca0-86af-e428bfbe79be18089068912760338130.avro (2 KB) 2022-04-13 04:57:33 destination > 2022-04-13 04:57:33 INFO i.a.i.d.b.BigQueryGcsOperations(uploadRecordsToStage):108 - Uploading records to staging for stream ticket_pipelines (dataset hubspot_): product/hubspot__ticket_pipelines/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-13 04:57:33 destination > 2022-04-13 04:57:33 INFO i.a.i.d.s.u.StreamTransferManagerHelper(getDefault):55 - PartSize arg is set to 5 MB 2022-04-13 04:57:33 destination > 2022-04-13 04:57:33 INFO a.m.s.StreamTransferManager(getMultiPartOutputStreams):329 - Initiated multipart upload to mansagroup-airbyte-bigquery-buffer/product/hubspot__ticket_pipelines/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with full ID ABPnzm6xQrPaUEXjnB-0qcupZ-qPDy4R49mPjvqcxWs2YgfPgHblWosjB-xJ2XPJBTrsiFFl 2022-04-13 04:57:33 destination > 2022-04-13 04:57:33 INFO a.m.s.MultiPartOutputStream(close):158 - Called close() on [MultipartOutputStream for parts 1 - 10000] 2022-04-13 04:57:33 destination > 2022-04-13 04:57:33 INFO a.m.s.StreamTransferManager(complete):367 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__ticket_pipelines/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm6xQ...JBTrsiFFl]: Uploading leftover stream [Part number 1 containing 0.00 MB] 2022-04-13 04:57:33 destination > 2022-04-13 04:57:33 INFO a.m.s.StreamTransferManager(uploadStreamPart):558 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__ticket_pipelines/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm6xQ...JBTrsiFFl]: Finished uploading [Part number 1 containing 0.00 MB] 2022-04-13 04:57:35 destination > 2022-04-13 04:57:35 INFO a.m.s.StreamTransferManager(complete):395 - [Manager uploading to mansagroup-airbyte-bigquery-buffer/product/hubspot__ticket_pipelines/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro with id ABPnzm6xQ...JBTrsiFFl]: Completed 2022-04-13 04:57:35 destination > 2022-04-13 04:57:35 INFO i.a.i.d.s.S3StorageOperations(loadDataIntoBucket):161 - Uploaded buffer file to storage: bfe35cc2-1cb4-4ca0-86af-e428bfbe79be18089068912760338130.avro -> product/hubspot__ticket_pipelines/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro (filename: 1.avro) 2022-04-13 04:57:35 destination > 2022-04-13 04:57:35 INFO i.a.i.d.b.BigQueryWriteConfig(addStagedFile):53 - Added staged file: 1.avro 2022-04-13 04:57:35 destination > 2022-04-13 04:57:35 INFO i.a.i.d.r.FileBuffer(deleteFile):81 - Deleting tempFile data bfe35cc2-1cb4-4ca0-86af-e428bfbe79be18089068912760338130.avro 2022-04-13 04:57:35 destination > 2022-04-13 04:57:35 INFO i.a.i.d.r.SerializedBufferingStrategy(close):119 - Closing buffer for stream tickets 2022-04-13 04:57:35 destination > 2022-04-13 04:57:35 INFO i.a.i.d.r.SerializedBufferingStrategy(close):119 - Closing buffer for stream subscription_changes 2022-04-13 04:57:35 destination > 2022-04-13 04:57:35 INFO i.a.i.d.r.SerializedBufferingStrategy(close):119 - Closing buffer for stream workflows 2022-04-13 04:57:35 destination > 2022-04-13 04:57:35 INFO i.a.i.d.r.SerializedBufferingStrategy(close):119 - Closing buffer for stream ticket_pipelines 2022-04-13 04:57:35 destination > 2022-04-13 04:57:35 INFO i.a.i.d.b.BigQueryStagingConsumerFactory(lambda$onCloseFunction$5):137 - Copying into tables in destination started for 26 streams 2022-04-13 04:57:35 destination > 2022-04-13 04:57:35 INFO i.a.i.d.b.BigQueryGcsOperations(copyIntoTmpTableFromStage):122 - Uploading records from staging files to tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_fvj_marketing_emails}} (dataset hubspot_): [1.avro] 2022-04-13 04:57:35 destination > 2022-04-13 04:57:35 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):126 - Uploading staged file: gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__marketing_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro 2022-04-13 04:57:35 destination > 2022-04-13 04:57:35 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):135 - [JobId{project=mansagroup-datascience, job=12268743-e873-4e58-a0d9-63ed189fe852, location=europe-west4}] Created a new job to upload records to tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_fvj_marketing_emails}} (dataset hubspot_): Job{job=JobId{project=mansagroup-datascience, job=12268743-e873-4e58-a0d9-63ed189fe852, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649825855629, endTime=null, startTime=1649825855725, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=EhAxWhd7XYw7Ai+46cdbjA==, generatedId=mansagroup-datascience:europe-west4.12268743-e873-4e58-a0d9-63ed189fe852, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/12268743-e873-4e58-a0d9-63ed189fe852?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_fvj_marketing_emails}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__marketing_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} 2022-04-13 04:57:35 destination > 2022-04-13 04:57:35 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):319 - Waiting for job finish Job{job=JobId{project=mansagroup-datascience, job=12268743-e873-4e58-a0d9-63ed189fe852, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649825855629, endTime=null, startTime=1649825855725, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=EhAxWhd7XYw7Ai+46cdbjA==, generatedId=mansagroup-datascience:europe-west4.12268743-e873-4e58-a0d9-63ed189fe852, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/12268743-e873-4e58-a0d9-63ed189fe852?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_fvj_marketing_emails}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__marketing_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}}. Status: JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 04:57:38 destination > 2022-04-13 04:57:38 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):321 - Job finish Job{job=JobId{project=mansagroup-datascience, job=12268743-e873-4e58-a0d9-63ed189fe852, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649825855629, endTime=null, startTime=1649825855725, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=EhAxWhd7XYw7Ai+46cdbjA==, generatedId=mansagroup-datascience:europe-west4.12268743-e873-4e58-a0d9-63ed189fe852, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/12268743-e873-4e58-a0d9-63ed189fe852?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_fvj_marketing_emails}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__marketing_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} with status JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 04:57:38 destination > 2022-04-13 04:57:38 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):139 - [JobId{project=mansagroup-datascience, job=12268743-e873-4e58-a0d9-63ed189fe852, location=europe-west4}] Tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_fvj_marketing_emails}} (dataset hubspot_) is successfully appended with staging files 2022-04-13 04:57:38 destination > 2022-04-13 04:57:38 INFO i.a.i.d.b.BigQueryGcsOperations(copyIntoTargetTable):162 - Copying data from tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_fvj_marketing_emails}} to target table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_raw_marketing_emails}} (dataset hubspot_, sync mode overwrite) 2022-04-13 04:57:39 destination > 2022-04-13 04:57:39 INFO i.a.i.d.b.u.AbstractBigQueryUploader(copyTable):185 - successfully copied table: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_fvj_marketing_emails}} to table: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_raw_marketing_emails}} 2022-04-13 04:57:39 destination > 2022-04-13 04:57:39 INFO i.a.i.d.b.BigQueryGcsOperations(copyIntoTmpTableFromStage):122 - Uploading records from staging files to tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_hjh_engagements_meetings}} (dataset hubspot_): [1.avro] 2022-04-13 04:57:39 destination > 2022-04-13 04:57:39 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):126 - Uploading staged file: gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_meetings/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro 2022-04-13 04:57:39 destination > 2022-04-13 04:57:39 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):135 - [JobId{project=mansagroup-datascience, job=c046c014-aeae-4667-9ddd-b447c9bfda93, location=europe-west4}] Created a new job to upload records to tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_hjh_engagements_meetings}} (dataset hubspot_): Job{job=JobId{project=mansagroup-datascience, job=c046c014-aeae-4667-9ddd-b447c9bfda93, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649825859243, endTime=null, startTime=1649825859333, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=9xTe/aL6reM75qdqFgS4PQ==, generatedId=mansagroup-datascience:europe-west4.c046c014-aeae-4667-9ddd-b447c9bfda93, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/c046c014-aeae-4667-9ddd-b447c9bfda93?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_hjh_engagements_meetings}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_meetings/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} 2022-04-13 04:57:39 destination > 2022-04-13 04:57:39 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):319 - Waiting for job finish Job{job=JobId{project=mansagroup-datascience, job=c046c014-aeae-4667-9ddd-b447c9bfda93, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649825859243, endTime=null, startTime=1649825859333, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=9xTe/aL6reM75qdqFgS4PQ==, generatedId=mansagroup-datascience:europe-west4.c046c014-aeae-4667-9ddd-b447c9bfda93, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/c046c014-aeae-4667-9ddd-b447c9bfda93?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_hjh_engagements_meetings}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_meetings/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}}. Status: JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 04:57:41 destination > 2022-04-13 04:57:41 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):321 - Job finish Job{job=JobId{project=mansagroup-datascience, job=c046c014-aeae-4667-9ddd-b447c9bfda93, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649825859243, endTime=null, startTime=1649825859333, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=9xTe/aL6reM75qdqFgS4PQ==, generatedId=mansagroup-datascience:europe-west4.c046c014-aeae-4667-9ddd-b447c9bfda93, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/c046c014-aeae-4667-9ddd-b447c9bfda93?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_hjh_engagements_meetings}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_meetings/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} with status JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 04:57:41 destination > 2022-04-13 04:57:41 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):139 - [JobId{project=mansagroup-datascience, job=c046c014-aeae-4667-9ddd-b447c9bfda93, location=europe-west4}] Tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_hjh_engagements_meetings}} (dataset hubspot_) is successfully appended with staging files 2022-04-13 04:57:41 destination > 2022-04-13 04:57:41 INFO i.a.i.d.b.BigQueryGcsOperations(copyIntoTargetTable):162 - Copying data from tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_hjh_engagements_meetings}} to target table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_raw_engagements_meetings}} (dataset hubspot_, sync mode append) 2022-04-13 04:57:45 destination > 2022-04-13 04:57:45 INFO i.a.i.d.b.u.AbstractBigQueryUploader(copyTable):185 - successfully copied table: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_hjh_engagements_meetings}} to table: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_raw_engagements_meetings}} 2022-04-13 04:57:45 destination > 2022-04-13 04:57:45 INFO i.a.i.d.b.BigQueryGcsOperations(copyIntoTmpTableFromStage):122 - Uploading records from staging files to tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_cwl_subscription_changes}} (dataset hubspot_): [1.avro, 2.avro] 2022-04-13 04:57:45 destination > 2022-04-13 04:57:45 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):126 - Uploading staged file: gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__subscription_changes/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro 2022-04-13 04:57:45 destination > 2022-04-13 04:57:45 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):126 - Uploading staged file: gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__subscription_changes/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro 2022-04-13 04:57:45 destination > 2022-04-13 04:57:45 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):135 - [JobId{project=mansagroup-datascience, job=320e75d1-9265-43dc-a184-4920c3af833f, location=europe-west4}] Created a new job to upload records to tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_cwl_subscription_changes}} (dataset hubspot_): Job{job=JobId{project=mansagroup-datascience, job=320e75d1-9265-43dc-a184-4920c3af833f, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649825865830, endTime=null, startTime=1649825865917, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=PEuu1wdfP0GCPJxmHl2tFg==, generatedId=mansagroup-datascience:europe-west4.320e75d1-9265-43dc-a184-4920c3af833f, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/320e75d1-9265-43dc-a184-4920c3af833f?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_cwl_subscription_changes}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__subscription_changes/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} 2022-04-13 04:57:45 destination > 2022-04-13 04:57:45 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):319 - Waiting for job finish Job{job=JobId{project=mansagroup-datascience, job=320e75d1-9265-43dc-a184-4920c3af833f, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649825865830, endTime=null, startTime=1649825865917, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=PEuu1wdfP0GCPJxmHl2tFg==, generatedId=mansagroup-datascience:europe-west4.320e75d1-9265-43dc-a184-4920c3af833f, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/320e75d1-9265-43dc-a184-4920c3af833f?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_cwl_subscription_changes}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__subscription_changes/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}}. Status: JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 04:57:45 destination > 2022-04-13 04:57:45 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):135 - [JobId{project=mansagroup-datascience, job=84f2871e-949b-4677-9bd7-75076eef39cc, location=europe-west4}] Created a new job to upload records to tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_cwl_subscription_changes}} (dataset hubspot_): Job{job=JobId{project=mansagroup-datascience, job=84f2871e-949b-4677-9bd7-75076eef39cc, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649825865829, endTime=null, startTime=1649825865933, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=/CdeQiy4mnDR6hpGIZL+pQ==, generatedId=mansagroup-datascience:europe-west4.84f2871e-949b-4677-9bd7-75076eef39cc, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/84f2871e-949b-4677-9bd7-75076eef39cc?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_cwl_subscription_changes}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__subscription_changes/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} 2022-04-13 04:57:45 destination > 2022-04-13 04:57:45 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):319 - Waiting for job finish Job{job=JobId{project=mansagroup-datascience, job=84f2871e-949b-4677-9bd7-75076eef39cc, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649825865829, endTime=null, startTime=1649825865933, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=/CdeQiy4mnDR6hpGIZL+pQ==, generatedId=mansagroup-datascience:europe-west4.84f2871e-949b-4677-9bd7-75076eef39cc, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/84f2871e-949b-4677-9bd7-75076eef39cc?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_cwl_subscription_changes}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__subscription_changes/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}}. Status: JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 04:57:47 destination > 2022-04-13 04:57:47 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):321 - Job finish Job{job=JobId{project=mansagroup-datascience, job=320e75d1-9265-43dc-a184-4920c3af833f, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649825865830, endTime=null, startTime=1649825865917, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=PEuu1wdfP0GCPJxmHl2tFg==, generatedId=mansagroup-datascience:europe-west4.320e75d1-9265-43dc-a184-4920c3af833f, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/320e75d1-9265-43dc-a184-4920c3af833f?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_cwl_subscription_changes}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__subscription_changes/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} with status JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 04:57:47 destination > 2022-04-13 04:57:47 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):139 - [JobId{project=mansagroup-datascience, job=320e75d1-9265-43dc-a184-4920c3af833f, location=europe-west4}] Tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_cwl_subscription_changes}} (dataset hubspot_) is successfully appended with staging files 2022-04-13 04:57:48 destination > 2022-04-13 04:57:48 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):321 - Job finish Job{job=JobId{project=mansagroup-datascience, job=84f2871e-949b-4677-9bd7-75076eef39cc, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649825865829, endTime=null, startTime=1649825865933, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=/CdeQiy4mnDR6hpGIZL+pQ==, generatedId=mansagroup-datascience:europe-west4.84f2871e-949b-4677-9bd7-75076eef39cc, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/84f2871e-949b-4677-9bd7-75076eef39cc?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_cwl_subscription_changes}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__subscription_changes/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} with status JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 04:57:48 destination > 2022-04-13 04:57:48 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):139 - [JobId{project=mansagroup-datascience, job=84f2871e-949b-4677-9bd7-75076eef39cc, location=europe-west4}] Tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_cwl_subscription_changes}} (dataset hubspot_) is successfully appended with staging files 2022-04-13 04:57:48 destination > 2022-04-13 04:57:48 INFO i.a.i.d.b.BigQueryGcsOperations(copyIntoTargetTable):162 - Copying data from tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_cwl_subscription_changes}} to target table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_raw_subscription_changes}} (dataset hubspot_, sync mode append) 2022-04-13 04:57:51 destination > 2022-04-13 04:57:51 INFO i.a.i.d.b.u.AbstractBigQueryUploader(copyTable):185 - successfully copied table: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_cwl_subscription_changes}} to table: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_raw_subscription_changes}} 2022-04-13 04:57:51 destination > 2022-04-13 04:57:51 INFO i.a.i.d.b.BigQueryGcsOperations(copyIntoTmpTableFromStage):122 - Uploading records from staging files to tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_ycd_workflows}} (dataset hubspot_): [1.avro] 2022-04-13 04:57:51 destination > 2022-04-13 04:57:51 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):126 - Uploading staged file: gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__workflows/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro 2022-04-13 04:57:51 destination > 2022-04-13 04:57:51 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):135 - [JobId{project=mansagroup-datascience, job=7b9df73e-dd06-4bce-9590-751f56e23287, location=europe-west4}] Created a new job to upload records to tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_ycd_workflows}} (dataset hubspot_): Job{job=JobId{project=mansagroup-datascience, job=7b9df73e-dd06-4bce-9590-751f56e23287, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649825871158, endTime=null, startTime=1649825871237, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=ub0CP2MaJ5maMqiN5TI1vQ==, generatedId=mansagroup-datascience:europe-west4.7b9df73e-dd06-4bce-9590-751f56e23287, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/7b9df73e-dd06-4bce-9590-751f56e23287?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_ycd_workflows}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__workflows/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} 2022-04-13 04:57:51 destination > 2022-04-13 04:57:51 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):319 - Waiting for job finish Job{job=JobId{project=mansagroup-datascience, job=7b9df73e-dd06-4bce-9590-751f56e23287, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649825871158, endTime=null, startTime=1649825871237, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=ub0CP2MaJ5maMqiN5TI1vQ==, generatedId=mansagroup-datascience:europe-west4.7b9df73e-dd06-4bce-9590-751f56e23287, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/7b9df73e-dd06-4bce-9590-751f56e23287?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_ycd_workflows}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__workflows/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}}. Status: JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 04:57:53 destination > 2022-04-13 04:57:53 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):321 - Job finish Job{job=JobId{project=mansagroup-datascience, job=7b9df73e-dd06-4bce-9590-751f56e23287, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649825871158, endTime=null, startTime=1649825871237, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=ub0CP2MaJ5maMqiN5TI1vQ==, generatedId=mansagroup-datascience:europe-west4.7b9df73e-dd06-4bce-9590-751f56e23287, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/7b9df73e-dd06-4bce-9590-751f56e23287?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_ycd_workflows}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__workflows/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} with status JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 04:57:53 destination > 2022-04-13 04:57:53 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):139 - [JobId{project=mansagroup-datascience, job=7b9df73e-dd06-4bce-9590-751f56e23287, location=europe-west4}] Tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_ycd_workflows}} (dataset hubspot_) is successfully appended with staging files 2022-04-13 04:57:53 destination > 2022-04-13 04:57:53 INFO i.a.i.d.b.BigQueryGcsOperations(copyIntoTargetTable):162 - Copying data from tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_ycd_workflows}} to target table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_raw_workflows}} (dataset hubspot_, sync mode overwrite) 2022-04-13 04:57:55 destination > 2022-04-13 04:57:55 INFO i.a.i.d.b.u.AbstractBigQueryUploader(copyTable):185 - successfully copied table: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_ycd_workflows}} to table: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_raw_workflows}} 2022-04-13 04:57:55 destination > 2022-04-13 04:57:55 INFO i.a.i.d.b.BigQueryGcsOperations(copyIntoTmpTableFromStage):122 - Uploading records from staging files to tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_ter_engagements}} (dataset hubspot_): [1.avro, 2.avro, 3.avro, 4.avro, 5.avro, 6.avro, 7.avro, 8.avro, 9.avro, 10.avro, 11.avro] 2022-04-13 04:57:55 destination > 2022-04-13 04:57:55 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):126 - Uploading staged file: gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/7.avro 2022-04-13 04:57:55 destination > 2022-04-13 04:57:55 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):126 - Uploading staged file: gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro 2022-04-13 04:57:55 destination > 2022-04-13 04:57:55 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):135 - [JobId{project=mansagroup-datascience, job=8d6d3f57-7b11-42fc-bef8-c049b7ae8fce, location=europe-west4}] Created a new job to upload records to tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_ter_engagements}} (dataset hubspot_): Job{job=JobId{project=mansagroup-datascience, job=8d6d3f57-7b11-42fc-bef8-c049b7ae8fce, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649825875863, endTime=null, startTime=1649825875948, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=0lAkwXx2L0KtF2NAOuve+w==, generatedId=mansagroup-datascience:europe-west4.8d6d3f57-7b11-42fc-bef8-c049b7ae8fce, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/8d6d3f57-7b11-42fc-bef8-c049b7ae8fce?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_ter_engagements}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} 2022-04-13 04:57:55 destination > 2022-04-13 04:57:55 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):319 - Waiting for job finish Job{job=JobId{project=mansagroup-datascience, job=8d6d3f57-7b11-42fc-bef8-c049b7ae8fce, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649825875863, endTime=null, startTime=1649825875948, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=0lAkwXx2L0KtF2NAOuve+w==, generatedId=mansagroup-datascience:europe-west4.8d6d3f57-7b11-42fc-bef8-c049b7ae8fce, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/8d6d3f57-7b11-42fc-bef8-c049b7ae8fce?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_ter_engagements}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}}. Status: JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 04:57:56 destination > 2022-04-13 04:57:56 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):135 - [JobId{project=mansagroup-datascience, job=5748481a-7cb9-4140-b7ce-4eb41673aff1, location=europe-west4}] Created a new job to upload records to tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_ter_engagements}} (dataset hubspot_): Job{job=JobId{project=mansagroup-datascience, job=5748481a-7cb9-4140-b7ce-4eb41673aff1, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649825875878, endTime=null, startTime=1649825875983, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=aNhb2QqZfkUWbtwKJk7LhA==, generatedId=mansagroup-datascience:europe-west4.5748481a-7cb9-4140-b7ce-4eb41673aff1, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/5748481a-7cb9-4140-b7ce-4eb41673aff1?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_ter_engagements}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/7.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} 2022-04-13 04:57:56 destination > 2022-04-13 04:57:56 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):319 - Waiting for job finish Job{job=JobId{project=mansagroup-datascience, job=5748481a-7cb9-4140-b7ce-4eb41673aff1, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649825875878, endTime=null, startTime=1649825875983, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=aNhb2QqZfkUWbtwKJk7LhA==, generatedId=mansagroup-datascience:europe-west4.5748481a-7cb9-4140-b7ce-4eb41673aff1, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/5748481a-7cb9-4140-b7ce-4eb41673aff1?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_ter_engagements}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/7.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}}. Status: JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 04:58:03 destination > 2022-04-13 04:58:03 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):321 - Job finish Job{job=JobId{project=mansagroup-datascience, job=8d6d3f57-7b11-42fc-bef8-c049b7ae8fce, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649825875863, endTime=null, startTime=1649825875948, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=0lAkwXx2L0KtF2NAOuve+w==, generatedId=mansagroup-datascience:europe-west4.8d6d3f57-7b11-42fc-bef8-c049b7ae8fce, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/8d6d3f57-7b11-42fc-bef8-c049b7ae8fce?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_ter_engagements}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} with status JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 04:58:03 destination > 2022-04-13 04:58:03 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):139 - [JobId{project=mansagroup-datascience, job=8d6d3f57-7b11-42fc-bef8-c049b7ae8fce, location=europe-west4}] Tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_ter_engagements}} (dataset hubspot_) is successfully appended with staging files 2022-04-13 04:58:04 destination > 2022-04-13 04:58:04 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):126 - Uploading staged file: gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro 2022-04-13 04:58:04 destination > 2022-04-13 04:58:04 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):135 - [JobId{project=mansagroup-datascience, job=187d5f79-c527-44c0-a406-0ae6af863369, location=europe-west4}] Created a new job to upload records to tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_ter_engagements}} (dataset hubspot_): Job{job=JobId{project=mansagroup-datascience, job=187d5f79-c527-44c0-a406-0ae6af863369, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649825884064, endTime=null, startTime=1649825884152, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=or4kOEXjs8mx+pDQpwFZKw==, generatedId=mansagroup-datascience:europe-west4.187d5f79-c527-44c0-a406-0ae6af863369, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/187d5f79-c527-44c0-a406-0ae6af863369?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_ter_engagements}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} 2022-04-13 04:58:04 destination > 2022-04-13 04:58:04 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):319 - Waiting for job finish Job{job=JobId{project=mansagroup-datascience, job=187d5f79-c527-44c0-a406-0ae6af863369, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649825884064, endTime=null, startTime=1649825884152, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=or4kOEXjs8mx+pDQpwFZKw==, generatedId=mansagroup-datascience:europe-west4.187d5f79-c527-44c0-a406-0ae6af863369, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/187d5f79-c527-44c0-a406-0ae6af863369?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_ter_engagements}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}}. Status: JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 04:58:05 destination > 2022-04-13 04:58:05 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):321 - Job finish Job{job=JobId{project=mansagroup-datascience, job=5748481a-7cb9-4140-b7ce-4eb41673aff1, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649825875878, endTime=null, startTime=1649825875983, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=aNhb2QqZfkUWbtwKJk7LhA==, generatedId=mansagroup-datascience:europe-west4.5748481a-7cb9-4140-b7ce-4eb41673aff1, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/5748481a-7cb9-4140-b7ce-4eb41673aff1?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_ter_engagements}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/7.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} with status JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 04:58:05 destination > 2022-04-13 04:58:05 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):139 - [JobId{project=mansagroup-datascience, job=5748481a-7cb9-4140-b7ce-4eb41673aff1, location=europe-west4}] Tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_ter_engagements}} (dataset hubspot_) is successfully appended with staging files 2022-04-13 04:58:05 destination > 2022-04-13 04:58:05 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):126 - Uploading staged file: gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/8.avro 2022-04-13 04:58:05 destination > 2022-04-13 04:58:05 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):135 - [JobId{project=mansagroup-datascience, job=81c785f6-178c-452f-af26-6f3477b2f1a8, location=europe-west4}] Created a new job to upload records to tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_ter_engagements}} (dataset hubspot_): Job{job=JobId{project=mansagroup-datascience, job=81c785f6-178c-452f-af26-6f3477b2f1a8, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649825885170, endTime=null, startTime=1649825885236, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=Wgg7avva4eRsZocNbDrsjw==, generatedId=mansagroup-datascience:europe-west4.81c785f6-178c-452f-af26-6f3477b2f1a8, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/81c785f6-178c-452f-af26-6f3477b2f1a8?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_ter_engagements}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/8.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} 2022-04-13 04:58:05 destination > 2022-04-13 04:58:05 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):319 - Waiting for job finish Job{job=JobId{project=mansagroup-datascience, job=81c785f6-178c-452f-af26-6f3477b2f1a8, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649825885170, endTime=null, startTime=1649825885236, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=Wgg7avva4eRsZocNbDrsjw==, generatedId=mansagroup-datascience:europe-west4.81c785f6-178c-452f-af26-6f3477b2f1a8, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/81c785f6-178c-452f-af26-6f3477b2f1a8?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_ter_engagements}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/8.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}}. Status: JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 04:58:12 destination > 2022-04-13 04:58:12 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):321 - Job finish Job{job=JobId{project=mansagroup-datascience, job=187d5f79-c527-44c0-a406-0ae6af863369, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649825884064, endTime=null, startTime=1649825884152, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=or4kOEXjs8mx+pDQpwFZKw==, generatedId=mansagroup-datascience:europe-west4.187d5f79-c527-44c0-a406-0ae6af863369, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/187d5f79-c527-44c0-a406-0ae6af863369?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_ter_engagements}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} with status JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 04:58:12 destination > 2022-04-13 04:58:12 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):139 - [JobId{project=mansagroup-datascience, job=187d5f79-c527-44c0-a406-0ae6af863369, location=europe-west4}] Tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_ter_engagements}} (dataset hubspot_) is successfully appended with staging files 2022-04-13 04:58:12 destination > 2022-04-13 04:58:12 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):126 - Uploading staged file: gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro 2022-04-13 04:58:12 destination > 2022-04-13 04:58:12 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):135 - [JobId{project=mansagroup-datascience, job=89d0cfe3-0c1d-4d66-8615-11ae77f654a4, location=europe-west4}] Created a new job to upload records to tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_ter_engagements}} (dataset hubspot_): Job{job=JobId{project=mansagroup-datascience, job=89d0cfe3-0c1d-4d66-8615-11ae77f654a4, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649825892737, endTime=null, startTime=1649825892854, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=4WYszoMo+68ovSuNuMdg3g==, generatedId=mansagroup-datascience:europe-west4.89d0cfe3-0c1d-4d66-8615-11ae77f654a4, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/89d0cfe3-0c1d-4d66-8615-11ae77f654a4?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_ter_engagements}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} 2022-04-13 04:58:12 destination > 2022-04-13 04:58:12 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):319 - Waiting for job finish Job{job=JobId{project=mansagroup-datascience, job=89d0cfe3-0c1d-4d66-8615-11ae77f654a4, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649825892737, endTime=null, startTime=1649825892854, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=4WYszoMo+68ovSuNuMdg3g==, generatedId=mansagroup-datascience:europe-west4.89d0cfe3-0c1d-4d66-8615-11ae77f654a4, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/89d0cfe3-0c1d-4d66-8615-11ae77f654a4?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_ter_engagements}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}}. Status: JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 04:58:14 destination > 2022-04-13 04:58:14 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):321 - Job finish Job{job=JobId{project=mansagroup-datascience, job=81c785f6-178c-452f-af26-6f3477b2f1a8, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649825885170, endTime=null, startTime=1649825885236, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=Wgg7avva4eRsZocNbDrsjw==, generatedId=mansagroup-datascience:europe-west4.81c785f6-178c-452f-af26-6f3477b2f1a8, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/81c785f6-178c-452f-af26-6f3477b2f1a8?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_ter_engagements}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/8.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} with status JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 04:58:14 destination > 2022-04-13 04:58:14 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):139 - [JobId{project=mansagroup-datascience, job=81c785f6-178c-452f-af26-6f3477b2f1a8, location=europe-west4}] Tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_ter_engagements}} (dataset hubspot_) is successfully appended with staging files 2022-04-13 04:58:14 destination > 2022-04-13 04:58:14 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):126 - Uploading staged file: gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro 2022-04-13 04:58:14 destination > 2022-04-13 04:58:14 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):135 - [JobId{project=mansagroup-datascience, job=96a16e57-d121-472b-9af0-5cd897897e81, location=europe-west4}] Created a new job to upload records to tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_ter_engagements}} (dataset hubspot_): Job{job=JobId{project=mansagroup-datascience, job=96a16e57-d121-472b-9af0-5cd897897e81, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649825894329, endTime=null, startTime=1649825894397, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=8VA8dvL/oh0iEVRauA7DSA==, generatedId=mansagroup-datascience:europe-west4.96a16e57-d121-472b-9af0-5cd897897e81, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/96a16e57-d121-472b-9af0-5cd897897e81?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_ter_engagements}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} 2022-04-13 04:58:14 destination > 2022-04-13 04:58:14 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):319 - Waiting for job finish Job{job=JobId{project=mansagroup-datascience, job=96a16e57-d121-472b-9af0-5cd897897e81, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649825894329, endTime=null, startTime=1649825894397, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=8VA8dvL/oh0iEVRauA7DSA==, generatedId=mansagroup-datascience:europe-west4.96a16e57-d121-472b-9af0-5cd897897e81, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/96a16e57-d121-472b-9af0-5cd897897e81?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_ter_engagements}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}}. Status: JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 04:57:28 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):301 - Records read: 5932000 (6 GB) 2022-04-13 04:57:31 INFO i.a.w.p.KubePodProcess(close):695 - (pod: app-airbyte / source-hubspot-sync-90-2-rfuwa) - Closed all resources for pod 2022-04-13 04:57:31 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$5):305 - Total records read: 5932278 (6 GB) 2022-04-13 04:57:31 INFO i.a.w.DefaultReplicationWorker(run):163 - One of source or destination thread complete. Waiting on the other. 2022-04-13 04:58:20 destination > 2022-04-13 04:58:20 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):321 - Job finish Job{job=JobId{project=mansagroup-datascience, job=89d0cfe3-0c1d-4d66-8615-11ae77f654a4, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649825892737, endTime=null, startTime=1649825892854, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=4WYszoMo+68ovSuNuMdg3g==, generatedId=mansagroup-datascience:europe-west4.89d0cfe3-0c1d-4d66-8615-11ae77f654a4, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/89d0cfe3-0c1d-4d66-8615-11ae77f654a4?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_ter_engagements}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} with status JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 04:58:20 destination > 2022-04-13 04:58:20 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):139 - [JobId{project=mansagroup-datascience, job=89d0cfe3-0c1d-4d66-8615-11ae77f654a4, location=europe-west4}] Tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_ter_engagements}} (dataset hubspot_) is successfully appended with staging files 2022-04-13 04:58:20 destination > 2022-04-13 04:58:20 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):126 - Uploading staged file: gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro 2022-04-13 04:58:20 destination > 2022-04-13 04:58:20 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):135 - [JobId{project=mansagroup-datascience, job=9aeae6a2-dac6-43fb-9cea-b71244b6f945, location=europe-west4}] Created a new job to upload records to tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_ter_engagements}} (dataset hubspot_): Job{job=JobId{project=mansagroup-datascience, job=9aeae6a2-dac6-43fb-9cea-b71244b6f945, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649825900710, endTime=null, startTime=1649825900782, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=5Zylrz9irKXBCw709a52OA==, generatedId=mansagroup-datascience:europe-west4.9aeae6a2-dac6-43fb-9cea-b71244b6f945, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/9aeae6a2-dac6-43fb-9cea-b71244b6f945?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_ter_engagements}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} 2022-04-13 04:58:20 destination > 2022-04-13 04:58:20 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):319 - Waiting for job finish Job{job=JobId{project=mansagroup-datascience, job=9aeae6a2-dac6-43fb-9cea-b71244b6f945, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649825900710, endTime=null, startTime=1649825900782, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=5Zylrz9irKXBCw709a52OA==, generatedId=mansagroup-datascience:europe-west4.9aeae6a2-dac6-43fb-9cea-b71244b6f945, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/9aeae6a2-dac6-43fb-9cea-b71244b6f945?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_ter_engagements}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}}. Status: JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 04:58:21 destination > 2022-04-13 04:58:21 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):321 - Job finish Job{job=JobId{project=mansagroup-datascience, job=96a16e57-d121-472b-9af0-5cd897897e81, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649825894329, endTime=null, startTime=1649825894397, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=8VA8dvL/oh0iEVRauA7DSA==, generatedId=mansagroup-datascience:europe-west4.96a16e57-d121-472b-9af0-5cd897897e81, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/96a16e57-d121-472b-9af0-5cd897897e81?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_ter_engagements}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} with status JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 04:58:21 destination > 2022-04-13 04:58:21 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):139 - [JobId{project=mansagroup-datascience, job=96a16e57-d121-472b-9af0-5cd897897e81, location=europe-west4}] Tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_ter_engagements}} (dataset hubspot_) is successfully appended with staging files 2022-04-13 04:58:21 destination > 2022-04-13 04:58:21 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):126 - Uploading staged file: gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/10.avro 2022-04-13 04:58:22 destination > 2022-04-13 04:58:22 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):135 - [JobId{project=mansagroup-datascience, job=23eab840-f7d5-4156-9c91-cdf29c779132, location=europe-west4}] Created a new job to upload records to tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_ter_engagements}} (dataset hubspot_): Job{job=JobId{project=mansagroup-datascience, job=23eab840-f7d5-4156-9c91-cdf29c779132, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649825901907, endTime=null, startTime=1649825902011, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=prk7/Itq27jAN2UliCwX/Q==, generatedId=mansagroup-datascience:europe-west4.23eab840-f7d5-4156-9c91-cdf29c779132, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/23eab840-f7d5-4156-9c91-cdf29c779132?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_ter_engagements}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/10.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} 2022-04-13 04:58:22 destination > 2022-04-13 04:58:22 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):319 - Waiting for job finish Job{job=JobId{project=mansagroup-datascience, job=23eab840-f7d5-4156-9c91-cdf29c779132, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649825901907, endTime=null, startTime=1649825902011, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=prk7/Itq27jAN2UliCwX/Q==, generatedId=mansagroup-datascience:europe-west4.23eab840-f7d5-4156-9c91-cdf29c779132, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/23eab840-f7d5-4156-9c91-cdf29c779132?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_ter_engagements}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/10.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}}. Status: JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 04:58:28 destination > 2022-04-13 04:58:28 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):321 - Job finish Job{job=JobId{project=mansagroup-datascience, job=9aeae6a2-dac6-43fb-9cea-b71244b6f945, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649825900710, endTime=null, startTime=1649825900782, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=5Zylrz9irKXBCw709a52OA==, generatedId=mansagroup-datascience:europe-west4.9aeae6a2-dac6-43fb-9cea-b71244b6f945, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/9aeae6a2-dac6-43fb-9cea-b71244b6f945?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_ter_engagements}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} with status JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 04:58:28 destination > 2022-04-13 04:58:28 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):139 - [JobId{project=mansagroup-datascience, job=9aeae6a2-dac6-43fb-9cea-b71244b6f945, location=europe-west4}] Tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_ter_engagements}} (dataset hubspot_) is successfully appended with staging files 2022-04-13 04:58:28 destination > 2022-04-13 04:58:28 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):126 - Uploading staged file: gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro 2022-04-13 04:58:28 destination > 2022-04-13 04:58:28 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):135 - [JobId{project=mansagroup-datascience, job=893cd090-8f4c-4723-80cf-58e6ad6f2d42, location=europe-west4}] Created a new job to upload records to tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_ter_engagements}} (dataset hubspot_): Job{job=JobId{project=mansagroup-datascience, job=893cd090-8f4c-4723-80cf-58e6ad6f2d42, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649825908635, endTime=null, startTime=1649825908716, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=vqzFqdXk3f8Wp+wJ6hR/WQ==, generatedId=mansagroup-datascience:europe-west4.893cd090-8f4c-4723-80cf-58e6ad6f2d42, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/893cd090-8f4c-4723-80cf-58e6ad6f2d42?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_ter_engagements}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} 2022-04-13 04:58:28 destination > 2022-04-13 04:58:28 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):319 - Waiting for job finish Job{job=JobId{project=mansagroup-datascience, job=893cd090-8f4c-4723-80cf-58e6ad6f2d42, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649825908635, endTime=null, startTime=1649825908716, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=vqzFqdXk3f8Wp+wJ6hR/WQ==, generatedId=mansagroup-datascience:europe-west4.893cd090-8f4c-4723-80cf-58e6ad6f2d42, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/893cd090-8f4c-4723-80cf-58e6ad6f2d42?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_ter_engagements}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}}. Status: JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 04:58:29 destination > 2022-04-13 04:58:29 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):321 - Job finish Job{job=JobId{project=mansagroup-datascience, job=23eab840-f7d5-4156-9c91-cdf29c779132, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649825901907, endTime=null, startTime=1649825902011, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=prk7/Itq27jAN2UliCwX/Q==, generatedId=mansagroup-datascience:europe-west4.23eab840-f7d5-4156-9c91-cdf29c779132, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/23eab840-f7d5-4156-9c91-cdf29c779132?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_ter_engagements}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/10.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} with status JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 04:58:29 destination > 2022-04-13 04:58:29 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):139 - [JobId{project=mansagroup-datascience, job=23eab840-f7d5-4156-9c91-cdf29c779132, location=europe-west4}] Tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_ter_engagements}} (dataset hubspot_) is successfully appended with staging files 2022-04-13 04:58:29 destination > 2022-04-13 04:58:29 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):126 - Uploading staged file: gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/11.avro 2022-04-13 04:58:30 destination > 2022-04-13 04:58:30 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):135 - [JobId{project=mansagroup-datascience, job=aea31e9f-39e2-464d-8041-bce9c2c3e4c8, location=europe-west4}] Created a new job to upload records to tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_ter_engagements}} (dataset hubspot_): Job{job=JobId{project=mansagroup-datascience, job=aea31e9f-39e2-464d-8041-bce9c2c3e4c8, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649825909900, endTime=null, startTime=1649825909997, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=D7hLDYmc+LBaOS9ycWHctg==, generatedId=mansagroup-datascience:europe-west4.aea31e9f-39e2-464d-8041-bce9c2c3e4c8, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/aea31e9f-39e2-464d-8041-bce9c2c3e4c8?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_ter_engagements}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/11.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} 2022-04-13 04:58:30 destination > 2022-04-13 04:58:30 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):319 - Waiting for job finish Job{job=JobId{project=mansagroup-datascience, job=aea31e9f-39e2-464d-8041-bce9c2c3e4c8, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649825909900, endTime=null, startTime=1649825909997, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=D7hLDYmc+LBaOS9ycWHctg==, generatedId=mansagroup-datascience:europe-west4.aea31e9f-39e2-464d-8041-bce9c2c3e4c8, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/aea31e9f-39e2-464d-8041-bce9c2c3e4c8?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_ter_engagements}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/11.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}}. Status: JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 04:58:34 destination > 2022-04-13 04:58:34 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):321 - Job finish Job{job=JobId{project=mansagroup-datascience, job=aea31e9f-39e2-464d-8041-bce9c2c3e4c8, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649825909900, endTime=null, startTime=1649825909997, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=D7hLDYmc+LBaOS9ycWHctg==, generatedId=mansagroup-datascience:europe-west4.aea31e9f-39e2-464d-8041-bce9c2c3e4c8, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/aea31e9f-39e2-464d-8041-bce9c2c3e4c8?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_ter_engagements}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/11.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} with status JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 04:58:34 destination > 2022-04-13 04:58:34 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):139 - [JobId{project=mansagroup-datascience, job=aea31e9f-39e2-464d-8041-bce9c2c3e4c8, location=europe-west4}] Tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_ter_engagements}} (dataset hubspot_) is successfully appended with staging files 2022-04-13 04:58:34 destination > 2022-04-13 04:58:34 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):126 - Uploading staged file: gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/9.avro 2022-04-13 04:58:34 destination > 2022-04-13 04:58:34 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):135 - [JobId{project=mansagroup-datascience, job=0d957a5e-9505-49f2-b379-6cb72afcb00b, location=europe-west4}] Created a new job to upload records to tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_ter_engagements}} (dataset hubspot_): Job{job=JobId{project=mansagroup-datascience, job=0d957a5e-9505-49f2-b379-6cb72afcb00b, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649825914225, endTime=null, startTime=1649825914299, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=DOXluz100j/Q2FNbki3uow==, generatedId=mansagroup-datascience:europe-west4.0d957a5e-9505-49f2-b379-6cb72afcb00b, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/0d957a5e-9505-49f2-b379-6cb72afcb00b?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_ter_engagements}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/9.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} 2022-04-13 04:58:34 destination > 2022-04-13 04:58:34 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):319 - Waiting for job finish Job{job=JobId{project=mansagroup-datascience, job=0d957a5e-9505-49f2-b379-6cb72afcb00b, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649825914225, endTime=null, startTime=1649825914299, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=DOXluz100j/Q2FNbki3uow==, generatedId=mansagroup-datascience:europe-west4.0d957a5e-9505-49f2-b379-6cb72afcb00b, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/0d957a5e-9505-49f2-b379-6cb72afcb00b?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_ter_engagements}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/9.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}}. Status: JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 04:58:36 destination > 2022-04-13 04:58:36 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):321 - Job finish Job{job=JobId{project=mansagroup-datascience, job=893cd090-8f4c-4723-80cf-58e6ad6f2d42, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649825908635, endTime=null, startTime=1649825908716, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=vqzFqdXk3f8Wp+wJ6hR/WQ==, generatedId=mansagroup-datascience:europe-west4.893cd090-8f4c-4723-80cf-58e6ad6f2d42, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/893cd090-8f4c-4723-80cf-58e6ad6f2d42?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_ter_engagements}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} with status JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 04:58:36 destination > 2022-04-13 04:58:36 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):139 - [JobId{project=mansagroup-datascience, job=893cd090-8f4c-4723-80cf-58e6ad6f2d42, location=europe-west4}] Tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_ter_engagements}} (dataset hubspot_) is successfully appended with staging files 2022-04-13 04:58:43 destination > 2022-04-13 04:58:43 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):321 - Job finish Job{job=JobId{project=mansagroup-datascience, job=0d957a5e-9505-49f2-b379-6cb72afcb00b, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649825914225, endTime=null, startTime=1649825914299, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=DOXluz100j/Q2FNbki3uow==, generatedId=mansagroup-datascience:europe-west4.0d957a5e-9505-49f2-b379-6cb72afcb00b, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/0d957a5e-9505-49f2-b379-6cb72afcb00b?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_ter_engagements}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/9.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} with status JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 04:58:43 destination > 2022-04-13 04:58:43 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):139 - [JobId{project=mansagroup-datascience, job=0d957a5e-9505-49f2-b379-6cb72afcb00b, location=europe-west4}] Tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_ter_engagements}} (dataset hubspot_) is successfully appended with staging files 2022-04-13 04:58:43 destination > 2022-04-13 04:58:43 INFO i.a.i.d.b.BigQueryGcsOperations(copyIntoTargetTable):162 - Copying data from tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_ter_engagements}} to target table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_raw_engagements}} (dataset hubspot_, sync mode append) 2022-04-13 04:58:47 destination > 2022-04-13 04:58:47 INFO i.a.i.d.b.u.AbstractBigQueryUploader(copyTable):185 - successfully copied table: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_ter_engagements}} to table: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_raw_engagements}} 2022-04-13 04:58:47 destination > 2022-04-13 04:58:47 INFO i.a.i.d.b.BigQueryGcsOperations(copyIntoTmpTableFromStage):122 - Uploading records from staging files to tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_edx_line_items}} (dataset hubspot_): [] 2022-04-13 04:58:47 destination > 2022-04-13 04:58:47 INFO i.a.i.d.b.BigQueryGcsOperations(copyIntoTargetTable):162 - Copying data from tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_edx_line_items}} to target table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_raw_line_items}} (dataset hubspot_, sync mode append) 2022-04-13 04:58:51 destination > 2022-04-13 04:58:51 INFO i.a.i.d.b.u.AbstractBigQueryUploader(copyTable):185 - successfully copied table: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_edx_line_items}} to table: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_raw_line_items}} 2022-04-13 04:58:51 destination > 2022-04-13 04:58:51 INFO i.a.i.d.b.BigQueryGcsOperations(copyIntoTmpTableFromStage):122 - Uploading records from staging files to tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_cve_engagements_tasks}} (dataset hubspot_): [1.avro] 2022-04-13 04:58:51 destination > 2022-04-13 04:58:51 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):126 - Uploading staged file: gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_tasks/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro 2022-04-13 04:58:51 destination > 2022-04-13 04:58:51 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):135 - [JobId{project=mansagroup-datascience, job=19442dc1-4a7a-474c-8788-50ee33b5a704, location=europe-west4}] Created a new job to upload records to tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_cve_engagements_tasks}} (dataset hubspot_): Job{job=JobId{project=mansagroup-datascience, job=19442dc1-4a7a-474c-8788-50ee33b5a704, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649825931538, endTime=null, startTime=1649825931611, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=+weZDWivE7AHmkrTmexCfw==, generatedId=mansagroup-datascience:europe-west4.19442dc1-4a7a-474c-8788-50ee33b5a704, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/19442dc1-4a7a-474c-8788-50ee33b5a704?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_cve_engagements_tasks}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_tasks/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} 2022-04-13 04:58:51 destination > 2022-04-13 04:58:51 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):319 - Waiting for job finish Job{job=JobId{project=mansagroup-datascience, job=19442dc1-4a7a-474c-8788-50ee33b5a704, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649825931538, endTime=null, startTime=1649825931611, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=+weZDWivE7AHmkrTmexCfw==, generatedId=mansagroup-datascience:europe-west4.19442dc1-4a7a-474c-8788-50ee33b5a704, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/19442dc1-4a7a-474c-8788-50ee33b5a704?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_cve_engagements_tasks}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_tasks/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}}. Status: JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 04:58:58 destination > 2022-04-13 04:58:58 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):321 - Job finish Job{job=JobId{project=mansagroup-datascience, job=19442dc1-4a7a-474c-8788-50ee33b5a704, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649825931538, endTime=null, startTime=1649825931611, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=+weZDWivE7AHmkrTmexCfw==, generatedId=mansagroup-datascience:europe-west4.19442dc1-4a7a-474c-8788-50ee33b5a704, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/19442dc1-4a7a-474c-8788-50ee33b5a704?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_cve_engagements_tasks}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_tasks/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} with status JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 04:58:58 destination > 2022-04-13 04:58:58 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):139 - [JobId{project=mansagroup-datascience, job=19442dc1-4a7a-474c-8788-50ee33b5a704, location=europe-west4}] Tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_cve_engagements_tasks}} (dataset hubspot_) is successfully appended with staging files 2022-04-13 04:58:58 destination > 2022-04-13 04:58:58 INFO i.a.i.d.b.BigQueryGcsOperations(copyIntoTargetTable):162 - Copying data from tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_cve_engagements_tasks}} to target table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_raw_engagements_tasks}} (dataset hubspot_, sync mode append) 2022-04-13 04:59:01 destination > 2022-04-13 04:59:01 INFO i.a.i.d.b.u.AbstractBigQueryUploader(copyTable):185 - successfully copied table: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_cve_engagements_tasks}} to table: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_raw_engagements_tasks}} 2022-04-13 04:59:01 destination > 2022-04-13 04:59:01 INFO i.a.i.d.b.BigQueryGcsOperations(copyIntoTmpTableFromStage):122 - Uploading records from staging files to tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_epz_contacts_list_memberships}} (dataset hubspot_): [1.avro, 2.avro, 3.avro, 4.avro, 5.avro] 2022-04-13 04:59:01 destination > 2022-04-13 04:59:01 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):126 - Uploading staged file: gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro 2022-04-13 04:59:01 destination > 2022-04-13 04:59:01 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):126 - Uploading staged file: gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro 2022-04-13 04:59:02 destination > 2022-04-13 04:59:02 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):135 - [JobId{project=mansagroup-datascience, job=53e02c7b-9037-4b48-b00a-86fab2fd1cfd, location=europe-west4}] Created a new job to upload records to tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_epz_contacts_list_memberships}} (dataset hubspot_): Job{job=JobId{project=mansagroup-datascience, job=53e02c7b-9037-4b48-b00a-86fab2fd1cfd, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649825942033, endTime=null, startTime=1649825942114, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=tcSHIXQZGA0pnsZNraMCfg==, generatedId=mansagroup-datascience:europe-west4.53e02c7b-9037-4b48-b00a-86fab2fd1cfd, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/53e02c7b-9037-4b48-b00a-86fab2fd1cfd?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_epz_contacts_list_memberships}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} 2022-04-13 04:59:02 destination > 2022-04-13 04:59:02 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):319 - Waiting for job finish Job{job=JobId{project=mansagroup-datascience, job=53e02c7b-9037-4b48-b00a-86fab2fd1cfd, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649825942033, endTime=null, startTime=1649825942114, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=tcSHIXQZGA0pnsZNraMCfg==, generatedId=mansagroup-datascience:europe-west4.53e02c7b-9037-4b48-b00a-86fab2fd1cfd, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/53e02c7b-9037-4b48-b00a-86fab2fd1cfd?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_epz_contacts_list_memberships}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}}. Status: JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 04:59:02 destination > 2022-04-13 04:59:02 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):135 - [JobId{project=mansagroup-datascience, job=0112b0c0-ab13-4ac1-af54-62bffae0150a, location=europe-west4}] Created a new job to upload records to tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_epz_contacts_list_memberships}} (dataset hubspot_): Job{job=JobId{project=mansagroup-datascience, job=0112b0c0-ab13-4ac1-af54-62bffae0150a, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649825942068, endTime=null, startTime=1649825942156, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=sBngjQlO0Nnoodh0sgcvKw==, generatedId=mansagroup-datascience:europe-west4.0112b0c0-ab13-4ac1-af54-62bffae0150a, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/0112b0c0-ab13-4ac1-af54-62bffae0150a?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_epz_contacts_list_memberships}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} 2022-04-13 04:59:02 destination > 2022-04-13 04:59:02 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):319 - Waiting for job finish Job{job=JobId{project=mansagroup-datascience, job=0112b0c0-ab13-4ac1-af54-62bffae0150a, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649825942068, endTime=null, startTime=1649825942156, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=sBngjQlO0Nnoodh0sgcvKw==, generatedId=mansagroup-datascience:europe-west4.0112b0c0-ab13-4ac1-af54-62bffae0150a, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/0112b0c0-ab13-4ac1-af54-62bffae0150a?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_epz_contacts_list_memberships}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}}. Status: JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 04:59:12 destination > 2022-04-13 04:59:12 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):321 - Job finish Job{job=JobId{project=mansagroup-datascience, job=53e02c7b-9037-4b48-b00a-86fab2fd1cfd, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649825942033, endTime=null, startTime=1649825942114, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=tcSHIXQZGA0pnsZNraMCfg==, generatedId=mansagroup-datascience:europe-west4.53e02c7b-9037-4b48-b00a-86fab2fd1cfd, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/53e02c7b-9037-4b48-b00a-86fab2fd1cfd?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_epz_contacts_list_memberships}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} with status JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 04:59:12 destination > 2022-04-13 04:59:12 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):139 - [JobId{project=mansagroup-datascience, job=53e02c7b-9037-4b48-b00a-86fab2fd1cfd, location=europe-west4}] Tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_epz_contacts_list_memberships}} (dataset hubspot_) is successfully appended with staging files 2022-04-13 04:59:12 destination > 2022-04-13 04:59:12 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):126 - Uploading staged file: gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro 2022-04-13 04:59:12 destination > 2022-04-13 04:59:12 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):135 - [JobId{project=mansagroup-datascience, job=11078834-7711-4619-9381-1df7296e27c5, location=europe-west4}] Created a new job to upload records to tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_epz_contacts_list_memberships}} (dataset hubspot_): Job{job=JobId{project=mansagroup-datascience, job=11078834-7711-4619-9381-1df7296e27c5, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649825952690, endTime=null, startTime=1649825952757, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=/EhJEbdLcmdc51EqFxy7dw==, generatedId=mansagroup-datascience:europe-west4.11078834-7711-4619-9381-1df7296e27c5, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/11078834-7711-4619-9381-1df7296e27c5?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_epz_contacts_list_memberships}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} 2022-04-13 04:59:12 destination > 2022-04-13 04:59:12 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):319 - Waiting for job finish Job{job=JobId{project=mansagroup-datascience, job=11078834-7711-4619-9381-1df7296e27c5, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649825952690, endTime=null, startTime=1649825952757, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=/EhJEbdLcmdc51EqFxy7dw==, generatedId=mansagroup-datascience:europe-west4.11078834-7711-4619-9381-1df7296e27c5, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/11078834-7711-4619-9381-1df7296e27c5?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_epz_contacts_list_memberships}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}}. Status: JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 04:59:13 destination > 2022-04-13 04:59:13 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):321 - Job finish Job{job=JobId{project=mansagroup-datascience, job=0112b0c0-ab13-4ac1-af54-62bffae0150a, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649825942068, endTime=null, startTime=1649825942156, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=sBngjQlO0Nnoodh0sgcvKw==, generatedId=mansagroup-datascience:europe-west4.0112b0c0-ab13-4ac1-af54-62bffae0150a, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/0112b0c0-ab13-4ac1-af54-62bffae0150a?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_epz_contacts_list_memberships}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} with status JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 04:59:13 destination > 2022-04-13 04:59:13 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):139 - [JobId{project=mansagroup-datascience, job=0112b0c0-ab13-4ac1-af54-62bffae0150a, location=europe-west4}] Tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_epz_contacts_list_memberships}} (dataset hubspot_) is successfully appended with staging files 2022-04-13 04:59:13 destination > 2022-04-13 04:59:13 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):126 - Uploading staged file: gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro 2022-04-13 04:59:13 destination > 2022-04-13 04:59:13 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):135 - [JobId{project=mansagroup-datascience, job=7698dec3-9896-4e7d-a582-11a28963bcfd, location=europe-west4}] Created a new job to upload records to tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_epz_contacts_list_memberships}} (dataset hubspot_): Job{job=JobId{project=mansagroup-datascience, job=7698dec3-9896-4e7d-a582-11a28963bcfd, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649825953515, endTime=null, startTime=1649825953588, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=SqASqR3NBexG4sThxFq1bA==, generatedId=mansagroup-datascience:europe-west4.7698dec3-9896-4e7d-a582-11a28963bcfd, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/7698dec3-9896-4e7d-a582-11a28963bcfd?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_epz_contacts_list_memberships}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} 2022-04-13 04:59:13 destination > 2022-04-13 04:59:13 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):319 - Waiting for job finish Job{job=JobId{project=mansagroup-datascience, job=7698dec3-9896-4e7d-a582-11a28963bcfd, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649825953515, endTime=null, startTime=1649825953588, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=SqASqR3NBexG4sThxFq1bA==, generatedId=mansagroup-datascience:europe-west4.7698dec3-9896-4e7d-a582-11a28963bcfd, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/7698dec3-9896-4e7d-a582-11a28963bcfd?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_epz_contacts_list_memberships}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}}. Status: JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 04:59:15 destination > 2022-04-13 04:59:15 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):321 - Job finish Job{job=JobId{project=mansagroup-datascience, job=11078834-7711-4619-9381-1df7296e27c5, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649825952690, endTime=null, startTime=1649825952757, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=/EhJEbdLcmdc51EqFxy7dw==, generatedId=mansagroup-datascience:europe-west4.11078834-7711-4619-9381-1df7296e27c5, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/11078834-7711-4619-9381-1df7296e27c5?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_epz_contacts_list_memberships}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} with status JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 04:59:15 destination > 2022-04-13 04:59:15 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):139 - [JobId{project=mansagroup-datascience, job=11078834-7711-4619-9381-1df7296e27c5, location=europe-west4}] Tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_epz_contacts_list_memberships}} (dataset hubspot_) is successfully appended with staging files 2022-04-13 04:59:15 destination > 2022-04-13 04:59:15 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):126 - Uploading staged file: gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro 2022-04-13 04:59:15 destination > 2022-04-13 04:59:15 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):135 - [JobId{project=mansagroup-datascience, job=9e5b201e-e333-45c7-8d44-7fbbbc1a6010, location=europe-west4}] Created a new job to upload records to tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_epz_contacts_list_memberships}} (dataset hubspot_): Job{job=JobId{project=mansagroup-datascience, job=9e5b201e-e333-45c7-8d44-7fbbbc1a6010, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649825955217, endTime=null, startTime=1649825955315, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=KNDm0Nf6Q94+cZNGlV766g==, generatedId=mansagroup-datascience:europe-west4.9e5b201e-e333-45c7-8d44-7fbbbc1a6010, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/9e5b201e-e333-45c7-8d44-7fbbbc1a6010?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_epz_contacts_list_memberships}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} 2022-04-13 04:59:15 destination > 2022-04-13 04:59:15 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):319 - Waiting for job finish Job{job=JobId{project=mansagroup-datascience, job=9e5b201e-e333-45c7-8d44-7fbbbc1a6010, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649825955217, endTime=null, startTime=1649825955315, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=KNDm0Nf6Q94+cZNGlV766g==, generatedId=mansagroup-datascience:europe-west4.9e5b201e-e333-45c7-8d44-7fbbbc1a6010, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/9e5b201e-e333-45c7-8d44-7fbbbc1a6010?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_epz_contacts_list_memberships}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}}. Status: JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 04:59:23 destination > 2022-04-13 04:59:23 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):321 - Job finish Job{job=JobId{project=mansagroup-datascience, job=7698dec3-9896-4e7d-a582-11a28963bcfd, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649825953515, endTime=null, startTime=1649825953588, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=SqASqR3NBexG4sThxFq1bA==, generatedId=mansagroup-datascience:europe-west4.7698dec3-9896-4e7d-a582-11a28963bcfd, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/7698dec3-9896-4e7d-a582-11a28963bcfd?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_epz_contacts_list_memberships}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} with status JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 04:59:23 destination > 2022-04-13 04:59:23 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):139 - [JobId{project=mansagroup-datascience, job=7698dec3-9896-4e7d-a582-11a28963bcfd, location=europe-west4}] Tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_epz_contacts_list_memberships}} (dataset hubspot_) is successfully appended with staging files 2022-04-13 04:59:27 destination > 2022-04-13 04:59:27 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):321 - Job finish Job{job=JobId{project=mansagroup-datascience, job=9e5b201e-e333-45c7-8d44-7fbbbc1a6010, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649825955217, endTime=null, startTime=1649825955315, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=KNDm0Nf6Q94+cZNGlV766g==, generatedId=mansagroup-datascience:europe-west4.9e5b201e-e333-45c7-8d44-7fbbbc1a6010, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/9e5b201e-e333-45c7-8d44-7fbbbc1a6010?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_epz_contacts_list_memberships}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} with status JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 04:59:27 destination > 2022-04-13 04:59:27 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):139 - [JobId{project=mansagroup-datascience, job=9e5b201e-e333-45c7-8d44-7fbbbc1a6010, location=europe-west4}] Tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_epz_contacts_list_memberships}} (dataset hubspot_) is successfully appended with staging files 2022-04-13 04:59:27 destination > 2022-04-13 04:59:27 INFO i.a.i.d.b.BigQueryGcsOperations(copyIntoTargetTable):162 - Copying data from tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_epz_contacts_list_memberships}} to target table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_raw_contacts_list_memberships}} (dataset hubspot_, sync mode overwrite) 2022-04-13 04:59:30 destination > 2022-04-13 04:59:30 INFO i.a.i.d.b.u.AbstractBigQueryUploader(copyTable):185 - successfully copied table: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_epz_contacts_list_memberships}} to table: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_raw_contacts_list_memberships}} 2022-04-13 04:59:30 destination > 2022-04-13 04:59:30 INFO i.a.i.d.b.BigQueryGcsOperations(copyIntoTmpTableFromStage):122 - Uploading records from staging files to tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_myb_ticket_pipelines}} (dataset hubspot_): [1.avro] 2022-04-13 04:59:30 destination > 2022-04-13 04:59:30 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):126 - Uploading staged file: gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__ticket_pipelines/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro 2022-04-13 04:59:30 destination > 2022-04-13 04:59:30 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):135 - [JobId{project=mansagroup-datascience, job=00b19720-2e8c-41b8-ae2c-c705bece223d, location=europe-west4}] Created a new job to upload records to tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_myb_ticket_pipelines}} (dataset hubspot_): Job{job=JobId{project=mansagroup-datascience, job=00b19720-2e8c-41b8-ae2c-c705bece223d, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649825970429, endTime=null, startTime=1649825970499, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=ff/PUuY9Uby031cw/SJj1Q==, generatedId=mansagroup-datascience:europe-west4.00b19720-2e8c-41b8-ae2c-c705bece223d, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/00b19720-2e8c-41b8-ae2c-c705bece223d?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_myb_ticket_pipelines}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__ticket_pipelines/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} 2022-04-13 04:59:30 destination > 2022-04-13 04:59:30 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):319 - Waiting for job finish Job{job=JobId{project=mansagroup-datascience, job=00b19720-2e8c-41b8-ae2c-c705bece223d, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649825970429, endTime=null, startTime=1649825970499, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=ff/PUuY9Uby031cw/SJj1Q==, generatedId=mansagroup-datascience:europe-west4.00b19720-2e8c-41b8-ae2c-c705bece223d, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/00b19720-2e8c-41b8-ae2c-c705bece223d?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_myb_ticket_pipelines}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__ticket_pipelines/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}}. Status: JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 04:59:32 destination > 2022-04-13 04:59:32 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):321 - Job finish Job{job=JobId{project=mansagroup-datascience, job=00b19720-2e8c-41b8-ae2c-c705bece223d, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649825970429, endTime=null, startTime=1649825970499, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=ff/PUuY9Uby031cw/SJj1Q==, generatedId=mansagroup-datascience:europe-west4.00b19720-2e8c-41b8-ae2c-c705bece223d, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/00b19720-2e8c-41b8-ae2c-c705bece223d?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_myb_ticket_pipelines}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__ticket_pipelines/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} with status JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 04:59:32 destination > 2022-04-13 04:59:32 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):139 - [JobId{project=mansagroup-datascience, job=00b19720-2e8c-41b8-ae2c-c705bece223d, location=europe-west4}] Tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_myb_ticket_pipelines}} (dataset hubspot_) is successfully appended with staging files 2022-04-13 04:59:32 destination > 2022-04-13 04:59:32 INFO i.a.i.d.b.BigQueryGcsOperations(copyIntoTargetTable):162 - Copying data from tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_myb_ticket_pipelines}} to target table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_raw_ticket_pipelines}} (dataset hubspot_, sync mode overwrite) 2022-04-13 04:59:33 destination > 2022-04-13 04:59:33 INFO i.a.i.d.b.u.AbstractBigQueryUploader(copyTable):185 - successfully copied table: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_myb_ticket_pipelines}} to table: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_raw_ticket_pipelines}} 2022-04-13 04:59:33 destination > 2022-04-13 04:59:33 INFO i.a.i.d.b.BigQueryGcsOperations(copyIntoTmpTableFromStage):122 - Uploading records from staging files to tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_iui_email_events}} (dataset hubspot_): [1.avro] 2022-04-13 04:59:33 destination > 2022-04-13 04:59:33 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):126 - Uploading staged file: gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__email_events/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro 2022-04-13 04:59:33 destination > 2022-04-13 04:59:33 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):135 - [JobId{project=mansagroup-datascience, job=c9cfc633-b62f-419e-bbe0-5397565fb062, location=europe-west4}] Created a new job to upload records to tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_iui_email_events}} (dataset hubspot_): Job{job=JobId{project=mansagroup-datascience, job=c9cfc633-b62f-419e-bbe0-5397565fb062, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649825973732, endTime=null, startTime=1649825973822, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=sXUIO47pKwC0kxzKfE6H3w==, generatedId=mansagroup-datascience:europe-west4.c9cfc633-b62f-419e-bbe0-5397565fb062, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/c9cfc633-b62f-419e-bbe0-5397565fb062?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_iui_email_events}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__email_events/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} 2022-04-13 04:59:33 destination > 2022-04-13 04:59:33 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):319 - Waiting for job finish Job{job=JobId{project=mansagroup-datascience, job=c9cfc633-b62f-419e-bbe0-5397565fb062, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649825973732, endTime=null, startTime=1649825973822, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=sXUIO47pKwC0kxzKfE6H3w==, generatedId=mansagroup-datascience:europe-west4.c9cfc633-b62f-419e-bbe0-5397565fb062, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/c9cfc633-b62f-419e-bbe0-5397565fb062?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_iui_email_events}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__email_events/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}}. Status: JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 04:59:44 destination > 2022-04-13 04:59:44 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):321 - Job finish Job{job=JobId{project=mansagroup-datascience, job=c9cfc633-b62f-419e-bbe0-5397565fb062, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649825973732, endTime=null, startTime=1649825973822, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=sXUIO47pKwC0kxzKfE6H3w==, generatedId=mansagroup-datascience:europe-west4.c9cfc633-b62f-419e-bbe0-5397565fb062, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/c9cfc633-b62f-419e-bbe0-5397565fb062?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_iui_email_events}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__email_events/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} with status JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 04:59:44 destination > 2022-04-13 04:59:44 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):139 - [JobId{project=mansagroup-datascience, job=c9cfc633-b62f-419e-bbe0-5397565fb062, location=europe-west4}] Tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_iui_email_events}} (dataset hubspot_) is successfully appended with staging files 2022-04-13 04:59:44 destination > 2022-04-13 04:59:44 INFO i.a.i.d.b.BigQueryGcsOperations(copyIntoTargetTable):162 - Copying data from tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_iui_email_events}} to target table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_raw_email_events}} (dataset hubspot_, sync mode append) 2022-04-13 04:59:46 destination > 2022-04-13 04:59:46 INFO i.a.i.d.b.u.AbstractBigQueryUploader(copyTable):185 - successfully copied table: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_iui_email_events}} to table: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_raw_email_events}} 2022-04-13 04:59:46 destination > 2022-04-13 04:59:46 INFO i.a.i.d.b.BigQueryGcsOperations(copyIntoTmpTableFromStage):122 - Uploading records from staging files to tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_vth_engagements_calls}} (dataset hubspot_): [1.avro, 2.avro] 2022-04-13 04:59:46 destination > 2022-04-13 04:59:46 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):126 - Uploading staged file: gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_calls/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro 2022-04-13 04:59:46 destination > 2022-04-13 04:59:46 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):126 - Uploading staged file: gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_calls/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro 2022-04-13 04:59:46 destination > 2022-04-13 04:59:46 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):135 - [JobId{project=mansagroup-datascience, job=f8c98052-feb1-4e74-af67-18a041d6664f, location=europe-west4}] Created a new job to upload records to tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_vth_engagements_calls}} (dataset hubspot_): Job{job=JobId{project=mansagroup-datascience, job=f8c98052-feb1-4e74-af67-18a041d6664f, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649825986207, endTime=null, startTime=1649825986275, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=2z3GVTP4eOt/jCoDG1gFKQ==, generatedId=mansagroup-datascience:europe-west4.f8c98052-feb1-4e74-af67-18a041d6664f, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/f8c98052-feb1-4e74-af67-18a041d6664f?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_vth_engagements_calls}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_calls/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} 2022-04-13 04:59:46 destination > 2022-04-13 04:59:46 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):319 - Waiting for job finish Job{job=JobId{project=mansagroup-datascience, job=f8c98052-feb1-4e74-af67-18a041d6664f, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649825986207, endTime=null, startTime=1649825986275, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=2z3GVTP4eOt/jCoDG1gFKQ==, generatedId=mansagroup-datascience:europe-west4.f8c98052-feb1-4e74-af67-18a041d6664f, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/f8c98052-feb1-4e74-af67-18a041d6664f?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_vth_engagements_calls}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_calls/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}}. Status: JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 04:59:46 destination > 2022-04-13 04:59:46 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):135 - [JobId{project=mansagroup-datascience, job=7ac7be8c-762a-419b-998e-909e1656525f, location=europe-west4}] Created a new job to upload records to tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_vth_engagements_calls}} (dataset hubspot_): Job{job=JobId{project=mansagroup-datascience, job=7ac7be8c-762a-419b-998e-909e1656525f, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649825986233, endTime=null, startTime=1649825986308, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=Hl9b2+6vCIqCCDWqWUF2Lg==, generatedId=mansagroup-datascience:europe-west4.7ac7be8c-762a-419b-998e-909e1656525f, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/7ac7be8c-762a-419b-998e-909e1656525f?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_vth_engagements_calls}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_calls/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} 2022-04-13 04:59:46 destination > 2022-04-13 04:59:46 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):319 - Waiting for job finish Job{job=JobId{project=mansagroup-datascience, job=7ac7be8c-762a-419b-998e-909e1656525f, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649825986233, endTime=null, startTime=1649825986308, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=Hl9b2+6vCIqCCDWqWUF2Lg==, generatedId=mansagroup-datascience:europe-west4.7ac7be8c-762a-419b-998e-909e1656525f, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/7ac7be8c-762a-419b-998e-909e1656525f?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_vth_engagements_calls}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_calls/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}}. Status: JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 04:59:49 destination > 2022-04-13 04:59:49 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):321 - Job finish Job{job=JobId{project=mansagroup-datascience, job=f8c98052-feb1-4e74-af67-18a041d6664f, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649825986207, endTime=null, startTime=1649825986275, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=2z3GVTP4eOt/jCoDG1gFKQ==, generatedId=mansagroup-datascience:europe-west4.f8c98052-feb1-4e74-af67-18a041d6664f, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/f8c98052-feb1-4e74-af67-18a041d6664f?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_vth_engagements_calls}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_calls/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} with status JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 04:59:49 destination > 2022-04-13 04:59:49 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):139 - [JobId{project=mansagroup-datascience, job=f8c98052-feb1-4e74-af67-18a041d6664f, location=europe-west4}] Tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_vth_engagements_calls}} (dataset hubspot_) is successfully appended with staging files 2022-04-13 04:59:52 destination > 2022-04-13 04:59:52 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):321 - Job finish Job{job=JobId{project=mansagroup-datascience, job=7ac7be8c-762a-419b-998e-909e1656525f, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649825986233, endTime=null, startTime=1649825986308, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=Hl9b2+6vCIqCCDWqWUF2Lg==, generatedId=mansagroup-datascience:europe-west4.7ac7be8c-762a-419b-998e-909e1656525f, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/7ac7be8c-762a-419b-998e-909e1656525f?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_vth_engagements_calls}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_calls/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} with status JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 04:59:52 destination > 2022-04-13 04:59:52 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):139 - [JobId{project=mansagroup-datascience, job=7ac7be8c-762a-419b-998e-909e1656525f, location=europe-west4}] Tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_vth_engagements_calls}} (dataset hubspot_) is successfully appended with staging files 2022-04-13 04:59:52 destination > 2022-04-13 04:59:52 INFO i.a.i.d.b.BigQueryGcsOperations(copyIntoTargetTable):162 - Copying data from tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_vth_engagements_calls}} to target table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_raw_engagements_calls}} (dataset hubspot_, sync mode append) 2022-04-13 04:59:56 destination > 2022-04-13 04:59:56 INFO i.a.i.d.b.u.AbstractBigQueryUploader(copyTable):185 - successfully copied table: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_vth_engagements_calls}} to table: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_raw_engagements_calls}} 2022-04-13 04:59:56 destination > 2022-04-13 04:59:56 INFO i.a.i.d.b.BigQueryGcsOperations(copyIntoTmpTableFromStage):122 - Uploading records from staging files to tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_avz_contact_lists}} (dataset hubspot_): [1.avro] 2022-04-13 04:59:56 destination > 2022-04-13 04:59:56 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):126 - Uploading staged file: gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__contact_lists/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro 2022-04-13 04:59:56 destination > 2022-04-13 04:59:56 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):135 - [JobId{project=mansagroup-datascience, job=b8a205b6-af14-43ab-92a9-ef6eeeeb37de, location=europe-west4}] Created a new job to upload records to tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_avz_contact_lists}} (dataset hubspot_): Job{job=JobId{project=mansagroup-datascience, job=b8a205b6-af14-43ab-92a9-ef6eeeeb37de, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649825996347, endTime=null, startTime=1649825996488, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=CYHfR6vF0WFgRgcFWGU6pA==, generatedId=mansagroup-datascience:europe-west4.b8a205b6-af14-43ab-92a9-ef6eeeeb37de, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/b8a205b6-af14-43ab-92a9-ef6eeeeb37de?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_avz_contact_lists}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__contact_lists/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} 2022-04-13 04:59:56 destination > 2022-04-13 04:59:56 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):319 - Waiting for job finish Job{job=JobId{project=mansagroup-datascience, job=b8a205b6-af14-43ab-92a9-ef6eeeeb37de, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649825996347, endTime=null, startTime=1649825996488, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=CYHfR6vF0WFgRgcFWGU6pA==, generatedId=mansagroup-datascience:europe-west4.b8a205b6-af14-43ab-92a9-ef6eeeeb37de, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/b8a205b6-af14-43ab-92a9-ef6eeeeb37de?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_avz_contact_lists}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__contact_lists/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}}. Status: JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 04:59:58 destination > 2022-04-13 04:59:58 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):321 - Job finish Job{job=JobId{project=mansagroup-datascience, job=b8a205b6-af14-43ab-92a9-ef6eeeeb37de, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649825996347, endTime=null, startTime=1649825996488, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=CYHfR6vF0WFgRgcFWGU6pA==, generatedId=mansagroup-datascience:europe-west4.b8a205b6-af14-43ab-92a9-ef6eeeeb37de, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/b8a205b6-af14-43ab-92a9-ef6eeeeb37de?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_avz_contact_lists}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__contact_lists/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} with status JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 04:59:58 destination > 2022-04-13 04:59:58 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):139 - [JobId{project=mansagroup-datascience, job=b8a205b6-af14-43ab-92a9-ef6eeeeb37de, location=europe-west4}] Tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_avz_contact_lists}} (dataset hubspot_) is successfully appended with staging files 2022-04-13 04:59:58 destination > 2022-04-13 04:59:58 INFO i.a.i.d.b.BigQueryGcsOperations(copyIntoTargetTable):162 - Copying data from tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_avz_contact_lists}} to target table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_raw_contact_lists}} (dataset hubspot_, sync mode append) 2022-04-13 05:00:02 destination > 2022-04-13 05:00:02 INFO i.a.i.d.b.u.AbstractBigQueryUploader(copyTable):185 - successfully copied table: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_avz_contact_lists}} to table: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_raw_contact_lists}} 2022-04-13 05:00:02 destination > 2022-04-13 05:00:02 INFO i.a.i.d.b.BigQueryGcsOperations(copyIntoTmpTableFromStage):122 - Uploading records from staging files to tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_hiq_contacts}} (dataset hubspot_): [1.avro, 2.avro, 3.avro, 4.avro, 5.avro, 6.avro] 2022-04-13 05:00:02 destination > 2022-04-13 05:00:02 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):126 - Uploading staged file: gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro 2022-04-13 05:00:02 destination > 2022-04-13 05:00:02 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):126 - Uploading staged file: gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro 2022-04-13 05:00:02 destination > 2022-04-13 05:00:02 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):135 - [JobId{project=mansagroup-datascience, job=e2a4b7df-cf44-4bcf-9bf6-e791c141ed00, location=europe-west4}] Created a new job to upload records to tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_hiq_contacts}} (dataset hubspot_): Job{job=JobId{project=mansagroup-datascience, job=e2a4b7df-cf44-4bcf-9bf6-e791c141ed00, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649826002469, endTime=null, startTime=1649826002531, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=Qo8FMFgKMqxfN9QgqvqOMw==, generatedId=mansagroup-datascience:europe-west4.e2a4b7df-cf44-4bcf-9bf6-e791c141ed00, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/e2a4b7df-cf44-4bcf-9bf6-e791c141ed00?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_hiq_contacts}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} 2022-04-13 05:00:02 destination > 2022-04-13 05:00:02 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):319 - Waiting for job finish Job{job=JobId{project=mansagroup-datascience, job=e2a4b7df-cf44-4bcf-9bf6-e791c141ed00, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649826002469, endTime=null, startTime=1649826002531, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=Qo8FMFgKMqxfN9QgqvqOMw==, generatedId=mansagroup-datascience:europe-west4.e2a4b7df-cf44-4bcf-9bf6-e791c141ed00, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/e2a4b7df-cf44-4bcf-9bf6-e791c141ed00?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_hiq_contacts}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}}. Status: JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 05:00:02 destination > 2022-04-13 05:00:02 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):135 - [JobId{project=mansagroup-datascience, job=64351947-2bd3-45ce-b775-fb22ce2287bf, location=europe-west4}] Created a new job to upload records to tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_hiq_contacts}} (dataset hubspot_): Job{job=JobId{project=mansagroup-datascience, job=64351947-2bd3-45ce-b775-fb22ce2287bf, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649826002474, endTime=null, startTime=1649826002533, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=IqPSzUv13StGYhLm8IPkJw==, generatedId=mansagroup-datascience:europe-west4.64351947-2bd3-45ce-b775-fb22ce2287bf, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/64351947-2bd3-45ce-b775-fb22ce2287bf?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_hiq_contacts}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} 2022-04-13 05:00:02 destination > 2022-04-13 05:00:02 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):319 - Waiting for job finish Job{job=JobId{project=mansagroup-datascience, job=64351947-2bd3-45ce-b775-fb22ce2287bf, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649826002474, endTime=null, startTime=1649826002533, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=IqPSzUv13StGYhLm8IPkJw==, generatedId=mansagroup-datascience:europe-west4.64351947-2bd3-45ce-b775-fb22ce2287bf, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/64351947-2bd3-45ce-b775-fb22ce2287bf?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_hiq_contacts}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}}. Status: JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 05:00:10 destination > 2022-04-13 05:00:10 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):321 - Job finish Job{job=JobId{project=mansagroup-datascience, job=64351947-2bd3-45ce-b775-fb22ce2287bf, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649826002474, endTime=null, startTime=1649826002533, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=IqPSzUv13StGYhLm8IPkJw==, generatedId=mansagroup-datascience:europe-west4.64351947-2bd3-45ce-b775-fb22ce2287bf, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/64351947-2bd3-45ce-b775-fb22ce2287bf?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_hiq_contacts}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} with status JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 05:00:10 destination > 2022-04-13 05:00:10 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):139 - [JobId{project=mansagroup-datascience, job=64351947-2bd3-45ce-b775-fb22ce2287bf, location=europe-west4}] Tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_hiq_contacts}} (dataset hubspot_) is successfully appended with staging files 2022-04-13 05:00:10 destination > 2022-04-13 05:00:10 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):126 - Uploading staged file: gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro 2022-04-13 05:00:10 destination > 2022-04-13 05:00:10 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):321 - Job finish Job{job=JobId{project=mansagroup-datascience, job=e2a4b7df-cf44-4bcf-9bf6-e791c141ed00, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649826002469, endTime=null, startTime=1649826002531, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=Qo8FMFgKMqxfN9QgqvqOMw==, generatedId=mansagroup-datascience:europe-west4.e2a4b7df-cf44-4bcf-9bf6-e791c141ed00, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/e2a4b7df-cf44-4bcf-9bf6-e791c141ed00?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_hiq_contacts}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} with status JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 05:00:10 destination > 2022-04-13 05:00:10 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):139 - [JobId{project=mansagroup-datascience, job=e2a4b7df-cf44-4bcf-9bf6-e791c141ed00, location=europe-west4}] Tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_hiq_contacts}} (dataset hubspot_) is successfully appended with staging files 2022-04-13 05:00:10 destination > 2022-04-13 05:00:10 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):126 - Uploading staged file: gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro 2022-04-13 05:00:10 destination > 2022-04-13 05:00:10 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):135 - [JobId{project=mansagroup-datascience, job=c2f4d8fa-191e-41de-a47d-004b16f91556, location=europe-west4}] Created a new job to upload records to tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_hiq_contacts}} (dataset hubspot_): Job{job=JobId{project=mansagroup-datascience, job=c2f4d8fa-191e-41de-a47d-004b16f91556, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649826010603, endTime=null, startTime=1649826010673, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=HIo9TeOdo03jclmfAojtLw==, generatedId=mansagroup-datascience:europe-west4.c2f4d8fa-191e-41de-a47d-004b16f91556, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/c2f4d8fa-191e-41de-a47d-004b16f91556?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_hiq_contacts}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} 2022-04-13 05:00:10 destination > 2022-04-13 05:00:10 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):319 - Waiting for job finish Job{job=JobId{project=mansagroup-datascience, job=c2f4d8fa-191e-41de-a47d-004b16f91556, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649826010603, endTime=null, startTime=1649826010673, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=HIo9TeOdo03jclmfAojtLw==, generatedId=mansagroup-datascience:europe-west4.c2f4d8fa-191e-41de-a47d-004b16f91556, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/c2f4d8fa-191e-41de-a47d-004b16f91556?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_hiq_contacts}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}}. Status: JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 05:00:10 destination > 2022-04-13 05:00:10 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):135 - [JobId{project=mansagroup-datascience, job=aa562179-9191-4694-82b7-2313130267e3, location=europe-west4}] Created a new job to upload records to tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_hiq_contacts}} (dataset hubspot_): Job{job=JobId{project=mansagroup-datascience, job=aa562179-9191-4694-82b7-2313130267e3, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649826010644, endTime=null, startTime=1649826010726, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=UphLLB3jMuSU9vCci/kQWw==, generatedId=mansagroup-datascience:europe-west4.aa562179-9191-4694-82b7-2313130267e3, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/aa562179-9191-4694-82b7-2313130267e3?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_hiq_contacts}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} 2022-04-13 05:00:10 destination > 2022-04-13 05:00:10 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):319 - Waiting for job finish Job{job=JobId{project=mansagroup-datascience, job=aa562179-9191-4694-82b7-2313130267e3, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649826010644, endTime=null, startTime=1649826010726, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=UphLLB3jMuSU9vCci/kQWw==, generatedId=mansagroup-datascience:europe-west4.aa562179-9191-4694-82b7-2313130267e3, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/aa562179-9191-4694-82b7-2313130267e3?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_hiq_contacts}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}}. Status: JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 05:00:13 destination > 2022-04-13 05:00:13 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):321 - Job finish Job{job=JobId{project=mansagroup-datascience, job=c2f4d8fa-191e-41de-a47d-004b16f91556, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649826010603, endTime=null, startTime=1649826010673, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=HIo9TeOdo03jclmfAojtLw==, generatedId=mansagroup-datascience:europe-west4.c2f4d8fa-191e-41de-a47d-004b16f91556, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/c2f4d8fa-191e-41de-a47d-004b16f91556?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_hiq_contacts}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} with status JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 05:00:13 destination > 2022-04-13 05:00:13 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):139 - [JobId{project=mansagroup-datascience, job=c2f4d8fa-191e-41de-a47d-004b16f91556, location=europe-west4}] Tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_hiq_contacts}} (dataset hubspot_) is successfully appended with staging files 2022-04-13 05:00:13 destination > 2022-04-13 05:00:13 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):126 - Uploading staged file: gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro 2022-04-13 05:00:13 destination > 2022-04-13 05:00:13 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):135 - [JobId{project=mansagroup-datascience, job=d10812a2-eb5d-4808-aa57-f45594152177, location=europe-west4}] Created a new job to upload records to tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_hiq_contacts}} (dataset hubspot_): Job{job=JobId{project=mansagroup-datascience, job=d10812a2-eb5d-4808-aa57-f45594152177, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649826013738, endTime=null, startTime=1649826013806, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=bZS2v/HNbX15CfUsDnoG8Q==, generatedId=mansagroup-datascience:europe-west4.d10812a2-eb5d-4808-aa57-f45594152177, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/d10812a2-eb5d-4808-aa57-f45594152177?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_hiq_contacts}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} 2022-04-13 05:00:13 destination > 2022-04-13 05:00:13 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):319 - Waiting for job finish Job{job=JobId{project=mansagroup-datascience, job=d10812a2-eb5d-4808-aa57-f45594152177, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649826013738, endTime=null, startTime=1649826013806, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=bZS2v/HNbX15CfUsDnoG8Q==, generatedId=mansagroup-datascience:europe-west4.d10812a2-eb5d-4808-aa57-f45594152177, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/d10812a2-eb5d-4808-aa57-f45594152177?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_hiq_contacts}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}}. Status: JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 05:00:17 destination > 2022-04-13 05:00:17 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):321 - Job finish Job{job=JobId{project=mansagroup-datascience, job=aa562179-9191-4694-82b7-2313130267e3, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649826010644, endTime=null, startTime=1649826010726, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=UphLLB3jMuSU9vCci/kQWw==, generatedId=mansagroup-datascience:europe-west4.aa562179-9191-4694-82b7-2313130267e3, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/aa562179-9191-4694-82b7-2313130267e3?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_hiq_contacts}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} with status JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 05:00:17 destination > 2022-04-13 05:00:17 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):139 - [JobId{project=mansagroup-datascience, job=aa562179-9191-4694-82b7-2313130267e3, location=europe-west4}] Tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_hiq_contacts}} (dataset hubspot_) is successfully appended with staging files 2022-04-13 05:00:17 destination > 2022-04-13 05:00:17 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):126 - Uploading staged file: gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro 2022-04-13 05:00:17 destination > 2022-04-13 05:00:17 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):135 - [JobId{project=mansagroup-datascience, job=7ff58cb7-67d0-4fad-a340-c17abf67bde4, location=europe-west4}] Created a new job to upload records to tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_hiq_contacts}} (dataset hubspot_): Job{job=JobId{project=mansagroup-datascience, job=7ff58cb7-67d0-4fad-a340-c17abf67bde4, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649826017843, endTime=null, startTime=1649826017914, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=j4K4boImYEHRjdLW0wMxbQ==, generatedId=mansagroup-datascience:europe-west4.7ff58cb7-67d0-4fad-a340-c17abf67bde4, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/7ff58cb7-67d0-4fad-a340-c17abf67bde4?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_hiq_contacts}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} 2022-04-13 05:00:17 destination > 2022-04-13 05:00:17 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):319 - Waiting for job finish Job{job=JobId{project=mansagroup-datascience, job=7ff58cb7-67d0-4fad-a340-c17abf67bde4, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649826017843, endTime=null, startTime=1649826017914, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=j4K4boImYEHRjdLW0wMxbQ==, generatedId=mansagroup-datascience:europe-west4.7ff58cb7-67d0-4fad-a340-c17abf67bde4, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/7ff58cb7-67d0-4fad-a340-c17abf67bde4?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_hiq_contacts}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}}. Status: JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 05:00:21 destination > 2022-04-13 05:00:21 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):321 - Job finish Job{job=JobId{project=mansagroup-datascience, job=d10812a2-eb5d-4808-aa57-f45594152177, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649826013738, endTime=null, startTime=1649826013806, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=bZS2v/HNbX15CfUsDnoG8Q==, generatedId=mansagroup-datascience:europe-west4.d10812a2-eb5d-4808-aa57-f45594152177, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/d10812a2-eb5d-4808-aa57-f45594152177?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_hiq_contacts}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} with status JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 05:00:21 destination > 2022-04-13 05:00:21 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):139 - [JobId{project=mansagroup-datascience, job=d10812a2-eb5d-4808-aa57-f45594152177, location=europe-west4}] Tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_hiq_contacts}} (dataset hubspot_) is successfully appended with staging files 2022-04-13 05:00:25 destination > 2022-04-13 05:00:25 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):321 - Job finish Job{job=JobId{project=mansagroup-datascience, job=7ff58cb7-67d0-4fad-a340-c17abf67bde4, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649826017843, endTime=null, startTime=1649826017914, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=j4K4boImYEHRjdLW0wMxbQ==, generatedId=mansagroup-datascience:europe-west4.7ff58cb7-67d0-4fad-a340-c17abf67bde4, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/7ff58cb7-67d0-4fad-a340-c17abf67bde4?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_hiq_contacts}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} with status JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 05:00:25 destination > 2022-04-13 05:00:25 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):139 - [JobId{project=mansagroup-datascience, job=7ff58cb7-67d0-4fad-a340-c17abf67bde4, location=europe-west4}] Tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_hiq_contacts}} (dataset hubspot_) is successfully appended with staging files 2022-04-13 05:00:25 destination > 2022-04-13 05:00:25 INFO i.a.i.d.b.BigQueryGcsOperations(copyIntoTargetTable):162 - Copying data from tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_hiq_contacts}} to target table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_raw_contacts}} (dataset hubspot_, sync mode append) 2022-04-13 05:00:29 destination > 2022-04-13 05:00:29 INFO i.a.i.d.b.u.AbstractBigQueryUploader(copyTable):185 - successfully copied table: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_hiq_contacts}} to table: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_raw_contacts}} 2022-04-13 05:00:29 destination > 2022-04-13 05:00:29 INFO i.a.i.d.b.BigQueryGcsOperations(copyIntoTmpTableFromStage):122 - Uploading records from staging files to tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_jlk_form_submissions}} (dataset hubspot_): [1.avro] 2022-04-13 05:00:29 destination > 2022-04-13 05:00:29 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):126 - Uploading staged file: gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__form_submissions/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro 2022-04-13 05:00:29 destination > 2022-04-13 05:00:29 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):135 - [JobId{project=mansagroup-datascience, job=1062585b-599b-4f74-b11a-6518a4cb6f32, location=europe-west4}] Created a new job to upload records to tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_jlk_form_submissions}} (dataset hubspot_): Job{job=JobId{project=mansagroup-datascience, job=1062585b-599b-4f74-b11a-6518a4cb6f32, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649826029189, endTime=null, startTime=1649826029267, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=AqeU1r8BIwwVjaj8sl61PQ==, generatedId=mansagroup-datascience:europe-west4.1062585b-599b-4f74-b11a-6518a4cb6f32, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/1062585b-599b-4f74-b11a-6518a4cb6f32?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_jlk_form_submissions}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__form_submissions/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} 2022-04-13 05:00:29 destination > 2022-04-13 05:00:29 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):319 - Waiting for job finish Job{job=JobId{project=mansagroup-datascience, job=1062585b-599b-4f74-b11a-6518a4cb6f32, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649826029189, endTime=null, startTime=1649826029267, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=AqeU1r8BIwwVjaj8sl61PQ==, generatedId=mansagroup-datascience:europe-west4.1062585b-599b-4f74-b11a-6518a4cb6f32, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/1062585b-599b-4f74-b11a-6518a4cb6f32?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_jlk_form_submissions}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__form_submissions/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}}. Status: JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 05:00:35 destination > 2022-04-13 05:00:35 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):321 - Job finish Job{job=JobId{project=mansagroup-datascience, job=1062585b-599b-4f74-b11a-6518a4cb6f32, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649826029189, endTime=null, startTime=1649826029267, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=AqeU1r8BIwwVjaj8sl61PQ==, generatedId=mansagroup-datascience:europe-west4.1062585b-599b-4f74-b11a-6518a4cb6f32, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/1062585b-599b-4f74-b11a-6518a4cb6f32?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_jlk_form_submissions}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__form_submissions/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} with status JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 05:00:35 destination > 2022-04-13 05:00:35 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):139 - [JobId{project=mansagroup-datascience, job=1062585b-599b-4f74-b11a-6518a4cb6f32, location=europe-west4}] Tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_jlk_form_submissions}} (dataset hubspot_) is successfully appended with staging files 2022-04-13 05:00:35 destination > 2022-04-13 05:00:35 INFO i.a.i.d.b.BigQueryGcsOperations(copyIntoTargetTable):162 - Copying data from tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_jlk_form_submissions}} to target table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_raw_form_submissions}} (dataset hubspot_, sync mode overwrite) 2022-04-13 05:00:37 destination > 2022-04-13 05:00:37 INFO i.a.i.d.b.u.AbstractBigQueryUploader(copyTable):185 - successfully copied table: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_jlk_form_submissions}} to table: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_raw_form_submissions}} 2022-04-13 05:00:37 destination > 2022-04-13 05:00:37 INFO i.a.i.d.b.BigQueryGcsOperations(copyIntoTmpTableFromStage):122 - Uploading records from staging files to tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_nwt_products}} (dataset hubspot_): [] 2022-04-13 05:00:37 destination > 2022-04-13 05:00:37 INFO i.a.i.d.b.BigQueryGcsOperations(copyIntoTargetTable):162 - Copying data from tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_nwt_products}} to target table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_raw_products}} (dataset hubspot_, sync mode append) 2022-04-13 05:00:40 destination > 2022-04-13 05:00:40 INFO i.a.i.d.b.u.AbstractBigQueryUploader(copyTable):185 - successfully copied table: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_nwt_products}} to table: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_raw_products}} 2022-04-13 05:00:40 destination > 2022-04-13 05:00:40 INFO i.a.i.d.b.BigQueryGcsOperations(copyIntoTmpTableFromStage):122 - Uploading records from staging files to tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_wjv_campaigns}} (dataset hubspot_): [1.avro] 2022-04-13 05:00:40 destination > 2022-04-13 05:00:40 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):126 - Uploading staged file: gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__campaigns/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro 2022-04-13 05:00:40 destination > 2022-04-13 05:00:40 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):135 - [JobId{project=mansagroup-datascience, job=4975188e-4e84-46a4-b3cd-2772939078a8, location=europe-west4}] Created a new job to upload records to tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_wjv_campaigns}} (dataset hubspot_): Job{job=JobId{project=mansagroup-datascience, job=4975188e-4e84-46a4-b3cd-2772939078a8, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649826040370, endTime=null, startTime=1649826040440, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=XoD6ANDrU7DerQ0ZYhM7WQ==, generatedId=mansagroup-datascience:europe-west4.4975188e-4e84-46a4-b3cd-2772939078a8, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/4975188e-4e84-46a4-b3cd-2772939078a8?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_wjv_campaigns}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__campaigns/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} 2022-04-13 05:00:40 destination > 2022-04-13 05:00:40 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):319 - Waiting for job finish Job{job=JobId{project=mansagroup-datascience, job=4975188e-4e84-46a4-b3cd-2772939078a8, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649826040370, endTime=null, startTime=1649826040440, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=XoD6ANDrU7DerQ0ZYhM7WQ==, generatedId=mansagroup-datascience:europe-west4.4975188e-4e84-46a4-b3cd-2772939078a8, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/4975188e-4e84-46a4-b3cd-2772939078a8?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_wjv_campaigns}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__campaigns/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}}. Status: JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 05:00:43 destination > 2022-04-13 05:00:43 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):321 - Job finish Job{job=JobId{project=mansagroup-datascience, job=4975188e-4e84-46a4-b3cd-2772939078a8, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649826040370, endTime=null, startTime=1649826040440, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=XoD6ANDrU7DerQ0ZYhM7WQ==, generatedId=mansagroup-datascience:europe-west4.4975188e-4e84-46a4-b3cd-2772939078a8, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/4975188e-4e84-46a4-b3cd-2772939078a8?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_wjv_campaigns}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__campaigns/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} with status JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 05:00:43 destination > 2022-04-13 05:00:43 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):139 - [JobId{project=mansagroup-datascience, job=4975188e-4e84-46a4-b3cd-2772939078a8, location=europe-west4}] Tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_wjv_campaigns}} (dataset hubspot_) is successfully appended with staging files 2022-04-13 05:00:43 destination > 2022-04-13 05:00:43 INFO i.a.i.d.b.BigQueryGcsOperations(copyIntoTargetTable):162 - Copying data from tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_wjv_campaigns}} to target table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_raw_campaigns}} (dataset hubspot_, sync mode overwrite) 2022-04-13 05:00:44 destination > 2022-04-13 05:00:44 INFO i.a.i.d.b.u.AbstractBigQueryUploader(copyTable):185 - successfully copied table: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_wjv_campaigns}} to table: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_raw_campaigns}} 2022-04-13 05:00:44 destination > 2022-04-13 05:00:44 INFO i.a.i.d.b.BigQueryGcsOperations(copyIntoTmpTableFromStage):122 - Uploading records from staging files to tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_pmq_engagements_notes}} (dataset hubspot_): [1.avro, 2.avro] 2022-04-13 05:00:44 destination > 2022-04-13 05:00:44 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):126 - Uploading staged file: gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_notes/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro 2022-04-13 05:00:44 destination > 2022-04-13 05:00:44 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):126 - Uploading staged file: gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_notes/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro 2022-04-13 05:00:44 destination > 2022-04-13 05:00:44 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):135 - [JobId{project=mansagroup-datascience, job=67583009-7cf8-4b25-b54e-7d95955b2a83, location=europe-west4}] Created a new job to upload records to tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_pmq_engagements_notes}} (dataset hubspot_): Job{job=JobId{project=mansagroup-datascience, job=67583009-7cf8-4b25-b54e-7d95955b2a83, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649826044642, endTime=null, startTime=1649826044721, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=qKxGaHNoHT9w5hAEbegerw==, generatedId=mansagroup-datascience:europe-west4.67583009-7cf8-4b25-b54e-7d95955b2a83, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/67583009-7cf8-4b25-b54e-7d95955b2a83?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_pmq_engagements_notes}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_notes/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} 2022-04-13 05:00:44 destination > 2022-04-13 05:00:44 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):319 - Waiting for job finish Job{job=JobId{project=mansagroup-datascience, job=67583009-7cf8-4b25-b54e-7d95955b2a83, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649826044642, endTime=null, startTime=1649826044721, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=qKxGaHNoHT9w5hAEbegerw==, generatedId=mansagroup-datascience:europe-west4.67583009-7cf8-4b25-b54e-7d95955b2a83, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/67583009-7cf8-4b25-b54e-7d95955b2a83?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_pmq_engagements_notes}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_notes/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}}. Status: JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 05:00:44 destination > 2022-04-13 05:00:44 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):135 - [JobId{project=mansagroup-datascience, job=baf92b32-19fa-4dd2-9fd0-aaf1ea4aaf51, location=europe-west4}] Created a new job to upload records to tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_pmq_engagements_notes}} (dataset hubspot_): Job{job=JobId{project=mansagroup-datascience, job=baf92b32-19fa-4dd2-9fd0-aaf1ea4aaf51, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649826044678, endTime=null, startTime=1649826044756, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=NFSaJULp6/qy/h7mwbf7HA==, generatedId=mansagroup-datascience:europe-west4.baf92b32-19fa-4dd2-9fd0-aaf1ea4aaf51, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/baf92b32-19fa-4dd2-9fd0-aaf1ea4aaf51?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_pmq_engagements_notes}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_notes/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} 2022-04-13 05:00:44 destination > 2022-04-13 05:00:44 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):319 - Waiting for job finish Job{job=JobId{project=mansagroup-datascience, job=baf92b32-19fa-4dd2-9fd0-aaf1ea4aaf51, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649826044678, endTime=null, startTime=1649826044756, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=NFSaJULp6/qy/h7mwbf7HA==, generatedId=mansagroup-datascience:europe-west4.baf92b32-19fa-4dd2-9fd0-aaf1ea4aaf51, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/baf92b32-19fa-4dd2-9fd0-aaf1ea4aaf51?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_pmq_engagements_notes}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_notes/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}}. Status: JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 05:00:51 destination > 2022-04-13 05:00:51 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):321 - Job finish Job{job=JobId{project=mansagroup-datascience, job=baf92b32-19fa-4dd2-9fd0-aaf1ea4aaf51, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649826044678, endTime=null, startTime=1649826044756, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=NFSaJULp6/qy/h7mwbf7HA==, generatedId=mansagroup-datascience:europe-west4.baf92b32-19fa-4dd2-9fd0-aaf1ea4aaf51, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/baf92b32-19fa-4dd2-9fd0-aaf1ea4aaf51?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_pmq_engagements_notes}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_notes/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} with status JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 05:00:51 destination > 2022-04-13 05:00:51 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):139 - [JobId{project=mansagroup-datascience, job=baf92b32-19fa-4dd2-9fd0-aaf1ea4aaf51, location=europe-west4}] Tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_pmq_engagements_notes}} (dataset hubspot_) is successfully appended with staging files 2022-04-13 05:00:52 destination > 2022-04-13 05:00:52 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):321 - Job finish Job{job=JobId{project=mansagroup-datascience, job=67583009-7cf8-4b25-b54e-7d95955b2a83, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649826044642, endTime=null, startTime=1649826044721, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=qKxGaHNoHT9w5hAEbegerw==, generatedId=mansagroup-datascience:europe-west4.67583009-7cf8-4b25-b54e-7d95955b2a83, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/67583009-7cf8-4b25-b54e-7d95955b2a83?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_pmq_engagements_notes}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_notes/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} with status JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 05:00:52 destination > 2022-04-13 05:00:52 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):139 - [JobId{project=mansagroup-datascience, job=67583009-7cf8-4b25-b54e-7d95955b2a83, location=europe-west4}] Tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_pmq_engagements_notes}} (dataset hubspot_) is successfully appended with staging files 2022-04-13 05:00:52 destination > 2022-04-13 05:00:52 INFO i.a.i.d.b.BigQueryGcsOperations(copyIntoTargetTable):162 - Copying data from tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_pmq_engagements_notes}} to target table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_raw_engagements_notes}} (dataset hubspot_, sync mode append) 2022-04-13 05:00:55 destination > 2022-04-13 05:00:55 INFO i.a.i.d.b.u.AbstractBigQueryUploader(copyTable):185 - successfully copied table: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_pmq_engagements_notes}} to table: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_raw_engagements_notes}} 2022-04-13 05:00:55 destination > 2022-04-13 05:00:55 INFO i.a.i.d.b.BigQueryGcsOperations(copyIntoTmpTableFromStage):122 - Uploading records from staging files to tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_qtn_quotes}} (dataset hubspot_): [] 2022-04-13 05:00:55 destination > 2022-04-13 05:00:55 INFO i.a.i.d.b.BigQueryGcsOperations(copyIntoTargetTable):162 - Copying data from tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_qtn_quotes}} to target table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_raw_quotes}} (dataset hubspot_, sync mode append) 2022-04-13 05:00:58 destination > 2022-04-13 05:00:58 INFO i.a.i.d.b.u.AbstractBigQueryUploader(copyTable):185 - successfully copied table: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_qtn_quotes}} to table: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_raw_quotes}} 2022-04-13 05:00:58 destination > 2022-04-13 05:00:58 INFO i.a.i.d.b.BigQueryGcsOperations(copyIntoTmpTableFromStage):122 - Uploading records from staging files to tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_oxx_companies}} (dataset hubspot_): [1.avro] 2022-04-13 05:00:58 destination > 2022-04-13 05:00:58 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):126 - Uploading staged file: gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__companies/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro 2022-04-13 05:00:58 destination > 2022-04-13 05:00:58 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):135 - [JobId{project=mansagroup-datascience, job=7a5bb3b2-42fd-4b3b-ad9a-74c8955af226, location=europe-west4}] Created a new job to upload records to tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_oxx_companies}} (dataset hubspot_): Job{job=JobId{project=mansagroup-datascience, job=7a5bb3b2-42fd-4b3b-ad9a-74c8955af226, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649826058149, endTime=null, startTime=1649826058218, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=KdQsz1kQLKFS012oRJmu7A==, generatedId=mansagroup-datascience:europe-west4.7a5bb3b2-42fd-4b3b-ad9a-74c8955af226, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/7a5bb3b2-42fd-4b3b-ad9a-74c8955af226?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_oxx_companies}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__companies/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} 2022-04-13 05:00:58 destination > 2022-04-13 05:00:58 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):319 - Waiting for job finish Job{job=JobId{project=mansagroup-datascience, job=7a5bb3b2-42fd-4b3b-ad9a-74c8955af226, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649826058149, endTime=null, startTime=1649826058218, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=KdQsz1kQLKFS012oRJmu7A==, generatedId=mansagroup-datascience:europe-west4.7a5bb3b2-42fd-4b3b-ad9a-74c8955af226, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/7a5bb3b2-42fd-4b3b-ad9a-74c8955af226?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_oxx_companies}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__companies/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}}. Status: JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 05:01:04 destination > 2022-04-13 05:01:04 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):321 - Job finish Job{job=JobId{project=mansagroup-datascience, job=7a5bb3b2-42fd-4b3b-ad9a-74c8955af226, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649826058149, endTime=null, startTime=1649826058218, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=KdQsz1kQLKFS012oRJmu7A==, generatedId=mansagroup-datascience:europe-west4.7a5bb3b2-42fd-4b3b-ad9a-74c8955af226, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/7a5bb3b2-42fd-4b3b-ad9a-74c8955af226?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_oxx_companies}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__companies/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} with status JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 05:01:04 destination > 2022-04-13 05:01:04 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):139 - [JobId{project=mansagroup-datascience, job=7a5bb3b2-42fd-4b3b-ad9a-74c8955af226, location=europe-west4}] Tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_oxx_companies}} (dataset hubspot_) is successfully appended with staging files 2022-04-13 05:01:04 destination > 2022-04-13 05:01:04 INFO i.a.i.d.b.BigQueryGcsOperations(copyIntoTargetTable):162 - Copying data from tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_oxx_companies}} to target table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_raw_companies}} (dataset hubspot_, sync mode append) 2022-04-13 05:01:08 destination > 2022-04-13 05:01:08 INFO i.a.i.d.b.u.AbstractBigQueryUploader(copyTable):185 - successfully copied table: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_oxx_companies}} to table: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_raw_companies}} 2022-04-13 05:01:08 destination > 2022-04-13 05:01:08 INFO i.a.i.d.b.BigQueryGcsOperations(copyIntoTmpTableFromStage):122 - Uploading records from staging files to tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_zpp_forms}} (dataset hubspot_): [1.avro] 2022-04-13 05:01:08 destination > 2022-04-13 05:01:08 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):126 - Uploading staged file: gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__forms/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro 2022-04-13 05:01:09 destination > 2022-04-13 05:01:09 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):135 - [JobId{project=mansagroup-datascience, job=dd74efc6-22d3-4452-a8df-5494a79fae08, location=europe-west4}] Created a new job to upload records to tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_zpp_forms}} (dataset hubspot_): Job{job=JobId{project=mansagroup-datascience, job=dd74efc6-22d3-4452-a8df-5494a79fae08, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649826068923, endTime=null, startTime=1649826069038, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=sCCwOhLUGM2hao6MsesCYQ==, generatedId=mansagroup-datascience:europe-west4.dd74efc6-22d3-4452-a8df-5494a79fae08, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/dd74efc6-22d3-4452-a8df-5494a79fae08?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_zpp_forms}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__forms/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} 2022-04-13 05:01:09 destination > 2022-04-13 05:01:09 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):319 - Waiting for job finish Job{job=JobId{project=mansagroup-datascience, job=dd74efc6-22d3-4452-a8df-5494a79fae08, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649826068923, endTime=null, startTime=1649826069038, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=sCCwOhLUGM2hao6MsesCYQ==, generatedId=mansagroup-datascience:europe-west4.dd74efc6-22d3-4452-a8df-5494a79fae08, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/dd74efc6-22d3-4452-a8df-5494a79fae08?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_zpp_forms}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__forms/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}}. Status: JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 05:01:11 destination > 2022-04-13 05:01:11 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):321 - Job finish Job{job=JobId{project=mansagroup-datascience, job=dd74efc6-22d3-4452-a8df-5494a79fae08, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649826068923, endTime=null, startTime=1649826069038, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=sCCwOhLUGM2hao6MsesCYQ==, generatedId=mansagroup-datascience:europe-west4.dd74efc6-22d3-4452-a8df-5494a79fae08, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/dd74efc6-22d3-4452-a8df-5494a79fae08?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_zpp_forms}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__forms/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} with status JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 05:01:11 destination > 2022-04-13 05:01:11 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):139 - [JobId{project=mansagroup-datascience, job=dd74efc6-22d3-4452-a8df-5494a79fae08, location=europe-west4}] Tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_zpp_forms}} (dataset hubspot_) is successfully appended with staging files 2022-04-13 05:01:11 destination > 2022-04-13 05:01:11 INFO i.a.i.d.b.BigQueryGcsOperations(copyIntoTargetTable):162 - Copying data from tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_zpp_forms}} to target table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_raw_forms}} (dataset hubspot_, sync mode overwrite) 2022-04-13 05:01:13 destination > 2022-04-13 05:01:13 INFO i.a.i.d.b.u.AbstractBigQueryUploader(copyTable):185 - successfully copied table: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_zpp_forms}} to table: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_raw_forms}} 2022-04-13 05:01:13 destination > 2022-04-13 05:01:13 INFO i.a.i.d.b.BigQueryGcsOperations(copyIntoTmpTableFromStage):122 - Uploading records from staging files to tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_mrl_owners}} (dataset hubspot_): [1.avro] 2022-04-13 05:01:13 destination > 2022-04-13 05:01:13 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):126 - Uploading staged file: gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__owners/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro 2022-04-13 05:01:13 destination > 2022-04-13 05:01:13 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):135 - [JobId{project=mansagroup-datascience, job=fc3e0113-ddb7-411a-bf3b-eb6adf78358b, location=europe-west4}] Created a new job to upload records to tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_mrl_owners}} (dataset hubspot_): Job{job=JobId{project=mansagroup-datascience, job=fc3e0113-ddb7-411a-bf3b-eb6adf78358b, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649826073098, endTime=null, startTime=1649826073183, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=3DRugLh6dgu4quTPoAOZIA==, generatedId=mansagroup-datascience:europe-west4.fc3e0113-ddb7-411a-bf3b-eb6adf78358b, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/fc3e0113-ddb7-411a-bf3b-eb6adf78358b?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_mrl_owners}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__owners/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} 2022-04-13 05:01:13 destination > 2022-04-13 05:01:13 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):319 - Waiting for job finish Job{job=JobId{project=mansagroup-datascience, job=fc3e0113-ddb7-411a-bf3b-eb6adf78358b, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649826073098, endTime=null, startTime=1649826073183, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=3DRugLh6dgu4quTPoAOZIA==, generatedId=mansagroup-datascience:europe-west4.fc3e0113-ddb7-411a-bf3b-eb6adf78358b, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/fc3e0113-ddb7-411a-bf3b-eb6adf78358b?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_mrl_owners}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__owners/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}}. Status: JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 05:01:14 destination > 2022-04-13 05:01:14 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):321 - Job finish Job{job=JobId{project=mansagroup-datascience, job=fc3e0113-ddb7-411a-bf3b-eb6adf78358b, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649826073098, endTime=null, startTime=1649826073183, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=3DRugLh6dgu4quTPoAOZIA==, generatedId=mansagroup-datascience:europe-west4.fc3e0113-ddb7-411a-bf3b-eb6adf78358b, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/fc3e0113-ddb7-411a-bf3b-eb6adf78358b?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_mrl_owners}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__owners/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} with status JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 05:01:14 destination > 2022-04-13 05:01:14 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):139 - [JobId{project=mansagroup-datascience, job=fc3e0113-ddb7-411a-bf3b-eb6adf78358b, location=europe-west4}] Tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_mrl_owners}} (dataset hubspot_) is successfully appended with staging files 2022-04-13 05:01:14 destination > 2022-04-13 05:01:14 INFO i.a.i.d.b.BigQueryGcsOperations(copyIntoTargetTable):162 - Copying data from tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_mrl_owners}} to target table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_raw_owners}} (dataset hubspot_, sync mode overwrite) 2022-04-13 05:01:17 destination > 2022-04-13 05:01:17 INFO i.a.i.d.b.u.AbstractBigQueryUploader(copyTable):185 - successfully copied table: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_mrl_owners}} to table: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_raw_owners}} 2022-04-13 05:01:17 destination > 2022-04-13 05:01:17 INFO i.a.i.d.b.BigQueryGcsOperations(copyIntoTmpTableFromStage):122 - Uploading records from staging files to tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_ejs_property_history}} (dataset hubspot_): [] 2022-04-13 05:01:17 destination > 2022-04-13 05:01:17 INFO i.a.i.d.b.BigQueryGcsOperations(copyIntoTargetTable):162 - Copying data from tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_ejs_property_history}} to target table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_raw_property_history}} (dataset hubspot_, sync mode append) 2022-04-13 05:01:18 destination > 2022-04-13 05:01:18 INFO i.a.i.d.b.u.AbstractBigQueryUploader(copyTable):185 - successfully copied table: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_ejs_property_history}} to table: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_raw_property_history}} 2022-04-13 05:01:18 destination > 2022-04-13 05:01:18 INFO i.a.i.d.b.BigQueryGcsOperations(copyIntoTmpTableFromStage):122 - Uploading records from staging files to tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_uyu_tickets}} (dataset hubspot_): [1.avro] 2022-04-13 05:01:18 destination > 2022-04-13 05:01:18 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):126 - Uploading staged file: gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__tickets/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro 2022-04-13 05:01:18 destination > 2022-04-13 05:01:18 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):135 - [JobId{project=mansagroup-datascience, job=98151df3-32cf-48f6-b4ec-73a963fe9963, location=europe-west4}] Created a new job to upload records to tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_uyu_tickets}} (dataset hubspot_): Job{job=JobId{project=mansagroup-datascience, job=98151df3-32cf-48f6-b4ec-73a963fe9963, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649826078691, endTime=null, startTime=1649826078775, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=ZvBcWz41qtH+1E8IWaBnTg==, generatedId=mansagroup-datascience:europe-west4.98151df3-32cf-48f6-b4ec-73a963fe9963, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/98151df3-32cf-48f6-b4ec-73a963fe9963?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_uyu_tickets}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__tickets/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} 2022-04-13 05:01:18 destination > 2022-04-13 05:01:18 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):319 - Waiting for job finish Job{job=JobId{project=mansagroup-datascience, job=98151df3-32cf-48f6-b4ec-73a963fe9963, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649826078691, endTime=null, startTime=1649826078775, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=ZvBcWz41qtH+1E8IWaBnTg==, generatedId=mansagroup-datascience:europe-west4.98151df3-32cf-48f6-b4ec-73a963fe9963, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/98151df3-32cf-48f6-b4ec-73a963fe9963?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_uyu_tickets}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__tickets/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}}. Status: JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 05:01:21 destination > 2022-04-13 05:01:21 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):321 - Job finish Job{job=JobId{project=mansagroup-datascience, job=98151df3-32cf-48f6-b4ec-73a963fe9963, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649826078691, endTime=null, startTime=1649826078775, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=ZvBcWz41qtH+1E8IWaBnTg==, generatedId=mansagroup-datascience:europe-west4.98151df3-32cf-48f6-b4ec-73a963fe9963, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/98151df3-32cf-48f6-b4ec-73a963fe9963?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_uyu_tickets}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__tickets/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} with status JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 05:01:21 destination > 2022-04-13 05:01:21 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):139 - [JobId{project=mansagroup-datascience, job=98151df3-32cf-48f6-b4ec-73a963fe9963, location=europe-west4}] Tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_uyu_tickets}} (dataset hubspot_) is successfully appended with staging files 2022-04-13 05:01:21 destination > 2022-04-13 05:01:21 INFO i.a.i.d.b.BigQueryGcsOperations(copyIntoTargetTable):162 - Copying data from tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_uyu_tickets}} to target table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_raw_tickets}} (dataset hubspot_, sync mode append) 2022-04-13 05:01:24 destination > 2022-04-13 05:01:24 INFO i.a.i.d.b.u.AbstractBigQueryUploader(copyTable):185 - successfully copied table: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_uyu_tickets}} to table: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_raw_tickets}} 2022-04-13 05:01:24 destination > 2022-04-13 05:01:24 INFO i.a.i.d.b.BigQueryGcsOperations(copyIntoTmpTableFromStage):122 - Uploading records from staging files to tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_iyt_deals}} (dataset hubspot_): [1.avro, 2.avro, 3.avro, 4.avro] 2022-04-13 05:01:24 destination > 2022-04-13 05:01:24 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):126 - Uploading staged file: gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro 2022-04-13 05:01:24 destination > 2022-04-13 05:01:24 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):126 - Uploading staged file: gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro 2022-04-13 05:01:24 destination > 2022-04-13 05:01:24 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):135 - [JobId{project=mansagroup-datascience, job=fa9bdb5e-e737-4c27-896f-6336cc6111b2, location=europe-west4}] Created a new job to upload records to tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_iyt_deals}} (dataset hubspot_): Job{job=JobId{project=mansagroup-datascience, job=fa9bdb5e-e737-4c27-896f-6336cc6111b2, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649826084139, endTime=null, startTime=1649826084205, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=D/nTl8RhlPX+L7pTr/7Dgw==, generatedId=mansagroup-datascience:europe-west4.fa9bdb5e-e737-4c27-896f-6336cc6111b2, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/fa9bdb5e-e737-4c27-896f-6336cc6111b2?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_iyt_deals}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} 2022-04-13 05:01:24 destination > 2022-04-13 05:01:24 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):319 - Waiting for job finish Job{job=JobId{project=mansagroup-datascience, job=fa9bdb5e-e737-4c27-896f-6336cc6111b2, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649826084139, endTime=null, startTime=1649826084205, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=D/nTl8RhlPX+L7pTr/7Dgw==, generatedId=mansagroup-datascience:europe-west4.fa9bdb5e-e737-4c27-896f-6336cc6111b2, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/fa9bdb5e-e737-4c27-896f-6336cc6111b2?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_iyt_deals}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}}. Status: JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 05:01:24 destination > 2022-04-13 05:01:24 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):135 - [JobId{project=mansagroup-datascience, job=135fad0a-5c3a-4835-b048-e96bee5f6d34, location=europe-west4}] Created a new job to upload records to tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_iyt_deals}} (dataset hubspot_): Job{job=JobId{project=mansagroup-datascience, job=135fad0a-5c3a-4835-b048-e96bee5f6d34, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649826084171, endTime=null, startTime=1649826084243, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=M6+ouufR+GWhocdGWDN4IQ==, generatedId=mansagroup-datascience:europe-west4.135fad0a-5c3a-4835-b048-e96bee5f6d34, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/135fad0a-5c3a-4835-b048-e96bee5f6d34?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_iyt_deals}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} 2022-04-13 05:01:24 destination > 2022-04-13 05:01:24 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):319 - Waiting for job finish Job{job=JobId{project=mansagroup-datascience, job=135fad0a-5c3a-4835-b048-e96bee5f6d34, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649826084171, endTime=null, startTime=1649826084243, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=M6+ouufR+GWhocdGWDN4IQ==, generatedId=mansagroup-datascience:europe-west4.135fad0a-5c3a-4835-b048-e96bee5f6d34, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/135fad0a-5c3a-4835-b048-e96bee5f6d34?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_iyt_deals}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}}. Status: JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 05:01:31 destination > 2022-04-13 05:01:31 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):321 - Job finish Job{job=JobId{project=mansagroup-datascience, job=fa9bdb5e-e737-4c27-896f-6336cc6111b2, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649826084139, endTime=null, startTime=1649826084205, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=D/nTl8RhlPX+L7pTr/7Dgw==, generatedId=mansagroup-datascience:europe-west4.fa9bdb5e-e737-4c27-896f-6336cc6111b2, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/fa9bdb5e-e737-4c27-896f-6336cc6111b2?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_iyt_deals}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} with status JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 05:01:31 destination > 2022-04-13 05:01:31 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):139 - [JobId{project=mansagroup-datascience, job=fa9bdb5e-e737-4c27-896f-6336cc6111b2, location=europe-west4}] Tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_iyt_deals}} (dataset hubspot_) is successfully appended with staging files 2022-04-13 05:01:31 destination > 2022-04-13 05:01:31 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):126 - Uploading staged file: gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro 2022-04-13 05:01:31 destination > 2022-04-13 05:01:31 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):135 - [JobId{project=mansagroup-datascience, job=839bcb06-0df6-472d-ae3f-4b61605704d5, location=europe-west4}] Created a new job to upload records to tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_iyt_deals}} (dataset hubspot_): Job{job=JobId{project=mansagroup-datascience, job=839bcb06-0df6-472d-ae3f-4b61605704d5, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649826091052, endTime=null, startTime=1649826091122, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=y+lohZtxXReeJU93dvuG2w==, generatedId=mansagroup-datascience:europe-west4.839bcb06-0df6-472d-ae3f-4b61605704d5, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/839bcb06-0df6-472d-ae3f-4b61605704d5?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_iyt_deals}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} 2022-04-13 05:01:31 destination > 2022-04-13 05:01:31 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):319 - Waiting for job finish Job{job=JobId{project=mansagroup-datascience, job=839bcb06-0df6-472d-ae3f-4b61605704d5, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649826091052, endTime=null, startTime=1649826091122, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=y+lohZtxXReeJU93dvuG2w==, generatedId=mansagroup-datascience:europe-west4.839bcb06-0df6-472d-ae3f-4b61605704d5, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/839bcb06-0df6-472d-ae3f-4b61605704d5?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_iyt_deals}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}}. Status: JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 05:01:31 destination > 2022-04-13 05:01:31 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):321 - Job finish Job{job=JobId{project=mansagroup-datascience, job=135fad0a-5c3a-4835-b048-e96bee5f6d34, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649826084171, endTime=null, startTime=1649826084243, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=M6+ouufR+GWhocdGWDN4IQ==, generatedId=mansagroup-datascience:europe-west4.135fad0a-5c3a-4835-b048-e96bee5f6d34, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/135fad0a-5c3a-4835-b048-e96bee5f6d34?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_iyt_deals}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} with status JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 05:01:31 destination > 2022-04-13 05:01:31 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):139 - [JobId{project=mansagroup-datascience, job=135fad0a-5c3a-4835-b048-e96bee5f6d34, location=europe-west4}] Tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_iyt_deals}} (dataset hubspot_) is successfully appended with staging files 2022-04-13 05:01:31 destination > 2022-04-13 05:01:31 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):126 - Uploading staged file: gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro 2022-04-13 05:01:31 destination > 2022-04-13 05:01:31 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):135 - [JobId{project=mansagroup-datascience, job=ce85cb7b-1989-410f-82e3-bd260d4560d4, location=europe-west4}] Created a new job to upload records to tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_iyt_deals}} (dataset hubspot_): Job{job=JobId{project=mansagroup-datascience, job=ce85cb7b-1989-410f-82e3-bd260d4560d4, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649826091724, endTime=null, startTime=1649826091806, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=HMBFfjblVcgOXryixZZeOw==, generatedId=mansagroup-datascience:europe-west4.ce85cb7b-1989-410f-82e3-bd260d4560d4, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/ce85cb7b-1989-410f-82e3-bd260d4560d4?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_iyt_deals}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} 2022-04-13 05:01:31 destination > 2022-04-13 05:01:31 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):319 - Waiting for job finish Job{job=JobId{project=mansagroup-datascience, job=ce85cb7b-1989-410f-82e3-bd260d4560d4, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649826091724, endTime=null, startTime=1649826091806, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=HMBFfjblVcgOXryixZZeOw==, generatedId=mansagroup-datascience:europe-west4.ce85cb7b-1989-410f-82e3-bd260d4560d4, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/ce85cb7b-1989-410f-82e3-bd260d4560d4?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_iyt_deals}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}}. Status: JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 05:01:38 destination > 2022-04-13 05:01:38 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):321 - Job finish Job{job=JobId{project=mansagroup-datascience, job=839bcb06-0df6-472d-ae3f-4b61605704d5, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649826091052, endTime=null, startTime=1649826091122, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=y+lohZtxXReeJU93dvuG2w==, generatedId=mansagroup-datascience:europe-west4.839bcb06-0df6-472d-ae3f-4b61605704d5, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/839bcb06-0df6-472d-ae3f-4b61605704d5?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_iyt_deals}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} with status JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 05:01:38 destination > 2022-04-13 05:01:38 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):139 - [JobId{project=mansagroup-datascience, job=839bcb06-0df6-472d-ae3f-4b61605704d5, location=europe-west4}] Tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_iyt_deals}} (dataset hubspot_) is successfully appended with staging files 2022-04-13 05:01:39 destination > 2022-04-13 05:01:39 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):321 - Job finish Job{job=JobId{project=mansagroup-datascience, job=ce85cb7b-1989-410f-82e3-bd260d4560d4, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649826091724, endTime=null, startTime=1649826091806, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=HMBFfjblVcgOXryixZZeOw==, generatedId=mansagroup-datascience:europe-west4.ce85cb7b-1989-410f-82e3-bd260d4560d4, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/ce85cb7b-1989-410f-82e3-bd260d4560d4?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_iyt_deals}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} with status JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 05:01:39 destination > 2022-04-13 05:01:39 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):139 - [JobId{project=mansagroup-datascience, job=ce85cb7b-1989-410f-82e3-bd260d4560d4, location=europe-west4}] Tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_iyt_deals}} (dataset hubspot_) is successfully appended with staging files 2022-04-13 05:01:39 destination > 2022-04-13 05:01:39 INFO i.a.i.d.b.BigQueryGcsOperations(copyIntoTargetTable):162 - Copying data from tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_iyt_deals}} to target table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_raw_deals}} (dataset hubspot_, sync mode append) 2022-04-13 05:01:41 destination > 2022-04-13 05:01:41 INFO i.a.i.d.b.u.AbstractBigQueryUploader(copyTable):185 - successfully copied table: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_iyt_deals}} to table: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_raw_deals}} 2022-04-13 05:01:41 destination > 2022-04-13 05:01:41 INFO i.a.i.d.b.BigQueryGcsOperations(copyIntoTmpTableFromStage):122 - Uploading records from staging files to tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_vff_engagements_emails}} (dataset hubspot_): [1.avro, 2.avro, 3.avro, 4.avro, 5.avro, 6.avro, 7.avro, 8.avro, 9.avro, 10.avro] 2022-04-13 05:01:41 destination > 2022-04-13 05:01:41 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):126 - Uploading staged file: gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro 2022-04-13 05:01:41 destination > 2022-04-13 05:01:41 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):126 - Uploading staged file: gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro 2022-04-13 05:01:41 destination > 2022-04-13 05:01:41 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):135 - [JobId{project=mansagroup-datascience, job=fa3e1214-1ca7-416d-9b6d-51e2c402ae38, location=europe-west4}] Created a new job to upload records to tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_vff_engagements_emails}} (dataset hubspot_): Job{job=JobId{project=mansagroup-datascience, job=fa3e1214-1ca7-416d-9b6d-51e2c402ae38, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649826101745, endTime=null, startTime=1649826101824, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=8ZlMLcvj9pMj245VqD9xWg==, generatedId=mansagroup-datascience:europe-west4.fa3e1214-1ca7-416d-9b6d-51e2c402ae38, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/fa3e1214-1ca7-416d-9b6d-51e2c402ae38?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_vff_engagements_emails}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} 2022-04-13 05:01:41 destination > 2022-04-13 05:01:41 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):319 - Waiting for job finish Job{job=JobId{project=mansagroup-datascience, job=fa3e1214-1ca7-416d-9b6d-51e2c402ae38, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649826101745, endTime=null, startTime=1649826101824, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=8ZlMLcvj9pMj245VqD9xWg==, generatedId=mansagroup-datascience:europe-west4.fa3e1214-1ca7-416d-9b6d-51e2c402ae38, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/fa3e1214-1ca7-416d-9b6d-51e2c402ae38?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_vff_engagements_emails}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}}. Status: JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 05:01:41 destination > 2022-04-13 05:01:41 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):135 - [JobId{project=mansagroup-datascience, job=e94b102f-4ebe-4216-8143-d078fc99be82, location=europe-west4}] Created a new job to upload records to tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_vff_engagements_emails}} (dataset hubspot_): Job{job=JobId{project=mansagroup-datascience, job=e94b102f-4ebe-4216-8143-d078fc99be82, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649826101743, endTime=null, startTime=1649826101831, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=4hFtbjXnyYd87kBFciIl3g==, generatedId=mansagroup-datascience:europe-west4.e94b102f-4ebe-4216-8143-d078fc99be82, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/e94b102f-4ebe-4216-8143-d078fc99be82?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_vff_engagements_emails}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} 2022-04-13 05:01:41 destination > 2022-04-13 05:01:41 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):319 - Waiting for job finish Job{job=JobId{project=mansagroup-datascience, job=e94b102f-4ebe-4216-8143-d078fc99be82, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649826101743, endTime=null, startTime=1649826101831, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=4hFtbjXnyYd87kBFciIl3g==, generatedId=mansagroup-datascience:europe-west4.e94b102f-4ebe-4216-8143-d078fc99be82, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/e94b102f-4ebe-4216-8143-d078fc99be82?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_vff_engagements_emails}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}}. Status: JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 05:01:49 destination > 2022-04-13 05:01:49 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):321 - Job finish Job{job=JobId{project=mansagroup-datascience, job=e94b102f-4ebe-4216-8143-d078fc99be82, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649826101743, endTime=null, startTime=1649826101831, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=4hFtbjXnyYd87kBFciIl3g==, generatedId=mansagroup-datascience:europe-west4.e94b102f-4ebe-4216-8143-d078fc99be82, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/e94b102f-4ebe-4216-8143-d078fc99be82?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_vff_engagements_emails}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} with status JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 05:01:49 destination > 2022-04-13 05:01:49 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):139 - [JobId{project=mansagroup-datascience, job=e94b102f-4ebe-4216-8143-d078fc99be82, location=europe-west4}] Tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_vff_engagements_emails}} (dataset hubspot_) is successfully appended with staging files 2022-04-13 05:01:49 destination > 2022-04-13 05:01:49 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):126 - Uploading staged file: gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/7.avro 2022-04-13 05:01:49 destination > 2022-04-13 05:01:49 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):135 - [JobId{project=mansagroup-datascience, job=08904e61-b657-4343-a7fb-569e78750662, location=europe-west4}] Created a new job to upload records to tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_vff_engagements_emails}} (dataset hubspot_): Job{job=JobId{project=mansagroup-datascience, job=08904e61-b657-4343-a7fb-569e78750662, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649826109181, endTime=null, startTime=1649826109246, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=+lT6eR+Zn5Tb6t7wn4rgjA==, generatedId=mansagroup-datascience:europe-west4.08904e61-b657-4343-a7fb-569e78750662, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/08904e61-b657-4343-a7fb-569e78750662?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_vff_engagements_emails}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/7.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} 2022-04-13 05:01:49 destination > 2022-04-13 05:01:49 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):319 - Waiting for job finish Job{job=JobId{project=mansagroup-datascience, job=08904e61-b657-4343-a7fb-569e78750662, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649826109181, endTime=null, startTime=1649826109246, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=+lT6eR+Zn5Tb6t7wn4rgjA==, generatedId=mansagroup-datascience:europe-west4.08904e61-b657-4343-a7fb-569e78750662, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/08904e61-b657-4343-a7fb-569e78750662?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_vff_engagements_emails}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/7.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}}. Status: JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 05:01:49 destination > 2022-04-13 05:01:49 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):321 - Job finish Job{job=JobId{project=mansagroup-datascience, job=fa3e1214-1ca7-416d-9b6d-51e2c402ae38, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649826101745, endTime=null, startTime=1649826101824, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=8ZlMLcvj9pMj245VqD9xWg==, generatedId=mansagroup-datascience:europe-west4.fa3e1214-1ca7-416d-9b6d-51e2c402ae38, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/fa3e1214-1ca7-416d-9b6d-51e2c402ae38?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_vff_engagements_emails}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} with status JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 05:01:49 destination > 2022-04-13 05:01:49 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):139 - [JobId{project=mansagroup-datascience, job=fa3e1214-1ca7-416d-9b6d-51e2c402ae38, location=europe-west4}] Tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_vff_engagements_emails}} (dataset hubspot_) is successfully appended with staging files 2022-04-13 05:01:49 destination > 2022-04-13 05:01:49 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):126 - Uploading staged file: gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro 2022-04-13 05:01:49 destination > 2022-04-13 05:01:49 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):135 - [JobId{project=mansagroup-datascience, job=7db3f553-4c48-4089-a28e-c57c60f16ddc, location=europe-west4}] Created a new job to upload records to tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_vff_engagements_emails}} (dataset hubspot_): Job{job=JobId{project=mansagroup-datascience, job=7db3f553-4c48-4089-a28e-c57c60f16ddc, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649826109647, endTime=null, startTime=1649826109714, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=VtNkYKctNill7fj6Rk0aIA==, generatedId=mansagroup-datascience:europe-west4.7db3f553-4c48-4089-a28e-c57c60f16ddc, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/7db3f553-4c48-4089-a28e-c57c60f16ddc?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_vff_engagements_emails}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} 2022-04-13 05:01:49 destination > 2022-04-13 05:01:49 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):319 - Waiting for job finish Job{job=JobId{project=mansagroup-datascience, job=7db3f553-4c48-4089-a28e-c57c60f16ddc, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649826109647, endTime=null, startTime=1649826109714, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=VtNkYKctNill7fj6Rk0aIA==, generatedId=mansagroup-datascience:europe-west4.7db3f553-4c48-4089-a28e-c57c60f16ddc, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/7db3f553-4c48-4089-a28e-c57c60f16ddc?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_vff_engagements_emails}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}}. Status: JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 05:01:56 destination > 2022-04-13 05:01:56 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):321 - Job finish Job{job=JobId{project=mansagroup-datascience, job=08904e61-b657-4343-a7fb-569e78750662, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649826109181, endTime=null, startTime=1649826109246, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=+lT6eR+Zn5Tb6t7wn4rgjA==, generatedId=mansagroup-datascience:europe-west4.08904e61-b657-4343-a7fb-569e78750662, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/08904e61-b657-4343-a7fb-569e78750662?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_vff_engagements_emails}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/7.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} with status JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 05:01:56 destination > 2022-04-13 05:01:56 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):139 - [JobId{project=mansagroup-datascience, job=08904e61-b657-4343-a7fb-569e78750662, location=europe-west4}] Tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_vff_engagements_emails}} (dataset hubspot_) is successfully appended with staging files 2022-04-13 05:01:56 destination > 2022-04-13 05:01:56 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):126 - Uploading staged file: gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/9.avro 2022-04-13 05:01:57 destination > 2022-04-13 05:01:57 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):135 - [JobId{project=mansagroup-datascience, job=fca6fd42-2a38-4266-805a-f69677b6beeb, location=europe-west4}] Created a new job to upload records to tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_vff_engagements_emails}} (dataset hubspot_): Job{job=JobId{project=mansagroup-datascience, job=fca6fd42-2a38-4266-805a-f69677b6beeb, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649826116917, endTime=null, startTime=1649826116982, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=sNArrDRxXLJ/RI3VDJfvHQ==, generatedId=mansagroup-datascience:europe-west4.fca6fd42-2a38-4266-805a-f69677b6beeb, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/fca6fd42-2a38-4266-805a-f69677b6beeb?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_vff_engagements_emails}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/9.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} 2022-04-13 05:01:57 destination > 2022-04-13 05:01:57 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):319 - Waiting for job finish Job{job=JobId{project=mansagroup-datascience, job=fca6fd42-2a38-4266-805a-f69677b6beeb, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649826116917, endTime=null, startTime=1649826116982, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=sNArrDRxXLJ/RI3VDJfvHQ==, generatedId=mansagroup-datascience:europe-west4.fca6fd42-2a38-4266-805a-f69677b6beeb, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/fca6fd42-2a38-4266-805a-f69677b6beeb?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_vff_engagements_emails}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/9.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}}. Status: JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 05:01:57 destination > 2022-04-13 05:01:57 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):321 - Job finish Job{job=JobId{project=mansagroup-datascience, job=7db3f553-4c48-4089-a28e-c57c60f16ddc, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649826109647, endTime=null, startTime=1649826109714, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=VtNkYKctNill7fj6Rk0aIA==, generatedId=mansagroup-datascience:europe-west4.7db3f553-4c48-4089-a28e-c57c60f16ddc, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/7db3f553-4c48-4089-a28e-c57c60f16ddc?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_vff_engagements_emails}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} with status JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 05:01:57 destination > 2022-04-13 05:01:57 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):139 - [JobId{project=mansagroup-datascience, job=7db3f553-4c48-4089-a28e-c57c60f16ddc, location=europe-west4}] Tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_vff_engagements_emails}} (dataset hubspot_) is successfully appended with staging files 2022-04-13 05:01:57 destination > 2022-04-13 05:01:57 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):126 - Uploading staged file: gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro 2022-04-13 05:01:57 destination > 2022-04-13 05:01:57 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):135 - [JobId{project=mansagroup-datascience, job=c0ac7311-db6c-4467-9fd4-0f59d49a20fa, location=europe-west4}] Created a new job to upload records to tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_vff_engagements_emails}} (dataset hubspot_): Job{job=JobId{project=mansagroup-datascience, job=c0ac7311-db6c-4467-9fd4-0f59d49a20fa, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649826117181, endTime=null, startTime=1649826117249, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=OuqpbJpPpE1N9iFZosw7pw==, generatedId=mansagroup-datascience:europe-west4.c0ac7311-db6c-4467-9fd4-0f59d49a20fa, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/c0ac7311-db6c-4467-9fd4-0f59d49a20fa?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_vff_engagements_emails}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} 2022-04-13 05:01:57 destination > 2022-04-13 05:01:57 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):319 - Waiting for job finish Job{job=JobId{project=mansagroup-datascience, job=c0ac7311-db6c-4467-9fd4-0f59d49a20fa, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649826117181, endTime=null, startTime=1649826117249, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=OuqpbJpPpE1N9iFZosw7pw==, generatedId=mansagroup-datascience:europe-west4.c0ac7311-db6c-4467-9fd4-0f59d49a20fa, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/c0ac7311-db6c-4467-9fd4-0f59d49a20fa?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_vff_engagements_emails}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}}. Status: JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 05:02:05 destination > 2022-04-13 05:02:05 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):321 - Job finish Job{job=JobId{project=mansagroup-datascience, job=fca6fd42-2a38-4266-805a-f69677b6beeb, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649826116917, endTime=null, startTime=1649826116982, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=sNArrDRxXLJ/RI3VDJfvHQ==, generatedId=mansagroup-datascience:europe-west4.fca6fd42-2a38-4266-805a-f69677b6beeb, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/fca6fd42-2a38-4266-805a-f69677b6beeb?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_vff_engagements_emails}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/9.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} with status JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 05:02:05 destination > 2022-04-13 05:02:05 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):139 - [JobId{project=mansagroup-datascience, job=fca6fd42-2a38-4266-805a-f69677b6beeb, location=europe-west4}] Tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_vff_engagements_emails}} (dataset hubspot_) is successfully appended with staging files 2022-04-13 05:02:05 destination > 2022-04-13 05:02:05 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):126 - Uploading staged file: gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/10.avro 2022-04-13 05:02:05 destination > 2022-04-13 05:02:05 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):135 - [JobId{project=mansagroup-datascience, job=df5928b6-2109-4a96-a812-be1fd6f9f2e1, location=europe-west4}] Created a new job to upload records to tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_vff_engagements_emails}} (dataset hubspot_): Job{job=JobId{project=mansagroup-datascience, job=df5928b6-2109-4a96-a812-be1fd6f9f2e1, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649826125123, endTime=null, startTime=1649826125195, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=RnH41D9NzFxNPqlIK1ZTnA==, generatedId=mansagroup-datascience:europe-west4.df5928b6-2109-4a96-a812-be1fd6f9f2e1, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/df5928b6-2109-4a96-a812-be1fd6f9f2e1?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_vff_engagements_emails}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/10.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} 2022-04-13 05:02:05 destination > 2022-04-13 05:02:05 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):319 - Waiting for job finish Job{job=JobId{project=mansagroup-datascience, job=df5928b6-2109-4a96-a812-be1fd6f9f2e1, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649826125123, endTime=null, startTime=1649826125195, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=RnH41D9NzFxNPqlIK1ZTnA==, generatedId=mansagroup-datascience:europe-west4.df5928b6-2109-4a96-a812-be1fd6f9f2e1, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/df5928b6-2109-4a96-a812-be1fd6f9f2e1?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_vff_engagements_emails}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/10.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}}. Status: JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 05:02:06 destination > 2022-04-13 05:02:06 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):321 - Job finish Job{job=JobId{project=mansagroup-datascience, job=c0ac7311-db6c-4467-9fd4-0f59d49a20fa, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649826117181, endTime=null, startTime=1649826117249, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=OuqpbJpPpE1N9iFZosw7pw==, generatedId=mansagroup-datascience:europe-west4.c0ac7311-db6c-4467-9fd4-0f59d49a20fa, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/c0ac7311-db6c-4467-9fd4-0f59d49a20fa?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_vff_engagements_emails}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} with status JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 05:02:06 destination > 2022-04-13 05:02:06 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):139 - [JobId{project=mansagroup-datascience, job=c0ac7311-db6c-4467-9fd4-0f59d49a20fa, location=europe-west4}] Tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_vff_engagements_emails}} (dataset hubspot_) is successfully appended with staging files 2022-04-13 05:02:06 destination > 2022-04-13 05:02:06 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):126 - Uploading staged file: gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro 2022-04-13 05:02:06 destination > 2022-04-13 05:02:06 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):135 - [JobId{project=mansagroup-datascience, job=662c69c9-2098-4137-b1a6-cf5238c5f712, location=europe-west4}] Created a new job to upload records to tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_vff_engagements_emails}} (dataset hubspot_): Job{job=JobId{project=mansagroup-datascience, job=662c69c9-2098-4137-b1a6-cf5238c5f712, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649826126326, endTime=null, startTime=1649826126400, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=SWA0ndg5dSximQU4hNfp6w==, generatedId=mansagroup-datascience:europe-west4.662c69c9-2098-4137-b1a6-cf5238c5f712, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/662c69c9-2098-4137-b1a6-cf5238c5f712?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_vff_engagements_emails}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} 2022-04-13 05:02:06 destination > 2022-04-13 05:02:06 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):319 - Waiting for job finish Job{job=JobId{project=mansagroup-datascience, job=662c69c9-2098-4137-b1a6-cf5238c5f712, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649826126326, endTime=null, startTime=1649826126400, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=SWA0ndg5dSximQU4hNfp6w==, generatedId=mansagroup-datascience:europe-west4.662c69c9-2098-4137-b1a6-cf5238c5f712, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/662c69c9-2098-4137-b1a6-cf5238c5f712?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_vff_engagements_emails}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}}. Status: JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 05:02:11 destination > 2022-04-13 05:02:11 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):321 - Job finish Job{job=JobId{project=mansagroup-datascience, job=df5928b6-2109-4a96-a812-be1fd6f9f2e1, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649826125123, endTime=null, startTime=1649826125195, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=RnH41D9NzFxNPqlIK1ZTnA==, generatedId=mansagroup-datascience:europe-west4.df5928b6-2109-4a96-a812-be1fd6f9f2e1, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/df5928b6-2109-4a96-a812-be1fd6f9f2e1?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_vff_engagements_emails}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/10.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} with status JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 05:02:11 destination > 2022-04-13 05:02:11 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):139 - [JobId{project=mansagroup-datascience, job=df5928b6-2109-4a96-a812-be1fd6f9f2e1, location=europe-west4}] Tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_vff_engagements_emails}} (dataset hubspot_) is successfully appended with staging files 2022-04-13 05:02:11 destination > 2022-04-13 05:02:11 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):126 - Uploading staged file: gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/8.avro 2022-04-13 05:02:11 destination > 2022-04-13 05:02:11 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):135 - [JobId{project=mansagroup-datascience, job=bfd14432-d4fb-42e8-83fb-0c207b055648, location=europe-west4}] Created a new job to upload records to tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_vff_engagements_emails}} (dataset hubspot_): Job{job=JobId{project=mansagroup-datascience, job=bfd14432-d4fb-42e8-83fb-0c207b055648, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649826131860, endTime=null, startTime=1649826131922, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=Qr0s33dmIlnwjChYa3oiZA==, generatedId=mansagroup-datascience:europe-west4.bfd14432-d4fb-42e8-83fb-0c207b055648, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/bfd14432-d4fb-42e8-83fb-0c207b055648?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_vff_engagements_emails}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/8.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} 2022-04-13 05:02:11 destination > 2022-04-13 05:02:11 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):319 - Waiting for job finish Job{job=JobId{project=mansagroup-datascience, job=bfd14432-d4fb-42e8-83fb-0c207b055648, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649826131860, endTime=null, startTime=1649826131922, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=Qr0s33dmIlnwjChYa3oiZA==, generatedId=mansagroup-datascience:europe-west4.bfd14432-d4fb-42e8-83fb-0c207b055648, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/bfd14432-d4fb-42e8-83fb-0c207b055648?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_vff_engagements_emails}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/8.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}}. Status: JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 05:02:17 destination > 2022-04-13 05:02:17 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):321 - Job finish Job{job=JobId{project=mansagroup-datascience, job=662c69c9-2098-4137-b1a6-cf5238c5f712, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649826126326, endTime=null, startTime=1649826126400, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=SWA0ndg5dSximQU4hNfp6w==, generatedId=mansagroup-datascience:europe-west4.662c69c9-2098-4137-b1a6-cf5238c5f712, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/662c69c9-2098-4137-b1a6-cf5238c5f712?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_vff_engagements_emails}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} with status JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 05:02:17 destination > 2022-04-13 05:02:17 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):139 - [JobId{project=mansagroup-datascience, job=662c69c9-2098-4137-b1a6-cf5238c5f712, location=europe-west4}] Tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_vff_engagements_emails}} (dataset hubspot_) is successfully appended with staging files 2022-04-13 05:02:17 destination > 2022-04-13 05:02:17 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):126 - Uploading staged file: gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro 2022-04-13 05:02:17 destination > 2022-04-13 05:02:17 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):135 - [JobId{project=mansagroup-datascience, job=8dd6822e-62ab-40bd-b595-f641d1bb5cb7, location=europe-west4}] Created a new job to upload records to tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_vff_engagements_emails}} (dataset hubspot_): Job{job=JobId{project=mansagroup-datascience, job=8dd6822e-62ab-40bd-b595-f641d1bb5cb7, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649826137583, endTime=null, startTime=1649826137661, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=P6jXJDWytDUJADbXr/5x+A==, generatedId=mansagroup-datascience:europe-west4.8dd6822e-62ab-40bd-b595-f641d1bb5cb7, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/8dd6822e-62ab-40bd-b595-f641d1bb5cb7?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_vff_engagements_emails}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} 2022-04-13 05:02:17 destination > 2022-04-13 05:02:17 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):319 - Waiting for job finish Job{job=JobId{project=mansagroup-datascience, job=8dd6822e-62ab-40bd-b595-f641d1bb5cb7, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649826137583, endTime=null, startTime=1649826137661, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=P6jXJDWytDUJADbXr/5x+A==, generatedId=mansagroup-datascience:europe-west4.8dd6822e-62ab-40bd-b595-f641d1bb5cb7, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/8dd6822e-62ab-40bd-b595-f641d1bb5cb7?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_vff_engagements_emails}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}}. Status: JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 05:02:21 destination > 2022-04-13 05:02:21 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):321 - Job finish Job{job=JobId{project=mansagroup-datascience, job=bfd14432-d4fb-42e8-83fb-0c207b055648, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649826131860, endTime=null, startTime=1649826131922, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=Qr0s33dmIlnwjChYa3oiZA==, generatedId=mansagroup-datascience:europe-west4.bfd14432-d4fb-42e8-83fb-0c207b055648, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/bfd14432-d4fb-42e8-83fb-0c207b055648?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_vff_engagements_emails}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/8.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} with status JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 05:02:21 destination > 2022-04-13 05:02:21 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):139 - [JobId{project=mansagroup-datascience, job=bfd14432-d4fb-42e8-83fb-0c207b055648, location=europe-west4}] Tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_vff_engagements_emails}} (dataset hubspot_) is successfully appended with staging files 2022-04-13 05:02:26 destination > 2022-04-13 05:02:26 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):321 - Job finish Job{job=JobId{project=mansagroup-datascience, job=8dd6822e-62ab-40bd-b595-f641d1bb5cb7, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649826137583, endTime=null, startTime=1649826137661, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=P6jXJDWytDUJADbXr/5x+A==, generatedId=mansagroup-datascience:europe-west4.8dd6822e-62ab-40bd-b595-f641d1bb5cb7, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/8dd6822e-62ab-40bd-b595-f641d1bb5cb7?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_vff_engagements_emails}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} with status JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 05:02:26 destination > 2022-04-13 05:02:26 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):139 - [JobId{project=mansagroup-datascience, job=8dd6822e-62ab-40bd-b595-f641d1bb5cb7, location=europe-west4}] Tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_vff_engagements_emails}} (dataset hubspot_) is successfully appended with staging files 2022-04-13 05:02:26 destination > 2022-04-13 05:02:26 INFO i.a.i.d.b.BigQueryGcsOperations(copyIntoTargetTable):162 - Copying data from tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_vff_engagements_emails}} to target table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_raw_engagements_emails}} (dataset hubspot_, sync mode append) 2022-04-13 05:02:30 destination > 2022-04-13 05:02:30 INFO i.a.i.d.b.u.AbstractBigQueryUploader(copyTable):185 - successfully copied table: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_vff_engagements_emails}} to table: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_raw_engagements_emails}} 2022-04-13 05:02:30 destination > 2022-04-13 05:02:30 INFO i.a.i.d.b.BigQueryGcsOperations(copyIntoTmpTableFromStage):122 - Uploading records from staging files to tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_nbw_deal_pipelines}} (dataset hubspot_): [1.avro] 2022-04-13 05:02:30 destination > 2022-04-13 05:02:30 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):126 - Uploading staged file: gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__deal_pipelines/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro 2022-04-13 05:02:31 destination > 2022-04-13 05:02:31 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):135 - [JobId{project=mansagroup-datascience, job=f8878936-bdc0-4805-aeb7-1f4d6b231096, location=europe-west4}] Created a new job to upload records to tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_nbw_deal_pipelines}} (dataset hubspot_): Job{job=JobId{project=mansagroup-datascience, job=f8878936-bdc0-4805-aeb7-1f4d6b231096, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649826151013, endTime=null, startTime=1649826151080, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=x2D4P+x+WNxsClLCpIvhiw==, generatedId=mansagroup-datascience:europe-west4.f8878936-bdc0-4805-aeb7-1f4d6b231096, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/f8878936-bdc0-4805-aeb7-1f4d6b231096?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_nbw_deal_pipelines}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__deal_pipelines/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} 2022-04-13 05:02:31 destination > 2022-04-13 05:02:31 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):319 - Waiting for job finish Job{job=JobId{project=mansagroup-datascience, job=f8878936-bdc0-4805-aeb7-1f4d6b231096, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649826151013, endTime=null, startTime=1649826151080, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=x2D4P+x+WNxsClLCpIvhiw==, generatedId=mansagroup-datascience:europe-west4.f8878936-bdc0-4805-aeb7-1f4d6b231096, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/f8878936-bdc0-4805-aeb7-1f4d6b231096?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_nbw_deal_pipelines}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__deal_pipelines/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}}. Status: JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 05:02:34 destination > 2022-04-13 05:02:34 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):321 - Job finish Job{job=JobId{project=mansagroup-datascience, job=f8878936-bdc0-4805-aeb7-1f4d6b231096, location=europe-west4}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1649826151013, endTime=null, startTime=1649826151080, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=wl-data-airbyte@mansagroup-datascience.iam.gserviceaccount.com, etag=x2D4P+x+WNxsClLCpIvhiw==, generatedId=mansagroup-datascience:europe-west4.f8878936-bdc0-4805-aeb7-1f4d6b231096, selfLink=https://www.googleapis.com/bigquery/v2/projects/mansagroup-datascience/jobs/f8878936-bdc0-4805-aeb7-1f4d6b231096?location=europe-west4, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, projectId=mansagroup-datascience, tableId=_airbyte_tmp_nbw_deal_pipelines}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=null, writeDisposition=WRITE_APPEND, formatOptions=FormatOptions{format=AVRO}, nullMarker=null, maxBadRecords=null, schema=Schema{fields=[Field{name=_airbyte_ab_id, type=STRING, mode=null, description=null, policyTags=null}, Field{name=_airbyte_emitted_at, type=TIMESTAMP, mode=null, description=null, policyTags=null}, Field{name=_airbyte_data, type=STRING, mode=null, description=null, policyTags=null}]}, ignoreUnknownValue=null, sourceUris=[gs://mansagroup-airbyte-bigquery-buffer/product/hubspot__deal_pipelines/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro], schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=true, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} with status JobStatus{state=RUNNING, error=null, executionErrors=null} 2022-04-13 05:02:34 destination > 2022-04-13 05:02:34 INFO i.a.i.d.b.BigQueryGcsOperations(lambda$copyIntoTmpTableFromStage$0):139 - [JobId{project=mansagroup-datascience, job=f8878936-bdc0-4805-aeb7-1f4d6b231096, location=europe-west4}] Tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_nbw_deal_pipelines}} (dataset hubspot_) is successfully appended with staging files 2022-04-13 05:02:34 destination > 2022-04-13 05:02:34 INFO i.a.i.d.b.BigQueryGcsOperations(copyIntoTargetTable):162 - Copying data from tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_nbw_deal_pipelines}} to target table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_raw_deal_pipelines}} (dataset hubspot_, sync mode overwrite) 2022-04-13 05:02:37 destination > 2022-04-13 05:02:37 INFO i.a.i.d.b.u.AbstractBigQueryUploader(copyTable):185 - successfully copied table: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_nbw_deal_pipelines}} to table: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_raw_deal_pipelines}} 2022-04-13 05:02:37 destination > 2022-04-13 05:02:37 INFO i.a.i.d.b.BigQueryStagingConsumerFactory(lambda$onCloseFunction$5):156 - Finalizing tables in destination completed 2022-04-13 05:02:37 destination > 2022-04-13 05:02:37 INFO i.a.i.d.b.BigQueryStagingConsumerFactory(lambda$onCloseFunction$5):159 - Cleaning up destination started for 26 streams 2022-04-13 05:02:37 destination > 2022-04-13 05:02:37 INFO i.a.i.d.b.BigQueryGcsOperations(dropTableIfExists):172 - Deleting tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_fvj_marketing_emails}} (dataset hubspot_) 2022-04-13 05:02:37 destination > 2022-04-13 05:02:37 INFO i.a.i.d.b.BigQueryGcsOperations(dropStageIfExists):183 - Cleaning up staging path for stream marketing_emails (dataset hubspot_): product/hubspot__marketing_emails 2022-04-13 05:02:37 destination > 2022-04-13 05:02:37 INFO i.a.i.d.g.GcsStorageOperations(cleanUpObjects):41 - Deleting object product/hubspot__marketing_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-13 05:02:37 destination > 2022-04-13 05:02:37 INFO i.a.i.d.g.GcsStorageOperations(cleanUpObjects):41 - Deleting object product/hubspot__marketing_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro 2022-04-13 05:02:37 destination > 2022-04-13 05:02:37 INFO i.a.i.d.s.S3StorageOperations(cleanUpBucketObject):253 - Storage bucket product/hubspot__marketing_emails has been cleaned-up (2 objects were deleted)... 2022-04-13 05:02:37 destination > 2022-04-13 05:02:37 INFO i.a.i.d.b.BigQueryGcsOperations(dropTableIfExists):172 - Deleting tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_hjh_engagements_meetings}} (dataset hubspot_) 2022-04-13 05:02:37 destination > 2022-04-13 05:02:37 INFO i.a.i.d.b.BigQueryGcsOperations(dropStageIfExists):183 - Cleaning up staging path for stream engagements_meetings (dataset hubspot_): product/hubspot__engagements_meetings 2022-04-13 05:02:37 destination > 2022-04-13 05:02:37 INFO i.a.i.d.g.GcsStorageOperations(cleanUpObjects):41 - Deleting object product/hubspot__engagements_meetings/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-13 05:02:37 destination > 2022-04-13 05:02:37 INFO i.a.i.d.g.GcsStorageOperations(cleanUpObjects):41 - Deleting object product/hubspot__engagements_meetings/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro 2022-04-13 05:02:37 destination > 2022-04-13 05:02:37 INFO i.a.i.d.s.S3StorageOperations(cleanUpBucketObject):253 - Storage bucket product/hubspot__engagements_meetings has been cleaned-up (2 objects were deleted)... 2022-04-13 05:02:37 destination > 2022-04-13 05:02:37 INFO i.a.i.d.b.BigQueryGcsOperations(dropTableIfExists):172 - Deleting tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_cwl_subscription_changes}} (dataset hubspot_) 2022-04-13 05:02:37 destination > 2022-04-13 05:02:37 INFO i.a.i.d.b.BigQueryGcsOperations(dropStageIfExists):183 - Cleaning up staging path for stream subscription_changes (dataset hubspot_): product/hubspot__subscription_changes 2022-04-13 05:02:37 destination > 2022-04-13 05:02:37 INFO i.a.i.d.g.GcsStorageOperations(cleanUpObjects):41 - Deleting object product/hubspot__subscription_changes/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-13 05:02:37 destination > 2022-04-13 05:02:37 INFO i.a.i.d.g.GcsStorageOperations(cleanUpObjects):41 - Deleting object product/hubspot__subscription_changes/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro 2022-04-13 05:02:37 destination > 2022-04-13 05:02:37 INFO i.a.i.d.g.GcsStorageOperations(cleanUpObjects):41 - Deleting object product/hubspot__subscription_changes/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro 2022-04-13 05:02:37 destination > 2022-04-13 05:02:37 INFO i.a.i.d.s.S3StorageOperations(cleanUpBucketObject):253 - Storage bucket product/hubspot__subscription_changes has been cleaned-up (3 objects were deleted)... 2022-04-13 05:02:37 destination > 2022-04-13 05:02:37 INFO i.a.i.d.b.BigQueryGcsOperations(dropTableIfExists):172 - Deleting tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_ycd_workflows}} (dataset hubspot_) 2022-04-13 05:02:38 destination > 2022-04-13 05:02:38 INFO i.a.i.d.b.BigQueryGcsOperations(dropStageIfExists):183 - Cleaning up staging path for stream workflows (dataset hubspot_): product/hubspot__workflows 2022-04-13 05:02:38 destination > 2022-04-13 05:02:38 INFO i.a.i.d.g.GcsStorageOperations(cleanUpObjects):41 - Deleting object product/hubspot__workflows/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-13 05:02:38 destination > 2022-04-13 05:02:38 INFO i.a.i.d.g.GcsStorageOperations(cleanUpObjects):41 - Deleting object product/hubspot__workflows/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro 2022-04-13 05:02:38 destination > 2022-04-13 05:02:38 INFO i.a.i.d.s.S3StorageOperations(cleanUpBucketObject):253 - Storage bucket product/hubspot__workflows has been cleaned-up (2 objects were deleted)... 2022-04-13 05:02:38 destination > 2022-04-13 05:02:38 INFO i.a.i.d.b.BigQueryGcsOperations(dropTableIfExists):172 - Deleting tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_ter_engagements}} (dataset hubspot_) 2022-04-13 05:02:38 destination > 2022-04-13 05:02:38 INFO i.a.i.d.b.BigQueryGcsOperations(dropStageIfExists):183 - Cleaning up staging path for stream engagements (dataset hubspot_): product/hubspot__engagements 2022-04-13 05:02:38 destination > 2022-04-13 05:02:38 INFO i.a.i.d.g.GcsStorageOperations(cleanUpObjects):41 - Deleting object product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-13 05:02:38 destination > 2022-04-13 05:02:38 INFO i.a.i.d.g.GcsStorageOperations(cleanUpObjects):41 - Deleting object product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro 2022-04-13 05:02:38 destination > 2022-04-13 05:02:38 INFO i.a.i.d.g.GcsStorageOperations(cleanUpObjects):41 - Deleting object product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/10.avro 2022-04-13 05:02:38 destination > 2022-04-13 05:02:38 INFO i.a.i.d.g.GcsStorageOperations(cleanUpObjects):41 - Deleting object product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/11.avro 2022-04-13 05:02:38 destination > 2022-04-13 05:02:38 INFO i.a.i.d.g.GcsStorageOperations(cleanUpObjects):41 - Deleting object product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro 2022-04-13 05:02:38 destination > 2022-04-13 05:02:38 INFO i.a.i.d.g.GcsStorageOperations(cleanUpObjects):41 - Deleting object product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro 2022-04-13 05:02:38 destination > 2022-04-13 05:02:38 INFO i.a.i.d.g.GcsStorageOperations(cleanUpObjects):41 - Deleting object product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro 2022-04-13 05:02:38 destination > 2022-04-13 05:02:38 INFO i.a.i.d.g.GcsStorageOperations(cleanUpObjects):41 - Deleting object product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro 2022-04-13 05:02:38 destination > 2022-04-13 05:02:38 INFO i.a.i.d.g.GcsStorageOperations(cleanUpObjects):41 - Deleting object product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro 2022-04-13 05:02:38 destination > 2022-04-13 05:02:38 INFO i.a.i.d.g.GcsStorageOperations(cleanUpObjects):41 - Deleting object product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/7.avro 2022-04-13 05:02:38 destination > 2022-04-13 05:02:38 INFO i.a.i.d.g.GcsStorageOperations(cleanUpObjects):41 - Deleting object product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/8.avro 2022-04-13 05:02:38 destination > 2022-04-13 05:02:38 INFO i.a.i.d.g.GcsStorageOperations(cleanUpObjects):41 - Deleting object product/hubspot__engagements/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/9.avro 2022-04-13 05:02:38 destination > 2022-04-13 05:02:38 INFO i.a.i.d.g.GcsStorageOperations(cleanUpObjects):41 - Deleting object product/hubspot__engagements_calls/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-13 05:02:38 destination > 2022-04-13 05:02:38 INFO i.a.i.d.g.GcsStorageOperations(cleanUpObjects):41 - Deleting object product/hubspot__engagements_calls/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro 2022-04-13 05:02:39 destination > 2022-04-13 05:02:39 INFO i.a.i.d.g.GcsStorageOperations(cleanUpObjects):41 - Deleting object product/hubspot__engagements_calls/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro 2022-04-13 05:02:39 destination > 2022-04-13 05:02:39 INFO i.a.i.d.g.GcsStorageOperations(cleanUpObjects):41 - Deleting object product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-13 05:02:39 destination > 2022-04-13 05:02:39 INFO i.a.i.d.g.GcsStorageOperations(cleanUpObjects):41 - Deleting object product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro 2022-04-13 05:02:39 destination > 2022-04-13 05:02:39 INFO i.a.i.d.g.GcsStorageOperations(cleanUpObjects):41 - Deleting object product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/10.avro 2022-04-13 05:02:39 destination > 2022-04-13 05:02:39 INFO i.a.i.d.g.GcsStorageOperations(cleanUpObjects):41 - Deleting object product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro 2022-04-13 05:02:39 destination > 2022-04-13 05:02:39 INFO i.a.i.d.g.GcsStorageOperations(cleanUpObjects):41 - Deleting object product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro 2022-04-13 05:02:39 destination > 2022-04-13 05:02:39 INFO i.a.i.d.g.GcsStorageOperations(cleanUpObjects):41 - Deleting object product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro 2022-04-13 05:02:39 destination > 2022-04-13 05:02:39 INFO i.a.i.d.g.GcsStorageOperations(cleanUpObjects):41 - Deleting object product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro 2022-04-13 05:02:39 destination > 2022-04-13 05:02:39 INFO i.a.i.d.g.GcsStorageOperations(cleanUpObjects):41 - Deleting object product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro 2022-04-13 05:02:39 destination > 2022-04-13 05:02:39 INFO i.a.i.d.g.GcsStorageOperations(cleanUpObjects):41 - Deleting object product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/7.avro 2022-04-13 05:02:39 destination > 2022-04-13 05:02:39 INFO i.a.i.d.g.GcsStorageOperations(cleanUpObjects):41 - Deleting object product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/8.avro 2022-04-13 05:02:39 destination > 2022-04-13 05:02:39 INFO i.a.i.d.g.GcsStorageOperations(cleanUpObjects):41 - Deleting object product/hubspot__engagements_emails/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/9.avro 2022-04-13 05:02:39 destination > 2022-04-13 05:02:39 INFO i.a.i.d.g.GcsStorageOperations(cleanUpObjects):41 - Deleting object product/hubspot__engagements_notes/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-13 05:02:39 destination > 2022-04-13 05:02:39 INFO i.a.i.d.g.GcsStorageOperations(cleanUpObjects):41 - Deleting object product/hubspot__engagements_notes/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro 2022-04-13 05:02:39 destination > 2022-04-13 05:02:39 INFO i.a.i.d.g.GcsStorageOperations(cleanUpObjects):41 - Deleting object product/hubspot__engagements_notes/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro 2022-04-13 05:02:39 destination > 2022-04-13 05:02:39 INFO i.a.i.d.g.GcsStorageOperations(cleanUpObjects):41 - Deleting object product/hubspot__engagements_tasks/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-13 05:02:39 destination > 2022-04-13 05:02:39 INFO i.a.i.d.g.GcsStorageOperations(cleanUpObjects):41 - Deleting object product/hubspot__engagements_tasks/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro 2022-04-13 05:02:39 destination > 2022-04-13 05:02:39 INFO i.a.i.d.s.S3StorageOperations(cleanUpBucketObject):253 - Storage bucket product/hubspot__engagements has been cleaned-up (31 objects were deleted)... 2022-04-13 05:02:39 destination > 2022-04-13 05:02:39 INFO i.a.i.d.b.BigQueryGcsOperations(dropTableIfExists):172 - Deleting tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_edx_line_items}} (dataset hubspot_) 2022-04-13 05:02:39 destination > 2022-04-13 05:02:39 INFO i.a.i.d.b.BigQueryGcsOperations(dropStageIfExists):183 - Cleaning up staging path for stream line_items (dataset hubspot_): product/hubspot__line_items 2022-04-13 05:02:39 destination > 2022-04-13 05:02:39 INFO i.a.i.d.g.GcsStorageOperations(cleanUpObjects):41 - Deleting object product/hubspot__line_items/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-13 05:02:40 destination > 2022-04-13 05:02:40 INFO i.a.i.d.s.S3StorageOperations(cleanUpBucketObject):253 - Storage bucket product/hubspot__line_items has been cleaned-up (1 objects were deleted)... 2022-04-13 05:02:40 destination > 2022-04-13 05:02:40 INFO i.a.i.d.b.BigQueryGcsOperations(dropTableIfExists):172 - Deleting tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_cve_engagements_tasks}} (dataset hubspot_) 2022-04-13 05:02:40 destination > 2022-04-13 05:02:40 INFO i.a.i.d.b.BigQueryGcsOperations(dropStageIfExists):183 - Cleaning up staging path for stream engagements_tasks (dataset hubspot_): product/hubspot__engagements_tasks 2022-04-13 05:02:40 destination > 2022-04-13 05:02:40 INFO i.a.i.d.b.BigQueryGcsOperations(dropTableIfExists):172 - Deleting tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_epz_contacts_list_memberships}} (dataset hubspot_) 2022-04-13 05:02:40 destination > 2022-04-13 05:02:40 INFO i.a.i.d.b.BigQueryGcsOperations(dropStageIfExists):183 - Cleaning up staging path for stream contacts_list_memberships (dataset hubspot_): product/hubspot__contacts_list_memberships 2022-04-13 05:02:40 destination > 2022-04-13 05:02:40 INFO i.a.i.d.g.GcsStorageOperations(cleanUpObjects):41 - Deleting object product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-13 05:02:40 destination > 2022-04-13 05:02:40 INFO i.a.i.d.g.GcsStorageOperations(cleanUpObjects):41 - Deleting object product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro 2022-04-13 05:02:40 destination > 2022-04-13 05:02:40 INFO i.a.i.d.g.GcsStorageOperations(cleanUpObjects):41 - Deleting object product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro 2022-04-13 05:02:40 destination > 2022-04-13 05:02:40 INFO i.a.i.d.g.GcsStorageOperations(cleanUpObjects):41 - Deleting object product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro 2022-04-13 05:02:40 destination > 2022-04-13 05:02:40 INFO i.a.i.d.g.GcsStorageOperations(cleanUpObjects):41 - Deleting object product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro 2022-04-13 05:02:40 destination > 2022-04-13 05:02:40 INFO i.a.i.d.g.GcsStorageOperations(cleanUpObjects):41 - Deleting object product/hubspot__contacts_list_memberships/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro 2022-04-13 05:02:40 destination > 2022-04-13 05:02:40 INFO i.a.i.d.s.S3StorageOperations(cleanUpBucketObject):253 - Storage bucket product/hubspot__contacts_list_memberships has been cleaned-up (6 objects were deleted)... 2022-04-13 05:02:40 destination > 2022-04-13 05:02:40 INFO i.a.i.d.b.BigQueryGcsOperations(dropTableIfExists):172 - Deleting tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_myb_ticket_pipelines}} (dataset hubspot_) 2022-04-13 05:02:40 destination > 2022-04-13 05:02:40 INFO i.a.i.d.b.BigQueryGcsOperations(dropStageIfExists):183 - Cleaning up staging path for stream ticket_pipelines (dataset hubspot_): product/hubspot__ticket_pipelines 2022-04-13 05:02:40 destination > 2022-04-13 05:02:40 INFO i.a.i.d.g.GcsStorageOperations(cleanUpObjects):41 - Deleting object product/hubspot__ticket_pipelines/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-13 05:02:40 destination > 2022-04-13 05:02:40 INFO i.a.i.d.g.GcsStorageOperations(cleanUpObjects):41 - Deleting object product/hubspot__ticket_pipelines/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro 2022-04-13 05:02:40 destination > 2022-04-13 05:02:40 INFO i.a.i.d.s.S3StorageOperations(cleanUpBucketObject):253 - Storage bucket product/hubspot__ticket_pipelines has been cleaned-up (2 objects were deleted)... 2022-04-13 05:02:40 destination > 2022-04-13 05:02:40 INFO i.a.i.d.b.BigQueryGcsOperations(dropTableIfExists):172 - Deleting tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_iui_email_events}} (dataset hubspot_) 2022-04-13 05:02:40 destination > 2022-04-13 05:02:40 INFO i.a.i.d.b.BigQueryGcsOperations(dropStageIfExists):183 - Cleaning up staging path for stream email_events (dataset hubspot_): product/hubspot__email_events 2022-04-13 05:02:41 destination > 2022-04-13 05:02:41 INFO i.a.i.d.g.GcsStorageOperations(cleanUpObjects):41 - Deleting object product/hubspot__email_events/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-13 05:02:41 destination > 2022-04-13 05:02:41 INFO i.a.i.d.g.GcsStorageOperations(cleanUpObjects):41 - Deleting object product/hubspot__email_events/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro 2022-04-13 05:02:41 destination > 2022-04-13 05:02:41 INFO i.a.i.d.s.S3StorageOperations(cleanUpBucketObject):253 - Storage bucket product/hubspot__email_events has been cleaned-up (2 objects were deleted)... 2022-04-13 05:02:41 destination > 2022-04-13 05:02:41 INFO i.a.i.d.b.BigQueryGcsOperations(dropTableIfExists):172 - Deleting tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_vth_engagements_calls}} (dataset hubspot_) 2022-04-13 05:02:41 destination > 2022-04-13 05:02:41 INFO i.a.i.d.b.BigQueryGcsOperations(dropStageIfExists):183 - Cleaning up staging path for stream engagements_calls (dataset hubspot_): product/hubspot__engagements_calls 2022-04-13 05:02:41 destination > 2022-04-13 05:02:41 INFO i.a.i.d.b.BigQueryGcsOperations(dropTableIfExists):172 - Deleting tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_avz_contact_lists}} (dataset hubspot_) 2022-04-13 05:02:41 destination > 2022-04-13 05:02:41 INFO i.a.i.d.b.BigQueryGcsOperations(dropStageIfExists):183 - Cleaning up staging path for stream contact_lists (dataset hubspot_): product/hubspot__contact_lists 2022-04-13 05:02:41 destination > 2022-04-13 05:02:41 INFO i.a.i.d.g.GcsStorageOperations(cleanUpObjects):41 - Deleting object product/hubspot__contact_lists/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-13 05:02:41 destination > 2022-04-13 05:02:41 INFO i.a.i.d.g.GcsStorageOperations(cleanUpObjects):41 - Deleting object product/hubspot__contact_lists/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro 2022-04-13 05:02:41 destination > 2022-04-13 05:02:41 INFO i.a.i.d.s.S3StorageOperations(cleanUpBucketObject):253 - Storage bucket product/hubspot__contact_lists has been cleaned-up (2 objects were deleted)... 2022-04-13 05:02:41 destination > 2022-04-13 05:02:41 INFO i.a.i.d.b.BigQueryGcsOperations(dropTableIfExists):172 - Deleting tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_hiq_contacts}} (dataset hubspot_) 2022-04-13 05:02:41 destination > 2022-04-13 05:02:41 INFO i.a.i.d.b.BigQueryGcsOperations(dropStageIfExists):183 - Cleaning up staging path for stream contacts (dataset hubspot_): product/hubspot__contacts 2022-04-13 05:02:41 destination > 2022-04-13 05:02:41 INFO i.a.i.d.g.GcsStorageOperations(cleanUpObjects):41 - Deleting object product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-13 05:02:41 destination > 2022-04-13 05:02:41 INFO i.a.i.d.g.GcsStorageOperations(cleanUpObjects):41 - Deleting object product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro 2022-04-13 05:02:41 destination > 2022-04-13 05:02:41 INFO i.a.i.d.g.GcsStorageOperations(cleanUpObjects):41 - Deleting object product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro 2022-04-13 05:02:41 destination > 2022-04-13 05:02:41 INFO i.a.i.d.g.GcsStorageOperations(cleanUpObjects):41 - Deleting object product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro 2022-04-13 05:02:41 destination > 2022-04-13 05:02:41 INFO i.a.i.d.g.GcsStorageOperations(cleanUpObjects):41 - Deleting object product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro 2022-04-13 05:02:41 destination > 2022-04-13 05:02:41 INFO i.a.i.d.g.GcsStorageOperations(cleanUpObjects):41 - Deleting object product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/5.avro 2022-04-13 05:02:41 destination > 2022-04-13 05:02:41 INFO i.a.i.d.g.GcsStorageOperations(cleanUpObjects):41 - Deleting object product/hubspot__contacts/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/6.avro 2022-04-13 05:02:41 destination > 2022-04-13 05:02:41 INFO i.a.i.d.s.S3StorageOperations(cleanUpBucketObject):253 - Storage bucket product/hubspot__contacts has been cleaned-up (7 objects were deleted)... 2022-04-13 05:02:41 destination > 2022-04-13 05:02:41 INFO i.a.i.d.b.BigQueryGcsOperations(dropTableIfExists):172 - Deleting tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_jlk_form_submissions}} (dataset hubspot_) 2022-04-13 05:02:42 destination > 2022-04-13 05:02:42 INFO i.a.i.d.b.BigQueryGcsOperations(dropStageIfExists):183 - Cleaning up staging path for stream form_submissions (dataset hubspot_): product/hubspot__form_submissions 2022-04-13 05:02:42 destination > 2022-04-13 05:02:42 INFO i.a.i.d.g.GcsStorageOperations(cleanUpObjects):41 - Deleting object product/hubspot__form_submissions/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-13 05:02:42 destination > 2022-04-13 05:02:42 INFO i.a.i.d.g.GcsStorageOperations(cleanUpObjects):41 - Deleting object product/hubspot__form_submissions/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro 2022-04-13 05:02:42 destination > 2022-04-13 05:02:42 INFO i.a.i.d.s.S3StorageOperations(cleanUpBucketObject):253 - Storage bucket product/hubspot__form_submissions has been cleaned-up (2 objects were deleted)... 2022-04-13 05:02:42 destination > 2022-04-13 05:02:42 INFO i.a.i.d.b.BigQueryGcsOperations(dropTableIfExists):172 - Deleting tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_nwt_products}} (dataset hubspot_) 2022-04-13 05:02:42 destination > 2022-04-13 05:02:42 INFO i.a.i.d.b.BigQueryGcsOperations(dropStageIfExists):183 - Cleaning up staging path for stream products (dataset hubspot_): product/hubspot__products 2022-04-13 05:02:42 destination > 2022-04-13 05:02:42 INFO i.a.i.d.g.GcsStorageOperations(cleanUpObjects):41 - Deleting object product/hubspot__products/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-13 05:02:42 destination > 2022-04-13 05:02:42 INFO i.a.i.d.s.S3StorageOperations(cleanUpBucketObject):253 - Storage bucket product/hubspot__products has been cleaned-up (1 objects were deleted)... 2022-04-13 05:02:42 destination > 2022-04-13 05:02:42 INFO i.a.i.d.b.BigQueryGcsOperations(dropTableIfExists):172 - Deleting tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_wjv_campaigns}} (dataset hubspot_) 2022-04-13 05:02:42 destination > 2022-04-13 05:02:42 INFO i.a.i.d.b.BigQueryGcsOperations(dropStageIfExists):183 - Cleaning up staging path for stream campaigns (dataset hubspot_): product/hubspot__campaigns 2022-04-13 05:02:42 destination > 2022-04-13 05:02:42 INFO i.a.i.d.g.GcsStorageOperations(cleanUpObjects):41 - Deleting object product/hubspot__campaigns/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-13 05:02:42 destination > 2022-04-13 05:02:42 INFO i.a.i.d.g.GcsStorageOperations(cleanUpObjects):41 - Deleting object product/hubspot__campaigns/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro 2022-04-13 05:02:42 destination > 2022-04-13 05:02:42 INFO i.a.i.d.s.S3StorageOperations(cleanUpBucketObject):253 - Storage bucket product/hubspot__campaigns has been cleaned-up (2 objects were deleted)... 2022-04-13 05:02:42 destination > 2022-04-13 05:02:42 INFO i.a.i.d.b.BigQueryGcsOperations(dropTableIfExists):172 - Deleting tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_pmq_engagements_notes}} (dataset hubspot_) 2022-04-13 05:02:42 destination > 2022-04-13 05:02:42 INFO i.a.i.d.b.BigQueryGcsOperations(dropStageIfExists):183 - Cleaning up staging path for stream engagements_notes (dataset hubspot_): product/hubspot__engagements_notes 2022-04-13 05:02:42 destination > 2022-04-13 05:02:42 INFO i.a.i.d.b.BigQueryGcsOperations(dropTableIfExists):172 - Deleting tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_qtn_quotes}} (dataset hubspot_) 2022-04-13 05:02:42 destination > 2022-04-13 05:02:42 INFO i.a.i.d.b.BigQueryGcsOperations(dropStageIfExists):183 - Cleaning up staging path for stream quotes (dataset hubspot_): product/hubspot__quotes 2022-04-13 05:02:42 destination > 2022-04-13 05:02:42 INFO i.a.i.d.g.GcsStorageOperations(cleanUpObjects):41 - Deleting object product/hubspot__quotes/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-13 05:02:42 destination > 2022-04-13 05:02:42 INFO i.a.i.d.s.S3StorageOperations(cleanUpBucketObject):253 - Storage bucket product/hubspot__quotes has been cleaned-up (1 objects were deleted)... 2022-04-13 05:02:42 destination > 2022-04-13 05:02:42 INFO i.a.i.d.b.BigQueryGcsOperations(dropTableIfExists):172 - Deleting tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_oxx_companies}} (dataset hubspot_) 2022-04-13 05:02:42 destination > 2022-04-13 05:02:42 INFO i.a.i.d.b.BigQueryGcsOperations(dropStageIfExists):183 - Cleaning up staging path for stream companies (dataset hubspot_): product/hubspot__companies 2022-04-13 05:02:42 destination > 2022-04-13 05:02:42 INFO i.a.i.d.g.GcsStorageOperations(cleanUpObjects):41 - Deleting object product/hubspot__companies/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-13 05:02:42 destination > 2022-04-13 05:02:42 INFO i.a.i.d.g.GcsStorageOperations(cleanUpObjects):41 - Deleting object product/hubspot__companies/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro 2022-04-13 05:02:43 destination > 2022-04-13 05:02:43 INFO i.a.i.d.s.S3StorageOperations(cleanUpBucketObject):253 - Storage bucket product/hubspot__companies has been cleaned-up (2 objects were deleted)... 2022-04-13 05:02:43 destination > 2022-04-13 05:02:43 INFO i.a.i.d.b.BigQueryGcsOperations(dropTableIfExists):172 - Deleting tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_zpp_forms}} (dataset hubspot_) 2022-04-13 05:02:43 destination > 2022-04-13 05:02:43 INFO i.a.i.d.b.BigQueryGcsOperations(dropStageIfExists):183 - Cleaning up staging path for stream forms (dataset hubspot_): product/hubspot__forms 2022-04-13 05:02:43 destination > 2022-04-13 05:02:43 INFO i.a.i.d.g.GcsStorageOperations(cleanUpObjects):41 - Deleting object product/hubspot__forms/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-13 05:02:43 destination > 2022-04-13 05:02:43 INFO i.a.i.d.g.GcsStorageOperations(cleanUpObjects):41 - Deleting object product/hubspot__forms/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro 2022-04-13 05:02:43 destination > 2022-04-13 05:02:43 INFO i.a.i.d.s.S3StorageOperations(cleanUpBucketObject):253 - Storage bucket product/hubspot__forms has been cleaned-up (2 objects were deleted)... 2022-04-13 05:02:43 destination > 2022-04-13 05:02:43 INFO i.a.i.d.b.BigQueryGcsOperations(dropTableIfExists):172 - Deleting tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_mrl_owners}} (dataset hubspot_) 2022-04-13 05:02:43 destination > 2022-04-13 05:02:43 INFO i.a.i.d.b.BigQueryGcsOperations(dropStageIfExists):183 - Cleaning up staging path for stream owners (dataset hubspot_): product/hubspot__owners 2022-04-13 05:02:43 destination > 2022-04-13 05:02:43 INFO i.a.i.d.g.GcsStorageOperations(cleanUpObjects):41 - Deleting object product/hubspot__owners/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-13 05:02:43 destination > 2022-04-13 05:02:43 INFO i.a.i.d.g.GcsStorageOperations(cleanUpObjects):41 - Deleting object product/hubspot__owners/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro 2022-04-13 05:02:43 destination > 2022-04-13 05:02:43 INFO i.a.i.d.s.S3StorageOperations(cleanUpBucketObject):253 - Storage bucket product/hubspot__owners has been cleaned-up (2 objects were deleted)... 2022-04-13 05:02:43 destination > 2022-04-13 05:02:43 INFO i.a.i.d.b.BigQueryGcsOperations(dropTableIfExists):172 - Deleting tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_ejs_property_history}} (dataset hubspot_) 2022-04-13 05:02:43 destination > 2022-04-13 05:02:43 INFO i.a.i.d.b.BigQueryGcsOperations(dropStageIfExists):183 - Cleaning up staging path for stream property_history (dataset hubspot_): product/hubspot__property_history 2022-04-13 05:02:43 destination > 2022-04-13 05:02:43 INFO i.a.i.d.g.GcsStorageOperations(cleanUpObjects):41 - Deleting object product/hubspot__property_history/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-13 05:02:43 destination > 2022-04-13 05:02:43 INFO i.a.i.d.s.S3StorageOperations(cleanUpBucketObject):253 - Storage bucket product/hubspot__property_history has been cleaned-up (1 objects were deleted)... 2022-04-13 05:02:43 destination > 2022-04-13 05:02:43 INFO i.a.i.d.b.BigQueryGcsOperations(dropTableIfExists):172 - Deleting tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_uyu_tickets}} (dataset hubspot_) 2022-04-13 05:02:43 destination > 2022-04-13 05:02:43 INFO i.a.i.d.b.BigQueryGcsOperations(dropStageIfExists):183 - Cleaning up staging path for stream tickets (dataset hubspot_): product/hubspot__tickets 2022-04-13 05:02:43 destination > 2022-04-13 05:02:43 INFO i.a.i.d.g.GcsStorageOperations(cleanUpObjects):41 - Deleting object product/hubspot__tickets/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-13 05:02:43 destination > 2022-04-13 05:02:43 INFO i.a.i.d.g.GcsStorageOperations(cleanUpObjects):41 - Deleting object product/hubspot__tickets/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro 2022-04-13 05:02:43 destination > 2022-04-13 05:02:43 INFO i.a.i.d.s.S3StorageOperations(cleanUpBucketObject):253 - Storage bucket product/hubspot__tickets has been cleaned-up (2 objects were deleted)... 2022-04-13 05:02:43 destination > 2022-04-13 05:02:43 INFO i.a.i.d.b.BigQueryGcsOperations(dropTableIfExists):172 - Deleting tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_iyt_deals}} (dataset hubspot_) 2022-04-13 05:02:43 destination > 2022-04-13 05:02:43 INFO i.a.i.d.b.BigQueryGcsOperations(dropStageIfExists):183 - Cleaning up staging path for stream deals (dataset hubspot_): product/hubspot__deals 2022-04-13 05:02:43 destination > 2022-04-13 05:02:43 INFO i.a.i.d.g.GcsStorageOperations(cleanUpObjects):41 - Deleting object product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-13 05:02:43 destination > 2022-04-13 05:02:43 INFO i.a.i.d.g.GcsStorageOperations(cleanUpObjects):41 - Deleting object product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro 2022-04-13 05:02:44 destination > 2022-04-13 05:02:44 INFO i.a.i.d.g.GcsStorageOperations(cleanUpObjects):41 - Deleting object product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/2.avro 2022-04-13 05:02:44 destination > 2022-04-13 05:02:44 INFO i.a.i.d.g.GcsStorageOperations(cleanUpObjects):41 - Deleting object product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/3.avro 2022-04-13 05:02:44 destination > 2022-04-13 05:02:44 INFO i.a.i.d.g.GcsStorageOperations(cleanUpObjects):41 - Deleting object product/hubspot__deals/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/4.avro 2022-04-13 05:02:44 destination > 2022-04-13 05:02:44 INFO i.a.i.d.s.S3StorageOperations(cleanUpBucketObject):253 - Storage bucket product/hubspot__deals has been cleaned-up (5 objects were deleted)... 2022-04-13 05:02:44 destination > 2022-04-13 05:02:44 INFO i.a.i.d.b.BigQueryGcsOperations(dropTableIfExists):172 - Deleting tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_vff_engagements_emails}} (dataset hubspot_) 2022-04-13 05:02:44 destination > 2022-04-13 05:02:44 INFO i.a.i.d.b.BigQueryGcsOperations(dropStageIfExists):183 - Cleaning up staging path for stream engagements_emails (dataset hubspot_): product/hubspot__engagements_emails 2022-04-13 05:02:44 destination > 2022-04-13 05:02:44 INFO i.a.i.d.b.BigQueryGcsOperations(dropTableIfExists):172 - Deleting tmp table GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=hubspot_, tableId=_airbyte_tmp_nbw_deal_pipelines}} (dataset hubspot_) 2022-04-13 05:02:44 destination > 2022-04-13 05:02:44 INFO i.a.i.d.b.BigQueryGcsOperations(dropStageIfExists):183 - Cleaning up staging path for stream deal_pipelines (dataset hubspot_): product/hubspot__deal_pipelines 2022-04-13 05:02:44 destination > 2022-04-13 05:02:44 INFO i.a.i.d.g.GcsStorageOperations(cleanUpObjects):41 - Deleting object product/hubspot__deal_pipelines/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/ 2022-04-13 05:02:44 destination > 2022-04-13 05:02:44 INFO i.a.i.d.g.GcsStorageOperations(cleanUpObjects):41 - Deleting object product/hubspot__deal_pipelines/2022/04/12/23/b23515e5-50b9-4d53-8b74-003a9fe08f7e/1.avro 2022-04-13 05:02:44 destination > 2022-04-13 05:02:44 INFO i.a.i.d.s.S3StorageOperations(cleanUpBucketObject):253 - Storage bucket product/hubspot__deal_pipelines has been cleaned-up (2 objects were deleted)... 2022-04-13 05:02:44 destination > 2022-04-13 05:02:44 INFO i.a.i.d.b.BigQueryStagingConsumerFactory(lambda$onCloseFunction$5):164 - Cleaning up destination completed. 2022-04-13 05:02:44 destination > 2022-04-13 05:02:44 INFO i.a.i.b.IntegrationRunner(runInternal):169 - Completed integration: io.airbyte.integrations.destination.bigquery.BigQueryDestination 2022-04-13 05:02:48 normalization > Running: transform-config --config destination_config.json --integration-type bigquery --out /config 2022-04-13 05:02:48 normalization > Namespace(config='destination_config.json', integration_type=, out='/config') 2022-04-13 05:02:48 normalization > transform_bigquery 2022-04-13 05:02:48 normalization > Running: transform-catalog --integration-type bigquery --profile-config-dir /config --catalog destination_catalog.json --out /config/models/generated/ --json-column _airbyte_data 2022-04-13 05:02:48 normalization > Processing destination_catalog.json... 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/campaigns_ab1.sql from campaigns 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/campaigns_ab2.sql from campaigns 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/campaigns_ab3.sql from campaigns 2022-04-13 05:02:48 normalization > Generating airbyte_tables/hubspot_/campaigns.sql from campaigns 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/companies_ab1.sql from companies 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/companies_ab2.sql from companies 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/companies_ab3.sql from companies 2022-04-13 05:02:48 normalization > Generating airbyte_incremental/hubspot_/companies.sql from companies 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/contact_lists_ab1.sql from contact_lists 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/contact_lists_ab2.sql from contact_lists 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/contact_lists_ab3.sql from contact_lists 2022-04-13 05:02:48 normalization > Generating airbyte_incremental/hubspot_/contact_lists.sql from contact_lists 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/contacts_ab1.sql from contacts 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/contacts_ab2.sql from contacts 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/contacts_ab3.sql from contacts 2022-04-13 05:02:48 normalization > Generating airbyte_incremental/hubspot_/contacts.sql from contacts 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/contacts_list_memberships_ab1.sql from contacts_list_memberships 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/contacts_list_memberships_ab2.sql from contacts_list_memberships 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/contacts_list_memberships_ab3.sql from contacts_list_memberships 2022-04-13 05:02:48 normalization > Generating airbyte_tables/hubspot_/contacts_list_memberships.sql from contacts_list_memberships 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/deal_pipelines_ab1.sql from deal_pipelines 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/deal_pipelines_ab2.sql from deal_pipelines 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/deal_pipelines_ab3.sql from deal_pipelines 2022-04-13 05:02:48 normalization > Generating airbyte_tables/hubspot_/deal_pipelines.sql from deal_pipelines 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/deals_ab1.sql from deals 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/deals_ab2.sql from deals 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/deals_ab3.sql from deals 2022-04-13 05:02:48 normalization > Generating airbyte_incremental/hubspot_/deals.sql from deals 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/email_events_ab1.sql from email_events 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/email_events_ab2.sql from email_events 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/email_events_ab3.sql from email_events 2022-04-13 05:02:48 normalization > Generating airbyte_incremental/hubspot_/email_events.sql from email_events 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/engagements_ab1.sql from engagements 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/engagements_ab2.sql from engagements 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/engagements_ab3.sql from engagements 2022-04-13 05:02:48 normalization > Generating airbyte_incremental/hubspot_/engagements.sql from engagements 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/engagements_calls_ab1.sql from engagements_calls 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/engagements_calls_ab2.sql from engagements_calls 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/engagements_calls_ab3.sql from engagements_calls 2022-04-13 05:02:48 normalization > Generating airbyte_incremental/hubspot_/engagements_calls.sql from engagements_calls 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/engagements_emails_ab1.sql from engagements_emails 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/engagements_emails_ab2.sql from engagements_emails 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/engagements_emails_ab3.sql from engagements_emails 2022-04-13 05:02:48 normalization > Generating airbyte_incremental/hubspot_/engagements_emails.sql from engagements_emails 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/engagements_meetings_ab1.sql from engagements_meetings 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/engagements_meetings_ab2.sql from engagements_meetings 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/engagements_meetings_ab3.sql from engagements_meetings 2022-04-13 05:02:48 normalization > Generating airbyte_incremental/hubspot_/engagements_meetings.sql from engagements_meetings 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/engagements_notes_ab1.sql from engagements_notes 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/engagements_notes_ab2.sql from engagements_notes 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/engagements_notes_ab3.sql from engagements_notes 2022-04-13 05:02:48 normalization > Generating airbyte_incremental/hubspot_/engagements_notes.sql from engagements_notes 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/engagements_tasks_ab1.sql from engagements_tasks 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/engagements_tasks_ab2.sql from engagements_tasks 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/engagements_tasks_ab3.sql from engagements_tasks 2022-04-13 05:02:48 normalization > Generating airbyte_incremental/hubspot_/engagements_tasks.sql from engagements_tasks 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/form_submissions_ab1.sql from form_submissions 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/form_submissions_ab2.sql from form_submissions 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/form_submissions_ab3.sql from form_submissions 2022-04-13 05:02:48 normalization > Generating airbyte_tables/hubspot_/form_submissions.sql from form_submissions 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/forms_ab1.sql from forms 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/forms_ab2.sql from forms 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/forms_ab3.sql from forms 2022-04-13 05:02:48 normalization > Generating airbyte_tables/hubspot_/forms.sql from forms 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/line_items_ab1.sql from line_items 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/line_items_ab2.sql from line_items 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/line_items_ab3.sql from line_items 2022-04-13 05:02:48 normalization > Generating airbyte_incremental/hubspot_/line_items.sql from line_items 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/marketing_emails_ab1.sql from marketing_emails 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/marketing_emails_ab2.sql from marketing_emails 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/marketing_emails_ab3.sql from marketing_emails 2022-04-13 05:02:48 normalization > Generating airbyte_tables/hubspot_/marketing_emails.sql from marketing_emails 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/owners_ab1.sql from owners 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/owners_ab2.sql from owners 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/owners_ab3.sql from owners 2022-04-13 05:02:48 normalization > Generating airbyte_tables/hubspot_/owners.sql from owners 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/products_ab1.sql from products 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/products_ab2.sql from products 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/products_ab3.sql from products 2022-04-13 05:02:48 normalization > Generating airbyte_incremental/hubspot_/products.sql from products 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/property_history_ab1.sql from property_history 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/property_history_ab2.sql from property_history 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/property_history_ab3.sql from property_history 2022-04-13 05:02:48 normalization > Generating airbyte_incremental/hubspot_/property_history.sql from property_history 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/quotes_ab1.sql from quotes 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/quotes_ab2.sql from quotes 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/quotes_ab3.sql from quotes 2022-04-13 05:02:48 normalization > Generating airbyte_incremental/hubspot_/quotes.sql from quotes 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/subscription_changes_ab1.sql from subscription_changes 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/subscription_changes_ab2.sql from subscription_changes 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/subscription_changes_ab3.sql from subscription_changes 2022-04-13 05:02:48 normalization > Generating airbyte_incremental/hubspot_/subscription_changes.sql from subscription_changes 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/ticket_pipelines_ab1.sql from ticket_pipelines 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/ticket_pipelines_ab2.sql from ticket_pipelines 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/ticket_pipelines_ab3.sql from ticket_pipelines 2022-04-13 05:02:48 normalization > Generating airbyte_tables/hubspot_/ticket_pipelines.sql from ticket_pipelines 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/tickets_ab1.sql from tickets 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/tickets_ab2.sql from tickets 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/tickets_ab3.sql from tickets 2022-04-13 05:02:48 normalization > Generating airbyte_incremental/hubspot_/tickets.sql from tickets 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/workflows_ab1.sql from workflows 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/workflows_ab2.sql from workflows 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/workflows_ab3.sql from workflows 2022-04-13 05:02:48 normalization > Generating airbyte_tables/hubspot_/workflows.sql from workflows 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/campaigns_counters_ab1.sql from campaigns/counters 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/campaigns_counters_ab2.sql from campaigns/counters 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/campaigns_counters_ab3.sql from campaigns/counters 2022-04-13 05:02:48 normalization > Generating airbyte_tables/hubspot_/campaigns_counters.sql from campaigns/counters 2022-04-13 05:02:48 normalization > Ignoring stream 'contacts' from companies/contacts because properties list is empty 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/companies_properties_ab1.sql from companies/properties 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/companies_properties_ab2.sql from companies/properties 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/companies_properties_ab3.sql from companies/properties 2022-04-13 05:02:48 normalization > Generating airbyte_incremental/hubspot_/companies_properties.sql from companies/properties 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/contact_lists_filters_ab1.sql from contact_lists/filters 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/contact_lists_filters_ab2.sql from contact_lists/filters 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/contact_lists_filters_ab3.sql from contact_lists/filters 2022-04-13 05:02:48 normalization > Generating airbyte_incremental/hubspot_/contact_lists_filters.sql from contact_lists/filters 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/contact_lists_metaData_ab1.sql from contact_lists/metaData 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/contact_lists_metaData_ab2.sql from contact_lists/metaData 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/contact_lists_metaData_ab3.sql from contact_lists/metaData 2022-04-13 05:02:48 normalization > Generating airbyte_incremental/hubspot_/contact_lists_metaData.sql from contact_lists/metaData 2022-04-13 05:02:48 normalization > Ignoring stream 'companies' from contacts/companies because properties list is empty 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/contacts_properties_ab1.sql from contacts/properties 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/contacts_properties_ab2.sql from contacts/properties 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/contacts_properties_ab3.sql from contacts/properties 2022-04-13 05:02:48 normalization > Generating airbyte_incremental/hubspot_/contacts_properties.sql from contacts/properties 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/deal_pipelines_stages_ab1.sql from deal_pipelines/stages 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/deal_pipelines_stages_ab2.sql from deal_pipelines/stages 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/deal_pipelines_stages_ab3.sql from deal_pipelines/stages 2022-04-13 05:02:48 normalization > Generating airbyte_tables/hubspot_/deal_pipelines_stages.sql from deal_pipelines/stages 2022-04-13 05:02:48 normalization > Ignoring stream 'contacts' from deals/contacts because properties list is empty 2022-04-13 05:02:48 normalization > Ignoring stream 'companies' from deals/companies because properties list is empty 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/deals_dealstage_ab1.sql from deals/dealstage 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/deals_dealstage_ab2.sql from deals/dealstage 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/deals_dealstage_ab3.sql from deals/dealstage 2022-04-13 05:02:48 normalization > Generating airbyte_incremental/hubspot_/deals_dealstage.sql from deals/dealstage 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/deals_properties_ab1.sql from deals/properties 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/deals_properties_ab2.sql from deals/properties 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/deals_properties_ab3.sql from deals/properties 2022-04-13 05:02:48 normalization > Generating airbyte_incremental/hubspot_/deals_properties.sql from deals/properties 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/email_events_sentBy_ab1.sql from email_events/sentBy 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/email_events_sentBy_ab2.sql from email_events/sentBy 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/email_events_sentBy_ab3.sql from email_events/sentBy 2022-04-13 05:02:48 normalization > Generating airbyte_incremental/hubspot_/email_events_sentBy.sql from email_events/sentBy 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/email_events_browser_ab1.sql from email_events/browser 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/email_events_browser_ab2.sql from email_events/browser 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/email_events_browser_ab3.sql from email_events/browser 2022-04-13 05:02:48 normalization > Generating airbyte_incremental/hubspot_/email_events_browser.sql from email_events/browser 2022-04-13 05:02:48 normalization > Ignoring stream 'replyTo' from email_events/replyTo because properties list is empty 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/email_events_causedBy_ab1.sql from email_events/causedBy 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/email_events_causedBy_ab2.sql from email_events/causedBy 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/email_events_causedBy_ab3.sql from email_events/causedBy 2022-04-13 05:02:48 normalization > Generating airbyte_incremental/hubspot_/email_events_causedBy.sql from email_events/causedBy 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/email_events_location_ab1.sql from email_events/location 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/email_events_location_ab2.sql from email_events/location 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/email_events_location_ab3.sql from email_events/location 2022-04-13 05:02:48 normalization > Generating airbyte_incremental/hubspot_/email_events_location.sql from email_events/location 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/email_events_obsoletedBy_ab1.sql from email_events/obsoletedBy 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/email_events_obsoletedBy_ab2.sql from email_events/obsoletedBy 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/email_events_obsoletedBy_ab3.sql from email_events/obsoletedBy 2022-04-13 05:02:48 normalization > Generating airbyte_incremental/hubspot_/email_events_obsoletedBy.sql from email_events/obsoletedBy 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/engagements_metadata_ab1.sql from engagements/metadata 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/engagements_metadata_ab2.sql from engagements/metadata 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/engagements_metadata_ab3.sql from engagements/metadata 2022-04-13 05:02:48 normalization > Generating airbyte_incremental/hubspot_/engagements_metadata.sql from engagements/metadata 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/engagements_attachments_ab1.sql from engagements/attachments 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/engagements_attachments_ab2.sql from engagements/attachments 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/engagements_attachments_ab3.sql from engagements/attachments 2022-04-13 05:02:48 normalization > Generating airbyte_incremental/hubspot_/engagements_attachments.sql from engagements/attachments 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/engagements_associations_ab1.sql from engagements/associations 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/engagements_associations_ab2.sql from engagements/associations 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/engagements_associations_ab3.sql from engagements/associations 2022-04-13 05:02:48 normalization > Generating airbyte_incremental/hubspot_/engagements_associations.sql from engagements/associations 2022-04-13 05:02:48 normalization > Ignoring stream 'allAccessibleTeamIds' from engagements/allAccessibleTeamIds because properties list is empty 2022-04-13 05:02:48 normalization > Ignoring stream 'deals' from engagements_calls/deals because properties list is empty 2022-04-13 05:02:48 normalization > Ignoring stream 'tickets' from engagements_calls/tickets because properties list is empty 2022-04-13 05:02:48 normalization > Ignoring stream 'contacts' from engagements_calls/contacts because properties list is empty 2022-04-13 05:02:48 normalization > Ignoring stream 'companies' from engagements_calls/companies because properties list is empty 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/engagements_calls_properties_ab1.sql from engagements_calls/properties 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/engagements_calls_properties_ab2.sql from engagements_calls/properties 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/engagements_calls_properties_ab3.sql from engagements_calls/properties 2022-04-13 05:02:48 normalization > Generating airbyte_incremental/hubspot_/engagements_calls_properties.sql from engagements_calls/properties 2022-04-13 05:02:48 normalization > Ignoring stream 'deals' from engagements_emails/deals because properties list is empty 2022-04-13 05:02:48 normalization > Ignoring stream 'tickets' from engagements_emails/tickets because properties list is empty 2022-04-13 05:02:48 normalization > Ignoring stream 'contacts' from engagements_emails/contacts because properties list is empty 2022-04-13 05:02:48 normalization > Ignoring stream 'companies' from engagements_emails/companies because properties list is empty 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/engagements_emails_properties_ab1.sql from engagements_emails/properties 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/engagements_emails_properties_ab2.sql from engagements_emails/properties 2022-04-13 05:02:48 normalization > Generating airbyte_ctes/hubspot_/engagements_emails_properties_ab3.sql from engagements_emails/properties 2022-04-13 05:02:48 normalization > Generating airbyte_incremental/hubspot_/engagements_emails_properties.sql from engagements_emails/properties 2022-04-13 05:02:48 normalization > Ignoring stream 'deals' from engagements_meetings/deals because properties list is empty 2022-04-13 05:02:48 normalization > Ignoring stream 'tickets' from engagements_meetings/tickets because properties list is empty 2022-04-13 05:02:48 normalization > Ignoring stream 'contacts' from engagements_meetings/contacts because properties list is empty 2022-04-13 05:02:48 normalization > Ignoring stream 'companies' from engagements_meetings/companies because properties list is empty 2022-04-13 05:02:49 normalization > Generating airbyte_ctes/hubspot_/engagements_meetings_properties_ab1.sql from engagements_meetings/properties 2022-04-13 05:02:49 normalization > Generating airbyte_ctes/hubspot_/engagements_meetings_properties_ab2.sql from engagements_meetings/properties 2022-04-13 05:02:49 normalization > Generating airbyte_ctes/hubspot_/engagements_meetings_properties_ab3.sql from engagements_meetings/properties 2022-04-13 05:02:49 normalization > Generating airbyte_incremental/hubspot_/engagements_meetings_properties.sql from engagements_meetings/properties 2022-04-13 05:02:49 normalization > Ignoring stream 'deals' from engagements_notes/deals because properties list is empty 2022-04-13 05:02:49 normalization > Ignoring stream 'tickets' from engagements_notes/tickets because properties list is empty 2022-04-13 05:02:49 normalization > Ignoring stream 'contacts' from engagements_notes/contacts because properties list is empty 2022-04-13 05:02:49 normalization > Ignoring stream 'companies' from engagements_notes/companies because properties list is empty 2022-04-13 05:02:49 normalization > Generating airbyte_ctes/hubspot_/engagements_notes_properties_ab1.sql from engagements_notes/properties 2022-04-13 05:02:49 normalization > Generating airbyte_ctes/hubspot_/engagements_notes_properties_ab2.sql from engagements_notes/properties 2022-04-13 05:02:49 normalization > Generating airbyte_ctes/hubspot_/engagements_notes_properties_ab3.sql from engagements_notes/properties 2022-04-13 05:02:49 normalization > Generating airbyte_incremental/hubspot_/engagements_notes_properties.sql from engagements_notes/properties 2022-04-13 05:02:49 normalization > Ignoring stream 'deals' from engagements_tasks/deals because properties list is empty 2022-04-13 05:02:49 normalization > Ignoring stream 'tickets' from engagements_tasks/tickets because properties list is empty 2022-04-13 05:02:49 normalization > Ignoring stream 'contacts' from engagements_tasks/contacts because properties list is empty 2022-04-13 05:02:49 normalization > Ignoring stream 'companies' from engagements_tasks/companies because properties list is empty 2022-04-13 05:02:49 normalization > Generating airbyte_ctes/hubspot_/engagements_tasks_properties_ab1.sql from engagements_tasks/properties 2022-04-13 05:02:49 normalization > Generating airbyte_ctes/hubspot_/engagements_tasks_properties_ab2.sql from engagements_tasks/properties 2022-04-13 05:02:49 normalization > Generating airbyte_ctes/hubspot_/engagements_tasks_properties_ab3.sql from engagements_tasks/properties 2022-04-13 05:02:49 normalization > Generating airbyte_incremental/hubspot_/engagements_tasks_properties.sql from engagements_tasks/properties 2022-04-13 05:02:49 normalization > Generating airbyte_ctes/hubspot_/form_submissions_values_ab1.sql from form_submissions/values 2022-04-13 05:02:49 normalization > Generating airbyte_ctes/hubspot_/form_submissions_values_ab2.sql from form_submissions/values 2022-04-13 05:02:49 normalization > Generating airbyte_ctes/hubspot_/form_submissions_values_ab3.sql from form_submissions/values 2022-04-13 05:02:49 normalization > Generating airbyte_tables/hubspot_/form_submissions_values.sql from form_submissions/values 2022-04-13 05:02:49 normalization > Generating airbyte_ctes/hubspot_/forms_properties_ab1.sql from forms/properties 2022-04-13 05:02:49 normalization > Generating airbyte_ctes/hubspot_/forms_properties_ab2.sql from forms/properties 2022-04-13 05:02:49 normalization > Generating airbyte_ctes/hubspot_/forms_properties_ab3.sql from forms/properties 2022-04-13 05:02:49 normalization > Generating airbyte_tables/hubspot_/forms_properties.sql from forms/properties 2022-04-13 05:02:49 normalization > Generating airbyte_ctes/hubspot_/forms_fieldGroups_ab1.sql from forms/fieldGroups 2022-04-13 05:02:49 normalization > Generating airbyte_ctes/hubspot_/forms_fieldGroups_ab2.sql from forms/fieldGroups 2022-04-13 05:02:49 normalization > Generating airbyte_ctes/hubspot_/forms_fieldGroups_ab3.sql from forms/fieldGroups 2022-04-13 05:02:49 normalization > Generating airbyte_tables/hubspot_/forms_fieldGroups.sql from forms/fieldGroups 2022-04-13 05:02:49 normalization > Generating airbyte_ctes/hubspot_/forms_configuration_ab1.sql from forms/configuration 2022-04-13 05:02:49 normalization > Generating airbyte_ctes/hubspot_/forms_configuration_ab2.sql from forms/configuration 2022-04-13 05:02:49 normalization > Generating airbyte_ctes/hubspot_/forms_configuration_ab3.sql from forms/configuration 2022-04-13 05:02:49 normalization > Generating airbyte_tables/hubspot_/forms_configuration.sql from forms/configuration 2022-04-13 05:02:49 normalization > Generating airbyte_ctes/hubspot_/forms_displayOptions_ab1.sql from forms/displayOptions 2022-04-13 05:02:49 normalization > Generating airbyte_ctes/hubspot_/forms_displayOptions_ab2.sql from forms/displayOptions 2022-04-13 05:02:49 normalization > Generating airbyte_ctes/hubspot_/forms_displayOptions_ab3.sql from forms/displayOptions 2022-04-13 05:02:49 normalization > Generating airbyte_tables/hubspot_/forms_displayOptions.sql from forms/displayOptions 2022-04-13 05:02:49 normalization > Generating airbyte_ctes/hubspot_/line_items_properties_ab1.sql from line_items/properties 2022-04-13 05:02:49 normalization > Generating airbyte_ctes/hubspot_/line_items_properties_ab2.sql from line_items/properties 2022-04-13 05:02:49 normalization > Generating airbyte_ctes/hubspot_/line_items_properties_ab3.sql from line_items/properties 2022-04-13 05:02:49 normalization > Generating airbyte_incremental/hubspot_/line_items_properties.sql from line_items/properties 2022-04-13 05:02:49 normalization > Generating airbyte_ctes/hubspot_/marketing_emails_stats_ab1.sql from marketing_emails/stats 2022-04-13 05:02:49 normalization > Generating airbyte_ctes/hubspot_/marketing_emails_stats_ab2.sql from marketing_emails/stats 2022-04-13 05:02:49 normalization > Generating airbyte_ctes/hubspot_/marketing_emails_stats_ab3.sql from marketing_emails/stats 2022-04-13 05:02:49 normalization > Generating airbyte_tables/hubspot_/marketing_emails_stats.sql from marketing_emails/stats 2022-04-13 05:02:49 normalization > Ignoring stream 'vidsExcluded' from marketing_emails/vidsExcluded because properties list is empty 2022-04-13 05:02:49 normalization > Ignoring stream 'vidsIncluded' from marketing_emails/vidsIncluded because properties list is empty 2022-04-13 05:02:49 normalization > Ignoring stream 'allEmailCampaignIds' from marketing_emails/allEmailCampaignIds because properties list is empty 2022-04-13 05:02:49 normalization > Ignoring stream 'mailingListsExcluded' from marketing_emails/mailingListsExcluded because properties list is empty 2022-04-13 05:02:49 normalization > Ignoring stream 'mailingListsIncluded' from marketing_emails/mailingListsIncluded because properties list is empty 2022-04-13 05:02:49 normalization > Generating airbyte_ctes/hubspot_/owners_teams_ab1.sql from owners/teams 2022-04-13 05:02:49 normalization > Generating airbyte_ctes/hubspot_/owners_teams_ab2.sql from owners/teams 2022-04-13 05:02:49 normalization > Generating airbyte_ctes/hubspot_/owners_teams_ab3.sql from owners/teams 2022-04-13 05:02:49 normalization > Generating airbyte_tables/hubspot_/owners_teams.sql from owners/teams 2022-04-13 05:02:49 normalization > Generating airbyte_ctes/hubspot_/products_properties_ab1.sql from products/properties 2022-04-13 05:02:49 normalization > Generating airbyte_ctes/hubspot_/products_properties_ab2.sql from products/properties 2022-04-13 05:02:49 normalization > Generating airbyte_ctes/hubspot_/products_properties_ab3.sql from products/properties 2022-04-13 05:02:49 normalization > Generating airbyte_incremental/hubspot_/products_properties.sql from products/properties 2022-04-13 05:02:49 normalization > Generating airbyte_ctes/hubspot_/quotes_properties_ab1.sql from quotes/properties 2022-04-13 05:02:49 normalization > Generating airbyte_ctes/hubspot_/quotes_properties_ab2.sql from quotes/properties 2022-04-13 05:02:49 normalization > Generating airbyte_ctes/hubspot_/quotes_properties_ab3.sql from quotes/properties 2022-04-13 05:02:49 normalization > Generating airbyte_incremental/hubspot_/quotes_properties.sql from quotes/properties 2022-04-13 05:02:49 normalization > Generating airbyte_ctes/hubspot_/subscription_changes_changes_ab1.sql from subscription_changes/changes 2022-04-13 05:02:49 normalization > Generating airbyte_ctes/hubspot_/subscription_changes_changes_ab2.sql from subscription_changes/changes 2022-04-13 05:02:49 normalization > Generating airbyte_ctes/hubspot_/subscription_changes_changes_ab3.sql from subscription_changes/changes 2022-04-13 05:02:49 normalization > Generating airbyte_incremental/hubspot_/subscription_changes_changes.sql from subscription_changes/changes 2022-04-13 05:02:49 normalization > Generating airbyte_ctes/hubspot_/ticket_pipelines_stages_ab1.sql from ticket_pipelines/stages 2022-04-13 05:02:49 normalization > Generating airbyte_ctes/hubspot_/ticket_pipelines_stages_ab2.sql from ticket_pipelines/stages 2022-04-13 05:02:49 normalization > Generating airbyte_ctes/hubspot_/ticket_pipelines_stages_ab3.sql from ticket_pipelines/stages 2022-04-13 05:02:49 normalization > Generating airbyte_tables/hubspot_/ticket_pipelines_stages.sql from ticket_pipelines/stages 2022-04-13 05:02:49 normalization > Ignoring stream 'deals' from tickets/deals because properties list is empty 2022-04-13 05:02:49 normalization > Ignoring stream 'contacts' from tickets/contacts because properties list is empty 2022-04-13 05:02:49 normalization > Ignoring stream 'companies' from tickets/companies because properties list is empty 2022-04-13 05:02:49 normalization > Generating airbyte_ctes/hubspot_/tickets_properties_ab1.sql from tickets/properties 2022-04-13 05:02:49 normalization > Generating airbyte_ctes/hubspot_/tickets_properties_ab2.sql from tickets/properties 2022-04-13 05:02:49 normalization > Generating airbyte_ctes/hubspot_/tickets_properties_ab3.sql from tickets/properties 2022-04-13 05:02:49 normalization > Generating airbyte_incremental/hubspot_/tickets_properties.sql from tickets/properties 2022-04-13 05:02:49 normalization > Ignoring stream 'personaTagIds' from workflows/personaTagIds because properties list is empty 2022-04-13 05:02:49 normalization > Generating airbyte_ctes/hubspot_/workflows_contactListIds_ab1.sql from workflows/contactListIds 2022-04-13 05:02:49 normalization > Generating airbyte_ctes/hubspot_/workflows_contactListIds_ab2.sql from workflows/contactListIds 2022-04-13 05:02:49 normalization > Generating airbyte_ctes/hubspot_/workflows_contactListIds_ab3.sql from workflows/contactListIds 2022-04-13 05:02:49 normalization > Generating airbyte_tables/hubspot_/workflows_contactListIds.sql from workflows/contactListIds 2022-04-13 05:02:49 normalization > Generating airbyte_ctes/hubspot_/deal_pipelines_stages_metadata_ab1.sql from deal_pipelines/stages/metadata 2022-04-13 05:02:49 normalization > Generating airbyte_ctes/hubspot_/deal_pipelines_stages_metadata_ab2.sql from deal_pipelines/stages/metadata 2022-04-13 05:02:49 normalization > Generating airbyte_ctes/hubspot_/deal_pipelines_stages_metadata_ab3.sql from deal_pipelines/stages/metadata 2022-04-13 05:02:49 normalization > Generating airbyte_tables/hubspot_/deal_pipelines_stages_metadata.sql from deal_pipelines/stages/metadata 2022-04-13 05:02:49 normalization > Ignoring stream 'version' from email_events/browser/version because properties list is empty 2022-04-13 05:02:49 normalization > Generating airbyte_ctes/hubspot_/engagements_metadata_cc_ab1.sql from engagements/metadata/cc 2022-04-13 05:02:49 normalization > Generating airbyte_ctes/hubspot_/engagements_metadata_cc_ab2.sql from engagements/metadata/cc 2022-04-13 05:02:49 normalization > Generating airbyte_ctes/hubspot_/engagements_metadata_cc_ab3.sql from engagements/metadata/cc 2022-04-13 05:02:49 normalization > Generating airbyte_incremental/hubspot_/engagements_metadata_cc.sql from engagements/metadata/cc 2022-04-13 05:02:49 normalization > Generating airbyte_ctes/hubspot_/engagements_metadata_to_ab1.sql from engagements/metadata/to 2022-04-13 05:02:49 normalization > Generating airbyte_ctes/hubspot_/engagements_metadata_to_ab2.sql from engagements/metadata/to 2022-04-13 05:02:49 normalization > Generating airbyte_ctes/hubspot_/engagements_metadata_to_ab3.sql from engagements/metadata/to 2022-04-13 05:02:49 normalization > Generating airbyte_incremental/hubspot_/engagements_metadata_to.sql from engagements/metadata/to 2022-04-13 05:02:49 normalization > Generating airbyte_ctes/hubspot_/engagements_metadata_bcc_ab1.sql from engagements/metadata/bcc 2022-04-13 05:02:49 normalization > Generating airbyte_ctes/hubspot_/engagements_metadata_bcc_ab2.sql from engagements/metadata/bcc 2022-04-13 05:02:49 normalization > Generating airbyte_ctes/hubspot_/engagements_metadata_bcc_ab3.sql from engagements/metadata/bcc 2022-04-13 05:02:49 normalization > Generating airbyte_incremental/hubspot_/engagements_metadata_bcc.sql from engagements/metadata/bcc 2022-04-13 05:02:49 normalization > Generating airbyte_ctes/hubspot_/engagements_metadata_from_ab1.sql from engagements/metadata/from 2022-04-13 05:02:49 normalization > Generating airbyte_ctes/hubspot_/engagements_metadata_from_ab2.sql from engagements/metadata/from 2022-04-13 05:02:49 normalization > Generating airbyte_ctes/hubspot_/engagements_metadata_from_ab3.sql from engagements/metadata/from 2022-04-13 05:02:49 normalization > Generating airbyte_incremental/hubspot_/engagements_metadata_from.sql from engagements/metadata/from 2022-04-13 05:02:49 normalization > Generating airbyte_ctes/hubspot_/engagements_metadata_sender_ab1.sql from engagements/metadata/sender 2022-04-13 05:02:49 normalization > Generating airbyte_ctes/hubspot_/engagements_metadata_sender_ab2.sql from engagements/metadata/sender 2022-04-13 05:02:49 normalization > Generating airbyte_ctes/hubspot_/engagements_metadata_sender_ab3.sql from engagements/metadata/sender 2022-04-13 05:02:49 normalization > Generating airbyte_incremental/hubspot_/engagements_metadata_sender.sql from engagements/metadata/sender 2022-04-13 05:02:49 normalization > Ignoring stream 'reminders' from engagements/metadata/reminders because properties list is empty 2022-04-13 05:02:49 normalization > Ignoring stream 'dealIds' from engagements/associations/dealIds because properties list is empty 2022-04-13 05:02:49 normalization > Ignoring stream 'ownerIds' from engagements/associations/ownerIds because properties list is empty 2022-04-13 05:02:49 normalization > Ignoring stream 'ticketIds' from engagements/associations/ticketIds because properties list is empty 2022-04-13 05:02:49 normalization > Ignoring stream 'companyIds' from engagements/associations/companyIds because properties list is empty 2022-04-13 05:02:49 normalization > Ignoring stream 'contactIds' from engagements/associations/contactIds because properties list is empty 2022-04-13 05:02:49 normalization > Ignoring stream 'workflowIds' from engagements/associations/workflowIds because properties list is empty 2022-04-13 05:02:49 normalization > Generating airbyte_ctes/hubspot_/forms_fieldGroups_fields_ab1.sql from forms/fieldGroups/fields 2022-04-13 05:02:49 normalization > Generating airbyte_ctes/hubspot_/forms_fieldGroups_fields_ab2.sql from forms/fieldGroups/fields 2022-04-13 05:02:49 normalization > Generating airbyte_ctes/hubspot_/forms_fieldGroups_fields_ab3.sql from forms/fieldGroups/fields 2022-04-13 05:02:49 normalization > Generating airbyte_tables/hubspot_/forms_fieldGroups_fields.sql from forms/fieldGroups/fields 2022-04-13 05:02:49 normalization > Generating airbyte_ctes/hubspot_/forms_configuration_postSubmitAction_ab1.sql from forms/configuration/postSubmitAction 2022-04-13 05:02:49 normalization > Generating airbyte_ctes/hubspot_/forms_configuration_postSubmitAction_ab2.sql from forms/configuration/postSubmitAction 2022-04-13 05:02:49 normalization > Generating airbyte_ctes/hubspot_/forms_configuration_postSubmitAction_ab3.sql from forms/configuration/postSubmitAction 2022-04-13 05:02:49 normalization > Generating airbyte_tables/hubspot_/forms_configuration_postSubmitAction.sql from forms/configuration/postSubmitAction 2022-04-13 05:02:49 normalization > Generating airbyte_ctes/hubspot_/forms_displayOptions_style_ab1.sql from forms/displayOptions/style 2022-04-13 05:02:49 normalization > Generating airbyte_ctes/hubspot_/forms_displayOptions_style_ab2.sql from forms/displayOptions/style 2022-04-13 05:02:49 normalization > Generating airbyte_ctes/hubspot_/forms_displayOptions_style_ab3.sql from forms/displayOptions/style 2022-04-13 05:02:49 normalization > Generating airbyte_tables/hubspot_/forms_displayOptions_style.sql from forms/displayOptions/style 2022-04-13 05:02:49 normalization > Generating airbyte_ctes/hubspot_/marketing_emails_stats_ratios_ab1.sql from marketing_emails/stats/ratios 2022-04-13 05:02:49 normalization > Generating airbyte_ctes/hubspot_/marketing_emails_stats_ratios_ab2.sql from marketing_emails/stats/ratios 2022-04-13 05:02:49 normalization > Generating airbyte_ctes/hubspot_/marketing_emails_stats_ratios_ab3.sql from marketing_emails/stats/ratios 2022-04-13 05:02:49 normalization > Generating airbyte_tables/hubspot_/marketing_emails_stats_ratios.sql from marketing_emails/stats/ratios 2022-04-13 05:02:49 normalization > Generating airbyte_ctes/hubspot_/marketing_emails_stats_counters_ab1.sql from marketing_emails/stats/counters 2022-04-13 05:02:49 normalization > Generating airbyte_ctes/hubspot_/marketing_emails_stats_counters_ab2.sql from marketing_emails/stats/counters 2022-04-13 05:02:49 normalization > Generating airbyte_ctes/hubspot_/marketing_emails_stats_counters_ab3.sql from marketing_emails/stats/counters 2022-04-13 05:02:49 normalization > Generating airbyte_tables/hubspot_/marketing_emails_stats_counters.sql from marketing_emails/stats/counters 2022-04-13 05:02:49 normalization > Generating airbyte_ctes/hubspot_/marketing_emails_stats_deviceBreakdown_ab1.sql from marketing_emails/stats/deviceBreakdown 2022-04-13 05:02:49 normalization > Generating airbyte_ctes/hubspot_/marketing_emails_stats_deviceBreakdown_ab2.sql from marketing_emails/stats/deviceBreakdown 2022-04-13 05:02:49 normalization > Generating airbyte_ctes/hubspot_/marketing_emails_stats_deviceBreakdown_ab3.sql from marketing_emails/stats/deviceBreakdown 2022-04-13 05:02:49 normalization > Generating airbyte_tables/hubspot_/marketing_emails_stats_deviceBreakdown.sql from marketing_emails/stats/deviceBreakdown 2022-04-13 05:02:49 normalization > Generating airbyte_ctes/hubspot_/subscription_changes_changes_causedByEvent_ab1.sql from subscription_changes/changes/causedByEvent 2022-04-13 05:02:49 normalization > Generating airbyte_ctes/hubspot_/subscription_changes_changes_causedByEvent_ab2.sql from subscription_changes/changes/causedByEvent 2022-04-13 05:02:49 normalization > Generating airbyte_ctes/hubspot_/subscription_changes_changes_causedByEvent_ab3.sql from subscription_changes/changes/causedByEvent 2022-04-13 05:02:49 normalization > Generating airbyte_incremental/hubspot_/subscription_changes_changes_causedByEvent.sql from subscription_changes/changes/causedByEvent 2022-04-13 05:02:49 normalization > Generating airbyte_ctes/hubspot_/ticket_pipelines_stages_metadata_ab1.sql from ticket_pipelines/stages/metadata 2022-04-13 05:02:49 normalization > Generating airbyte_ctes/hubspot_/ticket_pipelines_stages_metadata_ab2.sql from ticket_pipelines/stages/metadata 2022-04-13 05:02:49 normalization > Generating airbyte_ctes/hubspot_/ticket_pipelines_stages_metadata_ab3.sql from ticket_pipelines/stages/metadata 2022-04-13 05:02:49 normalization > Generating airbyte_tables/hubspot_/ticket_pipelines_stages_metadata.sql from ticket_pipelines/stages/metadata 2022-04-13 05:02:49 normalization > Ignoring stream 'steps' from workflows/contactListIds/steps because properties list is empty 2022-04-13 05:02:49 normalization > Generating airbyte_ctes/hubspot_/marketing_emails_stats_deviceBreakdown_open_device_type_ab1.sql from marketing_emails/stats/deviceBreakdown/open_device_type 2022-04-13 05:02:49 normalization > Generating airbyte_ctes/hubspot_/marketing_emails_stats_deviceBreakdown_open_device_type_ab2.sql from marketing_emails/stats/deviceBreakdown/open_device_type 2022-04-13 05:02:49 normalization > Generating airbyte_ctes/hubspot_/marketing_emails_stats_deviceBreakdown_open_device_type_ab3.sql from marketing_emails/stats/deviceBreakdown/open_device_type 2022-04-13 05:02:49 normalization > Generating airbyte_tables/hubspot_/marketing_emails_stats_deviceBreakdown_open_device_type.sql from marketing_emails/stats/deviceBreakdown/open_device_type 2022-04-13 05:02:49 normalization > Generating airbyte_ctes/hubspot_/marketing_emails_stats_deviceBreakdown_click_device_type_ab1.sql from marketing_emails/stats/deviceBreakdown/click_device_type 2022-04-13 05:02:49 normalization > Generating airbyte_ctes/hubspot_/marketing_emails_stats_deviceBreakdown_click_device_type_ab2.sql from marketing_emails/stats/deviceBreakdown/click_device_type 2022-04-13 05:02:49 normalization > Generating airbyte_ctes/hubspot_/marketing_emails_stats_deviceBreakdown_click_device_type_ab3.sql from marketing_emails/stats/deviceBreakdown/click_device_type 2022-04-13 05:02:49 normalization > Generating airbyte_tables/hubspot_/marketing_emails_stats_deviceBreakdown_click_device_type.sql from marketing_emails/stats/deviceBreakdown/click_device_type 2022-04-13 05:02:49 normalization > detected no config file for ssh, assuming ssh is off. 2022-04-13 05:02:51 normalization > [--event-buffer-size EVENT_BUFFER_SIZE] 2022-04-13 05:02:51 normalization > --event-buffer-size EVENT_BUFFER_SIZE 2022-04-13 05:02:51 normalization > 2022-04-13 05:02:51 normalization > DBT >=1.0.0 detected; using 10K event buffer size 2022-04-13 05:02:51 normalization > 2022-04-13 05:02:53 normalization > 05:02:53 Running with dbt=1.0.0 2022-04-13 05:02:53 normalization > 05:02:53 Partial parse save file not found. Starting full parse. 2022-04-13 05:03:00 normalization > 05:03:00 [WARNING]: Configuration paths exist in your dbt_project.yml file which do not apply to any resources. 2022-04-13 05:03:00 normalization > There are 1 unused configuration paths: 2022-04-13 05:03:00 normalization > - models.airbyte_utils.generated.airbyte_views 2022-04-13 05:03:00 normalization > 2022-04-13 05:03:00 normalization > 05:03:00 Found 308 models, 0 tests, 0 snapshots, 0 analyses, 537 macros, 0 operations, 0 seed files, 26 sources, 0 exposures, 0 metrics 2022-04-13 05:03:00 normalization > 05:03:00 2022-04-13 05:03:00 normalization > 05:03:00 Concurrency: 8 threads (target='prod') 2022-04-13 05:03:00 normalization > 05:03:00 2022-04-13 05:03:03 normalization > 05:03:03 1 of 77 START table model hubspot_.campaigns............................................................................ [RUN] 2022-04-13 05:03:03 normalization > 05:03:03 2 of 77 START table model hubspot_.contacts_list_memberships............................................................ [RUN] 2022-04-13 05:03:03 normalization > 05:03:03 3 of 77 START table model hubspot_.deal_pipelines....................................................................... [RUN] 2022-04-13 05:03:04 normalization > 05:03:04 4 of 77 START incremental model hubspot_.engagements_calls.............................................................. [RUN] 2022-04-13 05:03:04 normalization > 05:03:04 5 of 77 START incremental model hubspot_.deals.......................................................................... [RUN] 2022-04-13 05:03:04 normalization > 05:03:04 6 of 77 START incremental model hubspot_.engagements_emails............................................................. [RUN] 2022-04-13 05:03:04 normalization > 05:03:04 7 of 77 START incremental model hubspot_.contacts....................................................................... [RUN] 2022-04-13 05:03:04 normalization > 05:03:04 8 of 77 START incremental model hubspot_.email_events................................................................... [RUN] 2022-04-13 05:03:06 normalization > 05:03:06 1 of 77 OK created table model hubspot_.campaigns....................................................................... [CREATE TABLE (40.0 rows, 21.5 KB processed) in 2.51s] 2022-04-13 05:03:06 normalization > 05:03:06 9 of 77 START incremental model hubspot_.engagements.................................................................... [RUN] 2022-04-13 05:03:06 normalization > 05:03:06 3 of 77 OK created table model hubspot_.deal_pipelines.................................................................. [CREATE TABLE (3.0 rows, 4.7 KB processed) in 2.42s] 2022-04-13 05:03:06 normalization > 05:03:06 10 of 77 START incremental model hubspot_.companies..................................................................... [RUN] 2022-04-13 05:03:13 normalization > 05:03:13 2 of 77 OK created table model hubspot_.contacts_list_memberships....................................................... [CREATE TABLE (4.8m rows, 813.9 MB processed) in 10.13s] 2022-04-13 05:03:13 normalization > 05:03:13 11 of 77 START table model hubspot_.form_submissions.................................................................... [RUN] 2022-04-13 05:02:44 INFO i.a.w.DefaultReplicationWorker(lambda$getDestinationOutputRunnable$6):349 - State in DefaultReplicationWorker from destination: io.airbyte.protocol.models.AirbyteMessage@3872da77[type=STATE,log=,spec=,connectionStatus=,catalog=,record=,state=io.airbyte.protocol.models.AirbyteStateMessage@401efd2d[data={"companies":{"updatedAt":"2022-04-12T23:05:00.608000+00:00"},"contact_lists":{"updatedAt":1644572434910},"contacts":{"updatedAt":"2022-04-12T23:16:21.089000+00:00"},"deals":{"updatedAt":"2022-04-12T23:55:26.441000+00:00"},"email_events":{"created":1649801754048},"engagements":{"lastUpdated":1649809430087},"engagements_calls":{"updatedAt":"2022-04-12T19:17:18.409000+00:00"},"engagements_emails":{"updatedAt":"2022-04-13T01:01:23.096000+00:00"},"engagements_meetings":{"updatedAt":"2022-04-12T18:42:03.842000+00:00"},"engagements_notes":{"updatedAt":"2022-04-12T22:23:08.627000+00:00"},"engagements_tasks":{"updatedAt":"2022-04-13T01:08:33.238000+00:00"},"line_items":null,"products":null,"property_history":null,"quotes":null,"subscription_changes":{"timestamp":1649780987305},"tickets":{"updatedAt":"2022-03-24T14:04:42.952000+00:00"}},additionalProperties={}],additionalProperties={}] 2022-04-13 05:02:45 INFO i.a.w.p.KubePodProcess(close):695 - (pod: app-airbyte / destination-bigquery-sync-90-2-fcrth) - Closed all resources for pod 2022-04-13 05:02:45 INFO i.a.w.DefaultReplicationWorker(run):165 - Source and destination threads complete. 2022-04-13 05:02:45 INFO i.a.w.DefaultReplicationWorker(run):228 - sync summary: io.airbyte.config.ReplicationAttemptSummary@1ed0020c[status=completed,recordsSynced=5930021,bytesSynced=7392767278,startTime=1649804854396,endTime=1649826165059,totalStats=io.airbyte.config.SyncStats@77d249c5[recordsEmitted=5930021,bytesEmitted=7392767278,stateMessagesEmitted=2257,recordsCommitted=5930021],streamStats=[io.airbyte.config.StreamSyncStats@58c259c0[streamName=form_submissions,stats=io.airbyte.config.SyncStats@69d638f[recordsEmitted=59336,bytesEmitted=45912578,stateMessagesEmitted=,recordsCommitted=59336]], io.airbyte.config.StreamSyncStats@18c3d132[streamName=tickets,stats=io.airbyte.config.SyncStats@7d3a2f8e[recordsEmitted=85,bytesEmitted=297905,stateMessagesEmitted=,recordsCommitted=85]], io.airbyte.config.StreamSyncStats@37fc75b0[streamName=marketing_emails,stats=io.airbyte.config.SyncStats@5a10f9db[recordsEmitted=49,bytesEmitted=286877,stateMessagesEmitted=,recordsCommitted=49]], io.airbyte.config.StreamSyncStats@5c5ce9ea[streamName=ticket_pipelines,stats=io.airbyte.config.SyncStats@70b6ebb0[recordsEmitted=1,bytesEmitted=1942,stateMessagesEmitted=,recordsCommitted=1]], io.airbyte.config.StreamSyncStats@24b341e3[streamName=contact_lists,stats=io.airbyte.config.SyncStats@7930ba8f[recordsEmitted=81,bytesEmitted=104944,stateMessagesEmitted=,recordsCommitted=81]], io.airbyte.config.StreamSyncStats@42181ffa[streamName=subscription_changes,stats=io.airbyte.config.SyncStats@5349762[recordsEmitted=1868,bytesEmitted=717980,stateMessagesEmitted=,recordsCommitted=1868]], io.airbyte.config.StreamSyncStats@3b36627e[streamName=owners,stats=io.airbyte.config.SyncStats@472e4355[recordsEmitted=37,bytesEmitted=8709,stateMessagesEmitted=,recordsCommitted=37]], io.airbyte.config.StreamSyncStats@454b7385[streamName=workflows,stats=io.airbyte.config.SyncStats@64e573c9[recordsEmitted=84,bytesEmitted=92138,stateMessagesEmitted=,recordsCommitted=84]], io.airbyte.config.StreamSyncStats@6c48c8b9[streamName=email_events,stats=io.airbyte.config.SyncStats@59c90a8e[recordsEmitted=217977,bytesEmitted=110559208,stateMessagesEmitted=,recordsCommitted=217977]], io.airbyte.config.StreamSyncStats@47008d69[streamName=engagements_calls,stats=io.airbyte.config.SyncStats@834c57b[recordsEmitted=66760,bytesEmitted=179098542,stateMessagesEmitted=,recordsCommitted=66760]], io.airbyte.config.StreamSyncStats@2293c9c4[streamName=engagements_notes,stats=io.airbyte.config.SyncStats@331f3a62[recordsEmitted=76119,bytesEmitted=239572758,stateMessagesEmitted=,recordsCommitted=76119]], io.airbyte.config.StreamSyncStats@703782ad[streamName=companies,stats=io.airbyte.config.SyncStats@5e869ecd[recordsEmitted=15247,bytesEmitted=97840112,stateMessagesEmitted=,recordsCommitted=15247]], io.airbyte.config.StreamSyncStats@6267a130[streamName=campaigns,stats=io.airbyte.config.SyncStats@28e14b34[recordsEmitted=40,bytesEmitted=20112,stateMessagesEmitted=,recordsCommitted=40]], io.airbyte.config.StreamSyncStats@648f866f[streamName=contacts_list_memberships,stats=io.airbyte.config.SyncStats@e950cc5[recordsEmitted=4842688,bytesEmitted=620958160,stateMessagesEmitted=,recordsCommitted=4842688]], io.airbyte.config.StreamSyncStats@51a44206[streamName=deals,stats=io.airbyte.config.SyncStats@733e1bed[recordsEmitted=68433,bytesEmitted=713166409,stateMessagesEmitted=,recordsCommitted=68433]], io.airbyte.config.StreamSyncStats@6b9a571b[streamName=engagements_tasks,stats=io.airbyte.config.SyncStats@4dcf8d89[recordsEmitted=66478,bytesEmitted=146280077,stateMessagesEmitted=,recordsCommitted=66478]], io.airbyte.config.StreamSyncStats@3e085244[streamName=engagements,stats=io.airbyte.config.SyncStats@3d6ad71b[recordsEmitted=323661,bytesEmitted=2139632199,stateMessagesEmitted=,recordsCommitted=323661]], io.airbyte.config.StreamSyncStats@4f17d22[streamName=engagements_emails,stats=io.airbyte.config.SyncStats@35e30bf0[recordsEmitted=108209,bytesEmitted=2006644343,stateMessagesEmitted=,recordsCommitted=108209]], io.airbyte.config.StreamSyncStats@4985e57a[streamName=deal_pipelines,stats=io.airbyte.config.SyncStats@223c215e[recordsEmitted=3,bytesEmitted=4688,stateMessagesEmitted=,recordsCommitted=3]], 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io.airbyte.config.State@3a5579d2[state={"companies":{"updatedAt":"2022-04-12T23:05:00.608000+00:00"},"contact_lists":{"updatedAt":1644572434910},"contacts":{"updatedAt":"2022-04-12T23:16:21.089000+00:00"},"deals":{"updatedAt":"2022-04-12T23:55:26.441000+00:00"},"email_events":{"created":1649801754048},"engagements":{"lastUpdated":1649809430087},"engagements_calls":{"updatedAt":"2022-04-12T19:17:18.409000+00:00"},"engagements_emails":{"updatedAt":"2022-04-13T01:01:23.096000+00:00"},"engagements_meetings":{"updatedAt":"2022-04-12T18:42:03.842000+00:00"},"engagements_notes":{"updatedAt":"2022-04-12T22:23:08.627000+00:00"},"engagements_tasks":{"updatedAt":"2022-04-13T01:08:33.238000+00:00"},"line_items":null,"products":null,"property_history":null,"quotes":null,"subscription_changes":{"timestamp":1649780987305},"tickets":{"updatedAt":"2022-03-24T14:04:42.952000+00:00"}}] 2022-04-13 05:02:45 INFO i.a.w.t.TemporalAttemptExecution(get):107 - Cloud storage job log path: /workspace/90/2/logs.log 2022-04-13 05:02:45 INFO i.a.w.t.TemporalAttemptExecution(get):110 - Executing worker wrapper. Airbyte version: 0.35.64-alpha 2022-04-13 05:02:45 INFO i.a.w.DefaultNormalizationWorker(run):46 - Running normalization. 2022-04-13 05:02:45 INFO i.a.w.n.DefaultNormalizationRunner(runProcess):122 - Running with normalization version: airbyte/normalization:0.1.74 2022-04-13 05:02:45 INFO i.a.w.p.KubeProcessFactory(create):113 - Attempting to start pod = normalization-sync-90-2-pboqy 2022-04-13 05:02:45 INFO i.a.w.p.KubeProcessFactory(create):116 - normalization-sync-90-2-pboqy stdoutLocalPort = 9018 2022-04-13 05:02:45 INFO i.a.w.p.KubeProcessFactory(create):119 - normalization-sync-90-2-pboqy stderrLocalPort = 9019 2022-04-13 05:02:45 INFO i.a.w.p.KubePodProcess(lambda$setupStdOutAndStdErrListeners$9):565 - Creating stdout socket server... 2022-04-13 05:02:45 INFO i.a.w.p.KubePodProcess(lambda$setupStdOutAndStdErrListeners$10):583 - Creating stderr socket server... 2022-04-13 05:02:45 INFO i.a.w.p.KubePodProcess():503 - Creating pod... 2022-04-13 05:02:45 INFO i.a.w.p.KubePodProcess(waitForInitPodToRun):305 - Waiting for init container to be ready before copying files... 2022-04-13 05:02:45 INFO i.a.w.p.KubePodProcess(waitForInitPodToRun):318 - Init container present.. 2022-04-13 05:02:46 INFO i.a.w.p.KubePodProcess(waitForInitPodToRun):321 - Init container ready.. 2022-04-13 05:02:46 INFO i.a.w.p.KubePodProcess():528 - Copying files... 2022-04-13 05:02:46 INFO i.a.w.p.KubePodProcess(copyFilesToKubeConfigVolume):254 - Uploading file: destination_config.json 2022-04-13 05:02:46 INFO i.a.w.p.KubePodProcess(copyFilesToKubeConfigVolume):262 - kubectl cp /tmp/a2081541-6cf4-45a6-8845-b92427ea1a36/destination_config.json app-airbyte/normalization-sync-90-2-pboqy:/config/destination_config.json -c init 2022-04-13 05:02:46 INFO i.a.w.p.KubePodProcess(copyFilesToKubeConfigVolume):265 - Waiting for kubectl cp to complete 2022-04-13 05:02:46 INFO i.a.w.p.KubePodProcess(copyFilesToKubeConfigVolume):279 - kubectl cp complete, closing process 2022-04-13 05:02:46 INFO i.a.w.p.KubePodProcess(copyFilesToKubeConfigVolume):254 - Uploading file: destination_catalog.json 2022-04-13 05:02:46 INFO i.a.w.p.KubePodProcess(copyFilesToKubeConfigVolume):262 - kubectl cp /tmp/0d57e8ce-88f6-4b08-afc1-44df2882f747/destination_catalog.json app-airbyte/normalization-sync-90-2-pboqy:/config/destination_catalog.json -c init 2022-04-13 05:02:46 INFO i.a.w.p.KubePodProcess(copyFilesToKubeConfigVolume):265 - Waiting for kubectl cp to complete 2022-04-13 05:02:47 INFO i.a.w.p.KubePodProcess(copyFilesToKubeConfigVolume):279 - kubectl cp complete, closing process 2022-04-13 05:02:47 INFO i.a.w.p.KubePodProcess(copyFilesToKubeConfigVolume):254 - Uploading file: FINISHED_UPLOADING 2022-04-13 05:02:47 INFO i.a.w.p.KubePodProcess(copyFilesToKubeConfigVolume):262 - kubectl cp /tmp/63068136-b429-4be9-aeca-4304f900bd74/FINISHED_UPLOADING app-airbyte/normalization-sync-90-2-pboqy:/config/FINISHED_UPLOADING -c init 2022-04-13 05:02:47 INFO i.a.w.p.KubePodProcess(copyFilesToKubeConfigVolume):265 - Waiting for kubectl cp to complete 2022-04-13 05:02:47 INFO i.a.w.p.KubePodProcess(copyFilesToKubeConfigVolume):279 - kubectl cp complete, closing process 2022-04-13 05:02:47 INFO i.a.w.p.KubePodProcess():531 - Waiting until pod is ready... 2022-04-13 05:02:47 INFO i.a.w.p.KubePodProcess(lambda$setupStdOutAndStdErrListeners$9):574 - Setting stdout... 2022-04-13 05:02:47 INFO i.a.w.p.KubePodProcess(lambda$setupStdOutAndStdErrListeners$10):586 - Setting stderr... 2022-04-13 05:02:48 INFO i.a.w.p.KubePodProcess():546 - Reading pod IP... 2022-04-13 05:02:48 INFO i.a.w.p.KubePodProcess():548 - Pod IP: 10.1.132.5 2022-04-13 05:02:48 INFO i.a.w.p.KubePodProcess():555 - Using null stdin output stream... 2022-04-13 05:03:19 normalization > 05:03:19 10 of 77 OK created incremental model hubspot_.companies................................................................ [MERGE (15.2k rows, 93.6 MB processed) in 13.31s] 2022-04-13 05:03:19 normalization > 05:03:19 12 of 77 START table model hubspot_.forms............................................................................... [RUN] 2022-04-13 05:03:21 normalization > 05:03:21 11 of 77 OK created table model hubspot_.form_submissions............................................................... [CREATE TABLE (59.3k rows, 46.5 MB processed) in 7.31s] 2022-04-13 05:03:21 normalization > 05:03:21 13 of 77 START table model hubspot_.owners.............................................................................. [RUN] 2022-04-13 05:03:21 normalization > 05:03:21 12 of 77 OK created table model hubspot_.forms.......................................................................... [CREATE TABLE (28.0 rows, 66.7 KB processed) in 2.08s] 2022-04-13 05:03:21 normalization > 05:03:21 14 of 77 START table model hubspot_.ticket_pipelines.................................................................... [RUN] 2022-04-13 05:03:23 normalization > 05:03:23 13 of 77 OK created table model hubspot_.owners......................................................................... [CREATE TABLE (37.0 rows, 10.2 KB processed) in 2.00s] 2022-04-13 05:03:23 normalization > 05:03:23 15 of 77 START table model hubspot_.workflows........................................................................... [RUN] 2022-04-13 05:03:25 normalization > 05:03:25 15 of 77 OK created table model hubspot_.workflows...................................................................... [CREATE TABLE (84.0 rows, 93.9 KB processed) in 1.98s] 2022-04-13 05:03:25 normalization > 05:03:25 16 of 77 START table model hubspot_.marketing_emails.................................................................... [RUN] 2022-04-13 05:03:26 normalization > 05:03:26 14 of 77 ERROR creating table model hubspot_.ticket_pipelines........................................................... [ERROR in 5.03s] 2022-04-13 05:03:26 normalization > 05:03:26 17 of 77 START incremental model hubspot_.contact_lists................................................................. [RUN] 2022-04-13 05:03:27 normalization > 05:03:27 16 of 77 OK created table model hubspot_.marketing_emails............................................................... [CREATE TABLE (49.0 rows, 282.5 KB processed) in 2.37s] 2022-04-13 05:03:27 normalization > 05:03:27 18 of 77 START incremental model hubspot_.engagements_meetings.......................................................... [RUN] 2022-04-13 05:03:32 normalization > 05:03:32 17 of 77 OK created incremental model hubspot_.contact_lists............................................................ [MERGE (83.0 rows, 54.7 KB processed) in 5.55s] 2022-04-13 05:03:32 normalization > 05:03:32 19 of 77 START incremental model hubspot_.quotes........................................................................ [RUN] 2022-04-13 05:03:34 normalization > 05:03:34 4 of 77 OK created incremental model hubspot_.engagements_calls......................................................... [MERGE (66.8k rows, 171.2 MB processed) in 29.81s] 2022-04-13 05:03:34 normalization > 05:03:34 20 of 77 START incremental model hubspot_.subscription_changes.......................................................... [RUN] 2022-04-13 05:03:36 normalization > 05:03:36 19 of 77 OK created incremental model hubspot_.quotes................................................................... [MERGE (0.0 rows, 0 processed) in 4.11s] 2022-04-13 05:03:36 normalization > 05:03:36 21 of 77 START incremental model hubspot_.engagements_notes............................................................. [RUN] 2022-04-13 05:03:36 normalization > 05:03:36 18 of 77 OK created incremental model hubspot_.engagements_meetings..................................................... [MERGE (6.1k rows, 18.7 MB processed) in 8.80s] 2022-04-13 05:03:36 normalization > 05:03:36 22 of 77 START incremental model hubspot_.products...................................................................... [RUN] 2022-04-13 05:03:40 normalization > 05:03:40 20 of 77 OK created incremental model hubspot_.subscription_changes..................................................... [MERGE (1.9k rows, 726.3 KB processed) in 5.56s] 2022-04-13 05:03:40 normalization > 05:03:40 23 of 77 START incremental model hubspot_.engagements_tasks............................................................. [RUN] 2022-04-13 05:03:40 normalization > 05:03:40 7 of 77 OK created incremental model hubspot_.contacts.................................................................. [MERGE (76.7k rows, 1.0 GB processed) in 35.44s] 2022-04-13 05:03:40 normalization > 05:03:40 24 of 77 START incremental model hubspot_.property_history.............................................................. [RUN] 2022-04-13 05:03:40 normalization > 05:03:40 5 of 77 OK created incremental model hubspot_.deals..................................................................... [MERGE (68.4k rows, 684.1 MB processed) in 36.01s] 2022-04-13 05:03:40 normalization > 05:03:40 25 of 77 START incremental model hubspot_.line_items.................................................................... [RUN] 2022-04-13 05:03:40 normalization > 05:03:40 22 of 77 OK created incremental model hubspot_.products................................................................. [MERGE (0.0 rows, 0 processed) in 4.37s] 2022-04-13 05:03:40 normalization > 05:03:40 26 of 77 START incremental model hubspot_.tickets....................................................................... [RUN] 2022-04-13 05:03:45 normalization > 05:03:45 24 of 77 OK created incremental model hubspot_.property_history......................................................... [MERGE (0.0 rows, 0 processed) in 4.69s] 2022-04-13 05:03:45 normalization > 05:03:45 25 of 77 OK created incremental model hubspot_.line_items............................................................... [MERGE (0.0 rows, 0 processed) in 4.64s] 2022-04-13 05:03:46 normalization > 05:03:46 26 of 77 OK created incremental model hubspot_.tickets.................................................................. [MERGE (87.0 rows, 305.0 KB processed) in 5.24s] 2022-04-13 05:03:53 normalization > 05:03:53 27 of 77 START table model hubspot_.campaigns_counters.................................................................. [RUN] 2022-04-13 05:03:53 normalization > 05:03:53 28 of 77 START table model hubspot_.deal_pipelines_stages............................................................... [RUN] 2022-04-13 05:03:53 normalization > 05:03:53 29 of 77 START table model hubspot_.form_submissions_values............................................................. [RUN] 2022-04-13 05:03:55 normalization > 05:03:55 28 of 77 OK created table model hubspot_.deal_pipelines_stages.......................................................... [CREATE TABLE (24.0 rows, 4.3 KB processed) in 2.00s] 2022-04-13 05:03:55 normalization > 05:03:55 30 of 77 START table model hubspot_.forms_configuration................................................................. [RUN] 2022-04-13 05:03:55 normalization > 05:03:55 27 of 77 OK created table model hubspot_.campaigns_counters............................................................. [CREATE TABLE (40.0 rows, 7.8 KB processed) in 2.35s] 2022-04-13 05:03:57 normalization > 05:03:57 30 of 77 OK created table model hubspot_.forms_configuration............................................................ [CREATE TABLE (28.0 rows, 12.8 KB processed) in 2.73s] 2022-04-13 05:03:57 normalization > 05:03:57 31 of 77 START table model hubspot_.forms_displayOptions................................................................ [RUN] 2022-04-13 05:03:58 normalization > 05:03:58 32 of 77 START table model hubspot_.forms_fieldGroups................................................................... [RUN] 2022-04-13 05:04:00 normalization > 05:04:00 31 of 77 OK created table model hubspot_.forms_displayOptions........................................................... [CREATE TABLE (28.0 rows, 14.1 KB processed) in 2.31s] 2022-04-13 05:04:00 normalization > 05:04:00 33 of 77 START table model hubspot_.forms_properties.................................................................... [RUN] 2022-04-13 05:04:00 normalization > 05:04:00 32 of 77 OK created table model hubspot_.forms_fieldGroups.............................................................. [CREATE TABLE (147.0 rows, 37.4 KB processed) in 2.03s] 2022-04-13 05:04:00 normalization > 05:04:00 34 of 77 SKIP relation hubspot_.ticket_pipelines_stages................................................................. [SKIP] 2022-04-13 05:04:00 normalization > 05:04:00 35 of 77 START table model hubspot_.owners_teams........................................................................ [RUN] 2022-04-13 05:04:00 normalization > 05:04:00 29 of 77 OK created table model hubspot_.form_submissions_values........................................................ [CREATE TABLE (312.9k rows, 40.5 MB processed) in 6.58s] 2022-04-13 05:04:00 normalization > 05:04:00 36 of 77 START table model hubspot_.workflows_contactListIds............................................................ [RUN] 2022-04-13 05:04:02 normalization > 05:04:02 35 of 77 OK created table model hubspot_.owners_teams................................................................... [CREATE TABLE (20.0 rows, 3.7 KB processed) in 2.01s] 2022-04-13 05:04:02 normalization > 05:04:02 37 of 77 START table model hubspot_.marketing_emails_stats.............................................................. [RUN] 2022-04-13 05:04:02 normalization > 05:04:02 36 of 77 OK created table model hubspot_.workflows_contactListIds....................................................... [CREATE TABLE (84.0 rows, 11.9 KB processed) in 2.02s] 2022-04-13 05:04:02 normalization > 05:04:02 33 of 77 OK created table model hubspot_.forms_properties............................................................... [CREATE TABLE (0.0 rows, 2.2 KB processed) in 2.29s] 2022-04-13 05:04:02 normalization > 05:04:02 38 of 77 START incremental model hubspot_.contact_lists_filters......................................................... [RUN] 2022-04-13 05:04:02 normalization > 05:04:02 39 of 77 START incremental model hubspot_.contact_lists_metaData........................................................ [RUN] 2022-04-13 05:04:04 normalization > 05:04:04 37 of 77 OK created table model hubspot_.marketing_emails_stats......................................................... [CREATE TABLE (35.0 rows, 28.0 KB processed) in 2.58s] 2022-04-13 05:04:07 normalization > 05:04:07 39 of 77 OK created incremental model hubspot_.contact_lists_metaData................................................... [MERGE (83.0 rows, 12.5 KB processed) in 4.26s] 2022-04-13 05:04:07 normalization > 05:04:07 40 of 77 START incremental model hubspot_.companies_properties.......................................................... [RUN] 2022-04-13 05:04:07 normalization > 05:04:07 41 of 77 START incremental model hubspot_.engagements_calls_properties.................................................. [RUN] 2022-04-13 05:04:07 normalization > 05:04:07 23 of 77 OK created incremental model hubspot_.engagements_tasks........................................................ [MERGE (66.5k rows, 140.7 MB processed) in 27.02s] 2022-04-13 05:04:07 normalization > 05:04:07 42 of 77 START incremental model hubspot_.subscription_changes_changes.................................................. [RUN] 2022-04-13 05:04:07 normalization > 05:04:07 38 of 77 OK created incremental model hubspot_.contact_lists_filters.................................................... [MERGE (67.0 rows, 8.0 KB processed) in 4.61s] 2022-04-13 05:04:07 normalization > 05:04:07 43 of 77 START incremental model hubspot_.quotes_properties............................................................. [RUN] 2022-04-13 05:04:07 normalization > 05:04:07 21 of 77 OK created incremental model hubspot_.engagements_notes........................................................ [MERGE (76.1k rows, 229.3 MB processed) in 31.61s] 2022-04-13 05:04:07 normalization > 05:04:07 44 of 77 START incremental model hubspot_.engagements_meetings_properties............................................... [RUN] 2022-04-13 05:04:11 normalization > 05:04:11 42 of 77 OK created incremental model hubspot_.subscription_changes_changes............................................. [MERGE (1.9k rows, 489.6 KB processed) in 4.49s] 2022-04-13 05:04:11 normalization > 05:04:11 45 of 77 START incremental model hubspot_.deals_dealstage............................................................... [RUN] 2022-04-13 05:04:11 normalization > 05:04:11 43 of 77 OK created incremental model hubspot_.quotes_properties........................................................ [MERGE (0.0 rows, 0 processed) in 4.82s] 2022-04-13 05:04:11 normalization > 05:04:11 46 of 77 START incremental model hubspot_.line_items_properties......................................................... [RUN] 2022-04-13 05:04:15 normalization > 05:04:15 45 of 77 OK created incremental model hubspot_.deals_dealstage.......................................................... [MERGE (0.0 rows, 0 processed) in 4.11s] 2022-04-13 05:04:15 normalization > 05:04:15 47 of 77 START incremental model hubspot_.contacts_properties........................................................... [RUN] 2022-04-13 05:04:16 normalization > 05:04:16 46 of 77 OK created incremental model hubspot_.line_items_properties.................................................... [MERGE (0.0 rows, 0 processed) in 4.74s] 2022-04-13 05:04:16 normalization > 05:04:16 48 of 77 START incremental model hubspot_.products_properties........................................................... [RUN] 2022-04-13 05:04:18 normalization > 05:04:18 6 of 77 OK created incremental model hubspot_.engagements_emails........................................................ [MERGE (108.2k rows, 1.9 GB processed) in 73.48s] 2022-04-13 05:04:18 normalization > 05:04:18 49 of 77 START incremental model hubspot_.deals_properties.............................................................. [RUN] 2022-04-13 05:04:19 normalization > 05:04:19 44 of 77 OK created incremental model hubspot_.engagements_meetings_properties.......................................... [MERGE (6.1k rows, 9.4 MB processed) in 11.32s] 2022-04-13 05:04:19 normalization > 05:04:19 50 of 77 START incremental model hubspot_.tickets_properties............................................................ [RUN] 2022-04-13 05:04:20 normalization > 05:04:20 8 of 77 OK created incremental model hubspot_.email_events.............................................................. [MERGE (218.0k rows, 99.4 MB processed) in 75.97s] 2022-04-13 05:04:20 normalization > 05:04:20 48 of 77 OK created incremental model hubspot_.products_properties...................................................... [MERGE (0.0 rows, 0 processed) in 4.15s] 2022-04-13 05:04:23 normalization > 05:04:23 50 of 77 OK created incremental model hubspot_.tickets_properties....................................................... [MERGE (87.0 rows, 49.9 KB processed) in 4.54s] 2022-04-13 05:04:24 normalization > 05:04:24 51 of 77 START table model hubspot_.deal_pipelines_stages_metadata...................................................... [RUN] 2022-04-13 05:04:24 normalization > 05:04:24 52 of 77 START table model hubspot_.forms_configuration_postSubmitAction................................................ [RUN] 2022-04-13 05:04:24 normalization > 05:04:24 53 of 77 START table model hubspot_.forms_displayOptions_style.......................................................... [RUN] 2022-04-13 05:04:26 normalization > 05:04:26 51 of 77 OK created table model hubspot_.deal_pipelines_stages_metadata................................................. [CREATE TABLE (24.0 rows, 2.9 KB processed) in 2.10s] 2022-04-13 05:04:26 normalization > 05:04:26 54 of 77 START table model hubspot_.forms_fieldGroups_fields............................................................ [RUN] 2022-04-13 05:04:26 normalization > 05:04:26 53 of 77 OK created table model hubspot_.forms_displayOptions_style..................................................... [CREATE TABLE (28.0 rows, 11.0 KB processed) in 2.02s] 2022-04-13 05:04:26 normalization > 05:04:26 55 of 77 SKIP relation hubspot_.ticket_pipelines_stages_metadata........................................................ [SKIP] 2022-04-13 05:04:26 normalization > 05:04:26 52 of 77 OK created table model hubspot_.forms_configuration_postSubmitAction........................................... [CREATE TABLE (28.0 rows, 5.4 KB processed) in 2.27s] 2022-04-13 05:04:26 normalization > 05:04:26 56 of 77 START table model hubspot_.marketing_emails_stats_counters..................................................... [RUN] 2022-04-13 05:04:27 normalization > 05:04:27 57 of 77 START table model hubspot_.marketing_emails_stats_deviceBreakdown.............................................. [RUN] 2022-04-13 05:04:28 normalization > 05:04:28 54 of 77 OK created table model hubspot_.forms_fieldGroups_fields....................................................... [CREATE TABLE (152.0 rows, 35.0 KB processed) in 2.30s] 2022-04-13 05:04:28 normalization > 05:04:28 58 of 77 START table model hubspot_.marketing_emails_stats_ratios....................................................... [RUN] 2022-04-13 05:04:28 normalization > 05:04:28 56 of 77 OK created table model hubspot_.marketing_emails_stats_counters................................................ [CREATE TABLE (35.0 rows, 10.3 KB processed) in 2.05s] 2022-04-13 05:04:29 normalization > 05:04:29 57 of 77 OK created table model hubspot_.marketing_emails_stats_deviceBreakdown......................................... [CREATE TABLE (35.0 rows, 6.9 KB processed) in 2.00s] 2022-04-13 05:04:29 normalization > 05:04:29 59 of 77 START incremental model hubspot_.engagements_tasks_properties.................................................. [RUN] 2022-04-13 05:04:30 normalization > 05:04:30 60 of 77 START incremental model hubspot_.engagements_notes_properties.................................................. [RUN] 2022-04-13 05:04:31 normalization > 05:04:31 58 of 77 OK created table model hubspot_.marketing_emails_stats_ratios.................................................. [CREATE TABLE (35.0 rows, 12.4 KB processed) in 2.59s] 2022-04-13 05:04:31 normalization > 05:04:31 61 of 77 START incremental model hubspot_.engagements_emails_properties................................................. [RUN] 2022-04-13 05:04:58 normalization > 05:04:58 9 of 77 OK created incremental model hubspot_.engagements............................................................... [MERGE (323.7k rows, 1.9 GB processed) in 112.32s] 2022-04-13 05:04:58 normalization > 05:04:58 62 of 77 START incremental model hubspot_.email_events_browser.......................................................... [RUN] 2022-04-13 05:05:06 normalization > 05:05:06 62 of 77 OK created incremental model hubspot_.email_events_browser..................................................... [MERGE (66.5k rows, 14.0 MB processed) in 7.49s] 2022-04-13 05:05:06 normalization > 05:05:06 63 of 77 START incremental model hubspot_.subscription_changes_changes_causedByEvent.................................... [RUN] 2022-04-13 05:05:10 normalization > 05:05:10 63 of 77 OK created incremental model hubspot_.subscription_changes_changes_causedByEvent............................... [MERGE (1.9k rows, 313.4 KB processed) in 4.14s] 2022-04-13 05:05:10 normalization > 05:05:10 64 of 77 START incremental model hubspot_.email_events_causedBy......................................................... [RUN] 2022-04-13 05:05:14 normalization > 05:05:14 64 of 77 OK created incremental model hubspot_.email_events_causedBy.................................................... [MERGE (1.1k rows, 174.6 KB processed) in 4.43s] 2022-04-13 05:05:14 normalization > 05:05:14 65 of 77 START incremental model hubspot_.email_events_obsoletedBy...................................................... [RUN] 2022-04-13 05:05:18 normalization > 05:05:18 65 of 77 OK created incremental model hubspot_.email_events_obsoletedBy................................................. [MERGE (389.0 rows, 63.8 KB processed) in 4.37s] 2022-04-13 05:05:18 normalization > 05:05:18 66 of 77 START incremental model hubspot_.email_events_location......................................................... [RUN] 2022-04-13 05:05:25 normalization > 05:05:25 66 of 77 OK created incremental model hubspot_.email_events_location.................................................... [MERGE (66.5k rows, 9.7 MB processed) in 6.84s] 2022-04-13 05:05:25 normalization > 05:05:25 67 of 77 START incremental model hubspot_.email_events_sentBy........................................................... [RUN] 2022-04-13 05:05:36 normalization > 05:05:36 67 of 77 OK created incremental model hubspot_.email_events_sentBy...................................................... [MERGE (217.9k rows, 34.9 MB processed) in 11.06s] 2022-04-13 05:05:37 normalization > 05:05:37 60 of 77 OK created incremental model hubspot_.engagements_notes_properties............................................. [MERGE (76.1k rows, 154.0 MB processed) in 67.77s] 2022-04-13 05:05:38 normalization > 05:05:38 68 of 77 START table model hubspot_.marketing_emails_stats_deviceBreakdown_click_device_type............................ [RUN] 2022-04-13 05:05:39 normalization > 05:05:39 69 of 77 START table model hubspot_.marketing_emails_stats_deviceBreakdown_open_device_type............................. [RUN] 2022-04-13 05:05:40 normalization > 05:05:40 68 of 77 OK created table model hubspot_.marketing_emails_stats_deviceBreakdown_click_device_type....................... [CREATE TABLE (35.0 rows, 4.1 KB processed) in 1.98s] 2022-04-13 05:05:40 normalization > 05:05:40 70 of 77 START incremental model hubspot_.engagements_associations...................................................... [RUN] 2022-04-13 05:05:40 normalization > 05:05:40 41 of 77 OK created incremental model hubspot_.engagements_calls_properties............................................. [MERGE (66.8k rows, 67.9 MB processed) in 93.66s] 2022-04-13 05:05:41 normalization > 05:05:41 69 of 77 OK created table model hubspot_.marketing_emails_stats_deviceBreakdown_open_device_type........................ [CREATE TABLE (35.0 rows, 4.2 KB processed) in 2.00s] 2022-04-13 05:05:41 normalization > 05:05:41 71 of 77 START incremental model hubspot_.engagements_attachments....................................................... [RUN] 2022-04-13 05:05:41 normalization > 05:05:41 72 of 77 START incremental model hubspot_.engagements_metadata.......................................................... [RUN] 2022-04-13 05:05:45 normalization > 05:05:45 71 of 77 OK created incremental model hubspot_.engagements_attachments.................................................. [MERGE (26.1k rows, 3.2 MB processed) in 4.69s] 2022-04-13 05:05:53 normalization > 05:05:53 70 of 77 OK created incremental model hubspot_.engagements_associations................................................. [MERGE (323.7k rows, 43.9 MB processed) in 12.81s] 2022-04-13 05:06:15 normalization > 05:06:15 40 of 77 OK created incremental model hubspot_.companies_properties..................................................... [MERGE (15.2k rows, 11.0 MB processed) in 128.32s] 2022-04-13 05:07:15 normalization > 05:07:15 59 of 77 OK created incremental model hubspot_.engagements_tasks_properties............................................. [MERGE (66.5k rows, 27.8 MB processed) in 165.22s] 2022-04-13 05:10:12 normalization > 05:10:12 61 of 77 OK created incremental model hubspot_.engagements_emails_properties............................................ [MERGE (108.2k rows, 1.6 GB processed) in 341.25s] 2022-04-13 05:10:15 normalization > 05:10:15 72 of 77 OK created incremental model hubspot_.engagements_metadata..................................................... [MERGE (323.7k rows, 1.2 GB processed) in 273.95s] 2022-04-13 05:10:16 normalization > 05:10:16 73 of 77 START incremental model hubspot_.engagements_metadata_sender................................................... [RUN] 2022-04-13 05:10:16 normalization > 05:10:16 74 of 77 START incremental model hubspot_.engagements_metadata_to....................................................... [RUN] 2022-04-13 05:10:16 normalization > 05:10:16 75 of 77 START incremental model hubspot_.engagements_metadata_cc....................................................... [RUN] 2022-04-13 05:10:16 normalization > 05:10:16 76 of 77 START incremental model hubspot_.engagements_metadata_bcc...................................................... [RUN] 2022-04-13 05:10:16 normalization > 05:10:16 77 of 77 START incremental model hubspot_.engagements_metadata_from..................................................... [RUN] 2022-04-13 05:10:21 normalization > 05:10:21 75 of 77 OK created incremental model hubspot_.engagements_metadata_cc.................................................. [MERGE (13.4k rows, 3.1 MB processed) in 4.84s] 2022-04-13 05:10:21 normalization > 05:10:21 76 of 77 OK created incremental model hubspot_.engagements_metadata_bcc................................................. [MERGE (0.0 rows, 0 processed) in 5.06s] 2022-04-13 05:10:23 normalization > 05:10:23 73 of 77 OK created incremental model hubspot_.engagements_metadata_sender.............................................. [MERGE (108.2k rows, 15.4 MB processed) in 6.85s] 2022-04-13 05:10:23 normalization > 05:10:23 74 of 77 OK created incremental model hubspot_.engagements_metadata_to.................................................. [MERGE (111.1k rows, 21.0 MB processed) in 7.69s] 2022-04-13 05:10:24 normalization > 05:10:24 77 of 77 OK created incremental model hubspot_.engagements_metadata_from................................................ [MERGE (108.2k rows, 19.4 MB processed) in 7.72s] 2022-04-13 05:18:15 normalization > 05:18:15 49 of 77 OK created incremental model hubspot_.deals_properties......................................................... [MERGE (68.4k rows, 74.9 MB processed) in 837.13s] 2022-04-13 05:22:22 INFO i.a.v.j.JsonSchemaValidator(test):56 - JSON schema validation failed. errors: $.client_id: is missing but it is required, $.client_secret: is missing but it is required, $.refresh_token: is missing but it is required, $.credentials_title: must be a constant value OAuth Credentials, $.credentials_title: does not have a value in the enumeration [OAuth Credentials] 2022-04-13 05:22:22 INFO i.a.w.p.KubePodProcess(close):695 - (pod: app-airbyte / normalization-sync-90-2-pboqy) - Closed all resources for pod 2022-04-13 05:22:18 normalization > 05:22:18 47 of 77 ERROR creating incremental model hubspot_.contacts_properties.................................................. [ERROR in 1082.35s] 2022-04-13 05:22:18 normalization > 05:22:18 2022-04-13 05:22:18 normalization > 05:22:18 Finished running 30 table models, 47 incremental models in 1157.76s. 2022-04-13 05:22:18 normalization > 05:22:18 2022-04-13 05:22:18 normalization > 05:22:18 Completed with 2 errors and 0 warnings: 2022-04-13 05:22:18 normalization > 05:22:18 2022-04-13 05:22:18 normalization > 05:22:18 Database Error in model ticket_pipelines (models/generated/airbyte_tables/hubspot_/ticket_pipelines.sql) 2022-04-13 05:22:18 normalization > 05:22:18 Bad int64 value: 1970-01-01T00:00:00Z 2022-04-13 05:22:18 normalization > 05:22:18 compiled SQL at ../build/run/airbyte_utils/models/generated/airbyte_tables/hubspot_/ticket_pipelines.sql 2022-04-13 05:22:18 normalization > 05:22:18 2022-04-13 05:22:18 normalization > 05:22:18 Database Error in model contacts_properties (models/generated/airbyte_incremental/hubspot_/contacts_properties.sql) 2022-04-13 05:22:18 normalization > 05:22:18 Invalid date: '1 an et demi' 2022-04-13 05:22:18 normalization > 05:22:18 2022-04-13 05:22:18 normalization > 05:22:18 Done. PASS=73 WARN=0 ERROR=2 SKIP=2 TOTAL=77 2022-04-13 05:22:18 normalization > 2022-04-13 05:22:18 normalization > Diagnosing dbt debug to check if destination is available for dbt and well configured (1): 2022-04-13 05:22:18 normalization > 2022-04-13 05:22:20 normalization > 05:22:20 Running with dbt=1.0.0 2022-04-13 05:22:20 normalization > dbt version: 1.0.0 2022-04-13 05:22:20 normalization > python version: 3.9.9 2022-04-13 05:22:20 normalization > python path: /usr/local/bin/python 2022-04-13 05:22:20 normalization > os info: Linux-5.4.144+-x86_64-with-glibc2.31 2022-04-13 05:22:20 normalization > Using profiles.yml file at /config/profiles.yml 2022-04-13 05:22:20 normalization > Using dbt_project.yml file at /config/dbt_project.yml 2022-04-13 05:22:20 normalization > 2022-04-13 05:22:20 normalization > Configuration: 2022-04-13 05:22:20 normalization > profiles.yml file [OK found and valid] 2022-04-13 05:22:20 normalization > dbt_project.yml file [OK found and valid] 2022-04-13 05:22:20 normalization > 2022-04-13 05:22:20 normalization > Required dependencies: 2022-04-13 05:22:20 normalization > - git [OK found] 2022-04-13 05:22:20 normalization > 2022-04-13 05:22:20 normalization > Connection: 2022-04-13 05:22:20 normalization > method: service-account-json 2022-04-13 05:22:20 normalization > database: mansagroup-datascience 2022-04-13 05:22:20 normalization > schema: airbyte_default 2022-04-13 05:22:20 normalization > location: europe-west4 2022-04-13 05:22:20 normalization > priority: batch 2022-04-13 05:22:20 normalization > timeout_seconds: 300 2022-04-13 05:22:20 normalization > maximum_bytes_billed: None 2022-04-13 05:22:20 normalization > execution_project: mansagroup-datascience 2022-04-13 05:22:20 normalization > Connection test: [OK connection ok] 2022-04-13 05:22:20 normalization > 2022-04-13 05:22:20 normalization > All checks passed! 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > Forward dbt output logs to diagnose/debug errors (0): 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > ============================== 2022-04-13 05:02:53.740021 | 56d2bdfe-b9f4-4f5f-ace1-81bdf82cb92f ============================== 2022-04-13 05:22:21 normalization > 05:02:53.740021 [info ] [MainThread]: Running with dbt=1.0.0 2022-04-13 05:22:21 normalization > 05:02:53.740636 [debug] [MainThread]: running dbt with arguments Namespace(record_timing_info=None, debug=None, log_format=None, write_json=None, use_colors=None, printer_width=None, warn_error=None, version_check=None, partial_parse=None, single_threaded=False, use_experimental_parser=None, static_parser=None, profiles_dir='/config', send_anonymous_usage_stats=None, fail_fast=None, event_buffer_size='10000', project_dir='/config', profile=None, target=None, vars='{}', log_cache_events=False, threads=None, select=None, exclude=None, selector_name=None, state=None, defer=None, full_refresh=False, cls=, which='run', rpc_method='run') 2022-04-13 05:22:21 normalization > 05:02:53.740854 [debug] [MainThread]: Tracking: do not track 2022-04-13 05:22:21 normalization > 05:02:53.761717 [info ] [MainThread]: Partial parse save file not found. Starting full parse. 2022-04-13 05:22:21 normalization > 05:02:53.805238 [debug] [MainThread]: Parsing macros/star_intersect.sql 2022-04-13 05:22:21 normalization > 05:02:53.811687 [debug] [MainThread]: Parsing macros/should_full_refresh.sql 2022-04-13 05:22:21 normalization > 05:02:53.816532 [debug] [MainThread]: Parsing macros/incremental.sql 2022-04-13 05:22:21 normalization > 05:02:53.822185 [debug] [MainThread]: Parsing macros/get_custom_schema.sql 2022-04-13 05:22:21 normalization > 05:02:53.822825 [debug] [MainThread]: Parsing macros/schema_tests/equality.sql 2022-04-13 05:22:21 normalization > 05:02:53.829408 [debug] [MainThread]: Parsing macros/schema_tests/equal_rowcount.sql 2022-04-13 05:22:21 normalization > 05:02:53.830566 [debug] [MainThread]: Parsing macros/cross_db_utils/type_conversions.sql 2022-04-13 05:22:21 normalization > 05:02:53.836024 [debug] [MainThread]: Parsing macros/cross_db_utils/surrogate_key.sql 2022-04-13 05:22:21 normalization > 05:02:53.838158 [debug] [MainThread]: Parsing macros/cross_db_utils/quote.sql 2022-04-13 05:22:21 normalization > 05:02:53.839720 [debug] [MainThread]: Parsing macros/cross_db_utils/json_operations.sql 2022-04-13 05:22:21 normalization > 05:02:53.870913 [debug] [MainThread]: Parsing macros/cross_db_utils/hash.sql 2022-04-13 05:22:21 normalization > 05:02:53.871591 [debug] [MainThread]: Parsing macros/cross_db_utils/except.sql 2022-04-13 05:22:21 normalization > 05:02:53.872416 [debug] [MainThread]: Parsing macros/cross_db_utils/datatypes.sql 2022-04-13 05:22:21 normalization > 05:02:53.881966 [debug] [MainThread]: Parsing macros/cross_db_utils/current_timestamp.sql 2022-04-13 05:22:21 normalization > 05:02:53.882634 [debug] [MainThread]: Parsing macros/cross_db_utils/concat.sql 2022-04-13 05:22:21 normalization > 05:02:53.884686 [debug] [MainThread]: Parsing macros/cross_db_utils/array.sql 2022-04-13 05:22:21 normalization > 05:02:53.897559 [debug] [MainThread]: Parsing macros/etc.sql 2022-04-13 05:22:21 normalization > 05:02:53.899443 [debug] [MainThread]: Parsing macros/adapters.sql 2022-04-13 05:22:21 normalization > 05:02:53.921831 [debug] [MainThread]: Parsing macros/catalog.sql 2022-04-13 05:22:21 normalization > 05:02:53.927438 [debug] [MainThread]: Parsing macros/materializations/seed.sql 2022-04-13 05:22:21 normalization > 05:02:53.930107 [debug] [MainThread]: Parsing macros/materializations/table.sql 2022-04-13 05:22:21 normalization > 05:02:53.934062 [debug] [MainThread]: Parsing macros/materializations/snapshot.sql 2022-04-13 05:22:21 normalization > 05:02:53.935801 [debug] [MainThread]: Parsing macros/materializations/incremental.sql 2022-04-13 05:22:21 normalization > 05:02:53.951042 [debug] [MainThread]: Parsing macros/materializations/copy.sql 2022-04-13 05:22:21 normalization > 05:02:53.953712 [debug] [MainThread]: Parsing macros/materializations/view.sql 2022-04-13 05:22:21 normalization > 05:02:53.956325 [debug] [MainThread]: Parsing macros/adapters/schema.sql 2022-04-13 05:22:21 normalization > 05:02:53.958533 [debug] [MainThread]: Parsing macros/adapters/relation.sql 2022-04-13 05:22:21 normalization > 05:02:53.968006 [debug] [MainThread]: Parsing macros/adapters/columns.sql 2022-04-13 05:22:21 normalization > 05:02:53.977681 [debug] [MainThread]: Parsing macros/adapters/persist_docs.sql 2022-04-13 05:22:21 normalization > 05:02:53.982083 [debug] [MainThread]: Parsing macros/adapters/indexes.sql 2022-04-13 05:22:21 normalization > 05:02:53.984931 [debug] [MainThread]: Parsing macros/adapters/freshness.sql 2022-04-13 05:22:21 normalization > 05:02:53.987867 [debug] [MainThread]: Parsing macros/adapters/metadata.sql 2022-04-13 05:22:21 normalization > 05:02:53.995107 [debug] [MainThread]: Parsing macros/generic_test_sql/accepted_values.sql 2022-04-13 05:22:21 normalization > 05:02:53.996594 [debug] [MainThread]: Parsing macros/generic_test_sql/relationships.sql 2022-04-13 05:22:21 normalization > 05:02:53.997561 [debug] [MainThread]: Parsing macros/generic_test_sql/unique.sql 2022-04-13 05:22:21 normalization > 05:02:53.998342 [debug] [MainThread]: Parsing macros/generic_test_sql/not_null.sql 2022-04-13 05:22:21 normalization > 05:02:53.998939 [debug] [MainThread]: Parsing macros/get_custom_name/get_custom_schema.sql 2022-04-13 05:22:21 normalization > 05:02:54.001829 [debug] [MainThread]: Parsing macros/get_custom_name/get_custom_alias.sql 2022-04-13 05:22:21 normalization > 05:02:54.003393 [debug] [MainThread]: Parsing macros/get_custom_name/get_custom_database.sql 2022-04-13 05:22:21 normalization > 05:02:54.005040 [debug] [MainThread]: Parsing macros/materializations/configs.sql 2022-04-13 05:22:21 normalization > 05:02:54.007438 [debug] [MainThread]: Parsing macros/materializations/hooks.sql 2022-04-13 05:22:21 normalization > 05:02:54.011348 [debug] [MainThread]: Parsing macros/materializations/snapshots/strategies.sql 2022-04-13 05:22:21 normalization > 05:02:54.028620 [debug] [MainThread]: Parsing macros/materializations/snapshots/helpers.sql 2022-04-13 05:22:21 normalization > 05:02:54.039727 [debug] [MainThread]: Parsing macros/materializations/snapshots/snapshot.sql 2022-04-13 05:22:21 normalization > 05:02:54.051214 [debug] [MainThread]: Parsing macros/materializations/snapshots/snapshot_merge.sql 2022-04-13 05:22:21 normalization > 05:02:54.052883 [debug] [MainThread]: Parsing macros/materializations/models/view/create_view_as.sql 2022-04-13 05:22:21 normalization > 05:02:54.055223 [debug] [MainThread]: Parsing macros/materializations/models/view/helpers.sql 2022-04-13 05:22:21 normalization > 05:02:54.056590 [debug] [MainThread]: Parsing macros/materializations/models/view/create_or_replace_view.sql 2022-04-13 05:22:21 normalization > 05:02:54.059443 [debug] [MainThread]: Parsing macros/materializations/models/view/view.sql 2022-04-13 05:22:21 normalization > 05:02:54.066681 [debug] [MainThread]: Parsing macros/materializations/models/table/table.sql 2022-04-13 05:22:21 normalization > 05:02:54.073818 [debug] [MainThread]: Parsing macros/materializations/models/table/create_table_as.sql 2022-04-13 05:22:21 normalization > 05:02:54.076707 [debug] [MainThread]: Parsing macros/materializations/models/incremental/is_incremental.sql 2022-04-13 05:22:21 normalization > 05:02:54.078247 [debug] [MainThread]: Parsing macros/materializations/models/incremental/on_schema_change.sql 2022-04-13 05:22:21 normalization > 05:02:54.093562 [debug] [MainThread]: Parsing macros/materializations/models/incremental/column_helpers.sql 2022-04-13 05:22:21 normalization > 05:02:54.098035 [debug] [MainThread]: Parsing macros/materializations/models/incremental/incremental.sql 2022-04-13 05:22:21 normalization > 05:02:54.108084 [debug] [MainThread]: Parsing macros/materializations/models/incremental/merge.sql 2022-04-13 05:22:21 normalization > 05:02:54.119382 [debug] [MainThread]: Parsing macros/materializations/seeds/seed.sql 2022-04-13 05:22:21 normalization > 05:02:54.125427 [debug] [MainThread]: Parsing macros/materializations/seeds/helpers.sql 2022-04-13 05:22:21 normalization > 05:02:54.141771 [debug] [MainThread]: Parsing macros/materializations/tests/helpers.sql 2022-04-13 05:22:21 normalization > 05:02:54.143631 [debug] [MainThread]: Parsing macros/materializations/tests/where_subquery.sql 2022-04-13 05:22:21 normalization > 05:02:54.145507 [debug] [MainThread]: Parsing macros/materializations/tests/test.sql 2022-04-13 05:22:21 normalization > 05:02:54.150021 [debug] [MainThread]: Parsing macros/etc/datetime.sql 2022-04-13 05:22:21 normalization > 05:02:54.158550 [debug] [MainThread]: Parsing macros/etc/statement.sql 2022-04-13 05:22:21 normalization > 05:02:54.163054 [debug] [MainThread]: Parsing tests/generic/builtin.sql 2022-04-13 05:22:21 normalization > 05:02:54.166303 [debug] [MainThread]: Parsing macros/jinja_helpers/slugify.sql 2022-04-13 05:22:21 normalization > 05:02:54.167591 [debug] [MainThread]: Parsing macros/jinja_helpers/pretty_time.sql 2022-04-13 05:22:21 normalization > 05:02:54.169001 [debug] [MainThread]: Parsing macros/jinja_helpers/log_info.sql 2022-04-13 05:22:21 normalization > 05:02:54.170228 [debug] [MainThread]: Parsing macros/jinja_helpers/pretty_log_format.sql 2022-04-13 05:22:21 normalization > 05:02:54.171438 [debug] [MainThread]: Parsing macros/cross_db_utils/hash.sql 2022-04-13 05:22:21 normalization > 05:02:54.172915 [debug] [MainThread]: Parsing macros/cross_db_utils/position.sql 2022-04-13 05:22:21 normalization > 05:02:54.174552 [debug] [MainThread]: Parsing macros/cross_db_utils/_is_ephemeral.sql 2022-04-13 05:22:21 normalization > 05:02:54.176542 [debug] [MainThread]: Parsing macros/cross_db_utils/identifier.sql 2022-04-13 05:22:21 normalization > 05:02:54.178412 [debug] [MainThread]: Parsing macros/cross_db_utils/length.sql 2022-04-13 05:22:21 normalization > 05:02:54.179796 [debug] [MainThread]: Parsing macros/cross_db_utils/intersect.sql 2022-04-13 05:22:21 normalization > 05:02:54.180926 [debug] [MainThread]: Parsing macros/cross_db_utils/cast_bool_to_text.sql 2022-04-13 05:22:21 normalization > 05:02:54.182551 [debug] [MainThread]: Parsing macros/cross_db_utils/_is_relation.sql 2022-04-13 05:22:21 normalization > 05:02:54.183725 [debug] [MainThread]: Parsing macros/cross_db_utils/split_part.sql 2022-04-13 05:22:21 normalization > 05:02:54.185628 [debug] [MainThread]: Parsing macros/cross_db_utils/datatypes.sql 2022-04-13 05:22:21 normalization > 05:02:54.191721 [debug] [MainThread]: Parsing macros/cross_db_utils/except.sql 2022-04-13 05:22:21 normalization > 05:02:54.192852 [debug] [MainThread]: Parsing macros/cross_db_utils/replace.sql 2022-04-13 05:22:21 normalization > 05:02:54.194168 [debug] [MainThread]: Parsing macros/cross_db_utils/last_day.sql 2022-04-13 05:22:21 normalization > 05:02:54.197764 [debug] [MainThread]: Parsing macros/cross_db_utils/dateadd.sql 2022-04-13 05:22:21 normalization > 05:02:54.200803 [debug] [MainThread]: Parsing macros/cross_db_utils/literal.sql 2022-04-13 05:22:21 normalization > 05:02:54.201813 [debug] [MainThread]: Parsing macros/cross_db_utils/concat.sql 2022-04-13 05:22:21 normalization > 05:02:54.202873 [debug] [MainThread]: Parsing macros/cross_db_utils/right.sql 2022-04-13 05:22:21 normalization > 05:02:54.205261 [debug] [MainThread]: Parsing macros/cross_db_utils/escape_single_quotes.sql 2022-04-13 05:22:21 normalization > 05:02:54.207158 [debug] [MainThread]: Parsing macros/cross_db_utils/bool_or.sql 2022-04-13 05:22:21 normalization > 05:02:54.208822 [debug] [MainThread]: Parsing macros/cross_db_utils/current_timestamp.sql 2022-04-13 05:22:21 normalization > 05:02:54.212585 [debug] [MainThread]: Parsing macros/cross_db_utils/safe_cast.sql 2022-04-13 05:22:21 normalization > 05:02:54.214511 [debug] [MainThread]: Parsing macros/cross_db_utils/date_trunc.sql 2022-04-13 05:22:21 normalization > 05:02:54.216051 [debug] [MainThread]: Parsing macros/cross_db_utils/width_bucket.sql 2022-04-13 05:22:21 normalization > 05:02:54.221292 [debug] [MainThread]: Parsing macros/cross_db_utils/any_value.sql 2022-04-13 05:22:21 normalization > 05:02:54.222655 [debug] [MainThread]: Parsing macros/cross_db_utils/datediff.sql 2022-04-13 05:22:21 normalization > 05:02:54.232574 [debug] [MainThread]: Parsing macros/schema_tests/test_unique_where.sql 2022-04-13 05:22:21 normalization > 05:02:54.234083 [debug] [MainThread]: Parsing macros/schema_tests/unique_combination_of_columns.sql 2022-04-13 05:22:21 normalization > 05:02:54.236952 [debug] [MainThread]: Parsing macros/schema_tests/mutually_exclusive_ranges.sql 2022-04-13 05:22:21 normalization > 05:02:54.245711 [debug] [MainThread]: Parsing macros/schema_tests/not_null_proportion.sql 2022-04-13 05:22:21 normalization > 05:02:54.247987 [debug] [MainThread]: Parsing macros/schema_tests/equal_rowcount.sql 2022-04-13 05:22:21 normalization > 05:02:54.249713 [debug] [MainThread]: Parsing macros/schema_tests/relationships_where.sql 2022-04-13 05:22:21 normalization > 05:02:54.251967 [debug] [MainThread]: Parsing macros/schema_tests/sequential_values.sql 2022-04-13 05:22:21 normalization > 05:02:54.254998 [debug] [MainThread]: Parsing macros/schema_tests/accepted_range.sql 2022-04-13 05:22:21 normalization > 05:02:54.257514 [debug] [MainThread]: Parsing macros/schema_tests/test_not_null_where.sql 2022-04-13 05:22:21 normalization > 05:02:54.259001 [debug] [MainThread]: Parsing macros/schema_tests/not_accepted_values.sql 2022-04-13 05:22:21 normalization > 05:02:54.261167 [debug] [MainThread]: Parsing macros/schema_tests/fewer_rows_than.sql 2022-04-13 05:22:21 normalization > 05:02:54.262879 [debug] [MainThread]: Parsing macros/schema_tests/expression_is_true.sql 2022-04-13 05:22:21 normalization > 05:02:54.264893 [debug] [MainThread]: Parsing macros/schema_tests/at_least_one.sql 2022-04-13 05:22:21 normalization > 05:02:54.266337 [debug] [MainThread]: Parsing macros/schema_tests/not_constant.sql 2022-04-13 05:22:21 normalization > 05:02:54.267662 [debug] [MainThread]: Parsing macros/schema_tests/recency.sql 2022-04-13 05:22:21 normalization > 05:02:54.269531 [debug] [MainThread]: Parsing macros/schema_tests/equality.sql 2022-04-13 05:22:21 normalization > 05:02:54.273375 [debug] [MainThread]: Parsing macros/schema_tests/cardinality_equality.sql 2022-04-13 05:22:21 normalization > 05:02:54.275460 [debug] [MainThread]: Parsing macros/web/get_url_host.sql 2022-04-13 05:22:21 normalization > 05:02:54.277465 [debug] [MainThread]: Parsing macros/web/get_url_path.sql 2022-04-13 05:22:21 normalization > 05:02:54.280075 [debug] [MainThread]: Parsing macros/web/get_url_parameter.sql 2022-04-13 05:22:21 normalization > 05:02:54.281734 [debug] [MainThread]: Parsing macros/sql/nullcheck.sql 2022-04-13 05:22:21 normalization > 05:02:54.283469 [debug] [MainThread]: Parsing macros/sql/get_table_types_sql.sql 2022-04-13 05:22:21 normalization > 05:02:54.284794 [debug] [MainThread]: Parsing macros/sql/get_relations_by_pattern.sql 2022-04-13 05:22:21 normalization > 05:02:54.288392 [debug] [MainThread]: Parsing macros/sql/date_spine.sql 2022-04-13 05:22:21 normalization > 05:02:54.292652 [debug] [MainThread]: Parsing macros/sql/safe_add.sql 2022-04-13 05:22:21 normalization > 05:02:54.294364 [debug] [MainThread]: Parsing macros/sql/union.sql 2022-04-13 05:22:21 normalization > 05:02:54.304955 [debug] [MainThread]: Parsing macros/sql/generate_series.sql 2022-04-13 05:22:21 normalization > 05:02:54.309397 [debug] [MainThread]: Parsing macros/sql/unpivot.sql 2022-04-13 05:22:21 normalization > 05:02:54.317214 [debug] [MainThread]: Parsing macros/sql/haversine_distance.sql 2022-04-13 05:22:21 normalization > 05:02:54.323183 [debug] [MainThread]: Parsing macros/sql/get_tables_by_prefix_sql.sql 2022-04-13 05:22:21 normalization > 05:02:54.324967 [debug] [MainThread]: Parsing macros/sql/get_relations_by_prefix.sql 2022-04-13 05:22:21 normalization > 05:02:54.328395 [debug] [MainThread]: Parsing macros/sql/pivot.sql 2022-04-13 05:22:21 normalization > 05:02:54.332682 [debug] [MainThread]: Parsing macros/sql/get_column_values.sql 2022-04-13 05:22:21 normalization > 05:02:54.337825 [debug] [MainThread]: Parsing macros/sql/get_query_results_as_dict.sql 2022-04-13 05:22:21 normalization > 05:02:54.340241 [debug] [MainThread]: Parsing macros/sql/nullcheck_table.sql 2022-04-13 05:22:21 normalization > 05:02:54.341923 [debug] [MainThread]: Parsing macros/sql/surrogate_key.sql 2022-04-13 05:22:21 normalization > 05:02:54.345448 [debug] [MainThread]: Parsing macros/sql/get_tables_by_pattern_sql.sql 2022-04-13 05:22:21 normalization > 05:02:54.351669 [debug] [MainThread]: Parsing macros/sql/groupby.sql 2022-04-13 05:22:21 normalization > 05:02:54.353068 [debug] [MainThread]: Parsing macros/sql/star.sql 2022-04-13 05:22:21 normalization > 05:02:54.357517 [debug] [MainThread]: Parsing macros/materializations/insert_by_period_materialization.sql 2022-04-13 05:22:21 normalization > 05:02:54.791069 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_incremental/hubspot_/subscription_changes_changes_causedByEvent.sql 2022-04-13 05:22:21 normalization > 05:02:54.814809 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_incremental/hubspot_/subscription_changes_changes_causedByEvent.sql 2022-04-13 05:22:21 normalization > 05:02:54.816232 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_incremental/hubspot_/engagements_metadata_sender.sql 2022-04-13 05:22:21 normalization > 05:02:54.822350 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_incremental/hubspot_/engagements_metadata_sender.sql 2022-04-13 05:22:21 normalization > 05:02:54.823656 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_incremental/hubspot_/engagements_metadata_from.sql 2022-04-13 05:22:21 normalization > 05:02:54.829651 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_incremental/hubspot_/engagements_metadata_from.sql 2022-04-13 05:22:21 normalization > 05:02:54.830913 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_incremental/hubspot_/engagements_metadata_bcc.sql 2022-04-13 05:22:21 normalization > 05:02:54.836881 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_incremental/hubspot_/engagements_metadata_bcc.sql 2022-04-13 05:22:21 normalization > 05:02:54.838168 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_incremental/hubspot_/engagements_metadata_to.sql 2022-04-13 05:22:21 normalization > 05:02:54.844171 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_incremental/hubspot_/engagements_metadata_to.sql 2022-04-13 05:22:21 normalization > 05:02:54.845442 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_incremental/hubspot_/engagements_metadata_cc.sql 2022-04-13 05:22:21 normalization > 05:02:54.851436 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_incremental/hubspot_/engagements_metadata_cc.sql 2022-04-13 05:22:21 normalization > 05:02:54.852725 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_incremental/hubspot_/tickets_properties.sql 2022-04-13 05:22:21 normalization > 05:02:54.897538 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_incremental/hubspot_/tickets_properties.sql 2022-04-13 05:22:21 normalization > 05:02:54.898910 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_incremental/hubspot_/subscription_changes_changes.sql 2022-04-13 05:22:21 normalization > 05:02:54.904964 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_incremental/hubspot_/subscription_changes_changes.sql 2022-04-13 05:22:21 normalization > 05:02:54.906280 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_incremental/hubspot_/quotes_properties.sql 2022-04-13 05:22:21 normalization > 05:02:54.912446 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_incremental/hubspot_/quotes_properties.sql 2022-04-13 05:22:21 normalization > 05:02:54.913716 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_incremental/hubspot_/products_properties.sql 2022-04-13 05:22:21 normalization > 05:02:54.919707 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_incremental/hubspot_/products_properties.sql 2022-04-13 05:22:21 normalization > 05:02:54.920973 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_incremental/hubspot_/line_items_properties.sql 2022-04-13 05:22:21 normalization > 05:02:54.927884 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_incremental/hubspot_/line_items_properties.sql 2022-04-13 05:22:21 normalization > 05:02:54.929936 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_incremental/hubspot_/engagements_tasks_properties.sql 2022-04-13 05:22:21 normalization > 05:02:54.936817 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_incremental/hubspot_/engagements_tasks_properties.sql 2022-04-13 05:22:21 normalization > 05:02:54.938083 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_incremental/hubspot_/engagements_notes_properties.sql 2022-04-13 05:22:21 normalization > 05:02:54.944079 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_incremental/hubspot_/engagements_notes_properties.sql 2022-04-13 05:22:21 normalization > 05:02:54.945366 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_incremental/hubspot_/engagements_meetings_properties.sql 2022-04-13 05:22:21 normalization > 05:02:54.951393 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_incremental/hubspot_/engagements_meetings_properties.sql 2022-04-13 05:22:21 normalization > 05:02:54.952675 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_incremental/hubspot_/engagements_emails_properties.sql 2022-04-13 05:22:21 normalization > 05:02:54.958777 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_incremental/hubspot_/engagements_emails_properties.sql 2022-04-13 05:22:21 normalization > 05:02:54.960049 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_incremental/hubspot_/engagements_calls_properties.sql 2022-04-13 05:22:21 normalization > 05:02:54.966094 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_incremental/hubspot_/engagements_calls_properties.sql 2022-04-13 05:22:21 normalization > 05:02:54.967349 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_incremental/hubspot_/engagements_associations.sql 2022-04-13 05:22:21 normalization > 05:02:54.973298 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_incremental/hubspot_/engagements_associations.sql 2022-04-13 05:22:21 normalization > 05:02:54.974544 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_incremental/hubspot_/engagements_attachments.sql 2022-04-13 05:22:21 normalization > 05:02:54.981326 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_incremental/hubspot_/engagements_attachments.sql 2022-04-13 05:22:21 normalization > 05:02:54.982530 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_incremental/hubspot_/engagements_metadata.sql 2022-04-13 05:22:21 normalization > 05:02:54.988997 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_incremental/hubspot_/engagements_metadata.sql 2022-04-13 05:22:21 normalization > 05:02:54.990439 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_incremental/hubspot_/email_events_obsoletedBy.sql 2022-04-13 05:22:21 normalization > 05:02:54.996452 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_incremental/hubspot_/email_events_obsoletedBy.sql 2022-04-13 05:22:21 normalization > 05:02:54.997724 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_incremental/hubspot_/email_events_location.sql 2022-04-13 05:22:21 normalization > 05:02:55.003722 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_incremental/hubspot_/email_events_location.sql 2022-04-13 05:22:21 normalization > 05:02:55.005001 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_incremental/hubspot_/email_events_causedBy.sql 2022-04-13 05:22:21 normalization > 05:02:55.010986 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_incremental/hubspot_/email_events_causedBy.sql 2022-04-13 05:22:21 normalization > 05:02:55.012253 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_incremental/hubspot_/email_events_browser.sql 2022-04-13 05:22:21 normalization > 05:02:55.018225 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_incremental/hubspot_/email_events_browser.sql 2022-04-13 05:22:21 normalization > 05:02:55.019469 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_incremental/hubspot_/email_events_sentBy.sql 2022-04-13 05:22:21 normalization > 05:02:55.026634 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_incremental/hubspot_/email_events_sentBy.sql 2022-04-13 05:22:21 normalization > 05:02:55.028004 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_incremental/hubspot_/deals_properties.sql 2022-04-13 05:22:21 normalization > 05:02:55.034892 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_incremental/hubspot_/deals_properties.sql 2022-04-13 05:22:21 normalization > 05:02:55.036171 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_incremental/hubspot_/deals_dealstage.sql 2022-04-13 05:22:21 normalization > 05:02:55.042141 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_incremental/hubspot_/deals_dealstage.sql 2022-04-13 05:22:21 normalization > 05:02:55.043696 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_incremental/hubspot_/contacts_properties.sql 2022-04-13 05:22:21 normalization > 05:02:55.050709 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_incremental/hubspot_/contacts_properties.sql 2022-04-13 05:22:21 normalization > 05:02:55.051947 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_incremental/hubspot_/contact_lists_metaData.sql 2022-04-13 05:22:21 normalization > 05:02:55.057875 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_incremental/hubspot_/contact_lists_metaData.sql 2022-04-13 05:22:21 normalization > 05:02:55.059130 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_incremental/hubspot_/contact_lists_filters.sql 2022-04-13 05:22:21 normalization > 05:02:55.065959 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_incremental/hubspot_/contact_lists_filters.sql 2022-04-13 05:22:21 normalization > 05:02:55.067264 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_incremental/hubspot_/companies_properties.sql 2022-04-13 05:22:21 normalization > 05:02:55.073706 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_incremental/hubspot_/companies_properties.sql 2022-04-13 05:22:21 normalization > 05:02:55.074972 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_incremental/hubspot_/tickets.sql 2022-04-13 05:22:21 normalization > 05:02:55.081014 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_incremental/hubspot_/tickets.sql 2022-04-13 05:22:21 normalization > 05:02:55.082285 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_incremental/hubspot_/subscription_changes.sql 2022-04-13 05:22:21 normalization > 05:02:55.088342 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_incremental/hubspot_/subscription_changes.sql 2022-04-13 05:22:21 normalization > 05:02:55.089592 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_incremental/hubspot_/quotes.sql 2022-04-13 05:22:21 normalization > 05:02:55.095660 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_incremental/hubspot_/quotes.sql 2022-04-13 05:22:21 normalization > 05:02:55.096974 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_incremental/hubspot_/property_history.sql 2022-04-13 05:22:21 normalization > 05:02:55.103117 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_incremental/hubspot_/property_history.sql 2022-04-13 05:22:21 normalization > 05:02:55.104606 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_incremental/hubspot_/products.sql 2022-04-13 05:22:21 normalization > 05:02:55.111552 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_incremental/hubspot_/products.sql 2022-04-13 05:22:21 normalization > 05:02:55.112841 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_incremental/hubspot_/line_items.sql 2022-04-13 05:22:21 normalization > 05:02:55.118847 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_incremental/hubspot_/line_items.sql 2022-04-13 05:22:21 normalization > 05:02:55.120125 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_incremental/hubspot_/engagements_tasks.sql 2022-04-13 05:22:21 normalization > 05:02:55.126210 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_incremental/hubspot_/engagements_tasks.sql 2022-04-13 05:22:21 normalization > 05:02:55.127485 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_incremental/hubspot_/engagements_notes.sql 2022-04-13 05:22:21 normalization > 05:02:55.133512 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_incremental/hubspot_/engagements_notes.sql 2022-04-13 05:22:21 normalization > 05:02:55.134783 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_incremental/hubspot_/engagements_meetings.sql 2022-04-13 05:22:21 normalization > 05:02:55.140979 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_incremental/hubspot_/engagements_meetings.sql 2022-04-13 05:22:21 normalization > 05:02:55.142258 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_incremental/hubspot_/engagements_emails.sql 2022-04-13 05:22:21 normalization > 05:02:55.148413 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_incremental/hubspot_/engagements_emails.sql 2022-04-13 05:22:21 normalization > 05:02:55.149678 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_incremental/hubspot_/engagements_calls.sql 2022-04-13 05:22:21 normalization > 05:02:55.156725 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_incremental/hubspot_/engagements_calls.sql 2022-04-13 05:22:21 normalization > 05:02:55.158160 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_incremental/hubspot_/engagements.sql 2022-04-13 05:22:21 normalization > 05:02:55.164511 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_incremental/hubspot_/engagements.sql 2022-04-13 05:22:21 normalization > 05:02:55.165867 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_incremental/hubspot_/email_events.sql 2022-04-13 05:22:21 normalization > 05:02:55.172363 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_incremental/hubspot_/email_events.sql 2022-04-13 05:22:21 normalization > 05:02:55.173623 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_incremental/hubspot_/deals.sql 2022-04-13 05:22:21 normalization > 05:02:55.179679 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_incremental/hubspot_/deals.sql 2022-04-13 05:22:21 normalization > 05:02:55.180935 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_incremental/hubspot_/contacts.sql 2022-04-13 05:22:21 normalization > 05:02:55.186957 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_incremental/hubspot_/contacts.sql 2022-04-13 05:22:21 normalization > 05:02:55.188226 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_incremental/hubspot_/contact_lists.sql 2022-04-13 05:22:21 normalization > 05:02:55.195110 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_incremental/hubspot_/contact_lists.sql 2022-04-13 05:22:21 normalization > 05:02:55.196381 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_incremental/hubspot_/companies.sql 2022-04-13 05:22:21 normalization > 05:02:55.202438 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_incremental/hubspot_/companies.sql 2022-04-13 05:22:21 normalization > 05:02:55.203702 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_tables/hubspot_/marketing_emails_stats_deviceBreakdown_click_device_type.sql 2022-04-13 05:22:21 normalization > 05:02:55.209298 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_tables/hubspot_/marketing_emails_stats_deviceBreakdown_click_device_type.sql 2022-04-13 05:22:21 normalization > 05:02:55.210539 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_tables/hubspot_/marketing_emails_stats_deviceBreakdown_open_device_type.sql 2022-04-13 05:22:21 normalization > 05:02:55.216054 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_tables/hubspot_/marketing_emails_stats_deviceBreakdown_open_device_type.sql 2022-04-13 05:22:21 normalization > 05:02:55.217298 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_tables/hubspot_/ticket_pipelines_stages_metadata.sql 2022-04-13 05:22:21 normalization > 05:02:55.222851 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_tables/hubspot_/ticket_pipelines_stages_metadata.sql 2022-04-13 05:22:21 normalization > 05:02:55.224094 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_tables/hubspot_/marketing_emails_stats_deviceBreakdown.sql 2022-04-13 05:22:21 normalization > 05:02:55.229660 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_tables/hubspot_/marketing_emails_stats_deviceBreakdown.sql 2022-04-13 05:22:21 normalization > 05:02:55.230900 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_tables/hubspot_/marketing_emails_stats_counters.sql 2022-04-13 05:22:21 normalization > 05:02:55.237301 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_tables/hubspot_/marketing_emails_stats_counters.sql 2022-04-13 05:22:21 normalization > 05:02:55.238537 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_tables/hubspot_/marketing_emails_stats_ratios.sql 2022-04-13 05:22:21 normalization > 05:02:55.244028 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_tables/hubspot_/marketing_emails_stats_ratios.sql 2022-04-13 05:22:21 normalization > 05:02:55.245288 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_tables/hubspot_/forms_displayOptions_style.sql 2022-04-13 05:22:21 normalization > 05:02:55.250787 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_tables/hubspot_/forms_displayOptions_style.sql 2022-04-13 05:22:21 normalization > 05:02:55.252011 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_tables/hubspot_/forms_configuration_postSubmitAction.sql 2022-04-13 05:22:21 normalization > 05:02:55.257493 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_tables/hubspot_/forms_configuration_postSubmitAction.sql 2022-04-13 05:22:21 normalization > 05:02:55.258894 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_tables/hubspot_/forms_fieldGroups_fields.sql 2022-04-13 05:22:21 normalization > 05:02:55.264365 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_tables/hubspot_/forms_fieldGroups_fields.sql 2022-04-13 05:22:21 normalization > 05:02:55.265604 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_tables/hubspot_/deal_pipelines_stages_metadata.sql 2022-04-13 05:22:21 normalization > 05:02:55.271163 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_tables/hubspot_/deal_pipelines_stages_metadata.sql 2022-04-13 05:22:21 normalization > 05:02:55.272411 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_tables/hubspot_/workflows_contactListIds.sql 2022-04-13 05:22:21 normalization > 05:02:55.278934 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_tables/hubspot_/workflows_contactListIds.sql 2022-04-13 05:22:21 normalization > 05:02:55.280175 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_tables/hubspot_/ticket_pipelines_stages.sql 2022-04-13 05:22:21 normalization > 05:02:55.285686 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_tables/hubspot_/ticket_pipelines_stages.sql 2022-04-13 05:22:21 normalization > 05:02:55.286924 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_tables/hubspot_/owners_teams.sql 2022-04-13 05:22:21 normalization > 05:02:55.292406 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_tables/hubspot_/owners_teams.sql 2022-04-13 05:22:21 normalization > 05:02:55.293649 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_tables/hubspot_/marketing_emails_stats.sql 2022-04-13 05:22:21 normalization > 05:02:55.299111 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_tables/hubspot_/marketing_emails_stats.sql 2022-04-13 05:22:21 normalization > 05:02:55.300362 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_tables/hubspot_/forms_displayOptions.sql 2022-04-13 05:22:21 normalization > 05:02:55.305827 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_tables/hubspot_/forms_displayOptions.sql 2022-04-13 05:22:21 normalization > 05:02:55.307053 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_tables/hubspot_/forms_configuration.sql 2022-04-13 05:22:21 normalization > 05:02:55.312633 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_tables/hubspot_/forms_configuration.sql 2022-04-13 05:22:21 normalization > 05:02:55.313876 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_tables/hubspot_/forms_fieldGroups.sql 2022-04-13 05:22:21 normalization > 05:02:55.320370 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_tables/hubspot_/forms_fieldGroups.sql 2022-04-13 05:22:21 normalization > 05:02:55.321611 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_tables/hubspot_/forms_properties.sql 2022-04-13 05:22:21 normalization > 05:02:55.327137 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_tables/hubspot_/forms_properties.sql 2022-04-13 05:22:21 normalization > 05:02:55.328389 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_tables/hubspot_/form_submissions_values.sql 2022-04-13 05:22:21 normalization > 05:02:55.333882 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_tables/hubspot_/form_submissions_values.sql 2022-04-13 05:22:21 normalization > 05:02:55.335115 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_tables/hubspot_/deal_pipelines_stages.sql 2022-04-13 05:22:21 normalization > 05:02:55.340635 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_tables/hubspot_/deal_pipelines_stages.sql 2022-04-13 05:22:21 normalization > 05:02:55.341920 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_tables/hubspot_/campaigns_counters.sql 2022-04-13 05:22:21 normalization > 05:02:55.347427 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_tables/hubspot_/campaigns_counters.sql 2022-04-13 05:22:21 normalization > 05:02:55.348687 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_tables/hubspot_/workflows.sql 2022-04-13 05:22:21 normalization > 05:02:55.354380 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_tables/hubspot_/workflows.sql 2022-04-13 05:22:21 normalization > 05:02:55.355661 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_tables/hubspot_/ticket_pipelines.sql 2022-04-13 05:22:21 normalization > 05:02:55.364392 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_tables/hubspot_/ticket_pipelines.sql 2022-04-13 05:22:21 normalization > 05:02:55.365689 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_tables/hubspot_/owners.sql 2022-04-13 05:22:21 normalization > 05:02:55.371446 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_tables/hubspot_/owners.sql 2022-04-13 05:22:21 normalization > 05:02:55.372738 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_tables/hubspot_/marketing_emails.sql 2022-04-13 05:22:21 normalization > 05:02:55.378601 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_tables/hubspot_/marketing_emails.sql 2022-04-13 05:22:21 normalization > 05:02:55.379877 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_tables/hubspot_/forms.sql 2022-04-13 05:22:21 normalization > 05:02:55.385591 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_tables/hubspot_/forms.sql 2022-04-13 05:22:21 normalization > 05:02:55.387025 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_tables/hubspot_/form_submissions.sql 2022-04-13 05:22:21 normalization > 05:02:55.392721 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_tables/hubspot_/form_submissions.sql 2022-04-13 05:22:21 normalization > 05:02:55.393915 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_tables/hubspot_/deal_pipelines.sql 2022-04-13 05:22:21 normalization > 05:02:55.400961 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_tables/hubspot_/deal_pipelines.sql 2022-04-13 05:22:21 normalization > 05:02:55.402290 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_tables/hubspot_/contacts_list_memberships.sql 2022-04-13 05:22:21 normalization > 05:02:55.407979 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_tables/hubspot_/contacts_list_memberships.sql 2022-04-13 05:22:21 normalization > 05:02:55.409221 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_tables/hubspot_/campaigns.sql 2022-04-13 05:22:21 normalization > 05:02:55.414868 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_tables/hubspot_/campaigns.sql 2022-04-13 05:22:21 normalization > 05:02:55.416033 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/marketing_emails_stats_deviceBreakdown_click_device_type_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:55.437016 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/marketing_emails_stats_deviceBreakdown_click_device_type_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:55.438237 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/marketing_emails_stats_deviceBreakdown_click_device_type_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:55.446482 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/marketing_emails_stats_deviceBreakdown_click_device_type_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:55.447776 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/marketing_emails_stats_deviceBreakdown_click_device_type_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:55.461764 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/marketing_emails_stats_deviceBreakdown_click_device_type_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:55.462936 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/marketing_emails_stats_deviceBreakdown_open_device_type_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:55.469703 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/marketing_emails_stats_deviceBreakdown_open_device_type_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:55.470888 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/marketing_emails_stats_deviceBreakdown_open_device_type_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:55.477252 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/marketing_emails_stats_deviceBreakdown_open_device_type_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:55.478543 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/marketing_emails_stats_deviceBreakdown_open_device_type_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:55.485877 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/marketing_emails_stats_deviceBreakdown_open_device_type_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:55.487296 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/ticket_pipelines_stages_metadata_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:55.493773 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/ticket_pipelines_stages_metadata_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:55.494949 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/ticket_pipelines_stages_metadata_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:55.500986 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/ticket_pipelines_stages_metadata_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:55.502248 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/ticket_pipelines_stages_metadata_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:55.509831 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/ticket_pipelines_stages_metadata_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:55.511004 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/subscription_changes_changes_causedByEvent_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:55.518984 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/subscription_changes_changes_causedByEvent_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:55.520243 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/subscription_changes_changes_causedByEvent_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:55.528328 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/subscription_changes_changes_causedByEvent_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:55.529619 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/subscription_changes_changes_causedByEvent_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:55.536733 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/subscription_changes_changes_causedByEvent_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:55.537905 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/marketing_emails_stats_deviceBreakdown_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:55.544475 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/marketing_emails_stats_deviceBreakdown_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:55.545959 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/marketing_emails_stats_deviceBreakdown_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:55.554218 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/marketing_emails_stats_deviceBreakdown_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:55.555493 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/marketing_emails_stats_deviceBreakdown_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:55.565991 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/marketing_emails_stats_deviceBreakdown_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:55.567181 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/marketing_emails_stats_counters_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:55.576303 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/marketing_emails_stats_counters_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:55.577613 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/marketing_emails_stats_counters_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:55.587716 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/marketing_emails_stats_counters_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:55.589205 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/marketing_emails_stats_counters_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:55.604951 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/marketing_emails_stats_counters_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:55.606119 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/marketing_emails_stats_ratios_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:55.614834 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/marketing_emails_stats_ratios_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:55.616102 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/marketing_emails_stats_ratios_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:55.627151 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/marketing_emails_stats_ratios_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:55.628588 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/marketing_emails_stats_ratios_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:55.641866 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/marketing_emails_stats_ratios_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:55.643314 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/forms_displayOptions_style_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:55.652458 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/forms_displayOptions_style_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:55.653772 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/forms_displayOptions_style_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:55.664324 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/forms_displayOptions_style_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:55.665794 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/forms_displayOptions_style_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:55.679015 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/forms_displayOptions_style_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:55.680519 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/forms_configuration_postSubmitAction_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:55.687005 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/forms_configuration_postSubmitAction_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:55.688215 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/forms_configuration_postSubmitAction_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:55.694187 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/forms_configuration_postSubmitAction_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:55.695445 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/forms_configuration_postSubmitAction_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:55.702069 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/forms_configuration_postSubmitAction_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:55.703263 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/forms_fieldGroups_fields_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:55.713961 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/forms_fieldGroups_fields_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:55.715181 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/forms_fieldGroups_fields_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:55.724914 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/forms_fieldGroups_fields_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:55.726421 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/forms_fieldGroups_fields_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:55.744069 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/forms_fieldGroups_fields_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:55.745271 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/engagements_metadata_sender_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:55.752236 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/engagements_metadata_sender_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:55.753427 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/engagements_metadata_sender_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:55.760412 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/engagements_metadata_sender_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:55.761665 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/engagements_metadata_sender_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:55.768072 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/engagements_metadata_sender_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:55.769266 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/engagements_metadata_from_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:55.776578 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/engagements_metadata_from_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:55.778043 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/engagements_metadata_from_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:55.785277 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/engagements_metadata_from_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:55.786551 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/engagements_metadata_from_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:55.796044 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/engagements_metadata_from_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:55.797529 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/engagements_metadata_bcc_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:55.805163 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/engagements_metadata_bcc_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:55.806340 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/engagements_metadata_bcc_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:55.853972 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/engagements_metadata_bcc_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:55.855373 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/engagements_metadata_bcc_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:55.863181 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/engagements_metadata_bcc_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:55.864406 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/engagements_metadata_to_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:55.871759 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/engagements_metadata_to_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:55.872980 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/engagements_metadata_to_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:55.880069 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/engagements_metadata_to_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:55.881600 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/engagements_metadata_to_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:55.893143 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/engagements_metadata_to_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:55.894329 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/engagements_metadata_cc_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:55.902723 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/engagements_metadata_cc_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:55.903923 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/engagements_metadata_cc_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:55.910957 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/engagements_metadata_cc_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:55.912325 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/engagements_metadata_cc_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:55.922739 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/engagements_metadata_cc_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:55.923935 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/deal_pipelines_stages_metadata_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:55.930508 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/deal_pipelines_stages_metadata_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:55.931689 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/deal_pipelines_stages_metadata_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:55.937707 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/deal_pipelines_stages_metadata_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:55.938958 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/deal_pipelines_stages_metadata_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:55.946457 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/deal_pipelines_stages_metadata_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:55.947632 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/workflows_contactListIds_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:55.956556 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/workflows_contactListIds_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:55.957734 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/workflows_contactListIds_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:55.963704 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/workflows_contactListIds_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:55.964975 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/workflows_contactListIds_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:55.974628 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/workflows_contactListIds_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:55.976032 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/tickets_properties_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:56.004553 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/tickets_properties_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:56.006854 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/tickets_properties_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:56.064040 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/tickets_properties_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:56.066899 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/tickets_properties_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:56.140216 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/tickets_properties_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:56.141414 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/ticket_pipelines_stages_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:56.149716 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/ticket_pipelines_stages_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:56.150938 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/ticket_pipelines_stages_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:56.158568 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/ticket_pipelines_stages_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:56.159970 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/ticket_pipelines_stages_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:56.172987 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/ticket_pipelines_stages_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:56.174182 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/subscription_changes_changes_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:56.182074 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/subscription_changes_changes_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:56.183571 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/subscription_changes_changes_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:56.192377 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/subscription_changes_changes_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:56.193772 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/subscription_changes_changes_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:56.207150 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/subscription_changes_changes_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:56.208532 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/quotes_properties_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:56.235836 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/quotes_properties_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:56.237841 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/quotes_properties_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:56.276215 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/quotes_properties_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:56.278792 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/quotes_properties_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:56.341789 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/quotes_properties_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:56.343056 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/products_properties_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:56.356274 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/products_properties_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:56.357785 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/products_properties_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:56.375060 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/products_properties_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:56.376817 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/products_properties_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:56.403871 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/products_properties_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:56.405067 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/owners_teams_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:56.411835 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/owners_teams_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:56.413030 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/owners_teams_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:56.419467 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/owners_teams_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:56.420818 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/owners_teams_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:56.430009 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/owners_teams_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:56.431220 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/marketing_emails_stats_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:56.439161 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/marketing_emails_stats_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:56.440449 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/marketing_emails_stats_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:56.447025 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/marketing_emails_stats_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:56.448386 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/marketing_emails_stats_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:56.457355 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/marketing_emails_stats_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:56.458619 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/line_items_properties_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:56.474523 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/line_items_properties_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:56.476158 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/line_items_properties_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:56.500062 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/line_items_properties_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:56.502232 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/line_items_properties_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:56.539025 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/line_items_properties_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:56.540227 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/forms_displayOptions_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:56.547766 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/forms_displayOptions_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:56.548984 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/forms_displayOptions_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:56.556187 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/forms_displayOptions_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:56.557508 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/forms_displayOptions_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:56.565746 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/forms_displayOptions_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:56.566946 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/forms_configuration_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:56.577677 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/forms_configuration_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:56.578886 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/forms_configuration_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:56.587486 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/forms_configuration_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:56.588887 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/forms_configuration_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:56.601734 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/forms_configuration_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:56.603243 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/forms_fieldGroups_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:56.611089 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/forms_fieldGroups_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:56.612300 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/forms_fieldGroups_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:56.618354 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/forms_fieldGroups_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:56.619674 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/forms_fieldGroups_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:56.628690 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/forms_fieldGroups_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:56.629897 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/forms_properties_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:56.639974 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/forms_properties_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:56.641343 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/forms_properties_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:56.653989 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/forms_properties_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:56.655523 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/forms_properties_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:56.674474 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/forms_properties_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:56.675666 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/form_submissions_values_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:56.682366 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/form_submissions_values_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:56.683562 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/form_submissions_values_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:56.689941 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/form_submissions_values_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:56.691269 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/form_submissions_values_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:56.700487 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/form_submissions_values_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:56.701994 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/engagements_tasks_properties_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:56.723971 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/engagements_tasks_properties_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:56.725835 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/engagements_tasks_properties_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:56.753759 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/engagements_tasks_properties_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:56.756382 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/engagements_tasks_properties_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:56.802880 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/engagements_tasks_properties_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:56.804164 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/engagements_notes_properties_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:56.818782 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/engagements_notes_properties_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:56.820607 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/engagements_notes_properties_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:56.838688 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/engagements_notes_properties_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:56.840477 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/engagements_notes_properties_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:56.868738 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/engagements_notes_properties_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:56.870021 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/engagements_meetings_properties_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:56.887588 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/engagements_meetings_properties_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:56.889636 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/engagements_meetings_properties_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:56.914548 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/engagements_meetings_properties_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:56.916631 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/engagements_meetings_properties_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:56.963509 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/engagements_meetings_properties_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:56.965012 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/engagements_emails_properties_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:56.991370 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/engagements_emails_properties_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:56.993566 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/engagements_emails_properties_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:57.029868 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/engagements_emails_properties_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:57.032743 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/engagements_emails_properties_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:57.136053 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/engagements_emails_properties_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:57.137866 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/engagements_calls_properties_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:57.157753 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/engagements_calls_properties_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:57.159895 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/engagements_calls_properties_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:57.185342 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/engagements_calls_properties_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:57.187557 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/engagements_calls_properties_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:57.230366 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/engagements_calls_properties_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:57.231585 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/engagements_associations_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:57.241107 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/engagements_associations_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:57.242728 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/engagements_associations_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:57.248989 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/engagements_associations_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:57.250499 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/engagements_associations_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:57.260180 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/engagements_associations_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:57.261379 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/engagements_attachments_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:57.268431 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/engagements_attachments_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:57.269621 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/engagements_attachments_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:57.275885 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/engagements_attachments_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:57.277231 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/engagements_attachments_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:57.284878 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/engagements_attachments_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:57.286216 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/engagements_metadata_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:57.305782 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/engagements_metadata_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:57.307396 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/engagements_metadata_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:57.328246 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/engagements_metadata_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:57.329923 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/engagements_metadata_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:57.368872 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/engagements_metadata_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:57.370071 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/email_events_obsoletedBy_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:57.377125 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/email_events_obsoletedBy_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:57.378566 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/email_events_obsoletedBy_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:57.384966 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/email_events_obsoletedBy_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:57.386274 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/email_events_obsoletedBy_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:57.393358 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/email_events_obsoletedBy_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:57.394535 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/email_events_location_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:57.402514 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/email_events_location_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:57.403747 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/email_events_location_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:57.412288 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/email_events_location_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:57.413644 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/email_events_location_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:57.423435 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/email_events_location_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:57.424940 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/email_events_causedBy_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:57.431911 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/email_events_causedBy_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:57.433100 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/email_events_causedBy_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:57.439613 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/email_events_causedBy_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:57.440926 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/email_events_causedBy_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:57.448387 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/email_events_causedBy_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:57.449596 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/email_events_browser_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:57.458979 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/email_events_browser_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:57.460263 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/email_events_browser_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:57.468109 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/email_events_browser_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:57.469536 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/email_events_browser_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:57.480127 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/email_events_browser_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:57.481321 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/email_events_sentBy_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:57.488337 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/email_events_sentBy_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:57.489542 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/email_events_sentBy_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:57.496090 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/email_events_sentBy_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:57.497635 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/email_events_sentBy_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:57.505847 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/email_events_sentBy_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:57.507845 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/deals_properties_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:57.585564 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/deals_properties_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:57.589859 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/deals_properties_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:57.742034 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/deals_properties_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:57.748480 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/deals_properties_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:57.982250 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/deals_properties_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:57.983589 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/deals_dealstage_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:57.991406 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/deals_dealstage_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:57.992622 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/deals_dealstage_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:57.999252 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/deals_dealstage_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:58.000608 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/deals_dealstage_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:58.009045 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/deals_dealstage_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:58.010257 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/deal_pipelines_stages_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:58.017979 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/deal_pipelines_stages_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:58.019214 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/deal_pipelines_stages_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:58.026941 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/deal_pipelines_stages_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:58.028372 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/deal_pipelines_stages_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:58.041593 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/deal_pipelines_stages_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:58.043812 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/contacts_properties_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:58.141675 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/contacts_properties_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:58.146919 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/contacts_properties_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:58.327594 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/contacts_properties_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:58.335333 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/contacts_properties_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:58.679125 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/contacts_properties_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:58.680553 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/contact_lists_metaData_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:58.688807 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/contact_lists_metaData_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:58.690070 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/contact_lists_metaData_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:58.697605 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/contact_lists_metaData_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:58.698976 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/contact_lists_metaData_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:58.708633 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/contact_lists_metaData_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:58.709819 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/contact_lists_filters_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:58.717940 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/contact_lists_filters_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:58.719187 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/contact_lists_filters_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:58.727873 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/contact_lists_filters_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:58.729329 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/contact_lists_filters_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:58.742406 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/contact_lists_filters_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:58.743976 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/companies_properties_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:58.787027 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/companies_properties_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:58.789926 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/companies_properties_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:58.871337 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/companies_properties_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:58.875255 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/companies_properties_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:58.998745 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/companies_properties_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:58.999974 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/campaigns_counters_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:59.009427 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/campaigns_counters_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:59.010770 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/campaigns_counters_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:59.021765 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/campaigns_counters_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:59.023304 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/campaigns_counters_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:59.040226 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/campaigns_counters_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:59.041527 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/workflows_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:59.049786 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/workflows_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:59.051009 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/workflows_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:59.059261 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/workflows_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:59.060671 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/workflows_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:59.072105 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/workflows_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:59.073316 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/tickets_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:59.082374 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/tickets_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:59.083567 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/tickets_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:59.094212 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/tickets_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:59.096162 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/tickets_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:59.112349 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/tickets_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:59.113848 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/ticket_pipelines_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:59.122905 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/ticket_pipelines_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:59.124278 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/ticket_pipelines_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:59.132427 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/ticket_pipelines_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:59.133920 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/ticket_pipelines_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:59.146812 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/ticket_pipelines_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:59.148269 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/subscription_changes_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:59.158587 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/subscription_changes_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:59.159855 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/subscription_changes_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:59.167026 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/subscription_changes_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:59.168645 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/subscription_changes_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:59.177316 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/subscription_changes_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:59.178549 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/quotes_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:59.187122 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/quotes_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:59.188375 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/quotes_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:59.198416 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/quotes_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:59.199831 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/quotes_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:59.211294 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/quotes_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:59.212509 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/property_history_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:59.221163 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/property_history_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:59.222464 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/property_history_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:59.231978 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/property_history_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:59.233505 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/property_history_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:59.245819 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/property_history_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:59.247019 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/products_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:59.255815 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/products_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:59.257025 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/products_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:59.265166 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/products_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:59.266501 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/products_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:59.276066 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/products_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:59.277260 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/owners_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:59.285718 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/owners_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:59.287235 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/owners_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:59.295938 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/owners_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:59.297361 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/owners_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:59.310034 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/owners_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:59.311439 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/marketing_emails_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:59.339605 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/marketing_emails_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:59.341585 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/marketing_emails_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:59.374874 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/marketing_emails_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:59.377527 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/marketing_emails_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:59.440578 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/marketing_emails_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:59.441794 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/line_items_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:59.449934 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/line_items_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:59.451178 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/line_items_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:59.459346 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/line_items_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:59.460725 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/line_items_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:59.470344 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/line_items_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:59.471537 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/forms_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:59.480542 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/forms_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:59.481798 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/forms_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:59.491884 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/forms_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:59.493314 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/forms_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:59.507125 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/forms_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:59.508372 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/form_submissions_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:59.515903 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/form_submissions_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:59.517113 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/form_submissions_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:59.523884 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/form_submissions_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:59.525230 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/form_submissions_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:59.533971 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/form_submissions_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:59.535160 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/engagements_tasks_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:59.545736 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/engagements_tasks_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:59.546927 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/engagements_tasks_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:59.554979 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/engagements_tasks_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:59.556386 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/engagements_tasks_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:59.568535 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/engagements_tasks_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:59.569729 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/engagements_notes_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:59.579391 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/engagements_notes_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:59.580589 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/engagements_notes_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:59.588681 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/engagements_notes_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:59.590059 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/engagements_notes_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:59.603313 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/engagements_notes_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:59.604526 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/engagements_meetings_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:59.614134 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/engagements_meetings_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:59.615361 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/engagements_meetings_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:59.623378 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/engagements_meetings_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:59.624781 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/engagements_meetings_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:59.636989 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/engagements_meetings_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:59.638180 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/engagements_emails_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:59.648869 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/engagements_emails_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:59.650090 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/engagements_emails_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:59.658027 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/engagements_emails_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:59.659419 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/engagements_emails_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:59.671633 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/engagements_emails_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:59.672827 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/engagements_calls_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:59.682472 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/engagements_calls_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:59.683733 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/engagements_calls_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:59.691766 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/engagements_calls_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:59.693148 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/engagements_calls_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:59.706326 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/engagements_calls_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:59.707548 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/engagements_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:59.719929 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/engagements_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:59.721302 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/engagements_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:59.734519 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/engagements_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:59.736155 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/engagements_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:59.758779 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/engagements_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:59.760046 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/email_events_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:59.775359 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/email_events_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:59.776903 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/email_events_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:59.795986 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/email_events_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:59.797573 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/email_events_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:59.831722 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/email_events_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:59.832905 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/deals_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:59.841623 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/deals_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:59.842826 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/deals_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:59.851367 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/deals_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:59.852750 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/deals_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:59.864542 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/deals_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:59.865745 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/deal_pipelines_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:59.875468 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/deal_pipelines_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:59.876729 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/deal_pipelines_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:59.932828 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/deal_pipelines_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:59.934214 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/deal_pipelines_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:59.946737 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/deal_pipelines_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:59.947940 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/contacts_list_memberships_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:59.955610 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/contacts_list_memberships_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:59.957090 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/contacts_list_memberships_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:59.964485 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/contacts_list_memberships_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:59.965857 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/contacts_list_memberships_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:59.975929 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/contacts_list_memberships_ab1.sql 2022-04-13 05:22:21 normalization > 05:02:59.977111 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/contacts_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:59.985616 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/contacts_ab3.sql 2022-04-13 05:22:21 normalization > 05:02:59.986820 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/contacts_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:59.994818 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/contacts_ab2.sql 2022-04-13 05:22:21 normalization > 05:02:59.996175 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/contacts_ab1.sql 2022-04-13 05:22:21 normalization > 05:03:00.006493 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/contacts_ab1.sql 2022-04-13 05:22:21 normalization > 05:03:00.007723 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/contact_lists_ab3.sql 2022-04-13 05:22:21 normalization > 05:03:00.018415 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/contact_lists_ab3.sql 2022-04-13 05:22:21 normalization > 05:03:00.019713 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/contact_lists_ab2.sql 2022-04-13 05:22:21 normalization > 05:03:00.030835 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/contact_lists_ab2.sql 2022-04-13 05:22:21 normalization > 05:03:00.032826 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/contact_lists_ab1.sql 2022-04-13 05:22:21 normalization > 05:03:00.048583 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/contact_lists_ab1.sql 2022-04-13 05:22:21 normalization > 05:03:00.049779 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/companies_ab3.sql 2022-04-13 05:22:21 normalization > 05:03:00.058179 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/companies_ab3.sql 2022-04-13 05:22:21 normalization > 05:03:00.059407 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/companies_ab2.sql 2022-04-13 05:22:21 normalization > 05:03:00.067458 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/companies_ab2.sql 2022-04-13 05:22:21 normalization > 05:03:00.068818 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/companies_ab1.sql 2022-04-13 05:22:21 normalization > 05:03:00.079923 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/companies_ab1.sql 2022-04-13 05:22:21 normalization > 05:03:00.081117 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/campaigns_ab3.sql 2022-04-13 05:22:21 normalization > 05:03:00.089595 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/campaigns_ab3.sql 2022-04-13 05:22:21 normalization > 05:03:00.090889 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/campaigns_ab2.sql 2022-04-13 05:22:21 normalization > 05:03:00.100429 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/campaigns_ab2.sql 2022-04-13 05:22:21 normalization > 05:03:00.101859 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/hubspot_/campaigns_ab1.sql 2022-04-13 05:22:21 normalization > 05:03:00.115670 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/hubspot_/campaigns_ab1.sql 2022-04-13 05:22:21 normalization > 05:03:00.224552 [warn ] [MainThread]: [WARNING]: Configuration paths exist in your dbt_project.yml file which do not apply to any resources. 2022-04-13 05:22:21 normalization > There are 1 unused configuration paths: 2022-04-13 05:22:21 normalization > - models.airbyte_utils.generated.airbyte_views 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 05:03:00.328894 [info ] [MainThread]: Found 308 models, 0 tests, 0 snapshots, 0 analyses, 537 macros, 0 operations, 0 seed files, 26 sources, 0 exposures, 0 metrics 2022-04-13 05:22:21 normalization > 05:03:00.341856 [info ] [MainThread]: 2022-04-13 05:22:21 normalization > 05:03:00.342515 [debug] [MainThread]: Acquiring new bigquery connection "master" 2022-04-13 05:22:21 normalization > 05:03:00.347224 [debug] [ThreadPool]: Acquiring new bigquery connection "list_mansagroup-datascience" 2022-04-13 05:22:21 normalization > 05:03:00.347556 [debug] [ThreadPool]: Opening a new connection, currently in state init 2022-04-13 05:22:21 normalization > 05:03:00.604128 [debug] [ThreadPool]: Acquiring new bigquery connection "list_mansagroup-datascience_hubspot_" 2022-04-13 05:22:21 normalization > 05:03:00.604479 [debug] [ThreadPool]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:00.865810 [info ] [MainThread]: Concurrency: 8 threads (target='prod') 2022-04-13 05:22:21 normalization > 05:03:00.866265 [info ] [MainThread]: 2022-04-13 05:22:21 normalization > 05:03:00.881800 [debug] [Thread-1 ]: Began running node model.airbyte_utils.campaigns_ab1 2022-04-13 05:22:21 normalization > 05:03:00.882072 [debug] [Thread-2 ]: Began running node model.airbyte_utils.companies_ab1 2022-04-13 05:22:21 normalization > 05:03:00.882511 [debug] [Thread-1 ]: Acquiring new bigquery connection "model.airbyte_utils.campaigns_ab1" 2022-04-13 05:22:21 normalization > 05:03:00.882727 [debug] [Thread-3 ]: Began running node model.airbyte_utils.contact_lists_ab1 2022-04-13 05:22:21 normalization > 05:03:00.882999 [debug] [Thread-4 ]: Began running node model.airbyte_utils.contacts_ab1 2022-04-13 05:22:21 normalization > 05:03:00.883425 [debug] [Thread-2 ]: Acquiring new bigquery connection "model.airbyte_utils.companies_ab1" 2022-04-13 05:22:21 normalization > 05:03:00.883637 [debug] [Thread-5 ]: Began running node model.airbyte_utils.contacts_list_memberships_ab1 2022-04-13 05:22:21 normalization > 05:03:00.883866 [debug] [Thread-6 ]: Began running node model.airbyte_utils.deal_pipelines_ab1 2022-04-13 05:22:21 normalization > 05:03:00.884132 [debug] [Thread-7 ]: Began running node model.airbyte_utils.deals_ab1 2022-04-13 05:22:21 normalization > 05:03:00.884340 [debug] [Thread-1 ]: Began compiling node model.airbyte_utils.campaigns_ab1 2022-04-13 05:22:21 normalization > 05:03:00.884528 [debug] [Thread-8 ]: Began running node model.airbyte_utils.email_events_ab1 2022-04-13 05:22:21 normalization > 05:03:00.884979 [debug] [Thread-3 ]: Acquiring new bigquery connection "model.airbyte_utils.contact_lists_ab1" 2022-04-13 05:22:21 normalization > 05:03:00.886437 [debug] [Thread-2 ]: Began compiling node model.airbyte_utils.companies_ab1 2022-04-13 05:22:21 normalization > 05:03:00.887369 [debug] [Thread-5 ]: Acquiring new bigquery connection "model.airbyte_utils.contacts_list_memberships_ab1" 2022-04-13 05:22:21 normalization > 05:03:00.888060 [debug] [Thread-6 ]: Acquiring new bigquery connection "model.airbyte_utils.deal_pipelines_ab1" 2022-04-13 05:22:21 normalization > 05:03:00.888429 [debug] [Thread-4 ]: Acquiring new bigquery connection "model.airbyte_utils.contacts_ab1" 2022-04-13 05:22:21 normalization > 05:03:00.888884 [debug] [Thread-7 ]: Acquiring new bigquery connection "model.airbyte_utils.deals_ab1" 2022-04-13 05:22:21 normalization > 05:03:00.889144 [debug] [Thread-1 ]: Compiling model.airbyte_utils.campaigns_ab1 2022-04-13 05:22:21 normalization > 05:03:00.889588 [debug] [Thread-8 ]: Acquiring new bigquery connection "model.airbyte_utils.email_events_ab1" 2022-04-13 05:22:21 normalization > 05:03:00.889819 [debug] [Thread-3 ]: Began compiling node model.airbyte_utils.contact_lists_ab1 2022-04-13 05:22:21 normalization > 05:03:00.890061 [debug] [Thread-2 ]: Compiling model.airbyte_utils.companies_ab1 2022-04-13 05:22:21 normalization > 05:03:00.890288 [debug] [Thread-5 ]: Began compiling node model.airbyte_utils.contacts_list_memberships_ab1 2022-04-13 05:22:21 normalization > 05:03:00.890510 [debug] [Thread-6 ]: Began compiling node model.airbyte_utils.deal_pipelines_ab1 2022-04-13 05:22:21 normalization > 05:03:00.890735 [debug] [Thread-4 ]: Began compiling node model.airbyte_utils.contacts_ab1 2022-04-13 05:22:21 normalization > 05:03:00.890958 [debug] [Thread-7 ]: Began compiling node model.airbyte_utils.deals_ab1 2022-04-13 05:22:21 normalization > 05:03:00.907567 [debug] [Thread-1 ]: Writing injected SQL for node "model.airbyte_utils.campaigns_ab1" 2022-04-13 05:22:21 normalization > 05:03:00.907759 [debug] [Thread-8 ]: Began compiling node model.airbyte_utils.email_events_ab1 2022-04-13 05:22:21 normalization > 05:03:00.908008 [debug] [Thread-3 ]: Compiling model.airbyte_utils.contact_lists_ab1 2022-04-13 05:22:21 normalization > 05:03:00.917350 [debug] [Thread-5 ]: Compiling model.airbyte_utils.contacts_list_memberships_ab1 2022-04-13 05:22:21 normalization > 05:03:00.918315 [debug] [Thread-2 ]: On "model.airbyte_utils.companies_ab1": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:21 normalization > 05:03:00.918561 [debug] [Thread-6 ]: Compiling model.airbyte_utils.deal_pipelines_ab1 2022-04-13 05:22:21 normalization > 05:03:00.918796 [debug] [Thread-4 ]: Compiling model.airbyte_utils.contacts_ab1 2022-04-13 05:22:21 normalization > 05:03:00.919024 [debug] [Thread-7 ]: Compiling model.airbyte_utils.deals_ab1 2022-04-13 05:22:21 normalization > 05:03:00.919434 [debug] [Thread-8 ]: Compiling model.airbyte_utils.email_events_ab1 2022-04-13 05:22:21 normalization > 05:03:00.941288 [debug] [Thread-3 ]: On "model.airbyte_utils.contact_lists_ab1": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:21 normalization > 05:03:00.948446 [debug] [Thread-5 ]: Writing injected SQL for node "model.airbyte_utils.contacts_list_memberships_ab1" 2022-04-13 05:22:21 normalization > 05:03:00.948724 [debug] [Thread-2 ]: Opening a new connection, currently in state init 2022-04-13 05:22:21 normalization > 05:03:00.968057 [debug] [Thread-6 ]: Writing injected SQL for node "model.airbyte_utils.deal_pipelines_ab1" 2022-04-13 05:22:21 normalization > 05:03:00.974421 [debug] [Thread-4 ]: On "model.airbyte_utils.contacts_ab1": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:21 normalization > 05:03:00.974651 [debug] [Thread-1 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:01.007672 [debug] [Thread-3 ]: Opening a new connection, currently in state init 2022-04-13 05:22:21 normalization > 05:03:01.008697 [debug] [Thread-7 ]: On "model.airbyte_utils.deals_ab1": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:21 normalization > 05:03:01.017967 [debug] [Thread-5 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:01.026142 [debug] [Thread-8 ]: On "model.airbyte_utils.email_events_ab1": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:21 normalization > 05:03:01.026520 [debug] [Thread-4 ]: Opening a new connection, currently in state init 2022-04-13 05:22:21 normalization > 05:03:01.026801 [debug] [Thread-6 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:01.027313 [debug] [Thread-1 ]: Finished running node model.airbyte_utils.campaigns_ab1 2022-04-13 05:22:21 normalization > 05:03:01.028657 [debug] [Thread-7 ]: Opening a new connection, currently in state init 2022-04-13 05:22:21 normalization > 05:03:01.029142 [debug] [Thread-5 ]: Finished running node model.airbyte_utils.contacts_list_memberships_ab1 2022-04-13 05:22:21 normalization > 05:03:01.031001 [debug] [Thread-8 ]: Opening a new connection, currently in state init 2022-04-13 05:22:21 normalization > 05:03:01.031957 [debug] [Thread-6 ]: Finished running node model.airbyte_utils.deal_pipelines_ab1 2022-04-13 05:22:21 normalization > 05:03:01.032253 [debug] [Thread-1 ]: Began running node model.airbyte_utils.engagements_ab1 2022-04-13 05:22:21 normalization > 05:03:01.033893 [debug] [Thread-5 ]: Began running node model.airbyte_utils.engagements_calls_ab1 2022-04-13 05:22:21 normalization > 05:03:01.034958 [debug] [Thread-6 ]: Began running node model.airbyte_utils.engagements_emails_ab1 2022-04-13 05:22:21 normalization > 05:03:01.036014 [debug] [Thread-1 ]: Acquiring new bigquery connection "model.airbyte_utils.engagements_ab1" 2022-04-13 05:22:21 normalization > 05:03:01.038122 [debug] [Thread-5 ]: Acquiring new bigquery connection "model.airbyte_utils.engagements_calls_ab1" 2022-04-13 05:22:21 normalization > 05:03:01.038647 [debug] [Thread-6 ]: Acquiring new bigquery connection "model.airbyte_utils.engagements_emails_ab1" 2022-04-13 05:22:21 normalization > 05:03:01.038949 [debug] [Thread-1 ]: Began compiling node model.airbyte_utils.engagements_ab1 2022-04-13 05:22:21 normalization > 05:03:01.041168 [debug] [Thread-5 ]: Began compiling node model.airbyte_utils.engagements_calls_ab1 2022-04-13 05:22:21 normalization > 05:03:01.043129 [debug] [Thread-6 ]: Began compiling node model.airbyte_utils.engagements_emails_ab1 2022-04-13 05:22:21 normalization > 05:03:01.044262 [debug] [Thread-1 ]: Compiling model.airbyte_utils.engagements_ab1 2022-04-13 05:22:21 normalization > 05:03:01.044621 [debug] [Thread-5 ]: Compiling model.airbyte_utils.engagements_calls_ab1 2022-04-13 05:22:21 normalization > 05:03:01.044857 [debug] [Thread-6 ]: Compiling model.airbyte_utils.engagements_emails_ab1 2022-04-13 05:22:21 normalization > 05:03:01.075094 [debug] [Thread-5 ]: On "model.airbyte_utils.engagements_calls_ab1": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:21 normalization > 05:03:01.091058 [debug] [Thread-1 ]: On "model.airbyte_utils.engagements_ab1": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:21 normalization > 05:03:01.102644 [debug] [Thread-6 ]: On "model.airbyte_utils.engagements_emails_ab1": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:21 normalization > 05:03:01.102964 [debug] [Thread-5 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:01.103550 [debug] [Thread-1 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:01.104351 [debug] [Thread-6 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:01.389275 [debug] [Thread-8 ]: Writing injected SQL for node "model.airbyte_utils.email_events_ab1" 2022-04-13 05:22:21 normalization > 05:03:01.389690 [debug] [Thread-8 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:01.390673 [debug] [Thread-8 ]: Finished running node model.airbyte_utils.email_events_ab1 2022-04-13 05:22:21 normalization > 05:03:01.390922 [debug] [Thread-8 ]: Began running node model.airbyte_utils.engagements_meetings_ab1 2022-04-13 05:22:21 normalization > 05:03:01.391377 [debug] [Thread-1 ]: Writing injected SQL for node "model.airbyte_utils.engagements_ab1" 2022-04-13 05:22:21 normalization > 05:03:01.392029 [debug] [Thread-8 ]: Acquiring new bigquery connection "model.airbyte_utils.engagements_meetings_ab1" 2022-04-13 05:22:21 normalization > 05:03:01.392546 [debug] [Thread-8 ]: Began compiling node model.airbyte_utils.engagements_meetings_ab1 2022-04-13 05:22:21 normalization > 05:03:01.393281 [debug] [Thread-8 ]: Compiling model.airbyte_utils.engagements_meetings_ab1 2022-04-13 05:22:21 normalization > 05:03:01.406185 [debug] [Thread-1 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:01.406706 [debug] [Thread-2 ]: Writing injected SQL for node "model.airbyte_utils.companies_ab1" 2022-04-13 05:22:21 normalization > 05:03:01.407800 [debug] [Thread-8 ]: On "model.airbyte_utils.engagements_meetings_ab1": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:21 normalization > 05:03:01.408333 [debug] [Thread-1 ]: Finished running node model.airbyte_utils.engagements_ab1 2022-04-13 05:22:21 normalization > 05:03:01.408934 [debug] [Thread-7 ]: Writing injected SQL for node "model.airbyte_utils.deals_ab1" 2022-04-13 05:22:21 normalization > 05:03:01.409633 [debug] [Thread-5 ]: Writing injected SQL for node "model.airbyte_utils.engagements_calls_ab1" 2022-04-13 05:22:21 normalization > 05:03:01.409842 [debug] [Thread-2 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:01.410044 [debug] [Thread-8 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:01.410347 [debug] [Thread-1 ]: Began running node model.airbyte_utils.engagements_notes_ab1 2022-04-13 05:22:21 normalization > 05:03:01.411367 [debug] [Thread-7 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:01.411584 [debug] [Thread-5 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:01.412390 [debug] [Thread-2 ]: Finished running node model.airbyte_utils.companies_ab1 2022-04-13 05:22:21 normalization > 05:03:01.413328 [debug] [Thread-4 ]: Writing injected SQL for node "model.airbyte_utils.contacts_ab1" 2022-04-13 05:22:21 normalization > 05:03:01.413924 [debug] [Thread-1 ]: Acquiring new bigquery connection "model.airbyte_utils.engagements_notes_ab1" 2022-04-13 05:22:21 normalization > 05:03:01.414323 [debug] [Thread-6 ]: Writing injected SQL for node "model.airbyte_utils.engagements_emails_ab1" 2022-04-13 05:22:21 normalization > 05:03:01.414820 [debug] [Thread-7 ]: Finished running node model.airbyte_utils.deals_ab1 2022-04-13 05:22:21 normalization > 05:03:01.415298 [debug] [Thread-5 ]: Finished running node model.airbyte_utils.engagements_calls_ab1 2022-04-13 05:22:21 normalization > 05:03:01.416028 [debug] [Thread-2 ]: Began running node model.airbyte_utils.engagements_tasks_ab1 2022-04-13 05:22:21 normalization > 05:03:01.416794 [debug] [Thread-1 ]: Began compiling node model.airbyte_utils.engagements_notes_ab1 2022-04-13 05:22:21 normalization > 05:03:01.416982 [debug] [Thread-4 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:01.417367 [debug] [Thread-3 ]: Writing injected SQL for node "model.airbyte_utils.contact_lists_ab1" 2022-04-13 05:22:21 normalization > 05:03:01.417761 [debug] [Thread-7 ]: Began running node model.airbyte_utils.form_submissions_ab1 2022-04-13 05:22:21 normalization > 05:03:01.418137 [debug] [Thread-5 ]: Began running node model.airbyte_utils.forms_ab1 2022-04-13 05:22:21 normalization > 05:03:01.418361 [debug] [Thread-6 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:01.419275 [debug] [Thread-2 ]: Acquiring new bigquery connection "model.airbyte_utils.engagements_tasks_ab1" 2022-04-13 05:22:21 normalization > 05:03:01.420257 [debug] [Thread-1 ]: Compiling model.airbyte_utils.engagements_notes_ab1 2022-04-13 05:22:21 normalization > 05:03:01.420824 [debug] [Thread-4 ]: Finished running node model.airbyte_utils.contacts_ab1 2022-04-13 05:22:21 normalization > 05:03:01.422976 [debug] [Thread-7 ]: Acquiring new bigquery connection "model.airbyte_utils.form_submissions_ab1" 2022-04-13 05:22:21 normalization > 05:03:01.423179 [debug] [Thread-3 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:01.423599 [debug] [Thread-5 ]: Acquiring new bigquery connection "model.airbyte_utils.forms_ab1" 2022-04-13 05:22:21 normalization > 05:03:01.424023 [debug] [Thread-6 ]: Finished running node model.airbyte_utils.engagements_emails_ab1 2022-04-13 05:22:21 normalization > 05:03:01.424287 [debug] [Thread-2 ]: Began compiling node model.airbyte_utils.engagements_tasks_ab1 2022-04-13 05:22:21 normalization > 05:03:01.434916 [debug] [Thread-4 ]: Began running node model.airbyte_utils.line_items_ab1 2022-04-13 05:22:21 normalization > 05:03:01.437174 [debug] [Thread-1 ]: On "model.airbyte_utils.engagements_notes_ab1": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:21 normalization > 05:03:01.437849 [debug] [Thread-7 ]: Began compiling node model.airbyte_utils.form_submissions_ab1 2022-04-13 05:22:21 normalization > 05:03:01.438319 [debug] [Thread-3 ]: Finished running node model.airbyte_utils.contact_lists_ab1 2022-04-13 05:22:21 normalization > 05:03:01.438545 [debug] [Thread-5 ]: Began compiling node model.airbyte_utils.forms_ab1 2022-04-13 05:22:21 normalization > 05:03:01.438821 [debug] [Thread-6 ]: Began running node model.airbyte_utils.marketing_emails_ab1 2022-04-13 05:22:21 normalization > 05:03:01.439414 [debug] [Thread-2 ]: Compiling model.airbyte_utils.engagements_tasks_ab1 2022-04-13 05:22:21 normalization > 05:03:01.439817 [debug] [Thread-4 ]: Acquiring new bigquery connection "model.airbyte_utils.line_items_ab1" 2022-04-13 05:22:21 normalization > 05:03:01.440053 [debug] [Thread-1 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:01.440317 [debug] [Thread-7 ]: Compiling model.airbyte_utils.form_submissions_ab1 2022-04-13 05:22:21 normalization > 05:03:01.440577 [debug] [Thread-3 ]: Began running node model.airbyte_utils.owners_ab1 2022-04-13 05:22:21 normalization > 05:03:01.441093 [debug] [Thread-5 ]: Compiling model.airbyte_utils.forms_ab1 2022-04-13 05:22:21 normalization > 05:03:01.441489 [debug] [Thread-6 ]: Acquiring new bigquery connection "model.airbyte_utils.marketing_emails_ab1" 2022-04-13 05:22:21 normalization > 05:03:01.444285 [debug] [Thread-4 ]: Began compiling node model.airbyte_utils.line_items_ab1 2022-04-13 05:22:21 normalization > 05:03:01.468273 [debug] [Thread-7 ]: Writing injected SQL for node "model.airbyte_utils.form_submissions_ab1" 2022-04-13 05:22:21 normalization > 05:03:01.468684 [debug] [Thread-3 ]: Acquiring new bigquery connection "model.airbyte_utils.owners_ab1" 2022-04-13 05:22:21 normalization > 05:03:01.472335 [debug] [Thread-2 ]: On "model.airbyte_utils.engagements_tasks_ab1": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:21 normalization > 05:03:01.485177 [debug] [Thread-6 ]: Began compiling node model.airbyte_utils.marketing_emails_ab1 2022-04-13 05:22:21 normalization > 05:03:01.486618 [debug] [Thread-4 ]: Compiling model.airbyte_utils.line_items_ab1 2022-04-13 05:22:21 normalization > 05:03:01.491646 [debug] [Thread-5 ]: Writing injected SQL for node "model.airbyte_utils.forms_ab1" 2022-04-13 05:22:21 normalization > 05:03:01.492092 [debug] [Thread-3 ]: Began compiling node model.airbyte_utils.owners_ab1 2022-04-13 05:22:21 normalization > 05:03:01.492561 [debug] [Thread-7 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:01.492811 [debug] [Thread-2 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:01.493040 [debug] [Thread-6 ]: Compiling model.airbyte_utils.marketing_emails_ab1 2022-04-13 05:22:21 normalization > 05:03:01.502767 [debug] [Thread-4 ]: On "model.airbyte_utils.line_items_ab1": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:21 normalization > 05:03:01.503453 [debug] [Thread-3 ]: Compiling model.airbyte_utils.owners_ab1 2022-04-13 05:22:21 normalization > 05:03:01.503668 [debug] [Thread-5 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:01.504215 [debug] [Thread-7 ]: Finished running node model.airbyte_utils.form_submissions_ab1 2022-04-13 05:22:21 normalization > 05:03:01.514972 [debug] [Thread-4 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:01.550172 [debug] [Thread-5 ]: Finished running node model.airbyte_utils.forms_ab1 2022-04-13 05:22:21 normalization > 05:03:01.556166 [debug] [Thread-3 ]: Writing injected SQL for node "model.airbyte_utils.owners_ab1" 2022-04-13 05:22:21 normalization > 05:03:01.560784 [debug] [Thread-7 ]: Began running node model.airbyte_utils.products_ab1 2022-04-13 05:22:21 normalization > 05:03:01.590430 [debug] [Thread-6 ]: Writing injected SQL for node "model.airbyte_utils.marketing_emails_ab1" 2022-04-13 05:22:21 normalization > 05:03:01.590792 [debug] [Thread-5 ]: Began running node model.airbyte_utils.property_history_ab1 2022-04-13 05:22:21 normalization > 05:03:01.592235 [debug] [Thread-7 ]: Acquiring new bigquery connection "model.airbyte_utils.products_ab1" 2022-04-13 05:22:21 normalization > 05:03:01.592486 [debug] [Thread-3 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:01.594329 [debug] [Thread-6 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:01.594707 [debug] [Thread-5 ]: Acquiring new bigquery connection "model.airbyte_utils.property_history_ab1" 2022-04-13 05:22:21 normalization > 05:03:01.594980 [debug] [Thread-7 ]: Began compiling node model.airbyte_utils.products_ab1 2022-04-13 05:22:21 normalization > 05:03:01.595527 [debug] [Thread-3 ]: Finished running node model.airbyte_utils.owners_ab1 2022-04-13 05:22:21 normalization > 05:03:01.595986 [debug] [Thread-6 ]: Finished running node model.airbyte_utils.marketing_emails_ab1 2022-04-13 05:22:21 normalization > 05:03:01.598931 [debug] [Thread-5 ]: Began compiling node model.airbyte_utils.property_history_ab1 2022-04-13 05:22:21 normalization > 05:03:01.599269 [debug] [Thread-7 ]: Compiling model.airbyte_utils.products_ab1 2022-04-13 05:22:21 normalization > 05:03:01.599704 [debug] [Thread-3 ]: Began running node model.airbyte_utils.quotes_ab1 2022-04-13 05:22:21 normalization > 05:03:01.600239 [debug] [Thread-6 ]: Began running node model.airbyte_utils.subscription_changes_ab1 2022-04-13 05:22:21 normalization > 05:03:01.600944 [debug] [Thread-5 ]: Compiling model.airbyte_utils.property_history_ab1 2022-04-13 05:22:21 normalization > 05:03:01.606600 [debug] [Thread-3 ]: Acquiring new bigquery connection "model.airbyte_utils.quotes_ab1" 2022-04-13 05:22:21 normalization > 05:03:01.610877 [debug] [Thread-6 ]: Acquiring new bigquery connection "model.airbyte_utils.subscription_changes_ab1" 2022-04-13 05:22:21 normalization > 05:03:01.612139 [debug] [Thread-7 ]: On "model.airbyte_utils.products_ab1": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:21 normalization > 05:03:01.624577 [debug] [Thread-5 ]: On "model.airbyte_utils.property_history_ab1": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:21 normalization > 05:03:01.624918 [debug] [Thread-3 ]: Began compiling node model.airbyte_utils.quotes_ab1 2022-04-13 05:22:21 normalization > 05:03:01.626952 [debug] [Thread-6 ]: Began compiling node model.airbyte_utils.subscription_changes_ab1 2022-04-13 05:22:21 normalization > 05:03:01.627207 [debug] [Thread-7 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:01.627459 [debug] [Thread-5 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:01.627718 [debug] [Thread-3 ]: Compiling model.airbyte_utils.quotes_ab1 2022-04-13 05:22:21 normalization > 05:03:01.628248 [debug] [Thread-6 ]: Compiling model.airbyte_utils.subscription_changes_ab1 2022-04-13 05:22:21 normalization > 05:03:01.642615 [debug] [Thread-6 ]: On "model.airbyte_utils.subscription_changes_ab1": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:21 normalization > 05:03:01.646993 [debug] [Thread-6 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:01.655218 [debug] [Thread-3 ]: On "model.airbyte_utils.quotes_ab1": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:21 normalization > 05:03:01.656475 [debug] [Thread-3 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:01.778385 [debug] [Thread-8 ]: Writing injected SQL for node "model.airbyte_utils.engagements_meetings_ab1" 2022-04-13 05:22:21 normalization > 05:03:01.778758 [debug] [Thread-8 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:01.779230 [debug] [Thread-8 ]: Finished running node model.airbyte_utils.engagements_meetings_ab1 2022-04-13 05:22:21 normalization > 05:03:01.779463 [debug] [Thread-8 ]: Began running node model.airbyte_utils.ticket_pipelines_ab1 2022-04-13 05:22:21 normalization > 05:03:01.780093 [debug] [Thread-8 ]: Acquiring new bigquery connection "model.airbyte_utils.ticket_pipelines_ab1" 2022-04-13 05:22:21 normalization > 05:03:01.780444 [debug] [Thread-8 ]: Began compiling node model.airbyte_utils.ticket_pipelines_ab1 2022-04-13 05:22:21 normalization > 05:03:01.780624 [debug] [Thread-8 ]: Compiling model.airbyte_utils.ticket_pipelines_ab1 2022-04-13 05:22:21 normalization > 05:03:01.790002 [debug] [Thread-8 ]: Writing injected SQL for node "model.airbyte_utils.ticket_pipelines_ab1" 2022-04-13 05:22:21 normalization > 05:03:01.790320 [debug] [Thread-8 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:01.791224 [debug] [Thread-8 ]: Finished running node model.airbyte_utils.ticket_pipelines_ab1 2022-04-13 05:22:21 normalization > 05:03:01.791448 [debug] [Thread-8 ]: Began running node model.airbyte_utils.tickets_ab1 2022-04-13 05:22:21 normalization > 05:03:01.791948 [debug] [Thread-8 ]: Acquiring new bigquery connection "model.airbyte_utils.tickets_ab1" 2022-04-13 05:22:21 normalization > 05:03:01.792457 [debug] [Thread-1 ]: Writing injected SQL for node "model.airbyte_utils.engagements_notes_ab1" 2022-04-13 05:22:21 normalization > 05:03:01.792726 [debug] [Thread-8 ]: Began compiling node model.airbyte_utils.tickets_ab1 2022-04-13 05:22:21 normalization > 05:03:01.793099 [debug] [Thread-8 ]: Compiling model.airbyte_utils.tickets_ab1 2022-04-13 05:22:21 normalization > 05:03:01.793305 [debug] [Thread-1 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:01.804424 [debug] [Thread-8 ]: On "model.airbyte_utils.tickets_ab1": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:21 normalization > 05:03:01.804881 [debug] [Thread-1 ]: Finished running node model.airbyte_utils.engagements_notes_ab1 2022-04-13 05:22:21 normalization > 05:03:01.805116 [debug] [Thread-8 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:01.805400 [debug] [Thread-1 ]: Began running node model.airbyte_utils.workflows_ab1 2022-04-13 05:22:21 normalization > 05:03:01.806522 [debug] [Thread-1 ]: Acquiring new bigquery connection "model.airbyte_utils.workflows_ab1" 2022-04-13 05:22:21 normalization > 05:03:01.806713 [debug] [Thread-1 ]: Began compiling node model.airbyte_utils.workflows_ab1 2022-04-13 05:22:21 normalization > 05:03:01.806865 [debug] [Thread-1 ]: Compiling model.airbyte_utils.workflows_ab1 2022-04-13 05:22:21 normalization > 05:03:01.817271 [debug] [Thread-1 ]: Writing injected SQL for node "model.airbyte_utils.workflows_ab1" 2022-04-13 05:22:21 normalization > 05:03:01.818076 [debug] [Thread-1 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:01.818486 [debug] [Thread-1 ]: Finished running node model.airbyte_utils.workflows_ab1 2022-04-13 05:22:21 normalization > 05:03:01.818698 [debug] [Thread-1 ]: Began running node model.airbyte_utils.campaigns_ab2 2022-04-13 05:22:21 normalization > 05:03:01.821205 [debug] [Thread-1 ]: Acquiring new bigquery connection "model.airbyte_utils.campaigns_ab2" 2022-04-13 05:22:21 normalization > 05:03:01.821479 [debug] [Thread-1 ]: Began compiling node model.airbyte_utils.campaigns_ab2 2022-04-13 05:22:21 normalization > 05:03:01.821640 [debug] [Thread-1 ]: Compiling model.airbyte_utils.campaigns_ab2 2022-04-13 05:22:21 normalization > 05:03:01.911080 [debug] [Thread-1 ]: Writing injected SQL for node "model.airbyte_utils.campaigns_ab2" 2022-04-13 05:22:21 normalization > 05:03:01.911629 [debug] [Thread-1 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:01.912080 [debug] [Thread-1 ]: Finished running node model.airbyte_utils.campaigns_ab2 2022-04-13 05:22:21 normalization > 05:03:01.912348 [debug] [Thread-1 ]: Began running node model.airbyte_utils.contacts_list_memberships_ab2 2022-04-13 05:22:21 normalization > 05:03:01.912965 [debug] [Thread-1 ]: Acquiring new bigquery connection "model.airbyte_utils.contacts_list_memberships_ab2" 2022-04-13 05:22:21 normalization > 05:03:01.913288 [debug] [Thread-1 ]: Began compiling node model.airbyte_utils.contacts_list_memberships_ab2 2022-04-13 05:22:21 normalization > 05:03:01.913474 [debug] [Thread-1 ]: Compiling model.airbyte_utils.contacts_list_memberships_ab2 2022-04-13 05:22:21 normalization > 05:03:01.929130 [debug] [Thread-1 ]: Writing injected SQL for node "model.airbyte_utils.contacts_list_memberships_ab2" 2022-04-13 05:22:21 normalization > 05:03:01.931721 [debug] [Thread-3 ]: Writing injected SQL for node "model.airbyte_utils.quotes_ab1" 2022-04-13 05:22:21 normalization > 05:03:01.932215 [debug] [Thread-1 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:01.932732 [debug] [Thread-1 ]: Finished running node model.airbyte_utils.contacts_list_memberships_ab2 2022-04-13 05:22:21 normalization > 05:03:01.933171 [debug] [Thread-1 ]: Began running node model.airbyte_utils.deal_pipelines_ab2 2022-04-13 05:22:21 normalization > 05:03:01.933461 [debug] [Thread-3 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:01.934050 [debug] [Thread-1 ]: Acquiring new bigquery connection "model.airbyte_utils.deal_pipelines_ab2" 2022-04-13 05:22:21 normalization > 05:03:01.934823 [debug] [Thread-4 ]: Writing injected SQL for node "model.airbyte_utils.line_items_ab1" 2022-04-13 05:22:21 normalization > 05:03:01.935228 [debug] [Thread-3 ]: Finished running node model.airbyte_utils.quotes_ab1 2022-04-13 05:22:21 normalization > 05:03:01.935477 [debug] [Thread-1 ]: Began compiling node model.airbyte_utils.deal_pipelines_ab2 2022-04-13 05:22:21 normalization > 05:03:01.935880 [debug] [Thread-3 ]: Began running node model.airbyte_utils.email_events_ab2 2022-04-13 05:22:21 normalization > 05:03:01.936073 [debug] [Thread-4 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:01.936746 [debug] [Thread-1 ]: Compiling model.airbyte_utils.deal_pipelines_ab2 2022-04-13 05:22:21 normalization > 05:03:01.937122 [debug] [Thread-3 ]: Acquiring new bigquery connection "model.airbyte_utils.email_events_ab2" 2022-04-13 05:22:21 normalization > 05:03:01.937654 [debug] [Thread-4 ]: Finished running node model.airbyte_utils.line_items_ab1 2022-04-13 05:22:21 normalization > 05:03:01.952029 [debug] [Thread-3 ]: Began compiling node model.airbyte_utils.email_events_ab2 2022-04-13 05:22:21 normalization > 05:03:01.958043 [debug] [Thread-5 ]: Writing injected SQL for node "model.airbyte_utils.property_history_ab1" 2022-04-13 05:22:21 normalization > 05:03:01.959329 [debug] [Thread-1 ]: Writing injected SQL for node "model.airbyte_utils.deal_pipelines_ab2" 2022-04-13 05:22:21 normalization > 05:03:01.959862 [debug] [Thread-2 ]: Writing injected SQL for node "model.airbyte_utils.engagements_tasks_ab1" 2022-04-13 05:22:21 normalization > 05:03:01.960101 [debug] [Thread-4 ]: Began running node model.airbyte_utils.engagements_ab2 2022-04-13 05:22:21 normalization > 05:03:01.960615 [debug] [Thread-7 ]: Writing injected SQL for node "model.airbyte_utils.products_ab1" 2022-04-13 05:22:21 normalization > 05:03:01.961172 [debug] [Thread-3 ]: Compiling model.airbyte_utils.email_events_ab2 2022-04-13 05:22:21 normalization > 05:03:01.962037 [debug] [Thread-6 ]: Writing injected SQL for node "model.airbyte_utils.subscription_changes_ab1" 2022-04-13 05:22:21 normalization > 05:03:01.962517 [debug] [Thread-5 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:01.962873 [debug] [Thread-1 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:01.963127 [debug] [Thread-2 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:01.963515 [debug] [Thread-4 ]: Acquiring new bigquery connection "model.airbyte_utils.engagements_ab2" 2022-04-13 05:22:21 normalization > 05:03:01.974106 [debug] [Thread-7 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:01.979824 [debug] [Thread-5 ]: Finished running node model.airbyte_utils.property_history_ab1 2022-04-13 05:22:21 normalization > 05:03:01.983376 [debug] [Thread-3 ]: On "model.airbyte_utils.email_events_ab2": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:21 normalization > 05:03:01.983847 [debug] [Thread-1 ]: Finished running node model.airbyte_utils.deal_pipelines_ab2 2022-04-13 05:22:21 normalization > 05:03:01.984032 [debug] [Thread-6 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:01.984504 [debug] [Thread-2 ]: Finished running node model.airbyte_utils.engagements_tasks_ab1 2022-04-13 05:22:21 normalization > 05:03:01.984744 [debug] [Thread-4 ]: Began compiling node model.airbyte_utils.engagements_ab2 2022-04-13 05:22:21 normalization > 05:03:01.985158 [debug] [Thread-7 ]: Finished running node model.airbyte_utils.products_ab1 2022-04-13 05:22:21 normalization > 05:03:01.985442 [debug] [Thread-5 ]: Began running node model.airbyte_utils.companies_ab2 2022-04-13 05:22:21 normalization > 05:03:01.985905 [debug] [Thread-3 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:01.986278 [debug] [Thread-1 ]: Began running node model.airbyte_utils.deals_ab2 2022-04-13 05:22:21 normalization > 05:03:01.986910 [debug] [Thread-6 ]: Finished running node model.airbyte_utils.subscription_changes_ab1 2022-04-13 05:22:21 normalization > 05:03:01.987280 [debug] [Thread-2 ]: Began running node model.airbyte_utils.engagements_calls_ab2 2022-04-13 05:22:21 normalization > 05:03:01.987712 [debug] [Thread-4 ]: Compiling model.airbyte_utils.engagements_ab2 2022-04-13 05:22:21 normalization > 05:03:01.988078 [debug] [Thread-7 ]: Began running node model.airbyte_utils.contacts_ab2 2022-04-13 05:22:21 normalization > 05:03:01.988685 [debug] [Thread-5 ]: Acquiring new bigquery connection "model.airbyte_utils.companies_ab2" 2022-04-13 05:22:21 normalization > 05:03:01.989371 [debug] [Thread-1 ]: Acquiring new bigquery connection "model.airbyte_utils.deals_ab2" 2022-04-13 05:22:21 normalization > 05:03:01.989670 [debug] [Thread-6 ]: Began running node model.airbyte_utils.engagements_emails_ab2 2022-04-13 05:22:21 normalization > 05:03:01.990386 [debug] [Thread-2 ]: Acquiring new bigquery connection "model.airbyte_utils.engagements_calls_ab2" 2022-04-13 05:22:21 normalization > 05:03:02.001604 [debug] [Thread-7 ]: Acquiring new bigquery connection "model.airbyte_utils.contacts_ab2" 2022-04-13 05:22:21 normalization > 05:03:02.004606 [debug] [Thread-4 ]: On "model.airbyte_utils.engagements_ab2": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:21 normalization > 05:03:02.005588 [debug] [Thread-5 ]: Began compiling node model.airbyte_utils.companies_ab2 2022-04-13 05:22:21 normalization > 05:03:02.005944 [debug] [Thread-1 ]: Began compiling node model.airbyte_utils.deals_ab2 2022-04-13 05:22:21 normalization > 05:03:02.006449 [debug] [Thread-6 ]: Acquiring new bigquery connection "model.airbyte_utils.engagements_emails_ab2" 2022-04-13 05:22:21 normalization > 05:03:02.006757 [debug] [Thread-2 ]: Began compiling node model.airbyte_utils.engagements_calls_ab2 2022-04-13 05:22:21 normalization > 05:03:02.008593 [debug] [Thread-7 ]: Began compiling node model.airbyte_utils.contacts_ab2 2022-04-13 05:22:21 normalization > 05:03:02.008838 [debug] [Thread-4 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:02.009085 [debug] [Thread-5 ]: Compiling model.airbyte_utils.companies_ab2 2022-04-13 05:22:21 normalization > 05:03:02.009339 [debug] [Thread-1 ]: Compiling model.airbyte_utils.deals_ab2 2022-04-13 05:22:21 normalization > 05:03:02.009568 [debug] [Thread-6 ]: Began compiling node model.airbyte_utils.engagements_emails_ab2 2022-04-13 05:22:21 normalization > 05:03:02.009835 [debug] [Thread-2 ]: Compiling model.airbyte_utils.engagements_calls_ab2 2022-04-13 05:22:21 normalization > 05:03:02.010054 [debug] [Thread-7 ]: Compiling model.airbyte_utils.contacts_ab2 2022-04-13 05:22:21 normalization > 05:03:02.017373 [debug] [Thread-5 ]: On "model.airbyte_utils.companies_ab2": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:21 normalization > 05:03:02.026285 [debug] [Thread-1 ]: On "model.airbyte_utils.deals_ab2": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:21 normalization > 05:03:02.026653 [debug] [Thread-6 ]: Compiling model.airbyte_utils.engagements_emails_ab2 2022-04-13 05:22:21 normalization > 05:03:02.034231 [debug] [Thread-2 ]: On "model.airbyte_utils.engagements_calls_ab2": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:21 normalization > 05:03:02.043145 [debug] [Thread-7 ]: On "model.airbyte_utils.contacts_ab2": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:21 normalization > 05:03:02.043459 [debug] [Thread-5 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:02.043742 [debug] [Thread-1 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:02.052109 [debug] [Thread-6 ]: On "model.airbyte_utils.engagements_emails_ab2": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:21 normalization > 05:03:02.052525 [debug] [Thread-2 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:02.052856 [debug] [Thread-7 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:02.054153 [debug] [Thread-6 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:02.203425 [debug] [Thread-8 ]: Writing injected SQL for node "model.airbyte_utils.tickets_ab1" 2022-04-13 05:22:21 normalization > 05:03:02.203782 [debug] [Thread-8 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:02.204258 [debug] [Thread-8 ]: Finished running node model.airbyte_utils.tickets_ab1 2022-04-13 05:22:21 normalization > 05:03:02.204500 [debug] [Thread-8 ]: Began running node model.airbyte_utils.contact_lists_ab2 2022-04-13 05:22:21 normalization > 05:03:02.205104 [debug] [Thread-8 ]: Acquiring new bigquery connection "model.airbyte_utils.contact_lists_ab2" 2022-04-13 05:22:21 normalization > 05:03:02.205434 [debug] [Thread-8 ]: Began compiling node model.airbyte_utils.contact_lists_ab2 2022-04-13 05:22:21 normalization > 05:03:02.205635 [debug] [Thread-8 ]: Compiling model.airbyte_utils.contact_lists_ab2 2022-04-13 05:22:21 normalization > 05:03:02.215289 [debug] [Thread-8 ]: On "model.airbyte_utils.contact_lists_ab2": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:21 normalization > 05:03:02.215488 [debug] [Thread-8 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:02.359026 [debug] [Thread-2 ]: Writing injected SQL for node "model.airbyte_utils.engagements_calls_ab2" 2022-04-13 05:22:21 normalization > 05:03:02.361073 [debug] [Thread-2 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:02.368619 [debug] [Thread-7 ]: Writing injected SQL for node "model.airbyte_utils.contacts_ab2" 2022-04-13 05:22:21 normalization > 05:03:02.381898 [debug] [Thread-6 ]: Writing injected SQL for node "model.airbyte_utils.engagements_emails_ab2" 2022-04-13 05:22:21 normalization > 05:03:02.382393 [debug] [Thread-2 ]: Finished running node model.airbyte_utils.engagements_calls_ab2 2022-04-13 05:22:21 normalization > 05:03:02.398246 [debug] [Thread-7 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:02.409187 [debug] [Thread-6 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:02.411247 [debug] [Thread-3 ]: Writing injected SQL for node "model.airbyte_utils.email_events_ab2" 2022-04-13 05:22:21 normalization > 05:03:02.421943 [debug] [Thread-2 ]: Began running node model.airbyte_utils.form_submissions_ab2 2022-04-13 05:22:21 normalization > 05:03:02.429722 [debug] [Thread-4 ]: Writing injected SQL for node "model.airbyte_utils.engagements_ab2" 2022-04-13 05:22:21 normalization > 05:03:02.437550 [debug] [Thread-1 ]: Writing injected SQL for node "model.airbyte_utils.deals_ab2" 2022-04-13 05:22:21 normalization > 05:03:02.438151 [debug] [Thread-7 ]: Finished running node model.airbyte_utils.contacts_ab2 2022-04-13 05:22:21 normalization > 05:03:02.438663 [debug] [Thread-6 ]: Finished running node model.airbyte_utils.engagements_emails_ab2 2022-04-13 05:22:21 normalization > 05:03:02.439288 [debug] [Thread-2 ]: Acquiring new bigquery connection "model.airbyte_utils.form_submissions_ab2" 2022-04-13 05:22:21 normalization > 05:03:02.439488 [debug] [Thread-3 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:02.440091 [debug] [Thread-7 ]: Began running node model.airbyte_utils.forms_ab2 2022-04-13 05:22:21 normalization > 05:03:02.440545 [debug] [Thread-4 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:02.440919 [debug] [Thread-1 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:02.441130 [debug] [Thread-6 ]: Began running node model.airbyte_utils.owners_ab2 2022-04-13 05:22:21 normalization > 05:03:02.441563 [debug] [Thread-2 ]: Began compiling node model.airbyte_utils.form_submissions_ab2 2022-04-13 05:22:21 normalization > 05:03:02.442080 [debug] [Thread-3 ]: Finished running node model.airbyte_utils.email_events_ab2 2022-04-13 05:22:21 normalization > 05:03:02.442518 [debug] [Thread-7 ]: Acquiring new bigquery connection "model.airbyte_utils.forms_ab2" 2022-04-13 05:22:21 normalization > 05:03:02.442985 [debug] [Thread-4 ]: Finished running node model.airbyte_utils.engagements_ab2 2022-04-13 05:22:21 normalization > 05:03:02.443418 [debug] [Thread-1 ]: Finished running node model.airbyte_utils.deals_ab2 2022-04-13 05:22:21 normalization > 05:03:02.443840 [debug] [Thread-6 ]: Acquiring new bigquery connection "model.airbyte_utils.owners_ab2" 2022-04-13 05:22:21 normalization > 05:03:02.444524 [debug] [Thread-2 ]: Compiling model.airbyte_utils.form_submissions_ab2 2022-04-13 05:22:21 normalization > 05:03:02.444868 [debug] [Thread-3 ]: Began running node model.airbyte_utils.marketing_emails_ab2 2022-04-13 05:22:21 normalization > 05:03:02.445359 [debug] [Thread-7 ]: Began compiling node model.airbyte_utils.forms_ab2 2022-04-13 05:22:21 normalization > 05:03:02.452410 [debug] [Thread-5 ]: Writing injected SQL for node "model.airbyte_utils.companies_ab2" 2022-04-13 05:22:21 normalization > 05:03:02.452665 [debug] [Thread-4 ]: Began running node model.airbyte_utils.engagements_meetings_ab2 2022-04-13 05:22:21 normalization > 05:03:02.453129 [debug] [Thread-1 ]: Began running node model.airbyte_utils.ticket_pipelines_ab2 2022-04-13 05:22:21 normalization > 05:03:02.453673 [debug] [Thread-6 ]: Began compiling node model.airbyte_utils.owners_ab2 2022-04-13 05:22:21 normalization > 05:03:02.459009 [debug] [Thread-3 ]: Acquiring new bigquery connection "model.airbyte_utils.marketing_emails_ab2" 2022-04-13 05:22:21 normalization > 05:03:02.459629 [debug] [Thread-7 ]: Compiling model.airbyte_utils.forms_ab2 2022-04-13 05:22:21 normalization > 05:03:02.461143 [debug] [Thread-4 ]: Acquiring new bigquery connection "model.airbyte_utils.engagements_meetings_ab2" 2022-04-13 05:22:21 normalization > 05:03:02.461347 [debug] [Thread-5 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:02.467095 [debug] [Thread-1 ]: Acquiring new bigquery connection "model.airbyte_utils.ticket_pipelines_ab2" 2022-04-13 05:22:21 normalization > 05:03:02.470168 [debug] [Thread-2 ]: Writing injected SQL for node "model.airbyte_utils.form_submissions_ab2" 2022-04-13 05:22:21 normalization > 05:03:02.470442 [debug] [Thread-6 ]: Compiling model.airbyte_utils.owners_ab2 2022-04-13 05:22:21 normalization > 05:03:02.470677 [debug] [Thread-3 ]: Began compiling node model.airbyte_utils.marketing_emails_ab2 2022-04-13 05:22:21 normalization > 05:03:02.491368 [debug] [Thread-4 ]: Began compiling node model.airbyte_utils.engagements_meetings_ab2 2022-04-13 05:22:21 normalization > 05:03:02.494337 [debug] [Thread-7 ]: Writing injected SQL for node "model.airbyte_utils.forms_ab2" 2022-04-13 05:22:21 normalization > 05:03:02.494784 [debug] [Thread-5 ]: Finished running node model.airbyte_utils.companies_ab2 2022-04-13 05:22:21 normalization > 05:03:02.495009 [debug] [Thread-1 ]: Began compiling node model.airbyte_utils.ticket_pipelines_ab2 2022-04-13 05:22:21 normalization > 05:03:02.505763 [debug] [Thread-2 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:02.511788 [debug] [Thread-6 ]: Writing injected SQL for node "model.airbyte_utils.owners_ab2" 2022-04-13 05:22:21 normalization > 05:03:02.512002 [debug] [Thread-3 ]: Compiling model.airbyte_utils.marketing_emails_ab2 2022-04-13 05:22:21 normalization > 05:03:02.512287 [debug] [Thread-4 ]: Compiling model.airbyte_utils.engagements_meetings_ab2 2022-04-13 05:22:21 normalization > 05:03:02.512702 [debug] [Thread-5 ]: Began running node model.airbyte_utils.engagements_notes_ab2 2022-04-13 05:22:21 normalization > 05:03:02.513338 [debug] [Thread-7 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:02.513556 [debug] [Thread-1 ]: Compiling model.airbyte_utils.ticket_pipelines_ab2 2022-04-13 05:22:21 normalization > 05:03:02.513990 [debug] [Thread-2 ]: Finished running node model.airbyte_utils.form_submissions_ab2 2022-04-13 05:22:21 normalization > 05:03:02.542213 [debug] [Thread-4 ]: On "model.airbyte_utils.engagements_meetings_ab2": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:21 normalization > 05:03:02.542772 [debug] [Thread-5 ]: Acquiring new bigquery connection "model.airbyte_utils.engagements_notes_ab2" 2022-04-13 05:22:21 normalization > 05:03:02.549106 [debug] [Thread-6 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:02.549724 [debug] [Thread-7 ]: Finished running node model.airbyte_utils.forms_ab2 2022-04-13 05:22:21 normalization > 05:03:02.582017 [debug] [Thread-8 ]: Writing injected SQL for node "model.airbyte_utils.contact_lists_ab2" 2022-04-13 05:22:21 normalization > 05:03:02.602832 [debug] [Thread-1 ]: Writing injected SQL for node "model.airbyte_utils.ticket_pipelines_ab2" 2022-04-13 05:22:21 normalization > 05:03:02.603086 [debug] [Thread-2 ]: Began running node model.airbyte_utils.workflows_ab2 2022-04-13 05:22:21 normalization > 05:03:02.633784 [debug] [Thread-4 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:02.658914 [debug] [Thread-3 ]: Writing injected SQL for node "model.airbyte_utils.marketing_emails_ab2" 2022-04-13 05:22:21 normalization > 05:03:02.659121 [debug] [Thread-5 ]: Began compiling node model.airbyte_utils.engagements_notes_ab2 2022-04-13 05:22:21 normalization > 05:03:02.659586 [debug] [Thread-6 ]: Finished running node model.airbyte_utils.owners_ab2 2022-04-13 05:22:21 normalization > 05:03:02.659921 [debug] [Thread-7 ]: Began running node model.airbyte_utils.campaigns_ab3 2022-04-13 05:22:21 normalization > 05:03:02.661011 [debug] [Thread-2 ]: Acquiring new bigquery connection "model.airbyte_utils.workflows_ab2" 2022-04-13 05:22:21 normalization > 05:03:02.661219 [debug] [Thread-8 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:02.661705 [debug] [Thread-1 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:02.662092 [debug] [Thread-5 ]: Compiling model.airbyte_utils.engagements_notes_ab2 2022-04-13 05:22:21 normalization > 05:03:02.662412 [debug] [Thread-6 ]: Began running node model.airbyte_utils.contacts_list_memberships_ab3 2022-04-13 05:22:21 normalization > 05:03:02.662581 [debug] [Thread-3 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:02.663256 [debug] [Thread-7 ]: Acquiring new bigquery connection "model.airbyte_utils.campaigns_ab3" 2022-04-13 05:22:21 normalization > 05:03:02.663566 [debug] [Thread-2 ]: Began compiling node model.airbyte_utils.workflows_ab2 2022-04-13 05:22:21 normalization > 05:03:02.663998 [debug] [Thread-8 ]: Finished running node model.airbyte_utils.contact_lists_ab2 2022-04-13 05:22:21 normalization > 05:03:02.664557 [debug] [Thread-1 ]: Finished running node model.airbyte_utils.ticket_pipelines_ab2 2022-04-13 05:22:21 normalization > 05:03:02.672304 [debug] [Thread-5 ]: On "model.airbyte_utils.engagements_notes_ab2": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:21 normalization > 05:03:02.673527 [debug] [Thread-6 ]: Acquiring new bigquery connection "model.airbyte_utils.contacts_list_memberships_ab3" 2022-04-13 05:22:21 normalization > 05:03:02.674089 [debug] [Thread-3 ]: Finished running node model.airbyte_utils.marketing_emails_ab2 2022-04-13 05:22:21 normalization > 05:03:02.674360 [debug] [Thread-7 ]: Began compiling node model.airbyte_utils.campaigns_ab3 2022-04-13 05:22:21 normalization > 05:03:02.676241 [debug] [Thread-2 ]: Compiling model.airbyte_utils.workflows_ab2 2022-04-13 05:22:21 normalization > 05:03:02.676527 [debug] [Thread-8 ]: Began running node model.airbyte_utils.quotes_ab2 2022-04-13 05:22:21 normalization > 05:03:02.677030 [debug] [Thread-1 ]: Began running node model.airbyte_utils.line_items_ab2 2022-04-13 05:22:21 normalization > 05:03:02.677613 [debug] [Thread-5 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:02.677855 [debug] [Thread-6 ]: Began compiling node model.airbyte_utils.contacts_list_memberships_ab3 2022-04-13 05:22:21 normalization > 05:03:02.678127 [debug] [Thread-3 ]: Began running node model.airbyte_utils.property_history_ab2 2022-04-13 05:22:21 normalization > 05:03:02.678552 [debug] [Thread-7 ]: Compiling model.airbyte_utils.campaigns_ab3 2022-04-13 05:22:21 normalization > 05:03:02.694311 [debug] [Thread-2 ]: Writing injected SQL for node "model.airbyte_utils.workflows_ab2" 2022-04-13 05:22:21 normalization > 05:03:02.694700 [debug] [Thread-8 ]: Acquiring new bigquery connection "model.airbyte_utils.quotes_ab2" 2022-04-13 05:22:21 normalization > 05:03:02.695253 [debug] [Thread-1 ]: Acquiring new bigquery connection "model.airbyte_utils.line_items_ab2" 2022-04-13 05:22:21 normalization > 05:03:02.695863 [debug] [Thread-6 ]: Compiling model.airbyte_utils.contacts_list_memberships_ab3 2022-04-13 05:22:21 normalization > 05:03:02.696273 [debug] [Thread-3 ]: Acquiring new bigquery connection "model.airbyte_utils.property_history_ab2" 2022-04-13 05:22:21 normalization > 05:03:02.713591 [debug] [Thread-2 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:02.720753 [debug] [Thread-7 ]: Writing injected SQL for node "model.airbyte_utils.campaigns_ab3" 2022-04-13 05:22:21 normalization > 05:03:02.721072 [debug] [Thread-8 ]: Began compiling node model.airbyte_utils.quotes_ab2 2022-04-13 05:22:21 normalization > 05:03:02.721461 [debug] [Thread-1 ]: Began compiling node model.airbyte_utils.line_items_ab2 2022-04-13 05:22:21 normalization > 05:03:02.739391 [debug] [Thread-6 ]: Writing injected SQL for node "model.airbyte_utils.contacts_list_memberships_ab3" 2022-04-13 05:22:21 normalization > 05:03:02.740086 [debug] [Thread-3 ]: Began compiling node model.airbyte_utils.property_history_ab2 2022-04-13 05:22:21 normalization > 05:03:02.740745 [debug] [Thread-2 ]: Finished running node model.airbyte_utils.workflows_ab2 2022-04-13 05:22:21 normalization > 05:03:02.742957 [debug] [Thread-8 ]: Compiling model.airbyte_utils.quotes_ab2 2022-04-13 05:22:21 normalization > 05:03:02.743155 [debug] [Thread-7 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:02.743427 [debug] [Thread-1 ]: Compiling model.airbyte_utils.line_items_ab2 2022-04-13 05:22:21 normalization > 05:03:02.743832 [debug] [Thread-3 ]: Compiling model.airbyte_utils.property_history_ab2 2022-04-13 05:22:21 normalization > 05:03:02.744037 [debug] [Thread-6 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:02.744408 [debug] [Thread-2 ]: Began running node model.airbyte_utils.deal_pipelines_ab3 2022-04-13 05:22:21 normalization > 05:03:02.752733 [debug] [Thread-8 ]: On "model.airbyte_utils.quotes_ab2": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:21 normalization > 05:03:02.753667 [debug] [Thread-7 ]: Finished running node model.airbyte_utils.campaigns_ab3 2022-04-13 05:22:21 normalization > 05:03:02.765485 [debug] [Thread-1 ]: On "model.airbyte_utils.line_items_ab2": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:21 normalization > 05:03:02.774258 [debug] [Thread-3 ]: On "model.airbyte_utils.property_history_ab2": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:21 normalization > 05:03:02.774989 [debug] [Thread-6 ]: Finished running node model.airbyte_utils.contacts_list_memberships_ab3 2022-04-13 05:22:21 normalization > 05:03:02.775636 [debug] [Thread-2 ]: Acquiring new bigquery connection "model.airbyte_utils.deal_pipelines_ab3" 2022-04-13 05:22:21 normalization > 05:03:02.775968 [debug] [Thread-8 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:02.776261 [debug] [Thread-7 ]: Began running node model.airbyte_utils.engagements_tasks_ab2 2022-04-13 05:22:21 normalization > 05:03:02.777003 [debug] [Thread-1 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:02.777451 [debug] [Thread-3 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:02.777724 [debug] [Thread-6 ]: Began running node model.airbyte_utils.products_ab2 2022-04-13 05:22:21 normalization > 05:03:02.778228 [debug] [Thread-2 ]: Began compiling node model.airbyte_utils.deal_pipelines_ab3 2022-04-13 05:22:21 normalization > 05:03:02.778850 [debug] [Thread-7 ]: Acquiring new bigquery connection "model.airbyte_utils.engagements_tasks_ab2" 2022-04-13 05:22:21 normalization > 05:03:02.779638 [debug] [Thread-6 ]: Acquiring new bigquery connection "model.airbyte_utils.products_ab2" 2022-04-13 05:22:21 normalization > 05:03:02.779901 [debug] [Thread-2 ]: Compiling model.airbyte_utils.deal_pipelines_ab3 2022-04-13 05:22:21 normalization > 05:03:02.780215 [debug] [Thread-7 ]: Began compiling node model.airbyte_utils.engagements_tasks_ab2 2022-04-13 05:22:21 normalization > 05:03:02.780439 [debug] [Thread-6 ]: Began compiling node model.airbyte_utils.products_ab2 2022-04-13 05:22:21 normalization > 05:03:02.791058 [debug] [Thread-7 ]: Compiling model.airbyte_utils.engagements_tasks_ab2 2022-04-13 05:22:21 normalization > 05:03:02.798505 [debug] [Thread-6 ]: Compiling model.airbyte_utils.products_ab2 2022-04-13 05:22:21 normalization > 05:03:02.817849 [debug] [Thread-7 ]: On "model.airbyte_utils.engagements_tasks_ab2": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:21 normalization > 05:03:02.820730 [debug] [Thread-2 ]: Writing injected SQL for node "model.airbyte_utils.deal_pipelines_ab3" 2022-04-13 05:22:21 normalization > 05:03:02.823755 [debug] [Thread-6 ]: On "model.airbyte_utils.products_ab2": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:21 normalization > 05:03:02.825700 [debug] [Thread-7 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:02.831581 [debug] [Thread-2 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:02.831835 [debug] [Thread-6 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:02.832812 [debug] [Thread-2 ]: Finished running node model.airbyte_utils.deal_pipelines_ab3 2022-04-13 05:22:21 normalization > 05:03:02.833822 [debug] [Thread-2 ]: Began running node model.airbyte_utils.subscription_changes_ab2 2022-04-13 05:22:21 normalization > 05:03:02.834669 [debug] [Thread-2 ]: Acquiring new bigquery connection "model.airbyte_utils.subscription_changes_ab2" 2022-04-13 05:22:21 normalization > 05:03:02.835250 [debug] [Thread-2 ]: Began compiling node model.airbyte_utils.subscription_changes_ab2 2022-04-13 05:22:21 normalization > 05:03:02.835596 [debug] [Thread-2 ]: Compiling model.airbyte_utils.subscription_changes_ab2 2022-04-13 05:22:21 normalization > 05:03:02.844555 [debug] [Thread-2 ]: On "model.airbyte_utils.subscription_changes_ab2": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:21 normalization > 05:03:02.846245 [debug] [Thread-2 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:03.035062 [debug] [Thread-4 ]: Writing injected SQL for node "model.airbyte_utils.engagements_meetings_ab2" 2022-04-13 05:22:21 normalization > 05:03:03.035452 [debug] [Thread-4 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:03.035881 [debug] [Thread-4 ]: Finished running node model.airbyte_utils.engagements_meetings_ab2 2022-04-13 05:22:21 normalization > 05:03:03.036565 [debug] [Thread-4 ]: Began running node model.airbyte_utils.tickets_ab2 2022-04-13 05:22:21 normalization > 05:03:03.037222 [debug] [Thread-4 ]: Acquiring new bigquery connection "model.airbyte_utils.tickets_ab2" 2022-04-13 05:22:21 normalization > 05:03:03.042653 [debug] [Thread-4 ]: Began compiling node model.airbyte_utils.tickets_ab2 2022-04-13 05:22:21 normalization > 05:03:03.046157 [debug] [Thread-8 ]: Writing injected SQL for node "model.airbyte_utils.quotes_ab2" 2022-04-13 05:22:21 normalization > 05:03:03.046378 [debug] [Thread-4 ]: Compiling model.airbyte_utils.tickets_ab2 2022-04-13 05:22:21 normalization > 05:03:03.047925 [debug] [Thread-8 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:03.052805 [debug] [Thread-2 ]: Writing injected SQL for node "model.airbyte_utils.subscription_changes_ab2" 2022-04-13 05:22:21 normalization > 05:03:03.071454 [debug] [Thread-5 ]: Writing injected SQL for node "model.airbyte_utils.engagements_notes_ab2" 2022-04-13 05:22:21 normalization > 05:03:03.072951 [debug] [Thread-6 ]: Writing injected SQL for node "model.airbyte_utils.products_ab2" 2022-04-13 05:22:21 normalization > 05:03:03.075908 [debug] [Thread-4 ]: On "model.airbyte_utils.tickets_ab2": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:21 normalization > 05:03:03.082449 [debug] [Thread-8 ]: Finished running node model.airbyte_utils.quotes_ab2 2022-04-13 05:22:21 normalization > 05:03:03.084808 [debug] [Thread-7 ]: Writing injected SQL for node "model.airbyte_utils.engagements_tasks_ab2" 2022-04-13 05:22:21 normalization > 05:03:03.091662 [debug] [Thread-1 ]: Writing injected SQL for node "model.airbyte_utils.line_items_ab2" 2022-04-13 05:22:21 normalization > 05:03:03.100673 [debug] [Thread-3 ]: Writing injected SQL for node "model.airbyte_utils.property_history_ab2" 2022-04-13 05:22:21 normalization > 05:03:03.101114 [debug] [Thread-2 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:03.101444 [debug] [Thread-5 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:03.101737 [debug] [Thread-4 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:03.102001 [debug] [Thread-6 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:03.102339 [debug] [Thread-8 ]: Began running node model.airbyte_utils.engagements_calls_ab3 2022-04-13 05:22:21 normalization > 05:03:03.103133 [debug] [Thread-7 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:03.103868 [debug] [Thread-2 ]: Finished running node model.airbyte_utils.subscription_changes_ab2 2022-04-13 05:22:21 normalization > 05:03:03.104055 [debug] [Thread-1 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:03.104338 [debug] [Thread-3 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:03.104716 [debug] [Thread-5 ]: Finished running node model.airbyte_utils.engagements_notes_ab2 2022-04-13 05:22:21 normalization > 05:03:03.105371 [debug] [Thread-6 ]: Finished running node model.airbyte_utils.products_ab2 2022-04-13 05:22:21 normalization > 05:03:03.105802 [debug] [Thread-8 ]: Acquiring new bigquery connection "model.airbyte_utils.engagements_calls_ab3" 2022-04-13 05:22:21 normalization > 05:03:03.106254 [debug] [Thread-7 ]: Finished running node model.airbyte_utils.engagements_tasks_ab2 2022-04-13 05:22:21 normalization > 05:03:03.106524 [debug] [Thread-2 ]: Began running node model.airbyte_utils.contacts_ab3 2022-04-13 05:22:21 normalization > 05:03:03.107276 [debug] [Thread-1 ]: Finished running node model.airbyte_utils.line_items_ab2 2022-04-13 05:22:21 normalization > 05:03:03.107901 [debug] [Thread-3 ]: Finished running node model.airbyte_utils.property_history_ab2 2022-04-13 05:22:21 normalization > 05:03:03.108165 [debug] [Thread-5 ]: Began running node model.airbyte_utils.engagements_emails_ab3 2022-04-13 05:22:21 normalization > 05:03:03.108747 [debug] [Thread-6 ]: Began running node model.airbyte_utils.email_events_ab3 2022-04-13 05:22:21 normalization > 05:03:03.109228 [debug] [Thread-8 ]: Began compiling node model.airbyte_utils.engagements_calls_ab3 2022-04-13 05:22:21 normalization > 05:03:03.110340 [debug] [Thread-7 ]: Began running node model.airbyte_utils.engagements_ab3 2022-04-13 05:22:21 normalization > 05:03:03.111204 [debug] [Thread-2 ]: Acquiring new bigquery connection "model.airbyte_utils.contacts_ab3" 2022-04-13 05:22:21 normalization > 05:03:03.113485 [debug] [Thread-1 ]: Began running node model.airbyte_utils.deals_ab3 2022-04-13 05:22:21 normalization > 05:03:03.113916 [debug] [Thread-3 ]: Began running node model.airbyte_utils.companies_ab3 2022-04-13 05:22:21 normalization > 05:03:03.114661 [debug] [Thread-5 ]: Acquiring new bigquery connection "model.airbyte_utils.engagements_emails_ab3" 2022-04-13 05:22:21 normalization > 05:03:03.115073 [debug] [Thread-6 ]: Acquiring new bigquery connection "model.airbyte_utils.email_events_ab3" 2022-04-13 05:22:21 normalization > 05:03:03.115425 [debug] [Thread-8 ]: Compiling model.airbyte_utils.engagements_calls_ab3 2022-04-13 05:22:21 normalization > 05:03:03.115828 [debug] [Thread-7 ]: Acquiring new bigquery connection "model.airbyte_utils.engagements_ab3" 2022-04-13 05:22:21 normalization > 05:03:03.116055 [debug] [Thread-2 ]: Began compiling node model.airbyte_utils.contacts_ab3 2022-04-13 05:22:21 normalization > 05:03:03.116472 [debug] [Thread-1 ]: Acquiring new bigquery connection "model.airbyte_utils.deals_ab3" 2022-04-13 05:22:21 normalization > 05:03:03.116868 [debug] [Thread-3 ]: Acquiring new bigquery connection "model.airbyte_utils.companies_ab3" 2022-04-13 05:22:21 normalization > 05:03:03.117131 [debug] [Thread-5 ]: Began compiling node model.airbyte_utils.engagements_emails_ab3 2022-04-13 05:22:21 normalization > 05:03:03.117383 [debug] [Thread-6 ]: Began compiling node model.airbyte_utils.email_events_ab3 2022-04-13 05:22:21 normalization > 05:03:03.126769 [debug] [Thread-8 ]: On "model.airbyte_utils.engagements_calls_ab3": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:21 normalization > 05:03:03.127005 [debug] [Thread-7 ]: Began compiling node model.airbyte_utils.engagements_ab3 2022-04-13 05:22:21 normalization > 05:03:03.127270 [debug] [Thread-2 ]: Compiling model.airbyte_utils.contacts_ab3 2022-04-13 05:22:21 normalization > 05:03:03.127497 [debug] [Thread-1 ]: Began compiling node model.airbyte_utils.deals_ab3 2022-04-13 05:22:21 normalization > 05:03:03.127795 [debug] [Thread-3 ]: Began compiling node model.airbyte_utils.companies_ab3 2022-04-13 05:22:21 normalization > 05:03:03.128240 [debug] [Thread-5 ]: Compiling model.airbyte_utils.engagements_emails_ab3 2022-04-13 05:22:21 normalization > 05:03:03.128477 [debug] [Thread-6 ]: Compiling model.airbyte_utils.email_events_ab3 2022-04-13 05:22:21 normalization > 05:03:03.128709 [debug] [Thread-8 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:03.128932 [debug] [Thread-7 ]: Compiling model.airbyte_utils.engagements_ab3 2022-04-13 05:22:21 normalization > 05:03:03.131013 [debug] [Thread-1 ]: Compiling model.airbyte_utils.deals_ab3 2022-04-13 05:22:21 normalization > 05:03:03.131586 [debug] [Thread-3 ]: Compiling model.airbyte_utils.companies_ab3 2022-04-13 05:22:21 normalization > 05:03:03.140898 [debug] [Thread-5 ]: On "model.airbyte_utils.engagements_emails_ab3": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:21 normalization > 05:03:03.161604 [debug] [Thread-6 ]: On "model.airbyte_utils.email_events_ab3": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:21 normalization > 05:03:03.170006 [debug] [Thread-2 ]: On "model.airbyte_utils.contacts_ab3": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:21 normalization > 05:03:03.186151 [debug] [Thread-7 ]: On "model.airbyte_utils.engagements_ab3": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:21 normalization > 05:03:03.204398 [debug] [Thread-1 ]: On "model.airbyte_utils.deals_ab3": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:21 normalization > 05:03:03.208880 [debug] [Thread-3 ]: On "model.airbyte_utils.companies_ab3": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:21 normalization > 05:03:03.209520 [debug] [Thread-5 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:03.209884 [debug] [Thread-6 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:03.212606 [debug] [Thread-2 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:03.213953 [debug] [Thread-7 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:03.214253 [debug] [Thread-1 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:03.214473 [debug] [Thread-3 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:03.489067 [debug] [Thread-4 ]: Writing injected SQL for node "model.airbyte_utils.tickets_ab2" 2022-04-13 05:22:21 normalization > 05:03:03.506020 [debug] [Thread-4 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:03.552159 [debug] [Thread-8 ]: Writing injected SQL for node "model.airbyte_utils.engagements_calls_ab3" 2022-04-13 05:22:21 normalization > 05:03:03.554292 [debug] [Thread-1 ]: Writing injected SQL for node "model.airbyte_utils.deals_ab3" 2022-04-13 05:22:21 normalization > 05:03:03.560370 [debug] [Thread-4 ]: Finished running node model.airbyte_utils.tickets_ab2 2022-04-13 05:22:21 normalization > 05:03:03.579336 [debug] [Thread-5 ]: Writing injected SQL for node "model.airbyte_utils.engagements_emails_ab3" 2022-04-13 05:22:21 normalization > 05:03:03.594037 [debug] [Thread-2 ]: Writing injected SQL for node "model.airbyte_utils.contacts_ab3" 2022-04-13 05:22:21 normalization > 05:03:03.616247 [debug] [Thread-6 ]: Writing injected SQL for node "model.airbyte_utils.email_events_ab3" 2022-04-13 05:22:21 normalization > 05:03:03.629154 [debug] [Thread-7 ]: Writing injected SQL for node "model.airbyte_utils.engagements_ab3" 2022-04-13 05:22:21 normalization > 05:03:03.633533 [debug] [Thread-3 ]: Writing injected SQL for node "model.airbyte_utils.companies_ab3" 2022-04-13 05:22:21 normalization > 05:03:03.633752 [debug] [Thread-8 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:03.634247 [debug] [Thread-4 ]: Began running node model.airbyte_utils.form_submissions_ab3 2022-04-13 05:22:21 normalization > 05:03:03.634446 [debug] [Thread-1 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:03.635359 [debug] [Thread-5 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:03.635618 [debug] [Thread-2 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:03.636021 [debug] [Thread-6 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:03.636372 [debug] [Thread-7 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:03.636935 [debug] [Thread-8 ]: Finished running node model.airbyte_utils.engagements_calls_ab3 2022-04-13 05:22:21 normalization > 05:03:03.637128 [debug] [Thread-3 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:03.637582 [debug] [Thread-4 ]: Acquiring new bigquery connection "model.airbyte_utils.form_submissions_ab3" 2022-04-13 05:22:21 normalization > 05:03:03.638061 [debug] [Thread-1 ]: Finished running node model.airbyte_utils.deals_ab3 2022-04-13 05:22:21 normalization > 05:03:03.638541 [debug] [Thread-5 ]: Finished running node model.airbyte_utils.engagements_emails_ab3 2022-04-13 05:22:21 normalization > 05:03:03.638985 [debug] [Thread-2 ]: Finished running node model.airbyte_utils.contacts_ab3 2022-04-13 05:22:21 normalization > 05:03:03.639441 [debug] [Thread-6 ]: Finished running node model.airbyte_utils.email_events_ab3 2022-04-13 05:22:21 normalization > 05:03:03.639871 [debug] [Thread-7 ]: Finished running node model.airbyte_utils.engagements_ab3 2022-04-13 05:22:21 normalization > 05:03:03.640145 [debug] [Thread-8 ]: Began running node model.airbyte_utils.forms_ab3 2022-04-13 05:22:21 normalization > 05:03:03.640895 [debug] [Thread-3 ]: Finished running node model.airbyte_utils.companies_ab3 2022-04-13 05:22:21 normalization > 05:03:03.641143 [debug] [Thread-4 ]: Began compiling node model.airbyte_utils.form_submissions_ab3 2022-04-13 05:22:21 normalization > 05:03:03.641419 [debug] [Thread-1 ]: Began running node model.airbyte_utils.owners_ab3 2022-04-13 05:22:21 normalization > 05:03:03.641848 [debug] [Thread-5 ]: Began running node model.airbyte_utils.contact_lists_ab3 2022-04-13 05:22:21 normalization > 05:03:03.642515 [debug] [Thread-2 ]: Began running node model.airbyte_utils.ticket_pipelines_ab3 2022-04-13 05:22:21 normalization > 05:03:03.642964 [debug] [Thread-6 ]: Began running node model.airbyte_utils.marketing_emails_ab3 2022-04-13 05:22:21 normalization > 05:03:03.643495 [debug] [Thread-7 ]: Began running node model.airbyte_utils.workflows_ab3 2022-04-13 05:22:21 normalization > 05:03:03.644187 [debug] [Thread-8 ]: Acquiring new bigquery connection "model.airbyte_utils.forms_ab3" 2022-04-13 05:22:21 normalization > 05:03:03.644490 [debug] [Thread-3 ]: Began running node model.airbyte_utils.campaigns 2022-04-13 05:22:21 normalization > 05:03:03.644902 [debug] [Thread-4 ]: Compiling model.airbyte_utils.form_submissions_ab3 2022-04-13 05:22:21 normalization > 05:03:03.645407 [debug] [Thread-1 ]: Acquiring new bigquery connection "model.airbyte_utils.owners_ab3" 2022-04-13 05:22:21 normalization > 05:03:03.645827 [debug] [Thread-5 ]: Acquiring new bigquery connection "model.airbyte_utils.contact_lists_ab3" 2022-04-13 05:22:21 normalization > 05:03:03.646256 [debug] [Thread-2 ]: Acquiring new bigquery connection "model.airbyte_utils.ticket_pipelines_ab3" 2022-04-13 05:22:21 normalization > 05:03:03.646666 [debug] [Thread-6 ]: Acquiring new bigquery connection "model.airbyte_utils.marketing_emails_ab3" 2022-04-13 05:22:21 normalization > 05:03:03.647062 [debug] [Thread-7 ]: Acquiring new bigquery connection "model.airbyte_utils.workflows_ab3" 2022-04-13 05:22:21 normalization > 05:03:03.647293 [debug] [Thread-8 ]: Began compiling node model.airbyte_utils.forms_ab3 2022-04-13 05:22:21 normalization > 05:03:03.647625 [info ] [Thread-3 ]: 1 of 77 START table model hubspot_.campaigns............................................................................ [RUN] 2022-04-13 05:22:21 normalization > 05:03:03.663238 [debug] [Thread-1 ]: Began compiling node model.airbyte_utils.owners_ab3 2022-04-13 05:22:21 normalization > 05:03:03.664610 [debug] [Thread-4 ]: Writing injected SQL for node "model.airbyte_utils.form_submissions_ab3" 2022-04-13 05:22:21 normalization > 05:03:03.664849 [debug] [Thread-5 ]: Began compiling node model.airbyte_utils.contact_lists_ab3 2022-04-13 05:22:21 normalization > 05:03:03.665067 [debug] [Thread-2 ]: Began compiling node model.airbyte_utils.ticket_pipelines_ab3 2022-04-13 05:22:21 normalization > 05:03:03.665305 [debug] [Thread-6 ]: Began compiling node model.airbyte_utils.marketing_emails_ab3 2022-04-13 05:22:21 normalization > 05:03:03.665513 [debug] [Thread-7 ]: Began compiling node model.airbyte_utils.workflows_ab3 2022-04-13 05:22:21 normalization > 05:03:03.665729 [debug] [Thread-8 ]: Compiling model.airbyte_utils.forms_ab3 2022-04-13 05:22:21 normalization > 05:03:03.666385 [debug] [Thread-3 ]: Acquiring new bigquery connection "model.airbyte_utils.campaigns" 2022-04-13 05:22:21 normalization > 05:03:03.666572 [debug] [Thread-1 ]: Compiling model.airbyte_utils.owners_ab3 2022-04-13 05:22:21 normalization > 05:03:03.666923 [debug] [Thread-5 ]: Compiling model.airbyte_utils.contact_lists_ab3 2022-04-13 05:22:21 normalization > 05:03:03.667107 [debug] [Thread-4 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:03.667357 [debug] [Thread-2 ]: Compiling model.airbyte_utils.ticket_pipelines_ab3 2022-04-13 05:22:21 normalization > 05:03:03.667585 [debug] [Thread-6 ]: Compiling model.airbyte_utils.marketing_emails_ab3 2022-04-13 05:22:21 normalization > 05:03:03.667796 [debug] [Thread-7 ]: Compiling model.airbyte_utils.workflows_ab3 2022-04-13 05:22:21 normalization > 05:03:03.683422 [debug] [Thread-3 ]: Began compiling node model.airbyte_utils.campaigns 2022-04-13 05:22:21 normalization > 05:03:03.690323 [debug] [Thread-8 ]: Writing injected SQL for node "model.airbyte_utils.forms_ab3" 2022-04-13 05:22:21 normalization > 05:03:03.715345 [debug] [Thread-1 ]: Writing injected SQL for node "model.airbyte_utils.owners_ab3" 2022-04-13 05:22:21 normalization > 05:03:03.719923 [debug] [Thread-5 ]: On "model.airbyte_utils.contact_lists_ab3": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:21 normalization > 05:03:03.720360 [debug] [Thread-4 ]: Finished running node model.airbyte_utils.form_submissions_ab3 2022-04-13 05:22:21 normalization > 05:03:03.790959 [debug] [Thread-2 ]: Writing injected SQL for node "model.airbyte_utils.ticket_pipelines_ab3" 2022-04-13 05:22:21 normalization > 05:03:03.807589 [debug] [Thread-3 ]: Compiling model.airbyte_utils.campaigns 2022-04-13 05:22:21 normalization > 05:03:03.811318 [debug] [Thread-7 ]: Writing injected SQL for node "model.airbyte_utils.workflows_ab3" 2022-04-13 05:22:21 normalization > 05:03:03.812624 [debug] [Thread-8 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:03.813301 [debug] [Thread-5 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:03.813957 [debug] [Thread-4 ]: Began running node model.airbyte_utils.contacts_list_memberships 2022-04-13 05:22:21 normalization > 05:03:03.814673 [debug] [Thread-1 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:03.824508 [debug] [Thread-3 ]: Writing injected SQL for node "model.airbyte_utils.campaigns" 2022-04-13 05:22:21 normalization > 05:03:03.824816 [debug] [Thread-2 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:03.825973 [debug] [Thread-8 ]: Finished running node model.airbyte_utils.forms_ab3 2022-04-13 05:22:21 normalization > 05:03:03.826237 [debug] [Thread-7 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:03.827118 [info ] [Thread-4 ]: 2 of 77 START table model hubspot_.contacts_list_memberships............................................................ [RUN] 2022-04-13 05:22:21 normalization > 05:03:03.827985 [debug] [Thread-1 ]: Finished running node model.airbyte_utils.owners_ab3 2022-04-13 05:22:21 normalization > 05:03:03.829604 [debug] [Thread-2 ]: Finished running node model.airbyte_utils.ticket_pipelines_ab3 2022-04-13 05:22:21 normalization > 05:03:03.830642 [debug] [Thread-3 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:03.830874 [debug] [Thread-8 ]: Began running node model.airbyte_utils.deal_pipelines 2022-04-13 05:22:21 normalization > 05:03:03.831879 [debug] [Thread-7 ]: Finished running node model.airbyte_utils.workflows_ab3 2022-04-13 05:22:21 normalization > 05:03:03.833354 [debug] [Thread-4 ]: Acquiring new bigquery connection "model.airbyte_utils.contacts_list_memberships" 2022-04-13 05:22:21 normalization > 05:03:03.833939 [debug] [Thread-1 ]: Began running node model.airbyte_utils.engagements_meetings_ab3 2022-04-13 05:22:21 normalization > 05:03:03.835674 [debug] [Thread-2 ]: Began running node model.airbyte_utils.quotes_ab3 2022-04-13 05:22:21 normalization > 05:03:03.836364 [debug] [Thread-3 ]: Began executing node model.airbyte_utils.campaigns 2022-04-13 05:22:21 normalization > 05:03:03.837063 [info ] [Thread-8 ]: 3 of 77 START table model hubspot_.deal_pipelines....................................................................... [RUN] 2022-04-13 05:22:21 normalization > 05:03:03.839547 [debug] [Thread-7 ]: Began running node model.airbyte_utils.subscription_changes_ab3 2022-04-13 05:22:21 normalization > 05:03:03.840741 [debug] [Thread-4 ]: Began compiling node model.airbyte_utils.contacts_list_memberships 2022-04-13 05:22:21 normalization > 05:03:03.841578 [debug] [Thread-1 ]: Acquiring new bigquery connection "model.airbyte_utils.engagements_meetings_ab3" 2022-04-13 05:22:21 normalization > 05:03:03.842439 [debug] [Thread-2 ]: Acquiring new bigquery connection "model.airbyte_utils.quotes_ab3" 2022-04-13 05:22:21 normalization > 05:03:03.859806 [debug] [Thread-7 ]: Acquiring new bigquery connection "model.airbyte_utils.subscription_changes_ab3" 2022-04-13 05:22:21 normalization > 05:03:03.861157 [debug] [Thread-3 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:03.861545 [debug] [Thread-8 ]: Acquiring new bigquery connection "model.airbyte_utils.deal_pipelines" 2022-04-13 05:22:21 normalization > 05:03:03.862222 [debug] [Thread-4 ]: Compiling model.airbyte_utils.contacts_list_memberships 2022-04-13 05:22:21 normalization > 05:03:03.862999 [debug] [Thread-1 ]: Began compiling node model.airbyte_utils.engagements_meetings_ab3 2022-04-13 05:22:21 normalization > 05:03:03.863529 [debug] [Thread-2 ]: Began compiling node model.airbyte_utils.quotes_ab3 2022-04-13 05:22:21 normalization > 05:03:03.864167 [debug] [Thread-7 ]: Began compiling node model.airbyte_utils.subscription_changes_ab3 2022-04-13 05:22:21 normalization > 05:03:03.865781 [debug] [Thread-8 ]: Began compiling node model.airbyte_utils.deal_pipelines 2022-04-13 05:22:21 normalization > 05:03:03.875437 [debug] [Thread-4 ]: Writing injected SQL for node "model.airbyte_utils.contacts_list_memberships" 2022-04-13 05:22:21 normalization > 05:03:03.876992 [debug] [Thread-1 ]: Compiling model.airbyte_utils.engagements_meetings_ab3 2022-04-13 05:22:21 normalization > 05:03:03.877894 [debug] [Thread-2 ]: Compiling model.airbyte_utils.quotes_ab3 2022-04-13 05:22:21 normalization > 05:03:03.880402 [debug] [Thread-7 ]: Compiling model.airbyte_utils.subscription_changes_ab3 2022-04-13 05:22:21 normalization > 05:03:03.881324 [debug] [Thread-8 ]: Compiling model.airbyte_utils.deal_pipelines 2022-04-13 05:22:21 normalization > 05:03:03.882562 [debug] [Thread-4 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:03.891637 [debug] [Thread-1 ]: On "model.airbyte_utils.engagements_meetings_ab3": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:21 normalization > 05:03:03.898862 [debug] [Thread-2 ]: On "model.airbyte_utils.quotes_ab3": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:21 normalization > 05:03:03.974567 [debug] [Thread-4 ]: Began executing node model.airbyte_utils.contacts_list_memberships 2022-04-13 05:22:21 normalization > 05:03:03.976577 [debug] [Thread-7 ]: On "model.airbyte_utils.subscription_changes_ab3": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:21 normalization > 05:03:03.980972 [debug] [Thread-8 ]: Writing injected SQL for node "model.airbyte_utils.deal_pipelines" 2022-04-13 05:22:21 normalization > 05:03:04.009520 [debug] [Thread-1 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:04.020717 [debug] [Thread-2 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:04.042441 [debug] [Thread-4 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:04.047970 [debug] [Thread-7 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:04.128619 [debug] [Thread-8 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:04.157869 [debug] [Thread-8 ]: Began executing node model.airbyte_utils.deal_pipelines 2022-04-13 05:22:21 normalization > 05:03:04.162602 [debug] [Thread-8 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:04.166592 [debug] [Thread-6 ]: Writing injected SQL for node "model.airbyte_utils.marketing_emails_ab3" 2022-04-13 05:22:21 normalization > 05:03:04.168365 [debug] [Thread-6 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:04.172479 [debug] [Thread-6 ]: Finished running node model.airbyte_utils.marketing_emails_ab3 2022-04-13 05:22:21 normalization > 05:03:04.173406 [debug] [Thread-6 ]: Began running node model.airbyte_utils.engagements_notes_ab3 2022-04-13 05:22:21 normalization > 05:03:04.173901 [debug] [Thread-6 ]: Acquiring new bigquery connection "model.airbyte_utils.engagements_notes_ab3" 2022-04-13 05:22:21 normalization > 05:03:04.175736 [debug] [Thread-6 ]: Began compiling node model.airbyte_utils.engagements_notes_ab3 2022-04-13 05:22:21 normalization > 05:03:04.176337 [debug] [Thread-6 ]: Compiling model.airbyte_utils.engagements_notes_ab3 2022-04-13 05:22:21 normalization > 05:03:04.186152 [debug] [Thread-6 ]: On "model.airbyte_utils.engagements_notes_ab3": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:21 normalization > 05:03:04.186422 [debug] [Thread-6 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:04.249134 [debug] [Thread-3 ]: Writing runtime SQL for node "model.airbyte_utils.campaigns" 2022-04-13 05:22:21 normalization > 05:03:04.249744 [debug] [Thread-3 ]: On model.airbyte_utils.campaigns: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.campaigns"} */ 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > create or replace table `mansagroup-datascience`.hubspot_.`campaigns` 2022-04-13 05:22:21 normalization > partition by timestamp_trunc(_airbyte_emitted_at, day) 2022-04-13 05:22:21 normalization > cluster by _airbyte_emitted_at 2022-04-13 05:22:21 normalization > OPTIONS() 2022-04-13 05:22:21 normalization > as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > with __dbt__cte__campaigns_ab1 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema 2022-04-13 05:22:21 normalization > -- depends_on: `mansagroup-datascience`.hubspot_._airbyte_raw_campaigns 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['id']") as id, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['name']") as name, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['type']") as type, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['appId']") as appId, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['appName']") as appName, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['subType']") as subType, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['subject']") as subject, 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > json_extract(table_alias._airbyte_data, "$['counters']") 2022-04-13 05:22:21 normalization > as counters, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['contentId']") as contentId, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['numQueued']") as numQueued, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['numIncluded']") as numIncluded, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['lastUpdatedTime']") as lastUpdatedTime, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:21 normalization > from `mansagroup-datascience`.hubspot_._airbyte_raw_campaigns as table_alias 2022-04-13 05:22:21 normalization > -- campaigns 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > ), __dbt__cte__campaigns_ab2 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__campaigns_ab1 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > cast(id as 2022-04-13 05:22:21 normalization > int64 2022-04-13 05:22:21 normalization > ) as id, 2022-04-13 05:22:21 normalization > cast(name as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as name, 2022-04-13 05:22:21 normalization > cast(type as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as type, 2022-04-13 05:22:21 normalization > cast(appId as 2022-04-13 05:22:21 normalization > int64 2022-04-13 05:22:21 normalization > ) as appId, 2022-04-13 05:22:21 normalization > cast(appName as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as appName, 2022-04-13 05:22:21 normalization > cast(subType as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as subType, 2022-04-13 05:22:21 normalization > cast(subject as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as subject, 2022-04-13 05:22:21 normalization > cast(counters as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as counters, 2022-04-13 05:22:21 normalization > cast(contentId as 2022-04-13 05:22:21 normalization > int64 2022-04-13 05:22:21 normalization > ) as contentId, 2022-04-13 05:22:21 normalization > cast(numQueued as 2022-04-13 05:22:21 normalization > int64 2022-04-13 05:22:21 normalization > ) as numQueued, 2022-04-13 05:22:21 normalization > cast(numIncluded as 2022-04-13 05:22:21 normalization > int64 2022-04-13 05:22:21 normalization > ) as numIncluded, 2022-04-13 05:22:21 normalization > cast(lastUpdatedTime as 2022-04-13 05:22:21 normalization > int64 2022-04-13 05:22:21 normalization > ) as lastUpdatedTime, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:21 normalization > from __dbt__cte__campaigns_ab1 2022-04-13 05:22:21 normalization > -- campaigns 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > ), __dbt__cte__campaigns_ab3 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to build a hash column based on the values of this record 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__campaigns_ab2 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > to_hex(md5(cast(concat(coalesce(cast(id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(name as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(type as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(appId as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(appName as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(subType as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(subject as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(counters as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(contentId as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(numQueued as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(numIncluded as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(lastUpdatedTime as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), '')) as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ))) as _airbyte_campaigns_hashid, 2022-04-13 05:22:21 normalization > tmp.* 2022-04-13 05:22:21 normalization > from __dbt__cte__campaigns_ab2 tmp 2022-04-13 05:22:21 normalization > -- campaigns 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > )-- Final base SQL model 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__campaigns_ab3 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > id, 2022-04-13 05:22:21 normalization > name, 2022-04-13 05:22:21 normalization > type, 2022-04-13 05:22:21 normalization > appId, 2022-04-13 05:22:21 normalization > appName, 2022-04-13 05:22:21 normalization > subType, 2022-04-13 05:22:21 normalization > subject, 2022-04-13 05:22:21 normalization > counters, 2022-04-13 05:22:21 normalization > contentId, 2022-04-13 05:22:21 normalization > numQueued, 2022-04-13 05:22:21 normalization > numIncluded, 2022-04-13 05:22:21 normalization > lastUpdatedTime, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at, 2022-04-13 05:22:21 normalization > _airbyte_campaigns_hashid 2022-04-13 05:22:21 normalization > from __dbt__cte__campaigns_ab3 2022-04-13 05:22:21 normalization > -- campaigns from `mansagroup-datascience`.hubspot_._airbyte_raw_campaigns 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > ); 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 05:03:04.278347 [debug] [Thread-4 ]: Writing runtime SQL for node "model.airbyte_utils.contacts_list_memberships" 2022-04-13 05:22:21 normalization > 05:03:04.278666 [debug] [Thread-4 ]: On model.airbyte_utils.contacts_list_memberships: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.contacts_list_memberships"} */ 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > create or replace table `mansagroup-datascience`.hubspot_.`contacts_list_memberships` 2022-04-13 05:22:21 normalization > partition by timestamp_trunc(_airbyte_emitted_at, day) 2022-04-13 05:22:21 normalization > cluster by _airbyte_emitted_at 2022-04-13 05:22:21 normalization > OPTIONS() 2022-04-13 05:22:21 normalization > as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > with __dbt__cte__contacts_list_memberships_ab1 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema 2022-04-13 05:22:21 normalization > -- depends_on: `mansagroup-datascience`.hubspot_._airbyte_raw_contacts_list_memberships 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['vid']") as vid, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['is-member']") as is_member, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['timestamp']") as timestamp, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['canonical-vid']") as canonical_vid, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['static-list-id']") as static_list_id, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['internal-list-id']") as internal_list_id, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:21 normalization > from `mansagroup-datascience`.hubspot_._airbyte_raw_contacts_list_memberships as table_alias 2022-04-13 05:22:21 normalization > -- contacts_list_memberships 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > ), __dbt__cte__contacts_list_memberships_ab2 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__contacts_list_memberships_ab1 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > cast(vid as 2022-04-13 05:22:21 normalization > int64 2022-04-13 05:22:21 normalization > ) as vid, 2022-04-13 05:22:21 normalization > cast(is_member as boolean) as is_member, 2022-04-13 05:22:21 normalization > cast(timestamp as 2022-04-13 05:22:21 normalization > int64 2022-04-13 05:22:21 normalization > ) as timestamp, 2022-04-13 05:22:21 normalization > cast(canonical_vid as 2022-04-13 05:22:21 normalization > int64 2022-04-13 05:22:21 normalization > ) as canonical_vid, 2022-04-13 05:22:21 normalization > cast(static_list_id as 2022-04-13 05:22:21 normalization > int64 2022-04-13 05:22:21 normalization > ) as static_list_id, 2022-04-13 05:22:21 normalization > cast(internal_list_id as 2022-04-13 05:22:21 normalization > int64 2022-04-13 05:22:21 normalization > ) as internal_list_id, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:21 normalization > from __dbt__cte__contacts_list_memberships_ab1 2022-04-13 05:22:21 normalization > -- contacts_list_memberships 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > ), __dbt__cte__contacts_list_memberships_ab3 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to build a hash column based on the values of this record 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__contacts_list_memberships_ab2 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > to_hex(md5(cast(concat(coalesce(cast(vid as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(is_member as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(timestamp as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(canonical_vid as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(static_list_id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(internal_list_id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), '')) as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ))) as _airbyte_contacts_list_memberships_hashid, 2022-04-13 05:22:21 normalization > tmp.* 2022-04-13 05:22:21 normalization > from __dbt__cte__contacts_list_memberships_ab2 tmp 2022-04-13 05:22:21 normalization > -- contacts_list_memberships 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > )-- Final base SQL model 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__contacts_list_memberships_ab3 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > vid, 2022-04-13 05:22:21 normalization > is_member, 2022-04-13 05:22:21 normalization > timestamp, 2022-04-13 05:22:21 normalization > canonical_vid, 2022-04-13 05:22:21 normalization > static_list_id, 2022-04-13 05:22:21 normalization > internal_list_id, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at, 2022-04-13 05:22:21 normalization > _airbyte_contacts_list_memberships_hashid 2022-04-13 05:22:21 normalization > from __dbt__cte__contacts_list_memberships_ab3 2022-04-13 05:22:21 normalization > -- contacts_list_memberships from `mansagroup-datascience`.hubspot_._airbyte_raw_contacts_list_memberships 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > ); 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 05:03:04.297540 [debug] [Thread-8 ]: Writing runtime SQL for node "model.airbyte_utils.deal_pipelines" 2022-04-13 05:22:21 normalization > 05:03:04.297874 [debug] [Thread-8 ]: On model.airbyte_utils.deal_pipelines: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.deal_pipelines"} */ 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > create or replace table `mansagroup-datascience`.hubspot_.`deal_pipelines` 2022-04-13 05:22:21 normalization > partition by timestamp_trunc(_airbyte_emitted_at, day) 2022-04-13 05:22:21 normalization > cluster by _airbyte_emitted_at 2022-04-13 05:22:21 normalization > OPTIONS() 2022-04-13 05:22:21 normalization > as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > with __dbt__cte__deal_pipelines_ab1 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema 2022-04-13 05:22:21 normalization > -- depends_on: `mansagroup-datascience`.hubspot_._airbyte_raw_deal_pipelines 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['label']") as label, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['active']") as active, 2022-04-13 05:22:21 normalization > json_extract_array(_airbyte_data, "$['stages']") as stages, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['default']") as `default`, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['createdAt']") as createdAt, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['updatedAt']") as updatedAt, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['objectType']") as objectType, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['pipelineId']") as pipelineId, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['displayOrder']") as displayOrder, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['objectTypeId']") as objectTypeId, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:21 normalization > from `mansagroup-datascience`.hubspot_._airbyte_raw_deal_pipelines as table_alias 2022-04-13 05:22:21 normalization > -- deal_pipelines 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > ), __dbt__cte__deal_pipelines_ab2 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__deal_pipelines_ab1 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > cast(label as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as label, 2022-04-13 05:22:21 normalization > cast(active as boolean) as active, 2022-04-13 05:22:21 normalization > stages, 2022-04-13 05:22:21 normalization > cast(`default` as boolean) as `default`, 2022-04-13 05:22:21 normalization > cast(createdAt as 2022-04-13 05:22:21 normalization > int64 2022-04-13 05:22:21 normalization > ) as createdAt, 2022-04-13 05:22:21 normalization > cast(updatedAt as 2022-04-13 05:22:21 normalization > int64 2022-04-13 05:22:21 normalization > ) as updatedAt, 2022-04-13 05:22:21 normalization > cast(objectType as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as objectType, 2022-04-13 05:22:21 normalization > cast(pipelineId as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as pipelineId, 2022-04-13 05:22:21 normalization > cast(displayOrder as 2022-04-13 05:22:21 normalization > int64 2022-04-13 05:22:21 normalization > ) as displayOrder, 2022-04-13 05:22:21 normalization > cast(objectTypeId as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as objectTypeId, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:21 normalization > from __dbt__cte__deal_pipelines_ab1 2022-04-13 05:22:21 normalization > -- deal_pipelines 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > ), __dbt__cte__deal_pipelines_ab3 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to build a hash column based on the values of this record 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__deal_pipelines_ab2 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > to_hex(md5(cast(concat(coalesce(cast(label as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(active as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(array_to_string(stages, "|", "") as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(`default` as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(createdAt as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(updatedAt as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(objectType as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(pipelineId as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(displayOrder as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(objectTypeId as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), '')) as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ))) as _airbyte_deal_pipelines_hashid, 2022-04-13 05:22:21 normalization > tmp.* 2022-04-13 05:22:21 normalization > from __dbt__cte__deal_pipelines_ab2 tmp 2022-04-13 05:22:21 normalization > -- deal_pipelines 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > )-- Final base SQL model 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__deal_pipelines_ab3 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > label, 2022-04-13 05:22:21 normalization > active, 2022-04-13 05:22:21 normalization > stages, 2022-04-13 05:22:21 normalization > `default`, 2022-04-13 05:22:21 normalization > createdAt, 2022-04-13 05:22:21 normalization > updatedAt, 2022-04-13 05:22:21 normalization > objectType, 2022-04-13 05:22:21 normalization > pipelineId, 2022-04-13 05:22:21 normalization > displayOrder, 2022-04-13 05:22:21 normalization > objectTypeId, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at, 2022-04-13 05:22:21 normalization > _airbyte_deal_pipelines_hashid 2022-04-13 05:22:21 normalization > from __dbt__cte__deal_pipelines_ab3 2022-04-13 05:22:21 normalization > -- deal_pipelines from `mansagroup-datascience`.hubspot_._airbyte_raw_deal_pipelines 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > ); 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 05:03:04.351093 [debug] [Thread-5 ]: Writing injected SQL for node "model.airbyte_utils.contact_lists_ab3" 2022-04-13 05:22:21 normalization > 05:03:04.365089 [debug] [Thread-1 ]: Writing injected SQL for node "model.airbyte_utils.engagements_meetings_ab3" 2022-04-13 05:22:21 normalization > 05:03:04.365405 [debug] [Thread-5 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:04.365866 [debug] [Thread-5 ]: Finished running node model.airbyte_utils.contact_lists_ab3 2022-04-13 05:22:21 normalization > 05:03:04.366148 [debug] [Thread-5 ]: Began running node model.airbyte_utils.products_ab3 2022-04-13 05:22:21 normalization > 05:03:04.366391 [debug] [Thread-1 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:04.366740 [debug] [Thread-5 ]: Acquiring new bigquery connection "model.airbyte_utils.products_ab3" 2022-04-13 05:22:21 normalization > 05:03:04.367526 [debug] [Thread-1 ]: Finished running node model.airbyte_utils.engagements_meetings_ab3 2022-04-13 05:22:21 normalization > 05:03:04.367754 [debug] [Thread-5 ]: Began compiling node model.airbyte_utils.products_ab3 2022-04-13 05:22:21 normalization > 05:03:04.368016 [debug] [Thread-1 ]: Began running node model.airbyte_utils.engagements_tasks_ab3 2022-04-13 05:22:21 normalization > 05:03:04.368484 [debug] [Thread-5 ]: Compiling model.airbyte_utils.products_ab3 2022-04-13 05:22:21 normalization > 05:03:04.368866 [debug] [Thread-1 ]: Acquiring new bigquery connection "model.airbyte_utils.engagements_tasks_ab3" 2022-04-13 05:22:21 normalization > 05:03:04.376284 [debug] [Thread-5 ]: On "model.airbyte_utils.products_ab3": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:21 normalization > 05:03:04.376470 [debug] [Thread-1 ]: Began compiling node model.airbyte_utils.engagements_tasks_ab3 2022-04-13 05:22:21 normalization > 05:03:04.376701 [debug] [Thread-5 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:04.376927 [debug] [Thread-1 ]: Compiling model.airbyte_utils.engagements_tasks_ab3 2022-04-13 05:22:21 normalization > 05:03:04.385670 [debug] [Thread-1 ]: On "model.airbyte_utils.engagements_tasks_ab3": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:21 normalization > 05:03:04.385901 [debug] [Thread-1 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:04.502017 [debug] [Thread-2 ]: Writing injected SQL for node "model.airbyte_utils.quotes_ab3" 2022-04-13 05:22:21 normalization > 05:03:04.503682 [debug] [Thread-2 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:04.511153 [debug] [Thread-7 ]: Writing injected SQL for node "model.airbyte_utils.subscription_changes_ab3" 2022-04-13 05:22:21 normalization > 05:03:04.516718 [debug] [Thread-2 ]: Finished running node model.airbyte_utils.quotes_ab3 2022-04-13 05:22:21 normalization > 05:03:04.525681 [debug] [Thread-6 ]: Writing injected SQL for node "model.airbyte_utils.engagements_notes_ab3" 2022-04-13 05:22:21 normalization > 05:03:04.526084 [debug] [Thread-2 ]: Began running node model.airbyte_utils.line_items_ab3 2022-04-13 05:22:21 normalization > 05:03:04.526664 [debug] [Thread-7 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:04.527313 [debug] [Thread-2 ]: Acquiring new bigquery connection "model.airbyte_utils.line_items_ab3" 2022-04-13 05:22:21 normalization > 05:03:04.527511 [debug] [Thread-6 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:04.527968 [debug] [Thread-7 ]: Finished running node model.airbyte_utils.subscription_changes_ab3 2022-04-13 05:22:21 normalization > 05:03:04.528191 [debug] [Thread-2 ]: Began compiling node model.airbyte_utils.line_items_ab3 2022-04-13 05:22:21 normalization > 05:03:04.528635 [debug] [Thread-6 ]: Finished running node model.airbyte_utils.engagements_notes_ab3 2022-04-13 05:22:21 normalization > 05:03:04.528892 [debug] [Thread-7 ]: Began running node model.airbyte_utils.property_history_ab3 2022-04-13 05:22:21 normalization > 05:03:04.529356 [debug] [Thread-2 ]: Compiling model.airbyte_utils.line_items_ab3 2022-04-13 05:22:21 normalization > 05:03:04.529611 [debug] [Thread-6 ]: Began running node model.airbyte_utils.tickets_ab3 2022-04-13 05:22:21 normalization > 05:03:04.530127 [debug] [Thread-7 ]: Acquiring new bigquery connection "model.airbyte_utils.property_history_ab3" 2022-04-13 05:22:21 normalization > 05:03:04.538742 [debug] [Thread-2 ]: On "model.airbyte_utils.line_items_ab3": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:21 normalization > 05:03:04.539156 [debug] [Thread-6 ]: Acquiring new bigquery connection "model.airbyte_utils.tickets_ab3" 2022-04-13 05:22:21 normalization > 05:03:04.539404 [debug] [Thread-7 ]: Began compiling node model.airbyte_utils.property_history_ab3 2022-04-13 05:22:21 normalization > 05:03:04.539631 [debug] [Thread-2 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:04.539857 [debug] [Thread-6 ]: Began compiling node model.airbyte_utils.tickets_ab3 2022-04-13 05:22:21 normalization > 05:03:04.540069 [debug] [Thread-7 ]: Compiling model.airbyte_utils.property_history_ab3 2022-04-13 05:22:21 normalization > 05:03:04.540425 [debug] [Thread-6 ]: Compiling model.airbyte_utils.tickets_ab3 2022-04-13 05:22:21 normalization > 05:03:04.548284 [debug] [Thread-7 ]: On "model.airbyte_utils.property_history_ab3": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:21 normalization > 05:03:04.557362 [debug] [Thread-6 ]: On "model.airbyte_utils.tickets_ab3": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:21 normalization > 05:03:04.557555 [debug] [Thread-7 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:04.558541 [debug] [Thread-6 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:04.720691 [debug] [Thread-5 ]: Writing injected SQL for node "model.airbyte_utils.products_ab3" 2022-04-13 05:22:21 normalization > 05:03:04.721041 [debug] [Thread-5 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:04.721458 [debug] [Thread-5 ]: Finished running node model.airbyte_utils.products_ab3 2022-04-13 05:22:21 normalization > 05:03:04.721690 [debug] [Thread-5 ]: Began running node model.airbyte_utils.engagements_calls 2022-04-13 05:22:21 normalization > 05:03:04.722224 [info ] [Thread-5 ]: 4 of 77 START incremental model hubspot_.engagements_calls.............................................................. [RUN] 2022-04-13 05:22:21 normalization > 05:03:04.722896 [debug] [Thread-5 ]: Acquiring new bigquery connection "model.airbyte_utils.engagements_calls" 2022-04-13 05:22:21 normalization > 05:03:04.723100 [debug] [Thread-5 ]: Began compiling node model.airbyte_utils.engagements_calls 2022-04-13 05:22:21 normalization > 05:03:04.723277 [debug] [Thread-5 ]: Compiling model.airbyte_utils.engagements_calls 2022-04-13 05:22:21 normalization > 05:03:04.738687 [debug] [Thread-5 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:04.755102 [debug] [Thread-1 ]: Writing injected SQL for node "model.airbyte_utils.engagements_tasks_ab3" 2022-04-13 05:22:21 normalization > 05:03:04.756175 [debug] [Thread-1 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:04.756773 [debug] [Thread-1 ]: Finished running node model.airbyte_utils.engagements_tasks_ab3 2022-04-13 05:22:21 normalization > 05:03:04.758448 [debug] [Thread-1 ]: Began running node model.airbyte_utils.deals 2022-04-13 05:22:21 normalization > 05:03:04.759156 [info ] [Thread-1 ]: 5 of 77 START incremental model hubspot_.deals.......................................................................... [RUN] 2022-04-13 05:22:21 normalization > 05:03:04.759812 [debug] [Thread-1 ]: Acquiring new bigquery connection "model.airbyte_utils.deals" 2022-04-13 05:22:21 normalization > 05:03:04.759996 [debug] [Thread-1 ]: Began compiling node model.airbyte_utils.deals 2022-04-13 05:22:21 normalization > 05:03:04.760150 [debug] [Thread-1 ]: Compiling model.airbyte_utils.deals 2022-04-13 05:22:21 normalization > 05:03:04.768414 [debug] [Thread-1 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:04.857819 [debug] [Thread-7 ]: Writing injected SQL for node "model.airbyte_utils.property_history_ab3" 2022-04-13 05:22:21 normalization > 05:03:04.866491 [debug] [Thread-5 ]: Writing injected SQL for node "model.airbyte_utils.engagements_calls" 2022-04-13 05:22:21 normalization > 05:03:04.866775 [debug] [Thread-7 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:04.867749 [debug] [Thread-7 ]: Finished running node model.airbyte_utils.property_history_ab3 2022-04-13 05:22:21 normalization > 05:03:04.868062 [debug] [Thread-7 ]: Began running node model.airbyte_utils.engagements_emails 2022-04-13 05:22:21 normalization > 05:03:04.873528 [info ] [Thread-7 ]: 6 of 77 START incremental model hubspot_.engagements_emails............................................................. [RUN] 2022-04-13 05:22:21 normalization > 05:03:04.879611 [debug] [Thread-7 ]: Acquiring new bigquery connection "model.airbyte_utils.engagements_emails" 2022-04-13 05:22:21 normalization > 05:03:04.879898 [debug] [Thread-7 ]: Began compiling node model.airbyte_utils.engagements_emails 2022-04-13 05:22:21 normalization > 05:03:04.885293 [debug] [Thread-7 ]: Compiling model.airbyte_utils.engagements_emails 2022-04-13 05:22:21 normalization > 05:03:04.886978 [debug] [Thread-1 ]: Writing injected SQL for node "model.airbyte_utils.deals" 2022-04-13 05:22:21 normalization > 05:03:04.887191 [debug] [Thread-5 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:04.890274 [debug] [Thread-2 ]: Writing injected SQL for node "model.airbyte_utils.line_items_ab3" 2022-04-13 05:22:21 normalization > 05:03:04.898101 [debug] [Thread-7 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:04.905582 [debug] [Thread-6 ]: Writing injected SQL for node "model.airbyte_utils.tickets_ab3" 2022-04-13 05:22:21 normalization > 05:03:04.906116 [debug] [Thread-5 ]: Began executing node model.airbyte_utils.engagements_calls 2022-04-13 05:22:21 normalization > 05:03:04.906334 [debug] [Thread-1 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:04.906953 [debug] [Thread-2 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:04.912446 [debug] [Thread-6 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:04.918627 [debug] [Thread-1 ]: Began executing node model.airbyte_utils.deals 2022-04-13 05:22:21 normalization > 05:03:04.925120 [debug] [Thread-2 ]: Finished running node model.airbyte_utils.line_items_ab3 2022-04-13 05:22:21 normalization > 05:03:04.932691 [debug] [Thread-6 ]: Finished running node model.airbyte_utils.tickets_ab3 2022-04-13 05:22:21 normalization > 05:03:04.938103 [debug] [Thread-2 ]: Began running node model.airbyte_utils.contacts 2022-04-13 05:22:21 normalization > 05:03:04.938783 [debug] [Thread-6 ]: Began running node model.airbyte_utils.email_events 2022-04-13 05:22:21 normalization > 05:03:04.939443 [info ] [Thread-2 ]: 7 of 77 START incremental model hubspot_.contacts....................................................................... [RUN] 2022-04-13 05:22:21 normalization > 05:03:04.939951 [info ] [Thread-6 ]: 8 of 77 START incremental model hubspot_.email_events................................................................... [RUN] 2022-04-13 05:22:21 normalization > 05:03:04.940565 [debug] [Thread-2 ]: Acquiring new bigquery connection "model.airbyte_utils.contacts" 2022-04-13 05:22:21 normalization > 05:03:04.941116 [debug] [Thread-6 ]: Acquiring new bigquery connection "model.airbyte_utils.email_events" 2022-04-13 05:22:21 normalization > 05:03:04.941346 [debug] [Thread-2 ]: Began compiling node model.airbyte_utils.contacts 2022-04-13 05:22:21 normalization > 05:03:04.941564 [debug] [Thread-6 ]: Began compiling node model.airbyte_utils.email_events 2022-04-13 05:22:21 normalization > 05:03:04.941781 [debug] [Thread-2 ]: Compiling model.airbyte_utils.contacts 2022-04-13 05:22:21 normalization > 05:03:04.941988 [debug] [Thread-6 ]: Compiling model.airbyte_utils.email_events 2022-04-13 05:22:21 normalization > 05:03:04.950526 [debug] [Thread-2 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:04.958246 [debug] [Thread-6 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:04.999265 [debug] [Thread-1 ]: On model.airbyte_utils.deals: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.deals"} */ 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > create or replace table `mansagroup-datascience`.hubspot_.`deals__dbt_tmp` 2022-04-13 05:22:21 normalization > partition by timestamp_trunc(_airbyte_emitted_at, day) 2022-04-13 05:22:21 normalization > cluster by _airbyte_emitted_at 2022-04-13 05:22:21 normalization > OPTIONS( 2022-04-13 05:22:21 normalization > expiration_timestamp=TIMESTAMP_ADD(CURRENT_TIMESTAMP(), INTERVAL 12 hour) 2022-04-13 05:22:21 normalization > ) 2022-04-13 05:22:21 normalization > as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > with __dbt__cte__deals_ab1 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema 2022-04-13 05:22:21 normalization > -- depends_on: `mansagroup-datascience`.hubspot_._airbyte_raw_deals 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['id']") as id, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['archived']") as archived, 2022-04-13 05:22:21 normalization > json_extract_array(_airbyte_data, "$['contacts']") as contacts, 2022-04-13 05:22:21 normalization > json_extract_array(_airbyte_data, "$['companies']") as companies, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['createdAt']") as createdAt, 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > json_extract(table_alias._airbyte_data, "$['dealstage']") 2022-04-13 05:22:21 normalization > as dealstage, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['updatedAt']") as updatedAt, 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > json_extract(table_alias._airbyte_data, "$['properties']") 2022-04-13 05:22:21 normalization > as properties, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:21 normalization > from `mansagroup-datascience`.hubspot_._airbyte_raw_deals as table_alias 2022-04-13 05:22:21 normalization > -- deals 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > ), __dbt__cte__deals_ab2 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__deals_ab1 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > cast(id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as id, 2022-04-13 05:22:21 normalization > cast(archived as boolean) as archived, 2022-04-13 05:22:21 normalization > contacts, 2022-04-13 05:22:21 normalization > companies, 2022-04-13 05:22:21 normalization > cast(nullif(createdAt, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as createdAt, 2022-04-13 05:22:21 normalization > cast(dealstage as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as dealstage, 2022-04-13 05:22:21 normalization > cast(nullif(updatedAt, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as updatedAt, 2022-04-13 05:22:21 normalization > cast(properties as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as properties, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:21 normalization > from __dbt__cte__deals_ab1 2022-04-13 05:22:21 normalization > -- deals 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > ), __dbt__cte__deals_ab3 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to build a hash column based on the values of this record 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__deals_ab2 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > to_hex(md5(cast(concat(coalesce(cast(id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(archived as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(array_to_string(contacts, "|", "") as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(array_to_string(companies, "|", "") as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(createdAt as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(dealstage as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(updatedAt as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(properties as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), '')) as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ))) as _airbyte_deals_hashid, 2022-04-13 05:22:21 normalization > tmp.* 2022-04-13 05:22:21 normalization > from __dbt__cte__deals_ab2 tmp 2022-04-13 05:22:21 normalization > -- deals 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > )-- Final base SQL model 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__deals_ab3 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > id, 2022-04-13 05:22:21 normalization > archived, 2022-04-13 05:22:21 normalization > contacts, 2022-04-13 05:22:21 normalization > companies, 2022-04-13 05:22:21 normalization > createdAt, 2022-04-13 05:22:21 normalization > dealstage, 2022-04-13 05:22:21 normalization > updatedAt, 2022-04-13 05:22:21 normalization > properties, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at, 2022-04-13 05:22:21 normalization > _airbyte_deals_hashid 2022-04-13 05:22:21 normalization > from __dbt__cte__deals_ab3 2022-04-13 05:22:21 normalization > -- deals from `mansagroup-datascience`.hubspot_._airbyte_raw_deals 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > and coalesce( 2022-04-13 05:22:21 normalization > cast(_airbyte_emitted_at as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) >= (select max(cast(_airbyte_emitted_at as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > )) from `mansagroup-datascience`.hubspot_.`deals`), 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > true) 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > ); 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 05:03:05.010476 [debug] [Thread-5 ]: On model.airbyte_utils.engagements_calls: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.engagements_calls"} */ 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > create or replace table `mansagroup-datascience`.hubspot_.`engagements_calls__dbt_tmp` 2022-04-13 05:22:21 normalization > partition by timestamp_trunc(_airbyte_emitted_at, day) 2022-04-13 05:22:21 normalization > cluster by _airbyte_emitted_at 2022-04-13 05:22:21 normalization > OPTIONS( 2022-04-13 05:22:21 normalization > expiration_timestamp=TIMESTAMP_ADD(CURRENT_TIMESTAMP(), INTERVAL 12 hour) 2022-04-13 05:22:21 normalization > ) 2022-04-13 05:22:21 normalization > as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > with __dbt__cte__engagements_calls_ab1 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema 2022-04-13 05:22:21 normalization > -- depends_on: `mansagroup-datascience`.hubspot_._airbyte_raw_engagements_calls 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['id']") as id, 2022-04-13 05:22:21 normalization > json_extract_array(_airbyte_data, "$['deals']") as deals, 2022-04-13 05:22:21 normalization > json_extract_array(_airbyte_data, "$['tickets']") as tickets, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['archived']") as archived, 2022-04-13 05:22:21 normalization > json_extract_array(_airbyte_data, "$['contacts']") as contacts, 2022-04-13 05:22:21 normalization > json_extract_array(_airbyte_data, "$['companies']") as companies, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['createdAt']") as createdAt, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['updatedAt']") as updatedAt, 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > json_extract(table_alias._airbyte_data, "$['properties']") 2022-04-13 05:22:21 normalization > as properties, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:21 normalization > from `mansagroup-datascience`.hubspot_._airbyte_raw_engagements_calls as table_alias 2022-04-13 05:22:21 normalization > -- engagements_calls 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > ), __dbt__cte__engagements_calls_ab2 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__engagements_calls_ab1 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > cast(id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as id, 2022-04-13 05:22:21 normalization > deals, 2022-04-13 05:22:21 normalization > tickets, 2022-04-13 05:22:21 normalization > cast(archived as boolean) as archived, 2022-04-13 05:22:21 normalization > contacts, 2022-04-13 05:22:21 normalization > companies, 2022-04-13 05:22:21 normalization > cast(nullif(createdAt, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as createdAt, 2022-04-13 05:22:21 normalization > cast(nullif(updatedAt, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as updatedAt, 2022-04-13 05:22:21 normalization > cast(properties as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as properties, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:21 normalization > from __dbt__cte__engagements_calls_ab1 2022-04-13 05:22:21 normalization > -- engagements_calls 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > ), __dbt__cte__engagements_calls_ab3 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to build a hash column based on the values of this record 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__engagements_calls_ab2 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > to_hex(md5(cast(concat(coalesce(cast(id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(array_to_string(deals, "|", "") as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(array_to_string(tickets, "|", "") as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(archived as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(array_to_string(contacts, "|", "") as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(array_to_string(companies, "|", "") as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(createdAt as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(updatedAt as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(properties as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), '')) as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ))) as _airbyte_engagements_calls_hashid, 2022-04-13 05:22:21 normalization > tmp.* 2022-04-13 05:22:21 normalization > from __dbt__cte__engagements_calls_ab2 tmp 2022-04-13 05:22:21 normalization > -- engagements_calls 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > )-- Final base SQL model 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__engagements_calls_ab3 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > id, 2022-04-13 05:22:21 normalization > deals, 2022-04-13 05:22:21 normalization > tickets, 2022-04-13 05:22:21 normalization > archived, 2022-04-13 05:22:21 normalization > contacts, 2022-04-13 05:22:21 normalization > companies, 2022-04-13 05:22:21 normalization > createdAt, 2022-04-13 05:22:21 normalization > updatedAt, 2022-04-13 05:22:21 normalization > properties, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at, 2022-04-13 05:22:21 normalization > _airbyte_engagements_calls_hashid 2022-04-13 05:22:21 normalization > from __dbt__cte__engagements_calls_ab3 2022-04-13 05:22:21 normalization > -- engagements_calls from `mansagroup-datascience`.hubspot_._airbyte_raw_engagements_calls 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > and coalesce( 2022-04-13 05:22:21 normalization > cast(_airbyte_emitted_at as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) >= (select max(cast(_airbyte_emitted_at as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > )) from `mansagroup-datascience`.hubspot_.`engagements_calls`), 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > true) 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > ); 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 05:03:05.063789 [debug] [Thread-2 ]: Writing injected SQL for node "model.airbyte_utils.contacts" 2022-04-13 05:22:21 normalization > 05:03:05.064691 [debug] [Thread-2 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:05.070036 [debug] [Thread-2 ]: Began executing node model.airbyte_utils.contacts 2022-04-13 05:22:21 normalization > 05:03:05.072050 [debug] [Thread-7 ]: Writing injected SQL for node "model.airbyte_utils.engagements_emails" 2022-04-13 05:22:21 normalization > 05:03:05.077471 [debug] [Thread-7 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:05.077701 [debug] [Thread-7 ]: Began executing node model.airbyte_utils.engagements_emails 2022-04-13 05:22:21 normalization > 05:03:05.094511 [debug] [Thread-6 ]: Writing injected SQL for node "model.airbyte_utils.email_events" 2022-04-13 05:22:21 normalization > 05:03:05.095258 [debug] [Thread-6 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:05.095444 [debug] [Thread-6 ]: Began executing node model.airbyte_utils.email_events 2022-04-13 05:22:21 normalization > 05:03:05.117680 [debug] [Thread-2 ]: On model.airbyte_utils.contacts: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.contacts"} */ 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > create or replace table `mansagroup-datascience`.hubspot_.`contacts__dbt_tmp` 2022-04-13 05:22:21 normalization > partition by timestamp_trunc(_airbyte_emitted_at, day) 2022-04-13 05:22:21 normalization > cluster by _airbyte_emitted_at 2022-04-13 05:22:21 normalization > OPTIONS( 2022-04-13 05:22:21 normalization > expiration_timestamp=TIMESTAMP_ADD(CURRENT_TIMESTAMP(), INTERVAL 12 hour) 2022-04-13 05:22:21 normalization > ) 2022-04-13 05:22:21 normalization > as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > with __dbt__cte__contacts_ab1 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema 2022-04-13 05:22:21 normalization > -- depends_on: `mansagroup-datascience`.hubspot_._airbyte_raw_contacts 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['id']") as id, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['archived']") as archived, 2022-04-13 05:22:21 normalization > json_extract_array(_airbyte_data, "$['companies']") as companies, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['createdAt']") as createdAt, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['updatedAt']") as updatedAt, 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > json_extract(table_alias._airbyte_data, "$['properties']") 2022-04-13 05:22:21 normalization > as properties, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:21 normalization > from `mansagroup-datascience`.hubspot_._airbyte_raw_contacts as table_alias 2022-04-13 05:22:21 normalization > -- contacts 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > ), __dbt__cte__contacts_ab2 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__contacts_ab1 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > cast(id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as id, 2022-04-13 05:22:21 normalization > cast(archived as boolean) as archived, 2022-04-13 05:22:21 normalization > companies, 2022-04-13 05:22:21 normalization > cast(nullif(createdAt, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as createdAt, 2022-04-13 05:22:21 normalization > cast(nullif(updatedAt, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as updatedAt, 2022-04-13 05:22:21 normalization > cast(properties as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as properties, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:21 normalization > from __dbt__cte__contacts_ab1 2022-04-13 05:22:21 normalization > -- contacts 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > ), __dbt__cte__contacts_ab3 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to build a hash column based on the values of this record 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__contacts_ab2 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > to_hex(md5(cast(concat(coalesce(cast(id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(archived as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(array_to_string(companies, "|", "") as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(createdAt as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(updatedAt as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(properties as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), '')) as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ))) as _airbyte_contacts_hashid, 2022-04-13 05:22:21 normalization > tmp.* 2022-04-13 05:22:21 normalization > from __dbt__cte__contacts_ab2 tmp 2022-04-13 05:22:21 normalization > -- contacts 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > )-- Final base SQL model 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__contacts_ab3 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > id, 2022-04-13 05:22:21 normalization > archived, 2022-04-13 05:22:21 normalization > companies, 2022-04-13 05:22:21 normalization > createdAt, 2022-04-13 05:22:21 normalization > updatedAt, 2022-04-13 05:22:21 normalization > properties, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at, 2022-04-13 05:22:21 normalization > _airbyte_contacts_hashid 2022-04-13 05:22:21 normalization > from __dbt__cte__contacts_ab3 2022-04-13 05:22:21 normalization > -- contacts from `mansagroup-datascience`.hubspot_._airbyte_raw_contacts 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > and coalesce( 2022-04-13 05:22:21 normalization > cast(_airbyte_emitted_at as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) >= (select max(cast(_airbyte_emitted_at as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > )) from `mansagroup-datascience`.hubspot_.`contacts`), 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > true) 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > ); 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 05:03:05.127739 [debug] [Thread-7 ]: On model.airbyte_utils.engagements_emails: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.engagements_emails"} */ 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > create or replace table `mansagroup-datascience`.hubspot_.`engagements_emails__dbt_tmp` 2022-04-13 05:22:21 normalization > partition by timestamp_trunc(_airbyte_emitted_at, day) 2022-04-13 05:22:21 normalization > cluster by _airbyte_emitted_at 2022-04-13 05:22:21 normalization > OPTIONS( 2022-04-13 05:22:21 normalization > expiration_timestamp=TIMESTAMP_ADD(CURRENT_TIMESTAMP(), INTERVAL 12 hour) 2022-04-13 05:22:21 normalization > ) 2022-04-13 05:22:21 normalization > as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > with __dbt__cte__engagements_emails_ab1 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema 2022-04-13 05:22:21 normalization > -- depends_on: `mansagroup-datascience`.hubspot_._airbyte_raw_engagements_emails 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['id']") as id, 2022-04-13 05:22:21 normalization > json_extract_array(_airbyte_data, "$['deals']") as deals, 2022-04-13 05:22:21 normalization > json_extract_array(_airbyte_data, "$['tickets']") as tickets, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['archived']") as archived, 2022-04-13 05:22:21 normalization > json_extract_array(_airbyte_data, "$['contacts']") as contacts, 2022-04-13 05:22:21 normalization > json_extract_array(_airbyte_data, "$['companies']") as companies, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['createdAt']") as createdAt, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['updatedAt']") as updatedAt, 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > json_extract(table_alias._airbyte_data, "$['properties']") 2022-04-13 05:22:21 normalization > as properties, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:21 normalization > from `mansagroup-datascience`.hubspot_._airbyte_raw_engagements_emails as table_alias 2022-04-13 05:22:21 normalization > -- engagements_emails 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > ), __dbt__cte__engagements_emails_ab2 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__engagements_emails_ab1 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > cast(id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as id, 2022-04-13 05:22:21 normalization > deals, 2022-04-13 05:22:21 normalization > tickets, 2022-04-13 05:22:21 normalization > cast(archived as boolean) as archived, 2022-04-13 05:22:21 normalization > contacts, 2022-04-13 05:22:21 normalization > companies, 2022-04-13 05:22:21 normalization > cast(nullif(createdAt, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as createdAt, 2022-04-13 05:22:21 normalization > cast(nullif(updatedAt, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as updatedAt, 2022-04-13 05:22:21 normalization > cast(properties as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as properties, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:21 normalization > from __dbt__cte__engagements_emails_ab1 2022-04-13 05:22:21 normalization > -- engagements_emails 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > ), __dbt__cte__engagements_emails_ab3 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to build a hash column based on the values of this record 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__engagements_emails_ab2 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > to_hex(md5(cast(concat(coalesce(cast(id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(array_to_string(deals, "|", "") as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(array_to_string(tickets, "|", "") as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(archived as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(array_to_string(contacts, "|", "") as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(array_to_string(companies, "|", "") as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(createdAt as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(updatedAt as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(properties as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), '')) as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ))) as _airbyte_engagements_emails_hashid, 2022-04-13 05:22:21 normalization > tmp.* 2022-04-13 05:22:21 normalization > from __dbt__cte__engagements_emails_ab2 tmp 2022-04-13 05:22:21 normalization > -- engagements_emails 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > )-- Final base SQL model 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__engagements_emails_ab3 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > id, 2022-04-13 05:22:21 normalization > deals, 2022-04-13 05:22:21 normalization > tickets, 2022-04-13 05:22:21 normalization > archived, 2022-04-13 05:22:21 normalization > contacts, 2022-04-13 05:22:21 normalization > companies, 2022-04-13 05:22:21 normalization > createdAt, 2022-04-13 05:22:21 normalization > updatedAt, 2022-04-13 05:22:21 normalization > properties, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at, 2022-04-13 05:22:21 normalization > _airbyte_engagements_emails_hashid 2022-04-13 05:22:21 normalization > from __dbt__cte__engagements_emails_ab3 2022-04-13 05:22:21 normalization > -- engagements_emails from `mansagroup-datascience`.hubspot_._airbyte_raw_engagements_emails 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > and coalesce( 2022-04-13 05:22:21 normalization > cast(_airbyte_emitted_at as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) >= (select max(cast(_airbyte_emitted_at as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > )) from `mansagroup-datascience`.hubspot_.`engagements_emails`), 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > true) 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > ); 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 05:03:05.146695 [debug] [Thread-6 ]: On model.airbyte_utils.email_events: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.email_events"} */ 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > create or replace table `mansagroup-datascience`.hubspot_.`email_events__dbt_tmp` 2022-04-13 05:22:21 normalization > partition by timestamp_trunc(_airbyte_emitted_at, day) 2022-04-13 05:22:21 normalization > cluster by _airbyte_emitted_at 2022-04-13 05:22:21 normalization > OPTIONS( 2022-04-13 05:22:21 normalization > expiration_timestamp=TIMESTAMP_ADD(CURRENT_TIMESTAMP(), INTERVAL 12 hour) 2022-04-13 05:22:21 normalization > ) 2022-04-13 05:22:21 normalization > as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > with __dbt__cte__email_events_ab1 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema 2022-04-13 05:22:21 normalization > -- depends_on: `mansagroup-datascience`.hubspot_._airbyte_raw_email_events 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['id']") as id, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['url']") as url, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['from']") as `from`, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['hmid']") as hmid, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['type']") as type, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['appId']") as appId, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['linkId']") as linkId, 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > json_extract(table_alias._airbyte_data, "$['sentBy']") 2022-04-13 05:22:21 normalization > as sentBy, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['smtpId']") as smtpId, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['source']") as source, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['status']") as status, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['appName']") as appName, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['attempt']") as attempt, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['bounced']") as bounced, 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > json_extract(table_alias._airbyte_data, "$['browser']") 2022-04-13 05:22:21 normalization > as browser, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['created']") as created, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['referer']") as referer, 2022-04-13 05:22:21 normalization > json_extract_array(_airbyte_data, "$['replyTo']") as replyTo, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['subject']") as subject, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['category']") as category, 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > json_extract(table_alias._airbyte_data, "$['causedBy']") 2022-04-13 05:22:21 normalization > as causedBy, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['duration']") as duration, 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > json_extract(table_alias._airbyte_data, "$['location']") 2022-04-13 05:22:21 normalization > as location, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['portalId']") as portalId, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['response']") as response, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['sourceId']") as sourceId, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['ipAddress']") as ipAddress, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['recipient']") as recipient, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['userAgent']") as userAgent, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['deviceType']") as deviceType, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['dropReason']") as dropReason, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['dropMessage']") as dropMessage, 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > json_extract(table_alias._airbyte_data, "$['obsoletedBy']") 2022-04-13 05:22:21 normalization > as obsoletedBy, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['requestedBy']") as requestedBy, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['filteredEvent']") as filteredEvent, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['emailCampaignId']") as emailCampaignId, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['requestedByUserId']") as requestedByUserId, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['emailCampaignGroupId']") as emailCampaignGroupId, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['portalSubscriptionStatus']") as portalSubscriptionStatus, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:21 normalization > from `mansagroup-datascience`.hubspot_._airbyte_raw_email_events as table_alias 2022-04-13 05:22:21 normalization > -- email_events 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > ), __dbt__cte__email_events_ab2 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__email_events_ab1 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > cast(id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as id, 2022-04-13 05:22:21 normalization > cast(url as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as url, 2022-04-13 05:22:21 normalization > cast(`from` as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as `from`, 2022-04-13 05:22:21 normalization > cast(hmid as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hmid, 2022-04-13 05:22:21 normalization > cast(type as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as type, 2022-04-13 05:22:21 normalization > cast(appId as 2022-04-13 05:22:21 normalization > int64 2022-04-13 05:22:21 normalization > ) as appId, 2022-04-13 05:22:21 normalization > cast(linkId as 2022-04-13 05:22:21 normalization > int64 2022-04-13 05:22:21 normalization > ) as linkId, 2022-04-13 05:22:21 normalization > cast(sentBy as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as sentBy, 2022-04-13 05:22:21 normalization > cast(smtpId as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as smtpId, 2022-04-13 05:22:21 normalization > cast(source as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as source, 2022-04-13 05:22:21 normalization > cast(status as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as status, 2022-04-13 05:22:21 normalization > cast(appName as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as appName, 2022-04-13 05:22:21 normalization > cast(attempt as 2022-04-13 05:22:21 normalization > int64 2022-04-13 05:22:21 normalization > ) as attempt, 2022-04-13 05:22:21 normalization > cast(bounced as boolean) as bounced, 2022-04-13 05:22:21 normalization > cast(browser as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as browser, 2022-04-13 05:22:21 normalization > cast(created as 2022-04-13 05:22:21 normalization > int64 2022-04-13 05:22:21 normalization > ) as created, 2022-04-13 05:22:21 normalization > cast(referer as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as referer, 2022-04-13 05:22:21 normalization > replyTo, 2022-04-13 05:22:21 normalization > cast(subject as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as subject, 2022-04-13 05:22:21 normalization > cast(category as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as category, 2022-04-13 05:22:21 normalization > cast(causedBy as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as causedBy, 2022-04-13 05:22:21 normalization > cast(duration as 2022-04-13 05:22:21 normalization > int64 2022-04-13 05:22:21 normalization > ) as duration, 2022-04-13 05:22:21 normalization > cast(location as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as location, 2022-04-13 05:22:21 normalization > cast(portalId as 2022-04-13 05:22:21 normalization > int64 2022-04-13 05:22:21 normalization > ) as portalId, 2022-04-13 05:22:21 normalization > cast(response as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as response, 2022-04-13 05:22:21 normalization > cast(sourceId as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as sourceId, 2022-04-13 05:22:21 normalization > cast(ipAddress as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as ipAddress, 2022-04-13 05:22:21 normalization > cast(recipient as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as recipient, 2022-04-13 05:22:21 normalization > cast(userAgent as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as userAgent, 2022-04-13 05:22:21 normalization > cast(deviceType as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as deviceType, 2022-04-13 05:22:21 normalization > cast(dropReason as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as dropReason, 2022-04-13 05:22:21 normalization > cast(dropMessage as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as dropMessage, 2022-04-13 05:22:21 normalization > cast(obsoletedBy as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as obsoletedBy, 2022-04-13 05:22:21 normalization > cast(requestedBy as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as requestedBy, 2022-04-13 05:22:21 normalization > cast(filteredEvent as boolean) as filteredEvent, 2022-04-13 05:22:21 normalization > cast(emailCampaignId as 2022-04-13 05:22:21 normalization > int64 2022-04-13 05:22:21 normalization > ) as emailCampaignId, 2022-04-13 05:22:21 normalization > cast(requestedByUserId as 2022-04-13 05:22:21 normalization > int64 2022-04-13 05:22:21 normalization > ) as requestedByUserId, 2022-04-13 05:22:21 normalization > cast(emailCampaignGroupId as 2022-04-13 05:22:21 normalization > int64 2022-04-13 05:22:21 normalization > ) as emailCampaignGroupId, 2022-04-13 05:22:21 normalization > cast(portalSubscriptionStatus as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as portalSubscriptionStatus, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:21 normalization > from __dbt__cte__email_events_ab1 2022-04-13 05:22:21 normalization > -- email_events 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > ), __dbt__cte__email_events_ab3 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to build a hash column based on the values of this record 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__email_events_ab2 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > to_hex(md5(cast(concat(coalesce(cast(id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(url as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(`from` as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hmid as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(type as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(appId as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(linkId as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(sentBy as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(smtpId as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(source as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(status as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(appName as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(attempt as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(bounced as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(browser as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(created as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(referer as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(array_to_string(replyTo, "|", "") as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(subject as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(category as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(causedBy as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(duration as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(location as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(portalId as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(response as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(sourceId as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(ipAddress as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(recipient as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(userAgent as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(deviceType as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(dropReason as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(dropMessage as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(obsoletedBy as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(requestedBy as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(filteredEvent as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(emailCampaignId as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(requestedByUserId as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(emailCampaignGroupId as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(portalSubscriptionStatus as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), '')) as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ))) as _airbyte_email_events_hashid, 2022-04-13 05:22:21 normalization > tmp.* 2022-04-13 05:22:21 normalization > from __dbt__cte__email_events_ab2 tmp 2022-04-13 05:22:21 normalization > -- email_events 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > )-- Final base SQL model 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__email_events_ab3 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > id, 2022-04-13 05:22:21 normalization > url, 2022-04-13 05:22:21 normalization > `from`, 2022-04-13 05:22:21 normalization > hmid, 2022-04-13 05:22:21 normalization > type, 2022-04-13 05:22:21 normalization > appId, 2022-04-13 05:22:21 normalization > linkId, 2022-04-13 05:22:21 normalization > sentBy, 2022-04-13 05:22:21 normalization > smtpId, 2022-04-13 05:22:21 normalization > source, 2022-04-13 05:22:21 normalization > status, 2022-04-13 05:22:21 normalization > appName, 2022-04-13 05:22:21 normalization > attempt, 2022-04-13 05:22:21 normalization > bounced, 2022-04-13 05:22:21 normalization > browser, 2022-04-13 05:22:21 normalization > created, 2022-04-13 05:22:21 normalization > referer, 2022-04-13 05:22:21 normalization > replyTo, 2022-04-13 05:22:21 normalization > subject, 2022-04-13 05:22:21 normalization > category, 2022-04-13 05:22:21 normalization > causedBy, 2022-04-13 05:22:21 normalization > duration, 2022-04-13 05:22:21 normalization > location, 2022-04-13 05:22:21 normalization > portalId, 2022-04-13 05:22:21 normalization > response, 2022-04-13 05:22:21 normalization > sourceId, 2022-04-13 05:22:21 normalization > ipAddress, 2022-04-13 05:22:21 normalization > recipient, 2022-04-13 05:22:21 normalization > userAgent, 2022-04-13 05:22:21 normalization > deviceType, 2022-04-13 05:22:21 normalization > dropReason, 2022-04-13 05:22:21 normalization > dropMessage, 2022-04-13 05:22:21 normalization > obsoletedBy, 2022-04-13 05:22:21 normalization > requestedBy, 2022-04-13 05:22:21 normalization > filteredEvent, 2022-04-13 05:22:21 normalization > emailCampaignId, 2022-04-13 05:22:21 normalization > requestedByUserId, 2022-04-13 05:22:21 normalization > emailCampaignGroupId, 2022-04-13 05:22:21 normalization > portalSubscriptionStatus, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at, 2022-04-13 05:22:21 normalization > _airbyte_email_events_hashid 2022-04-13 05:22:21 normalization > from __dbt__cte__email_events_ab3 2022-04-13 05:22:21 normalization > -- email_events from `mansagroup-datascience`.hubspot_._airbyte_raw_email_events 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > and coalesce( 2022-04-13 05:22:21 normalization > cast(_airbyte_emitted_at as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) >= (select max(cast(_airbyte_emitted_at as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > )) from `mansagroup-datascience`.hubspot_.`email_events`), 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > true) 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > ); 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 05:03:06.179090 [debug] [Thread-3 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:06.179755 [info ] [Thread-3 ]: 1 of 77 OK created table model hubspot_.campaigns....................................................................... [CREATE TABLE (40.0 rows, 21.5 KB processed) in 2.51s] 2022-04-13 05:22:21 normalization > 05:03:06.180227 [debug] [Thread-3 ]: Finished running node model.airbyte_utils.campaigns 2022-04-13 05:22:21 normalization > 05:03:06.180450 [debug] [Thread-3 ]: Began running node model.airbyte_utils.engagements 2022-04-13 05:22:21 normalization > 05:03:06.180952 [info ] [Thread-3 ]: 9 of 77 START incremental model hubspot_.engagements.................................................................... [RUN] 2022-04-13 05:22:21 normalization > 05:03:06.181712 [debug] [Thread-3 ]: Acquiring new bigquery connection "model.airbyte_utils.engagements" 2022-04-13 05:22:21 normalization > 05:03:06.181914 [debug] [Thread-3 ]: Began compiling node model.airbyte_utils.engagements 2022-04-13 05:22:21 normalization > 05:03:06.182076 [debug] [Thread-3 ]: Compiling model.airbyte_utils.engagements 2022-04-13 05:22:21 normalization > 05:03:06.189516 [debug] [Thread-3 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:06.282287 [debug] [Thread-8 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:06.282813 [info ] [Thread-8 ]: 3 of 77 OK created table model hubspot_.deal_pipelines.................................................................. [CREATE TABLE (3.0 rows, 4.7 KB processed) in 2.42s] 2022-04-13 05:22:21 normalization > 05:03:06.283266 [debug] [Thread-8 ]: Finished running node model.airbyte_utils.deal_pipelines 2022-04-13 05:22:21 normalization > 05:03:06.283532 [debug] [Thread-8 ]: Began running node model.airbyte_utils.companies 2022-04-13 05:22:21 normalization > 05:03:06.284165 [info ] [Thread-8 ]: 10 of 77 START incremental model hubspot_.companies..................................................................... [RUN] 2022-04-13 05:22:21 normalization > 05:03:06.284720 [debug] [Thread-8 ]: Acquiring new bigquery connection "model.airbyte_utils.companies" 2022-04-13 05:22:21 normalization > 05:03:06.284908 [debug] [Thread-8 ]: Began compiling node model.airbyte_utils.companies 2022-04-13 05:22:21 normalization > 05:03:06.285067 [debug] [Thread-8 ]: Compiling model.airbyte_utils.companies 2022-04-13 05:22:21 normalization > 05:03:06.292479 [debug] [Thread-8 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:06.311421 [debug] [Thread-3 ]: Writing injected SQL for node "model.airbyte_utils.engagements" 2022-04-13 05:22:21 normalization > 05:03:06.311856 [debug] [Thread-3 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:06.312139 [debug] [Thread-3 ]: Began executing node model.airbyte_utils.engagements 2022-04-13 05:22:21 normalization > 05:03:06.366669 [debug] [Thread-3 ]: On model.airbyte_utils.engagements: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.engagements"} */ 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > create or replace table `mansagroup-datascience`.hubspot_.`engagements__dbt_tmp` 2022-04-13 05:22:21 normalization > partition by timestamp_trunc(_airbyte_emitted_at, day) 2022-04-13 05:22:21 normalization > cluster by _airbyte_emitted_at 2022-04-13 05:22:21 normalization > OPTIONS( 2022-04-13 05:22:21 normalization > expiration_timestamp=TIMESTAMP_ADD(CURRENT_TIMESTAMP(), INTERVAL 12 hour) 2022-04-13 05:22:21 normalization > ) 2022-04-13 05:22:21 normalization > as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > with __dbt__cte__engagements_ab1 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema 2022-04-13 05:22:21 normalization > -- depends_on: `mansagroup-datascience`.hubspot_._airbyte_raw_engagements 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['id']") as id, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['uid']") as uid, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['type']") as type, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['active']") as active, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['source']") as source, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['teamId']") as teamId, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['ownerId']") as ownerId, 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > json_extract(table_alias._airbyte_data, "$['metadata']") 2022-04-13 05:22:21 normalization > as metadata, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['portalId']") as portalId, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['sourceId']") as sourceId, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['createdAt']") as createdAt, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['createdBy']") as createdBy, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['timestamp']") as timestamp, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['modifiedBy']") as modifiedBy, 2022-04-13 05:22:21 normalization > json_extract_array(_airbyte_data, "$['attachments']") as attachments, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['bodyPreview']") as bodyPreview, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['gdprDeleted']") as gdprDeleted, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['lastUpdated']") as lastUpdated, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['activityType']") as activityType, 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > json_extract(table_alias._airbyte_data, "$['associations']") 2022-04-13 05:22:21 normalization > as associations, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['bodyPreviewHtml']") as bodyPreviewHtml, 2022-04-13 05:22:21 normalization > json_extract_array(_airbyte_data, "$['allAccessibleTeamIds']") as allAccessibleTeamIds, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['bodyPreviewIsTruncated']") as bodyPreviewIsTruncated, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:21 normalization > from `mansagroup-datascience`.hubspot_._airbyte_raw_engagements as table_alias 2022-04-13 05:22:21 normalization > -- engagements 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > ), __dbt__cte__engagements_ab2 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__engagements_ab1 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > cast(id as 2022-04-13 05:22:21 normalization > int64 2022-04-13 05:22:21 normalization > ) as id, 2022-04-13 05:22:21 normalization > cast(uid as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as uid, 2022-04-13 05:22:21 normalization > cast(type as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as type, 2022-04-13 05:22:21 normalization > cast(active as boolean) as active, 2022-04-13 05:22:21 normalization > cast(source as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as source, 2022-04-13 05:22:21 normalization > cast(teamId as 2022-04-13 05:22:21 normalization > int64 2022-04-13 05:22:21 normalization > ) as teamId, 2022-04-13 05:22:21 normalization > cast(ownerId as 2022-04-13 05:22:21 normalization > int64 2022-04-13 05:22:21 normalization > ) as ownerId, 2022-04-13 05:22:21 normalization > cast(metadata as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as metadata, 2022-04-13 05:22:21 normalization > cast(portalId as 2022-04-13 05:22:21 normalization > int64 2022-04-13 05:22:21 normalization > ) as portalId, 2022-04-13 05:22:21 normalization > cast(sourceId as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as sourceId, 2022-04-13 05:22:21 normalization > cast(createdAt as 2022-04-13 05:22:21 normalization > int64 2022-04-13 05:22:21 normalization > ) as createdAt, 2022-04-13 05:22:21 normalization > cast(createdBy as 2022-04-13 05:22:21 normalization > int64 2022-04-13 05:22:21 normalization > ) as createdBy, 2022-04-13 05:22:21 normalization > cast(timestamp as 2022-04-13 05:22:21 normalization > int64 2022-04-13 05:22:21 normalization > ) as timestamp, 2022-04-13 05:22:21 normalization > cast(modifiedBy as 2022-04-13 05:22:21 normalization > int64 2022-04-13 05:22:21 normalization > ) as modifiedBy, 2022-04-13 05:22:21 normalization > attachments, 2022-04-13 05:22:21 normalization > cast(bodyPreview as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as bodyPreview, 2022-04-13 05:22:21 normalization > cast(gdprDeleted as boolean) as gdprDeleted, 2022-04-13 05:22:21 normalization > cast(lastUpdated as 2022-04-13 05:22:21 normalization > int64 2022-04-13 05:22:21 normalization > ) as lastUpdated, 2022-04-13 05:22:21 normalization > cast(activityType as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as activityType, 2022-04-13 05:22:21 normalization > cast(associations as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as associations, 2022-04-13 05:22:21 normalization > cast(bodyPreviewHtml as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as bodyPreviewHtml, 2022-04-13 05:22:21 normalization > allAccessibleTeamIds, 2022-04-13 05:22:21 normalization > cast(bodyPreviewIsTruncated as boolean) as bodyPreviewIsTruncated, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:21 normalization > from __dbt__cte__engagements_ab1 2022-04-13 05:22:21 normalization > -- engagements 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > ), __dbt__cte__engagements_ab3 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to build a hash column based on the values of this record 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__engagements_ab2 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > to_hex(md5(cast(concat(coalesce(cast(id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(uid as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(type as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(active as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(source as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(teamId as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(ownerId as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(metadata as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(portalId as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(sourceId as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(createdAt as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(createdBy as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(timestamp as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(modifiedBy as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(array_to_string(attachments, "|", "") as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(bodyPreview as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(gdprDeleted as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(lastUpdated as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(activityType as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(associations as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(bodyPreviewHtml as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(array_to_string(allAccessibleTeamIds, "|", "") as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(bodyPreviewIsTruncated as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), '')) as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ))) as _airbyte_engagements_hashid, 2022-04-13 05:22:21 normalization > tmp.* 2022-04-13 05:22:21 normalization > from __dbt__cte__engagements_ab2 tmp 2022-04-13 05:22:21 normalization > -- engagements 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > )-- Final base SQL model 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__engagements_ab3 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > id, 2022-04-13 05:22:21 normalization > uid, 2022-04-13 05:22:21 normalization > type, 2022-04-13 05:22:21 normalization > active, 2022-04-13 05:22:21 normalization > source, 2022-04-13 05:22:21 normalization > teamId, 2022-04-13 05:22:21 normalization > ownerId, 2022-04-13 05:22:21 normalization > metadata, 2022-04-13 05:22:21 normalization > portalId, 2022-04-13 05:22:21 normalization > sourceId, 2022-04-13 05:22:21 normalization > createdAt, 2022-04-13 05:22:21 normalization > createdBy, 2022-04-13 05:22:21 normalization > timestamp, 2022-04-13 05:22:21 normalization > modifiedBy, 2022-04-13 05:22:21 normalization > attachments, 2022-04-13 05:22:21 normalization > bodyPreview, 2022-04-13 05:22:21 normalization > gdprDeleted, 2022-04-13 05:22:21 normalization > lastUpdated, 2022-04-13 05:22:21 normalization > activityType, 2022-04-13 05:22:21 normalization > associations, 2022-04-13 05:22:21 normalization > bodyPreviewHtml, 2022-04-13 05:22:21 normalization > allAccessibleTeamIds, 2022-04-13 05:22:21 normalization > bodyPreviewIsTruncated, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at, 2022-04-13 05:22:21 normalization > _airbyte_engagements_hashid 2022-04-13 05:22:21 normalization > from __dbt__cte__engagements_ab3 2022-04-13 05:22:21 normalization > -- engagements from `mansagroup-datascience`.hubspot_._airbyte_raw_engagements 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > and coalesce( 2022-04-13 05:22:21 normalization > cast(_airbyte_emitted_at as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) >= (select max(cast(_airbyte_emitted_at as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > )) from `mansagroup-datascience`.hubspot_.`engagements`), 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > true) 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > ); 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 05:03:06.387344 [debug] [Thread-8 ]: Writing injected SQL for node "model.airbyte_utils.companies" 2022-04-13 05:22:21 normalization > 05:03:06.387661 [debug] [Thread-8 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:06.387842 [debug] [Thread-8 ]: Began executing node model.airbyte_utils.companies 2022-04-13 05:22:21 normalization > 05:03:06.421293 [debug] [Thread-8 ]: On model.airbyte_utils.companies: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.companies"} */ 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > create or replace table `mansagroup-datascience`.hubspot_.`companies__dbt_tmp` 2022-04-13 05:22:21 normalization > partition by timestamp_trunc(_airbyte_emitted_at, day) 2022-04-13 05:22:21 normalization > cluster by _airbyte_emitted_at 2022-04-13 05:22:21 normalization > OPTIONS( 2022-04-13 05:22:21 normalization > expiration_timestamp=TIMESTAMP_ADD(CURRENT_TIMESTAMP(), INTERVAL 12 hour) 2022-04-13 05:22:21 normalization > ) 2022-04-13 05:22:21 normalization > as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > with __dbt__cte__companies_ab1 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema 2022-04-13 05:22:21 normalization > -- depends_on: `mansagroup-datascience`.hubspot_._airbyte_raw_companies 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['id']") as id, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['archived']") as archived, 2022-04-13 05:22:21 normalization > json_extract_array(_airbyte_data, "$['contacts']") as contacts, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['createdAt']") as createdAt, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['updatedAt']") as updatedAt, 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > json_extract(table_alias._airbyte_data, "$['properties']") 2022-04-13 05:22:21 normalization > as properties, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:21 normalization > from `mansagroup-datascience`.hubspot_._airbyte_raw_companies as table_alias 2022-04-13 05:22:21 normalization > -- companies 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > ), __dbt__cte__companies_ab2 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__companies_ab1 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > cast(id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as id, 2022-04-13 05:22:21 normalization > cast(archived as boolean) as archived, 2022-04-13 05:22:21 normalization > contacts, 2022-04-13 05:22:21 normalization > cast(nullif(createdAt, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as createdAt, 2022-04-13 05:22:21 normalization > cast(nullif(updatedAt, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as updatedAt, 2022-04-13 05:22:21 normalization > cast(properties as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as properties, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:21 normalization > from __dbt__cte__companies_ab1 2022-04-13 05:22:21 normalization > -- companies 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > ), __dbt__cte__companies_ab3 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to build a hash column based on the values of this record 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__companies_ab2 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > to_hex(md5(cast(concat(coalesce(cast(id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(archived as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(array_to_string(contacts, "|", "") as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(createdAt as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(updatedAt as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(properties as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), '')) as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ))) as _airbyte_companies_hashid, 2022-04-13 05:22:21 normalization > tmp.* 2022-04-13 05:22:21 normalization > from __dbt__cte__companies_ab2 tmp 2022-04-13 05:22:21 normalization > -- companies 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > )-- Final base SQL model 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__companies_ab3 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > id, 2022-04-13 05:22:21 normalization > archived, 2022-04-13 05:22:21 normalization > contacts, 2022-04-13 05:22:21 normalization > createdAt, 2022-04-13 05:22:21 normalization > updatedAt, 2022-04-13 05:22:21 normalization > properties, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at, 2022-04-13 05:22:21 normalization > _airbyte_companies_hashid 2022-04-13 05:22:21 normalization > from __dbt__cte__companies_ab3 2022-04-13 05:22:21 normalization > -- companies from `mansagroup-datascience`.hubspot_._airbyte_raw_companies 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > and coalesce( 2022-04-13 05:22:21 normalization > cast(_airbyte_emitted_at as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) >= (select max(cast(_airbyte_emitted_at as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > )) from `mansagroup-datascience`.hubspot_.`companies`), 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > true) 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > ); 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 05:03:13.964340 [debug] [Thread-4 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:13.964995 [info ] [Thread-4 ]: 2 of 77 OK created table model hubspot_.contacts_list_memberships....................................................... [CREATE TABLE (4.8m rows, 813.9 MB processed) in 10.13s] 2022-04-13 05:22:21 normalization > 05:03:13.965450 [debug] [Thread-4 ]: Finished running node model.airbyte_utils.contacts_list_memberships 2022-04-13 05:22:21 normalization > 05:03:13.965671 [debug] [Thread-4 ]: Began running node model.airbyte_utils.form_submissions 2022-04-13 05:22:21 normalization > 05:03:13.966219 [info ] [Thread-4 ]: 11 of 77 START table model hubspot_.form_submissions.................................................................... [RUN] 2022-04-13 05:22:21 normalization > 05:03:13.966721 [debug] [Thread-4 ]: Acquiring new bigquery connection "model.airbyte_utils.form_submissions" 2022-04-13 05:22:21 normalization > 05:03:13.966909 [debug] [Thread-4 ]: Began compiling node model.airbyte_utils.form_submissions 2022-04-13 05:22:21 normalization > 05:03:13.967067 [debug] [Thread-4 ]: Compiling model.airbyte_utils.form_submissions 2022-04-13 05:22:21 normalization > 05:03:13.975694 [debug] [Thread-4 ]: Writing injected SQL for node "model.airbyte_utils.form_submissions" 2022-04-13 05:22:21 normalization > 05:03:13.976021 [debug] [Thread-4 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:13.976208 [debug] [Thread-4 ]: Began executing node model.airbyte_utils.form_submissions 2022-04-13 05:22:21 normalization > 05:03:13.980287 [debug] [Thread-4 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:14.090231 [debug] [Thread-4 ]: Writing runtime SQL for node "model.airbyte_utils.form_submissions" 2022-04-13 05:22:21 normalization > 05:03:14.090591 [debug] [Thread-4 ]: On model.airbyte_utils.form_submissions: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.form_submissions"} */ 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > create or replace table `mansagroup-datascience`.hubspot_.`form_submissions` 2022-04-13 05:22:21 normalization > partition by timestamp_trunc(_airbyte_emitted_at, day) 2022-04-13 05:22:21 normalization > cluster by _airbyte_emitted_at 2022-04-13 05:22:21 normalization > OPTIONS() 2022-04-13 05:22:21 normalization > as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > with __dbt__cte__form_submissions_ab1 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema 2022-04-13 05:22:21 normalization > -- depends_on: `mansagroup-datascience`.hubspot_._airbyte_raw_form_submissions 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['formId']") as formId, 2022-04-13 05:22:21 normalization > json_extract_array(_airbyte_data, "$['values']") as values, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['pageUrl']") as pageUrl, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['updatedAt']") as updatedAt, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['submittedAt']") as submittedAt, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:21 normalization > from `mansagroup-datascience`.hubspot_._airbyte_raw_form_submissions as table_alias 2022-04-13 05:22:21 normalization > -- form_submissions 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > ), __dbt__cte__form_submissions_ab2 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__form_submissions_ab1 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > cast(formId as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as formId, 2022-04-13 05:22:21 normalization > values, 2022-04-13 05:22:21 normalization > cast(pageUrl as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as pageUrl, 2022-04-13 05:22:21 normalization > cast(updatedAt as 2022-04-13 05:22:21 normalization > int64 2022-04-13 05:22:21 normalization > ) as updatedAt, 2022-04-13 05:22:21 normalization > cast(submittedAt as 2022-04-13 05:22:21 normalization > int64 2022-04-13 05:22:21 normalization > ) as submittedAt, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:21 normalization > from __dbt__cte__form_submissions_ab1 2022-04-13 05:22:21 normalization > -- form_submissions 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > ), __dbt__cte__form_submissions_ab3 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to build a hash column based on the values of this record 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__form_submissions_ab2 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > to_hex(md5(cast(concat(coalesce(cast(formId as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(array_to_string(values, "|", "") as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(pageUrl as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(updatedAt as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(submittedAt as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), '')) as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ))) as _airbyte_form_submissions_hashid, 2022-04-13 05:22:21 normalization > tmp.* 2022-04-13 05:22:21 normalization > from __dbt__cte__form_submissions_ab2 tmp 2022-04-13 05:22:21 normalization > -- form_submissions 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > )-- Final base SQL model 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__form_submissions_ab3 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > formId, 2022-04-13 05:22:21 normalization > values, 2022-04-13 05:22:21 normalization > pageUrl, 2022-04-13 05:22:21 normalization > updatedAt, 2022-04-13 05:22:21 normalization > submittedAt, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at, 2022-04-13 05:22:21 normalization > _airbyte_form_submissions_hashid 2022-04-13 05:22:21 normalization > from __dbt__cte__form_submissions_ab3 2022-04-13 05:22:21 normalization > -- form_submissions from `mansagroup-datascience`.hubspot_._airbyte_raw_form_submissions 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > ); 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 05:03:14.553909 [debug] [Thread-8 ]: 2022-04-13 05:22:21 normalization > In `mansagroup-datascience`.`hubspot_`.`companies`: 2022-04-13 05:22:21 normalization > Schema changed: False 2022-04-13 05:22:21 normalization > Source columns not in target: [] 2022-04-13 05:22:21 normalization > Target columns not in source: [] 2022-04-13 05:22:21 normalization > New column types: [] 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 05:03:14.569467 [debug] [Thread-8 ]: Writing runtime SQL for node "model.airbyte_utils.companies" 2022-04-13 05:22:21 normalization > 05:03:14.569942 [debug] [Thread-8 ]: On model.airbyte_utils.companies: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.companies"} */ 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > merge into `mansagroup-datascience`.hubspot_.`companies` as DBT_INTERNAL_DEST 2022-04-13 05:22:21 normalization > using ( 2022-04-13 05:22:21 normalization > select * from `mansagroup-datascience`.hubspot_.`companies__dbt_tmp` 2022-04-13 05:22:21 normalization > ) as DBT_INTERNAL_SOURCE 2022-04-13 05:22:21 normalization > on 2022-04-13 05:22:21 normalization > DBT_INTERNAL_SOURCE._airbyte_ab_id = DBT_INTERNAL_DEST._airbyte_ab_id 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > when matched then update set 2022-04-13 05:22:21 normalization > `id` = DBT_INTERNAL_SOURCE.`id`,`archived` = DBT_INTERNAL_SOURCE.`archived`,`contacts` = DBT_INTERNAL_SOURCE.`contacts`,`createdAt` = DBT_INTERNAL_SOURCE.`createdAt`,`updatedAt` = DBT_INTERNAL_SOURCE.`updatedAt`,`properties` = DBT_INTERNAL_SOURCE.`properties`,`_airbyte_ab_id` = DBT_INTERNAL_SOURCE.`_airbyte_ab_id`,`_airbyte_emitted_at` = DBT_INTERNAL_SOURCE.`_airbyte_emitted_at`,`_airbyte_normalized_at` = DBT_INTERNAL_SOURCE.`_airbyte_normalized_at`,`_airbyte_companies_hashid` = DBT_INTERNAL_SOURCE.`_airbyte_companies_hashid` 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > when not matched then insert 2022-04-13 05:22:21 normalization > (`id`, `archived`, `contacts`, `createdAt`, `updatedAt`, `properties`, `_airbyte_ab_id`, `_airbyte_emitted_at`, `_airbyte_normalized_at`, `_airbyte_companies_hashid`) 2022-04-13 05:22:21 normalization > values 2022-04-13 05:22:21 normalization > (`id`, `archived`, `contacts`, `createdAt`, `updatedAt`, `properties`, `_airbyte_ab_id`, `_airbyte_emitted_at`, `_airbyte_normalized_at`, `_airbyte_companies_hashid`) 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 05:03:19.598573 [debug] [Thread-8 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:19.599243 [info ] [Thread-8 ]: 10 of 77 OK created incremental model hubspot_.companies................................................................ [MERGE (15.2k rows, 93.6 MB processed) in 13.31s] 2022-04-13 05:22:21 normalization > 05:03:19.599678 [debug] [Thread-8 ]: Finished running node model.airbyte_utils.companies 2022-04-13 05:22:21 normalization > 05:03:19.599881 [debug] [Thread-8 ]: Began running node model.airbyte_utils.forms 2022-04-13 05:22:21 normalization > 05:03:19.600425 [info ] [Thread-8 ]: 12 of 77 START table model hubspot_.forms............................................................................... [RUN] 2022-04-13 05:22:21 normalization > 05:03:19.601102 [debug] [Thread-8 ]: Acquiring new bigquery connection "model.airbyte_utils.forms" 2022-04-13 05:22:21 normalization > 05:03:19.601305 [debug] [Thread-8 ]: Began compiling node model.airbyte_utils.forms 2022-04-13 05:22:21 normalization > 05:03:19.601464 [debug] [Thread-8 ]: Compiling model.airbyte_utils.forms 2022-04-13 05:22:21 normalization > 05:03:19.612088 [debug] [Thread-8 ]: Writing injected SQL for node "model.airbyte_utils.forms" 2022-04-13 05:22:21 normalization > 05:03:19.612449 [debug] [Thread-8 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:19.612621 [debug] [Thread-8 ]: Began executing node model.airbyte_utils.forms 2022-04-13 05:22:21 normalization > 05:03:19.616448 [debug] [Thread-8 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:19.729739 [debug] [Thread-8 ]: Writing runtime SQL for node "model.airbyte_utils.forms" 2022-04-13 05:22:21 normalization > 05:03:19.730095 [debug] [Thread-8 ]: On model.airbyte_utils.forms: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.forms"} */ 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > create or replace table `mansagroup-datascience`.hubspot_.`forms` 2022-04-13 05:22:21 normalization > partition by timestamp_trunc(_airbyte_emitted_at, day) 2022-04-13 05:22:21 normalization > cluster by _airbyte_emitted_at 2022-04-13 05:22:21 normalization > OPTIONS() 2022-04-13 05:22:21 normalization > as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > with __dbt__cte__forms_ab1 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema 2022-04-13 05:22:21 normalization > -- depends_on: `mansagroup-datascience`.hubspot_._airbyte_raw_forms 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['id']") as id, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['name']") as name, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['archived']") as archived, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['createdAt']") as createdAt, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['deletedAt']") as deletedAt, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['updatedAt']") as updatedAt, 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > json_extract(table_alias._airbyte_data, "$['properties']") 2022-04-13 05:22:21 normalization > as properties, 2022-04-13 05:22:21 normalization > json_extract_array(_airbyte_data, "$['fieldGroups']") as fieldGroups, 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > json_extract(table_alias._airbyte_data, "$['configuration']") 2022-04-13 05:22:21 normalization > as configuration, 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > json_extract(table_alias._airbyte_data, "$['displayOptions']") 2022-04-13 05:22:21 normalization > as displayOptions, 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > json_extract(table_alias._airbyte_data, "$['legalConsentOptions']") 2022-04-13 05:22:21 normalization > as legalConsentOptions, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:21 normalization > from `mansagroup-datascience`.hubspot_._airbyte_raw_forms as table_alias 2022-04-13 05:22:21 normalization > -- forms 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > ), __dbt__cte__forms_ab2 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__forms_ab1 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > cast(id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as id, 2022-04-13 05:22:21 normalization > cast(name as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as name, 2022-04-13 05:22:21 normalization > cast(archived as boolean) as archived, 2022-04-13 05:22:21 normalization > cast(nullif(createdAt, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as createdAt, 2022-04-13 05:22:21 normalization > cast(deletedAt as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as deletedAt, 2022-04-13 05:22:21 normalization > cast(nullif(updatedAt, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as updatedAt, 2022-04-13 05:22:21 normalization > cast(properties as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as properties, 2022-04-13 05:22:21 normalization > fieldGroups, 2022-04-13 05:22:21 normalization > cast(configuration as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as configuration, 2022-04-13 05:22:21 normalization > cast(displayOptions as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as displayOptions, 2022-04-13 05:22:21 normalization > cast(legalConsentOptions as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as legalConsentOptions, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:21 normalization > from __dbt__cte__forms_ab1 2022-04-13 05:22:21 normalization > -- forms 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > ), __dbt__cte__forms_ab3 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to build a hash column based on the values of this record 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__forms_ab2 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > to_hex(md5(cast(concat(coalesce(cast(id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(name as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(archived as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(createdAt as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(deletedAt as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(updatedAt as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(properties as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(array_to_string(fieldGroups, "|", "") as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(configuration as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(displayOptions as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(legalConsentOptions as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), '')) as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ))) as _airbyte_forms_hashid, 2022-04-13 05:22:21 normalization > tmp.* 2022-04-13 05:22:21 normalization > from __dbt__cte__forms_ab2 tmp 2022-04-13 05:22:21 normalization > -- forms 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > )-- Final base SQL model 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__forms_ab3 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > id, 2022-04-13 05:22:21 normalization > name, 2022-04-13 05:22:21 normalization > archived, 2022-04-13 05:22:21 normalization > createdAt, 2022-04-13 05:22:21 normalization > deletedAt, 2022-04-13 05:22:21 normalization > updatedAt, 2022-04-13 05:22:21 normalization > properties, 2022-04-13 05:22:21 normalization > fieldGroups, 2022-04-13 05:22:21 normalization > configuration, 2022-04-13 05:22:21 normalization > displayOptions, 2022-04-13 05:22:21 normalization > legalConsentOptions, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at, 2022-04-13 05:22:21 normalization > _airbyte_forms_hashid 2022-04-13 05:22:21 normalization > from __dbt__cte__forms_ab3 2022-04-13 05:22:21 normalization > -- forms from `mansagroup-datascience`.hubspot_._airbyte_raw_forms 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > ); 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 05:03:21.276881 [debug] [Thread-4 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:21.277543 [info ] [Thread-4 ]: 11 of 77 OK created table model hubspot_.form_submissions............................................................... [CREATE TABLE (59.3k rows, 46.5 MB processed) in 7.31s] 2022-04-13 05:22:21 normalization > 05:03:21.278007 [debug] [Thread-4 ]: Finished running node model.airbyte_utils.form_submissions 2022-04-13 05:22:21 normalization > 05:03:21.278244 [debug] [Thread-4 ]: Began running node model.airbyte_utils.owners 2022-04-13 05:22:21 normalization > 05:03:21.278874 [info ] [Thread-4 ]: 13 of 77 START table model hubspot_.owners.............................................................................. [RUN] 2022-04-13 05:22:21 normalization > 05:03:21.279612 [debug] [Thread-4 ]: Acquiring new bigquery connection "model.airbyte_utils.owners" 2022-04-13 05:22:21 normalization > 05:03:21.279819 [debug] [Thread-4 ]: Began compiling node model.airbyte_utils.owners 2022-04-13 05:22:21 normalization > 05:03:21.280027 [debug] [Thread-4 ]: Compiling model.airbyte_utils.owners 2022-04-13 05:22:21 normalization > 05:03:21.289624 [debug] [Thread-4 ]: Writing injected SQL for node "model.airbyte_utils.owners" 2022-04-13 05:22:21 normalization > 05:03:21.289978 [debug] [Thread-4 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:21.290160 [debug] [Thread-4 ]: Began executing node model.airbyte_utils.owners 2022-04-13 05:22:21 normalization > 05:03:21.294290 [debug] [Thread-4 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:21.391997 [debug] [Thread-4 ]: Writing runtime SQL for node "model.airbyte_utils.owners" 2022-04-13 05:22:21 normalization > 05:03:21.392378 [debug] [Thread-4 ]: On model.airbyte_utils.owners: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.owners"} */ 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > create or replace table `mansagroup-datascience`.hubspot_.`owners` 2022-04-13 05:22:21 normalization > partition by timestamp_trunc(_airbyte_emitted_at, day) 2022-04-13 05:22:21 normalization > cluster by _airbyte_emitted_at 2022-04-13 05:22:21 normalization > OPTIONS() 2022-04-13 05:22:21 normalization > as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > with __dbt__cte__owners_ab1 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema 2022-04-13 05:22:21 normalization > -- depends_on: `mansagroup-datascience`.hubspot_._airbyte_raw_owners 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['id']") as id, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['email']") as email, 2022-04-13 05:22:21 normalization > json_extract_array(_airbyte_data, "$['teams']") as teams, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['userId']") as userId, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['archived']") as archived, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['lastName']") as lastName, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['createdAt']") as createdAt, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['firstName']") as firstName, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['updatedAt']") as updatedAt, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:21 normalization > from `mansagroup-datascience`.hubspot_._airbyte_raw_owners as table_alias 2022-04-13 05:22:21 normalization > -- owners 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > ), __dbt__cte__owners_ab2 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__owners_ab1 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > cast(id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as id, 2022-04-13 05:22:21 normalization > cast(email as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as email, 2022-04-13 05:22:21 normalization > teams, 2022-04-13 05:22:21 normalization > cast(userId as 2022-04-13 05:22:21 normalization > int64 2022-04-13 05:22:21 normalization > ) as userId, 2022-04-13 05:22:21 normalization > cast(archived as boolean) as archived, 2022-04-13 05:22:21 normalization > cast(lastName as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as lastName, 2022-04-13 05:22:21 normalization > cast(nullif(createdAt, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as createdAt, 2022-04-13 05:22:21 normalization > cast(firstName as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as firstName, 2022-04-13 05:22:21 normalization > cast(nullif(updatedAt, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as updatedAt, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:21 normalization > from __dbt__cte__owners_ab1 2022-04-13 05:22:21 normalization > -- owners 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > ), __dbt__cte__owners_ab3 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to build a hash column based on the values of this record 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__owners_ab2 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > to_hex(md5(cast(concat(coalesce(cast(id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(email as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(array_to_string(teams, "|", "") as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(userId as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(archived as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(lastName as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(createdAt as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(firstName as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(updatedAt as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), '')) as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ))) as _airbyte_owners_hashid, 2022-04-13 05:22:21 normalization > tmp.* 2022-04-13 05:22:21 normalization > from __dbt__cte__owners_ab2 tmp 2022-04-13 05:22:21 normalization > -- owners 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > )-- Final base SQL model 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__owners_ab3 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > id, 2022-04-13 05:22:21 normalization > email, 2022-04-13 05:22:21 normalization > teams, 2022-04-13 05:22:21 normalization > userId, 2022-04-13 05:22:21 normalization > archived, 2022-04-13 05:22:21 normalization > lastName, 2022-04-13 05:22:21 normalization > createdAt, 2022-04-13 05:22:21 normalization > firstName, 2022-04-13 05:22:21 normalization > updatedAt, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at, 2022-04-13 05:22:21 normalization > _airbyte_owners_hashid 2022-04-13 05:22:21 normalization > from __dbt__cte__owners_ab3 2022-04-13 05:22:21 normalization > -- owners from `mansagroup-datascience`.hubspot_._airbyte_raw_owners 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > ); 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 05:03:21.678215 [debug] [Thread-8 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:21.678812 [info ] [Thread-8 ]: 12 of 77 OK created table model hubspot_.forms.......................................................................... [CREATE TABLE (28.0 rows, 66.7 KB processed) in 2.08s] 2022-04-13 05:22:21 normalization > 05:03:21.679242 [debug] [Thread-8 ]: Finished running node model.airbyte_utils.forms 2022-04-13 05:22:21 normalization > 05:03:21.679447 [debug] [Thread-8 ]: Began running node model.airbyte_utils.ticket_pipelines 2022-04-13 05:22:21 normalization > 05:03:21.679983 [info ] [Thread-8 ]: 14 of 77 START table model hubspot_.ticket_pipelines.................................................................... [RUN] 2022-04-13 05:22:21 normalization > 05:03:21.680707 [debug] [Thread-8 ]: Acquiring new bigquery connection "model.airbyte_utils.ticket_pipelines" 2022-04-13 05:22:21 normalization > 05:03:21.680915 [debug] [Thread-8 ]: Began compiling node model.airbyte_utils.ticket_pipelines 2022-04-13 05:22:21 normalization > 05:03:21.681078 [debug] [Thread-8 ]: Compiling model.airbyte_utils.ticket_pipelines 2022-04-13 05:22:21 normalization > 05:03:21.689729 [debug] [Thread-8 ]: Writing injected SQL for node "model.airbyte_utils.ticket_pipelines" 2022-04-13 05:22:21 normalization > 05:03:21.690050 [debug] [Thread-8 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:21.690256 [debug] [Thread-8 ]: Began executing node model.airbyte_utils.ticket_pipelines 2022-04-13 05:22:21 normalization > 05:03:21.696078 [debug] [Thread-8 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:21.799028 [debug] [Thread-8 ]: Writing runtime SQL for node "model.airbyte_utils.ticket_pipelines" 2022-04-13 05:22:21 normalization > 05:03:21.799390 [debug] [Thread-8 ]: On model.airbyte_utils.ticket_pipelines: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.ticket_pipelines"} */ 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > create or replace table `mansagroup-datascience`.hubspot_.`ticket_pipelines` 2022-04-13 05:22:21 normalization > partition by timestamp_trunc(_airbyte_emitted_at, day) 2022-04-13 05:22:21 normalization > cluster by _airbyte_emitted_at 2022-04-13 05:22:21 normalization > OPTIONS() 2022-04-13 05:22:21 normalization > as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > with __dbt__cte__ticket_pipelines_ab1 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema 2022-04-13 05:22:21 normalization > -- depends_on: `mansagroup-datascience`.hubspot_._airbyte_raw_ticket_pipelines 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['id']") as id, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['label']") as label, 2022-04-13 05:22:21 normalization > json_extract_array(_airbyte_data, "$['stages']") as stages, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['archived']") as archived, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['createdAt']") as createdAt, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['updatedAt']") as updatedAt, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:21 normalization > from `mansagroup-datascience`.hubspot_._airbyte_raw_ticket_pipelines as table_alias 2022-04-13 05:22:21 normalization > -- ticket_pipelines 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > ), __dbt__cte__ticket_pipelines_ab2 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__ticket_pipelines_ab1 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > cast(id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as id, 2022-04-13 05:22:21 normalization > cast(label as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as label, 2022-04-13 05:22:21 normalization > stages, 2022-04-13 05:22:21 normalization > cast(archived as boolean) as archived, 2022-04-13 05:22:21 normalization > cast(createdAt as 2022-04-13 05:22:21 normalization > int64 2022-04-13 05:22:21 normalization > ) as createdAt, 2022-04-13 05:22:21 normalization > cast(updatedAt as 2022-04-13 05:22:21 normalization > int64 2022-04-13 05:22:21 normalization > ) as updatedAt, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:21 normalization > from __dbt__cte__ticket_pipelines_ab1 2022-04-13 05:22:21 normalization > -- ticket_pipelines 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > ), __dbt__cte__ticket_pipelines_ab3 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to build a hash column based on the values of this record 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__ticket_pipelines_ab2 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > to_hex(md5(cast(concat(coalesce(cast(id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(label as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(array_to_string(stages, "|", "") as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(archived as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(createdAt as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(updatedAt as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), '')) as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ))) as _airbyte_ticket_pipelines_hashid, 2022-04-13 05:22:21 normalization > tmp.* 2022-04-13 05:22:21 normalization > from __dbt__cte__ticket_pipelines_ab2 tmp 2022-04-13 05:22:21 normalization > -- ticket_pipelines 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > )-- Final base SQL model 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__ticket_pipelines_ab3 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > id, 2022-04-13 05:22:21 normalization > label, 2022-04-13 05:22:21 normalization > stages, 2022-04-13 05:22:21 normalization > archived, 2022-04-13 05:22:21 normalization > createdAt, 2022-04-13 05:22:21 normalization > updatedAt, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at, 2022-04-13 05:22:21 normalization > _airbyte_ticket_pipelines_hashid 2022-04-13 05:22:21 normalization > from __dbt__cte__ticket_pipelines_ab3 2022-04-13 05:22:21 normalization > -- ticket_pipelines from `mansagroup-datascience`.hubspot_._airbyte_raw_ticket_pipelines 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > ); 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 05:03:22.308806 [debug] [Thread-8 ]: BigQuery adapter: Retry attempt 1 of 3 after error: BadRequest('Bad int64 value: 1970-01-01T00:00:00Z') 2022-04-13 05:22:21 normalization > 05:03:23.278647 [debug] [Thread-4 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:23.279305 [info ] [Thread-4 ]: 13 of 77 OK created table model hubspot_.owners......................................................................... [CREATE TABLE (37.0 rows, 10.2 KB processed) in 2.00s] 2022-04-13 05:22:21 normalization > 05:03:23.279754 [debug] [Thread-4 ]: Finished running node model.airbyte_utils.owners 2022-04-13 05:22:21 normalization > 05:03:23.279974 [debug] [Thread-4 ]: Began running node model.airbyte_utils.workflows 2022-04-13 05:22:21 normalization > 05:03:23.280509 [info ] [Thread-4 ]: 15 of 77 START table model hubspot_.workflows........................................................................... [RUN] 2022-04-13 05:22:21 normalization > 05:03:23.281160 [debug] [Thread-4 ]: Acquiring new bigquery connection "model.airbyte_utils.workflows" 2022-04-13 05:22:21 normalization > 05:03:23.281365 [debug] [Thread-4 ]: Began compiling node model.airbyte_utils.workflows 2022-04-13 05:22:21 normalization > 05:03:23.281527 [debug] [Thread-4 ]: Compiling model.airbyte_utils.workflows 2022-04-13 05:22:21 normalization > 05:03:23.290463 [debug] [Thread-4 ]: Writing injected SQL for node "model.airbyte_utils.workflows" 2022-04-13 05:22:21 normalization > 05:03:23.290793 [debug] [Thread-4 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:23.290965 [debug] [Thread-4 ]: Began executing node model.airbyte_utils.workflows 2022-04-13 05:22:21 normalization > 05:03:23.294971 [debug] [Thread-4 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:23.387661 [debug] [Thread-4 ]: Writing runtime SQL for node "model.airbyte_utils.workflows" 2022-04-13 05:22:21 normalization > 05:03:23.388065 [debug] [Thread-4 ]: On model.airbyte_utils.workflows: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.workflows"} */ 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > create or replace table `mansagroup-datascience`.hubspot_.`workflows` 2022-04-13 05:22:21 normalization > partition by timestamp_trunc(_airbyte_emitted_at, day) 2022-04-13 05:22:21 normalization > cluster by _airbyte_emitted_at 2022-04-13 05:22:21 normalization > OPTIONS() 2022-04-13 05:22:21 normalization > as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > with __dbt__cte__workflows_ab1 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema 2022-04-13 05:22:21 normalization > -- depends_on: `mansagroup-datascience`.hubspot_._airbyte_raw_workflows 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['id']") as id, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['name']") as name, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['type']") as type, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['enabled']") as enabled, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['updatedAt']") as updatedAt, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['insertedAt']") as insertedAt, 2022-04-13 05:22:21 normalization > json_extract_array(_airbyte_data, "$['personaTagIds']") as personaTagIds, 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > json_extract(table_alias._airbyte_data, "$['contactListIds']") 2022-04-13 05:22:21 normalization > as contactListIds, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:21 normalization > from `mansagroup-datascience`.hubspot_._airbyte_raw_workflows as table_alias 2022-04-13 05:22:21 normalization > -- workflows 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > ), __dbt__cte__workflows_ab2 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__workflows_ab1 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > cast(id as 2022-04-13 05:22:21 normalization > int64 2022-04-13 05:22:21 normalization > ) as id, 2022-04-13 05:22:21 normalization > cast(name as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as name, 2022-04-13 05:22:21 normalization > cast(type as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as type, 2022-04-13 05:22:21 normalization > cast(enabled as boolean) as enabled, 2022-04-13 05:22:21 normalization > cast(updatedAt as 2022-04-13 05:22:21 normalization > int64 2022-04-13 05:22:21 normalization > ) as updatedAt, 2022-04-13 05:22:21 normalization > cast(insertedAt as 2022-04-13 05:22:21 normalization > int64 2022-04-13 05:22:21 normalization > ) as insertedAt, 2022-04-13 05:22:21 normalization > personaTagIds, 2022-04-13 05:22:21 normalization > cast(contactListIds as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as contactListIds, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:21 normalization > from __dbt__cte__workflows_ab1 2022-04-13 05:22:21 normalization > -- workflows 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > ), __dbt__cte__workflows_ab3 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to build a hash column based on the values of this record 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__workflows_ab2 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > to_hex(md5(cast(concat(coalesce(cast(id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(name as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(type as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(enabled as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(updatedAt as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(insertedAt as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(array_to_string(personaTagIds, "|", "") as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(contactListIds as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), '')) as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ))) as _airbyte_workflows_hashid, 2022-04-13 05:22:21 normalization > tmp.* 2022-04-13 05:22:21 normalization > from __dbt__cte__workflows_ab2 tmp 2022-04-13 05:22:21 normalization > -- workflows 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > )-- Final base SQL model 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__workflows_ab3 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > id, 2022-04-13 05:22:21 normalization > name, 2022-04-13 05:22:21 normalization > type, 2022-04-13 05:22:21 normalization > enabled, 2022-04-13 05:22:21 normalization > updatedAt, 2022-04-13 05:22:21 normalization > insertedAt, 2022-04-13 05:22:21 normalization > personaTagIds, 2022-04-13 05:22:21 normalization > contactListIds, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at, 2022-04-13 05:22:21 normalization > _airbyte_workflows_hashid 2022-04-13 05:22:21 normalization > from __dbt__cte__workflows_ab3 2022-04-13 05:22:21 normalization > -- workflows from `mansagroup-datascience`.hubspot_._airbyte_raw_workflows 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > ); 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 05:03:23.813489 [debug] [Thread-8 ]: BigQuery adapter: Retry attempt 2 of 3 after error: BadRequest('Bad int64 value: 1970-01-01T00:00:00Z') 2022-04-13 05:22:21 normalization > 05:03:25.265422 [debug] [Thread-4 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:25.266086 [info ] [Thread-4 ]: 15 of 77 OK created table model hubspot_.workflows...................................................................... [CREATE TABLE (84.0 rows, 93.9 KB processed) in 1.98s] 2022-04-13 05:22:21 normalization > 05:03:25.266575 [debug] [Thread-8 ]: BigQuery adapter: Retry attempt 3 of 3 after error: BadRequest('Bad int64 value: 1970-01-01T00:00:00Z') 2022-04-13 05:22:21 normalization > 05:03:25.267086 [debug] [Thread-4 ]: Finished running node model.airbyte_utils.workflows 2022-04-13 05:22:21 normalization > 05:03:25.267430 [debug] [Thread-4 ]: Began running node model.airbyte_utils.marketing_emails 2022-04-13 05:22:21 normalization > 05:03:25.267946 [info ] [Thread-4 ]: 16 of 77 START table model hubspot_.marketing_emails.................................................................... [RUN] 2022-04-13 05:22:21 normalization > 05:03:25.268757 [debug] [Thread-4 ]: Acquiring new bigquery connection "model.airbyte_utils.marketing_emails" 2022-04-13 05:22:21 normalization > 05:03:25.268971 [debug] [Thread-4 ]: Began compiling node model.airbyte_utils.marketing_emails 2022-04-13 05:22:21 normalization > 05:03:25.269138 [debug] [Thread-4 ]: Compiling model.airbyte_utils.marketing_emails 2022-04-13 05:22:21 normalization > 05:03:25.295063 [debug] [Thread-4 ]: Writing injected SQL for node "model.airbyte_utils.marketing_emails" 2022-04-13 05:22:21 normalization > 05:03:25.295441 [debug] [Thread-4 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:25.295621 [debug] [Thread-4 ]: Began executing node model.airbyte_utils.marketing_emails 2022-04-13 05:22:21 normalization > 05:03:25.302015 [debug] [Thread-4 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:25.413243 [debug] [Thread-4 ]: Writing runtime SQL for node "model.airbyte_utils.marketing_emails" 2022-04-13 05:22:21 normalization > 05:03:25.413692 [debug] [Thread-4 ]: On model.airbyte_utils.marketing_emails: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.marketing_emails"} */ 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > create or replace table `mansagroup-datascience`.hubspot_.`marketing_emails` 2022-04-13 05:22:21 normalization > partition by timestamp_trunc(_airbyte_emitted_at, day) 2022-04-13 05:22:21 normalization > cluster by _airbyte_emitted_at 2022-04-13 05:22:21 normalization > OPTIONS() 2022-04-13 05:22:21 normalization > as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > with __dbt__cte__marketing_emails_ab1 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema 2022-04-13 05:22:21 normalization > -- depends_on: `mansagroup-datascience`.hubspot_._airbyte_raw_marketing_emails 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['ab']") as ab, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['id']") as id, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['url']") as url, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['name']") as name, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['slug']") as slug, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['state']") as state, 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > json_extract(table_alias._airbyte_data, "$['stats']") 2022-04-13 05:22:21 normalization > as stats, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['domain']") as domain, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['created']") as created, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['replyTo']") as replyTo, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['subject']") as subject, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['updated']") as updated, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['abStatus']") as abStatus, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['archived']") as archived, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['authorAt']") as authorAt, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['campaign']") as campaign, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['folderId']") as folderId, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['fromName']") as fromName, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['portalId']") as portalId, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['selected']") as selected, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['emailBody']") as emailBody, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['emailNote']") as emailNote, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['emailType']") as emailType, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['htmlTitle']") as htmlTitle, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['authorName']") as authorName, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['categoryId']") as categoryId, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['clonedFrom']") as clonedFrom, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['createPage']") as createPage, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['freezeDate']") as freezeDate, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['leadFlowId']") as leadFlowId, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['liveDomain']") as liveDomain, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['previewKey']") as previewKey, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['abVariation']") as abVariation, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['absoluteUrl']") as absoluteUrl, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['createdById']") as createdById, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['isPublished']") as isPublished, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['publishDate']") as publishDate, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['subcategory']") as subcategory, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['updatedById']") as updatedById, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['authorUserId']") as authorUserId, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['campaignName']") as campaignName, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['currentState']") as currentState, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['publishedUrl']") as publishedUrl, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['subscription']") as subscription, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['templatePath']") as templatePath, 2022-04-13 05:22:21 normalization > json_extract_array(_airbyte_data, "$['vidsExcluded']") as vidsExcluded, 2022-04-13 05:22:21 normalization > json_extract_array(_airbyte_data, "$['vidsIncluded']") as vidsIncluded, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['abHoursToWait']") as abHoursToWait, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['blogEmailType']") as blogEmailType, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['customReplyTo']") as customReplyTo, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['maxRssEntries']") as maxRssEntries, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['publishedById']") as publishedById, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['transactional']") as transactional, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['unpublishedAt']") as unpublishedAt, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['pageRedirected']") as pageRedirected, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['resolvedDomain']") as resolvedDomain, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['abSuccessMetric']") as abSuccessMetric, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['analyticsPageId']") as analyticsPageId, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['metaDescription']") as metaDescription, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['publishedByName']") as publishedByName, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['abTestPercentage']") as abTestPercentage, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['feedbackSurveyId']") as feedbackSurveyId, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['processingStatus']") as processingStatus, 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > json_extract(table_alias._airbyte_data, "$['smartEmailFields']") 2022-04-13 05:22:21 normalization > as smartEmailFields, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['subscriptionName']") as subscriptionName, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['abSamplingDefault']") as abSamplingDefault, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['analyticsPageType']") as analyticsPageType, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['canSpamSettingsId']") as canSpamSettingsId, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['emailTemplateMode']") as emailTemplateMode, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['pageExpiryEnabled']") as pageExpiryEnabled, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['currentlyPublished']") as currentlyPublished, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['emailbodyPlaintext']") as emailbodyPlaintext, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['publishImmediately']") as publishImmediately, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['abSampleSizeDefault']") as abSampleSizeDefault, 2022-04-13 05:22:21 normalization > json_extract_array(_airbyte_data, "$['allEmailCampaignIds']") as allEmailCampaignIds, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['contentTypeCategory']") as contentTypeCategory, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['isLocalTimezoneSend']") as isLocalTimezoneSend, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['customReplyToEnabled']") as customReplyToEnabled, 2022-04-13 05:22:21 normalization > json_extract_array(_airbyte_data, "$['mailingListsExcluded']") as mailingListsExcluded, 2022-04-13 05:22:21 normalization > json_extract_array(_airbyte_data, "$['mailingListsIncluded']") as mailingListsIncluded, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['feedbackEmailCategory']") as feedbackEmailCategory, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['primaryEmailCampaignId']") as primaryEmailCampaignId, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['useRssHeadlineAsSubject']") as useRssHeadlineAsSubject, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['isGraymailSuppressionEnabled']") as isGraymailSuppressionEnabled, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['isRecipientFatigueSuppressionEnabled']") as isRecipientFatigueSuppressionEnabled, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:21 normalization > from `mansagroup-datascience`.hubspot_._airbyte_raw_marketing_emails as table_alias 2022-04-13 05:22:21 normalization > -- marketing_emails 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > ), __dbt__cte__marketing_emails_ab2 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__marketing_emails_ab1 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > cast(ab as boolean) as ab, 2022-04-13 05:22:21 normalization > cast(id as 2022-04-13 05:22:21 normalization > int64 2022-04-13 05:22:21 normalization > ) as id, 2022-04-13 05:22:21 normalization > cast(url as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as url, 2022-04-13 05:22:21 normalization > cast(name as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as name, 2022-04-13 05:22:21 normalization > cast(slug as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as slug, 2022-04-13 05:22:21 normalization > cast(state as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as state, 2022-04-13 05:22:21 normalization > cast(stats as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as stats, 2022-04-13 05:22:21 normalization > cast(domain as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as domain, 2022-04-13 05:22:21 normalization > cast(created as 2022-04-13 05:22:21 normalization > int64 2022-04-13 05:22:21 normalization > ) as created, 2022-04-13 05:22:21 normalization > cast(replyTo as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as replyTo, 2022-04-13 05:22:21 normalization > cast(subject as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as subject, 2022-04-13 05:22:21 normalization > cast(updated as 2022-04-13 05:22:21 normalization > int64 2022-04-13 05:22:21 normalization > ) as updated, 2022-04-13 05:22:21 normalization > cast(abStatus as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as abStatus, 2022-04-13 05:22:21 normalization > cast(archived as boolean) as archived, 2022-04-13 05:22:21 normalization > cast(authorAt as 2022-04-13 05:22:21 normalization > int64 2022-04-13 05:22:21 normalization > ) as authorAt, 2022-04-13 05:22:21 normalization > cast(campaign as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as campaign, 2022-04-13 05:22:21 normalization > cast(folderId as 2022-04-13 05:22:21 normalization > int64 2022-04-13 05:22:21 normalization > ) as folderId, 2022-04-13 05:22:21 normalization > cast(fromName as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as fromName, 2022-04-13 05:22:21 normalization > cast(portalId as 2022-04-13 05:22:21 normalization > int64 2022-04-13 05:22:21 normalization > ) as portalId, 2022-04-13 05:22:21 normalization > cast(selected as 2022-04-13 05:22:21 normalization > int64 2022-04-13 05:22:21 normalization > ) as selected, 2022-04-13 05:22:21 normalization > cast(emailBody as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as emailBody, 2022-04-13 05:22:21 normalization > cast(emailNote as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as emailNote, 2022-04-13 05:22:21 normalization > cast(emailType as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as emailType, 2022-04-13 05:22:21 normalization > cast(htmlTitle as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as htmlTitle, 2022-04-13 05:22:21 normalization > cast(authorName as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as authorName, 2022-04-13 05:22:21 normalization > cast(categoryId as 2022-04-13 05:22:21 normalization > int64 2022-04-13 05:22:21 normalization > ) as categoryId, 2022-04-13 05:22:21 normalization > cast(clonedFrom as 2022-04-13 05:22:21 normalization > int64 2022-04-13 05:22:21 normalization > ) as clonedFrom, 2022-04-13 05:22:21 normalization > cast(createPage as boolean) as createPage, 2022-04-13 05:22:21 normalization > cast(freezeDate as 2022-04-13 05:22:21 normalization > int64 2022-04-13 05:22:21 normalization > ) as freezeDate, 2022-04-13 05:22:21 normalization > cast(leadFlowId as 2022-04-13 05:22:21 normalization > int64 2022-04-13 05:22:21 normalization > ) as leadFlowId, 2022-04-13 05:22:21 normalization > cast(liveDomain as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as liveDomain, 2022-04-13 05:22:21 normalization > cast(previewKey as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as previewKey, 2022-04-13 05:22:21 normalization > cast(abVariation as boolean) as abVariation, 2022-04-13 05:22:21 normalization > cast(absoluteUrl as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as absoluteUrl, 2022-04-13 05:22:21 normalization > cast(createdById as 2022-04-13 05:22:21 normalization > int64 2022-04-13 05:22:21 normalization > ) as createdById, 2022-04-13 05:22:21 normalization > cast(isPublished as boolean) as isPublished, 2022-04-13 05:22:21 normalization > cast(publishDate as 2022-04-13 05:22:21 normalization > int64 2022-04-13 05:22:21 normalization > ) as publishDate, 2022-04-13 05:22:21 normalization > cast(subcategory as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as subcategory, 2022-04-13 05:22:21 normalization > cast(updatedById as 2022-04-13 05:22:21 normalization > int64 2022-04-13 05:22:21 normalization > ) as updatedById, 2022-04-13 05:22:21 normalization > cast(authorUserId as 2022-04-13 05:22:21 normalization > int64 2022-04-13 05:22:21 normalization > ) as authorUserId, 2022-04-13 05:22:21 normalization > cast(campaignName as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as campaignName, 2022-04-13 05:22:21 normalization > cast(currentState as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as currentState, 2022-04-13 05:22:21 normalization > cast(publishedUrl as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as publishedUrl, 2022-04-13 05:22:21 normalization > cast(subscription as 2022-04-13 05:22:21 normalization > int64 2022-04-13 05:22:21 normalization > ) as subscription, 2022-04-13 05:22:21 normalization > cast(templatePath as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as templatePath, 2022-04-13 05:22:21 normalization > vidsExcluded, 2022-04-13 05:22:21 normalization > vidsIncluded, 2022-04-13 05:22:21 normalization > cast(abHoursToWait as 2022-04-13 05:22:21 normalization > int64 2022-04-13 05:22:21 normalization > ) as abHoursToWait, 2022-04-13 05:22:21 normalization > cast(blogEmailType as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as blogEmailType, 2022-04-13 05:22:21 normalization > cast(customReplyTo as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as customReplyTo, 2022-04-13 05:22:21 normalization > cast(maxRssEntries as 2022-04-13 05:22:21 normalization > int64 2022-04-13 05:22:21 normalization > ) as maxRssEntries, 2022-04-13 05:22:21 normalization > cast(publishedById as 2022-04-13 05:22:21 normalization > int64 2022-04-13 05:22:21 normalization > ) as publishedById, 2022-04-13 05:22:21 normalization > cast(transactional as boolean) as transactional, 2022-04-13 05:22:21 normalization > cast(unpublishedAt as 2022-04-13 05:22:21 normalization > int64 2022-04-13 05:22:21 normalization > ) as unpublishedAt, 2022-04-13 05:22:21 normalization > cast(pageRedirected as boolean) as pageRedirected, 2022-04-13 05:22:21 normalization > cast(resolvedDomain as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as resolvedDomain, 2022-04-13 05:22:21 normalization > cast(abSuccessMetric as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as abSuccessMetric, 2022-04-13 05:22:21 normalization > cast(analyticsPageId as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as analyticsPageId, 2022-04-13 05:22:21 normalization > cast(metaDescription as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as metaDescription, 2022-04-13 05:22:21 normalization > cast(publishedByName as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as publishedByName, 2022-04-13 05:22:21 normalization > cast(abTestPercentage as 2022-04-13 05:22:21 normalization > int64 2022-04-13 05:22:21 normalization > ) as abTestPercentage, 2022-04-13 05:22:21 normalization > cast(feedbackSurveyId as 2022-04-13 05:22:21 normalization > int64 2022-04-13 05:22:21 normalization > ) as feedbackSurveyId, 2022-04-13 05:22:21 normalization > cast(processingStatus as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as processingStatus, 2022-04-13 05:22:21 normalization > cast(smartEmailFields as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as smartEmailFields, 2022-04-13 05:22:21 normalization > cast(subscriptionName as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as subscriptionName, 2022-04-13 05:22:21 normalization > cast(abSamplingDefault as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as abSamplingDefault, 2022-04-13 05:22:21 normalization > cast(analyticsPageType as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as analyticsPageType, 2022-04-13 05:22:21 normalization > cast(canSpamSettingsId as 2022-04-13 05:22:21 normalization > int64 2022-04-13 05:22:21 normalization > ) as canSpamSettingsId, 2022-04-13 05:22:21 normalization > cast(emailTemplateMode as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as emailTemplateMode, 2022-04-13 05:22:21 normalization > cast(pageExpiryEnabled as boolean) as pageExpiryEnabled, 2022-04-13 05:22:21 normalization > cast(currentlyPublished as boolean) as currentlyPublished, 2022-04-13 05:22:21 normalization > cast(emailbodyPlaintext as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as emailbodyPlaintext, 2022-04-13 05:22:21 normalization > cast(publishImmediately as boolean) as publishImmediately, 2022-04-13 05:22:21 normalization > cast(abSampleSizeDefault as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as abSampleSizeDefault, 2022-04-13 05:22:21 normalization > allEmailCampaignIds, 2022-04-13 05:22:21 normalization > cast(contentTypeCategory as 2022-04-13 05:22:21 normalization > int64 2022-04-13 05:22:21 normalization > ) as contentTypeCategory, 2022-04-13 05:22:21 normalization > cast(isLocalTimezoneSend as boolean) as isLocalTimezoneSend, 2022-04-13 05:22:21 normalization > cast(customReplyToEnabled as boolean) as customReplyToEnabled, 2022-04-13 05:22:21 normalization > mailingListsExcluded, 2022-04-13 05:22:21 normalization > mailingListsIncluded, 2022-04-13 05:22:21 normalization > cast(feedbackEmailCategory as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as feedbackEmailCategory, 2022-04-13 05:22:21 normalization > cast(primaryEmailCampaignId as 2022-04-13 05:22:21 normalization > int64 2022-04-13 05:22:21 normalization > ) as primaryEmailCampaignId, 2022-04-13 05:22:21 normalization > cast(useRssHeadlineAsSubject as boolean) as useRssHeadlineAsSubject, 2022-04-13 05:22:21 normalization > cast(isGraymailSuppressionEnabled as boolean) as isGraymailSuppressionEnabled, 2022-04-13 05:22:21 normalization > cast(isRecipientFatigueSuppressionEnabled as boolean) as isRecipientFatigueSuppressionEnabled, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:21 normalization > from __dbt__cte__marketing_emails_ab1 2022-04-13 05:22:21 normalization > -- marketing_emails 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > ), __dbt__cte__marketing_emails_ab3 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to build a hash column based on the values of this record 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__marketing_emails_ab2 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > to_hex(md5(cast(concat(coalesce(cast(ab as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(url as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(name as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(slug as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(state as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(stats as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(domain as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(created as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(replyTo as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(subject as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(updated as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(abStatus as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(archived as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(authorAt as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(campaign as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(folderId as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(fromName as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(portalId as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(selected as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(emailBody as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(emailNote as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(emailType as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(htmlTitle as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(authorName as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(categoryId as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(clonedFrom as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(createPage as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(freezeDate as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(leadFlowId as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(liveDomain as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(previewKey as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(abVariation as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(absoluteUrl as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(createdById as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(isPublished as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(publishDate as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(subcategory as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(updatedById as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(authorUserId as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(campaignName as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(currentState as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(publishedUrl as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(subscription as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(templatePath as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(array_to_string(vidsExcluded, "|", "") as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(array_to_string(vidsIncluded, "|", "") as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(abHoursToWait as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(blogEmailType as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(customReplyTo as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(maxRssEntries as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(publishedById as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(transactional as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(unpublishedAt as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(pageRedirected as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(resolvedDomain as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(abSuccessMetric as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(analyticsPageId as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(metaDescription as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(publishedByName as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(abTestPercentage as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(feedbackSurveyId as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(processingStatus as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(smartEmailFields as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(subscriptionName as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(abSamplingDefault as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(analyticsPageType as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(canSpamSettingsId as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(emailTemplateMode as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(pageExpiryEnabled as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(currentlyPublished as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(emailbodyPlaintext as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(publishImmediately as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(abSampleSizeDefault as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(array_to_string(allEmailCampaignIds, "|", "") as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(contentTypeCategory as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(isLocalTimezoneSend as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(customReplyToEnabled as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(array_to_string(mailingListsExcluded, "|", "") as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(array_to_string(mailingListsIncluded, "|", "") as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(feedbackEmailCategory as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(primaryEmailCampaignId as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(useRssHeadlineAsSubject as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(isGraymailSuppressionEnabled as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(isRecipientFatigueSuppressionEnabled as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), '')) as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ))) as _airbyte_marketing_emails_hashid, 2022-04-13 05:22:21 normalization > tmp.* 2022-04-13 05:22:21 normalization > from __dbt__cte__marketing_emails_ab2 tmp 2022-04-13 05:22:21 normalization > -- marketing_emails 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > )-- Final base SQL model 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__marketing_emails_ab3 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > ab, 2022-04-13 05:22:21 normalization > id, 2022-04-13 05:22:21 normalization > url, 2022-04-13 05:22:21 normalization > name, 2022-04-13 05:22:21 normalization > slug, 2022-04-13 05:22:21 normalization > state, 2022-04-13 05:22:21 normalization > stats, 2022-04-13 05:22:21 normalization > domain, 2022-04-13 05:22:21 normalization > created, 2022-04-13 05:22:21 normalization > replyTo, 2022-04-13 05:22:21 normalization > subject, 2022-04-13 05:22:21 normalization > updated, 2022-04-13 05:22:21 normalization > abStatus, 2022-04-13 05:22:21 normalization > archived, 2022-04-13 05:22:21 normalization > authorAt, 2022-04-13 05:22:21 normalization > campaign, 2022-04-13 05:22:21 normalization > folderId, 2022-04-13 05:22:21 normalization > fromName, 2022-04-13 05:22:21 normalization > portalId, 2022-04-13 05:22:21 normalization > selected, 2022-04-13 05:22:21 normalization > emailBody, 2022-04-13 05:22:21 normalization > emailNote, 2022-04-13 05:22:21 normalization > emailType, 2022-04-13 05:22:21 normalization > htmlTitle, 2022-04-13 05:22:21 normalization > authorName, 2022-04-13 05:22:21 normalization > categoryId, 2022-04-13 05:22:21 normalization > clonedFrom, 2022-04-13 05:22:21 normalization > createPage, 2022-04-13 05:22:21 normalization > freezeDate, 2022-04-13 05:22:21 normalization > leadFlowId, 2022-04-13 05:22:21 normalization > liveDomain, 2022-04-13 05:22:21 normalization > previewKey, 2022-04-13 05:22:21 normalization > abVariation, 2022-04-13 05:22:21 normalization > absoluteUrl, 2022-04-13 05:22:21 normalization > createdById, 2022-04-13 05:22:21 normalization > isPublished, 2022-04-13 05:22:21 normalization > publishDate, 2022-04-13 05:22:21 normalization > subcategory, 2022-04-13 05:22:21 normalization > updatedById, 2022-04-13 05:22:21 normalization > authorUserId, 2022-04-13 05:22:21 normalization > campaignName, 2022-04-13 05:22:21 normalization > currentState, 2022-04-13 05:22:21 normalization > publishedUrl, 2022-04-13 05:22:21 normalization > subscription, 2022-04-13 05:22:21 normalization > templatePath, 2022-04-13 05:22:21 normalization > vidsExcluded, 2022-04-13 05:22:21 normalization > vidsIncluded, 2022-04-13 05:22:21 normalization > abHoursToWait, 2022-04-13 05:22:21 normalization > blogEmailType, 2022-04-13 05:22:21 normalization > customReplyTo, 2022-04-13 05:22:21 normalization > maxRssEntries, 2022-04-13 05:22:21 normalization > publishedById, 2022-04-13 05:22:21 normalization > transactional, 2022-04-13 05:22:21 normalization > unpublishedAt, 2022-04-13 05:22:21 normalization > pageRedirected, 2022-04-13 05:22:21 normalization > resolvedDomain, 2022-04-13 05:22:21 normalization > abSuccessMetric, 2022-04-13 05:22:21 normalization > analyticsPageId, 2022-04-13 05:22:21 normalization > metaDescription, 2022-04-13 05:22:21 normalization > publishedByName, 2022-04-13 05:22:21 normalization > abTestPercentage, 2022-04-13 05:22:21 normalization > feedbackSurveyId, 2022-04-13 05:22:21 normalization > processingStatus, 2022-04-13 05:22:21 normalization > smartEmailFields, 2022-04-13 05:22:21 normalization > subscriptionName, 2022-04-13 05:22:21 normalization > abSamplingDefault, 2022-04-13 05:22:21 normalization > analyticsPageType, 2022-04-13 05:22:21 normalization > canSpamSettingsId, 2022-04-13 05:22:21 normalization > emailTemplateMode, 2022-04-13 05:22:21 normalization > pageExpiryEnabled, 2022-04-13 05:22:21 normalization > currentlyPublished, 2022-04-13 05:22:21 normalization > emailbodyPlaintext, 2022-04-13 05:22:21 normalization > publishImmediately, 2022-04-13 05:22:21 normalization > abSampleSizeDefault, 2022-04-13 05:22:21 normalization > allEmailCampaignIds, 2022-04-13 05:22:21 normalization > contentTypeCategory, 2022-04-13 05:22:21 normalization > isLocalTimezoneSend, 2022-04-13 05:22:21 normalization > customReplyToEnabled, 2022-04-13 05:22:21 normalization > mailingListsExcluded, 2022-04-13 05:22:21 normalization > mailingListsIncluded, 2022-04-13 05:22:21 normalization > feedbackEmailCategory, 2022-04-13 05:22:21 normalization > primaryEmailCampaignId, 2022-04-13 05:22:21 normalization > useRssHeadlineAsSubject, 2022-04-13 05:22:21 normalization > isGraymailSuppressionEnabled, 2022-04-13 05:22:21 normalization > isRecipientFatigueSuppressionEnabled, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at, 2022-04-13 05:22:21 normalization > _airbyte_marketing_emails_hashid 2022-04-13 05:22:21 normalization > from __dbt__cte__marketing_emails_ab3 2022-04-13 05:22:21 normalization > -- marketing_emails from `mansagroup-datascience`.hubspot_._airbyte_raw_marketing_emails 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > ); 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 05:03:26.103958 [debug] [Thread-5 ]: 2022-04-13 05:22:21 normalization > In `mansagroup-datascience`.`hubspot_`.`engagements_calls`: 2022-04-13 05:22:21 normalization > Schema changed: False 2022-04-13 05:22:21 normalization > Source columns not in target: [] 2022-04-13 05:22:21 normalization > Target columns not in source: [] 2022-04-13 05:22:21 normalization > New column types: [] 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 05:03:26.105120 [debug] [Thread-5 ]: Writing runtime SQL for node "model.airbyte_utils.engagements_calls" 2022-04-13 05:22:21 normalization > 05:03:26.105506 [debug] [Thread-5 ]: On model.airbyte_utils.engagements_calls: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.engagements_calls"} */ 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > merge into `mansagroup-datascience`.hubspot_.`engagements_calls` as DBT_INTERNAL_DEST 2022-04-13 05:22:21 normalization > using ( 2022-04-13 05:22:21 normalization > select * from `mansagroup-datascience`.hubspot_.`engagements_calls__dbt_tmp` 2022-04-13 05:22:21 normalization > ) as DBT_INTERNAL_SOURCE 2022-04-13 05:22:21 normalization > on 2022-04-13 05:22:21 normalization > DBT_INTERNAL_SOURCE._airbyte_ab_id = DBT_INTERNAL_DEST._airbyte_ab_id 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > when matched then update set 2022-04-13 05:22:21 normalization > `id` = DBT_INTERNAL_SOURCE.`id`,`deals` = DBT_INTERNAL_SOURCE.`deals`,`tickets` = DBT_INTERNAL_SOURCE.`tickets`,`archived` = DBT_INTERNAL_SOURCE.`archived`,`contacts` = DBT_INTERNAL_SOURCE.`contacts`,`companies` = DBT_INTERNAL_SOURCE.`companies`,`createdAt` = DBT_INTERNAL_SOURCE.`createdAt`,`updatedAt` = DBT_INTERNAL_SOURCE.`updatedAt`,`properties` = DBT_INTERNAL_SOURCE.`properties`,`_airbyte_ab_id` = DBT_INTERNAL_SOURCE.`_airbyte_ab_id`,`_airbyte_emitted_at` = DBT_INTERNAL_SOURCE.`_airbyte_emitted_at`,`_airbyte_normalized_at` = DBT_INTERNAL_SOURCE.`_airbyte_normalized_at`,`_airbyte_engagements_calls_hashid` = DBT_INTERNAL_SOURCE.`_airbyte_engagements_calls_hashid` 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > when not matched then insert 2022-04-13 05:22:21 normalization > (`id`, `deals`, `tickets`, `archived`, `contacts`, `companies`, `createdAt`, `updatedAt`, `properties`, `_airbyte_ab_id`, `_airbyte_emitted_at`, `_airbyte_normalized_at`, `_airbyte_engagements_calls_hashid`) 2022-04-13 05:22:21 normalization > values 2022-04-13 05:22:21 normalization > (`id`, `deals`, `tickets`, `archived`, `contacts`, `companies`, `createdAt`, `updatedAt`, `properties`, `_airbyte_ab_id`, `_airbyte_emitted_at`, `_airbyte_normalized_at`, `_airbyte_engagements_calls_hashid`) 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 05:03:26.708456 [debug] [Thread-8 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:26.708949 [debug] [Thread-8 ]: Database Error in model ticket_pipelines (models/generated/airbyte_tables/hubspot_/ticket_pipelines.sql) 2022-04-13 05:22:21 normalization > Bad int64 value: 1970-01-01T00:00:00Z 2022-04-13 05:22:21 normalization > compiled SQL at ../build/run/airbyte_utils/models/generated/airbyte_tables/hubspot_/ticket_pipelines.sql 2022-04-13 05:22:21 normalization > 05:03:26.709385 [error] [Thread-8 ]: 14 of 77 ERROR creating table model hubspot_.ticket_pipelines........................................................... [ERROR in 5.03s] 2022-04-13 05:22:21 normalization > 05:03:26.709815 [debug] [Thread-8 ]: Finished running node model.airbyte_utils.ticket_pipelines 2022-04-13 05:22:21 normalization > 05:03:26.710044 [debug] [Thread-8 ]: Began running node model.airbyte_utils.contact_lists 2022-04-13 05:22:21 normalization > 05:03:26.710331 [info ] [Thread-8 ]: 17 of 77 START incremental model hubspot_.contact_lists................................................................. [RUN] 2022-04-13 05:22:21 normalization > 05:03:26.711350 [debug] [Thread-8 ]: Acquiring new bigquery connection "model.airbyte_utils.contact_lists" 2022-04-13 05:22:21 normalization > 05:03:26.711581 [debug] [Thread-8 ]: Began compiling node model.airbyte_utils.contact_lists 2022-04-13 05:22:21 normalization > 05:03:26.711748 [debug] [Thread-8 ]: Compiling model.airbyte_utils.contact_lists 2022-04-13 05:22:21 normalization > 05:03:26.719492 [debug] [Thread-8 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:26.830804 [debug] [Thread-8 ]: Writing injected SQL for node "model.airbyte_utils.contact_lists" 2022-04-13 05:22:21 normalization > 05:03:26.831236 [debug] [Thread-8 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:26.831438 [debug] [Thread-8 ]: Began executing node model.airbyte_utils.contact_lists 2022-04-13 05:22:21 normalization > 05:03:26.899283 [debug] [Thread-8 ]: On model.airbyte_utils.contact_lists: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.contact_lists"} */ 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > create or replace table `mansagroup-datascience`.hubspot_.`contact_lists__dbt_tmp` 2022-04-13 05:22:21 normalization > partition by timestamp_trunc(_airbyte_emitted_at, day) 2022-04-13 05:22:21 normalization > cluster by _airbyte_emitted_at 2022-04-13 05:22:21 normalization > OPTIONS( 2022-04-13 05:22:21 normalization > expiration_timestamp=TIMESTAMP_ADD(CURRENT_TIMESTAMP(), INTERVAL 12 hour) 2022-04-13 05:22:21 normalization > ) 2022-04-13 05:22:21 normalization > as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > with __dbt__cte__contact_lists_ab1 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema 2022-04-13 05:22:21 normalization > -- depends_on: `mansagroup-datascience`.hubspot_._airbyte_raw_contact_lists 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['name']") as name, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['listId']") as listId, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['dynamic']") as dynamic, 2022-04-13 05:22:21 normalization > json_extract_array(_airbyte_data, "$['filters']") as filters, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['archived']") as archived, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['listType']") as listType, 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > json_extract(table_alias._airbyte_data, "$['metaData']") 2022-04-13 05:22:21 normalization > as metaData, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['parentId']") as parentId, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['portalId']") as portalId, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['readOnly']") as readOnly, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['createdAt']") as createdAt, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['updatedAt']") as updatedAt, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['deleteable']") as deleteable, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['internalListId']") as internalListId, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:21 normalization > from `mansagroup-datascience`.hubspot_._airbyte_raw_contact_lists as table_alias 2022-04-13 05:22:21 normalization > -- contact_lists 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > ), __dbt__cte__contact_lists_ab2 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__contact_lists_ab1 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > cast(name as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as name, 2022-04-13 05:22:21 normalization > cast(listId as 2022-04-13 05:22:21 normalization > int64 2022-04-13 05:22:21 normalization > ) as listId, 2022-04-13 05:22:21 normalization > cast(dynamic as boolean) as dynamic, 2022-04-13 05:22:21 normalization > filters, 2022-04-13 05:22:21 normalization > cast(archived as boolean) as archived, 2022-04-13 05:22:21 normalization > cast(listType as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as listType, 2022-04-13 05:22:21 normalization > cast(metaData as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as metaData, 2022-04-13 05:22:21 normalization > cast(parentId as 2022-04-13 05:22:21 normalization > int64 2022-04-13 05:22:21 normalization > ) as parentId, 2022-04-13 05:22:21 normalization > cast(portalId as 2022-04-13 05:22:21 normalization > int64 2022-04-13 05:22:21 normalization > ) as portalId, 2022-04-13 05:22:21 normalization > cast(readOnly as boolean) as readOnly, 2022-04-13 05:22:21 normalization > cast(createdAt as 2022-04-13 05:22:21 normalization > int64 2022-04-13 05:22:21 normalization > ) as createdAt, 2022-04-13 05:22:21 normalization > cast(updatedAt as 2022-04-13 05:22:21 normalization > int64 2022-04-13 05:22:21 normalization > ) as updatedAt, 2022-04-13 05:22:21 normalization > cast(deleteable as boolean) as deleteable, 2022-04-13 05:22:21 normalization > cast(internalListId as 2022-04-13 05:22:21 normalization > int64 2022-04-13 05:22:21 normalization > ) as internalListId, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:21 normalization > from __dbt__cte__contact_lists_ab1 2022-04-13 05:22:21 normalization > -- contact_lists 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > ), __dbt__cte__contact_lists_ab3 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to build a hash column based on the values of this record 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__contact_lists_ab2 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > to_hex(md5(cast(concat(coalesce(cast(name as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(listId as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(dynamic as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(array_to_string(filters, "|", "") as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(archived as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(listType as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(metaData as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(parentId as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(portalId as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(readOnly as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(createdAt as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(updatedAt as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(deleteable as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(internalListId as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), '')) as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ))) as _airbyte_contact_lists_hashid, 2022-04-13 05:22:21 normalization > tmp.* 2022-04-13 05:22:21 normalization > from __dbt__cte__contact_lists_ab2 tmp 2022-04-13 05:22:21 normalization > -- contact_lists 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > )-- Final base SQL model 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__contact_lists_ab3 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > name, 2022-04-13 05:22:21 normalization > listId, 2022-04-13 05:22:21 normalization > dynamic, 2022-04-13 05:22:21 normalization > filters, 2022-04-13 05:22:21 normalization > archived, 2022-04-13 05:22:21 normalization > listType, 2022-04-13 05:22:21 normalization > metaData, 2022-04-13 05:22:21 normalization > parentId, 2022-04-13 05:22:21 normalization > portalId, 2022-04-13 05:22:21 normalization > readOnly, 2022-04-13 05:22:21 normalization > createdAt, 2022-04-13 05:22:21 normalization > updatedAt, 2022-04-13 05:22:21 normalization > deleteable, 2022-04-13 05:22:21 normalization > internalListId, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at, 2022-04-13 05:22:21 normalization > _airbyte_contact_lists_hashid 2022-04-13 05:22:21 normalization > from __dbt__cte__contact_lists_ab3 2022-04-13 05:22:21 normalization > -- contact_lists from `mansagroup-datascience`.hubspot_._airbyte_raw_contact_lists 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > and coalesce( 2022-04-13 05:22:21 normalization > cast(_airbyte_emitted_at as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) >= (select max(cast(_airbyte_emitted_at as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > )) from `mansagroup-datascience`.hubspot_.`contact_lists`), 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > true) 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > ); 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 05:03:27.633905 [debug] [Thread-4 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:27.634563 [info ] [Thread-4 ]: 16 of 77 OK created table model hubspot_.marketing_emails............................................................... [CREATE TABLE (49.0 rows, 282.5 KB processed) in 2.37s] 2022-04-13 05:22:21 normalization > 05:03:27.634994 [debug] [Thread-4 ]: Finished running node model.airbyte_utils.marketing_emails 2022-04-13 05:22:21 normalization > 05:03:27.635207 [debug] [Thread-4 ]: Began running node model.airbyte_utils.engagements_meetings 2022-04-13 05:22:21 normalization > 05:03:27.635730 [info ] [Thread-4 ]: 18 of 77 START incremental model hubspot_.engagements_meetings.......................................................... [RUN] 2022-04-13 05:22:21 normalization > 05:03:27.636401 [debug] [Thread-4 ]: Acquiring new bigquery connection "model.airbyte_utils.engagements_meetings" 2022-04-13 05:22:21 normalization > 05:03:27.636582 [debug] [Thread-4 ]: Began compiling node model.airbyte_utils.engagements_meetings 2022-04-13 05:22:21 normalization > 05:03:27.636741 [debug] [Thread-4 ]: Compiling model.airbyte_utils.engagements_meetings 2022-04-13 05:22:21 normalization > 05:03:27.644315 [debug] [Thread-4 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:27.753631 [debug] [Thread-4 ]: Writing injected SQL for node "model.airbyte_utils.engagements_meetings" 2022-04-13 05:22:21 normalization > 05:03:27.754015 [debug] [Thread-4 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:27.754224 [debug] [Thread-4 ]: Began executing node model.airbyte_utils.engagements_meetings 2022-04-13 05:22:21 normalization > 05:03:27.830381 [debug] [Thread-4 ]: On model.airbyte_utils.engagements_meetings: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.engagements_meetings"} */ 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > create or replace table `mansagroup-datascience`.hubspot_.`engagements_meetings__dbt_tmp` 2022-04-13 05:22:21 normalization > partition by timestamp_trunc(_airbyte_emitted_at, day) 2022-04-13 05:22:21 normalization > cluster by _airbyte_emitted_at 2022-04-13 05:22:21 normalization > OPTIONS( 2022-04-13 05:22:21 normalization > expiration_timestamp=TIMESTAMP_ADD(CURRENT_TIMESTAMP(), INTERVAL 12 hour) 2022-04-13 05:22:21 normalization > ) 2022-04-13 05:22:21 normalization > as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > with __dbt__cte__engagements_meetings_ab1 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema 2022-04-13 05:22:21 normalization > -- depends_on: `mansagroup-datascience`.hubspot_._airbyte_raw_engagements_meetings 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['id']") as id, 2022-04-13 05:22:21 normalization > json_extract_array(_airbyte_data, "$['deals']") as deals, 2022-04-13 05:22:21 normalization > json_extract_array(_airbyte_data, "$['tickets']") as tickets, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['archived']") as archived, 2022-04-13 05:22:21 normalization > json_extract_array(_airbyte_data, "$['contacts']") as contacts, 2022-04-13 05:22:21 normalization > json_extract_array(_airbyte_data, "$['companies']") as companies, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['createdAt']") as createdAt, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['updatedAt']") as updatedAt, 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > json_extract(table_alias._airbyte_data, "$['properties']") 2022-04-13 05:22:21 normalization > as properties, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:21 normalization > from `mansagroup-datascience`.hubspot_._airbyte_raw_engagements_meetings as table_alias 2022-04-13 05:22:21 normalization > -- engagements_meetings 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > ), __dbt__cte__engagements_meetings_ab2 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__engagements_meetings_ab1 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > cast(id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as id, 2022-04-13 05:22:21 normalization > deals, 2022-04-13 05:22:21 normalization > tickets, 2022-04-13 05:22:21 normalization > cast(archived as boolean) as archived, 2022-04-13 05:22:21 normalization > contacts, 2022-04-13 05:22:21 normalization > companies, 2022-04-13 05:22:21 normalization > cast(nullif(createdAt, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as createdAt, 2022-04-13 05:22:21 normalization > cast(nullif(updatedAt, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as updatedAt, 2022-04-13 05:22:21 normalization > cast(properties as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as properties, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:21 normalization > from __dbt__cte__engagements_meetings_ab1 2022-04-13 05:22:21 normalization > -- engagements_meetings 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > ), __dbt__cte__engagements_meetings_ab3 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to build a hash column based on the values of this record 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__engagements_meetings_ab2 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > to_hex(md5(cast(concat(coalesce(cast(id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(array_to_string(deals, "|", "") as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(array_to_string(tickets, "|", "") as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(archived as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(array_to_string(contacts, "|", "") as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(array_to_string(companies, "|", "") as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(createdAt as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(updatedAt as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(properties as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), '')) as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ))) as _airbyte_engagements_meetings_hashid, 2022-04-13 05:22:21 normalization > tmp.* 2022-04-13 05:22:21 normalization > from __dbt__cte__engagements_meetings_ab2 tmp 2022-04-13 05:22:21 normalization > -- engagements_meetings 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > )-- Final base SQL model 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__engagements_meetings_ab3 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > id, 2022-04-13 05:22:21 normalization > deals, 2022-04-13 05:22:21 normalization > tickets, 2022-04-13 05:22:21 normalization > archived, 2022-04-13 05:22:21 normalization > contacts, 2022-04-13 05:22:21 normalization > companies, 2022-04-13 05:22:21 normalization > createdAt, 2022-04-13 05:22:21 normalization > updatedAt, 2022-04-13 05:22:21 normalization > properties, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at, 2022-04-13 05:22:21 normalization > _airbyte_engagements_meetings_hashid 2022-04-13 05:22:21 normalization > from __dbt__cte__engagements_meetings_ab3 2022-04-13 05:22:21 normalization > -- engagements_meetings from `mansagroup-datascience`.hubspot_._airbyte_raw_engagements_meetings 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > and coalesce( 2022-04-13 05:22:21 normalization > cast(_airbyte_emitted_at as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) >= (select max(cast(_airbyte_emitted_at as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > )) from `mansagroup-datascience`.hubspot_.`engagements_meetings`), 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > true) 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > ); 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 05:03:28.528906 [debug] [Thread-2 ]: 2022-04-13 05:22:21 normalization > In `mansagroup-datascience`.`hubspot_`.`contacts`: 2022-04-13 05:22:21 normalization > Schema changed: False 2022-04-13 05:22:21 normalization > Source columns not in target: [] 2022-04-13 05:22:21 normalization > Target columns not in source: [] 2022-04-13 05:22:21 normalization > New column types: [] 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 05:03:28.552366 [debug] [Thread-2 ]: Writing runtime SQL for node "model.airbyte_utils.contacts" 2022-04-13 05:22:21 normalization > 05:03:28.552775 [debug] [Thread-2 ]: On model.airbyte_utils.contacts: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.contacts"} */ 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > merge into `mansagroup-datascience`.hubspot_.`contacts` as DBT_INTERNAL_DEST 2022-04-13 05:22:21 normalization > using ( 2022-04-13 05:22:21 normalization > select * from `mansagroup-datascience`.hubspot_.`contacts__dbt_tmp` 2022-04-13 05:22:21 normalization > ) as DBT_INTERNAL_SOURCE 2022-04-13 05:22:21 normalization > on 2022-04-13 05:22:21 normalization > DBT_INTERNAL_SOURCE._airbyte_ab_id = DBT_INTERNAL_DEST._airbyte_ab_id 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > when matched then update set 2022-04-13 05:22:21 normalization > `id` = DBT_INTERNAL_SOURCE.`id`,`archived` = DBT_INTERNAL_SOURCE.`archived`,`companies` = DBT_INTERNAL_SOURCE.`companies`,`createdAt` = DBT_INTERNAL_SOURCE.`createdAt`,`updatedAt` = DBT_INTERNAL_SOURCE.`updatedAt`,`properties` = DBT_INTERNAL_SOURCE.`properties`,`_airbyte_ab_id` = DBT_INTERNAL_SOURCE.`_airbyte_ab_id`,`_airbyte_emitted_at` = DBT_INTERNAL_SOURCE.`_airbyte_emitted_at`,`_airbyte_normalized_at` = DBT_INTERNAL_SOURCE.`_airbyte_normalized_at`,`_airbyte_contacts_hashid` = DBT_INTERNAL_SOURCE.`_airbyte_contacts_hashid` 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > when not matched then insert 2022-04-13 05:22:21 normalization > (`id`, `archived`, `companies`, `createdAt`, `updatedAt`, `properties`, `_airbyte_ab_id`, `_airbyte_emitted_at`, `_airbyte_normalized_at`, `_airbyte_contacts_hashid`) 2022-04-13 05:22:21 normalization > values 2022-04-13 05:22:21 normalization > (`id`, `archived`, `companies`, `createdAt`, `updatedAt`, `properties`, `_airbyte_ab_id`, `_airbyte_emitted_at`, `_airbyte_normalized_at`, `_airbyte_contacts_hashid`) 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 05:03:29.338441 [debug] [Thread-8 ]: 2022-04-13 05:22:21 normalization > In `mansagroup-datascience`.`hubspot_`.`contact_lists`: 2022-04-13 05:22:21 normalization > Schema changed: False 2022-04-13 05:22:21 normalization > Source columns not in target: [] 2022-04-13 05:22:21 normalization > Target columns not in source: [] 2022-04-13 05:22:21 normalization > New column types: [] 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 05:03:29.339716 [debug] [Thread-8 ]: Writing runtime SQL for node "model.airbyte_utils.contact_lists" 2022-04-13 05:22:21 normalization > 05:03:29.340089 [debug] [Thread-8 ]: On model.airbyte_utils.contact_lists: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.contact_lists"} */ 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > merge into `mansagroup-datascience`.hubspot_.`contact_lists` as DBT_INTERNAL_DEST 2022-04-13 05:22:21 normalization > using ( 2022-04-13 05:22:21 normalization > select * from `mansagroup-datascience`.hubspot_.`contact_lists__dbt_tmp` 2022-04-13 05:22:21 normalization > ) as DBT_INTERNAL_SOURCE 2022-04-13 05:22:21 normalization > on 2022-04-13 05:22:21 normalization > DBT_INTERNAL_SOURCE._airbyte_ab_id = DBT_INTERNAL_DEST._airbyte_ab_id 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > when matched then update set 2022-04-13 05:22:21 normalization > `name` = DBT_INTERNAL_SOURCE.`name`,`listId` = DBT_INTERNAL_SOURCE.`listId`,`dynamic` = DBT_INTERNAL_SOURCE.`dynamic`,`filters` = DBT_INTERNAL_SOURCE.`filters`,`archived` = DBT_INTERNAL_SOURCE.`archived`,`listType` = DBT_INTERNAL_SOURCE.`listType`,`metaData` = DBT_INTERNAL_SOURCE.`metaData`,`parentId` = DBT_INTERNAL_SOURCE.`parentId`,`portalId` = DBT_INTERNAL_SOURCE.`portalId`,`readOnly` = DBT_INTERNAL_SOURCE.`readOnly`,`createdAt` = DBT_INTERNAL_SOURCE.`createdAt`,`updatedAt` = DBT_INTERNAL_SOURCE.`updatedAt`,`deleteable` = DBT_INTERNAL_SOURCE.`deleteable`,`internalListId` = DBT_INTERNAL_SOURCE.`internalListId`,`_airbyte_ab_id` = DBT_INTERNAL_SOURCE.`_airbyte_ab_id`,`_airbyte_emitted_at` = DBT_INTERNAL_SOURCE.`_airbyte_emitted_at`,`_airbyte_normalized_at` = DBT_INTERNAL_SOURCE.`_airbyte_normalized_at`,`_airbyte_contact_lists_hashid` = DBT_INTERNAL_SOURCE.`_airbyte_contact_lists_hashid` 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > when not matched then insert 2022-04-13 05:22:21 normalization > (`name`, `listId`, `dynamic`, `filters`, `archived`, `listType`, `metaData`, `parentId`, `portalId`, `readOnly`, `createdAt`, `updatedAt`, `deleteable`, `internalListId`, `_airbyte_ab_id`, `_airbyte_emitted_at`, `_airbyte_normalized_at`, `_airbyte_contact_lists_hashid`) 2022-04-13 05:22:21 normalization > values 2022-04-13 05:22:21 normalization > (`name`, `listId`, `dynamic`, `filters`, `archived`, `listType`, `metaData`, `parentId`, `portalId`, `readOnly`, `createdAt`, `updatedAt`, `deleteable`, `internalListId`, `_airbyte_ab_id`, `_airbyte_emitted_at`, `_airbyte_normalized_at`, `_airbyte_contact_lists_hashid`) 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 05:03:29.539784 [debug] [Thread-1 ]: 2022-04-13 05:22:21 normalization > In `mansagroup-datascience`.`hubspot_`.`deals`: 2022-04-13 05:22:21 normalization > Schema changed: False 2022-04-13 05:22:21 normalization > Source columns not in target: [] 2022-04-13 05:22:21 normalization > Target columns not in source: [] 2022-04-13 05:22:21 normalization > New column types: [] 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 05:03:29.540900 [debug] [Thread-1 ]: Writing runtime SQL for node "model.airbyte_utils.deals" 2022-04-13 05:22:21 normalization > 05:03:29.541303 [debug] [Thread-1 ]: On model.airbyte_utils.deals: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.deals"} */ 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > merge into `mansagroup-datascience`.hubspot_.`deals` as DBT_INTERNAL_DEST 2022-04-13 05:22:21 normalization > using ( 2022-04-13 05:22:21 normalization > select * from `mansagroup-datascience`.hubspot_.`deals__dbt_tmp` 2022-04-13 05:22:21 normalization > ) as DBT_INTERNAL_SOURCE 2022-04-13 05:22:21 normalization > on 2022-04-13 05:22:21 normalization > DBT_INTERNAL_SOURCE._airbyte_ab_id = DBT_INTERNAL_DEST._airbyte_ab_id 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > when matched then update set 2022-04-13 05:22:21 normalization > `id` = DBT_INTERNAL_SOURCE.`id`,`archived` = DBT_INTERNAL_SOURCE.`archived`,`contacts` = DBT_INTERNAL_SOURCE.`contacts`,`companies` = DBT_INTERNAL_SOURCE.`companies`,`createdAt` = DBT_INTERNAL_SOURCE.`createdAt`,`dealstage` = DBT_INTERNAL_SOURCE.`dealstage`,`updatedAt` = DBT_INTERNAL_SOURCE.`updatedAt`,`properties` = DBT_INTERNAL_SOURCE.`properties`,`_airbyte_ab_id` = DBT_INTERNAL_SOURCE.`_airbyte_ab_id`,`_airbyte_emitted_at` = DBT_INTERNAL_SOURCE.`_airbyte_emitted_at`,`_airbyte_normalized_at` = DBT_INTERNAL_SOURCE.`_airbyte_normalized_at`,`_airbyte_deals_hashid` = DBT_INTERNAL_SOURCE.`_airbyte_deals_hashid` 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > when not matched then insert 2022-04-13 05:22:21 normalization > (`id`, `archived`, `contacts`, `companies`, `createdAt`, `dealstage`, `updatedAt`, `properties`, `_airbyte_ab_id`, `_airbyte_emitted_at`, `_airbyte_normalized_at`, `_airbyte_deals_hashid`) 2022-04-13 05:22:21 normalization > values 2022-04-13 05:22:21 normalization > (`id`, `archived`, `contacts`, `companies`, `createdAt`, `dealstage`, `updatedAt`, `properties`, `_airbyte_ab_id`, `_airbyte_emitted_at`, `_airbyte_normalized_at`, `_airbyte_deals_hashid`) 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 05:03:32.261417 [debug] [Thread-8 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:32.262062 [info ] [Thread-8 ]: 17 of 77 OK created incremental model hubspot_.contact_lists............................................................ [MERGE (83.0 rows, 54.7 KB processed) in 5.55s] 2022-04-13 05:22:21 normalization > 05:03:32.262522 [debug] [Thread-8 ]: Finished running node model.airbyte_utils.contact_lists 2022-04-13 05:22:21 normalization > 05:03:32.262730 [debug] [Thread-8 ]: Began running node model.airbyte_utils.quotes 2022-04-13 05:22:21 normalization > 05:03:32.263275 [info ] [Thread-8 ]: 19 of 77 START incremental model hubspot_.quotes........................................................................ [RUN] 2022-04-13 05:22:21 normalization > 05:03:32.264014 [debug] [Thread-8 ]: Acquiring new bigquery connection "model.airbyte_utils.quotes" 2022-04-13 05:22:21 normalization > 05:03:32.264232 [debug] [Thread-8 ]: Began compiling node model.airbyte_utils.quotes 2022-04-13 05:22:21 normalization > 05:03:32.264400 [debug] [Thread-8 ]: Compiling model.airbyte_utils.quotes 2022-04-13 05:22:21 normalization > 05:03:32.272050 [debug] [Thread-8 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:32.401920 [debug] [Thread-8 ]: Writing injected SQL for node "model.airbyte_utils.quotes" 2022-04-13 05:22:21 normalization > 05:03:32.402299 [debug] [Thread-8 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:32.402487 [debug] [Thread-8 ]: Began executing node model.airbyte_utils.quotes 2022-04-13 05:22:21 normalization > 05:03:32.478839 [debug] [Thread-8 ]: On model.airbyte_utils.quotes: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.quotes"} */ 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > create or replace table `mansagroup-datascience`.hubspot_.`quotes__dbt_tmp` 2022-04-13 05:22:21 normalization > partition by timestamp_trunc(_airbyte_emitted_at, day) 2022-04-13 05:22:21 normalization > cluster by _airbyte_emitted_at 2022-04-13 05:22:21 normalization > OPTIONS( 2022-04-13 05:22:21 normalization > expiration_timestamp=TIMESTAMP_ADD(CURRENT_TIMESTAMP(), INTERVAL 12 hour) 2022-04-13 05:22:21 normalization > ) 2022-04-13 05:22:21 normalization > as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > with __dbt__cte__quotes_ab1 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema 2022-04-13 05:22:21 normalization > -- depends_on: `mansagroup-datascience`.hubspot_._airbyte_raw_quotes 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['id']") as id, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['archived']") as archived, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['createdAt']") as createdAt, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['updatedAt']") as updatedAt, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['archivedAt']") as archivedAt, 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > json_extract(table_alias._airbyte_data, "$['properties']") 2022-04-13 05:22:21 normalization > as properties, 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > json_extract(table_alias._airbyte_data, "$['associations']") 2022-04-13 05:22:21 normalization > as associations, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:21 normalization > from `mansagroup-datascience`.hubspot_._airbyte_raw_quotes as table_alias 2022-04-13 05:22:21 normalization > -- quotes 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > ), __dbt__cte__quotes_ab2 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__quotes_ab1 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > cast(id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as id, 2022-04-13 05:22:21 normalization > cast(archived as boolean) as archived, 2022-04-13 05:22:21 normalization > cast(nullif(createdAt, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as createdAt, 2022-04-13 05:22:21 normalization > cast(nullif(updatedAt, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as updatedAt, 2022-04-13 05:22:21 normalization > cast(nullif(archivedAt, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as archivedAt, 2022-04-13 05:22:21 normalization > cast(properties as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as properties, 2022-04-13 05:22:21 normalization > cast(associations as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as associations, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:21 normalization > from __dbt__cte__quotes_ab1 2022-04-13 05:22:21 normalization > -- quotes 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > ), __dbt__cte__quotes_ab3 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to build a hash column based on the values of this record 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__quotes_ab2 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > to_hex(md5(cast(concat(coalesce(cast(id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(archived as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(createdAt as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(updatedAt as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(archivedAt as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(properties as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(associations as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), '')) as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ))) as _airbyte_quotes_hashid, 2022-04-13 05:22:21 normalization > tmp.* 2022-04-13 05:22:21 normalization > from __dbt__cte__quotes_ab2 tmp 2022-04-13 05:22:21 normalization > -- quotes 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > )-- Final base SQL model 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__quotes_ab3 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > id, 2022-04-13 05:22:21 normalization > archived, 2022-04-13 05:22:21 normalization > createdAt, 2022-04-13 05:22:21 normalization > updatedAt, 2022-04-13 05:22:21 normalization > archivedAt, 2022-04-13 05:22:21 normalization > properties, 2022-04-13 05:22:21 normalization > associations, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at, 2022-04-13 05:22:21 normalization > _airbyte_quotes_hashid 2022-04-13 05:22:21 normalization > from __dbt__cte__quotes_ab3 2022-04-13 05:22:21 normalization > -- quotes from `mansagroup-datascience`.hubspot_._airbyte_raw_quotes 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > and coalesce( 2022-04-13 05:22:21 normalization > cast(_airbyte_emitted_at as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) >= (select max(cast(_airbyte_emitted_at as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > )) from `mansagroup-datascience`.hubspot_.`quotes`), 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > true) 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > ); 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 05:03:32.696121 [debug] [Thread-4 ]: 2022-04-13 05:22:21 normalization > In `mansagroup-datascience`.`hubspot_`.`engagements_meetings`: 2022-04-13 05:22:21 normalization > Schema changed: False 2022-04-13 05:22:21 normalization > Source columns not in target: [] 2022-04-13 05:22:21 normalization > Target columns not in source: [] 2022-04-13 05:22:21 normalization > New column types: [] 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 05:03:32.697253 [debug] [Thread-4 ]: Writing runtime SQL for node "model.airbyte_utils.engagements_meetings" 2022-04-13 05:22:21 normalization > 05:03:32.697616 [debug] [Thread-4 ]: On model.airbyte_utils.engagements_meetings: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.engagements_meetings"} */ 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > merge into `mansagroup-datascience`.hubspot_.`engagements_meetings` as DBT_INTERNAL_DEST 2022-04-13 05:22:21 normalization > using ( 2022-04-13 05:22:21 normalization > select * from `mansagroup-datascience`.hubspot_.`engagements_meetings__dbt_tmp` 2022-04-13 05:22:21 normalization > ) as DBT_INTERNAL_SOURCE 2022-04-13 05:22:21 normalization > on 2022-04-13 05:22:21 normalization > DBT_INTERNAL_SOURCE._airbyte_ab_id = DBT_INTERNAL_DEST._airbyte_ab_id 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > when matched then update set 2022-04-13 05:22:21 normalization > `id` = DBT_INTERNAL_SOURCE.`id`,`deals` = DBT_INTERNAL_SOURCE.`deals`,`tickets` = DBT_INTERNAL_SOURCE.`tickets`,`archived` = DBT_INTERNAL_SOURCE.`archived`,`contacts` = DBT_INTERNAL_SOURCE.`contacts`,`companies` = DBT_INTERNAL_SOURCE.`companies`,`createdAt` = DBT_INTERNAL_SOURCE.`createdAt`,`updatedAt` = DBT_INTERNAL_SOURCE.`updatedAt`,`properties` = DBT_INTERNAL_SOURCE.`properties`,`_airbyte_ab_id` = DBT_INTERNAL_SOURCE.`_airbyte_ab_id`,`_airbyte_emitted_at` = DBT_INTERNAL_SOURCE.`_airbyte_emitted_at`,`_airbyte_normalized_at` = DBT_INTERNAL_SOURCE.`_airbyte_normalized_at`,`_airbyte_engagements_meetings_hashid` = DBT_INTERNAL_SOURCE.`_airbyte_engagements_meetings_hashid` 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > when not matched then insert 2022-04-13 05:22:21 normalization > (`id`, `deals`, `tickets`, `archived`, `contacts`, `companies`, `createdAt`, `updatedAt`, `properties`, `_airbyte_ab_id`, `_airbyte_emitted_at`, `_airbyte_normalized_at`, `_airbyte_engagements_meetings_hashid`) 2022-04-13 05:22:21 normalization > values 2022-04-13 05:22:21 normalization > (`id`, `deals`, `tickets`, `archived`, `contacts`, `companies`, `createdAt`, `updatedAt`, `properties`, `_airbyte_ab_id`, `_airbyte_emitted_at`, `_airbyte_normalized_at`, `_airbyte_engagements_meetings_hashid`) 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 05:03:34.458565 [debug] [Thread-8 ]: 2022-04-13 05:22:21 normalization > In `mansagroup-datascience`.`hubspot_`.`quotes`: 2022-04-13 05:22:21 normalization > Schema changed: False 2022-04-13 05:22:21 normalization > Source columns not in target: [] 2022-04-13 05:22:21 normalization > Target columns not in source: [] 2022-04-13 05:22:21 normalization > New column types: [] 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 05:03:34.459672 [debug] [Thread-8 ]: Writing runtime SQL for node "model.airbyte_utils.quotes" 2022-04-13 05:22:21 normalization > 05:03:34.460044 [debug] [Thread-8 ]: On model.airbyte_utils.quotes: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.quotes"} */ 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > merge into `mansagroup-datascience`.hubspot_.`quotes` as DBT_INTERNAL_DEST 2022-04-13 05:22:21 normalization > using ( 2022-04-13 05:22:21 normalization > select * from `mansagroup-datascience`.hubspot_.`quotes__dbt_tmp` 2022-04-13 05:22:21 normalization > ) as DBT_INTERNAL_SOURCE 2022-04-13 05:22:21 normalization > on 2022-04-13 05:22:21 normalization > DBT_INTERNAL_SOURCE._airbyte_ab_id = DBT_INTERNAL_DEST._airbyte_ab_id 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > when matched then update set 2022-04-13 05:22:21 normalization > `id` = DBT_INTERNAL_SOURCE.`id`,`archived` = DBT_INTERNAL_SOURCE.`archived`,`createdAt` = DBT_INTERNAL_SOURCE.`createdAt`,`updatedAt` = DBT_INTERNAL_SOURCE.`updatedAt`,`archivedAt` = DBT_INTERNAL_SOURCE.`archivedAt`,`properties` = DBT_INTERNAL_SOURCE.`properties`,`associations` = DBT_INTERNAL_SOURCE.`associations`,`_airbyte_ab_id` = DBT_INTERNAL_SOURCE.`_airbyte_ab_id`,`_airbyte_emitted_at` = DBT_INTERNAL_SOURCE.`_airbyte_emitted_at`,`_airbyte_normalized_at` = DBT_INTERNAL_SOURCE.`_airbyte_normalized_at`,`_airbyte_quotes_hashid` = DBT_INTERNAL_SOURCE.`_airbyte_quotes_hashid` 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > when not matched then insert 2022-04-13 05:22:21 normalization > (`id`, `archived`, `createdAt`, `updatedAt`, `archivedAt`, `properties`, `associations`, `_airbyte_ab_id`, `_airbyte_emitted_at`, `_airbyte_normalized_at`, `_airbyte_quotes_hashid`) 2022-04-13 05:22:21 normalization > values 2022-04-13 05:22:21 normalization > (`id`, `archived`, `createdAt`, `updatedAt`, `archivedAt`, `properties`, `associations`, `_airbyte_ab_id`, `_airbyte_emitted_at`, `_airbyte_normalized_at`, `_airbyte_quotes_hashid`) 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 05:03:34.529767 [debug] [Thread-5 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:34.530354 [info ] [Thread-5 ]: 4 of 77 OK created incremental model hubspot_.engagements_calls......................................................... [MERGE (66.8k rows, 171.2 MB processed) in 29.81s] 2022-04-13 05:22:21 normalization > 05:03:34.530799 [debug] [Thread-5 ]: Finished running node model.airbyte_utils.engagements_calls 2022-04-13 05:22:21 normalization > 05:03:34.531024 [debug] [Thread-5 ]: Began running node model.airbyte_utils.subscription_changes 2022-04-13 05:22:21 normalization > 05:03:34.531573 [info ] [Thread-5 ]: 20 of 77 START incremental model hubspot_.subscription_changes.......................................................... [RUN] 2022-04-13 05:22:21 normalization > 05:03:34.532111 [debug] [Thread-5 ]: Acquiring new bigquery connection "model.airbyte_utils.subscription_changes" 2022-04-13 05:22:21 normalization > 05:03:34.532489 [debug] [Thread-5 ]: Began compiling node model.airbyte_utils.subscription_changes 2022-04-13 05:22:21 normalization > 05:03:34.532739 [debug] [Thread-5 ]: Compiling model.airbyte_utils.subscription_changes 2022-04-13 05:22:21 normalization > 05:03:34.542001 [debug] [Thread-5 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:34.647766 [debug] [Thread-5 ]: Writing injected SQL for node "model.airbyte_utils.subscription_changes" 2022-04-13 05:22:21 normalization > 05:03:34.648124 [debug] [Thread-5 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:34.648342 [debug] [Thread-5 ]: Began executing node model.airbyte_utils.subscription_changes 2022-04-13 05:22:21 normalization > 05:03:34.701779 [debug] [Thread-5 ]: On model.airbyte_utils.subscription_changes: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.subscription_changes"} */ 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > create or replace table `mansagroup-datascience`.hubspot_.`subscription_changes__dbt_tmp` 2022-04-13 05:22:21 normalization > partition by timestamp_trunc(_airbyte_emitted_at, day) 2022-04-13 05:22:21 normalization > cluster by _airbyte_emitted_at 2022-04-13 05:22:21 normalization > OPTIONS( 2022-04-13 05:22:21 normalization > expiration_timestamp=TIMESTAMP_ADD(CURRENT_TIMESTAMP(), INTERVAL 12 hour) 2022-04-13 05:22:21 normalization > ) 2022-04-13 05:22:21 normalization > as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > with __dbt__cte__subscription_changes_ab1 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema 2022-04-13 05:22:21 normalization > -- depends_on: `mansagroup-datascience`.hubspot_._airbyte_raw_subscription_changes 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > json_extract_array(_airbyte_data, "$['changes']") as changes, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['portalId']") as portalId, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['recipient']") as recipient, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['timestamp']") as timestamp, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:21 normalization > from `mansagroup-datascience`.hubspot_._airbyte_raw_subscription_changes as table_alias 2022-04-13 05:22:21 normalization > -- subscription_changes 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > ), __dbt__cte__subscription_changes_ab2 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__subscription_changes_ab1 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > changes, 2022-04-13 05:22:21 normalization > cast(portalId as 2022-04-13 05:22:21 normalization > int64 2022-04-13 05:22:21 normalization > ) as portalId, 2022-04-13 05:22:21 normalization > cast(recipient as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as recipient, 2022-04-13 05:22:21 normalization > cast(timestamp as 2022-04-13 05:22:21 normalization > int64 2022-04-13 05:22:21 normalization > ) as timestamp, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:21 normalization > from __dbt__cte__subscription_changes_ab1 2022-04-13 05:22:21 normalization > -- subscription_changes 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > ), __dbt__cte__subscription_changes_ab3 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to build a hash column based on the values of this record 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__subscription_changes_ab2 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > to_hex(md5(cast(concat(coalesce(cast(array_to_string(changes, "|", "") as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(portalId as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(recipient as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(timestamp as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), '')) as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ))) as _airbyte_subscription_changes_hashid, 2022-04-13 05:22:21 normalization > tmp.* 2022-04-13 05:22:21 normalization > from __dbt__cte__subscription_changes_ab2 tmp 2022-04-13 05:22:21 normalization > -- subscription_changes 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > )-- Final base SQL model 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__subscription_changes_ab3 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > changes, 2022-04-13 05:22:21 normalization > portalId, 2022-04-13 05:22:21 normalization > recipient, 2022-04-13 05:22:21 normalization > timestamp, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at, 2022-04-13 05:22:21 normalization > _airbyte_subscription_changes_hashid 2022-04-13 05:22:21 normalization > from __dbt__cte__subscription_changes_ab3 2022-04-13 05:22:21 normalization > -- subscription_changes from `mansagroup-datascience`.hubspot_._airbyte_raw_subscription_changes 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > and coalesce( 2022-04-13 05:22:21 normalization > cast(_airbyte_emitted_at as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) >= (select max(cast(_airbyte_emitted_at as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > )) from `mansagroup-datascience`.hubspot_.`subscription_changes`), 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > true) 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > ); 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 05:03:36.376899 [debug] [Thread-8 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:36.377567 [info ] [Thread-8 ]: 19 of 77 OK created incremental model hubspot_.quotes................................................................... [MERGE (0.0 rows, 0 processed) in 4.11s] 2022-04-13 05:22:21 normalization > 05:03:36.378003 [debug] [Thread-8 ]: Finished running node model.airbyte_utils.quotes 2022-04-13 05:22:21 normalization > 05:03:36.378224 [debug] [Thread-8 ]: Began running node model.airbyte_utils.engagements_notes 2022-04-13 05:22:21 normalization > 05:03:36.378744 [info ] [Thread-8 ]: 21 of 77 START incremental model hubspot_.engagements_notes............................................................. [RUN] 2022-04-13 05:22:21 normalization > 05:03:36.379339 [debug] [Thread-8 ]: Acquiring new bigquery connection "model.airbyte_utils.engagements_notes" 2022-04-13 05:22:21 normalization > 05:03:36.379684 [debug] [Thread-8 ]: Began compiling node model.airbyte_utils.engagements_notes 2022-04-13 05:22:21 normalization > 05:03:36.379876 [debug] [Thread-8 ]: Compiling model.airbyte_utils.engagements_notes 2022-04-13 05:22:21 normalization > 05:03:36.387419 [debug] [Thread-8 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:36.438589 [debug] [Thread-4 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:36.439090 [info ] [Thread-4 ]: 18 of 77 OK created incremental model hubspot_.engagements_meetings..................................................... [MERGE (6.1k rows, 18.7 MB processed) in 8.80s] 2022-04-13 05:22:21 normalization > 05:03:36.439514 [debug] [Thread-4 ]: Finished running node model.airbyte_utils.engagements_meetings 2022-04-13 05:22:21 normalization > 05:03:36.439755 [debug] [Thread-4 ]: Began running node model.airbyte_utils.products 2022-04-13 05:22:21 normalization > 05:03:36.440222 [info ] [Thread-4 ]: 22 of 77 START incremental model hubspot_.products...................................................................... [RUN] 2022-04-13 05:22:21 normalization > 05:03:36.440871 [debug] [Thread-4 ]: Acquiring new bigquery connection "model.airbyte_utils.products" 2022-04-13 05:22:21 normalization > 05:03:36.441055 [debug] [Thread-4 ]: Began compiling node model.airbyte_utils.products 2022-04-13 05:22:21 normalization > 05:03:36.441228 [debug] [Thread-4 ]: Compiling model.airbyte_utils.products 2022-04-13 05:22:21 normalization > 05:03:36.448579 [debug] [Thread-4 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:36.485546 [debug] [Thread-8 ]: Writing injected SQL for node "model.airbyte_utils.engagements_notes" 2022-04-13 05:22:21 normalization > 05:03:36.485916 [debug] [Thread-8 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:36.486310 [debug] [Thread-8 ]: Began executing node model.airbyte_utils.engagements_notes 2022-04-13 05:22:21 normalization > 05:03:36.540785 [debug] [Thread-8 ]: On model.airbyte_utils.engagements_notes: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.engagements_notes"} */ 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > create or replace table `mansagroup-datascience`.hubspot_.`engagements_notes__dbt_tmp` 2022-04-13 05:22:21 normalization > partition by timestamp_trunc(_airbyte_emitted_at, day) 2022-04-13 05:22:21 normalization > cluster by _airbyte_emitted_at 2022-04-13 05:22:21 normalization > OPTIONS( 2022-04-13 05:22:21 normalization > expiration_timestamp=TIMESTAMP_ADD(CURRENT_TIMESTAMP(), INTERVAL 12 hour) 2022-04-13 05:22:21 normalization > ) 2022-04-13 05:22:21 normalization > as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > with __dbt__cte__engagements_notes_ab1 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema 2022-04-13 05:22:21 normalization > -- depends_on: `mansagroup-datascience`.hubspot_._airbyte_raw_engagements_notes 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['id']") as id, 2022-04-13 05:22:21 normalization > json_extract_array(_airbyte_data, "$['deals']") as deals, 2022-04-13 05:22:21 normalization > json_extract_array(_airbyte_data, "$['tickets']") as tickets, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['archived']") as archived, 2022-04-13 05:22:21 normalization > json_extract_array(_airbyte_data, "$['contacts']") as contacts, 2022-04-13 05:22:21 normalization > json_extract_array(_airbyte_data, "$['companies']") as companies, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['createdAt']") as createdAt, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['updatedAt']") as updatedAt, 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > json_extract(table_alias._airbyte_data, "$['properties']") 2022-04-13 05:22:21 normalization > as properties, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:21 normalization > from `mansagroup-datascience`.hubspot_._airbyte_raw_engagements_notes as table_alias 2022-04-13 05:22:21 normalization > -- engagements_notes 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > ), __dbt__cte__engagements_notes_ab2 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__engagements_notes_ab1 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > cast(id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as id, 2022-04-13 05:22:21 normalization > deals, 2022-04-13 05:22:21 normalization > tickets, 2022-04-13 05:22:21 normalization > cast(archived as boolean) as archived, 2022-04-13 05:22:21 normalization > contacts, 2022-04-13 05:22:21 normalization > companies, 2022-04-13 05:22:21 normalization > cast(nullif(createdAt, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as createdAt, 2022-04-13 05:22:21 normalization > cast(nullif(updatedAt, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as updatedAt, 2022-04-13 05:22:21 normalization > cast(properties as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as properties, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:21 normalization > from __dbt__cte__engagements_notes_ab1 2022-04-13 05:22:21 normalization > -- engagements_notes 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > ), __dbt__cte__engagements_notes_ab3 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to build a hash column based on the values of this record 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__engagements_notes_ab2 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > to_hex(md5(cast(concat(coalesce(cast(id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(array_to_string(deals, "|", "") as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(array_to_string(tickets, "|", "") as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(archived as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(array_to_string(contacts, "|", "") as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(array_to_string(companies, "|", "") as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(createdAt as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(updatedAt as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(properties as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), '')) as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ))) as _airbyte_engagements_notes_hashid, 2022-04-13 05:22:21 normalization > tmp.* 2022-04-13 05:22:21 normalization > from __dbt__cte__engagements_notes_ab2 tmp 2022-04-13 05:22:21 normalization > -- engagements_notes 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > )-- Final base SQL model 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__engagements_notes_ab3 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > id, 2022-04-13 05:22:21 normalization > deals, 2022-04-13 05:22:21 normalization > tickets, 2022-04-13 05:22:21 normalization > archived, 2022-04-13 05:22:21 normalization > contacts, 2022-04-13 05:22:21 normalization > companies, 2022-04-13 05:22:21 normalization > createdAt, 2022-04-13 05:22:21 normalization > updatedAt, 2022-04-13 05:22:21 normalization > properties, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at, 2022-04-13 05:22:21 normalization > _airbyte_engagements_notes_hashid 2022-04-13 05:22:21 normalization > from __dbt__cte__engagements_notes_ab3 2022-04-13 05:22:21 normalization > -- engagements_notes from `mansagroup-datascience`.hubspot_._airbyte_raw_engagements_notes 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > and coalesce( 2022-04-13 05:22:21 normalization > cast(_airbyte_emitted_at as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) >= (select max(cast(_airbyte_emitted_at as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > )) from `mansagroup-datascience`.hubspot_.`engagements_notes`), 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > true) 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > ); 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 05:03:36.561618 [debug] [Thread-4 ]: Writing injected SQL for node "model.airbyte_utils.products" 2022-04-13 05:22:21 normalization > 05:03:36.561934 [debug] [Thread-4 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:36.562105 [debug] [Thread-4 ]: Began executing node model.airbyte_utils.products 2022-04-13 05:22:21 normalization > 05:03:36.605521 [debug] [Thread-4 ]: On model.airbyte_utils.products: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.products"} */ 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > create or replace table `mansagroup-datascience`.hubspot_.`products__dbt_tmp` 2022-04-13 05:22:21 normalization > partition by timestamp_trunc(_airbyte_emitted_at, day) 2022-04-13 05:22:21 normalization > cluster by _airbyte_emitted_at 2022-04-13 05:22:21 normalization > OPTIONS( 2022-04-13 05:22:21 normalization > expiration_timestamp=TIMESTAMP_ADD(CURRENT_TIMESTAMP(), INTERVAL 12 hour) 2022-04-13 05:22:21 normalization > ) 2022-04-13 05:22:21 normalization > as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > with __dbt__cte__products_ab1 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema 2022-04-13 05:22:21 normalization > -- depends_on: `mansagroup-datascience`.hubspot_._airbyte_raw_products 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['id']") as id, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['archived']") as archived, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['createdAt']") as createdAt, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['updatedAt']") as updatedAt, 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > json_extract(table_alias._airbyte_data, "$['properties']") 2022-04-13 05:22:21 normalization > as properties, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:21 normalization > from `mansagroup-datascience`.hubspot_._airbyte_raw_products as table_alias 2022-04-13 05:22:21 normalization > -- products 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > ), __dbt__cte__products_ab2 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__products_ab1 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > cast(id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as id, 2022-04-13 05:22:21 normalization > cast(archived as boolean) as archived, 2022-04-13 05:22:21 normalization > cast(nullif(createdAt, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as createdAt, 2022-04-13 05:22:21 normalization > cast(nullif(updatedAt, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as updatedAt, 2022-04-13 05:22:21 normalization > cast(properties as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as properties, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:21 normalization > from __dbt__cte__products_ab1 2022-04-13 05:22:21 normalization > -- products 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > ), __dbt__cte__products_ab3 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to build a hash column based on the values of this record 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__products_ab2 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > to_hex(md5(cast(concat(coalesce(cast(id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(archived as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(createdAt as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(updatedAt as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(properties as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), '')) as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ))) as _airbyte_products_hashid, 2022-04-13 05:22:21 normalization > tmp.* 2022-04-13 05:22:21 normalization > from __dbt__cte__products_ab2 tmp 2022-04-13 05:22:21 normalization > -- products 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > )-- Final base SQL model 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__products_ab3 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > id, 2022-04-13 05:22:21 normalization > archived, 2022-04-13 05:22:21 normalization > createdAt, 2022-04-13 05:22:21 normalization > updatedAt, 2022-04-13 05:22:21 normalization > properties, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at, 2022-04-13 05:22:21 normalization > _airbyte_products_hashid 2022-04-13 05:22:21 normalization > from __dbt__cte__products_ab3 2022-04-13 05:22:21 normalization > -- products from `mansagroup-datascience`.hubspot_._airbyte_raw_products 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > and coalesce( 2022-04-13 05:22:21 normalization > cast(_airbyte_emitted_at as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) >= (select max(cast(_airbyte_emitted_at as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > )) from `mansagroup-datascience`.hubspot_.`products`), 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > true) 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > ); 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 05:03:37.022458 [debug] [Thread-5 ]: 2022-04-13 05:22:21 normalization > In `mansagroup-datascience`.`hubspot_`.`subscription_changes`: 2022-04-13 05:22:21 normalization > Schema changed: False 2022-04-13 05:22:21 normalization > Source columns not in target: [] 2022-04-13 05:22:21 normalization > Target columns not in source: [] 2022-04-13 05:22:21 normalization > New column types: [] 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 05:03:37.023558 [debug] [Thread-5 ]: Writing runtime SQL for node "model.airbyte_utils.subscription_changes" 2022-04-13 05:22:21 normalization > 05:03:37.023929 [debug] [Thread-5 ]: On model.airbyte_utils.subscription_changes: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.subscription_changes"} */ 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > merge into `mansagroup-datascience`.hubspot_.`subscription_changes` as DBT_INTERNAL_DEST 2022-04-13 05:22:21 normalization > using ( 2022-04-13 05:22:21 normalization > select * from `mansagroup-datascience`.hubspot_.`subscription_changes__dbt_tmp` 2022-04-13 05:22:21 normalization > ) as DBT_INTERNAL_SOURCE 2022-04-13 05:22:21 normalization > on 2022-04-13 05:22:21 normalization > DBT_INTERNAL_SOURCE._airbyte_ab_id = DBT_INTERNAL_DEST._airbyte_ab_id 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > when matched then update set 2022-04-13 05:22:21 normalization > `changes` = DBT_INTERNAL_SOURCE.`changes`,`portalId` = DBT_INTERNAL_SOURCE.`portalId`,`recipient` = DBT_INTERNAL_SOURCE.`recipient`,`timestamp` = DBT_INTERNAL_SOURCE.`timestamp`,`_airbyte_ab_id` = DBT_INTERNAL_SOURCE.`_airbyte_ab_id`,`_airbyte_emitted_at` = DBT_INTERNAL_SOURCE.`_airbyte_emitted_at`,`_airbyte_normalized_at` = DBT_INTERNAL_SOURCE.`_airbyte_normalized_at`,`_airbyte_subscription_changes_hashid` = DBT_INTERNAL_SOURCE.`_airbyte_subscription_changes_hashid` 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > when not matched then insert 2022-04-13 05:22:21 normalization > (`changes`, `portalId`, `recipient`, `timestamp`, `_airbyte_ab_id`, `_airbyte_emitted_at`, `_airbyte_normalized_at`, `_airbyte_subscription_changes_hashid`) 2022-04-13 05:22:21 normalization > values 2022-04-13 05:22:21 normalization > (`changes`, `portalId`, `recipient`, `timestamp`, `_airbyte_ab_id`, `_airbyte_emitted_at`, `_airbyte_normalized_at`, `_airbyte_subscription_changes_hashid`) 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 05:03:38.589032 [debug] [Thread-4 ]: 2022-04-13 05:22:21 normalization > In `mansagroup-datascience`.`hubspot_`.`products`: 2022-04-13 05:22:21 normalization > Schema changed: False 2022-04-13 05:22:21 normalization > Source columns not in target: [] 2022-04-13 05:22:21 normalization > Target columns not in source: [] 2022-04-13 05:22:21 normalization > New column types: [] 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 05:03:38.590151 [debug] [Thread-4 ]: Writing runtime SQL for node "model.airbyte_utils.products" 2022-04-13 05:22:21 normalization > 05:03:38.590543 [debug] [Thread-4 ]: On model.airbyte_utils.products: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.products"} */ 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > merge into `mansagroup-datascience`.hubspot_.`products` as DBT_INTERNAL_DEST 2022-04-13 05:22:21 normalization > using ( 2022-04-13 05:22:21 normalization > select * from `mansagroup-datascience`.hubspot_.`products__dbt_tmp` 2022-04-13 05:22:21 normalization > ) as DBT_INTERNAL_SOURCE 2022-04-13 05:22:21 normalization > on 2022-04-13 05:22:21 normalization > DBT_INTERNAL_SOURCE._airbyte_ab_id = DBT_INTERNAL_DEST._airbyte_ab_id 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > when matched then update set 2022-04-13 05:22:21 normalization > `id` = DBT_INTERNAL_SOURCE.`id`,`archived` = DBT_INTERNAL_SOURCE.`archived`,`createdAt` = DBT_INTERNAL_SOURCE.`createdAt`,`updatedAt` = DBT_INTERNAL_SOURCE.`updatedAt`,`properties` = DBT_INTERNAL_SOURCE.`properties`,`_airbyte_ab_id` = DBT_INTERNAL_SOURCE.`_airbyte_ab_id`,`_airbyte_emitted_at` = DBT_INTERNAL_SOURCE.`_airbyte_emitted_at`,`_airbyte_normalized_at` = DBT_INTERNAL_SOURCE.`_airbyte_normalized_at`,`_airbyte_products_hashid` = DBT_INTERNAL_SOURCE.`_airbyte_products_hashid` 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > when not matched then insert 2022-04-13 05:22:21 normalization > (`id`, `archived`, `createdAt`, `updatedAt`, `properties`, `_airbyte_ab_id`, `_airbyte_emitted_at`, `_airbyte_normalized_at`, `_airbyte_products_hashid`) 2022-04-13 05:22:21 normalization > values 2022-04-13 05:22:21 normalization > (`id`, `archived`, `createdAt`, `updatedAt`, `properties`, `_airbyte_ab_id`, `_airbyte_emitted_at`, `_airbyte_normalized_at`, `_airbyte_products_hashid`) 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 05:03:39.291166 [debug] [Thread-7 ]: 2022-04-13 05:22:21 normalization > In `mansagroup-datascience`.`hubspot_`.`engagements_emails`: 2022-04-13 05:22:21 normalization > Schema changed: False 2022-04-13 05:22:21 normalization > Source columns not in target: [] 2022-04-13 05:22:21 normalization > Target columns not in source: [] 2022-04-13 05:22:21 normalization > New column types: [] 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 05:03:39.292323 [debug] [Thread-7 ]: Writing runtime SQL for node "model.airbyte_utils.engagements_emails" 2022-04-13 05:22:21 normalization > 05:03:39.292688 [debug] [Thread-7 ]: On model.airbyte_utils.engagements_emails: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.engagements_emails"} */ 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > merge into `mansagroup-datascience`.hubspot_.`engagements_emails` as DBT_INTERNAL_DEST 2022-04-13 05:22:21 normalization > using ( 2022-04-13 05:22:21 normalization > select * from `mansagroup-datascience`.hubspot_.`engagements_emails__dbt_tmp` 2022-04-13 05:22:21 normalization > ) as DBT_INTERNAL_SOURCE 2022-04-13 05:22:21 normalization > on 2022-04-13 05:22:21 normalization > DBT_INTERNAL_SOURCE._airbyte_ab_id = DBT_INTERNAL_DEST._airbyte_ab_id 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > when matched then update set 2022-04-13 05:22:21 normalization > `id` = DBT_INTERNAL_SOURCE.`id`,`deals` = DBT_INTERNAL_SOURCE.`deals`,`tickets` = DBT_INTERNAL_SOURCE.`tickets`,`archived` = DBT_INTERNAL_SOURCE.`archived`,`contacts` = DBT_INTERNAL_SOURCE.`contacts`,`companies` = DBT_INTERNAL_SOURCE.`companies`,`createdAt` = DBT_INTERNAL_SOURCE.`createdAt`,`updatedAt` = DBT_INTERNAL_SOURCE.`updatedAt`,`properties` = DBT_INTERNAL_SOURCE.`properties`,`_airbyte_ab_id` = DBT_INTERNAL_SOURCE.`_airbyte_ab_id`,`_airbyte_emitted_at` = DBT_INTERNAL_SOURCE.`_airbyte_emitted_at`,`_airbyte_normalized_at` = DBT_INTERNAL_SOURCE.`_airbyte_normalized_at`,`_airbyte_engagements_emails_hashid` = DBT_INTERNAL_SOURCE.`_airbyte_engagements_emails_hashid` 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > when not matched then insert 2022-04-13 05:22:21 normalization > (`id`, `deals`, `tickets`, `archived`, `contacts`, `companies`, `createdAt`, `updatedAt`, `properties`, `_airbyte_ab_id`, `_airbyte_emitted_at`, `_airbyte_normalized_at`, `_airbyte_engagements_emails_hashid`) 2022-04-13 05:22:21 normalization > values 2022-04-13 05:22:21 normalization > (`id`, `deals`, `tickets`, `archived`, `contacts`, `companies`, `createdAt`, `updatedAt`, `properties`, `_airbyte_ab_id`, `_airbyte_emitted_at`, `_airbyte_normalized_at`, `_airbyte_engagements_emails_hashid`) 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 05:03:40.090569 [debug] [Thread-5 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:40.091244 [info ] [Thread-5 ]: 20 of 77 OK created incremental model hubspot_.subscription_changes..................................................... [MERGE (1.9k rows, 726.3 KB processed) in 5.56s] 2022-04-13 05:22:21 normalization > 05:03:40.091690 [debug] [Thread-5 ]: Finished running node model.airbyte_utils.subscription_changes 2022-04-13 05:22:21 normalization > 05:03:40.091948 [debug] [Thread-5 ]: Began running node model.airbyte_utils.engagements_tasks 2022-04-13 05:22:21 normalization > 05:03:40.092472 [info ] [Thread-5 ]: 23 of 77 START incremental model hubspot_.engagements_tasks............................................................. [RUN] 2022-04-13 05:22:21 normalization > 05:03:40.093185 [debug] [Thread-5 ]: Acquiring new bigquery connection "model.airbyte_utils.engagements_tasks" 2022-04-13 05:22:21 normalization > 05:03:40.093417 [debug] [Thread-5 ]: Began compiling node model.airbyte_utils.engagements_tasks 2022-04-13 05:22:21 normalization > 05:03:40.093583 [debug] [Thread-5 ]: Compiling model.airbyte_utils.engagements_tasks 2022-04-13 05:22:21 normalization > 05:03:40.101377 [debug] [Thread-5 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:40.231725 [debug] [Thread-5 ]: Writing injected SQL for node "model.airbyte_utils.engagements_tasks" 2022-04-13 05:22:21 normalization > 05:03:40.232092 [debug] [Thread-5 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:40.232304 [debug] [Thread-5 ]: Began executing node model.airbyte_utils.engagements_tasks 2022-04-13 05:22:21 normalization > 05:03:40.292030 [debug] [Thread-5 ]: On model.airbyte_utils.engagements_tasks: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.engagements_tasks"} */ 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > create or replace table `mansagroup-datascience`.hubspot_.`engagements_tasks__dbt_tmp` 2022-04-13 05:22:21 normalization > partition by timestamp_trunc(_airbyte_emitted_at, day) 2022-04-13 05:22:21 normalization > cluster by _airbyte_emitted_at 2022-04-13 05:22:21 normalization > OPTIONS( 2022-04-13 05:22:21 normalization > expiration_timestamp=TIMESTAMP_ADD(CURRENT_TIMESTAMP(), INTERVAL 12 hour) 2022-04-13 05:22:21 normalization > ) 2022-04-13 05:22:21 normalization > as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > with __dbt__cte__engagements_tasks_ab1 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema 2022-04-13 05:22:21 normalization > -- depends_on: `mansagroup-datascience`.hubspot_._airbyte_raw_engagements_tasks 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['id']") as id, 2022-04-13 05:22:21 normalization > json_extract_array(_airbyte_data, "$['deals']") as deals, 2022-04-13 05:22:21 normalization > json_extract_array(_airbyte_data, "$['tickets']") as tickets, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['archived']") as archived, 2022-04-13 05:22:21 normalization > json_extract_array(_airbyte_data, "$['contacts']") as contacts, 2022-04-13 05:22:21 normalization > json_extract_array(_airbyte_data, "$['companies']") as companies, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['createdAt']") as createdAt, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['updatedAt']") as updatedAt, 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > json_extract(table_alias._airbyte_data, "$['properties']") 2022-04-13 05:22:21 normalization > as properties, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:21 normalization > from `mansagroup-datascience`.hubspot_._airbyte_raw_engagements_tasks as table_alias 2022-04-13 05:22:21 normalization > -- engagements_tasks 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > ), __dbt__cte__engagements_tasks_ab2 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__engagements_tasks_ab1 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > cast(id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as id, 2022-04-13 05:22:21 normalization > deals, 2022-04-13 05:22:21 normalization > tickets, 2022-04-13 05:22:21 normalization > cast(archived as boolean) as archived, 2022-04-13 05:22:21 normalization > contacts, 2022-04-13 05:22:21 normalization > companies, 2022-04-13 05:22:21 normalization > cast(nullif(createdAt, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as createdAt, 2022-04-13 05:22:21 normalization > cast(nullif(updatedAt, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as updatedAt, 2022-04-13 05:22:21 normalization > cast(properties as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as properties, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:21 normalization > from __dbt__cte__engagements_tasks_ab1 2022-04-13 05:22:21 normalization > -- engagements_tasks 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > ), __dbt__cte__engagements_tasks_ab3 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to build a hash column based on the values of this record 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__engagements_tasks_ab2 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > to_hex(md5(cast(concat(coalesce(cast(id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(array_to_string(deals, "|", "") as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(array_to_string(tickets, "|", "") as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(archived as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(array_to_string(contacts, "|", "") as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(array_to_string(companies, "|", "") as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(createdAt as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(updatedAt as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(properties as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), '')) as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ))) as _airbyte_engagements_tasks_hashid, 2022-04-13 05:22:21 normalization > tmp.* 2022-04-13 05:22:21 normalization > from __dbt__cte__engagements_tasks_ab2 tmp 2022-04-13 05:22:21 normalization > -- engagements_tasks 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > )-- Final base SQL model 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__engagements_tasks_ab3 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > id, 2022-04-13 05:22:21 normalization > deals, 2022-04-13 05:22:21 normalization > tickets, 2022-04-13 05:22:21 normalization > archived, 2022-04-13 05:22:21 normalization > contacts, 2022-04-13 05:22:21 normalization > companies, 2022-04-13 05:22:21 normalization > createdAt, 2022-04-13 05:22:21 normalization > updatedAt, 2022-04-13 05:22:21 normalization > properties, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at, 2022-04-13 05:22:21 normalization > _airbyte_engagements_tasks_hashid 2022-04-13 05:22:21 normalization > from __dbt__cte__engagements_tasks_ab3 2022-04-13 05:22:21 normalization > -- engagements_tasks from `mansagroup-datascience`.hubspot_._airbyte_raw_engagements_tasks 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > and coalesce( 2022-04-13 05:22:21 normalization > cast(_airbyte_emitted_at as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) >= (select max(cast(_airbyte_emitted_at as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > )) from `mansagroup-datascience`.hubspot_.`engagements_tasks`), 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > true) 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > ); 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 05:03:40.379998 [debug] [Thread-2 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:40.380593 [info ] [Thread-2 ]: 7 of 77 OK created incremental model hubspot_.contacts.................................................................. [MERGE (76.7k rows, 1.0 GB processed) in 35.44s] 2022-04-13 05:22:21 normalization > 05:03:40.381013 [debug] [Thread-2 ]: Finished running node model.airbyte_utils.contacts 2022-04-13 05:22:21 normalization > 05:03:40.381226 [debug] [Thread-2 ]: Began running node model.airbyte_utils.property_history 2022-04-13 05:22:21 normalization > 05:03:40.381709 [info ] [Thread-2 ]: 24 of 77 START incremental model hubspot_.property_history.............................................................. [RUN] 2022-04-13 05:22:21 normalization > 05:03:40.382362 [debug] [Thread-2 ]: Acquiring new bigquery connection "model.airbyte_utils.property_history" 2022-04-13 05:22:21 normalization > 05:03:40.382540 [debug] [Thread-2 ]: Began compiling node model.airbyte_utils.property_history 2022-04-13 05:22:21 normalization > 05:03:40.382693 [debug] [Thread-2 ]: Compiling model.airbyte_utils.property_history 2022-04-13 05:22:21 normalization > 05:03:40.391688 [debug] [Thread-2 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:40.501170 [debug] [Thread-2 ]: Writing injected SQL for node "model.airbyte_utils.property_history" 2022-04-13 05:22:21 normalization > 05:03:40.501528 [debug] [Thread-2 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:40.501702 [debug] [Thread-2 ]: Began executing node model.airbyte_utils.property_history 2022-04-13 05:22:21 normalization > 05:03:40.560360 [debug] [Thread-2 ]: On model.airbyte_utils.property_history: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.property_history"} */ 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > create or replace table `mansagroup-datascience`.hubspot_.`property_history__dbt_tmp` 2022-04-13 05:22:21 normalization > partition by timestamp_trunc(_airbyte_emitted_at, day) 2022-04-13 05:22:21 normalization > cluster by _airbyte_emitted_at 2022-04-13 05:22:21 normalization > OPTIONS( 2022-04-13 05:22:21 normalization > expiration_timestamp=TIMESTAMP_ADD(CURRENT_TIMESTAMP(), INTERVAL 12 hour) 2022-04-13 05:22:21 normalization > ) 2022-04-13 05:22:21 normalization > as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > with __dbt__cte__property_history_ab1 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema 2022-04-13 05:22:21 normalization > -- depends_on: `mansagroup-datascience`.hubspot_._airbyte_raw_property_history 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['vid']") as vid, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['value']") as value, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['property']") as property, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['selected']") as selected, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['source-id']") as source_id, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['timestamp']") as timestamp, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['source-type']") as source_type, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['source-label']") as source_label, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['updated-by-user-id']") as updated_by_user_id, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:21 normalization > from `mansagroup-datascience`.hubspot_._airbyte_raw_property_history as table_alias 2022-04-13 05:22:21 normalization > -- property_history 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > ), __dbt__cte__property_history_ab2 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__property_history_ab1 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > cast(vid as 2022-04-13 05:22:21 normalization > int64 2022-04-13 05:22:21 normalization > ) as vid, 2022-04-13 05:22:21 normalization > cast(value as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as value, 2022-04-13 05:22:21 normalization > cast(property as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as property, 2022-04-13 05:22:21 normalization > cast(selected as boolean) as selected, 2022-04-13 05:22:21 normalization > cast(source_id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as source_id, 2022-04-13 05:22:21 normalization > cast(nullif(timestamp, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as timestamp, 2022-04-13 05:22:21 normalization > cast(source_type as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as source_type, 2022-04-13 05:22:21 normalization > cast(source_label as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as source_label, 2022-04-13 05:22:21 normalization > cast(updated_by_user_id as 2022-04-13 05:22:21 normalization > int64 2022-04-13 05:22:21 normalization > ) as updated_by_user_id, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:21 normalization > from __dbt__cte__property_history_ab1 2022-04-13 05:22:21 normalization > -- property_history 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > ), __dbt__cte__property_history_ab3 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to build a hash column based on the values of this record 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__property_history_ab2 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > to_hex(md5(cast(concat(coalesce(cast(vid as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(value as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(property as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(selected as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(source_id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(timestamp as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(source_type as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(source_label as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(updated_by_user_id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), '')) as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ))) as _airbyte_property_history_hashid, 2022-04-13 05:22:21 normalization > tmp.* 2022-04-13 05:22:21 normalization > from __dbt__cte__property_history_ab2 tmp 2022-04-13 05:22:21 normalization > -- property_history 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > )-- Final base SQL model 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__property_history_ab3 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > vid, 2022-04-13 05:22:21 normalization > value, 2022-04-13 05:22:21 normalization > property, 2022-04-13 05:22:21 normalization > selected, 2022-04-13 05:22:21 normalization > source_id, 2022-04-13 05:22:21 normalization > timestamp, 2022-04-13 05:22:21 normalization > source_type, 2022-04-13 05:22:21 normalization > source_label, 2022-04-13 05:22:21 normalization > updated_by_user_id, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at, 2022-04-13 05:22:21 normalization > _airbyte_property_history_hashid 2022-04-13 05:22:21 normalization > from __dbt__cte__property_history_ab3 2022-04-13 05:22:21 normalization > -- property_history from `mansagroup-datascience`.hubspot_._airbyte_raw_property_history 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > and coalesce( 2022-04-13 05:22:21 normalization > cast(_airbyte_emitted_at as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) >= (select max(cast(_airbyte_emitted_at as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > )) from `mansagroup-datascience`.hubspot_.`property_history`), 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > true) 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > ); 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 05:03:40.772951 [debug] [Thread-1 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:40.773624 [info ] [Thread-1 ]: 5 of 77 OK created incremental model hubspot_.deals..................................................................... [MERGE (68.4k rows, 684.1 MB processed) in 36.01s] 2022-04-13 05:22:21 normalization > 05:03:40.774049 [debug] [Thread-1 ]: Finished running node model.airbyte_utils.deals 2022-04-13 05:22:21 normalization > 05:03:40.774287 [debug] [Thread-1 ]: Began running node model.airbyte_utils.line_items 2022-04-13 05:22:21 normalization > 05:03:40.774949 [info ] [Thread-1 ]: 25 of 77 START incremental model hubspot_.line_items.................................................................... [RUN] 2022-04-13 05:22:21 normalization > 05:03:40.775510 [debug] [Thread-1 ]: Acquiring new bigquery connection "model.airbyte_utils.line_items" 2022-04-13 05:22:21 normalization > 05:03:40.775689 [debug] [Thread-1 ]: Began compiling node model.airbyte_utils.line_items 2022-04-13 05:22:21 normalization > 05:03:40.775845 [debug] [Thread-1 ]: Compiling model.airbyte_utils.line_items 2022-04-13 05:22:21 normalization > 05:03:40.783298 [debug] [Thread-1 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:40.805748 [debug] [Thread-4 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:40.806406 [info ] [Thread-4 ]: 22 of 77 OK created incremental model hubspot_.products................................................................. [MERGE (0.0 rows, 0 processed) in 4.37s] 2022-04-13 05:22:21 normalization > 05:03:40.807018 [debug] [Thread-4 ]: Finished running node model.airbyte_utils.products 2022-04-13 05:22:21 normalization > 05:03:40.807270 [debug] [Thread-4 ]: Began running node model.airbyte_utils.tickets 2022-04-13 05:22:21 normalization > 05:03:40.807758 [info ] [Thread-4 ]: 26 of 77 START incremental model hubspot_.tickets....................................................................... [RUN] 2022-04-13 05:22:21 normalization > 05:03:40.808637 [debug] [Thread-4 ]: Acquiring new bigquery connection "model.airbyte_utils.tickets" 2022-04-13 05:22:21 normalization > 05:03:40.808926 [debug] [Thread-4 ]: Began compiling node model.airbyte_utils.tickets 2022-04-13 05:22:21 normalization > 05:03:40.809444 [debug] [Thread-4 ]: Compiling model.airbyte_utils.tickets 2022-04-13 05:22:21 normalization > 05:03:40.817026 [debug] [Thread-4 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:40.888816 [debug] [Thread-1 ]: Writing injected SQL for node "model.airbyte_utils.line_items" 2022-04-13 05:22:21 normalization > 05:03:40.889149 [debug] [Thread-1 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:40.889353 [debug] [Thread-1 ]: Began executing node model.airbyte_utils.line_items 2022-04-13 05:22:21 normalization > 05:03:40.919209 [debug] [Thread-4 ]: Writing injected SQL for node "model.airbyte_utils.tickets" 2022-04-13 05:22:21 normalization > 05:03:40.919513 [debug] [Thread-4 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:40.919682 [debug] [Thread-4 ]: Began executing node model.airbyte_utils.tickets 2022-04-13 05:22:21 normalization > 05:03:40.954407 [debug] [Thread-1 ]: On model.airbyte_utils.line_items: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.line_items"} */ 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > create or replace table `mansagroup-datascience`.hubspot_.`line_items__dbt_tmp` 2022-04-13 05:22:21 normalization > partition by timestamp_trunc(_airbyte_emitted_at, day) 2022-04-13 05:22:21 normalization > cluster by _airbyte_emitted_at 2022-04-13 05:22:21 normalization > OPTIONS( 2022-04-13 05:22:21 normalization > expiration_timestamp=TIMESTAMP_ADD(CURRENT_TIMESTAMP(), INTERVAL 12 hour) 2022-04-13 05:22:21 normalization > ) 2022-04-13 05:22:21 normalization > as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > with __dbt__cte__line_items_ab1 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema 2022-04-13 05:22:21 normalization > -- depends_on: `mansagroup-datascience`.hubspot_._airbyte_raw_line_items 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['id']") as id, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['archived']") as archived, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['createdAt']") as createdAt, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['updatedAt']") as updatedAt, 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > json_extract(table_alias._airbyte_data, "$['properties']") 2022-04-13 05:22:21 normalization > as properties, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:21 normalization > from `mansagroup-datascience`.hubspot_._airbyte_raw_line_items as table_alias 2022-04-13 05:22:21 normalization > -- line_items 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > ), __dbt__cte__line_items_ab2 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__line_items_ab1 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > cast(id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as id, 2022-04-13 05:22:21 normalization > cast(archived as boolean) as archived, 2022-04-13 05:22:21 normalization > cast(nullif(createdAt, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as createdAt, 2022-04-13 05:22:21 normalization > cast(nullif(updatedAt, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as updatedAt, 2022-04-13 05:22:21 normalization > cast(properties as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as properties, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:21 normalization > from __dbt__cte__line_items_ab1 2022-04-13 05:22:21 normalization > -- line_items 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > ), __dbt__cte__line_items_ab3 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to build a hash column based on the values of this record 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__line_items_ab2 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > to_hex(md5(cast(concat(coalesce(cast(id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(archived as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(createdAt as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(updatedAt as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(properties as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), '')) as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ))) as _airbyte_line_items_hashid, 2022-04-13 05:22:21 normalization > tmp.* 2022-04-13 05:22:21 normalization > from __dbt__cte__line_items_ab2 tmp 2022-04-13 05:22:21 normalization > -- line_items 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > )-- Final base SQL model 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__line_items_ab3 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > id, 2022-04-13 05:22:21 normalization > archived, 2022-04-13 05:22:21 normalization > createdAt, 2022-04-13 05:22:21 normalization > updatedAt, 2022-04-13 05:22:21 normalization > properties, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at, 2022-04-13 05:22:21 normalization > _airbyte_line_items_hashid 2022-04-13 05:22:21 normalization > from __dbt__cte__line_items_ab3 2022-04-13 05:22:21 normalization > -- line_items from `mansagroup-datascience`.hubspot_._airbyte_raw_line_items 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > and coalesce( 2022-04-13 05:22:21 normalization > cast(_airbyte_emitted_at as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) >= (select max(cast(_airbyte_emitted_at as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > )) from `mansagroup-datascience`.hubspot_.`line_items`), 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > true) 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > ); 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 05:03:40.963769 [debug] [Thread-4 ]: On model.airbyte_utils.tickets: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.tickets"} */ 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > create or replace table `mansagroup-datascience`.hubspot_.`tickets__dbt_tmp` 2022-04-13 05:22:21 normalization > partition by timestamp_trunc(_airbyte_emitted_at, day) 2022-04-13 05:22:21 normalization > cluster by _airbyte_emitted_at 2022-04-13 05:22:21 normalization > OPTIONS( 2022-04-13 05:22:21 normalization > expiration_timestamp=TIMESTAMP_ADD(CURRENT_TIMESTAMP(), INTERVAL 12 hour) 2022-04-13 05:22:21 normalization > ) 2022-04-13 05:22:21 normalization > as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > with __dbt__cte__tickets_ab1 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema 2022-04-13 05:22:21 normalization > -- depends_on: `mansagroup-datascience`.hubspot_._airbyte_raw_tickets 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['id']") as id, 2022-04-13 05:22:21 normalization > json_extract_array(_airbyte_data, "$['deals']") as deals, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['archived']") as archived, 2022-04-13 05:22:21 normalization > json_extract_array(_airbyte_data, "$['contacts']") as contacts, 2022-04-13 05:22:21 normalization > json_extract_array(_airbyte_data, "$['companies']") as companies, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['createdAt']") as createdAt, 2022-04-13 05:22:21 normalization > json_extract_scalar(_airbyte_data, "$['updatedAt']") as updatedAt, 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > json_extract(table_alias._airbyte_data, "$['properties']") 2022-04-13 05:22:21 normalization > as properties, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:21 normalization > from `mansagroup-datascience`.hubspot_._airbyte_raw_tickets as table_alias 2022-04-13 05:22:21 normalization > -- tickets 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > ), __dbt__cte__tickets_ab2 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__tickets_ab1 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > cast(id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as id, 2022-04-13 05:22:21 normalization > deals, 2022-04-13 05:22:21 normalization > cast(archived as boolean) as archived, 2022-04-13 05:22:21 normalization > contacts, 2022-04-13 05:22:21 normalization > companies, 2022-04-13 05:22:21 normalization > cast(nullif(createdAt, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as createdAt, 2022-04-13 05:22:21 normalization > cast(nullif(updatedAt, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as updatedAt, 2022-04-13 05:22:21 normalization > cast(properties as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as properties, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:21 normalization > from __dbt__cte__tickets_ab1 2022-04-13 05:22:21 normalization > -- tickets 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > ), __dbt__cte__tickets_ab3 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to build a hash column based on the values of this record 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__tickets_ab2 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > to_hex(md5(cast(concat(coalesce(cast(id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(array_to_string(deals, "|", "") as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(archived as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(array_to_string(contacts, "|", "") as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(array_to_string(companies, "|", "") as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(createdAt as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(updatedAt as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(properties as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), '')) as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ))) as _airbyte_tickets_hashid, 2022-04-13 05:22:21 normalization > tmp.* 2022-04-13 05:22:21 normalization > from __dbt__cte__tickets_ab2 tmp 2022-04-13 05:22:21 normalization > -- tickets 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > )-- Final base SQL model 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__tickets_ab3 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > id, 2022-04-13 05:22:21 normalization > deals, 2022-04-13 05:22:21 normalization > archived, 2022-04-13 05:22:21 normalization > contacts, 2022-04-13 05:22:21 normalization > companies, 2022-04-13 05:22:21 normalization > createdAt, 2022-04-13 05:22:21 normalization > updatedAt, 2022-04-13 05:22:21 normalization > properties, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at, 2022-04-13 05:22:21 normalization > _airbyte_tickets_hashid 2022-04-13 05:22:21 normalization > from __dbt__cte__tickets_ab3 2022-04-13 05:22:21 normalization > -- tickets from `mansagroup-datascience`.hubspot_._airbyte_raw_tickets 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > and coalesce( 2022-04-13 05:22:21 normalization > cast(_airbyte_emitted_at as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) >= (select max(cast(_airbyte_emitted_at as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > )) from `mansagroup-datascience`.hubspot_.`tickets`), 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > true) 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > ); 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 05:03:42.867370 [debug] [Thread-2 ]: 2022-04-13 05:22:21 normalization > In `mansagroup-datascience`.`hubspot_`.`property_history`: 2022-04-13 05:22:21 normalization > Schema changed: False 2022-04-13 05:22:21 normalization > Source columns not in target: [] 2022-04-13 05:22:21 normalization > Target columns not in source: [] 2022-04-13 05:22:21 normalization > New column types: [] 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 05:03:42.868956 [debug] [Thread-2 ]: Writing runtime SQL for node "model.airbyte_utils.property_history" 2022-04-13 05:22:21 normalization > 05:03:42.869355 [debug] [Thread-2 ]: On model.airbyte_utils.property_history: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.property_history"} */ 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > merge into `mansagroup-datascience`.hubspot_.`property_history` as DBT_INTERNAL_DEST 2022-04-13 05:22:21 normalization > using ( 2022-04-13 05:22:21 normalization > select * from `mansagroup-datascience`.hubspot_.`property_history__dbt_tmp` 2022-04-13 05:22:21 normalization > ) as DBT_INTERNAL_SOURCE 2022-04-13 05:22:21 normalization > on 2022-04-13 05:22:21 normalization > DBT_INTERNAL_SOURCE._airbyte_ab_id = DBT_INTERNAL_DEST._airbyte_ab_id 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > when matched then update set 2022-04-13 05:22:21 normalization > `vid` = DBT_INTERNAL_SOURCE.`vid`,`value` = DBT_INTERNAL_SOURCE.`value`,`property` = DBT_INTERNAL_SOURCE.`property`,`selected` = DBT_INTERNAL_SOURCE.`selected`,`source_id` = DBT_INTERNAL_SOURCE.`source_id`,`timestamp` = DBT_INTERNAL_SOURCE.`timestamp`,`source_type` = DBT_INTERNAL_SOURCE.`source_type`,`source_label` = DBT_INTERNAL_SOURCE.`source_label`,`updated_by_user_id` = DBT_INTERNAL_SOURCE.`updated_by_user_id`,`_airbyte_ab_id` = DBT_INTERNAL_SOURCE.`_airbyte_ab_id`,`_airbyte_emitted_at` = DBT_INTERNAL_SOURCE.`_airbyte_emitted_at`,`_airbyte_normalized_at` = DBT_INTERNAL_SOURCE.`_airbyte_normalized_at`,`_airbyte_property_history_hashid` = DBT_INTERNAL_SOURCE.`_airbyte_property_history_hashid` 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > when not matched then insert 2022-04-13 05:22:21 normalization > (`vid`, `value`, `property`, `selected`, `source_id`, `timestamp`, `source_type`, `source_label`, `updated_by_user_id`, `_airbyte_ab_id`, `_airbyte_emitted_at`, `_airbyte_normalized_at`, `_airbyte_property_history_hashid`) 2022-04-13 05:22:21 normalization > values 2022-04-13 05:22:21 normalization > (`vid`, `value`, `property`, `selected`, `source_id`, `timestamp`, `source_type`, `source_label`, `updated_by_user_id`, `_airbyte_ab_id`, `_airbyte_emitted_at`, `_airbyte_normalized_at`, `_airbyte_property_history_hashid`) 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 05:03:43.210713 [debug] [Thread-1 ]: 2022-04-13 05:22:21 normalization > In `mansagroup-datascience`.`hubspot_`.`line_items`: 2022-04-13 05:22:21 normalization > Schema changed: False 2022-04-13 05:22:21 normalization > Source columns not in target: [] 2022-04-13 05:22:21 normalization > Target columns not in source: [] 2022-04-13 05:22:21 normalization > New column types: [] 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 05:03:43.212173 [debug] [Thread-1 ]: Writing runtime SQL for node "model.airbyte_utils.line_items" 2022-04-13 05:22:21 normalization > 05:03:43.212561 [debug] [Thread-1 ]: On model.airbyte_utils.line_items: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.line_items"} */ 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > merge into `mansagroup-datascience`.hubspot_.`line_items` as DBT_INTERNAL_DEST 2022-04-13 05:22:21 normalization > using ( 2022-04-13 05:22:21 normalization > select * from `mansagroup-datascience`.hubspot_.`line_items__dbt_tmp` 2022-04-13 05:22:21 normalization > ) as DBT_INTERNAL_SOURCE 2022-04-13 05:22:21 normalization > on 2022-04-13 05:22:21 normalization > DBT_INTERNAL_SOURCE._airbyte_ab_id = DBT_INTERNAL_DEST._airbyte_ab_id 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > when matched then update set 2022-04-13 05:22:21 normalization > `id` = DBT_INTERNAL_SOURCE.`id`,`archived` = DBT_INTERNAL_SOURCE.`archived`,`createdAt` = DBT_INTERNAL_SOURCE.`createdAt`,`updatedAt` = DBT_INTERNAL_SOURCE.`updatedAt`,`properties` = DBT_INTERNAL_SOURCE.`properties`,`_airbyte_ab_id` = DBT_INTERNAL_SOURCE.`_airbyte_ab_id`,`_airbyte_emitted_at` = DBT_INTERNAL_SOURCE.`_airbyte_emitted_at`,`_airbyte_normalized_at` = DBT_INTERNAL_SOURCE.`_airbyte_normalized_at`,`_airbyte_line_items_hashid` = DBT_INTERNAL_SOURCE.`_airbyte_line_items_hashid` 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > when not matched then insert 2022-04-13 05:22:21 normalization > (`id`, `archived`, `createdAt`, `updatedAt`, `properties`, `_airbyte_ab_id`, `_airbyte_emitted_at`, `_airbyte_normalized_at`, `_airbyte_line_items_hashid`) 2022-04-13 05:22:21 normalization > values 2022-04-13 05:22:21 normalization > (`id`, `archived`, `createdAt`, `updatedAt`, `properties`, `_airbyte_ab_id`, `_airbyte_emitted_at`, `_airbyte_normalized_at`, `_airbyte_line_items_hashid`) 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 05:03:43.241518 [debug] [Thread-4 ]: 2022-04-13 05:22:21 normalization > In `mansagroup-datascience`.`hubspot_`.`tickets`: 2022-04-13 05:22:21 normalization > Schema changed: False 2022-04-13 05:22:21 normalization > Source columns not in target: [] 2022-04-13 05:22:21 normalization > Target columns not in source: [] 2022-04-13 05:22:21 normalization > New column types: [] 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 05:03:43.242578 [debug] [Thread-4 ]: Writing runtime SQL for node "model.airbyte_utils.tickets" 2022-04-13 05:22:21 normalization > 05:03:43.242916 [debug] [Thread-4 ]: On model.airbyte_utils.tickets: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.tickets"} */ 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > merge into `mansagroup-datascience`.hubspot_.`tickets` as DBT_INTERNAL_DEST 2022-04-13 05:22:21 normalization > using ( 2022-04-13 05:22:21 normalization > select * from `mansagroup-datascience`.hubspot_.`tickets__dbt_tmp` 2022-04-13 05:22:21 normalization > ) as DBT_INTERNAL_SOURCE 2022-04-13 05:22:21 normalization > on 2022-04-13 05:22:21 normalization > DBT_INTERNAL_SOURCE._airbyte_ab_id = DBT_INTERNAL_DEST._airbyte_ab_id 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > when matched then update set 2022-04-13 05:22:21 normalization > `id` = DBT_INTERNAL_SOURCE.`id`,`deals` = DBT_INTERNAL_SOURCE.`deals`,`archived` = DBT_INTERNAL_SOURCE.`archived`,`contacts` = DBT_INTERNAL_SOURCE.`contacts`,`companies` = DBT_INTERNAL_SOURCE.`companies`,`createdAt` = DBT_INTERNAL_SOURCE.`createdAt`,`updatedAt` = DBT_INTERNAL_SOURCE.`updatedAt`,`properties` = DBT_INTERNAL_SOURCE.`properties`,`_airbyte_ab_id` = DBT_INTERNAL_SOURCE.`_airbyte_ab_id`,`_airbyte_emitted_at` = DBT_INTERNAL_SOURCE.`_airbyte_emitted_at`,`_airbyte_normalized_at` = DBT_INTERNAL_SOURCE.`_airbyte_normalized_at`,`_airbyte_tickets_hashid` = DBT_INTERNAL_SOURCE.`_airbyte_tickets_hashid` 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > when not matched then insert 2022-04-13 05:22:21 normalization > (`id`, `deals`, `archived`, `contacts`, `companies`, `createdAt`, `updatedAt`, `properties`, `_airbyte_ab_id`, `_airbyte_emitted_at`, `_airbyte_normalized_at`, `_airbyte_tickets_hashid`) 2022-04-13 05:22:21 normalization > values 2022-04-13 05:22:21 normalization > (`id`, `deals`, `archived`, `contacts`, `companies`, `createdAt`, `updatedAt`, `properties`, `_airbyte_ab_id`, `_airbyte_emitted_at`, `_airbyte_normalized_at`, `_airbyte_tickets_hashid`) 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 05:03:45.075085 [debug] [Thread-2 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:45.075782 [info ] [Thread-2 ]: 24 of 77 OK created incremental model hubspot_.property_history......................................................... [MERGE (0.0 rows, 0 processed) in 4.69s] 2022-04-13 05:22:21 normalization > 05:03:45.076240 [debug] [Thread-2 ]: Finished running node model.airbyte_utils.property_history 2022-04-13 05:22:21 normalization > 05:03:45.076455 [debug] [Thread-2 ]: Began running node model.airbyte_utils.campaigns_counters_ab1 2022-04-13 05:22:21 normalization > 05:03:45.077030 [debug] [Thread-2 ]: Acquiring new bigquery connection "model.airbyte_utils.campaigns_counters_ab1" 2022-04-13 05:22:21 normalization > 05:03:45.077240 [debug] [Thread-2 ]: Began compiling node model.airbyte_utils.campaigns_counters_ab1 2022-04-13 05:22:21 normalization > 05:03:45.077407 [debug] [Thread-2 ]: Compiling model.airbyte_utils.campaigns_counters_ab1 2022-04-13 05:22:21 normalization > 05:03:45.093245 [debug] [Thread-2 ]: Writing injected SQL for node "model.airbyte_utils.campaigns_counters_ab1" 2022-04-13 05:22:21 normalization > 05:03:45.093577 [debug] [Thread-2 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:45.093929 [debug] [Thread-2 ]: Finished running node model.airbyte_utils.campaigns_counters_ab1 2022-04-13 05:22:21 normalization > 05:03:45.094142 [debug] [Thread-2 ]: Began running node model.airbyte_utils.deal_pipelines_stages_ab1 2022-04-13 05:22:21 normalization > 05:03:45.094778 [debug] [Thread-2 ]: Acquiring new bigquery connection "model.airbyte_utils.deal_pipelines_stages_ab1" 2022-04-13 05:22:21 normalization > 05:03:45.094981 [debug] [Thread-2 ]: Began compiling node model.airbyte_utils.deal_pipelines_stages_ab1 2022-04-13 05:22:21 normalization > 05:03:45.095137 [debug] [Thread-2 ]: Compiling model.airbyte_utils.deal_pipelines_stages_ab1 2022-04-13 05:22:21 normalization > 05:03:45.108582 [debug] [Thread-2 ]: Writing injected SQL for node "model.airbyte_utils.deal_pipelines_stages_ab1" 2022-04-13 05:22:21 normalization > 05:03:45.108893 [debug] [Thread-2 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:45.109264 [debug] [Thread-2 ]: Finished running node model.airbyte_utils.deal_pipelines_stages_ab1 2022-04-13 05:22:21 normalization > 05:03:45.109477 [debug] [Thread-2 ]: Began running node model.airbyte_utils.companies_properties_ab1 2022-04-13 05:22:21 normalization > 05:03:45.110178 [debug] [Thread-2 ]: Acquiring new bigquery connection "model.airbyte_utils.companies_properties_ab1" 2022-04-13 05:22:21 normalization > 05:03:45.110481 [debug] [Thread-2 ]: Began compiling node model.airbyte_utils.companies_properties_ab1 2022-04-13 05:22:21 normalization > 05:03:45.110671 [debug] [Thread-2 ]: Compiling model.airbyte_utils.companies_properties_ab1 2022-04-13 05:22:21 normalization > 05:03:45.233491 [debug] [Thread-2 ]: On "model.airbyte_utils.companies_properties_ab1": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:21 normalization > 05:03:45.233733 [debug] [Thread-2 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:45.416138 [debug] [Thread-1 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:45.416728 [info ] [Thread-1 ]: 25 of 77 OK created incremental model hubspot_.line_items............................................................... [MERGE (0.0 rows, 0 processed) in 4.64s] 2022-04-13 05:22:21 normalization > 05:03:45.417163 [debug] [Thread-1 ]: Finished running node model.airbyte_utils.line_items 2022-04-13 05:22:21 normalization > 05:03:45.417424 [debug] [Thread-1 ]: Began running node model.airbyte_utils.form_submissions_values_ab1 2022-04-13 05:22:21 normalization > 05:03:45.418143 [debug] [Thread-1 ]: Acquiring new bigquery connection "model.airbyte_utils.form_submissions_values_ab1" 2022-04-13 05:22:21 normalization > 05:03:45.418348 [debug] [Thread-1 ]: Began compiling node model.airbyte_utils.form_submissions_values_ab1 2022-04-13 05:22:21 normalization > 05:03:45.418507 [debug] [Thread-1 ]: Compiling model.airbyte_utils.form_submissions_values_ab1 2022-04-13 05:22:21 normalization > 05:03:45.426892 [debug] [Thread-1 ]: Writing injected SQL for node "model.airbyte_utils.form_submissions_values_ab1" 2022-04-13 05:22:21 normalization > 05:03:45.427236 [debug] [Thread-1 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:45.427593 [debug] [Thread-1 ]: Finished running node model.airbyte_utils.form_submissions_values_ab1 2022-04-13 05:22:21 normalization > 05:03:45.427802 [debug] [Thread-1 ]: Began running node model.airbyte_utils.forms_configuration_ab1 2022-04-13 05:22:21 normalization > 05:03:45.428307 [debug] [Thread-1 ]: Acquiring new bigquery connection "model.airbyte_utils.forms_configuration_ab1" 2022-04-13 05:22:21 normalization > 05:03:45.428564 [debug] [Thread-1 ]: Began compiling node model.airbyte_utils.forms_configuration_ab1 2022-04-13 05:22:21 normalization > 05:03:45.428729 [debug] [Thread-1 ]: Compiling model.airbyte_utils.forms_configuration_ab1 2022-04-13 05:22:21 normalization > 05:03:45.440961 [debug] [Thread-1 ]: Writing injected SQL for node "model.airbyte_utils.forms_configuration_ab1" 2022-04-13 05:22:21 normalization > 05:03:45.441284 [debug] [Thread-1 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:45.441625 [debug] [Thread-1 ]: Finished running node model.airbyte_utils.forms_configuration_ab1 2022-04-13 05:22:21 normalization > 05:03:45.441827 [debug] [Thread-1 ]: Began running node model.airbyte_utils.forms_displayOptions_ab1 2022-04-13 05:22:21 normalization > 05:03:45.442329 [debug] [Thread-1 ]: Acquiring new bigquery connection "model.airbyte_utils.forms_displayOptions_ab1" 2022-04-13 05:22:21 normalization > 05:03:45.442589 [debug] [Thread-1 ]: Began compiling node model.airbyte_utils.forms_displayOptions_ab1 2022-04-13 05:22:21 normalization > 05:03:45.442745 [debug] [Thread-1 ]: Compiling model.airbyte_utils.forms_displayOptions_ab1 2022-04-13 05:22:21 normalization > 05:03:45.449809 [debug] [Thread-1 ]: Writing injected SQL for node "model.airbyte_utils.forms_displayOptions_ab1" 2022-04-13 05:22:21 normalization > 05:03:45.450094 [debug] [Thread-1 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:45.450453 [debug] [Thread-1 ]: Finished running node model.airbyte_utils.forms_displayOptions_ab1 2022-04-13 05:22:21 normalization > 05:03:45.450657 [debug] [Thread-1 ]: Began running node model.airbyte_utils.forms_fieldGroups_ab1 2022-04-13 05:22:21 normalization > 05:03:45.451122 [debug] [Thread-1 ]: Acquiring new bigquery connection "model.airbyte_utils.forms_fieldGroups_ab1" 2022-04-13 05:22:21 normalization > 05:03:45.451397 [debug] [Thread-1 ]: Began compiling node model.airbyte_utils.forms_fieldGroups_ab1 2022-04-13 05:22:21 normalization > 05:03:45.451551 [debug] [Thread-1 ]: Compiling model.airbyte_utils.forms_fieldGroups_ab1 2022-04-13 05:22:21 normalization > 05:03:45.459444 [debug] [Thread-1 ]: Writing injected SQL for node "model.airbyte_utils.forms_fieldGroups_ab1" 2022-04-13 05:22:21 normalization > 05:03:45.459728 [debug] [Thread-1 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:45.460062 [debug] [Thread-1 ]: Finished running node model.airbyte_utils.forms_fieldGroups_ab1 2022-04-13 05:22:21 normalization > 05:03:45.460288 [debug] [Thread-1 ]: Began running node model.airbyte_utils.forms_properties_ab1 2022-04-13 05:22:21 normalization > 05:03:45.460739 [debug] [Thread-1 ]: Acquiring new bigquery connection "model.airbyte_utils.forms_properties_ab1" 2022-04-13 05:22:21 normalization > 05:03:45.460991 [debug] [Thread-1 ]: Began compiling node model.airbyte_utils.forms_properties_ab1 2022-04-13 05:22:21 normalization > 05:03:45.461146 [debug] [Thread-1 ]: Compiling model.airbyte_utils.forms_properties_ab1 2022-04-13 05:22:21 normalization > 05:03:45.478698 [debug] [Thread-1 ]: Writing injected SQL for node "model.airbyte_utils.forms_properties_ab1" 2022-04-13 05:22:21 normalization > 05:03:45.478983 [debug] [Thread-1 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:45.479349 [debug] [Thread-1 ]: Finished running node model.airbyte_utils.forms_properties_ab1 2022-04-13 05:22:21 normalization > 05:03:45.479556 [debug] [Thread-1 ]: Began running node model.airbyte_utils.owners_teams_ab1 2022-04-13 05:22:21 normalization > 05:03:45.480001 [debug] [Thread-1 ]: Acquiring new bigquery connection "model.airbyte_utils.owners_teams_ab1" 2022-04-13 05:22:21 normalization > 05:03:45.480277 [debug] [Thread-1 ]: Began compiling node model.airbyte_utils.owners_teams_ab1 2022-04-13 05:22:21 normalization > 05:03:45.480439 [debug] [Thread-1 ]: Compiling model.airbyte_utils.owners_teams_ab1 2022-04-13 05:22:21 normalization > 05:03:45.488468 [debug] [Thread-1 ]: Writing injected SQL for node "model.airbyte_utils.owners_teams_ab1" 2022-04-13 05:22:21 normalization > 05:03:45.488753 [debug] [Thread-1 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:45.489094 [debug] [Thread-1 ]: Finished running node model.airbyte_utils.owners_teams_ab1 2022-04-13 05:22:21 normalization > 05:03:45.489331 [debug] [Thread-1 ]: Began running node model.airbyte_utils.workflows_contactListIds_ab1 2022-04-13 05:22:21 normalization > 05:03:45.489774 [debug] [Thread-1 ]: Acquiring new bigquery connection "model.airbyte_utils.workflows_contactListIds_ab1" 2022-04-13 05:22:21 normalization > 05:03:45.490056 [debug] [Thread-1 ]: Began compiling node model.airbyte_utils.workflows_contactListIds_ab1 2022-04-13 05:22:21 normalization > 05:03:45.490230 [debug] [Thread-1 ]: Compiling model.airbyte_utils.workflows_contactListIds_ab1 2022-04-13 05:22:21 normalization > 05:03:45.496293 [debug] [Thread-1 ]: Writing injected SQL for node "model.airbyte_utils.workflows_contactListIds_ab1" 2022-04-13 05:22:21 normalization > 05:03:45.496590 [debug] [Thread-1 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:45.496926 [debug] [Thread-1 ]: Finished running node model.airbyte_utils.workflows_contactListIds_ab1 2022-04-13 05:22:21 normalization > 05:03:45.497130 [debug] [Thread-1 ]: Began running node model.airbyte_utils.ticket_pipelines_stages_ab1 2022-04-13 05:22:21 normalization > 05:03:45.497465 [debug] [Thread-1 ]: Finished running node model.airbyte_utils.ticket_pipelines_stages_ab1 2022-04-13 05:22:21 normalization > 05:03:45.497720 [debug] [Thread-1 ]: Began running node model.airbyte_utils.marketing_emails_stats_ab1 2022-04-13 05:22:21 normalization > 05:03:45.498153 [debug] [Thread-1 ]: Acquiring new bigquery connection "model.airbyte_utils.marketing_emails_stats_ab1" 2022-04-13 05:22:21 normalization > 05:03:45.498418 [debug] [Thread-1 ]: Began compiling node model.airbyte_utils.marketing_emails_stats_ab1 2022-04-13 05:22:21 normalization > 05:03:45.498570 [debug] [Thread-1 ]: Compiling model.airbyte_utils.marketing_emails_stats_ab1 2022-04-13 05:22:21 normalization > 05:03:45.506072 [debug] [Thread-1 ]: Writing injected SQL for node "model.airbyte_utils.marketing_emails_stats_ab1" 2022-04-13 05:22:21 normalization > 05:03:45.506368 [debug] [Thread-1 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:45.506701 [debug] [Thread-1 ]: Finished running node model.airbyte_utils.marketing_emails_stats_ab1 2022-04-13 05:22:21 normalization > 05:03:45.506903 [debug] [Thread-1 ]: Began running node model.airbyte_utils.contact_lists_filters_ab1 2022-04-13 05:22:21 normalization > 05:03:45.507361 [debug] [Thread-1 ]: Acquiring new bigquery connection "model.airbyte_utils.contact_lists_filters_ab1" 2022-04-13 05:22:21 normalization > 05:03:45.507613 [debug] [Thread-1 ]: Began compiling node model.airbyte_utils.contact_lists_filters_ab1 2022-04-13 05:22:21 normalization > 05:03:45.507773 [debug] [Thread-1 ]: Compiling model.airbyte_utils.contact_lists_filters_ab1 2022-04-13 05:22:21 normalization > 05:03:45.520902 [debug] [Thread-1 ]: On "model.airbyte_utils.contact_lists_filters_ab1": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:21 normalization > 05:03:45.521097 [debug] [Thread-1 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:45.561467 [debug] [Thread-2 ]: Writing injected SQL for node "model.airbyte_utils.companies_properties_ab1" 2022-04-13 05:22:21 normalization > 05:03:45.561791 [debug] [Thread-2 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:45.562154 [debug] [Thread-2 ]: Finished running node model.airbyte_utils.companies_properties_ab1 2022-04-13 05:22:21 normalization > 05:03:45.562389 [debug] [Thread-2 ]: Began running node model.airbyte_utils.contact_lists_metaData_ab1 2022-04-13 05:22:21 normalization > 05:03:45.562902 [debug] [Thread-2 ]: Acquiring new bigquery connection "model.airbyte_utils.contact_lists_metaData_ab1" 2022-04-13 05:22:21 normalization > 05:03:45.563202 [debug] [Thread-2 ]: Began compiling node model.airbyte_utils.contact_lists_metaData_ab1 2022-04-13 05:22:21 normalization > 05:03:45.563372 [debug] [Thread-2 ]: Compiling model.airbyte_utils.contact_lists_metaData_ab1 2022-04-13 05:22:21 normalization > 05:03:45.571252 [debug] [Thread-2 ]: On "model.airbyte_utils.contact_lists_metaData_ab1": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:21 normalization > 05:03:45.571498 [debug] [Thread-2 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:45.830906 [debug] [Thread-2 ]: Writing injected SQL for node "model.airbyte_utils.contact_lists_metaData_ab1" 2022-04-13 05:22:21 normalization > 05:03:45.831356 [debug] [Thread-2 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:45.831858 [debug] [Thread-2 ]: Finished running node model.airbyte_utils.contact_lists_metaData_ab1 2022-04-13 05:22:21 normalization > 05:03:45.832088 [debug] [Thread-2 ]: Began running node model.airbyte_utils.engagements_calls_properties_ab1 2022-04-13 05:22:21 normalization > 05:03:45.832722 [debug] [Thread-2 ]: Acquiring new bigquery connection "model.airbyte_utils.engagements_calls_properties_ab1" 2022-04-13 05:22:21 normalization > 05:03:45.833065 [debug] [Thread-2 ]: Began compiling node model.airbyte_utils.engagements_calls_properties_ab1 2022-04-13 05:22:21 normalization > 05:03:45.833273 [debug] [Thread-2 ]: Compiling model.airbyte_utils.engagements_calls_properties_ab1 2022-04-13 05:22:21 normalization > 05:03:45.871251 [debug] [Thread-1 ]: Writing injected SQL for node "model.airbyte_utils.contact_lists_filters_ab1" 2022-04-13 05:22:21 normalization > 05:03:45.877054 [debug] [Thread-2 ]: On "model.airbyte_utils.engagements_calls_properties_ab1": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:21 normalization > 05:03:45.877310 [debug] [Thread-2 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:45.877624 [debug] [Thread-1 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:45.879858 [debug] [Thread-1 ]: Finished running node model.airbyte_utils.contact_lists_filters_ab1 2022-04-13 05:22:21 normalization > 05:03:45.880084 [debug] [Thread-1 ]: Began running node model.airbyte_utils.quotes_properties_ab1 2022-04-13 05:22:21 normalization > 05:03:45.880592 [debug] [Thread-1 ]: Acquiring new bigquery connection "model.airbyte_utils.quotes_properties_ab1" 2022-04-13 05:22:21 normalization > 05:03:45.880890 [debug] [Thread-1 ]: Began compiling node model.airbyte_utils.quotes_properties_ab1 2022-04-13 05:22:21 normalization > 05:03:45.881058 [debug] [Thread-1 ]: Compiling model.airbyte_utils.quotes_properties_ab1 2022-04-13 05:22:21 normalization > 05:03:45.947688 [debug] [Thread-1 ]: On "model.airbyte_utils.quotes_properties_ab1": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:21 normalization > 05:03:45.947893 [debug] [Thread-1 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:46.044336 [debug] [Thread-4 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:46.044896 [info ] [Thread-4 ]: 26 of 77 OK created incremental model hubspot_.tickets.................................................................. [MERGE (87.0 rows, 305.0 KB processed) in 5.24s] 2022-04-13 05:22:21 normalization > 05:03:46.045324 [debug] [Thread-4 ]: Finished running node model.airbyte_utils.tickets 2022-04-13 05:22:21 normalization > 05:03:46.045525 [debug] [Thread-4 ]: Began running node model.airbyte_utils.engagements_meetings_properties_ab1 2022-04-13 05:22:21 normalization > 05:03:46.046078 [debug] [Thread-4 ]: Acquiring new bigquery connection "model.airbyte_utils.engagements_meetings_properties_ab1" 2022-04-13 05:22:21 normalization > 05:03:46.046400 [debug] [Thread-4 ]: Began compiling node model.airbyte_utils.engagements_meetings_properties_ab1 2022-04-13 05:22:21 normalization > 05:03:46.046576 [debug] [Thread-4 ]: Compiling model.airbyte_utils.engagements_meetings_properties_ab1 2022-04-13 05:22:21 normalization > 05:03:46.085897 [debug] [Thread-4 ]: On "model.airbyte_utils.engagements_meetings_properties_ab1": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:21 normalization > 05:03:46.086093 [debug] [Thread-4 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:46.232096 [debug] [Thread-2 ]: Writing injected SQL for node "model.airbyte_utils.engagements_calls_properties_ab1" 2022-04-13 05:22:21 normalization > 05:03:46.232484 [debug] [Thread-2 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:46.232881 [debug] [Thread-2 ]: Finished running node model.airbyte_utils.engagements_calls_properties_ab1 2022-04-13 05:22:21 normalization > 05:03:46.233100 [debug] [Thread-2 ]: Began running node model.airbyte_utils.subscription_changes_changes_ab1 2022-04-13 05:22:21 normalization > 05:03:46.233674 [debug] [Thread-2 ]: Acquiring new bigquery connection "model.airbyte_utils.subscription_changes_changes_ab1" 2022-04-13 05:22:21 normalization > 05:03:46.233984 [debug] [Thread-2 ]: Began compiling node model.airbyte_utils.subscription_changes_changes_ab1 2022-04-13 05:22:21 normalization > 05:03:46.234152 [debug] [Thread-2 ]: Compiling model.airbyte_utils.subscription_changes_changes_ab1 2022-04-13 05:22:21 normalization > 05:03:46.247471 [debug] [Thread-2 ]: On "model.airbyte_utils.subscription_changes_changes_ab1": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:21 normalization > 05:03:46.247747 [debug] [Thread-2 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:46.248279 [debug] [Thread-1 ]: Writing injected SQL for node "model.airbyte_utils.quotes_properties_ab1" 2022-04-13 05:22:21 normalization > 05:03:46.248633 [debug] [Thread-1 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:46.248997 [debug] [Thread-1 ]: Finished running node model.airbyte_utils.quotes_properties_ab1 2022-04-13 05:22:21 normalization > 05:03:46.249229 [debug] [Thread-1 ]: Began running node model.airbyte_utils.contacts_properties_ab1 2022-04-13 05:22:21 normalization > 05:03:46.249759 [debug] [Thread-1 ]: Acquiring new bigquery connection "model.airbyte_utils.contacts_properties_ab1" 2022-04-13 05:22:21 normalization > 05:03:46.250043 [debug] [Thread-1 ]: Began compiling node model.airbyte_utils.contacts_properties_ab1 2022-04-13 05:22:21 normalization > 05:03:46.250244 [debug] [Thread-1 ]: Compiling model.airbyte_utils.contacts_properties_ab1 2022-04-13 05:22:21 normalization > 05:03:46.392304 [debug] [Thread-4 ]: Writing injected SQL for node "model.airbyte_utils.engagements_meetings_properties_ab1" 2022-04-13 05:22:21 normalization > 05:03:46.394302 [debug] [Thread-4 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:46.395029 [debug] [Thread-4 ]: Finished running node model.airbyte_utils.engagements_meetings_properties_ab1 2022-04-13 05:22:21 normalization > 05:03:46.395308 [debug] [Thread-4 ]: Began running node model.airbyte_utils.deals_dealstage_ab1 2022-04-13 05:22:21 normalization > 05:03:46.395929 [debug] [Thread-4 ]: Acquiring new bigquery connection "model.airbyte_utils.deals_dealstage_ab1" 2022-04-13 05:22:21 normalization > 05:03:46.396346 [debug] [Thread-4 ]: Began compiling node model.airbyte_utils.deals_dealstage_ab1 2022-04-13 05:22:21 normalization > 05:03:46.396615 [debug] [Thread-4 ]: Compiling model.airbyte_utils.deals_dealstage_ab1 2022-04-13 05:22:21 normalization > 05:03:46.404052 [debug] [Thread-4 ]: On "model.airbyte_utils.deals_dealstage_ab1": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:21 normalization > 05:03:46.405101 [debug] [Thread-4 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:46.675530 [debug] [Thread-1 ]: On "model.airbyte_utils.contacts_properties_ab1": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:21 normalization > 05:03:46.675800 [debug] [Thread-1 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:46.725235 [debug] [Thread-2 ]: Writing injected SQL for node "model.airbyte_utils.subscription_changes_changes_ab1" 2022-04-13 05:22:21 normalization > 05:03:46.725607 [debug] [Thread-2 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:46.726038 [debug] [Thread-2 ]: Finished running node model.airbyte_utils.subscription_changes_changes_ab1 2022-04-13 05:22:21 normalization > 05:03:46.726276 [debug] [Thread-2 ]: Began running node model.airbyte_utils.deals_properties_ab1 2022-04-13 05:22:21 normalization > 05:03:46.726859 [debug] [Thread-2 ]: Acquiring new bigquery connection "model.airbyte_utils.deals_properties_ab1" 2022-04-13 05:22:21 normalization > 05:03:46.727175 [debug] [Thread-2 ]: Began compiling node model.airbyte_utils.deals_properties_ab1 2022-04-13 05:22:21 normalization > 05:03:46.727363 [debug] [Thread-2 ]: Compiling model.airbyte_utils.deals_properties_ab1 2022-04-13 05:22:21 normalization > 05:03:46.873935 [debug] [Thread-1 ]: Writing injected SQL for node "model.airbyte_utils.contacts_properties_ab1" 2022-04-13 05:22:21 normalization > 05:03:46.889971 [debug] [Thread-4 ]: Writing injected SQL for node "model.airbyte_utils.deals_dealstage_ab1" 2022-04-13 05:22:21 normalization > 05:03:46.890307 [debug] [Thread-1 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:46.906387 [debug] [Thread-1 ]: Finished running node model.airbyte_utils.contacts_properties_ab1 2022-04-13 05:22:21 normalization > 05:03:46.916955 [debug] [Thread-1 ]: Began running node model.airbyte_utils.products_properties_ab1 2022-04-13 05:22:21 normalization > 05:03:46.927441 [debug] [Thread-4 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:46.927840 [debug] [Thread-1 ]: Acquiring new bigquery connection "model.airbyte_utils.products_properties_ab1" 2022-04-13 05:22:21 normalization > 05:03:46.948351 [debug] [Thread-4 ]: Finished running node model.airbyte_utils.deals_dealstage_ab1 2022-04-13 05:22:21 normalization > 05:03:46.970378 [debug] [Thread-2 ]: On "model.airbyte_utils.deals_properties_ab1": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:21 normalization > 05:03:46.970613 [debug] [Thread-1 ]: Began compiling node model.airbyte_utils.products_properties_ab1 2022-04-13 05:22:21 normalization > 05:03:46.970904 [debug] [Thread-4 ]: Began running node model.airbyte_utils.campaigns_counters_ab2 2022-04-13 05:22:21 normalization > 05:03:46.971422 [debug] [Thread-2 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:46.971664 [debug] [Thread-1 ]: Compiling model.airbyte_utils.products_properties_ab1 2022-04-13 05:22:21 normalization > 05:03:46.972060 [debug] [Thread-4 ]: Acquiring new bigquery connection "model.airbyte_utils.campaigns_counters_ab2" 2022-04-13 05:22:21 normalization > 05:03:46.982834 [debug] [Thread-4 ]: Began compiling node model.airbyte_utils.campaigns_counters_ab2 2022-04-13 05:22:21 normalization > 05:03:46.995582 [debug] [Thread-4 ]: Compiling model.airbyte_utils.campaigns_counters_ab2 2022-04-13 05:22:21 normalization > 05:03:47.002142 [debug] [Thread-1 ]: On "model.airbyte_utils.products_properties_ab1": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:21 normalization > 05:03:47.012757 [debug] [Thread-1 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:47.028498 [debug] [Thread-4 ]: Writing injected SQL for node "model.airbyte_utils.campaigns_counters_ab2" 2022-04-13 05:22:21 normalization > 05:03:47.028944 [debug] [Thread-4 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:47.029345 [debug] [Thread-4 ]: Finished running node model.airbyte_utils.campaigns_counters_ab2 2022-04-13 05:22:21 normalization > 05:03:47.029629 [debug] [Thread-4 ]: Began running node model.airbyte_utils.deal_pipelines_stages_ab2 2022-04-13 05:22:21 normalization > 05:03:47.030405 [debug] [Thread-4 ]: Acquiring new bigquery connection "model.airbyte_utils.deal_pipelines_stages_ab2" 2022-04-13 05:22:21 normalization > 05:03:47.030789 [debug] [Thread-4 ]: Began compiling node model.airbyte_utils.deal_pipelines_stages_ab2 2022-04-13 05:22:21 normalization > 05:03:47.030988 [debug] [Thread-4 ]: Compiling model.airbyte_utils.deal_pipelines_stages_ab2 2022-04-13 05:22:21 normalization > 05:03:47.046040 [debug] [Thread-4 ]: Writing injected SQL for node "model.airbyte_utils.deal_pipelines_stages_ab2" 2022-04-13 05:22:21 normalization > 05:03:47.047350 [debug] [Thread-4 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:47.047726 [debug] [Thread-4 ]: Finished running node model.airbyte_utils.deal_pipelines_stages_ab2 2022-04-13 05:22:21 normalization > 05:03:47.047939 [debug] [Thread-4 ]: Began running node model.airbyte_utils.line_items_properties_ab1 2022-04-13 05:22:21 normalization > 05:03:47.048767 [debug] [Thread-4 ]: Acquiring new bigquery connection "model.airbyte_utils.line_items_properties_ab1" 2022-04-13 05:22:21 normalization > 05:03:47.050518 [debug] [Thread-4 ]: Began compiling node model.airbyte_utils.line_items_properties_ab1 2022-04-13 05:22:21 normalization > 05:03:47.050793 [debug] [Thread-4 ]: Compiling model.airbyte_utils.line_items_properties_ab1 2022-04-13 05:22:21 normalization > 05:03:47.091059 [debug] [Thread-4 ]: On "model.airbyte_utils.line_items_properties_ab1": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:21 normalization > 05:03:47.091499 [debug] [Thread-4 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:47.347905 [debug] [Thread-4 ]: Writing injected SQL for node "model.airbyte_utils.line_items_properties_ab1" 2022-04-13 05:22:21 normalization > 05:03:47.348319 [debug] [Thread-4 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:47.348767 [debug] [Thread-4 ]: Finished running node model.airbyte_utils.line_items_properties_ab1 2022-04-13 05:22:21 normalization > 05:03:47.348990 [debug] [Thread-4 ]: Began running node model.airbyte_utils.form_submissions_values_ab2 2022-04-13 05:22:21 normalization > 05:03:47.349587 [debug] [Thread-4 ]: Acquiring new bigquery connection "model.airbyte_utils.form_submissions_values_ab2" 2022-04-13 05:22:21 normalization > 05:03:47.349909 [debug] [Thread-4 ]: Began compiling node model.airbyte_utils.form_submissions_values_ab2 2022-04-13 05:22:21 normalization > 05:03:47.350095 [debug] [Thread-4 ]: Compiling model.airbyte_utils.form_submissions_values_ab2 2022-04-13 05:22:21 normalization > 05:03:47.360524 [debug] [Thread-4 ]: Writing injected SQL for node "model.airbyte_utils.form_submissions_values_ab2" 2022-04-13 05:22:21 normalization > 05:03:47.360828 [debug] [Thread-4 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:47.361180 [debug] [Thread-4 ]: Finished running node model.airbyte_utils.form_submissions_values_ab2 2022-04-13 05:22:21 normalization > 05:03:47.361437 [debug] [Thread-4 ]: Began running node model.airbyte_utils.forms_configuration_ab2 2022-04-13 05:22:21 normalization > 05:03:47.362080 [debug] [Thread-4 ]: Acquiring new bigquery connection "model.airbyte_utils.forms_configuration_ab2" 2022-04-13 05:22:21 normalization > 05:03:47.362285 [debug] [Thread-4 ]: Began compiling node model.airbyte_utils.forms_configuration_ab2 2022-04-13 05:22:21 normalization > 05:03:47.362442 [debug] [Thread-4 ]: Compiling model.airbyte_utils.forms_configuration_ab2 2022-04-13 05:22:21 normalization > 05:03:47.383024 [debug] [Thread-4 ]: Writing injected SQL for node "model.airbyte_utils.forms_configuration_ab2" 2022-04-13 05:22:21 normalization > 05:03:47.383501 [debug] [Thread-2 ]: Writing injected SQL for node "model.airbyte_utils.deals_properties_ab1" 2022-04-13 05:22:21 normalization > 05:03:47.383953 [debug] [Thread-1 ]: Writing injected SQL for node "model.airbyte_utils.products_properties_ab1" 2022-04-13 05:22:21 normalization > 05:03:47.384445 [debug] [Thread-4 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:47.384804 [debug] [Thread-2 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:47.385178 [debug] [Thread-4 ]: Finished running node model.airbyte_utils.forms_configuration_ab2 2022-04-13 05:22:21 normalization > 05:03:47.385691 [debug] [Thread-2 ]: Finished running node model.airbyte_utils.deals_properties_ab1 2022-04-13 05:22:21 normalization > 05:03:47.385871 [debug] [Thread-1 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:47.386134 [debug] [Thread-4 ]: Began running node model.airbyte_utils.forms_displayOptions_ab2 2022-04-13 05:22:21 normalization > 05:03:47.386708 [debug] [Thread-2 ]: Began running node model.airbyte_utils.forms_fieldGroups_ab2 2022-04-13 05:22:21 normalization > 05:03:47.387300 [debug] [Thread-1 ]: Finished running node model.airbyte_utils.products_properties_ab1 2022-04-13 05:22:21 normalization > 05:03:47.387817 [debug] [Thread-4 ]: Acquiring new bigquery connection "model.airbyte_utils.forms_displayOptions_ab2" 2022-04-13 05:22:21 normalization > 05:03:47.388237 [debug] [Thread-2 ]: Acquiring new bigquery connection "model.airbyte_utils.forms_fieldGroups_ab2" 2022-04-13 05:22:21 normalization > 05:03:47.388503 [debug] [Thread-1 ]: Began running node model.airbyte_utils.forms_properties_ab2 2022-04-13 05:22:21 normalization > 05:03:47.388873 [debug] [Thread-4 ]: Began compiling node model.airbyte_utils.forms_displayOptions_ab2 2022-04-13 05:22:21 normalization > 05:03:47.389189 [debug] [Thread-2 ]: Began compiling node model.airbyte_utils.forms_fieldGroups_ab2 2022-04-13 05:22:21 normalization > 05:03:47.389585 [debug] [Thread-1 ]: Acquiring new bigquery connection "model.airbyte_utils.forms_properties_ab2" 2022-04-13 05:22:21 normalization > 05:03:47.389807 [debug] [Thread-4 ]: Compiling model.airbyte_utils.forms_displayOptions_ab2 2022-04-13 05:22:21 normalization > 05:03:47.390018 [debug] [Thread-2 ]: Compiling model.airbyte_utils.forms_fieldGroups_ab2 2022-04-13 05:22:21 normalization > 05:03:47.390233 [debug] [Thread-1 ]: Began compiling node model.airbyte_utils.forms_properties_ab2 2022-04-13 05:22:21 normalization > 05:03:47.400987 [debug] [Thread-4 ]: Writing injected SQL for node "model.airbyte_utils.forms_displayOptions_ab2" 2022-04-13 05:22:21 normalization > 05:03:47.409796 [debug] [Thread-2 ]: Writing injected SQL for node "model.airbyte_utils.forms_fieldGroups_ab2" 2022-04-13 05:22:21 normalization > 05:03:47.410006 [debug] [Thread-1 ]: Compiling model.airbyte_utils.forms_properties_ab2 2022-04-13 05:22:21 normalization > 05:03:47.410483 [debug] [Thread-4 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:47.410754 [debug] [Thread-2 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:47.431602 [debug] [Thread-4 ]: Finished running node model.airbyte_utils.forms_displayOptions_ab2 2022-04-13 05:22:21 normalization > 05:03:47.440100 [debug] [Thread-1 ]: Writing injected SQL for node "model.airbyte_utils.forms_properties_ab2" 2022-04-13 05:22:21 normalization > 05:03:47.440572 [debug] [Thread-2 ]: Finished running node model.airbyte_utils.forms_fieldGroups_ab2 2022-04-13 05:22:21 normalization > 05:03:47.440832 [debug] [Thread-4 ]: Began running node model.airbyte_utils.owners_teams_ab2 2022-04-13 05:22:21 normalization > 05:03:47.441410 [debug] [Thread-2 ]: Began running node model.airbyte_utils.workflows_contactListIds_ab2 2022-04-13 05:22:21 normalization > 05:03:47.441930 [debug] [Thread-1 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:47.442430 [debug] [Thread-4 ]: Acquiring new bigquery connection "model.airbyte_utils.owners_teams_ab2" 2022-04-13 05:22:21 normalization > 05:03:47.442830 [debug] [Thread-2 ]: Acquiring new bigquery connection "model.airbyte_utils.workflows_contactListIds_ab2" 2022-04-13 05:22:21 normalization > 05:03:47.443288 [debug] [Thread-1 ]: Finished running node model.airbyte_utils.forms_properties_ab2 2022-04-13 05:22:21 normalization > 05:03:47.443510 [debug] [Thread-4 ]: Began compiling node model.airbyte_utils.owners_teams_ab2 2022-04-13 05:22:21 normalization > 05:03:47.443728 [debug] [Thread-2 ]: Began compiling node model.airbyte_utils.workflows_contactListIds_ab2 2022-04-13 05:22:21 normalization > 05:03:47.443976 [debug] [Thread-1 ]: Began running node model.airbyte_utils.ticket_pipelines_stages_ab2 2022-04-13 05:22:21 normalization > 05:03:47.444352 [debug] [Thread-4 ]: Compiling model.airbyte_utils.owners_teams_ab2 2022-04-13 05:22:21 normalization > 05:03:47.444647 [debug] [Thread-2 ]: Compiling model.airbyte_utils.workflows_contactListIds_ab2 2022-04-13 05:22:21 normalization > 05:03:47.444897 [debug] [Thread-1 ]: Finished running node model.airbyte_utils.ticket_pipelines_stages_ab2 2022-04-13 05:22:21 normalization > 05:03:47.454479 [debug] [Thread-4 ]: Writing injected SQL for node "model.airbyte_utils.owners_teams_ab2" 2022-04-13 05:22:21 normalization > 05:03:47.464578 [debug] [Thread-2 ]: Writing injected SQL for node "model.airbyte_utils.workflows_contactListIds_ab2" 2022-04-13 05:22:21 normalization > 05:03:47.464810 [debug] [Thread-1 ]: Began running node model.airbyte_utils.marketing_emails_stats_ab2 2022-04-13 05:22:21 normalization > 05:03:47.465489 [debug] [Thread-4 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:47.465919 [debug] [Thread-1 ]: Acquiring new bigquery connection "model.airbyte_utils.marketing_emails_stats_ab2" 2022-04-13 05:22:21 normalization > 05:03:47.466188 [debug] [Thread-2 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:47.466596 [debug] [Thread-4 ]: Finished running node model.airbyte_utils.owners_teams_ab2 2022-04-13 05:22:21 normalization > 05:03:47.466811 [debug] [Thread-1 ]: Began compiling node model.airbyte_utils.marketing_emails_stats_ab2 2022-04-13 05:22:21 normalization > 05:03:47.467239 [debug] [Thread-2 ]: Finished running node model.airbyte_utils.workflows_contactListIds_ab2 2022-04-13 05:22:21 normalization > 05:03:47.467493 [debug] [Thread-4 ]: Began running node model.airbyte_utils.companies_properties_ab2 2022-04-13 05:22:21 normalization > 05:03:47.467862 [debug] [Thread-1 ]: Compiling model.airbyte_utils.marketing_emails_stats_ab2 2022-04-13 05:22:21 normalization > 05:03:47.468237 [debug] [Thread-2 ]: Began running node model.airbyte_utils.contact_lists_metaData_ab2 2022-04-13 05:22:21 normalization > 05:03:47.468755 [debug] [Thread-4 ]: Acquiring new bigquery connection "model.airbyte_utils.companies_properties_ab2" 2022-04-13 05:22:21 normalization > 05:03:47.479369 [debug] [Thread-1 ]: Writing injected SQL for node "model.airbyte_utils.marketing_emails_stats_ab2" 2022-04-13 05:22:21 normalization > 05:03:47.479723 [debug] [Thread-2 ]: Acquiring new bigquery connection "model.airbyte_utils.contact_lists_metaData_ab2" 2022-04-13 05:22:21 normalization > 05:03:47.479947 [debug] [Thread-4 ]: Began compiling node model.airbyte_utils.companies_properties_ab2 2022-04-13 05:22:21 normalization > 05:03:47.480334 [debug] [Thread-2 ]: Began compiling node model.airbyte_utils.contact_lists_metaData_ab2 2022-04-13 05:22:21 normalization > 05:03:47.480516 [debug] [Thread-1 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:47.480740 [debug] [Thread-4 ]: Compiling model.airbyte_utils.companies_properties_ab2 2022-04-13 05:22:21 normalization > 05:03:47.480946 [debug] [Thread-2 ]: Compiling model.airbyte_utils.contact_lists_metaData_ab2 2022-04-13 05:22:21 normalization > 05:03:47.481366 [debug] [Thread-1 ]: Finished running node model.airbyte_utils.marketing_emails_stats_ab2 2022-04-13 05:22:21 normalization > 05:03:47.507286 [debug] [Thread-1 ]: Began running node model.airbyte_utils.contact_lists_filters_ab2 2022-04-13 05:22:21 normalization > 05:03:47.517905 [debug] [Thread-1 ]: Acquiring new bigquery connection "model.airbyte_utils.contact_lists_filters_ab2" 2022-04-13 05:22:21 normalization > 05:03:47.523372 [debug] [Thread-1 ]: Began compiling node model.airbyte_utils.contact_lists_filters_ab2 2022-04-13 05:22:21 normalization > 05:03:47.529822 [debug] [Thread-2 ]: On "model.airbyte_utils.contact_lists_metaData_ab2": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:21 normalization > 05:03:47.530018 [debug] [Thread-1 ]: Compiling model.airbyte_utils.contact_lists_filters_ab2 2022-04-13 05:22:21 normalization > 05:03:47.555517 [debug] [Thread-2 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:47.571402 [debug] [Thread-4 ]: On "model.airbyte_utils.companies_properties_ab2": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:21 normalization > 05:03:47.578850 [debug] [Thread-1 ]: On "model.airbyte_utils.contact_lists_filters_ab2": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:21 normalization > 05:03:47.579274 [debug] [Thread-4 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:47.579516 [debug] [Thread-1 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:47.891782 [debug] [Thread-1 ]: Writing injected SQL for node "model.airbyte_utils.contact_lists_filters_ab2" 2022-04-13 05:22:21 normalization > 05:03:47.913386 [debug] [Thread-1 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:47.919090 [debug] [Thread-1 ]: Finished running node model.airbyte_utils.contact_lists_filters_ab2 2022-04-13 05:22:21 normalization > 05:03:47.924529 [debug] [Thread-1 ]: Began running node model.airbyte_utils.tickets_properties_ab1 2022-04-13 05:22:21 normalization > 05:03:47.940324 [debug] [Thread-1 ]: Acquiring new bigquery connection "model.airbyte_utils.tickets_properties_ab1" 2022-04-13 05:22:21 normalization > 05:03:47.941435 [debug] [Thread-2 ]: Writing injected SQL for node "model.airbyte_utils.contact_lists_metaData_ab2" 2022-04-13 05:22:21 normalization > 05:03:47.950893 [debug] [Thread-1 ]: Began compiling node model.airbyte_utils.tickets_properties_ab1 2022-04-13 05:22:21 normalization > 05:03:47.983713 [debug] [Thread-1 ]: Compiling model.airbyte_utils.tickets_properties_ab1 2022-04-13 05:22:21 normalization > 05:03:48.009488 [debug] [Thread-2 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:48.030140 [debug] [Thread-2 ]: Finished running node model.airbyte_utils.contact_lists_metaData_ab2 2022-04-13 05:22:21 normalization > 05:03:48.035532 [debug] [Thread-2 ]: Began running node model.airbyte_utils.engagements_calls_properties_ab2 2022-04-13 05:22:21 normalization > 05:03:48.051210 [debug] [Thread-2 ]: Acquiring new bigquery connection "model.airbyte_utils.engagements_calls_properties_ab2" 2022-04-13 05:22:21 normalization > 05:03:48.061659 [debug] [Thread-2 ]: Began compiling node model.airbyte_utils.engagements_calls_properties_ab2 2022-04-13 05:22:21 normalization > 05:03:48.072073 [debug] [Thread-2 ]: Compiling model.airbyte_utils.engagements_calls_properties_ab2 2022-04-13 05:22:21 normalization > 05:03:48.143362 [debug] [Thread-2 ]: On "model.airbyte_utils.engagements_calls_properties_ab2": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:21 normalization > 05:03:48.148732 [debug] [Thread-2 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:48.188925 [debug] [Thread-1 ]: On "model.airbyte_utils.tickets_properties_ab1": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:21 normalization > 05:03:48.194305 [debug] [Thread-1 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:48.259730 [debug] [Thread-4 ]: Writing injected SQL for node "model.airbyte_utils.companies_properties_ab2" 2022-04-13 05:22:21 normalization > 05:03:48.261901 [debug] [Thread-4 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:48.262375 [debug] [Thread-4 ]: Finished running node model.airbyte_utils.companies_properties_ab2 2022-04-13 05:22:21 normalization > 05:03:48.262607 [debug] [Thread-4 ]: Began running node model.airbyte_utils.quotes_properties_ab2 2022-04-13 05:22:21 normalization > 05:03:48.262935 [debug] [Thread-4 ]: Acquiring new bigquery connection "model.airbyte_utils.quotes_properties_ab2" 2022-04-13 05:22:21 normalization > 05:03:48.263121 [debug] [Thread-4 ]: Began compiling node model.airbyte_utils.quotes_properties_ab2 2022-04-13 05:22:21 normalization > 05:03:48.263825 [debug] [Thread-4 ]: Compiling model.airbyte_utils.quotes_properties_ab2 2022-04-13 05:22:21 normalization > 05:03:48.301823 [debug] [Thread-4 ]: On "model.airbyte_utils.quotes_properties_ab2": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:21 normalization > 05:03:48.302065 [debug] [Thread-4 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:48.563528 [debug] [Thread-1 ]: Writing injected SQL for node "model.airbyte_utils.tickets_properties_ab1" 2022-04-13 05:22:21 normalization > 05:03:48.563942 [debug] [Thread-1 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:48.564446 [debug] [Thread-1 ]: Finished running node model.airbyte_utils.tickets_properties_ab1 2022-04-13 05:22:21 normalization > 05:03:48.564683 [debug] [Thread-1 ]: Began running node model.airbyte_utils.engagements_meetings_properties_ab2 2022-04-13 05:22:21 normalization > 05:03:48.565270 [debug] [Thread-1 ]: Acquiring new bigquery connection "model.airbyte_utils.engagements_meetings_properties_ab2" 2022-04-13 05:22:21 normalization > 05:03:48.565616 [debug] [Thread-1 ]: Began compiling node model.airbyte_utils.engagements_meetings_properties_ab2 2022-04-13 05:22:21 normalization > 05:03:48.565799 [debug] [Thread-1 ]: Compiling model.airbyte_utils.engagements_meetings_properties_ab2 2022-04-13 05:22:21 normalization > 05:03:48.615713 [debug] [Thread-1 ]: On "model.airbyte_utils.engagements_meetings_properties_ab2": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:21 normalization > 05:03:48.626263 [debug] [Thread-1 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:48.723452 [debug] [Thread-2 ]: Writing injected SQL for node "model.airbyte_utils.engagements_calls_properties_ab2" 2022-04-13 05:22:21 normalization > 05:03:48.731784 [debug] [Thread-4 ]: Writing injected SQL for node "model.airbyte_utils.quotes_properties_ab2" 2022-04-13 05:22:21 normalization > 05:03:48.732184 [debug] [Thread-2 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:48.732636 [debug] [Thread-2 ]: Finished running node model.airbyte_utils.engagements_calls_properties_ab2 2022-04-13 05:22:21 normalization > 05:03:48.732865 [debug] [Thread-4 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:48.734522 [debug] [Thread-2 ]: Began running node model.airbyte_utils.subscription_changes_changes_ab2 2022-04-13 05:22:21 normalization > 05:03:48.735356 [debug] [Thread-4 ]: Finished running node model.airbyte_utils.quotes_properties_ab2 2022-04-13 05:22:21 normalization > 05:03:48.735902 [debug] [Thread-2 ]: Acquiring new bigquery connection "model.airbyte_utils.subscription_changes_changes_ab2" 2022-04-13 05:22:21 normalization > 05:03:48.736161 [debug] [Thread-4 ]: Began running node model.airbyte_utils.contacts_properties_ab2 2022-04-13 05:22:21 normalization > 05:03:48.736664 [debug] [Thread-2 ]: Began compiling node model.airbyte_utils.subscription_changes_changes_ab2 2022-04-13 05:22:21 normalization > 05:03:48.737061 [debug] [Thread-4 ]: Acquiring new bigquery connection "model.airbyte_utils.contacts_properties_ab2" 2022-04-13 05:22:21 normalization > 05:03:48.737300 [debug] [Thread-2 ]: Compiling model.airbyte_utils.subscription_changes_changes_ab2 2022-04-13 05:22:21 normalization > 05:03:48.737515 [debug] [Thread-4 ]: Began compiling node model.airbyte_utils.contacts_properties_ab2 2022-04-13 05:22:21 normalization > 05:03:48.745134 [debug] [Thread-2 ]: On "model.airbyte_utils.subscription_changes_changes_ab2": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:21 normalization > 05:03:48.745446 [debug] [Thread-4 ]: Compiling model.airbyte_utils.contacts_properties_ab2 2022-04-13 05:22:21 normalization > 05:03:48.745866 [debug] [Thread-2 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:48.933011 [debug] [Thread-4 ]: On "model.airbyte_utils.contacts_properties_ab2": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:21 normalization > 05:03:48.935881 [debug] [Thread-4 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:49.208632 [debug] [Thread-2 ]: Writing injected SQL for node "model.airbyte_utils.subscription_changes_changes_ab2" 2022-04-13 05:22:21 normalization > 05:03:49.224894 [debug] [Thread-2 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:49.230568 [debug] [Thread-2 ]: Finished running node model.airbyte_utils.subscription_changes_changes_ab2 2022-04-13 05:22:21 normalization > 05:03:49.235928 [debug] [Thread-2 ]: Began running node model.airbyte_utils.deals_dealstage_ab2 2022-04-13 05:22:21 normalization > 05:03:49.257125 [debug] [Thread-2 ]: Acquiring new bigquery connection "model.airbyte_utils.deals_dealstage_ab2" 2022-04-13 05:22:21 normalization > 05:03:49.262519 [debug] [Thread-2 ]: Began compiling node model.airbyte_utils.deals_dealstage_ab2 2022-04-13 05:22:21 normalization > 05:03:49.267847 [debug] [Thread-2 ]: Compiling model.airbyte_utils.deals_dealstage_ab2 2022-04-13 05:22:21 normalization > 05:03:49.347667 [debug] [Thread-2 ]: On "model.airbyte_utils.deals_dealstage_ab2": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:21 normalization > 05:03:49.359683 [debug] [Thread-2 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:49.374841 [debug] [Thread-1 ]: Writing injected SQL for node "model.airbyte_utils.engagements_meetings_properties_ab2" 2022-04-13 05:22:21 normalization > 05:03:49.376758 [debug] [Thread-1 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:49.377490 [debug] [Thread-1 ]: Finished running node model.airbyte_utils.engagements_meetings_properties_ab2 2022-04-13 05:22:21 normalization > 05:03:49.377802 [debug] [Thread-1 ]: Began running node model.airbyte_utils.campaigns_counters_ab3 2022-04-13 05:22:21 normalization > 05:03:49.378404 [debug] [Thread-1 ]: Acquiring new bigquery connection "model.airbyte_utils.campaigns_counters_ab3" 2022-04-13 05:22:21 normalization > 05:03:49.380107 [debug] [Thread-1 ]: Began compiling node model.airbyte_utils.campaigns_counters_ab3 2022-04-13 05:22:21 normalization > 05:03:49.380668 [debug] [Thread-1 ]: Compiling model.airbyte_utils.campaigns_counters_ab3 2022-04-13 05:22:21 normalization > 05:03:49.410714 [debug] [Thread-1 ]: Writing injected SQL for node "model.airbyte_utils.campaigns_counters_ab3" 2022-04-13 05:22:21 normalization > 05:03:49.411269 [debug] [Thread-1 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:49.411969 [debug] [Thread-1 ]: Finished running node model.airbyte_utils.campaigns_counters_ab3 2022-04-13 05:22:21 normalization > 05:03:49.412296 [debug] [Thread-1 ]: Began running node model.airbyte_utils.deal_pipelines_stages_ab3 2022-04-13 05:22:21 normalization > 05:03:49.412719 [debug] [Thread-1 ]: Acquiring new bigquery connection "model.airbyte_utils.deal_pipelines_stages_ab3" 2022-04-13 05:22:21 normalization > 05:03:49.413133 [debug] [Thread-1 ]: Began compiling node model.airbyte_utils.deal_pipelines_stages_ab3 2022-04-13 05:22:21 normalization > 05:03:49.413733 [debug] [Thread-1 ]: Compiling model.airbyte_utils.deal_pipelines_stages_ab3 2022-04-13 05:22:21 normalization > 05:03:49.432061 [debug] [Thread-1 ]: Writing injected SQL for node "model.airbyte_utils.deal_pipelines_stages_ab3" 2022-04-13 05:22:21 normalization > 05:03:49.432719 [debug] [Thread-1 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:49.433559 [debug] [Thread-1 ]: Finished running node model.airbyte_utils.deal_pipelines_stages_ab3 2022-04-13 05:22:21 normalization > 05:03:49.434011 [debug] [Thread-1 ]: Began running node model.airbyte_utils.line_items_properties_ab2 2022-04-13 05:22:21 normalization > 05:03:49.434461 [debug] [Thread-1 ]: Acquiring new bigquery connection "model.airbyte_utils.line_items_properties_ab2" 2022-04-13 05:22:21 normalization > 05:03:49.434860 [debug] [Thread-1 ]: Began compiling node model.airbyte_utils.line_items_properties_ab2 2022-04-13 05:22:21 normalization > 05:03:49.435460 [debug] [Thread-1 ]: Compiling model.airbyte_utils.line_items_properties_ab2 2022-04-13 05:22:21 normalization > 05:03:49.459187 [debug] [Thread-1 ]: On "model.airbyte_utils.line_items_properties_ab2": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:21 normalization > 05:03:49.459486 [debug] [Thread-1 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:49.828644 [debug] [Thread-2 ]: Writing injected SQL for node "model.airbyte_utils.deals_dealstage_ab2" 2022-04-13 05:22:21 normalization > 05:03:49.849535 [debug] [Thread-2 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:49.855179 [debug] [Thread-2 ]: Finished running node model.airbyte_utils.deals_dealstage_ab2 2022-04-13 05:22:21 normalization > 05:03:49.860575 [debug] [Thread-2 ]: Began running node model.airbyte_utils.form_submissions_values_ab3 2022-04-13 05:22:21 normalization > 05:03:49.871401 [debug] [Thread-2 ]: Acquiring new bigquery connection "model.airbyte_utils.form_submissions_values_ab3" 2022-04-13 05:22:21 normalization > 05:03:49.882015 [debug] [Thread-2 ]: Began compiling node model.airbyte_utils.form_submissions_values_ab3 2022-04-13 05:22:21 normalization > 05:03:49.892418 [debug] [Thread-2 ]: Compiling model.airbyte_utils.form_submissions_values_ab3 2022-04-13 05:22:21 normalization > 05:03:49.921056 [debug] [Thread-2 ]: Writing injected SQL for node "model.airbyte_utils.form_submissions_values_ab3" 2022-04-13 05:22:21 normalization > 05:03:49.947537 [debug] [Thread-2 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:49.953094 [debug] [Thread-2 ]: Finished running node model.airbyte_utils.form_submissions_values_ab3 2022-04-13 05:22:21 normalization > 05:03:49.958577 [debug] [Thread-2 ]: Began running node model.airbyte_utils.forms_configuration_ab3 2022-04-13 05:22:21 normalization > 05:03:49.984703 [debug] [Thread-2 ]: Acquiring new bigquery connection "model.airbyte_utils.forms_configuration_ab3" 2022-04-13 05:22:21 normalization > 05:03:49.990051 [debug] [Thread-2 ]: Began compiling node model.airbyte_utils.forms_configuration_ab3 2022-04-13 05:22:21 normalization > 05:03:50.041443 [debug] [Thread-2 ]: Compiling model.airbyte_utils.forms_configuration_ab3 2022-04-13 05:22:21 normalization > 05:03:50.097936 [debug] [Thread-2 ]: Writing injected SQL for node "model.airbyte_utils.forms_configuration_ab3" 2022-04-13 05:22:21 normalization > 05:03:50.136164 [debug] [Thread-2 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:50.141840 [debug] [Thread-2 ]: Finished running node model.airbyte_utils.forms_configuration_ab3 2022-04-13 05:22:21 normalization > 05:03:50.147255 [debug] [Thread-2 ]: Began running node model.airbyte_utils.deals_properties_ab2 2022-04-13 05:22:21 normalization > 05:03:50.147688 [debug] [Thread-2 ]: Acquiring new bigquery connection "model.airbyte_utils.deals_properties_ab2" 2022-04-13 05:22:21 normalization > 05:03:50.170641 [debug] [Thread-1 ]: Writing injected SQL for node "model.airbyte_utils.line_items_properties_ab2" 2022-04-13 05:22:21 normalization > 05:03:50.178584 [debug] [Thread-2 ]: Began compiling node model.airbyte_utils.deals_properties_ab2 2022-04-13 05:22:21 normalization > 05:03:50.224717 [debug] [Thread-2 ]: Compiling model.airbyte_utils.deals_properties_ab2 2022-04-13 05:22:21 normalization > 05:03:50.230033 [debug] [Thread-1 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:50.281371 [debug] [Thread-1 ]: Finished running node model.airbyte_utils.line_items_properties_ab2 2022-04-13 05:22:21 normalization > 05:03:50.286784 [debug] [Thread-1 ]: Began running node model.airbyte_utils.products_properties_ab2 2022-04-13 05:22:21 normalization > 05:03:50.333692 [debug] [Thread-1 ]: Acquiring new bigquery connection "model.airbyte_utils.products_properties_ab2" 2022-04-13 05:22:21 normalization > 05:03:50.339278 [debug] [Thread-1 ]: Began compiling node model.airbyte_utils.products_properties_ab2 2022-04-13 05:22:21 normalization > 05:03:50.359857 [debug] [Thread-1 ]: Compiling model.airbyte_utils.products_properties_ab2 2022-04-13 05:22:21 normalization > 05:03:50.422900 [debug] [Thread-1 ]: On "model.airbyte_utils.products_properties_ab2": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:21 normalization > 05:03:50.438799 [debug] [Thread-1 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:50.591622 [debug] [Thread-2 ]: On "model.airbyte_utils.deals_properties_ab2": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:21 normalization > 05:03:50.602275 [debug] [Thread-2 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:50.732090 [debug] [Thread-4 ]: Writing injected SQL for node "model.airbyte_utils.contacts_properties_ab2" 2022-04-13 05:22:21 normalization > 05:03:50.732539 [debug] [Thread-4 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:50.732998 [debug] [Thread-4 ]: Finished running node model.airbyte_utils.contacts_properties_ab2 2022-04-13 05:22:21 normalization > 05:03:50.733251 [debug] [Thread-4 ]: Began running node model.airbyte_utils.forms_displayOptions_ab3 2022-04-13 05:22:21 normalization > 05:03:50.733976 [debug] [Thread-4 ]: Acquiring new bigquery connection "model.airbyte_utils.forms_displayOptions_ab3" 2022-04-13 05:22:21 normalization > 05:03:50.734327 [debug] [Thread-4 ]: Began compiling node model.airbyte_utils.forms_displayOptions_ab3 2022-04-13 05:22:21 normalization > 05:03:50.734558 [debug] [Thread-4 ]: Compiling model.airbyte_utils.forms_displayOptions_ab3 2022-04-13 05:22:21 normalization > 05:03:50.752703 [debug] [Thread-4 ]: Writing injected SQL for node "model.airbyte_utils.forms_displayOptions_ab3" 2022-04-13 05:22:21 normalization > 05:03:50.753159 [debug] [Thread-4 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:50.753759 [debug] [Thread-4 ]: Finished running node model.airbyte_utils.forms_displayOptions_ab3 2022-04-13 05:22:21 normalization > 05:03:50.754100 [debug] [Thread-4 ]: Began running node model.airbyte_utils.forms_fieldGroups_ab3 2022-04-13 05:22:21 normalization > 05:03:50.754923 [debug] [Thread-4 ]: Acquiring new bigquery connection "model.airbyte_utils.forms_fieldGroups_ab3" 2022-04-13 05:22:21 normalization > 05:03:50.755233 [debug] [Thread-4 ]: Began compiling node model.airbyte_utils.forms_fieldGroups_ab3 2022-04-13 05:22:21 normalization > 05:03:50.755534 [debug] [Thread-4 ]: Compiling model.airbyte_utils.forms_fieldGroups_ab3 2022-04-13 05:22:21 normalization > 05:03:50.769930 [debug] [Thread-4 ]: Writing injected SQL for node "model.airbyte_utils.forms_fieldGroups_ab3" 2022-04-13 05:22:21 normalization > 05:03:50.770440 [debug] [Thread-4 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:50.770812 [debug] [Thread-4 ]: Finished running node model.airbyte_utils.forms_fieldGroups_ab3 2022-04-13 05:22:21 normalization > 05:03:50.771025 [debug] [Thread-4 ]: Began running node model.airbyte_utils.forms_properties_ab3 2022-04-13 05:22:21 normalization > 05:03:50.771516 [debug] [Thread-4 ]: Acquiring new bigquery connection "model.airbyte_utils.forms_properties_ab3" 2022-04-13 05:22:21 normalization > 05:03:50.771795 [debug] [Thread-4 ]: Began compiling node model.airbyte_utils.forms_properties_ab3 2022-04-13 05:22:21 normalization > 05:03:50.771958 [debug] [Thread-4 ]: Compiling model.airbyte_utils.forms_properties_ab3 2022-04-13 05:22:21 normalization > 05:03:50.807799 [debug] [Thread-4 ]: Writing injected SQL for node "model.airbyte_utils.forms_properties_ab3" 2022-04-13 05:22:21 normalization > 05:03:50.808097 [debug] [Thread-4 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:50.808487 [debug] [Thread-4 ]: Finished running node model.airbyte_utils.forms_properties_ab3 2022-04-13 05:22:21 normalization > 05:03:50.808737 [debug] [Thread-4 ]: Began running node model.airbyte_utils.ticket_pipelines_stages_ab3 2022-04-13 05:22:21 normalization > 05:03:50.809136 [debug] [Thread-4 ]: Finished running node model.airbyte_utils.ticket_pipelines_stages_ab3 2022-04-13 05:22:21 normalization > 05:03:50.809491 [debug] [Thread-4 ]: Began running node model.airbyte_utils.owners_teams_ab3 2022-04-13 05:22:21 normalization > 05:03:50.810065 [debug] [Thread-4 ]: Acquiring new bigquery connection "model.airbyte_utils.owners_teams_ab3" 2022-04-13 05:22:21 normalization > 05:03:50.810646 [debug] [Thread-4 ]: Began compiling node model.airbyte_utils.owners_teams_ab3 2022-04-13 05:22:21 normalization > 05:03:50.811053 [debug] [Thread-4 ]: Compiling model.airbyte_utils.owners_teams_ab3 2022-04-13 05:22:21 normalization > 05:03:50.827812 [debug] [Thread-4 ]: Writing injected SQL for node "model.airbyte_utils.owners_teams_ab3" 2022-04-13 05:22:21 normalization > 05:03:50.828210 [debug] [Thread-4 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:50.828586 [debug] [Thread-4 ]: Finished running node model.airbyte_utils.owners_teams_ab3 2022-04-13 05:22:21 normalization > 05:03:50.828801 [debug] [Thread-4 ]: Began running node model.airbyte_utils.workflows_contactListIds_ab3 2022-04-13 05:22:21 normalization > 05:03:50.829383 [debug] [Thread-4 ]: Acquiring new bigquery connection "model.airbyte_utils.workflows_contactListIds_ab3" 2022-04-13 05:22:21 normalization > 05:03:50.829794 [debug] [Thread-4 ]: Began compiling node model.airbyte_utils.workflows_contactListIds_ab3 2022-04-13 05:22:21 normalization > 05:03:50.830397 [debug] [Thread-4 ]: Compiling model.airbyte_utils.workflows_contactListIds_ab3 2022-04-13 05:22:21 normalization > 05:03:50.843317 [debug] [Thread-4 ]: Writing injected SQL for node "model.airbyte_utils.workflows_contactListIds_ab3" 2022-04-13 05:22:21 normalization > 05:03:50.843604 [debug] [Thread-4 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:50.843954 [debug] [Thread-4 ]: Finished running node model.airbyte_utils.workflows_contactListIds_ab3 2022-04-13 05:22:21 normalization > 05:03:50.844172 [debug] [Thread-4 ]: Began running node model.airbyte_utils.marketing_emails_stats_ab3 2022-04-13 05:22:21 normalization > 05:03:50.844629 [debug] [Thread-4 ]: Acquiring new bigquery connection "model.airbyte_utils.marketing_emails_stats_ab3" 2022-04-13 05:22:21 normalization > 05:03:50.844888 [debug] [Thread-4 ]: Began compiling node model.airbyte_utils.marketing_emails_stats_ab3 2022-04-13 05:22:21 normalization > 05:03:50.845074 [debug] [Thread-4 ]: Compiling model.airbyte_utils.marketing_emails_stats_ab3 2022-04-13 05:22:21 normalization > 05:03:50.858608 [debug] [Thread-4 ]: Writing injected SQL for node "model.airbyte_utils.marketing_emails_stats_ab3" 2022-04-13 05:22:21 normalization > 05:03:50.858901 [debug] [Thread-4 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:50.859278 [debug] [Thread-4 ]: Finished running node model.airbyte_utils.marketing_emails_stats_ab3 2022-04-13 05:22:21 normalization > 05:03:50.859491 [debug] [Thread-4 ]: Began running node model.airbyte_utils.contact_lists_filters_ab3 2022-04-13 05:22:21 normalization > 05:03:50.859927 [debug] [Thread-4 ]: Acquiring new bigquery connection "model.airbyte_utils.contact_lists_filters_ab3" 2022-04-13 05:22:21 normalization > 05:03:50.860169 [debug] [Thread-4 ]: Began compiling node model.airbyte_utils.contact_lists_filters_ab3 2022-04-13 05:22:21 normalization > 05:03:50.860342 [debug] [Thread-4 ]: Compiling model.airbyte_utils.contact_lists_filters_ab3 2022-04-13 05:22:21 normalization > 05:03:50.867411 [debug] [Thread-4 ]: On "model.airbyte_utils.contact_lists_filters_ab3": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:21 normalization > 05:03:50.867611 [debug] [Thread-4 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:50.979358 [debug] [Thread-1 ]: Writing injected SQL for node "model.airbyte_utils.products_properties_ab2" 2022-04-13 05:22:21 normalization > 05:03:50.979689 [debug] [Thread-1 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:50.980073 [debug] [Thread-1 ]: Finished running node model.airbyte_utils.products_properties_ab2 2022-04-13 05:22:21 normalization > 05:03:50.980321 [debug] [Thread-1 ]: Began running node model.airbyte_utils.contact_lists_metaData_ab3 2022-04-13 05:22:21 normalization > 05:03:50.980816 [debug] [Thread-1 ]: Acquiring new bigquery connection "model.airbyte_utils.contact_lists_metaData_ab3" 2022-04-13 05:22:21 normalization > 05:03:50.981112 [debug] [Thread-1 ]: Began compiling node model.airbyte_utils.contact_lists_metaData_ab3 2022-04-13 05:22:21 normalization > 05:03:50.981308 [debug] [Thread-1 ]: Compiling model.airbyte_utils.contact_lists_metaData_ab3 2022-04-13 05:22:21 normalization > 05:03:50.989275 [debug] [Thread-1 ]: On "model.airbyte_utils.contact_lists_metaData_ab3": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:21 normalization > 05:03:50.989476 [debug] [Thread-1 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:51.097479 [debug] [Thread-4 ]: Writing injected SQL for node "model.airbyte_utils.contact_lists_filters_ab3" 2022-04-13 05:22:21 normalization > 05:03:51.108489 [debug] [Thread-4 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:51.114055 [debug] [Thread-4 ]: Finished running node model.airbyte_utils.contact_lists_filters_ab3 2022-04-13 05:22:21 normalization > 05:03:51.119440 [debug] [Thread-4 ]: Began running node model.airbyte_utils.companies_properties_ab3 2022-04-13 05:22:21 normalization > 05:03:51.125117 [debug] [Thread-4 ]: Acquiring new bigquery connection "model.airbyte_utils.companies_properties_ab3" 2022-04-13 05:22:21 normalization > 05:03:51.130499 [debug] [Thread-4 ]: Began compiling node model.airbyte_utils.companies_properties_ab3 2022-04-13 05:22:21 normalization > 05:03:51.136008 [debug] [Thread-4 ]: Compiling model.airbyte_utils.companies_properties_ab3 2022-04-13 05:22:21 normalization > 05:03:51.225107 [debug] [Thread-4 ]: On "model.airbyte_utils.companies_properties_ab3": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:21 normalization > 05:03:51.230488 [debug] [Thread-4 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:51.323089 [debug] [Thread-1 ]: Writing injected SQL for node "model.airbyte_utils.contact_lists_metaData_ab3" 2022-04-13 05:22:21 normalization > 05:03:51.364962 [debug] [Thread-1 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:51.370696 [debug] [Thread-1 ]: Finished running node model.airbyte_utils.contact_lists_metaData_ab3 2022-04-13 05:22:21 normalization > 05:03:51.376055 [debug] [Thread-1 ]: Began running node model.airbyte_utils.tickets_properties_ab2 2022-04-13 05:22:21 normalization > 05:03:51.392654 [debug] [Thread-1 ]: Acquiring new bigquery connection "model.airbyte_utils.tickets_properties_ab2" 2022-04-13 05:22:21 normalization > 05:03:51.404603 [debug] [Thread-1 ]: Began compiling node model.airbyte_utils.tickets_properties_ab2 2022-04-13 05:22:21 normalization > 05:03:51.409981 [debug] [Thread-1 ]: Compiling model.airbyte_utils.tickets_properties_ab2 2022-04-13 05:22:21 normalization > 05:03:51.553997 [debug] [Thread-1 ]: On "model.airbyte_utils.tickets_properties_ab2": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:21 normalization > 05:03:51.564493 [debug] [Thread-1 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:52.102249 [debug] [Thread-2 ]: Writing injected SQL for node "model.airbyte_utils.deals_properties_ab2" 2022-04-13 05:22:21 normalization > 05:03:52.118747 [debug] [Thread-2 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:52.119402 [debug] [Thread-2 ]: Finished running node model.airbyte_utils.deals_properties_ab2 2022-04-13 05:22:21 normalization > 05:03:52.129944 [debug] [Thread-2 ]: Began running node model.airbyte_utils.engagements_calls_properties_ab3 2022-04-13 05:22:21 normalization > 05:03:52.140661 [debug] [Thread-2 ]: Acquiring new bigquery connection "model.airbyte_utils.engagements_calls_properties_ab3" 2022-04-13 05:22:21 normalization > 05:03:52.156380 [debug] [Thread-2 ]: Began compiling node model.airbyte_utils.engagements_calls_properties_ab3 2022-04-13 05:22:21 normalization > 05:03:52.161709 [debug] [Thread-2 ]: Compiling model.airbyte_utils.engagements_calls_properties_ab3 2022-04-13 05:22:21 normalization > 05:03:52.293619 [debug] [Thread-2 ]: On "model.airbyte_utils.engagements_calls_properties_ab3": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:21 normalization > 05:03:52.299009 [debug] [Thread-2 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:52.435325 [debug] [Thread-1 ]: Writing injected SQL for node "model.airbyte_utils.tickets_properties_ab2" 2022-04-13 05:22:21 normalization > 05:03:52.472413 [debug] [Thread-1 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:52.490081 [debug] [Thread-1 ]: Finished running node model.airbyte_utils.tickets_properties_ab2 2022-04-13 05:22:21 normalization > 05:03:52.491255 [debug] [Thread-4 ]: Writing injected SQL for node "model.airbyte_utils.companies_properties_ab3" 2022-04-13 05:22:21 normalization > 05:03:52.491549 [debug] [Thread-1 ]: Began running node model.airbyte_utils.quotes_properties_ab3 2022-04-13 05:22:21 normalization > 05:03:52.492599 [debug] [Thread-1 ]: Acquiring new bigquery connection "model.airbyte_utils.quotes_properties_ab3" 2022-04-13 05:22:21 normalization > 05:03:52.492843 [debug] [Thread-1 ]: Began compiling node model.airbyte_utils.quotes_properties_ab3 2022-04-13 05:22:21 normalization > 05:03:52.493031 [debug] [Thread-4 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:52.493263 [debug] [Thread-1 ]: Compiling model.airbyte_utils.quotes_properties_ab3 2022-04-13 05:22:21 normalization > 05:03:52.493687 [debug] [Thread-4 ]: Finished running node model.airbyte_utils.companies_properties_ab3 2022-04-13 05:22:21 normalization > 05:03:52.552786 [debug] [Thread-4 ]: Began running node model.airbyte_utils.subscription_changes_changes_ab3 2022-04-13 05:22:21 normalization > 05:03:52.553272 [debug] [Thread-4 ]: Acquiring new bigquery connection "model.airbyte_utils.subscription_changes_changes_ab3" 2022-04-13 05:22:21 normalization > 05:03:52.554083 [debug] [Thread-4 ]: Began compiling node model.airbyte_utils.subscription_changes_changes_ab3 2022-04-13 05:22:21 normalization > 05:03:52.554357 [debug] [Thread-4 ]: Compiling model.airbyte_utils.subscription_changes_changes_ab3 2022-04-13 05:22:21 normalization > 05:03:52.562222 [debug] [Thread-4 ]: On "model.airbyte_utils.subscription_changes_changes_ab3": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:21 normalization > 05:03:52.562721 [debug] [Thread-4 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:52.618439 [debug] [Thread-1 ]: On "model.airbyte_utils.quotes_properties_ab3": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:21 normalization > 05:03:52.618817 [debug] [Thread-1 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:53.031534 [debug] [Thread-2 ]: Writing injected SQL for node "model.airbyte_utils.engagements_calls_properties_ab3" 2022-04-13 05:22:21 normalization > 05:03:53.073336 [debug] [Thread-4 ]: Writing injected SQL for node "model.airbyte_utils.subscription_changes_changes_ab3" 2022-04-13 05:22:21 normalization > 05:03:53.073672 [debug] [Thread-2 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:53.079432 [debug] [Thread-2 ]: Finished running node model.airbyte_utils.engagements_calls_properties_ab3 2022-04-13 05:22:21 normalization > 05:03:53.084826 [debug] [Thread-2 ]: Began running node model.airbyte_utils.engagements_meetings_properties_ab3 2022-04-13 05:22:21 normalization > 05:03:53.085357 [debug] [Thread-2 ]: Acquiring new bigquery connection "model.airbyte_utils.engagements_meetings_properties_ab3" 2022-04-13 05:22:21 normalization > 05:03:53.100862 [debug] [Thread-4 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:53.101054 [debug] [Thread-2 ]: Began compiling node model.airbyte_utils.engagements_meetings_properties_ab3 2022-04-13 05:22:21 normalization > 05:03:53.121622 [debug] [Thread-4 ]: Finished running node model.airbyte_utils.subscription_changes_changes_ab3 2022-04-13 05:22:21 normalization > 05:03:53.135939 [debug] [Thread-1 ]: Writing injected SQL for node "model.airbyte_utils.quotes_properties_ab3" 2022-04-13 05:22:21 normalization > 05:03:53.136145 [debug] [Thread-2 ]: Compiling model.airbyte_utils.engagements_meetings_properties_ab3 2022-04-13 05:22:21 normalization > 05:03:53.136446 [debug] [Thread-4 ]: Began running node model.airbyte_utils.campaigns_counters 2022-04-13 05:22:21 normalization > 05:03:53.154512 [debug] [Thread-2 ]: On "model.airbyte_utils.engagements_meetings_properties_ab3": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:21 normalization > 05:03:53.154740 [debug] [Thread-1 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:53.155080 [info ] [Thread-4 ]: 27 of 77 START table model hubspot_.campaigns_counters.................................................................. [RUN] 2022-04-13 05:22:21 normalization > 05:03:53.155357 [debug] [Thread-2 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:53.155928 [debug] [Thread-1 ]: Finished running node model.airbyte_utils.quotes_properties_ab3 2022-04-13 05:22:21 normalization > 05:03:53.156537 [debug] [Thread-4 ]: Acquiring new bigquery connection "model.airbyte_utils.campaigns_counters" 2022-04-13 05:22:21 normalization > 05:03:53.156960 [debug] [Thread-1 ]: Began running node model.airbyte_utils.deal_pipelines_stages 2022-04-13 05:22:21 normalization > 05:03:53.157491 [debug] [Thread-4 ]: Began compiling node model.airbyte_utils.campaigns_counters 2022-04-13 05:22:21 normalization > 05:03:53.157797 [info ] [Thread-1 ]: 28 of 77 START table model hubspot_.deal_pipelines_stages............................................................... [RUN] 2022-04-13 05:22:21 normalization > 05:03:53.158028 [debug] [Thread-4 ]: Compiling model.airbyte_utils.campaigns_counters 2022-04-13 05:22:21 normalization > 05:03:53.158576 [debug] [Thread-1 ]: Acquiring new bigquery connection "model.airbyte_utils.deal_pipelines_stages" 2022-04-13 05:22:21 normalization > 05:03:53.169152 [debug] [Thread-1 ]: Began compiling node model.airbyte_utils.deal_pipelines_stages 2022-04-13 05:22:21 normalization > 05:03:53.168985 [debug] [Thread-4 ]: Writing injected SQL for node "model.airbyte_utils.campaigns_counters" 2022-04-13 05:22:21 normalization > 05:03:53.169829 [debug] [Thread-1 ]: Compiling model.airbyte_utils.deal_pipelines_stages 2022-04-13 05:22:21 normalization > 05:03:53.180345 [debug] [Thread-1 ]: Writing injected SQL for node "model.airbyte_utils.deal_pipelines_stages" 2022-04-13 05:22:21 normalization > 05:03:53.180924 [debug] [Thread-4 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:53.181146 [debug] [Thread-4 ]: Began executing node model.airbyte_utils.campaigns_counters 2022-04-13 05:22:21 normalization > 05:03:53.181388 [debug] [Thread-1 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:53.186406 [debug] [Thread-4 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:53.186744 [debug] [Thread-1 ]: Began executing node model.airbyte_utils.deal_pipelines_stages 2022-04-13 05:22:21 normalization > 05:03:53.190875 [debug] [Thread-1 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:53.274974 [debug] [Thread-4 ]: Writing runtime SQL for node "model.airbyte_utils.campaigns_counters" 2022-04-13 05:22:21 normalization > 05:03:53.275734 [debug] [Thread-4 ]: On model.airbyte_utils.campaigns_counters: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.campaigns_counters"} */ 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > create or replace table `mansagroup-datascience`.hubspot_.`campaigns_counters` 2022-04-13 05:22:21 normalization > partition by timestamp_trunc(_airbyte_emitted_at, day) 2022-04-13 05:22:21 normalization > cluster by _airbyte_emitted_at 2022-04-13 05:22:21 normalization > OPTIONS() 2022-04-13 05:22:21 normalization > as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > with __dbt__cte__campaigns_counters_ab1 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema 2022-04-13 05:22:21 normalization > -- depends_on: `mansagroup-datascience`.hubspot_.`campaigns` 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > _airbyte_campaigns_hashid, 2022-04-13 05:22:21 normalization > json_extract_scalar(counters, "$['open']") as open, 2022-04-13 05:22:21 normalization > json_extract_scalar(counters, "$['sent']") as sent, 2022-04-13 05:22:21 normalization > json_extract_scalar(counters, "$['click']") as click, 2022-04-13 05:22:21 normalization > json_extract_scalar(counters, "$['print']") as print, 2022-04-13 05:22:21 normalization > json_extract_scalar(counters, "$['reply']") as reply, 2022-04-13 05:22:21 normalization > json_extract_scalar(counters, "$['bounce']") as bounce, 2022-04-13 05:22:21 normalization > json_extract_scalar(counters, "$['dropped']") as dropped, 2022-04-13 05:22:21 normalization > json_extract_scalar(counters, "$['forward']") as forward, 2022-04-13 05:22:21 normalization > json_extract_scalar(counters, "$['deferred']") as deferred, 2022-04-13 05:22:21 normalization > json_extract_scalar(counters, "$['delivered']") as delivered, 2022-04-13 05:22:21 normalization > json_extract_scalar(counters, "$['processed']") as processed, 2022-04-13 05:22:21 normalization > json_extract_scalar(counters, "$['spamreport']") as spamreport, 2022-04-13 05:22:21 normalization > json_extract_scalar(counters, "$['suppressed']") as suppressed, 2022-04-13 05:22:21 normalization > json_extract_scalar(counters, "$['mta_dropped']") as mta_dropped, 2022-04-13 05:22:21 normalization > json_extract_scalar(counters, "$['statuschange']") as statuschange, 2022-04-13 05:22:21 normalization > json_extract_scalar(counters, "$['unsubscribed']") as unsubscribed, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:21 normalization > from `mansagroup-datascience`.hubspot_.`campaigns` as table_alias 2022-04-13 05:22:21 normalization > -- counters at campaigns/counters 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > and counters is not null 2022-04-13 05:22:21 normalization > ), __dbt__cte__campaigns_counters_ab2 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__campaigns_counters_ab1 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > _airbyte_campaigns_hashid, 2022-04-13 05:22:21 normalization > cast(open as 2022-04-13 05:22:21 normalization > int64 2022-04-13 05:22:21 normalization > ) as open, 2022-04-13 05:22:21 normalization > cast(sent as 2022-04-13 05:22:21 normalization > int64 2022-04-13 05:22:21 normalization > ) as sent, 2022-04-13 05:22:21 normalization > cast(click as 2022-04-13 05:22:21 normalization > int64 2022-04-13 05:22:21 normalization > ) as click, 2022-04-13 05:22:21 normalization > cast(print as 2022-04-13 05:22:21 normalization > int64 2022-04-13 05:22:21 normalization > ) as print, 2022-04-13 05:22:21 normalization > cast(reply as 2022-04-13 05:22:21 normalization > int64 2022-04-13 05:22:21 normalization > ) as reply, 2022-04-13 05:22:21 normalization > cast(bounce as 2022-04-13 05:22:21 normalization > int64 2022-04-13 05:22:21 normalization > ) as bounce, 2022-04-13 05:22:21 normalization > cast(dropped as 2022-04-13 05:22:21 normalization > int64 2022-04-13 05:22:21 normalization > ) as dropped, 2022-04-13 05:22:21 normalization > cast(forward as 2022-04-13 05:22:21 normalization > int64 2022-04-13 05:22:21 normalization > ) as forward, 2022-04-13 05:22:21 normalization > cast(deferred as 2022-04-13 05:22:21 normalization > int64 2022-04-13 05:22:21 normalization > ) as deferred, 2022-04-13 05:22:21 normalization > cast(delivered as 2022-04-13 05:22:21 normalization > int64 2022-04-13 05:22:21 normalization > ) as delivered, 2022-04-13 05:22:21 normalization > cast(processed as 2022-04-13 05:22:21 normalization > int64 2022-04-13 05:22:21 normalization > ) as processed, 2022-04-13 05:22:21 normalization > cast(spamreport as 2022-04-13 05:22:21 normalization > int64 2022-04-13 05:22:21 normalization > ) as spamreport, 2022-04-13 05:22:21 normalization > cast(suppressed as 2022-04-13 05:22:21 normalization > int64 2022-04-13 05:22:21 normalization > ) as suppressed, 2022-04-13 05:22:21 normalization > cast(mta_dropped as 2022-04-13 05:22:21 normalization > int64 2022-04-13 05:22:21 normalization > ) as mta_dropped, 2022-04-13 05:22:21 normalization > cast(statuschange as 2022-04-13 05:22:21 normalization > int64 2022-04-13 05:22:21 normalization > ) as statuschange, 2022-04-13 05:22:21 normalization > cast(unsubscribed as 2022-04-13 05:22:21 normalization > int64 2022-04-13 05:22:21 normalization > ) as unsubscribed, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:21 normalization > from __dbt__cte__campaigns_counters_ab1 2022-04-13 05:22:21 normalization > -- counters at campaigns/counters 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > ), __dbt__cte__campaigns_counters_ab3 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to build a hash column based on the values of this record 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__campaigns_counters_ab2 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > to_hex(md5(cast(concat(coalesce(cast(_airbyte_campaigns_hashid as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(open as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(sent as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(click as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(print as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(reply as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(bounce as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(dropped as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(forward as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(deferred as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(delivered as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(processed as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(spamreport as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(suppressed as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(mta_dropped as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(statuschange as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(unsubscribed as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), '')) as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ))) as _airbyte_counters_hashid, 2022-04-13 05:22:21 normalization > tmp.* 2022-04-13 05:22:21 normalization > from __dbt__cte__campaigns_counters_ab2 tmp 2022-04-13 05:22:21 normalization > -- counters at campaigns/counters 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > )-- Final base SQL model 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__campaigns_counters_ab3 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > _airbyte_campaigns_hashid, 2022-04-13 05:22:21 normalization > open, 2022-04-13 05:22:21 normalization > sent, 2022-04-13 05:22:21 normalization > click, 2022-04-13 05:22:21 normalization > print, 2022-04-13 05:22:21 normalization > reply, 2022-04-13 05:22:21 normalization > bounce, 2022-04-13 05:22:21 normalization > dropped, 2022-04-13 05:22:21 normalization > forward, 2022-04-13 05:22:21 normalization > deferred, 2022-04-13 05:22:21 normalization > delivered, 2022-04-13 05:22:21 normalization > processed, 2022-04-13 05:22:21 normalization > spamreport, 2022-04-13 05:22:21 normalization > suppressed, 2022-04-13 05:22:21 normalization > mta_dropped, 2022-04-13 05:22:21 normalization > statuschange, 2022-04-13 05:22:21 normalization > unsubscribed, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at, 2022-04-13 05:22:21 normalization > _airbyte_counters_hashid 2022-04-13 05:22:21 normalization > from __dbt__cte__campaigns_counters_ab3 2022-04-13 05:22:21 normalization > -- counters at campaigns/counters from `mansagroup-datascience`.hubspot_.`campaigns` 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > ); 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 05:03:53.279313 [debug] [Thread-1 ]: Writing runtime SQL for node "model.airbyte_utils.deal_pipelines_stages" 2022-04-13 05:22:21 normalization > 05:03:53.279621 [debug] [Thread-1 ]: On model.airbyte_utils.deal_pipelines_stages: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.deal_pipelines_stages"} */ 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > create or replace table `mansagroup-datascience`.hubspot_.`deal_pipelines_stages` 2022-04-13 05:22:21 normalization > partition by timestamp_trunc(_airbyte_emitted_at, day) 2022-04-13 05:22:21 normalization > cluster by _airbyte_emitted_at 2022-04-13 05:22:21 normalization > OPTIONS() 2022-04-13 05:22:21 normalization > as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > with __dbt__cte__deal_pipelines_stages_ab1 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema 2022-04-13 05:22:21 normalization > -- depends_on: `mansagroup-datascience`.hubspot_.`deal_pipelines` 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > _airbyte_deal_pipelines_hashid, 2022-04-13 05:22:21 normalization > json_extract_scalar(stages, "$['label']") as label, 2022-04-13 05:22:21 normalization > json_extract_scalar(stages, "$['active']") as active, 2022-04-13 05:22:21 normalization > json_extract_scalar(stages, "$['stageId']") as stageId, 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > json_extract(stages, "$['metadata']") 2022-04-13 05:22:21 normalization > as metadata, 2022-04-13 05:22:21 normalization > json_extract_scalar(stages, "$['createdAt']") as createdAt, 2022-04-13 05:22:21 normalization > json_extract_scalar(stages, "$['updatedAt']") as updatedAt, 2022-04-13 05:22:21 normalization > json_extract_scalar(stages, "$['displayOrder']") as displayOrder, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:21 normalization > from `mansagroup-datascience`.hubspot_.`deal_pipelines` as table_alias 2022-04-13 05:22:21 normalization > -- stages at deal_pipelines/stages 2022-04-13 05:22:21 normalization > cross join unnest(stages) as stages 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > and stages is not null 2022-04-13 05:22:21 normalization > ), __dbt__cte__deal_pipelines_stages_ab2 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__deal_pipelines_stages_ab1 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > _airbyte_deal_pipelines_hashid, 2022-04-13 05:22:21 normalization > cast(label as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as label, 2022-04-13 05:22:21 normalization > cast(active as boolean) as active, 2022-04-13 05:22:21 normalization > cast(stageId as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as stageId, 2022-04-13 05:22:21 normalization > cast(metadata as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as metadata, 2022-04-13 05:22:21 normalization > cast(createdAt as 2022-04-13 05:22:21 normalization > int64 2022-04-13 05:22:21 normalization > ) as createdAt, 2022-04-13 05:22:21 normalization > cast(updatedAt as 2022-04-13 05:22:21 normalization > int64 2022-04-13 05:22:21 normalization > ) as updatedAt, 2022-04-13 05:22:21 normalization > cast(displayOrder as 2022-04-13 05:22:21 normalization > int64 2022-04-13 05:22:21 normalization > ) as displayOrder, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:21 normalization > from __dbt__cte__deal_pipelines_stages_ab1 2022-04-13 05:22:21 normalization > -- stages at deal_pipelines/stages 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > ), __dbt__cte__deal_pipelines_stages_ab3 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to build a hash column based on the values of this record 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__deal_pipelines_stages_ab2 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > to_hex(md5(cast(concat(coalesce(cast(_airbyte_deal_pipelines_hashid as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(label as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(active as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(stageId as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(metadata as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(createdAt as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(updatedAt as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(displayOrder as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), '')) as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ))) as _airbyte_stages_hashid, 2022-04-13 05:22:21 normalization > tmp.* 2022-04-13 05:22:21 normalization > from __dbt__cte__deal_pipelines_stages_ab2 tmp 2022-04-13 05:22:21 normalization > -- stages at deal_pipelines/stages 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > )-- Final base SQL model 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__deal_pipelines_stages_ab3 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > _airbyte_deal_pipelines_hashid, 2022-04-13 05:22:21 normalization > label, 2022-04-13 05:22:21 normalization > active, 2022-04-13 05:22:21 normalization > stageId, 2022-04-13 05:22:21 normalization > metadata, 2022-04-13 05:22:21 normalization > createdAt, 2022-04-13 05:22:21 normalization > updatedAt, 2022-04-13 05:22:21 normalization > displayOrder, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at, 2022-04-13 05:22:21 normalization > _airbyte_stages_hashid 2022-04-13 05:22:21 normalization > from __dbt__cte__deal_pipelines_stages_ab3 2022-04-13 05:22:21 normalization > -- stages at deal_pipelines/stages from `mansagroup-datascience`.hubspot_.`deal_pipelines` 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > ); 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 05:03:53.559636 [debug] [Thread-2 ]: Writing injected SQL for node "model.airbyte_utils.engagements_meetings_properties_ab3" 2022-04-13 05:22:21 normalization > 05:03:53.560066 [debug] [Thread-2 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:53.560568 [debug] [Thread-2 ]: Finished running node model.airbyte_utils.engagements_meetings_properties_ab3 2022-04-13 05:22:21 normalization > 05:03:53.560797 [debug] [Thread-2 ]: Began running node model.airbyte_utils.deals_dealstage_ab3 2022-04-13 05:22:21 normalization > 05:03:53.561401 [debug] [Thread-2 ]: Acquiring new bigquery connection "model.airbyte_utils.deals_dealstage_ab3" 2022-04-13 05:22:21 normalization > 05:03:53.561706 [debug] [Thread-2 ]: Began compiling node model.airbyte_utils.deals_dealstage_ab3 2022-04-13 05:22:21 normalization > 05:03:53.561881 [debug] [Thread-2 ]: Compiling model.airbyte_utils.deals_dealstage_ab3 2022-04-13 05:22:21 normalization > 05:03:53.568831 [debug] [Thread-2 ]: On "model.airbyte_utils.deals_dealstage_ab3": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:21 normalization > 05:03:53.569039 [debug] [Thread-2 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:53.872399 [debug] [Thread-2 ]: Writing injected SQL for node "model.airbyte_utils.deals_dealstage_ab3" 2022-04-13 05:22:21 normalization > 05:03:53.872779 [debug] [Thread-2 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:53.873243 [debug] [Thread-2 ]: Finished running node model.airbyte_utils.deals_dealstage_ab3 2022-04-13 05:22:21 normalization > 05:03:53.873475 [debug] [Thread-2 ]: Began running node model.airbyte_utils.form_submissions_values 2022-04-13 05:22:21 normalization > 05:03:53.873963 [info ] [Thread-2 ]: 29 of 77 START table model hubspot_.form_submissions_values............................................................. [RUN] 2022-04-13 05:22:21 normalization > 05:03:53.874638 [debug] [Thread-2 ]: Acquiring new bigquery connection "model.airbyte_utils.form_submissions_values" 2022-04-13 05:22:21 normalization > 05:03:53.874818 [debug] [Thread-2 ]: Began compiling node model.airbyte_utils.form_submissions_values 2022-04-13 05:22:21 normalization > 05:03:53.874974 [debug] [Thread-2 ]: Compiling model.airbyte_utils.form_submissions_values 2022-04-13 05:22:21 normalization > 05:03:53.884973 [debug] [Thread-2 ]: Writing injected SQL for node "model.airbyte_utils.form_submissions_values" 2022-04-13 05:22:21 normalization > 05:03:53.885299 [debug] [Thread-2 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:53.885474 [debug] [Thread-2 ]: Began executing node model.airbyte_utils.form_submissions_values 2022-04-13 05:22:21 normalization > 05:03:53.891088 [debug] [Thread-2 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:53.978115 [debug] [Thread-2 ]: Writing runtime SQL for node "model.airbyte_utils.form_submissions_values" 2022-04-13 05:22:21 normalization > 05:03:53.978459 [debug] [Thread-2 ]: On model.airbyte_utils.form_submissions_values: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.form_submissions_values"} */ 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > create or replace table `mansagroup-datascience`.hubspot_.`form_submissions_values` 2022-04-13 05:22:21 normalization > partition by timestamp_trunc(_airbyte_emitted_at, day) 2022-04-13 05:22:21 normalization > cluster by _airbyte_emitted_at 2022-04-13 05:22:21 normalization > OPTIONS() 2022-04-13 05:22:21 normalization > as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > with __dbt__cte__form_submissions_values_ab1 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema 2022-04-13 05:22:21 normalization > -- depends_on: `mansagroup-datascience`.hubspot_.`form_submissions` 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > _airbyte_form_submissions_hashid, 2022-04-13 05:22:21 normalization > json_extract_scalar(values, "$['name']") as name, 2022-04-13 05:22:21 normalization > json_extract_scalar(values, "$['value']") as value, 2022-04-13 05:22:21 normalization > json_extract_scalar(values, "$['objectTypeId']") as objectTypeId, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:21 normalization > from `mansagroup-datascience`.hubspot_.`form_submissions` as table_alias 2022-04-13 05:22:21 normalization > -- values at form_submissions/values 2022-04-13 05:22:21 normalization > cross join unnest(values) as values 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > and values is not null 2022-04-13 05:22:21 normalization > ), __dbt__cte__form_submissions_values_ab2 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__form_submissions_values_ab1 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > _airbyte_form_submissions_hashid, 2022-04-13 05:22:21 normalization > cast(name as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as name, 2022-04-13 05:22:21 normalization > cast(value as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as value, 2022-04-13 05:22:21 normalization > cast(objectTypeId as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as objectTypeId, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:21 normalization > from __dbt__cte__form_submissions_values_ab1 2022-04-13 05:22:21 normalization > -- values at form_submissions/values 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > ), __dbt__cte__form_submissions_values_ab3 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to build a hash column based on the values of this record 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__form_submissions_values_ab2 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > to_hex(md5(cast(concat(coalesce(cast(_airbyte_form_submissions_hashid as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(name as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(value as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(objectTypeId as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), '')) as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ))) as _airbyte_values_hashid, 2022-04-13 05:22:21 normalization > tmp.* 2022-04-13 05:22:21 normalization > from __dbt__cte__form_submissions_values_ab2 tmp 2022-04-13 05:22:21 normalization > -- values at form_submissions/values 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > )-- Final base SQL model 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__form_submissions_values_ab3 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > _airbyte_form_submissions_hashid, 2022-04-13 05:22:21 normalization > name, 2022-04-13 05:22:21 normalization > value, 2022-04-13 05:22:21 normalization > objectTypeId, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at, 2022-04-13 05:22:21 normalization > _airbyte_values_hashid 2022-04-13 05:22:21 normalization > from __dbt__cte__form_submissions_values_ab3 2022-04-13 05:22:21 normalization > -- values at form_submissions/values from `mansagroup-datascience`.hubspot_.`form_submissions` 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > ); 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 05:03:55.157997 [debug] [Thread-1 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:55.158685 [info ] [Thread-1 ]: 28 of 77 OK created table model hubspot_.deal_pipelines_stages.......................................................... [CREATE TABLE (24.0 rows, 4.3 KB processed) in 2.00s] 2022-04-13 05:22:21 normalization > 05:03:55.159125 [debug] [Thread-1 ]: Finished running node model.airbyte_utils.deal_pipelines_stages 2022-04-13 05:22:21 normalization > 05:03:55.159375 [debug] [Thread-1 ]: Began running node model.airbyte_utils.forms_configuration 2022-04-13 05:22:21 normalization > 05:03:55.159980 [info ] [Thread-1 ]: 30 of 77 START table model hubspot_.forms_configuration................................................................. [RUN] 2022-04-13 05:22:21 normalization > 05:03:55.160529 [debug] [Thread-1 ]: Acquiring new bigquery connection "model.airbyte_utils.forms_configuration" 2022-04-13 05:22:21 normalization > 05:03:55.160706 [debug] [Thread-1 ]: Began compiling node model.airbyte_utils.forms_configuration 2022-04-13 05:22:21 normalization > 05:03:55.160863 [debug] [Thread-1 ]: Compiling model.airbyte_utils.forms_configuration 2022-04-13 05:22:21 normalization > 05:03:55.170533 [debug] [Thread-1 ]: Writing injected SQL for node "model.airbyte_utils.forms_configuration" 2022-04-13 05:22:21 normalization > 05:03:55.170861 [debug] [Thread-1 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:55.171030 [debug] [Thread-1 ]: Began executing node model.airbyte_utils.forms_configuration 2022-04-13 05:22:21 normalization > 05:03:55.175029 [debug] [Thread-1 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:55.279075 [debug] [Thread-1 ]: Writing runtime SQL for node "model.airbyte_utils.forms_configuration" 2022-04-13 05:22:21 normalization > 05:03:55.279443 [debug] [Thread-1 ]: On model.airbyte_utils.forms_configuration: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.forms_configuration"} */ 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > create or replace table `mansagroup-datascience`.hubspot_.`forms_configuration` 2022-04-13 05:22:21 normalization > partition by timestamp_trunc(_airbyte_emitted_at, day) 2022-04-13 05:22:21 normalization > cluster by _airbyte_emitted_at 2022-04-13 05:22:21 normalization > OPTIONS() 2022-04-13 05:22:21 normalization > as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > with __dbt__cte__forms_configuration_ab1 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema 2022-04-13 05:22:21 normalization > -- depends_on: `mansagroup-datascience`.hubspot_.`forms` 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > _airbyte_forms_hashid, 2022-04-13 05:22:21 normalization > json_extract_scalar(configuration, "$['editable']") as editable, 2022-04-13 05:22:21 normalization > json_extract_scalar(configuration, "$['language']") as language, 2022-04-13 05:22:21 normalization > json_extract_scalar(configuration, "$['cloneable']") as cloneable, 2022-04-13 05:22:21 normalization > json_extract_scalar(configuration, "$['archivable']") as archivable, 2022-04-13 05:22:21 normalization > json_extract_array(configuration, "$['notifyRecipients']") as notifyRecipients, 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > json_extract(table_alias.configuration, "$['postSubmitAction']") 2022-04-13 05:22:21 normalization > as postSubmitAction, 2022-04-13 05:22:21 normalization > json_extract_scalar(configuration, "$['recaptchaEnabled']") as recaptchaEnabled, 2022-04-13 05:22:21 normalization > json_extract_scalar(configuration, "$['notifyContactOwner']") as notifyContactOwner, 2022-04-13 05:22:21 normalization > json_extract_scalar(configuration, "$['prePopulateKnownValues']") as prePopulateKnownValues, 2022-04-13 05:22:21 normalization > json_extract_scalar(configuration, "$['allowLinkToResetKnownValues']") as allowLinkToResetKnownValues, 2022-04-13 05:22:21 normalization > json_extract_scalar(configuration, "$['createNewContactForNewEmail']") as createNewContactForNewEmail, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:21 normalization > from `mansagroup-datascience`.hubspot_.`forms` as table_alias 2022-04-13 05:22:21 normalization > -- configuration at forms/configuration 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > and configuration is not null 2022-04-13 05:22:21 normalization > ), __dbt__cte__forms_configuration_ab2 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__forms_configuration_ab1 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > _airbyte_forms_hashid, 2022-04-13 05:22:21 normalization > cast(editable as boolean) as editable, 2022-04-13 05:22:21 normalization > cast(language as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as language, 2022-04-13 05:22:21 normalization > cast(cloneable as boolean) as cloneable, 2022-04-13 05:22:21 normalization > cast(archivable as boolean) as archivable, 2022-04-13 05:22:21 normalization > notifyRecipients, 2022-04-13 05:22:21 normalization > cast(postSubmitAction as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as postSubmitAction, 2022-04-13 05:22:21 normalization > cast(recaptchaEnabled as boolean) as recaptchaEnabled, 2022-04-13 05:22:21 normalization > cast(notifyContactOwner as boolean) as notifyContactOwner, 2022-04-13 05:22:21 normalization > cast(prePopulateKnownValues as boolean) as prePopulateKnownValues, 2022-04-13 05:22:21 normalization > cast(allowLinkToResetKnownValues as boolean) as allowLinkToResetKnownValues, 2022-04-13 05:22:21 normalization > cast(createNewContactForNewEmail as boolean) as createNewContactForNewEmail, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:21 normalization > from __dbt__cte__forms_configuration_ab1 2022-04-13 05:22:21 normalization > -- configuration at forms/configuration 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > ), __dbt__cte__forms_configuration_ab3 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to build a hash column based on the values of this record 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__forms_configuration_ab2 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > to_hex(md5(cast(concat(coalesce(cast(_airbyte_forms_hashid as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(editable as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(language as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(cloneable as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(archivable as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(array_to_string(notifyRecipients, "|", "") as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(postSubmitAction as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(recaptchaEnabled as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(notifyContactOwner as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(prePopulateKnownValues as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(allowLinkToResetKnownValues as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(createNewContactForNewEmail as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), '')) as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ))) as _airbyte_configuration_hashid, 2022-04-13 05:22:21 normalization > tmp.* 2022-04-13 05:22:21 normalization > from __dbt__cte__forms_configuration_ab2 tmp 2022-04-13 05:22:21 normalization > -- configuration at forms/configuration 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > )-- Final base SQL model 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__forms_configuration_ab3 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > _airbyte_forms_hashid, 2022-04-13 05:22:21 normalization > editable, 2022-04-13 05:22:21 normalization > language, 2022-04-13 05:22:21 normalization > cloneable, 2022-04-13 05:22:21 normalization > archivable, 2022-04-13 05:22:21 normalization > notifyRecipients, 2022-04-13 05:22:21 normalization > postSubmitAction, 2022-04-13 05:22:21 normalization > recaptchaEnabled, 2022-04-13 05:22:21 normalization > notifyContactOwner, 2022-04-13 05:22:21 normalization > prePopulateKnownValues, 2022-04-13 05:22:21 normalization > allowLinkToResetKnownValues, 2022-04-13 05:22:21 normalization > createNewContactForNewEmail, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at, 2022-04-13 05:22:21 normalization > _airbyte_configuration_hashid 2022-04-13 05:22:21 normalization > from __dbt__cte__forms_configuration_ab3 2022-04-13 05:22:21 normalization > -- configuration at forms/configuration from `mansagroup-datascience`.hubspot_.`forms` 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > ); 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 05:03:55.509416 [debug] [Thread-4 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:55.509998 [info ] [Thread-4 ]: 27 of 77 OK created table model hubspot_.campaigns_counters............................................................. [CREATE TABLE (40.0 rows, 7.8 KB processed) in 2.35s] 2022-04-13 05:22:21 normalization > 05:03:55.510477 [debug] [Thread-4 ]: Finished running node model.airbyte_utils.campaigns_counters 2022-04-13 05:22:21 normalization > 05:03:55.510717 [debug] [Thread-4 ]: Began running node model.airbyte_utils.line_items_properties_ab3 2022-04-13 05:22:21 normalization > 05:03:55.511271 [debug] [Thread-4 ]: Acquiring new bigquery connection "model.airbyte_utils.line_items_properties_ab3" 2022-04-13 05:22:21 normalization > 05:03:55.511454 [debug] [Thread-4 ]: Began compiling node model.airbyte_utils.line_items_properties_ab3 2022-04-13 05:22:21 normalization > 05:03:55.511610 [debug] [Thread-4 ]: Compiling model.airbyte_utils.line_items_properties_ab3 2022-04-13 05:22:21 normalization > 05:03:55.529738 [debug] [Thread-4 ]: On "model.airbyte_utils.line_items_properties_ab3": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:21 normalization > 05:03:55.529966 [debug] [Thread-4 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:55.897916 [debug] [Thread-4 ]: Writing injected SQL for node "model.airbyte_utils.line_items_properties_ab3" 2022-04-13 05:22:21 normalization > 05:03:55.898430 [debug] [Thread-4 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:55.898934 [debug] [Thread-4 ]: Finished running node model.airbyte_utils.line_items_properties_ab3 2022-04-13 05:22:21 normalization > 05:03:55.899171 [debug] [Thread-4 ]: Began running node model.airbyte_utils.contacts_properties_ab3 2022-04-13 05:22:21 normalization > 05:03:55.899814 [debug] [Thread-4 ]: Acquiring new bigquery connection "model.airbyte_utils.contacts_properties_ab3" 2022-04-13 05:22:21 normalization > 05:03:55.900137 [debug] [Thread-4 ]: Began compiling node model.airbyte_utils.contacts_properties_ab3 2022-04-13 05:22:21 normalization > 05:03:55.900392 [debug] [Thread-4 ]: Compiling model.airbyte_utils.contacts_properties_ab3 2022-04-13 05:22:21 normalization > 05:03:55.998148 [debug] [Thread-4 ]: On "model.airbyte_utils.contacts_properties_ab3": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:21 normalization > 05:03:55.998481 [debug] [Thread-4 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:57.883155 [debug] [Thread-1 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:57.894071 [info ] [Thread-1 ]: 30 of 77 OK created table model hubspot_.forms_configuration............................................................ [CREATE TABLE (28.0 rows, 12.8 KB processed) in 2.73s] 2022-04-13 05:22:21 normalization > 05:03:57.914978 [debug] [Thread-1 ]: Finished running node model.airbyte_utils.forms_configuration 2022-04-13 05:22:21 normalization > 05:03:57.920317 [debug] [Thread-1 ]: Began running node model.airbyte_utils.forms_displayOptions 2022-04-13 05:22:21 normalization > 05:03:57.931115 [info ] [Thread-1 ]: 31 of 77 START table model hubspot_.forms_displayOptions................................................................ [RUN] 2022-04-13 05:22:21 normalization > 05:03:57.936764 [debug] [Thread-1 ]: Acquiring new bigquery connection "model.airbyte_utils.forms_displayOptions" 2022-04-13 05:22:21 normalization > 05:03:57.942078 [debug] [Thread-1 ]: Began compiling node model.airbyte_utils.forms_displayOptions 2022-04-13 05:22:21 normalization > 05:03:57.952466 [debug] [Thread-1 ]: Compiling model.airbyte_utils.forms_displayOptions 2022-04-13 05:22:21 normalization > 05:03:57.971214 [debug] [Thread-1 ]: Writing injected SQL for node "model.airbyte_utils.forms_displayOptions" 2022-04-13 05:22:21 normalization > 05:03:57.997040 [debug] [Thread-1 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:58.002365 [debug] [Thread-1 ]: Began executing node model.airbyte_utils.forms_displayOptions 2022-04-13 05:22:21 normalization > 05:03:58.012632 [debug] [Thread-1 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:58.271871 [debug] [Thread-4 ]: Writing injected SQL for node "model.airbyte_utils.contacts_properties_ab3" 2022-04-13 05:22:21 normalization > 05:03:58.272391 [debug] [Thread-4 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:58.272893 [debug] [Thread-4 ]: Finished running node model.airbyte_utils.contacts_properties_ab3 2022-04-13 05:22:21 normalization > 05:03:58.273132 [debug] [Thread-4 ]: Began running node model.airbyte_utils.forms_fieldGroups 2022-04-13 05:22:21 normalization > 05:03:58.273671 [info ] [Thread-4 ]: 32 of 77 START table model hubspot_.forms_fieldGroups................................................................... [RUN] 2022-04-13 05:22:21 normalization > 05:03:58.274461 [debug] [Thread-4 ]: Acquiring new bigquery connection "model.airbyte_utils.forms_fieldGroups" 2022-04-13 05:22:21 normalization > 05:03:58.274661 [debug] [Thread-4 ]: Began compiling node model.airbyte_utils.forms_fieldGroups 2022-04-13 05:22:21 normalization > 05:03:58.274821 [debug] [Thread-4 ]: Compiling model.airbyte_utils.forms_fieldGroups 2022-04-13 05:22:21 normalization > 05:03:58.282916 [debug] [Thread-4 ]: Writing injected SQL for node "model.airbyte_utils.forms_fieldGroups" 2022-04-13 05:22:21 normalization > 05:03:58.283247 [debug] [Thread-4 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:03:58.283424 [debug] [Thread-4 ]: Began executing node model.airbyte_utils.forms_fieldGroups 2022-04-13 05:22:21 normalization > 05:03:58.287528 [debug] [Thread-4 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:03:58.289900 [debug] [Thread-1 ]: Writing runtime SQL for node "model.airbyte_utils.forms_displayOptions" 2022-04-13 05:22:21 normalization > 05:03:58.290245 [debug] [Thread-1 ]: On model.airbyte_utils.forms_displayOptions: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.forms_displayOptions"} */ 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > create or replace table `mansagroup-datascience`.hubspot_.`forms_displayOptions` 2022-04-13 05:22:21 normalization > partition by timestamp_trunc(_airbyte_emitted_at, day) 2022-04-13 05:22:21 normalization > cluster by _airbyte_emitted_at 2022-04-13 05:22:21 normalization > OPTIONS() 2022-04-13 05:22:21 normalization > as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > with __dbt__cte__forms_displayOptions_ab1 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema 2022-04-13 05:22:21 normalization > -- depends_on: `mansagroup-datascience`.hubspot_.`forms` 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > _airbyte_forms_hashid, 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > json_extract(table_alias.displayOptions, "$['style']") 2022-04-13 05:22:21 normalization > as style, 2022-04-13 05:22:21 normalization > json_extract_scalar(displayOptions, "$['theme']") as theme, 2022-04-13 05:22:21 normalization > json_extract_scalar(displayOptions, "$['renderRawHtml']") as renderRawHtml, 2022-04-13 05:22:21 normalization > json_extract_scalar(displayOptions, "$['submitButtonText']") as submitButtonText, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:21 normalization > from `mansagroup-datascience`.hubspot_.`forms` as table_alias 2022-04-13 05:22:21 normalization > -- displayOptions at forms/displayOptions 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > and displayOptions is not null 2022-04-13 05:22:21 normalization > ), __dbt__cte__forms_displayOptions_ab2 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__forms_displayOptions_ab1 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > _airbyte_forms_hashid, 2022-04-13 05:22:21 normalization > cast(style as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as style, 2022-04-13 05:22:21 normalization > cast(theme as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as theme, 2022-04-13 05:22:21 normalization > cast(renderRawHtml as boolean) as renderRawHtml, 2022-04-13 05:22:21 normalization > cast(submitButtonText as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as submitButtonText, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:21 normalization > from __dbt__cte__forms_displayOptions_ab1 2022-04-13 05:22:21 normalization > -- displayOptions at forms/displayOptions 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > ), __dbt__cte__forms_displayOptions_ab3 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to build a hash column based on the values of this record 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__forms_displayOptions_ab2 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > to_hex(md5(cast(concat(coalesce(cast(_airbyte_forms_hashid as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(style as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(theme as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(renderRawHtml as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(submitButtonText as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), '')) as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ))) as _airbyte_displayOptions_hashid, 2022-04-13 05:22:21 normalization > tmp.* 2022-04-13 05:22:21 normalization > from __dbt__cte__forms_displayOptions_ab2 tmp 2022-04-13 05:22:21 normalization > -- displayOptions at forms/displayOptions 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > )-- Final base SQL model 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__forms_displayOptions_ab3 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > _airbyte_forms_hashid, 2022-04-13 05:22:21 normalization > style, 2022-04-13 05:22:21 normalization > theme, 2022-04-13 05:22:21 normalization > renderRawHtml, 2022-04-13 05:22:21 normalization > submitButtonText, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at, 2022-04-13 05:22:21 normalization > _airbyte_displayOptions_hashid 2022-04-13 05:22:21 normalization > from __dbt__cte__forms_displayOptions_ab3 2022-04-13 05:22:21 normalization > -- displayOptions at forms/displayOptions from `mansagroup-datascience`.hubspot_.`forms` 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > ); 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 05:03:58.388344 [debug] [Thread-4 ]: Writing runtime SQL for node "model.airbyte_utils.forms_fieldGroups" 2022-04-13 05:22:21 normalization > 05:03:58.388681 [debug] [Thread-4 ]: On model.airbyte_utils.forms_fieldGroups: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.forms_fieldGroups"} */ 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > create or replace table `mansagroup-datascience`.hubspot_.`forms_fieldGroups` 2022-04-13 05:22:21 normalization > partition by timestamp_trunc(_airbyte_emitted_at, day) 2022-04-13 05:22:21 normalization > cluster by _airbyte_emitted_at 2022-04-13 05:22:21 normalization > OPTIONS() 2022-04-13 05:22:21 normalization > as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > with __dbt__cte__forms_fieldGroups_ab1 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema 2022-04-13 05:22:21 normalization > -- depends_on: `mansagroup-datascience`.hubspot_.`forms` 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > _airbyte_forms_hashid, 2022-04-13 05:22:21 normalization > json_extract_array(fieldGroups, "$['fields']") as fields, 2022-04-13 05:22:21 normalization > json_extract_scalar(fieldGroups, "$['groupType']") as groupType, 2022-04-13 05:22:21 normalization > json_extract_scalar(fieldGroups, "$['richTextType']") as richTextType, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:21 normalization > from `mansagroup-datascience`.hubspot_.`forms` as table_alias 2022-04-13 05:22:21 normalization > -- fieldGroups at forms/fieldGroups 2022-04-13 05:22:21 normalization > cross join unnest(fieldGroups) as fieldGroups 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > and fieldGroups is not null 2022-04-13 05:22:21 normalization > ), __dbt__cte__forms_fieldGroups_ab2 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__forms_fieldGroups_ab1 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > _airbyte_forms_hashid, 2022-04-13 05:22:21 normalization > fields, 2022-04-13 05:22:21 normalization > cast(groupType as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as groupType, 2022-04-13 05:22:21 normalization > cast(richTextType as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as richTextType, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:21 normalization > from __dbt__cte__forms_fieldGroups_ab1 2022-04-13 05:22:21 normalization > -- fieldGroups at forms/fieldGroups 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > ), __dbt__cte__forms_fieldGroups_ab3 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to build a hash column based on the values of this record 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__forms_fieldGroups_ab2 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > to_hex(md5(cast(concat(coalesce(cast(_airbyte_forms_hashid as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(array_to_string(fields, "|", "") as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(groupType as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(richTextType as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), '')) as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ))) as _airbyte_fieldGroups_hashid, 2022-04-13 05:22:21 normalization > tmp.* 2022-04-13 05:22:21 normalization > from __dbt__cte__forms_fieldGroups_ab2 tmp 2022-04-13 05:22:21 normalization > -- fieldGroups at forms/fieldGroups 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > )-- Final base SQL model 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__forms_fieldGroups_ab3 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > _airbyte_forms_hashid, 2022-04-13 05:22:21 normalization > fields, 2022-04-13 05:22:21 normalization > groupType, 2022-04-13 05:22:21 normalization > richTextType, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at, 2022-04-13 05:22:21 normalization > _airbyte_fieldGroups_hashid 2022-04-13 05:22:21 normalization > from __dbt__cte__forms_fieldGroups_ab3 2022-04-13 05:22:21 normalization > -- fieldGroups at forms/fieldGroups from `mansagroup-datascience`.hubspot_.`forms` 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > ); 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 05:03:59.167641 [debug] [Thread-8 ]: 2022-04-13 05:22:21 normalization > In `mansagroup-datascience`.`hubspot_`.`engagements_notes`: 2022-04-13 05:22:21 normalization > Schema changed: False 2022-04-13 05:22:21 normalization > Source columns not in target: [] 2022-04-13 05:22:21 normalization > Target columns not in source: [] 2022-04-13 05:22:21 normalization > New column types: [] 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 05:03:59.169304 [debug] [Thread-8 ]: Writing runtime SQL for node "model.airbyte_utils.engagements_notes" 2022-04-13 05:22:21 normalization > 05:03:59.169705 [debug] [Thread-8 ]: On model.airbyte_utils.engagements_notes: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.engagements_notes"} */ 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > merge into `mansagroup-datascience`.hubspot_.`engagements_notes` as DBT_INTERNAL_DEST 2022-04-13 05:22:21 normalization > using ( 2022-04-13 05:22:21 normalization > select * from `mansagroup-datascience`.hubspot_.`engagements_notes__dbt_tmp` 2022-04-13 05:22:21 normalization > ) as DBT_INTERNAL_SOURCE 2022-04-13 05:22:21 normalization > on 2022-04-13 05:22:21 normalization > DBT_INTERNAL_SOURCE._airbyte_ab_id = DBT_INTERNAL_DEST._airbyte_ab_id 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > when matched then update set 2022-04-13 05:22:21 normalization > `id` = DBT_INTERNAL_SOURCE.`id`,`deals` = DBT_INTERNAL_SOURCE.`deals`,`tickets` = DBT_INTERNAL_SOURCE.`tickets`,`archived` = DBT_INTERNAL_SOURCE.`archived`,`contacts` = DBT_INTERNAL_SOURCE.`contacts`,`companies` = DBT_INTERNAL_SOURCE.`companies`,`createdAt` = DBT_INTERNAL_SOURCE.`createdAt`,`updatedAt` = DBT_INTERNAL_SOURCE.`updatedAt`,`properties` = DBT_INTERNAL_SOURCE.`properties`,`_airbyte_ab_id` = DBT_INTERNAL_SOURCE.`_airbyte_ab_id`,`_airbyte_emitted_at` = DBT_INTERNAL_SOURCE.`_airbyte_emitted_at`,`_airbyte_normalized_at` = DBT_INTERNAL_SOURCE.`_airbyte_normalized_at`,`_airbyte_engagements_notes_hashid` = DBT_INTERNAL_SOURCE.`_airbyte_engagements_notes_hashid` 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > when not matched then insert 2022-04-13 05:22:21 normalization > (`id`, `deals`, `tickets`, `archived`, `contacts`, `companies`, `createdAt`, `updatedAt`, `properties`, `_airbyte_ab_id`, `_airbyte_emitted_at`, `_airbyte_normalized_at`, `_airbyte_engagements_notes_hashid`) 2022-04-13 05:22:21 normalization > values 2022-04-13 05:22:21 normalization > (`id`, `deals`, `tickets`, `archived`, `contacts`, `companies`, `createdAt`, `updatedAt`, `properties`, `_airbyte_ab_id`, `_airbyte_emitted_at`, `_airbyte_normalized_at`, `_airbyte_engagements_notes_hashid`) 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 05:03:59.864680 [debug] [Thread-5 ]: 2022-04-13 05:22:21 normalization > In `mansagroup-datascience`.`hubspot_`.`engagements_tasks`: 2022-04-13 05:22:21 normalization > Schema changed: False 2022-04-13 05:22:21 normalization > Source columns not in target: [] 2022-04-13 05:22:21 normalization > Target columns not in source: [] 2022-04-13 05:22:21 normalization > New column types: [] 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 05:03:59.865862 [debug] [Thread-5 ]: Writing runtime SQL for node "model.airbyte_utils.engagements_tasks" 2022-04-13 05:22:21 normalization > 05:03:59.866262 [debug] [Thread-5 ]: On model.airbyte_utils.engagements_tasks: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.engagements_tasks"} */ 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > merge into `mansagroup-datascience`.hubspot_.`engagements_tasks` as DBT_INTERNAL_DEST 2022-04-13 05:22:21 normalization > using ( 2022-04-13 05:22:21 normalization > select * from `mansagroup-datascience`.hubspot_.`engagements_tasks__dbt_tmp` 2022-04-13 05:22:21 normalization > ) as DBT_INTERNAL_SOURCE 2022-04-13 05:22:21 normalization > on 2022-04-13 05:22:21 normalization > DBT_INTERNAL_SOURCE._airbyte_ab_id = DBT_INTERNAL_DEST._airbyte_ab_id 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > when matched then update set 2022-04-13 05:22:21 normalization > `id` = DBT_INTERNAL_SOURCE.`id`,`deals` = DBT_INTERNAL_SOURCE.`deals`,`tickets` = DBT_INTERNAL_SOURCE.`tickets`,`archived` = DBT_INTERNAL_SOURCE.`archived`,`contacts` = DBT_INTERNAL_SOURCE.`contacts`,`companies` = DBT_INTERNAL_SOURCE.`companies`,`createdAt` = DBT_INTERNAL_SOURCE.`createdAt`,`updatedAt` = DBT_INTERNAL_SOURCE.`updatedAt`,`properties` = DBT_INTERNAL_SOURCE.`properties`,`_airbyte_ab_id` = DBT_INTERNAL_SOURCE.`_airbyte_ab_id`,`_airbyte_emitted_at` = DBT_INTERNAL_SOURCE.`_airbyte_emitted_at`,`_airbyte_normalized_at` = DBT_INTERNAL_SOURCE.`_airbyte_normalized_at`,`_airbyte_engagements_tasks_hashid` = DBT_INTERNAL_SOURCE.`_airbyte_engagements_tasks_hashid` 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > when not matched then insert 2022-04-13 05:22:21 normalization > (`id`, `deals`, `tickets`, `archived`, `contacts`, `companies`, `createdAt`, `updatedAt`, `properties`, `_airbyte_ab_id`, `_airbyte_emitted_at`, `_airbyte_normalized_at`, `_airbyte_engagements_tasks_hashid`) 2022-04-13 05:22:21 normalization > values 2022-04-13 05:22:21 normalization > (`id`, `deals`, `tickets`, `archived`, `contacts`, `companies`, `createdAt`, `updatedAt`, `properties`, `_airbyte_ab_id`, `_airbyte_emitted_at`, `_airbyte_normalized_at`, `_airbyte_engagements_tasks_hashid`) 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 05:04:00.241532 [debug] [Thread-1 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:04:00.242176 [info ] [Thread-1 ]: 31 of 77 OK created table model hubspot_.forms_displayOptions........................................................... [CREATE TABLE (28.0 rows, 14.1 KB processed) in 2.31s] 2022-04-13 05:22:21 normalization > 05:04:00.242639 [debug] [Thread-1 ]: Finished running node model.airbyte_utils.forms_displayOptions 2022-04-13 05:22:21 normalization > 05:04:00.242858 [debug] [Thread-1 ]: Began running node model.airbyte_utils.forms_properties 2022-04-13 05:22:21 normalization > 05:04:00.243402 [info ] [Thread-1 ]: 33 of 77 START table model hubspot_.forms_properties.................................................................... [RUN] 2022-04-13 05:22:21 normalization > 05:04:00.244093 [debug] [Thread-1 ]: Acquiring new bigquery connection "model.airbyte_utils.forms_properties" 2022-04-13 05:22:21 normalization > 05:04:00.244314 [debug] [Thread-1 ]: Began compiling node model.airbyte_utils.forms_properties 2022-04-13 05:22:21 normalization > 05:04:00.244477 [debug] [Thread-1 ]: Compiling model.airbyte_utils.forms_properties 2022-04-13 05:22:21 normalization > 05:04:00.255757 [debug] [Thread-1 ]: Writing injected SQL for node "model.airbyte_utils.forms_properties" 2022-04-13 05:22:21 normalization > 05:04:00.256096 [debug] [Thread-1 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:04:00.256303 [debug] [Thread-1 ]: Began executing node model.airbyte_utils.forms_properties 2022-04-13 05:22:21 normalization > 05:04:00.264370 [debug] [Thread-1 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:04:00.299190 [debug] [Thread-4 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:04:00.299708 [info ] [Thread-4 ]: 32 of 77 OK created table model hubspot_.forms_fieldGroups.............................................................. [CREATE TABLE (147.0 rows, 37.4 KB processed) in 2.03s] 2022-04-13 05:22:21 normalization > 05:04:00.300137 [debug] [Thread-4 ]: Finished running node model.airbyte_utils.forms_fieldGroups 2022-04-13 05:22:21 normalization > 05:04:00.300392 [debug] [Thread-4 ]: Began running node model.airbyte_utils.ticket_pipelines_stages 2022-04-13 05:22:21 normalization > 05:04:00.300776 [info ] [Thread-4 ]: 34 of 77 SKIP relation hubspot_.ticket_pipelines_stages................................................................. [SKIP] 2022-04-13 05:22:21 normalization > 05:04:00.301356 [debug] [Thread-4 ]: Finished running node model.airbyte_utils.ticket_pipelines_stages 2022-04-13 05:22:21 normalization > 05:04:00.301602 [debug] [Thread-4 ]: Began running node model.airbyte_utils.owners_teams 2022-04-13 05:22:21 normalization > 05:04:00.302003 [info ] [Thread-4 ]: 35 of 77 START table model hubspot_.owners_teams........................................................................ [RUN] 2022-04-13 05:22:21 normalization > 05:04:00.302761 [debug] [Thread-4 ]: Acquiring new bigquery connection "model.airbyte_utils.owners_teams" 2022-04-13 05:22:21 normalization > 05:04:00.302946 [debug] [Thread-4 ]: Began compiling node model.airbyte_utils.owners_teams 2022-04-13 05:22:21 normalization > 05:04:00.303159 [debug] [Thread-4 ]: Compiling model.airbyte_utils.owners_teams 2022-04-13 05:22:21 normalization > 05:04:00.311241 [debug] [Thread-4 ]: Writing injected SQL for node "model.airbyte_utils.owners_teams" 2022-04-13 05:22:21 normalization > 05:04:00.311686 [debug] [Thread-4 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:04:00.311865 [debug] [Thread-4 ]: Began executing node model.airbyte_utils.owners_teams 2022-04-13 05:22:21 normalization > 05:04:00.315769 [debug] [Thread-4 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:04:00.366616 [debug] [Thread-1 ]: Writing runtime SQL for node "model.airbyte_utils.forms_properties" 2022-04-13 05:22:21 normalization > 05:04:00.369298 [debug] [Thread-1 ]: On model.airbyte_utils.forms_properties: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.forms_properties"} */ 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > create or replace table `mansagroup-datascience`.hubspot_.`forms_properties` 2022-04-13 05:22:21 normalization > partition by timestamp_trunc(_airbyte_emitted_at, day) 2022-04-13 05:22:21 normalization > cluster by _airbyte_emitted_at 2022-04-13 05:22:21 normalization > OPTIONS() 2022-04-13 05:22:21 normalization > as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > with __dbt__cte__forms_properties_ab1 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema 2022-04-13 05:22:21 normalization > -- depends_on: `mansagroup-datascience`.hubspot_.`forms` 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > _airbyte_forms_hashid, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_name']") as hs_name, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_status']") as hs_status, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_form_id']") as hs_form_id, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_form_type']") as hs_form_type, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_object_id']") as hs_object_id, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_created_at']") as hs_created_at, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_createdate']") as hs_createdate, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_all_team_ids']") as hs_all_team_ids, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_lastmodifieddate']") as hs_lastmodifieddate, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_merged_object_ids']") as hs_merged_object_ids, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_created_by_user_id']") as hs_created_by_user_id, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_updated_by_user_id']") as hs_updated_by_user_id, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_unique_creation_key']") as hs_unique_creation_key, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_user_ids_of_all_owners']") as hs_user_ids_of_all_owners, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_all_accessible_team_ids']") as hs_all_accessible_team_ids, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_marketing_campaign_guid']") as hs_marketing_campaign_guid, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_all_assigned_business_unit_ids']") as hs_all_assigned_business_unit_ids, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_user_ids_of_all_notification_followers']") as hs_user_ids_of_all_notification_followers, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_user_ids_of_all_notification_unfollowers']") as hs_user_ids_of_all_notification_unfollowers, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:21 normalization > from `mansagroup-datascience`.hubspot_.`forms` as table_alias 2022-04-13 05:22:21 normalization > -- properties at forms/properties 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > and properties is not null 2022-04-13 05:22:21 normalization > ), __dbt__cte__forms_properties_ab2 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__forms_properties_ab1 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > _airbyte_forms_hashid, 2022-04-13 05:22:21 normalization > cast(hs_name as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_name, 2022-04-13 05:22:21 normalization > cast(hs_status as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_status, 2022-04-13 05:22:21 normalization > cast(hs_form_id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_form_id, 2022-04-13 05:22:21 normalization > cast(hs_form_type as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_form_type, 2022-04-13 05:22:21 normalization > cast(hs_object_id as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_object_id, 2022-04-13 05:22:21 normalization > cast(nullif(hs_created_at, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_created_at, 2022-04-13 05:22:21 normalization > cast(nullif(hs_createdate, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_createdate, 2022-04-13 05:22:21 normalization > cast(hs_all_team_ids as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_all_team_ids, 2022-04-13 05:22:21 normalization > cast(nullif(hs_lastmodifieddate, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_lastmodifieddate, 2022-04-13 05:22:21 normalization > cast(hs_merged_object_ids as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_merged_object_ids, 2022-04-13 05:22:21 normalization > cast(hs_created_by_user_id as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_created_by_user_id, 2022-04-13 05:22:21 normalization > cast(hs_updated_by_user_id as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_updated_by_user_id, 2022-04-13 05:22:21 normalization > cast(hs_unique_creation_key as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_unique_creation_key, 2022-04-13 05:22:21 normalization > cast(hs_user_ids_of_all_owners as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_user_ids_of_all_owners, 2022-04-13 05:22:21 normalization > cast(hs_all_accessible_team_ids as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_all_accessible_team_ids, 2022-04-13 05:22:21 normalization > cast(hs_marketing_campaign_guid as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_marketing_campaign_guid, 2022-04-13 05:22:21 normalization > cast(hs_all_assigned_business_unit_ids as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_all_assigned_business_unit_ids, 2022-04-13 05:22:21 normalization > cast(hs_user_ids_of_all_notification_followers as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_user_ids_of_all_notification_followers, 2022-04-13 05:22:21 normalization > cast(hs_user_ids_of_all_notification_unfollowers as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_user_ids_of_all_notification_unfollowers, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:21 normalization > from __dbt__cte__forms_properties_ab1 2022-04-13 05:22:21 normalization > -- properties at forms/properties 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > ), __dbt__cte__forms_properties_ab3 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to build a hash column based on the values of this record 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__forms_properties_ab2 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > to_hex(md5(cast(concat(coalesce(cast(_airbyte_forms_hashid as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_name as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_status as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_form_id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_form_type as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_object_id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_created_at as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_createdate as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_all_team_ids as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_lastmodifieddate as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_merged_object_ids as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_created_by_user_id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_updated_by_user_id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_unique_creation_key as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_user_ids_of_all_owners as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_all_accessible_team_ids as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_marketing_campaign_guid as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_all_assigned_business_unit_ids as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_user_ids_of_all_notification_followers as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_user_ids_of_all_notification_unfollowers as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), '')) as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ))) as _airbyte_properties_hashid, 2022-04-13 05:22:21 normalization > tmp.* 2022-04-13 05:22:21 normalization > from __dbt__cte__forms_properties_ab2 tmp 2022-04-13 05:22:21 normalization > -- properties at forms/properties 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > )-- Final base SQL model 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__forms_properties_ab3 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > _airbyte_forms_hashid, 2022-04-13 05:22:21 normalization > hs_name, 2022-04-13 05:22:21 normalization > hs_status, 2022-04-13 05:22:21 normalization > hs_form_id, 2022-04-13 05:22:21 normalization > hs_form_type, 2022-04-13 05:22:21 normalization > hs_object_id, 2022-04-13 05:22:21 normalization > hs_created_at, 2022-04-13 05:22:21 normalization > hs_createdate, 2022-04-13 05:22:21 normalization > hs_all_team_ids, 2022-04-13 05:22:21 normalization > hs_lastmodifieddate, 2022-04-13 05:22:21 normalization > hs_merged_object_ids, 2022-04-13 05:22:21 normalization > hs_created_by_user_id, 2022-04-13 05:22:21 normalization > hs_updated_by_user_id, 2022-04-13 05:22:21 normalization > hs_unique_creation_key, 2022-04-13 05:22:21 normalization > hs_user_ids_of_all_owners, 2022-04-13 05:22:21 normalization > hs_all_accessible_team_ids, 2022-04-13 05:22:21 normalization > hs_marketing_campaign_guid, 2022-04-13 05:22:21 normalization > hs_all_assigned_business_unit_ids, 2022-04-13 05:22:21 normalization > hs_user_ids_of_all_notification_followers, 2022-04-13 05:22:21 normalization > hs_user_ids_of_all_notification_unfollowers, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at, 2022-04-13 05:22:21 normalization > _airbyte_properties_hashid 2022-04-13 05:22:21 normalization > from __dbt__cte__forms_properties_ab3 2022-04-13 05:22:21 normalization > -- properties at forms/properties from `mansagroup-datascience`.hubspot_.`forms` 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > ); 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 05:04:00.408369 [debug] [Thread-4 ]: Writing runtime SQL for node "model.airbyte_utils.owners_teams" 2022-04-13 05:22:21 normalization > 05:04:00.408692 [debug] [Thread-4 ]: On model.airbyte_utils.owners_teams: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.owners_teams"} */ 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > create or replace table `mansagroup-datascience`.hubspot_.`owners_teams` 2022-04-13 05:22:21 normalization > partition by timestamp_trunc(_airbyte_emitted_at, day) 2022-04-13 05:22:21 normalization > cluster by _airbyte_emitted_at 2022-04-13 05:22:21 normalization > OPTIONS() 2022-04-13 05:22:21 normalization > as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > with __dbt__cte__owners_teams_ab1 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema 2022-04-13 05:22:21 normalization > -- depends_on: `mansagroup-datascience`.hubspot_.`owners` 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > _airbyte_owners_hashid, 2022-04-13 05:22:21 normalization > json_extract_scalar(teams, "$['id']") as id, 2022-04-13 05:22:21 normalization > json_extract_scalar(teams, "$['name']") as name, 2022-04-13 05:22:21 normalization > json_extract_scalar(teams, "$['membership']") as membership, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:21 normalization > from `mansagroup-datascience`.hubspot_.`owners` as table_alias 2022-04-13 05:22:21 normalization > -- teams at owners/teams 2022-04-13 05:22:21 normalization > cross join unnest(teams) as teams 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > and teams is not null 2022-04-13 05:22:21 normalization > ), __dbt__cte__owners_teams_ab2 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__owners_teams_ab1 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > _airbyte_owners_hashid, 2022-04-13 05:22:21 normalization > cast(id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as id, 2022-04-13 05:22:21 normalization > cast(name as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as name, 2022-04-13 05:22:21 normalization > cast(membership as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as membership, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:21 normalization > from __dbt__cte__owners_teams_ab1 2022-04-13 05:22:21 normalization > -- teams at owners/teams 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > ), __dbt__cte__owners_teams_ab3 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to build a hash column based on the values of this record 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__owners_teams_ab2 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > to_hex(md5(cast(concat(coalesce(cast(_airbyte_owners_hashid as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(name as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(membership as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), '')) as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ))) as _airbyte_teams_hashid, 2022-04-13 05:22:21 normalization > tmp.* 2022-04-13 05:22:21 normalization > from __dbt__cte__owners_teams_ab2 tmp 2022-04-13 05:22:21 normalization > -- teams at owners/teams 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > )-- Final base SQL model 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__owners_teams_ab3 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > _airbyte_owners_hashid, 2022-04-13 05:22:21 normalization > id, 2022-04-13 05:22:21 normalization > name, 2022-04-13 05:22:21 normalization > membership, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at, 2022-04-13 05:22:21 normalization > _airbyte_teams_hashid 2022-04-13 05:22:21 normalization > from __dbt__cte__owners_teams_ab3 2022-04-13 05:22:21 normalization > -- teams at owners/teams from `mansagroup-datascience`.hubspot_.`owners` 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > ); 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 05:04:00.453032 [debug] [Thread-2 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:04:00.453579 [info ] [Thread-2 ]: 29 of 77 OK created table model hubspot_.form_submissions_values........................................................ [CREATE TABLE (312.9k rows, 40.5 MB processed) in 6.58s] 2022-04-13 05:22:21 normalization > 05:04:00.453985 [debug] [Thread-2 ]: Finished running node model.airbyte_utils.form_submissions_values 2022-04-13 05:22:21 normalization > 05:04:00.454181 [debug] [Thread-2 ]: Began running node model.airbyte_utils.workflows_contactListIds 2022-04-13 05:22:21 normalization > 05:04:00.454622 [info ] [Thread-2 ]: 36 of 77 START table model hubspot_.workflows_contactListIds............................................................ [RUN] 2022-04-13 05:22:21 normalization > 05:04:00.455132 [debug] [Thread-2 ]: Acquiring new bigquery connection "model.airbyte_utils.workflows_contactListIds" 2022-04-13 05:22:21 normalization > 05:04:00.455336 [debug] [Thread-2 ]: Began compiling node model.airbyte_utils.workflows_contactListIds 2022-04-13 05:22:21 normalization > 05:04:00.455491 [debug] [Thread-2 ]: Compiling model.airbyte_utils.workflows_contactListIds 2022-04-13 05:22:21 normalization > 05:04:00.463524 [debug] [Thread-2 ]: Writing injected SQL for node "model.airbyte_utils.workflows_contactListIds" 2022-04-13 05:22:21 normalization > 05:04:00.463831 [debug] [Thread-2 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:04:00.463999 [debug] [Thread-2 ]: Began executing node model.airbyte_utils.workflows_contactListIds 2022-04-13 05:22:21 normalization > 05:04:00.467870 [debug] [Thread-2 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:04:00.570347 [debug] [Thread-2 ]: Writing runtime SQL for node "model.airbyte_utils.workflows_contactListIds" 2022-04-13 05:22:21 normalization > 05:04:00.570700 [debug] [Thread-2 ]: On model.airbyte_utils.workflows_contactListIds: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.workflows_contactListIds"} */ 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > create or replace table `mansagroup-datascience`.hubspot_.`workflows_contactListIds` 2022-04-13 05:22:21 normalization > partition by timestamp_trunc(_airbyte_emitted_at, day) 2022-04-13 05:22:21 normalization > cluster by _airbyte_emitted_at 2022-04-13 05:22:21 normalization > OPTIONS() 2022-04-13 05:22:21 normalization > as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > with __dbt__cte__workflows_contactListIds_ab1 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema 2022-04-13 05:22:21 normalization > -- depends_on: `mansagroup-datascience`.hubspot_.`workflows` 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > _airbyte_workflows_hashid, 2022-04-13 05:22:21 normalization > json_extract_array(contactListIds, "$['steps']") as steps, 2022-04-13 05:22:21 normalization > json_extract_scalar(contactListIds, "$['active']") as active, 2022-04-13 05:22:21 normalization > json_extract_scalar(contactListIds, "$['enrolled']") as enrolled, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:21 normalization > from `mansagroup-datascience`.hubspot_.`workflows` as table_alias 2022-04-13 05:22:21 normalization > -- contactListIds at workflows/contactListIds 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > and contactListIds is not null 2022-04-13 05:22:21 normalization > ), __dbt__cte__workflows_contactListIds_ab2 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__workflows_contactListIds_ab1 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > _airbyte_workflows_hashid, 2022-04-13 05:22:21 normalization > steps, 2022-04-13 05:22:21 normalization > cast(active as 2022-04-13 05:22:21 normalization > int64 2022-04-13 05:22:21 normalization > ) as active, 2022-04-13 05:22:21 normalization > cast(enrolled as 2022-04-13 05:22:21 normalization > int64 2022-04-13 05:22:21 normalization > ) as enrolled, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:21 normalization > from __dbt__cte__workflows_contactListIds_ab1 2022-04-13 05:22:21 normalization > -- contactListIds at workflows/contactListIds 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > ), __dbt__cte__workflows_contactListIds_ab3 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to build a hash column based on the values of this record 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__workflows_contactListIds_ab2 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > to_hex(md5(cast(concat(coalesce(cast(_airbyte_workflows_hashid as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(array_to_string(steps, "|", "") as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(active as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(enrolled as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), '')) as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ))) as _airbyte_contactListIds_hashid, 2022-04-13 05:22:21 normalization > tmp.* 2022-04-13 05:22:21 normalization > from __dbt__cte__workflows_contactListIds_ab2 tmp 2022-04-13 05:22:21 normalization > -- contactListIds at workflows/contactListIds 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > )-- Final base SQL model 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__workflows_contactListIds_ab3 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > _airbyte_workflows_hashid, 2022-04-13 05:22:21 normalization > steps, 2022-04-13 05:22:21 normalization > active, 2022-04-13 05:22:21 normalization > enrolled, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at, 2022-04-13 05:22:21 normalization > _airbyte_contactListIds_hashid 2022-04-13 05:22:21 normalization > from __dbt__cte__workflows_contactListIds_ab3 2022-04-13 05:22:21 normalization > -- contactListIds at workflows/contactListIds from `mansagroup-datascience`.hubspot_.`workflows` 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > ); 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 05:04:02.310157 [debug] [Thread-4 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:04:02.310818 [info ] [Thread-4 ]: 35 of 77 OK created table model hubspot_.owners_teams................................................................... [CREATE TABLE (20.0 rows, 3.7 KB processed) in 2.01s] 2022-04-13 05:22:21 normalization > 05:04:02.311367 [debug] [Thread-4 ]: Finished running node model.airbyte_utils.owners_teams 2022-04-13 05:22:21 normalization > 05:04:02.311649 [debug] [Thread-4 ]: Began running node model.airbyte_utils.marketing_emails_stats 2022-04-13 05:22:21 normalization > 05:04:02.312130 [info ] [Thread-4 ]: 37 of 77 START table model hubspot_.marketing_emails_stats.............................................................. [RUN] 2022-04-13 05:22:21 normalization > 05:04:02.312697 [debug] [Thread-4 ]: Acquiring new bigquery connection "model.airbyte_utils.marketing_emails_stats" 2022-04-13 05:22:21 normalization > 05:04:02.312894 [debug] [Thread-4 ]: Began compiling node model.airbyte_utils.marketing_emails_stats 2022-04-13 05:22:21 normalization > 05:04:02.313055 [debug] [Thread-4 ]: Compiling model.airbyte_utils.marketing_emails_stats 2022-04-13 05:22:21 normalization > 05:04:02.325893 [debug] [Thread-4 ]: Writing injected SQL for node "model.airbyte_utils.marketing_emails_stats" 2022-04-13 05:22:21 normalization > 05:04:02.326240 [debug] [Thread-4 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:04:02.326419 [debug] [Thread-4 ]: Began executing node model.airbyte_utils.marketing_emails_stats 2022-04-13 05:22:21 normalization > 05:04:02.330483 [debug] [Thread-4 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:04:02.425737 [debug] [Thread-4 ]: Writing runtime SQL for node "model.airbyte_utils.marketing_emails_stats" 2022-04-13 05:22:21 normalization > 05:04:02.426081 [debug] [Thread-4 ]: On model.airbyte_utils.marketing_emails_stats: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.marketing_emails_stats"} */ 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > create or replace table `mansagroup-datascience`.hubspot_.`marketing_emails_stats` 2022-04-13 05:22:21 normalization > partition by timestamp_trunc(_airbyte_emitted_at, day) 2022-04-13 05:22:21 normalization > cluster by _airbyte_emitted_at 2022-04-13 05:22:21 normalization > OPTIONS() 2022-04-13 05:22:21 normalization > as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > with __dbt__cte__marketing_emails_stats_ab1 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema 2022-04-13 05:22:21 normalization > -- depends_on: `mansagroup-datascience`.hubspot_.`marketing_emails` 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > _airbyte_marketing_emails_hashid, 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > json_extract(table_alias.stats, "$['ratios']") 2022-04-13 05:22:21 normalization > as ratios, 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > json_extract(table_alias.stats, "$['counters']") 2022-04-13 05:22:21 normalization > as counters, 2022-04-13 05:22:21 normalization > json_extract_scalar(stats, "$['failedToLoad']") as failedToLoad, 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > json_extract(table_alias.stats, "$['deviceBreakdown']") 2022-04-13 05:22:21 normalization > as deviceBreakdown, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:21 normalization > from `mansagroup-datascience`.hubspot_.`marketing_emails` as table_alias 2022-04-13 05:22:21 normalization > -- stats at marketing_emails/stats 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > and stats is not null 2022-04-13 05:22:21 normalization > ), __dbt__cte__marketing_emails_stats_ab2 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__marketing_emails_stats_ab1 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > _airbyte_marketing_emails_hashid, 2022-04-13 05:22:21 normalization > cast(ratios as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as ratios, 2022-04-13 05:22:21 normalization > cast(counters as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as counters, 2022-04-13 05:22:21 normalization > cast(failedToLoad as boolean) as failedToLoad, 2022-04-13 05:22:21 normalization > cast(deviceBreakdown as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as deviceBreakdown, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:21 normalization > from __dbt__cte__marketing_emails_stats_ab1 2022-04-13 05:22:21 normalization > -- stats at marketing_emails/stats 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > ), __dbt__cte__marketing_emails_stats_ab3 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to build a hash column based on the values of this record 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__marketing_emails_stats_ab2 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > to_hex(md5(cast(concat(coalesce(cast(_airbyte_marketing_emails_hashid as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(ratios as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(counters as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(failedToLoad as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(deviceBreakdown as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), '')) as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ))) as _airbyte_stats_hashid, 2022-04-13 05:22:21 normalization > tmp.* 2022-04-13 05:22:21 normalization > from __dbt__cte__marketing_emails_stats_ab2 tmp 2022-04-13 05:22:21 normalization > -- stats at marketing_emails/stats 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > )-- Final base SQL model 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__marketing_emails_stats_ab3 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > _airbyte_marketing_emails_hashid, 2022-04-13 05:22:21 normalization > ratios, 2022-04-13 05:22:21 normalization > counters, 2022-04-13 05:22:21 normalization > failedToLoad, 2022-04-13 05:22:21 normalization > deviceBreakdown, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at, 2022-04-13 05:22:21 normalization > _airbyte_stats_hashid 2022-04-13 05:22:21 normalization > from __dbt__cte__marketing_emails_stats_ab3 2022-04-13 05:22:21 normalization > -- stats at marketing_emails/stats from `mansagroup-datascience`.hubspot_.`marketing_emails` 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > ); 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 05:04:02.477554 [debug] [Thread-2 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:04:02.478069 [info ] [Thread-2 ]: 36 of 77 OK created table model hubspot_.workflows_contactListIds....................................................... [CREATE TABLE (84.0 rows, 11.9 KB processed) in 2.02s] 2022-04-13 05:22:21 normalization > 05:04:02.478489 [debug] [Thread-2 ]: Finished running node model.airbyte_utils.workflows_contactListIds 2022-04-13 05:22:21 normalization > 05:04:02.478687 [debug] [Thread-2 ]: Began running node model.airbyte_utils.products_properties_ab3 2022-04-13 05:22:21 normalization > 05:04:02.479223 [debug] [Thread-2 ]: Acquiring new bigquery connection "model.airbyte_utils.products_properties_ab3" 2022-04-13 05:22:21 normalization > 05:04:02.479405 [debug] [Thread-2 ]: Began compiling node model.airbyte_utils.products_properties_ab3 2022-04-13 05:22:21 normalization > 05:04:02.479562 [debug] [Thread-2 ]: Compiling model.airbyte_utils.products_properties_ab3 2022-04-13 05:22:21 normalization > 05:04:02.491842 [debug] [Thread-2 ]: On "model.airbyte_utils.products_properties_ab3": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:21 normalization > 05:04:02.492051 [debug] [Thread-2 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:04:02.536393 [debug] [Thread-1 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:04:02.536897 [info ] [Thread-1 ]: 33 of 77 OK created table model hubspot_.forms_properties............................................................... [CREATE TABLE (0.0 rows, 2.2 KB processed) in 2.29s] 2022-04-13 05:22:21 normalization > 05:04:02.537311 [debug] [Thread-1 ]: Finished running node model.airbyte_utils.forms_properties 2022-04-13 05:22:21 normalization > 05:04:02.537512 [debug] [Thread-1 ]: Began running node model.airbyte_utils.contact_lists_filters 2022-04-13 05:22:21 normalization > 05:04:02.537914 [info ] [Thread-1 ]: 38 of 77 START incremental model hubspot_.contact_lists_filters......................................................... [RUN] 2022-04-13 05:22:21 normalization > 05:04:02.538413 [debug] [Thread-1 ]: Acquiring new bigquery connection "model.airbyte_utils.contact_lists_filters" 2022-04-13 05:22:21 normalization > 05:04:02.538591 [debug] [Thread-1 ]: Began compiling node model.airbyte_utils.contact_lists_filters 2022-04-13 05:22:21 normalization > 05:04:02.538753 [debug] [Thread-1 ]: Compiling model.airbyte_utils.contact_lists_filters 2022-04-13 05:22:21 normalization > 05:04:02.547959 [debug] [Thread-1 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:04:02.648747 [debug] [Thread-1 ]: Writing injected SQL for node "model.airbyte_utils.contact_lists_filters" 2022-04-13 05:22:21 normalization > 05:04:02.649094 [debug] [Thread-1 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:04:02.649293 [debug] [Thread-1 ]: Began executing node model.airbyte_utils.contact_lists_filters 2022-04-13 05:22:21 normalization > 05:04:02.701132 [debug] [Thread-1 ]: On model.airbyte_utils.contact_lists_filters: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.contact_lists_filters"} */ 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > create or replace table `mansagroup-datascience`.hubspot_.`contact_lists_filters__dbt_tmp` 2022-04-13 05:22:21 normalization > partition by timestamp_trunc(_airbyte_emitted_at, day) 2022-04-13 05:22:21 normalization > cluster by _airbyte_emitted_at 2022-04-13 05:22:21 normalization > OPTIONS( 2022-04-13 05:22:21 normalization > expiration_timestamp=TIMESTAMP_ADD(CURRENT_TIMESTAMP(), INTERVAL 12 hour) 2022-04-13 05:22:21 normalization > ) 2022-04-13 05:22:21 normalization > as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > with __dbt__cte__contact_lists_filters_ab1 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema 2022-04-13 05:22:21 normalization > -- depends_on: `mansagroup-datascience`.hubspot_.`contact_lists` 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > _airbyte_contact_lists_hashid, 2022-04-13 05:22:21 normalization > json_extract_scalar(filters, "$['type']") as type, 2022-04-13 05:22:21 normalization > json_extract_scalar(filters, "$['value']") as value, 2022-04-13 05:22:21 normalization > json_extract_scalar(filters, "$['operator']") as operator, 2022-04-13 05:22:21 normalization > json_extract_scalar(filters, "$['property']") as property, 2022-04-13 05:22:21 normalization > json_extract_scalar(filters, "$['filterFamily']") as filterFamily, 2022-04-13 05:22:21 normalization > json_extract_scalar(filters, "$['withinTimeMode']") as withinTimeMode, 2022-04-13 05:22:21 normalization > json_extract_scalar(filters, "$['checkPastVersions']") as checkPastVersions, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:21 normalization > from `mansagroup-datascience`.hubspot_.`contact_lists` as table_alias 2022-04-13 05:22:21 normalization > -- filters at contact_lists/filters 2022-04-13 05:22:21 normalization > cross join unnest(filters) as filters 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > and filters is not null 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > ), __dbt__cte__contact_lists_filters_ab2 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__contact_lists_filters_ab1 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > _airbyte_contact_lists_hashid, 2022-04-13 05:22:21 normalization > cast(type as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as type, 2022-04-13 05:22:21 normalization > cast(value as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as value, 2022-04-13 05:22:21 normalization > cast(operator as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as operator, 2022-04-13 05:22:21 normalization > cast(property as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as property, 2022-04-13 05:22:21 normalization > cast(filterFamily as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as filterFamily, 2022-04-13 05:22:21 normalization > cast(withinTimeMode as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as withinTimeMode, 2022-04-13 05:22:21 normalization > cast(checkPastVersions as boolean) as checkPastVersions, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:21 normalization > from __dbt__cte__contact_lists_filters_ab1 2022-04-13 05:22:21 normalization > -- filters at contact_lists/filters 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > ), __dbt__cte__contact_lists_filters_ab3 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to build a hash column based on the values of this record 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__contact_lists_filters_ab2 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > to_hex(md5(cast(concat(coalesce(cast(_airbyte_contact_lists_hashid as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(type as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(value as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(operator as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(property as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(filterFamily as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(withinTimeMode as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(checkPastVersions as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), '')) as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ))) as _airbyte_filters_hashid, 2022-04-13 05:22:21 normalization > tmp.* 2022-04-13 05:22:21 normalization > from __dbt__cte__contact_lists_filters_ab2 tmp 2022-04-13 05:22:21 normalization > -- filters at contact_lists/filters 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > )-- Final base SQL model 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__contact_lists_filters_ab3 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > _airbyte_contact_lists_hashid, 2022-04-13 05:22:21 normalization > type, 2022-04-13 05:22:21 normalization > value, 2022-04-13 05:22:21 normalization > operator, 2022-04-13 05:22:21 normalization > property, 2022-04-13 05:22:21 normalization > filterFamily, 2022-04-13 05:22:21 normalization > withinTimeMode, 2022-04-13 05:22:21 normalization > checkPastVersions, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at, 2022-04-13 05:22:21 normalization > _airbyte_filters_hashid 2022-04-13 05:22:21 normalization > from __dbt__cte__contact_lists_filters_ab3 2022-04-13 05:22:21 normalization > -- filters at contact_lists/filters from `mansagroup-datascience`.hubspot_.`contact_lists` 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > and coalesce( 2022-04-13 05:22:21 normalization > cast(_airbyte_emitted_at as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) >= (select max(cast(_airbyte_emitted_at as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > )) from `mansagroup-datascience`.hubspot_.`contact_lists_filters`), 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > true) 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > ); 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 05:04:02.842529 [debug] [Thread-2 ]: Writing injected SQL for node "model.airbyte_utils.products_properties_ab3" 2022-04-13 05:22:21 normalization > 05:04:02.843031 [debug] [Thread-2 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:04:02.843530 [debug] [Thread-2 ]: Finished running node model.airbyte_utils.products_properties_ab3 2022-04-13 05:22:21 normalization > 05:04:02.843761 [debug] [Thread-2 ]: Began running node model.airbyte_utils.contact_lists_metaData 2022-04-13 05:22:21 normalization > 05:04:02.844262 [info ] [Thread-2 ]: 39 of 77 START incremental model hubspot_.contact_lists_metaData........................................................ [RUN] 2022-04-13 05:22:21 normalization > 05:04:02.844963 [debug] [Thread-2 ]: Acquiring new bigquery connection "model.airbyte_utils.contact_lists_metaData" 2022-04-13 05:22:21 normalization > 05:04:02.845139 [debug] [Thread-2 ]: Began compiling node model.airbyte_utils.contact_lists_metaData 2022-04-13 05:22:21 normalization > 05:04:02.845326 [debug] [Thread-2 ]: Compiling model.airbyte_utils.contact_lists_metaData 2022-04-13 05:22:21 normalization > 05:04:02.852626 [debug] [Thread-2 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:04:02.944486 [debug] [Thread-2 ]: Writing injected SQL for node "model.airbyte_utils.contact_lists_metaData" 2022-04-13 05:22:21 normalization > 05:04:02.944822 [debug] [Thread-2 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:04:02.944999 [debug] [Thread-2 ]: Began executing node model.airbyte_utils.contact_lists_metaData 2022-04-13 05:22:21 normalization > 05:04:02.991248 [debug] [Thread-2 ]: On model.airbyte_utils.contact_lists_metaData: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.contact_lists_metaData"} */ 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > create or replace table `mansagroup-datascience`.hubspot_.`contact_lists_metaData__dbt_tmp` 2022-04-13 05:22:21 normalization > partition by timestamp_trunc(_airbyte_emitted_at, day) 2022-04-13 05:22:21 normalization > cluster by _airbyte_emitted_at 2022-04-13 05:22:21 normalization > OPTIONS( 2022-04-13 05:22:21 normalization > expiration_timestamp=TIMESTAMP_ADD(CURRENT_TIMESTAMP(), INTERVAL 12 hour) 2022-04-13 05:22:21 normalization > ) 2022-04-13 05:22:21 normalization > as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > with __dbt__cte__contact_lists_metaData_ab1 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema 2022-04-13 05:22:21 normalization > -- depends_on: `mansagroup-datascience`.hubspot_.`contact_lists` 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > _airbyte_contact_lists_hashid, 2022-04-13 05:22:21 normalization > json_extract_scalar(metaData, "$['size']") as size, 2022-04-13 05:22:21 normalization > json_extract_scalar(metaData, "$['error']") as error, 2022-04-13 05:22:21 normalization > json_extract_scalar(metaData, "$['processing']") as processing, 2022-04-13 05:22:21 normalization > json_extract_scalar(metaData, "$['lastSizeChangeAt']") as lastSizeChangeAt, 2022-04-13 05:22:21 normalization > json_extract_scalar(metaData, "$['lastProcessingStateChangeAt']") as lastProcessingStateChangeAt, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:21 normalization > from `mansagroup-datascience`.hubspot_.`contact_lists` as table_alias 2022-04-13 05:22:21 normalization > -- metaData at contact_lists/metaData 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > and metaData is not null 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > ), __dbt__cte__contact_lists_metaData_ab2 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__contact_lists_metaData_ab1 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > _airbyte_contact_lists_hashid, 2022-04-13 05:22:21 normalization > cast(size as 2022-04-13 05:22:21 normalization > int64 2022-04-13 05:22:21 normalization > ) as size, 2022-04-13 05:22:21 normalization > cast(error as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as error, 2022-04-13 05:22:21 normalization > cast(processing as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as processing, 2022-04-13 05:22:21 normalization > cast(lastSizeChangeAt as 2022-04-13 05:22:21 normalization > int64 2022-04-13 05:22:21 normalization > ) as lastSizeChangeAt, 2022-04-13 05:22:21 normalization > cast(lastProcessingStateChangeAt as 2022-04-13 05:22:21 normalization > int64 2022-04-13 05:22:21 normalization > ) as lastProcessingStateChangeAt, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:21 normalization > from __dbt__cte__contact_lists_metaData_ab1 2022-04-13 05:22:21 normalization > -- metaData at contact_lists/metaData 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > ), __dbt__cte__contact_lists_metaData_ab3 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to build a hash column based on the values of this record 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__contact_lists_metaData_ab2 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > to_hex(md5(cast(concat(coalesce(cast(_airbyte_contact_lists_hashid as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(size as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(error as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(processing as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(lastSizeChangeAt as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(lastProcessingStateChangeAt as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), '')) as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ))) as _airbyte_metaData_hashid, 2022-04-13 05:22:21 normalization > tmp.* 2022-04-13 05:22:21 normalization > from __dbt__cte__contact_lists_metaData_ab2 tmp 2022-04-13 05:22:21 normalization > -- metaData at contact_lists/metaData 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > )-- Final base SQL model 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__contact_lists_metaData_ab3 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > _airbyte_contact_lists_hashid, 2022-04-13 05:22:21 normalization > size, 2022-04-13 05:22:21 normalization > error, 2022-04-13 05:22:21 normalization > processing, 2022-04-13 05:22:21 normalization > lastSizeChangeAt, 2022-04-13 05:22:21 normalization > lastProcessingStateChangeAt, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at, 2022-04-13 05:22:21 normalization > _airbyte_metaData_hashid 2022-04-13 05:22:21 normalization > from __dbt__cte__contact_lists_metaData_ab3 2022-04-13 05:22:21 normalization > -- metaData at contact_lists/metaData from `mansagroup-datascience`.hubspot_.`contact_lists` 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > and coalesce( 2022-04-13 05:22:21 normalization > cast(_airbyte_emitted_at as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) >= (select max(cast(_airbyte_emitted_at as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > )) from `mansagroup-datascience`.hubspot_.`contact_lists_metaData`), 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > true) 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > ); 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 05:04:04.894121 [debug] [Thread-4 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:04:04.894789 [info ] [Thread-4 ]: 37 of 77 OK created table model hubspot_.marketing_emails_stats......................................................... [CREATE TABLE (35.0 rows, 28.0 KB processed) in 2.58s] 2022-04-13 05:22:21 normalization > 05:04:04.895235 [debug] [Thread-4 ]: Finished running node model.airbyte_utils.marketing_emails_stats 2022-04-13 05:22:21 normalization > 05:04:04.895449 [debug] [Thread-4 ]: Began running node model.airbyte_utils.deals_properties_ab3 2022-04-13 05:22:21 normalization > 05:04:04.896016 [debug] [Thread-4 ]: Acquiring new bigquery connection "model.airbyte_utils.deals_properties_ab3" 2022-04-13 05:22:21 normalization > 05:04:04.896409 [debug] [Thread-4 ]: Began compiling node model.airbyte_utils.deals_properties_ab3 2022-04-13 05:22:21 normalization > 05:04:04.896587 [debug] [Thread-4 ]: Compiling model.airbyte_utils.deals_properties_ab3 2022-04-13 05:22:21 normalization > 05:04:04.983579 [debug] [Thread-4 ]: On "model.airbyte_utils.deals_properties_ab3": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:21 normalization > 05:04:04.983849 [debug] [Thread-4 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:04:05.059572 [debug] [Thread-2 ]: 2022-04-13 05:22:21 normalization > In `mansagroup-datascience`.`hubspot_`.`contact_lists_metaData`: 2022-04-13 05:22:21 normalization > Schema changed: False 2022-04-13 05:22:21 normalization > Source columns not in target: [] 2022-04-13 05:22:21 normalization > Target columns not in source: [] 2022-04-13 05:22:21 normalization > New column types: [] 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 05:04:05.060548 [debug] [Thread-2 ]: Writing runtime SQL for node "model.airbyte_utils.contact_lists_metaData" 2022-04-13 05:22:21 normalization > 05:04:05.060889 [debug] [Thread-2 ]: On model.airbyte_utils.contact_lists_metaData: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.contact_lists_metaData"} */ 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > merge into `mansagroup-datascience`.hubspot_.`contact_lists_metaData` as DBT_INTERNAL_DEST 2022-04-13 05:22:21 normalization > using ( 2022-04-13 05:22:21 normalization > select * from `mansagroup-datascience`.hubspot_.`contact_lists_metaData__dbt_tmp` 2022-04-13 05:22:21 normalization > ) as DBT_INTERNAL_SOURCE 2022-04-13 05:22:21 normalization > on FALSE 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > when not matched then insert 2022-04-13 05:22:21 normalization > (`_airbyte_contact_lists_hashid`, `size`, `error`, `processing`, `lastSizeChangeAt`, `lastProcessingStateChangeAt`, `_airbyte_ab_id`, `_airbyte_emitted_at`, `_airbyte_normalized_at`, `_airbyte_metaData_hashid`) 2022-04-13 05:22:21 normalization > values 2022-04-13 05:22:21 normalization > (`_airbyte_contact_lists_hashid`, `size`, `error`, `processing`, `lastSizeChangeAt`, `lastProcessingStateChangeAt`, `_airbyte_ab_id`, `_airbyte_emitted_at`, `_airbyte_normalized_at`, `_airbyte_metaData_hashid`) 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 05:04:05.137644 [debug] [Thread-1 ]: 2022-04-13 05:22:21 normalization > In `mansagroup-datascience`.`hubspot_`.`contact_lists_filters`: 2022-04-13 05:22:21 normalization > Schema changed: False 2022-04-13 05:22:21 normalization > Source columns not in target: [] 2022-04-13 05:22:21 normalization > Target columns not in source: [] 2022-04-13 05:22:21 normalization > New column types: [] 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 05:04:05.138714 [debug] [Thread-1 ]: Writing runtime SQL for node "model.airbyte_utils.contact_lists_filters" 2022-04-13 05:22:21 normalization > 05:04:05.139080 [debug] [Thread-1 ]: On model.airbyte_utils.contact_lists_filters: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.contact_lists_filters"} */ 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > merge into `mansagroup-datascience`.hubspot_.`contact_lists_filters` as DBT_INTERNAL_DEST 2022-04-13 05:22:21 normalization > using ( 2022-04-13 05:22:21 normalization > select * from `mansagroup-datascience`.hubspot_.`contact_lists_filters__dbt_tmp` 2022-04-13 05:22:21 normalization > ) as DBT_INTERNAL_SOURCE 2022-04-13 05:22:21 normalization > on FALSE 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > when not matched then insert 2022-04-13 05:22:21 normalization > (`_airbyte_contact_lists_hashid`, `type`, `value`, `operator`, `property`, `filterFamily`, `withinTimeMode`, `checkPastVersions`, `_airbyte_ab_id`, `_airbyte_emitted_at`, `_airbyte_normalized_at`, `_airbyte_filters_hashid`) 2022-04-13 05:22:21 normalization > values 2022-04-13 05:22:21 normalization > (`_airbyte_contact_lists_hashid`, `type`, `value`, `operator`, `property`, `filterFamily`, `withinTimeMode`, `checkPastVersions`, `_airbyte_ab_id`, `_airbyte_emitted_at`, `_airbyte_normalized_at`, `_airbyte_filters_hashid`) 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 05:04:06.574624 [debug] [Thread-4 ]: Writing injected SQL for node "model.airbyte_utils.deals_properties_ab3" 2022-04-13 05:22:21 normalization > 05:04:06.575164 [debug] [Thread-4 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:04:06.575705 [debug] [Thread-4 ]: Finished running node model.airbyte_utils.deals_properties_ab3 2022-04-13 05:22:21 normalization > 05:04:06.575951 [debug] [Thread-4 ]: Began running node model.airbyte_utils.tickets_properties_ab3 2022-04-13 05:22:21 normalization > 05:04:06.576564 [debug] [Thread-4 ]: Acquiring new bigquery connection "model.airbyte_utils.tickets_properties_ab3" 2022-04-13 05:22:21 normalization > 05:04:06.576915 [debug] [Thread-4 ]: Began compiling node model.airbyte_utils.tickets_properties_ab3 2022-04-13 05:22:21 normalization > 05:04:06.577091 [debug] [Thread-4 ]: Compiling model.airbyte_utils.tickets_properties_ab3 2022-04-13 05:22:21 normalization > 05:04:06.605169 [debug] [Thread-4 ]: On "model.airbyte_utils.tickets_properties_ab3": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:21 normalization > 05:04:06.605441 [debug] [Thread-4 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:04:07.100025 [debug] [Thread-4 ]: Writing injected SQL for node "model.airbyte_utils.tickets_properties_ab3" 2022-04-13 05:22:21 normalization > 05:04:07.102719 [debug] [Thread-2 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:04:07.103576 [info ] [Thread-2 ]: 39 of 77 OK created incremental model hubspot_.contact_lists_metaData................................................... [MERGE (83.0 rows, 12.5 KB processed) in 4.26s] 2022-04-13 05:22:21 normalization > 05:04:07.104021 [debug] [Thread-4 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:04:07.104552 [debug] [Thread-4 ]: Finished running node model.airbyte_utils.tickets_properties_ab3 2022-04-13 05:22:21 normalization > 05:04:07.105325 [debug] [Thread-2 ]: Finished running node model.airbyte_utils.contact_lists_metaData 2022-04-13 05:22:21 normalization > 05:04:07.105797 [debug] [Thread-4 ]: Began running node model.airbyte_utils.companies_properties 2022-04-13 05:22:21 normalization > 05:04:07.106404 [debug] [Thread-2 ]: Began running node model.airbyte_utils.engagements_calls_properties 2022-04-13 05:22:21 normalization > 05:04:07.109337 [debug] [Thread-5 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:04:07.109647 [info ] [Thread-4 ]: 40 of 77 START incremental model hubspot_.companies_properties.......................................................... [RUN] 2022-04-13 05:22:21 normalization > 05:04:07.109973 [info ] [Thread-2 ]: 41 of 77 START incremental model hubspot_.engagements_calls_properties.................................................. [RUN] 2022-04-13 05:22:21 normalization > 05:04:07.111030 [info ] [Thread-5 ]: 23 of 77 OK created incremental model hubspot_.engagements_tasks........................................................ [MERGE (66.5k rows, 140.7 MB processed) in 27.02s] 2022-04-13 05:22:21 normalization > 05:04:07.113851 [debug] [Thread-4 ]: Acquiring new bigquery connection "model.airbyte_utils.companies_properties" 2022-04-13 05:22:21 normalization > 05:04:07.114521 [debug] [Thread-2 ]: Acquiring new bigquery connection "model.airbyte_utils.engagements_calls_properties" 2022-04-13 05:22:21 normalization > 05:04:07.115095 [debug] [Thread-5 ]: Finished running node model.airbyte_utils.engagements_tasks 2022-04-13 05:22:21 normalization > 05:04:07.115309 [debug] [Thread-4 ]: Began compiling node model.airbyte_utils.companies_properties 2022-04-13 05:22:21 normalization > 05:04:07.115526 [debug] [Thread-2 ]: Began compiling node model.airbyte_utils.engagements_calls_properties 2022-04-13 05:22:21 normalization > 05:04:07.115802 [debug] [Thread-5 ]: Began running node model.airbyte_utils.subscription_changes_changes 2022-04-13 05:22:21 normalization > 05:04:07.116303 [debug] [Thread-4 ]: Compiling model.airbyte_utils.companies_properties 2022-04-13 05:22:21 normalization > 05:04:07.116521 [debug] [Thread-2 ]: Compiling model.airbyte_utils.engagements_calls_properties 2022-04-13 05:22:21 normalization > 05:04:07.116825 [info ] [Thread-5 ]: 42 of 77 START incremental model hubspot_.subscription_changes_changes.................................................. [RUN] 2022-04-13 05:22:21 normalization > 05:04:07.125158 [debug] [Thread-4 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:04:07.132487 [debug] [Thread-2 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:04:07.133081 [debug] [Thread-5 ]: Acquiring new bigquery connection "model.airbyte_utils.subscription_changes_changes" 2022-04-13 05:22:21 normalization > 05:04:07.133762 [debug] [Thread-5 ]: Began compiling node model.airbyte_utils.subscription_changes_changes 2022-04-13 05:22:21 normalization > 05:04:07.134038 [debug] [Thread-5 ]: Compiling model.airbyte_utils.subscription_changes_changes 2022-04-13 05:22:21 normalization > 05:04:07.147040 [debug] [Thread-5 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:04:07.151246 [debug] [Thread-1 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:04:07.152253 [info ] [Thread-1 ]: 38 of 77 OK created incremental model hubspot_.contact_lists_filters.................................................... [MERGE (67.0 rows, 8.0 KB processed) in 4.61s] 2022-04-13 05:22:21 normalization > 05:04:07.152904 [debug] [Thread-1 ]: Finished running node model.airbyte_utils.contact_lists_filters 2022-04-13 05:22:21 normalization > 05:04:07.153819 [debug] [Thread-1 ]: Began running node model.airbyte_utils.quotes_properties 2022-04-13 05:22:21 normalization > 05:04:07.154183 [info ] [Thread-1 ]: 43 of 77 START incremental model hubspot_.quotes_properties............................................................. [RUN] 2022-04-13 05:22:21 normalization > 05:04:07.155225 [debug] [Thread-1 ]: Acquiring new bigquery connection "model.airbyte_utils.quotes_properties" 2022-04-13 05:22:21 normalization > 05:04:07.157219 [debug] [Thread-1 ]: Began compiling node model.airbyte_utils.quotes_properties 2022-04-13 05:22:21 normalization > 05:04:07.157426 [debug] [Thread-1 ]: Compiling model.airbyte_utils.quotes_properties 2022-04-13 05:22:21 normalization > 05:04:07.166842 [debug] [Thread-1 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:04:07.319698 [debug] [Thread-2 ]: Writing injected SQL for node "model.airbyte_utils.engagements_calls_properties" 2022-04-13 05:22:21 normalization > 05:04:07.321577 [debug] [Thread-4 ]: Writing injected SQL for node "model.airbyte_utils.companies_properties" 2022-04-13 05:22:21 normalization > 05:04:07.332423 [debug] [Thread-2 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:04:07.337921 [debug] [Thread-4 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:04:07.348339 [debug] [Thread-2 ]: Began executing node model.airbyte_utils.engagements_calls_properties 2022-04-13 05:22:21 normalization > 05:04:07.349987 [debug] [Thread-5 ]: Writing injected SQL for node "model.airbyte_utils.subscription_changes_changes" 2022-04-13 05:22:21 normalization > 05:04:07.355158 [debug] [Thread-1 ]: Writing injected SQL for node "model.airbyte_utils.quotes_properties" 2022-04-13 05:22:21 normalization > 05:04:07.355442 [debug] [Thread-4 ]: Began executing node model.airbyte_utils.companies_properties 2022-04-13 05:22:21 normalization > 05:04:07.360798 [debug] [Thread-5 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:04:07.365537 [debug] [Thread-1 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:04:07.365741 [debug] [Thread-5 ]: Began executing node model.airbyte_utils.subscription_changes_changes 2022-04-13 05:22:21 normalization > 05:04:07.365973 [debug] [Thread-1 ]: Began executing node model.airbyte_utils.quotes_properties 2022-04-13 05:22:21 normalization > 05:04:07.397483 [debug] [Thread-4 ]: On model.airbyte_utils.companies_properties: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.companies_properties"} */ 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > create or replace table `mansagroup-datascience`.hubspot_.`companies_properties__dbt_tmp` 2022-04-13 05:22:21 normalization > partition by timestamp_trunc(_airbyte_emitted_at, day) 2022-04-13 05:22:21 normalization > cluster by _airbyte_emitted_at 2022-04-13 05:22:21 normalization > OPTIONS( 2022-04-13 05:22:21 normalization > expiration_timestamp=TIMESTAMP_ADD(CURRENT_TIMESTAMP(), INTERVAL 12 hour) 2022-04-13 05:22:21 normalization > ) 2022-04-13 05:22:21 normalization > as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > with __dbt__cte__companies_properties_ab1 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema 2022-04-13 05:22:21 normalization > -- depends_on: `mansagroup-datascience`.hubspot_.`companies` 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > _airbyte_companies_hashid, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['zip']") as zip, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['city']") as city, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['name']") as name, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['type']") as type, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['phone']") as phone, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['state']") as state, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['domain']") as domain, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['address']") as address, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['country']") as country, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['is_test']") as is_test, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['statuts']") as statuts, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['website']") as website, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['about_us']") as about_us, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['address2']") as address2, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['industry']") as industry, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['timezone']") as timezone, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['closedate']") as closedate, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['is_funded']") as is_funded, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['is_public']") as is_public, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['num_notes']") as num_notes, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['createdate']") as createdate, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['twitterbio']") as twitterbio, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['amount_fees']") as amount_fees, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['companyname']") as companyname, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['description']") as description, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['fee_trigger']") as fee_trigger, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_pipeline']") as hs_pipeline, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['linkedinbio']") as linkedinbio, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['sector_code']") as sector_code, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['data_missing']") as data_missing, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['facebookfans']") as facebookfans, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['founded_year']") as founded_year, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_object_id']") as hs_object_id, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hubspotscore']") as hubspotscore, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['partner_type']") as partner_type, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['annualrevenue']") as annualrevenue, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['days_to_close']") as days_to_close, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_createdate']") as hs_createdate, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['total_revenue']") as total_revenue, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['twitterhandle']") as twitterhandle, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_lead_status']") as hs_lead_status, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['lifecyclestage']") as lifecyclestage, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['googleplus_page']") as googleplus_page, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_all_team_ids']") as hs_all_team_ids, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_num_blockers']") as hs_num_blockers, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_time_in_lead']") as hs_time_in_lead, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hubspot_team_id']") as hubspot_team_id, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['legal_structure']") as legal_structure, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['percentage_fees']") as percentage_fees, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_all_owner_ids']") as hs_all_owner_ids, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_time_in_other']") as hs_time_in_other, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hubspot_owner_id']") as hubspot_owner_id, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['twitterfollowers']") as twitterfollowers, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['web_technologies']") as web_technologies, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_num_open_deals']") as hs_num_open_deals, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_target_account']") as hs_target_account, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['mansa_environment']") as mansa_environment, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['numberofemployees']") as numberofemployees, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['url_lead_creation']") as url_lead_creation, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['automation_trigger']") as automation_trigger, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['date_incorporation']") as date_incorporation, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['notes_last_updated']") as notes_last_updated, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['recent_deal_amount']") as recent_deal_amount, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['sector_description']") as sector_description, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['total_money_raised']") as total_money_raised, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['uuid_mansa_company']") as uuid_mansa_company, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['volume_loan_annual']") as volume_loan_annual, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_analytics_source']") as hs_analytics_source, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_date_exited_lead']") as hs_date_exited_lead, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_lastmodifieddate']") as hs_lastmodifieddate, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_time_in_customer']") as hs_time_in_customer, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_total_deal_value']") as hs_total_deal_value, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['num_contacted_notes']") as num_contacted_notes, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_date_entered_lead']") as hs_date_entered_lead, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_date_exited_other']") as hs_date_exited_other, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_is_target_account']") as hs_is_target_account, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_merged_object_ids']") as hs_merged_object_ids, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_parent_company_id']") as hs_parent_company_id, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['notes_last_contacted']") as notes_last_contacted, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['num_associated_deals']") as num_associated_deals, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['facebook_company_page']") as facebook_company_page, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['first_conversion_date']") as first_conversion_date, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_additional_domains']") as hs_additional_domains, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_created_by_user_id']") as hs_created_by_user_id, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_date_entered_other']") as hs_date_entered_other, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_time_in_evangelist']") as hs_time_in_evangelist, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_time_in_subscriber']") as hs_time_in_subscriber, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_updated_by_user_id']") as hs_updated_by_user_id, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['id_legal_registration']") as id_legal_registration, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['linkedin_company_page']") as linkedin_company_page, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['nombre_d_independants']") as nombre_d_independants, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['num_conversion_events']") as num_conversion_events, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_last_open_task_date']") as hs_last_open_task_date, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_num_child_companies']") as hs_num_child_companies, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_num_decision_makers']") as hs_num_decision_makers, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_time_in_opportunity']") as hs_time_in_opportunity, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_unique_creation_key']") as hs_unique_creation_key, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['recent_conversion_date']") as recent_conversion_date, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['recent_deal_close_date']") as recent_deal_close_date, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['first_deal_created_date']") as first_deal_created_date, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_analytics_num_visits']") as hs_analytics_num_visits, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_date_exited_customer']") as hs_date_exited_customer, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['num_associated_contacts']") as num_associated_contacts, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['first_contact_createdate']") as first_contact_createdate, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_date_entered_customer']") as hs_date_entered_customer, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_last_logged_call_date']") as hs_last_logged_call_date, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['legal_structure_specific']") as legal_structure_specific, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['notes_next_activity_date']") as notes_next_activity_date, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['submission_idempotent_id']") as submission_idempotent_id, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['count_addressable_clients']") as count_addressable_clients, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_avatar_filemanager_key']") as hs_avatar_filemanager_key, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_date_exited_evangelist']") as hs_date_exited_evangelist, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_date_exited_subscriber']") as hs_date_exited_subscriber, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_ideal_customer_profile']") as hs_ideal_customer_profile, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_user_ids_of_all_owners']") as hs_user_ids_of_all_owners, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_all_accessible_team_ids']") as hs_all_accessible_team_ids, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_analytics_source_data_1']") as hs_analytics_source_data_1, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_analytics_source_data_2']") as hs_analytics_source_data_2, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_date_entered_evangelist']") as hs_date_entered_evangelist, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_date_entered_subscriber']") as hs_date_entered_subscriber, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_date_exited_opportunity']") as hs_date_exited_opportunity, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_latest_meeting_activity']") as hs_latest_meeting_activity, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hubspot_owner_assigneddate']") as hubspot_owner_assigneddate, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['first_conversion_event_name']") as first_conversion_event_name, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_analytics_last_timestamp']") as hs_analytics_last_timestamp, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_analytics_num_page_views']") as hs_analytics_num_page_views, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_date_entered_opportunity']") as hs_date_entered_opportunity, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_last_booked_meeting_date']") as hs_last_booked_meeting_date, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_last_sales_activity_date']") as hs_last_sales_activity_date, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_sales_email_last_replied']") as hs_sales_email_last_replied, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_analytics_first_timestamp']") as hs_analytics_first_timestamp, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['recent_conversion_event_name']") as recent_conversion_event_name, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['average_client_revenue_annual']") as average_client_revenue_annual, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_target_account_probability']") as hs_target_account_probability, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_time_in_salesqualifiedlead']") as hs_time_in_salesqualifiedlead, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['engagements_last_meeting_booked']") as engagements_last_meeting_booked, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_last_sales_activity_timestamp']") as hs_last_sales_activity_timestamp, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_all_assigned_business_unit_ids']") as hs_all_assigned_business_unit_ids, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_analytics_last_visit_timestamp']") as hs_analytics_last_visit_timestamp, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_date_exited_salesqualifiedlead']") as hs_date_exited_salesqualifiedlead, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_num_contacts_with_buying_roles']") as hs_num_contacts_with_buying_roles, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_time_in_marketingqualifiedlead']") as hs_time_in_marketingqualifiedlead, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_analytics_first_visit_timestamp']") as hs_analytics_first_visit_timestamp, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_date_entered_salesqualifiedlead']") as hs_date_entered_salesqualifiedlead, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_date_exited_marketingqualifiedlead']") as hs_date_exited_marketingqualifiedlead, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['engagements_last_meeting_booked_medium']") as engagements_last_meeting_booked_medium, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['engagements_last_meeting_booked_source']") as engagements_last_meeting_booked_source, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_date_entered_marketingqualifiedlead']") as hs_date_entered_marketingqualifiedlead, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_target_account_recommendation_state']") as hs_target_account_recommendation_state, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['engagements_last_meeting_booked_campaign']") as engagements_last_meeting_booked_campaign, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_user_ids_of_all_notification_followers']") as hs_user_ids_of_all_notification_followers, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['closedate_timestamp_earliest_value_a2a17e6e']") as closedate_timestamp_earliest_value_a2a17e6e, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_analytics_last_touch_converting_campaign']") as hs_analytics_last_touch_converting_campaign, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_user_ids_of_all_notification_unfollowers']") as hs_user_ids_of_all_notification_unfollowers, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_analytics_first_touch_converting_campaign']") as hs_analytics_first_touch_converting_campaign, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_latest_createdate_of_active_subscriptions']") as hs_latest_createdate_of_active_subscriptions, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_target_account_recommendation_snooze_time']") as hs_target_account_recommendation_snooze_time, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['num_conversion_events_cardinality_sum_d095f14b']") as num_conversion_events_cardinality_sum_d095f14b, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_analytics_num_visits_cardinality_sum_53d952a6']") as hs_analytics_num_visits_cardinality_sum_53d952a6, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_predictivecontactscore_v2_next_max_max_d4e58c1e']") as hs_predictivecontactscore_v2_next_max_max_d4e58c1e, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_analytics_num_page_views_cardinality_sum_e46e85b0']") as hs_analytics_num_page_views_cardinality_sum_e46e85b0, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_analytics_source_timestamp_earliest_value_25a3a52c']") as hs_analytics_source_timestamp_earliest_value_25a3a52c, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['recent_conversion_date_timestamp_latest_value_72856da1']") as recent_conversion_date_timestamp_latest_value_72856da1, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['first_conversion_date_timestamp_earliest_value_61f58f2c']") as first_conversion_date_timestamp_earliest_value_61f58f2c, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['first_contact_createdate_timestamp_earliest_value_78b50eea']") as first_contact_createdate_timestamp_earliest_value_78b50eea, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_analytics_last_timestamp_timestamp_latest_value_4e16365a']") as hs_analytics_last_timestamp_timestamp_latest_value_4e16365a, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_analytics_source_data_1_timestamp_earliest_value_9b2f1fa1']") as hs_analytics_source_data_1_timestamp_earliest_value_9b2f1fa1, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_analytics_source_data_2_timestamp_earliest_value_9b2f9400']") as hs_analytics_source_data_2_timestamp_earliest_value_9b2f9400, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['recent_conversion_event_name_timestamp_latest_value_66c820bf']") as recent_conversion_event_name_timestamp_latest_value_66c820bf, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['first_conversion_event_name_timestamp_earliest_value_68ddae0a']") as first_conversion_event_name_timestamp_earliest_value_68ddae0a, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_analytics_first_timestamp_timestamp_earliest_value_11e3a63a']") as hs_analytics_first_timestamp_timestamp_earliest_value_11e3a63a, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_analytics_last_visit_timestamp_timestamp_latest_value_999a0fce']") as hs_analytics_last_visit_timestamp_timestamp_latest_value_999a0fce, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_analytics_first_visit_timestamp_timestamp_earliest_value_accc17ae']") as hs_analytics_first_visit_timestamp_timestamp_earliest_value_accc17ae, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_analytics_last_touch_converting_campaign_timestamp_latest_value_81a64e30']") as hs_analytics_last_touch_converting_campaign_timestamp_latest_value_81a64e30, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_analytics_first_touch_converting_campaign_timestamp_earliest_value_4757fe10']") as hs_analytics_first_touch_converting_campaign_timestamp_earliest_value_4757fe10, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:21 normalization > from `mansagroup-datascience`.hubspot_.`companies` as table_alias 2022-04-13 05:22:21 normalization > -- properties at companies/properties 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > and properties is not null 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > ), __dbt__cte__companies_properties_ab2 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__companies_properties_ab1 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > _airbyte_companies_hashid, 2022-04-13 05:22:21 normalization > cast(zip as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as zip, 2022-04-13 05:22:21 normalization > cast(city as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as city, 2022-04-13 05:22:21 normalization > cast(name as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as name, 2022-04-13 05:22:21 normalization > cast(type as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as type, 2022-04-13 05:22:21 normalization > cast(phone as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as phone, 2022-04-13 05:22:21 normalization > cast(state as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as state, 2022-04-13 05:22:21 normalization > cast(domain as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as domain, 2022-04-13 05:22:21 normalization > cast(address as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as address, 2022-04-13 05:22:21 normalization > cast(country as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as country, 2022-04-13 05:22:21 normalization > cast(is_test as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as is_test, 2022-04-13 05:22:21 normalization > cast(statuts as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as statuts, 2022-04-13 05:22:21 normalization > cast(website as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as website, 2022-04-13 05:22:21 normalization > cast(about_us as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as about_us, 2022-04-13 05:22:21 normalization > cast(address2 as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as address2, 2022-04-13 05:22:21 normalization > cast(industry as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as industry, 2022-04-13 05:22:21 normalization > cast(timezone as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as timezone, 2022-04-13 05:22:21 normalization > cast(nullif(closedate, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as closedate, 2022-04-13 05:22:21 normalization > cast(is_funded as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as is_funded, 2022-04-13 05:22:21 normalization > cast(is_public as boolean) as is_public, 2022-04-13 05:22:21 normalization > cast(num_notes as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as num_notes, 2022-04-13 05:22:21 normalization > cast(nullif(createdate, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as createdate, 2022-04-13 05:22:21 normalization > cast(twitterbio as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as twitterbio, 2022-04-13 05:22:21 normalization > cast(amount_fees as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as amount_fees, 2022-04-13 05:22:21 normalization > cast(companyname as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as companyname, 2022-04-13 05:22:21 normalization > cast(description as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as description, 2022-04-13 05:22:21 normalization > cast(fee_trigger as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as fee_trigger, 2022-04-13 05:22:21 normalization > cast(hs_pipeline as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_pipeline, 2022-04-13 05:22:21 normalization > cast(linkedinbio as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as linkedinbio, 2022-04-13 05:22:21 normalization > cast(sector_code as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as sector_code, 2022-04-13 05:22:21 normalization > cast(data_missing as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as data_missing, 2022-04-13 05:22:21 normalization > cast(facebookfans as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as facebookfans, 2022-04-13 05:22:21 normalization > cast(founded_year as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as founded_year, 2022-04-13 05:22:21 normalization > cast(hs_object_id as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_object_id, 2022-04-13 05:22:21 normalization > cast(hubspotscore as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hubspotscore, 2022-04-13 05:22:21 normalization > cast(partner_type as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as partner_type, 2022-04-13 05:22:21 normalization > cast(annualrevenue as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as annualrevenue, 2022-04-13 05:22:21 normalization > cast(days_to_close as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as days_to_close, 2022-04-13 05:22:21 normalization > cast(nullif(hs_createdate, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_createdate, 2022-04-13 05:22:21 normalization > cast(total_revenue as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as total_revenue, 2022-04-13 05:22:21 normalization > cast(twitterhandle as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as twitterhandle, 2022-04-13 05:22:21 normalization > cast(hs_lead_status as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_lead_status, 2022-04-13 05:22:21 normalization > cast(lifecyclestage as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as lifecyclestage, 2022-04-13 05:22:21 normalization > cast(googleplus_page as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as googleplus_page, 2022-04-13 05:22:21 normalization > cast(hs_all_team_ids as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_all_team_ids, 2022-04-13 05:22:21 normalization > cast(hs_num_blockers as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_num_blockers, 2022-04-13 05:22:21 normalization > cast(hs_time_in_lead as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_time_in_lead, 2022-04-13 05:22:21 normalization > cast(hubspot_team_id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hubspot_team_id, 2022-04-13 05:22:21 normalization > cast(legal_structure as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as legal_structure, 2022-04-13 05:22:21 normalization > cast(percentage_fees as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as percentage_fees, 2022-04-13 05:22:21 normalization > cast(hs_all_owner_ids as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_all_owner_ids, 2022-04-13 05:22:21 normalization > cast(hs_time_in_other as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_time_in_other, 2022-04-13 05:22:21 normalization > cast(hubspot_owner_id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hubspot_owner_id, 2022-04-13 05:22:21 normalization > cast(twitterfollowers as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as twitterfollowers, 2022-04-13 05:22:21 normalization > cast(web_technologies as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as web_technologies, 2022-04-13 05:22:21 normalization > cast(hs_num_open_deals as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_num_open_deals, 2022-04-13 05:22:21 normalization > cast(hs_target_account as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_target_account, 2022-04-13 05:22:21 normalization > cast(mansa_environment as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as mansa_environment, 2022-04-13 05:22:21 normalization > cast(numberofemployees as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as numberofemployees, 2022-04-13 05:22:21 normalization > cast(url_lead_creation as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as url_lead_creation, 2022-04-13 05:22:21 normalization > cast(automation_trigger as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as automation_trigger, 2022-04-13 05:22:21 normalization > cast(nullif(date_incorporation, '') as 2022-04-13 05:22:21 normalization > date 2022-04-13 05:22:21 normalization > ) as date_incorporation, 2022-04-13 05:22:21 normalization > cast(nullif(notes_last_updated, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as notes_last_updated, 2022-04-13 05:22:21 normalization > cast(recent_deal_amount as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as recent_deal_amount, 2022-04-13 05:22:21 normalization > cast(sector_description as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as sector_description, 2022-04-13 05:22:21 normalization > cast(total_money_raised as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as total_money_raised, 2022-04-13 05:22:21 normalization > cast(uuid_mansa_company as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as uuid_mansa_company, 2022-04-13 05:22:21 normalization > cast(volume_loan_annual as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as volume_loan_annual, 2022-04-13 05:22:21 normalization > cast(hs_analytics_source as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_analytics_source, 2022-04-13 05:22:21 normalization > cast(nullif(hs_date_exited_lead, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_date_exited_lead, 2022-04-13 05:22:21 normalization > cast(nullif(hs_lastmodifieddate, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_lastmodifieddate, 2022-04-13 05:22:21 normalization > cast(hs_time_in_customer as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_time_in_customer, 2022-04-13 05:22:21 normalization > cast(hs_total_deal_value as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_total_deal_value, 2022-04-13 05:22:21 normalization > cast(num_contacted_notes as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as num_contacted_notes, 2022-04-13 05:22:21 normalization > cast(nullif(hs_date_entered_lead, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_date_entered_lead, 2022-04-13 05:22:21 normalization > cast(nullif(hs_date_exited_other, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_date_exited_other, 2022-04-13 05:22:21 normalization > cast(hs_is_target_account as boolean) as hs_is_target_account, 2022-04-13 05:22:21 normalization > cast(hs_merged_object_ids as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_merged_object_ids, 2022-04-13 05:22:21 normalization > cast(hs_parent_company_id as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_parent_company_id, 2022-04-13 05:22:21 normalization > cast(nullif(notes_last_contacted, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as notes_last_contacted, 2022-04-13 05:22:21 normalization > cast(num_associated_deals as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as num_associated_deals, 2022-04-13 05:22:21 normalization > cast(facebook_company_page as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as facebook_company_page, 2022-04-13 05:22:21 normalization > cast(nullif(first_conversion_date, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as first_conversion_date, 2022-04-13 05:22:21 normalization > cast(hs_additional_domains as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_additional_domains, 2022-04-13 05:22:21 normalization > cast(hs_created_by_user_id as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_created_by_user_id, 2022-04-13 05:22:21 normalization > cast(nullif(hs_date_entered_other, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_date_entered_other, 2022-04-13 05:22:21 normalization > cast(hs_time_in_evangelist as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_time_in_evangelist, 2022-04-13 05:22:21 normalization > cast(hs_time_in_subscriber as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_time_in_subscriber, 2022-04-13 05:22:21 normalization > cast(hs_updated_by_user_id as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_updated_by_user_id, 2022-04-13 05:22:21 normalization > cast(id_legal_registration as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as id_legal_registration, 2022-04-13 05:22:21 normalization > cast(linkedin_company_page as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as linkedin_company_page, 2022-04-13 05:22:21 normalization > cast(nombre_d_independants as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as nombre_d_independants, 2022-04-13 05:22:21 normalization > cast(num_conversion_events as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as num_conversion_events, 2022-04-13 05:22:21 normalization > cast(nullif(hs_last_open_task_date, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_last_open_task_date, 2022-04-13 05:22:21 normalization > cast(hs_num_child_companies as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_num_child_companies, 2022-04-13 05:22:21 normalization > cast(hs_num_decision_makers as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_num_decision_makers, 2022-04-13 05:22:21 normalization > cast(hs_time_in_opportunity as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_time_in_opportunity, 2022-04-13 05:22:21 normalization > cast(hs_unique_creation_key as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_unique_creation_key, 2022-04-13 05:22:21 normalization > cast(nullif(recent_conversion_date, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as recent_conversion_date, 2022-04-13 05:22:21 normalization > cast(nullif(recent_deal_close_date, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as recent_deal_close_date, 2022-04-13 05:22:21 normalization > cast(nullif(first_deal_created_date, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as first_deal_created_date, 2022-04-13 05:22:21 normalization > cast(hs_analytics_num_visits as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_analytics_num_visits, 2022-04-13 05:22:21 normalization > cast(nullif(hs_date_exited_customer, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_date_exited_customer, 2022-04-13 05:22:21 normalization > cast(num_associated_contacts as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as num_associated_contacts, 2022-04-13 05:22:21 normalization > cast(nullif(first_contact_createdate, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as first_contact_createdate, 2022-04-13 05:22:21 normalization > cast(nullif(hs_date_entered_customer, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_date_entered_customer, 2022-04-13 05:22:21 normalization > cast(nullif(hs_last_logged_call_date, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_last_logged_call_date, 2022-04-13 05:22:21 normalization > cast(legal_structure_specific as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as legal_structure_specific, 2022-04-13 05:22:21 normalization > cast(nullif(notes_next_activity_date, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as notes_next_activity_date, 2022-04-13 05:22:21 normalization > cast(submission_idempotent_id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as submission_idempotent_id, 2022-04-13 05:22:21 normalization > cast(count_addressable_clients as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as count_addressable_clients, 2022-04-13 05:22:21 normalization > cast(hs_avatar_filemanager_key as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_avatar_filemanager_key, 2022-04-13 05:22:21 normalization > cast(nullif(hs_date_exited_evangelist, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_date_exited_evangelist, 2022-04-13 05:22:21 normalization > cast(nullif(hs_date_exited_subscriber, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_date_exited_subscriber, 2022-04-13 05:22:21 normalization > cast(hs_ideal_customer_profile as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_ideal_customer_profile, 2022-04-13 05:22:21 normalization > cast(hs_user_ids_of_all_owners as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_user_ids_of_all_owners, 2022-04-13 05:22:21 normalization > cast(hs_all_accessible_team_ids as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_all_accessible_team_ids, 2022-04-13 05:22:21 normalization > cast(hs_analytics_source_data_1 as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_analytics_source_data_1, 2022-04-13 05:22:21 normalization > cast(hs_analytics_source_data_2 as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_analytics_source_data_2, 2022-04-13 05:22:21 normalization > cast(nullif(hs_date_entered_evangelist, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_date_entered_evangelist, 2022-04-13 05:22:21 normalization > cast(nullif(hs_date_entered_subscriber, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_date_entered_subscriber, 2022-04-13 05:22:21 normalization > cast(nullif(hs_date_exited_opportunity, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_date_exited_opportunity, 2022-04-13 05:22:21 normalization > cast(nullif(hs_latest_meeting_activity, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_latest_meeting_activity, 2022-04-13 05:22:21 normalization > cast(nullif(hubspot_owner_assigneddate, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hubspot_owner_assigneddate, 2022-04-13 05:22:21 normalization > cast(first_conversion_event_name as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as first_conversion_event_name, 2022-04-13 05:22:21 normalization > cast(nullif(hs_analytics_last_timestamp, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_analytics_last_timestamp, 2022-04-13 05:22:21 normalization > cast(hs_analytics_num_page_views as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_analytics_num_page_views, 2022-04-13 05:22:21 normalization > cast(nullif(hs_date_entered_opportunity, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_date_entered_opportunity, 2022-04-13 05:22:21 normalization > cast(nullif(hs_last_booked_meeting_date, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_last_booked_meeting_date, 2022-04-13 05:22:21 normalization > cast(nullif(hs_last_sales_activity_date, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_last_sales_activity_date, 2022-04-13 05:22:21 normalization > cast(nullif(hs_sales_email_last_replied, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_sales_email_last_replied, 2022-04-13 05:22:21 normalization > cast(nullif(hs_analytics_first_timestamp, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_analytics_first_timestamp, 2022-04-13 05:22:21 normalization > cast(recent_conversion_event_name as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as recent_conversion_event_name, 2022-04-13 05:22:21 normalization > cast(average_client_revenue_annual as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as average_client_revenue_annual, 2022-04-13 05:22:21 normalization > cast(hs_target_account_probability as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_target_account_probability, 2022-04-13 05:22:21 normalization > cast(hs_time_in_salesqualifiedlead as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_time_in_salesqualifiedlead, 2022-04-13 05:22:21 normalization > cast(nullif(engagements_last_meeting_booked, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as engagements_last_meeting_booked, 2022-04-13 05:22:21 normalization > cast(nullif(hs_last_sales_activity_timestamp, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_last_sales_activity_timestamp, 2022-04-13 05:22:21 normalization > cast(hs_all_assigned_business_unit_ids as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_all_assigned_business_unit_ids, 2022-04-13 05:22:21 normalization > cast(nullif(hs_analytics_last_visit_timestamp, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_analytics_last_visit_timestamp, 2022-04-13 05:22:21 normalization > cast(nullif(hs_date_exited_salesqualifiedlead, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_date_exited_salesqualifiedlead, 2022-04-13 05:22:21 normalization > cast(hs_num_contacts_with_buying_roles as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_num_contacts_with_buying_roles, 2022-04-13 05:22:21 normalization > cast(hs_time_in_marketingqualifiedlead as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_time_in_marketingqualifiedlead, 2022-04-13 05:22:21 normalization > cast(nullif(hs_analytics_first_visit_timestamp, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_analytics_first_visit_timestamp, 2022-04-13 05:22:21 normalization > cast(nullif(hs_date_entered_salesqualifiedlead, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_date_entered_salesqualifiedlead, 2022-04-13 05:22:21 normalization > cast(nullif(hs_date_exited_marketingqualifiedlead, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_date_exited_marketingqualifiedlead, 2022-04-13 05:22:21 normalization > cast(engagements_last_meeting_booked_medium as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as engagements_last_meeting_booked_medium, 2022-04-13 05:22:21 normalization > cast(engagements_last_meeting_booked_source as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as engagements_last_meeting_booked_source, 2022-04-13 05:22:21 normalization > cast(nullif(hs_date_entered_marketingqualifiedlead, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_date_entered_marketingqualifiedlead, 2022-04-13 05:22:21 normalization > cast(hs_target_account_recommendation_state as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_target_account_recommendation_state, 2022-04-13 05:22:21 normalization > cast(engagements_last_meeting_booked_campaign as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as engagements_last_meeting_booked_campaign, 2022-04-13 05:22:21 normalization > cast(hs_user_ids_of_all_notification_followers as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_user_ids_of_all_notification_followers, 2022-04-13 05:22:21 normalization > cast(nullif(closedate_timestamp_earliest_value_a2a17e6e, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as closedate_timestamp_earliest_value_a2a17e6e, 2022-04-13 05:22:21 normalization > cast(hs_analytics_last_touch_converting_campaign as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_analytics_last_touch_converting_campaign, 2022-04-13 05:22:21 normalization > cast(hs_user_ids_of_all_notification_unfollowers as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_user_ids_of_all_notification_unfollowers, 2022-04-13 05:22:21 normalization > cast(hs_analytics_first_touch_converting_campaign as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_analytics_first_touch_converting_campaign, 2022-04-13 05:22:21 normalization > cast(nullif(hs_latest_createdate_of_active_subscriptions, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_latest_createdate_of_active_subscriptions, 2022-04-13 05:22:21 normalization > cast(nullif(hs_target_account_recommendation_snooze_time, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_target_account_recommendation_snooze_time, 2022-04-13 05:22:21 normalization > cast(num_conversion_events_cardinality_sum_d095f14b as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as num_conversion_events_cardinality_sum_d095f14b, 2022-04-13 05:22:21 normalization > cast(hs_analytics_num_visits_cardinality_sum_53d952a6 as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_analytics_num_visits_cardinality_sum_53d952a6, 2022-04-13 05:22:21 normalization > cast(hs_predictivecontactscore_v2_next_max_max_d4e58c1e as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_predictivecontactscore_v2_next_max_max_d4e58c1e, 2022-04-13 05:22:21 normalization > cast(hs_analytics_num_page_views_cardinality_sum_e46e85b0 as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_analytics_num_page_views_cardinality_sum_e46e85b0, 2022-04-13 05:22:21 normalization > cast(nullif(hs_analytics_source_timestamp_earliest_value_25a3a52c, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_analytics_source_timestamp_earliest_value_25a3a52c, 2022-04-13 05:22:21 normalization > cast(nullif(recent_conversion_date_timestamp_latest_value_72856da1, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as recent_conversion_date_timestamp_latest_value_72856da1, 2022-04-13 05:22:21 normalization > cast(nullif(first_conversion_date_timestamp_earliest_value_61f58f2c, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as first_conversion_date_timestamp_earliest_value_61f58f2c, 2022-04-13 05:22:21 normalization > cast(nullif(first_contact_createdate_timestamp_earliest_value_78b50eea, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as first_contact_createdate_timestamp_earliest_value_78b50eea, 2022-04-13 05:22:21 normalization > cast(nullif(hs_analytics_last_timestamp_timestamp_latest_value_4e16365a, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_analytics_last_timestamp_timestamp_latest_value_4e16365a, 2022-04-13 05:22:21 normalization > cast(nullif(hs_analytics_source_data_1_timestamp_earliest_value_9b2f1fa1, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_analytics_source_data_1_timestamp_earliest_value_9b2f1fa1, 2022-04-13 05:22:21 normalization > cast(nullif(hs_analytics_source_data_2_timestamp_earliest_value_9b2f9400, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_analytics_source_data_2_timestamp_earliest_value_9b2f9400, 2022-04-13 05:22:21 normalization > cast(nullif(recent_conversion_event_name_timestamp_latest_value_66c820bf, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as recent_conversion_event_name_timestamp_latest_value_66c820bf, 2022-04-13 05:22:21 normalization > cast(nullif(first_conversion_event_name_timestamp_earliest_value_68ddae0a, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as first_conversion_event_name_timestamp_earliest_value_68ddae0a, 2022-04-13 05:22:21 normalization > cast(nullif(hs_analytics_first_timestamp_timestamp_earliest_value_11e3a63a, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_analytics_first_timestamp_timestamp_earliest_value_11e3a63a, 2022-04-13 05:22:21 normalization > cast(nullif(hs_analytics_last_visit_timestamp_timestamp_latest_value_999a0fce, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_analytics_last_visit_timestamp_timestamp_latest_value_999a0fce, 2022-04-13 05:22:21 normalization > cast(nullif(hs_analytics_first_visit_timestamp_timestamp_earliest_value_accc17ae, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_analytics_first_visit_timestamp_timestamp_earliest_value_accc17ae, 2022-04-13 05:22:21 normalization > cast(nullif(hs_analytics_last_touch_converting_campaign_timestamp_latest_value_81a64e30, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_analytics_last_touch_converting_campaign_timestamp_latest_value_81a64e30, 2022-04-13 05:22:21 normalization > cast(nullif(hs_analytics_first_touch_converting_campaign_timestamp_earliest_value_4757fe10, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_analytics_first_touch_converting_campaign_timestamp_earliest_value_4757fe10, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:21 normalization > from __dbt__cte__companies_properties_ab1 2022-04-13 05:22:21 normalization > -- properties at companies/properties 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > ), __dbt__cte__companies_properties_ab3 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to build a hash column based on the values of this record 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__companies_properties_ab2 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > to_hex(md5(cast(concat(coalesce(cast(_airbyte_companies_hashid as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(zip as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(city as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(name as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(type as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(phone as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(state as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(domain as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(address as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(country as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(is_test as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(statuts as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(website as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(about_us as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(address2 as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(industry as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(timezone as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(closedate as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(is_funded as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(is_public as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(num_notes as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(createdate as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(twitterbio as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(amount_fees as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(companyname as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(description as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(fee_trigger as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_pipeline as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(linkedinbio as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(sector_code as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(data_missing as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(facebookfans as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(founded_year as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_object_id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hubspotscore as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(partner_type as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(annualrevenue as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(days_to_close as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_createdate as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(total_revenue as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(twitterhandle as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_lead_status as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(lifecyclestage as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(googleplus_page as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_all_team_ids as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_num_blockers as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_time_in_lead as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hubspot_team_id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(legal_structure as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(percentage_fees as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_all_owner_ids as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_time_in_other as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hubspot_owner_id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(twitterfollowers as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(web_technologies as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_num_open_deals as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_target_account as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(mansa_environment as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(numberofemployees as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(url_lead_creation as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(automation_trigger as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(date_incorporation as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(notes_last_updated as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(recent_deal_amount as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(sector_description as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(total_money_raised as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(uuid_mansa_company as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(volume_loan_annual as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_analytics_source as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_date_exited_lead as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_lastmodifieddate as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_time_in_customer as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_total_deal_value as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(num_contacted_notes as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_date_entered_lead as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_date_exited_other as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_is_target_account as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_merged_object_ids as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_parent_company_id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(notes_last_contacted as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(num_associated_deals as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(facebook_company_page as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(first_conversion_date as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_additional_domains as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_created_by_user_id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_date_entered_other as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_time_in_evangelist as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_time_in_subscriber as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_updated_by_user_id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(id_legal_registration as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(linkedin_company_page as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(nombre_d_independants as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(num_conversion_events as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_last_open_task_date as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_num_child_companies as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_num_decision_makers as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_time_in_opportunity as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_unique_creation_key as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(recent_conversion_date as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(recent_deal_close_date as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(first_deal_created_date as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_analytics_num_visits as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_date_exited_customer as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(num_associated_contacts as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(first_contact_createdate as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_date_entered_customer as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_last_logged_call_date as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(legal_structure_specific as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(notes_next_activity_date as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(submission_idempotent_id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(count_addressable_clients as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_avatar_filemanager_key as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_date_exited_evangelist as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_date_exited_subscriber as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_ideal_customer_profile as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_user_ids_of_all_owners as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_all_accessible_team_ids as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_analytics_source_data_1 as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_analytics_source_data_2 as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_date_entered_evangelist as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_date_entered_subscriber as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_date_exited_opportunity as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_latest_meeting_activity as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hubspot_owner_assigneddate as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(first_conversion_event_name as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_analytics_last_timestamp as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_analytics_num_page_views as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_date_entered_opportunity as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_last_booked_meeting_date as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_last_sales_activity_date as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_sales_email_last_replied as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_analytics_first_timestamp as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(recent_conversion_event_name as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(average_client_revenue_annual as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_target_account_probability as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_time_in_salesqualifiedlead as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(engagements_last_meeting_booked as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_last_sales_activity_timestamp as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_all_assigned_business_unit_ids as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_analytics_last_visit_timestamp as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_date_exited_salesqualifiedlead as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_num_contacts_with_buying_roles as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_time_in_marketingqualifiedlead as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_analytics_first_visit_timestamp as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_date_entered_salesqualifiedlead as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_date_exited_marketingqualifiedlead as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(engagements_last_meeting_booked_medium as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(engagements_last_meeting_booked_source as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_date_entered_marketingqualifiedlead as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_target_account_recommendation_state as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(engagements_last_meeting_booked_campaign as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_user_ids_of_all_notification_followers as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(closedate_timestamp_earliest_value_a2a17e6e as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_analytics_last_touch_converting_campaign as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_user_ids_of_all_notification_unfollowers as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_analytics_first_touch_converting_campaign as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_latest_createdate_of_active_subscriptions as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_target_account_recommendation_snooze_time as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(num_conversion_events_cardinality_sum_d095f14b as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_analytics_num_visits_cardinality_sum_53d952a6 as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_predictivecontactscore_v2_next_max_max_d4e58c1e as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_analytics_num_page_views_cardinality_sum_e46e85b0 as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_analytics_source_timestamp_earliest_value_25a3a52c as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(recent_conversion_date_timestamp_latest_value_72856da1 as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(first_conversion_date_timestamp_earliest_value_61f58f2c as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(first_contact_createdate_timestamp_earliest_value_78b50eea as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_analytics_last_timestamp_timestamp_latest_value_4e16365a as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_analytics_source_data_1_timestamp_earliest_value_9b2f1fa1 as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_analytics_source_data_2_timestamp_earliest_value_9b2f9400 as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(recent_conversion_event_name_timestamp_latest_value_66c820bf as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(first_conversion_event_name_timestamp_earliest_value_68ddae0a as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_analytics_first_timestamp_timestamp_earliest_value_11e3a63a as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_analytics_last_visit_timestamp_timestamp_latest_value_999a0fce as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_analytics_first_visit_timestamp_timestamp_earliest_value_accc17ae as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_analytics_last_touch_converting_campaign_timestamp_latest_value_81a64e30 as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_analytics_first_touch_converting_campaign_timestamp_earliest_value_4757fe10 as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), '')) as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ))) as _airbyte_properties_hashid, 2022-04-13 05:22:21 normalization > tmp.* 2022-04-13 05:22:21 normalization > from __dbt__cte__companies_properties_ab2 tmp 2022-04-13 05:22:21 normalization > -- properties at companies/properties 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > )-- Final base SQL model 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__companies_properties_ab3 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > _airbyte_companies_hashid, 2022-04-13 05:22:21 normalization > zip, 2022-04-13 05:22:21 normalization > city, 2022-04-13 05:22:21 normalization > name, 2022-04-13 05:22:21 normalization > type, 2022-04-13 05:22:21 normalization > phone, 2022-04-13 05:22:21 normalization > state, 2022-04-13 05:22:21 normalization > domain, 2022-04-13 05:22:21 normalization > address, 2022-04-13 05:22:21 normalization > country, 2022-04-13 05:22:21 normalization > is_test, 2022-04-13 05:22:21 normalization > statuts, 2022-04-13 05:22:21 normalization > website, 2022-04-13 05:22:21 normalization > about_us, 2022-04-13 05:22:21 normalization > address2, 2022-04-13 05:22:21 normalization > industry, 2022-04-13 05:22:21 normalization > timezone, 2022-04-13 05:22:21 normalization > closedate, 2022-04-13 05:22:21 normalization > is_funded, 2022-04-13 05:22:21 normalization > is_public, 2022-04-13 05:22:21 normalization > num_notes, 2022-04-13 05:22:21 normalization > createdate, 2022-04-13 05:22:21 normalization > twitterbio, 2022-04-13 05:22:21 normalization > amount_fees, 2022-04-13 05:22:21 normalization > companyname, 2022-04-13 05:22:21 normalization > description, 2022-04-13 05:22:21 normalization > fee_trigger, 2022-04-13 05:22:21 normalization > hs_pipeline, 2022-04-13 05:22:21 normalization > linkedinbio, 2022-04-13 05:22:21 normalization > sector_code, 2022-04-13 05:22:21 normalization > data_missing, 2022-04-13 05:22:21 normalization > facebookfans, 2022-04-13 05:22:21 normalization > founded_year, 2022-04-13 05:22:21 normalization > hs_object_id, 2022-04-13 05:22:21 normalization > hubspotscore, 2022-04-13 05:22:21 normalization > partner_type, 2022-04-13 05:22:21 normalization > annualrevenue, 2022-04-13 05:22:21 normalization > days_to_close, 2022-04-13 05:22:21 normalization > hs_createdate, 2022-04-13 05:22:21 normalization > total_revenue, 2022-04-13 05:22:21 normalization > twitterhandle, 2022-04-13 05:22:21 normalization > hs_lead_status, 2022-04-13 05:22:21 normalization > lifecyclestage, 2022-04-13 05:22:21 normalization > googleplus_page, 2022-04-13 05:22:21 normalization > hs_all_team_ids, 2022-04-13 05:22:21 normalization > hs_num_blockers, 2022-04-13 05:22:21 normalization > hs_time_in_lead, 2022-04-13 05:22:21 normalization > hubspot_team_id, 2022-04-13 05:22:21 normalization > legal_structure, 2022-04-13 05:22:21 normalization > percentage_fees, 2022-04-13 05:22:21 normalization > hs_all_owner_ids, 2022-04-13 05:22:21 normalization > hs_time_in_other, 2022-04-13 05:22:21 normalization > hubspot_owner_id, 2022-04-13 05:22:21 normalization > twitterfollowers, 2022-04-13 05:22:21 normalization > web_technologies, 2022-04-13 05:22:21 normalization > hs_num_open_deals, 2022-04-13 05:22:21 normalization > hs_target_account, 2022-04-13 05:22:21 normalization > mansa_environment, 2022-04-13 05:22:21 normalization > numberofemployees, 2022-04-13 05:22:21 normalization > url_lead_creation, 2022-04-13 05:22:21 normalization > automation_trigger, 2022-04-13 05:22:21 normalization > date_incorporation, 2022-04-13 05:22:21 normalization > notes_last_updated, 2022-04-13 05:22:21 normalization > recent_deal_amount, 2022-04-13 05:22:21 normalization > sector_description, 2022-04-13 05:22:21 normalization > total_money_raised, 2022-04-13 05:22:21 normalization > uuid_mansa_company, 2022-04-13 05:22:21 normalization > volume_loan_annual, 2022-04-13 05:22:21 normalization > hs_analytics_source, 2022-04-13 05:22:21 normalization > hs_date_exited_lead, 2022-04-13 05:22:21 normalization > hs_lastmodifieddate, 2022-04-13 05:22:21 normalization > hs_time_in_customer, 2022-04-13 05:22:21 normalization > hs_total_deal_value, 2022-04-13 05:22:21 normalization > num_contacted_notes, 2022-04-13 05:22:21 normalization > hs_date_entered_lead, 2022-04-13 05:22:21 normalization > hs_date_exited_other, 2022-04-13 05:22:21 normalization > hs_is_target_account, 2022-04-13 05:22:21 normalization > hs_merged_object_ids, 2022-04-13 05:22:21 normalization > hs_parent_company_id, 2022-04-13 05:22:21 normalization > notes_last_contacted, 2022-04-13 05:22:21 normalization > num_associated_deals, 2022-04-13 05:22:21 normalization > facebook_company_page, 2022-04-13 05:22:21 normalization > first_conversion_date, 2022-04-13 05:22:21 normalization > hs_additional_domains, 2022-04-13 05:22:21 normalization > hs_created_by_user_id, 2022-04-13 05:22:21 normalization > hs_date_entered_other, 2022-04-13 05:22:21 normalization > hs_time_in_evangelist, 2022-04-13 05:22:21 normalization > hs_time_in_subscriber, 2022-04-13 05:22:21 normalization > hs_updated_by_user_id, 2022-04-13 05:22:21 normalization > id_legal_registration, 2022-04-13 05:22:21 normalization > linkedin_company_page, 2022-04-13 05:22:21 normalization > nombre_d_independants, 2022-04-13 05:22:21 normalization > num_conversion_events, 2022-04-13 05:22:21 normalization > hs_last_open_task_date, 2022-04-13 05:22:21 normalization > hs_num_child_companies, 2022-04-13 05:22:21 normalization > hs_num_decision_makers, 2022-04-13 05:22:21 normalization > hs_time_in_opportunity, 2022-04-13 05:22:21 normalization > hs_unique_creation_key, 2022-04-13 05:22:21 normalization > recent_conversion_date, 2022-04-13 05:22:21 normalization > recent_deal_close_date, 2022-04-13 05:22:21 normalization > first_deal_created_date, 2022-04-13 05:22:21 normalization > hs_analytics_num_visits, 2022-04-13 05:22:21 normalization > hs_date_exited_customer, 2022-04-13 05:22:21 normalization > num_associated_contacts, 2022-04-13 05:22:21 normalization > first_contact_createdate, 2022-04-13 05:22:21 normalization > hs_date_entered_customer, 2022-04-13 05:22:21 normalization > hs_last_logged_call_date, 2022-04-13 05:22:21 normalization > legal_structure_specific, 2022-04-13 05:22:21 normalization > notes_next_activity_date, 2022-04-13 05:22:21 normalization > submission_idempotent_id, 2022-04-13 05:22:21 normalization > count_addressable_clients, 2022-04-13 05:22:21 normalization > hs_avatar_filemanager_key, 2022-04-13 05:22:21 normalization > hs_date_exited_evangelist, 2022-04-13 05:22:21 normalization > hs_date_exited_subscriber, 2022-04-13 05:22:21 normalization > hs_ideal_customer_profile, 2022-04-13 05:22:21 normalization > hs_user_ids_of_all_owners, 2022-04-13 05:22:21 normalization > hs_all_accessible_team_ids, 2022-04-13 05:22:21 normalization > hs_analytics_source_data_1, 2022-04-13 05:22:21 normalization > hs_analytics_source_data_2, 2022-04-13 05:22:21 normalization > hs_date_entered_evangelist, 2022-04-13 05:22:21 normalization > hs_date_entered_subscriber, 2022-04-13 05:22:21 normalization > hs_date_exited_opportunity, 2022-04-13 05:22:21 normalization > hs_latest_meeting_activity, 2022-04-13 05:22:21 normalization > hubspot_owner_assigneddate, 2022-04-13 05:22:21 normalization > first_conversion_event_name, 2022-04-13 05:22:21 normalization > hs_analytics_last_timestamp, 2022-04-13 05:22:21 normalization > hs_analytics_num_page_views, 2022-04-13 05:22:21 normalization > hs_date_entered_opportunity, 2022-04-13 05:22:21 normalization > hs_last_booked_meeting_date, 2022-04-13 05:22:21 normalization > hs_last_sales_activity_date, 2022-04-13 05:22:21 normalization > hs_sales_email_last_replied, 2022-04-13 05:22:21 normalization > hs_analytics_first_timestamp, 2022-04-13 05:22:21 normalization > recent_conversion_event_name, 2022-04-13 05:22:21 normalization > average_client_revenue_annual, 2022-04-13 05:22:21 normalization > hs_target_account_probability, 2022-04-13 05:22:21 normalization > hs_time_in_salesqualifiedlead, 2022-04-13 05:22:21 normalization > engagements_last_meeting_booked, 2022-04-13 05:22:21 normalization > hs_last_sales_activity_timestamp, 2022-04-13 05:22:21 normalization > hs_all_assigned_business_unit_ids, 2022-04-13 05:22:21 normalization > hs_analytics_last_visit_timestamp, 2022-04-13 05:22:21 normalization > hs_date_exited_salesqualifiedlead, 2022-04-13 05:22:21 normalization > hs_num_contacts_with_buying_roles, 2022-04-13 05:22:21 normalization > hs_time_in_marketingqualifiedlead, 2022-04-13 05:22:21 normalization > hs_analytics_first_visit_timestamp, 2022-04-13 05:22:21 normalization > hs_date_entered_salesqualifiedlead, 2022-04-13 05:22:21 normalization > hs_date_exited_marketingqualifiedlead, 2022-04-13 05:22:21 normalization > engagements_last_meeting_booked_medium, 2022-04-13 05:22:21 normalization > engagements_last_meeting_booked_source, 2022-04-13 05:22:21 normalization > hs_date_entered_marketingqualifiedlead, 2022-04-13 05:22:21 normalization > hs_target_account_recommendation_state, 2022-04-13 05:22:21 normalization > engagements_last_meeting_booked_campaign, 2022-04-13 05:22:21 normalization > hs_user_ids_of_all_notification_followers, 2022-04-13 05:22:21 normalization > closedate_timestamp_earliest_value_a2a17e6e, 2022-04-13 05:22:21 normalization > hs_analytics_last_touch_converting_campaign, 2022-04-13 05:22:21 normalization > hs_user_ids_of_all_notification_unfollowers, 2022-04-13 05:22:21 normalization > hs_analytics_first_touch_converting_campaign, 2022-04-13 05:22:21 normalization > hs_latest_createdate_of_active_subscriptions, 2022-04-13 05:22:21 normalization > hs_target_account_recommendation_snooze_time, 2022-04-13 05:22:21 normalization > num_conversion_events_cardinality_sum_d095f14b, 2022-04-13 05:22:21 normalization > hs_analytics_num_visits_cardinality_sum_53d952a6, 2022-04-13 05:22:21 normalization > hs_predictivecontactscore_v2_next_max_max_d4e58c1e, 2022-04-13 05:22:21 normalization > hs_analytics_num_page_views_cardinality_sum_e46e85b0, 2022-04-13 05:22:21 normalization > hs_analytics_source_timestamp_earliest_value_25a3a52c, 2022-04-13 05:22:21 normalization > recent_conversion_date_timestamp_latest_value_72856da1, 2022-04-13 05:22:21 normalization > first_conversion_date_timestamp_earliest_value_61f58f2c, 2022-04-13 05:22:21 normalization > first_contact_createdate_timestamp_earliest_value_78b50eea, 2022-04-13 05:22:21 normalization > hs_analytics_last_timestamp_timestamp_latest_value_4e16365a, 2022-04-13 05:22:21 normalization > hs_analytics_source_data_1_timestamp_earliest_value_9b2f1fa1, 2022-04-13 05:22:21 normalization > hs_analytics_source_data_2_timestamp_earliest_value_9b2f9400, 2022-04-13 05:22:21 normalization > recent_conversion_event_name_timestamp_latest_value_66c820bf, 2022-04-13 05:22:21 normalization > first_conversion_event_name_timestamp_earliest_value_68ddae0a, 2022-04-13 05:22:21 normalization > hs_analytics_first_timestamp_timestamp_earliest_value_11e3a63a, 2022-04-13 05:22:21 normalization > hs_analytics_last_visit_timestamp_timestamp_latest_value_999a0fce, 2022-04-13 05:22:21 normalization > hs_analytics_first_visit_timestamp_timestamp_earliest_value_accc17ae, 2022-04-13 05:22:21 normalization > hs_analytics_last_touch_converting_campaign_timestamp_latest_value_81a64e30, 2022-04-13 05:22:21 normalization > hs_analytics_first_touch_converting_campaign_timestamp_earliest_value_4757fe10, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at, 2022-04-13 05:22:21 normalization > _airbyte_properties_hashid 2022-04-13 05:22:21 normalization > from __dbt__cte__companies_properties_ab3 2022-04-13 05:22:21 normalization > -- properties at companies/properties from `mansagroup-datascience`.hubspot_.`companies` 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > and coalesce( 2022-04-13 05:22:21 normalization > cast(_airbyte_emitted_at as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) >= (select max(cast(_airbyte_emitted_at as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > )) from `mansagroup-datascience`.hubspot_.`companies_properties`), 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > true) 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > ); 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 05:04:07.414108 [debug] [Thread-2 ]: On model.airbyte_utils.engagements_calls_properties: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.engagements_calls_properties"} */ 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > create or replace table `mansagroup-datascience`.hubspot_.`engagements_calls_properties__dbt_tmp` 2022-04-13 05:22:21 normalization > partition by timestamp_trunc(_airbyte_emitted_at, day) 2022-04-13 05:22:21 normalization > cluster by _airbyte_emitted_at 2022-04-13 05:22:21 normalization > OPTIONS( 2022-04-13 05:22:21 normalization > expiration_timestamp=TIMESTAMP_ADD(CURRENT_TIMESTAMP(), INTERVAL 12 hour) 2022-04-13 05:22:21 normalization > ) 2022-04-13 05:22:21 normalization > as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > with __dbt__cte__engagements_calls_properties_ab1 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema 2022-04-13 05:22:21 normalization > -- depends_on: `mansagroup-datascience`.hubspot_.`engagements_calls` 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > _airbyte_engagements_calls_hashid, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_call_body']") as hs_call_body, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_object_id']") as hs_object_id, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_timestamp']") as hs_timestamp, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_unique_id']") as hs_unique_id, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_call_title']") as hs_call_title, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_created_by']") as hs_created_by, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_createdate']") as hs_createdate, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_call_app_id']") as hs_call_app_id, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_call_source']") as hs_call_source, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_call_status']") as hs_call_status, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_modified_by']") as hs_modified_by, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_all_team_ids']") as hs_all_team_ids, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_body_preview']") as hs_body_preview, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_gdpr_deleted']") as hs_gdpr_deleted, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_product_name']") as hs_product_name, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hubspot_team_id']") as hubspot_team_id, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_activity_type']") as hs_activity_type, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_all_owner_ids']") as hs_all_owner_ids, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_call_duration']") as hs_call_duration, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hubspot_owner_id']") as hubspot_owner_id, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_attachment_ids']") as hs_attachment_ids, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_call_to_number']") as hs_call_to_number, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_call_disposition']") as hs_call_disposition, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_call_external_id']") as hs_call_external_id, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_call_from_number']") as hs_call_from_number, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_follow_up_action']") as hs_follow_up_action, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_lastmodifieddate']") as hs_lastmodifieddate, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_body_preview_html']") as hs_body_preview_html, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_engagement_source']") as hs_engagement_source, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_merged_object_ids']") as hs_merged_object_ids, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_call_recording_url']") as hs_call_recording_url, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_created_by_user_id']") as hs_created_by_user_id, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_updated_by_user_id']") as hs_updated_by_user_id, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_call_has_transcript']") as hs_call_has_transcript, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_unique_creation_key']") as hs_unique_creation_key, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_engagement_source_id']") as hs_engagement_source_id, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_queue_membership_ids']") as hs_queue_membership_ids, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_call_callee_object_id']") as hs_call_callee_object_id, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_call_transcription_id']") as hs_call_transcription_id, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_calls_service_call_id']") as hs_calls_service_call_id, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_at_mentioned_owner_ids']") as hs_at_mentioned_owner_ids, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_call_zoom_meeting_uuid']") as hs_call_zoom_meeting_uuid, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_user_ids_of_all_owners']") as hs_user_ids_of_all_owners, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_all_accessible_team_ids']") as hs_all_accessible_team_ids, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_call_callee_object_type']") as hs_call_callee_object_type, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hubspot_owner_assigneddate']") as hubspot_owner_assigneddate, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_call_authed_url_provider']") as hs_call_authed_url_provider, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_call_external_account_id']") as hs_call_external_account_id, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_call_video_recording_url']") as hs_call_video_recording_url, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_body_preview_is_truncated']") as hs_body_preview_is_truncated, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_unknown_visitor_conversation']") as hs_unknown_visitor_conversation, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_call_transcript_tracked_terms']") as hs_call_transcript_tracked_terms, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_all_assigned_business_unit_ids']") as hs_all_assigned_business_unit_ids, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_user_ids_of_all_notification_followers']") as hs_user_ids_of_all_notification_followers, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_user_ids_of_all_notification_unfollowers']") as hs_user_ids_of_all_notification_unfollowers, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:21 normalization > from `mansagroup-datascience`.hubspot_.`engagements_calls` as table_alias 2022-04-13 05:22:21 normalization > -- properties at engagements_calls/properties 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > and properties is not null 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > ), __dbt__cte__engagements_calls_properties_ab2 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__engagements_calls_properties_ab1 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > _airbyte_engagements_calls_hashid, 2022-04-13 05:22:21 normalization > cast(hs_call_body as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_call_body, 2022-04-13 05:22:21 normalization > cast(hs_object_id as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_object_id, 2022-04-13 05:22:21 normalization > cast(nullif(hs_timestamp, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_timestamp, 2022-04-13 05:22:21 normalization > cast(hs_unique_id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_unique_id, 2022-04-13 05:22:21 normalization > cast(hs_call_title as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_call_title, 2022-04-13 05:22:21 normalization > cast(hs_created_by as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_created_by, 2022-04-13 05:22:21 normalization > cast(nullif(hs_createdate, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_createdate, 2022-04-13 05:22:21 normalization > cast(hs_call_app_id as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_call_app_id, 2022-04-13 05:22:21 normalization > cast(hs_call_source as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_call_source, 2022-04-13 05:22:21 normalization > cast(hs_call_status as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_call_status, 2022-04-13 05:22:21 normalization > cast(hs_modified_by as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_modified_by, 2022-04-13 05:22:21 normalization > cast(hs_all_team_ids as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_all_team_ids, 2022-04-13 05:22:21 normalization > cast(hs_body_preview as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_body_preview, 2022-04-13 05:22:21 normalization > cast(hs_gdpr_deleted as boolean) as hs_gdpr_deleted, 2022-04-13 05:22:21 normalization > cast(hs_product_name as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_product_name, 2022-04-13 05:22:21 normalization > cast(hubspot_team_id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hubspot_team_id, 2022-04-13 05:22:21 normalization > cast(hs_activity_type as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_activity_type, 2022-04-13 05:22:21 normalization > cast(hs_all_owner_ids as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_all_owner_ids, 2022-04-13 05:22:21 normalization > cast(hs_call_duration as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_call_duration, 2022-04-13 05:22:21 normalization > cast(hubspot_owner_id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hubspot_owner_id, 2022-04-13 05:22:21 normalization > cast(hs_attachment_ids as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_attachment_ids, 2022-04-13 05:22:21 normalization > cast(hs_call_to_number as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_call_to_number, 2022-04-13 05:22:21 normalization > cast(hs_call_disposition as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_call_disposition, 2022-04-13 05:22:21 normalization > cast(hs_call_external_id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_call_external_id, 2022-04-13 05:22:21 normalization > cast(hs_call_from_number as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_call_from_number, 2022-04-13 05:22:21 normalization > cast(hs_follow_up_action as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_follow_up_action, 2022-04-13 05:22:21 normalization > cast(nullif(hs_lastmodifieddate, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_lastmodifieddate, 2022-04-13 05:22:21 normalization > cast(hs_body_preview_html as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_body_preview_html, 2022-04-13 05:22:21 normalization > cast(hs_engagement_source as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_engagement_source, 2022-04-13 05:22:21 normalization > cast(hs_merged_object_ids as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_merged_object_ids, 2022-04-13 05:22:21 normalization > cast(hs_call_recording_url as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_call_recording_url, 2022-04-13 05:22:21 normalization > cast(hs_created_by_user_id as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_created_by_user_id, 2022-04-13 05:22:21 normalization > cast(hs_updated_by_user_id as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_updated_by_user_id, 2022-04-13 05:22:21 normalization > cast(hs_call_has_transcript as boolean) as hs_call_has_transcript, 2022-04-13 05:22:21 normalization > cast(hs_unique_creation_key as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_unique_creation_key, 2022-04-13 05:22:21 normalization > cast(hs_engagement_source_id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_engagement_source_id, 2022-04-13 05:22:21 normalization > cast(hs_queue_membership_ids as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_queue_membership_ids, 2022-04-13 05:22:21 normalization > cast(hs_call_callee_object_id as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_call_callee_object_id, 2022-04-13 05:22:21 normalization > cast(hs_call_transcription_id as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_call_transcription_id, 2022-04-13 05:22:21 normalization > cast(hs_calls_service_call_id as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_calls_service_call_id, 2022-04-13 05:22:21 normalization > cast(hs_at_mentioned_owner_ids as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_at_mentioned_owner_ids, 2022-04-13 05:22:21 normalization > cast(hs_call_zoom_meeting_uuid as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_call_zoom_meeting_uuid, 2022-04-13 05:22:21 normalization > cast(hs_user_ids_of_all_owners as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_user_ids_of_all_owners, 2022-04-13 05:22:21 normalization > cast(hs_all_accessible_team_ids as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_all_accessible_team_ids, 2022-04-13 05:22:21 normalization > cast(hs_call_callee_object_type as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_call_callee_object_type, 2022-04-13 05:22:21 normalization > cast(nullif(hubspot_owner_assigneddate, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hubspot_owner_assigneddate, 2022-04-13 05:22:21 normalization > cast(hs_call_authed_url_provider as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_call_authed_url_provider, 2022-04-13 05:22:21 normalization > cast(hs_call_external_account_id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_call_external_account_id, 2022-04-13 05:22:21 normalization > cast(hs_call_video_recording_url as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_call_video_recording_url, 2022-04-13 05:22:21 normalization > cast(hs_body_preview_is_truncated as boolean) as hs_body_preview_is_truncated, 2022-04-13 05:22:21 normalization > cast(hs_unknown_visitor_conversation as boolean) as hs_unknown_visitor_conversation, 2022-04-13 05:22:21 normalization > cast(hs_call_transcript_tracked_terms as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_call_transcript_tracked_terms, 2022-04-13 05:22:21 normalization > cast(hs_all_assigned_business_unit_ids as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_all_assigned_business_unit_ids, 2022-04-13 05:22:21 normalization > cast(hs_user_ids_of_all_notification_followers as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_user_ids_of_all_notification_followers, 2022-04-13 05:22:21 normalization > cast(hs_user_ids_of_all_notification_unfollowers as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_user_ids_of_all_notification_unfollowers, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:21 normalization > from __dbt__cte__engagements_calls_properties_ab1 2022-04-13 05:22:21 normalization > -- properties at engagements_calls/properties 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > ), __dbt__cte__engagements_calls_properties_ab3 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to build a hash column based on the values of this record 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__engagements_calls_properties_ab2 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > to_hex(md5(cast(concat(coalesce(cast(_airbyte_engagements_calls_hashid as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_call_body as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_object_id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_timestamp as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_unique_id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_call_title as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_created_by as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_createdate as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_call_app_id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_call_source as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_call_status as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_modified_by as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_all_team_ids as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_body_preview as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_gdpr_deleted as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_product_name as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hubspot_team_id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_activity_type as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_all_owner_ids as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_call_duration as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hubspot_owner_id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_attachment_ids as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_call_to_number as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_call_disposition as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_call_external_id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_call_from_number as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_follow_up_action as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_lastmodifieddate as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_body_preview_html as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_engagement_source as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_merged_object_ids as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_call_recording_url as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_created_by_user_id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_updated_by_user_id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_call_has_transcript as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_unique_creation_key as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_engagement_source_id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_queue_membership_ids as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_call_callee_object_id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_call_transcription_id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_calls_service_call_id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_at_mentioned_owner_ids as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_call_zoom_meeting_uuid as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_user_ids_of_all_owners as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_all_accessible_team_ids as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_call_callee_object_type as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hubspot_owner_assigneddate as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_call_authed_url_provider as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_call_external_account_id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_call_video_recording_url as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_body_preview_is_truncated as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_unknown_visitor_conversation as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_call_transcript_tracked_terms as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_all_assigned_business_unit_ids as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_user_ids_of_all_notification_followers as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_user_ids_of_all_notification_unfollowers as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), '')) as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ))) as _airbyte_properties_hashid, 2022-04-13 05:22:21 normalization > tmp.* 2022-04-13 05:22:21 normalization > from __dbt__cte__engagements_calls_properties_ab2 tmp 2022-04-13 05:22:21 normalization > -- properties at engagements_calls/properties 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > )-- Final base SQL model 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__engagements_calls_properties_ab3 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > _airbyte_engagements_calls_hashid, 2022-04-13 05:22:21 normalization > hs_call_body, 2022-04-13 05:22:21 normalization > hs_object_id, 2022-04-13 05:22:21 normalization > hs_timestamp, 2022-04-13 05:22:21 normalization > hs_unique_id, 2022-04-13 05:22:21 normalization > hs_call_title, 2022-04-13 05:22:21 normalization > hs_created_by, 2022-04-13 05:22:21 normalization > hs_createdate, 2022-04-13 05:22:21 normalization > hs_call_app_id, 2022-04-13 05:22:21 normalization > hs_call_source, 2022-04-13 05:22:21 normalization > hs_call_status, 2022-04-13 05:22:21 normalization > hs_modified_by, 2022-04-13 05:22:21 normalization > hs_all_team_ids, 2022-04-13 05:22:21 normalization > hs_body_preview, 2022-04-13 05:22:21 normalization > hs_gdpr_deleted, 2022-04-13 05:22:21 normalization > hs_product_name, 2022-04-13 05:22:21 normalization > hubspot_team_id, 2022-04-13 05:22:21 normalization > hs_activity_type, 2022-04-13 05:22:21 normalization > hs_all_owner_ids, 2022-04-13 05:22:21 normalization > hs_call_duration, 2022-04-13 05:22:21 normalization > hubspot_owner_id, 2022-04-13 05:22:21 normalization > hs_attachment_ids, 2022-04-13 05:22:21 normalization > hs_call_to_number, 2022-04-13 05:22:21 normalization > hs_call_disposition, 2022-04-13 05:22:21 normalization > hs_call_external_id, 2022-04-13 05:22:21 normalization > hs_call_from_number, 2022-04-13 05:22:21 normalization > hs_follow_up_action, 2022-04-13 05:22:21 normalization > hs_lastmodifieddate, 2022-04-13 05:22:21 normalization > hs_body_preview_html, 2022-04-13 05:22:21 normalization > hs_engagement_source, 2022-04-13 05:22:21 normalization > hs_merged_object_ids, 2022-04-13 05:22:21 normalization > hs_call_recording_url, 2022-04-13 05:22:21 normalization > hs_created_by_user_id, 2022-04-13 05:22:21 normalization > hs_updated_by_user_id, 2022-04-13 05:22:21 normalization > hs_call_has_transcript, 2022-04-13 05:22:21 normalization > hs_unique_creation_key, 2022-04-13 05:22:21 normalization > hs_engagement_source_id, 2022-04-13 05:22:21 normalization > hs_queue_membership_ids, 2022-04-13 05:22:21 normalization > hs_call_callee_object_id, 2022-04-13 05:22:21 normalization > hs_call_transcription_id, 2022-04-13 05:22:21 normalization > hs_calls_service_call_id, 2022-04-13 05:22:21 normalization > hs_at_mentioned_owner_ids, 2022-04-13 05:22:21 normalization > hs_call_zoom_meeting_uuid, 2022-04-13 05:22:21 normalization > hs_user_ids_of_all_owners, 2022-04-13 05:22:21 normalization > hs_all_accessible_team_ids, 2022-04-13 05:22:21 normalization > hs_call_callee_object_type, 2022-04-13 05:22:21 normalization > hubspot_owner_assigneddate, 2022-04-13 05:22:21 normalization > hs_call_authed_url_provider, 2022-04-13 05:22:21 normalization > hs_call_external_account_id, 2022-04-13 05:22:21 normalization > hs_call_video_recording_url, 2022-04-13 05:22:21 normalization > hs_body_preview_is_truncated, 2022-04-13 05:22:21 normalization > hs_unknown_visitor_conversation, 2022-04-13 05:22:21 normalization > hs_call_transcript_tracked_terms, 2022-04-13 05:22:21 normalization > hs_all_assigned_business_unit_ids, 2022-04-13 05:22:21 normalization > hs_user_ids_of_all_notification_followers, 2022-04-13 05:22:21 normalization > hs_user_ids_of_all_notification_unfollowers, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at, 2022-04-13 05:22:21 normalization > _airbyte_properties_hashid 2022-04-13 05:22:21 normalization > from __dbt__cte__engagements_calls_properties_ab3 2022-04-13 05:22:21 normalization > -- properties at engagements_calls/properties from `mansagroup-datascience`.hubspot_.`engagements_calls` 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > and coalesce( 2022-04-13 05:22:21 normalization > cast(_airbyte_emitted_at as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) >= (select max(cast(_airbyte_emitted_at as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > )) from `mansagroup-datascience`.hubspot_.`engagements_calls_properties`), 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > true) 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > ); 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 05:04:07.422317 [debug] [Thread-1 ]: On model.airbyte_utils.quotes_properties: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.quotes_properties"} */ 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > create or replace table `mansagroup-datascience`.hubspot_.`quotes_properties__dbt_tmp` 2022-04-13 05:22:21 normalization > partition by timestamp_trunc(_airbyte_emitted_at, day) 2022-04-13 05:22:21 normalization > cluster by _airbyte_emitted_at 2022-04-13 05:22:21 normalization > OPTIONS( 2022-04-13 05:22:21 normalization > expiration_timestamp=TIMESTAMP_ADD(CURRENT_TIMESTAMP(), INTERVAL 12 hour) 2022-04-13 05:22:21 normalization > ) 2022-04-13 05:22:21 normalization > as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > with __dbt__cte__quotes_properties_ab1 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema 2022-04-13 05:22:21 normalization > -- depends_on: `mansagroup-datascience`.hubspot_.`quotes` 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > _airbyte_quotes_hashid, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_slug']") as hs_slug, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_terms']") as hs_terms, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_title']") as hs_title, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_domain']") as hs_domain, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_locale']") as hs_locale, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_locked']") as hs_locked, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_status']") as hs_status, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['num_notes']") as num_notes, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_comments']") as hs_comments, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_currency']") as hs_currency, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_feedback']") as hs_feedback, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_language']") as hs_language, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_logo_url']") as hs_logo_url, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_template']") as hs_template, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_timezone']") as hs_timezone, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_object_id']") as hs_object_id, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_test_mode']") as hs_test_mode, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_createdate']") as hs_createdate, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_esign_date']") as hs_esign_date, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_approver_id']") as hs_approver_id, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_all_team_ids']") as hs_all_team_ids, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_payment_date']") as hs_payment_date, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_payment_type']") as hs_payment_type, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_quote_amount']") as hs_quote_amount, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_quote_number']") as hs_quote_number, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_sender_email']") as hs_sender_email, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_sender_phone']") as hs_sender_phone, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hubspot_team_id']") as hubspot_team_id, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_all_owner_ids']") as hs_all_owner_ids, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_esign_enabled']") as hs_esign_enabled, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_primary_color']") as hs_primary_color, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_template_type']") as hs_template_type, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hubspot_owner_id']") as hubspot_owner_id, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_payment_status']") as hs_payment_status, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_public_url_key']") as hs_public_url_key, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_expiration_date']") as hs_expiration_date, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_payment_enabled']") as hs_payment_enabled, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_sender_jobtitle']") as hs_sender_jobtitle, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_sender_lastname']") as hs_sender_lastname, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['notes_last_updated']") as notes_last_updated, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_lastmodifieddate']") as hs_lastmodifieddate, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_sender_firstname']") as hs_sender_firstname, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_sender_image_url']") as hs_sender_image_url, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['num_contacted_notes']") as num_contacted_notes, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_merged_object_ids']") as hs_merged_object_ids, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_pdf_download_link']") as hs_pdf_download_link, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['notes_last_contacted']") as notes_last_contacted, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_created_by_user_id']") as hs_created_by_user_id, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_sender_company_zip']") as hs_sender_company_zip, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_show_signature_box']") as hs_show_signature_box, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_updated_by_user_id']") as hs_updated_by_user_id, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_sender_company_city']") as hs_sender_company_city, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_sender_company_name']") as hs_sender_company_name, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_unique_creation_key']") as hs_unique_creation_key, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_num_associated_deals']") as hs_num_associated_deals, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_sender_company_state']") as hs_sender_company_state, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_sender_company_domain']") as hs_sender_company_domain, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['notes_next_activity_date']") as notes_next_activity_date, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_quote_total_preference']") as hs_quote_total_preference, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_sender_company_address']") as hs_sender_company_address, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_sender_company_country']") as hs_sender_company_country, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_user_ids_of_all_owners']") as hs_user_ids_of_all_owners, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_all_accessible_team_ids']") as hs_all_accessible_team_ids, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_allowed_payment_methods']") as hs_allowed_payment_methods, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_collect_billing_address']") as hs_collect_billing_address, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_sender_company_address2']") as hs_sender_company_address2, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hubspot_owner_assigneddate']") as hubspot_owner_assigneddate, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_collect_shipping_address']") as hs_collect_shipping_address, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_expiration_template_path']") as hs_expiration_template_path, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_sales_email_last_replied']") as hs_sales_email_last_replied, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_sender_company_image_url']") as hs_sender_company_image_url, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_show_countersignature_box']") as hs_show_countersignature_box, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_esign_num_signers_required']") as hs_esign_num_signers_required, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_esign_num_signers_completed']") as hs_esign_num_signers_completed, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_all_assigned_business_unit_ids']") as hs_all_assigned_business_unit_ids, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_user_ids_of_all_notification_followers']") as hs_user_ids_of_all_notification_followers, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_user_ids_of_all_notification_unfollowers']") as hs_user_ids_of_all_notification_unfollowers, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_line_item_global_term_hs_discount_percentage']") as hs_line_item_global_term_hs_discount_percentage, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_line_item_global_term_recurringbillingfrequency']") as hs_line_item_global_term_recurringbillingfrequency, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_line_item_global_term_hs_recurring_billing_period']") as hs_line_item_global_term_hs_recurring_billing_period, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_line_item_global_term_hs_discount_percentage_enabled']") as hs_line_item_global_term_hs_discount_percentage_enabled, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_line_item_global_term_hs_recurring_billing_start_date']") as hs_line_item_global_term_hs_recurring_billing_start_date, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_line_item_global_term_recurringbillingfrequency_enabled']") as hs_line_item_global_term_recurringbillingfrequency_enabled, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_line_item_global_term_hs_recurring_billing_period_enabled']") as hs_line_item_global_term_hs_recurring_billing_period_enabled, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_line_item_global_term_hs_recurring_billing_start_date_enabled']") as hs_line_item_global_term_hs_recurring_billing_start_date_enabled, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:21 normalization > from `mansagroup-datascience`.hubspot_.`quotes` as table_alias 2022-04-13 05:22:21 normalization > -- properties at quotes/properties 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > and properties is not null 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > ), __dbt__cte__quotes_properties_ab2 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__quotes_properties_ab1 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > _airbyte_quotes_hashid, 2022-04-13 05:22:21 normalization > cast(hs_slug as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_slug, 2022-04-13 05:22:21 normalization > cast(hs_terms as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_terms, 2022-04-13 05:22:21 normalization > cast(hs_title as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_title, 2022-04-13 05:22:21 normalization > cast(hs_domain as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_domain, 2022-04-13 05:22:21 normalization > cast(hs_locale as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_locale, 2022-04-13 05:22:21 normalization > cast(hs_locked as boolean) as hs_locked, 2022-04-13 05:22:21 normalization > cast(hs_status as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_status, 2022-04-13 05:22:21 normalization > cast(num_notes as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as num_notes, 2022-04-13 05:22:21 normalization > cast(hs_comments as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_comments, 2022-04-13 05:22:21 normalization > cast(hs_currency as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_currency, 2022-04-13 05:22:21 normalization > cast(hs_feedback as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_feedback, 2022-04-13 05:22:21 normalization > cast(hs_language as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_language, 2022-04-13 05:22:21 normalization > cast(hs_logo_url as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_logo_url, 2022-04-13 05:22:21 normalization > cast(hs_template as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_template, 2022-04-13 05:22:21 normalization > cast(hs_timezone as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_timezone, 2022-04-13 05:22:21 normalization > cast(hs_object_id as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_object_id, 2022-04-13 05:22:21 normalization > cast(hs_test_mode as boolean) as hs_test_mode, 2022-04-13 05:22:21 normalization > cast(nullif(hs_createdate, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_createdate, 2022-04-13 05:22:21 normalization > cast(nullif(hs_esign_date, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_esign_date, 2022-04-13 05:22:21 normalization > cast(hs_approver_id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_approver_id, 2022-04-13 05:22:21 normalization > cast(hs_all_team_ids as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_all_team_ids, 2022-04-13 05:22:21 normalization > cast(nullif(hs_payment_date, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_payment_date, 2022-04-13 05:22:21 normalization > cast(hs_payment_type as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_payment_type, 2022-04-13 05:22:21 normalization > cast(hs_quote_amount as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_quote_amount, 2022-04-13 05:22:21 normalization > cast(hs_quote_number as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_quote_number, 2022-04-13 05:22:21 normalization > cast(hs_sender_email as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_sender_email, 2022-04-13 05:22:21 normalization > cast(hs_sender_phone as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_sender_phone, 2022-04-13 05:22:21 normalization > cast(hubspot_team_id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hubspot_team_id, 2022-04-13 05:22:21 normalization > cast(hs_all_owner_ids as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_all_owner_ids, 2022-04-13 05:22:21 normalization > cast(hs_esign_enabled as boolean) as hs_esign_enabled, 2022-04-13 05:22:21 normalization > cast(hs_primary_color as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_primary_color, 2022-04-13 05:22:21 normalization > cast(hs_template_type as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_template_type, 2022-04-13 05:22:21 normalization > cast(hubspot_owner_id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hubspot_owner_id, 2022-04-13 05:22:21 normalization > cast(hs_payment_status as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_payment_status, 2022-04-13 05:22:21 normalization > cast(hs_public_url_key as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_public_url_key, 2022-04-13 05:22:21 normalization > cast(nullif(hs_expiration_date, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_expiration_date, 2022-04-13 05:22:21 normalization > cast(hs_payment_enabled as boolean) as hs_payment_enabled, 2022-04-13 05:22:21 normalization > cast(hs_sender_jobtitle as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_sender_jobtitle, 2022-04-13 05:22:21 normalization > cast(hs_sender_lastname as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_sender_lastname, 2022-04-13 05:22:21 normalization > cast(nullif(notes_last_updated, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as notes_last_updated, 2022-04-13 05:22:21 normalization > cast(nullif(hs_lastmodifieddate, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_lastmodifieddate, 2022-04-13 05:22:21 normalization > cast(hs_sender_firstname as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_sender_firstname, 2022-04-13 05:22:21 normalization > cast(hs_sender_image_url as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_sender_image_url, 2022-04-13 05:22:21 normalization > cast(num_contacted_notes as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as num_contacted_notes, 2022-04-13 05:22:21 normalization > cast(hs_merged_object_ids as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_merged_object_ids, 2022-04-13 05:22:21 normalization > cast(hs_pdf_download_link as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_pdf_download_link, 2022-04-13 05:22:21 normalization > cast(nullif(notes_last_contacted, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as notes_last_contacted, 2022-04-13 05:22:21 normalization > cast(hs_created_by_user_id as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_created_by_user_id, 2022-04-13 05:22:21 normalization > cast(hs_sender_company_zip as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_sender_company_zip, 2022-04-13 05:22:21 normalization > cast(hs_show_signature_box as boolean) as hs_show_signature_box, 2022-04-13 05:22:21 normalization > cast(hs_updated_by_user_id as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_updated_by_user_id, 2022-04-13 05:22:21 normalization > cast(hs_sender_company_city as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_sender_company_city, 2022-04-13 05:22:21 normalization > cast(hs_sender_company_name as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_sender_company_name, 2022-04-13 05:22:21 normalization > cast(hs_unique_creation_key as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_unique_creation_key, 2022-04-13 05:22:21 normalization > cast(hs_num_associated_deals as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_num_associated_deals, 2022-04-13 05:22:21 normalization > cast(hs_sender_company_state as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_sender_company_state, 2022-04-13 05:22:21 normalization > cast(hs_sender_company_domain as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_sender_company_domain, 2022-04-13 05:22:21 normalization > cast(nullif(notes_next_activity_date, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as notes_next_activity_date, 2022-04-13 05:22:21 normalization > cast(hs_quote_total_preference as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_quote_total_preference, 2022-04-13 05:22:21 normalization > cast(hs_sender_company_address as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_sender_company_address, 2022-04-13 05:22:21 normalization > cast(hs_sender_company_country as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_sender_company_country, 2022-04-13 05:22:21 normalization > cast(hs_user_ids_of_all_owners as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_user_ids_of_all_owners, 2022-04-13 05:22:21 normalization > cast(hs_all_accessible_team_ids as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_all_accessible_team_ids, 2022-04-13 05:22:21 normalization > cast(hs_allowed_payment_methods as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_allowed_payment_methods, 2022-04-13 05:22:21 normalization > cast(hs_collect_billing_address as boolean) as hs_collect_billing_address, 2022-04-13 05:22:21 normalization > cast(hs_sender_company_address2 as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_sender_company_address2, 2022-04-13 05:22:21 normalization > cast(nullif(hubspot_owner_assigneddate, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hubspot_owner_assigneddate, 2022-04-13 05:22:21 normalization > cast(hs_collect_shipping_address as boolean) as hs_collect_shipping_address, 2022-04-13 05:22:21 normalization > cast(hs_expiration_template_path as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_expiration_template_path, 2022-04-13 05:22:21 normalization > cast(nullif(hs_sales_email_last_replied, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_sales_email_last_replied, 2022-04-13 05:22:21 normalization > cast(hs_sender_company_image_url as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_sender_company_image_url, 2022-04-13 05:22:21 normalization > cast(hs_show_countersignature_box as boolean) as hs_show_countersignature_box, 2022-04-13 05:22:21 normalization > cast(hs_esign_num_signers_required as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_esign_num_signers_required, 2022-04-13 05:22:21 normalization > cast(hs_esign_num_signers_completed as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_esign_num_signers_completed, 2022-04-13 05:22:21 normalization > cast(hs_all_assigned_business_unit_ids as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_all_assigned_business_unit_ids, 2022-04-13 05:22:21 normalization > cast(hs_user_ids_of_all_notification_followers as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_user_ids_of_all_notification_followers, 2022-04-13 05:22:21 normalization > cast(hs_user_ids_of_all_notification_unfollowers as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_user_ids_of_all_notification_unfollowers, 2022-04-13 05:22:21 normalization > cast(hs_line_item_global_term_hs_discount_percentage as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_line_item_global_term_hs_discount_percentage, 2022-04-13 05:22:21 normalization > cast(hs_line_item_global_term_recurringbillingfrequency as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_line_item_global_term_recurringbillingfrequency, 2022-04-13 05:22:21 normalization > cast(hs_line_item_global_term_hs_recurring_billing_period as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_line_item_global_term_hs_recurring_billing_period, 2022-04-13 05:22:21 normalization > cast(hs_line_item_global_term_hs_discount_percentage_enabled as boolean) as hs_line_item_global_term_hs_discount_percentage_enabled, 2022-04-13 05:22:21 normalization > cast(hs_line_item_global_term_hs_recurring_billing_start_date as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_line_item_global_term_hs_recurring_billing_start_date, 2022-04-13 05:22:21 normalization > cast(hs_line_item_global_term_recurringbillingfrequency_enabled as boolean) as hs_line_item_global_term_recurringbillingfrequency_enabled, 2022-04-13 05:22:21 normalization > cast(hs_line_item_global_term_hs_recurring_billing_period_enabled as boolean) as hs_line_item_global_term_hs_recurring_billing_period_enabled, 2022-04-13 05:22:21 normalization > cast(hs_line_item_global_term_hs_recurring_billing_start_date_enabled as boolean) as hs_line_item_global_term_hs_recurring_billing_start_date_enabled, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:21 normalization > from __dbt__cte__quotes_properties_ab1 2022-04-13 05:22:21 normalization > -- properties at quotes/properties 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > ), __dbt__cte__quotes_properties_ab3 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to build a hash column based on the values of this record 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__quotes_properties_ab2 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > to_hex(md5(cast(concat(coalesce(cast(_airbyte_quotes_hashid as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_slug as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_terms as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_title as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_domain as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_locale as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_locked as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_status as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(num_notes as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_comments as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_currency as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_feedback as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_language as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_logo_url as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_template as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_timezone as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_object_id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_test_mode as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_createdate as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_esign_date as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_approver_id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_all_team_ids as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_payment_date as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_payment_type as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_quote_amount as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_quote_number as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_sender_email as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_sender_phone as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hubspot_team_id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_all_owner_ids as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_esign_enabled as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_primary_color as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_template_type as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hubspot_owner_id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_payment_status as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_public_url_key as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_expiration_date as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_payment_enabled as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_sender_jobtitle as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_sender_lastname as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(notes_last_updated as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_lastmodifieddate as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_sender_firstname as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_sender_image_url as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(num_contacted_notes as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_merged_object_ids as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_pdf_download_link as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(notes_last_contacted as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_created_by_user_id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_sender_company_zip as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_show_signature_box as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_updated_by_user_id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_sender_company_city as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_sender_company_name as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_unique_creation_key as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_num_associated_deals as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_sender_company_state as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_sender_company_domain as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(notes_next_activity_date as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_quote_total_preference as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_sender_company_address as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_sender_company_country as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_user_ids_of_all_owners as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_all_accessible_team_ids as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_allowed_payment_methods as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_collect_billing_address as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_sender_company_address2 as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hubspot_owner_assigneddate as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_collect_shipping_address as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_expiration_template_path as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_sales_email_last_replied as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_sender_company_image_url as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_show_countersignature_box as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_esign_num_signers_required as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_esign_num_signers_completed as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_all_assigned_business_unit_ids as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_user_ids_of_all_notification_followers as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_user_ids_of_all_notification_unfollowers as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_line_item_global_term_hs_discount_percentage as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_line_item_global_term_recurringbillingfrequency as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_line_item_global_term_hs_recurring_billing_period as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_line_item_global_term_hs_discount_percentage_enabled as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_line_item_global_term_hs_recurring_billing_start_date as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_line_item_global_term_recurringbillingfrequency_enabled as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_line_item_global_term_hs_recurring_billing_period_enabled as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_line_item_global_term_hs_recurring_billing_start_date_enabled as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), '')) as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ))) as _airbyte_properties_hashid, 2022-04-13 05:22:21 normalization > tmp.* 2022-04-13 05:22:21 normalization > from __dbt__cte__quotes_properties_ab2 tmp 2022-04-13 05:22:21 normalization > -- properties at quotes/properties 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > )-- Final base SQL model 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__quotes_properties_ab3 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > _airbyte_quotes_hashid, 2022-04-13 05:22:21 normalization > hs_slug, 2022-04-13 05:22:21 normalization > hs_terms, 2022-04-13 05:22:21 normalization > hs_title, 2022-04-13 05:22:21 normalization > hs_domain, 2022-04-13 05:22:21 normalization > hs_locale, 2022-04-13 05:22:21 normalization > hs_locked, 2022-04-13 05:22:21 normalization > hs_status, 2022-04-13 05:22:21 normalization > num_notes, 2022-04-13 05:22:21 normalization > hs_comments, 2022-04-13 05:22:21 normalization > hs_currency, 2022-04-13 05:22:21 normalization > hs_feedback, 2022-04-13 05:22:21 normalization > hs_language, 2022-04-13 05:22:21 normalization > hs_logo_url, 2022-04-13 05:22:21 normalization > hs_template, 2022-04-13 05:22:21 normalization > hs_timezone, 2022-04-13 05:22:21 normalization > hs_object_id, 2022-04-13 05:22:21 normalization > hs_test_mode, 2022-04-13 05:22:21 normalization > hs_createdate, 2022-04-13 05:22:21 normalization > hs_esign_date, 2022-04-13 05:22:21 normalization > hs_approver_id, 2022-04-13 05:22:21 normalization > hs_all_team_ids, 2022-04-13 05:22:21 normalization > hs_payment_date, 2022-04-13 05:22:21 normalization > hs_payment_type, 2022-04-13 05:22:21 normalization > hs_quote_amount, 2022-04-13 05:22:21 normalization > hs_quote_number, 2022-04-13 05:22:21 normalization > hs_sender_email, 2022-04-13 05:22:21 normalization > hs_sender_phone, 2022-04-13 05:22:21 normalization > hubspot_team_id, 2022-04-13 05:22:21 normalization > hs_all_owner_ids, 2022-04-13 05:22:21 normalization > hs_esign_enabled, 2022-04-13 05:22:21 normalization > hs_primary_color, 2022-04-13 05:22:21 normalization > hs_template_type, 2022-04-13 05:22:21 normalization > hubspot_owner_id, 2022-04-13 05:22:21 normalization > hs_payment_status, 2022-04-13 05:22:21 normalization > hs_public_url_key, 2022-04-13 05:22:21 normalization > hs_expiration_date, 2022-04-13 05:22:21 normalization > hs_payment_enabled, 2022-04-13 05:22:21 normalization > hs_sender_jobtitle, 2022-04-13 05:22:21 normalization > hs_sender_lastname, 2022-04-13 05:22:21 normalization > notes_last_updated, 2022-04-13 05:22:21 normalization > hs_lastmodifieddate, 2022-04-13 05:22:21 normalization > hs_sender_firstname, 2022-04-13 05:22:21 normalization > hs_sender_image_url, 2022-04-13 05:22:21 normalization > num_contacted_notes, 2022-04-13 05:22:21 normalization > hs_merged_object_ids, 2022-04-13 05:22:21 normalization > hs_pdf_download_link, 2022-04-13 05:22:21 normalization > notes_last_contacted, 2022-04-13 05:22:21 normalization > hs_created_by_user_id, 2022-04-13 05:22:21 normalization > hs_sender_company_zip, 2022-04-13 05:22:21 normalization > hs_show_signature_box, 2022-04-13 05:22:21 normalization > hs_updated_by_user_id, 2022-04-13 05:22:21 normalization > hs_sender_company_city, 2022-04-13 05:22:21 normalization > hs_sender_company_name, 2022-04-13 05:22:21 normalization > hs_unique_creation_key, 2022-04-13 05:22:21 normalization > hs_num_associated_deals, 2022-04-13 05:22:21 normalization > hs_sender_company_state, 2022-04-13 05:22:21 normalization > hs_sender_company_domain, 2022-04-13 05:22:21 normalization > notes_next_activity_date, 2022-04-13 05:22:21 normalization > hs_quote_total_preference, 2022-04-13 05:22:21 normalization > hs_sender_company_address, 2022-04-13 05:22:21 normalization > hs_sender_company_country, 2022-04-13 05:22:21 normalization > hs_user_ids_of_all_owners, 2022-04-13 05:22:21 normalization > hs_all_accessible_team_ids, 2022-04-13 05:22:21 normalization > hs_allowed_payment_methods, 2022-04-13 05:22:21 normalization > hs_collect_billing_address, 2022-04-13 05:22:21 normalization > hs_sender_company_address2, 2022-04-13 05:22:21 normalization > hubspot_owner_assigneddate, 2022-04-13 05:22:21 normalization > hs_collect_shipping_address, 2022-04-13 05:22:21 normalization > hs_expiration_template_path, 2022-04-13 05:22:21 normalization > hs_sales_email_last_replied, 2022-04-13 05:22:21 normalization > hs_sender_company_image_url, 2022-04-13 05:22:21 normalization > hs_show_countersignature_box, 2022-04-13 05:22:21 normalization > hs_esign_num_signers_required, 2022-04-13 05:22:21 normalization > hs_esign_num_signers_completed, 2022-04-13 05:22:21 normalization > hs_all_assigned_business_unit_ids, 2022-04-13 05:22:21 normalization > hs_user_ids_of_all_notification_followers, 2022-04-13 05:22:21 normalization > hs_user_ids_of_all_notification_unfollowers, 2022-04-13 05:22:21 normalization > hs_line_item_global_term_hs_discount_percentage, 2022-04-13 05:22:21 normalization > hs_line_item_global_term_recurringbillingfrequency, 2022-04-13 05:22:21 normalization > hs_line_item_global_term_hs_recurring_billing_period, 2022-04-13 05:22:21 normalization > hs_line_item_global_term_hs_discount_percentage_enabled, 2022-04-13 05:22:21 normalization > hs_line_item_global_term_hs_recurring_billing_start_date, 2022-04-13 05:22:21 normalization > hs_line_item_global_term_recurringbillingfrequency_enabled, 2022-04-13 05:22:21 normalization > hs_line_item_global_term_hs_recurring_billing_period_enabled, 2022-04-13 05:22:21 normalization > hs_line_item_global_term_hs_recurring_billing_start_date_enabled, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at, 2022-04-13 05:22:21 normalization > _airbyte_properties_hashid 2022-04-13 05:22:21 normalization > from __dbt__cte__quotes_properties_ab3 2022-04-13 05:22:21 normalization > -- properties at quotes/properties from `mansagroup-datascience`.hubspot_.`quotes` 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > and coalesce( 2022-04-13 05:22:21 normalization > cast(_airbyte_emitted_at as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) >= (select max(cast(_airbyte_emitted_at as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > )) from `mansagroup-datascience`.hubspot_.`quotes_properties`), 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > true) 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > ); 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 05:04:07.426267 [debug] [Thread-5 ]: On model.airbyte_utils.subscription_changes_changes: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.subscription_changes_changes"} */ 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > create or replace table `mansagroup-datascience`.hubspot_.`subscription_changes_changes__dbt_tmp` 2022-04-13 05:22:21 normalization > partition by timestamp_trunc(_airbyte_emitted_at, day) 2022-04-13 05:22:21 normalization > cluster by _airbyte_emitted_at 2022-04-13 05:22:21 normalization > OPTIONS( 2022-04-13 05:22:21 normalization > expiration_timestamp=TIMESTAMP_ADD(CURRENT_TIMESTAMP(), INTERVAL 12 hour) 2022-04-13 05:22:21 normalization > ) 2022-04-13 05:22:21 normalization > as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > with __dbt__cte__subscription_changes_changes_ab1 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema 2022-04-13 05:22:21 normalization > -- depends_on: `mansagroup-datascience`.hubspot_.`subscription_changes` 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > _airbyte_subscription_changes_hashid, 2022-04-13 05:22:21 normalization > json_extract_scalar(changes, "$['change']") as change, 2022-04-13 05:22:21 normalization > json_extract_scalar(changes, "$['source']") as source, 2022-04-13 05:22:21 normalization > json_extract_scalar(changes, "$['portalId']") as portalId, 2022-04-13 05:22:21 normalization > json_extract_scalar(changes, "$['timestamp']") as timestamp, 2022-04-13 05:22:21 normalization > json_extract_scalar(changes, "$['changeType']") as changeType, 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > json_extract(changes, "$['causedByEvent']") 2022-04-13 05:22:21 normalization > as causedByEvent, 2022-04-13 05:22:21 normalization > json_extract_scalar(changes, "$['subscriptionId']") as subscriptionId, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:21 normalization > from `mansagroup-datascience`.hubspot_.`subscription_changes` as table_alias 2022-04-13 05:22:21 normalization > -- changes at subscription_changes/changes 2022-04-13 05:22:21 normalization > cross join unnest(changes) as changes 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > and changes is not null 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > ), __dbt__cte__subscription_changes_changes_ab2 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__subscription_changes_changes_ab1 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > _airbyte_subscription_changes_hashid, 2022-04-13 05:22:21 normalization > cast(change as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as change, 2022-04-13 05:22:21 normalization > cast(source as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as source, 2022-04-13 05:22:21 normalization > cast(portalId as 2022-04-13 05:22:21 normalization > int64 2022-04-13 05:22:21 normalization > ) as portalId, 2022-04-13 05:22:21 normalization > cast(timestamp as 2022-04-13 05:22:21 normalization > int64 2022-04-13 05:22:21 normalization > ) as timestamp, 2022-04-13 05:22:21 normalization > cast(changeType as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as changeType, 2022-04-13 05:22:21 normalization > cast(causedByEvent as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as causedByEvent, 2022-04-13 05:22:21 normalization > cast(subscriptionId as 2022-04-13 05:22:21 normalization > int64 2022-04-13 05:22:21 normalization > ) as subscriptionId, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:21 normalization > from __dbt__cte__subscription_changes_changes_ab1 2022-04-13 05:22:21 normalization > -- changes at subscription_changes/changes 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > ), __dbt__cte__subscription_changes_changes_ab3 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to build a hash column based on the values of this record 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__subscription_changes_changes_ab2 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > to_hex(md5(cast(concat(coalesce(cast(_airbyte_subscription_changes_hashid as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(change as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(source as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(portalId as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(timestamp as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(changeType as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(causedByEvent as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(subscriptionId as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), '')) as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ))) as _airbyte_changes_hashid, 2022-04-13 05:22:21 normalization > tmp.* 2022-04-13 05:22:21 normalization > from __dbt__cte__subscription_changes_changes_ab2 tmp 2022-04-13 05:22:21 normalization > -- changes at subscription_changes/changes 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > )-- Final base SQL model 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__subscription_changes_changes_ab3 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > _airbyte_subscription_changes_hashid, 2022-04-13 05:22:21 normalization > change, 2022-04-13 05:22:21 normalization > source, 2022-04-13 05:22:21 normalization > portalId, 2022-04-13 05:22:21 normalization > timestamp, 2022-04-13 05:22:21 normalization > changeType, 2022-04-13 05:22:21 normalization > causedByEvent, 2022-04-13 05:22:21 normalization > subscriptionId, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at, 2022-04-13 05:22:21 normalization > _airbyte_changes_hashid 2022-04-13 05:22:21 normalization > from __dbt__cte__subscription_changes_changes_ab3 2022-04-13 05:22:21 normalization > -- changes at subscription_changes/changes from `mansagroup-datascience`.hubspot_.`subscription_changes` 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > and coalesce( 2022-04-13 05:22:21 normalization > cast(_airbyte_emitted_at as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) >= (select max(cast(_airbyte_emitted_at as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > )) from `mansagroup-datascience`.hubspot_.`subscription_changes_changes`), 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > true) 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > ); 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 05:04:07.993599 [debug] [Thread-8 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:04:07.994249 [info ] [Thread-8 ]: 21 of 77 OK created incremental model hubspot_.engagements_notes........................................................ [MERGE (76.1k rows, 229.3 MB processed) in 31.61s] 2022-04-13 05:22:21 normalization > 05:04:07.994685 [debug] [Thread-8 ]: Finished running node model.airbyte_utils.engagements_notes 2022-04-13 05:22:21 normalization > 05:04:07.994890 [debug] [Thread-8 ]: Began running node model.airbyte_utils.engagements_meetings_properties 2022-04-13 05:22:21 normalization > 05:04:07.995405 [info ] [Thread-8 ]: 44 of 77 START incremental model hubspot_.engagements_meetings_properties............................................... [RUN] 2022-04-13 05:22:21 normalization > 05:04:07.996129 [debug] [Thread-8 ]: Acquiring new bigquery connection "model.airbyte_utils.engagements_meetings_properties" 2022-04-13 05:22:21 normalization > 05:04:07.996340 [debug] [Thread-8 ]: Began compiling node model.airbyte_utils.engagements_meetings_properties 2022-04-13 05:22:21 normalization > 05:04:07.996503 [debug] [Thread-8 ]: Compiling model.airbyte_utils.engagements_meetings_properties 2022-04-13 05:22:21 normalization > 05:04:08.004097 [debug] [Thread-8 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:04:08.106265 [debug] [Thread-8 ]: Writing injected SQL for node "model.airbyte_utils.engagements_meetings_properties" 2022-04-13 05:22:21 normalization > 05:04:08.106630 [debug] [Thread-8 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:04:08.106809 [debug] [Thread-8 ]: Began executing node model.airbyte_utils.engagements_meetings_properties 2022-04-13 05:22:21 normalization > 05:04:08.153686 [debug] [Thread-8 ]: On model.airbyte_utils.engagements_meetings_properties: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.engagements_meetings_properties"} */ 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > create or replace table `mansagroup-datascience`.hubspot_.`engagements_meetings_properties__dbt_tmp` 2022-04-13 05:22:21 normalization > partition by timestamp_trunc(_airbyte_emitted_at, day) 2022-04-13 05:22:21 normalization > cluster by _airbyte_emitted_at 2022-04-13 05:22:21 normalization > OPTIONS( 2022-04-13 05:22:21 normalization > expiration_timestamp=TIMESTAMP_ADD(CURRENT_TIMESTAMP(), INTERVAL 12 hour) 2022-04-13 05:22:21 normalization > ) 2022-04-13 05:22:21 normalization > as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > with __dbt__cte__engagements_meetings_properties_ab1 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema 2022-04-13 05:22:21 normalization > -- depends_on: `mansagroup-datascience`.hubspot_.`engagements_meetings` 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > _airbyte_engagements_meetings_hashid, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_i_cal_uid']") as hs_i_cal_uid, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_object_id']") as hs_object_id, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_timestamp']") as hs_timestamp, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_unique_id']") as hs_unique_id, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_created_by']") as hs_created_by, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_createdate']") as hs_createdate, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_modified_by']") as hs_modified_by, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_all_team_ids']") as hs_all_team_ids, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_body_preview']") as hs_body_preview, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_gdpr_deleted']") as hs_gdpr_deleted, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_meeting_body']") as hs_meeting_body, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_product_name']") as hs_product_name, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hubspot_team_id']") as hubspot_team_id, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_activity_type']") as hs_activity_type, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_all_owner_ids']") as hs_all_owner_ids, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_meeting_title']") as hs_meeting_title, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hubspot_owner_id']") as hubspot_owner_id, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_attachment_ids']") as hs_attachment_ids, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_meeting_source']") as hs_meeting_source, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_meeting_outcome']") as hs_meeting_outcome, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_scheduled_tasks']") as hs_scheduled_tasks, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_follow_up_action']") as hs_follow_up_action, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_lastmodifieddate']") as hs_lastmodifieddate, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_meeting_end_time']") as hs_meeting_end_time, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_meeting_location']") as hs_meeting_location, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_body_preview_html']") as hs_body_preview_html, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_engagement_source']") as hs_engagement_source, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_meeting_change_id']") as hs_meeting_change_id, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_meeting_source_id']") as hs_meeting_source_id, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_merged_object_ids']") as hs_merged_object_ids, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_attendee_owner_ids']") as hs_attendee_owner_ids, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_created_by_user_id']") as hs_created_by_user_id, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_meeting_start_time']") as hs_meeting_start_time, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_updated_by_user_id']") as hs_updated_by_user_id, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_unique_creation_key']") as hs_unique_creation_key, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_engagement_source_id']") as hs_engagement_source_id, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_meeting_external_url']") as hs_meeting_external_url, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_queue_membership_ids']") as hs_queue_membership_ids, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_meeting_location_type']") as hs_meeting_location_type, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_at_mentioned_owner_ids']") as hs_at_mentioned_owner_ids, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_internal_meeting_notes']") as hs_internal_meeting_notes, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_user_ids_of_all_owners']") as hs_user_ids_of_all_owners, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_all_accessible_team_ids']") as hs_all_accessible_team_ids, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hubspot_owner_assigneddate']") as hubspot_owner_assigneddate, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_body_preview_is_truncated']") as hs_body_preview_is_truncated, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_meeting_calendar_event_hash']") as hs_meeting_calendar_event_hash, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_meeting_created_from_link_id']") as hs_meeting_created_from_link_id, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_all_assigned_business_unit_ids']") as hs_all_assigned_business_unit_ids, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_meeting_web_conference_meeting_id']") as hs_meeting_web_conference_meeting_id, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_meeting_pre_meeting_prospect_reminders']") as hs_meeting_pre_meeting_prospect_reminders, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_user_ids_of_all_notification_followers']") as hs_user_ids_of_all_notification_followers, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_user_ids_of_all_notification_unfollowers']") as hs_user_ids_of_all_notification_unfollowers, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:21 normalization > from `mansagroup-datascience`.hubspot_.`engagements_meetings` as table_alias 2022-04-13 05:22:21 normalization > -- properties at engagements_meetings/properties 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > and properties is not null 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > ), __dbt__cte__engagements_meetings_properties_ab2 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__engagements_meetings_properties_ab1 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > _airbyte_engagements_meetings_hashid, 2022-04-13 05:22:21 normalization > cast(hs_i_cal_uid as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_i_cal_uid, 2022-04-13 05:22:21 normalization > cast(hs_object_id as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_object_id, 2022-04-13 05:22:21 normalization > cast(nullif(hs_timestamp, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_timestamp, 2022-04-13 05:22:21 normalization > cast(hs_unique_id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_unique_id, 2022-04-13 05:22:21 normalization > cast(hs_created_by as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_created_by, 2022-04-13 05:22:21 normalization > cast(nullif(hs_createdate, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_createdate, 2022-04-13 05:22:21 normalization > cast(hs_modified_by as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_modified_by, 2022-04-13 05:22:21 normalization > cast(hs_all_team_ids as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_all_team_ids, 2022-04-13 05:22:21 normalization > cast(hs_body_preview as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_body_preview, 2022-04-13 05:22:21 normalization > cast(hs_gdpr_deleted as boolean) as hs_gdpr_deleted, 2022-04-13 05:22:21 normalization > cast(hs_meeting_body as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_meeting_body, 2022-04-13 05:22:21 normalization > cast(hs_product_name as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_product_name, 2022-04-13 05:22:21 normalization > cast(hubspot_team_id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hubspot_team_id, 2022-04-13 05:22:21 normalization > cast(hs_activity_type as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_activity_type, 2022-04-13 05:22:21 normalization > cast(hs_all_owner_ids as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_all_owner_ids, 2022-04-13 05:22:21 normalization > cast(hs_meeting_title as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_meeting_title, 2022-04-13 05:22:21 normalization > cast(hubspot_owner_id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hubspot_owner_id, 2022-04-13 05:22:21 normalization > cast(hs_attachment_ids as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_attachment_ids, 2022-04-13 05:22:21 normalization > cast(hs_meeting_source as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_meeting_source, 2022-04-13 05:22:21 normalization > cast(hs_meeting_outcome as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_meeting_outcome, 2022-04-13 05:22:21 normalization > cast(hs_scheduled_tasks as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_scheduled_tasks, 2022-04-13 05:22:21 normalization > cast(hs_follow_up_action as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_follow_up_action, 2022-04-13 05:22:21 normalization > cast(nullif(hs_lastmodifieddate, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_lastmodifieddate, 2022-04-13 05:22:21 normalization > cast(nullif(hs_meeting_end_time, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_meeting_end_time, 2022-04-13 05:22:21 normalization > cast(hs_meeting_location as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_meeting_location, 2022-04-13 05:22:21 normalization > cast(hs_body_preview_html as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_body_preview_html, 2022-04-13 05:22:21 normalization > cast(hs_engagement_source as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_engagement_source, 2022-04-13 05:22:21 normalization > cast(hs_meeting_change_id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_meeting_change_id, 2022-04-13 05:22:21 normalization > cast(hs_meeting_source_id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_meeting_source_id, 2022-04-13 05:22:21 normalization > cast(hs_merged_object_ids as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_merged_object_ids, 2022-04-13 05:22:21 normalization > cast(hs_attendee_owner_ids as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_attendee_owner_ids, 2022-04-13 05:22:21 normalization > cast(hs_created_by_user_id as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_created_by_user_id, 2022-04-13 05:22:21 normalization > cast(nullif(hs_meeting_start_time, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_meeting_start_time, 2022-04-13 05:22:21 normalization > cast(hs_updated_by_user_id as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_updated_by_user_id, 2022-04-13 05:22:21 normalization > cast(hs_unique_creation_key as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_unique_creation_key, 2022-04-13 05:22:21 normalization > cast(hs_engagement_source_id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_engagement_source_id, 2022-04-13 05:22:21 normalization > cast(hs_meeting_external_url as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_meeting_external_url, 2022-04-13 05:22:21 normalization > cast(hs_queue_membership_ids as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_queue_membership_ids, 2022-04-13 05:22:21 normalization > cast(hs_meeting_location_type as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_meeting_location_type, 2022-04-13 05:22:21 normalization > cast(hs_at_mentioned_owner_ids as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_at_mentioned_owner_ids, 2022-04-13 05:22:21 normalization > cast(hs_internal_meeting_notes as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_internal_meeting_notes, 2022-04-13 05:22:21 normalization > cast(hs_user_ids_of_all_owners as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_user_ids_of_all_owners, 2022-04-13 05:22:21 normalization > cast(hs_all_accessible_team_ids as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_all_accessible_team_ids, 2022-04-13 05:22:21 normalization > cast(nullif(hubspot_owner_assigneddate, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hubspot_owner_assigneddate, 2022-04-13 05:22:21 normalization > cast(hs_body_preview_is_truncated as boolean) as hs_body_preview_is_truncated, 2022-04-13 05:22:21 normalization > cast(hs_meeting_calendar_event_hash as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_meeting_calendar_event_hash, 2022-04-13 05:22:21 normalization > cast(hs_meeting_created_from_link_id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_meeting_created_from_link_id, 2022-04-13 05:22:21 normalization > cast(hs_all_assigned_business_unit_ids as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_all_assigned_business_unit_ids, 2022-04-13 05:22:21 normalization > cast(hs_meeting_web_conference_meeting_id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_meeting_web_conference_meeting_id, 2022-04-13 05:22:21 normalization > cast(hs_meeting_pre_meeting_prospect_reminders as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_meeting_pre_meeting_prospect_reminders, 2022-04-13 05:22:21 normalization > cast(hs_user_ids_of_all_notification_followers as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_user_ids_of_all_notification_followers, 2022-04-13 05:22:21 normalization > cast(hs_user_ids_of_all_notification_unfollowers as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_user_ids_of_all_notification_unfollowers, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:21 normalization > from __dbt__cte__engagements_meetings_properties_ab1 2022-04-13 05:22:21 normalization > -- properties at engagements_meetings/properties 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > ), __dbt__cte__engagements_meetings_properties_ab3 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to build a hash column based on the values of this record 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__engagements_meetings_properties_ab2 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > to_hex(md5(cast(concat(coalesce(cast(_airbyte_engagements_meetings_hashid as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_i_cal_uid as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_object_id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_timestamp as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_unique_id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_created_by as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_createdate as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_modified_by as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_all_team_ids as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_body_preview as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_gdpr_deleted as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_meeting_body as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_product_name as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hubspot_team_id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_activity_type as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_all_owner_ids as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_meeting_title as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hubspot_owner_id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_attachment_ids as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_meeting_source as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_meeting_outcome as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_scheduled_tasks as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_follow_up_action as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_lastmodifieddate as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_meeting_end_time as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_meeting_location as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_body_preview_html as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_engagement_source as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_meeting_change_id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_meeting_source_id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_merged_object_ids as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_attendee_owner_ids as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_created_by_user_id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_meeting_start_time as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_updated_by_user_id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_unique_creation_key as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_engagement_source_id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_meeting_external_url as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_queue_membership_ids as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_meeting_location_type as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_at_mentioned_owner_ids as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_internal_meeting_notes as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_user_ids_of_all_owners as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_all_accessible_team_ids as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hubspot_owner_assigneddate as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_body_preview_is_truncated as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_meeting_calendar_event_hash as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_meeting_created_from_link_id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_all_assigned_business_unit_ids as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_meeting_web_conference_meeting_id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_meeting_pre_meeting_prospect_reminders as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_user_ids_of_all_notification_followers as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_user_ids_of_all_notification_unfollowers as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), '')) as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ))) as _airbyte_properties_hashid, 2022-04-13 05:22:21 normalization > tmp.* 2022-04-13 05:22:21 normalization > from __dbt__cte__engagements_meetings_properties_ab2 tmp 2022-04-13 05:22:21 normalization > -- properties at engagements_meetings/properties 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > )-- Final base SQL model 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__engagements_meetings_properties_ab3 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > _airbyte_engagements_meetings_hashid, 2022-04-13 05:22:21 normalization > hs_i_cal_uid, 2022-04-13 05:22:21 normalization > hs_object_id, 2022-04-13 05:22:21 normalization > hs_timestamp, 2022-04-13 05:22:21 normalization > hs_unique_id, 2022-04-13 05:22:21 normalization > hs_created_by, 2022-04-13 05:22:21 normalization > hs_createdate, 2022-04-13 05:22:21 normalization > hs_modified_by, 2022-04-13 05:22:21 normalization > hs_all_team_ids, 2022-04-13 05:22:21 normalization > hs_body_preview, 2022-04-13 05:22:21 normalization > hs_gdpr_deleted, 2022-04-13 05:22:21 normalization > hs_meeting_body, 2022-04-13 05:22:21 normalization > hs_product_name, 2022-04-13 05:22:21 normalization > hubspot_team_id, 2022-04-13 05:22:21 normalization > hs_activity_type, 2022-04-13 05:22:21 normalization > hs_all_owner_ids, 2022-04-13 05:22:21 normalization > hs_meeting_title, 2022-04-13 05:22:21 normalization > hubspot_owner_id, 2022-04-13 05:22:21 normalization > hs_attachment_ids, 2022-04-13 05:22:21 normalization > hs_meeting_source, 2022-04-13 05:22:21 normalization > hs_meeting_outcome, 2022-04-13 05:22:21 normalization > hs_scheduled_tasks, 2022-04-13 05:22:21 normalization > hs_follow_up_action, 2022-04-13 05:22:21 normalization > hs_lastmodifieddate, 2022-04-13 05:22:21 normalization > hs_meeting_end_time, 2022-04-13 05:22:21 normalization > hs_meeting_location, 2022-04-13 05:22:21 normalization > hs_body_preview_html, 2022-04-13 05:22:21 normalization > hs_engagement_source, 2022-04-13 05:22:21 normalization > hs_meeting_change_id, 2022-04-13 05:22:21 normalization > hs_meeting_source_id, 2022-04-13 05:22:21 normalization > hs_merged_object_ids, 2022-04-13 05:22:21 normalization > hs_attendee_owner_ids, 2022-04-13 05:22:21 normalization > hs_created_by_user_id, 2022-04-13 05:22:21 normalization > hs_meeting_start_time, 2022-04-13 05:22:21 normalization > hs_updated_by_user_id, 2022-04-13 05:22:21 normalization > hs_unique_creation_key, 2022-04-13 05:22:21 normalization > hs_engagement_source_id, 2022-04-13 05:22:21 normalization > hs_meeting_external_url, 2022-04-13 05:22:21 normalization > hs_queue_membership_ids, 2022-04-13 05:22:21 normalization > hs_meeting_location_type, 2022-04-13 05:22:21 normalization > hs_at_mentioned_owner_ids, 2022-04-13 05:22:21 normalization > hs_internal_meeting_notes, 2022-04-13 05:22:21 normalization > hs_user_ids_of_all_owners, 2022-04-13 05:22:21 normalization > hs_all_accessible_team_ids, 2022-04-13 05:22:21 normalization > hubspot_owner_assigneddate, 2022-04-13 05:22:21 normalization > hs_body_preview_is_truncated, 2022-04-13 05:22:21 normalization > hs_meeting_calendar_event_hash, 2022-04-13 05:22:21 normalization > hs_meeting_created_from_link_id, 2022-04-13 05:22:21 normalization > hs_all_assigned_business_unit_ids, 2022-04-13 05:22:21 normalization > hs_meeting_web_conference_meeting_id, 2022-04-13 05:22:21 normalization > hs_meeting_pre_meeting_prospect_reminders, 2022-04-13 05:22:21 normalization > hs_user_ids_of_all_notification_followers, 2022-04-13 05:22:21 normalization > hs_user_ids_of_all_notification_unfollowers, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at, 2022-04-13 05:22:21 normalization > _airbyte_properties_hashid 2022-04-13 05:22:21 normalization > from __dbt__cte__engagements_meetings_properties_ab3 2022-04-13 05:22:21 normalization > -- properties at engagements_meetings/properties from `mansagroup-datascience`.hubspot_.`engagements_meetings` 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > and coalesce( 2022-04-13 05:22:21 normalization > cast(_airbyte_emitted_at as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) >= (select max(cast(_airbyte_emitted_at as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > )) from `mansagroup-datascience`.hubspot_.`engagements_meetings_properties`), 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > true) 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > ); 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 05:04:09.729885 [debug] [Thread-5 ]: 2022-04-13 05:22:21 normalization > In `mansagroup-datascience`.`hubspot_`.`subscription_changes_changes`: 2022-04-13 05:22:21 normalization > Schema changed: False 2022-04-13 05:22:21 normalization > Source columns not in target: [] 2022-04-13 05:22:21 normalization > Target columns not in source: [] 2022-04-13 05:22:21 normalization > New column types: [] 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 05:04:09.730963 [debug] [Thread-5 ]: Writing runtime SQL for node "model.airbyte_utils.subscription_changes_changes" 2022-04-13 05:22:21 normalization > 05:04:09.731353 [debug] [Thread-5 ]: On model.airbyte_utils.subscription_changes_changes: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.subscription_changes_changes"} */ 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > merge into `mansagroup-datascience`.hubspot_.`subscription_changes_changes` as DBT_INTERNAL_DEST 2022-04-13 05:22:21 normalization > using ( 2022-04-13 05:22:21 normalization > select * from `mansagroup-datascience`.hubspot_.`subscription_changes_changes__dbt_tmp` 2022-04-13 05:22:21 normalization > ) as DBT_INTERNAL_SOURCE 2022-04-13 05:22:21 normalization > on FALSE 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > when not matched then insert 2022-04-13 05:22:21 normalization > (`_airbyte_subscription_changes_hashid`, `change`, `source`, `portalId`, `timestamp`, `changeType`, `causedByEvent`, `subscriptionId`, `_airbyte_ab_id`, `_airbyte_emitted_at`, `_airbyte_normalized_at`, `_airbyte_changes_hashid`) 2022-04-13 05:22:21 normalization > values 2022-04-13 05:22:21 normalization > (`_airbyte_subscription_changes_hashid`, `change`, `source`, `portalId`, `timestamp`, `changeType`, `causedByEvent`, `subscriptionId`, `_airbyte_ab_id`, `_airbyte_emitted_at`, `_airbyte_normalized_at`, `_airbyte_changes_hashid`) 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 05:04:09.766487 [debug] [Thread-1 ]: 2022-04-13 05:22:21 normalization > In `mansagroup-datascience`.`hubspot_`.`quotes_properties`: 2022-04-13 05:22:21 normalization > Schema changed: False 2022-04-13 05:22:21 normalization > Source columns not in target: [] 2022-04-13 05:22:21 normalization > Target columns not in source: [] 2022-04-13 05:22:21 normalization > New column types: [] 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 05:04:09.768647 [debug] [Thread-1 ]: Writing runtime SQL for node "model.airbyte_utils.quotes_properties" 2022-04-13 05:22:21 normalization > 05:04:09.768998 [debug] [Thread-1 ]: On model.airbyte_utils.quotes_properties: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.quotes_properties"} */ 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > merge into `mansagroup-datascience`.hubspot_.`quotes_properties` as DBT_INTERNAL_DEST 2022-04-13 05:22:21 normalization > using ( 2022-04-13 05:22:21 normalization > select * from `mansagroup-datascience`.hubspot_.`quotes_properties__dbt_tmp` 2022-04-13 05:22:21 normalization > ) as DBT_INTERNAL_SOURCE 2022-04-13 05:22:21 normalization > on FALSE 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > when not matched then insert 2022-04-13 05:22:21 normalization > (`_airbyte_quotes_hashid`, `hs_slug`, `hs_terms`, `hs_title`, `hs_domain`, `hs_locale`, `hs_locked`, `hs_status`, `num_notes`, `hs_comments`, `hs_currency`, `hs_feedback`, `hs_language`, `hs_logo_url`, `hs_template`, `hs_timezone`, `hs_object_id`, `hs_test_mode`, `hs_createdate`, `hs_esign_date`, `hs_approver_id`, `hs_all_team_ids`, `hs_payment_date`, `hs_payment_type`, `hs_quote_amount`, `hs_quote_number`, `hs_sender_email`, `hs_sender_phone`, `hubspot_team_id`, `hs_all_owner_ids`, `hs_esign_enabled`, `hs_primary_color`, `hs_template_type`, `hubspot_owner_id`, `hs_payment_status`, `hs_public_url_key`, `hs_expiration_date`, `hs_payment_enabled`, `hs_sender_jobtitle`, `hs_sender_lastname`, `notes_last_updated`, `hs_lastmodifieddate`, `hs_sender_firstname`, `hs_sender_image_url`, `num_contacted_notes`, `hs_merged_object_ids`, `hs_pdf_download_link`, `notes_last_contacted`, `hs_created_by_user_id`, `hs_sender_company_zip`, `hs_show_signature_box`, `hs_updated_by_user_id`, `hs_sender_company_city`, `hs_sender_company_name`, `hs_unique_creation_key`, `hs_num_associated_deals`, `hs_sender_company_state`, `hs_sender_company_domain`, `notes_next_activity_date`, `hs_quote_total_preference`, `hs_sender_company_address`, `hs_sender_company_country`, `hs_user_ids_of_all_owners`, `hs_all_accessible_team_ids`, `hs_allowed_payment_methods`, `hs_collect_billing_address`, `hs_sender_company_address2`, `hubspot_owner_assigneddate`, `hs_collect_shipping_address`, `hs_expiration_template_path`, `hs_sales_email_last_replied`, `hs_sender_company_image_url`, `hs_show_countersignature_box`, `hs_esign_num_signers_required`, `hs_esign_num_signers_completed`, `hs_all_assigned_business_unit_ids`, `hs_user_ids_of_all_notification_followers`, `hs_user_ids_of_all_notification_unfollowers`, `hs_line_item_global_term_hs_discount_percentage`, `hs_line_item_global_term_recurringbillingfrequency`, `hs_line_item_global_term_hs_recurring_billing_period`, `hs_line_item_global_term_hs_discount_percentage_enabled`, `hs_line_item_global_term_hs_recurring_billing_start_date`, `hs_line_item_global_term_recurringbillingfrequency_enabled`, `hs_line_item_global_term_hs_recurring_billing_period_enabled`, `hs_line_item_global_term_hs_recurring_billing_start_date_enabled`, `_airbyte_ab_id`, `_airbyte_emitted_at`, `_airbyte_normalized_at`, `_airbyte_properties_hashid`) 2022-04-13 05:22:21 normalization > values 2022-04-13 05:22:21 normalization > (`_airbyte_quotes_hashid`, `hs_slug`, `hs_terms`, `hs_title`, `hs_domain`, `hs_locale`, `hs_locked`, `hs_status`, `num_notes`, `hs_comments`, `hs_currency`, `hs_feedback`, `hs_language`, `hs_logo_url`, `hs_template`, `hs_timezone`, `hs_object_id`, `hs_test_mode`, `hs_createdate`, `hs_esign_date`, `hs_approver_id`, `hs_all_team_ids`, `hs_payment_date`, `hs_payment_type`, `hs_quote_amount`, `hs_quote_number`, `hs_sender_email`, `hs_sender_phone`, `hubspot_team_id`, `hs_all_owner_ids`, `hs_esign_enabled`, `hs_primary_color`, `hs_template_type`, `hubspot_owner_id`, `hs_payment_status`, `hs_public_url_key`, `hs_expiration_date`, `hs_payment_enabled`, `hs_sender_jobtitle`, `hs_sender_lastname`, `notes_last_updated`, `hs_lastmodifieddate`, `hs_sender_firstname`, `hs_sender_image_url`, `num_contacted_notes`, `hs_merged_object_ids`, `hs_pdf_download_link`, `notes_last_contacted`, `hs_created_by_user_id`, `hs_sender_company_zip`, `hs_show_signature_box`, `hs_updated_by_user_id`, `hs_sender_company_city`, `hs_sender_company_name`, `hs_unique_creation_key`, `hs_num_associated_deals`, `hs_sender_company_state`, `hs_sender_company_domain`, `notes_next_activity_date`, `hs_quote_total_preference`, `hs_sender_company_address`, `hs_sender_company_country`, `hs_user_ids_of_all_owners`, `hs_all_accessible_team_ids`, `hs_allowed_payment_methods`, `hs_collect_billing_address`, `hs_sender_company_address2`, `hubspot_owner_assigneddate`, `hs_collect_shipping_address`, `hs_expiration_template_path`, `hs_sales_email_last_replied`, `hs_sender_company_image_url`, `hs_show_countersignature_box`, `hs_esign_num_signers_required`, `hs_esign_num_signers_completed`, `hs_all_assigned_business_unit_ids`, `hs_user_ids_of_all_notification_followers`, `hs_user_ids_of_all_notification_unfollowers`, `hs_line_item_global_term_hs_discount_percentage`, `hs_line_item_global_term_recurringbillingfrequency`, `hs_line_item_global_term_hs_recurring_billing_period`, `hs_line_item_global_term_hs_discount_percentage_enabled`, `hs_line_item_global_term_hs_recurring_billing_start_date`, `hs_line_item_global_term_recurringbillingfrequency_enabled`, `hs_line_item_global_term_hs_recurring_billing_period_enabled`, `hs_line_item_global_term_hs_recurring_billing_start_date_enabled`, `_airbyte_ab_id`, `_airbyte_emitted_at`, `_airbyte_normalized_at`, `_airbyte_properties_hashid`) 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 05:04:09.885164 [debug] [Thread-6 ]: 2022-04-13 05:22:21 normalization > In `mansagroup-datascience`.`hubspot_`.`email_events`: 2022-04-13 05:22:21 normalization > Schema changed: False 2022-04-13 05:22:21 normalization > Source columns not in target: [] 2022-04-13 05:22:21 normalization > Target columns not in source: [] 2022-04-13 05:22:21 normalization > New column types: [] 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 05:04:09.886776 [debug] [Thread-6 ]: Writing runtime SQL for node "model.airbyte_utils.email_events" 2022-04-13 05:22:21 normalization > 05:04:09.887109 [debug] [Thread-6 ]: On model.airbyte_utils.email_events: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.email_events"} */ 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > merge into `mansagroup-datascience`.hubspot_.`email_events` as DBT_INTERNAL_DEST 2022-04-13 05:22:21 normalization > using ( 2022-04-13 05:22:21 normalization > select * from `mansagroup-datascience`.hubspot_.`email_events__dbt_tmp` 2022-04-13 05:22:21 normalization > ) as DBT_INTERNAL_SOURCE 2022-04-13 05:22:21 normalization > on 2022-04-13 05:22:21 normalization > DBT_INTERNAL_SOURCE._airbyte_ab_id = DBT_INTERNAL_DEST._airbyte_ab_id 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > when matched then update set 2022-04-13 05:22:21 normalization > `id` = DBT_INTERNAL_SOURCE.`id`,`url` = DBT_INTERNAL_SOURCE.`url`,`from` = DBT_INTERNAL_SOURCE.`from`,`hmid` = DBT_INTERNAL_SOURCE.`hmid`,`type` = DBT_INTERNAL_SOURCE.`type`,`appId` = DBT_INTERNAL_SOURCE.`appId`,`linkId` = DBT_INTERNAL_SOURCE.`linkId`,`sentBy` = DBT_INTERNAL_SOURCE.`sentBy`,`smtpId` = DBT_INTERNAL_SOURCE.`smtpId`,`source` = DBT_INTERNAL_SOURCE.`source`,`status` = DBT_INTERNAL_SOURCE.`status`,`appName` = DBT_INTERNAL_SOURCE.`appName`,`attempt` = DBT_INTERNAL_SOURCE.`attempt`,`bounced` = DBT_INTERNAL_SOURCE.`bounced`,`browser` = DBT_INTERNAL_SOURCE.`browser`,`created` = DBT_INTERNAL_SOURCE.`created`,`referer` = DBT_INTERNAL_SOURCE.`referer`,`replyTo` = DBT_INTERNAL_SOURCE.`replyTo`,`subject` = DBT_INTERNAL_SOURCE.`subject`,`category` = DBT_INTERNAL_SOURCE.`category`,`causedBy` = DBT_INTERNAL_SOURCE.`causedBy`,`duration` = DBT_INTERNAL_SOURCE.`duration`,`location` = DBT_INTERNAL_SOURCE.`location`,`portalId` = DBT_INTERNAL_SOURCE.`portalId`,`response` = DBT_INTERNAL_SOURCE.`response`,`sourceId` = DBT_INTERNAL_SOURCE.`sourceId`,`ipAddress` = DBT_INTERNAL_SOURCE.`ipAddress`,`recipient` = DBT_INTERNAL_SOURCE.`recipient`,`userAgent` = DBT_INTERNAL_SOURCE.`userAgent`,`deviceType` = DBT_INTERNAL_SOURCE.`deviceType`,`dropReason` = DBT_INTERNAL_SOURCE.`dropReason`,`dropMessage` = DBT_INTERNAL_SOURCE.`dropMessage`,`obsoletedBy` = DBT_INTERNAL_SOURCE.`obsoletedBy`,`requestedBy` = DBT_INTERNAL_SOURCE.`requestedBy`,`filteredEvent` = DBT_INTERNAL_SOURCE.`filteredEvent`,`emailCampaignId` = DBT_INTERNAL_SOURCE.`emailCampaignId`,`requestedByUserId` = DBT_INTERNAL_SOURCE.`requestedByUserId`,`emailCampaignGroupId` = DBT_INTERNAL_SOURCE.`emailCampaignGroupId`,`portalSubscriptionStatus` = DBT_INTERNAL_SOURCE.`portalSubscriptionStatus`,`_airbyte_ab_id` = DBT_INTERNAL_SOURCE.`_airbyte_ab_id`,`_airbyte_emitted_at` = DBT_INTERNAL_SOURCE.`_airbyte_emitted_at`,`_airbyte_normalized_at` = DBT_INTERNAL_SOURCE.`_airbyte_normalized_at`,`_airbyte_email_events_hashid` = DBT_INTERNAL_SOURCE.`_airbyte_email_events_hashid` 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > when not matched then insert 2022-04-13 05:22:21 normalization > (`id`, `url`, `from`, `hmid`, `type`, `appId`, `linkId`, `sentBy`, `smtpId`, `source`, `status`, `appName`, `attempt`, `bounced`, `browser`, `created`, `referer`, `replyTo`, `subject`, `category`, `causedBy`, `duration`, `location`, `portalId`, `response`, `sourceId`, `ipAddress`, `recipient`, `userAgent`, `deviceType`, `dropReason`, `dropMessage`, `obsoletedBy`, `requestedBy`, `filteredEvent`, `emailCampaignId`, `requestedByUserId`, `emailCampaignGroupId`, `portalSubscriptionStatus`, `_airbyte_ab_id`, `_airbyte_emitted_at`, `_airbyte_normalized_at`, `_airbyte_email_events_hashid`) 2022-04-13 05:22:21 normalization > values 2022-04-13 05:22:21 normalization > (`id`, `url`, `from`, `hmid`, `type`, `appId`, `linkId`, `sentBy`, `smtpId`, `source`, `status`, `appName`, `attempt`, `bounced`, `browser`, `created`, `referer`, `replyTo`, `subject`, `category`, `causedBy`, `duration`, `location`, `portalId`, `response`, `sourceId`, `ipAddress`, `recipient`, `userAgent`, `deviceType`, `dropReason`, `dropMessage`, `obsoletedBy`, `requestedBy`, `filteredEvent`, `emailCampaignId`, `requestedByUserId`, `emailCampaignGroupId`, `portalSubscriptionStatus`, `_airbyte_ab_id`, `_airbyte_emitted_at`, `_airbyte_normalized_at`, `_airbyte_email_events_hashid`) 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 05:04:11.624833 [debug] [Thread-5 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:04:11.625526 [info ] [Thread-5 ]: 42 of 77 OK created incremental model hubspot_.subscription_changes_changes............................................. [MERGE (1.9k rows, 489.6 KB processed) in 4.49s] 2022-04-13 05:22:21 normalization > 05:04:11.625966 [debug] [Thread-5 ]: Finished running node model.airbyte_utils.subscription_changes_changes 2022-04-13 05:22:21 normalization > 05:04:11.626235 [debug] [Thread-5 ]: Began running node model.airbyte_utils.deals_dealstage 2022-04-13 05:22:21 normalization > 05:04:11.626911 [info ] [Thread-5 ]: 45 of 77 START incremental model hubspot_.deals_dealstage............................................................... [RUN] 2022-04-13 05:22:21 normalization > 05:04:11.627498 [debug] [Thread-5 ]: Acquiring new bigquery connection "model.airbyte_utils.deals_dealstage" 2022-04-13 05:22:21 normalization > 05:04:11.627684 [debug] [Thread-5 ]: Began compiling node model.airbyte_utils.deals_dealstage 2022-04-13 05:22:21 normalization > 05:04:11.627878 [debug] [Thread-5 ]: Compiling model.airbyte_utils.deals_dealstage 2022-04-13 05:22:21 normalization > 05:04:11.637190 [debug] [Thread-5 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:04:11.744781 [debug] [Thread-5 ]: Writing injected SQL for node "model.airbyte_utils.deals_dealstage" 2022-04-13 05:22:21 normalization > 05:04:11.745167 [debug] [Thread-5 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:04:11.745405 [debug] [Thread-5 ]: Began executing node model.airbyte_utils.deals_dealstage 2022-04-13 05:22:21 normalization > 05:04:11.812904 [debug] [Thread-5 ]: On model.airbyte_utils.deals_dealstage: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.deals_dealstage"} */ 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > create or replace table `mansagroup-datascience`.hubspot_.`deals_dealstage__dbt_tmp` 2022-04-13 05:22:21 normalization > partition by timestamp_trunc(_airbyte_emitted_at, day) 2022-04-13 05:22:21 normalization > cluster by _airbyte_emitted_at 2022-04-13 05:22:21 normalization > OPTIONS( 2022-04-13 05:22:21 normalization > expiration_timestamp=TIMESTAMP_ADD(CURRENT_TIMESTAMP(), INTERVAL 12 hour) 2022-04-13 05:22:21 normalization > ) 2022-04-13 05:22:21 normalization > as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > with __dbt__cte__deals_dealstage_ab1 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema 2022-04-13 05:22:21 normalization > -- depends_on: `mansagroup-datascience`.hubspot_.`deals` 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > _airbyte_deals_hashid, 2022-04-13 05:22:21 normalization > json_extract_scalar(dealstage, "$['value']") as value, 2022-04-13 05:22:21 normalization > json_extract_array(dealstage, "$['versions']") as versions, 2022-04-13 05:22:21 normalization > json_extract_scalar(dealstage, "$['timestamp']") as timestamp, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:21 normalization > from `mansagroup-datascience`.hubspot_.`deals` as table_alias 2022-04-13 05:22:21 normalization > -- dealstage at deals/dealstage 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > and dealstage is not null 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > ), __dbt__cte__deals_dealstage_ab2 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__deals_dealstage_ab1 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > _airbyte_deals_hashid, 2022-04-13 05:22:21 normalization > cast(value as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as value, 2022-04-13 05:22:21 normalization > versions, 2022-04-13 05:22:21 normalization > cast(timestamp as 2022-04-13 05:22:21 normalization > int64 2022-04-13 05:22:21 normalization > ) as timestamp, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:21 normalization > from __dbt__cte__deals_dealstage_ab1 2022-04-13 05:22:21 normalization > -- dealstage at deals/dealstage 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > ), __dbt__cte__deals_dealstage_ab3 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to build a hash column based on the values of this record 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__deals_dealstage_ab2 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > to_hex(md5(cast(concat(coalesce(cast(_airbyte_deals_hashid as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(value as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(array_to_string(versions, "|", "") as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(timestamp as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), '')) as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ))) as _airbyte_dealstage_hashid, 2022-04-13 05:22:21 normalization > tmp.* 2022-04-13 05:22:21 normalization > from __dbt__cte__deals_dealstage_ab2 tmp 2022-04-13 05:22:21 normalization > -- dealstage at deals/dealstage 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > )-- Final base SQL model 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__deals_dealstage_ab3 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > _airbyte_deals_hashid, 2022-04-13 05:22:21 normalization > value, 2022-04-13 05:22:21 normalization > versions, 2022-04-13 05:22:21 normalization > timestamp, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at, 2022-04-13 05:22:21 normalization > _airbyte_dealstage_hashid 2022-04-13 05:22:21 normalization > from __dbt__cte__deals_dealstage_ab3 2022-04-13 05:22:21 normalization > -- dealstage at deals/dealstage from `mansagroup-datascience`.hubspot_.`deals` 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > and coalesce( 2022-04-13 05:22:21 normalization > cast(_airbyte_emitted_at as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) >= (select max(cast(_airbyte_emitted_at as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > )) from `mansagroup-datascience`.hubspot_.`deals_dealstage`), 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > true) 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > ); 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 05:04:11.975332 [debug] [Thread-1 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:04:11.975964 [info ] [Thread-1 ]: 43 of 77 OK created incremental model hubspot_.quotes_properties........................................................ [MERGE (0.0 rows, 0 processed) in 4.82s] 2022-04-13 05:22:21 normalization > 05:04:11.976431 [debug] [Thread-1 ]: Finished running node model.airbyte_utils.quotes_properties 2022-04-13 05:22:21 normalization > 05:04:11.976638 [debug] [Thread-1 ]: Began running node model.airbyte_utils.deal_pipelines_stages_metadata_ab1 2022-04-13 05:22:21 normalization > 05:04:11.977176 [debug] [Thread-1 ]: Acquiring new bigquery connection "model.airbyte_utils.deal_pipelines_stages_metadata_ab1" 2022-04-13 05:22:21 normalization > 05:04:11.977387 [debug] [Thread-1 ]: Began compiling node model.airbyte_utils.deal_pipelines_stages_metadata_ab1 2022-04-13 05:22:21 normalization > 05:04:11.977548 [debug] [Thread-1 ]: Compiling model.airbyte_utils.deal_pipelines_stages_metadata_ab1 2022-04-13 05:22:21 normalization > 05:04:11.983722 [debug] [Thread-1 ]: Writing injected SQL for node "model.airbyte_utils.deal_pipelines_stages_metadata_ab1" 2022-04-13 05:22:21 normalization > 05:04:11.984056 [debug] [Thread-1 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:04:11.984454 [debug] [Thread-1 ]: Finished running node model.airbyte_utils.deal_pipelines_stages_metadata_ab1 2022-04-13 05:22:21 normalization > 05:04:11.984670 [debug] [Thread-1 ]: Began running node model.airbyte_utils.line_items_properties 2022-04-13 05:22:21 normalization > 05:04:11.985159 [info ] [Thread-1 ]: 46 of 77 START incremental model hubspot_.line_items_properties......................................................... [RUN] 2022-04-13 05:22:21 normalization > 05:04:11.985675 [debug] [Thread-1 ]: Acquiring new bigquery connection "model.airbyte_utils.line_items_properties" 2022-04-13 05:22:21 normalization > 05:04:11.985842 [debug] [Thread-1 ]: Began compiling node model.airbyte_utils.line_items_properties 2022-04-13 05:22:21 normalization > 05:04:11.985991 [debug] [Thread-1 ]: Compiling model.airbyte_utils.line_items_properties 2022-04-13 05:22:21 normalization > 05:04:11.993119 [debug] [Thread-1 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:04:12.109560 [debug] [Thread-1 ]: Writing injected SQL for node "model.airbyte_utils.line_items_properties" 2022-04-13 05:22:21 normalization > 05:04:12.109927 [debug] [Thread-1 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:04:12.110106 [debug] [Thread-1 ]: Began executing node model.airbyte_utils.line_items_properties 2022-04-13 05:22:21 normalization > 05:04:12.169773 [debug] [Thread-1 ]: On model.airbyte_utils.line_items_properties: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.line_items_properties"} */ 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > create or replace table `mansagroup-datascience`.hubspot_.`line_items_properties__dbt_tmp` 2022-04-13 05:22:21 normalization > partition by timestamp_trunc(_airbyte_emitted_at, day) 2022-04-13 05:22:21 normalization > cluster by _airbyte_emitted_at 2022-04-13 05:22:21 normalization > OPTIONS( 2022-04-13 05:22:21 normalization > expiration_timestamp=TIMESTAMP_ADD(CURRENT_TIMESTAMP(), INTERVAL 12 hour) 2022-04-13 05:22:21 normalization > ) 2022-04-13 05:22:21 normalization > as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > with __dbt__cte__line_items_properties_ab1 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema 2022-04-13 05:22:21 normalization > -- depends_on: `mansagroup-datascience`.hubspot_.`line_items` 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > _airbyte_line_items_hashid, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['tax']") as tax, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['name']") as name, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['price']") as price, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['amount']") as amount, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_acv']") as hs_acv, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_arr']") as hs_arr, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_mrr']") as hs_mrr, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_sku']") as hs_sku, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_tcv']") as hs_tcv, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_url']") as hs_url, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['discount']") as discount, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['quantity']") as quantity, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_images']") as hs_images, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_margin']") as hs_margin, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['createdate']") as createdate, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['description']") as description, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_object_id']") as hs_object_id, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_createdate']") as hs_createdate, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_margin_acv']") as hs_margin_acv, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_margin_arr']") as hs_margin_arr, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_margin_mrr']") as hs_margin_mrr, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_margin_tcv']") as hs_margin_tcv, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_product_id']") as hs_product_id, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_variant_id']") as hs_variant_id, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_external_id']") as hs_external_id, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_sync_amount']") as hs_sync_amount, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_term_in_months']") as hs_term_in_months, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_total_discount']") as hs_total_discount, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_lastmodifieddate']") as hs_lastmodifieddate, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_merged_object_ids']") as hs_merged_object_ids, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_position_on_quote']") as hs_position_on_quote, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_cost_of_goods_sold']") as hs_cost_of_goods_sold, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_created_by_user_id']") as hs_created_by_user_id, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_updated_by_user_id']") as hs_updated_by_user_id, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_discount_percentage']") as hs_discount_percentage, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_pre_discount_amount']") as hs_pre_discount_amount, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_unique_creation_key']") as hs_unique_creation_key, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_user_ids_of_all_owners']") as hs_user_ids_of_all_owners, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['recurringbillingfrequency']") as recurringbillingfrequency, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_all_accessible_team_ids']") as hs_all_accessible_team_ids, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_line_item_currency_code']") as hs_line_item_currency_code, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_recurring_billing_period']") as hs_recurring_billing_period, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_recurring_billing_end_date']") as hs_recurring_billing_end_date, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_recurring_billing_start_date']") as hs_recurring_billing_start_date, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_all_assigned_business_unit_ids']") as hs_all_assigned_business_unit_ids, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_user_ids_of_all_notification_followers']") as hs_user_ids_of_all_notification_followers, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_user_ids_of_all_notification_unfollowers']") as hs_user_ids_of_all_notification_unfollowers, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:21 normalization > from `mansagroup-datascience`.hubspot_.`line_items` as table_alias 2022-04-13 05:22:21 normalization > -- properties at line_items/properties 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > and properties is not null 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > ), __dbt__cte__line_items_properties_ab2 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__line_items_properties_ab1 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > _airbyte_line_items_hashid, 2022-04-13 05:22:21 normalization > cast(tax as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as tax, 2022-04-13 05:22:21 normalization > cast(name as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as name, 2022-04-13 05:22:21 normalization > cast(price as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as price, 2022-04-13 05:22:21 normalization > cast(amount as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as amount, 2022-04-13 05:22:21 normalization > cast(hs_acv as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_acv, 2022-04-13 05:22:21 normalization > cast(hs_arr as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_arr, 2022-04-13 05:22:21 normalization > cast(hs_mrr as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_mrr, 2022-04-13 05:22:21 normalization > cast(hs_sku as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_sku, 2022-04-13 05:22:21 normalization > cast(hs_tcv as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_tcv, 2022-04-13 05:22:21 normalization > cast(hs_url as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_url, 2022-04-13 05:22:21 normalization > cast(discount as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as discount, 2022-04-13 05:22:21 normalization > cast(quantity as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as quantity, 2022-04-13 05:22:21 normalization > cast(hs_images as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_images, 2022-04-13 05:22:21 normalization > cast(hs_margin as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_margin, 2022-04-13 05:22:21 normalization > cast(nullif(createdate, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as createdate, 2022-04-13 05:22:21 normalization > cast(description as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as description, 2022-04-13 05:22:21 normalization > cast(hs_object_id as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_object_id, 2022-04-13 05:22:21 normalization > cast(nullif(hs_createdate, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_createdate, 2022-04-13 05:22:21 normalization > cast(hs_margin_acv as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_margin_acv, 2022-04-13 05:22:21 normalization > cast(hs_margin_arr as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_margin_arr, 2022-04-13 05:22:21 normalization > cast(hs_margin_mrr as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_margin_mrr, 2022-04-13 05:22:21 normalization > cast(hs_margin_tcv as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_margin_tcv, 2022-04-13 05:22:21 normalization > cast(hs_product_id as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_product_id, 2022-04-13 05:22:21 normalization > cast(hs_variant_id as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_variant_id, 2022-04-13 05:22:21 normalization > cast(hs_external_id as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_external_id, 2022-04-13 05:22:21 normalization > cast(hs_sync_amount as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_sync_amount, 2022-04-13 05:22:21 normalization > cast(hs_term_in_months as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_term_in_months, 2022-04-13 05:22:21 normalization > cast(hs_total_discount as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_total_discount, 2022-04-13 05:22:21 normalization > cast(nullif(hs_lastmodifieddate, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_lastmodifieddate, 2022-04-13 05:22:21 normalization > cast(hs_merged_object_ids as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_merged_object_ids, 2022-04-13 05:22:21 normalization > cast(hs_position_on_quote as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_position_on_quote, 2022-04-13 05:22:21 normalization > cast(hs_cost_of_goods_sold as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_cost_of_goods_sold, 2022-04-13 05:22:21 normalization > cast(hs_created_by_user_id as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_created_by_user_id, 2022-04-13 05:22:21 normalization > cast(hs_updated_by_user_id as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_updated_by_user_id, 2022-04-13 05:22:21 normalization > cast(hs_discount_percentage as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_discount_percentage, 2022-04-13 05:22:21 normalization > cast(hs_pre_discount_amount as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_pre_discount_amount, 2022-04-13 05:22:21 normalization > cast(hs_unique_creation_key as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_unique_creation_key, 2022-04-13 05:22:21 normalization > cast(hs_user_ids_of_all_owners as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_user_ids_of_all_owners, 2022-04-13 05:22:21 normalization > cast(recurringbillingfrequency as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as recurringbillingfrequency, 2022-04-13 05:22:21 normalization > cast(hs_all_accessible_team_ids as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_all_accessible_team_ids, 2022-04-13 05:22:21 normalization > cast(hs_line_item_currency_code as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_line_item_currency_code, 2022-04-13 05:22:21 normalization > cast(hs_recurring_billing_period as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_recurring_billing_period, 2022-04-13 05:22:21 normalization > cast(nullif(hs_recurring_billing_end_date, '') as 2022-04-13 05:22:21 normalization > date 2022-04-13 05:22:21 normalization > ) as hs_recurring_billing_end_date, 2022-04-13 05:22:21 normalization > cast(nullif(hs_recurring_billing_start_date, '') as 2022-04-13 05:22:21 normalization > date 2022-04-13 05:22:21 normalization > ) as hs_recurring_billing_start_date, 2022-04-13 05:22:21 normalization > cast(hs_all_assigned_business_unit_ids as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_all_assigned_business_unit_ids, 2022-04-13 05:22:21 normalization > cast(hs_user_ids_of_all_notification_followers as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_user_ids_of_all_notification_followers, 2022-04-13 05:22:21 normalization > cast(hs_user_ids_of_all_notification_unfollowers as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_user_ids_of_all_notification_unfollowers, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:21 normalization > from __dbt__cte__line_items_properties_ab1 2022-04-13 05:22:21 normalization > -- properties at line_items/properties 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > ), __dbt__cte__line_items_properties_ab3 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to build a hash column based on the values of this record 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__line_items_properties_ab2 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > to_hex(md5(cast(concat(coalesce(cast(_airbyte_line_items_hashid as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(tax as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(name as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(price as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(amount as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_acv as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_arr as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_mrr as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_sku as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_tcv as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_url as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(discount as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(quantity as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_images as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_margin as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(createdate as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(description as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_object_id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_createdate as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_margin_acv as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_margin_arr as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_margin_mrr as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_margin_tcv as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_product_id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_variant_id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_external_id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_sync_amount as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_term_in_months as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_total_discount as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_lastmodifieddate as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_merged_object_ids as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_position_on_quote as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_cost_of_goods_sold as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_created_by_user_id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_updated_by_user_id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_discount_percentage as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_pre_discount_amount as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_unique_creation_key as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_user_ids_of_all_owners as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(recurringbillingfrequency as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_all_accessible_team_ids as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_line_item_currency_code as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_recurring_billing_period as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_recurring_billing_end_date as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_recurring_billing_start_date as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_all_assigned_business_unit_ids as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_user_ids_of_all_notification_followers as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_user_ids_of_all_notification_unfollowers as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), '')) as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ))) as _airbyte_properties_hashid, 2022-04-13 05:22:21 normalization > tmp.* 2022-04-13 05:22:21 normalization > from __dbt__cte__line_items_properties_ab2 tmp 2022-04-13 05:22:21 normalization > -- properties at line_items/properties 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > )-- Final base SQL model 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__line_items_properties_ab3 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > _airbyte_line_items_hashid, 2022-04-13 05:22:21 normalization > tax, 2022-04-13 05:22:21 normalization > name, 2022-04-13 05:22:21 normalization > price, 2022-04-13 05:22:21 normalization > amount, 2022-04-13 05:22:21 normalization > hs_acv, 2022-04-13 05:22:21 normalization > hs_arr, 2022-04-13 05:22:21 normalization > hs_mrr, 2022-04-13 05:22:21 normalization > hs_sku, 2022-04-13 05:22:21 normalization > hs_tcv, 2022-04-13 05:22:21 normalization > hs_url, 2022-04-13 05:22:21 normalization > discount, 2022-04-13 05:22:21 normalization > quantity, 2022-04-13 05:22:21 normalization > hs_images, 2022-04-13 05:22:21 normalization > hs_margin, 2022-04-13 05:22:21 normalization > createdate, 2022-04-13 05:22:21 normalization > description, 2022-04-13 05:22:21 normalization > hs_object_id, 2022-04-13 05:22:21 normalization > hs_createdate, 2022-04-13 05:22:21 normalization > hs_margin_acv, 2022-04-13 05:22:21 normalization > hs_margin_arr, 2022-04-13 05:22:21 normalization > hs_margin_mrr, 2022-04-13 05:22:21 normalization > hs_margin_tcv, 2022-04-13 05:22:21 normalization > hs_product_id, 2022-04-13 05:22:21 normalization > hs_variant_id, 2022-04-13 05:22:21 normalization > hs_external_id, 2022-04-13 05:22:21 normalization > hs_sync_amount, 2022-04-13 05:22:21 normalization > hs_term_in_months, 2022-04-13 05:22:21 normalization > hs_total_discount, 2022-04-13 05:22:21 normalization > hs_lastmodifieddate, 2022-04-13 05:22:21 normalization > hs_merged_object_ids, 2022-04-13 05:22:21 normalization > hs_position_on_quote, 2022-04-13 05:22:21 normalization > hs_cost_of_goods_sold, 2022-04-13 05:22:21 normalization > hs_created_by_user_id, 2022-04-13 05:22:21 normalization > hs_updated_by_user_id, 2022-04-13 05:22:21 normalization > hs_discount_percentage, 2022-04-13 05:22:21 normalization > hs_pre_discount_amount, 2022-04-13 05:22:21 normalization > hs_unique_creation_key, 2022-04-13 05:22:21 normalization > hs_user_ids_of_all_owners, 2022-04-13 05:22:21 normalization > recurringbillingfrequency, 2022-04-13 05:22:21 normalization > hs_all_accessible_team_ids, 2022-04-13 05:22:21 normalization > hs_line_item_currency_code, 2022-04-13 05:22:21 normalization > hs_recurring_billing_period, 2022-04-13 05:22:21 normalization > hs_recurring_billing_end_date, 2022-04-13 05:22:21 normalization > hs_recurring_billing_start_date, 2022-04-13 05:22:21 normalization > hs_all_assigned_business_unit_ids, 2022-04-13 05:22:21 normalization > hs_user_ids_of_all_notification_followers, 2022-04-13 05:22:21 normalization > hs_user_ids_of_all_notification_unfollowers, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at, 2022-04-13 05:22:21 normalization > _airbyte_properties_hashid 2022-04-13 05:22:21 normalization > from __dbt__cte__line_items_properties_ab3 2022-04-13 05:22:21 normalization > -- properties at line_items/properties from `mansagroup-datascience`.hubspot_.`line_items` 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > and coalesce( 2022-04-13 05:22:21 normalization > cast(_airbyte_emitted_at as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) >= (select max(cast(_airbyte_emitted_at as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > )) from `mansagroup-datascience`.hubspot_.`line_items_properties`), 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > true) 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > ); 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 05:04:13.813223 [debug] [Thread-5 ]: 2022-04-13 05:22:21 normalization > In `mansagroup-datascience`.`hubspot_`.`deals_dealstage`: 2022-04-13 05:22:21 normalization > Schema changed: False 2022-04-13 05:22:21 normalization > Source columns not in target: [] 2022-04-13 05:22:21 normalization > Target columns not in source: [] 2022-04-13 05:22:21 normalization > New column types: [] 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 05:04:13.814882 [debug] [Thread-5 ]: Writing runtime SQL for node "model.airbyte_utils.deals_dealstage" 2022-04-13 05:22:21 normalization > 05:04:13.815321 [debug] [Thread-5 ]: On model.airbyte_utils.deals_dealstage: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.deals_dealstage"} */ 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > merge into `mansagroup-datascience`.hubspot_.`deals_dealstage` as DBT_INTERNAL_DEST 2022-04-13 05:22:21 normalization > using ( 2022-04-13 05:22:21 normalization > select * from `mansagroup-datascience`.hubspot_.`deals_dealstage__dbt_tmp` 2022-04-13 05:22:21 normalization > ) as DBT_INTERNAL_SOURCE 2022-04-13 05:22:21 normalization > on FALSE 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > when not matched then insert 2022-04-13 05:22:21 normalization > (`_airbyte_deals_hashid`, `value`, `versions`, `timestamp`, `_airbyte_ab_id`, `_airbyte_emitted_at`, `_airbyte_normalized_at`, `_airbyte_dealstage_hashid`) 2022-04-13 05:22:21 normalization > values 2022-04-13 05:22:21 normalization > (`_airbyte_deals_hashid`, `value`, `versions`, `timestamp`, `_airbyte_ab_id`, `_airbyte_emitted_at`, `_airbyte_normalized_at`, `_airbyte_dealstage_hashid`) 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 05:04:14.479415 [debug] [Thread-1 ]: 2022-04-13 05:22:21 normalization > In `mansagroup-datascience`.`hubspot_`.`line_items_properties`: 2022-04-13 05:22:21 normalization > Schema changed: False 2022-04-13 05:22:21 normalization > Source columns not in target: [] 2022-04-13 05:22:21 normalization > Target columns not in source: [] 2022-04-13 05:22:21 normalization > New column types: [] 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 05:04:14.481109 [debug] [Thread-1 ]: Writing runtime SQL for node "model.airbyte_utils.line_items_properties" 2022-04-13 05:22:21 normalization > 05:04:14.481520 [debug] [Thread-1 ]: On model.airbyte_utils.line_items_properties: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.line_items_properties"} */ 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > merge into `mansagroup-datascience`.hubspot_.`line_items_properties` as DBT_INTERNAL_DEST 2022-04-13 05:22:21 normalization > using ( 2022-04-13 05:22:21 normalization > select * from `mansagroup-datascience`.hubspot_.`line_items_properties__dbt_tmp` 2022-04-13 05:22:21 normalization > ) as DBT_INTERNAL_SOURCE 2022-04-13 05:22:21 normalization > on FALSE 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > when not matched then insert 2022-04-13 05:22:21 normalization > (`_airbyte_line_items_hashid`, `tax`, `name`, `price`, `amount`, `hs_acv`, `hs_arr`, `hs_mrr`, `hs_sku`, `hs_tcv`, `hs_url`, `discount`, `quantity`, `hs_images`, `hs_margin`, `createdate`, `description`, `hs_object_id`, `hs_createdate`, `hs_margin_acv`, `hs_margin_arr`, `hs_margin_mrr`, `hs_margin_tcv`, `hs_product_id`, `hs_variant_id`, `hs_external_id`, `hs_sync_amount`, `hs_term_in_months`, `hs_total_discount`, `hs_lastmodifieddate`, `hs_merged_object_ids`, `hs_position_on_quote`, `hs_cost_of_goods_sold`, `hs_created_by_user_id`, `hs_updated_by_user_id`, `hs_discount_percentage`, `hs_pre_discount_amount`, `hs_unique_creation_key`, `hs_user_ids_of_all_owners`, `recurringbillingfrequency`, `hs_all_accessible_team_ids`, `hs_line_item_currency_code`, `hs_recurring_billing_period`, `hs_recurring_billing_end_date`, `hs_recurring_billing_start_date`, `hs_all_assigned_business_unit_ids`, `hs_user_ids_of_all_notification_followers`, `hs_user_ids_of_all_notification_unfollowers`, `_airbyte_ab_id`, `_airbyte_emitted_at`, `_airbyte_normalized_at`, `_airbyte_properties_hashid`) 2022-04-13 05:22:21 normalization > values 2022-04-13 05:22:21 normalization > (`_airbyte_line_items_hashid`, `tax`, `name`, `price`, `amount`, `hs_acv`, `hs_arr`, `hs_mrr`, `hs_sku`, `hs_tcv`, `hs_url`, `discount`, `quantity`, `hs_images`, `hs_margin`, `createdate`, `description`, `hs_object_id`, `hs_createdate`, `hs_margin_acv`, `hs_margin_arr`, `hs_margin_mrr`, `hs_margin_tcv`, `hs_product_id`, `hs_variant_id`, `hs_external_id`, `hs_sync_amount`, `hs_term_in_months`, `hs_total_discount`, `hs_lastmodifieddate`, `hs_merged_object_ids`, `hs_position_on_quote`, `hs_cost_of_goods_sold`, `hs_created_by_user_id`, `hs_updated_by_user_id`, `hs_discount_percentage`, `hs_pre_discount_amount`, `hs_unique_creation_key`, `hs_user_ids_of_all_owners`, `recurringbillingfrequency`, `hs_all_accessible_team_ids`, `hs_line_item_currency_code`, `hs_recurring_billing_period`, `hs_recurring_billing_end_date`, `hs_recurring_billing_start_date`, `hs_all_assigned_business_unit_ids`, `hs_user_ids_of_all_notification_followers`, `hs_user_ids_of_all_notification_unfollowers`, `_airbyte_ab_id`, `_airbyte_emitted_at`, `_airbyte_normalized_at`, `_airbyte_properties_hashid`) 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 05:04:15.733740 [debug] [Thread-5 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:04:15.734414 [info ] [Thread-5 ]: 45 of 77 OK created incremental model hubspot_.deals_dealstage.......................................................... [MERGE (0.0 rows, 0 processed) in 4.11s] 2022-04-13 05:22:21 normalization > 05:04:15.734845 [debug] [Thread-5 ]: Finished running node model.airbyte_utils.deals_dealstage 2022-04-13 05:22:21 normalization > 05:04:15.735051 [debug] [Thread-5 ]: Began running node model.airbyte_utils.forms_configuration_postSubmitAction_ab1 2022-04-13 05:22:21 normalization > 05:04:15.735408 [debug] [Thread-5 ]: Acquiring new bigquery connection "model.airbyte_utils.forms_configuration_postSubmitAction_ab1" 2022-04-13 05:22:21 normalization > 05:04:15.735793 [debug] [Thread-5 ]: Began compiling node model.airbyte_utils.forms_configuration_postSubmitAction_ab1 2022-04-13 05:22:21 normalization > 05:04:15.735964 [debug] [Thread-5 ]: Compiling model.airbyte_utils.forms_configuration_postSubmitAction_ab1 2022-04-13 05:22:21 normalization > 05:04:15.742226 [debug] [Thread-5 ]: Writing injected SQL for node "model.airbyte_utils.forms_configuration_postSubmitAction_ab1" 2022-04-13 05:22:21 normalization > 05:04:15.742557 [debug] [Thread-5 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:04:15.742907 [debug] [Thread-5 ]: Finished running node model.airbyte_utils.forms_configuration_postSubmitAction_ab1 2022-04-13 05:22:21 normalization > 05:04:15.743117 [debug] [Thread-5 ]: Began running node model.airbyte_utils.contacts_properties 2022-04-13 05:22:21 normalization > 05:04:15.743514 [info ] [Thread-5 ]: 47 of 77 START incremental model hubspot_.contacts_properties........................................................... [RUN] 2022-04-13 05:22:21 normalization > 05:04:15.744132 [debug] [Thread-5 ]: Acquiring new bigquery connection "model.airbyte_utils.contacts_properties" 2022-04-13 05:22:21 normalization > 05:04:15.744360 [debug] [Thread-5 ]: Began compiling node model.airbyte_utils.contacts_properties 2022-04-13 05:22:21 normalization > 05:04:15.744519 [debug] [Thread-5 ]: Compiling model.airbyte_utils.contacts_properties 2022-04-13 05:22:21 normalization > 05:04:15.752581 [debug] [Thread-5 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:04:16.045102 [debug] [Thread-5 ]: Writing injected SQL for node "model.airbyte_utils.contacts_properties" 2022-04-13 05:22:21 normalization > 05:04:16.045610 [debug] [Thread-5 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:04:16.045813 [debug] [Thread-5 ]: Began executing node model.airbyte_utils.contacts_properties 2022-04-13 05:22:21 normalization > 05:04:16.105589 [debug] [Thread-5 ]: On model.airbyte_utils.contacts_properties: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.contacts_properties"} */ 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > create or replace table `mansagroup-datascience`.hubspot_.`contacts_properties__dbt_tmp` 2022-04-13 05:22:21 normalization > partition by timestamp_trunc(_airbyte_emitted_at, day) 2022-04-13 05:22:21 normalization > cluster by _airbyte_emitted_at 2022-04-13 05:22:21 normalization > OPTIONS( 2022-04-13 05:22:21 normalization > expiration_timestamp=TIMESTAMP_ADD(CURRENT_TIMESTAMP(), INTERVAL 12 hour) 2022-04-13 05:22:21 normalization > ) 2022-04-13 05:22:21 normalization > as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > with __dbt__cte__contacts_properties_ab1 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema 2022-04-13 05:22:21 normalization > -- depends_on: `mansagroup-datascience`.hubspot_.`contacts` 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > _airbyte_contacts_hashid, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['fax']") as fax, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['zip']") as zip, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['city']") as city, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['gift']") as gift, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['email']") as email, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['phone']") as phone, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['state']") as state, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['title']") as title, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['degree']") as degree, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['fiche_']") as fiche_, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['gender']") as gender, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['metier']") as metier, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['repeat']") as repeat, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['school']") as school, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['address']") as address, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['company']") as company, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['country']") as country, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['giftsms']") as giftsms, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['ip_city']") as ip_city, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['is_test']") as is_test, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['message']") as message, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['website']") as website, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['activite']") as activite, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['address2']") as address2, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['geo_zone']") as geo_zone, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['industry']") as industry, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['ip_state']") as ip_state, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['jobtitle']") as jobtitle, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['lastname']") as lastname, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['looti_id']") as looti_id, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['mansa_id']") as mansa_id, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['portrait']") as portrait, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['referrer']") as referrer, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['utm_term']") as utm_term, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['abtest_id']") as abtest_id, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['closedate']") as closedate, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['firstname']") as firstname, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['ip_latlon']") as ip_latlon, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['is_french']") as is_french, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['lootscore']") as lootscore, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['next_step']") as next_step, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['num_notes']") as num_notes, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['rfi_files']") as rfi_files, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['seniority']") as seniority, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['ton_email']") as ton_email, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['createdate']") as createdate, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_persona']") as hs_persona, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['ip_country']") as ip_country, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['ip_zipcode']") as ip_zipcode, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['loanamount']") as loanamount, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['neodeal_id']") as neodeal_id, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['salutation']") as salutation, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['start_date']") as start_date, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['status_kyc']") as status_kyc, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['utm_medium']") as utm_medium, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['utm_source']") as utm_source, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['work_email']") as work_email, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['bon_metier_']") as bon_metier_, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_language']") as hs_language, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_pipeline']") as hs_pipeline, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_timezone']") as hs_timezone, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['is_new_deal']") as is_new_deal, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['loan_status']") as loan_status, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['looti_score']") as looti_score, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['majoritaire']") as majoritaire, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['mensualites']") as mensualites, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['mobilephone']") as mobilephone, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['pitch_focus']") as pitch_focus, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['utm_content']") as utm_content, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['company_size']") as company_size, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['contact_type']") as contact_type, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['data_missing']") as data_missing, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['fichage_muet']") as fichage_muet, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hellosign_cc']") as hellosign_cc, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_object_id']") as hs_object_id, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_testpurge']") as hs_testpurge, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hubspotscore']") as hubspotscore, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['job_function']") as job_function, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['linkedin_mp1']") as linkedin_mp1, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['linkedin_mp2']") as linkedin_mp2, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['linkedin_mp3']") as linkedin_mp3, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['neodeal_list']") as neodeal_list, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['numemployees']") as numemployees, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['rfi_response']") as rfi_response, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['url_calendly']") as url_calendly, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['url_intercom']") as url_intercom, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['url_linkedin']") as url_linkedin, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['utm_campaign']") as utm_campaign, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['annualrevenue']") as annualrevenue, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['city_of_birth']") as city_of_birth, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['date_of_birth']") as date_of_birth, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['days_to_close']") as days_to_close, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['email_neodeal']") as email_neodeal, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_createdate']") as hs_createdate, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_email_open']") as hs_email_open, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_is_contact']") as hs_is_contact, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['ip_state_code']") as ip_state_code, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['manual_import']") as manual_import, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['montant_libre']") as montant_libre, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['neodeal_owner']") as neodeal_owner, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['phone_neodeal']") as phone_neodeal, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['total_revenue']") as total_revenue, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['twitterhandle']") as twitterhandle, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['urgency_level']") as urgency_level, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['besoin_du_pret']") as besoin_du_pret, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['calendly_owner']") as calendly_owner, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['field_of_study']") as field_of_study, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_buying_role']") as hs_buying_role, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_email_click']") as hs_email_click, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_ip_timezone']") as hs_ip_timezone, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_is_unworked']") as hs_is_unworked, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_lead_status']") as hs_lead_status, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_legal_basis']") as hs_legal_basis, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['is_flagged_bdf']") as is_flagged_bdf, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['lifecyclestage']") as lifecyclestage, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['marital_status']") as marital_status, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['next_step_date']") as next_step_date, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['owner_calendly']") as owner_calendly, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['owner_intercom']") as owner_intercom, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['bank_statements']") as bank_statements, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['created_5minago']") as created_5minago, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['duplication_bug']") as duplication_bug, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['duration_months']") as duration_months, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['graduation_date']") as graduation_date, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_all_team_ids']") as hs_all_team_ids, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_email_bounce']") as hs_email_bounce, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_email_domain']") as hs_email_domain, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_email_optout']") as hs_email_optout, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_testrollback']") as hs_testrollback, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_time_in_lead']") as hs_time_in_lead, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hubspot_team_id']") as hubspot_team_id, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['intercom_userid']") as intercom_userid, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['ip_country_code']") as ip_country_code, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['lead_withdrawal']") as lead_withdrawal, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['legal_structure']") as legal_structure, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['linkedin_status']") as linkedin_status, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['military_status']") as military_status, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['monthly_revenue']") as monthly_revenue, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['owner_shortcode']") as owner_shortcode, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['owner_signature']") as owner_signature, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['partner_contact']") as partner_contact, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['status_intercom']") as status_intercom, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['url_mansa_admin']") as url_mansa_admin, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['uuid_mansa_user']") as uuid_mansa_user, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['amount_requested']") as amount_requested, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['anciennete_siren']") as anciennete_siren, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['country_of_birth']") as country_of_birth, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['date_recup_email']") as date_recup_email, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['date_recup_phone']") as date_recup_phone, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hellosign_meta_1']") as hellosign_meta_1, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hellosign_meta_2']") as hellosign_meta_2, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hellosign_meta_3']") as hellosign_meta_3, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hellosign_meta_4']") as hellosign_meta_4, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hellosign_meta_5']") as hellosign_meta_5, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hellosign_meta_6']") as hellosign_meta_6, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hellosign_meta_7']") as hellosign_meta_7, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hellosign_meta_8']") as hellosign_meta_8, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hellosign_meta_9']") as hellosign_meta_9, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_all_owner_ids']") as hs_all_owner_ids, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_email_replied']") as hs_email_replied, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_latest_source']") as hs_latest_source, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_time_in_other']") as hs_time_in_other, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hubspot_owner_id']") as hubspot_owner_id, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['lastmodifieddate']") as lastmodifieddate, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['linkedin_company']") as linkedin_company, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['linkedin_profile']") as linkedin_profile, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['messaging_status']") as messaging_status, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['offre_communaute']") as offre_communaute, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['owner_replyemail']") as owner_replyemail, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['plus_beau_moment']") as plus_beau_moment, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['statut_juridique']") as statut_juridique, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['url_dealcreation']") as url_dealcreation, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['v3_typeform_trap']") as v3_typeform_trap, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['arrears_message_1']") as arrears_message_1, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['calendly_answer_1']") as calendly_answer_1, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['calendly_answer_2']") as calendly_answer_2, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['calendly_answer_3']") as calendly_answer_3, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['calendly_answer_4']") as calendly_answer_4, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['calendly_answer_5']") as calendly_answer_5, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['calendly_answer_6']") as calendly_answer_6, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['calendly_answer_7']") as calendly_answer_7, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['calendly_answer_8']") as calendly_answer_8, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['calendly_answer_9']") as calendly_answer_9, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hellosign_meta_10']") as hellosign_meta_10, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hellosign_meta_11']") as hellosign_meta_11, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hellosign_meta_12']") as hellosign_meta_12, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hellosign_meta_13']") as hellosign_meta_13, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hellosign_meta_14']") as hellosign_meta_14, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hellosign_meta_15']") as hellosign_meta_15, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hellosign_meta_16']") as hellosign_meta_16, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hellosign_meta_17']") as hellosign_meta_17, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hellosign_meta_18']") as hellosign_meta_18, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hellosign_meta_19']") as hellosign_meta_19, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hellosign_meta_20']") as hellosign_meta_20, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hellosign_meta_21']") as hellosign_meta_21, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hellosign_meta_22']") as hellosign_meta_22, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hellosign_meta_23']") as hellosign_meta_23, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hellosign_meta_24']") as hellosign_meta_24, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hellosign_meta_25']") as hellosign_meta_25, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hellosign_meta_26']") as hellosign_meta_26, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hellosign_meta_27']") as hellosign_meta_27, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hellosign_meta_28']") as hellosign_meta_28, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hellosign_meta_29']") as hellosign_meta_29, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hellosign_meta_30']") as hellosign_meta_30, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['looti_loan_status']") as looti_loan_status, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['mansa_environment']") as mansa_environment, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['platforme_partner']") as platforme_partner, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['sms_not_delivered']") as sms_not_delivered, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['url_lead_creation']") as url_lead_creation, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['calendly_answer_10']") as calendly_answer_10, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['customer_bank_name']") as customer_bank_name, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_count_is_worked']") as hs_count_is_worked, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_email_delivered']") as hs_email_delivered, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_google_click_id']") as hs_google_click_id, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['is_resident_france']") as is_resident_france, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['notes_last_updated']") as notes_last_updated, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['phone_digits_only_']") as phone_digits_only_, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['recent_deal_amount']") as recent_deal_amount, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['annual_gross_salary']") as annual_gross_salary, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['associatedcompanyid']") as associatedcompanyid, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['calendly_question_1']") as calendly_question_1, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['calendly_question_2']") as calendly_question_2, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['calendly_question_3']") as calendly_question_3, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['calendly_question_4']") as calendly_question_4, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['calendly_question_5']") as calendly_question_5, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['calendly_question_6']") as calendly_question_6, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['calendly_question_7']") as calendly_question_7, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['calendly_question_8']") as calendly_question_8, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['calendly_question_9']") as calendly_question_9, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['currentlyinworkflow']") as currentlyinworkflow, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_all_contact_vids']") as hs_all_contact_vids, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_analytics_source']") as hs_analytics_source, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_date_exited_lead']") as hs_date_exited_lead, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_lastmodifieddate']") as hs_lastmodifieddate, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_time_in_customer']") as hs_time_in_customer, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['linkedin_invitation']") as linkedin_invitation, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['loan_purpose_other_']") as loan_purpose_other_, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['neodeal_date_import']") as neodeal_date_import, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['neodeal_mode_import']") as neodeal_mode_import, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['num_contacted_notes']") as num_contacted_notes, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['origine_acquisition']") as origine_acquisition, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['partnership_purpose']") as partnership_purpose, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['quel_est_ton_statut']") as quel_est_ton_statut, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['relationship_status']") as relationship_status, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['url_customer_folder']") as url_customer_folder, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['aircall_last_call_at']") as aircall_last_call_at, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['annual_revenue_range']") as annual_revenue_range, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['calendly_question_10']") as calendly_question_10, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_additional_emails']") as hs_additional_emails, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_analytics_revenue']") as hs_analytics_revenue, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_count_is_unworked']") as hs_count_is_unworked, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_date_entered_lead']") as hs_date_entered_lead, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_date_exited_other']") as hs_date_exited_other, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_email_bad_address']") as hs_email_bad_address, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_email_quarantined']") as hs_email_quarantined, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_facebook_click_id']") as hs_facebook_click_id, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_marketable_status']") as hs_marketable_status, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_merged_object_ids']") as hs_merged_object_ids, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['is_prior_liquidation']") as is_prior_liquidation, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['notes_last_contacted']") as notes_last_contacted, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['num_associated_deals']") as num_associated_deals, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['quel_est_ton_mtier__']") as quel_est_ton_mtier__, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['date_debut_d_activite']") as date_debut_d_activite, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['first_conversion_date']") as first_conversion_date, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_analytics_last_url']") as hs_analytics_last_url, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_created_by_user_id']") as hs_created_by_user_id, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_date_entered_other']") as hs_date_entered_other, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_time_in_evangelist']") as hs_time_in_evangelist, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_time_in_subscriber']") as hs_time_in_subscriber, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_updated_by_user_id']") as hs_updated_by_user_id, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['je_souhaite_emprunter']") as je_souhaite_emprunter, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['legal_status_specific']") as legal_status_specific, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['loan_purpose_detailed']") as loan_purpose_detailed, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['loan_purpose_referral']") as loan_purpose_referral, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['num_conversion_events']") as num_conversion_events, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['date_last_stage_change']") as date_last_stage_change, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_analytics_first_url']") as hs_analytics_first_url, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_email_is_ineligible']") as hs_email_is_ineligible, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_facebook_ad_clicked']") as hs_facebook_ad_clicked, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_time_in_opportunity']") as hs_time_in_opportunity, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_unique_creation_key']") as hs_unique_creation_key, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['last_used_aircall_tags']") as last_used_aircall_tags, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['partenaire_acquisition']") as partenaire_acquisition, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['recent_conversion_date']") as recent_conversion_date, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['recent_deal_close_date']") as recent_deal_close_date, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['first_deal_created_date']") as first_deal_created_date, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_analytics_num_visits']") as hs_analytics_num_visits, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_date_exited_customer']") as hs_date_exited_customer, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_email_last_open_date']") as hs_email_last_open_date, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_email_last_send_date']") as hs_email_last_send_date, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_email_optout_7952515']") as hs_email_optout_7952515, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_email_optout_8055707']") as hs_email_optout_8055707, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_latest_source_data_1']") as hs_latest_source_data_1, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_latest_source_data_2']") as hs_latest_source_data_2, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_marketable_reason_id']") as hs_marketable_reason_id, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['is_majority_shareholder']") as is_majority_shareholder, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['owner_direct_phone_line']") as owner_direct_phone_line, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['user_id_dashboard_mansa']") as user_id_dashboard_mansa, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['webinareventlastupdated']") as webinareventlastupdated, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['whatsapp_campaign_jan22']") as whatsapp_campaign_jan22, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_date_entered_customer']") as hs_date_entered_customer, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_email_first_open_date']") as hs_email_first_open_date, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_email_first_send_date']") as hs_email_first_send_date, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_email_last_click_date']") as hs_email_last_click_date, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_email_last_email_name']") as hs_email_last_email_name, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_email_last_reply_date']") as hs_email_last_reply_date, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_email_optout_11048289']") as hs_email_optout_11048289, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_email_optout_11942039']") as hs_email_optout_11942039, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_email_optout_12021788']") as hs_email_optout_12021788, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_sequences_is_enrolled']") as hs_sequences_is_enrolled, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['notes_next_activity_date']") as notes_next_activity_date, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['date_last_incomplete_call']") as date_last_incomplete_call, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['emaildomainisfreeprovider']") as emaildomainisfreeprovider, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_avatar_filemanager_key']") as hs_avatar_filemanager_key, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_calculated_merged_vids']") as hs_calculated_merged_vids, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_date_exited_evangelist']") as hs_date_exited_evangelist, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_date_exited_subscriber']") as hs_date_exited_subscriber, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_email_first_click_date']") as hs_email_first_click_date, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_email_first_reply_date']") as hs_email_first_reply_date, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_marketable_reason_type']") as hs_marketable_reason_type, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_user_ids_of_all_owners']") as hs_user_ids_of_all_owners, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['last_aircall_call_outcome']") as last_aircall_call_outcome, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['looti_scoring_explanation']") as looti_scoring_explanation, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_all_accessible_team_ids']") as hs_all_accessible_team_ids, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_analytics_last_referrer']") as hs_analytics_last_referrer, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_analytics_source_data_1']") as hs_analytics_source_data_1, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_analytics_source_data_2']") as hs_analytics_source_data_2, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_calculated_phone_number']") as hs_calculated_phone_number, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_date_entered_evangelist']") as hs_date_entered_evangelist, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_date_entered_subscriber']") as hs_date_entered_subscriber, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_date_exited_opportunity']") as hs_date_exited_opportunity, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_document_last_revisited']") as hs_document_last_revisited, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_emailconfirmationstatus']") as hs_emailconfirmationstatus, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_has_active_subscription']") as hs_has_active_subscription, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_latest_meeting_activity']") as hs_latest_meeting_activity, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_sales_email_last_opened']") as hs_sales_email_last_opened, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hubspot_owner_assigneddate']") as hubspot_owner_assigneddate, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['linkedin_relationship_date']") as linkedin_relationship_date, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['tmp_jerem_register_payload']") as tmp_jerem_register_payload, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['first_conversion_event_name']") as first_conversion_event_name, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_analytics_first_referrer']") as hs_analytics_first_referrer, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_analytics_last_timestamp']") as hs_analytics_last_timestamp, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_analytics_num_page_views']") as hs_analytics_num_page_views, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_calculated_mobile_number']") as hs_calculated_mobile_number, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_content_membership_notes']") as hs_content_membership_notes, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_created_by_conversations']") as hs_created_by_conversations, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_date_entered_opportunity']") as hs_date_entered_opportunity, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_email_hard_bounce_reason']") as hs_email_hard_bounce_reason, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_email_quarantined_reason']") as hs_email_quarantined_reason, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_last_sales_activity_date']") as hs_last_sales_activity_date, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_latest_sequence_enrolled']") as hs_latest_sequence_enrolled, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_lifecyclestage_lead_date']") as hs_lifecyclestage_lead_date, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_marketable_until_renewal']") as hs_marketable_until_renewal, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_sa_first_engagement_date']") as hs_sa_first_engagement_date, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_sales_email_last_clicked']") as hs_sales_email_last_clicked, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_sales_email_last_replied']") as hs_sales_email_last_replied, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_sequences_enrolled_count']") as hs_sequences_enrolled_count, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_time_to_first_engagement']") as hs_time_to_first_engagement, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['linkedin_neodeal_manual_msg']") as linkedin_neodeal_manual_msg, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['associatedcompanylastupdated']") as associatedcompanylastupdated, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_analytics_first_timestamp']") as hs_analytics_first_timestamp, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_content_membership_status']") as hs_content_membership_status, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_lifecyclestage_other_date']") as hs_lifecyclestage_other_date, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_sa_first_engagement_descr']") as hs_sa_first_engagement_descr, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['num_unique_conversion_events']") as num_unique_conversion_events, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['recent_conversion_event_name']") as recent_conversion_event_name, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['surveymonkeyeventlastupdated']") as surveymonkeyeventlastupdated, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hellosign_awaiting_signature2']") as hellosign_awaiting_signature2, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_first_engagement_object_id']") as hs_first_engagement_object_id, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_latest_sequence_ended_date']") as hs_latest_sequence_ended_date, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_time_in_salesqualifiedlead']") as hs_time_in_salesqualifiedlead, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_calculated_form_submissions']") as hs_calculated_form_submissions, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_conversations_visitor_email']") as hs_conversations_visitor_email, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['last_used_aircall_phone_number']") as last_used_aircall_phone_number, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['source_d_affiliation_des_leads']") as source_d_affiliation_des_leads, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['statut_juridique_d_independant']") as statut_juridique_d_independant, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['engagements_last_meeting_booked']") as engagements_last_meeting_booked, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_analytics_average_page_views']") as hs_analytics_average_page_views, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_lifecyclestage_customer_date']") as hs_lifecyclestage_customer_date, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_support_workflows_april_2021']") as hs_support_workflows_april_2021, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_email_hard_bounce_reason_enum']") as hs_email_hard_bounce_reason_enum, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_last_sales_activity_timestamp']") as hs_last_sales_activity_timestamp, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_latest_sequence_enrolled_date']") as hs_latest_sequence_enrolled_date, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_latest_sequence_finished_date']") as hs_latest_sequence_finished_date, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['grce__mansa_tu_voudrais_emprunter']") as grce__mansa_tu_voudrais_emprunter, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_analytics_last_visit_timestamp']") as hs_analytics_last_visit_timestamp, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_date_exited_salesqualifiedlead']") as hs_date_exited_salesqualifiedlead, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_first_subscription_create_date']") as hs_first_subscription_create_date, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_lifecyclestage_evangelist_date']") as hs_lifecyclestage_evangelist_date, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_lifecyclestage_subscriber_date']") as hs_lifecyclestage_subscriber_date, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_time_in_marketingqualifiedlead']") as hs_time_in_marketingqualifiedlead, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['quel_est__ton_statut_dindpendant_']") as quel_est__ton_statut_dindpendant_, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_analytics_first_visit_timestamp']") as hs_analytics_first_visit_timestamp, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_analytics_num_event_completions']") as hs_analytics_num_event_completions, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_date_entered_salesqualifiedlead']") as hs_date_entered_salesqualifiedlead, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_latest_sequence_unenrolled_date']") as hs_latest_sequence_unenrolled_date, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_latest_subscription_create_date']") as hs_latest_subscription_create_date, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_lifecyclestage_opportunity_date']") as hs_lifecyclestage_opportunity_date, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_sa_first_engagement_object_type']") as hs_sa_first_engagement_object_type, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_content_membership_registered_at']") as hs_content_membership_registered_at, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_calculated_phone_number_area_code']") as hs_calculated_phone_number_area_code, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_email_customer_quarantined_reason']") as hs_email_customer_quarantined_reason, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_email_sends_since_last_engagement']") as hs_email_sends_since_last_engagement, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_sequences_actively_enrolled_count']") as hs_sequences_actively_enrolled_count, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_content_membership_email_confirmed']") as hs_content_membership_email_confirmed, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_date_exited_marketingqualifiedlead']") as hs_date_exited_marketingqualifiedlead, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_searchable_calculated_phone_number']") as hs_searchable_calculated_phone_number, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_time_to_move_from_lead_to_customer']") as hs_time_to_move_from_lead_to_customer, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['engagements_last_meeting_booked_medium']") as engagements_last_meeting_booked_medium, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['engagements_last_meeting_booked_source']") as engagements_last_meeting_booked_source, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_calculated_phone_number_region_code']") as hs_calculated_phone_number_region_code, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_date_entered_marketingqualifiedlead']") as hs_date_entered_marketingqualifiedlead, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_searchable_calculated_mobile_number']") as hs_searchable_calculated_mobile_number, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_calculated_phone_number_country_code']") as hs_calculated_phone_number_country_code, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['engagements_last_meeting_booked_campaign']") as engagements_last_meeting_booked_campaign, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_lifecyclestage_salesqualifiedlead_date']") as hs_lifecyclestage_salesqualifiedlead_date, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_user_ids_of_all_notification_followers']") as hs_user_ids_of_all_notification_followers, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_analytics_last_touch_converting_campaign']") as hs_analytics_last_touch_converting_campaign, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_time_to_move_from_subscriber_to_customer']") as hs_time_to_move_from_subscriber_to_customer, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_user_ids_of_all_notification_unfollowers']") as hs_user_ids_of_all_notification_unfollowers, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_analytics_first_touch_converting_campaign']") as hs_analytics_first_touch_converting_campaign, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_time_to_move_from_opportunity_to_customer']") as hs_time_to_move_from_opportunity_to_customer, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_lifecyclestage_marketingqualifiedlead_date']") as hs_lifecyclestage_marketingqualifiedlead_date, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_time_between_contact_creation_and_deal_close']") as hs_time_between_contact_creation_and_deal_close, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_content_membership_registration_email_sent_at']") as hs_content_membership_registration_email_sent_at, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_content_membership_registration_domain_sent_to']") as hs_content_membership_registration_domain_sent_to, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_time_between_contact_creation_and_deal_creation']") as hs_time_between_contact_creation_and_deal_creation, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_searchable_calculated_international_phone_number']") as hs_searchable_calculated_international_phone_number, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_time_to_move_from_salesqualifiedlead_to_customer']") as hs_time_to_move_from_salesqualifiedlead_to_customer, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_searchable_calculated_international_mobile_number']") as hs_searchable_calculated_international_mobile_number, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['d_ou_viens_tu___decris_nous_ton_parcours_d_independant']") as d_ou_viens_tu___decris_nous_ton_parcours_d_independant, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_time_to_move_from_marketingqualifiedlead_to_customer']") as hs_time_to_move_from_marketingqualifiedlead_to_customer, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['nous_avons_maintenant_besoin_de_lanciennet_de_ton_siren']") as nous_avons_maintenant_besoin_de_lanciennet_de_ton_siren, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['quel_est_ton_chiffre_daffaire_par_mois__une_estimation_suffira_']") as quel_est_ton_chiffre_daffaire_par_mois__une_estimation_suffira_, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['blog_le_blog_de_mansa_le_prt_professionnel_pour_indpendants_et_tpe_23797705872_subscription']") as blog_le_blog_de_mansa_le_prt_professionnel_pour_indpendants_et_tpe_23797705872_subscription, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:21 normalization > from `mansagroup-datascience`.hubspot_.`contacts` as table_alias 2022-04-13 05:22:21 normalization > -- properties at contacts/properties 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > and properties is not null 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > ), __dbt__cte__contacts_properties_ab2 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__contacts_properties_ab1 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > _airbyte_contacts_hashid, 2022-04-13 05:22:21 normalization > cast(fax as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as fax, 2022-04-13 05:22:21 normalization > cast(zip as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as zip, 2022-04-13 05:22:21 normalization > cast(city as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as city, 2022-04-13 05:22:21 normalization > cast(gift as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as gift, 2022-04-13 05:22:21 normalization > cast(email as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as email, 2022-04-13 05:22:21 normalization > cast(phone as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as phone, 2022-04-13 05:22:21 normalization > cast(state as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as state, 2022-04-13 05:22:21 normalization > cast(title as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as title, 2022-04-13 05:22:21 normalization > cast(degree as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as degree, 2022-04-13 05:22:21 normalization > cast(fiche_ as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as fiche_, 2022-04-13 05:22:21 normalization > cast(gender as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as gender, 2022-04-13 05:22:21 normalization > cast(metier as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as metier, 2022-04-13 05:22:21 normalization > cast(repeat as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as repeat, 2022-04-13 05:22:21 normalization > cast(school as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as school, 2022-04-13 05:22:21 normalization > cast(address as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as address, 2022-04-13 05:22:21 normalization > cast(company as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as company, 2022-04-13 05:22:21 normalization > cast(country as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as country, 2022-04-13 05:22:21 normalization > cast(giftsms as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as giftsms, 2022-04-13 05:22:21 normalization > cast(ip_city as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as ip_city, 2022-04-13 05:22:21 normalization > cast(is_test as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as is_test, 2022-04-13 05:22:21 normalization > cast(message as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as message, 2022-04-13 05:22:21 normalization > cast(website as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as website, 2022-04-13 05:22:21 normalization > cast(activite as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as activite, 2022-04-13 05:22:21 normalization > cast(address2 as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as address2, 2022-04-13 05:22:21 normalization > cast(geo_zone as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as geo_zone, 2022-04-13 05:22:21 normalization > cast(industry as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as industry, 2022-04-13 05:22:21 normalization > cast(ip_state as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as ip_state, 2022-04-13 05:22:21 normalization > cast(jobtitle as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as jobtitle, 2022-04-13 05:22:21 normalization > cast(lastname as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as lastname, 2022-04-13 05:22:21 normalization > cast(looti_id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as looti_id, 2022-04-13 05:22:21 normalization > cast(mansa_id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as mansa_id, 2022-04-13 05:22:21 normalization > cast(portrait as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as portrait, 2022-04-13 05:22:21 normalization > cast(referrer as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as referrer, 2022-04-13 05:22:21 normalization > cast(utm_term as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as utm_term, 2022-04-13 05:22:21 normalization > cast(abtest_id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as abtest_id, 2022-04-13 05:22:21 normalization > cast(nullif(closedate, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as closedate, 2022-04-13 05:22:21 normalization > cast(firstname as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as firstname, 2022-04-13 05:22:21 normalization > cast(ip_latlon as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as ip_latlon, 2022-04-13 05:22:21 normalization > cast(is_french as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as is_french, 2022-04-13 05:22:21 normalization > cast(lootscore as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as lootscore, 2022-04-13 05:22:21 normalization > cast(next_step as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as next_step, 2022-04-13 05:22:21 normalization > cast(num_notes as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as num_notes, 2022-04-13 05:22:21 normalization > cast(rfi_files as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as rfi_files, 2022-04-13 05:22:21 normalization > cast(seniority as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as seniority, 2022-04-13 05:22:21 normalization > cast(ton_email as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as ton_email, 2022-04-13 05:22:21 normalization > cast(nullif(createdate, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as createdate, 2022-04-13 05:22:21 normalization > cast(hs_persona as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_persona, 2022-04-13 05:22:21 normalization > cast(ip_country as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as ip_country, 2022-04-13 05:22:21 normalization > cast(ip_zipcode as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as ip_zipcode, 2022-04-13 05:22:21 normalization > cast(loanamount as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as loanamount, 2022-04-13 05:22:21 normalization > cast(neodeal_id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as neodeal_id, 2022-04-13 05:22:21 normalization > cast(salutation as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as salutation, 2022-04-13 05:22:21 normalization > cast(start_date as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as start_date, 2022-04-13 05:22:21 normalization > cast(status_kyc as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as status_kyc, 2022-04-13 05:22:21 normalization > cast(utm_medium as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as utm_medium, 2022-04-13 05:22:21 normalization > cast(utm_source as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as utm_source, 2022-04-13 05:22:21 normalization > cast(work_email as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as work_email, 2022-04-13 05:22:21 normalization > cast(bon_metier_ as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as bon_metier_, 2022-04-13 05:22:21 normalization > cast(hs_language as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_language, 2022-04-13 05:22:21 normalization > cast(hs_pipeline as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_pipeline, 2022-04-13 05:22:21 normalization > cast(hs_timezone as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_timezone, 2022-04-13 05:22:21 normalization > cast(is_new_deal as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as is_new_deal, 2022-04-13 05:22:21 normalization > cast(loan_status as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as loan_status, 2022-04-13 05:22:21 normalization > cast(looti_score as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as looti_score, 2022-04-13 05:22:21 normalization > cast(majoritaire as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as majoritaire, 2022-04-13 05:22:21 normalization > cast(mensualites as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as mensualites, 2022-04-13 05:22:21 normalization > cast(mobilephone as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as mobilephone, 2022-04-13 05:22:21 normalization > cast(pitch_focus as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as pitch_focus, 2022-04-13 05:22:21 normalization > cast(utm_content as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as utm_content, 2022-04-13 05:22:21 normalization > cast(company_size as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as company_size, 2022-04-13 05:22:21 normalization > cast(contact_type as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as contact_type, 2022-04-13 05:22:21 normalization > cast(data_missing as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as data_missing, 2022-04-13 05:22:21 normalization > cast(fichage_muet as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as fichage_muet, 2022-04-13 05:22:21 normalization > cast(hellosign_cc as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hellosign_cc, 2022-04-13 05:22:21 normalization > cast(hs_object_id as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_object_id, 2022-04-13 05:22:21 normalization > cast(hs_testpurge as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_testpurge, 2022-04-13 05:22:21 normalization > cast(hubspotscore as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hubspotscore, 2022-04-13 05:22:21 normalization > cast(job_function as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as job_function, 2022-04-13 05:22:21 normalization > cast(nullif(linkedin_mp1, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as linkedin_mp1, 2022-04-13 05:22:21 normalization > cast(nullif(linkedin_mp2, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as linkedin_mp2, 2022-04-13 05:22:21 normalization > cast(nullif(linkedin_mp3, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as linkedin_mp3, 2022-04-13 05:22:21 normalization > cast(neodeal_list as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as neodeal_list, 2022-04-13 05:22:21 normalization > cast(numemployees as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as numemployees, 2022-04-13 05:22:21 normalization > cast(rfi_response as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as rfi_response, 2022-04-13 05:22:21 normalization > cast(url_calendly as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as url_calendly, 2022-04-13 05:22:21 normalization > cast(url_intercom as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as url_intercom, 2022-04-13 05:22:21 normalization > cast(url_linkedin as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as url_linkedin, 2022-04-13 05:22:21 normalization > cast(utm_campaign as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as utm_campaign, 2022-04-13 05:22:21 normalization > cast(annualrevenue as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as annualrevenue, 2022-04-13 05:22:21 normalization > cast(city_of_birth as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as city_of_birth, 2022-04-13 05:22:21 normalization > cast(date_of_birth as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as date_of_birth, 2022-04-13 05:22:21 normalization > cast(days_to_close as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as days_to_close, 2022-04-13 05:22:21 normalization > cast(email_neodeal as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as email_neodeal, 2022-04-13 05:22:21 normalization > cast(nullif(hs_createdate, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_createdate, 2022-04-13 05:22:21 normalization > cast(hs_email_open as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_email_open, 2022-04-13 05:22:21 normalization > cast(hs_is_contact as boolean) as hs_is_contact, 2022-04-13 05:22:21 normalization > cast(ip_state_code as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as ip_state_code, 2022-04-13 05:22:21 normalization > cast(manual_import as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as manual_import, 2022-04-13 05:22:21 normalization > cast(montant_libre as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as montant_libre, 2022-04-13 05:22:21 normalization > cast(neodeal_owner as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as neodeal_owner, 2022-04-13 05:22:21 normalization > cast(phone_neodeal as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as phone_neodeal, 2022-04-13 05:22:21 normalization > cast(total_revenue as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as total_revenue, 2022-04-13 05:22:21 normalization > cast(twitterhandle as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as twitterhandle, 2022-04-13 05:22:21 normalization > cast(urgency_level as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as urgency_level, 2022-04-13 05:22:21 normalization > cast(besoin_du_pret as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as besoin_du_pret, 2022-04-13 05:22:21 normalization > cast(calendly_owner as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as calendly_owner, 2022-04-13 05:22:21 normalization > cast(field_of_study as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as field_of_study, 2022-04-13 05:22:21 normalization > cast(hs_buying_role as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_buying_role, 2022-04-13 05:22:21 normalization > cast(hs_email_click as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_email_click, 2022-04-13 05:22:21 normalization > cast(hs_ip_timezone as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_ip_timezone, 2022-04-13 05:22:21 normalization > cast(hs_is_unworked as boolean) as hs_is_unworked, 2022-04-13 05:22:21 normalization > cast(hs_lead_status as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_lead_status, 2022-04-13 05:22:21 normalization > cast(hs_legal_basis as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_legal_basis, 2022-04-13 05:22:21 normalization > cast(is_flagged_bdf as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as is_flagged_bdf, 2022-04-13 05:22:21 normalization > cast(lifecyclestage as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as lifecyclestage, 2022-04-13 05:22:21 normalization > cast(marital_status as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as marital_status, 2022-04-13 05:22:21 normalization > cast(nullif(next_step_date, '') as 2022-04-13 05:22:21 normalization > date 2022-04-13 05:22:21 normalization > ) as next_step_date, 2022-04-13 05:22:21 normalization > cast(owner_calendly as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as owner_calendly, 2022-04-13 05:22:21 normalization > cast(owner_intercom as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as owner_intercom, 2022-04-13 05:22:21 normalization > cast(bank_statements as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as bank_statements, 2022-04-13 05:22:21 normalization > cast(created_5minago as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as created_5minago, 2022-04-13 05:22:21 normalization > cast(duplication_bug as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as duplication_bug, 2022-04-13 05:22:21 normalization > cast(duration_months as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as duration_months, 2022-04-13 05:22:21 normalization > cast(graduation_date as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as graduation_date, 2022-04-13 05:22:21 normalization > cast(hs_all_team_ids as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_all_team_ids, 2022-04-13 05:22:21 normalization > cast(hs_email_bounce as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_email_bounce, 2022-04-13 05:22:21 normalization > cast(hs_email_domain as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_email_domain, 2022-04-13 05:22:21 normalization > cast(hs_email_optout as boolean) as hs_email_optout, 2022-04-13 05:22:21 normalization > cast(hs_testrollback as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_testrollback, 2022-04-13 05:22:21 normalization > cast(hs_time_in_lead as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_time_in_lead, 2022-04-13 05:22:21 normalization > cast(hubspot_team_id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hubspot_team_id, 2022-04-13 05:22:21 normalization > cast(intercom_userid as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as intercom_userid, 2022-04-13 05:22:21 normalization > cast(ip_country_code as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as ip_country_code, 2022-04-13 05:22:21 normalization > cast(lead_withdrawal as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as lead_withdrawal, 2022-04-13 05:22:21 normalization > cast(legal_structure as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as legal_structure, 2022-04-13 05:22:21 normalization > cast(linkedin_status as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as linkedin_status, 2022-04-13 05:22:21 normalization > cast(military_status as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as military_status, 2022-04-13 05:22:21 normalization > cast(monthly_revenue as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as monthly_revenue, 2022-04-13 05:22:21 normalization > cast(owner_shortcode as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as owner_shortcode, 2022-04-13 05:22:21 normalization > cast(owner_signature as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as owner_signature, 2022-04-13 05:22:21 normalization > cast(partner_contact as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as partner_contact, 2022-04-13 05:22:21 normalization > cast(status_intercom as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as status_intercom, 2022-04-13 05:22:21 normalization > cast(url_mansa_admin as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as url_mansa_admin, 2022-04-13 05:22:21 normalization > cast(uuid_mansa_user as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as uuid_mansa_user, 2022-04-13 05:22:21 normalization > cast(amount_requested as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as amount_requested, 2022-04-13 05:22:21 normalization > cast(anciennete_siren as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as anciennete_siren, 2022-04-13 05:22:21 normalization > cast(country_of_birth as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as country_of_birth, 2022-04-13 05:22:21 normalization > cast(nullif(date_recup_email, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as date_recup_email, 2022-04-13 05:22:21 normalization > cast(nullif(date_recup_phone, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as date_recup_phone, 2022-04-13 05:22:21 normalization > cast(hellosign_meta_1 as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hellosign_meta_1, 2022-04-13 05:22:21 normalization > cast(hellosign_meta_2 as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hellosign_meta_2, 2022-04-13 05:22:21 normalization > cast(hellosign_meta_3 as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hellosign_meta_3, 2022-04-13 05:22:21 normalization > cast(hellosign_meta_4 as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hellosign_meta_4, 2022-04-13 05:22:21 normalization > cast(hellosign_meta_5 as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hellosign_meta_5, 2022-04-13 05:22:21 normalization > cast(hellosign_meta_6 as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hellosign_meta_6, 2022-04-13 05:22:21 normalization > cast(hellosign_meta_7 as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hellosign_meta_7, 2022-04-13 05:22:21 normalization > cast(hellosign_meta_8 as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hellosign_meta_8, 2022-04-13 05:22:21 normalization > cast(hellosign_meta_9 as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hellosign_meta_9, 2022-04-13 05:22:21 normalization > cast(hs_all_owner_ids as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_all_owner_ids, 2022-04-13 05:22:21 normalization > cast(hs_email_replied as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_email_replied, 2022-04-13 05:22:21 normalization > cast(hs_latest_source as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_latest_source, 2022-04-13 05:22:21 normalization > cast(hs_time_in_other as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_time_in_other, 2022-04-13 05:22:21 normalization > cast(hubspot_owner_id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hubspot_owner_id, 2022-04-13 05:22:21 normalization > cast(nullif(lastmodifieddate, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as lastmodifieddate, 2022-04-13 05:22:21 normalization > cast(linkedin_company as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as linkedin_company, 2022-04-13 05:22:21 normalization > cast(linkedin_profile as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as linkedin_profile, 2022-04-13 05:22:21 normalization > cast(messaging_status as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as messaging_status, 2022-04-13 05:22:21 normalization > cast(offre_communaute as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as offre_communaute, 2022-04-13 05:22:21 normalization > cast(owner_replyemail as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as owner_replyemail, 2022-04-13 05:22:21 normalization > cast(plus_beau_moment as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as plus_beau_moment, 2022-04-13 05:22:21 normalization > cast(statut_juridique as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as statut_juridique, 2022-04-13 05:22:21 normalization > cast(url_dealcreation as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as url_dealcreation, 2022-04-13 05:22:21 normalization > cast(v3_typeform_trap as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as v3_typeform_trap, 2022-04-13 05:22:21 normalization > cast(arrears_message_1 as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as arrears_message_1, 2022-04-13 05:22:21 normalization > cast(calendly_answer_1 as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as calendly_answer_1, 2022-04-13 05:22:21 normalization > cast(calendly_answer_2 as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as calendly_answer_2, 2022-04-13 05:22:21 normalization > cast(calendly_answer_3 as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as calendly_answer_3, 2022-04-13 05:22:21 normalization > cast(calendly_answer_4 as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as calendly_answer_4, 2022-04-13 05:22:21 normalization > cast(calendly_answer_5 as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as calendly_answer_5, 2022-04-13 05:22:21 normalization > cast(calendly_answer_6 as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as calendly_answer_6, 2022-04-13 05:22:21 normalization > cast(calendly_answer_7 as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as calendly_answer_7, 2022-04-13 05:22:21 normalization > cast(calendly_answer_8 as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as calendly_answer_8, 2022-04-13 05:22:21 normalization > cast(calendly_answer_9 as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as calendly_answer_9, 2022-04-13 05:22:21 normalization > cast(hellosign_meta_10 as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hellosign_meta_10, 2022-04-13 05:22:21 normalization > cast(hellosign_meta_11 as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hellosign_meta_11, 2022-04-13 05:22:21 normalization > cast(hellosign_meta_12 as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hellosign_meta_12, 2022-04-13 05:22:21 normalization > cast(hellosign_meta_13 as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hellosign_meta_13, 2022-04-13 05:22:21 normalization > cast(hellosign_meta_14 as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hellosign_meta_14, 2022-04-13 05:22:21 normalization > cast(hellosign_meta_15 as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hellosign_meta_15, 2022-04-13 05:22:21 normalization > cast(hellosign_meta_16 as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hellosign_meta_16, 2022-04-13 05:22:21 normalization > cast(hellosign_meta_17 as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hellosign_meta_17, 2022-04-13 05:22:21 normalization > cast(hellosign_meta_18 as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hellosign_meta_18, 2022-04-13 05:22:21 normalization > cast(hellosign_meta_19 as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hellosign_meta_19, 2022-04-13 05:22:21 normalization > cast(hellosign_meta_20 as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hellosign_meta_20, 2022-04-13 05:22:21 normalization > cast(hellosign_meta_21 as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hellosign_meta_21, 2022-04-13 05:22:21 normalization > cast(hellosign_meta_22 as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hellosign_meta_22, 2022-04-13 05:22:21 normalization > cast(hellosign_meta_23 as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hellosign_meta_23, 2022-04-13 05:22:21 normalization > cast(hellosign_meta_24 as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hellosign_meta_24, 2022-04-13 05:22:21 normalization > cast(hellosign_meta_25 as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hellosign_meta_25, 2022-04-13 05:22:21 normalization > cast(hellosign_meta_26 as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hellosign_meta_26, 2022-04-13 05:22:21 normalization > cast(hellosign_meta_27 as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hellosign_meta_27, 2022-04-13 05:22:21 normalization > cast(hellosign_meta_28 as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hellosign_meta_28, 2022-04-13 05:22:21 normalization > cast(hellosign_meta_29 as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hellosign_meta_29, 2022-04-13 05:22:21 normalization > cast(hellosign_meta_30 as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hellosign_meta_30, 2022-04-13 05:22:21 normalization > cast(looti_loan_status as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as looti_loan_status, 2022-04-13 05:22:21 normalization > cast(mansa_environment as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as mansa_environment, 2022-04-13 05:22:21 normalization > cast(platforme_partner as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as platforme_partner, 2022-04-13 05:22:21 normalization > cast(sms_not_delivered as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as sms_not_delivered, 2022-04-13 05:22:21 normalization > cast(url_lead_creation as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as url_lead_creation, 2022-04-13 05:22:21 normalization > cast(calendly_answer_10 as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as calendly_answer_10, 2022-04-13 05:22:21 normalization > cast(customer_bank_name as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as customer_bank_name, 2022-04-13 05:22:21 normalization > cast(hs_count_is_worked as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_count_is_worked, 2022-04-13 05:22:21 normalization > cast(hs_email_delivered as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_email_delivered, 2022-04-13 05:22:21 normalization > cast(hs_google_click_id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_google_click_id, 2022-04-13 05:22:21 normalization > cast(is_resident_france as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as is_resident_france, 2022-04-13 05:22:21 normalization > cast(nullif(notes_last_updated, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as notes_last_updated, 2022-04-13 05:22:21 normalization > cast(phone_digits_only_ as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as phone_digits_only_, 2022-04-13 05:22:21 normalization > cast(recent_deal_amount as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as recent_deal_amount, 2022-04-13 05:22:21 normalization > cast(annual_gross_salary as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as annual_gross_salary, 2022-04-13 05:22:21 normalization > cast(associatedcompanyid as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as associatedcompanyid, 2022-04-13 05:22:21 normalization > cast(calendly_question_1 as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as calendly_question_1, 2022-04-13 05:22:21 normalization > cast(calendly_question_2 as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as calendly_question_2, 2022-04-13 05:22:21 normalization > cast(calendly_question_3 as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as calendly_question_3, 2022-04-13 05:22:21 normalization > cast(calendly_question_4 as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as calendly_question_4, 2022-04-13 05:22:21 normalization > cast(calendly_question_5 as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as calendly_question_5, 2022-04-13 05:22:21 normalization > cast(calendly_question_6 as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as calendly_question_6, 2022-04-13 05:22:21 normalization > cast(calendly_question_7 as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as calendly_question_7, 2022-04-13 05:22:21 normalization > cast(calendly_question_8 as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as calendly_question_8, 2022-04-13 05:22:21 normalization > cast(calendly_question_9 as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as calendly_question_9, 2022-04-13 05:22:21 normalization > cast(currentlyinworkflow as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as currentlyinworkflow, 2022-04-13 05:22:21 normalization > cast(hs_all_contact_vids as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_all_contact_vids, 2022-04-13 05:22:21 normalization > cast(hs_analytics_source as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_analytics_source, 2022-04-13 05:22:21 normalization > cast(nullif(hs_date_exited_lead, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_date_exited_lead, 2022-04-13 05:22:21 normalization > cast(nullif(hs_lastmodifieddate, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_lastmodifieddate, 2022-04-13 05:22:21 normalization > cast(hs_time_in_customer as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_time_in_customer, 2022-04-13 05:22:21 normalization > cast(nullif(linkedin_invitation, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as linkedin_invitation, 2022-04-13 05:22:21 normalization > cast(loan_purpose_other_ as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as loan_purpose_other_, 2022-04-13 05:22:21 normalization > cast(nullif(neodeal_date_import, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as neodeal_date_import, 2022-04-13 05:22:21 normalization > cast(neodeal_mode_import as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as neodeal_mode_import, 2022-04-13 05:22:21 normalization > cast(num_contacted_notes as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as num_contacted_notes, 2022-04-13 05:22:21 normalization > cast(origine_acquisition as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as origine_acquisition, 2022-04-13 05:22:21 normalization > cast(partnership_purpose as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as partnership_purpose, 2022-04-13 05:22:21 normalization > cast(quel_est_ton_statut as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as quel_est_ton_statut, 2022-04-13 05:22:21 normalization > cast(relationship_status as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as relationship_status, 2022-04-13 05:22:21 normalization > cast(url_customer_folder as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as url_customer_folder, 2022-04-13 05:22:21 normalization > cast(nullif(aircall_last_call_at, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as aircall_last_call_at, 2022-04-13 05:22:21 normalization > cast(annual_revenue_range as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as annual_revenue_range, 2022-04-13 05:22:21 normalization > cast(calendly_question_10 as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as calendly_question_10, 2022-04-13 05:22:21 normalization > cast(hs_additional_emails as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_additional_emails, 2022-04-13 05:22:21 normalization > cast(hs_analytics_revenue as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_analytics_revenue, 2022-04-13 05:22:21 normalization > cast(hs_count_is_unworked as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_count_is_unworked, 2022-04-13 05:22:21 normalization > cast(nullif(hs_date_entered_lead, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_date_entered_lead, 2022-04-13 05:22:21 normalization > cast(nullif(hs_date_exited_other, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_date_exited_other, 2022-04-13 05:22:21 normalization > cast(hs_email_bad_address as boolean) as hs_email_bad_address, 2022-04-13 05:22:21 normalization > cast(hs_email_quarantined as boolean) as hs_email_quarantined, 2022-04-13 05:22:21 normalization > cast(hs_facebook_click_id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_facebook_click_id, 2022-04-13 05:22:21 normalization > cast(hs_marketable_status as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_marketable_status, 2022-04-13 05:22:21 normalization > cast(hs_merged_object_ids as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_merged_object_ids, 2022-04-13 05:22:21 normalization > cast(is_prior_liquidation as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as is_prior_liquidation, 2022-04-13 05:22:21 normalization > cast(nullif(notes_last_contacted, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as notes_last_contacted, 2022-04-13 05:22:21 normalization > cast(num_associated_deals as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as num_associated_deals, 2022-04-13 05:22:21 normalization > cast(quel_est_ton_mtier__ as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as quel_est_ton_mtier__, 2022-04-13 05:22:21 normalization > cast(nullif(date_debut_d_activite, '') as 2022-04-13 05:22:21 normalization > date 2022-04-13 05:22:21 normalization > ) as date_debut_d_activite, 2022-04-13 05:22:21 normalization > cast(nullif(first_conversion_date, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as first_conversion_date, 2022-04-13 05:22:21 normalization > cast(hs_analytics_last_url as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_analytics_last_url, 2022-04-13 05:22:21 normalization > cast(hs_created_by_user_id as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_created_by_user_id, 2022-04-13 05:22:21 normalization > cast(nullif(hs_date_entered_other, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_date_entered_other, 2022-04-13 05:22:21 normalization > cast(hs_time_in_evangelist as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_time_in_evangelist, 2022-04-13 05:22:21 normalization > cast(hs_time_in_subscriber as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_time_in_subscriber, 2022-04-13 05:22:21 normalization > cast(hs_updated_by_user_id as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_updated_by_user_id, 2022-04-13 05:22:21 normalization > cast(je_souhaite_emprunter as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as je_souhaite_emprunter, 2022-04-13 05:22:21 normalization > cast(legal_status_specific as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as legal_status_specific, 2022-04-13 05:22:21 normalization > cast(loan_purpose_detailed as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as loan_purpose_detailed, 2022-04-13 05:22:21 normalization > cast(loan_purpose_referral as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as loan_purpose_referral, 2022-04-13 05:22:21 normalization > cast(num_conversion_events as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as num_conversion_events, 2022-04-13 05:22:21 normalization > cast(nullif(date_last_stage_change, '') as 2022-04-13 05:22:21 normalization > date 2022-04-13 05:22:21 normalization > ) as date_last_stage_change, 2022-04-13 05:22:21 normalization > cast(hs_analytics_first_url as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_analytics_first_url, 2022-04-13 05:22:21 normalization > cast(hs_email_is_ineligible as boolean) as hs_email_is_ineligible, 2022-04-13 05:22:21 normalization > cast(hs_facebook_ad_clicked as boolean) as hs_facebook_ad_clicked, 2022-04-13 05:22:21 normalization > cast(hs_time_in_opportunity as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_time_in_opportunity, 2022-04-13 05:22:21 normalization > cast(hs_unique_creation_key as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_unique_creation_key, 2022-04-13 05:22:21 normalization > cast(last_used_aircall_tags as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as last_used_aircall_tags, 2022-04-13 05:22:21 normalization > cast(partenaire_acquisition as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as partenaire_acquisition, 2022-04-13 05:22:21 normalization > cast(nullif(recent_conversion_date, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as recent_conversion_date, 2022-04-13 05:22:21 normalization > cast(nullif(recent_deal_close_date, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as recent_deal_close_date, 2022-04-13 05:22:21 normalization > cast(nullif(first_deal_created_date, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as first_deal_created_date, 2022-04-13 05:22:21 normalization > cast(hs_analytics_num_visits as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_analytics_num_visits, 2022-04-13 05:22:21 normalization > cast(nullif(hs_date_exited_customer, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_date_exited_customer, 2022-04-13 05:22:21 normalization > cast(nullif(hs_email_last_open_date, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_email_last_open_date, 2022-04-13 05:22:21 normalization > cast(nullif(hs_email_last_send_date, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_email_last_send_date, 2022-04-13 05:22:21 normalization > cast(hs_email_optout_7952515 as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_email_optout_7952515, 2022-04-13 05:22:21 normalization > cast(hs_email_optout_8055707 as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_email_optout_8055707, 2022-04-13 05:22:21 normalization > cast(hs_latest_source_data_1 as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_latest_source_data_1, 2022-04-13 05:22:21 normalization > cast(hs_latest_source_data_2 as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_latest_source_data_2, 2022-04-13 05:22:21 normalization > cast(hs_marketable_reason_id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_marketable_reason_id, 2022-04-13 05:22:21 normalization > cast(is_majority_shareholder as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as is_majority_shareholder, 2022-04-13 05:22:21 normalization > cast(owner_direct_phone_line as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as owner_direct_phone_line, 2022-04-13 05:22:21 normalization > cast(user_id_dashboard_mansa as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as user_id_dashboard_mansa, 2022-04-13 05:22:21 normalization > cast(webinareventlastupdated as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as webinareventlastupdated, 2022-04-13 05:22:21 normalization > cast(whatsapp_campaign_jan22 as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as whatsapp_campaign_jan22, 2022-04-13 05:22:21 normalization > cast(nullif(hs_date_entered_customer, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_date_entered_customer, 2022-04-13 05:22:21 normalization > cast(nullif(hs_email_first_open_date, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_email_first_open_date, 2022-04-13 05:22:21 normalization > cast(nullif(hs_email_first_send_date, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_email_first_send_date, 2022-04-13 05:22:21 normalization > cast(nullif(hs_email_last_click_date, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_email_last_click_date, 2022-04-13 05:22:21 normalization > cast(hs_email_last_email_name as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_email_last_email_name, 2022-04-13 05:22:21 normalization > cast(nullif(hs_email_last_reply_date, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_email_last_reply_date, 2022-04-13 05:22:21 normalization > cast(hs_email_optout_11048289 as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_email_optout_11048289, 2022-04-13 05:22:21 normalization > cast(hs_email_optout_11942039 as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_email_optout_11942039, 2022-04-13 05:22:21 normalization > cast(hs_email_optout_12021788 as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_email_optout_12021788, 2022-04-13 05:22:21 normalization > cast(hs_sequences_is_enrolled as boolean) as hs_sequences_is_enrolled, 2022-04-13 05:22:21 normalization > cast(nullif(notes_next_activity_date, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as notes_next_activity_date, 2022-04-13 05:22:21 normalization > cast(nullif(date_last_incomplete_call, '') as 2022-04-13 05:22:21 normalization > date 2022-04-13 05:22:21 normalization > ) as date_last_incomplete_call, 2022-04-13 05:22:21 normalization > cast(emaildomainisfreeprovider as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as emaildomainisfreeprovider, 2022-04-13 05:22:21 normalization > cast(hs_avatar_filemanager_key as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_avatar_filemanager_key, 2022-04-13 05:22:21 normalization > cast(hs_calculated_merged_vids as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_calculated_merged_vids, 2022-04-13 05:22:21 normalization > cast(nullif(hs_date_exited_evangelist, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_date_exited_evangelist, 2022-04-13 05:22:21 normalization > cast(nullif(hs_date_exited_subscriber, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_date_exited_subscriber, 2022-04-13 05:22:21 normalization > cast(nullif(hs_email_first_click_date, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_email_first_click_date, 2022-04-13 05:22:21 normalization > cast(nullif(hs_email_first_reply_date, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_email_first_reply_date, 2022-04-13 05:22:21 normalization > cast(hs_marketable_reason_type as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_marketable_reason_type, 2022-04-13 05:22:21 normalization > cast(hs_user_ids_of_all_owners as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_user_ids_of_all_owners, 2022-04-13 05:22:21 normalization > cast(last_aircall_call_outcome as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as last_aircall_call_outcome, 2022-04-13 05:22:21 normalization > cast(looti_scoring_explanation as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as looti_scoring_explanation, 2022-04-13 05:22:21 normalization > cast(hs_all_accessible_team_ids as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_all_accessible_team_ids, 2022-04-13 05:22:21 normalization > cast(hs_analytics_last_referrer as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_analytics_last_referrer, 2022-04-13 05:22:21 normalization > cast(hs_analytics_source_data_1 as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_analytics_source_data_1, 2022-04-13 05:22:21 normalization > cast(hs_analytics_source_data_2 as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_analytics_source_data_2, 2022-04-13 05:22:21 normalization > cast(hs_calculated_phone_number as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_calculated_phone_number, 2022-04-13 05:22:21 normalization > cast(nullif(hs_date_entered_evangelist, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_date_entered_evangelist, 2022-04-13 05:22:21 normalization > cast(nullif(hs_date_entered_subscriber, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_date_entered_subscriber, 2022-04-13 05:22:21 normalization > cast(nullif(hs_date_exited_opportunity, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_date_exited_opportunity, 2022-04-13 05:22:21 normalization > cast(nullif(hs_document_last_revisited, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_document_last_revisited, 2022-04-13 05:22:21 normalization > cast(hs_emailconfirmationstatus as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_emailconfirmationstatus, 2022-04-13 05:22:21 normalization > cast(hs_has_active_subscription as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_has_active_subscription, 2022-04-13 05:22:21 normalization > cast(nullif(hs_latest_meeting_activity, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_latest_meeting_activity, 2022-04-13 05:22:21 normalization > cast(nullif(hs_sales_email_last_opened, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_sales_email_last_opened, 2022-04-13 05:22:21 normalization > cast(nullif(hubspot_owner_assigneddate, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hubspot_owner_assigneddate, 2022-04-13 05:22:21 normalization > cast(nullif(linkedin_relationship_date, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as linkedin_relationship_date, 2022-04-13 05:22:21 normalization > cast(tmp_jerem_register_payload as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as tmp_jerem_register_payload, 2022-04-13 05:22:21 normalization > cast(first_conversion_event_name as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as first_conversion_event_name, 2022-04-13 05:22:21 normalization > cast(hs_analytics_first_referrer as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_analytics_first_referrer, 2022-04-13 05:22:21 normalization > cast(nullif(hs_analytics_last_timestamp, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_analytics_last_timestamp, 2022-04-13 05:22:21 normalization > cast(hs_analytics_num_page_views as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_analytics_num_page_views, 2022-04-13 05:22:21 normalization > cast(hs_calculated_mobile_number as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_calculated_mobile_number, 2022-04-13 05:22:21 normalization > cast(hs_content_membership_notes as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_content_membership_notes, 2022-04-13 05:22:21 normalization > cast(hs_created_by_conversations as boolean) as hs_created_by_conversations, 2022-04-13 05:22:21 normalization > cast(nullif(hs_date_entered_opportunity, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_date_entered_opportunity, 2022-04-13 05:22:21 normalization > cast(hs_email_hard_bounce_reason as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_email_hard_bounce_reason, 2022-04-13 05:22:21 normalization > cast(hs_email_quarantined_reason as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_email_quarantined_reason, 2022-04-13 05:22:21 normalization > cast(nullif(hs_last_sales_activity_date, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_last_sales_activity_date, 2022-04-13 05:22:21 normalization > cast(hs_latest_sequence_enrolled as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_latest_sequence_enrolled, 2022-04-13 05:22:21 normalization > cast(nullif(hs_lifecyclestage_lead_date, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_lifecyclestage_lead_date, 2022-04-13 05:22:21 normalization > cast(hs_marketable_until_renewal as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_marketable_until_renewal, 2022-04-13 05:22:21 normalization > cast(nullif(hs_sa_first_engagement_date, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_sa_first_engagement_date, 2022-04-13 05:22:21 normalization > cast(nullif(hs_sales_email_last_clicked, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_sales_email_last_clicked, 2022-04-13 05:22:21 normalization > cast(nullif(hs_sales_email_last_replied, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_sales_email_last_replied, 2022-04-13 05:22:21 normalization > cast(hs_sequences_enrolled_count as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_sequences_enrolled_count, 2022-04-13 05:22:21 normalization > cast(hs_time_to_first_engagement as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_time_to_first_engagement, 2022-04-13 05:22:21 normalization > cast(nullif(linkedin_neodeal_manual_msg, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as linkedin_neodeal_manual_msg, 2022-04-13 05:22:21 normalization > cast(associatedcompanylastupdated as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as associatedcompanylastupdated, 2022-04-13 05:22:21 normalization > cast(nullif(hs_analytics_first_timestamp, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_analytics_first_timestamp, 2022-04-13 05:22:21 normalization > cast(hs_content_membership_status as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_content_membership_status, 2022-04-13 05:22:21 normalization > cast(nullif(hs_lifecyclestage_other_date, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_lifecyclestage_other_date, 2022-04-13 05:22:21 normalization > cast(hs_sa_first_engagement_descr as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_sa_first_engagement_descr, 2022-04-13 05:22:21 normalization > cast(num_unique_conversion_events as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as num_unique_conversion_events, 2022-04-13 05:22:21 normalization > cast(recent_conversion_event_name as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as recent_conversion_event_name, 2022-04-13 05:22:21 normalization > cast(surveymonkeyeventlastupdated as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as surveymonkeyeventlastupdated, 2022-04-13 05:22:21 normalization > cast(hellosign_awaiting_signature2 as boolean) as hellosign_awaiting_signature2, 2022-04-13 05:22:21 normalization > cast(hs_first_engagement_object_id as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_first_engagement_object_id, 2022-04-13 05:22:21 normalization > cast(nullif(hs_latest_sequence_ended_date, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_latest_sequence_ended_date, 2022-04-13 05:22:21 normalization > cast(hs_time_in_salesqualifiedlead as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_time_in_salesqualifiedlead, 2022-04-13 05:22:21 normalization > cast(hs_calculated_form_submissions as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_calculated_form_submissions, 2022-04-13 05:22:21 normalization > cast(hs_conversations_visitor_email as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_conversations_visitor_email, 2022-04-13 05:22:21 normalization > cast(last_used_aircall_phone_number as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as last_used_aircall_phone_number, 2022-04-13 05:22:21 normalization > cast(source_d_affiliation_des_leads as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as source_d_affiliation_des_leads, 2022-04-13 05:22:21 normalization > cast(statut_juridique_d_independant as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as statut_juridique_d_independant, 2022-04-13 05:22:21 normalization > cast(nullif(engagements_last_meeting_booked, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as engagements_last_meeting_booked, 2022-04-13 05:22:21 normalization > cast(hs_analytics_average_page_views as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_analytics_average_page_views, 2022-04-13 05:22:21 normalization > cast(nullif(hs_lifecyclestage_customer_date, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_lifecyclestage_customer_date, 2022-04-13 05:22:21 normalization > cast(hs_support_workflows_april_2021 as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_support_workflows_april_2021, 2022-04-13 05:22:21 normalization > cast(hs_email_hard_bounce_reason_enum as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_email_hard_bounce_reason_enum, 2022-04-13 05:22:21 normalization > cast(nullif(hs_last_sales_activity_timestamp, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_last_sales_activity_timestamp, 2022-04-13 05:22:21 normalization > cast(nullif(hs_latest_sequence_enrolled_date, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_latest_sequence_enrolled_date, 2022-04-13 05:22:21 normalization > cast(nullif(hs_latest_sequence_finished_date, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_latest_sequence_finished_date, 2022-04-13 05:22:21 normalization > cast(grce__mansa_tu_voudrais_emprunter as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as grce__mansa_tu_voudrais_emprunter, 2022-04-13 05:22:21 normalization > cast(nullif(hs_analytics_last_visit_timestamp, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_analytics_last_visit_timestamp, 2022-04-13 05:22:21 normalization > cast(nullif(hs_date_exited_salesqualifiedlead, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_date_exited_salesqualifiedlead, 2022-04-13 05:22:21 normalization > cast(nullif(hs_first_subscription_create_date, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_first_subscription_create_date, 2022-04-13 05:22:21 normalization > cast(nullif(hs_lifecyclestage_evangelist_date, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_lifecyclestage_evangelist_date, 2022-04-13 05:22:21 normalization > cast(nullif(hs_lifecyclestage_subscriber_date, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_lifecyclestage_subscriber_date, 2022-04-13 05:22:21 normalization > cast(hs_time_in_marketingqualifiedlead as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_time_in_marketingqualifiedlead, 2022-04-13 05:22:21 normalization > cast(quel_est__ton_statut_dindpendant_ as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as quel_est__ton_statut_dindpendant_, 2022-04-13 05:22:21 normalization > cast(nullif(hs_analytics_first_visit_timestamp, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_analytics_first_visit_timestamp, 2022-04-13 05:22:21 normalization > cast(hs_analytics_num_event_completions as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_analytics_num_event_completions, 2022-04-13 05:22:21 normalization > cast(nullif(hs_date_entered_salesqualifiedlead, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_date_entered_salesqualifiedlead, 2022-04-13 05:22:21 normalization > cast(nullif(hs_latest_sequence_unenrolled_date, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_latest_sequence_unenrolled_date, 2022-04-13 05:22:21 normalization > cast(nullif(hs_latest_subscription_create_date, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_latest_subscription_create_date, 2022-04-13 05:22:21 normalization > cast(nullif(hs_lifecyclestage_opportunity_date, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_lifecyclestage_opportunity_date, 2022-04-13 05:22:21 normalization > cast(hs_sa_first_engagement_object_type as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_sa_first_engagement_object_type, 2022-04-13 05:22:21 normalization > cast(nullif(hs_content_membership_registered_at, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_content_membership_registered_at, 2022-04-13 05:22:21 normalization > cast(hs_calculated_phone_number_area_code as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_calculated_phone_number_area_code, 2022-04-13 05:22:21 normalization > cast(hs_email_customer_quarantined_reason as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_email_customer_quarantined_reason, 2022-04-13 05:22:21 normalization > cast(hs_email_sends_since_last_engagement as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_email_sends_since_last_engagement, 2022-04-13 05:22:21 normalization > cast(hs_sequences_actively_enrolled_count as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_sequences_actively_enrolled_count, 2022-04-13 05:22:21 normalization > cast(hs_content_membership_email_confirmed as boolean) as hs_content_membership_email_confirmed, 2022-04-13 05:22:21 normalization > cast(nullif(hs_date_exited_marketingqualifiedlead, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_date_exited_marketingqualifiedlead, 2022-04-13 05:22:21 normalization > cast(hs_searchable_calculated_phone_number as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_searchable_calculated_phone_number, 2022-04-13 05:22:21 normalization > cast(hs_time_to_move_from_lead_to_customer as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_time_to_move_from_lead_to_customer, 2022-04-13 05:22:21 normalization > cast(engagements_last_meeting_booked_medium as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as engagements_last_meeting_booked_medium, 2022-04-13 05:22:21 normalization > cast(engagements_last_meeting_booked_source as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as engagements_last_meeting_booked_source, 2022-04-13 05:22:21 normalization > cast(hs_calculated_phone_number_region_code as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_calculated_phone_number_region_code, 2022-04-13 05:22:21 normalization > cast(nullif(hs_date_entered_marketingqualifiedlead, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_date_entered_marketingqualifiedlead, 2022-04-13 05:22:21 normalization > cast(hs_searchable_calculated_mobile_number as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_searchable_calculated_mobile_number, 2022-04-13 05:22:21 normalization > cast(hs_calculated_phone_number_country_code as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_calculated_phone_number_country_code, 2022-04-13 05:22:21 normalization > cast(engagements_last_meeting_booked_campaign as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as engagements_last_meeting_booked_campaign, 2022-04-13 05:22:21 normalization > cast(nullif(hs_lifecyclestage_salesqualifiedlead_date, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_lifecyclestage_salesqualifiedlead_date, 2022-04-13 05:22:21 normalization > cast(hs_user_ids_of_all_notification_followers as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_user_ids_of_all_notification_followers, 2022-04-13 05:22:21 normalization > cast(hs_analytics_last_touch_converting_campaign as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_analytics_last_touch_converting_campaign, 2022-04-13 05:22:21 normalization > cast(hs_time_to_move_from_subscriber_to_customer as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_time_to_move_from_subscriber_to_customer, 2022-04-13 05:22:21 normalization > cast(hs_user_ids_of_all_notification_unfollowers as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_user_ids_of_all_notification_unfollowers, 2022-04-13 05:22:21 normalization > cast(hs_analytics_first_touch_converting_campaign as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_analytics_first_touch_converting_campaign, 2022-04-13 05:22:21 normalization > cast(hs_time_to_move_from_opportunity_to_customer as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_time_to_move_from_opportunity_to_customer, 2022-04-13 05:22:21 normalization > cast(nullif(hs_lifecyclestage_marketingqualifiedlead_date, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_lifecyclestage_marketingqualifiedlead_date, 2022-04-13 05:22:21 normalization > cast(hs_time_between_contact_creation_and_deal_close as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_time_between_contact_creation_and_deal_close, 2022-04-13 05:22:21 normalization > cast(nullif(hs_content_membership_registration_email_sent_at, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_content_membership_registration_email_sent_at, 2022-04-13 05:22:21 normalization > cast(hs_content_membership_registration_domain_sent_to as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_content_membership_registration_domain_sent_to, 2022-04-13 05:22:21 normalization > cast(hs_time_between_contact_creation_and_deal_creation as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_time_between_contact_creation_and_deal_creation, 2022-04-13 05:22:21 normalization > cast(hs_searchable_calculated_international_phone_number as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_searchable_calculated_international_phone_number, 2022-04-13 05:22:21 normalization > cast(hs_time_to_move_from_salesqualifiedlead_to_customer as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_time_to_move_from_salesqualifiedlead_to_customer, 2022-04-13 05:22:21 normalization > cast(hs_searchable_calculated_international_mobile_number as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_searchable_calculated_international_mobile_number, 2022-04-13 05:22:21 normalization > cast(d_ou_viens_tu___decris_nous_ton_parcours_d_independant as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as d_ou_viens_tu___decris_nous_ton_parcours_d_independant, 2022-04-13 05:22:21 normalization > cast(hs_time_to_move_from_marketingqualifiedlead_to_customer as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_time_to_move_from_marketingqualifiedlead_to_customer, 2022-04-13 05:22:21 normalization > cast(nous_avons_maintenant_besoin_de_lanciennet_de_ton_siren as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as nous_avons_maintenant_besoin_de_lanciennet_de_ton_siren, 2022-04-13 05:22:21 normalization > cast(quel_est_ton_chiffre_daffaire_par_mois__une_estimation_suffira_ as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as quel_est_ton_chiffre_daffaire_par_mois__une_estimation_suffira_, 2022-04-13 05:22:21 normalization > cast(blog_le_blog_de_mansa_le_prt_professionnel_pour_indpendants_et_tpe_23797705872_subscription as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as blog_le_blog_de_mansa_le_prt_professionnel_pour_indpendants_et_tpe_23797705872_subscription, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:21 normalization > from __dbt__cte__contacts_properties_ab1 2022-04-13 05:22:21 normalization > -- properties at contacts/properties 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > ), __dbt__cte__contacts_properties_ab3 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to build a hash column based on the values of this record 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__contacts_properties_ab2 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > to_hex(md5(cast(concat(coalesce(cast(_airbyte_contacts_hashid as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(fax as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(zip as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(city as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(gift as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(email as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(phone as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(state as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(title as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(degree as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(fiche_ as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(gender as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(metier as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(repeat as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(school as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(address as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(company as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(country as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(giftsms as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(ip_city as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(is_test as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(message as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(website as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(activite as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(address2 as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(geo_zone as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(industry as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(ip_state as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(jobtitle as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(lastname as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(looti_id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(mansa_id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(portrait as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(referrer as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(utm_term as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(abtest_id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(closedate as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(firstname as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(ip_latlon as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(is_french as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(lootscore as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(next_step as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(num_notes as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(rfi_files as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(seniority as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(ton_email as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(createdate as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_persona as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(ip_country as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(ip_zipcode as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(loanamount as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(neodeal_id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(salutation as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(start_date as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(status_kyc as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(utm_medium as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(utm_source as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(work_email as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(bon_metier_ as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_language as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_pipeline as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_timezone as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(is_new_deal as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(loan_status as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(looti_score as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(majoritaire as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(mensualites as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(mobilephone as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(pitch_focus as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(utm_content as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(company_size as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(contact_type as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(data_missing as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(fichage_muet as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hellosign_cc as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_object_id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_testpurge as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hubspotscore as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(job_function as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(linkedin_mp1 as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(linkedin_mp2 as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(linkedin_mp3 as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(neodeal_list as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(numemployees as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(rfi_response as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(url_calendly as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(url_intercom as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(url_linkedin as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(utm_campaign as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(annualrevenue as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(city_of_birth as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(date_of_birth as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(days_to_close as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(email_neodeal as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_createdate as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_email_open as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_is_contact as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(ip_state_code as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(manual_import as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(montant_libre as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(neodeal_owner as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(phone_neodeal as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(total_revenue as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(twitterhandle as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(urgency_level as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(besoin_du_pret as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(calendly_owner as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(field_of_study as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_buying_role as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_email_click as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_ip_timezone as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_is_unworked as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_lead_status as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_legal_basis as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(is_flagged_bdf as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(lifecyclestage as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(marital_status as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(next_step_date as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(owner_calendly as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(owner_intercom as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(bank_statements as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(created_5minago as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(duplication_bug as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(duration_months as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(graduation_date as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_all_team_ids as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_email_bounce as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_email_domain as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_email_optout as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_testrollback as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_time_in_lead as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hubspot_team_id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(intercom_userid as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(ip_country_code as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(lead_withdrawal as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(legal_structure as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(linkedin_status as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(military_status as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(monthly_revenue as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', 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coalesce(cast(first_deal_created_date as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_analytics_num_visits as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_date_exited_customer as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_email_last_open_date as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_email_last_send_date as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_email_optout_7952515 as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_email_optout_8055707 as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_latest_source_data_1 as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_latest_source_data_2 as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_marketable_reason_id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(is_majority_shareholder as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(owner_direct_phone_line as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(user_id_dashboard_mansa as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(webinareventlastupdated as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(whatsapp_campaign_jan22 as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_date_entered_customer as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_email_first_open_date as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_email_first_send_date as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_email_last_click_date as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_email_last_email_name as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_email_last_reply_date as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_email_optout_11048289 as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_email_optout_11942039 as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_email_optout_12021788 as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_sequences_is_enrolled as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(notes_next_activity_date as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(date_last_incomplete_call as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(emaildomainisfreeprovider as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_avatar_filemanager_key as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_calculated_merged_vids as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_date_exited_evangelist as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_date_exited_subscriber as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_email_first_click_date as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_email_first_reply_date as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_marketable_reason_type as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_user_ids_of_all_owners as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(last_aircall_call_outcome as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(looti_scoring_explanation as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_all_accessible_team_ids as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_analytics_last_referrer as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_analytics_source_data_1 as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_analytics_source_data_2 as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_calculated_phone_number as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_date_entered_evangelist as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_date_entered_subscriber as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_date_exited_opportunity as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_document_last_revisited as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_emailconfirmationstatus as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_has_active_subscription as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_latest_meeting_activity as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_sales_email_last_opened as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hubspot_owner_assigneddate as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(linkedin_relationship_date as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(tmp_jerem_register_payload as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(first_conversion_event_name as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_analytics_first_referrer as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_analytics_last_timestamp as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_analytics_num_page_views as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_calculated_mobile_number as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_content_membership_notes as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_created_by_conversations as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_date_entered_opportunity as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_email_hard_bounce_reason as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_email_quarantined_reason as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_last_sales_activity_date as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_latest_sequence_enrolled as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_lifecyclestage_lead_date as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_marketable_until_renewal as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_sa_first_engagement_date as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_sales_email_last_clicked as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_sales_email_last_replied as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_sequences_enrolled_count as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_time_to_first_engagement as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(linkedin_neodeal_manual_msg as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(associatedcompanylastupdated as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_analytics_first_timestamp as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_content_membership_status as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_lifecyclestage_other_date as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_sa_first_engagement_descr as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(num_unique_conversion_events as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(recent_conversion_event_name as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(surveymonkeyeventlastupdated as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hellosign_awaiting_signature2 as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_first_engagement_object_id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_latest_sequence_ended_date as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_time_in_salesqualifiedlead as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_calculated_form_submissions as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_conversations_visitor_email as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(last_used_aircall_phone_number as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(source_d_affiliation_des_leads as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(statut_juridique_d_independant as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(engagements_last_meeting_booked as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_analytics_average_page_views as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_lifecyclestage_customer_date as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_support_workflows_april_2021 as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_email_hard_bounce_reason_enum as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_last_sales_activity_timestamp as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_latest_sequence_enrolled_date as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_latest_sequence_finished_date as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(grce__mansa_tu_voudrais_emprunter as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_analytics_last_visit_timestamp as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_date_exited_salesqualifiedlead as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_first_subscription_create_date as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_lifecyclestage_evangelist_date as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_lifecyclestage_subscriber_date as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_time_in_marketingqualifiedlead as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(quel_est__ton_statut_dindpendant_ as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_analytics_first_visit_timestamp as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_analytics_num_event_completions as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_date_entered_salesqualifiedlead as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_latest_sequence_unenrolled_date as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_latest_subscription_create_date as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_lifecyclestage_opportunity_date as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_sa_first_engagement_object_type as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_content_membership_registered_at as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_calculated_phone_number_area_code as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_email_customer_quarantined_reason as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_email_sends_since_last_engagement as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_sequences_actively_enrolled_count as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_content_membership_email_confirmed as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_date_exited_marketingqualifiedlead as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_searchable_calculated_phone_number as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_time_to_move_from_lead_to_customer as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(engagements_last_meeting_booked_medium as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(engagements_last_meeting_booked_source as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_calculated_phone_number_region_code as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_date_entered_marketingqualifiedlead as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_searchable_calculated_mobile_number as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_calculated_phone_number_country_code as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(engagements_last_meeting_booked_campaign as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_lifecyclestage_salesqualifiedlead_date as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_user_ids_of_all_notification_followers as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_analytics_last_touch_converting_campaign as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_time_to_move_from_subscriber_to_customer as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_user_ids_of_all_notification_unfollowers as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_analytics_first_touch_converting_campaign as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_time_to_move_from_opportunity_to_customer as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_lifecyclestage_marketingqualifiedlead_date as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_time_between_contact_creation_and_deal_close as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_content_membership_registration_email_sent_at as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_content_membership_registration_domain_sent_to as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_time_between_contact_creation_and_deal_creation as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_searchable_calculated_international_phone_number as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_time_to_move_from_salesqualifiedlead_to_customer as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_searchable_calculated_international_mobile_number as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(d_ou_viens_tu___decris_nous_ton_parcours_d_independant as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_time_to_move_from_marketingqualifiedlead_to_customer as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(nous_avons_maintenant_besoin_de_lanciennet_de_ton_siren as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(quel_est_ton_chiffre_daffaire_par_mois__une_estimation_suffira_ as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(blog_le_blog_de_mansa_le_prt_professionnel_pour_indpendants_et_tpe_23797705872_subscription as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), '')) as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ))) as _airbyte_properties_hashid, 2022-04-13 05:22:21 normalization > tmp.* 2022-04-13 05:22:21 normalization > from __dbt__cte__contacts_properties_ab2 tmp 2022-04-13 05:22:21 normalization > -- properties at contacts/properties 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > )-- Final base SQL model 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__contacts_properties_ab3 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > _airbyte_contacts_hashid, 2022-04-13 05:22:21 normalization > fax, 2022-04-13 05:22:21 normalization > zip, 2022-04-13 05:22:21 normalization > city, 2022-04-13 05:22:21 normalization > gift, 2022-04-13 05:22:21 normalization > email, 2022-04-13 05:22:21 normalization > phone, 2022-04-13 05:22:21 normalization > state, 2022-04-13 05:22:21 normalization > title, 2022-04-13 05:22:21 normalization > degree, 2022-04-13 05:22:21 normalization > fiche_, 2022-04-13 05:22:21 normalization > gender, 2022-04-13 05:22:21 normalization > metier, 2022-04-13 05:22:21 normalization > repeat, 2022-04-13 05:22:21 normalization > school, 2022-04-13 05:22:21 normalization > address, 2022-04-13 05:22:21 normalization > company, 2022-04-13 05:22:21 normalization > country, 2022-04-13 05:22:21 normalization > giftsms, 2022-04-13 05:22:21 normalization > ip_city, 2022-04-13 05:22:21 normalization > is_test, 2022-04-13 05:22:21 normalization > message, 2022-04-13 05:22:21 normalization > website, 2022-04-13 05:22:21 normalization > activite, 2022-04-13 05:22:21 normalization > address2, 2022-04-13 05:22:21 normalization > geo_zone, 2022-04-13 05:22:21 normalization > industry, 2022-04-13 05:22:21 normalization > ip_state, 2022-04-13 05:22:21 normalization > jobtitle, 2022-04-13 05:22:21 normalization > lastname, 2022-04-13 05:22:21 normalization > looti_id, 2022-04-13 05:22:21 normalization > mansa_id, 2022-04-13 05:22:21 normalization > portrait, 2022-04-13 05:22:21 normalization > referrer, 2022-04-13 05:22:21 normalization > utm_term, 2022-04-13 05:22:21 normalization > abtest_id, 2022-04-13 05:22:21 normalization > closedate, 2022-04-13 05:22:21 normalization > firstname, 2022-04-13 05:22:21 normalization > ip_latlon, 2022-04-13 05:22:21 normalization > is_french, 2022-04-13 05:22:21 normalization > lootscore, 2022-04-13 05:22:21 normalization > next_step, 2022-04-13 05:22:21 normalization > num_notes, 2022-04-13 05:22:21 normalization > rfi_files, 2022-04-13 05:22:21 normalization > seniority, 2022-04-13 05:22:21 normalization > ton_email, 2022-04-13 05:22:21 normalization > createdate, 2022-04-13 05:22:21 normalization > hs_persona, 2022-04-13 05:22:21 normalization > ip_country, 2022-04-13 05:22:21 normalization > ip_zipcode, 2022-04-13 05:22:21 normalization > loanamount, 2022-04-13 05:22:21 normalization > neodeal_id, 2022-04-13 05:22:21 normalization > salutation, 2022-04-13 05:22:21 normalization > start_date, 2022-04-13 05:22:21 normalization > status_kyc, 2022-04-13 05:22:21 normalization > utm_medium, 2022-04-13 05:22:21 normalization > utm_source, 2022-04-13 05:22:21 normalization > work_email, 2022-04-13 05:22:21 normalization > bon_metier_, 2022-04-13 05:22:21 normalization > hs_language, 2022-04-13 05:22:21 normalization > hs_pipeline, 2022-04-13 05:22:21 normalization > hs_timezone, 2022-04-13 05:22:21 normalization > is_new_deal, 2022-04-13 05:22:21 normalization > loan_status, 2022-04-13 05:22:21 normalization > looti_score, 2022-04-13 05:22:21 normalization > majoritaire, 2022-04-13 05:22:21 normalization > mensualites, 2022-04-13 05:22:21 normalization > mobilephone, 2022-04-13 05:22:21 normalization > pitch_focus, 2022-04-13 05:22:21 normalization > utm_content, 2022-04-13 05:22:21 normalization > company_size, 2022-04-13 05:22:21 normalization > contact_type, 2022-04-13 05:22:21 normalization > data_missing, 2022-04-13 05:22:21 normalization > fichage_muet, 2022-04-13 05:22:21 normalization > hellosign_cc, 2022-04-13 05:22:21 normalization > hs_object_id, 2022-04-13 05:22:21 normalization > hs_testpurge, 2022-04-13 05:22:21 normalization > hubspotscore, 2022-04-13 05:22:21 normalization > job_function, 2022-04-13 05:22:21 normalization > linkedin_mp1, 2022-04-13 05:22:21 normalization > linkedin_mp2, 2022-04-13 05:22:21 normalization > linkedin_mp3, 2022-04-13 05:22:21 normalization > neodeal_list, 2022-04-13 05:22:21 normalization > numemployees, 2022-04-13 05:22:21 normalization > rfi_response, 2022-04-13 05:22:21 normalization > url_calendly, 2022-04-13 05:22:21 normalization > url_intercom, 2022-04-13 05:22:21 normalization > url_linkedin, 2022-04-13 05:22:21 normalization > utm_campaign, 2022-04-13 05:22:21 normalization > annualrevenue, 2022-04-13 05:22:21 normalization > city_of_birth, 2022-04-13 05:22:21 normalization > date_of_birth, 2022-04-13 05:22:21 normalization > days_to_close, 2022-04-13 05:22:21 normalization > email_neodeal, 2022-04-13 05:22:21 normalization > hs_createdate, 2022-04-13 05:22:21 normalization > hs_email_open, 2022-04-13 05:22:21 normalization > hs_is_contact, 2022-04-13 05:22:21 normalization > ip_state_code, 2022-04-13 05:22:21 normalization > manual_import, 2022-04-13 05:22:21 normalization > montant_libre, 2022-04-13 05:22:21 normalization > neodeal_owner, 2022-04-13 05:22:21 normalization > phone_neodeal, 2022-04-13 05:22:21 normalization > total_revenue, 2022-04-13 05:22:21 normalization > twitterhandle, 2022-04-13 05:22:21 normalization > urgency_level, 2022-04-13 05:22:21 normalization > besoin_du_pret, 2022-04-13 05:22:21 normalization > calendly_owner, 2022-04-13 05:22:21 normalization > field_of_study, 2022-04-13 05:22:21 normalization > hs_buying_role, 2022-04-13 05:22:21 normalization > hs_email_click, 2022-04-13 05:22:21 normalization > hs_ip_timezone, 2022-04-13 05:22:21 normalization > hs_is_unworked, 2022-04-13 05:22:21 normalization > hs_lead_status, 2022-04-13 05:22:21 normalization > hs_legal_basis, 2022-04-13 05:22:21 normalization > is_flagged_bdf, 2022-04-13 05:22:21 normalization > lifecyclestage, 2022-04-13 05:22:21 normalization > marital_status, 2022-04-13 05:22:21 normalization > next_step_date, 2022-04-13 05:22:21 normalization > owner_calendly, 2022-04-13 05:22:21 normalization > owner_intercom, 2022-04-13 05:22:21 normalization > bank_statements, 2022-04-13 05:22:21 normalization > created_5minago, 2022-04-13 05:22:21 normalization > duplication_bug, 2022-04-13 05:22:21 normalization > duration_months, 2022-04-13 05:22:21 normalization > graduation_date, 2022-04-13 05:22:21 normalization > hs_all_team_ids, 2022-04-13 05:22:21 normalization > hs_email_bounce, 2022-04-13 05:22:21 normalization > hs_email_domain, 2022-04-13 05:22:21 normalization > hs_email_optout, 2022-04-13 05:22:21 normalization > hs_testrollback, 2022-04-13 05:22:21 normalization > hs_time_in_lead, 2022-04-13 05:22:21 normalization > hubspot_team_id, 2022-04-13 05:22:21 normalization > intercom_userid, 2022-04-13 05:22:21 normalization > ip_country_code, 2022-04-13 05:22:21 normalization > lead_withdrawal, 2022-04-13 05:22:21 normalization > legal_structure, 2022-04-13 05:22:21 normalization > linkedin_status, 2022-04-13 05:22:21 normalization > military_status, 2022-04-13 05:22:21 normalization > monthly_revenue, 2022-04-13 05:22:21 normalization > owner_shortcode, 2022-04-13 05:22:21 normalization > owner_signature, 2022-04-13 05:22:21 normalization > partner_contact, 2022-04-13 05:22:21 normalization > status_intercom, 2022-04-13 05:22:21 normalization > url_mansa_admin, 2022-04-13 05:22:21 normalization > uuid_mansa_user, 2022-04-13 05:22:21 normalization > amount_requested, 2022-04-13 05:22:21 normalization > anciennete_siren, 2022-04-13 05:22:21 normalization > country_of_birth, 2022-04-13 05:22:21 normalization > date_recup_email, 2022-04-13 05:22:21 normalization > date_recup_phone, 2022-04-13 05:22:21 normalization > hellosign_meta_1, 2022-04-13 05:22:21 normalization > hellosign_meta_2, 2022-04-13 05:22:21 normalization > hellosign_meta_3, 2022-04-13 05:22:21 normalization > hellosign_meta_4, 2022-04-13 05:22:21 normalization > hellosign_meta_5, 2022-04-13 05:22:21 normalization > hellosign_meta_6, 2022-04-13 05:22:21 normalization > hellosign_meta_7, 2022-04-13 05:22:21 normalization > hellosign_meta_8, 2022-04-13 05:22:21 normalization > hellosign_meta_9, 2022-04-13 05:22:21 normalization > hs_all_owner_ids, 2022-04-13 05:22:21 normalization > hs_email_replied, 2022-04-13 05:22:21 normalization > hs_latest_source, 2022-04-13 05:22:21 normalization > hs_time_in_other, 2022-04-13 05:22:21 normalization > hubspot_owner_id, 2022-04-13 05:22:21 normalization > lastmodifieddate, 2022-04-13 05:22:21 normalization > linkedin_company, 2022-04-13 05:22:21 normalization > linkedin_profile, 2022-04-13 05:22:21 normalization > messaging_status, 2022-04-13 05:22:21 normalization > offre_communaute, 2022-04-13 05:22:21 normalization > owner_replyemail, 2022-04-13 05:22:21 normalization > plus_beau_moment, 2022-04-13 05:22:21 normalization > statut_juridique, 2022-04-13 05:22:21 normalization > url_dealcreation, 2022-04-13 05:22:21 normalization > v3_typeform_trap, 2022-04-13 05:22:21 normalization > arrears_message_1, 2022-04-13 05:22:21 normalization > calendly_answer_1, 2022-04-13 05:22:21 normalization > calendly_answer_2, 2022-04-13 05:22:21 normalization > calendly_answer_3, 2022-04-13 05:22:21 normalization > calendly_answer_4, 2022-04-13 05:22:21 normalization > calendly_answer_5, 2022-04-13 05:22:21 normalization > calendly_answer_6, 2022-04-13 05:22:21 normalization > calendly_answer_7, 2022-04-13 05:22:21 normalization > calendly_answer_8, 2022-04-13 05:22:21 normalization > calendly_answer_9, 2022-04-13 05:22:21 normalization > hellosign_meta_10, 2022-04-13 05:22:21 normalization > hellosign_meta_11, 2022-04-13 05:22:21 normalization > hellosign_meta_12, 2022-04-13 05:22:21 normalization > hellosign_meta_13, 2022-04-13 05:22:21 normalization > hellosign_meta_14, 2022-04-13 05:22:21 normalization > hellosign_meta_15, 2022-04-13 05:22:21 normalization > hellosign_meta_16, 2022-04-13 05:22:21 normalization > hellosign_meta_17, 2022-04-13 05:22:21 normalization > hellosign_meta_18, 2022-04-13 05:22:21 normalization > hellosign_meta_19, 2022-04-13 05:22:21 normalization > hellosign_meta_20, 2022-04-13 05:22:21 normalization > hellosign_meta_21, 2022-04-13 05:22:21 normalization > hellosign_meta_22, 2022-04-13 05:22:21 normalization > hellosign_meta_23, 2022-04-13 05:22:21 normalization > hellosign_meta_24, 2022-04-13 05:22:21 normalization > hellosign_meta_25, 2022-04-13 05:22:21 normalization > hellosign_meta_26, 2022-04-13 05:22:21 normalization > hellosign_meta_27, 2022-04-13 05:22:21 normalization > hellosign_meta_28, 2022-04-13 05:22:21 normalization > hellosign_meta_29, 2022-04-13 05:22:21 normalization > hellosign_meta_30, 2022-04-13 05:22:21 normalization > looti_loan_status, 2022-04-13 05:22:21 normalization > mansa_environment, 2022-04-13 05:22:21 normalization > platforme_partner, 2022-04-13 05:22:21 normalization > sms_not_delivered, 2022-04-13 05:22:21 normalization > url_lead_creation, 2022-04-13 05:22:21 normalization > calendly_answer_10, 2022-04-13 05:22:21 normalization > customer_bank_name, 2022-04-13 05:22:21 normalization > hs_count_is_worked, 2022-04-13 05:22:21 normalization > hs_email_delivered, 2022-04-13 05:22:21 normalization > hs_google_click_id, 2022-04-13 05:22:21 normalization > is_resident_france, 2022-04-13 05:22:21 normalization > notes_last_updated, 2022-04-13 05:22:21 normalization > phone_digits_only_, 2022-04-13 05:22:21 normalization > recent_deal_amount, 2022-04-13 05:22:21 normalization > annual_gross_salary, 2022-04-13 05:22:21 normalization > associatedcompanyid, 2022-04-13 05:22:21 normalization > calendly_question_1, 2022-04-13 05:22:21 normalization > calendly_question_2, 2022-04-13 05:22:21 normalization > calendly_question_3, 2022-04-13 05:22:21 normalization > calendly_question_4, 2022-04-13 05:22:21 normalization > calendly_question_5, 2022-04-13 05:22:21 normalization > calendly_question_6, 2022-04-13 05:22:21 normalization > calendly_question_7, 2022-04-13 05:22:21 normalization > calendly_question_8, 2022-04-13 05:22:21 normalization > calendly_question_9, 2022-04-13 05:22:21 normalization > currentlyinworkflow, 2022-04-13 05:22:21 normalization > hs_all_contact_vids, 2022-04-13 05:22:21 normalization > hs_analytics_source, 2022-04-13 05:22:21 normalization > hs_date_exited_lead, 2022-04-13 05:22:21 normalization > hs_lastmodifieddate, 2022-04-13 05:22:21 normalization > hs_time_in_customer, 2022-04-13 05:22:21 normalization > linkedin_invitation, 2022-04-13 05:22:21 normalization > loan_purpose_other_, 2022-04-13 05:22:21 normalization > neodeal_date_import, 2022-04-13 05:22:21 normalization > neodeal_mode_import, 2022-04-13 05:22:21 normalization > num_contacted_notes, 2022-04-13 05:22:21 normalization > origine_acquisition, 2022-04-13 05:22:21 normalization > partnership_purpose, 2022-04-13 05:22:21 normalization > quel_est_ton_statut, 2022-04-13 05:22:21 normalization > relationship_status, 2022-04-13 05:22:21 normalization > url_customer_folder, 2022-04-13 05:22:21 normalization > aircall_last_call_at, 2022-04-13 05:22:21 normalization > annual_revenue_range, 2022-04-13 05:22:21 normalization > calendly_question_10, 2022-04-13 05:22:21 normalization > hs_additional_emails, 2022-04-13 05:22:21 normalization > hs_analytics_revenue, 2022-04-13 05:22:21 normalization > hs_count_is_unworked, 2022-04-13 05:22:21 normalization > hs_date_entered_lead, 2022-04-13 05:22:21 normalization > hs_date_exited_other, 2022-04-13 05:22:21 normalization > hs_email_bad_address, 2022-04-13 05:22:21 normalization > hs_email_quarantined, 2022-04-13 05:22:21 normalization > hs_facebook_click_id, 2022-04-13 05:22:21 normalization > hs_marketable_status, 2022-04-13 05:22:21 normalization > hs_merged_object_ids, 2022-04-13 05:22:21 normalization > is_prior_liquidation, 2022-04-13 05:22:21 normalization > notes_last_contacted, 2022-04-13 05:22:21 normalization > num_associated_deals, 2022-04-13 05:22:21 normalization > quel_est_ton_mtier__, 2022-04-13 05:22:21 normalization > date_debut_d_activite, 2022-04-13 05:22:21 normalization > first_conversion_date, 2022-04-13 05:22:21 normalization > hs_analytics_last_url, 2022-04-13 05:22:21 normalization > hs_created_by_user_id, 2022-04-13 05:22:21 normalization > hs_date_entered_other, 2022-04-13 05:22:21 normalization > hs_time_in_evangelist, 2022-04-13 05:22:21 normalization > hs_time_in_subscriber, 2022-04-13 05:22:21 normalization > hs_updated_by_user_id, 2022-04-13 05:22:21 normalization > je_souhaite_emprunter, 2022-04-13 05:22:21 normalization > legal_status_specific, 2022-04-13 05:22:21 normalization > loan_purpose_detailed, 2022-04-13 05:22:21 normalization > loan_purpose_referral, 2022-04-13 05:22:21 normalization > num_conversion_events, 2022-04-13 05:22:21 normalization > date_last_stage_change, 2022-04-13 05:22:21 normalization > hs_analytics_first_url, 2022-04-13 05:22:21 normalization > hs_email_is_ineligible, 2022-04-13 05:22:21 normalization > hs_facebook_ad_clicked, 2022-04-13 05:22:21 normalization > hs_time_in_opportunity, 2022-04-13 05:22:21 normalization > hs_unique_creation_key, 2022-04-13 05:22:21 normalization > last_used_aircall_tags, 2022-04-13 05:22:21 normalization > partenaire_acquisition, 2022-04-13 05:22:21 normalization > recent_conversion_date, 2022-04-13 05:22:21 normalization > recent_deal_close_date, 2022-04-13 05:22:21 normalization > first_deal_created_date, 2022-04-13 05:22:21 normalization > hs_analytics_num_visits, 2022-04-13 05:22:21 normalization > hs_date_exited_customer, 2022-04-13 05:22:21 normalization > hs_email_last_open_date, 2022-04-13 05:22:21 normalization > hs_email_last_send_date, 2022-04-13 05:22:21 normalization > hs_email_optout_7952515, 2022-04-13 05:22:21 normalization > hs_email_optout_8055707, 2022-04-13 05:22:21 normalization > hs_latest_source_data_1, 2022-04-13 05:22:21 normalization > hs_latest_source_data_2, 2022-04-13 05:22:21 normalization > hs_marketable_reason_id, 2022-04-13 05:22:21 normalization > is_majority_shareholder, 2022-04-13 05:22:21 normalization > owner_direct_phone_line, 2022-04-13 05:22:21 normalization > user_id_dashboard_mansa, 2022-04-13 05:22:21 normalization > webinareventlastupdated, 2022-04-13 05:22:21 normalization > whatsapp_campaign_jan22, 2022-04-13 05:22:21 normalization > hs_date_entered_customer, 2022-04-13 05:22:21 normalization > hs_email_first_open_date, 2022-04-13 05:22:21 normalization > hs_email_first_send_date, 2022-04-13 05:22:21 normalization > hs_email_last_click_date, 2022-04-13 05:22:21 normalization > hs_email_last_email_name, 2022-04-13 05:22:21 normalization > hs_email_last_reply_date, 2022-04-13 05:22:21 normalization > hs_email_optout_11048289, 2022-04-13 05:22:21 normalization > hs_email_optout_11942039, 2022-04-13 05:22:21 normalization > hs_email_optout_12021788, 2022-04-13 05:22:21 normalization > hs_sequences_is_enrolled, 2022-04-13 05:22:21 normalization > notes_next_activity_date, 2022-04-13 05:22:21 normalization > date_last_incomplete_call, 2022-04-13 05:22:21 normalization > emaildomainisfreeprovider, 2022-04-13 05:22:21 normalization > hs_avatar_filemanager_key, 2022-04-13 05:22:21 normalization > hs_calculated_merged_vids, 2022-04-13 05:22:21 normalization > hs_date_exited_evangelist, 2022-04-13 05:22:21 normalization > hs_date_exited_subscriber, 2022-04-13 05:22:21 normalization > hs_email_first_click_date, 2022-04-13 05:22:21 normalization > hs_email_first_reply_date, 2022-04-13 05:22:21 normalization > hs_marketable_reason_type, 2022-04-13 05:22:21 normalization > hs_user_ids_of_all_owners, 2022-04-13 05:22:21 normalization > last_aircall_call_outcome, 2022-04-13 05:22:21 normalization > looti_scoring_explanation, 2022-04-13 05:22:21 normalization > hs_all_accessible_team_ids, 2022-04-13 05:22:21 normalization > hs_analytics_last_referrer, 2022-04-13 05:22:21 normalization > hs_analytics_source_data_1, 2022-04-13 05:22:21 normalization > hs_analytics_source_data_2, 2022-04-13 05:22:21 normalization > hs_calculated_phone_number, 2022-04-13 05:22:21 normalization > hs_date_entered_evangelist, 2022-04-13 05:22:21 normalization > hs_date_entered_subscriber, 2022-04-13 05:22:21 normalization > hs_date_exited_opportunity, 2022-04-13 05:22:21 normalization > hs_document_last_revisited, 2022-04-13 05:22:21 normalization > hs_emailconfirmationstatus, 2022-04-13 05:22:21 normalization > hs_has_active_subscription, 2022-04-13 05:22:21 normalization > hs_latest_meeting_activity, 2022-04-13 05:22:21 normalization > hs_sales_email_last_opened, 2022-04-13 05:22:21 normalization > hubspot_owner_assigneddate, 2022-04-13 05:22:21 normalization > linkedin_relationship_date, 2022-04-13 05:22:21 normalization > tmp_jerem_register_payload, 2022-04-13 05:22:21 normalization > first_conversion_event_name, 2022-04-13 05:22:21 normalization > hs_analytics_first_referrer, 2022-04-13 05:22:21 normalization > hs_analytics_last_timestamp, 2022-04-13 05:22:21 normalization > hs_analytics_num_page_views, 2022-04-13 05:22:21 normalization > hs_calculated_mobile_number, 2022-04-13 05:22:21 normalization > hs_content_membership_notes, 2022-04-13 05:22:21 normalization > hs_created_by_conversations, 2022-04-13 05:22:21 normalization > hs_date_entered_opportunity, 2022-04-13 05:22:21 normalization > hs_email_hard_bounce_reason, 2022-04-13 05:22:21 normalization > hs_email_quarantined_reason, 2022-04-13 05:22:21 normalization > hs_last_sales_activity_date, 2022-04-13 05:22:21 normalization > hs_latest_sequence_enrolled, 2022-04-13 05:22:21 normalization > hs_lifecyclestage_lead_date, 2022-04-13 05:22:21 normalization > hs_marketable_until_renewal, 2022-04-13 05:22:21 normalization > hs_sa_first_engagement_date, 2022-04-13 05:22:21 normalization > hs_sales_email_last_clicked, 2022-04-13 05:22:21 normalization > hs_sales_email_last_replied, 2022-04-13 05:22:21 normalization > hs_sequences_enrolled_count, 2022-04-13 05:22:21 normalization > hs_time_to_first_engagement, 2022-04-13 05:22:21 normalization > linkedin_neodeal_manual_msg, 2022-04-13 05:22:21 normalization > associatedcompanylastupdated, 2022-04-13 05:22:21 normalization > hs_analytics_first_timestamp, 2022-04-13 05:22:21 normalization > hs_content_membership_status, 2022-04-13 05:22:21 normalization > hs_lifecyclestage_other_date, 2022-04-13 05:22:21 normalization > hs_sa_first_engagement_descr, 2022-04-13 05:22:21 normalization > num_unique_conversion_events, 2022-04-13 05:22:21 normalization > recent_conversion_event_name, 2022-04-13 05:22:21 normalization > surveymonkeyeventlastupdated, 2022-04-13 05:22:21 normalization > hellosign_awaiting_signature2, 2022-04-13 05:22:21 normalization > hs_first_engagement_object_id, 2022-04-13 05:22:21 normalization > hs_latest_sequence_ended_date, 2022-04-13 05:22:21 normalization > hs_time_in_salesqualifiedlead, 2022-04-13 05:22:21 normalization > hs_calculated_form_submissions, 2022-04-13 05:22:21 normalization > hs_conversations_visitor_email, 2022-04-13 05:22:21 normalization > last_used_aircall_phone_number, 2022-04-13 05:22:21 normalization > source_d_affiliation_des_leads, 2022-04-13 05:22:21 normalization > statut_juridique_d_independant, 2022-04-13 05:22:21 normalization > engagements_last_meeting_booked, 2022-04-13 05:22:21 normalization > hs_analytics_average_page_views, 2022-04-13 05:22:21 normalization > hs_lifecyclestage_customer_date, 2022-04-13 05:22:21 normalization > hs_support_workflows_april_2021, 2022-04-13 05:22:21 normalization > hs_email_hard_bounce_reason_enum, 2022-04-13 05:22:21 normalization > hs_last_sales_activity_timestamp, 2022-04-13 05:22:21 normalization > hs_latest_sequence_enrolled_date, 2022-04-13 05:22:21 normalization > hs_latest_sequence_finished_date, 2022-04-13 05:22:21 normalization > grce__mansa_tu_voudrais_emprunter, 2022-04-13 05:22:21 normalization > hs_analytics_last_visit_timestamp, 2022-04-13 05:22:21 normalization > hs_date_exited_salesqualifiedlead, 2022-04-13 05:22:21 normalization > hs_first_subscription_create_date, 2022-04-13 05:22:21 normalization > hs_lifecyclestage_evangelist_date, 2022-04-13 05:22:21 normalization > hs_lifecyclestage_subscriber_date, 2022-04-13 05:22:21 normalization > hs_time_in_marketingqualifiedlead, 2022-04-13 05:22:21 normalization > quel_est__ton_statut_dindpendant_, 2022-04-13 05:22:21 normalization > hs_analytics_first_visit_timestamp, 2022-04-13 05:22:21 normalization > hs_analytics_num_event_completions, 2022-04-13 05:22:21 normalization > hs_date_entered_salesqualifiedlead, 2022-04-13 05:22:21 normalization > hs_latest_sequence_unenrolled_date, 2022-04-13 05:22:21 normalization > hs_latest_subscription_create_date, 2022-04-13 05:22:21 normalization > hs_lifecyclestage_opportunity_date, 2022-04-13 05:22:21 normalization > hs_sa_first_engagement_object_type, 2022-04-13 05:22:21 normalization > hs_content_membership_registered_at, 2022-04-13 05:22:21 normalization > hs_calculated_phone_number_area_code, 2022-04-13 05:22:21 normalization > hs_email_customer_quarantined_reason, 2022-04-13 05:22:21 normalization > hs_email_sends_since_last_engagement, 2022-04-13 05:22:21 normalization > hs_sequences_actively_enrolled_count, 2022-04-13 05:22:21 normalization > hs_content_membership_email_confirmed, 2022-04-13 05:22:21 normalization > hs_date_exited_marketingqualifiedlead, 2022-04-13 05:22:21 normalization > hs_searchable_calculated_phone_number, 2022-04-13 05:22:21 normalization > hs_time_to_move_from_lead_to_customer, 2022-04-13 05:22:21 normalization > engagements_last_meeting_booked_medium, 2022-04-13 05:22:21 normalization > engagements_last_meeting_booked_source, 2022-04-13 05:22:21 normalization > hs_calculated_phone_number_region_code, 2022-04-13 05:22:21 normalization > hs_date_entered_marketingqualifiedlead, 2022-04-13 05:22:21 normalization > hs_searchable_calculated_mobile_number, 2022-04-13 05:22:21 normalization > hs_calculated_phone_number_country_code, 2022-04-13 05:22:21 normalization > engagements_last_meeting_booked_campaign, 2022-04-13 05:22:21 normalization > hs_lifecyclestage_salesqualifiedlead_date, 2022-04-13 05:22:21 normalization > hs_user_ids_of_all_notification_followers, 2022-04-13 05:22:21 normalization > hs_analytics_last_touch_converting_campaign, 2022-04-13 05:22:21 normalization > hs_time_to_move_from_subscriber_to_customer, 2022-04-13 05:22:21 normalization > hs_user_ids_of_all_notification_unfollowers, 2022-04-13 05:22:21 normalization > hs_analytics_first_touch_converting_campaign, 2022-04-13 05:22:21 normalization > hs_time_to_move_from_opportunity_to_customer, 2022-04-13 05:22:21 normalization > hs_lifecyclestage_marketingqualifiedlead_date, 2022-04-13 05:22:21 normalization > hs_time_between_contact_creation_and_deal_close, 2022-04-13 05:22:21 normalization > hs_content_membership_registration_email_sent_at, 2022-04-13 05:22:21 normalization > hs_content_membership_registration_domain_sent_to, 2022-04-13 05:22:21 normalization > hs_time_between_contact_creation_and_deal_creation, 2022-04-13 05:22:21 normalization > hs_searchable_calculated_international_phone_number, 2022-04-13 05:22:21 normalization > hs_time_to_move_from_salesqualifiedlead_to_customer, 2022-04-13 05:22:21 normalization > hs_searchable_calculated_international_mobile_number, 2022-04-13 05:22:21 normalization > d_ou_viens_tu___decris_nous_ton_parcours_d_independant, 2022-04-13 05:22:21 normalization > hs_time_to_move_from_marketingqualifiedlead_to_customer, 2022-04-13 05:22:21 normalization > nous_avons_maintenant_besoin_de_lanciennet_de_ton_siren, 2022-04-13 05:22:21 normalization > quel_est_ton_chiffre_daffaire_par_mois__une_estimation_suffira_, 2022-04-13 05:22:21 normalization > blog_le_blog_de_mansa_le_prt_professionnel_pour_indpendants_et_tpe_23797705872_subscription, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at, 2022-04-13 05:22:21 normalization > _airbyte_properties_hashid 2022-04-13 05:22:21 normalization > from __dbt__cte__contacts_properties_ab3 2022-04-13 05:22:21 normalization > -- properties at contacts/properties from `mansagroup-datascience`.hubspot_.`contacts` 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > and coalesce( 2022-04-13 05:22:21 normalization > cast(_airbyte_emitted_at as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) >= (select max(cast(_airbyte_emitted_at as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > )) from `mansagroup-datascience`.hubspot_.`contacts_properties`), 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > true) 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > ); 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 05:04:16.721502 [debug] [Thread-1 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:04:16.722145 [info ] [Thread-1 ]: 46 of 77 OK created incremental model hubspot_.line_items_properties.................................................... [MERGE (0.0 rows, 0 processed) in 4.74s] 2022-04-13 05:22:21 normalization > 05:04:16.722603 [debug] [Thread-1 ]: Finished running node model.airbyte_utils.line_items_properties 2022-04-13 05:22:21 normalization > 05:04:16.722810 [debug] [Thread-1 ]: Began running node model.airbyte_utils.forms_displayOptions_style_ab1 2022-04-13 05:22:21 normalization > 05:04:16.723367 [debug] [Thread-1 ]: Acquiring new bigquery connection "model.airbyte_utils.forms_displayOptions_style_ab1" 2022-04-13 05:22:21 normalization > 05:04:16.723552 [debug] [Thread-1 ]: Began compiling node model.airbyte_utils.forms_displayOptions_style_ab1 2022-04-13 05:22:21 normalization > 05:04:16.723710 [debug] [Thread-1 ]: Compiling model.airbyte_utils.forms_displayOptions_style_ab1 2022-04-13 05:22:21 normalization > 05:04:16.824971 [debug] [Thread-1 ]: Writing injected SQL for node "model.airbyte_utils.forms_displayOptions_style_ab1" 2022-04-13 05:22:21 normalization > 05:04:16.825384 [debug] [Thread-1 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:04:16.825792 [debug] [Thread-1 ]: Finished running node model.airbyte_utils.forms_displayOptions_style_ab1 2022-04-13 05:22:21 normalization > 05:04:16.826017 [debug] [Thread-1 ]: Began running node model.airbyte_utils.forms_fieldGroups_fields_ab1 2022-04-13 05:22:21 normalization > 05:04:16.826556 [debug] [Thread-1 ]: Acquiring new bigquery connection "model.airbyte_utils.forms_fieldGroups_fields_ab1" 2022-04-13 05:22:21 normalization > 05:04:16.826889 [debug] [Thread-1 ]: Began compiling node model.airbyte_utils.forms_fieldGroups_fields_ab1 2022-04-13 05:22:21 normalization > 05:04:16.827057 [debug] [Thread-1 ]: Compiling model.airbyte_utils.forms_fieldGroups_fields_ab1 2022-04-13 05:22:21 normalization > 05:04:16.838073 [debug] [Thread-1 ]: Writing injected SQL for node "model.airbyte_utils.forms_fieldGroups_fields_ab1" 2022-04-13 05:22:21 normalization > 05:04:16.838411 [debug] [Thread-1 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:04:16.838768 [debug] [Thread-1 ]: Finished running node model.airbyte_utils.forms_fieldGroups_fields_ab1 2022-04-13 05:22:21 normalization > 05:04:16.838982 [debug] [Thread-1 ]: Began running node model.airbyte_utils.ticket_pipelines_stages_metadata_ab1 2022-04-13 05:22:21 normalization > 05:04:16.839345 [debug] [Thread-1 ]: Finished running node model.airbyte_utils.ticket_pipelines_stages_metadata_ab1 2022-04-13 05:22:21 normalization > 05:04:16.839625 [debug] [Thread-1 ]: Began running node model.airbyte_utils.products_properties 2022-04-13 05:22:21 normalization > 05:04:16.840008 [info ] [Thread-1 ]: 48 of 77 START incremental model hubspot_.products_properties........................................................... [RUN] 2022-04-13 05:22:21 normalization > 05:04:16.840619 [debug] [Thread-1 ]: Acquiring new bigquery connection "model.airbyte_utils.products_properties" 2022-04-13 05:22:21 normalization > 05:04:16.840789 [debug] [Thread-1 ]: Began compiling node model.airbyte_utils.products_properties 2022-04-13 05:22:21 normalization > 05:04:16.840937 [debug] [Thread-1 ]: Compiling model.airbyte_utils.products_properties 2022-04-13 05:22:21 normalization > 05:04:16.847852 [debug] [Thread-1 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:04:16.975235 [debug] [Thread-1 ]: Writing injected SQL for node "model.airbyte_utils.products_properties" 2022-04-13 05:22:21 normalization > 05:04:16.976482 [debug] [Thread-1 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:04:16.978145 [debug] [Thread-1 ]: Began executing node model.airbyte_utils.products_properties 2022-04-13 05:22:21 normalization > 05:04:17.037648 [debug] [Thread-1 ]: On model.airbyte_utils.products_properties: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.products_properties"} */ 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > create or replace table `mansagroup-datascience`.hubspot_.`products_properties__dbt_tmp` 2022-04-13 05:22:21 normalization > partition by timestamp_trunc(_airbyte_emitted_at, day) 2022-04-13 05:22:21 normalization > cluster by _airbyte_emitted_at 2022-04-13 05:22:21 normalization > OPTIONS( 2022-04-13 05:22:21 normalization > expiration_timestamp=TIMESTAMP_ADD(CURRENT_TIMESTAMP(), INTERVAL 12 hour) 2022-04-13 05:22:21 normalization > ) 2022-04-13 05:22:21 normalization > as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > with __dbt__cte__products_properties_ab1 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema 2022-04-13 05:22:21 normalization > -- depends_on: `mansagroup-datascience`.hubspot_.`products` 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > _airbyte_products_hashid, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['tax']") as tax, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['name']") as name, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['price']") as price, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['amount']") as amount, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_sku']") as hs_sku, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_url']") as hs_url, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['discount']") as discount, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['quantity']") as quantity, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_images']") as hs_images, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['createdate']") as createdate, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['description']") as description, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_folder_id']") as hs_folder_id, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_object_id']") as hs_object_id, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_price_eur']") as hs_price_eur, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_createdate']") as hs_createdate, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_lastmodifieddate']") as hs_lastmodifieddate, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_merged_object_ids']") as hs_merged_object_ids, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_cost_of_goods_sold']") as hs_cost_of_goods_sold, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_created_by_user_id']") as hs_created_by_user_id, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_updated_by_user_id']") as hs_updated_by_user_id, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_discount_percentage']") as hs_discount_percentage, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_unique_creation_key']") as hs_unique_creation_key, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_avatar_filemanager_key']") as hs_avatar_filemanager_key, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_user_ids_of_all_owners']") as hs_user_ids_of_all_owners, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['recurringbillingfrequency']") as recurringbillingfrequency, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_all_accessible_team_ids']") as hs_all_accessible_team_ids, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_recurring_billing_period']") as hs_recurring_billing_period, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_recurring_billing_start_date']") as hs_recurring_billing_start_date, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_all_assigned_business_unit_ids']") as hs_all_assigned_business_unit_ids, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_user_ids_of_all_notification_followers']") as hs_user_ids_of_all_notification_followers, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_user_ids_of_all_notification_unfollowers']") as hs_user_ids_of_all_notification_unfollowers, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:21 normalization > from `mansagroup-datascience`.hubspot_.`products` as table_alias 2022-04-13 05:22:21 normalization > -- properties at products/properties 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > and properties is not null 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > ), __dbt__cte__products_properties_ab2 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__products_properties_ab1 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > _airbyte_products_hashid, 2022-04-13 05:22:21 normalization > cast(tax as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as tax, 2022-04-13 05:22:21 normalization > cast(name as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as name, 2022-04-13 05:22:21 normalization > cast(price as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as price, 2022-04-13 05:22:21 normalization > cast(amount as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as amount, 2022-04-13 05:22:21 normalization > cast(hs_sku as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_sku, 2022-04-13 05:22:21 normalization > cast(hs_url as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_url, 2022-04-13 05:22:21 normalization > cast(discount as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as discount, 2022-04-13 05:22:21 normalization > cast(quantity as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as quantity, 2022-04-13 05:22:21 normalization > cast(hs_images as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_images, 2022-04-13 05:22:21 normalization > cast(nullif(createdate, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as createdate, 2022-04-13 05:22:21 normalization > cast(description as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as description, 2022-04-13 05:22:21 normalization > cast(hs_folder_id as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_folder_id, 2022-04-13 05:22:21 normalization > cast(hs_object_id as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_object_id, 2022-04-13 05:22:21 normalization > cast(hs_price_eur as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_price_eur, 2022-04-13 05:22:21 normalization > cast(nullif(hs_createdate, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_createdate, 2022-04-13 05:22:21 normalization > cast(nullif(hs_lastmodifieddate, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_lastmodifieddate, 2022-04-13 05:22:21 normalization > cast(hs_merged_object_ids as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_merged_object_ids, 2022-04-13 05:22:21 normalization > cast(hs_cost_of_goods_sold as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_cost_of_goods_sold, 2022-04-13 05:22:21 normalization > cast(hs_created_by_user_id as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_created_by_user_id, 2022-04-13 05:22:21 normalization > cast(hs_updated_by_user_id as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_updated_by_user_id, 2022-04-13 05:22:21 normalization > cast(hs_discount_percentage as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_discount_percentage, 2022-04-13 05:22:21 normalization > cast(hs_unique_creation_key as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_unique_creation_key, 2022-04-13 05:22:21 normalization > cast(hs_avatar_filemanager_key as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_avatar_filemanager_key, 2022-04-13 05:22:21 normalization > cast(hs_user_ids_of_all_owners as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_user_ids_of_all_owners, 2022-04-13 05:22:21 normalization > cast(recurringbillingfrequency as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as recurringbillingfrequency, 2022-04-13 05:22:21 normalization > cast(hs_all_accessible_team_ids as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_all_accessible_team_ids, 2022-04-13 05:22:21 normalization > cast(hs_recurring_billing_period as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_recurring_billing_period, 2022-04-13 05:22:21 normalization > cast(nullif(hs_recurring_billing_start_date, '') as 2022-04-13 05:22:21 normalization > date 2022-04-13 05:22:21 normalization > ) as hs_recurring_billing_start_date, 2022-04-13 05:22:21 normalization > cast(hs_all_assigned_business_unit_ids as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_all_assigned_business_unit_ids, 2022-04-13 05:22:21 normalization > cast(hs_user_ids_of_all_notification_followers as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_user_ids_of_all_notification_followers, 2022-04-13 05:22:21 normalization > cast(hs_user_ids_of_all_notification_unfollowers as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_user_ids_of_all_notification_unfollowers, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:21 normalization > from __dbt__cte__products_properties_ab1 2022-04-13 05:22:21 normalization > -- properties at products/properties 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > ), __dbt__cte__products_properties_ab3 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to build a hash column based on the values of this record 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__products_properties_ab2 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > to_hex(md5(cast(concat(coalesce(cast(_airbyte_products_hashid as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(tax as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(name as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(price as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(amount as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_sku as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_url as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(discount as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(quantity as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_images as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(createdate as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(description as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_folder_id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_object_id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_price_eur as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_createdate as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_lastmodifieddate as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_merged_object_ids as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_cost_of_goods_sold as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_created_by_user_id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_updated_by_user_id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_discount_percentage as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_unique_creation_key as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_avatar_filemanager_key as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_user_ids_of_all_owners as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(recurringbillingfrequency as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_all_accessible_team_ids as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_recurring_billing_period as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_recurring_billing_start_date as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_all_assigned_business_unit_ids as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_user_ids_of_all_notification_followers as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_user_ids_of_all_notification_unfollowers as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), '')) as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ))) as _airbyte_properties_hashid, 2022-04-13 05:22:21 normalization > tmp.* 2022-04-13 05:22:21 normalization > from __dbt__cte__products_properties_ab2 tmp 2022-04-13 05:22:21 normalization > -- properties at products/properties 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > )-- Final base SQL model 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__products_properties_ab3 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > _airbyte_products_hashid, 2022-04-13 05:22:21 normalization > tax, 2022-04-13 05:22:21 normalization > name, 2022-04-13 05:22:21 normalization > price, 2022-04-13 05:22:21 normalization > amount, 2022-04-13 05:22:21 normalization > hs_sku, 2022-04-13 05:22:21 normalization > hs_url, 2022-04-13 05:22:21 normalization > discount, 2022-04-13 05:22:21 normalization > quantity, 2022-04-13 05:22:21 normalization > hs_images, 2022-04-13 05:22:21 normalization > createdate, 2022-04-13 05:22:21 normalization > description, 2022-04-13 05:22:21 normalization > hs_folder_id, 2022-04-13 05:22:21 normalization > hs_object_id, 2022-04-13 05:22:21 normalization > hs_price_eur, 2022-04-13 05:22:21 normalization > hs_createdate, 2022-04-13 05:22:21 normalization > hs_lastmodifieddate, 2022-04-13 05:22:21 normalization > hs_merged_object_ids, 2022-04-13 05:22:21 normalization > hs_cost_of_goods_sold, 2022-04-13 05:22:21 normalization > hs_created_by_user_id, 2022-04-13 05:22:21 normalization > hs_updated_by_user_id, 2022-04-13 05:22:21 normalization > hs_discount_percentage, 2022-04-13 05:22:21 normalization > hs_unique_creation_key, 2022-04-13 05:22:21 normalization > hs_avatar_filemanager_key, 2022-04-13 05:22:21 normalization > hs_user_ids_of_all_owners, 2022-04-13 05:22:21 normalization > recurringbillingfrequency, 2022-04-13 05:22:21 normalization > hs_all_accessible_team_ids, 2022-04-13 05:22:21 normalization > hs_recurring_billing_period, 2022-04-13 05:22:21 normalization > hs_recurring_billing_start_date, 2022-04-13 05:22:21 normalization > hs_all_assigned_business_unit_ids, 2022-04-13 05:22:21 normalization > hs_user_ids_of_all_notification_followers, 2022-04-13 05:22:21 normalization > hs_user_ids_of_all_notification_unfollowers, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at, 2022-04-13 05:22:21 normalization > _airbyte_properties_hashid 2022-04-13 05:22:21 normalization > from __dbt__cte__products_properties_ab3 2022-04-13 05:22:21 normalization > -- properties at products/properties from `mansagroup-datascience`.hubspot_.`products` 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > and coalesce( 2022-04-13 05:22:21 normalization > cast(_airbyte_emitted_at as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) >= (select max(cast(_airbyte_emitted_at as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > )) from `mansagroup-datascience`.hubspot_.`products_properties`), 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > true) 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > ); 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 05:04:17.112224 [debug] [Thread-8 ]: 2022-04-13 05:22:21 normalization > In `mansagroup-datascience`.`hubspot_`.`engagements_meetings_properties`: 2022-04-13 05:22:21 normalization > Schema changed: False 2022-04-13 05:22:21 normalization > Source columns not in target: [] 2022-04-13 05:22:21 normalization > Target columns not in source: [] 2022-04-13 05:22:21 normalization > New column types: [] 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 05:04:17.113965 [debug] [Thread-8 ]: Writing runtime SQL for node "model.airbyte_utils.engagements_meetings_properties" 2022-04-13 05:22:21 normalization > 05:04:17.114354 [debug] [Thread-8 ]: On model.airbyte_utils.engagements_meetings_properties: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.engagements_meetings_properties"} */ 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > merge into `mansagroup-datascience`.hubspot_.`engagements_meetings_properties` as DBT_INTERNAL_DEST 2022-04-13 05:22:21 normalization > using ( 2022-04-13 05:22:21 normalization > select * from `mansagroup-datascience`.hubspot_.`engagements_meetings_properties__dbt_tmp` 2022-04-13 05:22:21 normalization > ) as DBT_INTERNAL_SOURCE 2022-04-13 05:22:21 normalization > on FALSE 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > when not matched then insert 2022-04-13 05:22:21 normalization > (`_airbyte_engagements_meetings_hashid`, `hs_i_cal_uid`, `hs_object_id`, `hs_timestamp`, `hs_unique_id`, `hs_created_by`, `hs_createdate`, `hs_modified_by`, `hs_all_team_ids`, `hs_body_preview`, `hs_gdpr_deleted`, `hs_meeting_body`, `hs_product_name`, `hubspot_team_id`, `hs_activity_type`, `hs_all_owner_ids`, `hs_meeting_title`, `hubspot_owner_id`, `hs_attachment_ids`, `hs_meeting_source`, `hs_meeting_outcome`, `hs_scheduled_tasks`, `hs_follow_up_action`, `hs_lastmodifieddate`, `hs_meeting_end_time`, `hs_meeting_location`, `hs_body_preview_html`, `hs_engagement_source`, `hs_meeting_change_id`, `hs_meeting_source_id`, `hs_merged_object_ids`, `hs_attendee_owner_ids`, `hs_created_by_user_id`, `hs_meeting_start_time`, `hs_updated_by_user_id`, `hs_unique_creation_key`, `hs_engagement_source_id`, `hs_meeting_external_url`, `hs_queue_membership_ids`, `hs_meeting_location_type`, `hs_at_mentioned_owner_ids`, `hs_internal_meeting_notes`, `hs_user_ids_of_all_owners`, `hs_all_accessible_team_ids`, `hubspot_owner_assigneddate`, `hs_body_preview_is_truncated`, `hs_meeting_calendar_event_hash`, `hs_meeting_created_from_link_id`, `hs_all_assigned_business_unit_ids`, `hs_meeting_web_conference_meeting_id`, `hs_meeting_pre_meeting_prospect_reminders`, `hs_user_ids_of_all_notification_followers`, `hs_user_ids_of_all_notification_unfollowers`, `_airbyte_ab_id`, `_airbyte_emitted_at`, `_airbyte_normalized_at`, `_airbyte_properties_hashid`) 2022-04-13 05:22:21 normalization > values 2022-04-13 05:22:21 normalization > (`_airbyte_engagements_meetings_hashid`, `hs_i_cal_uid`, `hs_object_id`, `hs_timestamp`, `hs_unique_id`, `hs_created_by`, `hs_createdate`, `hs_modified_by`, `hs_all_team_ids`, `hs_body_preview`, `hs_gdpr_deleted`, `hs_meeting_body`, `hs_product_name`, `hubspot_team_id`, `hs_activity_type`, `hs_all_owner_ids`, `hs_meeting_title`, `hubspot_owner_id`, `hs_attachment_ids`, `hs_meeting_source`, `hs_meeting_outcome`, `hs_scheduled_tasks`, `hs_follow_up_action`, `hs_lastmodifieddate`, `hs_meeting_end_time`, `hs_meeting_location`, `hs_body_preview_html`, `hs_engagement_source`, `hs_meeting_change_id`, `hs_meeting_source_id`, `hs_merged_object_ids`, `hs_attendee_owner_ids`, `hs_created_by_user_id`, `hs_meeting_start_time`, `hs_updated_by_user_id`, `hs_unique_creation_key`, `hs_engagement_source_id`, `hs_meeting_external_url`, `hs_queue_membership_ids`, `hs_meeting_location_type`, `hs_at_mentioned_owner_ids`, `hs_internal_meeting_notes`, `hs_user_ids_of_all_owners`, `hs_all_accessible_team_ids`, `hubspot_owner_assigneddate`, `hs_body_preview_is_truncated`, `hs_meeting_calendar_event_hash`, `hs_meeting_created_from_link_id`, `hs_all_assigned_business_unit_ids`, `hs_meeting_web_conference_meeting_id`, `hs_meeting_pre_meeting_prospect_reminders`, `hs_user_ids_of_all_notification_followers`, `hs_user_ids_of_all_notification_unfollowers`, `_airbyte_ab_id`, `_airbyte_emitted_at`, `_airbyte_normalized_at`, `_airbyte_properties_hashid`) 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 05:04:18.356568 [debug] [Thread-7 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:04:18.357191 [info ] [Thread-7 ]: 6 of 77 OK created incremental model hubspot_.engagements_emails........................................................ [MERGE (108.2k rows, 1.9 GB processed) in 73.48s] 2022-04-13 05:22:21 normalization > 05:04:18.357643 [debug] [Thread-7 ]: Finished running node model.airbyte_utils.engagements_emails 2022-04-13 05:22:21 normalization > 05:04:18.357845 [debug] [Thread-7 ]: Began running node model.airbyte_utils.marketing_emails_stats_counters_ab1 2022-04-13 05:22:21 normalization > 05:04:18.358418 [debug] [Thread-7 ]: Acquiring new bigquery connection "model.airbyte_utils.marketing_emails_stats_counters_ab1" 2022-04-13 05:22:21 normalization > 05:04:18.358758 [debug] [Thread-7 ]: Began compiling node model.airbyte_utils.marketing_emails_stats_counters_ab1 2022-04-13 05:22:21 normalization > 05:04:18.358934 [debug] [Thread-7 ]: Compiling model.airbyte_utils.marketing_emails_stats_counters_ab1 2022-04-13 05:22:21 normalization > 05:04:18.373100 [debug] [Thread-7 ]: Writing injected SQL for node "model.airbyte_utils.marketing_emails_stats_counters_ab1" 2022-04-13 05:22:21 normalization > 05:04:18.373458 [debug] [Thread-7 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:04:18.373814 [debug] [Thread-7 ]: Finished running node model.airbyte_utils.marketing_emails_stats_counters_ab1 2022-04-13 05:22:21 normalization > 05:04:18.374025 [debug] [Thread-7 ]: Began running node model.airbyte_utils.marketing_emails_stats_deviceBreakdown_ab1 2022-04-13 05:22:21 normalization > 05:04:18.374520 [debug] [Thread-7 ]: Acquiring new bigquery connection "model.airbyte_utils.marketing_emails_stats_deviceBreakdown_ab1" 2022-04-13 05:22:21 normalization > 05:04:18.374790 [debug] [Thread-7 ]: Began compiling node model.airbyte_utils.marketing_emails_stats_deviceBreakdown_ab1 2022-04-13 05:22:21 normalization > 05:04:18.374976 [debug] [Thread-7 ]: Compiling model.airbyte_utils.marketing_emails_stats_deviceBreakdown_ab1 2022-04-13 05:22:21 normalization > 05:04:18.381358 [debug] [Thread-7 ]: Writing injected SQL for node "model.airbyte_utils.marketing_emails_stats_deviceBreakdown_ab1" 2022-04-13 05:22:21 normalization > 05:04:18.381654 [debug] [Thread-7 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:04:18.381999 [debug] [Thread-7 ]: Finished running node model.airbyte_utils.marketing_emails_stats_deviceBreakdown_ab1 2022-04-13 05:22:21 normalization > 05:04:18.382214 [debug] [Thread-7 ]: Began running node model.airbyte_utils.marketing_emails_stats_ratios_ab1 2022-04-13 05:22:21 normalization > 05:04:18.382744 [debug] [Thread-7 ]: Acquiring new bigquery connection "model.airbyte_utils.marketing_emails_stats_ratios_ab1" 2022-04-13 05:22:21 normalization > 05:04:18.382919 [debug] [Thread-7 ]: Began compiling node model.airbyte_utils.marketing_emails_stats_ratios_ab1 2022-04-13 05:22:21 normalization > 05:04:18.383066 [debug] [Thread-7 ]: Compiling model.airbyte_utils.marketing_emails_stats_ratios_ab1 2022-04-13 05:22:21 normalization > 05:04:18.395306 [debug] [Thread-7 ]: Writing injected SQL for node "model.airbyte_utils.marketing_emails_stats_ratios_ab1" 2022-04-13 05:22:21 normalization > 05:04:18.395603 [debug] [Thread-7 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:04:18.395948 [debug] [Thread-7 ]: Finished running node model.airbyte_utils.marketing_emails_stats_ratios_ab1 2022-04-13 05:22:21 normalization > 05:04:18.396158 [debug] [Thread-7 ]: Began running node model.airbyte_utils.deals_properties 2022-04-13 05:22:21 normalization > 05:04:18.396567 [info ] [Thread-7 ]: 49 of 77 START incremental model hubspot_.deals_properties.............................................................. [RUN] 2022-04-13 05:22:21 normalization > 05:04:18.397143 [debug] [Thread-7 ]: Acquiring new bigquery connection "model.airbyte_utils.deals_properties" 2022-04-13 05:22:21 normalization > 05:04:18.397344 [debug] [Thread-7 ]: Began compiling node model.airbyte_utils.deals_properties 2022-04-13 05:22:21 normalization > 05:04:18.397503 [debug] [Thread-7 ]: Compiling model.airbyte_utils.deals_properties 2022-04-13 05:22:21 normalization > 05:04:18.405259 [debug] [Thread-7 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:21 normalization > 05:04:18.631180 [debug] [Thread-7 ]: Writing injected SQL for node "model.airbyte_utils.deals_properties" 2022-04-13 05:22:21 normalization > 05:04:18.631656 [debug] [Thread-7 ]: finished collecting timing info 2022-04-13 05:22:21 normalization > 05:04:18.631854 [debug] [Thread-7 ]: Began executing node model.airbyte_utils.deals_properties 2022-04-13 05:22:21 normalization > 05:04:18.699497 [debug] [Thread-7 ]: On model.airbyte_utils.deals_properties: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.deals_properties"} */ 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > create or replace table `mansagroup-datascience`.hubspot_.`deals_properties__dbt_tmp` 2022-04-13 05:22:21 normalization > partition by timestamp_trunc(_airbyte_emitted_at, day) 2022-04-13 05:22:21 normalization > cluster by _airbyte_emitted_at 2022-04-13 05:22:21 normalization > OPTIONS( 2022-04-13 05:22:21 normalization > expiration_timestamp=TIMESTAMP_ADD(CURRENT_TIMESTAMP(), INTERVAL 12 hour) 2022-04-13 05:22:21 normalization > ) 2022-04-13 05:22:21 normalization > as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > with __dbt__cte__deals_properties_ab1 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema 2022-04-13 05:22:21 normalization > -- depends_on: `mansagroup-datascience`.hubspot_.`deals` 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > _airbyte_deals_hashid, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['teg']") as teg, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['gift']") as gift, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['mail']") as mail, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['email']") as email, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['amount']") as amount, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_acv']") as hs_acv, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_arr']") as hs_arr, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_mrr']") as hs_mrr, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_tcv']") as hs_tcv, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['metier']") as metier, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['is_test']") as is_test, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['settled']") as settled, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['activite']") as activite, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['date_won']") as date_won, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['dealname']") as dealname, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['dealtype']") as dealtype, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['pipeline']") as pipeline, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['bank_iban']") as bank_iban, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['closedate']") as closedate, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['date_lost']") as date_lost, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['dealstage']") as dealstage, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['formality']") as formality, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['is_french']") as is_french, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['last_name']") as last_name, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['lootscore']") as lootscore, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['num_notes']") as num_notes, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['code_idnow']") as code_idnow, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['createdate']") as createdate, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['deal_score']") as deal_score, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['first_name']") as first_name, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['id_contact']") as id_contact, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['loan_grade']") as loan_grade, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['status_kyc']") as status_kyc, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['utm_medium']") as utm_medium, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['utm_source']") as utm_source, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['amount_fees']") as amount_fees, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['bon_metier_']") as bon_metier_, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['companyname']") as companyname, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['description']") as description, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['fee_trigger']") as fee_trigger, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_campaign']") as hs_campaign, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_priority']") as hs_priority, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['is_eligible']") as is_eligible, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['lead_source']") as lead_source, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['loan_status']") as loan_status, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['lost_reason']") as lost_reason, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['mansa_score']") as mansa_score, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['mensualites']") as mensualites, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['repeat_deal']") as repeat_deal, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['sector_code']") as sector_code, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['underwriter']") as underwriter, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['amount_final']") as amount_final, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['data_missing']") as data_missing, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['date_created']") as date_created, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['date_settled']") as date_settled, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_is_closed']") as hs_is_closed, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_next_step']") as hs_next_step, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_object_id']") as hs_object_id, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['is_completed']") as is_completed, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['is_open_deal']") as is_open_deal, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['legal_status']") as legal_status, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['phone_number']") as phone_number, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['send_to_qard']") as send_to_qard, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['type_de_pret']") as type_de_pret, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['url_calendly']") as url_calendly, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['url_intercom']") as url_intercom, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['utm_campaign']") as utm_campaign, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['annualrevenue']") as annualrevenue, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['customer_bank']") as customer_bank, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['date_approved']") as date_approved, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['date_rejected']") as date_rejected, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['days_to_close']") as days_to_close, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['duree_du_pret']") as duree_du_pret, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['field_of_work']") as field_of_work, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_createdate']") as hs_createdate, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['partner_email']") as partner_email, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['siren_recency']") as siren_recency, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['urgency_level']") as urgency_level, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['url_checklist']") as url_checklist, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['calendly_owner']") as calendly_owner, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['case_reference']") as case_reference, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['date_became_lt']") as date_became_lt, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['date_qualified']") as date_qualified, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['date_submitted']") as date_submitted, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['default_credit']") as default_credit, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['funding_source']") as funding_source, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['is_flagged_bdf']") as is_flagged_bdf, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['is_hard_filter']") as is_hard_filter, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['landing_source']") as landing_source, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['next_step_date']") as next_step_date, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['taux_du_credit']") as taux_du_credit, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['upsale_a_venir']") as upsale_a_venir, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['url_incomplete']") as url_incomplete, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['created_5minago']") as created_5minago, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['declined_reason']") as declined_reason, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['desc_incomplete']") as desc_incomplete, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['duplication_bug']") as duplication_bug, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['duration_months']") as duration_months, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_all_team_ids']") as hs_all_team_ids, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hubspot_team_id']") as hubspot_team_id, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['iseverinloanapp']") as iseverinloanapp, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['legal_structure']") as legal_structure, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['monthly_revenue']") as monthly_revenue, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['owner_firstname']") as owner_firstname, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['owner_shortcode']") as owner_shortcode, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['percentage_fees']") as percentage_fees, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['reechelonnement']") as reechelonnement, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['trigger_message']") as trigger_message, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['url_mansa_admin']") as url_mansa_admin, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['uuid_mansa_loan']") as uuid_mansa_loan, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['uuid_mansa_user']") as uuid_mansa_user, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['withdrawal_link']") as withdrawal_link, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['amount_requested']") as amount_requested, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['automated_emails']") as automated_emails, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['commission_mansa']") as commission_mansa, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['date_in_progress']") as date_in_progress, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['historyreqchange']") as historyreqchange, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_all_owner_ids']") as hs_all_owner_ids, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_closed_amount']") as hs_closed_amount, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_is_closed_won']") as hs_is_closed_won, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hubspot_owner_id']") as hubspot_owner_id, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['is_action_needed']") as is_action_needed, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['partner_products']") as partner_products, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['underwriter_name']") as underwriter_name, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['age_incorporation']") as age_incorporation, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['closed_won_reason']") as closed_won_reason, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['date_docs_missing']") as date_docs_missing, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['external_comments']") as external_comments, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['incomplete_reason']") as incomplete_reason, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['last_stage_change']") as last_stage_change, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['mansa_environment']") as mansa_environment, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['score_transaction']") as score_transaction, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['automation_trigger']") as automation_trigger, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['bank_iban_approved']") as bank_iban_approved, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['closed_lost_reason']") as closed_lost_reason, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['cost_credit_amount']") as cost_credit_amount, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['date_contract_sent']") as date_contract_sent, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['date_incorporation']") as date_incorporation, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['deal_currency_code']") as deal_currency_code, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_forecast_amount']") as hs_forecast_amount, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_time_in_1359639']") as hs_time_in_1359639, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_time_in_1359640']") as hs_time_in_1359640, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_time_in_1498993']") as hs_time_in_1498993, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_time_in_1498994']") as hs_time_in_1498994, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_time_in_1528315']") as hs_time_in_1528315, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_time_in_1528316']") as hs_time_in_1528316, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_time_in_1584718']") as hs_time_in_1584718, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_time_in_1584720']") as hs_time_in_1584720, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_time_in_1584721']") as hs_time_in_1584721, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_time_in_4431530']") as hs_time_in_4431530, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_time_in_9194942']") as hs_time_in_9194942, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_time_in_9197039']") as hs_time_in_9197039, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_time_in_9273281']") as hs_time_in_9273281, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['is_eligible_change']") as is_eligible_change, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['is_resident_france']") as is_resident_france, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['notes_last_updated']") as notes_last_updated, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['prelevement_rejete']") as prelevement_rejete, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['acquisition_partner']") as acquisition_partner, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['amount_max_approved']") as amount_max_approved, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['canal_d_acquisition']") as canal_d_acquisition, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['cost_credit_percent']") as cost_credit_percent, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['date_last_call_task']") as date_last_call_task, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['date_last_repayment']") as date_last_repayment, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_analytics_source']") as hs_analytics_source, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_lastmodifieddate']") as hs_lastmodifieddate, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_predicted_amount']") as hs_predicted_amount, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_projected_amount']") as hs_projected_amount, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_time_in_10719895']") as hs_time_in_10719895, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_time_in_10719896']") as hs_time_in_10719896, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_time_in_10719988']") as hs_time_in_10719988, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_time_in_10810516']") as hs_time_in_10810516, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_time_in_12298746']") as hs_time_in_12298746, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_time_in_12305438']") as hs_time_in_12305438, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_time_in_12445978']") as hs_time_in_12445978, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_time_in_14583984']") as hs_time_in_14583984, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_time_in_15241391']") as hs_time_in_15241391, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_time_in_17617428']") as hs_time_in_17617428, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['loan_term_effective']") as loan_term_effective, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['loan_term_requested']") as loan_term_requested, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['num_contacted_notes']") as num_contacted_notes, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['rate_interest_final']") as rate_interest_final, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['url_customer_folder']") as url_customer_folder, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['url_data_collection']") as url_data_collection, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['amount_total_payable']") as amount_total_payable, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['date_first_repayment']") as date_first_repayment, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_merged_object_ids']") as hs_merged_object_ids, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_time_in_closedwon']") as hs_time_in_closedwon, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['is_prior_liquidation']") as is_prior_liquidation, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['is_timebased_enabled']") as is_timebased_enabled, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['notes_last_contacted']") as notes_last_contacted, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['statut_d_independant']") as statut_d_independant, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['trigger_doc_approved']") as trigger_doc_approved, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['day_monthly_repayment']") as day_monthly_repayment, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['duration_max_approved']") as duration_max_approved, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['duration_months_final']") as duration_months_final, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_created_by_user_id']") as hs_created_by_user_id, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_time_in_closedlost']") as hs_time_in_closedlost, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_updated_by_user_id']") as hs_updated_by_user_id, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['is_lemonway_completed']") as is_lemonway_completed, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['loan_purpose_category']") as loan_purpose_category, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['mthly_installment_max']") as mthly_installment_max, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['trigger_declined_note']") as trigger_declined_note, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['underwriting_declined']") as underwriting_declined, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['amount_first_repayment']") as amount_first_repayment, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['date_de_fermeture_deck']") as date_de_fermeture_deck, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_date_exited_1359639']") as hs_date_exited_1359639, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_date_exited_1359640']") as hs_date_exited_1359640, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_date_exited_1498993']") as hs_date_exited_1498993, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_date_exited_1498994']") as hs_date_exited_1498994, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_date_exited_1528315']") as hs_date_exited_1528315, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_date_exited_1528316']") as hs_date_exited_1528316, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_date_exited_1584718']") as hs_date_exited_1584718, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_date_exited_1584720']") as hs_date_exited_1584720, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_date_exited_1584721']") as hs_date_exited_1584721, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_date_exited_4431530']") as hs_date_exited_4431530, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_date_exited_9194942']") as hs_date_exited_9194942, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_date_exited_9197039']") as hs_date_exited_9197039, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_date_exited_9273281']") as hs_date_exited_9273281, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_likelihood_to_close']") as hs_likelihood_to_close, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_num_target_accounts']") as hs_num_target_accounts, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_unique_creation_key']") as hs_unique_creation_key, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['last_stage_change_days']") as last_stage_change_days, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['partenaire_acquisition']") as partenaire_acquisition, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['remboursement_anticipe']") as remboursement_anticipe, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['trigger_firstname_edit']") as trigger_firstname_edit, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['url_approved_assistant']") as url_approved_assistant, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['amount_in_home_currency']") as amount_in_home_currency, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['data_collection_inbound']") as data_collection_inbound, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['failed_monthly_paiement']") as failed_monthly_paiement, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_date_entered_1359639']") as hs_date_entered_1359639, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_date_entered_1359640']") as hs_date_entered_1359640, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_date_entered_1498993']") as hs_date_entered_1498993, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_date_entered_1498994']") as hs_date_entered_1498994, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_date_entered_1528315']") as hs_date_entered_1528315, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_date_entered_1528316']") as hs_date_entered_1528316, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_date_entered_1584718']") as hs_date_entered_1584718, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_date_entered_1584720']") as hs_date_entered_1584720, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_date_entered_1584721']") as hs_date_entered_1584721, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_date_entered_4431530']") as hs_date_entered_4431530, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_date_entered_9194942']") as hs_date_entered_9194942, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_date_entered_9197039']") as hs_date_entered_9197039, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_date_entered_9273281']") as hs_date_entered_9273281, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_date_exited_10719895']") as hs_date_exited_10719895, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_date_exited_10719896']") as hs_date_exited_10719896, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_date_exited_10719988']") as hs_date_exited_10719988, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_date_exited_10810516']") as hs_date_exited_10810516, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_date_exited_12298746']") as hs_date_exited_12298746, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_date_exited_12305438']") as hs_date_exited_12305438, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_date_exited_12445978']") as hs_date_exited_12445978, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_date_exited_14583984']") as hs_date_exited_14583984, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_date_exited_15241391']") as hs_date_exited_15241391, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_date_exited_17617428']") as hs_date_exited_17617428, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_forecast_probability']") as hs_forecast_probability, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_time_in_contractsent']") as hs_time_in_contractsent, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['is_majority_shareholder']") as is_majority_shareholder, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['num_associated_contacts']") as num_associated_contacts, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['owner_direct_phone_line']") as owner_direct_phone_line, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['preferred_field_of_work']") as preferred_field_of_work, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['reject_explanation_html']") as reject_explanation_html, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['amount_monthly_repayment']") as amount_monthly_repayment, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['bank_account_holder_name']") as bank_account_holder_name, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['bank_identification_code']") as bank_identification_code, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['calculation_fees_payable']") as calculation_fees_payable, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['date_application_pending']") as date_application_pending, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_date_entered_10719895']") as hs_date_entered_10719895, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_date_entered_10719896']") as hs_date_entered_10719896, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_date_entered_10719988']") as hs_date_entered_10719988, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_date_entered_10810516']") as hs_date_entered_10810516, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_date_entered_12298746']") as hs_date_entered_12298746, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_date_entered_12305438']") as hs_date_entered_12305438, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_date_entered_12445978']") as hs_date_entered_12445978, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_date_entered_14583984']") as hs_date_entered_14583984, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_date_entered_15241391']") as hs_date_entered_15241391, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_date_entered_17617428']") as hs_date_entered_17617428, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_date_exited_closedwon']") as hs_date_exited_closedwon, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['legal_structure_specific']") as legal_structure_specific, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['mensualites_recues_vrai_']") as mensualites_recues_vrai_, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['notes_next_activity_date']") as notes_next_activity_date, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['number_of_failed_payment']") as number_of_failed_payment, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['reason_for_debit_failure']") as reason_for_debit_failure, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['trigger_create_checklist']") as trigger_create_checklist, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_date_entered_closedwon']") as hs_date_entered_closedwon, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_date_exited_closedlost']") as hs_date_exited_closedlost, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_deal_stage_probability']") as hs_deal_stage_probability, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_time_in_qualifiedtobuy']") as hs_time_in_qualifiedtobuy, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_user_ids_of_all_owners']") as hs_user_ids_of_all_owners, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['looti_scoring_explanation']") as looti_scoring_explanation, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['number_legal_registration']") as number_legal_registration, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['statut_juridique_confirme']") as statut_juridique_confirme, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['amount_gross_revenue_mansa']") as amount_gross_revenue_mansa, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_all_accessible_team_ids']") as hs_all_accessible_team_ids, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_analytics_source_data_1']") as hs_analytics_source_data_1, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_analytics_source_data_2']") as hs_analytics_source_data_2, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_date_entered_closedlost']") as hs_date_entered_closedlost, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_latest_meeting_activity']") as hs_latest_meeting_activity, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hubspot_owner_assigneddate']") as hubspot_owner_assigneddate, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['is_tax_compliance_verified']") as is_tax_compliance_verified, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_all_deal_split_owner_ids']") as hs_all_deal_split_owner_ids, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_date_exited_contractsent']") as hs_date_exited_contractsent, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_manual_forecast_category']") as hs_manual_forecast_category, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_sales_email_last_replied']") as hs_sales_email_last_replied, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_date_entered_contractsent']") as hs_date_entered_contractsent, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['date_de_fermeture_financement']") as date_de_fermeture_financement, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['date_de_remboursement_du_pret']") as date_de_remboursement_du_pret, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_date_exited_qualifiedtobuy']") as hs_date_exited_qualifiedtobuy, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_date_entered_qualifiedtobuy']") as hs_date_entered_qualifiedtobuy, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['motif_conversion_perdue_cases_']") as motif_conversion_perdue_cases_, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['remboursement_par_anticipation']") as remboursement_par_anticipation, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['engagements_last_meeting_booked']") as engagements_last_meeting_booked, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_time_in_appointmentscheduled']") as hs_time_in_appointmentscheduled, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['motif_refus_banque_mansa_cases_']") as motif_refus_banque_mansa_cases_, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_deal_stage_probability_shadow']") as hs_deal_stage_probability_shadow, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_time_in_decisionmakerboughtin']") as hs_time_in_decisionmakerboughtin, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_time_in_presentationscheduled']") as hs_time_in_presentationscheduled, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_all_assigned_business_unit_ids']") as hs_all_assigned_business_unit_ids, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_closed_amount_in_home_currency']") as hs_closed_amount_in_home_currency, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_date_exited_appointmentscheduled']") as hs_date_exited_appointmentscheduled, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_date_entered_appointmentscheduled']") as hs_date_entered_appointmentscheduled, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_date_exited_decisionmakerboughtin']") as hs_date_exited_decisionmakerboughtin, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_date_exited_presentationscheduled']") as hs_date_exited_presentationscheduled, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_predicted_amount_in_home_currency']") as hs_predicted_amount_in_home_currency, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_projected_amount_in_home_currency']") as hs_projected_amount_in_home_currency, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_date_entered_decisionmakerboughtin']") as hs_date_entered_decisionmakerboughtin, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_date_entered_presentationscheduled']") as hs_date_entered_presentationscheduled, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_deal_amount_calculation_preference']") as hs_deal_amount_calculation_preference, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['comment_avez_vous_decouvert_mansa_new_']") as comment_avez_vous_decouvert_mansa_new_, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['engagements_last_meeting_booked_medium']") as engagements_last_meeting_booked_medium, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['engagements_last_meeting_booked_source']") as engagements_last_meeting_booked_source, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['engagements_last_meeting_booked_campaign']") as engagements_last_meeting_booked_campaign, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_user_ids_of_all_notification_followers']") as hs_user_ids_of_all_notification_followers, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_user_ids_of_all_notification_unfollowers']") as hs_user_ids_of_all_notification_unfollowers, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_line_item_global_term_hs_discount_percentage']") as hs_line_item_global_term_hs_discount_percentage, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_line_item_global_term_recurringbillingfrequency']") as hs_line_item_global_term_recurringbillingfrequency, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_line_item_global_term_hs_recurring_billing_period']") as hs_line_item_global_term_hs_recurring_billing_period, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_line_item_global_term_hs_discount_percentage_enabled']") as hs_line_item_global_term_hs_discount_percentage_enabled, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_line_item_global_term_hs_recurring_billing_start_date']") as hs_line_item_global_term_hs_recurring_billing_start_date, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_line_item_global_term_recurringbillingfrequency_enabled']") as hs_line_item_global_term_recurringbillingfrequency_enabled, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_line_item_global_term_hs_recurring_billing_period_enabled']") as hs_line_item_global_term_hs_recurring_billing_period_enabled, 2022-04-13 05:22:21 normalization > json_extract_scalar(properties, "$['hs_line_item_global_term_hs_recurring_billing_start_date_enabled']") as hs_line_item_global_term_hs_recurring_billing_start_date_enabled, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:21 normalization > from `mansagroup-datascience`.hubspot_.`deals` as table_alias 2022-04-13 05:22:21 normalization > -- properties at deals/properties 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > and properties is not null 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > ), __dbt__cte__deals_properties_ab2 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__deals_properties_ab1 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > _airbyte_deals_hashid, 2022-04-13 05:22:21 normalization > cast(teg as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as teg, 2022-04-13 05:22:21 normalization > cast(gift as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as gift, 2022-04-13 05:22:21 normalization > cast(mail as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as mail, 2022-04-13 05:22:21 normalization > cast(email as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as email, 2022-04-13 05:22:21 normalization > cast(amount as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as amount, 2022-04-13 05:22:21 normalization > cast(hs_acv as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_acv, 2022-04-13 05:22:21 normalization > cast(hs_arr as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_arr, 2022-04-13 05:22:21 normalization > cast(hs_mrr as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_mrr, 2022-04-13 05:22:21 normalization > cast(hs_tcv as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_tcv, 2022-04-13 05:22:21 normalization > cast(metier as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as metier, 2022-04-13 05:22:21 normalization > cast(is_test as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as is_test, 2022-04-13 05:22:21 normalization > cast(settled as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as settled, 2022-04-13 05:22:21 normalization > cast(activite as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as activite, 2022-04-13 05:22:21 normalization > cast(nullif(date_won, '') as 2022-04-13 05:22:21 normalization > date 2022-04-13 05:22:21 normalization > ) as date_won, 2022-04-13 05:22:21 normalization > cast(dealname as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as dealname, 2022-04-13 05:22:21 normalization > cast(dealtype as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as dealtype, 2022-04-13 05:22:21 normalization > cast(pipeline as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as pipeline, 2022-04-13 05:22:21 normalization > cast(bank_iban as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as bank_iban, 2022-04-13 05:22:21 normalization > cast(nullif(closedate, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as closedate, 2022-04-13 05:22:21 normalization > cast(nullif(date_lost, '') as 2022-04-13 05:22:21 normalization > date 2022-04-13 05:22:21 normalization > ) as date_lost, 2022-04-13 05:22:21 normalization > cast(dealstage as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as dealstage, 2022-04-13 05:22:21 normalization > cast(formality as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as formality, 2022-04-13 05:22:21 normalization > cast(is_french as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as is_french, 2022-04-13 05:22:21 normalization > cast(last_name as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as last_name, 2022-04-13 05:22:21 normalization > cast(lootscore as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as lootscore, 2022-04-13 05:22:21 normalization > cast(num_notes as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as num_notes, 2022-04-13 05:22:21 normalization > cast(code_idnow as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as code_idnow, 2022-04-13 05:22:21 normalization > cast(nullif(createdate, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as createdate, 2022-04-13 05:22:21 normalization > cast(deal_score as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as deal_score, 2022-04-13 05:22:21 normalization > cast(first_name as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as first_name, 2022-04-13 05:22:21 normalization > cast(id_contact as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as id_contact, 2022-04-13 05:22:21 normalization > cast(loan_grade as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as loan_grade, 2022-04-13 05:22:21 normalization > cast(status_kyc as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as status_kyc, 2022-04-13 05:22:21 normalization > cast(utm_medium as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as utm_medium, 2022-04-13 05:22:21 normalization > cast(utm_source as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as utm_source, 2022-04-13 05:22:21 normalization > cast(amount_fees as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as amount_fees, 2022-04-13 05:22:21 normalization > cast(bon_metier_ as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as bon_metier_, 2022-04-13 05:22:21 normalization > cast(companyname as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as companyname, 2022-04-13 05:22:21 normalization > cast(description as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as description, 2022-04-13 05:22:21 normalization > cast(fee_trigger as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as fee_trigger, 2022-04-13 05:22:21 normalization > cast(hs_campaign as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_campaign, 2022-04-13 05:22:21 normalization > cast(hs_priority as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_priority, 2022-04-13 05:22:21 normalization > cast(is_eligible as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as is_eligible, 2022-04-13 05:22:21 normalization > cast(lead_source as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as lead_source, 2022-04-13 05:22:21 normalization > cast(loan_status as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as loan_status, 2022-04-13 05:22:21 normalization > cast(lost_reason as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as lost_reason, 2022-04-13 05:22:21 normalization > cast(mansa_score as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as mansa_score, 2022-04-13 05:22:21 normalization > cast(mensualites as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as mensualites, 2022-04-13 05:22:21 normalization > cast(repeat_deal as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as repeat_deal, 2022-04-13 05:22:21 normalization > cast(sector_code as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as sector_code, 2022-04-13 05:22:21 normalization > cast(underwriter as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as underwriter, 2022-04-13 05:22:21 normalization > cast(amount_final as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as amount_final, 2022-04-13 05:22:21 normalization > cast(data_missing as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as data_missing, 2022-04-13 05:22:21 normalization > cast(nullif(date_created, '') as 2022-04-13 05:22:21 normalization > date 2022-04-13 05:22:21 normalization > ) as date_created, 2022-04-13 05:22:21 normalization > cast(nullif(date_settled, '') as 2022-04-13 05:22:21 normalization > date 2022-04-13 05:22:21 normalization > ) as date_settled, 2022-04-13 05:22:21 normalization > cast(hs_is_closed as boolean) as hs_is_closed, 2022-04-13 05:22:21 normalization > cast(hs_next_step as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_next_step, 2022-04-13 05:22:21 normalization > cast(hs_object_id as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_object_id, 2022-04-13 05:22:21 normalization > cast(is_completed as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as is_completed, 2022-04-13 05:22:21 normalization > cast(is_open_deal as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as is_open_deal, 2022-04-13 05:22:21 normalization > cast(legal_status as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as legal_status, 2022-04-13 05:22:21 normalization > cast(phone_number as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as phone_number, 2022-04-13 05:22:21 normalization > cast(send_to_qard as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as send_to_qard, 2022-04-13 05:22:21 normalization > cast(type_de_pret as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as type_de_pret, 2022-04-13 05:22:21 normalization > cast(url_calendly as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as url_calendly, 2022-04-13 05:22:21 normalization > cast(url_intercom as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as url_intercom, 2022-04-13 05:22:21 normalization > cast(utm_campaign as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as utm_campaign, 2022-04-13 05:22:21 normalization > cast(annualrevenue as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as annualrevenue, 2022-04-13 05:22:21 normalization > cast(customer_bank as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as customer_bank, 2022-04-13 05:22:21 normalization > cast(nullif(date_approved, '') as 2022-04-13 05:22:21 normalization > date 2022-04-13 05:22:21 normalization > ) as date_approved, 2022-04-13 05:22:21 normalization > cast(nullif(date_rejected, '') as 2022-04-13 05:22:21 normalization > date 2022-04-13 05:22:21 normalization > ) as date_rejected, 2022-04-13 05:22:21 normalization > cast(days_to_close as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as days_to_close, 2022-04-13 05:22:21 normalization > cast(duree_du_pret as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as duree_du_pret, 2022-04-13 05:22:21 normalization > cast(field_of_work as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as field_of_work, 2022-04-13 05:22:21 normalization > cast(nullif(hs_createdate, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_createdate, 2022-04-13 05:22:21 normalization > cast(partner_email as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as partner_email, 2022-04-13 05:22:21 normalization > cast(siren_recency as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as siren_recency, 2022-04-13 05:22:21 normalization > cast(urgency_level as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as urgency_level, 2022-04-13 05:22:21 normalization > cast(url_checklist as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as url_checklist, 2022-04-13 05:22:21 normalization > cast(calendly_owner as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as calendly_owner, 2022-04-13 05:22:21 normalization > cast(case_reference as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as case_reference, 2022-04-13 05:22:21 normalization > cast(nullif(date_became_lt, '') as 2022-04-13 05:22:21 normalization > date 2022-04-13 05:22:21 normalization > ) as date_became_lt, 2022-04-13 05:22:21 normalization > cast(nullif(date_qualified, '') as 2022-04-13 05:22:21 normalization > date 2022-04-13 05:22:21 normalization > ) as date_qualified, 2022-04-13 05:22:21 normalization > cast(nullif(date_submitted, '') as 2022-04-13 05:22:21 normalization > date 2022-04-13 05:22:21 normalization > ) as date_submitted, 2022-04-13 05:22:21 normalization > cast(default_credit as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as default_credit, 2022-04-13 05:22:21 normalization > cast(funding_source as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as funding_source, 2022-04-13 05:22:21 normalization > cast(is_flagged_bdf as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as is_flagged_bdf, 2022-04-13 05:22:21 normalization > cast(is_hard_filter as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as is_hard_filter, 2022-04-13 05:22:21 normalization > cast(landing_source as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as landing_source, 2022-04-13 05:22:21 normalization > cast(nullif(next_step_date, '') as 2022-04-13 05:22:21 normalization > date 2022-04-13 05:22:21 normalization > ) as next_step_date, 2022-04-13 05:22:21 normalization > cast(taux_du_credit as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as taux_du_credit, 2022-04-13 05:22:21 normalization > cast(upsale_a_venir as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as upsale_a_venir, 2022-04-13 05:22:21 normalization > cast(url_incomplete as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as url_incomplete, 2022-04-13 05:22:21 normalization > cast(created_5minago as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as created_5minago, 2022-04-13 05:22:21 normalization > cast(declined_reason as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as declined_reason, 2022-04-13 05:22:21 normalization > cast(desc_incomplete as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as desc_incomplete, 2022-04-13 05:22:21 normalization > cast(duplication_bug as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as duplication_bug, 2022-04-13 05:22:21 normalization > cast(duration_months as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as duration_months, 2022-04-13 05:22:21 normalization > cast(hs_all_team_ids as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_all_team_ids, 2022-04-13 05:22:21 normalization > cast(hubspot_team_id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hubspot_team_id, 2022-04-13 05:22:21 normalization > cast(iseverinloanapp as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as iseverinloanapp, 2022-04-13 05:22:21 normalization > cast(legal_structure as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as legal_structure, 2022-04-13 05:22:21 normalization > cast(monthly_revenue as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as monthly_revenue, 2022-04-13 05:22:21 normalization > cast(owner_firstname as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as owner_firstname, 2022-04-13 05:22:21 normalization > cast(owner_shortcode as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as owner_shortcode, 2022-04-13 05:22:21 normalization > cast(percentage_fees as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as percentage_fees, 2022-04-13 05:22:21 normalization > cast(reechelonnement as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as reechelonnement, 2022-04-13 05:22:21 normalization > cast(trigger_message as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as trigger_message, 2022-04-13 05:22:21 normalization > cast(url_mansa_admin as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as url_mansa_admin, 2022-04-13 05:22:21 normalization > cast(uuid_mansa_loan as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as uuid_mansa_loan, 2022-04-13 05:22:21 normalization > cast(uuid_mansa_user as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as uuid_mansa_user, 2022-04-13 05:22:21 normalization > cast(withdrawal_link as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as withdrawal_link, 2022-04-13 05:22:21 normalization > cast(amount_requested as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as amount_requested, 2022-04-13 05:22:21 normalization > cast(automated_emails as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as automated_emails, 2022-04-13 05:22:21 normalization > cast(commission_mansa as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as commission_mansa, 2022-04-13 05:22:21 normalization > cast(nullif(date_in_progress, '') as 2022-04-13 05:22:21 normalization > date 2022-04-13 05:22:21 normalization > ) as date_in_progress, 2022-04-13 05:22:21 normalization > cast(historyreqchange as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as historyreqchange, 2022-04-13 05:22:21 normalization > cast(hs_all_owner_ids as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_all_owner_ids, 2022-04-13 05:22:21 normalization > cast(hs_closed_amount as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_closed_amount, 2022-04-13 05:22:21 normalization > cast(hs_is_closed_won as boolean) as hs_is_closed_won, 2022-04-13 05:22:21 normalization > cast(hubspot_owner_id as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hubspot_owner_id, 2022-04-13 05:22:21 normalization > cast(is_action_needed as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as is_action_needed, 2022-04-13 05:22:21 normalization > cast(partner_products as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as partner_products, 2022-04-13 05:22:21 normalization > cast(underwriter_name as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as underwriter_name, 2022-04-13 05:22:21 normalization > cast(age_incorporation as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as age_incorporation, 2022-04-13 05:22:21 normalization > cast(closed_won_reason as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as closed_won_reason, 2022-04-13 05:22:21 normalization > cast(nullif(date_docs_missing, '') as 2022-04-13 05:22:21 normalization > date 2022-04-13 05:22:21 normalization > ) as date_docs_missing, 2022-04-13 05:22:21 normalization > cast(external_comments as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as external_comments, 2022-04-13 05:22:21 normalization > cast(incomplete_reason as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as incomplete_reason, 2022-04-13 05:22:21 normalization > cast(nullif(last_stage_change, '') as 2022-04-13 05:22:21 normalization > date 2022-04-13 05:22:21 normalization > ) as last_stage_change, 2022-04-13 05:22:21 normalization > cast(mansa_environment as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as mansa_environment, 2022-04-13 05:22:21 normalization > cast(score_transaction as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as score_transaction, 2022-04-13 05:22:21 normalization > cast(automation_trigger as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as automation_trigger, 2022-04-13 05:22:21 normalization > cast(bank_iban_approved as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as bank_iban_approved, 2022-04-13 05:22:21 normalization > cast(closed_lost_reason as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as closed_lost_reason, 2022-04-13 05:22:21 normalization > cast(cost_credit_amount as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as cost_credit_amount, 2022-04-13 05:22:21 normalization > cast(nullif(date_contract_sent, '') as 2022-04-13 05:22:21 normalization > date 2022-04-13 05:22:21 normalization > ) as date_contract_sent, 2022-04-13 05:22:21 normalization > cast(nullif(date_incorporation, '') as 2022-04-13 05:22:21 normalization > date 2022-04-13 05:22:21 normalization > ) as date_incorporation, 2022-04-13 05:22:21 normalization > cast(deal_currency_code as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as deal_currency_code, 2022-04-13 05:22:21 normalization > cast(hs_forecast_amount as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_forecast_amount, 2022-04-13 05:22:21 normalization > cast(hs_time_in_1359639 as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_time_in_1359639, 2022-04-13 05:22:21 normalization > cast(hs_time_in_1359640 as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_time_in_1359640, 2022-04-13 05:22:21 normalization > cast(hs_time_in_1498993 as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_time_in_1498993, 2022-04-13 05:22:21 normalization > cast(hs_time_in_1498994 as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_time_in_1498994, 2022-04-13 05:22:21 normalization > cast(hs_time_in_1528315 as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_time_in_1528315, 2022-04-13 05:22:21 normalization > cast(hs_time_in_1528316 as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_time_in_1528316, 2022-04-13 05:22:21 normalization > cast(hs_time_in_1584718 as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_time_in_1584718, 2022-04-13 05:22:21 normalization > cast(hs_time_in_1584720 as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_time_in_1584720, 2022-04-13 05:22:21 normalization > cast(hs_time_in_1584721 as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_time_in_1584721, 2022-04-13 05:22:21 normalization > cast(hs_time_in_4431530 as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_time_in_4431530, 2022-04-13 05:22:21 normalization > cast(hs_time_in_9194942 as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_time_in_9194942, 2022-04-13 05:22:21 normalization > cast(hs_time_in_9197039 as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_time_in_9197039, 2022-04-13 05:22:21 normalization > cast(hs_time_in_9273281 as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_time_in_9273281, 2022-04-13 05:22:21 normalization > cast(is_eligible_change as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as is_eligible_change, 2022-04-13 05:22:21 normalization > cast(is_resident_france as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as is_resident_france, 2022-04-13 05:22:21 normalization > cast(nullif(notes_last_updated, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as notes_last_updated, 2022-04-13 05:22:21 normalization > cast(prelevement_rejete as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as prelevement_rejete, 2022-04-13 05:22:21 normalization > cast(acquisition_partner as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as acquisition_partner, 2022-04-13 05:22:21 normalization > cast(amount_max_approved as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as amount_max_approved, 2022-04-13 05:22:21 normalization > cast(canal_d_acquisition as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as canal_d_acquisition, 2022-04-13 05:22:21 normalization > cast(cost_credit_percent as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as cost_credit_percent, 2022-04-13 05:22:21 normalization > cast(nullif(date_last_call_task, '') as 2022-04-13 05:22:21 normalization > date 2022-04-13 05:22:21 normalization > ) as date_last_call_task, 2022-04-13 05:22:21 normalization > cast(nullif(date_last_repayment, '') as 2022-04-13 05:22:21 normalization > date 2022-04-13 05:22:21 normalization > ) as date_last_repayment, 2022-04-13 05:22:21 normalization > cast(hs_analytics_source as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_analytics_source, 2022-04-13 05:22:21 normalization > cast(nullif(hs_lastmodifieddate, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_lastmodifieddate, 2022-04-13 05:22:21 normalization > cast(hs_predicted_amount as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_predicted_amount, 2022-04-13 05:22:21 normalization > cast(hs_projected_amount as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_projected_amount, 2022-04-13 05:22:21 normalization > cast(hs_time_in_10719895 as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_time_in_10719895, 2022-04-13 05:22:21 normalization > cast(hs_time_in_10719896 as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_time_in_10719896, 2022-04-13 05:22:21 normalization > cast(hs_time_in_10719988 as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_time_in_10719988, 2022-04-13 05:22:21 normalization > cast(hs_time_in_10810516 as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_time_in_10810516, 2022-04-13 05:22:21 normalization > cast(hs_time_in_12298746 as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_time_in_12298746, 2022-04-13 05:22:21 normalization > cast(hs_time_in_12305438 as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_time_in_12305438, 2022-04-13 05:22:21 normalization > cast(hs_time_in_12445978 as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_time_in_12445978, 2022-04-13 05:22:21 normalization > cast(hs_time_in_14583984 as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_time_in_14583984, 2022-04-13 05:22:21 normalization > cast(hs_time_in_15241391 as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_time_in_15241391, 2022-04-13 05:22:21 normalization > cast(hs_time_in_17617428 as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_time_in_17617428, 2022-04-13 05:22:21 normalization > cast(loan_term_effective as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as loan_term_effective, 2022-04-13 05:22:21 normalization > cast(loan_term_requested as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as loan_term_requested, 2022-04-13 05:22:21 normalization > cast(num_contacted_notes as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as num_contacted_notes, 2022-04-13 05:22:21 normalization > cast(rate_interest_final as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as rate_interest_final, 2022-04-13 05:22:21 normalization > cast(url_customer_folder as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as url_customer_folder, 2022-04-13 05:22:21 normalization > cast(url_data_collection as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as url_data_collection, 2022-04-13 05:22:21 normalization > cast(amount_total_payable as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as amount_total_payable, 2022-04-13 05:22:21 normalization > cast(nullif(date_first_repayment, '') as 2022-04-13 05:22:21 normalization > date 2022-04-13 05:22:21 normalization > ) as date_first_repayment, 2022-04-13 05:22:21 normalization > cast(hs_merged_object_ids as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_merged_object_ids, 2022-04-13 05:22:21 normalization > cast(hs_time_in_closedwon as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_time_in_closedwon, 2022-04-13 05:22:21 normalization > cast(is_prior_liquidation as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as is_prior_liquidation, 2022-04-13 05:22:21 normalization > cast(is_timebased_enabled as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as is_timebased_enabled, 2022-04-13 05:22:21 normalization > cast(nullif(notes_last_contacted, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as notes_last_contacted, 2022-04-13 05:22:21 normalization > cast(statut_d_independant as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as statut_d_independant, 2022-04-13 05:22:21 normalization > cast(trigger_doc_approved as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as trigger_doc_approved, 2022-04-13 05:22:21 normalization > cast(day_monthly_repayment as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as day_monthly_repayment, 2022-04-13 05:22:21 normalization > cast(duration_max_approved as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as duration_max_approved, 2022-04-13 05:22:21 normalization > cast(duration_months_final as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as duration_months_final, 2022-04-13 05:22:21 normalization > cast(hs_created_by_user_id as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_created_by_user_id, 2022-04-13 05:22:21 normalization > cast(hs_time_in_closedlost as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_time_in_closedlost, 2022-04-13 05:22:21 normalization > cast(hs_updated_by_user_id as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_updated_by_user_id, 2022-04-13 05:22:21 normalization > cast(is_lemonway_completed as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as is_lemonway_completed, 2022-04-13 05:22:21 normalization > cast(loan_purpose_category as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as loan_purpose_category, 2022-04-13 05:22:21 normalization > cast(mthly_installment_max as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as mthly_installment_max, 2022-04-13 05:22:21 normalization > cast(trigger_declined_note as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as trigger_declined_note, 2022-04-13 05:22:21 normalization > cast(underwriting_declined as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as underwriting_declined, 2022-04-13 05:22:21 normalization > cast(amount_first_repayment as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as amount_first_repayment, 2022-04-13 05:22:21 normalization > cast(nullif(date_de_fermeture_deck, '') as 2022-04-13 05:22:21 normalization > date 2022-04-13 05:22:21 normalization > ) as date_de_fermeture_deck, 2022-04-13 05:22:21 normalization > cast(nullif(hs_date_exited_1359639, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_date_exited_1359639, 2022-04-13 05:22:21 normalization > cast(nullif(hs_date_exited_1359640, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_date_exited_1359640, 2022-04-13 05:22:21 normalization > cast(nullif(hs_date_exited_1498993, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_date_exited_1498993, 2022-04-13 05:22:21 normalization > cast(nullif(hs_date_exited_1498994, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_date_exited_1498994, 2022-04-13 05:22:21 normalization > cast(nullif(hs_date_exited_1528315, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_date_exited_1528315, 2022-04-13 05:22:21 normalization > cast(nullif(hs_date_exited_1528316, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_date_exited_1528316, 2022-04-13 05:22:21 normalization > cast(nullif(hs_date_exited_1584718, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_date_exited_1584718, 2022-04-13 05:22:21 normalization > cast(nullif(hs_date_exited_1584720, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_date_exited_1584720, 2022-04-13 05:22:21 normalization > cast(nullif(hs_date_exited_1584721, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_date_exited_1584721, 2022-04-13 05:22:21 normalization > cast(nullif(hs_date_exited_4431530, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_date_exited_4431530, 2022-04-13 05:22:21 normalization > cast(nullif(hs_date_exited_9194942, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_date_exited_9194942, 2022-04-13 05:22:21 normalization > cast(nullif(hs_date_exited_9197039, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_date_exited_9197039, 2022-04-13 05:22:21 normalization > cast(nullif(hs_date_exited_9273281, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_date_exited_9273281, 2022-04-13 05:22:21 normalization > cast(hs_likelihood_to_close as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_likelihood_to_close, 2022-04-13 05:22:21 normalization > cast(hs_num_target_accounts as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_num_target_accounts, 2022-04-13 05:22:21 normalization > cast(hs_unique_creation_key as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_unique_creation_key, 2022-04-13 05:22:21 normalization > cast(last_stage_change_days as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as last_stage_change_days, 2022-04-13 05:22:21 normalization > cast(partenaire_acquisition as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as partenaire_acquisition, 2022-04-13 05:22:21 normalization > cast(remboursement_anticipe as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as remboursement_anticipe, 2022-04-13 05:22:21 normalization > cast(trigger_firstname_edit as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as trigger_firstname_edit, 2022-04-13 05:22:21 normalization > cast(url_approved_assistant as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as url_approved_assistant, 2022-04-13 05:22:21 normalization > cast(amount_in_home_currency as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as amount_in_home_currency, 2022-04-13 05:22:21 normalization > cast(data_collection_inbound as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as data_collection_inbound, 2022-04-13 05:22:21 normalization > cast(failed_monthly_paiement as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as failed_monthly_paiement, 2022-04-13 05:22:21 normalization > cast(nullif(hs_date_entered_1359639, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_date_entered_1359639, 2022-04-13 05:22:21 normalization > cast(nullif(hs_date_entered_1359640, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_date_entered_1359640, 2022-04-13 05:22:21 normalization > cast(nullif(hs_date_entered_1498993, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_date_entered_1498993, 2022-04-13 05:22:21 normalization > cast(nullif(hs_date_entered_1498994, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_date_entered_1498994, 2022-04-13 05:22:21 normalization > cast(nullif(hs_date_entered_1528315, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_date_entered_1528315, 2022-04-13 05:22:21 normalization > cast(nullif(hs_date_entered_1528316, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_date_entered_1528316, 2022-04-13 05:22:21 normalization > cast(nullif(hs_date_entered_1584718, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_date_entered_1584718, 2022-04-13 05:22:21 normalization > cast(nullif(hs_date_entered_1584720, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_date_entered_1584720, 2022-04-13 05:22:21 normalization > cast(nullif(hs_date_entered_1584721, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_date_entered_1584721, 2022-04-13 05:22:21 normalization > cast(nullif(hs_date_entered_4431530, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_date_entered_4431530, 2022-04-13 05:22:21 normalization > cast(nullif(hs_date_entered_9194942, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_date_entered_9194942, 2022-04-13 05:22:21 normalization > cast(nullif(hs_date_entered_9197039, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_date_entered_9197039, 2022-04-13 05:22:21 normalization > cast(nullif(hs_date_entered_9273281, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_date_entered_9273281, 2022-04-13 05:22:21 normalization > cast(nullif(hs_date_exited_10719895, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_date_exited_10719895, 2022-04-13 05:22:21 normalization > cast(nullif(hs_date_exited_10719896, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_date_exited_10719896, 2022-04-13 05:22:21 normalization > cast(nullif(hs_date_exited_10719988, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_date_exited_10719988, 2022-04-13 05:22:21 normalization > cast(nullif(hs_date_exited_10810516, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_date_exited_10810516, 2022-04-13 05:22:21 normalization > cast(nullif(hs_date_exited_12298746, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_date_exited_12298746, 2022-04-13 05:22:21 normalization > cast(nullif(hs_date_exited_12305438, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_date_exited_12305438, 2022-04-13 05:22:21 normalization > cast(nullif(hs_date_exited_12445978, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_date_exited_12445978, 2022-04-13 05:22:21 normalization > cast(nullif(hs_date_exited_14583984, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_date_exited_14583984, 2022-04-13 05:22:21 normalization > cast(nullif(hs_date_exited_15241391, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_date_exited_15241391, 2022-04-13 05:22:21 normalization > cast(nullif(hs_date_exited_17617428, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_date_exited_17617428, 2022-04-13 05:22:21 normalization > cast(hs_forecast_probability as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_forecast_probability, 2022-04-13 05:22:21 normalization > cast(hs_time_in_contractsent as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_time_in_contractsent, 2022-04-13 05:22:21 normalization > cast(is_majority_shareholder as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as is_majority_shareholder, 2022-04-13 05:22:21 normalization > cast(num_associated_contacts as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as num_associated_contacts, 2022-04-13 05:22:21 normalization > cast(owner_direct_phone_line as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as owner_direct_phone_line, 2022-04-13 05:22:21 normalization > cast(preferred_field_of_work as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as preferred_field_of_work, 2022-04-13 05:22:21 normalization > cast(reject_explanation_html as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as reject_explanation_html, 2022-04-13 05:22:21 normalization > cast(amount_monthly_repayment as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as amount_monthly_repayment, 2022-04-13 05:22:21 normalization > cast(bank_account_holder_name as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as bank_account_holder_name, 2022-04-13 05:22:21 normalization > cast(bank_identification_code as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as bank_identification_code, 2022-04-13 05:22:21 normalization > cast(calculation_fees_payable as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as calculation_fees_payable, 2022-04-13 05:22:21 normalization > cast(nullif(date_application_pending, '') as 2022-04-13 05:22:21 normalization > date 2022-04-13 05:22:21 normalization > ) as date_application_pending, 2022-04-13 05:22:21 normalization > cast(nullif(hs_date_entered_10719895, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_date_entered_10719895, 2022-04-13 05:22:21 normalization > cast(nullif(hs_date_entered_10719896, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_date_entered_10719896, 2022-04-13 05:22:21 normalization > cast(nullif(hs_date_entered_10719988, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_date_entered_10719988, 2022-04-13 05:22:21 normalization > cast(nullif(hs_date_entered_10810516, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_date_entered_10810516, 2022-04-13 05:22:21 normalization > cast(nullif(hs_date_entered_12298746, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_date_entered_12298746, 2022-04-13 05:22:21 normalization > cast(nullif(hs_date_entered_12305438, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_date_entered_12305438, 2022-04-13 05:22:21 normalization > cast(nullif(hs_date_entered_12445978, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_date_entered_12445978, 2022-04-13 05:22:21 normalization > cast(nullif(hs_date_entered_14583984, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_date_entered_14583984, 2022-04-13 05:22:21 normalization > cast(nullif(hs_date_entered_15241391, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_date_entered_15241391, 2022-04-13 05:22:21 normalization > cast(nullif(hs_date_entered_17617428, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_date_entered_17617428, 2022-04-13 05:22:21 normalization > cast(nullif(hs_date_exited_closedwon, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_date_exited_closedwon, 2022-04-13 05:22:21 normalization > cast(legal_structure_specific as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as legal_structure_specific, 2022-04-13 05:22:21 normalization > cast(mensualites_recues_vrai_ as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as mensualites_recues_vrai_, 2022-04-13 05:22:21 normalization > cast(nullif(notes_next_activity_date, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as notes_next_activity_date, 2022-04-13 05:22:21 normalization > cast(number_of_failed_payment as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as number_of_failed_payment, 2022-04-13 05:22:21 normalization > cast(reason_for_debit_failure as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as reason_for_debit_failure, 2022-04-13 05:22:21 normalization > cast(trigger_create_checklist as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as trigger_create_checklist, 2022-04-13 05:22:21 normalization > cast(nullif(hs_date_entered_closedwon, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_date_entered_closedwon, 2022-04-13 05:22:21 normalization > cast(nullif(hs_date_exited_closedlost, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_date_exited_closedlost, 2022-04-13 05:22:21 normalization > cast(hs_deal_stage_probability as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_deal_stage_probability, 2022-04-13 05:22:21 normalization > cast(hs_time_in_qualifiedtobuy as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_time_in_qualifiedtobuy, 2022-04-13 05:22:21 normalization > cast(hs_user_ids_of_all_owners as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_user_ids_of_all_owners, 2022-04-13 05:22:21 normalization > cast(looti_scoring_explanation as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as looti_scoring_explanation, 2022-04-13 05:22:21 normalization > cast(number_legal_registration as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as number_legal_registration, 2022-04-13 05:22:21 normalization > cast(statut_juridique_confirme as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as statut_juridique_confirme, 2022-04-13 05:22:21 normalization > cast(amount_gross_revenue_mansa as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as amount_gross_revenue_mansa, 2022-04-13 05:22:21 normalization > cast(hs_all_accessible_team_ids as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_all_accessible_team_ids, 2022-04-13 05:22:21 normalization > cast(hs_analytics_source_data_1 as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_analytics_source_data_1, 2022-04-13 05:22:21 normalization > cast(hs_analytics_source_data_2 as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_analytics_source_data_2, 2022-04-13 05:22:21 normalization > cast(nullif(hs_date_entered_closedlost, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_date_entered_closedlost, 2022-04-13 05:22:21 normalization > cast(nullif(hs_latest_meeting_activity, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_latest_meeting_activity, 2022-04-13 05:22:21 normalization > cast(nullif(hubspot_owner_assigneddate, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hubspot_owner_assigneddate, 2022-04-13 05:22:21 normalization > cast(is_tax_compliance_verified as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as is_tax_compliance_verified, 2022-04-13 05:22:21 normalization > cast(hs_all_deal_split_owner_ids as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_all_deal_split_owner_ids, 2022-04-13 05:22:21 normalization > cast(nullif(hs_date_exited_contractsent, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_date_exited_contractsent, 2022-04-13 05:22:21 normalization > cast(hs_manual_forecast_category as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_manual_forecast_category, 2022-04-13 05:22:21 normalization > cast(nullif(hs_sales_email_last_replied, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_sales_email_last_replied, 2022-04-13 05:22:21 normalization > cast(nullif(hs_date_entered_contractsent, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_date_entered_contractsent, 2022-04-13 05:22:21 normalization > cast(nullif(date_de_fermeture_financement, '') as 2022-04-13 05:22:21 normalization > date 2022-04-13 05:22:21 normalization > ) as date_de_fermeture_financement, 2022-04-13 05:22:21 normalization > cast(nullif(date_de_remboursement_du_pret, '') as 2022-04-13 05:22:21 normalization > date 2022-04-13 05:22:21 normalization > ) as date_de_remboursement_du_pret, 2022-04-13 05:22:21 normalization > cast(nullif(hs_date_exited_qualifiedtobuy, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_date_exited_qualifiedtobuy, 2022-04-13 05:22:21 normalization > cast(nullif(hs_date_entered_qualifiedtobuy, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_date_entered_qualifiedtobuy, 2022-04-13 05:22:21 normalization > cast(motif_conversion_perdue_cases_ as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as motif_conversion_perdue_cases_, 2022-04-13 05:22:21 normalization > cast(remboursement_par_anticipation as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as remboursement_par_anticipation, 2022-04-13 05:22:21 normalization > cast(nullif(engagements_last_meeting_booked, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as engagements_last_meeting_booked, 2022-04-13 05:22:21 normalization > cast(hs_time_in_appointmentscheduled as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_time_in_appointmentscheduled, 2022-04-13 05:22:21 normalization > cast(motif_refus_banque_mansa_cases_ as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as motif_refus_banque_mansa_cases_, 2022-04-13 05:22:21 normalization > cast(hs_deal_stage_probability_shadow as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_deal_stage_probability_shadow, 2022-04-13 05:22:21 normalization > cast(hs_time_in_decisionmakerboughtin as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_time_in_decisionmakerboughtin, 2022-04-13 05:22:21 normalization > cast(hs_time_in_presentationscheduled as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_time_in_presentationscheduled, 2022-04-13 05:22:21 normalization > cast(hs_all_assigned_business_unit_ids as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_all_assigned_business_unit_ids, 2022-04-13 05:22:21 normalization > cast(hs_closed_amount_in_home_currency as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_closed_amount_in_home_currency, 2022-04-13 05:22:21 normalization > cast(nullif(hs_date_exited_appointmentscheduled, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_date_exited_appointmentscheduled, 2022-04-13 05:22:21 normalization > cast(nullif(hs_date_entered_appointmentscheduled, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_date_entered_appointmentscheduled, 2022-04-13 05:22:21 normalization > cast(nullif(hs_date_exited_decisionmakerboughtin, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_date_exited_decisionmakerboughtin, 2022-04-13 05:22:21 normalization > cast(nullif(hs_date_exited_presentationscheduled, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_date_exited_presentationscheduled, 2022-04-13 05:22:21 normalization > cast(hs_predicted_amount_in_home_currency as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_predicted_amount_in_home_currency, 2022-04-13 05:22:21 normalization > cast(hs_projected_amount_in_home_currency as 2022-04-13 05:22:21 normalization > float64 2022-04-13 05:22:21 normalization > ) as hs_projected_amount_in_home_currency, 2022-04-13 05:22:21 normalization > cast(nullif(hs_date_entered_decisionmakerboughtin, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_date_entered_decisionmakerboughtin, 2022-04-13 05:22:21 normalization > cast(nullif(hs_date_entered_presentationscheduled, '') as 2022-04-13 05:22:21 normalization > timestamp 2022-04-13 05:22:21 normalization > ) as hs_date_entered_presentationscheduled, 2022-04-13 05:22:21 normalization > cast(hs_deal_amount_calculation_preference as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_deal_amount_calculation_preference, 2022-04-13 05:22:21 normalization > cast(comment_avez_vous_decouvert_mansa_new_ as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as comment_avez_vous_decouvert_mansa_new_, 2022-04-13 05:22:21 normalization > cast(engagements_last_meeting_booked_medium as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as engagements_last_meeting_booked_medium, 2022-04-13 05:22:21 normalization > cast(engagements_last_meeting_booked_source as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as engagements_last_meeting_booked_source, 2022-04-13 05:22:21 normalization > cast(engagements_last_meeting_booked_campaign as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as engagements_last_meeting_booked_campaign, 2022-04-13 05:22:21 normalization > cast(hs_user_ids_of_all_notification_followers as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_user_ids_of_all_notification_followers, 2022-04-13 05:22:21 normalization > cast(hs_user_ids_of_all_notification_unfollowers as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_user_ids_of_all_notification_unfollowers, 2022-04-13 05:22:21 normalization > cast(hs_line_item_global_term_hs_discount_percentage as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_line_item_global_term_hs_discount_percentage, 2022-04-13 05:22:21 normalization > cast(hs_line_item_global_term_recurringbillingfrequency as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_line_item_global_term_recurringbillingfrequency, 2022-04-13 05:22:21 normalization > cast(hs_line_item_global_term_hs_recurring_billing_period as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_line_item_global_term_hs_recurring_billing_period, 2022-04-13 05:22:21 normalization > cast(hs_line_item_global_term_hs_discount_percentage_enabled as boolean) as hs_line_item_global_term_hs_discount_percentage_enabled, 2022-04-13 05:22:21 normalization > cast(hs_line_item_global_term_hs_recurring_billing_start_date as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ) as hs_line_item_global_term_hs_recurring_billing_start_date, 2022-04-13 05:22:21 normalization > cast(hs_line_item_global_term_recurringbillingfrequency_enabled as boolean) as hs_line_item_global_term_recurringbillingfrequency_enabled, 2022-04-13 05:22:21 normalization > cast(hs_line_item_global_term_hs_recurring_billing_period_enabled as boolean) as hs_line_item_global_term_hs_recurring_billing_period_enabled, 2022-04-13 05:22:21 normalization > cast(hs_line_item_global_term_hs_recurring_billing_start_date_enabled as boolean) as hs_line_item_global_term_hs_recurring_billing_start_date_enabled, 2022-04-13 05:22:21 normalization > _airbyte_ab_id, 2022-04-13 05:22:21 normalization > _airbyte_emitted_at, 2022-04-13 05:22:21 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:21 normalization > from __dbt__cte__deals_properties_ab1 2022-04-13 05:22:21 normalization > -- properties at deals/properties 2022-04-13 05:22:21 normalization > where 1 = 1 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > ), __dbt__cte__deals_properties_ab3 as ( 2022-04-13 05:22:21 normalization > 2022-04-13 05:22:21 normalization > -- SQL model to build a hash column based on the values of this record 2022-04-13 05:22:21 normalization > -- depends_on: __dbt__cte__deals_properties_ab2 2022-04-13 05:22:21 normalization > select 2022-04-13 05:22:21 normalization > to_hex(md5(cast(concat(coalesce(cast(_airbyte_deals_hashid as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(teg as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(gift as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(mail as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(email as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(amount as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_acv as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_arr as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_mrr as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(hs_tcv as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(metier as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(is_test as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(settled as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(activite as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(date_won as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(dealname as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(dealtype as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(pipeline as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(bank_iban as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(closedate as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(date_lost as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(dealstage as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(formality as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(is_french as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(last_name as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(lootscore as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(num_notes as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(code_idnow as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(createdate as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(deal_score as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(first_name as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(id_contact as 2022-04-13 05:22:21 normalization > string 2022-04-13 05:22:21 normalization > ), ''), '-', coalesce(cast(loan_grade as 2022-04-13 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2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(is_lemonway_completed as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(loan_purpose_category as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(mthly_installment_max as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(trigger_declined_note as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(underwriting_declined as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(amount_first_repayment as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(date_de_fermeture_deck as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_date_exited_1359639 as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_date_exited_1359640 as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_date_exited_1498993 as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_date_exited_1498994 as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_date_exited_1528315 as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_date_exited_1528316 as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_date_exited_1584718 as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_date_exited_1584720 as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_date_exited_1584721 as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_date_exited_4431530 as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_date_exited_9194942 as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_date_exited_9197039 as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_date_exited_9273281 as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_likelihood_to_close as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_num_target_accounts as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_unique_creation_key as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(last_stage_change_days as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(partenaire_acquisition as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(remboursement_anticipe as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(trigger_firstname_edit as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(url_approved_assistant as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(amount_in_home_currency as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(data_collection_inbound as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(failed_monthly_paiement as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_date_entered_1359639 as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_date_entered_1359640 as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_date_entered_1498993 as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_date_entered_1498994 as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_date_entered_1528315 as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_date_entered_1528316 as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_date_entered_1584718 as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_date_entered_1584720 as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_date_entered_1584721 as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_date_entered_4431530 as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_date_entered_9194942 as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_date_entered_9197039 as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_date_entered_9273281 as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_date_exited_10719895 as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_date_exited_10719896 as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_date_exited_10719988 as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_date_exited_10810516 as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_date_exited_12298746 as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_date_exited_12305438 as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_date_exited_12445978 as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_date_exited_14583984 as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_date_exited_15241391 as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_date_exited_17617428 as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_forecast_probability as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_time_in_contractsent as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(is_majority_shareholder as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(num_associated_contacts as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(owner_direct_phone_line as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(preferred_field_of_work as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(reject_explanation_html as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(amount_monthly_repayment as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(bank_account_holder_name as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(bank_identification_code as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(calculation_fees_payable as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(date_application_pending as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_date_entered_10719895 as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_date_entered_10719896 as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_date_entered_10719988 as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_date_entered_10810516 as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_date_entered_12298746 as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_date_entered_12305438 as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_date_entered_12445978 as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_date_entered_14583984 as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_date_entered_15241391 as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_date_entered_17617428 as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_date_exited_closedwon as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(legal_structure_specific as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(mensualites_recues_vrai_ as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(notes_next_activity_date as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(number_of_failed_payment as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(reason_for_debit_failure as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(trigger_create_checklist as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_date_entered_closedwon as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_date_exited_closedlost as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_deal_stage_probability as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_time_in_qualifiedtobuy as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_user_ids_of_all_owners as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(looti_scoring_explanation as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(number_legal_registration as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(statut_juridique_confirme as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(amount_gross_revenue_mansa as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_all_accessible_team_ids as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_analytics_source_data_1 as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_analytics_source_data_2 as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_date_entered_closedlost as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_latest_meeting_activity as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hubspot_owner_assigneddate as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(is_tax_compliance_verified as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_all_deal_split_owner_ids as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_date_exited_contractsent as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_manual_forecast_category as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_sales_email_last_replied as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_date_entered_contractsent as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(date_de_fermeture_financement as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(date_de_remboursement_du_pret as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_date_exited_qualifiedtobuy as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_date_entered_qualifiedtobuy as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(motif_conversion_perdue_cases_ as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(remboursement_par_anticipation as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(engagements_last_meeting_booked as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_time_in_appointmentscheduled as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(motif_refus_banque_mansa_cases_ as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_deal_stage_probability_shadow as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_time_in_decisionmakerboughtin as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_time_in_presentationscheduled as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_all_assigned_business_unit_ids as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_closed_amount_in_home_currency as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_date_exited_appointmentscheduled as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_date_entered_appointmentscheduled as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_date_exited_decisionmakerboughtin as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_date_exited_presentationscheduled as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_predicted_amount_in_home_currency as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_projected_amount_in_home_currency as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_date_entered_decisionmakerboughtin as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_date_entered_presentationscheduled as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_deal_amount_calculation_preference as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(comment_avez_vous_decouvert_mansa_new_ as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(engagements_last_meeting_booked_medium as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(engagements_last_meeting_booked_source as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(engagements_last_meeting_booked_campaign as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_user_ids_of_all_notification_followers as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_user_ids_of_all_notification_unfollowers as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_line_item_global_term_hs_discount_percentage as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_line_item_global_term_recurringbillingfrequency as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_line_item_global_term_hs_recurring_billing_period as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_line_item_global_term_hs_discount_percentage_enabled as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_line_item_global_term_hs_recurring_billing_start_date as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_line_item_global_term_recurringbillingfrequency_enabled as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_line_item_global_term_hs_recurring_billing_period_enabled as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_line_item_global_term_hs_recurring_billing_start_date_enabled as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), '')) as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ))) as _airbyte_properties_hashid, 2022-04-13 05:22:22 normalization > tmp.* 2022-04-13 05:22:22 normalization > from __dbt__cte__deals_properties_ab2 tmp 2022-04-13 05:22:22 normalization > -- properties at deals/properties 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > )-- Final base SQL model 2022-04-13 05:22:22 normalization > -- depends_on: __dbt__cte__deals_properties_ab3 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > _airbyte_deals_hashid, 2022-04-13 05:22:22 normalization > teg, 2022-04-13 05:22:22 normalization > gift, 2022-04-13 05:22:22 normalization > mail, 2022-04-13 05:22:22 normalization > email, 2022-04-13 05:22:22 normalization > amount, 2022-04-13 05:22:22 normalization > hs_acv, 2022-04-13 05:22:22 normalization > hs_arr, 2022-04-13 05:22:22 normalization > hs_mrr, 2022-04-13 05:22:22 normalization > hs_tcv, 2022-04-13 05:22:22 normalization > metier, 2022-04-13 05:22:22 normalization > is_test, 2022-04-13 05:22:22 normalization > settled, 2022-04-13 05:22:22 normalization > activite, 2022-04-13 05:22:22 normalization > date_won, 2022-04-13 05:22:22 normalization > dealname, 2022-04-13 05:22:22 normalization > dealtype, 2022-04-13 05:22:22 normalization > pipeline, 2022-04-13 05:22:22 normalization > bank_iban, 2022-04-13 05:22:22 normalization > closedate, 2022-04-13 05:22:22 normalization > date_lost, 2022-04-13 05:22:22 normalization > dealstage, 2022-04-13 05:22:22 normalization > formality, 2022-04-13 05:22:22 normalization > is_french, 2022-04-13 05:22:22 normalization > last_name, 2022-04-13 05:22:22 normalization > lootscore, 2022-04-13 05:22:22 normalization > num_notes, 2022-04-13 05:22:22 normalization > code_idnow, 2022-04-13 05:22:22 normalization > createdate, 2022-04-13 05:22:22 normalization > deal_score, 2022-04-13 05:22:22 normalization > first_name, 2022-04-13 05:22:22 normalization > id_contact, 2022-04-13 05:22:22 normalization > loan_grade, 2022-04-13 05:22:22 normalization > status_kyc, 2022-04-13 05:22:22 normalization > utm_medium, 2022-04-13 05:22:22 normalization > utm_source, 2022-04-13 05:22:22 normalization > amount_fees, 2022-04-13 05:22:22 normalization > bon_metier_, 2022-04-13 05:22:22 normalization > companyname, 2022-04-13 05:22:22 normalization > description, 2022-04-13 05:22:22 normalization > fee_trigger, 2022-04-13 05:22:22 normalization > hs_campaign, 2022-04-13 05:22:22 normalization > hs_priority, 2022-04-13 05:22:22 normalization > is_eligible, 2022-04-13 05:22:22 normalization > lead_source, 2022-04-13 05:22:22 normalization > loan_status, 2022-04-13 05:22:22 normalization > lost_reason, 2022-04-13 05:22:22 normalization > mansa_score, 2022-04-13 05:22:22 normalization > mensualites, 2022-04-13 05:22:22 normalization > repeat_deal, 2022-04-13 05:22:22 normalization > sector_code, 2022-04-13 05:22:22 normalization > underwriter, 2022-04-13 05:22:22 normalization > amount_final, 2022-04-13 05:22:22 normalization > data_missing, 2022-04-13 05:22:22 normalization > date_created, 2022-04-13 05:22:22 normalization > date_settled, 2022-04-13 05:22:22 normalization > hs_is_closed, 2022-04-13 05:22:22 normalization > hs_next_step, 2022-04-13 05:22:22 normalization > hs_object_id, 2022-04-13 05:22:22 normalization > is_completed, 2022-04-13 05:22:22 normalization > is_open_deal, 2022-04-13 05:22:22 normalization > legal_status, 2022-04-13 05:22:22 normalization > phone_number, 2022-04-13 05:22:22 normalization > send_to_qard, 2022-04-13 05:22:22 normalization > type_de_pret, 2022-04-13 05:22:22 normalization > url_calendly, 2022-04-13 05:22:22 normalization > url_intercom, 2022-04-13 05:22:22 normalization > utm_campaign, 2022-04-13 05:22:22 normalization > annualrevenue, 2022-04-13 05:22:22 normalization > customer_bank, 2022-04-13 05:22:22 normalization > date_approved, 2022-04-13 05:22:22 normalization > date_rejected, 2022-04-13 05:22:22 normalization > days_to_close, 2022-04-13 05:22:22 normalization > duree_du_pret, 2022-04-13 05:22:22 normalization > field_of_work, 2022-04-13 05:22:22 normalization > hs_createdate, 2022-04-13 05:22:22 normalization > partner_email, 2022-04-13 05:22:22 normalization > siren_recency, 2022-04-13 05:22:22 normalization > urgency_level, 2022-04-13 05:22:22 normalization > url_checklist, 2022-04-13 05:22:22 normalization > calendly_owner, 2022-04-13 05:22:22 normalization > case_reference, 2022-04-13 05:22:22 normalization > date_became_lt, 2022-04-13 05:22:22 normalization > date_qualified, 2022-04-13 05:22:22 normalization > date_submitted, 2022-04-13 05:22:22 normalization > default_credit, 2022-04-13 05:22:22 normalization > funding_source, 2022-04-13 05:22:22 normalization > is_flagged_bdf, 2022-04-13 05:22:22 normalization > is_hard_filter, 2022-04-13 05:22:22 normalization > landing_source, 2022-04-13 05:22:22 normalization > next_step_date, 2022-04-13 05:22:22 normalization > taux_du_credit, 2022-04-13 05:22:22 normalization > upsale_a_venir, 2022-04-13 05:22:22 normalization > url_incomplete, 2022-04-13 05:22:22 normalization > created_5minago, 2022-04-13 05:22:22 normalization > declined_reason, 2022-04-13 05:22:22 normalization > desc_incomplete, 2022-04-13 05:22:22 normalization > duplication_bug, 2022-04-13 05:22:22 normalization > duration_months, 2022-04-13 05:22:22 normalization > hs_all_team_ids, 2022-04-13 05:22:22 normalization > hubspot_team_id, 2022-04-13 05:22:22 normalization > iseverinloanapp, 2022-04-13 05:22:22 normalization > legal_structure, 2022-04-13 05:22:22 normalization > monthly_revenue, 2022-04-13 05:22:22 normalization > owner_firstname, 2022-04-13 05:22:22 normalization > owner_shortcode, 2022-04-13 05:22:22 normalization > percentage_fees, 2022-04-13 05:22:22 normalization > reechelonnement, 2022-04-13 05:22:22 normalization > trigger_message, 2022-04-13 05:22:22 normalization > url_mansa_admin, 2022-04-13 05:22:22 normalization > uuid_mansa_loan, 2022-04-13 05:22:22 normalization > uuid_mansa_user, 2022-04-13 05:22:22 normalization > withdrawal_link, 2022-04-13 05:22:22 normalization > amount_requested, 2022-04-13 05:22:22 normalization > automated_emails, 2022-04-13 05:22:22 normalization > commission_mansa, 2022-04-13 05:22:22 normalization > date_in_progress, 2022-04-13 05:22:22 normalization > historyreqchange, 2022-04-13 05:22:22 normalization > hs_all_owner_ids, 2022-04-13 05:22:22 normalization > hs_closed_amount, 2022-04-13 05:22:22 normalization > hs_is_closed_won, 2022-04-13 05:22:22 normalization > hubspot_owner_id, 2022-04-13 05:22:22 normalization > is_action_needed, 2022-04-13 05:22:22 normalization > partner_products, 2022-04-13 05:22:22 normalization > underwriter_name, 2022-04-13 05:22:22 normalization > age_incorporation, 2022-04-13 05:22:22 normalization > closed_won_reason, 2022-04-13 05:22:22 normalization > date_docs_missing, 2022-04-13 05:22:22 normalization > external_comments, 2022-04-13 05:22:22 normalization > incomplete_reason, 2022-04-13 05:22:22 normalization > last_stage_change, 2022-04-13 05:22:22 normalization > mansa_environment, 2022-04-13 05:22:22 normalization > score_transaction, 2022-04-13 05:22:22 normalization > automation_trigger, 2022-04-13 05:22:22 normalization > bank_iban_approved, 2022-04-13 05:22:22 normalization > closed_lost_reason, 2022-04-13 05:22:22 normalization > cost_credit_amount, 2022-04-13 05:22:22 normalization > date_contract_sent, 2022-04-13 05:22:22 normalization > date_incorporation, 2022-04-13 05:22:22 normalization > deal_currency_code, 2022-04-13 05:22:22 normalization > hs_forecast_amount, 2022-04-13 05:22:22 normalization > hs_time_in_1359639, 2022-04-13 05:22:22 normalization > hs_time_in_1359640, 2022-04-13 05:22:22 normalization > hs_time_in_1498993, 2022-04-13 05:22:22 normalization > hs_time_in_1498994, 2022-04-13 05:22:22 normalization > hs_time_in_1528315, 2022-04-13 05:22:22 normalization > hs_time_in_1528316, 2022-04-13 05:22:22 normalization > hs_time_in_1584718, 2022-04-13 05:22:22 normalization > hs_time_in_1584720, 2022-04-13 05:22:22 normalization > hs_time_in_1584721, 2022-04-13 05:22:22 normalization > hs_time_in_4431530, 2022-04-13 05:22:22 normalization > hs_time_in_9194942, 2022-04-13 05:22:22 normalization > hs_time_in_9197039, 2022-04-13 05:22:22 normalization > hs_time_in_9273281, 2022-04-13 05:22:22 normalization > is_eligible_change, 2022-04-13 05:22:22 normalization > is_resident_france, 2022-04-13 05:22:22 normalization > notes_last_updated, 2022-04-13 05:22:22 normalization > prelevement_rejete, 2022-04-13 05:22:22 normalization > acquisition_partner, 2022-04-13 05:22:22 normalization > amount_max_approved, 2022-04-13 05:22:22 normalization > canal_d_acquisition, 2022-04-13 05:22:22 normalization > cost_credit_percent, 2022-04-13 05:22:22 normalization > date_last_call_task, 2022-04-13 05:22:22 normalization > date_last_repayment, 2022-04-13 05:22:22 normalization > hs_analytics_source, 2022-04-13 05:22:22 normalization > hs_lastmodifieddate, 2022-04-13 05:22:22 normalization > hs_predicted_amount, 2022-04-13 05:22:22 normalization > hs_projected_amount, 2022-04-13 05:22:22 normalization > hs_time_in_10719895, 2022-04-13 05:22:22 normalization > hs_time_in_10719896, 2022-04-13 05:22:22 normalization > hs_time_in_10719988, 2022-04-13 05:22:22 normalization > hs_time_in_10810516, 2022-04-13 05:22:22 normalization > hs_time_in_12298746, 2022-04-13 05:22:22 normalization > hs_time_in_12305438, 2022-04-13 05:22:22 normalization > hs_time_in_12445978, 2022-04-13 05:22:22 normalization > hs_time_in_14583984, 2022-04-13 05:22:22 normalization > hs_time_in_15241391, 2022-04-13 05:22:22 normalization > hs_time_in_17617428, 2022-04-13 05:22:22 normalization > loan_term_effective, 2022-04-13 05:22:22 normalization > loan_term_requested, 2022-04-13 05:22:22 normalization > num_contacted_notes, 2022-04-13 05:22:22 normalization > rate_interest_final, 2022-04-13 05:22:22 normalization > url_customer_folder, 2022-04-13 05:22:22 normalization > url_data_collection, 2022-04-13 05:22:22 normalization > amount_total_payable, 2022-04-13 05:22:22 normalization > date_first_repayment, 2022-04-13 05:22:22 normalization > hs_merged_object_ids, 2022-04-13 05:22:22 normalization > hs_time_in_closedwon, 2022-04-13 05:22:22 normalization > is_prior_liquidation, 2022-04-13 05:22:22 normalization > is_timebased_enabled, 2022-04-13 05:22:22 normalization > notes_last_contacted, 2022-04-13 05:22:22 normalization > statut_d_independant, 2022-04-13 05:22:22 normalization > trigger_doc_approved, 2022-04-13 05:22:22 normalization > day_monthly_repayment, 2022-04-13 05:22:22 normalization > duration_max_approved, 2022-04-13 05:22:22 normalization > duration_months_final, 2022-04-13 05:22:22 normalization > hs_created_by_user_id, 2022-04-13 05:22:22 normalization > hs_time_in_closedlost, 2022-04-13 05:22:22 normalization > hs_updated_by_user_id, 2022-04-13 05:22:22 normalization > is_lemonway_completed, 2022-04-13 05:22:22 normalization > loan_purpose_category, 2022-04-13 05:22:22 normalization > mthly_installment_max, 2022-04-13 05:22:22 normalization > trigger_declined_note, 2022-04-13 05:22:22 normalization > underwriting_declined, 2022-04-13 05:22:22 normalization > amount_first_repayment, 2022-04-13 05:22:22 normalization > date_de_fermeture_deck, 2022-04-13 05:22:22 normalization > hs_date_exited_1359639, 2022-04-13 05:22:22 normalization > hs_date_exited_1359640, 2022-04-13 05:22:22 normalization > hs_date_exited_1498993, 2022-04-13 05:22:22 normalization > hs_date_exited_1498994, 2022-04-13 05:22:22 normalization > hs_date_exited_1528315, 2022-04-13 05:22:22 normalization > hs_date_exited_1528316, 2022-04-13 05:22:22 normalization > hs_date_exited_1584718, 2022-04-13 05:22:22 normalization > hs_date_exited_1584720, 2022-04-13 05:22:22 normalization > hs_date_exited_1584721, 2022-04-13 05:22:22 normalization > hs_date_exited_4431530, 2022-04-13 05:22:22 normalization > hs_date_exited_9194942, 2022-04-13 05:22:22 normalization > hs_date_exited_9197039, 2022-04-13 05:22:22 normalization > hs_date_exited_9273281, 2022-04-13 05:22:22 normalization > hs_likelihood_to_close, 2022-04-13 05:22:22 normalization > hs_num_target_accounts, 2022-04-13 05:22:22 normalization > hs_unique_creation_key, 2022-04-13 05:22:22 normalization > last_stage_change_days, 2022-04-13 05:22:22 normalization > partenaire_acquisition, 2022-04-13 05:22:22 normalization > remboursement_anticipe, 2022-04-13 05:22:22 normalization > trigger_firstname_edit, 2022-04-13 05:22:22 normalization > url_approved_assistant, 2022-04-13 05:22:22 normalization > amount_in_home_currency, 2022-04-13 05:22:22 normalization > data_collection_inbound, 2022-04-13 05:22:22 normalization > failed_monthly_paiement, 2022-04-13 05:22:22 normalization > hs_date_entered_1359639, 2022-04-13 05:22:22 normalization > hs_date_entered_1359640, 2022-04-13 05:22:22 normalization > hs_date_entered_1498993, 2022-04-13 05:22:22 normalization > hs_date_entered_1498994, 2022-04-13 05:22:22 normalization > hs_date_entered_1528315, 2022-04-13 05:22:22 normalization > hs_date_entered_1528316, 2022-04-13 05:22:22 normalization > hs_date_entered_1584718, 2022-04-13 05:22:22 normalization > hs_date_entered_1584720, 2022-04-13 05:22:22 normalization > hs_date_entered_1584721, 2022-04-13 05:22:22 normalization > hs_date_entered_4431530, 2022-04-13 05:22:22 normalization > hs_date_entered_9194942, 2022-04-13 05:22:22 normalization > hs_date_entered_9197039, 2022-04-13 05:22:22 normalization > hs_date_entered_9273281, 2022-04-13 05:22:22 normalization > hs_date_exited_10719895, 2022-04-13 05:22:22 normalization > hs_date_exited_10719896, 2022-04-13 05:22:22 normalization > hs_date_exited_10719988, 2022-04-13 05:22:22 normalization > hs_date_exited_10810516, 2022-04-13 05:22:22 normalization > hs_date_exited_12298746, 2022-04-13 05:22:22 normalization > hs_date_exited_12305438, 2022-04-13 05:22:22 normalization > hs_date_exited_12445978, 2022-04-13 05:22:22 normalization > hs_date_exited_14583984, 2022-04-13 05:22:22 normalization > hs_date_exited_15241391, 2022-04-13 05:22:22 normalization > hs_date_exited_17617428, 2022-04-13 05:22:22 normalization > hs_forecast_probability, 2022-04-13 05:22:22 normalization > hs_time_in_contractsent, 2022-04-13 05:22:22 normalization > is_majority_shareholder, 2022-04-13 05:22:22 normalization > num_associated_contacts, 2022-04-13 05:22:22 normalization > owner_direct_phone_line, 2022-04-13 05:22:22 normalization > preferred_field_of_work, 2022-04-13 05:22:22 normalization > reject_explanation_html, 2022-04-13 05:22:22 normalization > amount_monthly_repayment, 2022-04-13 05:22:22 normalization > bank_account_holder_name, 2022-04-13 05:22:22 normalization > bank_identification_code, 2022-04-13 05:22:22 normalization > calculation_fees_payable, 2022-04-13 05:22:22 normalization > date_application_pending, 2022-04-13 05:22:22 normalization > hs_date_entered_10719895, 2022-04-13 05:22:22 normalization > hs_date_entered_10719896, 2022-04-13 05:22:22 normalization > hs_date_entered_10719988, 2022-04-13 05:22:22 normalization > hs_date_entered_10810516, 2022-04-13 05:22:22 normalization > hs_date_entered_12298746, 2022-04-13 05:22:22 normalization > hs_date_entered_12305438, 2022-04-13 05:22:22 normalization > hs_date_entered_12445978, 2022-04-13 05:22:22 normalization > hs_date_entered_14583984, 2022-04-13 05:22:22 normalization > hs_date_entered_15241391, 2022-04-13 05:22:22 normalization > hs_date_entered_17617428, 2022-04-13 05:22:22 normalization > hs_date_exited_closedwon, 2022-04-13 05:22:22 normalization > legal_structure_specific, 2022-04-13 05:22:22 normalization > mensualites_recues_vrai_, 2022-04-13 05:22:22 normalization > notes_next_activity_date, 2022-04-13 05:22:22 normalization > number_of_failed_payment, 2022-04-13 05:22:22 normalization > reason_for_debit_failure, 2022-04-13 05:22:22 normalization > trigger_create_checklist, 2022-04-13 05:22:22 normalization > hs_date_entered_closedwon, 2022-04-13 05:22:22 normalization > hs_date_exited_closedlost, 2022-04-13 05:22:22 normalization > hs_deal_stage_probability, 2022-04-13 05:22:22 normalization > hs_time_in_qualifiedtobuy, 2022-04-13 05:22:22 normalization > hs_user_ids_of_all_owners, 2022-04-13 05:22:22 normalization > looti_scoring_explanation, 2022-04-13 05:22:22 normalization > number_legal_registration, 2022-04-13 05:22:22 normalization > statut_juridique_confirme, 2022-04-13 05:22:22 normalization > amount_gross_revenue_mansa, 2022-04-13 05:22:22 normalization > hs_all_accessible_team_ids, 2022-04-13 05:22:22 normalization > hs_analytics_source_data_1, 2022-04-13 05:22:22 normalization > hs_analytics_source_data_2, 2022-04-13 05:22:22 normalization > hs_date_entered_closedlost, 2022-04-13 05:22:22 normalization > hs_latest_meeting_activity, 2022-04-13 05:22:22 normalization > hubspot_owner_assigneddate, 2022-04-13 05:22:22 normalization > is_tax_compliance_verified, 2022-04-13 05:22:22 normalization > hs_all_deal_split_owner_ids, 2022-04-13 05:22:22 normalization > hs_date_exited_contractsent, 2022-04-13 05:22:22 normalization > hs_manual_forecast_category, 2022-04-13 05:22:22 normalization > hs_sales_email_last_replied, 2022-04-13 05:22:22 normalization > hs_date_entered_contractsent, 2022-04-13 05:22:22 normalization > date_de_fermeture_financement, 2022-04-13 05:22:22 normalization > date_de_remboursement_du_pret, 2022-04-13 05:22:22 normalization > hs_date_exited_qualifiedtobuy, 2022-04-13 05:22:22 normalization > hs_date_entered_qualifiedtobuy, 2022-04-13 05:22:22 normalization > motif_conversion_perdue_cases_, 2022-04-13 05:22:22 normalization > remboursement_par_anticipation, 2022-04-13 05:22:22 normalization > engagements_last_meeting_booked, 2022-04-13 05:22:22 normalization > hs_time_in_appointmentscheduled, 2022-04-13 05:22:22 normalization > motif_refus_banque_mansa_cases_, 2022-04-13 05:22:22 normalization > hs_deal_stage_probability_shadow, 2022-04-13 05:22:22 normalization > hs_time_in_decisionmakerboughtin, 2022-04-13 05:22:22 normalization > hs_time_in_presentationscheduled, 2022-04-13 05:22:22 normalization > hs_all_assigned_business_unit_ids, 2022-04-13 05:22:22 normalization > hs_closed_amount_in_home_currency, 2022-04-13 05:22:22 normalization > hs_date_exited_appointmentscheduled, 2022-04-13 05:22:22 normalization > hs_date_entered_appointmentscheduled, 2022-04-13 05:22:22 normalization > hs_date_exited_decisionmakerboughtin, 2022-04-13 05:22:22 normalization > hs_date_exited_presentationscheduled, 2022-04-13 05:22:22 normalization > hs_predicted_amount_in_home_currency, 2022-04-13 05:22:22 normalization > hs_projected_amount_in_home_currency, 2022-04-13 05:22:22 normalization > hs_date_entered_decisionmakerboughtin, 2022-04-13 05:22:22 normalization > hs_date_entered_presentationscheduled, 2022-04-13 05:22:22 normalization > hs_deal_amount_calculation_preference, 2022-04-13 05:22:22 normalization > comment_avez_vous_decouvert_mansa_new_, 2022-04-13 05:22:22 normalization > engagements_last_meeting_booked_medium, 2022-04-13 05:22:22 normalization > engagements_last_meeting_booked_source, 2022-04-13 05:22:22 normalization > engagements_last_meeting_booked_campaign, 2022-04-13 05:22:22 normalization > hs_user_ids_of_all_notification_followers, 2022-04-13 05:22:22 normalization > hs_user_ids_of_all_notification_unfollowers, 2022-04-13 05:22:22 normalization > hs_line_item_global_term_hs_discount_percentage, 2022-04-13 05:22:22 normalization > hs_line_item_global_term_recurringbillingfrequency, 2022-04-13 05:22:22 normalization > hs_line_item_global_term_hs_recurring_billing_period, 2022-04-13 05:22:22 normalization > hs_line_item_global_term_hs_discount_percentage_enabled, 2022-04-13 05:22:22 normalization > hs_line_item_global_term_hs_recurring_billing_start_date, 2022-04-13 05:22:22 normalization > hs_line_item_global_term_recurringbillingfrequency_enabled, 2022-04-13 05:22:22 normalization > hs_line_item_global_term_hs_recurring_billing_period_enabled, 2022-04-13 05:22:22 normalization > hs_line_item_global_term_hs_recurring_billing_start_date_enabled, 2022-04-13 05:22:22 normalization > _airbyte_ab_id, 2022-04-13 05:22:22 normalization > _airbyte_emitted_at, 2022-04-13 05:22:22 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at, 2022-04-13 05:22:22 normalization > _airbyte_properties_hashid 2022-04-13 05:22:22 normalization > from __dbt__cte__deals_properties_ab3 2022-04-13 05:22:22 normalization > -- properties at deals/properties from `mansagroup-datascience`.hubspot_.`deals` 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > and coalesce( 2022-04-13 05:22:22 normalization > cast(_airbyte_emitted_at as 2022-04-13 05:22:22 normalization > timestamp 2022-04-13 05:22:22 normalization > ) >= (select max(cast(_airbyte_emitted_at as 2022-04-13 05:22:22 normalization > timestamp 2022-04-13 05:22:22 normalization > )) from `mansagroup-datascience`.hubspot_.`deals_properties`), 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > true) 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > ); 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 05:04:19.026086 [debug] [Thread-1 ]: 2022-04-13 05:22:22 normalization > In `mansagroup-datascience`.`hubspot_`.`products_properties`: 2022-04-13 05:22:22 normalization > Schema changed: False 2022-04-13 05:22:22 normalization > Source columns not in target: [] 2022-04-13 05:22:22 normalization > Target columns not in source: [] 2022-04-13 05:22:22 normalization > New column types: [] 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 05:04:19.027494 [debug] [Thread-1 ]: Writing runtime SQL for node "model.airbyte_utils.products_properties" 2022-04-13 05:22:22 normalization > 05:04:19.027842 [debug] [Thread-1 ]: On model.airbyte_utils.products_properties: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.products_properties"} */ 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > merge into `mansagroup-datascience`.hubspot_.`products_properties` as DBT_INTERNAL_DEST 2022-04-13 05:22:22 normalization > using ( 2022-04-13 05:22:22 normalization > select * from `mansagroup-datascience`.hubspot_.`products_properties__dbt_tmp` 2022-04-13 05:22:22 normalization > ) as DBT_INTERNAL_SOURCE 2022-04-13 05:22:22 normalization > on FALSE 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > when not matched then insert 2022-04-13 05:22:22 normalization > (`_airbyte_products_hashid`, `tax`, `name`, `price`, `amount`, `hs_sku`, `hs_url`, `discount`, `quantity`, `hs_images`, `createdate`, `description`, `hs_folder_id`, `hs_object_id`, `hs_price_eur`, `hs_createdate`, `hs_lastmodifieddate`, `hs_merged_object_ids`, `hs_cost_of_goods_sold`, `hs_created_by_user_id`, `hs_updated_by_user_id`, `hs_discount_percentage`, `hs_unique_creation_key`, `hs_avatar_filemanager_key`, `hs_user_ids_of_all_owners`, `recurringbillingfrequency`, `hs_all_accessible_team_ids`, `hs_recurring_billing_period`, `hs_recurring_billing_start_date`, `hs_all_assigned_business_unit_ids`, `hs_user_ids_of_all_notification_followers`, `hs_user_ids_of_all_notification_unfollowers`, `_airbyte_ab_id`, `_airbyte_emitted_at`, `_airbyte_normalized_at`, `_airbyte_properties_hashid`) 2022-04-13 05:22:22 normalization > values 2022-04-13 05:22:22 normalization > (`_airbyte_products_hashid`, `tax`, `name`, `price`, `amount`, `hs_sku`, `hs_url`, `discount`, `quantity`, `hs_images`, `createdate`, `description`, `hs_folder_id`, `hs_object_id`, `hs_price_eur`, `hs_createdate`, `hs_lastmodifieddate`, `hs_merged_object_ids`, `hs_cost_of_goods_sold`, `hs_created_by_user_id`, `hs_updated_by_user_id`, `hs_discount_percentage`, `hs_unique_creation_key`, `hs_avatar_filemanager_key`, `hs_user_ids_of_all_owners`, `recurringbillingfrequency`, `hs_all_accessible_team_ids`, `hs_recurring_billing_period`, `hs_recurring_billing_start_date`, `hs_all_assigned_business_unit_ids`, `hs_user_ids_of_all_notification_followers`, `hs_user_ids_of_all_notification_unfollowers`, `_airbyte_ab_id`, `_airbyte_emitted_at`, `_airbyte_normalized_at`, `_airbyte_properties_hashid`) 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 05:04:19.314891 [debug] [Thread-8 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:04:19.315533 [info ] [Thread-8 ]: 44 of 77 OK created incremental model hubspot_.engagements_meetings_properties.......................................... [MERGE (6.1k rows, 9.4 MB processed) in 11.32s] 2022-04-13 05:22:22 normalization > 05:04:19.315957 [debug] [Thread-8 ]: Finished running node model.airbyte_utils.engagements_meetings_properties 2022-04-13 05:22:22 normalization > 05:04:19.316159 [debug] [Thread-8 ]: Began running node model.airbyte_utils.tickets_properties 2022-04-13 05:22:22 normalization > 05:04:19.316610 [info ] [Thread-8 ]: 50 of 77 START incremental model hubspot_.tickets_properties............................................................ [RUN] 2022-04-13 05:22:22 normalization > 05:04:19.317102 [debug] [Thread-8 ]: Acquiring new bigquery connection "model.airbyte_utils.tickets_properties" 2022-04-13 05:22:22 normalization > 05:04:19.317306 [debug] [Thread-8 ]: Began compiling node model.airbyte_utils.tickets_properties 2022-04-13 05:22:22 normalization > 05:04:19.317468 [debug] [Thread-8 ]: Compiling model.airbyte_utils.tickets_properties 2022-04-13 05:22:22 normalization > 05:04:19.325251 [debug] [Thread-8 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:22 normalization > 05:04:19.449541 [debug] [Thread-8 ]: Writing injected SQL for node "model.airbyte_utils.tickets_properties" 2022-04-13 05:22:22 normalization > 05:04:19.449908 [debug] [Thread-8 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:04:19.450089 [debug] [Thread-8 ]: Began executing node model.airbyte_utils.tickets_properties 2022-04-13 05:22:22 normalization > 05:04:19.516803 [debug] [Thread-8 ]: On model.airbyte_utils.tickets_properties: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.tickets_properties"} */ 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > create or replace table `mansagroup-datascience`.hubspot_.`tickets_properties__dbt_tmp` 2022-04-13 05:22:22 normalization > partition by timestamp_trunc(_airbyte_emitted_at, day) 2022-04-13 05:22:22 normalization > cluster by _airbyte_emitted_at 2022-04-13 05:22:22 normalization > OPTIONS( 2022-04-13 05:22:22 normalization > expiration_timestamp=TIMESTAMP_ADD(CURRENT_TIMESTAMP(), INTERVAL 12 hour) 2022-04-13 05:22:22 normalization > ) 2022-04-13 05:22:22 normalization > as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > with __dbt__cte__tickets_properties_ab1 as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema 2022-04-13 05:22:22 normalization > -- depends_on: `mansagroup-datascience`.hubspot_.`tickets` 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > _airbyte_tickets_hashid, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['tags']") as tags, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['content']") as content, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['subject']") as subject, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['nps_score']") as nps_score, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['num_notes']") as num_notes, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['created_by']") as created_by, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['createdate']") as createdate, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['source_ref']") as source_ref, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['closed_date']") as closed_date, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['date_closed']") as date_closed, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_pipeline']") as hs_pipeline, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['source_type']") as source_type, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['date_created']") as date_created, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_object_id']") as hs_object_id, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_ticket_id']") as hs_ticket_id, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_time_in_1']") as hs_time_in_1, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_time_in_2']") as hs_time_in_2, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_time_in_3']") as hs_time_in_3, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_time_in_4']") as hs_time_in_4, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_createdate']") as hs_createdate, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_resolution']") as hs_resolution, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['time_to_close']") as time_to_close, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_file_upload']") as hs_file_upload, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_all_team_ids']") as hs_all_team_ids, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_custom_inbox']") as hs_custom_inbox, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hubspot_team_id']") as hubspot_team_id, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['last_reply_date']") as last_reply_date, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['payment_default']") as payment_default, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_all_owner_ids']") as hs_all_owner_ids, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_date_exited_1']") as hs_date_exited_1, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_date_exited_2']") as hs_date_exited_2, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_date_exited_3']") as hs_date_exited_3, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_date_exited_4']") as hs_date_exited_4, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_lastcontacted']") as hs_lastcontacted, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hubspot_owner_id']") as hubspot_owner_id, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['source_thread_id']") as source_thread_id, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_date_entered_1']") as hs_date_entered_1, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_date_entered_2']") as hs_date_entered_2, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_date_entered_3']") as hs_date_entered_3, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_date_entered_4']") as hs_date_entered_4, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_pipeline_stage']") as hs_pipeline_stage, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_last_email_date']") as hs_last_email_date, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_ticket_category']") as hs_ticket_category, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_ticket_priority']") as hs_ticket_priority, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_time_in_9231185']") as hs_time_in_9231185, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_time_in_9231187']") as hs_time_in_9231187, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_time_in_9231188']") as hs_time_in_9231188, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_time_in_9231195']") as hs_time_in_9231195, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_time_in_9231203']") as hs_time_in_9231203, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_time_in_9231204']") as hs_time_in_9231204, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['notes_last_updated']") as notes_last_updated, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['failed_repayment_id']") as failed_repayment_id, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_lastactivitydate']") as hs_lastactivitydate, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_lastmodifieddate']") as hs_lastmodifieddate, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_nextactivitydate']") as hs_nextactivitydate, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['num_contacted_notes']") as num_contacted_notes, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_merged_object_ids']") as hs_merged_object_ids, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['last_engagement_date']") as last_engagement_date, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['loan_balance_at_risk']") as loan_balance_at_risk, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['notes_last_contacted']") as notes_last_contacted, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['nps_follow_up_answer']") as nps_follow_up_answer, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['total_arrears_amount']") as total_arrears_amount, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_created_by_user_id']") as hs_created_by_user_id, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_msteams_message_id']") as hs_msteams_message_id, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_updated_by_user_id']") as hs_updated_by_user_id, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['first_agent_reply_date']") as first_agent_reply_date, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_date_exited_9231185']") as hs_date_exited_9231185, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_date_exited_9231187']") as hs_date_exited_9231187, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_date_exited_9231188']") as hs_date_exited_9231188, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_date_exited_9231195']") as hs_date_exited_9231195, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_date_exited_9231203']") as hs_date_exited_9231203, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_date_exited_9231204']") as hs_date_exited_9231204, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_external_object_ids']") as hs_external_object_ids, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_last_email_activity']") as hs_last_email_activity, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_num_times_contacted']") as hs_num_times_contacted, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_unique_creation_key']") as hs_unique_creation_key, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_date_entered_9231185']") as hs_date_entered_9231185, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_date_entered_9231187']") as hs_date_entered_9231187, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_date_entered_9231188']") as hs_date_entered_9231188, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_date_entered_9231195']") as hs_date_entered_9231195, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_date_entered_9231203']") as hs_date_entered_9231203, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_date_entered_9231204']") as hs_date_entered_9231204, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_last_message_sent_at']") as hs_last_message_sent_at, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_thread_ids_to_restore']") as hs_thread_ids_to_restore, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['notes_next_activity_date']") as notes_next_activity_date, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_user_ids_of_all_owners']") as hs_user_ids_of_all_owners, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['time_to_first_agent_reply']") as time_to_first_agent_reply, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_all_accessible_team_ids']") as hs_all_accessible_team_ids, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hubspot_owner_assigneddate']") as hubspot_owner_assigneddate, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_last_message_received_at']") as hs_last_message_received_at, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_num_associated_companies']") as hs_num_associated_companies, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_sales_email_last_replied']") as hs_sales_email_last_replied, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_first_agent_message_sent_at']") as hs_first_agent_message_sent_at, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['nps_follow_up_question_version']") as nps_follow_up_question_version, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_auto_generated_from_thread_id']") as hs_auto_generated_from_thread_id, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_all_assigned_business_unit_ids']") as hs_all_assigned_business_unit_ids, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_originating_email_engagement_id']") as hs_originating_email_engagement_id, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_latest_message_seen_by_agent_ids']") as hs_latest_message_seen_by_agent_ids, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_conversations_originating_thread_id']") as hs_conversations_originating_thread_id, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_conversations_originating_message_id']") as hs_conversations_originating_message_id, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_user_ids_of_all_notification_followers']") as hs_user_ids_of_all_notification_followers, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_user_ids_of_all_notification_unfollowers']") as hs_user_ids_of_all_notification_unfollowers, 2022-04-13 05:22:22 normalization > _airbyte_ab_id, 2022-04-13 05:22:22 normalization > _airbyte_emitted_at, 2022-04-13 05:22:22 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:22 normalization > from `mansagroup-datascience`.hubspot_.`tickets` as table_alias 2022-04-13 05:22:22 normalization > -- properties at tickets/properties 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > and properties is not null 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > ), __dbt__cte__tickets_properties_ab2 as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type 2022-04-13 05:22:22 normalization > -- depends_on: __dbt__cte__tickets_properties_ab1 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > _airbyte_tickets_hashid, 2022-04-13 05:22:22 normalization > cast(tags as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as tags, 2022-04-13 05:22:22 normalization > cast(content as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as content, 2022-04-13 05:22:22 normalization > cast(subject as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as subject, 2022-04-13 05:22:22 normalization > cast(nps_score as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as nps_score, 2022-04-13 05:22:22 normalization > cast(num_notes as 2022-04-13 05:22:22 normalization > float64 2022-04-13 05:22:22 normalization > ) as num_notes, 2022-04-13 05:22:22 normalization > cast(created_by as 2022-04-13 05:22:22 normalization > float64 2022-04-13 05:22:22 normalization > ) as created_by, 2022-04-13 05:22:22 normalization > cast(nullif(createdate, '') as 2022-04-13 05:22:22 normalization > timestamp 2022-04-13 05:22:22 normalization > ) as createdate, 2022-04-13 05:22:22 normalization > cast(source_ref as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as source_ref, 2022-04-13 05:22:22 normalization > cast(nullif(closed_date, '') as 2022-04-13 05:22:22 normalization > timestamp 2022-04-13 05:22:22 normalization > ) as closed_date, 2022-04-13 05:22:22 normalization > cast(nullif(date_closed, '') as 2022-04-13 05:22:22 normalization > date 2022-04-13 05:22:22 normalization > ) as date_closed, 2022-04-13 05:22:22 normalization > cast(hs_pipeline as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_pipeline, 2022-04-13 05:22:22 normalization > cast(source_type as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as source_type, 2022-04-13 05:22:22 normalization > cast(nullif(date_created, '') as 2022-04-13 05:22:22 normalization > date 2022-04-13 05:22:22 normalization > ) as date_created, 2022-04-13 05:22:22 normalization > cast(hs_object_id as 2022-04-13 05:22:22 normalization > float64 2022-04-13 05:22:22 normalization > ) as hs_object_id, 2022-04-13 05:22:22 normalization > cast(hs_ticket_id as 2022-04-13 05:22:22 normalization > float64 2022-04-13 05:22:22 normalization > ) as hs_ticket_id, 2022-04-13 05:22:22 normalization > cast(hs_time_in_1 as 2022-04-13 05:22:22 normalization > float64 2022-04-13 05:22:22 normalization > ) as hs_time_in_1, 2022-04-13 05:22:22 normalization > cast(hs_time_in_2 as 2022-04-13 05:22:22 normalization > float64 2022-04-13 05:22:22 normalization > ) as hs_time_in_2, 2022-04-13 05:22:22 normalization > cast(hs_time_in_3 as 2022-04-13 05:22:22 normalization > float64 2022-04-13 05:22:22 normalization > ) as hs_time_in_3, 2022-04-13 05:22:22 normalization > cast(hs_time_in_4 as 2022-04-13 05:22:22 normalization > float64 2022-04-13 05:22:22 normalization > ) as hs_time_in_4, 2022-04-13 05:22:22 normalization > cast(nullif(hs_createdate, '') as 2022-04-13 05:22:22 normalization > timestamp 2022-04-13 05:22:22 normalization > ) as hs_createdate, 2022-04-13 05:22:22 normalization > cast(hs_resolution as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_resolution, 2022-04-13 05:22:22 normalization > cast(time_to_close as 2022-04-13 05:22:22 normalization > float64 2022-04-13 05:22:22 normalization > ) as time_to_close, 2022-04-13 05:22:22 normalization > cast(hs_file_upload as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_file_upload, 2022-04-13 05:22:22 normalization > cast(hs_all_team_ids as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_all_team_ids, 2022-04-13 05:22:22 normalization > cast(hs_custom_inbox as 2022-04-13 05:22:22 normalization > float64 2022-04-13 05:22:22 normalization > ) as hs_custom_inbox, 2022-04-13 05:22:22 normalization > cast(hubspot_team_id as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hubspot_team_id, 2022-04-13 05:22:22 normalization > cast(nullif(last_reply_date, '') as 2022-04-13 05:22:22 normalization > timestamp 2022-04-13 05:22:22 normalization > ) as last_reply_date, 2022-04-13 05:22:22 normalization > cast(payment_default as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as payment_default, 2022-04-13 05:22:22 normalization > cast(hs_all_owner_ids as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_all_owner_ids, 2022-04-13 05:22:22 normalization > cast(nullif(hs_date_exited_1, '') as 2022-04-13 05:22:22 normalization > timestamp 2022-04-13 05:22:22 normalization > ) as hs_date_exited_1, 2022-04-13 05:22:22 normalization > cast(nullif(hs_date_exited_2, '') as 2022-04-13 05:22:22 normalization > timestamp 2022-04-13 05:22:22 normalization > ) as hs_date_exited_2, 2022-04-13 05:22:22 normalization > cast(nullif(hs_date_exited_3, '') as 2022-04-13 05:22:22 normalization > timestamp 2022-04-13 05:22:22 normalization > ) as hs_date_exited_3, 2022-04-13 05:22:22 normalization > cast(nullif(hs_date_exited_4, '') as 2022-04-13 05:22:22 normalization > timestamp 2022-04-13 05:22:22 normalization > ) as hs_date_exited_4, 2022-04-13 05:22:22 normalization > cast(nullif(hs_lastcontacted, '') as 2022-04-13 05:22:22 normalization > timestamp 2022-04-13 05:22:22 normalization > ) as hs_lastcontacted, 2022-04-13 05:22:22 normalization > cast(hubspot_owner_id as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hubspot_owner_id, 2022-04-13 05:22:22 normalization > cast(source_thread_id as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as source_thread_id, 2022-04-13 05:22:22 normalization > cast(nullif(hs_date_entered_1, '') as 2022-04-13 05:22:22 normalization > timestamp 2022-04-13 05:22:22 normalization > ) as hs_date_entered_1, 2022-04-13 05:22:22 normalization > cast(nullif(hs_date_entered_2, '') as 2022-04-13 05:22:22 normalization > timestamp 2022-04-13 05:22:22 normalization > ) as hs_date_entered_2, 2022-04-13 05:22:22 normalization > cast(nullif(hs_date_entered_3, '') as 2022-04-13 05:22:22 normalization > timestamp 2022-04-13 05:22:22 normalization > ) as hs_date_entered_3, 2022-04-13 05:22:22 normalization > cast(nullif(hs_date_entered_4, '') as 2022-04-13 05:22:22 normalization > timestamp 2022-04-13 05:22:22 normalization > ) as hs_date_entered_4, 2022-04-13 05:22:22 normalization > cast(hs_pipeline_stage as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_pipeline_stage, 2022-04-13 05:22:22 normalization > cast(nullif(hs_last_email_date, '') as 2022-04-13 05:22:22 normalization > timestamp 2022-04-13 05:22:22 normalization > ) as hs_last_email_date, 2022-04-13 05:22:22 normalization > cast(hs_ticket_category as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_ticket_category, 2022-04-13 05:22:22 normalization > cast(hs_ticket_priority as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_ticket_priority, 2022-04-13 05:22:22 normalization > cast(hs_time_in_9231185 as 2022-04-13 05:22:22 normalization > float64 2022-04-13 05:22:22 normalization > ) as hs_time_in_9231185, 2022-04-13 05:22:22 normalization > cast(hs_time_in_9231187 as 2022-04-13 05:22:22 normalization > float64 2022-04-13 05:22:22 normalization > ) as hs_time_in_9231187, 2022-04-13 05:22:22 normalization > cast(hs_time_in_9231188 as 2022-04-13 05:22:22 normalization > float64 2022-04-13 05:22:22 normalization > ) as hs_time_in_9231188, 2022-04-13 05:22:22 normalization > cast(hs_time_in_9231195 as 2022-04-13 05:22:22 normalization > float64 2022-04-13 05:22:22 normalization > ) as hs_time_in_9231195, 2022-04-13 05:22:22 normalization > cast(hs_time_in_9231203 as 2022-04-13 05:22:22 normalization > float64 2022-04-13 05:22:22 normalization > ) as hs_time_in_9231203, 2022-04-13 05:22:22 normalization > cast(hs_time_in_9231204 as 2022-04-13 05:22:22 normalization > float64 2022-04-13 05:22:22 normalization > ) as hs_time_in_9231204, 2022-04-13 05:22:22 normalization > cast(nullif(notes_last_updated, '') as 2022-04-13 05:22:22 normalization > timestamp 2022-04-13 05:22:22 normalization > ) as notes_last_updated, 2022-04-13 05:22:22 normalization > cast(failed_repayment_id as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as failed_repayment_id, 2022-04-13 05:22:22 normalization > cast(nullif(hs_lastactivitydate, '') as 2022-04-13 05:22:22 normalization > timestamp 2022-04-13 05:22:22 normalization > ) as hs_lastactivitydate, 2022-04-13 05:22:22 normalization > cast(nullif(hs_lastmodifieddate, '') as 2022-04-13 05:22:22 normalization > timestamp 2022-04-13 05:22:22 normalization > ) as hs_lastmodifieddate, 2022-04-13 05:22:22 normalization > cast(nullif(hs_nextactivitydate, '') as 2022-04-13 05:22:22 normalization > timestamp 2022-04-13 05:22:22 normalization > ) as hs_nextactivitydate, 2022-04-13 05:22:22 normalization > cast(num_contacted_notes as 2022-04-13 05:22:22 normalization > float64 2022-04-13 05:22:22 normalization > ) as num_contacted_notes, 2022-04-13 05:22:22 normalization > cast(hs_merged_object_ids as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_merged_object_ids, 2022-04-13 05:22:22 normalization > cast(nullif(last_engagement_date, '') as 2022-04-13 05:22:22 normalization > timestamp 2022-04-13 05:22:22 normalization > ) as last_engagement_date, 2022-04-13 05:22:22 normalization > cast(loan_balance_at_risk as 2022-04-13 05:22:22 normalization > float64 2022-04-13 05:22:22 normalization > ) as loan_balance_at_risk, 2022-04-13 05:22:22 normalization > cast(nullif(notes_last_contacted, '') as 2022-04-13 05:22:22 normalization > timestamp 2022-04-13 05:22:22 normalization > ) as notes_last_contacted, 2022-04-13 05:22:22 normalization > cast(nps_follow_up_answer as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as nps_follow_up_answer, 2022-04-13 05:22:22 normalization > cast(total_arrears_amount as 2022-04-13 05:22:22 normalization > float64 2022-04-13 05:22:22 normalization > ) as total_arrears_amount, 2022-04-13 05:22:22 normalization > cast(hs_created_by_user_id as 2022-04-13 05:22:22 normalization > float64 2022-04-13 05:22:22 normalization > ) as hs_created_by_user_id, 2022-04-13 05:22:22 normalization > cast(hs_msteams_message_id as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_msteams_message_id, 2022-04-13 05:22:22 normalization > cast(hs_updated_by_user_id as 2022-04-13 05:22:22 normalization > float64 2022-04-13 05:22:22 normalization > ) as hs_updated_by_user_id, 2022-04-13 05:22:22 normalization > cast(nullif(first_agent_reply_date, '') as 2022-04-13 05:22:22 normalization > timestamp 2022-04-13 05:22:22 normalization > ) as first_agent_reply_date, 2022-04-13 05:22:22 normalization > cast(nullif(hs_date_exited_9231185, '') as 2022-04-13 05:22:22 normalization > timestamp 2022-04-13 05:22:22 normalization > ) as hs_date_exited_9231185, 2022-04-13 05:22:22 normalization > cast(nullif(hs_date_exited_9231187, '') as 2022-04-13 05:22:22 normalization > timestamp 2022-04-13 05:22:22 normalization > ) as hs_date_exited_9231187, 2022-04-13 05:22:22 normalization > cast(nullif(hs_date_exited_9231188, '') as 2022-04-13 05:22:22 normalization > timestamp 2022-04-13 05:22:22 normalization > ) as hs_date_exited_9231188, 2022-04-13 05:22:22 normalization > cast(nullif(hs_date_exited_9231195, '') as 2022-04-13 05:22:22 normalization > timestamp 2022-04-13 05:22:22 normalization > ) as hs_date_exited_9231195, 2022-04-13 05:22:22 normalization > cast(nullif(hs_date_exited_9231203, '') as 2022-04-13 05:22:22 normalization > timestamp 2022-04-13 05:22:22 normalization > ) as hs_date_exited_9231203, 2022-04-13 05:22:22 normalization > cast(nullif(hs_date_exited_9231204, '') as 2022-04-13 05:22:22 normalization > timestamp 2022-04-13 05:22:22 normalization > ) as hs_date_exited_9231204, 2022-04-13 05:22:22 normalization > cast(hs_external_object_ids as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_external_object_ids, 2022-04-13 05:22:22 normalization > cast(hs_last_email_activity as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_last_email_activity, 2022-04-13 05:22:22 normalization > cast(hs_num_times_contacted as 2022-04-13 05:22:22 normalization > float64 2022-04-13 05:22:22 normalization > ) as hs_num_times_contacted, 2022-04-13 05:22:22 normalization > cast(hs_unique_creation_key as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_unique_creation_key, 2022-04-13 05:22:22 normalization > cast(nullif(hs_date_entered_9231185, '') as 2022-04-13 05:22:22 normalization > timestamp 2022-04-13 05:22:22 normalization > ) as hs_date_entered_9231185, 2022-04-13 05:22:22 normalization > cast(nullif(hs_date_entered_9231187, '') as 2022-04-13 05:22:22 normalization > timestamp 2022-04-13 05:22:22 normalization > ) as hs_date_entered_9231187, 2022-04-13 05:22:22 normalization > cast(nullif(hs_date_entered_9231188, '') as 2022-04-13 05:22:22 normalization > timestamp 2022-04-13 05:22:22 normalization > ) as hs_date_entered_9231188, 2022-04-13 05:22:22 normalization > cast(nullif(hs_date_entered_9231195, '') as 2022-04-13 05:22:22 normalization > timestamp 2022-04-13 05:22:22 normalization > ) as hs_date_entered_9231195, 2022-04-13 05:22:22 normalization > cast(nullif(hs_date_entered_9231203, '') as 2022-04-13 05:22:22 normalization > timestamp 2022-04-13 05:22:22 normalization > ) as hs_date_entered_9231203, 2022-04-13 05:22:22 normalization > cast(nullif(hs_date_entered_9231204, '') as 2022-04-13 05:22:22 normalization > timestamp 2022-04-13 05:22:22 normalization > ) as hs_date_entered_9231204, 2022-04-13 05:22:22 normalization > cast(nullif(hs_last_message_sent_at, '') as 2022-04-13 05:22:22 normalization > timestamp 2022-04-13 05:22:22 normalization > ) as hs_last_message_sent_at, 2022-04-13 05:22:22 normalization > cast(hs_thread_ids_to_restore as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_thread_ids_to_restore, 2022-04-13 05:22:22 normalization > cast(nullif(notes_next_activity_date, '') as 2022-04-13 05:22:22 normalization > timestamp 2022-04-13 05:22:22 normalization > ) as notes_next_activity_date, 2022-04-13 05:22:22 normalization > cast(hs_user_ids_of_all_owners as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_user_ids_of_all_owners, 2022-04-13 05:22:22 normalization > cast(time_to_first_agent_reply as 2022-04-13 05:22:22 normalization > float64 2022-04-13 05:22:22 normalization > ) as time_to_first_agent_reply, 2022-04-13 05:22:22 normalization > cast(hs_all_accessible_team_ids as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_all_accessible_team_ids, 2022-04-13 05:22:22 normalization > cast(nullif(hubspot_owner_assigneddate, '') as 2022-04-13 05:22:22 normalization > timestamp 2022-04-13 05:22:22 normalization > ) as hubspot_owner_assigneddate, 2022-04-13 05:22:22 normalization > cast(nullif(hs_last_message_received_at, '') as 2022-04-13 05:22:22 normalization > timestamp 2022-04-13 05:22:22 normalization > ) as hs_last_message_received_at, 2022-04-13 05:22:22 normalization > cast(hs_num_associated_companies as 2022-04-13 05:22:22 normalization > float64 2022-04-13 05:22:22 normalization > ) as hs_num_associated_companies, 2022-04-13 05:22:22 normalization > cast(nullif(hs_sales_email_last_replied, '') as 2022-04-13 05:22:22 normalization > timestamp 2022-04-13 05:22:22 normalization > ) as hs_sales_email_last_replied, 2022-04-13 05:22:22 normalization > cast(nullif(hs_first_agent_message_sent_at, '') as 2022-04-13 05:22:22 normalization > timestamp 2022-04-13 05:22:22 normalization > ) as hs_first_agent_message_sent_at, 2022-04-13 05:22:22 normalization > cast(nps_follow_up_question_version as 2022-04-13 05:22:22 normalization > float64 2022-04-13 05:22:22 normalization > ) as nps_follow_up_question_version, 2022-04-13 05:22:22 normalization > cast(hs_auto_generated_from_thread_id as 2022-04-13 05:22:22 normalization > float64 2022-04-13 05:22:22 normalization > ) as hs_auto_generated_from_thread_id, 2022-04-13 05:22:22 normalization > cast(hs_all_assigned_business_unit_ids as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_all_assigned_business_unit_ids, 2022-04-13 05:22:22 normalization > cast(hs_originating_email_engagement_id as 2022-04-13 05:22:22 normalization > float64 2022-04-13 05:22:22 normalization > ) as hs_originating_email_engagement_id, 2022-04-13 05:22:22 normalization > cast(hs_latest_message_seen_by_agent_ids as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_latest_message_seen_by_agent_ids, 2022-04-13 05:22:22 normalization > cast(hs_conversations_originating_thread_id as 2022-04-13 05:22:22 normalization > float64 2022-04-13 05:22:22 normalization > ) as hs_conversations_originating_thread_id, 2022-04-13 05:22:22 normalization > cast(hs_conversations_originating_message_id as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_conversations_originating_message_id, 2022-04-13 05:22:22 normalization > cast(hs_user_ids_of_all_notification_followers as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_user_ids_of_all_notification_followers, 2022-04-13 05:22:22 normalization > cast(hs_user_ids_of_all_notification_unfollowers as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_user_ids_of_all_notification_unfollowers, 2022-04-13 05:22:22 normalization > _airbyte_ab_id, 2022-04-13 05:22:22 normalization > _airbyte_emitted_at, 2022-04-13 05:22:22 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:22 normalization > from __dbt__cte__tickets_properties_ab1 2022-04-13 05:22:22 normalization > -- properties at tickets/properties 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > ), __dbt__cte__tickets_properties_ab3 as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > -- SQL model to build a hash column based on the values of this record 2022-04-13 05:22:22 normalization > -- depends_on: __dbt__cte__tickets_properties_ab2 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > to_hex(md5(cast(concat(coalesce(cast(_airbyte_tickets_hashid as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(tags as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(content as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(subject as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(nps_score as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(num_notes as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(created_by as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(createdate as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(source_ref as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(closed_date as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(date_closed as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_pipeline as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(source_type as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(date_created as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_object_id as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_ticket_id as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_time_in_1 as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_time_in_2 as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_time_in_3 as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_time_in_4 as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_createdate as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_resolution as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(time_to_close as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_file_upload as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_all_team_ids as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_custom_inbox as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hubspot_team_id as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(last_reply_date as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(payment_default as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_all_owner_ids as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_date_exited_1 as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_date_exited_2 as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_date_exited_3 as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_date_exited_4 as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_lastcontacted as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hubspot_owner_id as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(source_thread_id as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_date_entered_1 as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_date_entered_2 as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_date_entered_3 as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_date_entered_4 as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_pipeline_stage as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_last_email_date as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_ticket_category as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_ticket_priority as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_time_in_9231185 as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_time_in_9231187 as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_time_in_9231188 as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_time_in_9231195 as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_time_in_9231203 as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_time_in_9231204 as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(notes_last_updated as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(failed_repayment_id as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_lastactivitydate as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_lastmodifieddate as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_nextactivitydate as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(num_contacted_notes as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_merged_object_ids as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(last_engagement_date as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(loan_balance_at_risk as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(notes_last_contacted as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(nps_follow_up_answer as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(total_arrears_amount as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_created_by_user_id as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_msteams_message_id as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_updated_by_user_id as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(first_agent_reply_date as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_date_exited_9231185 as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_date_exited_9231187 as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_date_exited_9231188 as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_date_exited_9231195 as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_date_exited_9231203 as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_date_exited_9231204 as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_external_object_ids as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_last_email_activity as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_num_times_contacted as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_unique_creation_key as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_date_entered_9231185 as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_date_entered_9231187 as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_date_entered_9231188 as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_date_entered_9231195 as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_date_entered_9231203 as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_date_entered_9231204 as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_last_message_sent_at as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_thread_ids_to_restore as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(notes_next_activity_date as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_user_ids_of_all_owners as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(time_to_first_agent_reply as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_all_accessible_team_ids as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hubspot_owner_assigneddate as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_last_message_received_at as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_num_associated_companies as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_sales_email_last_replied as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_first_agent_message_sent_at as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(nps_follow_up_question_version as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_auto_generated_from_thread_id as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_all_assigned_business_unit_ids as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_originating_email_engagement_id as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_latest_message_seen_by_agent_ids as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_conversations_originating_thread_id as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_conversations_originating_message_id as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_user_ids_of_all_notification_followers as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_user_ids_of_all_notification_unfollowers as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), '')) as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ))) as _airbyte_properties_hashid, 2022-04-13 05:22:22 normalization > tmp.* 2022-04-13 05:22:22 normalization > from __dbt__cte__tickets_properties_ab2 tmp 2022-04-13 05:22:22 normalization > -- properties at tickets/properties 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > )-- Final base SQL model 2022-04-13 05:22:22 normalization > -- depends_on: __dbt__cte__tickets_properties_ab3 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > _airbyte_tickets_hashid, 2022-04-13 05:22:22 normalization > tags, 2022-04-13 05:22:22 normalization > content, 2022-04-13 05:22:22 normalization > subject, 2022-04-13 05:22:22 normalization > nps_score, 2022-04-13 05:22:22 normalization > num_notes, 2022-04-13 05:22:22 normalization > created_by, 2022-04-13 05:22:22 normalization > createdate, 2022-04-13 05:22:22 normalization > source_ref, 2022-04-13 05:22:22 normalization > closed_date, 2022-04-13 05:22:22 normalization > date_closed, 2022-04-13 05:22:22 normalization > hs_pipeline, 2022-04-13 05:22:22 normalization > source_type, 2022-04-13 05:22:22 normalization > date_created, 2022-04-13 05:22:22 normalization > hs_object_id, 2022-04-13 05:22:22 normalization > hs_ticket_id, 2022-04-13 05:22:22 normalization > hs_time_in_1, 2022-04-13 05:22:22 normalization > hs_time_in_2, 2022-04-13 05:22:22 normalization > hs_time_in_3, 2022-04-13 05:22:22 normalization > hs_time_in_4, 2022-04-13 05:22:22 normalization > hs_createdate, 2022-04-13 05:22:22 normalization > hs_resolution, 2022-04-13 05:22:22 normalization > time_to_close, 2022-04-13 05:22:22 normalization > hs_file_upload, 2022-04-13 05:22:22 normalization > hs_all_team_ids, 2022-04-13 05:22:22 normalization > hs_custom_inbox, 2022-04-13 05:22:22 normalization > hubspot_team_id, 2022-04-13 05:22:22 normalization > last_reply_date, 2022-04-13 05:22:22 normalization > payment_default, 2022-04-13 05:22:22 normalization > hs_all_owner_ids, 2022-04-13 05:22:22 normalization > hs_date_exited_1, 2022-04-13 05:22:22 normalization > hs_date_exited_2, 2022-04-13 05:22:22 normalization > hs_date_exited_3, 2022-04-13 05:22:22 normalization > hs_date_exited_4, 2022-04-13 05:22:22 normalization > hs_lastcontacted, 2022-04-13 05:22:22 normalization > hubspot_owner_id, 2022-04-13 05:22:22 normalization > source_thread_id, 2022-04-13 05:22:22 normalization > hs_date_entered_1, 2022-04-13 05:22:22 normalization > hs_date_entered_2, 2022-04-13 05:22:22 normalization > hs_date_entered_3, 2022-04-13 05:22:22 normalization > hs_date_entered_4, 2022-04-13 05:22:22 normalization > hs_pipeline_stage, 2022-04-13 05:22:22 normalization > hs_last_email_date, 2022-04-13 05:22:22 normalization > hs_ticket_category, 2022-04-13 05:22:22 normalization > hs_ticket_priority, 2022-04-13 05:22:22 normalization > hs_time_in_9231185, 2022-04-13 05:22:22 normalization > hs_time_in_9231187, 2022-04-13 05:22:22 normalization > hs_time_in_9231188, 2022-04-13 05:22:22 normalization > hs_time_in_9231195, 2022-04-13 05:22:22 normalization > hs_time_in_9231203, 2022-04-13 05:22:22 normalization > hs_time_in_9231204, 2022-04-13 05:22:22 normalization > notes_last_updated, 2022-04-13 05:22:22 normalization > failed_repayment_id, 2022-04-13 05:22:22 normalization > hs_lastactivitydate, 2022-04-13 05:22:22 normalization > hs_lastmodifieddate, 2022-04-13 05:22:22 normalization > hs_nextactivitydate, 2022-04-13 05:22:22 normalization > num_contacted_notes, 2022-04-13 05:22:22 normalization > hs_merged_object_ids, 2022-04-13 05:22:22 normalization > last_engagement_date, 2022-04-13 05:22:22 normalization > loan_balance_at_risk, 2022-04-13 05:22:22 normalization > notes_last_contacted, 2022-04-13 05:22:22 normalization > nps_follow_up_answer, 2022-04-13 05:22:22 normalization > total_arrears_amount, 2022-04-13 05:22:22 normalization > hs_created_by_user_id, 2022-04-13 05:22:22 normalization > hs_msteams_message_id, 2022-04-13 05:22:22 normalization > hs_updated_by_user_id, 2022-04-13 05:22:22 normalization > first_agent_reply_date, 2022-04-13 05:22:22 normalization > hs_date_exited_9231185, 2022-04-13 05:22:22 normalization > hs_date_exited_9231187, 2022-04-13 05:22:22 normalization > hs_date_exited_9231188, 2022-04-13 05:22:22 normalization > hs_date_exited_9231195, 2022-04-13 05:22:22 normalization > hs_date_exited_9231203, 2022-04-13 05:22:22 normalization > hs_date_exited_9231204, 2022-04-13 05:22:22 normalization > hs_external_object_ids, 2022-04-13 05:22:22 normalization > hs_last_email_activity, 2022-04-13 05:22:22 normalization > hs_num_times_contacted, 2022-04-13 05:22:22 normalization > hs_unique_creation_key, 2022-04-13 05:22:22 normalization > hs_date_entered_9231185, 2022-04-13 05:22:22 normalization > hs_date_entered_9231187, 2022-04-13 05:22:22 normalization > hs_date_entered_9231188, 2022-04-13 05:22:22 normalization > hs_date_entered_9231195, 2022-04-13 05:22:22 normalization > hs_date_entered_9231203, 2022-04-13 05:22:22 normalization > hs_date_entered_9231204, 2022-04-13 05:22:22 normalization > hs_last_message_sent_at, 2022-04-13 05:22:22 normalization > hs_thread_ids_to_restore, 2022-04-13 05:22:22 normalization > notes_next_activity_date, 2022-04-13 05:22:22 normalization > hs_user_ids_of_all_owners, 2022-04-13 05:22:22 normalization > time_to_first_agent_reply, 2022-04-13 05:22:22 normalization > hs_all_accessible_team_ids, 2022-04-13 05:22:22 normalization > hubspot_owner_assigneddate, 2022-04-13 05:22:22 normalization > hs_last_message_received_at, 2022-04-13 05:22:22 normalization > hs_num_associated_companies, 2022-04-13 05:22:22 normalization > hs_sales_email_last_replied, 2022-04-13 05:22:22 normalization > hs_first_agent_message_sent_at, 2022-04-13 05:22:22 normalization > nps_follow_up_question_version, 2022-04-13 05:22:22 normalization > hs_auto_generated_from_thread_id, 2022-04-13 05:22:22 normalization > hs_all_assigned_business_unit_ids, 2022-04-13 05:22:22 normalization > hs_originating_email_engagement_id, 2022-04-13 05:22:22 normalization > hs_latest_message_seen_by_agent_ids, 2022-04-13 05:22:22 normalization > hs_conversations_originating_thread_id, 2022-04-13 05:22:22 normalization > hs_conversations_originating_message_id, 2022-04-13 05:22:22 normalization > hs_user_ids_of_all_notification_followers, 2022-04-13 05:22:22 normalization > hs_user_ids_of_all_notification_unfollowers, 2022-04-13 05:22:22 normalization > _airbyte_ab_id, 2022-04-13 05:22:22 normalization > _airbyte_emitted_at, 2022-04-13 05:22:22 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at, 2022-04-13 05:22:22 normalization > _airbyte_properties_hashid 2022-04-13 05:22:22 normalization > from __dbt__cte__tickets_properties_ab3 2022-04-13 05:22:22 normalization > -- properties at tickets/properties from `mansagroup-datascience`.hubspot_.`tickets` 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > and coalesce( 2022-04-13 05:22:22 normalization > cast(_airbyte_emitted_at as 2022-04-13 05:22:22 normalization > timestamp 2022-04-13 05:22:22 normalization > ) >= (select max(cast(_airbyte_emitted_at as 2022-04-13 05:22:22 normalization > timestamp 2022-04-13 05:22:22 normalization > )) from `mansagroup-datascience`.hubspot_.`tickets_properties`), 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > true) 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > ); 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 05:04:20.908890 [debug] [Thread-6 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:04:20.909554 [info ] [Thread-6 ]: 8 of 77 OK created incremental model hubspot_.email_events.............................................................. [MERGE (218.0k rows, 99.4 MB processed) in 75.97s] 2022-04-13 05:22:22 normalization > 05:04:20.909987 [debug] [Thread-6 ]: Finished running node model.airbyte_utils.email_events 2022-04-13 05:22:22 normalization > 05:04:20.910240 [debug] [Thread-6 ]: Began running node model.airbyte_utils.engagements_tasks_properties_ab1 2022-04-13 05:22:22 normalization > 05:04:20.910829 [debug] [Thread-6 ]: Acquiring new bigquery connection "model.airbyte_utils.engagements_tasks_properties_ab1" 2022-04-13 05:22:22 normalization > 05:04:20.911244 [debug] [Thread-6 ]: Began compiling node model.airbyte_utils.engagements_tasks_properties_ab1 2022-04-13 05:22:22 normalization > 05:04:20.911477 [debug] [Thread-6 ]: Compiling model.airbyte_utils.engagements_tasks_properties_ab1 2022-04-13 05:22:22 normalization > 05:04:20.961775 [debug] [Thread-6 ]: On "model.airbyte_utils.engagements_tasks_properties_ab1": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:22 normalization > 05:04:20.961983 [debug] [Thread-6 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:22 normalization > 05:04:20.985882 [debug] [Thread-1 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:04:20.986688 [info ] [Thread-1 ]: 48 of 77 OK created incremental model hubspot_.products_properties...................................................... [MERGE (0.0 rows, 0 processed) in 4.15s] 2022-04-13 05:22:22 normalization > 05:04:20.987345 [debug] [Thread-1 ]: Finished running node model.airbyte_utils.products_properties 2022-04-13 05:22:22 normalization > 05:04:20.987635 [debug] [Thread-1 ]: Began running node model.airbyte_utils.engagements_notes_properties_ab1 2022-04-13 05:22:22 normalization > 05:04:20.988147 [debug] [Thread-1 ]: Acquiring new bigquery connection "model.airbyte_utils.engagements_notes_properties_ab1" 2022-04-13 05:22:22 normalization > 05:04:20.988364 [debug] [Thread-1 ]: Began compiling node model.airbyte_utils.engagements_notes_properties_ab1 2022-04-13 05:22:22 normalization > 05:04:20.988542 [debug] [Thread-1 ]: Compiling model.airbyte_utils.engagements_notes_properties_ab1 2022-04-13 05:22:22 normalization > 05:04:21.016506 [debug] [Thread-1 ]: On "model.airbyte_utils.engagements_notes_properties_ab1": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:22 normalization > 05:04:21.018306 [debug] [Thread-1 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:22 normalization > 05:04:21.291277 [debug] [Thread-6 ]: Writing injected SQL for node "model.airbyte_utils.engagements_tasks_properties_ab1" 2022-04-13 05:22:22 normalization > 05:04:21.291703 [debug] [Thread-6 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:04:21.292159 [debug] [Thread-6 ]: Finished running node model.airbyte_utils.engagements_tasks_properties_ab1 2022-04-13 05:22:22 normalization > 05:04:21.292437 [debug] [Thread-6 ]: Began running node model.airbyte_utils.subscription_changes_changes_causedByEvent_ab1 2022-04-13 05:22:22 normalization > 05:04:21.292981 [debug] [Thread-6 ]: Acquiring new bigquery connection "model.airbyte_utils.subscription_changes_changes_causedByEvent_ab1" 2022-04-13 05:22:22 normalization > 05:04:21.293220 [debug] [Thread-6 ]: Began compiling node model.airbyte_utils.subscription_changes_changes_causedByEvent_ab1 2022-04-13 05:22:22 normalization > 05:04:21.293554 [debug] [Thread-6 ]: Compiling model.airbyte_utils.subscription_changes_changes_causedByEvent_ab1 2022-04-13 05:22:22 normalization > 05:04:21.303158 [debug] [Thread-6 ]: On "model.airbyte_utils.subscription_changes_changes_causedByEvent_ab1": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:22 normalization > 05:04:21.303417 [debug] [Thread-6 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:22 normalization > 05:04:21.304392 [debug] [Thread-1 ]: Writing injected SQL for node "model.airbyte_utils.engagements_notes_properties_ab1" 2022-04-13 05:22:22 normalization > 05:04:21.304777 [debug] [Thread-1 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:04:21.305332 [debug] [Thread-1 ]: Finished running node model.airbyte_utils.engagements_notes_properties_ab1 2022-04-13 05:22:22 normalization > 05:04:21.305649 [debug] [Thread-1 ]: Began running node model.airbyte_utils.deal_pipelines_stages_metadata_ab2 2022-04-13 05:22:22 normalization > 05:04:21.306284 [debug] [Thread-1 ]: Acquiring new bigquery connection "model.airbyte_utils.deal_pipelines_stages_metadata_ab2" 2022-04-13 05:22:22 normalization > 05:04:21.306679 [debug] [Thread-1 ]: Began compiling node model.airbyte_utils.deal_pipelines_stages_metadata_ab2 2022-04-13 05:22:22 normalization > 05:04:21.306957 [debug] [Thread-1 ]: Compiling model.airbyte_utils.deal_pipelines_stages_metadata_ab2 2022-04-13 05:22:22 normalization > 05:04:21.317635 [debug] [Thread-1 ]: Writing injected SQL for node "model.airbyte_utils.deal_pipelines_stages_metadata_ab2" 2022-04-13 05:22:22 normalization > 05:04:21.318864 [debug] [Thread-1 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:04:21.319423 [debug] [Thread-1 ]: Finished running node model.airbyte_utils.deal_pipelines_stages_metadata_ab2 2022-04-13 05:22:22 normalization > 05:04:21.319743 [debug] [Thread-1 ]: Began running node model.airbyte_utils.forms_configuration_postSubmitAction_ab2 2022-04-13 05:22:22 normalization > 05:04:21.320291 [debug] [Thread-1 ]: Acquiring new bigquery connection "model.airbyte_utils.forms_configuration_postSubmitAction_ab2" 2022-04-13 05:22:22 normalization > 05:04:21.322242 [debug] [Thread-1 ]: Began compiling node model.airbyte_utils.forms_configuration_postSubmitAction_ab2 2022-04-13 05:22:22 normalization > 05:04:21.322435 [debug] [Thread-1 ]: Compiling model.airbyte_utils.forms_configuration_postSubmitAction_ab2 2022-04-13 05:22:22 normalization > 05:04:21.331633 [debug] [Thread-1 ]: Writing injected SQL for node "model.airbyte_utils.forms_configuration_postSubmitAction_ab2" 2022-04-13 05:22:22 normalization > 05:04:21.332042 [debug] [Thread-1 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:04:21.332465 [debug] [Thread-1 ]: Finished running node model.airbyte_utils.forms_configuration_postSubmitAction_ab2 2022-04-13 05:22:22 normalization > 05:04:21.332779 [debug] [Thread-1 ]: Began running node model.airbyte_utils.forms_displayOptions_style_ab2 2022-04-13 05:22:22 normalization > 05:04:21.333585 [debug] [Thread-1 ]: Acquiring new bigquery connection "model.airbyte_utils.forms_displayOptions_style_ab2" 2022-04-13 05:22:22 normalization > 05:04:21.333975 [debug] [Thread-1 ]: Began compiling node model.airbyte_utils.forms_displayOptions_style_ab2 2022-04-13 05:22:22 normalization > 05:04:21.334272 [debug] [Thread-1 ]: Compiling model.airbyte_utils.forms_displayOptions_style_ab2 2022-04-13 05:22:22 normalization > 05:04:21.356978 [debug] [Thread-1 ]: Writing injected SQL for node "model.airbyte_utils.forms_displayOptions_style_ab2" 2022-04-13 05:22:22 normalization > 05:04:21.357365 [debug] [Thread-1 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:04:21.357907 [debug] [Thread-1 ]: Finished running node model.airbyte_utils.forms_displayOptions_style_ab2 2022-04-13 05:22:22 normalization > 05:04:21.358242 [debug] [Thread-1 ]: Began running node model.airbyte_utils.forms_fieldGroups_fields_ab2 2022-04-13 05:22:22 normalization > 05:04:21.358974 [debug] [Thread-1 ]: Acquiring new bigquery connection "model.airbyte_utils.forms_fieldGroups_fields_ab2" 2022-04-13 05:22:22 normalization > 05:04:21.359362 [debug] [Thread-1 ]: Began compiling node model.airbyte_utils.forms_fieldGroups_fields_ab2 2022-04-13 05:22:22 normalization > 05:04:21.359643 [debug] [Thread-1 ]: Compiling model.airbyte_utils.forms_fieldGroups_fields_ab2 2022-04-13 05:22:22 normalization > 05:04:21.372724 [debug] [Thread-1 ]: Writing injected SQL for node "model.airbyte_utils.forms_fieldGroups_fields_ab2" 2022-04-13 05:22:22 normalization > 05:04:21.373631 [debug] [Thread-1 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:04:21.375701 [debug] [Thread-1 ]: Finished running node model.airbyte_utils.forms_fieldGroups_fields_ab2 2022-04-13 05:22:22 normalization > 05:04:21.376261 [debug] [Thread-1 ]: Began running node model.airbyte_utils.ticket_pipelines_stages_metadata_ab2 2022-04-13 05:22:22 normalization > 05:04:21.376755 [debug] [Thread-1 ]: Finished running node model.airbyte_utils.ticket_pipelines_stages_metadata_ab2 2022-04-13 05:22:22 normalization > 05:04:21.376999 [debug] [Thread-1 ]: Began running node model.airbyte_utils.engagements_emails_properties_ab1 2022-04-13 05:22:22 normalization > 05:04:21.377463 [debug] [Thread-1 ]: Acquiring new bigquery connection "model.airbyte_utils.engagements_emails_properties_ab1" 2022-04-13 05:22:22 normalization > 05:04:21.377741 [debug] [Thread-1 ]: Began compiling node model.airbyte_utils.engagements_emails_properties_ab1 2022-04-13 05:22:22 normalization > 05:04:21.377937 [debug] [Thread-1 ]: Compiling model.airbyte_utils.engagements_emails_properties_ab1 2022-04-13 05:22:22 normalization > 05:04:21.444188 [debug] [Thread-1 ]: On "model.airbyte_utils.engagements_emails_properties_ab1": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:22 normalization > 05:04:21.444600 [debug] [Thread-1 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:22 normalization > 05:04:21.685418 [debug] [Thread-1 ]: Writing injected SQL for node "model.airbyte_utils.engagements_emails_properties_ab1" 2022-04-13 05:22:22 normalization > 05:04:21.685819 [debug] [Thread-1 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:04:21.686298 [debug] [Thread-1 ]: Finished running node model.airbyte_utils.engagements_emails_properties_ab1 2022-04-13 05:22:22 normalization > 05:04:21.686533 [debug] [Thread-1 ]: Began running node model.airbyte_utils.marketing_emails_stats_counters_ab2 2022-04-13 05:22:22 normalization > 05:04:21.687058 [debug] [Thread-1 ]: Acquiring new bigquery connection "model.airbyte_utils.marketing_emails_stats_counters_ab2" 2022-04-13 05:22:22 normalization > 05:04:21.687381 [debug] [Thread-1 ]: Began compiling node model.airbyte_utils.marketing_emails_stats_counters_ab2 2022-04-13 05:22:22 normalization > 05:04:21.687548 [debug] [Thread-1 ]: Compiling model.airbyte_utils.marketing_emails_stats_counters_ab2 2022-04-13 05:22:22 normalization > 05:04:21.715450 [debug] [Thread-1 ]: Writing injected SQL for node "model.airbyte_utils.marketing_emails_stats_counters_ab2" 2022-04-13 05:22:22 normalization > 05:04:21.715923 [debug] [Thread-6 ]: Writing injected SQL for node "model.airbyte_utils.subscription_changes_changes_causedByEvent_ab1" 2022-04-13 05:22:22 normalization > 05:04:21.716352 [debug] [Thread-1 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:04:21.716832 [debug] [Thread-1 ]: Finished running node model.airbyte_utils.marketing_emails_stats_counters_ab2 2022-04-13 05:22:22 normalization > 05:04:21.717089 [debug] [Thread-1 ]: Began running node model.airbyte_utils.marketing_emails_stats_deviceBreakdown_ab2 2022-04-13 05:22:22 normalization > 05:04:21.717271 [debug] [Thread-6 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:04:21.717871 [debug] [Thread-1 ]: Acquiring new bigquery connection "model.airbyte_utils.marketing_emails_stats_deviceBreakdown_ab2" 2022-04-13 05:22:22 normalization > 05:04:21.718347 [debug] [Thread-6 ]: Finished running node model.airbyte_utils.subscription_changes_changes_causedByEvent_ab1 2022-04-13 05:22:22 normalization > 05:04:21.718568 [debug] [Thread-1 ]: Began compiling node model.airbyte_utils.marketing_emails_stats_deviceBreakdown_ab2 2022-04-13 05:22:22 normalization > 05:04:21.718813 [debug] [Thread-6 ]: Began running node model.airbyte_utils.marketing_emails_stats_ratios_ab2 2022-04-13 05:22:22 normalization > 05:04:21.719138 [debug] [Thread-1 ]: Compiling model.airbyte_utils.marketing_emails_stats_deviceBreakdown_ab2 2022-04-13 05:22:22 normalization > 05:04:21.719625 [debug] [Thread-6 ]: Acquiring new bigquery connection "model.airbyte_utils.marketing_emails_stats_ratios_ab2" 2022-04-13 05:22:22 normalization > 05:04:21.728521 [debug] [Thread-1 ]: Writing injected SQL for node "model.airbyte_utils.marketing_emails_stats_deviceBreakdown_ab2" 2022-04-13 05:22:22 normalization > 05:04:21.728721 [debug] [Thread-6 ]: Began compiling node model.airbyte_utils.marketing_emails_stats_ratios_ab2 2022-04-13 05:22:22 normalization > 05:04:21.729567 [debug] [Thread-6 ]: Compiling model.airbyte_utils.marketing_emails_stats_ratios_ab2 2022-04-13 05:22:22 normalization > 05:04:21.729812 [debug] [Thread-1 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:04:21.756760 [debug] [Thread-6 ]: Writing injected SQL for node "model.airbyte_utils.marketing_emails_stats_ratios_ab2" 2022-04-13 05:22:22 normalization > 05:04:21.757313 [debug] [Thread-1 ]: Finished running node model.airbyte_utils.marketing_emails_stats_deviceBreakdown_ab2 2022-04-13 05:22:22 normalization > 05:04:21.757699 [debug] [Thread-1 ]: Began running node model.airbyte_utils.email_events_browser_ab1 2022-04-13 05:22:22 normalization > 05:04:21.758146 [debug] [Thread-1 ]: Acquiring new bigquery connection "model.airbyte_utils.email_events_browser_ab1" 2022-04-13 05:22:22 normalization > 05:04:21.758800 [debug] [Thread-1 ]: Began compiling node model.airbyte_utils.email_events_browser_ab1 2022-04-13 05:22:22 normalization > 05:04:21.759020 [debug] [Thread-6 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:04:21.759217 [debug] [Thread-1 ]: Compiling model.airbyte_utils.email_events_browser_ab1 2022-04-13 05:22:22 normalization > 05:04:21.759647 [debug] [Thread-6 ]: Finished running node model.airbyte_utils.marketing_emails_stats_ratios_ab2 2022-04-13 05:22:22 normalization > 05:04:21.770219 [debug] [Thread-6 ]: Began running node model.airbyte_utils.email_events_causedBy_ab1 2022-04-13 05:22:22 normalization > 05:04:21.770770 [debug] [Thread-1 ]: On "model.airbyte_utils.email_events_browser_ab1": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:22 normalization > 05:04:21.771263 [debug] [Thread-6 ]: Acquiring new bigquery connection "model.airbyte_utils.email_events_causedBy_ab1" 2022-04-13 05:22:22 normalization > 05:04:21.771654 [debug] [Thread-1 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:22 normalization > 05:04:21.771954 [debug] [Thread-6 ]: Began compiling node model.airbyte_utils.email_events_causedBy_ab1 2022-04-13 05:22:22 normalization > 05:04:21.772425 [debug] [Thread-6 ]: Compiling model.airbyte_utils.email_events_causedBy_ab1 2022-04-13 05:22:22 normalization > 05:04:21.780171 [debug] [Thread-6 ]: On "model.airbyte_utils.email_events_causedBy_ab1": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:22 normalization > 05:04:21.780433 [debug] [Thread-6 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:22 normalization > 05:04:21.934239 [debug] [Thread-8 ]: 2022-04-13 05:22:22 normalization > In `mansagroup-datascience`.`hubspot_`.`tickets_properties`: 2022-04-13 05:22:22 normalization > Schema changed: False 2022-04-13 05:22:22 normalization > Source columns not in target: [] 2022-04-13 05:22:22 normalization > Target columns not in source: [] 2022-04-13 05:22:22 normalization > New column types: [] 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 05:04:21.936748 [debug] [Thread-8 ]: Writing runtime SQL for node "model.airbyte_utils.tickets_properties" 2022-04-13 05:22:22 normalization > 05:04:21.937120 [debug] [Thread-8 ]: On model.airbyte_utils.tickets_properties: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.tickets_properties"} */ 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > merge into `mansagroup-datascience`.hubspot_.`tickets_properties` as DBT_INTERNAL_DEST 2022-04-13 05:22:22 normalization > using ( 2022-04-13 05:22:22 normalization > select * from `mansagroup-datascience`.hubspot_.`tickets_properties__dbt_tmp` 2022-04-13 05:22:22 normalization > ) as DBT_INTERNAL_SOURCE 2022-04-13 05:22:22 normalization > on FALSE 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > when not matched then insert 2022-04-13 05:22:22 normalization > (`_airbyte_tickets_hashid`, `tags`, `content`, `subject`, `nps_score`, `num_notes`, `created_by`, `createdate`, `source_ref`, `closed_date`, `date_closed`, `hs_pipeline`, `source_type`, `date_created`, `hs_object_id`, `hs_ticket_id`, `hs_time_in_1`, `hs_time_in_2`, `hs_time_in_3`, `hs_time_in_4`, `hs_createdate`, `hs_resolution`, `time_to_close`, `hs_file_upload`, `hs_all_team_ids`, `hs_custom_inbox`, `hubspot_team_id`, `last_reply_date`, `payment_default`, `hs_all_owner_ids`, `hs_date_exited_1`, `hs_date_exited_2`, `hs_date_exited_3`, `hs_date_exited_4`, `hs_lastcontacted`, `hubspot_owner_id`, `source_thread_id`, `hs_date_entered_1`, `hs_date_entered_2`, `hs_date_entered_3`, `hs_date_entered_4`, `hs_pipeline_stage`, `hs_last_email_date`, `hs_ticket_category`, `hs_ticket_priority`, `hs_time_in_9231185`, `hs_time_in_9231187`, `hs_time_in_9231188`, `hs_time_in_9231195`, `hs_time_in_9231203`, `hs_time_in_9231204`, `notes_last_updated`, `failed_repayment_id`, `hs_lastactivitydate`, `hs_lastmodifieddate`, `hs_nextactivitydate`, `num_contacted_notes`, `hs_merged_object_ids`, `last_engagement_date`, `loan_balance_at_risk`, `notes_last_contacted`, `nps_follow_up_answer`, `total_arrears_amount`, `hs_created_by_user_id`, `hs_msteams_message_id`, `hs_updated_by_user_id`, `first_agent_reply_date`, `hs_date_exited_9231185`, `hs_date_exited_9231187`, `hs_date_exited_9231188`, `hs_date_exited_9231195`, `hs_date_exited_9231203`, `hs_date_exited_9231204`, `hs_external_object_ids`, `hs_last_email_activity`, `hs_num_times_contacted`, `hs_unique_creation_key`, `hs_date_entered_9231185`, `hs_date_entered_9231187`, `hs_date_entered_9231188`, `hs_date_entered_9231195`, `hs_date_entered_9231203`, `hs_date_entered_9231204`, `hs_last_message_sent_at`, `hs_thread_ids_to_restore`, `notes_next_activity_date`, `hs_user_ids_of_all_owners`, `time_to_first_agent_reply`, `hs_all_accessible_team_ids`, `hubspot_owner_assigneddate`, `hs_last_message_received_at`, `hs_num_associated_companies`, `hs_sales_email_last_replied`, `hs_first_agent_message_sent_at`, `nps_follow_up_question_version`, `hs_auto_generated_from_thread_id`, `hs_all_assigned_business_unit_ids`, `hs_originating_email_engagement_id`, `hs_latest_message_seen_by_agent_ids`, `hs_conversations_originating_thread_id`, `hs_conversations_originating_message_id`, `hs_user_ids_of_all_notification_followers`, `hs_user_ids_of_all_notification_unfollowers`, `_airbyte_ab_id`, `_airbyte_emitted_at`, `_airbyte_normalized_at`, `_airbyte_properties_hashid`) 2022-04-13 05:22:22 normalization > values 2022-04-13 05:22:22 normalization > (`_airbyte_tickets_hashid`, `tags`, `content`, `subject`, `nps_score`, `num_notes`, `created_by`, `createdate`, `source_ref`, `closed_date`, `date_closed`, `hs_pipeline`, `source_type`, `date_created`, `hs_object_id`, `hs_ticket_id`, `hs_time_in_1`, `hs_time_in_2`, `hs_time_in_3`, `hs_time_in_4`, `hs_createdate`, `hs_resolution`, `time_to_close`, `hs_file_upload`, `hs_all_team_ids`, `hs_custom_inbox`, `hubspot_team_id`, `last_reply_date`, `payment_default`, `hs_all_owner_ids`, `hs_date_exited_1`, `hs_date_exited_2`, `hs_date_exited_3`, `hs_date_exited_4`, `hs_lastcontacted`, `hubspot_owner_id`, `source_thread_id`, `hs_date_entered_1`, `hs_date_entered_2`, `hs_date_entered_3`, `hs_date_entered_4`, `hs_pipeline_stage`, `hs_last_email_date`, `hs_ticket_category`, `hs_ticket_priority`, `hs_time_in_9231185`, `hs_time_in_9231187`, `hs_time_in_9231188`, `hs_time_in_9231195`, `hs_time_in_9231203`, `hs_time_in_9231204`, `notes_last_updated`, `failed_repayment_id`, `hs_lastactivitydate`, `hs_lastmodifieddate`, `hs_nextactivitydate`, `num_contacted_notes`, `hs_merged_object_ids`, `last_engagement_date`, `loan_balance_at_risk`, `notes_last_contacted`, `nps_follow_up_answer`, `total_arrears_amount`, `hs_created_by_user_id`, `hs_msteams_message_id`, `hs_updated_by_user_id`, `first_agent_reply_date`, `hs_date_exited_9231185`, `hs_date_exited_9231187`, `hs_date_exited_9231188`, `hs_date_exited_9231195`, `hs_date_exited_9231203`, `hs_date_exited_9231204`, `hs_external_object_ids`, `hs_last_email_activity`, `hs_num_times_contacted`, `hs_unique_creation_key`, `hs_date_entered_9231185`, `hs_date_entered_9231187`, `hs_date_entered_9231188`, `hs_date_entered_9231195`, `hs_date_entered_9231203`, `hs_date_entered_9231204`, `hs_last_message_sent_at`, `hs_thread_ids_to_restore`, `notes_next_activity_date`, `hs_user_ids_of_all_owners`, `time_to_first_agent_reply`, `hs_all_accessible_team_ids`, `hubspot_owner_assigneddate`, `hs_last_message_received_at`, `hs_num_associated_companies`, `hs_sales_email_last_replied`, `hs_first_agent_message_sent_at`, `nps_follow_up_question_version`, `hs_auto_generated_from_thread_id`, `hs_all_assigned_business_unit_ids`, `hs_originating_email_engagement_id`, `hs_latest_message_seen_by_agent_ids`, `hs_conversations_originating_thread_id`, `hs_conversations_originating_message_id`, `hs_user_ids_of_all_notification_followers`, `hs_user_ids_of_all_notification_unfollowers`, `_airbyte_ab_id`, `_airbyte_emitted_at`, `_airbyte_normalized_at`, `_airbyte_properties_hashid`) 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 05:04:22.067905 [debug] [Thread-1 ]: Writing injected SQL for node "model.airbyte_utils.email_events_browser_ab1" 2022-04-13 05:22:22 normalization > 05:04:22.068292 [debug] [Thread-1 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:04:22.068746 [debug] [Thread-1 ]: Finished running node model.airbyte_utils.email_events_browser_ab1 2022-04-13 05:22:22 normalization > 05:04:22.068968 [debug] [Thread-1 ]: Began running node model.airbyte_utils.email_events_location_ab1 2022-04-13 05:22:22 normalization > 05:04:22.069512 [debug] [Thread-1 ]: Acquiring new bigquery connection "model.airbyte_utils.email_events_location_ab1" 2022-04-13 05:22:22 normalization > 05:04:22.069834 [debug] [Thread-1 ]: Began compiling node model.airbyte_utils.email_events_location_ab1 2022-04-13 05:22:22 normalization > 05:04:22.070010 [debug] [Thread-1 ]: Compiling model.airbyte_utils.email_events_location_ab1 2022-04-13 05:22:22 normalization > 05:04:22.079668 [debug] [Thread-1 ]: On "model.airbyte_utils.email_events_location_ab1": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:22 normalization > 05:04:22.079907 [debug] [Thread-1 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:22 normalization > 05:04:22.080342 [debug] [Thread-6 ]: Writing injected SQL for node "model.airbyte_utils.email_events_causedBy_ab1" 2022-04-13 05:22:22 normalization > 05:04:22.080819 [debug] [Thread-6 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:04:22.081190 [debug] [Thread-6 ]: Finished running node model.airbyte_utils.email_events_causedBy_ab1 2022-04-13 05:22:22 normalization > 05:04:22.081434 [debug] [Thread-6 ]: Began running node model.airbyte_utils.email_events_obsoletedBy_ab1 2022-04-13 05:22:22 normalization > 05:04:22.081886 [debug] [Thread-6 ]: Acquiring new bigquery connection "model.airbyte_utils.email_events_obsoletedBy_ab1" 2022-04-13 05:22:22 normalization > 05:04:22.082090 [debug] [Thread-6 ]: Began compiling node model.airbyte_utils.email_events_obsoletedBy_ab1 2022-04-13 05:22:22 normalization > 05:04:22.082382 [debug] [Thread-6 ]: Compiling model.airbyte_utils.email_events_obsoletedBy_ab1 2022-04-13 05:22:22 normalization > 05:04:22.088741 [debug] [Thread-6 ]: On "model.airbyte_utils.email_events_obsoletedBy_ab1": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:22 normalization > 05:04:22.088961 [debug] [Thread-6 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:22 normalization > 05:04:22.389786 [debug] [Thread-6 ]: Writing injected SQL for node "model.airbyte_utils.email_events_obsoletedBy_ab1" 2022-04-13 05:22:22 normalization > 05:04:22.390191 [debug] [Thread-6 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:04:22.390708 [debug] [Thread-6 ]: Finished running node model.airbyte_utils.email_events_obsoletedBy_ab1 2022-04-13 05:22:22 normalization > 05:04:22.390933 [debug] [Thread-6 ]: Began running node model.airbyte_utils.email_events_sentBy_ab1 2022-04-13 05:22:22 normalization > 05:04:22.391488 [debug] [Thread-6 ]: Acquiring new bigquery connection "model.airbyte_utils.email_events_sentBy_ab1" 2022-04-13 05:22:22 normalization > 05:04:22.391821 [debug] [Thread-6 ]: Began compiling node model.airbyte_utils.email_events_sentBy_ab1 2022-04-13 05:22:22 normalization > 05:04:22.391991 [debug] [Thread-6 ]: Compiling model.airbyte_utils.email_events_sentBy_ab1 2022-04-13 05:22:22 normalization > 05:04:22.401162 [debug] [Thread-6 ]: On "model.airbyte_utils.email_events_sentBy_ab1": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:22 normalization > 05:04:22.401453 [debug] [Thread-6 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:22 normalization > 05:04:22.401851 [debug] [Thread-1 ]: Writing injected SQL for node "model.airbyte_utils.email_events_location_ab1" 2022-04-13 05:22:22 normalization > 05:04:22.402344 [debug] [Thread-1 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:04:22.402731 [debug] [Thread-1 ]: Finished running node model.airbyte_utils.email_events_location_ab1 2022-04-13 05:22:22 normalization > 05:04:22.402948 [debug] [Thread-1 ]: Began running node model.airbyte_utils.engagements_tasks_properties_ab2 2022-04-13 05:22:22 normalization > 05:04:22.403559 [debug] [Thread-1 ]: Acquiring new bigquery connection "model.airbyte_utils.engagements_tasks_properties_ab2" 2022-04-13 05:22:22 normalization > 05:04:22.403754 [debug] [Thread-1 ]: Began compiling node model.airbyte_utils.engagements_tasks_properties_ab2 2022-04-13 05:22:22 normalization > 05:04:22.403910 [debug] [Thread-1 ]: Compiling model.airbyte_utils.engagements_tasks_properties_ab2 2022-04-13 05:22:22 normalization > 05:04:22.441920 [debug] [Thread-1 ]: On "model.airbyte_utils.engagements_tasks_properties_ab2": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:22 normalization > 05:04:22.442263 [debug] [Thread-1 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:22 normalization > 05:04:22.727319 [debug] [Thread-6 ]: Writing injected SQL for node "model.airbyte_utils.email_events_sentBy_ab1" 2022-04-13 05:22:22 normalization > 05:04:22.727736 [debug] [Thread-6 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:04:22.728215 [debug] [Thread-6 ]: Finished running node model.airbyte_utils.email_events_sentBy_ab1 2022-04-13 05:22:22 normalization > 05:04:22.728470 [debug] [Thread-6 ]: Began running node model.airbyte_utils.engagements_notes_properties_ab2 2022-04-13 05:22:22 normalization > 05:04:22.729114 [debug] [Thread-6 ]: Acquiring new bigquery connection "model.airbyte_utils.engagements_notes_properties_ab2" 2022-04-13 05:22:22 normalization > 05:04:22.729350 [debug] [Thread-6 ]: Began compiling node model.airbyte_utils.engagements_notes_properties_ab2 2022-04-13 05:22:22 normalization > 05:04:22.729517 [debug] [Thread-6 ]: Compiling model.airbyte_utils.engagements_notes_properties_ab2 2022-04-13 05:22:22 normalization > 05:04:22.747794 [debug] [Thread-6 ]: On "model.airbyte_utils.engagements_notes_properties_ab2": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:22 normalization > 05:04:22.763414 [debug] [Thread-6 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:22 normalization > 05:04:22.805415 [debug] [Thread-1 ]: Writing injected SQL for node "model.airbyte_utils.engagements_tasks_properties_ab2" 2022-04-13 05:22:22 normalization > 05:04:22.807387 [debug] [Thread-1 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:04:22.807791 [debug] [Thread-1 ]: Finished running node model.airbyte_utils.engagements_tasks_properties_ab2 2022-04-13 05:22:22 normalization > 05:04:22.808009 [debug] [Thread-1 ]: Began running node model.airbyte_utils.deal_pipelines_stages_metadata_ab3 2022-04-13 05:22:22 normalization > 05:04:22.808520 [debug] [Thread-1 ]: Acquiring new bigquery connection "model.airbyte_utils.deal_pipelines_stages_metadata_ab3" 2022-04-13 05:22:22 normalization > 05:04:22.808744 [debug] [Thread-1 ]: Began compiling node model.airbyte_utils.deal_pipelines_stages_metadata_ab3 2022-04-13 05:22:22 normalization > 05:04:22.809074 [debug] [Thread-1 ]: Compiling model.airbyte_utils.deal_pipelines_stages_metadata_ab3 2022-04-13 05:22:22 normalization > 05:04:22.823311 [debug] [Thread-1 ]: Writing injected SQL for node "model.airbyte_utils.deal_pipelines_stages_metadata_ab3" 2022-04-13 05:22:22 normalization > 05:04:22.823742 [debug] [Thread-1 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:04:22.824109 [debug] [Thread-1 ]: Finished running node model.airbyte_utils.deal_pipelines_stages_metadata_ab3 2022-04-13 05:22:22 normalization > 05:04:22.824363 [debug] [Thread-1 ]: Began running node model.airbyte_utils.forms_configuration_postSubmitAction_ab3 2022-04-13 05:22:22 normalization > 05:04:22.824828 [debug] [Thread-1 ]: Acquiring new bigquery connection "model.airbyte_utils.forms_configuration_postSubmitAction_ab3" 2022-04-13 05:22:22 normalization > 05:04:22.825043 [debug] [Thread-1 ]: Began compiling node model.airbyte_utils.forms_configuration_postSubmitAction_ab3 2022-04-13 05:22:22 normalization > 05:04:22.825627 [debug] [Thread-1 ]: Compiling model.airbyte_utils.forms_configuration_postSubmitAction_ab3 2022-04-13 05:22:22 normalization > 05:04:22.840296 [debug] [Thread-1 ]: Writing injected SQL for node "model.airbyte_utils.forms_configuration_postSubmitAction_ab3" 2022-04-13 05:22:22 normalization > 05:04:22.842756 [debug] [Thread-1 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:04:22.843125 [debug] [Thread-1 ]: Finished running node model.airbyte_utils.forms_configuration_postSubmitAction_ab3 2022-04-13 05:22:22 normalization > 05:04:22.843362 [debug] [Thread-1 ]: Began running node model.airbyte_utils.forms_displayOptions_style_ab3 2022-04-13 05:22:22 normalization > 05:04:22.843807 [debug] [Thread-1 ]: Acquiring new bigquery connection "model.airbyte_utils.forms_displayOptions_style_ab3" 2022-04-13 05:22:22 normalization > 05:04:22.844019 [debug] [Thread-1 ]: Began compiling node model.airbyte_utils.forms_displayOptions_style_ab3 2022-04-13 05:22:22 normalization > 05:04:22.844339 [debug] [Thread-1 ]: Compiling model.airbyte_utils.forms_displayOptions_style_ab3 2022-04-13 05:22:22 normalization > 05:04:22.867960 [debug] [Thread-1 ]: Writing injected SQL for node "model.airbyte_utils.forms_displayOptions_style_ab3" 2022-04-13 05:22:22 normalization > 05:04:22.868699 [debug] [Thread-1 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:04:22.869118 [debug] [Thread-1 ]: Finished running node model.airbyte_utils.forms_displayOptions_style_ab3 2022-04-13 05:22:22 normalization > 05:04:22.869376 [debug] [Thread-1 ]: Began running node model.airbyte_utils.forms_fieldGroups_fields_ab3 2022-04-13 05:22:22 normalization > 05:04:22.869842 [debug] [Thread-1 ]: Acquiring new bigquery connection "model.airbyte_utils.forms_fieldGroups_fields_ab3" 2022-04-13 05:22:22 normalization > 05:04:22.870135 [debug] [Thread-1 ]: Began compiling node model.airbyte_utils.forms_fieldGroups_fields_ab3 2022-04-13 05:22:22 normalization > 05:04:22.870348 [debug] [Thread-1 ]: Compiling model.airbyte_utils.forms_fieldGroups_fields_ab3 2022-04-13 05:22:22 normalization > 05:04:22.886870 [debug] [Thread-1 ]: Writing injected SQL for node "model.airbyte_utils.forms_fieldGroups_fields_ab3" 2022-04-13 05:22:22 normalization > 05:04:22.887218 [debug] [Thread-1 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:04:22.887592 [debug] [Thread-1 ]: Finished running node model.airbyte_utils.forms_fieldGroups_fields_ab3 2022-04-13 05:22:22 normalization > 05:04:22.887812 [debug] [Thread-1 ]: Began running node model.airbyte_utils.ticket_pipelines_stages_metadata_ab3 2022-04-13 05:22:22 normalization > 05:04:22.888115 [debug] [Thread-1 ]: Finished running node model.airbyte_utils.ticket_pipelines_stages_metadata_ab3 2022-04-13 05:22:22 normalization > 05:04:22.888419 [debug] [Thread-1 ]: Began running node model.airbyte_utils.engagements_emails_properties_ab2 2022-04-13 05:22:22 normalization > 05:04:22.888909 [debug] [Thread-1 ]: Acquiring new bigquery connection "model.airbyte_utils.engagements_emails_properties_ab2" 2022-04-13 05:22:22 normalization > 05:04:22.889188 [debug] [Thread-1 ]: Began compiling node model.airbyte_utils.engagements_emails_properties_ab2 2022-04-13 05:22:22 normalization > 05:04:22.889374 [debug] [Thread-1 ]: Compiling model.airbyte_utils.engagements_emails_properties_ab2 2022-04-13 05:22:22 normalization > 05:04:22.924357 [debug] [Thread-1 ]: On "model.airbyte_utils.engagements_emails_properties_ab2": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:22 normalization > 05:04:22.924561 [debug] [Thread-1 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:22 normalization > 05:04:23.258121 [debug] [Thread-6 ]: Writing injected SQL for node "model.airbyte_utils.engagements_notes_properties_ab2" 2022-04-13 05:22:22 normalization > 05:04:23.258635 [debug] [Thread-1 ]: Writing injected SQL for node "model.airbyte_utils.engagements_emails_properties_ab2" 2022-04-13 05:22:22 normalization > 05:04:23.259132 [debug] [Thread-6 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:04:23.259407 [debug] [Thread-1 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:04:23.259878 [debug] [Thread-6 ]: Finished running node model.airbyte_utils.engagements_notes_properties_ab2 2022-04-13 05:22:22 normalization > 05:04:23.260400 [debug] [Thread-1 ]: Finished running node model.airbyte_utils.engagements_emails_properties_ab2 2022-04-13 05:22:22 normalization > 05:04:23.260676 [debug] [Thread-6 ]: Began running node model.airbyte_utils.marketing_emails_stats_counters_ab3 2022-04-13 05:22:22 normalization > 05:04:23.261227 [debug] [Thread-1 ]: Began running node model.airbyte_utils.subscription_changes_changes_causedByEvent_ab2 2022-04-13 05:22:22 normalization > 05:04:23.261756 [debug] [Thread-6 ]: Acquiring new bigquery connection "model.airbyte_utils.marketing_emails_stats_counters_ab3" 2022-04-13 05:22:22 normalization > 05:04:23.262255 [debug] [Thread-1 ]: Acquiring new bigquery connection "model.airbyte_utils.subscription_changes_changes_causedByEvent_ab2" 2022-04-13 05:22:22 normalization > 05:04:23.262482 [debug] [Thread-6 ]: Began compiling node model.airbyte_utils.marketing_emails_stats_counters_ab3 2022-04-13 05:22:22 normalization > 05:04:23.262697 [debug] [Thread-1 ]: Began compiling node model.airbyte_utils.subscription_changes_changes_causedByEvent_ab2 2022-04-13 05:22:22 normalization > 05:04:23.262914 [debug] [Thread-6 ]: Compiling model.airbyte_utils.marketing_emails_stats_counters_ab3 2022-04-13 05:22:22 normalization > 05:04:23.263122 [debug] [Thread-1 ]: Compiling model.airbyte_utils.subscription_changes_changes_causedByEvent_ab2 2022-04-13 05:22:22 normalization > 05:04:23.280742 [debug] [Thread-1 ]: On "model.airbyte_utils.subscription_changes_changes_causedByEvent_ab2": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:22 normalization > 05:04:23.280982 [debug] [Thread-1 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:22 normalization > 05:04:23.298130 [debug] [Thread-6 ]: Writing injected SQL for node "model.airbyte_utils.marketing_emails_stats_counters_ab3" 2022-04-13 05:22:22 normalization > 05:04:23.298475 [debug] [Thread-6 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:04:23.298832 [debug] [Thread-6 ]: Finished running node model.airbyte_utils.marketing_emails_stats_counters_ab3 2022-04-13 05:22:22 normalization > 05:04:23.299422 [debug] [Thread-6 ]: Began running node model.airbyte_utils.marketing_emails_stats_deviceBreakdown_ab3 2022-04-13 05:22:22 normalization > 05:04:23.300495 [debug] [Thread-6 ]: Acquiring new bigquery connection "model.airbyte_utils.marketing_emails_stats_deviceBreakdown_ab3" 2022-04-13 05:22:22 normalization > 05:04:23.300753 [debug] [Thread-6 ]: Began compiling node model.airbyte_utils.marketing_emails_stats_deviceBreakdown_ab3 2022-04-13 05:22:22 normalization > 05:04:23.301018 [debug] [Thread-6 ]: Compiling model.airbyte_utils.marketing_emails_stats_deviceBreakdown_ab3 2022-04-13 05:22:22 normalization > 05:04:23.315724 [debug] [Thread-6 ]: Writing injected SQL for node "model.airbyte_utils.marketing_emails_stats_deviceBreakdown_ab3" 2022-04-13 05:22:22 normalization > 05:04:23.316316 [debug] [Thread-6 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:04:23.316684 [debug] [Thread-6 ]: Finished running node model.airbyte_utils.marketing_emails_stats_deviceBreakdown_ab3 2022-04-13 05:22:22 normalization > 05:04:23.316892 [debug] [Thread-6 ]: Began running node model.airbyte_utils.marketing_emails_stats_ratios_ab3 2022-04-13 05:22:22 normalization > 05:04:23.317322 [debug] [Thread-6 ]: Acquiring new bigquery connection "model.airbyte_utils.marketing_emails_stats_ratios_ab3" 2022-04-13 05:22:22 normalization > 05:04:23.317644 [debug] [Thread-6 ]: Began compiling node model.airbyte_utils.marketing_emails_stats_ratios_ab3 2022-04-13 05:22:22 normalization > 05:04:23.317810 [debug] [Thread-6 ]: Compiling model.airbyte_utils.marketing_emails_stats_ratios_ab3 2022-04-13 05:22:22 normalization > 05:04:23.341348 [debug] [Thread-6 ]: Writing injected SQL for node "model.airbyte_utils.marketing_emails_stats_ratios_ab3" 2022-04-13 05:22:22 normalization > 05:04:23.341877 [debug] [Thread-6 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:04:23.342277 [debug] [Thread-6 ]: Finished running node model.airbyte_utils.marketing_emails_stats_ratios_ab3 2022-04-13 05:22:22 normalization > 05:04:23.342495 [debug] [Thread-6 ]: Began running node model.airbyte_utils.email_events_browser_ab2 2022-04-13 05:22:22 normalization > 05:04:23.342942 [debug] [Thread-6 ]: Acquiring new bigquery connection "model.airbyte_utils.email_events_browser_ab2" 2022-04-13 05:22:22 normalization > 05:04:23.343249 [debug] [Thread-6 ]: Began compiling node model.airbyte_utils.email_events_browser_ab2 2022-04-13 05:22:22 normalization > 05:04:23.343414 [debug] [Thread-6 ]: Compiling model.airbyte_utils.email_events_browser_ab2 2022-04-13 05:22:22 normalization > 05:04:23.350278 [debug] [Thread-6 ]: On "model.airbyte_utils.email_events_browser_ab2": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:22 normalization > 05:04:23.350601 [debug] [Thread-6 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:22 normalization > 05:04:23.640362 [debug] [Thread-6 ]: Writing injected SQL for node "model.airbyte_utils.email_events_browser_ab2" 2022-04-13 05:22:22 normalization > 05:04:23.640776 [debug] [Thread-6 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:04:23.641281 [debug] [Thread-6 ]: Finished running node model.airbyte_utils.email_events_browser_ab2 2022-04-13 05:22:22 normalization > 05:04:23.641520 [debug] [Thread-6 ]: Began running node model.airbyte_utils.email_events_causedBy_ab2 2022-04-13 05:22:22 normalization > 05:04:23.642028 [debug] [Thread-6 ]: Acquiring new bigquery connection "model.airbyte_utils.email_events_causedBy_ab2" 2022-04-13 05:22:22 normalization > 05:04:23.642415 [debug] [Thread-6 ]: Began compiling node model.airbyte_utils.email_events_causedBy_ab2 2022-04-13 05:22:22 normalization > 05:04:23.642592 [debug] [Thread-6 ]: Compiling model.airbyte_utils.email_events_causedBy_ab2 2022-04-13 05:22:22 normalization > 05:04:23.651397 [debug] [Thread-6 ]: On "model.airbyte_utils.email_events_causedBy_ab2": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:22 normalization > 05:04:23.651597 [debug] [Thread-6 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:22 normalization > 05:04:23.668370 [debug] [Thread-1 ]: Writing injected SQL for node "model.airbyte_utils.subscription_changes_changes_causedByEvent_ab2" 2022-04-13 05:22:22 normalization > 05:04:23.668692 [debug] [Thread-1 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:04:23.669058 [debug] [Thread-1 ]: Finished running node model.airbyte_utils.subscription_changes_changes_causedByEvent_ab2 2022-04-13 05:22:22 normalization > 05:04:23.669292 [debug] [Thread-1 ]: Began running node model.airbyte_utils.email_events_obsoletedBy_ab2 2022-04-13 05:22:22 normalization > 05:04:23.670012 [debug] [Thread-1 ]: Acquiring new bigquery connection "model.airbyte_utils.email_events_obsoletedBy_ab2" 2022-04-13 05:22:22 normalization > 05:04:23.670222 [debug] [Thread-1 ]: Began compiling node model.airbyte_utils.email_events_obsoletedBy_ab2 2022-04-13 05:22:22 normalization > 05:04:23.670394 [debug] [Thread-1 ]: Compiling model.airbyte_utils.email_events_obsoletedBy_ab2 2022-04-13 05:22:22 normalization > 05:04:23.677556 [debug] [Thread-1 ]: On "model.airbyte_utils.email_events_obsoletedBy_ab2": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:22 normalization > 05:04:23.678001 [debug] [Thread-1 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:22 normalization > 05:04:23.852067 [debug] [Thread-8 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:04:23.852669 [info ] [Thread-8 ]: 50 of 77 OK created incremental model hubspot_.tickets_properties....................................................... [MERGE (87.0 rows, 49.9 KB processed) in 4.54s] 2022-04-13 05:22:22 normalization > 05:04:23.853086 [debug] [Thread-8 ]: Finished running node model.airbyte_utils.tickets_properties 2022-04-13 05:22:22 normalization > 05:04:23.853306 [debug] [Thread-8 ]: Began running node model.airbyte_utils.email_events_location_ab2 2022-04-13 05:22:22 normalization > 05:04:23.853785 [debug] [Thread-8 ]: Acquiring new bigquery connection "model.airbyte_utils.email_events_location_ab2" 2022-04-13 05:22:22 normalization > 05:04:23.853964 [debug] [Thread-8 ]: Began compiling node model.airbyte_utils.email_events_location_ab2 2022-04-13 05:22:22 normalization > 05:04:23.854116 [debug] [Thread-8 ]: Compiling model.airbyte_utils.email_events_location_ab2 2022-04-13 05:22:22 normalization > 05:04:23.861305 [debug] [Thread-8 ]: On "model.airbyte_utils.email_events_location_ab2": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:22 normalization > 05:04:23.861521 [debug] [Thread-8 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:22 normalization > 05:04:23.952703 [debug] [Thread-6 ]: Writing injected SQL for node "model.airbyte_utils.email_events_causedBy_ab2" 2022-04-13 05:22:22 normalization > 05:04:23.953047 [debug] [Thread-6 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:04:23.953448 [debug] [Thread-6 ]: Finished running node model.airbyte_utils.email_events_causedBy_ab2 2022-04-13 05:22:22 normalization > 05:04:23.953667 [debug] [Thread-6 ]: Began running node model.airbyte_utils.email_events_sentBy_ab2 2022-04-13 05:22:22 normalization > 05:04:23.954161 [debug] [Thread-6 ]: Acquiring new bigquery connection "model.airbyte_utils.email_events_sentBy_ab2" 2022-04-13 05:22:22 normalization > 05:04:23.954503 [debug] [Thread-6 ]: Began compiling node model.airbyte_utils.email_events_sentBy_ab2 2022-04-13 05:22:22 normalization > 05:04:23.954684 [debug] [Thread-6 ]: Compiling model.airbyte_utils.email_events_sentBy_ab2 2022-04-13 05:22:22 normalization > 05:04:23.960550 [debug] [Thread-6 ]: On "model.airbyte_utils.email_events_sentBy_ab2": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:22 normalization > 05:04:23.960775 [debug] [Thread-6 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:22 normalization > 05:04:23.965773 [debug] [Thread-1 ]: Writing injected SQL for node "model.airbyte_utils.email_events_obsoletedBy_ab2" 2022-04-13 05:22:22 normalization > 05:04:23.966108 [debug] [Thread-1 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:04:23.966513 [debug] [Thread-1 ]: Finished running node model.airbyte_utils.email_events_obsoletedBy_ab2 2022-04-13 05:22:22 normalization > 05:04:23.967075 [debug] [Thread-1 ]: Began running node model.airbyte_utils.engagements_tasks_properties_ab3 2022-04-13 05:22:22 normalization > 05:04:23.968146 [debug] [Thread-1 ]: Acquiring new bigquery connection "model.airbyte_utils.engagements_tasks_properties_ab3" 2022-04-13 05:22:22 normalization > 05:04:23.968396 [debug] [Thread-1 ]: Began compiling node model.airbyte_utils.engagements_tasks_properties_ab3 2022-04-13 05:22:22 normalization > 05:04:23.968563 [debug] [Thread-1 ]: Compiling model.airbyte_utils.engagements_tasks_properties_ab3 2022-04-13 05:22:22 normalization > 05:04:23.992350 [debug] [Thread-1 ]: On "model.airbyte_utils.engagements_tasks_properties_ab3": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:22 normalization > 05:04:23.992601 [debug] [Thread-1 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:22 normalization > 05:04:24.227062 [debug] [Thread-8 ]: Writing injected SQL for node "model.airbyte_utils.email_events_location_ab2" 2022-04-13 05:22:22 normalization > 05:04:24.227465 [debug] [Thread-8 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:04:24.227903 [debug] [Thread-8 ]: Finished running node model.airbyte_utils.email_events_location_ab2 2022-04-13 05:22:22 normalization > 05:04:24.228129 [debug] [Thread-8 ]: Began running node model.airbyte_utils.deal_pipelines_stages_metadata 2022-04-13 05:22:22 normalization > 05:04:24.228591 [info ] [Thread-8 ]: 51 of 77 START table model hubspot_.deal_pipelines_stages_metadata...................................................... [RUN] 2022-04-13 05:22:22 normalization > 05:04:24.229280 [debug] [Thread-8 ]: Acquiring new bigquery connection "model.airbyte_utils.deal_pipelines_stages_metadata" 2022-04-13 05:22:22 normalization > 05:04:24.229454 [debug] [Thread-8 ]: Began compiling node model.airbyte_utils.deal_pipelines_stages_metadata 2022-04-13 05:22:22 normalization > 05:04:24.229608 [debug] [Thread-8 ]: Compiling model.airbyte_utils.deal_pipelines_stages_metadata 2022-04-13 05:22:22 normalization > 05:04:24.252484 [debug] [Thread-8 ]: Writing injected SQL for node "model.airbyte_utils.deal_pipelines_stages_metadata" 2022-04-13 05:22:22 normalization > 05:04:24.252818 [debug] [Thread-8 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:04:24.252993 [debug] [Thread-8 ]: Began executing node model.airbyte_utils.deal_pipelines_stages_metadata 2022-04-13 05:22:22 normalization > 05:04:24.256870 [debug] [Thread-8 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:22 normalization > 05:04:24.319150 [debug] [Thread-6 ]: Writing injected SQL for node "model.airbyte_utils.email_events_sentBy_ab2" 2022-04-13 05:22:22 normalization > 05:04:24.362553 [debug] [Thread-6 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:04:24.373327 [debug] [Thread-6 ]: Finished running node model.airbyte_utils.email_events_sentBy_ab2 2022-04-13 05:22:22 normalization > 05:04:24.374906 [debug] [Thread-1 ]: Writing injected SQL for node "model.airbyte_utils.engagements_tasks_properties_ab3" 2022-04-13 05:22:22 normalization > 05:04:24.375178 [debug] [Thread-6 ]: Began running node model.airbyte_utils.forms_configuration_postSubmitAction 2022-04-13 05:22:22 normalization > 05:04:24.375803 [info ] [Thread-6 ]: 52 of 77 START table model hubspot_.forms_configuration_postSubmitAction................................................ [RUN] 2022-04-13 05:22:22 normalization > 05:04:24.376575 [debug] [Thread-6 ]: Acquiring new bigquery connection "model.airbyte_utils.forms_configuration_postSubmitAction" 2022-04-13 05:22:22 normalization > 05:04:24.376787 [debug] [Thread-6 ]: Began compiling node model.airbyte_utils.forms_configuration_postSubmitAction 2022-04-13 05:22:22 normalization > 05:04:24.377025 [debug] [Thread-6 ]: Compiling model.airbyte_utils.forms_configuration_postSubmitAction 2022-04-13 05:22:22 normalization > 05:04:24.385084 [debug] [Thread-6 ]: Writing injected SQL for node "model.airbyte_utils.forms_configuration_postSubmitAction" 2022-04-13 05:22:22 normalization > 05:04:24.385356 [debug] [Thread-1 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:04:24.385847 [debug] [Thread-1 ]: Finished running node model.airbyte_utils.engagements_tasks_properties_ab3 2022-04-13 05:22:22 normalization > 05:04:24.386119 [debug] [Thread-1 ]: Began running node model.airbyte_utils.forms_displayOptions_style 2022-04-13 05:22:22 normalization > 05:04:24.386337 [debug] [Thread-6 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:04:24.386697 [info ] [Thread-1 ]: 53 of 77 START table model hubspot_.forms_displayOptions_style.......................................................... [RUN] 2022-04-13 05:22:22 normalization > 05:04:24.387053 [debug] [Thread-6 ]: Began executing node model.airbyte_utils.forms_configuration_postSubmitAction 2022-04-13 05:22:22 normalization > 05:04:24.387635 [debug] [Thread-1 ]: Acquiring new bigquery connection "model.airbyte_utils.forms_displayOptions_style" 2022-04-13 05:22:22 normalization > 05:04:24.393104 [debug] [Thread-6 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:22 normalization > 05:04:24.393351 [debug] [Thread-1 ]: Began compiling node model.airbyte_utils.forms_displayOptions_style 2022-04-13 05:22:22 normalization > 05:04:24.393704 [debug] [Thread-1 ]: Compiling model.airbyte_utils.forms_displayOptions_style 2022-04-13 05:22:22 normalization > 05:04:24.402748 [debug] [Thread-1 ]: Writing injected SQL for node "model.airbyte_utils.forms_displayOptions_style" 2022-04-13 05:22:22 normalization > 05:04:24.403895 [debug] [Thread-1 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:04:24.404090 [debug] [Thread-1 ]: Began executing node model.airbyte_utils.forms_displayOptions_style 2022-04-13 05:22:22 normalization > 05:04:24.408000 [debug] [Thread-1 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:22 normalization > 05:04:24.418877 [debug] [Thread-8 ]: Writing runtime SQL for node "model.airbyte_utils.deal_pipelines_stages_metadata" 2022-04-13 05:22:22 normalization > 05:04:24.419234 [debug] [Thread-8 ]: On model.airbyte_utils.deal_pipelines_stages_metadata: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.deal_pipelines_stages_metadata"} */ 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > create or replace table `mansagroup-datascience`.hubspot_.`deal_pipelines_stages_metadata` 2022-04-13 05:22:22 normalization > partition by timestamp_trunc(_airbyte_emitted_at, day) 2022-04-13 05:22:22 normalization > cluster by _airbyte_emitted_at 2022-04-13 05:22:22 normalization > OPTIONS() 2022-04-13 05:22:22 normalization > as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > with __dbt__cte__deal_pipelines_stages_metadata_ab1 as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema 2022-04-13 05:22:22 normalization > -- depends_on: `mansagroup-datascience`.hubspot_.`deal_pipelines_stages` 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > _airbyte_stages_hashid, 2022-04-13 05:22:22 normalization > json_extract_scalar(metadata, "$['isClosed']") as isClosed, 2022-04-13 05:22:22 normalization > json_extract_scalar(metadata, "$['probability']") as probability, 2022-04-13 05:22:22 normalization > _airbyte_ab_id, 2022-04-13 05:22:22 normalization > _airbyte_emitted_at, 2022-04-13 05:22:22 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:22 normalization > from `mansagroup-datascience`.hubspot_.`deal_pipelines_stages` as table_alias 2022-04-13 05:22:22 normalization > -- metadata at deal_pipelines/stages/metadata 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > and metadata is not null 2022-04-13 05:22:22 normalization > ), __dbt__cte__deal_pipelines_stages_metadata_ab2 as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type 2022-04-13 05:22:22 normalization > -- depends_on: __dbt__cte__deal_pipelines_stages_metadata_ab1 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > _airbyte_stages_hashid, 2022-04-13 05:22:22 normalization > cast(isClosed as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as isClosed, 2022-04-13 05:22:22 normalization > cast(probability as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as probability, 2022-04-13 05:22:22 normalization > _airbyte_ab_id, 2022-04-13 05:22:22 normalization > _airbyte_emitted_at, 2022-04-13 05:22:22 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:22 normalization > from __dbt__cte__deal_pipelines_stages_metadata_ab1 2022-04-13 05:22:22 normalization > -- metadata at deal_pipelines/stages/metadata 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > ), __dbt__cte__deal_pipelines_stages_metadata_ab3 as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > -- SQL model to build a hash column based on the values of this record 2022-04-13 05:22:22 normalization > -- depends_on: __dbt__cte__deal_pipelines_stages_metadata_ab2 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > to_hex(md5(cast(concat(coalesce(cast(_airbyte_stages_hashid as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(isClosed as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(probability as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), '')) as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ))) as _airbyte_metadata_hashid, 2022-04-13 05:22:22 normalization > tmp.* 2022-04-13 05:22:22 normalization > from __dbt__cte__deal_pipelines_stages_metadata_ab2 tmp 2022-04-13 05:22:22 normalization > -- metadata at deal_pipelines/stages/metadata 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > )-- Final base SQL model 2022-04-13 05:22:22 normalization > -- depends_on: __dbt__cte__deal_pipelines_stages_metadata_ab3 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > _airbyte_stages_hashid, 2022-04-13 05:22:22 normalization > isClosed, 2022-04-13 05:22:22 normalization > probability, 2022-04-13 05:22:22 normalization > _airbyte_ab_id, 2022-04-13 05:22:22 normalization > _airbyte_emitted_at, 2022-04-13 05:22:22 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at, 2022-04-13 05:22:22 normalization > _airbyte_metadata_hashid 2022-04-13 05:22:22 normalization > from __dbt__cte__deal_pipelines_stages_metadata_ab3 2022-04-13 05:22:22 normalization > -- metadata at deal_pipelines/stages/metadata from `mansagroup-datascience`.hubspot_.`deal_pipelines_stages` 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > ); 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 05:04:24.476518 [debug] [Thread-6 ]: Writing runtime SQL for node "model.airbyte_utils.forms_configuration_postSubmitAction" 2022-04-13 05:22:22 normalization > 05:04:24.476842 [debug] [Thread-6 ]: On model.airbyte_utils.forms_configuration_postSubmitAction: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.forms_configuration_postSubmitAction"} */ 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > create or replace table `mansagroup-datascience`.hubspot_.`forms_configuration_postSubmitAction` 2022-04-13 05:22:22 normalization > partition by timestamp_trunc(_airbyte_emitted_at, day) 2022-04-13 05:22:22 normalization > cluster by _airbyte_emitted_at 2022-04-13 05:22:22 normalization > OPTIONS() 2022-04-13 05:22:22 normalization > as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > with __dbt__cte__forms_configuration_postSubmitAction_ab1 as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema 2022-04-13 05:22:22 normalization > -- depends_on: `mansagroup-datascience`.hubspot_.`forms_configuration` 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > _airbyte_configuration_hashid, 2022-04-13 05:22:22 normalization > json_extract_scalar(postSubmitAction, "$['type']") as type, 2022-04-13 05:22:22 normalization > json_extract_scalar(postSubmitAction, "$['value']") as value, 2022-04-13 05:22:22 normalization > _airbyte_ab_id, 2022-04-13 05:22:22 normalization > _airbyte_emitted_at, 2022-04-13 05:22:22 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:22 normalization > from `mansagroup-datascience`.hubspot_.`forms_configuration` as table_alias 2022-04-13 05:22:22 normalization > -- postSubmitAction at forms/configuration/postSubmitAction 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > and postSubmitAction is not null 2022-04-13 05:22:22 normalization > ), __dbt__cte__forms_configuration_postSubmitAction_ab2 as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type 2022-04-13 05:22:22 normalization > -- depends_on: __dbt__cte__forms_configuration_postSubmitAction_ab1 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > _airbyte_configuration_hashid, 2022-04-13 05:22:22 normalization > cast(type as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as type, 2022-04-13 05:22:22 normalization > cast(value as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as value, 2022-04-13 05:22:22 normalization > _airbyte_ab_id, 2022-04-13 05:22:22 normalization > _airbyte_emitted_at, 2022-04-13 05:22:22 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:22 normalization > from __dbt__cte__forms_configuration_postSubmitAction_ab1 2022-04-13 05:22:22 normalization > -- postSubmitAction at forms/configuration/postSubmitAction 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > ), __dbt__cte__forms_configuration_postSubmitAction_ab3 as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > -- SQL model to build a hash column based on the values of this record 2022-04-13 05:22:22 normalization > -- depends_on: __dbt__cte__forms_configuration_postSubmitAction_ab2 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > to_hex(md5(cast(concat(coalesce(cast(_airbyte_configuration_hashid as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(type as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(value as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), '')) as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ))) as _airbyte_postSubmitAction_hashid, 2022-04-13 05:22:22 normalization > tmp.* 2022-04-13 05:22:22 normalization > from __dbt__cte__forms_configuration_postSubmitAction_ab2 tmp 2022-04-13 05:22:22 normalization > -- postSubmitAction at forms/configuration/postSubmitAction 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > )-- Final base SQL model 2022-04-13 05:22:22 normalization > -- depends_on: __dbt__cte__forms_configuration_postSubmitAction_ab3 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > _airbyte_configuration_hashid, 2022-04-13 05:22:22 normalization > type, 2022-04-13 05:22:22 normalization > value, 2022-04-13 05:22:22 normalization > _airbyte_ab_id, 2022-04-13 05:22:22 normalization > _airbyte_emitted_at, 2022-04-13 05:22:22 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at, 2022-04-13 05:22:22 normalization > _airbyte_postSubmitAction_hashid 2022-04-13 05:22:22 normalization > from __dbt__cte__forms_configuration_postSubmitAction_ab3 2022-04-13 05:22:22 normalization > -- postSubmitAction at forms/configuration/postSubmitAction from `mansagroup-datascience`.hubspot_.`forms_configuration` 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > ); 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 05:04:24.502595 [debug] [Thread-1 ]: Writing runtime SQL for node "model.airbyte_utils.forms_displayOptions_style" 2022-04-13 05:22:22 normalization > 05:04:24.502919 [debug] [Thread-1 ]: On model.airbyte_utils.forms_displayOptions_style: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.forms_displayOptions_style"} */ 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > create or replace table `mansagroup-datascience`.hubspot_.`forms_displayOptions_style` 2022-04-13 05:22:22 normalization > partition by timestamp_trunc(_airbyte_emitted_at, day) 2022-04-13 05:22:22 normalization > cluster by _airbyte_emitted_at 2022-04-13 05:22:22 normalization > OPTIONS() 2022-04-13 05:22:22 normalization > as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > with __dbt__cte__forms_displayOptions_style_ab1 as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema 2022-04-13 05:22:22 normalization > -- depends_on: `mansagroup-datascience`.hubspot_.`forms_displayOptions` 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > _airbyte_displayOptions_hashid, 2022-04-13 05:22:22 normalization > json_extract_scalar(style, "$['fontFamily']") as fontFamily, 2022-04-13 05:22:22 normalization > json_extract_scalar(style, "$['submitSize']") as submitSize, 2022-04-13 05:22:22 normalization > json_extract_scalar(style, "$['submitColor']") as submitColor, 2022-04-13 05:22:22 normalization > json_extract_scalar(style, "$['helpTextSize']") as helpTextSize, 2022-04-13 05:22:22 normalization > json_extract_scalar(style, "$['helpTextColor']") as helpTextColor, 2022-04-13 05:22:22 normalization > json_extract_scalar(style, "$['labelTextSize']") as labelTextSize, 2022-04-13 05:22:22 normalization > json_extract_scalar(style, "$['labelTextColor']") as labelTextColor, 2022-04-13 05:22:22 normalization > json_extract_scalar(style, "$['backgroundWidth']") as backgroundWidth, 2022-04-13 05:22:22 normalization > json_extract_scalar(style, "$['submitAlignment']") as submitAlignment, 2022-04-13 05:22:22 normalization > json_extract_scalar(style, "$['submitFontColor']") as submitFontColor, 2022-04-13 05:22:22 normalization > json_extract_scalar(style, "$['legalConsentTextSize']") as legalConsentTextSize, 2022-04-13 05:22:22 normalization > json_extract_scalar(style, "$['legalConsentTextColor']") as legalConsentTextColor, 2022-04-13 05:22:22 normalization > _airbyte_ab_id, 2022-04-13 05:22:22 normalization > _airbyte_emitted_at, 2022-04-13 05:22:22 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:22 normalization > from `mansagroup-datascience`.hubspot_.`forms_displayOptions` as table_alias 2022-04-13 05:22:22 normalization > -- style at forms/displayOptions/style 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > and style is not null 2022-04-13 05:22:22 normalization > ), __dbt__cte__forms_displayOptions_style_ab2 as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type 2022-04-13 05:22:22 normalization > -- depends_on: __dbt__cte__forms_displayOptions_style_ab1 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > _airbyte_displayOptions_hashid, 2022-04-13 05:22:22 normalization > cast(fontFamily as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as fontFamily, 2022-04-13 05:22:22 normalization > cast(submitSize as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as submitSize, 2022-04-13 05:22:22 normalization > cast(submitColor as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as submitColor, 2022-04-13 05:22:22 normalization > cast(helpTextSize as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as helpTextSize, 2022-04-13 05:22:22 normalization > cast(helpTextColor as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as helpTextColor, 2022-04-13 05:22:22 normalization > cast(labelTextSize as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as labelTextSize, 2022-04-13 05:22:22 normalization > cast(labelTextColor as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as labelTextColor, 2022-04-13 05:22:22 normalization > cast(backgroundWidth as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as backgroundWidth, 2022-04-13 05:22:22 normalization > cast(submitAlignment as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as submitAlignment, 2022-04-13 05:22:22 normalization > cast(submitFontColor as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as submitFontColor, 2022-04-13 05:22:22 normalization > cast(legalConsentTextSize as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as legalConsentTextSize, 2022-04-13 05:22:22 normalization > cast(legalConsentTextColor as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as legalConsentTextColor, 2022-04-13 05:22:22 normalization > _airbyte_ab_id, 2022-04-13 05:22:22 normalization > _airbyte_emitted_at, 2022-04-13 05:22:22 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:22 normalization > from __dbt__cte__forms_displayOptions_style_ab1 2022-04-13 05:22:22 normalization > -- style at forms/displayOptions/style 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > ), __dbt__cte__forms_displayOptions_style_ab3 as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > -- SQL model to build a hash column based on the values of this record 2022-04-13 05:22:22 normalization > -- depends_on: __dbt__cte__forms_displayOptions_style_ab2 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > to_hex(md5(cast(concat(coalesce(cast(_airbyte_displayOptions_hashid as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(fontFamily as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(submitSize as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(submitColor as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(helpTextSize as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(helpTextColor as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(labelTextSize as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(labelTextColor as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(backgroundWidth as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(submitAlignment as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(submitFontColor as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(legalConsentTextSize as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(legalConsentTextColor as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), '')) as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ))) as _airbyte_style_hashid, 2022-04-13 05:22:22 normalization > tmp.* 2022-04-13 05:22:22 normalization > from __dbt__cte__forms_displayOptions_style_ab2 tmp 2022-04-13 05:22:22 normalization > -- style at forms/displayOptions/style 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > )-- Final base SQL model 2022-04-13 05:22:22 normalization > -- depends_on: __dbt__cte__forms_displayOptions_style_ab3 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > _airbyte_displayOptions_hashid, 2022-04-13 05:22:22 normalization > fontFamily, 2022-04-13 05:22:22 normalization > submitSize, 2022-04-13 05:22:22 normalization > submitColor, 2022-04-13 05:22:22 normalization > helpTextSize, 2022-04-13 05:22:22 normalization > helpTextColor, 2022-04-13 05:22:22 normalization > labelTextSize, 2022-04-13 05:22:22 normalization > labelTextColor, 2022-04-13 05:22:22 normalization > backgroundWidth, 2022-04-13 05:22:22 normalization > submitAlignment, 2022-04-13 05:22:22 normalization > submitFontColor, 2022-04-13 05:22:22 normalization > legalConsentTextSize, 2022-04-13 05:22:22 normalization > legalConsentTextColor, 2022-04-13 05:22:22 normalization > _airbyte_ab_id, 2022-04-13 05:22:22 normalization > _airbyte_emitted_at, 2022-04-13 05:22:22 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at, 2022-04-13 05:22:22 normalization > _airbyte_style_hashid 2022-04-13 05:22:22 normalization > from __dbt__cte__forms_displayOptions_style_ab3 2022-04-13 05:22:22 normalization > -- style at forms/displayOptions/style from `mansagroup-datascience`.hubspot_.`forms_displayOptions` 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > ); 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 05:04:26.332982 [debug] [Thread-8 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:04:26.333747 [info ] [Thread-8 ]: 51 of 77 OK created table model hubspot_.deal_pipelines_stages_metadata................................................. [CREATE TABLE (24.0 rows, 2.9 KB processed) in 2.10s] 2022-04-13 05:22:22 normalization > 05:04:26.334188 [debug] [Thread-8 ]: Finished running node model.airbyte_utils.deal_pipelines_stages_metadata 2022-04-13 05:22:22 normalization > 05:04:26.334425 [debug] [Thread-8 ]: Began running node model.airbyte_utils.forms_fieldGroups_fields 2022-04-13 05:22:22 normalization > 05:04:26.334837 [info ] [Thread-8 ]: 54 of 77 START table model hubspot_.forms_fieldGroups_fields............................................................ [RUN] 2022-04-13 05:22:22 normalization > 05:04:26.335361 [debug] [Thread-8 ]: Acquiring new bigquery connection "model.airbyte_utils.forms_fieldGroups_fields" 2022-04-13 05:22:22 normalization > 05:04:26.335543 [debug] [Thread-8 ]: Began compiling node model.airbyte_utils.forms_fieldGroups_fields 2022-04-13 05:22:22 normalization > 05:04:26.335700 [debug] [Thread-8 ]: Compiling model.airbyte_utils.forms_fieldGroups_fields 2022-04-13 05:22:22 normalization > 05:04:26.344500 [debug] [Thread-8 ]: Writing injected SQL for node "model.airbyte_utils.forms_fieldGroups_fields" 2022-04-13 05:22:22 normalization > 05:04:26.344826 [debug] [Thread-8 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:04:26.344996 [debug] [Thread-8 ]: Began executing node model.airbyte_utils.forms_fieldGroups_fields 2022-04-13 05:22:22 normalization > 05:04:26.348986 [debug] [Thread-8 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:22 normalization > 05:04:26.405989 [debug] [Thread-1 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:04:26.406512 [info ] [Thread-1 ]: 53 of 77 OK created table model hubspot_.forms_displayOptions_style..................................................... [CREATE TABLE (28.0 rows, 11.0 KB processed) in 2.02s] 2022-04-13 05:22:22 normalization > 05:04:26.406926 [debug] [Thread-1 ]: Finished running node model.airbyte_utils.forms_displayOptions_style 2022-04-13 05:22:22 normalization > 05:04:26.407124 [debug] [Thread-1 ]: Began running node model.airbyte_utils.ticket_pipelines_stages_metadata 2022-04-13 05:22:22 normalization > 05:04:26.407461 [info ] [Thread-1 ]: 55 of 77 SKIP relation hubspot_.ticket_pipelines_stages_metadata........................................................ [SKIP] 2022-04-13 05:22:22 normalization > 05:04:26.407829 [debug] [Thread-1 ]: Finished running node model.airbyte_utils.ticket_pipelines_stages_metadata 2022-04-13 05:22:22 normalization > 05:04:26.408014 [debug] [Thread-1 ]: Began running node model.airbyte_utils.engagements_notes_properties_ab3 2022-04-13 05:22:22 normalization > 05:04:26.408446 [debug] [Thread-1 ]: Acquiring new bigquery connection "model.airbyte_utils.engagements_notes_properties_ab3" 2022-04-13 05:22:22 normalization > 05:04:26.408625 [debug] [Thread-1 ]: Began compiling node model.airbyte_utils.engagements_notes_properties_ab3 2022-04-13 05:22:22 normalization > 05:04:26.408786 [debug] [Thread-1 ]: Compiling model.airbyte_utils.engagements_notes_properties_ab3 2022-04-13 05:22:22 normalization > 05:04:26.426270 [debug] [Thread-1 ]: On "model.airbyte_utils.engagements_notes_properties_ab3": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:22 normalization > 05:04:26.426474 [debug] [Thread-1 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:22 normalization > 05:04:26.453464 [debug] [Thread-8 ]: Writing runtime SQL for node "model.airbyte_utils.forms_fieldGroups_fields" 2022-04-13 05:22:22 normalization > 05:04:26.453803 [debug] [Thread-8 ]: On model.airbyte_utils.forms_fieldGroups_fields: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.forms_fieldGroups_fields"} */ 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > create or replace table `mansagroup-datascience`.hubspot_.`forms_fieldGroups_fields` 2022-04-13 05:22:22 normalization > partition by timestamp_trunc(_airbyte_emitted_at, day) 2022-04-13 05:22:22 normalization > cluster by _airbyte_emitted_at 2022-04-13 05:22:22 normalization > OPTIONS() 2022-04-13 05:22:22 normalization > as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > with __dbt__cte__forms_fieldGroups_fields_ab1 as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema 2022-04-13 05:22:22 normalization > -- depends_on: `mansagroup-datascience`.hubspot_.`forms_fieldGroups` 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > _airbyte_fieldGroups_hashid, 2022-04-13 05:22:22 normalization > json_extract_scalar(fields, "$['name']") as name, 2022-04-13 05:22:22 normalization > json_extract_scalar(fields, "$['label']") as label, 2022-04-13 05:22:22 normalization > json_extract_scalar(fields, "$['hidden']") as hidden, 2022-04-13 05:22:22 normalization > json_extract_scalar(fields, "$['required']") as required, 2022-04-13 05:22:22 normalization > json_extract_scalar(fields, "$['fieldType']") as fieldType, 2022-04-13 05:22:22 normalization > json_extract_scalar(fields, "$['objectTypeId']") as objectTypeId, 2022-04-13 05:22:22 normalization > _airbyte_ab_id, 2022-04-13 05:22:22 normalization > _airbyte_emitted_at, 2022-04-13 05:22:22 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:22 normalization > from `mansagroup-datascience`.hubspot_.`forms_fieldGroups` as table_alias 2022-04-13 05:22:22 normalization > -- fields at forms/fieldGroups/fields 2022-04-13 05:22:22 normalization > cross join unnest(fields) as fields 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > and fields is not null 2022-04-13 05:22:22 normalization > ), __dbt__cte__forms_fieldGroups_fields_ab2 as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type 2022-04-13 05:22:22 normalization > -- depends_on: __dbt__cte__forms_fieldGroups_fields_ab1 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > _airbyte_fieldGroups_hashid, 2022-04-13 05:22:22 normalization > cast(name as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as name, 2022-04-13 05:22:22 normalization > cast(label as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as label, 2022-04-13 05:22:22 normalization > cast(hidden as boolean) as hidden, 2022-04-13 05:22:22 normalization > cast(required as boolean) as required, 2022-04-13 05:22:22 normalization > cast(fieldType as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as fieldType, 2022-04-13 05:22:22 normalization > cast(objectTypeId as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as objectTypeId, 2022-04-13 05:22:22 normalization > _airbyte_ab_id, 2022-04-13 05:22:22 normalization > _airbyte_emitted_at, 2022-04-13 05:22:22 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:22 normalization > from __dbt__cte__forms_fieldGroups_fields_ab1 2022-04-13 05:22:22 normalization > -- fields at forms/fieldGroups/fields 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > ), __dbt__cte__forms_fieldGroups_fields_ab3 as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > -- SQL model to build a hash column based on the values of this record 2022-04-13 05:22:22 normalization > -- depends_on: __dbt__cte__forms_fieldGroups_fields_ab2 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > to_hex(md5(cast(concat(coalesce(cast(_airbyte_fieldGroups_hashid as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(name as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(label as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hidden as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(required as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(fieldType as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(objectTypeId as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), '')) as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ))) as _airbyte_fields_hashid, 2022-04-13 05:22:22 normalization > tmp.* 2022-04-13 05:22:22 normalization > from __dbt__cte__forms_fieldGroups_fields_ab2 tmp 2022-04-13 05:22:22 normalization > -- fields at forms/fieldGroups/fields 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > )-- Final base SQL model 2022-04-13 05:22:22 normalization > -- depends_on: __dbt__cte__forms_fieldGroups_fields_ab3 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > _airbyte_fieldGroups_hashid, 2022-04-13 05:22:22 normalization > name, 2022-04-13 05:22:22 normalization > label, 2022-04-13 05:22:22 normalization > hidden, 2022-04-13 05:22:22 normalization > required, 2022-04-13 05:22:22 normalization > fieldType, 2022-04-13 05:22:22 normalization > objectTypeId, 2022-04-13 05:22:22 normalization > _airbyte_ab_id, 2022-04-13 05:22:22 normalization > _airbyte_emitted_at, 2022-04-13 05:22:22 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at, 2022-04-13 05:22:22 normalization > _airbyte_fields_hashid 2022-04-13 05:22:22 normalization > from __dbt__cte__forms_fieldGroups_fields_ab3 2022-04-13 05:22:22 normalization > -- fields at forms/fieldGroups/fields from `mansagroup-datascience`.hubspot_.`forms_fieldGroups` 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > ); 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 05:04:26.649361 [debug] [Thread-6 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:04:26.649920 [info ] [Thread-6 ]: 52 of 77 OK created table model hubspot_.forms_configuration_postSubmitAction........................................... [CREATE TABLE (28.0 rows, 5.4 KB processed) in 2.27s] 2022-04-13 05:22:22 normalization > 05:04:26.650359 [debug] [Thread-6 ]: Finished running node model.airbyte_utils.forms_configuration_postSubmitAction 2022-04-13 05:22:22 normalization > 05:04:26.650601 [debug] [Thread-6 ]: Began running node model.airbyte_utils.engagements_emails_properties_ab3 2022-04-13 05:22:22 normalization > 05:04:26.651096 [debug] [Thread-6 ]: Acquiring new bigquery connection "model.airbyte_utils.engagements_emails_properties_ab3" 2022-04-13 05:22:22 normalization > 05:04:26.651293 [debug] [Thread-6 ]: Began compiling node model.airbyte_utils.engagements_emails_properties_ab3 2022-04-13 05:22:22 normalization > 05:04:26.651453 [debug] [Thread-6 ]: Compiling model.airbyte_utils.engagements_emails_properties_ab3 2022-04-13 05:22:22 normalization > 05:04:26.675079 [debug] [Thread-6 ]: On "model.airbyte_utils.engagements_emails_properties_ab3": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:22 normalization > 05:04:26.675292 [debug] [Thread-6 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:22 normalization > 05:04:26.783126 [debug] [Thread-1 ]: Writing injected SQL for node "model.airbyte_utils.engagements_notes_properties_ab3" 2022-04-13 05:22:22 normalization > 05:04:26.783512 [debug] [Thread-1 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:04:26.783928 [debug] [Thread-1 ]: Finished running node model.airbyte_utils.engagements_notes_properties_ab3 2022-04-13 05:22:22 normalization > 05:04:26.784165 [debug] [Thread-1 ]: Began running node model.airbyte_utils.marketing_emails_stats_counters 2022-04-13 05:22:22 normalization > 05:04:26.784733 [info ] [Thread-1 ]: 56 of 77 START table model hubspot_.marketing_emails_stats_counters..................................................... [RUN] 2022-04-13 05:22:22 normalization > 05:04:26.785288 [debug] [Thread-1 ]: Acquiring new bigquery connection "model.airbyte_utils.marketing_emails_stats_counters" 2022-04-13 05:22:22 normalization > 05:04:26.785473 [debug] [Thread-1 ]: Began compiling node model.airbyte_utils.marketing_emails_stats_counters 2022-04-13 05:22:22 normalization > 05:04:26.785631 [debug] [Thread-1 ]: Compiling model.airbyte_utils.marketing_emails_stats_counters 2022-04-13 05:22:22 normalization > 05:04:26.798062 [debug] [Thread-1 ]: Writing injected SQL for node "model.airbyte_utils.marketing_emails_stats_counters" 2022-04-13 05:22:22 normalization > 05:04:26.798410 [debug] [Thread-1 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:04:26.798583 [debug] [Thread-1 ]: Began executing node model.airbyte_utils.marketing_emails_stats_counters 2022-04-13 05:22:22 normalization > 05:04:26.804463 [debug] [Thread-1 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:22 normalization > 05:04:26.890578 [debug] [Thread-1 ]: Writing runtime SQL for node "model.airbyte_utils.marketing_emails_stats_counters" 2022-04-13 05:22:22 normalization > 05:04:26.890913 [debug] [Thread-1 ]: On model.airbyte_utils.marketing_emails_stats_counters: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.marketing_emails_stats_counters"} */ 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > create or replace table `mansagroup-datascience`.hubspot_.`marketing_emails_stats_counters` 2022-04-13 05:22:22 normalization > partition by timestamp_trunc(_airbyte_emitted_at, day) 2022-04-13 05:22:22 normalization > cluster by _airbyte_emitted_at 2022-04-13 05:22:22 normalization > OPTIONS() 2022-04-13 05:22:22 normalization > as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > with __dbt__cte__marketing_emails_stats_counters_ab1 as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema 2022-04-13 05:22:22 normalization > -- depends_on: `mansagroup-datascience`.hubspot_.`marketing_emails_stats` 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > _airbyte_stats_hashid, 2022-04-13 05:22:22 normalization > json_extract_scalar(counters, "$['open']") as open, 2022-04-13 05:22:22 normalization > json_extract_scalar(counters, "$['click']") as click, 2022-04-13 05:22:22 normalization > json_extract_scalar(counters, "$['bounce']") as bounce, 2022-04-13 05:22:22 normalization > json_extract_scalar(counters, "$['dropped']") as dropped, 2022-04-13 05:22:22 normalization > json_extract_scalar(counters, "$['notsent']") as notsent, 2022-04-13 05:22:22 normalization > json_extract_scalar(counters, "$['pending']") as pending, 2022-04-13 05:22:22 normalization > json_extract_scalar(counters, "$['selected']") as selected, 2022-04-13 05:22:22 normalization > json_extract_scalar(counters, "$['delivered']") as delivered, 2022-04-13 05:22:22 normalization > json_extract_scalar(counters, "$['spamreport']") as spamreport, 2022-04-13 05:22:22 normalization > json_extract_scalar(counters, "$['suppressed']") as suppressed, 2022-04-13 05:22:22 normalization > json_extract_scalar(counters, "$['hardbounced']") as hardbounced, 2022-04-13 05:22:22 normalization > json_extract_scalar(counters, "$['softbounced']") as softbounced, 2022-04-13 05:22:22 normalization > json_extract_scalar(counters, "$['contactslost']") as contactslost, 2022-04-13 05:22:22 normalization > json_extract_scalar(counters, "$['unsubscribed']") as unsubscribed, 2022-04-13 05:22:22 normalization > _airbyte_ab_id, 2022-04-13 05:22:22 normalization > _airbyte_emitted_at, 2022-04-13 05:22:22 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:22 normalization > from `mansagroup-datascience`.hubspot_.`marketing_emails_stats` as table_alias 2022-04-13 05:22:22 normalization > -- counters at marketing_emails/stats/counters 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > and counters is not null 2022-04-13 05:22:22 normalization > ), __dbt__cte__marketing_emails_stats_counters_ab2 as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type 2022-04-13 05:22:22 normalization > -- depends_on: __dbt__cte__marketing_emails_stats_counters_ab1 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > _airbyte_stats_hashid, 2022-04-13 05:22:22 normalization > cast(open as 2022-04-13 05:22:22 normalization > int64 2022-04-13 05:22:22 normalization > ) as open, 2022-04-13 05:22:22 normalization > cast(click as 2022-04-13 05:22:22 normalization > int64 2022-04-13 05:22:22 normalization > ) as click, 2022-04-13 05:22:22 normalization > cast(bounce as 2022-04-13 05:22:22 normalization > int64 2022-04-13 05:22:22 normalization > ) as bounce, 2022-04-13 05:22:22 normalization > cast(dropped as 2022-04-13 05:22:22 normalization > int64 2022-04-13 05:22:22 normalization > ) as dropped, 2022-04-13 05:22:22 normalization > cast(notsent as 2022-04-13 05:22:22 normalization > int64 2022-04-13 05:22:22 normalization > ) as notsent, 2022-04-13 05:22:22 normalization > cast(pending as 2022-04-13 05:22:22 normalization > int64 2022-04-13 05:22:22 normalization > ) as pending, 2022-04-13 05:22:22 normalization > cast(selected as 2022-04-13 05:22:22 normalization > int64 2022-04-13 05:22:22 normalization > ) as selected, 2022-04-13 05:22:22 normalization > cast(delivered as 2022-04-13 05:22:22 normalization > int64 2022-04-13 05:22:22 normalization > ) as delivered, 2022-04-13 05:22:22 normalization > cast(spamreport as 2022-04-13 05:22:22 normalization > int64 2022-04-13 05:22:22 normalization > ) as spamreport, 2022-04-13 05:22:22 normalization > cast(suppressed as 2022-04-13 05:22:22 normalization > int64 2022-04-13 05:22:22 normalization > ) as suppressed, 2022-04-13 05:22:22 normalization > cast(hardbounced as 2022-04-13 05:22:22 normalization > int64 2022-04-13 05:22:22 normalization > ) as hardbounced, 2022-04-13 05:22:22 normalization > cast(softbounced as 2022-04-13 05:22:22 normalization > int64 2022-04-13 05:22:22 normalization > ) as softbounced, 2022-04-13 05:22:22 normalization > cast(contactslost as 2022-04-13 05:22:22 normalization > int64 2022-04-13 05:22:22 normalization > ) as contactslost, 2022-04-13 05:22:22 normalization > cast(unsubscribed as 2022-04-13 05:22:22 normalization > int64 2022-04-13 05:22:22 normalization > ) as unsubscribed, 2022-04-13 05:22:22 normalization > _airbyte_ab_id, 2022-04-13 05:22:22 normalization > _airbyte_emitted_at, 2022-04-13 05:22:22 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:22 normalization > from __dbt__cte__marketing_emails_stats_counters_ab1 2022-04-13 05:22:22 normalization > -- counters at marketing_emails/stats/counters 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > ), __dbt__cte__marketing_emails_stats_counters_ab3 as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > -- SQL model to build a hash column based on the values of this record 2022-04-13 05:22:22 normalization > -- depends_on: __dbt__cte__marketing_emails_stats_counters_ab2 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > to_hex(md5(cast(concat(coalesce(cast(_airbyte_stats_hashid as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(open as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(click as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(bounce as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(dropped as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(notsent as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(pending as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(selected as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(delivered as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(spamreport as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(suppressed as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hardbounced as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(softbounced as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(contactslost as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(unsubscribed as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), '')) as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ))) as _airbyte_counters_hashid, 2022-04-13 05:22:22 normalization > tmp.* 2022-04-13 05:22:22 normalization > from __dbt__cte__marketing_emails_stats_counters_ab2 tmp 2022-04-13 05:22:22 normalization > -- counters at marketing_emails/stats/counters 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > )-- Final base SQL model 2022-04-13 05:22:22 normalization > -- depends_on: __dbt__cte__marketing_emails_stats_counters_ab3 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > _airbyte_stats_hashid, 2022-04-13 05:22:22 normalization > open, 2022-04-13 05:22:22 normalization > click, 2022-04-13 05:22:22 normalization > bounce, 2022-04-13 05:22:22 normalization > dropped, 2022-04-13 05:22:22 normalization > notsent, 2022-04-13 05:22:22 normalization > pending, 2022-04-13 05:22:22 normalization > selected, 2022-04-13 05:22:22 normalization > delivered, 2022-04-13 05:22:22 normalization > spamreport, 2022-04-13 05:22:22 normalization > suppressed, 2022-04-13 05:22:22 normalization > hardbounced, 2022-04-13 05:22:22 normalization > softbounced, 2022-04-13 05:22:22 normalization > contactslost, 2022-04-13 05:22:22 normalization > unsubscribed, 2022-04-13 05:22:22 normalization > _airbyte_ab_id, 2022-04-13 05:22:22 normalization > _airbyte_emitted_at, 2022-04-13 05:22:22 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at, 2022-04-13 05:22:22 normalization > _airbyte_counters_hashid 2022-04-13 05:22:22 normalization > from __dbt__cte__marketing_emails_stats_counters_ab3 2022-04-13 05:22:22 normalization > -- counters at marketing_emails/stats/counters from `mansagroup-datascience`.hubspot_.`marketing_emails_stats` 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > ); 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 05:04:27.103284 [debug] [Thread-6 ]: Writing injected SQL for node "model.airbyte_utils.engagements_emails_properties_ab3" 2022-04-13 05:22:22 normalization > 05:04:27.104153 [debug] [Thread-6 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:04:27.104710 [debug] [Thread-6 ]: Finished running node model.airbyte_utils.engagements_emails_properties_ab3 2022-04-13 05:22:22 normalization > 05:04:27.104963 [debug] [Thread-6 ]: Began running node model.airbyte_utils.marketing_emails_stats_deviceBreakdown 2022-04-13 05:22:22 normalization > 05:04:27.105463 [info ] [Thread-6 ]: 57 of 77 START table model hubspot_.marketing_emails_stats_deviceBreakdown.............................................. [RUN] 2022-04-13 05:22:22 normalization > 05:04:27.106470 [debug] [Thread-6 ]: Acquiring new bigquery connection "model.airbyte_utils.marketing_emails_stats_deviceBreakdown" 2022-04-13 05:22:22 normalization > 05:04:27.106683 [debug] [Thread-6 ]: Began compiling node model.airbyte_utils.marketing_emails_stats_deviceBreakdown 2022-04-13 05:22:22 normalization > 05:04:27.106853 [debug] [Thread-6 ]: Compiling model.airbyte_utils.marketing_emails_stats_deviceBreakdown 2022-04-13 05:22:22 normalization > 05:04:27.115622 [debug] [Thread-6 ]: Writing injected SQL for node "model.airbyte_utils.marketing_emails_stats_deviceBreakdown" 2022-04-13 05:22:22 normalization > 05:04:27.115944 [debug] [Thread-6 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:04:27.116120 [debug] [Thread-6 ]: Began executing node model.airbyte_utils.marketing_emails_stats_deviceBreakdown 2022-04-13 05:22:22 normalization > 05:04:27.120417 [debug] [Thread-6 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:22 normalization > 05:04:27.220351 [debug] [Thread-6 ]: Writing runtime SQL for node "model.airbyte_utils.marketing_emails_stats_deviceBreakdown" 2022-04-13 05:22:22 normalization > 05:04:27.220707 [debug] [Thread-6 ]: On model.airbyte_utils.marketing_emails_stats_deviceBreakdown: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.marketing_emails_stats_deviceBreakdown"} */ 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > create or replace table `mansagroup-datascience`.hubspot_.`marketing_emails_stats_deviceBreakdown` 2022-04-13 05:22:22 normalization > partition by timestamp_trunc(_airbyte_emitted_at, day) 2022-04-13 05:22:22 normalization > cluster by _airbyte_emitted_at 2022-04-13 05:22:22 normalization > OPTIONS() 2022-04-13 05:22:22 normalization > as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > with __dbt__cte__marketing_emails_stats_deviceBreakdown_ab1 as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema 2022-04-13 05:22:22 normalization > -- depends_on: `mansagroup-datascience`.hubspot_.`marketing_emails_stats` 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > _airbyte_stats_hashid, 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > json_extract(table_alias.deviceBreakdown, "$['open_device_type']") 2022-04-13 05:22:22 normalization > as open_device_type, 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > json_extract(table_alias.deviceBreakdown, "$['click_device_type']") 2022-04-13 05:22:22 normalization > as click_device_type, 2022-04-13 05:22:22 normalization > _airbyte_ab_id, 2022-04-13 05:22:22 normalization > _airbyte_emitted_at, 2022-04-13 05:22:22 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:22 normalization > from `mansagroup-datascience`.hubspot_.`marketing_emails_stats` as table_alias 2022-04-13 05:22:22 normalization > -- deviceBreakdown at marketing_emails/stats/deviceBreakdown 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > and deviceBreakdown is not null 2022-04-13 05:22:22 normalization > ), __dbt__cte__marketing_emails_stats_deviceBreakdown_ab2 as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type 2022-04-13 05:22:22 normalization > -- depends_on: __dbt__cte__marketing_emails_stats_deviceBreakdown_ab1 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > _airbyte_stats_hashid, 2022-04-13 05:22:22 normalization > cast(open_device_type as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as open_device_type, 2022-04-13 05:22:22 normalization > cast(click_device_type as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as click_device_type, 2022-04-13 05:22:22 normalization > _airbyte_ab_id, 2022-04-13 05:22:22 normalization > _airbyte_emitted_at, 2022-04-13 05:22:22 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:22 normalization > from __dbt__cte__marketing_emails_stats_deviceBreakdown_ab1 2022-04-13 05:22:22 normalization > -- deviceBreakdown at marketing_emails/stats/deviceBreakdown 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > ), __dbt__cte__marketing_emails_stats_deviceBreakdown_ab3 as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > -- SQL model to build a hash column based on the values of this record 2022-04-13 05:22:22 normalization > -- depends_on: __dbt__cte__marketing_emails_stats_deviceBreakdown_ab2 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > to_hex(md5(cast(concat(coalesce(cast(_airbyte_stats_hashid as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(open_device_type as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(click_device_type as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), '')) as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ))) as _airbyte_deviceBreakdown_hashid, 2022-04-13 05:22:22 normalization > tmp.* 2022-04-13 05:22:22 normalization > from __dbt__cte__marketing_emails_stats_deviceBreakdown_ab2 tmp 2022-04-13 05:22:22 normalization > -- deviceBreakdown at marketing_emails/stats/deviceBreakdown 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > )-- Final base SQL model 2022-04-13 05:22:22 normalization > -- depends_on: __dbt__cte__marketing_emails_stats_deviceBreakdown_ab3 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > _airbyte_stats_hashid, 2022-04-13 05:22:22 normalization > open_device_type, 2022-04-13 05:22:22 normalization > click_device_type, 2022-04-13 05:22:22 normalization > _airbyte_ab_id, 2022-04-13 05:22:22 normalization > _airbyte_emitted_at, 2022-04-13 05:22:22 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at, 2022-04-13 05:22:22 normalization > _airbyte_deviceBreakdown_hashid 2022-04-13 05:22:22 normalization > from __dbt__cte__marketing_emails_stats_deviceBreakdown_ab3 2022-04-13 05:22:22 normalization > -- deviceBreakdown at marketing_emails/stats/deviceBreakdown from `mansagroup-datascience`.hubspot_.`marketing_emails_stats` 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > ); 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 05:04:28.631843 [debug] [Thread-8 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:04:28.632496 [info ] [Thread-8 ]: 54 of 77 OK created table model hubspot_.forms_fieldGroups_fields....................................................... [CREATE TABLE (152.0 rows, 35.0 KB processed) in 2.30s] 2022-04-13 05:22:22 normalization > 05:04:28.632933 [debug] [Thread-8 ]: Finished running node model.airbyte_utils.forms_fieldGroups_fields 2022-04-13 05:22:22 normalization > 05:04:28.633136 [debug] [Thread-8 ]: Began running node model.airbyte_utils.marketing_emails_stats_ratios 2022-04-13 05:22:22 normalization > 05:04:28.633576 [info ] [Thread-8 ]: 58 of 77 START table model hubspot_.marketing_emails_stats_ratios....................................................... [RUN] 2022-04-13 05:22:22 normalization > 05:04:28.634081 [debug] [Thread-8 ]: Acquiring new bigquery connection "model.airbyte_utils.marketing_emails_stats_ratios" 2022-04-13 05:22:22 normalization > 05:04:28.634271 [debug] [Thread-8 ]: Began compiling node model.airbyte_utils.marketing_emails_stats_ratios 2022-04-13 05:22:22 normalization > 05:04:28.634429 [debug] [Thread-8 ]: Compiling model.airbyte_utils.marketing_emails_stats_ratios 2022-04-13 05:22:22 normalization > 05:04:28.644143 [debug] [Thread-8 ]: Writing injected SQL for node "model.airbyte_utils.marketing_emails_stats_ratios" 2022-04-13 05:22:22 normalization > 05:04:28.644496 [debug] [Thread-8 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:04:28.644672 [debug] [Thread-8 ]: Began executing node model.airbyte_utils.marketing_emails_stats_ratios 2022-04-13 05:22:22 normalization > 05:04:28.648705 [debug] [Thread-8 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:22 normalization > 05:04:28.752114 [debug] [Thread-8 ]: Writing runtime SQL for node "model.airbyte_utils.marketing_emails_stats_ratios" 2022-04-13 05:22:22 normalization > 05:04:28.754596 [debug] [Thread-8 ]: On model.airbyte_utils.marketing_emails_stats_ratios: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.marketing_emails_stats_ratios"} */ 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > create or replace table `mansagroup-datascience`.hubspot_.`marketing_emails_stats_ratios` 2022-04-13 05:22:22 normalization > partition by timestamp_trunc(_airbyte_emitted_at, day) 2022-04-13 05:22:22 normalization > cluster by _airbyte_emitted_at 2022-04-13 05:22:22 normalization > OPTIONS() 2022-04-13 05:22:22 normalization > as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > with __dbt__cte__marketing_emails_stats_ratios_ab1 as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema 2022-04-13 05:22:22 normalization > -- depends_on: `mansagroup-datascience`.hubspot_.`marketing_emails_stats` 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > _airbyte_stats_hashid, 2022-04-13 05:22:22 normalization > json_extract_scalar(ratios, "$['openratio']") as openratio, 2022-04-13 05:22:22 normalization > json_extract_scalar(ratios, "$['clickratio']") as clickratio, 2022-04-13 05:22:22 normalization > json_extract_scalar(ratios, "$['bounceratio']") as bounceratio, 2022-04-13 05:22:22 normalization > json_extract_scalar(ratios, "$['notsentratio']") as notsentratio, 2022-04-13 05:22:22 normalization > json_extract_scalar(ratios, "$['pendingratio']") as pendingratio, 2022-04-13 05:22:22 normalization > json_extract_scalar(ratios, "$['deliveredratio']") as deliveredratio, 2022-04-13 05:22:22 normalization > json_extract_scalar(ratios, "$['hardbounceratio']") as hardbounceratio, 2022-04-13 05:22:22 normalization > json_extract_scalar(ratios, "$['softbounceratio']") as softbounceratio, 2022-04-13 05:22:22 normalization > json_extract_scalar(ratios, "$['spamreportratio']") as spamreportratio, 2022-04-13 05:22:22 normalization > json_extract_scalar(ratios, "$['clickthroughratio']") as clickthroughratio, 2022-04-13 05:22:22 normalization > json_extract_scalar(ratios, "$['contactslostratio']") as contactslostratio, 2022-04-13 05:22:22 normalization > json_extract_scalar(ratios, "$['unsubscribedratio']") as unsubscribedratio, 2022-04-13 05:22:22 normalization > _airbyte_ab_id, 2022-04-13 05:22:22 normalization > _airbyte_emitted_at, 2022-04-13 05:22:22 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:22 normalization > from `mansagroup-datascience`.hubspot_.`marketing_emails_stats` as table_alias 2022-04-13 05:22:22 normalization > -- ratios at marketing_emails/stats/ratios 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > and ratios is not null 2022-04-13 05:22:22 normalization > ), __dbt__cte__marketing_emails_stats_ratios_ab2 as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type 2022-04-13 05:22:22 normalization > -- depends_on: __dbt__cte__marketing_emails_stats_ratios_ab1 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > _airbyte_stats_hashid, 2022-04-13 05:22:22 normalization > cast(openratio as 2022-04-13 05:22:22 normalization > float64 2022-04-13 05:22:22 normalization > ) as openratio, 2022-04-13 05:22:22 normalization > cast(clickratio as 2022-04-13 05:22:22 normalization > float64 2022-04-13 05:22:22 normalization > ) as clickratio, 2022-04-13 05:22:22 normalization > cast(bounceratio as 2022-04-13 05:22:22 normalization > float64 2022-04-13 05:22:22 normalization > ) as bounceratio, 2022-04-13 05:22:22 normalization > cast(notsentratio as 2022-04-13 05:22:22 normalization > float64 2022-04-13 05:22:22 normalization > ) as notsentratio, 2022-04-13 05:22:22 normalization > cast(pendingratio as 2022-04-13 05:22:22 normalization > float64 2022-04-13 05:22:22 normalization > ) as pendingratio, 2022-04-13 05:22:22 normalization > cast(deliveredratio as 2022-04-13 05:22:22 normalization > float64 2022-04-13 05:22:22 normalization > ) as deliveredratio, 2022-04-13 05:22:22 normalization > cast(hardbounceratio as 2022-04-13 05:22:22 normalization > float64 2022-04-13 05:22:22 normalization > ) as hardbounceratio, 2022-04-13 05:22:22 normalization > cast(softbounceratio as 2022-04-13 05:22:22 normalization > float64 2022-04-13 05:22:22 normalization > ) as softbounceratio, 2022-04-13 05:22:22 normalization > cast(spamreportratio as 2022-04-13 05:22:22 normalization > float64 2022-04-13 05:22:22 normalization > ) as spamreportratio, 2022-04-13 05:22:22 normalization > cast(clickthroughratio as 2022-04-13 05:22:22 normalization > float64 2022-04-13 05:22:22 normalization > ) as clickthroughratio, 2022-04-13 05:22:22 normalization > cast(contactslostratio as 2022-04-13 05:22:22 normalization > float64 2022-04-13 05:22:22 normalization > ) as contactslostratio, 2022-04-13 05:22:22 normalization > cast(unsubscribedratio as 2022-04-13 05:22:22 normalization > float64 2022-04-13 05:22:22 normalization > ) as unsubscribedratio, 2022-04-13 05:22:22 normalization > _airbyte_ab_id, 2022-04-13 05:22:22 normalization > _airbyte_emitted_at, 2022-04-13 05:22:22 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:22 normalization > from __dbt__cte__marketing_emails_stats_ratios_ab1 2022-04-13 05:22:22 normalization > -- ratios at marketing_emails/stats/ratios 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > ), __dbt__cte__marketing_emails_stats_ratios_ab3 as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > -- SQL model to build a hash column based on the values of this record 2022-04-13 05:22:22 normalization > -- depends_on: __dbt__cte__marketing_emails_stats_ratios_ab2 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > to_hex(md5(cast(concat(coalesce(cast(_airbyte_stats_hashid as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(openratio as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(clickratio as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(bounceratio as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(notsentratio as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(pendingratio as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(deliveredratio as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hardbounceratio as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(softbounceratio as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(spamreportratio as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(clickthroughratio as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(contactslostratio as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(unsubscribedratio as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), '')) as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ))) as _airbyte_ratios_hashid, 2022-04-13 05:22:22 normalization > tmp.* 2022-04-13 05:22:22 normalization > from __dbt__cte__marketing_emails_stats_ratios_ab2 tmp 2022-04-13 05:22:22 normalization > -- ratios at marketing_emails/stats/ratios 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > )-- Final base SQL model 2022-04-13 05:22:22 normalization > -- depends_on: __dbt__cte__marketing_emails_stats_ratios_ab3 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > _airbyte_stats_hashid, 2022-04-13 05:22:22 normalization > openratio, 2022-04-13 05:22:22 normalization > clickratio, 2022-04-13 05:22:22 normalization > bounceratio, 2022-04-13 05:22:22 normalization > notsentratio, 2022-04-13 05:22:22 normalization > pendingratio, 2022-04-13 05:22:22 normalization > deliveredratio, 2022-04-13 05:22:22 normalization > hardbounceratio, 2022-04-13 05:22:22 normalization > softbounceratio, 2022-04-13 05:22:22 normalization > spamreportratio, 2022-04-13 05:22:22 normalization > clickthroughratio, 2022-04-13 05:22:22 normalization > contactslostratio, 2022-04-13 05:22:22 normalization > unsubscribedratio, 2022-04-13 05:22:22 normalization > _airbyte_ab_id, 2022-04-13 05:22:22 normalization > _airbyte_emitted_at, 2022-04-13 05:22:22 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at, 2022-04-13 05:22:22 normalization > _airbyte_ratios_hashid 2022-04-13 05:22:22 normalization > from __dbt__cte__marketing_emails_stats_ratios_ab3 2022-04-13 05:22:22 normalization > -- ratios at marketing_emails/stats/ratios from `mansagroup-datascience`.hubspot_.`marketing_emails_stats` 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > ); 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 05:04:28.835978 [debug] [Thread-1 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:04:28.836551 [info ] [Thread-1 ]: 56 of 77 OK created table model hubspot_.marketing_emails_stats_counters................................................ [CREATE TABLE (35.0 rows, 10.3 KB processed) in 2.05s] 2022-04-13 05:22:22 normalization > 05:04:28.836967 [debug] [Thread-1 ]: Finished running node model.airbyte_utils.marketing_emails_stats_counters 2022-04-13 05:22:22 normalization > 05:04:28.837166 [debug] [Thread-1 ]: Began running node model.airbyte_utils.email_events_browser_ab3 2022-04-13 05:22:22 normalization > 05:04:28.837669 [debug] [Thread-1 ]: Acquiring new bigquery connection "model.airbyte_utils.email_events_browser_ab3" 2022-04-13 05:22:22 normalization > 05:04:28.837851 [debug] [Thread-1 ]: Began compiling node model.airbyte_utils.email_events_browser_ab3 2022-04-13 05:22:22 normalization > 05:04:28.838007 [debug] [Thread-1 ]: Compiling model.airbyte_utils.email_events_browser_ab3 2022-04-13 05:22:22 normalization > 05:04:28.845835 [debug] [Thread-1 ]: On "model.airbyte_utils.email_events_browser_ab3": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:22 normalization > 05:04:28.846063 [debug] [Thread-1 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:22 normalization > 05:04:29.109009 [debug] [Thread-6 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:04:29.109685 [info ] [Thread-6 ]: 57 of 77 OK created table model hubspot_.marketing_emails_stats_deviceBreakdown......................................... [CREATE TABLE (35.0 rows, 6.9 KB processed) in 2.00s] 2022-04-13 05:22:22 normalization > 05:04:29.110356 [debug] [Thread-6 ]: Finished running node model.airbyte_utils.marketing_emails_stats_deviceBreakdown 2022-04-13 05:22:22 normalization > 05:04:29.110725 [debug] [Thread-6 ]: Began running node model.airbyte_utils.subscription_changes_changes_causedByEvent_ab3 2022-04-13 05:22:22 normalization > 05:04:29.111601 [debug] [Thread-6 ]: Acquiring new bigquery connection "model.airbyte_utils.subscription_changes_changes_causedByEvent_ab3" 2022-04-13 05:22:22 normalization > 05:04:29.111832 [debug] [Thread-6 ]: Began compiling node model.airbyte_utils.subscription_changes_changes_causedByEvent_ab3 2022-04-13 05:22:22 normalization > 05:04:29.112035 [debug] [Thread-6 ]: Compiling model.airbyte_utils.subscription_changes_changes_causedByEvent_ab3 2022-04-13 05:22:22 normalization > 05:04:29.120018 [debug] [Thread-6 ]: On "model.airbyte_utils.subscription_changes_changes_causedByEvent_ab3": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:22 normalization > 05:04:29.120242 [debug] [Thread-6 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:22 normalization > 05:04:29.152251 [debug] [Thread-1 ]: Writing injected SQL for node "model.airbyte_utils.email_events_browser_ab3" 2022-04-13 05:22:22 normalization > 05:04:29.152603 [debug] [Thread-1 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:04:29.153044 [debug] [Thread-1 ]: Finished running node model.airbyte_utils.email_events_browser_ab3 2022-04-13 05:22:22 normalization > 05:04:29.153330 [debug] [Thread-1 ]: Began running node model.airbyte_utils.email_events_causedBy_ab3 2022-04-13 05:22:22 normalization > 05:04:29.153854 [debug] [Thread-1 ]: Acquiring new bigquery connection "model.airbyte_utils.email_events_causedBy_ab3" 2022-04-13 05:22:22 normalization > 05:04:29.154233 [debug] [Thread-1 ]: Began compiling node model.airbyte_utils.email_events_causedBy_ab3 2022-04-13 05:22:22 normalization > 05:04:29.154538 [debug] [Thread-1 ]: Compiling model.airbyte_utils.email_events_causedBy_ab3 2022-04-13 05:22:22 normalization > 05:04:29.164075 [debug] [Thread-1 ]: On "model.airbyte_utils.email_events_causedBy_ab3": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:22 normalization > 05:04:29.164377 [debug] [Thread-1 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:22 normalization > 05:04:29.457608 [debug] [Thread-6 ]: Writing injected SQL for node "model.airbyte_utils.subscription_changes_changes_causedByEvent_ab3" 2022-04-13 05:22:22 normalization > 05:04:29.464280 [debug] [Thread-1 ]: Writing injected SQL for node "model.airbyte_utils.email_events_causedBy_ab3" 2022-04-13 05:22:22 normalization > 05:04:29.464597 [debug] [Thread-6 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:04:29.465134 [debug] [Thread-6 ]: Finished running node model.airbyte_utils.subscription_changes_changes_causedByEvent_ab3 2022-04-13 05:22:22 normalization > 05:04:29.465359 [debug] [Thread-1 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:04:29.465643 [debug] [Thread-6 ]: Began running node model.airbyte_utils.email_events_obsoletedBy_ab3 2022-04-13 05:22:22 normalization > 05:04:29.466381 [debug] [Thread-1 ]: Finished running node model.airbyte_utils.email_events_causedBy_ab3 2022-04-13 05:22:22 normalization > 05:04:29.466829 [debug] [Thread-6 ]: Acquiring new bigquery connection "model.airbyte_utils.email_events_obsoletedBy_ab3" 2022-04-13 05:22:22 normalization > 05:04:29.467099 [debug] [Thread-1 ]: Began running node model.airbyte_utils.email_events_location_ab3 2022-04-13 05:22:22 normalization > 05:04:29.467492 [debug] [Thread-6 ]: Began compiling node model.airbyte_utils.email_events_obsoletedBy_ab3 2022-04-13 05:22:22 normalization > 05:04:29.468000 [debug] [Thread-1 ]: Acquiring new bigquery connection "model.airbyte_utils.email_events_location_ab3" 2022-04-13 05:22:22 normalization > 05:04:29.468247 [debug] [Thread-6 ]: Compiling model.airbyte_utils.email_events_obsoletedBy_ab3 2022-04-13 05:22:22 normalization > 05:04:29.468472 [debug] [Thread-1 ]: Began compiling node model.airbyte_utils.email_events_location_ab3 2022-04-13 05:22:22 normalization > 05:04:29.475339 [debug] [Thread-6 ]: On "model.airbyte_utils.email_events_obsoletedBy_ab3": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:22 normalization > 05:04:29.475582 [debug] [Thread-1 ]: Compiling model.airbyte_utils.email_events_location_ab3 2022-04-13 05:22:22 normalization > 05:04:29.475818 [debug] [Thread-6 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:22 normalization > 05:04:29.482992 [debug] [Thread-1 ]: On "model.airbyte_utils.email_events_location_ab3": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:22 normalization > 05:04:29.483441 [debug] [Thread-1 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:22 normalization > 05:04:29.796957 [debug] [Thread-6 ]: Writing injected SQL for node "model.airbyte_utils.email_events_obsoletedBy_ab3" 2022-04-13 05:22:22 normalization > 05:04:29.807428 [debug] [Thread-1 ]: Writing injected SQL for node "model.airbyte_utils.email_events_location_ab3" 2022-04-13 05:22:22 normalization > 05:04:29.807805 [debug] [Thread-6 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:04:29.808371 [debug] [Thread-6 ]: Finished running node model.airbyte_utils.email_events_obsoletedBy_ab3 2022-04-13 05:22:22 normalization > 05:04:29.808571 [debug] [Thread-1 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:04:29.808844 [debug] [Thread-6 ]: Began running node model.airbyte_utils.email_events_sentBy_ab3 2022-04-13 05:22:22 normalization > 05:04:29.809594 [debug] [Thread-1 ]: Finished running node model.airbyte_utils.email_events_location_ab3 2022-04-13 05:22:22 normalization > 05:04:29.810038 [debug] [Thread-6 ]: Acquiring new bigquery connection "model.airbyte_utils.email_events_sentBy_ab3" 2022-04-13 05:22:22 normalization > 05:04:29.810320 [debug] [Thread-1 ]: Began running node model.airbyte_utils.engagements_tasks_properties 2022-04-13 05:22:22 normalization > 05:04:29.810684 [debug] [Thread-6 ]: Began compiling node model.airbyte_utils.email_events_sentBy_ab3 2022-04-13 05:22:22 normalization > 05:04:29.811185 [info ] [Thread-1 ]: 59 of 77 START incremental model hubspot_.engagements_tasks_properties.................................................. [RUN] 2022-04-13 05:22:22 normalization > 05:04:29.811442 [debug] [Thread-6 ]: Compiling model.airbyte_utils.email_events_sentBy_ab3 2022-04-13 05:22:22 normalization > 05:04:29.812022 [debug] [Thread-1 ]: Acquiring new bigquery connection "model.airbyte_utils.engagements_tasks_properties" 2022-04-13 05:22:22 normalization > 05:04:29.819745 [debug] [Thread-1 ]: Began compiling node model.airbyte_utils.engagements_tasks_properties 2022-04-13 05:22:22 normalization > 05:04:29.820230 [debug] [Thread-1 ]: Compiling model.airbyte_utils.engagements_tasks_properties 2022-04-13 05:22:22 normalization > 05:04:29.827653 [debug] [Thread-1 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:22 normalization > 05:04:29.829773 [debug] [Thread-6 ]: On "model.airbyte_utils.email_events_sentBy_ab3": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:22 normalization > 05:04:29.829970 [debug] [Thread-6 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:22 normalization > 05:04:29.932434 [debug] [Thread-1 ]: Writing injected SQL for node "model.airbyte_utils.engagements_tasks_properties" 2022-04-13 05:22:22 normalization > 05:04:29.932811 [debug] [Thread-1 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:04:29.932992 [debug] [Thread-1 ]: Began executing node model.airbyte_utils.engagements_tasks_properties 2022-04-13 05:22:22 normalization > 05:04:29.984646 [debug] [Thread-1 ]: On model.airbyte_utils.engagements_tasks_properties: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.engagements_tasks_properties"} */ 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > create or replace table `mansagroup-datascience`.hubspot_.`engagements_tasks_properties__dbt_tmp` 2022-04-13 05:22:22 normalization > partition by timestamp_trunc(_airbyte_emitted_at, day) 2022-04-13 05:22:22 normalization > cluster by _airbyte_emitted_at 2022-04-13 05:22:22 normalization > OPTIONS( 2022-04-13 05:22:22 normalization > expiration_timestamp=TIMESTAMP_ADD(CURRENT_TIMESTAMP(), INTERVAL 12 hour) 2022-04-13 05:22:22 normalization > ) 2022-04-13 05:22:22 normalization > as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > with __dbt__cte__engagements_tasks_properties_ab1 as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema 2022-04-13 05:22:22 normalization > -- depends_on: `mansagroup-datascience`.hubspot_.`engagements_tasks` 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > _airbyte_engagements_tasks_hashid, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_object_id']") as hs_object_id, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_task_body']") as hs_task_body, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_task_type']") as hs_task_type, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_timestamp']") as hs_timestamp, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_unique_id']") as hs_unique_id, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_created_by']") as hs_created_by, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_createdate']") as hs_createdate, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_modified_by']") as hs_modified_by, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_task_status']") as hs_task_status, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_all_team_ids']") as hs_all_team_ids, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_body_preview']") as hs_body_preview, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_gdpr_deleted']") as hs_gdpr_deleted, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_product_name']") as hs_product_name, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_task_subject']") as hs_task_subject, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hubspot_team_id']") as hubspot_team_id, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_all_owner_ids']") as hs_all_owner_ids, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_task_priority']") as hs_task_priority, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hubspot_owner_id']") as hubspot_owner_id, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_attachment_ids']") as hs_attachment_ids, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_task_reminders']") as hs_task_reminders, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_scheduled_tasks']") as hs_scheduled_tasks, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_task_is_all_day']") as hs_task_is_all_day, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_follow_up_action']") as hs_follow_up_action, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_lastmodifieddate']") as hs_lastmodifieddate, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_task_template_id']") as hs_task_template_id, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_body_preview_html']") as hs_body_preview_html, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_calendar_event_id']") as hs_calendar_event_id, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_engagement_source']") as hs_engagement_source, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_merged_object_ids']") as hs_merged_object_ids, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_created_by_user_id']") as hs_created_by_user_id, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_msteams_message_id']") as hs_msteams_message_id, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_updated_by_user_id']") as hs_updated_by_user_id, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_unique_creation_key']") as hs_unique_creation_key, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_engagement_source_id']") as hs_engagement_source_id, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_num_associated_deals']") as hs_num_associated_deals, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_queue_membership_ids']") as hs_queue_membership_ids, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_task_completion_date']") as hs_task_completion_date, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_task_for_object_type']") as hs_task_for_object_type, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_task_repeat_interval']") as hs_task_repeat_interval, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_task_contact_timezone']") as hs_task_contact_timezone, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_at_mentioned_owner_ids']") as hs_at_mentioned_owner_ids, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_num_associated_tickets']") as hs_num_associated_tickets, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_user_ids_of_all_owners']") as hs_user_ids_of_all_owners, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_all_accessible_team_ids']") as hs_all_accessible_team_ids, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_num_associated_contacts']") as hs_num_associated_contacts, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_task_relative_reminders']") as hs_task_relative_reminders, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hubspot_owner_assigneddate']") as hubspot_owner_assigneddate, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_num_associated_companies']") as hs_num_associated_companies, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_task_sequence_step_order']") as hs_task_sequence_step_order, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_body_preview_is_truncated']") as hs_body_preview_is_truncated, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_task_last_contact_outreach']") as hs_task_last_contact_outreach, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_task_send_default_reminder']") as hs_task_send_default_reminder, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_num_associated_queue_objects']") as hs_num_associated_queue_objects, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_task_probability_to_complete']") as hs_task_probability_to_complete, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_all_assigned_business_unit_ids']") as hs_all_assigned_business_unit_ids, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_task_sequence_enrollment_active']") as hs_task_sequence_enrollment_active, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_task_sequence_step_enrollment_id']") as hs_task_sequence_step_enrollment_id, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_task_last_sales_activity_timestamp']") as hs_task_last_sales_activity_timestamp, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_user_ids_of_all_notification_followers']") as hs_user_ids_of_all_notification_followers, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_user_ids_of_all_notification_unfollowers']") as hs_user_ids_of_all_notification_unfollowers, 2022-04-13 05:22:22 normalization > _airbyte_ab_id, 2022-04-13 05:22:22 normalization > _airbyte_emitted_at, 2022-04-13 05:22:22 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:22 normalization > from `mansagroup-datascience`.hubspot_.`engagements_tasks` as table_alias 2022-04-13 05:22:22 normalization > -- properties at engagements_tasks/properties 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > and properties is not null 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > ), __dbt__cte__engagements_tasks_properties_ab2 as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type 2022-04-13 05:22:22 normalization > -- depends_on: __dbt__cte__engagements_tasks_properties_ab1 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > _airbyte_engagements_tasks_hashid, 2022-04-13 05:22:22 normalization > cast(hs_object_id as 2022-04-13 05:22:22 normalization > float64 2022-04-13 05:22:22 normalization > ) as hs_object_id, 2022-04-13 05:22:22 normalization > cast(hs_task_body as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_task_body, 2022-04-13 05:22:22 normalization > cast(hs_task_type as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_task_type, 2022-04-13 05:22:22 normalization > cast(nullif(hs_timestamp, '') as 2022-04-13 05:22:22 normalization > timestamp 2022-04-13 05:22:22 normalization > ) as hs_timestamp, 2022-04-13 05:22:22 normalization > cast(hs_unique_id as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_unique_id, 2022-04-13 05:22:22 normalization > cast(hs_created_by as 2022-04-13 05:22:22 normalization > float64 2022-04-13 05:22:22 normalization > ) as hs_created_by, 2022-04-13 05:22:22 normalization > cast(nullif(hs_createdate, '') as 2022-04-13 05:22:22 normalization > timestamp 2022-04-13 05:22:22 normalization > ) as hs_createdate, 2022-04-13 05:22:22 normalization > cast(hs_modified_by as 2022-04-13 05:22:22 normalization > float64 2022-04-13 05:22:22 normalization > ) as hs_modified_by, 2022-04-13 05:22:22 normalization > cast(hs_task_status as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_task_status, 2022-04-13 05:22:22 normalization > cast(hs_all_team_ids as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_all_team_ids, 2022-04-13 05:22:22 normalization > cast(hs_body_preview as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_body_preview, 2022-04-13 05:22:22 normalization > cast(hs_gdpr_deleted as boolean) as hs_gdpr_deleted, 2022-04-13 05:22:22 normalization > cast(hs_product_name as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_product_name, 2022-04-13 05:22:22 normalization > cast(hs_task_subject as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_task_subject, 2022-04-13 05:22:22 normalization > cast(hubspot_team_id as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hubspot_team_id, 2022-04-13 05:22:22 normalization > cast(hs_all_owner_ids as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_all_owner_ids, 2022-04-13 05:22:22 normalization > cast(hs_task_priority as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_task_priority, 2022-04-13 05:22:22 normalization > cast(hubspot_owner_id as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hubspot_owner_id, 2022-04-13 05:22:22 normalization > cast(hs_attachment_ids as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_attachment_ids, 2022-04-13 05:22:22 normalization > cast(hs_task_reminders as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_task_reminders, 2022-04-13 05:22:22 normalization > cast(hs_scheduled_tasks as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_scheduled_tasks, 2022-04-13 05:22:22 normalization > cast(hs_task_is_all_day as boolean) as hs_task_is_all_day, 2022-04-13 05:22:22 normalization > cast(hs_follow_up_action as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_follow_up_action, 2022-04-13 05:22:22 normalization > cast(nullif(hs_lastmodifieddate, '') as 2022-04-13 05:22:22 normalization > timestamp 2022-04-13 05:22:22 normalization > ) as hs_lastmodifieddate, 2022-04-13 05:22:22 normalization > cast(hs_task_template_id as 2022-04-13 05:22:22 normalization > float64 2022-04-13 05:22:22 normalization > ) as hs_task_template_id, 2022-04-13 05:22:22 normalization > cast(hs_body_preview_html as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_body_preview_html, 2022-04-13 05:22:22 normalization > cast(hs_calendar_event_id as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_calendar_event_id, 2022-04-13 05:22:22 normalization > cast(hs_engagement_source as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_engagement_source, 2022-04-13 05:22:22 normalization > cast(hs_merged_object_ids as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_merged_object_ids, 2022-04-13 05:22:22 normalization > cast(hs_created_by_user_id as 2022-04-13 05:22:22 normalization > float64 2022-04-13 05:22:22 normalization > ) as hs_created_by_user_id, 2022-04-13 05:22:22 normalization > cast(hs_msteams_message_id as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_msteams_message_id, 2022-04-13 05:22:22 normalization > cast(hs_updated_by_user_id as 2022-04-13 05:22:22 normalization > float64 2022-04-13 05:22:22 normalization > ) as hs_updated_by_user_id, 2022-04-13 05:22:22 normalization > cast(hs_unique_creation_key as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_unique_creation_key, 2022-04-13 05:22:22 normalization > cast(hs_engagement_source_id as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_engagement_source_id, 2022-04-13 05:22:22 normalization > cast(hs_num_associated_deals as 2022-04-13 05:22:22 normalization > float64 2022-04-13 05:22:22 normalization > ) as hs_num_associated_deals, 2022-04-13 05:22:22 normalization > cast(hs_queue_membership_ids as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_queue_membership_ids, 2022-04-13 05:22:22 normalization > cast(nullif(hs_task_completion_date, '') as 2022-04-13 05:22:22 normalization > timestamp 2022-04-13 05:22:22 normalization > ) as hs_task_completion_date, 2022-04-13 05:22:22 normalization > cast(hs_task_for_object_type as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_task_for_object_type, 2022-04-13 05:22:22 normalization > cast(hs_task_repeat_interval as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_task_repeat_interval, 2022-04-13 05:22:22 normalization > cast(hs_task_contact_timezone as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_task_contact_timezone, 2022-04-13 05:22:22 normalization > cast(hs_at_mentioned_owner_ids as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_at_mentioned_owner_ids, 2022-04-13 05:22:22 normalization > cast(hs_num_associated_tickets as 2022-04-13 05:22:22 normalization > float64 2022-04-13 05:22:22 normalization > ) as hs_num_associated_tickets, 2022-04-13 05:22:22 normalization > cast(hs_user_ids_of_all_owners as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_user_ids_of_all_owners, 2022-04-13 05:22:22 normalization > cast(hs_all_accessible_team_ids as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_all_accessible_team_ids, 2022-04-13 05:22:22 normalization > cast(hs_num_associated_contacts as 2022-04-13 05:22:22 normalization > float64 2022-04-13 05:22:22 normalization > ) as hs_num_associated_contacts, 2022-04-13 05:22:22 normalization > cast(hs_task_relative_reminders as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_task_relative_reminders, 2022-04-13 05:22:22 normalization > cast(nullif(hubspot_owner_assigneddate, '') as 2022-04-13 05:22:22 normalization > timestamp 2022-04-13 05:22:22 normalization > ) as hubspot_owner_assigneddate, 2022-04-13 05:22:22 normalization > cast(hs_num_associated_companies as 2022-04-13 05:22:22 normalization > float64 2022-04-13 05:22:22 normalization > ) as hs_num_associated_companies, 2022-04-13 05:22:22 normalization > cast(hs_task_sequence_step_order as 2022-04-13 05:22:22 normalization > float64 2022-04-13 05:22:22 normalization > ) as hs_task_sequence_step_order, 2022-04-13 05:22:22 normalization > cast(hs_body_preview_is_truncated as boolean) as hs_body_preview_is_truncated, 2022-04-13 05:22:22 normalization > cast(nullif(hs_task_last_contact_outreach, '') as 2022-04-13 05:22:22 normalization > timestamp 2022-04-13 05:22:22 normalization > ) as hs_task_last_contact_outreach, 2022-04-13 05:22:22 normalization > cast(hs_task_send_default_reminder as boolean) as hs_task_send_default_reminder, 2022-04-13 05:22:22 normalization > cast(hs_num_associated_queue_objects as 2022-04-13 05:22:22 normalization > float64 2022-04-13 05:22:22 normalization > ) as hs_num_associated_queue_objects, 2022-04-13 05:22:22 normalization > cast(hs_task_probability_to_complete as 2022-04-13 05:22:22 normalization > float64 2022-04-13 05:22:22 normalization > ) as hs_task_probability_to_complete, 2022-04-13 05:22:22 normalization > cast(hs_all_assigned_business_unit_ids as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_all_assigned_business_unit_ids, 2022-04-13 05:22:22 normalization > cast(hs_task_sequence_enrollment_active as boolean) as hs_task_sequence_enrollment_active, 2022-04-13 05:22:22 normalization > cast(hs_task_sequence_step_enrollment_id as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_task_sequence_step_enrollment_id, 2022-04-13 05:22:22 normalization > cast(nullif(hs_task_last_sales_activity_timestamp, '') as 2022-04-13 05:22:22 normalization > timestamp 2022-04-13 05:22:22 normalization > ) as hs_task_last_sales_activity_timestamp, 2022-04-13 05:22:22 normalization > cast(hs_user_ids_of_all_notification_followers as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_user_ids_of_all_notification_followers, 2022-04-13 05:22:22 normalization > cast(hs_user_ids_of_all_notification_unfollowers as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_user_ids_of_all_notification_unfollowers, 2022-04-13 05:22:22 normalization > _airbyte_ab_id, 2022-04-13 05:22:22 normalization > _airbyte_emitted_at, 2022-04-13 05:22:22 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:22 normalization > from __dbt__cte__engagements_tasks_properties_ab1 2022-04-13 05:22:22 normalization > -- properties at engagements_tasks/properties 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > ), __dbt__cte__engagements_tasks_properties_ab3 as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > -- SQL model to build a hash column based on the values of this record 2022-04-13 05:22:22 normalization > -- depends_on: __dbt__cte__engagements_tasks_properties_ab2 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > to_hex(md5(cast(concat(coalesce(cast(_airbyte_engagements_tasks_hashid as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_object_id as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_task_body as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_task_type as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_timestamp as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_unique_id as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_created_by as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_createdate as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_modified_by as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_task_status as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_all_team_ids as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_body_preview as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_gdpr_deleted as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_product_name as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_task_subject as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hubspot_team_id as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_all_owner_ids as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_task_priority as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hubspot_owner_id as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_attachment_ids as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_task_reminders as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_scheduled_tasks as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_task_is_all_day as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_follow_up_action as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_lastmodifieddate as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_task_template_id as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_body_preview_html as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_calendar_event_id as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_engagement_source as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_merged_object_ids as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_created_by_user_id as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_msteams_message_id as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_updated_by_user_id as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_unique_creation_key as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_engagement_source_id as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_num_associated_deals as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_queue_membership_ids as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_task_completion_date as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_task_for_object_type as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_task_repeat_interval as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_task_contact_timezone as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_at_mentioned_owner_ids as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_num_associated_tickets as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_user_ids_of_all_owners as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_all_accessible_team_ids as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_num_associated_contacts as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_task_relative_reminders as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hubspot_owner_assigneddate as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_num_associated_companies as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_task_sequence_step_order as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_body_preview_is_truncated as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_task_last_contact_outreach as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_task_send_default_reminder as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_num_associated_queue_objects as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_task_probability_to_complete as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_all_assigned_business_unit_ids as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_task_sequence_enrollment_active as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_task_sequence_step_enrollment_id as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_task_last_sales_activity_timestamp as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_user_ids_of_all_notification_followers as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_user_ids_of_all_notification_unfollowers as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), '')) as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ))) as _airbyte_properties_hashid, 2022-04-13 05:22:22 normalization > tmp.* 2022-04-13 05:22:22 normalization > from __dbt__cte__engagements_tasks_properties_ab2 tmp 2022-04-13 05:22:22 normalization > -- properties at engagements_tasks/properties 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > )-- Final base SQL model 2022-04-13 05:22:22 normalization > -- depends_on: __dbt__cte__engagements_tasks_properties_ab3 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > _airbyte_engagements_tasks_hashid, 2022-04-13 05:22:22 normalization > hs_object_id, 2022-04-13 05:22:22 normalization > hs_task_body, 2022-04-13 05:22:22 normalization > hs_task_type, 2022-04-13 05:22:22 normalization > hs_timestamp, 2022-04-13 05:22:22 normalization > hs_unique_id, 2022-04-13 05:22:22 normalization > hs_created_by, 2022-04-13 05:22:22 normalization > hs_createdate, 2022-04-13 05:22:22 normalization > hs_modified_by, 2022-04-13 05:22:22 normalization > hs_task_status, 2022-04-13 05:22:22 normalization > hs_all_team_ids, 2022-04-13 05:22:22 normalization > hs_body_preview, 2022-04-13 05:22:22 normalization > hs_gdpr_deleted, 2022-04-13 05:22:22 normalization > hs_product_name, 2022-04-13 05:22:22 normalization > hs_task_subject, 2022-04-13 05:22:22 normalization > hubspot_team_id, 2022-04-13 05:22:22 normalization > hs_all_owner_ids, 2022-04-13 05:22:22 normalization > hs_task_priority, 2022-04-13 05:22:22 normalization > hubspot_owner_id, 2022-04-13 05:22:22 normalization > hs_attachment_ids, 2022-04-13 05:22:22 normalization > hs_task_reminders, 2022-04-13 05:22:22 normalization > hs_scheduled_tasks, 2022-04-13 05:22:22 normalization > hs_task_is_all_day, 2022-04-13 05:22:22 normalization > hs_follow_up_action, 2022-04-13 05:22:22 normalization > hs_lastmodifieddate, 2022-04-13 05:22:22 normalization > hs_task_template_id, 2022-04-13 05:22:22 normalization > hs_body_preview_html, 2022-04-13 05:22:22 normalization > hs_calendar_event_id, 2022-04-13 05:22:22 normalization > hs_engagement_source, 2022-04-13 05:22:22 normalization > hs_merged_object_ids, 2022-04-13 05:22:22 normalization > hs_created_by_user_id, 2022-04-13 05:22:22 normalization > hs_msteams_message_id, 2022-04-13 05:22:22 normalization > hs_updated_by_user_id, 2022-04-13 05:22:22 normalization > hs_unique_creation_key, 2022-04-13 05:22:22 normalization > hs_engagement_source_id, 2022-04-13 05:22:22 normalization > hs_num_associated_deals, 2022-04-13 05:22:22 normalization > hs_queue_membership_ids, 2022-04-13 05:22:22 normalization > hs_task_completion_date, 2022-04-13 05:22:22 normalization > hs_task_for_object_type, 2022-04-13 05:22:22 normalization > hs_task_repeat_interval, 2022-04-13 05:22:22 normalization > hs_task_contact_timezone, 2022-04-13 05:22:22 normalization > hs_at_mentioned_owner_ids, 2022-04-13 05:22:22 normalization > hs_num_associated_tickets, 2022-04-13 05:22:22 normalization > hs_user_ids_of_all_owners, 2022-04-13 05:22:22 normalization > hs_all_accessible_team_ids, 2022-04-13 05:22:22 normalization > hs_num_associated_contacts, 2022-04-13 05:22:22 normalization > hs_task_relative_reminders, 2022-04-13 05:22:22 normalization > hubspot_owner_assigneddate, 2022-04-13 05:22:22 normalization > hs_num_associated_companies, 2022-04-13 05:22:22 normalization > hs_task_sequence_step_order, 2022-04-13 05:22:22 normalization > hs_body_preview_is_truncated, 2022-04-13 05:22:22 normalization > hs_task_last_contact_outreach, 2022-04-13 05:22:22 normalization > hs_task_send_default_reminder, 2022-04-13 05:22:22 normalization > hs_num_associated_queue_objects, 2022-04-13 05:22:22 normalization > hs_task_probability_to_complete, 2022-04-13 05:22:22 normalization > hs_all_assigned_business_unit_ids, 2022-04-13 05:22:22 normalization > hs_task_sequence_enrollment_active, 2022-04-13 05:22:22 normalization > hs_task_sequence_step_enrollment_id, 2022-04-13 05:22:22 normalization > hs_task_last_sales_activity_timestamp, 2022-04-13 05:22:22 normalization > hs_user_ids_of_all_notification_followers, 2022-04-13 05:22:22 normalization > hs_user_ids_of_all_notification_unfollowers, 2022-04-13 05:22:22 normalization > _airbyte_ab_id, 2022-04-13 05:22:22 normalization > _airbyte_emitted_at, 2022-04-13 05:22:22 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at, 2022-04-13 05:22:22 normalization > _airbyte_properties_hashid 2022-04-13 05:22:22 normalization > from __dbt__cte__engagements_tasks_properties_ab3 2022-04-13 05:22:22 normalization > -- properties at engagements_tasks/properties from `mansagroup-datascience`.hubspot_.`engagements_tasks` 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > and coalesce( 2022-04-13 05:22:22 normalization > cast(_airbyte_emitted_at as 2022-04-13 05:22:22 normalization > timestamp 2022-04-13 05:22:22 normalization > ) >= (select max(cast(_airbyte_emitted_at as 2022-04-13 05:22:22 normalization > timestamp 2022-04-13 05:22:22 normalization > )) from `mansagroup-datascience`.hubspot_.`engagements_tasks_properties`), 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > true) 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > ); 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 05:04:30.206624 [debug] [Thread-6 ]: Writing injected SQL for node "model.airbyte_utils.email_events_sentBy_ab3" 2022-04-13 05:22:22 normalization > 05:04:30.207045 [debug] [Thread-6 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:04:30.207553 [debug] [Thread-6 ]: Finished running node model.airbyte_utils.email_events_sentBy_ab3 2022-04-13 05:22:22 normalization > 05:04:30.207798 [debug] [Thread-6 ]: Began running node model.airbyte_utils.engagements_notes_properties 2022-04-13 05:22:22 normalization > 05:04:30.208261 [info ] [Thread-6 ]: 60 of 77 START incremental model hubspot_.engagements_notes_properties.................................................. [RUN] 2022-04-13 05:22:22 normalization > 05:04:30.208966 [debug] [Thread-6 ]: Acquiring new bigquery connection "model.airbyte_utils.engagements_notes_properties" 2022-04-13 05:22:22 normalization > 05:04:30.209152 [debug] [Thread-6 ]: Began compiling node model.airbyte_utils.engagements_notes_properties 2022-04-13 05:22:22 normalization > 05:04:30.209334 [debug] [Thread-6 ]: Compiling model.airbyte_utils.engagements_notes_properties 2022-04-13 05:22:22 normalization > 05:04:30.217098 [debug] [Thread-6 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:22 normalization > 05:04:30.326560 [debug] [Thread-6 ]: Writing injected SQL for node "model.airbyte_utils.engagements_notes_properties" 2022-04-13 05:22:22 normalization > 05:04:30.326914 [debug] [Thread-6 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:04:30.327091 [debug] [Thread-6 ]: Began executing node model.airbyte_utils.engagements_notes_properties 2022-04-13 05:22:22 normalization > 05:04:30.383085 [debug] [Thread-6 ]: On model.airbyte_utils.engagements_notes_properties: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.engagements_notes_properties"} */ 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > create or replace table `mansagroup-datascience`.hubspot_.`engagements_notes_properties__dbt_tmp` 2022-04-13 05:22:22 normalization > partition by timestamp_trunc(_airbyte_emitted_at, day) 2022-04-13 05:22:22 normalization > cluster by _airbyte_emitted_at 2022-04-13 05:22:22 normalization > OPTIONS( 2022-04-13 05:22:22 normalization > expiration_timestamp=TIMESTAMP_ADD(CURRENT_TIMESTAMP(), INTERVAL 12 hour) 2022-04-13 05:22:22 normalization > ) 2022-04-13 05:22:22 normalization > as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > with __dbt__cte__engagements_notes_properties_ab1 as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema 2022-04-13 05:22:22 normalization > -- depends_on: `mansagroup-datascience`.hubspot_.`engagements_notes` 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > _airbyte_engagements_notes_hashid, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_note_body']") as hs_note_body, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_object_id']") as hs_object_id, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_timestamp']") as hs_timestamp, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_unique_id']") as hs_unique_id, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_created_by']") as hs_created_by, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_createdate']") as hs_createdate, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_modified_by']") as hs_modified_by, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_all_team_ids']") as hs_all_team_ids, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_body_preview']") as hs_body_preview, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_gdpr_deleted']") as hs_gdpr_deleted, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_product_name']") as hs_product_name, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hubspot_team_id']") as hubspot_team_id, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_all_owner_ids']") as hs_all_owner_ids, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hubspot_owner_id']") as hubspot_owner_id, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_attachment_ids']") as hs_attachment_ids, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_follow_up_action']") as hs_follow_up_action, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_lastmodifieddate']") as hs_lastmodifieddate, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_body_preview_html']") as hs_body_preview_html, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_engagement_source']") as hs_engagement_source, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_merged_object_ids']") as hs_merged_object_ids, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_created_by_user_id']") as hs_created_by_user_id, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_updated_by_user_id']") as hs_updated_by_user_id, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_unique_creation_key']") as hs_unique_creation_key, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_engagement_source_id']") as hs_engagement_source_id, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_queue_membership_ids']") as hs_queue_membership_ids, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_at_mentioned_owner_ids']") as hs_at_mentioned_owner_ids, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_user_ids_of_all_owners']") as hs_user_ids_of_all_owners, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_all_accessible_team_ids']") as hs_all_accessible_team_ids, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hubspot_owner_assigneddate']") as hubspot_owner_assigneddate, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_body_preview_is_truncated']") as hs_body_preview_is_truncated, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_all_assigned_business_unit_ids']") as hs_all_assigned_business_unit_ids, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_user_ids_of_all_notification_followers']") as hs_user_ids_of_all_notification_followers, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_user_ids_of_all_notification_unfollowers']") as hs_user_ids_of_all_notification_unfollowers, 2022-04-13 05:22:22 normalization > _airbyte_ab_id, 2022-04-13 05:22:22 normalization > _airbyte_emitted_at, 2022-04-13 05:22:22 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:22 normalization > from `mansagroup-datascience`.hubspot_.`engagements_notes` as table_alias 2022-04-13 05:22:22 normalization > -- properties at engagements_notes/properties 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > and properties is not null 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > ), __dbt__cte__engagements_notes_properties_ab2 as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type 2022-04-13 05:22:22 normalization > -- depends_on: __dbt__cte__engagements_notes_properties_ab1 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > _airbyte_engagements_notes_hashid, 2022-04-13 05:22:22 normalization > cast(hs_note_body as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_note_body, 2022-04-13 05:22:22 normalization > cast(hs_object_id as 2022-04-13 05:22:22 normalization > float64 2022-04-13 05:22:22 normalization > ) as hs_object_id, 2022-04-13 05:22:22 normalization > cast(nullif(hs_timestamp, '') as 2022-04-13 05:22:22 normalization > timestamp 2022-04-13 05:22:22 normalization > ) as hs_timestamp, 2022-04-13 05:22:22 normalization > cast(hs_unique_id as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_unique_id, 2022-04-13 05:22:22 normalization > cast(hs_created_by as 2022-04-13 05:22:22 normalization > float64 2022-04-13 05:22:22 normalization > ) as hs_created_by, 2022-04-13 05:22:22 normalization > cast(nullif(hs_createdate, '') as 2022-04-13 05:22:22 normalization > timestamp 2022-04-13 05:22:22 normalization > ) as hs_createdate, 2022-04-13 05:22:22 normalization > cast(hs_modified_by as 2022-04-13 05:22:22 normalization > float64 2022-04-13 05:22:22 normalization > ) as hs_modified_by, 2022-04-13 05:22:22 normalization > cast(hs_all_team_ids as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_all_team_ids, 2022-04-13 05:22:22 normalization > cast(hs_body_preview as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_body_preview, 2022-04-13 05:22:22 normalization > cast(hs_gdpr_deleted as boolean) as hs_gdpr_deleted, 2022-04-13 05:22:22 normalization > cast(hs_product_name as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_product_name, 2022-04-13 05:22:22 normalization > cast(hubspot_team_id as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hubspot_team_id, 2022-04-13 05:22:22 normalization > cast(hs_all_owner_ids as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_all_owner_ids, 2022-04-13 05:22:22 normalization > cast(hubspot_owner_id as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hubspot_owner_id, 2022-04-13 05:22:22 normalization > cast(hs_attachment_ids as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_attachment_ids, 2022-04-13 05:22:22 normalization > cast(hs_follow_up_action as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_follow_up_action, 2022-04-13 05:22:22 normalization > cast(nullif(hs_lastmodifieddate, '') as 2022-04-13 05:22:22 normalization > timestamp 2022-04-13 05:22:22 normalization > ) as hs_lastmodifieddate, 2022-04-13 05:22:22 normalization > cast(hs_body_preview_html as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_body_preview_html, 2022-04-13 05:22:22 normalization > cast(hs_engagement_source as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_engagement_source, 2022-04-13 05:22:22 normalization > cast(hs_merged_object_ids as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_merged_object_ids, 2022-04-13 05:22:22 normalization > cast(hs_created_by_user_id as 2022-04-13 05:22:22 normalization > float64 2022-04-13 05:22:22 normalization > ) as hs_created_by_user_id, 2022-04-13 05:22:22 normalization > cast(hs_updated_by_user_id as 2022-04-13 05:22:22 normalization > float64 2022-04-13 05:22:22 normalization > ) as hs_updated_by_user_id, 2022-04-13 05:22:22 normalization > cast(hs_unique_creation_key as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_unique_creation_key, 2022-04-13 05:22:22 normalization > cast(hs_engagement_source_id as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_engagement_source_id, 2022-04-13 05:22:22 normalization > cast(hs_queue_membership_ids as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_queue_membership_ids, 2022-04-13 05:22:22 normalization > cast(hs_at_mentioned_owner_ids as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_at_mentioned_owner_ids, 2022-04-13 05:22:22 normalization > cast(hs_user_ids_of_all_owners as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_user_ids_of_all_owners, 2022-04-13 05:22:22 normalization > cast(hs_all_accessible_team_ids as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_all_accessible_team_ids, 2022-04-13 05:22:22 normalization > cast(nullif(hubspot_owner_assigneddate, '') as 2022-04-13 05:22:22 normalization > timestamp 2022-04-13 05:22:22 normalization > ) as hubspot_owner_assigneddate, 2022-04-13 05:22:22 normalization > cast(hs_body_preview_is_truncated as boolean) as hs_body_preview_is_truncated, 2022-04-13 05:22:22 normalization > cast(hs_all_assigned_business_unit_ids as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_all_assigned_business_unit_ids, 2022-04-13 05:22:22 normalization > cast(hs_user_ids_of_all_notification_followers as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_user_ids_of_all_notification_followers, 2022-04-13 05:22:22 normalization > cast(hs_user_ids_of_all_notification_unfollowers as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_user_ids_of_all_notification_unfollowers, 2022-04-13 05:22:22 normalization > _airbyte_ab_id, 2022-04-13 05:22:22 normalization > _airbyte_emitted_at, 2022-04-13 05:22:22 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:22 normalization > from __dbt__cte__engagements_notes_properties_ab1 2022-04-13 05:22:22 normalization > -- properties at engagements_notes/properties 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > ), __dbt__cte__engagements_notes_properties_ab3 as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > -- SQL model to build a hash column based on the values of this record 2022-04-13 05:22:22 normalization > -- depends_on: __dbt__cte__engagements_notes_properties_ab2 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > to_hex(md5(cast(concat(coalesce(cast(_airbyte_engagements_notes_hashid as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_note_body as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_object_id as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_timestamp as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_unique_id as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_created_by as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_createdate as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_modified_by as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_all_team_ids as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_body_preview as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_gdpr_deleted as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_product_name as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hubspot_team_id as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_all_owner_ids as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hubspot_owner_id as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_attachment_ids as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_follow_up_action as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_lastmodifieddate as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_body_preview_html as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_engagement_source as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_merged_object_ids as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_created_by_user_id as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_updated_by_user_id as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_unique_creation_key as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_engagement_source_id as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_queue_membership_ids as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_at_mentioned_owner_ids as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_user_ids_of_all_owners as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_all_accessible_team_ids as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hubspot_owner_assigneddate as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_body_preview_is_truncated as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_all_assigned_business_unit_ids as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_user_ids_of_all_notification_followers as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_user_ids_of_all_notification_unfollowers as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), '')) as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ))) as _airbyte_properties_hashid, 2022-04-13 05:22:22 normalization > tmp.* 2022-04-13 05:22:22 normalization > from __dbt__cte__engagements_notes_properties_ab2 tmp 2022-04-13 05:22:22 normalization > -- properties at engagements_notes/properties 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > )-- Final base SQL model 2022-04-13 05:22:22 normalization > -- depends_on: __dbt__cte__engagements_notes_properties_ab3 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > _airbyte_engagements_notes_hashid, 2022-04-13 05:22:22 normalization > hs_note_body, 2022-04-13 05:22:22 normalization > hs_object_id, 2022-04-13 05:22:22 normalization > hs_timestamp, 2022-04-13 05:22:22 normalization > hs_unique_id, 2022-04-13 05:22:22 normalization > hs_created_by, 2022-04-13 05:22:22 normalization > hs_createdate, 2022-04-13 05:22:22 normalization > hs_modified_by, 2022-04-13 05:22:22 normalization > hs_all_team_ids, 2022-04-13 05:22:22 normalization > hs_body_preview, 2022-04-13 05:22:22 normalization > hs_gdpr_deleted, 2022-04-13 05:22:22 normalization > hs_product_name, 2022-04-13 05:22:22 normalization > hubspot_team_id, 2022-04-13 05:22:22 normalization > hs_all_owner_ids, 2022-04-13 05:22:22 normalization > hubspot_owner_id, 2022-04-13 05:22:22 normalization > hs_attachment_ids, 2022-04-13 05:22:22 normalization > hs_follow_up_action, 2022-04-13 05:22:22 normalization > hs_lastmodifieddate, 2022-04-13 05:22:22 normalization > hs_body_preview_html, 2022-04-13 05:22:22 normalization > hs_engagement_source, 2022-04-13 05:22:22 normalization > hs_merged_object_ids, 2022-04-13 05:22:22 normalization > hs_created_by_user_id, 2022-04-13 05:22:22 normalization > hs_updated_by_user_id, 2022-04-13 05:22:22 normalization > hs_unique_creation_key, 2022-04-13 05:22:22 normalization > hs_engagement_source_id, 2022-04-13 05:22:22 normalization > hs_queue_membership_ids, 2022-04-13 05:22:22 normalization > hs_at_mentioned_owner_ids, 2022-04-13 05:22:22 normalization > hs_user_ids_of_all_owners, 2022-04-13 05:22:22 normalization > hs_all_accessible_team_ids, 2022-04-13 05:22:22 normalization > hubspot_owner_assigneddate, 2022-04-13 05:22:22 normalization > hs_body_preview_is_truncated, 2022-04-13 05:22:22 normalization > hs_all_assigned_business_unit_ids, 2022-04-13 05:22:22 normalization > hs_user_ids_of_all_notification_followers, 2022-04-13 05:22:22 normalization > hs_user_ids_of_all_notification_unfollowers, 2022-04-13 05:22:22 normalization > _airbyte_ab_id, 2022-04-13 05:22:22 normalization > _airbyte_emitted_at, 2022-04-13 05:22:22 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at, 2022-04-13 05:22:22 normalization > _airbyte_properties_hashid 2022-04-13 05:22:22 normalization > from __dbt__cte__engagements_notes_properties_ab3 2022-04-13 05:22:22 normalization > -- properties at engagements_notes/properties from `mansagroup-datascience`.hubspot_.`engagements_notes` 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > and coalesce( 2022-04-13 05:22:22 normalization > cast(_airbyte_emitted_at as 2022-04-13 05:22:22 normalization > timestamp 2022-04-13 05:22:22 normalization > ) >= (select max(cast(_airbyte_emitted_at as 2022-04-13 05:22:22 normalization > timestamp 2022-04-13 05:22:22 normalization > )) from `mansagroup-datascience`.hubspot_.`engagements_notes_properties`), 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > true) 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > ); 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 05:04:31.228160 [debug] [Thread-8 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:04:31.228820 [info ] [Thread-8 ]: 58 of 77 OK created table model hubspot_.marketing_emails_stats_ratios.................................................. [CREATE TABLE (35.0 rows, 12.4 KB processed) in 2.59s] 2022-04-13 05:22:22 normalization > 05:04:31.229260 [debug] [Thread-8 ]: Finished running node model.airbyte_utils.marketing_emails_stats_ratios 2022-04-13 05:22:22 normalization > 05:04:31.229468 [debug] [Thread-8 ]: Began running node model.airbyte_utils.engagements_emails_properties 2022-04-13 05:22:22 normalization > 05:04:31.229881 [info ] [Thread-8 ]: 61 of 77 START incremental model hubspot_.engagements_emails_properties................................................. [RUN] 2022-04-13 05:22:22 normalization > 05:04:31.230389 [debug] [Thread-8 ]: Acquiring new bigquery connection "model.airbyte_utils.engagements_emails_properties" 2022-04-13 05:22:22 normalization > 05:04:31.230568 [debug] [Thread-8 ]: Began compiling node model.airbyte_utils.engagements_emails_properties 2022-04-13 05:22:22 normalization > 05:04:31.230742 [debug] [Thread-8 ]: Compiling model.airbyte_utils.engagements_emails_properties 2022-04-13 05:22:22 normalization > 05:04:31.242958 [debug] [Thread-8 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:22 normalization > 05:04:31.371126 [debug] [Thread-8 ]: Writing injected SQL for node "model.airbyte_utils.engagements_emails_properties" 2022-04-13 05:22:22 normalization > 05:04:31.371520 [debug] [Thread-8 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:04:31.371696 [debug] [Thread-8 ]: Began executing node model.airbyte_utils.engagements_emails_properties 2022-04-13 05:22:22 normalization > 05:04:31.432286 [debug] [Thread-8 ]: On model.airbyte_utils.engagements_emails_properties: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.engagements_emails_properties"} */ 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > create or replace table `mansagroup-datascience`.hubspot_.`engagements_emails_properties__dbt_tmp` 2022-04-13 05:22:22 normalization > partition by timestamp_trunc(_airbyte_emitted_at, day) 2022-04-13 05:22:22 normalization > cluster by _airbyte_emitted_at 2022-04-13 05:22:22 normalization > OPTIONS( 2022-04-13 05:22:22 normalization > expiration_timestamp=TIMESTAMP_ADD(CURRENT_TIMESTAMP(), INTERVAL 12 hour) 2022-04-13 05:22:22 normalization > ) 2022-04-13 05:22:22 normalization > as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > with __dbt__cte__engagements_emails_properties_ab1 as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema 2022-04-13 05:22:22 normalization > -- depends_on: `mansagroup-datascience`.hubspot_.`engagements_emails` 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > _airbyte_engagements_emails_hashid, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_object_id']") as hs_object_id, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_timestamp']") as hs_timestamp, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_unique_id']") as hs_unique_id, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_created_by']") as hs_created_by, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_createdate']") as hs_createdate, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_email_html']") as hs_email_html, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_email_text']") as hs_email_text, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_modified_by']") as hs_modified_by, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_all_team_ids']") as hs_all_team_ids, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_body_preview']") as hs_body_preview, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_email_cc_raw']") as hs_email_cc_raw, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_email_status']") as hs_email_status, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_email_to_raw']") as hs_email_to_raw, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_gdpr_deleted']") as hs_gdpr_deleted, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_product_name']") as hs_product_name, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hubspot_team_id']") as hubspot_team_id, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_all_owner_ids']") as hs_all_owner_ids, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_email_bcc_raw']") as hs_email_bcc_raw, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_email_headers']") as hs_email_headers, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_email_subject']") as hs_email_subject, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hubspot_owner_id']") as hubspot_owner_id, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_attachment_ids']") as hs_attachment_ids, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_email_cc_email']") as hs_email_cc_email, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_email_from_raw']") as hs_email_from_raw, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_email_sent_via']") as hs_email_sent_via, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_email_to_email']") as hs_email_to_email, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_email_bcc_email']") as hs_email_bcc_email, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_email_direction']") as hs_email_direction, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_email_thread_id']") as hs_email_thread_id, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_email_from_email']") as hs_email_from_email, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_email_message_id']") as hs_email_message_id, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_email_sender_raw']") as hs_email_sender_raw, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_follow_up_action']") as hs_follow_up_action, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_lastmodifieddate']") as hs_lastmodifieddate, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_body_preview_html']") as hs_body_preview_html, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_email_cc_lastname']") as hs_email_cc_lastname, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_email_logged_from']") as hs_email_logged_from, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_email_to_lastname']") as hs_email_to_lastname, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_email_tracker_key']") as hs_email_tracker_key, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_engagement_source']") as hs_engagement_source, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_merged_object_ids']") as hs_merged_object_ids, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_created_by_user_id']") as hs_created_by_user_id, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_email_bcc_lastname']") as hs_email_bcc_lastname, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_email_cc_firstname']") as hs_email_cc_firstname, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_email_sender_email']") as hs_email_sender_email, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_email_to_firstname']") as hs_email_to_firstname, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_updated_by_user_id']") as hs_updated_by_user_id, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_email_bcc_firstname']") as hs_email_bcc_firstname, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_email_error_message']") as hs_email_error_message, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_email_from_lastname']") as hs_email_from_lastname, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_email_send_event_id']") as hs_email_send_event_id, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_unique_creation_key']") as hs_unique_creation_key, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_email_from_firstname']") as hs_email_from_firstname, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_engagement_source_id']") as hs_engagement_source_id, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_queue_membership_ids']") as hs_queue_membership_ids, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_email_sender_lastname']") as hs_email_sender_lastname, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_at_mentioned_owner_ids']") as hs_at_mentioned_owner_ids, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_email_post_send_status']") as hs_email_post_send_status, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_email_sender_firstname']") as hs_email_sender_firstname, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_user_ids_of_all_owners']") as hs_user_ids_of_all_owners, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_all_accessible_team_ids']") as hs_all_accessible_team_ids, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_direction_and_unique_id']") as hs_direction_and_unique_id, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_email_attached_video_id']") as hs_email_attached_video_id, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_email_facsimile_send_id']") as hs_email_facsimile_send_id, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hubspot_owner_assigneddate']") as hubspot_owner_assigneddate, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_email_validation_skipped']") as hs_email_validation_skipped, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_body_preview_is_truncated']") as hs_body_preview_is_truncated, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_email_attached_video_name']") as hs_email_attached_video_name, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_email_attached_video_opened']") as hs_email_attached_video_opened, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_email_send_event_id_created']") as hs_email_send_event_id_created, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_email_attached_video_watched']") as hs_email_attached_video_watched, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_email_recipient_drop_reasons']") as hs_email_recipient_drop_reasons, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_email_media_processing_status']") as hs_email_media_processing_status, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_all_assigned_business_unit_ids']") as hs_all_assigned_business_unit_ids, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_email_pending_inline_image_ids']") as hs_email_pending_inline_image_ids, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_email_member_of_forwarded_subthread']") as hs_email_member_of_forwarded_subthread, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_user_ids_of_all_notification_followers']") as hs_user_ids_of_all_notification_followers, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_email_encoded_email_associations_request']") as hs_email_encoded_email_associations_request, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_email_migrated_via_portal_data_migration']") as hs_email_migrated_via_portal_data_migration, 2022-04-13 05:22:22 normalization > json_extract_scalar(properties, "$['hs_user_ids_of_all_notification_unfollowers']") as hs_user_ids_of_all_notification_unfollowers, 2022-04-13 05:22:22 normalization > _airbyte_ab_id, 2022-04-13 05:22:22 normalization > _airbyte_emitted_at, 2022-04-13 05:22:22 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:22 normalization > from `mansagroup-datascience`.hubspot_.`engagements_emails` as table_alias 2022-04-13 05:22:22 normalization > -- properties at engagements_emails/properties 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > and properties is not null 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > ), __dbt__cte__engagements_emails_properties_ab2 as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type 2022-04-13 05:22:22 normalization > -- depends_on: __dbt__cte__engagements_emails_properties_ab1 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > _airbyte_engagements_emails_hashid, 2022-04-13 05:22:22 normalization > cast(hs_object_id as 2022-04-13 05:22:22 normalization > float64 2022-04-13 05:22:22 normalization > ) as hs_object_id, 2022-04-13 05:22:22 normalization > cast(nullif(hs_timestamp, '') as 2022-04-13 05:22:22 normalization > timestamp 2022-04-13 05:22:22 normalization > ) as hs_timestamp, 2022-04-13 05:22:22 normalization > cast(hs_unique_id as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_unique_id, 2022-04-13 05:22:22 normalization > cast(hs_created_by as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_created_by, 2022-04-13 05:22:22 normalization > cast(nullif(hs_createdate, '') as 2022-04-13 05:22:22 normalization > timestamp 2022-04-13 05:22:22 normalization > ) as hs_createdate, 2022-04-13 05:22:22 normalization > cast(hs_email_html as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_email_html, 2022-04-13 05:22:22 normalization > cast(hs_email_text as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_email_text, 2022-04-13 05:22:22 normalization > cast(hs_modified_by as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_modified_by, 2022-04-13 05:22:22 normalization > cast(hs_all_team_ids as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_all_team_ids, 2022-04-13 05:22:22 normalization > cast(hs_body_preview as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_body_preview, 2022-04-13 05:22:22 normalization > cast(hs_email_cc_raw as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_email_cc_raw, 2022-04-13 05:22:22 normalization > cast(hs_email_status as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_email_status, 2022-04-13 05:22:22 normalization > cast(hs_email_to_raw as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_email_to_raw, 2022-04-13 05:22:22 normalization > cast(hs_gdpr_deleted as boolean) as hs_gdpr_deleted, 2022-04-13 05:22:22 normalization > cast(hs_product_name as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_product_name, 2022-04-13 05:22:22 normalization > cast(hubspot_team_id as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hubspot_team_id, 2022-04-13 05:22:22 normalization > cast(hs_all_owner_ids as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_all_owner_ids, 2022-04-13 05:22:22 normalization > cast(hs_email_bcc_raw as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_email_bcc_raw, 2022-04-13 05:22:22 normalization > cast(hs_email_headers as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_email_headers, 2022-04-13 05:22:22 normalization > cast(hs_email_subject as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_email_subject, 2022-04-13 05:22:22 normalization > cast(hubspot_owner_id as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hubspot_owner_id, 2022-04-13 05:22:22 normalization > cast(hs_attachment_ids as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_attachment_ids, 2022-04-13 05:22:22 normalization > cast(hs_email_cc_email as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_email_cc_email, 2022-04-13 05:22:22 normalization > cast(hs_email_from_raw as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_email_from_raw, 2022-04-13 05:22:22 normalization > cast(hs_email_sent_via as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_email_sent_via, 2022-04-13 05:22:22 normalization > cast(hs_email_to_email as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_email_to_email, 2022-04-13 05:22:22 normalization > cast(hs_email_bcc_email as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_email_bcc_email, 2022-04-13 05:22:22 normalization > cast(hs_email_direction as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_email_direction, 2022-04-13 05:22:22 normalization > cast(hs_email_thread_id as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_email_thread_id, 2022-04-13 05:22:22 normalization > cast(hs_email_from_email as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_email_from_email, 2022-04-13 05:22:22 normalization > cast(hs_email_message_id as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_email_message_id, 2022-04-13 05:22:22 normalization > cast(hs_email_sender_raw as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_email_sender_raw, 2022-04-13 05:22:22 normalization > cast(hs_follow_up_action as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_follow_up_action, 2022-04-13 05:22:22 normalization > cast(nullif(hs_lastmodifieddate, '') as 2022-04-13 05:22:22 normalization > timestamp 2022-04-13 05:22:22 normalization > ) as hs_lastmodifieddate, 2022-04-13 05:22:22 normalization > cast(hs_body_preview_html as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_body_preview_html, 2022-04-13 05:22:22 normalization > cast(hs_email_cc_lastname as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_email_cc_lastname, 2022-04-13 05:22:22 normalization > cast(hs_email_logged_from as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_email_logged_from, 2022-04-13 05:22:22 normalization > cast(hs_email_to_lastname as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_email_to_lastname, 2022-04-13 05:22:22 normalization > cast(hs_email_tracker_key as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_email_tracker_key, 2022-04-13 05:22:22 normalization > cast(hs_engagement_source as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_engagement_source, 2022-04-13 05:22:22 normalization > cast(hs_merged_object_ids as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_merged_object_ids, 2022-04-13 05:22:22 normalization > cast(hs_created_by_user_id as 2022-04-13 05:22:22 normalization > float64 2022-04-13 05:22:22 normalization > ) as hs_created_by_user_id, 2022-04-13 05:22:22 normalization > cast(hs_email_bcc_lastname as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_email_bcc_lastname, 2022-04-13 05:22:22 normalization > cast(hs_email_cc_firstname as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_email_cc_firstname, 2022-04-13 05:22:22 normalization > cast(hs_email_sender_email as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_email_sender_email, 2022-04-13 05:22:22 normalization > cast(hs_email_to_firstname as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_email_to_firstname, 2022-04-13 05:22:22 normalization > cast(hs_updated_by_user_id as 2022-04-13 05:22:22 normalization > float64 2022-04-13 05:22:22 normalization > ) as hs_updated_by_user_id, 2022-04-13 05:22:22 normalization > cast(hs_email_bcc_firstname as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_email_bcc_firstname, 2022-04-13 05:22:22 normalization > cast(hs_email_error_message as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_email_error_message, 2022-04-13 05:22:22 normalization > cast(hs_email_from_lastname as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_email_from_lastname, 2022-04-13 05:22:22 normalization > cast(hs_email_send_event_id as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_email_send_event_id, 2022-04-13 05:22:22 normalization > cast(hs_unique_creation_key as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_unique_creation_key, 2022-04-13 05:22:22 normalization > cast(hs_email_from_firstname as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_email_from_firstname, 2022-04-13 05:22:22 normalization > cast(hs_engagement_source_id as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_engagement_source_id, 2022-04-13 05:22:22 normalization > cast(hs_queue_membership_ids as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_queue_membership_ids, 2022-04-13 05:22:22 normalization > cast(hs_email_sender_lastname as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_email_sender_lastname, 2022-04-13 05:22:22 normalization > cast(hs_at_mentioned_owner_ids as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_at_mentioned_owner_ids, 2022-04-13 05:22:22 normalization > cast(hs_email_post_send_status as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_email_post_send_status, 2022-04-13 05:22:22 normalization > cast(hs_email_sender_firstname as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_email_sender_firstname, 2022-04-13 05:22:22 normalization > cast(hs_user_ids_of_all_owners as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_user_ids_of_all_owners, 2022-04-13 05:22:22 normalization > cast(hs_all_accessible_team_ids as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_all_accessible_team_ids, 2022-04-13 05:22:22 normalization > cast(hs_direction_and_unique_id as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_direction_and_unique_id, 2022-04-13 05:22:22 normalization > cast(hs_email_attached_video_id as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_email_attached_video_id, 2022-04-13 05:22:22 normalization > cast(hs_email_facsimile_send_id as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_email_facsimile_send_id, 2022-04-13 05:22:22 normalization > cast(nullif(hubspot_owner_assigneddate, '') as 2022-04-13 05:22:22 normalization > timestamp 2022-04-13 05:22:22 normalization > ) as hubspot_owner_assigneddate, 2022-04-13 05:22:22 normalization > cast(hs_email_validation_skipped as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_email_validation_skipped, 2022-04-13 05:22:22 normalization > cast(hs_body_preview_is_truncated as boolean) as hs_body_preview_is_truncated, 2022-04-13 05:22:22 normalization > cast(hs_email_attached_video_name as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_email_attached_video_name, 2022-04-13 05:22:22 normalization > cast(hs_email_attached_video_opened as boolean) as hs_email_attached_video_opened, 2022-04-13 05:22:22 normalization > cast(nullif(hs_email_send_event_id_created, '') as 2022-04-13 05:22:22 normalization > timestamp 2022-04-13 05:22:22 normalization > ) as hs_email_send_event_id_created, 2022-04-13 05:22:22 normalization > cast(hs_email_attached_video_watched as boolean) as hs_email_attached_video_watched, 2022-04-13 05:22:22 normalization > cast(hs_email_recipient_drop_reasons as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_email_recipient_drop_reasons, 2022-04-13 05:22:22 normalization > cast(hs_email_media_processing_status as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_email_media_processing_status, 2022-04-13 05:22:22 normalization > cast(hs_all_assigned_business_unit_ids as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_all_assigned_business_unit_ids, 2022-04-13 05:22:22 normalization > cast(hs_email_pending_inline_image_ids as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_email_pending_inline_image_ids, 2022-04-13 05:22:22 normalization > cast(hs_email_member_of_forwarded_subthread as boolean) as hs_email_member_of_forwarded_subthread, 2022-04-13 05:22:22 normalization > cast(hs_user_ids_of_all_notification_followers as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_user_ids_of_all_notification_followers, 2022-04-13 05:22:22 normalization > cast(hs_email_encoded_email_associations_request as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_email_encoded_email_associations_request, 2022-04-13 05:22:22 normalization > cast(hs_email_migrated_via_portal_data_migration as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_email_migrated_via_portal_data_migration, 2022-04-13 05:22:22 normalization > cast(hs_user_ids_of_all_notification_unfollowers as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as hs_user_ids_of_all_notification_unfollowers, 2022-04-13 05:22:22 normalization > _airbyte_ab_id, 2022-04-13 05:22:22 normalization > _airbyte_emitted_at, 2022-04-13 05:22:22 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:22 normalization > from __dbt__cte__engagements_emails_properties_ab1 2022-04-13 05:22:22 normalization > -- properties at engagements_emails/properties 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > ), __dbt__cte__engagements_emails_properties_ab3 as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > -- SQL model to build a hash column based on the values of this record 2022-04-13 05:22:22 normalization > -- depends_on: __dbt__cte__engagements_emails_properties_ab2 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > to_hex(md5(cast(concat(coalesce(cast(_airbyte_engagements_emails_hashid as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_object_id as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_timestamp as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_unique_id as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_created_by as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_createdate as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_email_html as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_email_text as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_modified_by as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_all_team_ids as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_body_preview as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_email_cc_raw as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_email_status as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_email_to_raw as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_gdpr_deleted as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_product_name as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hubspot_team_id as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_all_owner_ids as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_email_bcc_raw as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_email_headers as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_email_subject as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hubspot_owner_id as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_attachment_ids as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_email_cc_email as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_email_from_raw as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_email_sent_via as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_email_to_email as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_email_bcc_email as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_email_direction as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_email_thread_id as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_email_from_email as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_email_message_id as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_email_sender_raw as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_follow_up_action as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_lastmodifieddate as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_body_preview_html as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_email_cc_lastname as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_email_logged_from as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_email_to_lastname as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_email_tracker_key as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_engagement_source as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_merged_object_ids as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_created_by_user_id as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_email_bcc_lastname as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_email_cc_firstname as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_email_sender_email as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_email_to_firstname as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_updated_by_user_id as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_email_bcc_firstname as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_email_error_message as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_email_from_lastname as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_email_send_event_id as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_unique_creation_key as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_email_from_firstname as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_engagement_source_id as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_queue_membership_ids as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_email_sender_lastname as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_at_mentioned_owner_ids as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_email_post_send_status as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_email_sender_firstname as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_user_ids_of_all_owners as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_all_accessible_team_ids as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_direction_and_unique_id as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_email_attached_video_id as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_email_facsimile_send_id as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hubspot_owner_assigneddate as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_email_validation_skipped as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_body_preview_is_truncated as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_email_attached_video_name as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_email_attached_video_opened as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_email_send_event_id_created as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_email_attached_video_watched as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_email_recipient_drop_reasons as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_email_media_processing_status as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_all_assigned_business_unit_ids as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_email_pending_inline_image_ids as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_email_member_of_forwarded_subthread as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_user_ids_of_all_notification_followers as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_email_encoded_email_associations_request as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_email_migrated_via_portal_data_migration as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(hs_user_ids_of_all_notification_unfollowers as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), '')) as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ))) as _airbyte_properties_hashid, 2022-04-13 05:22:22 normalization > tmp.* 2022-04-13 05:22:22 normalization > from __dbt__cte__engagements_emails_properties_ab2 tmp 2022-04-13 05:22:22 normalization > -- properties at engagements_emails/properties 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > )-- Final base SQL model 2022-04-13 05:22:22 normalization > -- depends_on: __dbt__cte__engagements_emails_properties_ab3 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > _airbyte_engagements_emails_hashid, 2022-04-13 05:22:22 normalization > hs_object_id, 2022-04-13 05:22:22 normalization > hs_timestamp, 2022-04-13 05:22:22 normalization > hs_unique_id, 2022-04-13 05:22:22 normalization > hs_created_by, 2022-04-13 05:22:22 normalization > hs_createdate, 2022-04-13 05:22:22 normalization > hs_email_html, 2022-04-13 05:22:22 normalization > hs_email_text, 2022-04-13 05:22:22 normalization > hs_modified_by, 2022-04-13 05:22:22 normalization > hs_all_team_ids, 2022-04-13 05:22:22 normalization > hs_body_preview, 2022-04-13 05:22:22 normalization > hs_email_cc_raw, 2022-04-13 05:22:22 normalization > hs_email_status, 2022-04-13 05:22:22 normalization > hs_email_to_raw, 2022-04-13 05:22:22 normalization > hs_gdpr_deleted, 2022-04-13 05:22:22 normalization > hs_product_name, 2022-04-13 05:22:22 normalization > hubspot_team_id, 2022-04-13 05:22:22 normalization > hs_all_owner_ids, 2022-04-13 05:22:22 normalization > hs_email_bcc_raw, 2022-04-13 05:22:22 normalization > hs_email_headers, 2022-04-13 05:22:22 normalization > hs_email_subject, 2022-04-13 05:22:22 normalization > hubspot_owner_id, 2022-04-13 05:22:22 normalization > hs_attachment_ids, 2022-04-13 05:22:22 normalization > hs_email_cc_email, 2022-04-13 05:22:22 normalization > hs_email_from_raw, 2022-04-13 05:22:22 normalization > hs_email_sent_via, 2022-04-13 05:22:22 normalization > hs_email_to_email, 2022-04-13 05:22:22 normalization > hs_email_bcc_email, 2022-04-13 05:22:22 normalization > hs_email_direction, 2022-04-13 05:22:22 normalization > hs_email_thread_id, 2022-04-13 05:22:22 normalization > hs_email_from_email, 2022-04-13 05:22:22 normalization > hs_email_message_id, 2022-04-13 05:22:22 normalization > hs_email_sender_raw, 2022-04-13 05:22:22 normalization > hs_follow_up_action, 2022-04-13 05:22:22 normalization > hs_lastmodifieddate, 2022-04-13 05:22:22 normalization > hs_body_preview_html, 2022-04-13 05:22:22 normalization > hs_email_cc_lastname, 2022-04-13 05:22:22 normalization > hs_email_logged_from, 2022-04-13 05:22:22 normalization > hs_email_to_lastname, 2022-04-13 05:22:22 normalization > hs_email_tracker_key, 2022-04-13 05:22:22 normalization > hs_engagement_source, 2022-04-13 05:22:22 normalization > hs_merged_object_ids, 2022-04-13 05:22:22 normalization > hs_created_by_user_id, 2022-04-13 05:22:22 normalization > hs_email_bcc_lastname, 2022-04-13 05:22:22 normalization > hs_email_cc_firstname, 2022-04-13 05:22:22 normalization > hs_email_sender_email, 2022-04-13 05:22:22 normalization > hs_email_to_firstname, 2022-04-13 05:22:22 normalization > hs_updated_by_user_id, 2022-04-13 05:22:22 normalization > hs_email_bcc_firstname, 2022-04-13 05:22:22 normalization > hs_email_error_message, 2022-04-13 05:22:22 normalization > hs_email_from_lastname, 2022-04-13 05:22:22 normalization > hs_email_send_event_id, 2022-04-13 05:22:22 normalization > hs_unique_creation_key, 2022-04-13 05:22:22 normalization > hs_email_from_firstname, 2022-04-13 05:22:22 normalization > hs_engagement_source_id, 2022-04-13 05:22:22 normalization > hs_queue_membership_ids, 2022-04-13 05:22:22 normalization > hs_email_sender_lastname, 2022-04-13 05:22:22 normalization > hs_at_mentioned_owner_ids, 2022-04-13 05:22:22 normalization > hs_email_post_send_status, 2022-04-13 05:22:22 normalization > hs_email_sender_firstname, 2022-04-13 05:22:22 normalization > hs_user_ids_of_all_owners, 2022-04-13 05:22:22 normalization > hs_all_accessible_team_ids, 2022-04-13 05:22:22 normalization > hs_direction_and_unique_id, 2022-04-13 05:22:22 normalization > hs_email_attached_video_id, 2022-04-13 05:22:22 normalization > hs_email_facsimile_send_id, 2022-04-13 05:22:22 normalization > hubspot_owner_assigneddate, 2022-04-13 05:22:22 normalization > hs_email_validation_skipped, 2022-04-13 05:22:22 normalization > hs_body_preview_is_truncated, 2022-04-13 05:22:22 normalization > hs_email_attached_video_name, 2022-04-13 05:22:22 normalization > hs_email_attached_video_opened, 2022-04-13 05:22:22 normalization > hs_email_send_event_id_created, 2022-04-13 05:22:22 normalization > hs_email_attached_video_watched, 2022-04-13 05:22:22 normalization > hs_email_recipient_drop_reasons, 2022-04-13 05:22:22 normalization > hs_email_media_processing_status, 2022-04-13 05:22:22 normalization > hs_all_assigned_business_unit_ids, 2022-04-13 05:22:22 normalization > hs_email_pending_inline_image_ids, 2022-04-13 05:22:22 normalization > hs_email_member_of_forwarded_subthread, 2022-04-13 05:22:22 normalization > hs_user_ids_of_all_notification_followers, 2022-04-13 05:22:22 normalization > hs_email_encoded_email_associations_request, 2022-04-13 05:22:22 normalization > hs_email_migrated_via_portal_data_migration, 2022-04-13 05:22:22 normalization > hs_user_ids_of_all_notification_unfollowers, 2022-04-13 05:22:22 normalization > _airbyte_ab_id, 2022-04-13 05:22:22 normalization > _airbyte_emitted_at, 2022-04-13 05:22:22 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at, 2022-04-13 05:22:22 normalization > _airbyte_properties_hashid 2022-04-13 05:22:22 normalization > from __dbt__cte__engagements_emails_properties_ab3 2022-04-13 05:22:22 normalization > -- properties at engagements_emails/properties from `mansagroup-datascience`.hubspot_.`engagements_emails` 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > and coalesce( 2022-04-13 05:22:22 normalization > cast(_airbyte_emitted_at as 2022-04-13 05:22:22 normalization > timestamp 2022-04-13 05:22:22 normalization > ) >= (select max(cast(_airbyte_emitted_at as 2022-04-13 05:22:22 normalization > timestamp 2022-04-13 05:22:22 normalization > )) from `mansagroup-datascience`.hubspot_.`engagements_emails_properties`), 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > true) 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > ); 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 05:04:42.801377 [debug] [Thread-3 ]: 2022-04-13 05:22:22 normalization > In `mansagroup-datascience`.`hubspot_`.`engagements`: 2022-04-13 05:22:22 normalization > Schema changed: False 2022-04-13 05:22:22 normalization > Source columns not in target: [] 2022-04-13 05:22:22 normalization > Target columns not in source: [] 2022-04-13 05:22:22 normalization > New column types: [] 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 05:04:42.802778 [debug] [Thread-3 ]: Writing runtime SQL for node "model.airbyte_utils.engagements" 2022-04-13 05:22:22 normalization > 05:04:42.803150 [debug] [Thread-3 ]: On model.airbyte_utils.engagements: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.engagements"} */ 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > merge into `mansagroup-datascience`.hubspot_.`engagements` as DBT_INTERNAL_DEST 2022-04-13 05:22:22 normalization > using ( 2022-04-13 05:22:22 normalization > select * from `mansagroup-datascience`.hubspot_.`engagements__dbt_tmp` 2022-04-13 05:22:22 normalization > ) as DBT_INTERNAL_SOURCE 2022-04-13 05:22:22 normalization > on 2022-04-13 05:22:22 normalization > DBT_INTERNAL_SOURCE._airbyte_ab_id = DBT_INTERNAL_DEST._airbyte_ab_id 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > when matched then update set 2022-04-13 05:22:22 normalization > `id` = DBT_INTERNAL_SOURCE.`id`,`uid` = DBT_INTERNAL_SOURCE.`uid`,`type` = DBT_INTERNAL_SOURCE.`type`,`active` = DBT_INTERNAL_SOURCE.`active`,`source` = DBT_INTERNAL_SOURCE.`source`,`teamId` = DBT_INTERNAL_SOURCE.`teamId`,`ownerId` = DBT_INTERNAL_SOURCE.`ownerId`,`metadata` = DBT_INTERNAL_SOURCE.`metadata`,`portalId` = DBT_INTERNAL_SOURCE.`portalId`,`sourceId` = DBT_INTERNAL_SOURCE.`sourceId`,`createdAt` = DBT_INTERNAL_SOURCE.`createdAt`,`createdBy` = DBT_INTERNAL_SOURCE.`createdBy`,`timestamp` = DBT_INTERNAL_SOURCE.`timestamp`,`modifiedBy` = DBT_INTERNAL_SOURCE.`modifiedBy`,`attachments` = DBT_INTERNAL_SOURCE.`attachments`,`bodyPreview` = DBT_INTERNAL_SOURCE.`bodyPreview`,`gdprDeleted` = DBT_INTERNAL_SOURCE.`gdprDeleted`,`lastUpdated` = DBT_INTERNAL_SOURCE.`lastUpdated`,`activityType` = DBT_INTERNAL_SOURCE.`activityType`,`associations` = DBT_INTERNAL_SOURCE.`associations`,`bodyPreviewHtml` = DBT_INTERNAL_SOURCE.`bodyPreviewHtml`,`allAccessibleTeamIds` = DBT_INTERNAL_SOURCE.`allAccessibleTeamIds`,`bodyPreviewIsTruncated` = DBT_INTERNAL_SOURCE.`bodyPreviewIsTruncated`,`_airbyte_ab_id` = DBT_INTERNAL_SOURCE.`_airbyte_ab_id`,`_airbyte_emitted_at` = DBT_INTERNAL_SOURCE.`_airbyte_emitted_at`,`_airbyte_normalized_at` = DBT_INTERNAL_SOURCE.`_airbyte_normalized_at`,`_airbyte_engagements_hashid` = DBT_INTERNAL_SOURCE.`_airbyte_engagements_hashid` 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > when not matched then insert 2022-04-13 05:22:22 normalization > (`id`, `uid`, `type`, `active`, `source`, `teamId`, `ownerId`, `metadata`, `portalId`, `sourceId`, `createdAt`, `createdBy`, `timestamp`, `modifiedBy`, `attachments`, `bodyPreview`, `gdprDeleted`, `lastUpdated`, `activityType`, `associations`, `bodyPreviewHtml`, `allAccessibleTeamIds`, `bodyPreviewIsTruncated`, `_airbyte_ab_id`, `_airbyte_emitted_at`, `_airbyte_normalized_at`, `_airbyte_engagements_hashid`) 2022-04-13 05:22:22 normalization > values 2022-04-13 05:22:22 normalization > (`id`, `uid`, `type`, `active`, `source`, `teamId`, `ownerId`, `metadata`, `portalId`, `sourceId`, `createdAt`, `createdBy`, `timestamp`, `modifiedBy`, `attachments`, `bodyPreview`, `gdprDeleted`, `lastUpdated`, `activityType`, `associations`, `bodyPreviewHtml`, `allAccessibleTeamIds`, `bodyPreviewIsTruncated`, `_airbyte_ab_id`, `_airbyte_emitted_at`, `_airbyte_normalized_at`, `_airbyte_engagements_hashid`) 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 05:04:58.502721 [debug] [Thread-3 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:04:58.503399 [info ] [Thread-3 ]: 9 of 77 OK created incremental model hubspot_.engagements............................................................... [MERGE (323.7k rows, 1.9 GB processed) in 112.32s] 2022-04-13 05:22:22 normalization > 05:04:58.503855 [debug] [Thread-3 ]: Finished running node model.airbyte_utils.engagements 2022-04-13 05:22:22 normalization > 05:04:58.504058 [debug] [Thread-3 ]: Began running node model.airbyte_utils.marketing_emails_stats_deviceBreakdown_click_device_type_ab1 2022-04-13 05:22:22 normalization > 05:04:58.504634 [debug] [Thread-3 ]: Acquiring new bigquery connection "model.airbyte_utils.marketing_emails_stats_deviceBreakdown_click_device_type_ab1" 2022-04-13 05:22:22 normalization > 05:04:58.505008 [debug] [Thread-3 ]: Began compiling node model.airbyte_utils.marketing_emails_stats_deviceBreakdown_click_device_type_ab1 2022-04-13 05:22:22 normalization > 05:04:58.505244 [debug] [Thread-3 ]: Compiling model.airbyte_utils.marketing_emails_stats_deviceBreakdown_click_device_type_ab1 2022-04-13 05:22:22 normalization > 05:04:58.512029 [debug] [Thread-3 ]: Writing injected SQL for node "model.airbyte_utils.marketing_emails_stats_deviceBreakdown_click_device_type_ab1" 2022-04-13 05:22:22 normalization > 05:04:58.512394 [debug] [Thread-3 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:04:58.512755 [debug] [Thread-3 ]: Finished running node model.airbyte_utils.marketing_emails_stats_deviceBreakdown_click_device_type_ab1 2022-04-13 05:22:22 normalization > 05:04:58.512973 [debug] [Thread-3 ]: Began running node model.airbyte_utils.marketing_emails_stats_deviceBreakdown_open_device_type_ab1 2022-04-13 05:22:22 normalization > 05:04:58.513409 [debug] [Thread-3 ]: Acquiring new bigquery connection "model.airbyte_utils.marketing_emails_stats_deviceBreakdown_open_device_type_ab1" 2022-04-13 05:22:22 normalization > 05:04:58.513722 [debug] [Thread-3 ]: Began compiling node model.airbyte_utils.marketing_emails_stats_deviceBreakdown_open_device_type_ab1 2022-04-13 05:22:22 normalization > 05:04:58.513898 [debug] [Thread-3 ]: Compiling model.airbyte_utils.marketing_emails_stats_deviceBreakdown_open_device_type_ab1 2022-04-13 05:22:22 normalization > 05:04:58.521684 [debug] [Thread-3 ]: Writing injected SQL for node "model.airbyte_utils.marketing_emails_stats_deviceBreakdown_open_device_type_ab1" 2022-04-13 05:22:22 normalization > 05:04:58.522003 [debug] [Thread-3 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:04:58.522376 [debug] [Thread-3 ]: Finished running node model.airbyte_utils.marketing_emails_stats_deviceBreakdown_open_device_type_ab1 2022-04-13 05:22:22 normalization > 05:04:58.522590 [debug] [Thread-3 ]: Began running node model.airbyte_utils.email_events_browser 2022-04-13 05:22:22 normalization > 05:04:58.522912 [info ] [Thread-3 ]: 62 of 77 START incremental model hubspot_.email_events_browser.......................................................... [RUN] 2022-04-13 05:22:22 normalization > 05:04:58.523473 [debug] [Thread-3 ]: Acquiring new bigquery connection "model.airbyte_utils.email_events_browser" 2022-04-13 05:22:22 normalization > 05:04:58.523669 [debug] [Thread-3 ]: Began compiling node model.airbyte_utils.email_events_browser 2022-04-13 05:22:22 normalization > 05:04:58.523832 [debug] [Thread-3 ]: Compiling model.airbyte_utils.email_events_browser 2022-04-13 05:22:22 normalization > 05:04:58.530759 [debug] [Thread-3 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:22 normalization > 05:04:58.653900 [debug] [Thread-3 ]: Writing injected SQL for node "model.airbyte_utils.email_events_browser" 2022-04-13 05:22:22 normalization > 05:04:58.654256 [debug] [Thread-3 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:04:58.654438 [debug] [Thread-3 ]: Began executing node model.airbyte_utils.email_events_browser 2022-04-13 05:22:22 normalization > 05:04:58.711071 [debug] [Thread-3 ]: On model.airbyte_utils.email_events_browser: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.email_events_browser"} */ 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > create or replace table `mansagroup-datascience`.hubspot_.`email_events_browser__dbt_tmp` 2022-04-13 05:22:22 normalization > partition by timestamp_trunc(_airbyte_emitted_at, day) 2022-04-13 05:22:22 normalization > cluster by _airbyte_emitted_at 2022-04-13 05:22:22 normalization > OPTIONS( 2022-04-13 05:22:22 normalization > expiration_timestamp=TIMESTAMP_ADD(CURRENT_TIMESTAMP(), INTERVAL 12 hour) 2022-04-13 05:22:22 normalization > ) 2022-04-13 05:22:22 normalization > as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > with __dbt__cte__email_events_browser_ab1 as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema 2022-04-13 05:22:22 normalization > -- depends_on: `mansagroup-datascience`.hubspot_.`email_events` 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > _airbyte_email_events_hashid, 2022-04-13 05:22:22 normalization > json_extract_scalar(browser, "$['url']") as url, 2022-04-13 05:22:22 normalization > json_extract_scalar(browser, "$['name']") as name, 2022-04-13 05:22:22 normalization > json_extract_scalar(browser, "$['type']") as type, 2022-04-13 05:22:22 normalization > json_extract_scalar(browser, "$['family']") as family, 2022-04-13 05:22:22 normalization > json_extract_array(browser, "$['version']") as version, 2022-04-13 05:22:22 normalization > json_extract_scalar(browser, "$['producer']") as producer, 2022-04-13 05:22:22 normalization > json_extract_scalar(browser, "$['producerUrl']") as producerUrl, 2022-04-13 05:22:22 normalization > _airbyte_ab_id, 2022-04-13 05:22:22 normalization > _airbyte_emitted_at, 2022-04-13 05:22:22 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:22 normalization > from `mansagroup-datascience`.hubspot_.`email_events` as table_alias 2022-04-13 05:22:22 normalization > -- browser at email_events/browser 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > and browser is not null 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > ), __dbt__cte__email_events_browser_ab2 as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type 2022-04-13 05:22:22 normalization > -- depends_on: __dbt__cte__email_events_browser_ab1 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > _airbyte_email_events_hashid, 2022-04-13 05:22:22 normalization > cast(url as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as url, 2022-04-13 05:22:22 normalization > cast(name as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as name, 2022-04-13 05:22:22 normalization > cast(type as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as type, 2022-04-13 05:22:22 normalization > cast(family as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as family, 2022-04-13 05:22:22 normalization > version, 2022-04-13 05:22:22 normalization > cast(producer as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as producer, 2022-04-13 05:22:22 normalization > cast(producerUrl as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as producerUrl, 2022-04-13 05:22:22 normalization > _airbyte_ab_id, 2022-04-13 05:22:22 normalization > _airbyte_emitted_at, 2022-04-13 05:22:22 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:22 normalization > from __dbt__cte__email_events_browser_ab1 2022-04-13 05:22:22 normalization > -- browser at email_events/browser 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > ), __dbt__cte__email_events_browser_ab3 as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > -- SQL model to build a hash column based on the values of this record 2022-04-13 05:22:22 normalization > -- depends_on: __dbt__cte__email_events_browser_ab2 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > to_hex(md5(cast(concat(coalesce(cast(_airbyte_email_events_hashid as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(url as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(name as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(type as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(family as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(array_to_string(version, "|", "") as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(producer as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(producerUrl as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), '')) as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ))) as _airbyte_browser_hashid, 2022-04-13 05:22:22 normalization > tmp.* 2022-04-13 05:22:22 normalization > from __dbt__cte__email_events_browser_ab2 tmp 2022-04-13 05:22:22 normalization > -- browser at email_events/browser 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > )-- Final base SQL model 2022-04-13 05:22:22 normalization > -- depends_on: __dbt__cte__email_events_browser_ab3 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > _airbyte_email_events_hashid, 2022-04-13 05:22:22 normalization > url, 2022-04-13 05:22:22 normalization > name, 2022-04-13 05:22:22 normalization > type, 2022-04-13 05:22:22 normalization > family, 2022-04-13 05:22:22 normalization > version, 2022-04-13 05:22:22 normalization > producer, 2022-04-13 05:22:22 normalization > producerUrl, 2022-04-13 05:22:22 normalization > _airbyte_ab_id, 2022-04-13 05:22:22 normalization > _airbyte_emitted_at, 2022-04-13 05:22:22 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at, 2022-04-13 05:22:22 normalization > _airbyte_browser_hashid 2022-04-13 05:22:22 normalization > from __dbt__cte__email_events_browser_ab3 2022-04-13 05:22:22 normalization > -- browser at email_events/browser from `mansagroup-datascience`.hubspot_.`email_events` 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > and coalesce( 2022-04-13 05:22:22 normalization > cast(_airbyte_emitted_at as 2022-04-13 05:22:22 normalization > timestamp 2022-04-13 05:22:22 normalization > ) >= (select max(cast(_airbyte_emitted_at as 2022-04-13 05:22:22 normalization > timestamp 2022-04-13 05:22:22 normalization > )) from `mansagroup-datascience`.hubspot_.`email_events_browser`), 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > true) 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > ); 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 05:05:03.200052 [debug] [Thread-3 ]: 2022-04-13 05:22:22 normalization > In `mansagroup-datascience`.`hubspot_`.`email_events_browser`: 2022-04-13 05:22:22 normalization > Schema changed: False 2022-04-13 05:22:22 normalization > Source columns not in target: [] 2022-04-13 05:22:22 normalization > Target columns not in source: [] 2022-04-13 05:22:22 normalization > New column types: [] 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 05:05:03.201530 [debug] [Thread-3 ]: Writing runtime SQL for node "model.airbyte_utils.email_events_browser" 2022-04-13 05:22:22 normalization > 05:05:03.201979 [debug] [Thread-3 ]: On model.airbyte_utils.email_events_browser: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.email_events_browser"} */ 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > merge into `mansagroup-datascience`.hubspot_.`email_events_browser` as DBT_INTERNAL_DEST 2022-04-13 05:22:22 normalization > using ( 2022-04-13 05:22:22 normalization > select * from `mansagroup-datascience`.hubspot_.`email_events_browser__dbt_tmp` 2022-04-13 05:22:22 normalization > ) as DBT_INTERNAL_SOURCE 2022-04-13 05:22:22 normalization > on FALSE 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > when not matched then insert 2022-04-13 05:22:22 normalization > (`_airbyte_email_events_hashid`, `url`, `name`, `type`, `family`, `version`, `producer`, `producerUrl`, `_airbyte_ab_id`, `_airbyte_emitted_at`, `_airbyte_normalized_at`, `_airbyte_browser_hashid`) 2022-04-13 05:22:22 normalization > values 2022-04-13 05:22:22 normalization > (`_airbyte_email_events_hashid`, `url`, `name`, `type`, `family`, `version`, `producer`, `producerUrl`, `_airbyte_ab_id`, `_airbyte_emitted_at`, `_airbyte_normalized_at`, `_airbyte_browser_hashid`) 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 05:05:06.010894 [debug] [Thread-3 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:05:06.011548 [info ] [Thread-3 ]: 62 of 77 OK created incremental model hubspot_.email_events_browser..................................................... [MERGE (66.5k rows, 14.0 MB processed) in 7.49s] 2022-04-13 05:22:22 normalization > 05:05:06.011987 [debug] [Thread-3 ]: Finished running node model.airbyte_utils.email_events_browser 2022-04-13 05:22:22 normalization > 05:05:06.012191 [debug] [Thread-3 ]: Began running node model.airbyte_utils.subscription_changes_changes_causedByEvent 2022-04-13 05:22:22 normalization > 05:05:06.012629 [info ] [Thread-3 ]: 63 of 77 START incremental model hubspot_.subscription_changes_changes_causedByEvent.................................... [RUN] 2022-04-13 05:22:22 normalization > 05:05:06.013120 [debug] [Thread-3 ]: Acquiring new bigquery connection "model.airbyte_utils.subscription_changes_changes_causedByEvent" 2022-04-13 05:22:22 normalization > 05:05:06.013326 [debug] [Thread-3 ]: Began compiling node model.airbyte_utils.subscription_changes_changes_causedByEvent 2022-04-13 05:22:22 normalization > 05:05:06.013492 [debug] [Thread-3 ]: Compiling model.airbyte_utils.subscription_changes_changes_causedByEvent 2022-04-13 05:22:22 normalization > 05:05:06.020761 [debug] [Thread-3 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:22 normalization > 05:05:06.158627 [debug] [Thread-3 ]: Writing injected SQL for node "model.airbyte_utils.subscription_changes_changes_causedByEvent" 2022-04-13 05:22:22 normalization > 05:05:06.158986 [debug] [Thread-3 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:05:06.159161 [debug] [Thread-3 ]: Began executing node model.airbyte_utils.subscription_changes_changes_causedByEvent 2022-04-13 05:22:22 normalization > 05:05:06.221127 [debug] [Thread-3 ]: On model.airbyte_utils.subscription_changes_changes_causedByEvent: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.subscription_changes_changes_causedByEvent"} */ 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > create or replace table `mansagroup-datascience`.hubspot_.`subscription_changes_changes_causedByEvent__dbt_tmp` 2022-04-13 05:22:22 normalization > partition by timestamp_trunc(_airbyte_emitted_at, day) 2022-04-13 05:22:22 normalization > cluster by _airbyte_emitted_at 2022-04-13 05:22:22 normalization > OPTIONS( 2022-04-13 05:22:22 normalization > expiration_timestamp=TIMESTAMP_ADD(CURRENT_TIMESTAMP(), INTERVAL 12 hour) 2022-04-13 05:22:22 normalization > ) 2022-04-13 05:22:22 normalization > as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > with __dbt__cte__subscription_changes_changes_causedByEvent_ab1 as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema 2022-04-13 05:22:22 normalization > -- depends_on: `mansagroup-datascience`.hubspot_.`subscription_changes_changes` 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > _airbyte_changes_hashid, 2022-04-13 05:22:22 normalization > json_extract_scalar(causedByEvent, "$['id']") as id, 2022-04-13 05:22:22 normalization > json_extract_scalar(causedByEvent, "$['created']") as created, 2022-04-13 05:22:22 normalization > _airbyte_ab_id, 2022-04-13 05:22:22 normalization > _airbyte_emitted_at, 2022-04-13 05:22:22 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:22 normalization > from `mansagroup-datascience`.hubspot_.`subscription_changes_changes` as table_alias 2022-04-13 05:22:22 normalization > -- causedByEvent at subscription_changes/changes/causedByEvent 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > and causedByEvent is not null 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > ), __dbt__cte__subscription_changes_changes_causedByEvent_ab2 as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type 2022-04-13 05:22:22 normalization > -- depends_on: __dbt__cte__subscription_changes_changes_causedByEvent_ab1 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > _airbyte_changes_hashid, 2022-04-13 05:22:22 normalization > cast(id as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as id, 2022-04-13 05:22:22 normalization > cast(created as 2022-04-13 05:22:22 normalization > int64 2022-04-13 05:22:22 normalization > ) as created, 2022-04-13 05:22:22 normalization > _airbyte_ab_id, 2022-04-13 05:22:22 normalization > _airbyte_emitted_at, 2022-04-13 05:22:22 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:22 normalization > from __dbt__cte__subscription_changes_changes_causedByEvent_ab1 2022-04-13 05:22:22 normalization > -- causedByEvent at subscription_changes/changes/causedByEvent 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > ), __dbt__cte__subscription_changes_changes_causedByEvent_ab3 as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > -- SQL model to build a hash column based on the values of this record 2022-04-13 05:22:22 normalization > -- depends_on: __dbt__cte__subscription_changes_changes_causedByEvent_ab2 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > to_hex(md5(cast(concat(coalesce(cast(_airbyte_changes_hashid as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(id as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(created as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), '')) as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ))) as _airbyte_causedByEvent_hashid, 2022-04-13 05:22:22 normalization > tmp.* 2022-04-13 05:22:22 normalization > from __dbt__cte__subscription_changes_changes_causedByEvent_ab2 tmp 2022-04-13 05:22:22 normalization > -- causedByEvent at subscription_changes/changes/causedByEvent 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > )-- Final base SQL model 2022-04-13 05:22:22 normalization > -- depends_on: __dbt__cte__subscription_changes_changes_causedByEvent_ab3 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > _airbyte_changes_hashid, 2022-04-13 05:22:22 normalization > id, 2022-04-13 05:22:22 normalization > created, 2022-04-13 05:22:22 normalization > _airbyte_ab_id, 2022-04-13 05:22:22 normalization > _airbyte_emitted_at, 2022-04-13 05:22:22 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at, 2022-04-13 05:22:22 normalization > _airbyte_causedByEvent_hashid 2022-04-13 05:22:22 normalization > from __dbt__cte__subscription_changes_changes_causedByEvent_ab3 2022-04-13 05:22:22 normalization > -- causedByEvent at subscription_changes/changes/causedByEvent from `mansagroup-datascience`.hubspot_.`subscription_changes_changes` 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > and coalesce( 2022-04-13 05:22:22 normalization > cast(_airbyte_emitted_at as 2022-04-13 05:22:22 normalization > timestamp 2022-04-13 05:22:22 normalization > ) >= (select max(cast(_airbyte_emitted_at as 2022-04-13 05:22:22 normalization > timestamp 2022-04-13 05:22:22 normalization > )) from `mansagroup-datascience`.hubspot_.`subscription_changes_changes_causedByEvent`), 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > true) 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > ); 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 05:05:08.243834 [debug] [Thread-3 ]: 2022-04-13 05:22:22 normalization > In `mansagroup-datascience`.`hubspot_`.`subscription_changes_changes_causedByEvent`: 2022-04-13 05:22:22 normalization > Schema changed: False 2022-04-13 05:22:22 normalization > Source columns not in target: [] 2022-04-13 05:22:22 normalization > Target columns not in source: [] 2022-04-13 05:22:22 normalization > New column types: [] 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 05:05:08.244875 [debug] [Thread-3 ]: Writing runtime SQL for node "model.airbyte_utils.subscription_changes_changes_causedByEvent" 2022-04-13 05:22:22 normalization > 05:05:08.245276 [debug] [Thread-3 ]: On model.airbyte_utils.subscription_changes_changes_causedByEvent: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.subscription_changes_changes_causedByEvent"} */ 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > merge into `mansagroup-datascience`.hubspot_.`subscription_changes_changes_causedByEvent` as DBT_INTERNAL_DEST 2022-04-13 05:22:22 normalization > using ( 2022-04-13 05:22:22 normalization > select * from `mansagroup-datascience`.hubspot_.`subscription_changes_changes_causedByEvent__dbt_tmp` 2022-04-13 05:22:22 normalization > ) as DBT_INTERNAL_SOURCE 2022-04-13 05:22:22 normalization > on FALSE 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > when not matched then insert 2022-04-13 05:22:22 normalization > (`_airbyte_changes_hashid`, `id`, `created`, `_airbyte_ab_id`, `_airbyte_emitted_at`, `_airbyte_normalized_at`, `_airbyte_causedByEvent_hashid`) 2022-04-13 05:22:22 normalization > values 2022-04-13 05:22:22 normalization > (`_airbyte_changes_hashid`, `id`, `created`, `_airbyte_ab_id`, `_airbyte_emitted_at`, `_airbyte_normalized_at`, `_airbyte_causedByEvent_hashid`) 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 05:05:10.147715 [debug] [Thread-3 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:05:10.148410 [info ] [Thread-3 ]: 63 of 77 OK created incremental model hubspot_.subscription_changes_changes_causedByEvent............................... [MERGE (1.9k rows, 313.4 KB processed) in 4.14s] 2022-04-13 05:22:22 normalization > 05:05:10.148856 [debug] [Thread-3 ]: Finished running node model.airbyte_utils.subscription_changes_changes_causedByEvent 2022-04-13 05:22:22 normalization > 05:05:10.149065 [debug] [Thread-3 ]: Began running node model.airbyte_utils.email_events_causedBy 2022-04-13 05:22:22 normalization > 05:05:10.149483 [info ] [Thread-3 ]: 64 of 77 START incremental model hubspot_.email_events_causedBy......................................................... [RUN] 2022-04-13 05:22:22 normalization > 05:05:10.149992 [debug] [Thread-3 ]: Acquiring new bigquery connection "model.airbyte_utils.email_events_causedBy" 2022-04-13 05:22:22 normalization > 05:05:10.150165 [debug] [Thread-3 ]: Began compiling node model.airbyte_utils.email_events_causedBy 2022-04-13 05:22:22 normalization > 05:05:10.150354 [debug] [Thread-3 ]: Compiling model.airbyte_utils.email_events_causedBy 2022-04-13 05:22:22 normalization > 05:05:10.157836 [debug] [Thread-3 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:22 normalization > 05:05:10.254244 [debug] [Thread-3 ]: Writing injected SQL for node "model.airbyte_utils.email_events_causedBy" 2022-04-13 05:22:22 normalization > 05:05:10.254591 [debug] [Thread-3 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:05:10.254785 [debug] [Thread-3 ]: Began executing node model.airbyte_utils.email_events_causedBy 2022-04-13 05:22:22 normalization > 05:05:10.322266 [debug] [Thread-3 ]: On model.airbyte_utils.email_events_causedBy: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.email_events_causedBy"} */ 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > create or replace table `mansagroup-datascience`.hubspot_.`email_events_causedBy__dbt_tmp` 2022-04-13 05:22:22 normalization > partition by timestamp_trunc(_airbyte_emitted_at, day) 2022-04-13 05:22:22 normalization > cluster by _airbyte_emitted_at 2022-04-13 05:22:22 normalization > OPTIONS( 2022-04-13 05:22:22 normalization > expiration_timestamp=TIMESTAMP_ADD(CURRENT_TIMESTAMP(), INTERVAL 12 hour) 2022-04-13 05:22:22 normalization > ) 2022-04-13 05:22:22 normalization > as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > with __dbt__cte__email_events_causedBy_ab1 as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema 2022-04-13 05:22:22 normalization > -- depends_on: `mansagroup-datascience`.hubspot_.`email_events` 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > _airbyte_email_events_hashid, 2022-04-13 05:22:22 normalization > json_extract_scalar(causedBy, "$['id']") as id, 2022-04-13 05:22:22 normalization > json_extract_scalar(causedBy, "$['created']") as created, 2022-04-13 05:22:22 normalization > _airbyte_ab_id, 2022-04-13 05:22:22 normalization > _airbyte_emitted_at, 2022-04-13 05:22:22 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:22 normalization > from `mansagroup-datascience`.hubspot_.`email_events` as table_alias 2022-04-13 05:22:22 normalization > -- causedBy at email_events/causedBy 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > and causedBy is not null 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > ), __dbt__cte__email_events_causedBy_ab2 as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type 2022-04-13 05:22:22 normalization > -- depends_on: __dbt__cte__email_events_causedBy_ab1 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > _airbyte_email_events_hashid, 2022-04-13 05:22:22 normalization > cast(id as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as id, 2022-04-13 05:22:22 normalization > cast(created as 2022-04-13 05:22:22 normalization > int64 2022-04-13 05:22:22 normalization > ) as created, 2022-04-13 05:22:22 normalization > _airbyte_ab_id, 2022-04-13 05:22:22 normalization > _airbyte_emitted_at, 2022-04-13 05:22:22 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:22 normalization > from __dbt__cte__email_events_causedBy_ab1 2022-04-13 05:22:22 normalization > -- causedBy at email_events/causedBy 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > ), __dbt__cte__email_events_causedBy_ab3 as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > -- SQL model to build a hash column based on the values of this record 2022-04-13 05:22:22 normalization > -- depends_on: __dbt__cte__email_events_causedBy_ab2 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > to_hex(md5(cast(concat(coalesce(cast(_airbyte_email_events_hashid as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(id as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(created as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), '')) as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ))) as _airbyte_causedBy_hashid, 2022-04-13 05:22:22 normalization > tmp.* 2022-04-13 05:22:22 normalization > from __dbt__cte__email_events_causedBy_ab2 tmp 2022-04-13 05:22:22 normalization > -- causedBy at email_events/causedBy 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > )-- Final base SQL model 2022-04-13 05:22:22 normalization > -- depends_on: __dbt__cte__email_events_causedBy_ab3 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > _airbyte_email_events_hashid, 2022-04-13 05:22:22 normalization > id, 2022-04-13 05:22:22 normalization > created, 2022-04-13 05:22:22 normalization > _airbyte_ab_id, 2022-04-13 05:22:22 normalization > _airbyte_emitted_at, 2022-04-13 05:22:22 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at, 2022-04-13 05:22:22 normalization > _airbyte_causedBy_hashid 2022-04-13 05:22:22 normalization > from __dbt__cte__email_events_causedBy_ab3 2022-04-13 05:22:22 normalization > -- causedBy at email_events/causedBy from `mansagroup-datascience`.hubspot_.`email_events` 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > and coalesce( 2022-04-13 05:22:22 normalization > cast(_airbyte_emitted_at as 2022-04-13 05:22:22 normalization > timestamp 2022-04-13 05:22:22 normalization > ) >= (select max(cast(_airbyte_emitted_at as 2022-04-13 05:22:22 normalization > timestamp 2022-04-13 05:22:22 normalization > )) from `mansagroup-datascience`.hubspot_.`email_events_causedBy`), 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > true) 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > ); 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 05:05:12.662676 [debug] [Thread-3 ]: 2022-04-13 05:22:22 normalization > In `mansagroup-datascience`.`hubspot_`.`email_events_causedBy`: 2022-04-13 05:22:22 normalization > Schema changed: False 2022-04-13 05:22:22 normalization > Source columns not in target: [] 2022-04-13 05:22:22 normalization > Target columns not in source: [] 2022-04-13 05:22:22 normalization > New column types: [] 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 05:05:12.663689 [debug] [Thread-3 ]: Writing runtime SQL for node "model.airbyte_utils.email_events_causedBy" 2022-04-13 05:22:22 normalization > 05:05:12.664045 [debug] [Thread-3 ]: On model.airbyte_utils.email_events_causedBy: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.email_events_causedBy"} */ 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > merge into `mansagroup-datascience`.hubspot_.`email_events_causedBy` as DBT_INTERNAL_DEST 2022-04-13 05:22:22 normalization > using ( 2022-04-13 05:22:22 normalization > select * from `mansagroup-datascience`.hubspot_.`email_events_causedBy__dbt_tmp` 2022-04-13 05:22:22 normalization > ) as DBT_INTERNAL_SOURCE 2022-04-13 05:22:22 normalization > on FALSE 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > when not matched then insert 2022-04-13 05:22:22 normalization > (`_airbyte_email_events_hashid`, `id`, `created`, `_airbyte_ab_id`, `_airbyte_emitted_at`, `_airbyte_normalized_at`, `_airbyte_causedBy_hashid`) 2022-04-13 05:22:22 normalization > values 2022-04-13 05:22:22 normalization > (`_airbyte_email_events_hashid`, `id`, `created`, `_airbyte_ab_id`, `_airbyte_emitted_at`, `_airbyte_normalized_at`, `_airbyte_causedBy_hashid`) 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 05:05:14.582807 [debug] [Thread-3 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:05:14.583469 [info ] [Thread-3 ]: 64 of 77 OK created incremental model hubspot_.email_events_causedBy.................................................... [MERGE (1.1k rows, 174.6 KB processed) in 4.43s] 2022-04-13 05:22:22 normalization > 05:05:14.583919 [debug] [Thread-3 ]: Finished running node model.airbyte_utils.email_events_causedBy 2022-04-13 05:22:22 normalization > 05:05:14.584139 [debug] [Thread-3 ]: Began running node model.airbyte_utils.email_events_obsoletedBy 2022-04-13 05:22:22 normalization > 05:05:14.584567 [info ] [Thread-3 ]: 65 of 77 START incremental model hubspot_.email_events_obsoletedBy...................................................... [RUN] 2022-04-13 05:22:22 normalization > 05:05:14.585066 [debug] [Thread-3 ]: Acquiring new bigquery connection "model.airbyte_utils.email_events_obsoletedBy" 2022-04-13 05:22:22 normalization > 05:05:14.585257 [debug] [Thread-3 ]: Began compiling node model.airbyte_utils.email_events_obsoletedBy 2022-04-13 05:22:22 normalization > 05:05:14.585418 [debug] [Thread-3 ]: Compiling model.airbyte_utils.email_events_obsoletedBy 2022-04-13 05:22:22 normalization > 05:05:14.592933 [debug] [Thread-3 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:22 normalization > 05:05:14.704159 [debug] [Thread-3 ]: Writing injected SQL for node "model.airbyte_utils.email_events_obsoletedBy" 2022-04-13 05:22:22 normalization > 05:05:14.704518 [debug] [Thread-3 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:05:14.704692 [debug] [Thread-3 ]: Began executing node model.airbyte_utils.email_events_obsoletedBy 2022-04-13 05:22:22 normalization > 05:05:14.756940 [debug] [Thread-3 ]: On model.airbyte_utils.email_events_obsoletedBy: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.email_events_obsoletedBy"} */ 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > create or replace table `mansagroup-datascience`.hubspot_.`email_events_obsoletedBy__dbt_tmp` 2022-04-13 05:22:22 normalization > partition by timestamp_trunc(_airbyte_emitted_at, day) 2022-04-13 05:22:22 normalization > cluster by _airbyte_emitted_at 2022-04-13 05:22:22 normalization > OPTIONS( 2022-04-13 05:22:22 normalization > expiration_timestamp=TIMESTAMP_ADD(CURRENT_TIMESTAMP(), INTERVAL 12 hour) 2022-04-13 05:22:22 normalization > ) 2022-04-13 05:22:22 normalization > as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > with __dbt__cte__email_events_obsoletedBy_ab1 as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema 2022-04-13 05:22:22 normalization > -- depends_on: `mansagroup-datascience`.hubspot_.`email_events` 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > _airbyte_email_events_hashid, 2022-04-13 05:22:22 normalization > json_extract_scalar(obsoletedBy, "$['id']") as id, 2022-04-13 05:22:22 normalization > json_extract_scalar(obsoletedBy, "$['created']") as created, 2022-04-13 05:22:22 normalization > _airbyte_ab_id, 2022-04-13 05:22:22 normalization > _airbyte_emitted_at, 2022-04-13 05:22:22 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:22 normalization > from `mansagroup-datascience`.hubspot_.`email_events` as table_alias 2022-04-13 05:22:22 normalization > -- obsoletedBy at email_events/obsoletedBy 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > and obsoletedBy is not null 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > ), __dbt__cte__email_events_obsoletedBy_ab2 as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type 2022-04-13 05:22:22 normalization > -- depends_on: __dbt__cte__email_events_obsoletedBy_ab1 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > _airbyte_email_events_hashid, 2022-04-13 05:22:22 normalization > cast(id as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as id, 2022-04-13 05:22:22 normalization > cast(created as 2022-04-13 05:22:22 normalization > int64 2022-04-13 05:22:22 normalization > ) as created, 2022-04-13 05:22:22 normalization > _airbyte_ab_id, 2022-04-13 05:22:22 normalization > _airbyte_emitted_at, 2022-04-13 05:22:22 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:22 normalization > from __dbt__cte__email_events_obsoletedBy_ab1 2022-04-13 05:22:22 normalization > -- obsoletedBy at email_events/obsoletedBy 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > ), __dbt__cte__email_events_obsoletedBy_ab3 as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > -- SQL model to build a hash column based on the values of this record 2022-04-13 05:22:22 normalization > -- depends_on: __dbt__cte__email_events_obsoletedBy_ab2 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > to_hex(md5(cast(concat(coalesce(cast(_airbyte_email_events_hashid as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(id as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(created as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), '')) as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ))) as _airbyte_obsoletedBy_hashid, 2022-04-13 05:22:22 normalization > tmp.* 2022-04-13 05:22:22 normalization > from __dbt__cte__email_events_obsoletedBy_ab2 tmp 2022-04-13 05:22:22 normalization > -- obsoletedBy at email_events/obsoletedBy 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > )-- Final base SQL model 2022-04-13 05:22:22 normalization > -- depends_on: __dbt__cte__email_events_obsoletedBy_ab3 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > _airbyte_email_events_hashid, 2022-04-13 05:22:22 normalization > id, 2022-04-13 05:22:22 normalization > created, 2022-04-13 05:22:22 normalization > _airbyte_ab_id, 2022-04-13 05:22:22 normalization > _airbyte_emitted_at, 2022-04-13 05:22:22 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at, 2022-04-13 05:22:22 normalization > _airbyte_obsoletedBy_hashid 2022-04-13 05:22:22 normalization > from __dbt__cte__email_events_obsoletedBy_ab3 2022-04-13 05:22:22 normalization > -- obsoletedBy at email_events/obsoletedBy from `mansagroup-datascience`.hubspot_.`email_events` 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > and coalesce( 2022-04-13 05:22:22 normalization > cast(_airbyte_emitted_at as 2022-04-13 05:22:22 normalization > timestamp 2022-04-13 05:22:22 normalization > ) >= (select max(cast(_airbyte_emitted_at as 2022-04-13 05:22:22 normalization > timestamp 2022-04-13 05:22:22 normalization > )) from `mansagroup-datascience`.hubspot_.`email_events_obsoletedBy`), 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > true) 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > ); 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 05:05:17.034307 [debug] [Thread-3 ]: 2022-04-13 05:22:22 normalization > In `mansagroup-datascience`.`hubspot_`.`email_events_obsoletedBy`: 2022-04-13 05:22:22 normalization > Schema changed: False 2022-04-13 05:22:22 normalization > Source columns not in target: [] 2022-04-13 05:22:22 normalization > Target columns not in source: [] 2022-04-13 05:22:22 normalization > New column types: [] 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 05:05:17.035325 [debug] [Thread-3 ]: Writing runtime SQL for node "model.airbyte_utils.email_events_obsoletedBy" 2022-04-13 05:22:22 normalization > 05:05:17.035683 [debug] [Thread-3 ]: On model.airbyte_utils.email_events_obsoletedBy: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.email_events_obsoletedBy"} */ 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > merge into `mansagroup-datascience`.hubspot_.`email_events_obsoletedBy` as DBT_INTERNAL_DEST 2022-04-13 05:22:22 normalization > using ( 2022-04-13 05:22:22 normalization > select * from `mansagroup-datascience`.hubspot_.`email_events_obsoletedBy__dbt_tmp` 2022-04-13 05:22:22 normalization > ) as DBT_INTERNAL_SOURCE 2022-04-13 05:22:22 normalization > on FALSE 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > when not matched then insert 2022-04-13 05:22:22 normalization > (`_airbyte_email_events_hashid`, `id`, `created`, `_airbyte_ab_id`, `_airbyte_emitted_at`, `_airbyte_normalized_at`, `_airbyte_obsoletedBy_hashid`) 2022-04-13 05:22:22 normalization > values 2022-04-13 05:22:22 normalization > (`_airbyte_email_events_hashid`, `id`, `created`, `_airbyte_ab_id`, `_airbyte_emitted_at`, `_airbyte_normalized_at`, `_airbyte_obsoletedBy_hashid`) 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 05:05:18.952170 [debug] [Thread-3 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:05:18.952831 [info ] [Thread-3 ]: 65 of 77 OK created incremental model hubspot_.email_events_obsoletedBy................................................. [MERGE (389.0 rows, 63.8 KB processed) in 4.37s] 2022-04-13 05:22:22 normalization > 05:05:18.953297 [debug] [Thread-3 ]: Finished running node model.airbyte_utils.email_events_obsoletedBy 2022-04-13 05:22:22 normalization > 05:05:18.953510 [debug] [Thread-3 ]: Began running node model.airbyte_utils.email_events_location 2022-04-13 05:22:22 normalization > 05:05:18.953916 [info ] [Thread-3 ]: 66 of 77 START incremental model hubspot_.email_events_location......................................................... [RUN] 2022-04-13 05:22:22 normalization > 05:05:18.954441 [debug] [Thread-3 ]: Acquiring new bigquery connection "model.airbyte_utils.email_events_location" 2022-04-13 05:22:22 normalization > 05:05:18.954618 [debug] [Thread-3 ]: Began compiling node model.airbyte_utils.email_events_location 2022-04-13 05:22:22 normalization > 05:05:18.954773 [debug] [Thread-3 ]: Compiling model.airbyte_utils.email_events_location 2022-04-13 05:22:22 normalization > 05:05:18.962301 [debug] [Thread-3 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:22 normalization > 05:05:19.083793 [debug] [Thread-3 ]: Writing injected SQL for node "model.airbyte_utils.email_events_location" 2022-04-13 05:22:22 normalization > 05:05:19.084154 [debug] [Thread-3 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:05:19.084377 [debug] [Thread-3 ]: Began executing node model.airbyte_utils.email_events_location 2022-04-13 05:22:22 normalization > 05:05:19.185698 [debug] [Thread-3 ]: On model.airbyte_utils.email_events_location: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.email_events_location"} */ 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > create or replace table `mansagroup-datascience`.hubspot_.`email_events_location__dbt_tmp` 2022-04-13 05:22:22 normalization > partition by timestamp_trunc(_airbyte_emitted_at, day) 2022-04-13 05:22:22 normalization > cluster by _airbyte_emitted_at 2022-04-13 05:22:22 normalization > OPTIONS( 2022-04-13 05:22:22 normalization > expiration_timestamp=TIMESTAMP_ADD(CURRENT_TIMESTAMP(), INTERVAL 12 hour) 2022-04-13 05:22:22 normalization > ) 2022-04-13 05:22:22 normalization > as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > with __dbt__cte__email_events_location_ab1 as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema 2022-04-13 05:22:22 normalization > -- depends_on: `mansagroup-datascience`.hubspot_.`email_events` 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > _airbyte_email_events_hashid, 2022-04-13 05:22:22 normalization > json_extract_scalar(location, "$['city']") as city, 2022-04-13 05:22:22 normalization > json_extract_scalar(location, "$['state']") as state, 2022-04-13 05:22:22 normalization > json_extract_scalar(location, "$['country']") as country, 2022-04-13 05:22:22 normalization > json_extract_scalar(location, "$['zipcode']") as zipcode, 2022-04-13 05:22:22 normalization > json_extract_scalar(location, "$['latitude']") as latitude, 2022-04-13 05:22:22 normalization > json_extract_scalar(location, "$['longitude']") as longitude, 2022-04-13 05:22:22 normalization > _airbyte_ab_id, 2022-04-13 05:22:22 normalization > _airbyte_emitted_at, 2022-04-13 05:22:22 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:22 normalization > from `mansagroup-datascience`.hubspot_.`email_events` as table_alias 2022-04-13 05:22:22 normalization > -- location at email_events/location 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > and location is not null 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > ), __dbt__cte__email_events_location_ab2 as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type 2022-04-13 05:22:22 normalization > -- depends_on: __dbt__cte__email_events_location_ab1 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > _airbyte_email_events_hashid, 2022-04-13 05:22:22 normalization > cast(city as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as city, 2022-04-13 05:22:22 normalization > cast(state as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as state, 2022-04-13 05:22:22 normalization > cast(country as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as country, 2022-04-13 05:22:22 normalization > cast(zipcode as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as zipcode, 2022-04-13 05:22:22 normalization > cast(latitude as 2022-04-13 05:22:22 normalization > float64 2022-04-13 05:22:22 normalization > ) as latitude, 2022-04-13 05:22:22 normalization > cast(longitude as 2022-04-13 05:22:22 normalization > float64 2022-04-13 05:22:22 normalization > ) as longitude, 2022-04-13 05:22:22 normalization > _airbyte_ab_id, 2022-04-13 05:22:22 normalization > _airbyte_emitted_at, 2022-04-13 05:22:22 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:22 normalization > from __dbt__cte__email_events_location_ab1 2022-04-13 05:22:22 normalization > -- location at email_events/location 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > ), __dbt__cte__email_events_location_ab3 as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > -- SQL model to build a hash column based on the values of this record 2022-04-13 05:22:22 normalization > -- depends_on: __dbt__cte__email_events_location_ab2 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > to_hex(md5(cast(concat(coalesce(cast(_airbyte_email_events_hashid as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(city as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(state as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(country as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(zipcode as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(latitude as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(longitude as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), '')) as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ))) as _airbyte_location_hashid, 2022-04-13 05:22:22 normalization > tmp.* 2022-04-13 05:22:22 normalization > from __dbt__cte__email_events_location_ab2 tmp 2022-04-13 05:22:22 normalization > -- location at email_events/location 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > )-- Final base SQL model 2022-04-13 05:22:22 normalization > -- depends_on: __dbt__cte__email_events_location_ab3 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > _airbyte_email_events_hashid, 2022-04-13 05:22:22 normalization > city, 2022-04-13 05:22:22 normalization > state, 2022-04-13 05:22:22 normalization > country, 2022-04-13 05:22:22 normalization > zipcode, 2022-04-13 05:22:22 normalization > latitude, 2022-04-13 05:22:22 normalization > longitude, 2022-04-13 05:22:22 normalization > _airbyte_ab_id, 2022-04-13 05:22:22 normalization > _airbyte_emitted_at, 2022-04-13 05:22:22 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at, 2022-04-13 05:22:22 normalization > _airbyte_location_hashid 2022-04-13 05:22:22 normalization > from __dbt__cte__email_events_location_ab3 2022-04-13 05:22:22 normalization > -- location at email_events/location from `mansagroup-datascience`.hubspot_.`email_events` 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > and coalesce( 2022-04-13 05:22:22 normalization > cast(_airbyte_emitted_at as 2022-04-13 05:22:22 normalization > timestamp 2022-04-13 05:22:22 normalization > ) >= (select max(cast(_airbyte_emitted_at as 2022-04-13 05:22:22 normalization > timestamp 2022-04-13 05:22:22 normalization > )) from `mansagroup-datascience`.hubspot_.`email_events_location`), 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > true) 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > ); 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 05:05:23.003934 [debug] [Thread-3 ]: 2022-04-13 05:22:22 normalization > In `mansagroup-datascience`.`hubspot_`.`email_events_location`: 2022-04-13 05:22:22 normalization > Schema changed: False 2022-04-13 05:22:22 normalization > Source columns not in target: [] 2022-04-13 05:22:22 normalization > Target columns not in source: [] 2022-04-13 05:22:22 normalization > New column types: [] 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 05:05:23.005032 [debug] [Thread-3 ]: Writing runtime SQL for node "model.airbyte_utils.email_events_location" 2022-04-13 05:22:22 normalization > 05:05:23.005428 [debug] [Thread-3 ]: On model.airbyte_utils.email_events_location: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.email_events_location"} */ 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > merge into `mansagroup-datascience`.hubspot_.`email_events_location` as DBT_INTERNAL_DEST 2022-04-13 05:22:22 normalization > using ( 2022-04-13 05:22:22 normalization > select * from `mansagroup-datascience`.hubspot_.`email_events_location__dbt_tmp` 2022-04-13 05:22:22 normalization > ) as DBT_INTERNAL_SOURCE 2022-04-13 05:22:22 normalization > on FALSE 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > when not matched then insert 2022-04-13 05:22:22 normalization > (`_airbyte_email_events_hashid`, `city`, `state`, `country`, `zipcode`, `latitude`, `longitude`, `_airbyte_ab_id`, `_airbyte_emitted_at`, `_airbyte_normalized_at`, `_airbyte_location_hashid`) 2022-04-13 05:22:22 normalization > values 2022-04-13 05:22:22 normalization > (`_airbyte_email_events_hashid`, `city`, `state`, `country`, `zipcode`, `latitude`, `longitude`, `_airbyte_ab_id`, `_airbyte_emitted_at`, `_airbyte_normalized_at`, `_airbyte_location_hashid`) 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 05:05:25.791428 [debug] [Thread-3 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:05:25.792072 [info ] [Thread-3 ]: 66 of 77 OK created incremental model hubspot_.email_events_location.................................................... [MERGE (66.5k rows, 9.7 MB processed) in 6.84s] 2022-04-13 05:22:22 normalization > 05:05:25.792527 [debug] [Thread-3 ]: Finished running node model.airbyte_utils.email_events_location 2022-04-13 05:22:22 normalization > 05:05:25.792727 [debug] [Thread-3 ]: Began running node model.airbyte_utils.email_events_sentBy 2022-04-13 05:22:22 normalization > 05:05:25.793125 [info ] [Thread-3 ]: 67 of 77 START incremental model hubspot_.email_events_sentBy........................................................... [RUN] 2022-04-13 05:22:22 normalization > 05:05:25.793641 [debug] [Thread-3 ]: Acquiring new bigquery connection "model.airbyte_utils.email_events_sentBy" 2022-04-13 05:22:22 normalization > 05:05:25.793813 [debug] [Thread-3 ]: Began compiling node model.airbyte_utils.email_events_sentBy 2022-04-13 05:22:22 normalization > 05:05:25.793968 [debug] [Thread-3 ]: Compiling model.airbyte_utils.email_events_sentBy 2022-04-13 05:22:22 normalization > 05:05:25.801395 [debug] [Thread-3 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:22 normalization > 05:05:25.922318 [debug] [Thread-3 ]: Writing injected SQL for node "model.airbyte_utils.email_events_sentBy" 2022-04-13 05:22:22 normalization > 05:05:25.922679 [debug] [Thread-3 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:05:25.922860 [debug] [Thread-3 ]: Began executing node model.airbyte_utils.email_events_sentBy 2022-04-13 05:22:22 normalization > 05:05:25.969909 [debug] [Thread-3 ]: On model.airbyte_utils.email_events_sentBy: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.email_events_sentBy"} */ 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > create or replace table `mansagroup-datascience`.hubspot_.`email_events_sentBy__dbt_tmp` 2022-04-13 05:22:22 normalization > partition by timestamp_trunc(_airbyte_emitted_at, day) 2022-04-13 05:22:22 normalization > cluster by _airbyte_emitted_at 2022-04-13 05:22:22 normalization > OPTIONS( 2022-04-13 05:22:22 normalization > expiration_timestamp=TIMESTAMP_ADD(CURRENT_TIMESTAMP(), INTERVAL 12 hour) 2022-04-13 05:22:22 normalization > ) 2022-04-13 05:22:22 normalization > as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > with __dbt__cte__email_events_sentBy_ab1 as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema 2022-04-13 05:22:22 normalization > -- depends_on: `mansagroup-datascience`.hubspot_.`email_events` 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > _airbyte_email_events_hashid, 2022-04-13 05:22:22 normalization > json_extract_scalar(sentBy, "$['id']") as id, 2022-04-13 05:22:22 normalization > json_extract_scalar(sentBy, "$['created']") as created, 2022-04-13 05:22:22 normalization > _airbyte_ab_id, 2022-04-13 05:22:22 normalization > _airbyte_emitted_at, 2022-04-13 05:22:22 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:22 normalization > from `mansagroup-datascience`.hubspot_.`email_events` as table_alias 2022-04-13 05:22:22 normalization > -- sentBy at email_events/sentBy 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > and sentBy is not null 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > ), __dbt__cte__email_events_sentBy_ab2 as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type 2022-04-13 05:22:22 normalization > -- depends_on: __dbt__cte__email_events_sentBy_ab1 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > _airbyte_email_events_hashid, 2022-04-13 05:22:22 normalization > cast(id as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as id, 2022-04-13 05:22:22 normalization > cast(created as 2022-04-13 05:22:22 normalization > int64 2022-04-13 05:22:22 normalization > ) as created, 2022-04-13 05:22:22 normalization > _airbyte_ab_id, 2022-04-13 05:22:22 normalization > _airbyte_emitted_at, 2022-04-13 05:22:22 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:22 normalization > from __dbt__cte__email_events_sentBy_ab1 2022-04-13 05:22:22 normalization > -- sentBy at email_events/sentBy 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > ), __dbt__cte__email_events_sentBy_ab3 as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > -- SQL model to build a hash column based on the values of this record 2022-04-13 05:22:22 normalization > -- depends_on: __dbt__cte__email_events_sentBy_ab2 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > to_hex(md5(cast(concat(coalesce(cast(_airbyte_email_events_hashid as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(id as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(created as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), '')) as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ))) as _airbyte_sentBy_hashid, 2022-04-13 05:22:22 normalization > tmp.* 2022-04-13 05:22:22 normalization > from __dbt__cte__email_events_sentBy_ab2 tmp 2022-04-13 05:22:22 normalization > -- sentBy at email_events/sentBy 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > )-- Final base SQL model 2022-04-13 05:22:22 normalization > -- depends_on: __dbt__cte__email_events_sentBy_ab3 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > _airbyte_email_events_hashid, 2022-04-13 05:22:22 normalization > id, 2022-04-13 05:22:22 normalization > created, 2022-04-13 05:22:22 normalization > _airbyte_ab_id, 2022-04-13 05:22:22 normalization > _airbyte_emitted_at, 2022-04-13 05:22:22 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at, 2022-04-13 05:22:22 normalization > _airbyte_sentBy_hashid 2022-04-13 05:22:22 normalization > from __dbt__cte__email_events_sentBy_ab3 2022-04-13 05:22:22 normalization > -- sentBy at email_events/sentBy from `mansagroup-datascience`.hubspot_.`email_events` 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > and coalesce( 2022-04-13 05:22:22 normalization > cast(_airbyte_emitted_at as 2022-04-13 05:22:22 normalization > timestamp 2022-04-13 05:22:22 normalization > ) >= (select max(cast(_airbyte_emitted_at as 2022-04-13 05:22:22 normalization > timestamp 2022-04-13 05:22:22 normalization > )) from `mansagroup-datascience`.hubspot_.`email_events_sentBy`), 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > true) 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > ); 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 05:05:31.791827 [debug] [Thread-3 ]: 2022-04-13 05:22:22 normalization > In `mansagroup-datascience`.`hubspot_`.`email_events_sentBy`: 2022-04-13 05:22:22 normalization > Schema changed: False 2022-04-13 05:22:22 normalization > Source columns not in target: [] 2022-04-13 05:22:22 normalization > Target columns not in source: [] 2022-04-13 05:22:22 normalization > New column types: [] 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 05:05:31.792846 [debug] [Thread-3 ]: Writing runtime SQL for node "model.airbyte_utils.email_events_sentBy" 2022-04-13 05:22:22 normalization > 05:05:31.793239 [debug] [Thread-3 ]: On model.airbyte_utils.email_events_sentBy: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.email_events_sentBy"} */ 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > merge into `mansagroup-datascience`.hubspot_.`email_events_sentBy` as DBT_INTERNAL_DEST 2022-04-13 05:22:22 normalization > using ( 2022-04-13 05:22:22 normalization > select * from `mansagroup-datascience`.hubspot_.`email_events_sentBy__dbt_tmp` 2022-04-13 05:22:22 normalization > ) as DBT_INTERNAL_SOURCE 2022-04-13 05:22:22 normalization > on FALSE 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > when not matched then insert 2022-04-13 05:22:22 normalization > (`_airbyte_email_events_hashid`, `id`, `created`, `_airbyte_ab_id`, `_airbyte_emitted_at`, `_airbyte_normalized_at`, `_airbyte_sentBy_hashid`) 2022-04-13 05:22:22 normalization > values 2022-04-13 05:22:22 normalization > (`_airbyte_email_events_hashid`, `id`, `created`, `_airbyte_ab_id`, `_airbyte_emitted_at`, `_airbyte_normalized_at`, `_airbyte_sentBy_hashid`) 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 05:05:32.941656 [debug] [Thread-6 ]: 2022-04-13 05:22:22 normalization > In `mansagroup-datascience`.`hubspot_`.`engagements_notes_properties`: 2022-04-13 05:22:22 normalization > Schema changed: False 2022-04-13 05:22:22 normalization > Source columns not in target: [] 2022-04-13 05:22:22 normalization > Target columns not in source: [] 2022-04-13 05:22:22 normalization > New column types: [] 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 05:05:32.943124 [debug] [Thread-6 ]: Writing runtime SQL for node "model.airbyte_utils.engagements_notes_properties" 2022-04-13 05:22:22 normalization > 05:05:32.943516 [debug] [Thread-6 ]: On model.airbyte_utils.engagements_notes_properties: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.engagements_notes_properties"} */ 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > merge into `mansagroup-datascience`.hubspot_.`engagements_notes_properties` as DBT_INTERNAL_DEST 2022-04-13 05:22:22 normalization > using ( 2022-04-13 05:22:22 normalization > select * from `mansagroup-datascience`.hubspot_.`engagements_notes_properties__dbt_tmp` 2022-04-13 05:22:22 normalization > ) as DBT_INTERNAL_SOURCE 2022-04-13 05:22:22 normalization > on FALSE 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > when not matched then insert 2022-04-13 05:22:22 normalization > (`_airbyte_engagements_notes_hashid`, `hs_note_body`, `hs_object_id`, `hs_timestamp`, `hs_unique_id`, `hs_created_by`, `hs_createdate`, `hs_modified_by`, `hs_all_team_ids`, `hs_body_preview`, `hs_gdpr_deleted`, `hs_product_name`, `hubspot_team_id`, `hs_all_owner_ids`, `hubspot_owner_id`, `hs_attachment_ids`, `hs_follow_up_action`, `hs_lastmodifieddate`, `hs_body_preview_html`, `hs_engagement_source`, `hs_merged_object_ids`, `hs_created_by_user_id`, `hs_updated_by_user_id`, `hs_unique_creation_key`, `hs_engagement_source_id`, `hs_queue_membership_ids`, `hs_at_mentioned_owner_ids`, `hs_user_ids_of_all_owners`, `hs_all_accessible_team_ids`, `hubspot_owner_assigneddate`, `hs_body_preview_is_truncated`, `hs_all_assigned_business_unit_ids`, `hs_user_ids_of_all_notification_followers`, `hs_user_ids_of_all_notification_unfollowers`, `_airbyte_ab_id`, `_airbyte_emitted_at`, `_airbyte_normalized_at`, `_airbyte_properties_hashid`) 2022-04-13 05:22:22 normalization > values 2022-04-13 05:22:22 normalization > (`_airbyte_engagements_notes_hashid`, `hs_note_body`, `hs_object_id`, `hs_timestamp`, `hs_unique_id`, `hs_created_by`, `hs_createdate`, `hs_modified_by`, `hs_all_team_ids`, `hs_body_preview`, `hs_gdpr_deleted`, `hs_product_name`, `hubspot_team_id`, `hs_all_owner_ids`, `hubspot_owner_id`, `hs_attachment_ids`, `hs_follow_up_action`, `hs_lastmodifieddate`, `hs_body_preview_html`, `hs_engagement_source`, `hs_merged_object_ids`, `hs_created_by_user_id`, `hs_updated_by_user_id`, `hs_unique_creation_key`, `hs_engagement_source_id`, `hs_queue_membership_ids`, `hs_at_mentioned_owner_ids`, `hs_user_ids_of_all_owners`, `hs_all_accessible_team_ids`, `hubspot_owner_assigneddate`, `hs_body_preview_is_truncated`, `hs_all_assigned_business_unit_ids`, `hs_user_ids_of_all_notification_followers`, `hs_user_ids_of_all_notification_unfollowers`, `_airbyte_ab_id`, `_airbyte_emitted_at`, `_airbyte_normalized_at`, `_airbyte_properties_hashid`) 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 05:05:35.379120 [debug] [Thread-2 ]: 2022-04-13 05:22:22 normalization > In `mansagroup-datascience`.`hubspot_`.`engagements_calls_properties`: 2022-04-13 05:22:22 normalization > Schema changed: False 2022-04-13 05:22:22 normalization > Source columns not in target: [] 2022-04-13 05:22:22 normalization > Target columns not in source: [] 2022-04-13 05:22:22 normalization > New column types: [] 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 05:05:35.381056 [debug] [Thread-2 ]: Writing runtime SQL for node "model.airbyte_utils.engagements_calls_properties" 2022-04-13 05:22:22 normalization > 05:05:35.381447 [debug] [Thread-2 ]: On model.airbyte_utils.engagements_calls_properties: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.engagements_calls_properties"} */ 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > merge into `mansagroup-datascience`.hubspot_.`engagements_calls_properties` as DBT_INTERNAL_DEST 2022-04-13 05:22:22 normalization > using ( 2022-04-13 05:22:22 normalization > select * from `mansagroup-datascience`.hubspot_.`engagements_calls_properties__dbt_tmp` 2022-04-13 05:22:22 normalization > ) as DBT_INTERNAL_SOURCE 2022-04-13 05:22:22 normalization > on FALSE 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > when not matched then insert 2022-04-13 05:22:22 normalization > (`_airbyte_engagements_calls_hashid`, `hs_call_body`, `hs_object_id`, `hs_timestamp`, `hs_unique_id`, `hs_call_title`, `hs_created_by`, `hs_createdate`, `hs_call_app_id`, `hs_call_source`, `hs_call_status`, `hs_modified_by`, `hs_all_team_ids`, `hs_body_preview`, `hs_gdpr_deleted`, `hs_product_name`, `hubspot_team_id`, `hs_activity_type`, `hs_all_owner_ids`, `hs_call_duration`, `hubspot_owner_id`, `hs_attachment_ids`, `hs_call_to_number`, `hs_call_disposition`, `hs_call_external_id`, `hs_call_from_number`, `hs_follow_up_action`, `hs_lastmodifieddate`, `hs_body_preview_html`, `hs_engagement_source`, `hs_merged_object_ids`, `hs_call_recording_url`, `hs_created_by_user_id`, `hs_updated_by_user_id`, `hs_call_has_transcript`, `hs_unique_creation_key`, `hs_engagement_source_id`, `hs_queue_membership_ids`, `hs_call_callee_object_id`, `hs_call_transcription_id`, `hs_calls_service_call_id`, `hs_at_mentioned_owner_ids`, `hs_call_zoom_meeting_uuid`, `hs_user_ids_of_all_owners`, `hs_all_accessible_team_ids`, `hs_call_callee_object_type`, `hubspot_owner_assigneddate`, `hs_call_authed_url_provider`, `hs_call_external_account_id`, `hs_call_video_recording_url`, `hs_body_preview_is_truncated`, `hs_unknown_visitor_conversation`, `hs_call_transcript_tracked_terms`, `hs_all_assigned_business_unit_ids`, `hs_user_ids_of_all_notification_followers`, `hs_user_ids_of_all_notification_unfollowers`, `_airbyte_ab_id`, `_airbyte_emitted_at`, `_airbyte_normalized_at`, `_airbyte_properties_hashid`) 2022-04-13 05:22:22 normalization > values 2022-04-13 05:22:22 normalization > (`_airbyte_engagements_calls_hashid`, `hs_call_body`, `hs_object_id`, `hs_timestamp`, `hs_unique_id`, `hs_call_title`, `hs_created_by`, `hs_createdate`, `hs_call_app_id`, `hs_call_source`, `hs_call_status`, `hs_modified_by`, `hs_all_team_ids`, `hs_body_preview`, `hs_gdpr_deleted`, `hs_product_name`, `hubspot_team_id`, `hs_activity_type`, `hs_all_owner_ids`, `hs_call_duration`, `hubspot_owner_id`, `hs_attachment_ids`, `hs_call_to_number`, `hs_call_disposition`, `hs_call_external_id`, `hs_call_from_number`, `hs_follow_up_action`, `hs_lastmodifieddate`, `hs_body_preview_html`, `hs_engagement_source`, `hs_merged_object_ids`, `hs_call_recording_url`, `hs_created_by_user_id`, `hs_updated_by_user_id`, `hs_call_has_transcript`, `hs_unique_creation_key`, `hs_engagement_source_id`, `hs_queue_membership_ids`, `hs_call_callee_object_id`, `hs_call_transcription_id`, `hs_calls_service_call_id`, `hs_at_mentioned_owner_ids`, `hs_call_zoom_meeting_uuid`, `hs_user_ids_of_all_owners`, `hs_all_accessible_team_ids`, `hs_call_callee_object_type`, `hubspot_owner_assigneddate`, `hs_call_authed_url_provider`, `hs_call_external_account_id`, `hs_call_video_recording_url`, `hs_body_preview_is_truncated`, `hs_unknown_visitor_conversation`, `hs_call_transcript_tracked_terms`, `hs_all_assigned_business_unit_ids`, `hs_user_ids_of_all_notification_followers`, `hs_user_ids_of_all_notification_unfollowers`, `_airbyte_ab_id`, `_airbyte_emitted_at`, `_airbyte_normalized_at`, `_airbyte_properties_hashid`) 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 05:05:36.848045 [debug] [Thread-3 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:05:36.848721 [info ] [Thread-3 ]: 67 of 77 OK created incremental model hubspot_.email_events_sentBy...................................................... [MERGE (217.9k rows, 34.9 MB processed) in 11.06s] 2022-04-13 05:22:22 normalization > 05:05:36.849153 [debug] [Thread-3 ]: Finished running node model.airbyte_utils.email_events_sentBy 2022-04-13 05:22:22 normalization > 05:05:36.849380 [debug] [Thread-3 ]: Began running node model.airbyte_utils.engagements_associations_ab1 2022-04-13 05:22:22 normalization > 05:05:36.849892 [debug] [Thread-3 ]: Acquiring new bigquery connection "model.airbyte_utils.engagements_associations_ab1" 2022-04-13 05:22:22 normalization > 05:05:36.850074 [debug] [Thread-3 ]: Began compiling node model.airbyte_utils.engagements_associations_ab1 2022-04-13 05:22:22 normalization > 05:05:36.850260 [debug] [Thread-3 ]: Compiling model.airbyte_utils.engagements_associations_ab1 2022-04-13 05:22:22 normalization > 05:05:36.859661 [debug] [Thread-3 ]: On "model.airbyte_utils.engagements_associations_ab1": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:22 normalization > 05:05:36.859860 [debug] [Thread-3 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:22 normalization > 05:05:37.209220 [debug] [Thread-3 ]: Writing injected SQL for node "model.airbyte_utils.engagements_associations_ab1" 2022-04-13 05:22:22 normalization > 05:05:37.209679 [debug] [Thread-3 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:05:37.210169 [debug] [Thread-3 ]: Finished running node model.airbyte_utils.engagements_associations_ab1 2022-04-13 05:22:22 normalization > 05:05:37.210445 [debug] [Thread-3 ]: Began running node model.airbyte_utils.engagements_attachments_ab1 2022-04-13 05:22:22 normalization > 05:05:37.210980 [debug] [Thread-3 ]: Acquiring new bigquery connection "model.airbyte_utils.engagements_attachments_ab1" 2022-04-13 05:22:22 normalization > 05:05:37.211312 [debug] [Thread-3 ]: Began compiling node model.airbyte_utils.engagements_attachments_ab1 2022-04-13 05:22:22 normalization > 05:05:37.211519 [debug] [Thread-3 ]: Compiling model.airbyte_utils.engagements_attachments_ab1 2022-04-13 05:22:22 normalization > 05:05:37.218850 [debug] [Thread-3 ]: On "model.airbyte_utils.engagements_attachments_ab1": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:22 normalization > 05:05:37.219053 [debug] [Thread-3 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:22 normalization > 05:05:37.545081 [debug] [Thread-3 ]: Writing injected SQL for node "model.airbyte_utils.engagements_attachments_ab1" 2022-04-13 05:22:22 normalization > 05:05:37.545522 [debug] [Thread-3 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:05:37.545997 [debug] [Thread-3 ]: Finished running node model.airbyte_utils.engagements_attachments_ab1 2022-04-13 05:22:22 normalization > 05:05:37.546277 [debug] [Thread-3 ]: Began running node model.airbyte_utils.engagements_metadata_ab1 2022-04-13 05:22:22 normalization > 05:05:37.546949 [debug] [Thread-3 ]: Acquiring new bigquery connection "model.airbyte_utils.engagements_metadata_ab1" 2022-04-13 05:22:22 normalization > 05:05:37.547154 [debug] [Thread-3 ]: Began compiling node model.airbyte_utils.engagements_metadata_ab1 2022-04-13 05:22:22 normalization > 05:05:37.547343 [debug] [Thread-3 ]: Compiling model.airbyte_utils.engagements_metadata_ab1 2022-04-13 05:22:22 normalization > 05:05:37.591403 [debug] [Thread-3 ]: On "model.airbyte_utils.engagements_metadata_ab1": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:22 normalization > 05:05:37.591613 [debug] [Thread-3 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:22 normalization > 05:05:37.880125 [debug] [Thread-3 ]: Writing injected SQL for node "model.airbyte_utils.engagements_metadata_ab1" 2022-04-13 05:22:22 normalization > 05:05:37.880553 [debug] [Thread-3 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:05:37.881017 [debug] [Thread-3 ]: Finished running node model.airbyte_utils.engagements_metadata_ab1 2022-04-13 05:22:22 normalization > 05:05:37.881297 [debug] [Thread-3 ]: Began running node model.airbyte_utils.marketing_emails_stats_deviceBreakdown_click_device_type_ab2 2022-04-13 05:22:22 normalization > 05:05:37.881952 [debug] [Thread-3 ]: Acquiring new bigquery connection "model.airbyte_utils.marketing_emails_stats_deviceBreakdown_click_device_type_ab2" 2022-04-13 05:22:22 normalization > 05:05:37.882176 [debug] [Thread-3 ]: Began compiling node model.airbyte_utils.marketing_emails_stats_deviceBreakdown_click_device_type_ab2 2022-04-13 05:22:22 normalization > 05:05:37.882360 [debug] [Thread-3 ]: Compiling model.airbyte_utils.marketing_emails_stats_deviceBreakdown_click_device_type_ab2 2022-04-13 05:22:22 normalization > 05:05:37.895150 [debug] [Thread-3 ]: Writing injected SQL for node "model.airbyte_utils.marketing_emails_stats_deviceBreakdown_click_device_type_ab2" 2022-04-13 05:22:22 normalization > 05:05:37.895479 [debug] [Thread-3 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:05:37.895842 [debug] [Thread-3 ]: Finished running node model.airbyte_utils.marketing_emails_stats_deviceBreakdown_click_device_type_ab2 2022-04-13 05:22:22 normalization > 05:05:37.896057 [debug] [Thread-3 ]: Began running node model.airbyte_utils.marketing_emails_stats_deviceBreakdown_open_device_type_ab2 2022-04-13 05:22:22 normalization > 05:05:37.896503 [debug] [Thread-3 ]: Acquiring new bigquery connection "model.airbyte_utils.marketing_emails_stats_deviceBreakdown_open_device_type_ab2" 2022-04-13 05:22:22 normalization > 05:05:37.896800 [debug] [Thread-3 ]: Began compiling node model.airbyte_utils.marketing_emails_stats_deviceBreakdown_open_device_type_ab2 2022-04-13 05:22:22 normalization > 05:05:37.896968 [debug] [Thread-3 ]: Compiling model.airbyte_utils.marketing_emails_stats_deviceBreakdown_open_device_type_ab2 2022-04-13 05:22:22 normalization > 05:05:37.906870 [debug] [Thread-3 ]: Writing injected SQL for node "model.airbyte_utils.marketing_emails_stats_deviceBreakdown_open_device_type_ab2" 2022-04-13 05:22:22 normalization > 05:05:37.907252 [debug] [Thread-3 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:05:37.907630 [debug] [Thread-3 ]: Finished running node model.airbyte_utils.marketing_emails_stats_deviceBreakdown_open_device_type_ab2 2022-04-13 05:22:22 normalization > 05:05:37.907843 [debug] [Thread-3 ]: Began running node model.airbyte_utils.engagements_associations_ab2 2022-04-13 05:22:22 normalization > 05:05:37.908267 [debug] [Thread-3 ]: Acquiring new bigquery connection "model.airbyte_utils.engagements_associations_ab2" 2022-04-13 05:22:22 normalization > 05:05:37.908518 [debug] [Thread-3 ]: Began compiling node model.airbyte_utils.engagements_associations_ab2 2022-04-13 05:22:22 normalization > 05:05:37.908675 [debug] [Thread-3 ]: Compiling model.airbyte_utils.engagements_associations_ab2 2022-04-13 05:22:22 normalization > 05:05:37.913532 [debug] [Thread-3 ]: On "model.airbyte_utils.engagements_associations_ab2": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:22 normalization > 05:05:37.913746 [debug] [Thread-3 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:22 normalization > 05:05:37.975595 [debug] [Thread-6 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:05:37.976370 [info ] [Thread-6 ]: 60 of 77 OK created incremental model hubspot_.engagements_notes_properties............................................. [MERGE (76.1k rows, 154.0 MB processed) in 67.77s] 2022-04-13 05:22:22 normalization > 05:05:37.976896 [debug] [Thread-6 ]: Finished running node model.airbyte_utils.engagements_notes_properties 2022-04-13 05:22:22 normalization > 05:05:37.977093 [debug] [Thread-6 ]: Began running node model.airbyte_utils.engagements_attachments_ab2 2022-04-13 05:22:22 normalization > 05:05:37.977554 [debug] [Thread-6 ]: Acquiring new bigquery connection "model.airbyte_utils.engagements_attachments_ab2" 2022-04-13 05:22:22 normalization > 05:05:37.977733 [debug] [Thread-6 ]: Began compiling node model.airbyte_utils.engagements_attachments_ab2 2022-04-13 05:22:22 normalization > 05:05:37.977885 [debug] [Thread-6 ]: Compiling model.airbyte_utils.engagements_attachments_ab2 2022-04-13 05:22:22 normalization > 05:05:37.983015 [debug] [Thread-6 ]: On "model.airbyte_utils.engagements_attachments_ab2": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:22 normalization > 05:05:37.983231 [debug] [Thread-6 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:22 normalization > 05:05:38.239588 [debug] [Thread-3 ]: Writing injected SQL for node "model.airbyte_utils.engagements_associations_ab2" 2022-04-13 05:22:22 normalization > 05:05:38.243664 [debug] [Thread-6 ]: Writing injected SQL for node "model.airbyte_utils.engagements_attachments_ab2" 2022-04-13 05:22:22 normalization > 05:05:38.244041 [debug] [Thread-3 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:05:38.244579 [debug] [Thread-3 ]: Finished running node model.airbyte_utils.engagements_associations_ab2 2022-04-13 05:22:22 normalization > 05:05:38.244880 [debug] [Thread-3 ]: Began running node model.airbyte_utils.engagements_metadata_ab2 2022-04-13 05:22:22 normalization > 05:05:38.245266 [debug] [Thread-6 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:05:38.245652 [debug] [Thread-3 ]: Acquiring new bigquery connection "model.airbyte_utils.engagements_metadata_ab2" 2022-04-13 05:22:22 normalization > 05:05:38.246282 [debug] [Thread-6 ]: Finished running node model.airbyte_utils.engagements_attachments_ab2 2022-04-13 05:22:22 normalization > 05:05:38.246510 [debug] [Thread-3 ]: Began compiling node model.airbyte_utils.engagements_metadata_ab2 2022-04-13 05:22:22 normalization > 05:05:38.246768 [debug] [Thread-6 ]: Began running node model.airbyte_utils.marketing_emails_stats_deviceBreakdown_click_device_type_ab3 2022-04-13 05:22:22 normalization > 05:05:38.247078 [debug] [Thread-3 ]: Compiling model.airbyte_utils.engagements_metadata_ab2 2022-04-13 05:22:22 normalization > 05:05:38.247524 [debug] [Thread-6 ]: Acquiring new bigquery connection "model.airbyte_utils.marketing_emails_stats_deviceBreakdown_click_device_type_ab3" 2022-04-13 05:22:22 normalization > 05:05:38.258040 [debug] [Thread-6 ]: Began compiling node model.airbyte_utils.marketing_emails_stats_deviceBreakdown_click_device_type_ab3 2022-04-13 05:22:22 normalization > 05:05:38.263371 [debug] [Thread-6 ]: Compiling model.airbyte_utils.marketing_emails_stats_deviceBreakdown_click_device_type_ab3 2022-04-13 05:22:22 normalization > 05:05:38.268596 [debug] [Thread-3 ]: On "model.airbyte_utils.engagements_metadata_ab2": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:22 normalization > 05:05:38.279093 [debug] [Thread-3 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:22 normalization > 05:05:38.281421 [debug] [Thread-6 ]: Writing injected SQL for node "model.airbyte_utils.marketing_emails_stats_deviceBreakdown_click_device_type_ab3" 2022-04-13 05:22:22 normalization > 05:05:38.281877 [debug] [Thread-6 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:05:38.282271 [debug] [Thread-6 ]: Finished running node model.airbyte_utils.marketing_emails_stats_deviceBreakdown_click_device_type_ab3 2022-04-13 05:22:22 normalization > 05:05:38.282490 [debug] [Thread-6 ]: Began running node model.airbyte_utils.marketing_emails_stats_deviceBreakdown_open_device_type_ab3 2022-04-13 05:22:22 normalization > 05:05:38.282992 [debug] [Thread-6 ]: Acquiring new bigquery connection "model.airbyte_utils.marketing_emails_stats_deviceBreakdown_open_device_type_ab3" 2022-04-13 05:22:22 normalization > 05:05:38.283280 [debug] [Thread-6 ]: Began compiling node model.airbyte_utils.marketing_emails_stats_deviceBreakdown_open_device_type_ab3 2022-04-13 05:22:22 normalization > 05:05:38.283475 [debug] [Thread-6 ]: Compiling model.airbyte_utils.marketing_emails_stats_deviceBreakdown_open_device_type_ab3 2022-04-13 05:22:22 normalization > 05:05:38.296252 [debug] [Thread-6 ]: Writing injected SQL for node "model.airbyte_utils.marketing_emails_stats_deviceBreakdown_open_device_type_ab3" 2022-04-13 05:22:22 normalization > 05:05:38.297051 [debug] [Thread-6 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:05:38.297442 [debug] [Thread-6 ]: Finished running node model.airbyte_utils.marketing_emails_stats_deviceBreakdown_open_device_type_ab3 2022-04-13 05:22:22 normalization > 05:05:38.297658 [debug] [Thread-6 ]: Began running node model.airbyte_utils.engagements_associations_ab3 2022-04-13 05:22:22 normalization > 05:05:38.299551 [debug] [Thread-6 ]: Acquiring new bigquery connection "model.airbyte_utils.engagements_associations_ab3" 2022-04-13 05:22:22 normalization > 05:05:38.299854 [debug] [Thread-6 ]: Began compiling node model.airbyte_utils.engagements_associations_ab3 2022-04-13 05:22:22 normalization > 05:05:38.300049 [debug] [Thread-6 ]: Compiling model.airbyte_utils.engagements_associations_ab3 2022-04-13 05:22:22 normalization > 05:05:38.415874 [debug] [Thread-6 ]: On "model.airbyte_utils.engagements_associations_ab3": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:22 normalization > 05:05:38.418026 [debug] [Thread-6 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:22 normalization > 05:05:38.688592 [debug] [Thread-6 ]: Writing injected SQL for node "model.airbyte_utils.engagements_associations_ab3" 2022-04-13 05:22:22 normalization > 05:05:38.689012 [debug] [Thread-6 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:05:38.689539 [debug] [Thread-6 ]: Finished running node model.airbyte_utils.engagements_associations_ab3 2022-04-13 05:22:22 normalization > 05:05:38.689778 [debug] [Thread-6 ]: Began running node model.airbyte_utils.engagements_attachments_ab3 2022-04-13 05:22:22 normalization > 05:05:38.690314 [debug] [Thread-6 ]: Acquiring new bigquery connection "model.airbyte_utils.engagements_attachments_ab3" 2022-04-13 05:22:22 normalization > 05:05:38.690598 [debug] [Thread-6 ]: Began compiling node model.airbyte_utils.engagements_attachments_ab3 2022-04-13 05:22:22 normalization > 05:05:38.691037 [debug] [Thread-6 ]: Compiling model.airbyte_utils.engagements_attachments_ab3 2022-04-13 05:22:22 normalization > 05:05:38.697710 [debug] [Thread-6 ]: On "model.airbyte_utils.engagements_attachments_ab3": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:22 normalization > 05:05:38.697913 [debug] [Thread-6 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:22 normalization > 05:05:38.742154 [debug] [Thread-3 ]: Writing injected SQL for node "model.airbyte_utils.engagements_metadata_ab2" 2022-04-13 05:22:22 normalization > 05:05:38.742534 [debug] [Thread-3 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:05:38.742906 [debug] [Thread-3 ]: Finished running node model.airbyte_utils.engagements_metadata_ab2 2022-04-13 05:22:22 normalization > 05:05:38.743383 [debug] [Thread-3 ]: Began running node model.airbyte_utils.marketing_emails_stats_deviceBreakdown_click_device_type 2022-04-13 05:22:22 normalization > 05:05:38.743711 [info ] [Thread-3 ]: 68 of 77 START table model hubspot_.marketing_emails_stats_deviceBreakdown_click_device_type............................ [RUN] 2022-04-13 05:22:22 normalization > 05:05:38.744558 [debug] [Thread-3 ]: Acquiring new bigquery connection "model.airbyte_utils.marketing_emails_stats_deviceBreakdown_click_device_type" 2022-04-13 05:22:22 normalization > 05:05:38.744760 [debug] [Thread-3 ]: Began compiling node model.airbyte_utils.marketing_emails_stats_deviceBreakdown_click_device_type 2022-04-13 05:22:22 normalization > 05:05:38.744917 [debug] [Thread-3 ]: Compiling model.airbyte_utils.marketing_emails_stats_deviceBreakdown_click_device_type 2022-04-13 05:22:22 normalization > 05:05:38.752763 [debug] [Thread-3 ]: Writing injected SQL for node "model.airbyte_utils.marketing_emails_stats_deviceBreakdown_click_device_type" 2022-04-13 05:22:22 normalization > 05:05:38.753732 [debug] [Thread-3 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:05:38.755314 [debug] [Thread-3 ]: Began executing node model.airbyte_utils.marketing_emails_stats_deviceBreakdown_click_device_type 2022-04-13 05:22:22 normalization > 05:05:38.759418 [debug] [Thread-3 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:22 normalization > 05:05:38.849006 [debug] [Thread-3 ]: Writing runtime SQL for node "model.airbyte_utils.marketing_emails_stats_deviceBreakdown_click_device_type" 2022-04-13 05:22:22 normalization > 05:05:38.849389 [debug] [Thread-3 ]: On model.airbyte_utils.marketing_emails_stats_deviceBreakdown_click_device_type: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.marketing_emails_stats_deviceBreakdown_click_device_type"} */ 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > create or replace table `mansagroup-datascience`.hubspot_.`marketing_emails_stats_deviceBreakdown_click_device_type` 2022-04-13 05:22:22 normalization > partition by timestamp_trunc(_airbyte_emitted_at, day) 2022-04-13 05:22:22 normalization > cluster by _airbyte_emitted_at 2022-04-13 05:22:22 normalization > OPTIONS() 2022-04-13 05:22:22 normalization > as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > with __dbt__cte__marketing_emails_stats_deviceBreakdown_click_device_type_ab1 as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema 2022-04-13 05:22:22 normalization > -- depends_on: `mansagroup-datascience`.hubspot_.`marketing_emails_stats_deviceBreakdown` 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > _airbyte_deviceBreakdown_hashid, 2022-04-13 05:22:22 normalization > json_extract_scalar(click_device_type, "$['mobile']") as mobile, 2022-04-13 05:22:22 normalization > json_extract_scalar(click_device_type, "$['unknown']") as unknown, 2022-04-13 05:22:22 normalization > json_extract_scalar(click_device_type, "$['computer']") as computer, 2022-04-13 05:22:22 normalization > _airbyte_ab_id, 2022-04-13 05:22:22 normalization > _airbyte_emitted_at, 2022-04-13 05:22:22 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:22 normalization > from `mansagroup-datascience`.hubspot_.`marketing_emails_stats_deviceBreakdown` as table_alias 2022-04-13 05:22:22 normalization > -- click_device_type at marketing_emails/stats/deviceBreakdown/click_device_type 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > and click_device_type is not null 2022-04-13 05:22:22 normalization > ), __dbt__cte__marketing_emails_stats_deviceBreakdown_click_device_type_ab2 as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type 2022-04-13 05:22:22 normalization > -- depends_on: __dbt__cte__marketing_emails_stats_deviceBreakdown_click_device_type_ab1 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > _airbyte_deviceBreakdown_hashid, 2022-04-13 05:22:22 normalization > cast(mobile as 2022-04-13 05:22:22 normalization > int64 2022-04-13 05:22:22 normalization > ) as mobile, 2022-04-13 05:22:22 normalization > cast(unknown as 2022-04-13 05:22:22 normalization > int64 2022-04-13 05:22:22 normalization > ) as unknown, 2022-04-13 05:22:22 normalization > cast(computer as 2022-04-13 05:22:22 normalization > int64 2022-04-13 05:22:22 normalization > ) as computer, 2022-04-13 05:22:22 normalization > _airbyte_ab_id, 2022-04-13 05:22:22 normalization > _airbyte_emitted_at, 2022-04-13 05:22:22 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:22 normalization > from __dbt__cte__marketing_emails_stats_deviceBreakdown_click_device_type_ab1 2022-04-13 05:22:22 normalization > -- click_device_type at marketing_emails/stats/deviceBreakdown/click_device_type 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > ), __dbt__cte__marketing_emails_stats_deviceBreakdown_click_device_type_ab3 as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > -- SQL model to build a hash column based on the values of this record 2022-04-13 05:22:22 normalization > -- depends_on: __dbt__cte__marketing_emails_stats_deviceBreakdown_click_device_type_ab2 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > to_hex(md5(cast(concat(coalesce(cast(_airbyte_deviceBreakdown_hashid as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(mobile as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(unknown as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(computer as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), '')) as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ))) as _airbyte_click_device_type_hashid, 2022-04-13 05:22:22 normalization > tmp.* 2022-04-13 05:22:22 normalization > from __dbt__cte__marketing_emails_stats_deviceBreakdown_click_device_type_ab2 tmp 2022-04-13 05:22:22 normalization > -- click_device_type at marketing_emails/stats/deviceBreakdown/click_device_type 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > )-- Final base SQL model 2022-04-13 05:22:22 normalization > -- depends_on: __dbt__cte__marketing_emails_stats_deviceBreakdown_click_device_type_ab3 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > _airbyte_deviceBreakdown_hashid, 2022-04-13 05:22:22 normalization > mobile, 2022-04-13 05:22:22 normalization > unknown, 2022-04-13 05:22:22 normalization > computer, 2022-04-13 05:22:22 normalization > _airbyte_ab_id, 2022-04-13 05:22:22 normalization > _airbyte_emitted_at, 2022-04-13 05:22:22 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at, 2022-04-13 05:22:22 normalization > _airbyte_click_device_type_hashid 2022-04-13 05:22:22 normalization > from __dbt__cte__marketing_emails_stats_deviceBreakdown_click_device_type_ab3 2022-04-13 05:22:22 normalization > -- click_device_type at marketing_emails/stats/deviceBreakdown/click_device_type from `mansagroup-datascience`.hubspot_.`marketing_emails_stats_deviceBreakdown` 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > ); 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 05:05:39.031373 [debug] [Thread-6 ]: Writing injected SQL for node "model.airbyte_utils.engagements_attachments_ab3" 2022-04-13 05:22:22 normalization > 05:05:39.031733 [debug] [Thread-6 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:05:39.032154 [debug] [Thread-6 ]: Finished running node model.airbyte_utils.engagements_attachments_ab3 2022-04-13 05:22:22 normalization > 05:05:39.032410 [debug] [Thread-6 ]: Began running node model.airbyte_utils.marketing_emails_stats_deviceBreakdown_open_device_type 2022-04-13 05:22:22 normalization > 05:05:39.032838 [info ] [Thread-6 ]: 69 of 77 START table model hubspot_.marketing_emails_stats_deviceBreakdown_open_device_type............................. [RUN] 2022-04-13 05:22:22 normalization > 05:05:39.033584 [debug] [Thread-6 ]: Acquiring new bigquery connection "model.airbyte_utils.marketing_emails_stats_deviceBreakdown_open_device_type" 2022-04-13 05:22:22 normalization > 05:05:39.033774 [debug] [Thread-6 ]: Began compiling node model.airbyte_utils.marketing_emails_stats_deviceBreakdown_open_device_type 2022-04-13 05:22:22 normalization > 05:05:39.033934 [debug] [Thread-6 ]: Compiling model.airbyte_utils.marketing_emails_stats_deviceBreakdown_open_device_type 2022-04-13 05:22:22 normalization > 05:05:39.043977 [debug] [Thread-6 ]: Writing injected SQL for node "model.airbyte_utils.marketing_emails_stats_deviceBreakdown_open_device_type" 2022-04-13 05:22:22 normalization > 05:05:39.044343 [debug] [Thread-6 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:05:39.044521 [debug] [Thread-6 ]: Began executing node model.airbyte_utils.marketing_emails_stats_deviceBreakdown_open_device_type 2022-04-13 05:22:22 normalization > 05:05:39.048623 [debug] [Thread-6 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:22 normalization > 05:05:39.152428 [debug] [Thread-6 ]: Writing runtime SQL for node "model.airbyte_utils.marketing_emails_stats_deviceBreakdown_open_device_type" 2022-04-13 05:22:22 normalization > 05:05:39.152788 [debug] [Thread-6 ]: On model.airbyte_utils.marketing_emails_stats_deviceBreakdown_open_device_type: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.marketing_emails_stats_deviceBreakdown_open_device_type"} */ 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > create or replace table `mansagroup-datascience`.hubspot_.`marketing_emails_stats_deviceBreakdown_open_device_type` 2022-04-13 05:22:22 normalization > partition by timestamp_trunc(_airbyte_emitted_at, day) 2022-04-13 05:22:22 normalization > cluster by _airbyte_emitted_at 2022-04-13 05:22:22 normalization > OPTIONS() 2022-04-13 05:22:22 normalization > as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > with __dbt__cte__marketing_emails_stats_deviceBreakdown_open_device_type_ab1 as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema 2022-04-13 05:22:22 normalization > -- depends_on: `mansagroup-datascience`.hubspot_.`marketing_emails_stats_deviceBreakdown` 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > _airbyte_deviceBreakdown_hashid, 2022-04-13 05:22:22 normalization > json_extract_scalar(open_device_type, "$['mobile']") as mobile, 2022-04-13 05:22:22 normalization > json_extract_scalar(open_device_type, "$['unknown']") as unknown, 2022-04-13 05:22:22 normalization > json_extract_scalar(open_device_type, "$['computer']") as computer, 2022-04-13 05:22:22 normalization > _airbyte_ab_id, 2022-04-13 05:22:22 normalization > _airbyte_emitted_at, 2022-04-13 05:22:22 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:22 normalization > from `mansagroup-datascience`.hubspot_.`marketing_emails_stats_deviceBreakdown` as table_alias 2022-04-13 05:22:22 normalization > -- open_device_type at marketing_emails/stats/deviceBreakdown/open_device_type 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > and open_device_type is not null 2022-04-13 05:22:22 normalization > ), __dbt__cte__marketing_emails_stats_deviceBreakdown_open_device_type_ab2 as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type 2022-04-13 05:22:22 normalization > -- depends_on: __dbt__cte__marketing_emails_stats_deviceBreakdown_open_device_type_ab1 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > _airbyte_deviceBreakdown_hashid, 2022-04-13 05:22:22 normalization > cast(mobile as 2022-04-13 05:22:22 normalization > int64 2022-04-13 05:22:22 normalization > ) as mobile, 2022-04-13 05:22:22 normalization > cast(unknown as 2022-04-13 05:22:22 normalization > int64 2022-04-13 05:22:22 normalization > ) as unknown, 2022-04-13 05:22:22 normalization > cast(computer as 2022-04-13 05:22:22 normalization > int64 2022-04-13 05:22:22 normalization > ) as computer, 2022-04-13 05:22:22 normalization > _airbyte_ab_id, 2022-04-13 05:22:22 normalization > _airbyte_emitted_at, 2022-04-13 05:22:22 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:22 normalization > from __dbt__cte__marketing_emails_stats_deviceBreakdown_open_device_type_ab1 2022-04-13 05:22:22 normalization > -- open_device_type at marketing_emails/stats/deviceBreakdown/open_device_type 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > ), __dbt__cte__marketing_emails_stats_deviceBreakdown_open_device_type_ab3 as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > -- SQL model to build a hash column based on the values of this record 2022-04-13 05:22:22 normalization > -- depends_on: __dbt__cte__marketing_emails_stats_deviceBreakdown_open_device_type_ab2 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > to_hex(md5(cast(concat(coalesce(cast(_airbyte_deviceBreakdown_hashid as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(mobile as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(unknown as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(computer as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), '')) as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ))) as _airbyte_open_device_type_hashid, 2022-04-13 05:22:22 normalization > tmp.* 2022-04-13 05:22:22 normalization > from __dbt__cte__marketing_emails_stats_deviceBreakdown_open_device_type_ab2 tmp 2022-04-13 05:22:22 normalization > -- open_device_type at marketing_emails/stats/deviceBreakdown/open_device_type 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > )-- Final base SQL model 2022-04-13 05:22:22 normalization > -- depends_on: __dbt__cte__marketing_emails_stats_deviceBreakdown_open_device_type_ab3 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > _airbyte_deviceBreakdown_hashid, 2022-04-13 05:22:22 normalization > mobile, 2022-04-13 05:22:22 normalization > unknown, 2022-04-13 05:22:22 normalization > computer, 2022-04-13 05:22:22 normalization > _airbyte_ab_id, 2022-04-13 05:22:22 normalization > _airbyte_emitted_at, 2022-04-13 05:22:22 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at, 2022-04-13 05:22:22 normalization > _airbyte_open_device_type_hashid 2022-04-13 05:22:22 normalization > from __dbt__cte__marketing_emails_stats_deviceBreakdown_open_device_type_ab3 2022-04-13 05:22:22 normalization > -- open_device_type at marketing_emails/stats/deviceBreakdown/open_device_type from `mansagroup-datascience`.hubspot_.`marketing_emails_stats_deviceBreakdown` 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > ); 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 05:05:40.723627 [debug] [Thread-3 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:05:40.724327 [info ] [Thread-3 ]: 68 of 77 OK created table model hubspot_.marketing_emails_stats_deviceBreakdown_click_device_type....................... [CREATE TABLE (35.0 rows, 4.1 KB processed) in 1.98s] 2022-04-13 05:22:22 normalization > 05:05:40.724766 [debug] [Thread-3 ]: Finished running node model.airbyte_utils.marketing_emails_stats_deviceBreakdown_click_device_type 2022-04-13 05:22:22 normalization > 05:05:40.724974 [debug] [Thread-3 ]: Began running node model.airbyte_utils.engagements_associations 2022-04-13 05:22:22 normalization > 05:05:40.725385 [info ] [Thread-3 ]: 70 of 77 START incremental model hubspot_.engagements_associations...................................................... [RUN] 2022-04-13 05:22:22 normalization > 05:05:40.725891 [debug] [Thread-3 ]: Acquiring new bigquery connection "model.airbyte_utils.engagements_associations" 2022-04-13 05:22:22 normalization > 05:05:40.726069 [debug] [Thread-3 ]: Began compiling node model.airbyte_utils.engagements_associations 2022-04-13 05:22:22 normalization > 05:05:40.726247 [debug] [Thread-3 ]: Compiling model.airbyte_utils.engagements_associations 2022-04-13 05:22:22 normalization > 05:05:40.733741 [debug] [Thread-3 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:22 normalization > 05:05:40.771834 [debug] [Thread-2 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:05:40.772600 [info ] [Thread-2 ]: 41 of 77 OK created incremental model hubspot_.engagements_calls_properties............................................. [MERGE (66.8k rows, 67.9 MB processed) in 93.66s] 2022-04-13 05:22:22 normalization > 05:05:40.773281 [debug] [Thread-2 ]: Finished running node model.airbyte_utils.engagements_calls_properties 2022-04-13 05:22:22 normalization > 05:05:40.773663 [debug] [Thread-2 ]: Began running node model.airbyte_utils.engagements_metadata_ab3 2022-04-13 05:22:22 normalization > 05:05:40.774186 [debug] [Thread-2 ]: Acquiring new bigquery connection "model.airbyte_utils.engagements_metadata_ab3" 2022-04-13 05:22:22 normalization > 05:05:40.774544 [debug] [Thread-2 ]: Began compiling node model.airbyte_utils.engagements_metadata_ab3 2022-04-13 05:22:22 normalization > 05:05:40.774739 [debug] [Thread-2 ]: Compiling model.airbyte_utils.engagements_metadata_ab3 2022-04-13 05:22:22 normalization > 05:05:40.796825 [debug] [Thread-2 ]: On "model.airbyte_utils.engagements_metadata_ab3": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:22 normalization > 05:05:40.797026 [debug] [Thread-2 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:22 normalization > 05:05:40.849830 [debug] [Thread-3 ]: Writing injected SQL for node "model.airbyte_utils.engagements_associations" 2022-04-13 05:22:22 normalization > 05:05:40.850164 [debug] [Thread-3 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:05:40.850377 [debug] [Thread-3 ]: Began executing node model.airbyte_utils.engagements_associations 2022-04-13 05:22:22 normalization > 05:05:40.912434 [debug] [Thread-3 ]: On model.airbyte_utils.engagements_associations: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.engagements_associations"} */ 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > create or replace table `mansagroup-datascience`.hubspot_.`engagements_associations__dbt_tmp` 2022-04-13 05:22:22 normalization > partition by timestamp_trunc(_airbyte_emitted_at, day) 2022-04-13 05:22:22 normalization > cluster by _airbyte_emitted_at 2022-04-13 05:22:22 normalization > OPTIONS( 2022-04-13 05:22:22 normalization > expiration_timestamp=TIMESTAMP_ADD(CURRENT_TIMESTAMP(), INTERVAL 12 hour) 2022-04-13 05:22:22 normalization > ) 2022-04-13 05:22:22 normalization > as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > with __dbt__cte__engagements_associations_ab1 as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema 2022-04-13 05:22:22 normalization > -- depends_on: `mansagroup-datascience`.hubspot_.`engagements` 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > _airbyte_engagements_hashid, 2022-04-13 05:22:22 normalization > json_extract_array(associations, "$['dealIds']") as dealIds, 2022-04-13 05:22:22 normalization > json_extract_array(associations, "$['ownerIds']") as ownerIds, 2022-04-13 05:22:22 normalization > json_extract_array(associations, "$['ticketIds']") as ticketIds, 2022-04-13 05:22:22 normalization > json_extract_array(associations, "$['companyIds']") as companyIds, 2022-04-13 05:22:22 normalization > json_extract_array(associations, "$['contactIds']") as contactIds, 2022-04-13 05:22:22 normalization > json_extract_array(associations, "$['workflowIds']") as workflowIds, 2022-04-13 05:22:22 normalization > _airbyte_ab_id, 2022-04-13 05:22:22 normalization > _airbyte_emitted_at, 2022-04-13 05:22:22 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:22 normalization > from `mansagroup-datascience`.hubspot_.`engagements` as table_alias 2022-04-13 05:22:22 normalization > -- associations at engagements/associations 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > and associations is not null 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > ), __dbt__cte__engagements_associations_ab2 as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type 2022-04-13 05:22:22 normalization > -- depends_on: __dbt__cte__engagements_associations_ab1 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > _airbyte_engagements_hashid, 2022-04-13 05:22:22 normalization > dealIds, 2022-04-13 05:22:22 normalization > ownerIds, 2022-04-13 05:22:22 normalization > ticketIds, 2022-04-13 05:22:22 normalization > companyIds, 2022-04-13 05:22:22 normalization > contactIds, 2022-04-13 05:22:22 normalization > workflowIds, 2022-04-13 05:22:22 normalization > _airbyte_ab_id, 2022-04-13 05:22:22 normalization > _airbyte_emitted_at, 2022-04-13 05:22:22 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:22 normalization > from __dbt__cte__engagements_associations_ab1 2022-04-13 05:22:22 normalization > -- associations at engagements/associations 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > ), __dbt__cte__engagements_associations_ab3 as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > -- SQL model to build a hash column based on the values of this record 2022-04-13 05:22:22 normalization > -- depends_on: __dbt__cte__engagements_associations_ab2 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > to_hex(md5(cast(concat(coalesce(cast(_airbyte_engagements_hashid as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(array_to_string(dealIds, "|", "") as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(array_to_string(ownerIds, "|", "") as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(array_to_string(ticketIds, "|", "") as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(array_to_string(companyIds, "|", "") as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(array_to_string(contactIds, "|", "") as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(array_to_string(workflowIds, "|", "") as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), '')) as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ))) as _airbyte_associations_hashid, 2022-04-13 05:22:22 normalization > tmp.* 2022-04-13 05:22:22 normalization > from __dbt__cte__engagements_associations_ab2 tmp 2022-04-13 05:22:22 normalization > -- associations at engagements/associations 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > )-- Final base SQL model 2022-04-13 05:22:22 normalization > -- depends_on: __dbt__cte__engagements_associations_ab3 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > _airbyte_engagements_hashid, 2022-04-13 05:22:22 normalization > dealIds, 2022-04-13 05:22:22 normalization > ownerIds, 2022-04-13 05:22:22 normalization > ticketIds, 2022-04-13 05:22:22 normalization > companyIds, 2022-04-13 05:22:22 normalization > contactIds, 2022-04-13 05:22:22 normalization > workflowIds, 2022-04-13 05:22:22 normalization > _airbyte_ab_id, 2022-04-13 05:22:22 normalization > _airbyte_emitted_at, 2022-04-13 05:22:22 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at, 2022-04-13 05:22:22 normalization > _airbyte_associations_hashid 2022-04-13 05:22:22 normalization > from __dbt__cte__engagements_associations_ab3 2022-04-13 05:22:22 normalization > -- associations at engagements/associations from `mansagroup-datascience`.hubspot_.`engagements` 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > and coalesce( 2022-04-13 05:22:22 normalization > cast(_airbyte_emitted_at as 2022-04-13 05:22:22 normalization > timestamp 2022-04-13 05:22:22 normalization > ) >= (select max(cast(_airbyte_emitted_at as 2022-04-13 05:22:22 normalization > timestamp 2022-04-13 05:22:22 normalization > )) from `mansagroup-datascience`.hubspot_.`engagements_associations`), 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > true) 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > ); 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 05:05:41.031899 [debug] [Thread-6 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:05:41.032541 [info ] [Thread-6 ]: 69 of 77 OK created table model hubspot_.marketing_emails_stats_deviceBreakdown_open_device_type........................ [CREATE TABLE (35.0 rows, 4.2 KB processed) in 2.00s] 2022-04-13 05:22:22 normalization > 05:05:41.032967 [debug] [Thread-6 ]: Finished running node model.airbyte_utils.marketing_emails_stats_deviceBreakdown_open_device_type 2022-04-13 05:22:22 normalization > 05:05:41.033167 [debug] [Thread-6 ]: Began running node model.airbyte_utils.engagements_attachments 2022-04-13 05:22:22 normalization > 05:05:41.033573 [info ] [Thread-6 ]: 71 of 77 START incremental model hubspot_.engagements_attachments....................................................... [RUN] 2022-04-13 05:22:22 normalization > 05:05:41.034077 [debug] [Thread-6 ]: Acquiring new bigquery connection "model.airbyte_utils.engagements_attachments" 2022-04-13 05:22:22 normalization > 05:05:41.034280 [debug] [Thread-6 ]: Began compiling node model.airbyte_utils.engagements_attachments 2022-04-13 05:22:22 normalization > 05:05:41.034438 [debug] [Thread-6 ]: Compiling model.airbyte_utils.engagements_attachments 2022-04-13 05:22:22 normalization > 05:05:41.041838 [debug] [Thread-6 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:22 normalization > 05:05:41.183563 [debug] [Thread-6 ]: Writing injected SQL for node "model.airbyte_utils.engagements_attachments" 2022-04-13 05:22:22 normalization > 05:05:41.185128 [debug] [Thread-2 ]: Writing injected SQL for node "model.airbyte_utils.engagements_metadata_ab3" 2022-04-13 05:22:22 normalization > 05:05:41.185571 [debug] [Thread-6 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:05:41.185793 [debug] [Thread-6 ]: Began executing node model.airbyte_utils.engagements_attachments 2022-04-13 05:22:22 normalization > 05:05:41.188805 [debug] [Thread-2 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:05:41.190927 [debug] [Thread-2 ]: Finished running node model.airbyte_utils.engagements_metadata_ab3 2022-04-13 05:22:22 normalization > 05:05:41.191491 [debug] [Thread-2 ]: Began running node model.airbyte_utils.engagements_metadata 2022-04-13 05:22:22 normalization > 05:05:41.191747 [info ] [Thread-2 ]: 72 of 77 START incremental model hubspot_.engagements_metadata.......................................................... [RUN] 2022-04-13 05:22:22 normalization > 05:05:41.192325 [debug] [Thread-2 ]: Acquiring new bigquery connection "model.airbyte_utils.engagements_metadata" 2022-04-13 05:22:22 normalization > 05:05:41.192612 [debug] [Thread-2 ]: Began compiling node model.airbyte_utils.engagements_metadata 2022-04-13 05:22:22 normalization > 05:05:41.192865 [debug] [Thread-2 ]: Compiling model.airbyte_utils.engagements_metadata 2022-04-13 05:22:22 normalization > 05:05:41.201975 [debug] [Thread-2 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:22 normalization > 05:05:41.247074 [debug] [Thread-6 ]: On model.airbyte_utils.engagements_attachments: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.engagements_attachments"} */ 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > create or replace table `mansagroup-datascience`.hubspot_.`engagements_attachments__dbt_tmp` 2022-04-13 05:22:22 normalization > partition by timestamp_trunc(_airbyte_emitted_at, day) 2022-04-13 05:22:22 normalization > cluster by _airbyte_emitted_at 2022-04-13 05:22:22 normalization > OPTIONS( 2022-04-13 05:22:22 normalization > expiration_timestamp=TIMESTAMP_ADD(CURRENT_TIMESTAMP(), INTERVAL 12 hour) 2022-04-13 05:22:22 normalization > ) 2022-04-13 05:22:22 normalization > as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > with __dbt__cte__engagements_attachments_ab1 as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema 2022-04-13 05:22:22 normalization > -- depends_on: `mansagroup-datascience`.hubspot_.`engagements` 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > _airbyte_engagements_hashid, 2022-04-13 05:22:22 normalization > json_extract_scalar(attachments, "$['id']") as id, 2022-04-13 05:22:22 normalization > _airbyte_ab_id, 2022-04-13 05:22:22 normalization > _airbyte_emitted_at, 2022-04-13 05:22:22 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:22 normalization > from `mansagroup-datascience`.hubspot_.`engagements` as table_alias 2022-04-13 05:22:22 normalization > -- attachments at engagements/attachments 2022-04-13 05:22:22 normalization > cross join unnest(attachments) as attachments 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > and attachments is not null 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > ), __dbt__cte__engagements_attachments_ab2 as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type 2022-04-13 05:22:22 normalization > -- depends_on: __dbt__cte__engagements_attachments_ab1 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > _airbyte_engagements_hashid, 2022-04-13 05:22:22 normalization > cast(id as 2022-04-13 05:22:22 normalization > int64 2022-04-13 05:22:22 normalization > ) as id, 2022-04-13 05:22:22 normalization > _airbyte_ab_id, 2022-04-13 05:22:22 normalization > _airbyte_emitted_at, 2022-04-13 05:22:22 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:22 normalization > from __dbt__cte__engagements_attachments_ab1 2022-04-13 05:22:22 normalization > -- attachments at engagements/attachments 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > ), __dbt__cte__engagements_attachments_ab3 as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > -- SQL model to build a hash column based on the values of this record 2022-04-13 05:22:22 normalization > -- depends_on: __dbt__cte__engagements_attachments_ab2 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > to_hex(md5(cast(concat(coalesce(cast(_airbyte_engagements_hashid as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(id as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), '')) as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ))) as _airbyte_attachments_hashid, 2022-04-13 05:22:22 normalization > tmp.* 2022-04-13 05:22:22 normalization > from __dbt__cte__engagements_attachments_ab2 tmp 2022-04-13 05:22:22 normalization > -- attachments at engagements/attachments 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > )-- Final base SQL model 2022-04-13 05:22:22 normalization > -- depends_on: __dbt__cte__engagements_attachments_ab3 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > _airbyte_engagements_hashid, 2022-04-13 05:22:22 normalization > id, 2022-04-13 05:22:22 normalization > _airbyte_ab_id, 2022-04-13 05:22:22 normalization > _airbyte_emitted_at, 2022-04-13 05:22:22 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at, 2022-04-13 05:22:22 normalization > _airbyte_attachments_hashid 2022-04-13 05:22:22 normalization > from __dbt__cte__engagements_attachments_ab3 2022-04-13 05:22:22 normalization > -- attachments at engagements/attachments from `mansagroup-datascience`.hubspot_.`engagements` 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > and coalesce( 2022-04-13 05:22:22 normalization > cast(_airbyte_emitted_at as 2022-04-13 05:22:22 normalization > timestamp 2022-04-13 05:22:22 normalization > ) >= (select max(cast(_airbyte_emitted_at as 2022-04-13 05:22:22 normalization > timestamp 2022-04-13 05:22:22 normalization > )) from `mansagroup-datascience`.hubspot_.`engagements_attachments`), 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > true) 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > ); 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 05:05:41.317246 [debug] [Thread-2 ]: Writing injected SQL for node "model.airbyte_utils.engagements_metadata" 2022-04-13 05:22:22 normalization > 05:05:41.317588 [debug] [Thread-2 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:05:41.317776 [debug] [Thread-2 ]: Began executing node model.airbyte_utils.engagements_metadata 2022-04-13 05:22:22 normalization > 05:05:41.384710 [debug] [Thread-2 ]: On model.airbyte_utils.engagements_metadata: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.engagements_metadata"} */ 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > create or replace table `mansagroup-datascience`.hubspot_.`engagements_metadata__dbt_tmp` 2022-04-13 05:22:22 normalization > partition by timestamp_trunc(_airbyte_emitted_at, day) 2022-04-13 05:22:22 normalization > cluster by _airbyte_emitted_at 2022-04-13 05:22:22 normalization > OPTIONS( 2022-04-13 05:22:22 normalization > expiration_timestamp=TIMESTAMP_ADD(CURRENT_TIMESTAMP(), INTERVAL 12 hour) 2022-04-13 05:22:22 normalization > ) 2022-04-13 05:22:22 normalization > as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > with __dbt__cte__engagements_metadata_ab1 as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema 2022-04-13 05:22:22 normalization > -- depends_on: `mansagroup-datascience`.hubspot_.`engagements` 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > _airbyte_engagements_hashid, 2022-04-13 05:22:22 normalization > json_extract_array(metadata, "$['cc']") as cc, 2022-04-13 05:22:22 normalization > json_extract_array(metadata, "$['to']") as `to`, 2022-04-13 05:22:22 normalization > json_extract_array(metadata, "$['bcc']") as bcc, 2022-04-13 05:22:22 normalization > json_extract_scalar(metadata, "$['body']") as body, 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > json_extract(table_alias.metadata, "$['from']") 2022-04-13 05:22:22 normalization > as `from`, 2022-04-13 05:22:22 normalization > json_extract_scalar(metadata, "$['html']") as html, 2022-04-13 05:22:22 normalization > json_extract_scalar(metadata, "$['text']") as text, 2022-04-13 05:22:22 normalization > json_extract_scalar(metadata, "$['title']") as title, 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > json_extract(table_alias.metadata, "$['sender']") 2022-04-13 05:22:22 normalization > as sender, 2022-04-13 05:22:22 normalization > json_extract_scalar(metadata, "$['source']") as source, 2022-04-13 05:22:22 normalization > json_extract_scalar(metadata, "$['status']") as status, 2022-04-13 05:22:22 normalization > json_extract_scalar(metadata, "$['endTime']") as endTime, 2022-04-13 05:22:22 normalization > json_extract_scalar(metadata, "$['sentVia']") as sentVia, 2022-04-13 05:22:22 normalization > json_extract_scalar(metadata, "$['subject']") as subject, 2022-04-13 05:22:22 normalization > json_extract_scalar(metadata, "$['isAllDay']") as isAllDay, 2022-04-13 05:22:22 normalization > json_extract_scalar(metadata, "$['priority']") as priority, 2022-04-13 05:22:22 normalization > json_extract_scalar(metadata, "$['sourceId']") as sourceId, 2022-04-13 05:22:22 normalization > json_extract_scalar(metadata, "$['taskType']") as taskType, 2022-04-13 05:22:22 normalization > json_extract_scalar(metadata, "$['threadId']") as threadId, 2022-04-13 05:22:22 normalization > json_extract_scalar(metadata, "$['toNumber']") as toNumber, 2022-04-13 05:22:22 normalization > json_extract_scalar(metadata, "$['messageId']") as messageId, 2022-04-13 05:22:22 normalization > json_extract_array(metadata, "$['reminders']") as reminders, 2022-04-13 05:22:22 normalization > json_extract_scalar(metadata, "$['startTime']") as startTime, 2022-04-13 05:22:22 normalization > json_extract_scalar(metadata, "$['externalId']") as externalId, 2022-04-13 05:22:22 normalization > json_extract_scalar(metadata, "$['fromNumber']") as fromNumber, 2022-04-13 05:22:22 normalization > json_extract_scalar(metadata, "$['loggedFrom']") as loggedFrom, 2022-04-13 05:22:22 normalization > json_extract_scalar(metadata, "$['trackerKey']") as trackerKey, 2022-04-13 05:22:22 normalization > json_extract_scalar(metadata, "$['disposition']") as disposition, 2022-04-13 05:22:22 normalization > json_extract_scalar(metadata, "$['externalUrl']") as externalUrl, 2022-04-13 05:22:22 normalization > json_extract_scalar(metadata, "$['errorMessage']") as errorMessage, 2022-04-13 05:22:22 normalization > json_extract_scalar(metadata, "$['recordingUrl']") as recordingUrl, 2022-04-13 05:22:22 normalization > json_extract_scalar(metadata, "$['forObjectType']") as forObjectType, 2022-04-13 05:22:22 normalization > json_extract_scalar(metadata, "$['calleeObjectId']") as calleeObjectId, 2022-04-13 05:22:22 normalization > json_extract_scalar(metadata, "$['completionDate']") as completionDate, 2022-04-13 05:22:22 normalization > json_extract_scalar(metadata, "$['postSendStatus']") as postSendStatus, 2022-04-13 05:22:22 normalization > json_extract_scalar(metadata, "$['facsimileSendId']") as facsimileSendId, 2022-04-13 05:22:22 normalization > json_extract_scalar(metadata, "$['calleeObjectType']") as calleeObjectType, 2022-04-13 05:22:22 normalization > json_extract_scalar(metadata, "$['externalAccountId']") as externalAccountId, 2022-04-13 05:22:22 normalization > json_extract_scalar(metadata, "$['sequenceStepOrder']") as sequenceStepOrder, 2022-04-13 05:22:22 normalization > json_extract_scalar(metadata, "$['attachedVideoOpened']") as attachedVideoOpened, 2022-04-13 05:22:22 normalization > json_extract_scalar(metadata, "$['sendDefaultReminder']") as sendDefaultReminder, 2022-04-13 05:22:22 normalization > json_extract_scalar(metadata, "$['attachedVideoWatched']") as attachedVideoWatched, 2022-04-13 05:22:22 normalization > json_extract_scalar(metadata, "$['durationMilliseconds']") as durationMilliseconds, 2022-04-13 05:22:22 normalization > json_extract_scalar(metadata, "$['recipientDropReasons']") as recipientDropReasons, 2022-04-13 05:22:22 normalization > json_extract_scalar(metadata, "$['mediaProcessingStatus']") as mediaProcessingStatus, 2022-04-13 05:22:22 normalization > json_extract_scalar(metadata, "$['unknownVisitorConversation']") as unknownVisitorConversation, 2022-04-13 05:22:22 normalization > _airbyte_ab_id, 2022-04-13 05:22:22 normalization > _airbyte_emitted_at, 2022-04-13 05:22:22 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:22 normalization > from `mansagroup-datascience`.hubspot_.`engagements` as table_alias 2022-04-13 05:22:22 normalization > -- metadata at engagements/metadata 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > and metadata is not null 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > ), __dbt__cte__engagements_metadata_ab2 as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type 2022-04-13 05:22:22 normalization > -- depends_on: __dbt__cte__engagements_metadata_ab1 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > _airbyte_engagements_hashid, 2022-04-13 05:22:22 normalization > cc, 2022-04-13 05:22:22 normalization > `to`, 2022-04-13 05:22:22 normalization > bcc, 2022-04-13 05:22:22 normalization > cast(body as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as body, 2022-04-13 05:22:22 normalization > cast(`from` as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as `from`, 2022-04-13 05:22:22 normalization > cast(html as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as html, 2022-04-13 05:22:22 normalization > cast(text as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as text, 2022-04-13 05:22:22 normalization > cast(title as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as title, 2022-04-13 05:22:22 normalization > cast(sender as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as sender, 2022-04-13 05:22:22 normalization > cast(source as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as source, 2022-04-13 05:22:22 normalization > cast(status as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as status, 2022-04-13 05:22:22 normalization > cast(endTime as 2022-04-13 05:22:22 normalization > int64 2022-04-13 05:22:22 normalization > ) as endTime, 2022-04-13 05:22:22 normalization > cast(sentVia as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as sentVia, 2022-04-13 05:22:22 normalization > cast(subject as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as subject, 2022-04-13 05:22:22 normalization > cast(isAllDay as boolean) as isAllDay, 2022-04-13 05:22:22 normalization > cast(priority as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as priority, 2022-04-13 05:22:22 normalization > cast(sourceId as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as sourceId, 2022-04-13 05:22:22 normalization > cast(taskType as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as taskType, 2022-04-13 05:22:22 normalization > cast(threadId as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as threadId, 2022-04-13 05:22:22 normalization > cast(toNumber as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as toNumber, 2022-04-13 05:22:22 normalization > cast(messageId as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as messageId, 2022-04-13 05:22:22 normalization > reminders, 2022-04-13 05:22:22 normalization > cast(startTime as 2022-04-13 05:22:22 normalization > int64 2022-04-13 05:22:22 normalization > ) as startTime, 2022-04-13 05:22:22 normalization > cast(externalId as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as externalId, 2022-04-13 05:22:22 normalization > cast(fromNumber as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as fromNumber, 2022-04-13 05:22:22 normalization > cast(loggedFrom as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as loggedFrom, 2022-04-13 05:22:22 normalization > cast(trackerKey as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as trackerKey, 2022-04-13 05:22:22 normalization > cast(disposition as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as disposition, 2022-04-13 05:22:22 normalization > cast(externalUrl as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as externalUrl, 2022-04-13 05:22:22 normalization > cast(errorMessage as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as errorMessage, 2022-04-13 05:22:22 normalization > cast(recordingUrl as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as recordingUrl, 2022-04-13 05:22:22 normalization > cast(forObjectType as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as forObjectType, 2022-04-13 05:22:22 normalization > cast(calleeObjectId as 2022-04-13 05:22:22 normalization > int64 2022-04-13 05:22:22 normalization > ) as calleeObjectId, 2022-04-13 05:22:22 normalization > cast(completionDate as 2022-04-13 05:22:22 normalization > int64 2022-04-13 05:22:22 normalization > ) as completionDate, 2022-04-13 05:22:22 normalization > cast(postSendStatus as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as postSendStatus, 2022-04-13 05:22:22 normalization > cast(facsimileSendId as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as facsimileSendId, 2022-04-13 05:22:22 normalization > cast(calleeObjectType as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as calleeObjectType, 2022-04-13 05:22:22 normalization > cast(externalAccountId as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as externalAccountId, 2022-04-13 05:22:22 normalization > cast(sequenceStepOrder as 2022-04-13 05:22:22 normalization > int64 2022-04-13 05:22:22 normalization > ) as sequenceStepOrder, 2022-04-13 05:22:22 normalization > cast(attachedVideoOpened as boolean) as attachedVideoOpened, 2022-04-13 05:22:22 normalization > cast(sendDefaultReminder as boolean) as sendDefaultReminder, 2022-04-13 05:22:22 normalization > cast(attachedVideoWatched as boolean) as attachedVideoWatched, 2022-04-13 05:22:22 normalization > cast(durationMilliseconds as 2022-04-13 05:22:22 normalization > int64 2022-04-13 05:22:22 normalization > ) as durationMilliseconds, 2022-04-13 05:22:22 normalization > cast(recipientDropReasons as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as recipientDropReasons, 2022-04-13 05:22:22 normalization > cast(mediaProcessingStatus as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as mediaProcessingStatus, 2022-04-13 05:22:22 normalization > cast(unknownVisitorConversation as boolean) as unknownVisitorConversation, 2022-04-13 05:22:22 normalization > _airbyte_ab_id, 2022-04-13 05:22:22 normalization > _airbyte_emitted_at, 2022-04-13 05:22:22 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:22 normalization > from __dbt__cte__engagements_metadata_ab1 2022-04-13 05:22:22 normalization > -- metadata at engagements/metadata 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > ), __dbt__cte__engagements_metadata_ab3 as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > -- SQL model to build a hash column based on the values of this record 2022-04-13 05:22:22 normalization > -- depends_on: __dbt__cte__engagements_metadata_ab2 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > to_hex(md5(cast(concat(coalesce(cast(_airbyte_engagements_hashid as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(array_to_string(cc, "|", "") as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(array_to_string(`to`, "|", "") as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(array_to_string(bcc, "|", "") as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(body as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(`from` as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(html as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(text as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(title as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(sender as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(source as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(status as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(endTime as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(sentVia as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(subject as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(isAllDay as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(priority as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(sourceId as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(taskType as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(threadId as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(toNumber as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(messageId as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(array_to_string(reminders, "|", "") as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(startTime as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(externalId as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(fromNumber as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(loggedFrom as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(trackerKey as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(disposition as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(externalUrl as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(errorMessage as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(recordingUrl as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(forObjectType as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(calleeObjectId as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(completionDate as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(postSendStatus as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(facsimileSendId as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(calleeObjectType as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(externalAccountId as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(sequenceStepOrder as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(attachedVideoOpened as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(sendDefaultReminder as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(attachedVideoWatched as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(durationMilliseconds as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(recipientDropReasons as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(mediaProcessingStatus as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(unknownVisitorConversation as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), '')) as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ))) as _airbyte_metadata_hashid, 2022-04-13 05:22:22 normalization > tmp.* 2022-04-13 05:22:22 normalization > from __dbt__cte__engagements_metadata_ab2 tmp 2022-04-13 05:22:22 normalization > -- metadata at engagements/metadata 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > )-- Final base SQL model 2022-04-13 05:22:22 normalization > -- depends_on: __dbt__cte__engagements_metadata_ab3 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > _airbyte_engagements_hashid, 2022-04-13 05:22:22 normalization > cc, 2022-04-13 05:22:22 normalization > `to`, 2022-04-13 05:22:22 normalization > bcc, 2022-04-13 05:22:22 normalization > body, 2022-04-13 05:22:22 normalization > `from`, 2022-04-13 05:22:22 normalization > html, 2022-04-13 05:22:22 normalization > text, 2022-04-13 05:22:22 normalization > title, 2022-04-13 05:22:22 normalization > sender, 2022-04-13 05:22:22 normalization > source, 2022-04-13 05:22:22 normalization > status, 2022-04-13 05:22:22 normalization > endTime, 2022-04-13 05:22:22 normalization > sentVia, 2022-04-13 05:22:22 normalization > subject, 2022-04-13 05:22:22 normalization > isAllDay, 2022-04-13 05:22:22 normalization > priority, 2022-04-13 05:22:22 normalization > sourceId, 2022-04-13 05:22:22 normalization > taskType, 2022-04-13 05:22:22 normalization > threadId, 2022-04-13 05:22:22 normalization > toNumber, 2022-04-13 05:22:22 normalization > messageId, 2022-04-13 05:22:22 normalization > reminders, 2022-04-13 05:22:22 normalization > startTime, 2022-04-13 05:22:22 normalization > externalId, 2022-04-13 05:22:22 normalization > fromNumber, 2022-04-13 05:22:22 normalization > loggedFrom, 2022-04-13 05:22:22 normalization > trackerKey, 2022-04-13 05:22:22 normalization > disposition, 2022-04-13 05:22:22 normalization > externalUrl, 2022-04-13 05:22:22 normalization > errorMessage, 2022-04-13 05:22:22 normalization > recordingUrl, 2022-04-13 05:22:22 normalization > forObjectType, 2022-04-13 05:22:22 normalization > calleeObjectId, 2022-04-13 05:22:22 normalization > completionDate, 2022-04-13 05:22:22 normalization > postSendStatus, 2022-04-13 05:22:22 normalization > facsimileSendId, 2022-04-13 05:22:22 normalization > calleeObjectType, 2022-04-13 05:22:22 normalization > externalAccountId, 2022-04-13 05:22:22 normalization > sequenceStepOrder, 2022-04-13 05:22:22 normalization > attachedVideoOpened, 2022-04-13 05:22:22 normalization > sendDefaultReminder, 2022-04-13 05:22:22 normalization > attachedVideoWatched, 2022-04-13 05:22:22 normalization > durationMilliseconds, 2022-04-13 05:22:22 normalization > recipientDropReasons, 2022-04-13 05:22:22 normalization > mediaProcessingStatus, 2022-04-13 05:22:22 normalization > unknownVisitorConversation, 2022-04-13 05:22:22 normalization > _airbyte_ab_id, 2022-04-13 05:22:22 normalization > _airbyte_emitted_at, 2022-04-13 05:22:22 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at, 2022-04-13 05:22:22 normalization > _airbyte_metadata_hashid 2022-04-13 05:22:22 normalization > from __dbt__cte__engagements_metadata_ab3 2022-04-13 05:22:22 normalization > -- metadata at engagements/metadata from `mansagroup-datascience`.hubspot_.`engagements` 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > and coalesce( 2022-04-13 05:22:22 normalization > cast(_airbyte_emitted_at as 2022-04-13 05:22:22 normalization > timestamp 2022-04-13 05:22:22 normalization > ) >= (select max(cast(_airbyte_emitted_at as 2022-04-13 05:22:22 normalization > timestamp 2022-04-13 05:22:22 normalization > )) from `mansagroup-datascience`.hubspot_.`engagements_metadata`), 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > true) 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > ); 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 05:05:43.527333 [debug] [Thread-6 ]: 2022-04-13 05:22:22 normalization > In `mansagroup-datascience`.`hubspot_`.`engagements_attachments`: 2022-04-13 05:22:22 normalization > Schema changed: False 2022-04-13 05:22:22 normalization > Source columns not in target: [] 2022-04-13 05:22:22 normalization > Target columns not in source: [] 2022-04-13 05:22:22 normalization > New column types: [] 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 05:05:43.528332 [debug] [Thread-6 ]: Writing runtime SQL for node "model.airbyte_utils.engagements_attachments" 2022-04-13 05:22:22 normalization > 05:05:43.528707 [debug] [Thread-6 ]: On model.airbyte_utils.engagements_attachments: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.engagements_attachments"} */ 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > merge into `mansagroup-datascience`.hubspot_.`engagements_attachments` as DBT_INTERNAL_DEST 2022-04-13 05:22:22 normalization > using ( 2022-04-13 05:22:22 normalization > select * from `mansagroup-datascience`.hubspot_.`engagements_attachments__dbt_tmp` 2022-04-13 05:22:22 normalization > ) as DBT_INTERNAL_SOURCE 2022-04-13 05:22:22 normalization > on FALSE 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > when not matched then insert 2022-04-13 05:22:22 normalization > (`_airbyte_engagements_hashid`, `id`, `_airbyte_ab_id`, `_airbyte_emitted_at`, `_airbyte_normalized_at`, `_airbyte_attachments_hashid`) 2022-04-13 05:22:22 normalization > values 2022-04-13 05:22:22 normalization > (`_airbyte_engagements_hashid`, `id`, `_airbyte_ab_id`, `_airbyte_emitted_at`, `_airbyte_normalized_at`, `_airbyte_attachments_hashid`) 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 05:05:45.721189 [debug] [Thread-6 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:05:45.721856 [info ] [Thread-6 ]: 71 of 77 OK created incremental model hubspot_.engagements_attachments.................................................. [MERGE (26.1k rows, 3.2 MB processed) in 4.69s] 2022-04-13 05:22:22 normalization > 05:05:45.722323 [debug] [Thread-6 ]: Finished running node model.airbyte_utils.engagements_attachments 2022-04-13 05:22:22 normalization > 05:05:47.823584 [debug] [Thread-3 ]: 2022-04-13 05:22:22 normalization > In `mansagroup-datascience`.`hubspot_`.`engagements_associations`: 2022-04-13 05:22:22 normalization > Schema changed: False 2022-04-13 05:22:22 normalization > Source columns not in target: [] 2022-04-13 05:22:22 normalization > Target columns not in source: [] 2022-04-13 05:22:22 normalization > New column types: [] 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 05:05:47.824683 [debug] [Thread-3 ]: Writing runtime SQL for node "model.airbyte_utils.engagements_associations" 2022-04-13 05:22:22 normalization > 05:05:47.825053 [debug] [Thread-3 ]: On model.airbyte_utils.engagements_associations: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.engagements_associations"} */ 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > merge into `mansagroup-datascience`.hubspot_.`engagements_associations` as DBT_INTERNAL_DEST 2022-04-13 05:22:22 normalization > using ( 2022-04-13 05:22:22 normalization > select * from `mansagroup-datascience`.hubspot_.`engagements_associations__dbt_tmp` 2022-04-13 05:22:22 normalization > ) as DBT_INTERNAL_SOURCE 2022-04-13 05:22:22 normalization > on FALSE 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > when not matched then insert 2022-04-13 05:22:22 normalization > (`_airbyte_engagements_hashid`, `dealIds`, `ownerIds`, `ticketIds`, `companyIds`, `contactIds`, `workflowIds`, `_airbyte_ab_id`, `_airbyte_emitted_at`, `_airbyte_normalized_at`, `_airbyte_associations_hashid`) 2022-04-13 05:22:22 normalization > values 2022-04-13 05:22:22 normalization > (`_airbyte_engagements_hashid`, `dealIds`, `ownerIds`, `ticketIds`, `companyIds`, `contactIds`, `workflowIds`, `_airbyte_ab_id`, `_airbyte_emitted_at`, `_airbyte_normalized_at`, `_airbyte_associations_hashid`) 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 05:05:53.533294 [debug] [Thread-3 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:05:53.533936 [info ] [Thread-3 ]: 70 of 77 OK created incremental model hubspot_.engagements_associations................................................. [MERGE (323.7k rows, 43.9 MB processed) in 12.81s] 2022-04-13 05:22:22 normalization > 05:05:53.534388 [debug] [Thread-3 ]: Finished running node model.airbyte_utils.engagements_associations 2022-04-13 05:22:22 normalization > 05:06:12.339495 [debug] [Thread-4 ]: 2022-04-13 05:22:22 normalization > In `mansagroup-datascience`.`hubspot_`.`companies_properties`: 2022-04-13 05:22:22 normalization > Schema changed: False 2022-04-13 05:22:22 normalization > Source columns not in target: [] 2022-04-13 05:22:22 normalization > Target columns not in source: [] 2022-04-13 05:22:22 normalization > New column types: [] 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 05:06:12.343019 [debug] [Thread-4 ]: Writing runtime SQL for node "model.airbyte_utils.companies_properties" 2022-04-13 05:22:22 normalization > 05:06:12.343457 [debug] [Thread-4 ]: On model.airbyte_utils.companies_properties: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.companies_properties"} */ 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > merge into `mansagroup-datascience`.hubspot_.`companies_properties` as DBT_INTERNAL_DEST 2022-04-13 05:22:22 normalization > using ( 2022-04-13 05:22:22 normalization > select * from `mansagroup-datascience`.hubspot_.`companies_properties__dbt_tmp` 2022-04-13 05:22:22 normalization > ) as DBT_INTERNAL_SOURCE 2022-04-13 05:22:22 normalization > on FALSE 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > when not matched then insert 2022-04-13 05:22:22 normalization > (`_airbyte_companies_hashid`, `zip`, `city`, `name`, `type`, `phone`, `state`, `domain`, `address`, `country`, `is_test`, `statuts`, `website`, `about_us`, `address2`, `industry`, `timezone`, `closedate`, `is_funded`, `is_public`, `num_notes`, `createdate`, `twitterbio`, `amount_fees`, `companyname`, `description`, `fee_trigger`, `hs_pipeline`, `linkedinbio`, `sector_code`, `data_missing`, `facebookfans`, `founded_year`, `hs_object_id`, `hubspotscore`, `partner_type`, `annualrevenue`, `days_to_close`, `hs_createdate`, `total_revenue`, `twitterhandle`, `hs_lead_status`, `lifecyclestage`, `googleplus_page`, `hs_all_team_ids`, `hs_num_blockers`, `hs_time_in_lead`, `hubspot_team_id`, `legal_structure`, `percentage_fees`, `hs_all_owner_ids`, `hs_time_in_other`, `hubspot_owner_id`, `twitterfollowers`, `web_technologies`, `hs_num_open_deals`, `hs_target_account`, `mansa_environment`, `numberofemployees`, `url_lead_creation`, `automation_trigger`, `date_incorporation`, `notes_last_updated`, `recent_deal_amount`, `sector_description`, `total_money_raised`, `uuid_mansa_company`, `volume_loan_annual`, `hs_analytics_source`, `hs_date_exited_lead`, `hs_lastmodifieddate`, `hs_time_in_customer`, `hs_total_deal_value`, `num_contacted_notes`, `hs_date_entered_lead`, `hs_date_exited_other`, `hs_is_target_account`, `hs_merged_object_ids`, `hs_parent_company_id`, `notes_last_contacted`, `num_associated_deals`, `facebook_company_page`, `first_conversion_date`, `hs_additional_domains`, `hs_created_by_user_id`, `hs_date_entered_other`, `hs_time_in_evangelist`, `hs_time_in_subscriber`, `hs_updated_by_user_id`, `id_legal_registration`, `linkedin_company_page`, `nombre_d_independants`, `num_conversion_events`, `hs_last_open_task_date`, `hs_num_child_companies`, `hs_num_decision_makers`, `hs_time_in_opportunity`, `hs_unique_creation_key`, `recent_conversion_date`, `recent_deal_close_date`, `first_deal_created_date`, `hs_analytics_num_visits`, `hs_date_exited_customer`, `num_associated_contacts`, `first_contact_createdate`, `hs_date_entered_customer`, `hs_last_logged_call_date`, `legal_structure_specific`, `notes_next_activity_date`, `submission_idempotent_id`, `count_addressable_clients`, `hs_avatar_filemanager_key`, `hs_date_exited_evangelist`, `hs_date_exited_subscriber`, `hs_ideal_customer_profile`, `hs_user_ids_of_all_owners`, `hs_all_accessible_team_ids`, `hs_analytics_source_data_1`, `hs_analytics_source_data_2`, `hs_date_entered_evangelist`, `hs_date_entered_subscriber`, `hs_date_exited_opportunity`, `hs_latest_meeting_activity`, `hubspot_owner_assigneddate`, `first_conversion_event_name`, `hs_analytics_last_timestamp`, `hs_analytics_num_page_views`, `hs_date_entered_opportunity`, `hs_last_booked_meeting_date`, `hs_last_sales_activity_date`, `hs_sales_email_last_replied`, `hs_analytics_first_timestamp`, `recent_conversion_event_name`, `average_client_revenue_annual`, `hs_target_account_probability`, `hs_time_in_salesqualifiedlead`, `engagements_last_meeting_booked`, `hs_last_sales_activity_timestamp`, `hs_all_assigned_business_unit_ids`, `hs_analytics_last_visit_timestamp`, `hs_date_exited_salesqualifiedlead`, `hs_num_contacts_with_buying_roles`, `hs_time_in_marketingqualifiedlead`, `hs_analytics_first_visit_timestamp`, `hs_date_entered_salesqualifiedlead`, `hs_date_exited_marketingqualifiedlead`, `engagements_last_meeting_booked_medium`, `engagements_last_meeting_booked_source`, `hs_date_entered_marketingqualifiedlead`, `hs_target_account_recommendation_state`, `engagements_last_meeting_booked_campaign`, `hs_user_ids_of_all_notification_followers`, `closedate_timestamp_earliest_value_a2a17e6e`, `hs_analytics_last_touch_converting_campaign`, `hs_user_ids_of_all_notification_unfollowers`, `hs_analytics_first_touch_converting_campaign`, `hs_latest_createdate_of_active_subscriptions`, `hs_target_account_recommendation_snooze_time`, `num_conversion_events_cardinality_sum_d095f14b`, `hs_analytics_num_visits_cardinality_sum_53d952a6`, `hs_predictivecontactscore_v2_next_max_max_d4e58c1e`, `hs_analytics_num_page_views_cardinality_sum_e46e85b0`, `hs_analytics_source_timestamp_earliest_value_25a3a52c`, `recent_conversion_date_timestamp_latest_value_72856da1`, `first_conversion_date_timestamp_earliest_value_61f58f2c`, `first_contact_createdate_timestamp_earliest_value_78b50eea`, `hs_analytics_last_timestamp_timestamp_latest_value_4e16365a`, `hs_analytics_source_data_1_timestamp_earliest_value_9b2f1fa1`, `hs_analytics_source_data_2_timestamp_earliest_value_9b2f9400`, `recent_conversion_event_name_timestamp_latest_value_66c820bf`, `first_conversion_event_name_timestamp_earliest_value_68ddae0a`, `hs_analytics_first_timestamp_timestamp_earliest_value_11e3a63a`, `hs_analytics_last_visit_timestamp_timestamp_latest_value_999a0fce`, `hs_analytics_first_visit_timestamp_timestamp_earliest_value_accc17ae`, `hs_analytics_last_touch_converting_campaign_timestamp_latest_value_81a64e30`, `hs_analytics_first_touch_converting_campaign_timestamp_earliest_value_4757fe10`, `_airbyte_ab_id`, `_airbyte_emitted_at`, `_airbyte_normalized_at`, `_airbyte_properties_hashid`) 2022-04-13 05:22:22 normalization > values 2022-04-13 05:22:22 normalization > (`_airbyte_companies_hashid`, `zip`, `city`, `name`, `type`, `phone`, `state`, `domain`, `address`, `country`, `is_test`, `statuts`, `website`, `about_us`, `address2`, `industry`, `timezone`, `closedate`, `is_funded`, `is_public`, `num_notes`, `createdate`, `twitterbio`, `amount_fees`, `companyname`, `description`, `fee_trigger`, `hs_pipeline`, `linkedinbio`, `sector_code`, `data_missing`, `facebookfans`, `founded_year`, `hs_object_id`, `hubspotscore`, `partner_type`, `annualrevenue`, `days_to_close`, `hs_createdate`, `total_revenue`, `twitterhandle`, `hs_lead_status`, `lifecyclestage`, `googleplus_page`, `hs_all_team_ids`, `hs_num_blockers`, `hs_time_in_lead`, `hubspot_team_id`, `legal_structure`, `percentage_fees`, `hs_all_owner_ids`, `hs_time_in_other`, `hubspot_owner_id`, `twitterfollowers`, `web_technologies`, `hs_num_open_deals`, `hs_target_account`, `mansa_environment`, `numberofemployees`, `url_lead_creation`, `automation_trigger`, `date_incorporation`, `notes_last_updated`, `recent_deal_amount`, `sector_description`, `total_money_raised`, `uuid_mansa_company`, `volume_loan_annual`, `hs_analytics_source`, `hs_date_exited_lead`, `hs_lastmodifieddate`, `hs_time_in_customer`, `hs_total_deal_value`, `num_contacted_notes`, `hs_date_entered_lead`, `hs_date_exited_other`, `hs_is_target_account`, `hs_merged_object_ids`, `hs_parent_company_id`, `notes_last_contacted`, `num_associated_deals`, `facebook_company_page`, `first_conversion_date`, `hs_additional_domains`, `hs_created_by_user_id`, `hs_date_entered_other`, `hs_time_in_evangelist`, `hs_time_in_subscriber`, `hs_updated_by_user_id`, `id_legal_registration`, `linkedin_company_page`, `nombre_d_independants`, `num_conversion_events`, `hs_last_open_task_date`, `hs_num_child_companies`, `hs_num_decision_makers`, `hs_time_in_opportunity`, `hs_unique_creation_key`, `recent_conversion_date`, `recent_deal_close_date`, `first_deal_created_date`, `hs_analytics_num_visits`, `hs_date_exited_customer`, `num_associated_contacts`, `first_contact_createdate`, `hs_date_entered_customer`, `hs_last_logged_call_date`, `legal_structure_specific`, `notes_next_activity_date`, `submission_idempotent_id`, `count_addressable_clients`, `hs_avatar_filemanager_key`, `hs_date_exited_evangelist`, `hs_date_exited_subscriber`, `hs_ideal_customer_profile`, `hs_user_ids_of_all_owners`, `hs_all_accessible_team_ids`, `hs_analytics_source_data_1`, `hs_analytics_source_data_2`, `hs_date_entered_evangelist`, `hs_date_entered_subscriber`, `hs_date_exited_opportunity`, `hs_latest_meeting_activity`, `hubspot_owner_assigneddate`, `first_conversion_event_name`, `hs_analytics_last_timestamp`, `hs_analytics_num_page_views`, `hs_date_entered_opportunity`, `hs_last_booked_meeting_date`, `hs_last_sales_activity_date`, `hs_sales_email_last_replied`, `hs_analytics_first_timestamp`, `recent_conversion_event_name`, `average_client_revenue_annual`, `hs_target_account_probability`, `hs_time_in_salesqualifiedlead`, `engagements_last_meeting_booked`, `hs_last_sales_activity_timestamp`, `hs_all_assigned_business_unit_ids`, `hs_analytics_last_visit_timestamp`, `hs_date_exited_salesqualifiedlead`, `hs_num_contacts_with_buying_roles`, `hs_time_in_marketingqualifiedlead`, `hs_analytics_first_visit_timestamp`, `hs_date_entered_salesqualifiedlead`, `hs_date_exited_marketingqualifiedlead`, `engagements_last_meeting_booked_medium`, `engagements_last_meeting_booked_source`, `hs_date_entered_marketingqualifiedlead`, `hs_target_account_recommendation_state`, `engagements_last_meeting_booked_campaign`, `hs_user_ids_of_all_notification_followers`, `closedate_timestamp_earliest_value_a2a17e6e`, `hs_analytics_last_touch_converting_campaign`, `hs_user_ids_of_all_notification_unfollowers`, `hs_analytics_first_touch_converting_campaign`, `hs_latest_createdate_of_active_subscriptions`, `hs_target_account_recommendation_snooze_time`, `num_conversion_events_cardinality_sum_d095f14b`, `hs_analytics_num_visits_cardinality_sum_53d952a6`, `hs_predictivecontactscore_v2_next_max_max_d4e58c1e`, `hs_analytics_num_page_views_cardinality_sum_e46e85b0`, `hs_analytics_source_timestamp_earliest_value_25a3a52c`, `recent_conversion_date_timestamp_latest_value_72856da1`, `first_conversion_date_timestamp_earliest_value_61f58f2c`, `first_contact_createdate_timestamp_earliest_value_78b50eea`, `hs_analytics_last_timestamp_timestamp_latest_value_4e16365a`, `hs_analytics_source_data_1_timestamp_earliest_value_9b2f1fa1`, `hs_analytics_source_data_2_timestamp_earliest_value_9b2f9400`, `recent_conversion_event_name_timestamp_latest_value_66c820bf`, `first_conversion_event_name_timestamp_earliest_value_68ddae0a`, `hs_analytics_first_timestamp_timestamp_earliest_value_11e3a63a`, `hs_analytics_last_visit_timestamp_timestamp_latest_value_999a0fce`, `hs_analytics_first_visit_timestamp_timestamp_earliest_value_accc17ae`, `hs_analytics_last_touch_converting_campaign_timestamp_latest_value_81a64e30`, `hs_analytics_first_touch_converting_campaign_timestamp_earliest_value_4757fe10`, `_airbyte_ab_id`, `_airbyte_emitted_at`, `_airbyte_normalized_at`, `_airbyte_properties_hashid`) 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 05:06:15.432643 [debug] [Thread-4 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:06:15.433327 [info ] [Thread-4 ]: 40 of 77 OK created incremental model hubspot_.companies_properties..................................................... [MERGE (15.2k rows, 11.0 MB processed) in 128.32s] 2022-04-13 05:22:22 normalization > 05:06:15.433765 [debug] [Thread-4 ]: Finished running node model.airbyte_utils.companies_properties 2022-04-13 05:22:22 normalization > 05:07:11.609678 [debug] [Thread-1 ]: 2022-04-13 05:22:22 normalization > In `mansagroup-datascience`.`hubspot_`.`engagements_tasks_properties`: 2022-04-13 05:22:22 normalization > Schema changed: False 2022-04-13 05:22:22 normalization > Source columns not in target: [] 2022-04-13 05:22:22 normalization > Target columns not in source: [] 2022-04-13 05:22:22 normalization > New column types: [] 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 05:07:11.611563 [debug] [Thread-1 ]: Writing runtime SQL for node "model.airbyte_utils.engagements_tasks_properties" 2022-04-13 05:22:22 normalization > 05:07:11.611942 [debug] [Thread-1 ]: On model.airbyte_utils.engagements_tasks_properties: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.engagements_tasks_properties"} */ 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > merge into `mansagroup-datascience`.hubspot_.`engagements_tasks_properties` as DBT_INTERNAL_DEST 2022-04-13 05:22:22 normalization > using ( 2022-04-13 05:22:22 normalization > select * from `mansagroup-datascience`.hubspot_.`engagements_tasks_properties__dbt_tmp` 2022-04-13 05:22:22 normalization > ) as DBT_INTERNAL_SOURCE 2022-04-13 05:22:22 normalization > on FALSE 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > when not matched then insert 2022-04-13 05:22:22 normalization > (`_airbyte_engagements_tasks_hashid`, `hs_object_id`, `hs_task_body`, `hs_task_type`, `hs_timestamp`, `hs_unique_id`, `hs_created_by`, `hs_createdate`, `hs_modified_by`, `hs_task_status`, `hs_all_team_ids`, `hs_body_preview`, `hs_gdpr_deleted`, `hs_product_name`, `hs_task_subject`, `hubspot_team_id`, `hs_all_owner_ids`, `hs_task_priority`, `hubspot_owner_id`, `hs_attachment_ids`, `hs_task_reminders`, `hs_scheduled_tasks`, `hs_task_is_all_day`, `hs_follow_up_action`, `hs_lastmodifieddate`, `hs_task_template_id`, `hs_body_preview_html`, `hs_calendar_event_id`, `hs_engagement_source`, `hs_merged_object_ids`, `hs_created_by_user_id`, `hs_msteams_message_id`, `hs_updated_by_user_id`, `hs_unique_creation_key`, `hs_engagement_source_id`, `hs_num_associated_deals`, `hs_queue_membership_ids`, `hs_task_completion_date`, `hs_task_for_object_type`, `hs_task_repeat_interval`, `hs_task_contact_timezone`, `hs_at_mentioned_owner_ids`, `hs_num_associated_tickets`, `hs_user_ids_of_all_owners`, `hs_all_accessible_team_ids`, `hs_num_associated_contacts`, `hs_task_relative_reminders`, `hubspot_owner_assigneddate`, `hs_num_associated_companies`, `hs_task_sequence_step_order`, `hs_body_preview_is_truncated`, `hs_task_last_contact_outreach`, `hs_task_send_default_reminder`, `hs_num_associated_queue_objects`, `hs_task_probability_to_complete`, `hs_all_assigned_business_unit_ids`, `hs_task_sequence_enrollment_active`, `hs_task_sequence_step_enrollment_id`, `hs_task_last_sales_activity_timestamp`, `hs_user_ids_of_all_notification_followers`, `hs_user_ids_of_all_notification_unfollowers`, `_airbyte_ab_id`, `_airbyte_emitted_at`, `_airbyte_normalized_at`, `_airbyte_properties_hashid`) 2022-04-13 05:22:22 normalization > values 2022-04-13 05:22:22 normalization > (`_airbyte_engagements_tasks_hashid`, `hs_object_id`, `hs_task_body`, `hs_task_type`, `hs_timestamp`, `hs_unique_id`, `hs_created_by`, `hs_createdate`, `hs_modified_by`, `hs_task_status`, `hs_all_team_ids`, `hs_body_preview`, `hs_gdpr_deleted`, `hs_product_name`, `hs_task_subject`, `hubspot_team_id`, `hs_all_owner_ids`, `hs_task_priority`, `hubspot_owner_id`, `hs_attachment_ids`, `hs_task_reminders`, `hs_scheduled_tasks`, `hs_task_is_all_day`, `hs_follow_up_action`, `hs_lastmodifieddate`, `hs_task_template_id`, `hs_body_preview_html`, `hs_calendar_event_id`, `hs_engagement_source`, `hs_merged_object_ids`, `hs_created_by_user_id`, `hs_msteams_message_id`, `hs_updated_by_user_id`, `hs_unique_creation_key`, `hs_engagement_source_id`, `hs_num_associated_deals`, `hs_queue_membership_ids`, `hs_task_completion_date`, `hs_task_for_object_type`, `hs_task_repeat_interval`, `hs_task_contact_timezone`, `hs_at_mentioned_owner_ids`, `hs_num_associated_tickets`, `hs_user_ids_of_all_owners`, `hs_all_accessible_team_ids`, `hs_num_associated_contacts`, `hs_task_relative_reminders`, `hubspot_owner_assigneddate`, `hs_num_associated_companies`, `hs_task_sequence_step_order`, `hs_body_preview_is_truncated`, `hs_task_last_contact_outreach`, `hs_task_send_default_reminder`, `hs_num_associated_queue_objects`, `hs_task_probability_to_complete`, `hs_all_assigned_business_unit_ids`, `hs_task_sequence_enrollment_active`, `hs_task_sequence_step_enrollment_id`, `hs_task_last_sales_activity_timestamp`, `hs_user_ids_of_all_notification_followers`, `hs_user_ids_of_all_notification_unfollowers`, `_airbyte_ab_id`, `_airbyte_emitted_at`, `_airbyte_normalized_at`, `_airbyte_properties_hashid`) 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 05:07:15.028307 [debug] [Thread-1 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:07:15.028962 [info ] [Thread-1 ]: 59 of 77 OK created incremental model hubspot_.engagements_tasks_properties............................................. [MERGE (66.5k rows, 27.8 MB processed) in 165.22s] 2022-04-13 05:22:22 normalization > 05:07:15.029414 [debug] [Thread-1 ]: Finished running node model.airbyte_utils.engagements_tasks_properties 2022-04-13 05:22:22 normalization > 05:08:36.519630 [debug] [Thread-5 ]: BigQuery adapter: Retry attempt 1 of 3 after error: BadRequest("Invalid date: '1 an et demi'") 2022-04-13 05:22:22 normalization > 05:10:01.571047 [debug] [Thread-8 ]: 2022-04-13 05:22:22 normalization > In `mansagroup-datascience`.`hubspot_`.`engagements_emails_properties`: 2022-04-13 05:22:22 normalization > Schema changed: False 2022-04-13 05:22:22 normalization > Source columns not in target: [] 2022-04-13 05:22:22 normalization > Target columns not in source: [] 2022-04-13 05:22:22 normalization > New column types: [] 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 05:10:01.573214 [debug] [Thread-8 ]: Writing runtime SQL for node "model.airbyte_utils.engagements_emails_properties" 2022-04-13 05:22:22 normalization > 05:10:01.573592 [debug] [Thread-8 ]: On model.airbyte_utils.engagements_emails_properties: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.engagements_emails_properties"} */ 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > merge into `mansagroup-datascience`.hubspot_.`engagements_emails_properties` as DBT_INTERNAL_DEST 2022-04-13 05:22:22 normalization > using ( 2022-04-13 05:22:22 normalization > select * from `mansagroup-datascience`.hubspot_.`engagements_emails_properties__dbt_tmp` 2022-04-13 05:22:22 normalization > ) as DBT_INTERNAL_SOURCE 2022-04-13 05:22:22 normalization > on FALSE 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > when not matched then insert 2022-04-13 05:22:22 normalization > (`_airbyte_engagements_emails_hashid`, `hs_object_id`, `hs_timestamp`, `hs_unique_id`, `hs_created_by`, `hs_createdate`, `hs_email_html`, `hs_email_text`, `hs_modified_by`, `hs_all_team_ids`, `hs_body_preview`, `hs_email_cc_raw`, `hs_email_status`, `hs_email_to_raw`, `hs_gdpr_deleted`, `hs_product_name`, `hubspot_team_id`, `hs_all_owner_ids`, `hs_email_bcc_raw`, `hs_email_headers`, `hs_email_subject`, `hubspot_owner_id`, `hs_attachment_ids`, `hs_email_cc_email`, `hs_email_from_raw`, `hs_email_sent_via`, `hs_email_to_email`, `hs_email_bcc_email`, `hs_email_direction`, `hs_email_thread_id`, `hs_email_from_email`, `hs_email_message_id`, `hs_email_sender_raw`, `hs_follow_up_action`, `hs_lastmodifieddate`, `hs_body_preview_html`, `hs_email_cc_lastname`, `hs_email_logged_from`, `hs_email_to_lastname`, `hs_email_tracker_key`, `hs_engagement_source`, `hs_merged_object_ids`, `hs_created_by_user_id`, `hs_email_bcc_lastname`, `hs_email_cc_firstname`, `hs_email_sender_email`, `hs_email_to_firstname`, `hs_updated_by_user_id`, `hs_email_bcc_firstname`, `hs_email_error_message`, `hs_email_from_lastname`, `hs_email_send_event_id`, `hs_unique_creation_key`, `hs_email_from_firstname`, `hs_engagement_source_id`, `hs_queue_membership_ids`, `hs_email_sender_lastname`, `hs_at_mentioned_owner_ids`, `hs_email_post_send_status`, `hs_email_sender_firstname`, `hs_user_ids_of_all_owners`, `hs_all_accessible_team_ids`, `hs_direction_and_unique_id`, `hs_email_attached_video_id`, `hs_email_facsimile_send_id`, `hubspot_owner_assigneddate`, `hs_email_validation_skipped`, `hs_body_preview_is_truncated`, `hs_email_attached_video_name`, `hs_email_attached_video_opened`, `hs_email_send_event_id_created`, `hs_email_attached_video_watched`, `hs_email_recipient_drop_reasons`, `hs_email_media_processing_status`, `hs_all_assigned_business_unit_ids`, `hs_email_pending_inline_image_ids`, `hs_email_member_of_forwarded_subthread`, `hs_user_ids_of_all_notification_followers`, `hs_email_encoded_email_associations_request`, `hs_email_migrated_via_portal_data_migration`, `hs_user_ids_of_all_notification_unfollowers`, `_airbyte_ab_id`, `_airbyte_emitted_at`, `_airbyte_normalized_at`, `_airbyte_properties_hashid`) 2022-04-13 05:22:22 normalization > values 2022-04-13 05:22:22 normalization > (`_airbyte_engagements_emails_hashid`, `hs_object_id`, `hs_timestamp`, `hs_unique_id`, `hs_created_by`, `hs_createdate`, `hs_email_html`, `hs_email_text`, `hs_modified_by`, `hs_all_team_ids`, `hs_body_preview`, `hs_email_cc_raw`, `hs_email_status`, `hs_email_to_raw`, `hs_gdpr_deleted`, `hs_product_name`, `hubspot_team_id`, `hs_all_owner_ids`, `hs_email_bcc_raw`, `hs_email_headers`, `hs_email_subject`, `hubspot_owner_id`, `hs_attachment_ids`, `hs_email_cc_email`, `hs_email_from_raw`, `hs_email_sent_via`, `hs_email_to_email`, `hs_email_bcc_email`, `hs_email_direction`, `hs_email_thread_id`, `hs_email_from_email`, `hs_email_message_id`, `hs_email_sender_raw`, `hs_follow_up_action`, `hs_lastmodifieddate`, `hs_body_preview_html`, `hs_email_cc_lastname`, `hs_email_logged_from`, `hs_email_to_lastname`, `hs_email_tracker_key`, `hs_engagement_source`, `hs_merged_object_ids`, `hs_created_by_user_id`, `hs_email_bcc_lastname`, `hs_email_cc_firstname`, `hs_email_sender_email`, `hs_email_to_firstname`, `hs_updated_by_user_id`, `hs_email_bcc_firstname`, `hs_email_error_message`, `hs_email_from_lastname`, `hs_email_send_event_id`, `hs_unique_creation_key`, `hs_email_from_firstname`, `hs_engagement_source_id`, `hs_queue_membership_ids`, `hs_email_sender_lastname`, `hs_at_mentioned_owner_ids`, `hs_email_post_send_status`, `hs_email_sender_firstname`, `hs_user_ids_of_all_owners`, `hs_all_accessible_team_ids`, `hs_direction_and_unique_id`, `hs_email_attached_video_id`, `hs_email_facsimile_send_id`, `hubspot_owner_assigneddate`, `hs_email_validation_skipped`, `hs_body_preview_is_truncated`, `hs_email_attached_video_name`, `hs_email_attached_video_opened`, `hs_email_send_event_id_created`, `hs_email_attached_video_watched`, `hs_email_recipient_drop_reasons`, `hs_email_media_processing_status`, `hs_all_assigned_business_unit_ids`, `hs_email_pending_inline_image_ids`, `hs_email_member_of_forwarded_subthread`, `hs_user_ids_of_all_notification_followers`, `hs_email_encoded_email_associations_request`, `hs_email_migrated_via_portal_data_migration`, `hs_user_ids_of_all_notification_unfollowers`, `_airbyte_ab_id`, `_airbyte_emitted_at`, `_airbyte_normalized_at`, `_airbyte_properties_hashid`) 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 05:10:03.477859 [debug] [Thread-2 ]: 2022-04-13 05:22:22 normalization > In `mansagroup-datascience`.`hubspot_`.`engagements_metadata`: 2022-04-13 05:22:22 normalization > Schema changed: False 2022-04-13 05:22:22 normalization > Source columns not in target: [] 2022-04-13 05:22:22 normalization > Target columns not in source: [] 2022-04-13 05:22:22 normalization > New column types: [] 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 05:10:03.479502 [debug] [Thread-2 ]: Writing runtime SQL for node "model.airbyte_utils.engagements_metadata" 2022-04-13 05:22:22 normalization > 05:10:03.479862 [debug] [Thread-2 ]: On model.airbyte_utils.engagements_metadata: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.engagements_metadata"} */ 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > merge into `mansagroup-datascience`.hubspot_.`engagements_metadata` as DBT_INTERNAL_DEST 2022-04-13 05:22:22 normalization > using ( 2022-04-13 05:22:22 normalization > select * from `mansagroup-datascience`.hubspot_.`engagements_metadata__dbt_tmp` 2022-04-13 05:22:22 normalization > ) as DBT_INTERNAL_SOURCE 2022-04-13 05:22:22 normalization > on FALSE 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > when not matched then insert 2022-04-13 05:22:22 normalization > (`_airbyte_engagements_hashid`, `cc`, `to`, `bcc`, `body`, `from`, `html`, `text`, `title`, `sender`, `source`, `status`, `endTime`, `sentVia`, `subject`, `isAllDay`, `priority`, `sourceId`, `taskType`, `threadId`, `toNumber`, `messageId`, `reminders`, `startTime`, `externalId`, `fromNumber`, `loggedFrom`, `trackerKey`, `disposition`, `externalUrl`, `errorMessage`, `recordingUrl`, `forObjectType`, `calleeObjectId`, `completionDate`, `postSendStatus`, `facsimileSendId`, `calleeObjectType`, `externalAccountId`, `sequenceStepOrder`, `attachedVideoOpened`, `sendDefaultReminder`, `attachedVideoWatched`, `durationMilliseconds`, `recipientDropReasons`, `mediaProcessingStatus`, `unknownVisitorConversation`, `_airbyte_ab_id`, `_airbyte_emitted_at`, `_airbyte_normalized_at`, `_airbyte_metadata_hashid`) 2022-04-13 05:22:22 normalization > values 2022-04-13 05:22:22 normalization > (`_airbyte_engagements_hashid`, `cc`, `to`, `bcc`, `body`, `from`, `html`, `text`, `title`, `sender`, `source`, `status`, `endTime`, `sentVia`, `subject`, `isAllDay`, `priority`, `sourceId`, `taskType`, `threadId`, `toNumber`, `messageId`, `reminders`, `startTime`, `externalId`, `fromNumber`, `loggedFrom`, `trackerKey`, `disposition`, `externalUrl`, `errorMessage`, `recordingUrl`, `forObjectType`, `calleeObjectId`, `completionDate`, `postSendStatus`, `facsimileSendId`, `calleeObjectType`, `externalAccountId`, `sequenceStepOrder`, `attachedVideoOpened`, `sendDefaultReminder`, `attachedVideoWatched`, `durationMilliseconds`, `recipientDropReasons`, `mediaProcessingStatus`, `unknownVisitorConversation`, `_airbyte_ab_id`, `_airbyte_emitted_at`, `_airbyte_normalized_at`, `_airbyte_metadata_hashid`) 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 05:10:12.477570 [debug] [Thread-8 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:10:12.478256 [info ] [Thread-8 ]: 61 of 77 OK created incremental model hubspot_.engagements_emails_properties............................................ [MERGE (108.2k rows, 1.6 GB processed) in 341.25s] 2022-04-13 05:22:22 normalization > 05:10:12.478697 [debug] [Thread-8 ]: Finished running node model.airbyte_utils.engagements_emails_properties 2022-04-13 05:22:22 normalization > 05:10:15.144533 [debug] [Thread-2 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:10:15.145218 [info ] [Thread-2 ]: 72 of 77 OK created incremental model hubspot_.engagements_metadata..................................................... [MERGE (323.7k rows, 1.2 GB processed) in 273.95s] 2022-04-13 05:22:22 normalization > 05:10:15.145653 [debug] [Thread-2 ]: Finished running node model.airbyte_utils.engagements_metadata 2022-04-13 05:22:22 normalization > 05:10:15.146298 [debug] [Thread-6 ]: Began running node model.airbyte_utils.engagements_metadata_bcc_ab1 2022-04-13 05:22:22 normalization > 05:10:15.146574 [debug] [Thread-3 ]: Began running node model.airbyte_utils.engagements_metadata_cc_ab1 2022-04-13 05:22:22 normalization > 05:10:15.146996 [debug] [Thread-6 ]: Acquiring new bigquery connection "model.airbyte_utils.engagements_metadata_bcc_ab1" 2022-04-13 05:22:22 normalization > 05:10:15.147206 [debug] [Thread-4 ]: Began running node model.airbyte_utils.engagements_metadata_from_ab1 2022-04-13 05:22:22 normalization > 05:10:15.147516 [debug] [Thread-1 ]: Began running node model.airbyte_utils.engagements_metadata_sender_ab1 2022-04-13 05:22:22 normalization > 05:10:15.147932 [debug] [Thread-3 ]: Acquiring new bigquery connection "model.airbyte_utils.engagements_metadata_cc_ab1" 2022-04-13 05:22:22 normalization > 05:10:15.148119 [debug] [Thread-8 ]: Began running node model.airbyte_utils.engagements_metadata_to_ab1 2022-04-13 05:22:22 normalization > 05:10:15.148383 [debug] [Thread-6 ]: Began compiling node model.airbyte_utils.engagements_metadata_bcc_ab1 2022-04-13 05:22:22 normalization > 05:10:15.148829 [debug] [Thread-4 ]: Acquiring new bigquery connection "model.airbyte_utils.engagements_metadata_from_ab1" 2022-04-13 05:22:22 normalization > 05:10:15.149270 [debug] [Thread-1 ]: Acquiring new bigquery connection "model.airbyte_utils.engagements_metadata_sender_ab1" 2022-04-13 05:22:22 normalization > 05:10:15.149508 [debug] [Thread-3 ]: Began compiling node model.airbyte_utils.engagements_metadata_cc_ab1 2022-04-13 05:22:22 normalization > 05:10:15.149905 [debug] [Thread-8 ]: Acquiring new bigquery connection "model.airbyte_utils.engagements_metadata_to_ab1" 2022-04-13 05:22:22 normalization > 05:10:15.150132 [debug] [Thread-6 ]: Compiling model.airbyte_utils.engagements_metadata_bcc_ab1 2022-04-13 05:22:22 normalization > 05:10:15.150378 [debug] [Thread-4 ]: Began compiling node model.airbyte_utils.engagements_metadata_from_ab1 2022-04-13 05:22:22 normalization > 05:10:15.150612 [debug] [Thread-1 ]: Began compiling node model.airbyte_utils.engagements_metadata_sender_ab1 2022-04-13 05:22:22 normalization > 05:10:15.150846 [debug] [Thread-3 ]: Compiling model.airbyte_utils.engagements_metadata_cc_ab1 2022-04-13 05:22:22 normalization > 05:10:15.151054 [debug] [Thread-8 ]: Began compiling node model.airbyte_utils.engagements_metadata_to_ab1 2022-04-13 05:22:22 normalization > 05:10:15.158531 [debug] [Thread-6 ]: On "model.airbyte_utils.engagements_metadata_bcc_ab1": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:22 normalization > 05:10:15.158751 [debug] [Thread-4 ]: Compiling model.airbyte_utils.engagements_metadata_from_ab1 2022-04-13 05:22:22 normalization > 05:10:15.158998 [debug] [Thread-1 ]: Compiling model.airbyte_utils.engagements_metadata_sender_ab1 2022-04-13 05:22:22 normalization > 05:10:15.168832 [debug] [Thread-3 ]: On "model.airbyte_utils.engagements_metadata_cc_ab1": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:22 normalization > 05:10:15.169065 [debug] [Thread-8 ]: Compiling model.airbyte_utils.engagements_metadata_to_ab1 2022-04-13 05:22:22 normalization > 05:10:15.169326 [debug] [Thread-6 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:22 normalization > 05:10:15.179263 [debug] [Thread-4 ]: On "model.airbyte_utils.engagements_metadata_from_ab1": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:22 normalization > 05:10:15.184840 [debug] [Thread-1 ]: On "model.airbyte_utils.engagements_metadata_sender_ab1": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:22 normalization > 05:10:15.185087 [debug] [Thread-3 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:22 normalization > 05:10:15.196124 [debug] [Thread-8 ]: On "model.airbyte_utils.engagements_metadata_to_ab1": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:22 normalization > 05:10:15.196522 [debug] [Thread-4 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:22 normalization > 05:10:15.196773 [debug] [Thread-1 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:22 normalization > 05:10:15.197212 [debug] [Thread-8 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:22 normalization > 05:10:15.527670 [debug] [Thread-1 ]: Writing injected SQL for node "model.airbyte_utils.engagements_metadata_sender_ab1" 2022-04-13 05:22:22 normalization > 05:10:15.528258 [debug] [Thread-6 ]: Writing injected SQL for node "model.airbyte_utils.engagements_metadata_bcc_ab1" 2022-04-13 05:22:22 normalization > 05:10:15.530241 [debug] [Thread-4 ]: Writing injected SQL for node "model.airbyte_utils.engagements_metadata_from_ab1" 2022-04-13 05:22:22 normalization > 05:10:15.531638 [debug] [Thread-3 ]: Writing injected SQL for node "model.airbyte_utils.engagements_metadata_cc_ab1" 2022-04-13 05:22:22 normalization > 05:10:15.531883 [debug] [Thread-1 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:10:15.532722 [debug] [Thread-6 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:10:15.535456 [debug] [Thread-6 ]: Finished running node model.airbyte_utils.engagements_metadata_bcc_ab1 2022-04-13 05:22:22 normalization > 05:10:15.533671 [debug] [Thread-4 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:10:15.534499 [debug] [Thread-1 ]: Finished running node model.airbyte_utils.engagements_metadata_sender_ab1 2022-04-13 05:22:22 normalization > 05:10:15.534800 [debug] [Thread-3 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:10:15.533440 [debug] [Thread-8 ]: Writing injected SQL for node "model.airbyte_utils.engagements_metadata_to_ab1" 2022-04-13 05:22:22 normalization > 05:10:15.536449 [debug] [Thread-4 ]: Finished running node model.airbyte_utils.engagements_metadata_from_ab1 2022-04-13 05:22:22 normalization > 05:10:15.536756 [debug] [Thread-2 ]: Began running node model.airbyte_utils.engagements_metadata_bcc_ab2 2022-04-13 05:22:22 normalization > 05:10:15.537808 [debug] [Thread-3 ]: Finished running node model.airbyte_utils.engagements_metadata_cc_ab1 2022-04-13 05:22:22 normalization > 05:10:15.538073 [debug] [Thread-1 ]: Began running node model.airbyte_utils.engagements_metadata_sender_ab2 2022-04-13 05:22:22 normalization > 05:10:15.539136 [debug] [Thread-2 ]: Acquiring new bigquery connection "model.airbyte_utils.engagements_metadata_bcc_ab2" 2022-04-13 05:22:22 normalization > 05:10:15.539486 [debug] [Thread-8 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:10:15.539724 [debug] [Thread-6 ]: Began running node model.airbyte_utils.engagements_metadata_from_ab2 2022-04-13 05:22:22 normalization > 05:10:15.540566 [debug] [Thread-1 ]: Acquiring new bigquery connection "model.airbyte_utils.engagements_metadata_sender_ab2" 2022-04-13 05:22:22 normalization > 05:10:15.540823 [debug] [Thread-4 ]: Began running node model.airbyte_utils.engagements_metadata_cc_ab2 2022-04-13 05:22:22 normalization > 05:10:15.541114 [debug] [Thread-2 ]: Began compiling node model.airbyte_utils.engagements_metadata_bcc_ab2 2022-04-13 05:22:22 normalization > 05:10:15.541698 [debug] [Thread-8 ]: Finished running node model.airbyte_utils.engagements_metadata_to_ab1 2022-04-13 05:22:22 normalization > 05:10:15.542268 [debug] [Thread-6 ]: Acquiring new bigquery connection "model.airbyte_utils.engagements_metadata_from_ab2" 2022-04-13 05:22:22 normalization > 05:10:15.542612 [debug] [Thread-1 ]: Began compiling node model.airbyte_utils.engagements_metadata_sender_ab2 2022-04-13 05:22:22 normalization > 05:10:15.543007 [debug] [Thread-4 ]: Acquiring new bigquery connection "model.airbyte_utils.engagements_metadata_cc_ab2" 2022-04-13 05:22:22 normalization > 05:10:15.543325 [debug] [Thread-2 ]: Compiling model.airbyte_utils.engagements_metadata_bcc_ab2 2022-04-13 05:22:22 normalization > 05:10:15.543946 [debug] [Thread-6 ]: Began compiling node model.airbyte_utils.engagements_metadata_from_ab2 2022-04-13 05:22:22 normalization > 05:10:15.544264 [debug] [Thread-3 ]: Began running node model.airbyte_utils.engagements_metadata_to_ab2 2022-04-13 05:22:22 normalization > 05:10:15.544569 [debug] [Thread-1 ]: Compiling model.airbyte_utils.engagements_metadata_sender_ab2 2022-04-13 05:22:22 normalization > 05:10:15.544910 [debug] [Thread-4 ]: Began compiling node model.airbyte_utils.engagements_metadata_cc_ab2 2022-04-13 05:22:22 normalization > 05:10:15.552910 [debug] [Thread-2 ]: On "model.airbyte_utils.engagements_metadata_bcc_ab2": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:22 normalization > 05:10:15.553183 [debug] [Thread-6 ]: Compiling model.airbyte_utils.engagements_metadata_from_ab2 2022-04-13 05:22:22 normalization > 05:10:15.553683 [debug] [Thread-3 ]: Acquiring new bigquery connection "model.airbyte_utils.engagements_metadata_to_ab2" 2022-04-13 05:22:22 normalization > 05:10:15.556552 [debug] [Thread-4 ]: Compiling model.airbyte_utils.engagements_metadata_cc_ab2 2022-04-13 05:22:22 normalization > 05:10:15.557695 [debug] [Thread-2 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:22 normalization > 05:10:15.566235 [debug] [Thread-6 ]: On "model.airbyte_utils.engagements_metadata_from_ab2": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:22 normalization > 05:10:15.566835 [debug] [Thread-3 ]: Began compiling node model.airbyte_utils.engagements_metadata_to_ab2 2022-04-13 05:22:22 normalization > 05:10:15.582851 [debug] [Thread-4 ]: On "model.airbyte_utils.engagements_metadata_cc_ab2": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:22 normalization > 05:10:15.587445 [debug] [Thread-1 ]: On "model.airbyte_utils.engagements_metadata_sender_ab2": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:22 normalization > 05:10:15.587848 [debug] [Thread-6 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:22 normalization > 05:10:15.588475 [debug] [Thread-3 ]: Compiling model.airbyte_utils.engagements_metadata_to_ab2 2022-04-13 05:22:22 normalization > 05:10:15.588772 [debug] [Thread-4 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:22 normalization > 05:10:15.589040 [debug] [Thread-1 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:22 normalization > 05:10:15.595884 [debug] [Thread-3 ]: On "model.airbyte_utils.engagements_metadata_to_ab2": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:22 normalization > 05:10:15.596610 [debug] [Thread-3 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:22 normalization > 05:10:15.903130 [debug] [Thread-4 ]: Writing injected SQL for node "model.airbyte_utils.engagements_metadata_cc_ab2" 2022-04-13 05:22:22 normalization > 05:10:15.903549 [debug] [Thread-4 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:10:15.904013 [debug] [Thread-4 ]: Finished running node model.airbyte_utils.engagements_metadata_cc_ab2 2022-04-13 05:22:22 normalization > 05:10:15.904567 [debug] [Thread-8 ]: Began running node model.airbyte_utils.engagements_metadata_cc_ab3 2022-04-13 05:22:22 normalization > 05:10:15.904989 [debug] [Thread-8 ]: Acquiring new bigquery connection "model.airbyte_utils.engagements_metadata_cc_ab3" 2022-04-13 05:22:22 normalization > 05:10:15.905169 [debug] [Thread-8 ]: Began compiling node model.airbyte_utils.engagements_metadata_cc_ab3 2022-04-13 05:22:22 normalization > 05:10:15.905358 [debug] [Thread-8 ]: Compiling model.airbyte_utils.engagements_metadata_cc_ab3 2022-04-13 05:22:22 normalization > 05:10:15.912290 [debug] [Thread-8 ]: On "model.airbyte_utils.engagements_metadata_cc_ab3": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:22 normalization > 05:10:15.913621 [debug] [Thread-8 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:22 normalization > 05:10:15.920050 [debug] [Thread-6 ]: Writing injected SQL for node "model.airbyte_utils.engagements_metadata_from_ab2" 2022-04-13 05:22:22 normalization > 05:10:15.926452 [debug] [Thread-2 ]: Writing injected SQL for node "model.airbyte_utils.engagements_metadata_bcc_ab2" 2022-04-13 05:22:22 normalization > 05:10:15.926661 [debug] [Thread-6 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:10:15.930617 [debug] [Thread-1 ]: Writing injected SQL for node "model.airbyte_utils.engagements_metadata_sender_ab2" 2022-04-13 05:22:22 normalization > 05:10:15.936753 [debug] [Thread-6 ]: Finished running node model.airbyte_utils.engagements_metadata_from_ab2 2022-04-13 05:22:22 normalization > 05:10:15.937077 [debug] [Thread-3 ]: Writing injected SQL for node "model.airbyte_utils.engagements_metadata_to_ab2" 2022-04-13 05:22:22 normalization > 05:10:15.937323 [debug] [Thread-2 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:10:15.938472 [debug] [Thread-1 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:10:15.938970 [debug] [Thread-4 ]: Began running node model.airbyte_utils.engagements_metadata_from_ab3 2022-04-13 05:22:22 normalization > 05:10:15.939466 [debug] [Thread-2 ]: Finished running node model.airbyte_utils.engagements_metadata_bcc_ab2 2022-04-13 05:22:22 normalization > 05:10:15.942131 [debug] [Thread-1 ]: Finished running node model.airbyte_utils.engagements_metadata_sender_ab2 2022-04-13 05:22:22 normalization > 05:10:15.942351 [debug] [Thread-3 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:10:15.942734 [debug] [Thread-4 ]: Acquiring new bigquery connection "model.airbyte_utils.engagements_metadata_from_ab3" 2022-04-13 05:22:22 normalization > 05:10:15.943310 [debug] [Thread-6 ]: Began running node model.airbyte_utils.engagements_metadata_bcc_ab3 2022-04-13 05:22:22 normalization > 05:10:15.943967 [debug] [Thread-3 ]: Finished running node model.airbyte_utils.engagements_metadata_to_ab2 2022-04-13 05:22:22 normalization > 05:10:15.944221 [debug] [Thread-1 ]: Began running node model.airbyte_utils.engagements_metadata_sender_ab3 2022-04-13 05:22:22 normalization > 05:10:15.944470 [debug] [Thread-4 ]: Began compiling node model.airbyte_utils.engagements_metadata_from_ab3 2022-04-13 05:22:22 normalization > 05:10:15.944883 [debug] [Thread-6 ]: Acquiring new bigquery connection "model.airbyte_utils.engagements_metadata_bcc_ab3" 2022-04-13 05:22:22 normalization > 05:10:15.945382 [debug] [Thread-2 ]: Began running node model.airbyte_utils.engagements_metadata_to_ab3 2022-04-13 05:22:22 normalization > 05:10:15.945819 [debug] [Thread-1 ]: Acquiring new bigquery connection "model.airbyte_utils.engagements_metadata_sender_ab3" 2022-04-13 05:22:22 normalization > 05:10:15.946118 [debug] [Thread-4 ]: Compiling model.airbyte_utils.engagements_metadata_from_ab3 2022-04-13 05:22:22 normalization > 05:10:15.946357 [debug] [Thread-6 ]: Began compiling node model.airbyte_utils.engagements_metadata_bcc_ab3 2022-04-13 05:22:22 normalization > 05:10:15.946764 [debug] [Thread-2 ]: Acquiring new bigquery connection "model.airbyte_utils.engagements_metadata_to_ab3" 2022-04-13 05:22:22 normalization > 05:10:15.947045 [debug] [Thread-1 ]: Began compiling node model.airbyte_utils.engagements_metadata_sender_ab3 2022-04-13 05:22:22 normalization > 05:10:15.950059 [debug] [Thread-6 ]: Compiling model.airbyte_utils.engagements_metadata_bcc_ab3 2022-04-13 05:22:22 normalization > 05:10:15.950804 [debug] [Thread-2 ]: Began compiling node model.airbyte_utils.engagements_metadata_to_ab3 2022-04-13 05:22:22 normalization > 05:10:15.951410 [debug] [Thread-1 ]: Compiling model.airbyte_utils.engagements_metadata_sender_ab3 2022-04-13 05:22:22 normalization > 05:10:15.968661 [debug] [Thread-4 ]: On "model.airbyte_utils.engagements_metadata_from_ab3": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:22 normalization > 05:10:15.969690 [debug] [Thread-6 ]: On "model.airbyte_utils.engagements_metadata_bcc_ab3": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:22 normalization > 05:10:15.970037 [debug] [Thread-2 ]: Compiling model.airbyte_utils.engagements_metadata_to_ab3 2022-04-13 05:22:22 normalization > 05:10:15.976615 [debug] [Thread-1 ]: On "model.airbyte_utils.engagements_metadata_sender_ab3": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:22 normalization > 05:10:15.977096 [debug] [Thread-4 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:22 normalization > 05:10:15.977463 [debug] [Thread-6 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:22 normalization > 05:10:15.984085 [debug] [Thread-2 ]: On "model.airbyte_utils.engagements_metadata_to_ab3": cache miss for schema "{self.database}.{self.schema}", this is inefficient 2022-04-13 05:22:22 normalization > 05:10:15.984426 [debug] [Thread-1 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:22 normalization > 05:10:15.987251 [debug] [Thread-2 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:22 normalization > 05:10:16.260452 [debug] [Thread-1 ]: Writing injected SQL for node "model.airbyte_utils.engagements_metadata_sender_ab3" 2022-04-13 05:22:22 normalization > 05:10:16.270388 [debug] [Thread-2 ]: Writing injected SQL for node "model.airbyte_utils.engagements_metadata_to_ab3" 2022-04-13 05:22:22 normalization > 05:10:16.271705 [debug] [Thread-1 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:10:16.272419 [debug] [Thread-1 ]: Finished running node model.airbyte_utils.engagements_metadata_sender_ab3 2022-04-13 05:22:22 normalization > 05:10:16.281537 [debug] [Thread-8 ]: Writing injected SQL for node "model.airbyte_utils.engagements_metadata_cc_ab3" 2022-04-13 05:22:22 normalization > 05:10:16.282235 [debug] [Thread-2 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:10:16.282484 [debug] [Thread-3 ]: Began running node model.airbyte_utils.engagements_metadata_sender 2022-04-13 05:22:22 normalization > 05:10:16.287732 [debug] [Thread-6 ]: Writing injected SQL for node "model.airbyte_utils.engagements_metadata_bcc_ab3" 2022-04-13 05:22:22 normalization > 05:10:16.287924 [debug] [Thread-8 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:10:16.288455 [debug] [Thread-2 ]: Finished running node model.airbyte_utils.engagements_metadata_to_ab3 2022-04-13 05:22:22 normalization > 05:10:16.288888 [info ] [Thread-3 ]: 73 of 77 START incremental model hubspot_.engagements_metadata_sender................................................... [RUN] 2022-04-13 05:22:22 normalization > 05:10:16.296787 [debug] [Thread-4 ]: Writing injected SQL for node "model.airbyte_utils.engagements_metadata_from_ab3" 2022-04-13 05:22:22 normalization > 05:10:16.297380 [debug] [Thread-8 ]: Finished running node model.airbyte_utils.engagements_metadata_cc_ab3 2022-04-13 05:22:22 normalization > 05:10:16.297729 [debug] [Thread-6 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:10:16.298457 [debug] [Thread-1 ]: Began running node model.airbyte_utils.engagements_metadata_to 2022-04-13 05:22:22 normalization > 05:10:16.298870 [debug] [Thread-3 ]: Acquiring new bigquery connection "model.airbyte_utils.engagements_metadata_sender" 2022-04-13 05:22:22 normalization > 05:10:16.299496 [debug] [Thread-4 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:10:16.299944 [debug] [Thread-6 ]: Finished running node model.airbyte_utils.engagements_metadata_bcc_ab3 2022-04-13 05:22:22 normalization > 05:10:16.300138 [debug] [Thread-2 ]: Began running node model.airbyte_utils.engagements_metadata_cc 2022-04-13 05:22:22 normalization > 05:10:16.300521 [info ] [Thread-1 ]: 74 of 77 START incremental model hubspot_.engagements_metadata_to....................................................... [RUN] 2022-04-13 05:22:22 normalization > 05:10:16.300776 [debug] [Thread-3 ]: Began compiling node model.airbyte_utils.engagements_metadata_sender 2022-04-13 05:22:22 normalization > 05:10:16.301214 [debug] [Thread-4 ]: Finished running node model.airbyte_utils.engagements_metadata_from_ab3 2022-04-13 05:22:22 normalization > 05:10:16.301684 [debug] [Thread-8 ]: Began running node model.airbyte_utils.engagements_metadata_bcc 2022-04-13 05:22:22 normalization > 05:10:16.301983 [info ] [Thread-2 ]: 75 of 77 START incremental model hubspot_.engagements_metadata_cc....................................................... [RUN] 2022-04-13 05:22:22 normalization > 05:10:16.302568 [debug] [Thread-1 ]: Acquiring new bigquery connection "model.airbyte_utils.engagements_metadata_to" 2022-04-13 05:22:22 normalization > 05:10:16.302804 [debug] [Thread-3 ]: Compiling model.airbyte_utils.engagements_metadata_sender 2022-04-13 05:22:22 normalization > 05:10:16.303435 [info ] [Thread-8 ]: 76 of 77 START incremental model hubspot_.engagements_metadata_bcc...................................................... [RUN] 2022-04-13 05:22:22 normalization > 05:10:16.303641 [debug] [Thread-6 ]: Began running node model.airbyte_utils.engagements_metadata_from 2022-04-13 05:22:22 normalization > 05:10:16.304354 [debug] [Thread-2 ]: Acquiring new bigquery connection "model.airbyte_utils.engagements_metadata_cc" 2022-04-13 05:22:22 normalization > 05:10:16.304539 [debug] [Thread-1 ]: Began compiling node model.airbyte_utils.engagements_metadata_to 2022-04-13 05:22:22 normalization > 05:10:16.307349 [debug] [Thread-8 ]: Acquiring new bigquery connection "model.airbyte_utils.engagements_metadata_bcc" 2022-04-13 05:22:22 normalization > 05:10:16.307708 [info ] [Thread-6 ]: 77 of 77 START incremental model hubspot_.engagements_metadata_from..................................................... [RUN] 2022-04-13 05:22:22 normalization > 05:10:16.317298 [debug] [Thread-3 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:22 normalization > 05:10:16.317554 [debug] [Thread-2 ]: Began compiling node model.airbyte_utils.engagements_metadata_cc 2022-04-13 05:22:22 normalization > 05:10:16.317808 [debug] [Thread-1 ]: Compiling model.airbyte_utils.engagements_metadata_to 2022-04-13 05:22:22 normalization > 05:10:16.318041 [debug] [Thread-8 ]: Began compiling node model.airbyte_utils.engagements_metadata_bcc 2022-04-13 05:22:22 normalization > 05:10:16.318635 [debug] [Thread-6 ]: Acquiring new bigquery connection "model.airbyte_utils.engagements_metadata_from" 2022-04-13 05:22:22 normalization > 05:10:16.319020 [debug] [Thread-2 ]: Compiling model.airbyte_utils.engagements_metadata_cc 2022-04-13 05:22:22 normalization > 05:10:16.326288 [debug] [Thread-1 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:22 normalization > 05:10:16.326511 [debug] [Thread-8 ]: Compiling model.airbyte_utils.engagements_metadata_bcc 2022-04-13 05:22:22 normalization > 05:10:16.327728 [debug] [Thread-6 ]: Began compiling node model.airbyte_utils.engagements_metadata_from 2022-04-13 05:22:22 normalization > 05:10:16.334644 [debug] [Thread-2 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:22 normalization > 05:10:16.345737 [debug] [Thread-8 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:22 normalization > 05:10:16.345958 [debug] [Thread-6 ]: Compiling model.airbyte_utils.engagements_metadata_from 2022-04-13 05:22:22 normalization > 05:10:16.354047 [debug] [Thread-6 ]: Opening a new connection, currently in state closed 2022-04-13 05:22:22 normalization > 05:10:16.452136 [debug] [Thread-8 ]: Writing injected SQL for node "model.airbyte_utils.engagements_metadata_bcc" 2022-04-13 05:22:22 normalization > 05:10:16.459576 [debug] [Thread-1 ]: Writing injected SQL for node "model.airbyte_utils.engagements_metadata_to" 2022-04-13 05:22:22 normalization > 05:10:16.466500 [debug] [Thread-3 ]: Writing injected SQL for node "model.airbyte_utils.engagements_metadata_sender" 2022-04-13 05:22:22 normalization > 05:10:16.472374 [debug] [Thread-1 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:10:16.472985 [debug] [Thread-3 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:10:16.473186 [debug] [Thread-1 ]: Began executing node model.airbyte_utils.engagements_metadata_to 2022-04-13 05:22:22 normalization > 05:10:16.473627 [debug] [Thread-8 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:10:16.474723 [debug] [Thread-6 ]: Writing injected SQL for node "model.airbyte_utils.engagements_metadata_from" 2022-04-13 05:22:22 normalization > 05:10:16.480142 [debug] [Thread-3 ]: Began executing node model.airbyte_utils.engagements_metadata_sender 2022-04-13 05:22:22 normalization > 05:10:16.481302 [debug] [Thread-2 ]: Writing injected SQL for node "model.airbyte_utils.engagements_metadata_cc" 2022-04-13 05:22:22 normalization > 05:10:16.486221 [debug] [Thread-8 ]: Began executing node model.airbyte_utils.engagements_metadata_bcc 2022-04-13 05:22:22 normalization > 05:10:16.490913 [debug] [Thread-6 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:10:16.493835 [debug] [Thread-2 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:10:16.495434 [debug] [Thread-6 ]: Began executing node model.airbyte_utils.engagements_metadata_from 2022-04-13 05:22:22 normalization > 05:10:16.496016 [debug] [Thread-2 ]: Began executing node model.airbyte_utils.engagements_metadata_cc 2022-04-13 05:22:22 normalization > 05:10:16.533896 [debug] [Thread-3 ]: On model.airbyte_utils.engagements_metadata_sender: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.engagements_metadata_sender"} */ 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > create or replace table `mansagroup-datascience`.hubspot_.`engagements_metadata_sender__dbt_tmp` 2022-04-13 05:22:22 normalization > partition by timestamp_trunc(_airbyte_emitted_at, day) 2022-04-13 05:22:22 normalization > cluster by _airbyte_emitted_at 2022-04-13 05:22:22 normalization > OPTIONS( 2022-04-13 05:22:22 normalization > expiration_timestamp=TIMESTAMP_ADD(CURRENT_TIMESTAMP(), INTERVAL 12 hour) 2022-04-13 05:22:22 normalization > ) 2022-04-13 05:22:22 normalization > as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > with __dbt__cte__engagements_metadata_sender_ab1 as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema 2022-04-13 05:22:22 normalization > -- depends_on: `mansagroup-datascience`.hubspot_.`engagements_metadata` 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > _airbyte_metadata_hashid, 2022-04-13 05:22:22 normalization > json_extract_scalar(sender, "$['email']") as email, 2022-04-13 05:22:22 normalization > _airbyte_ab_id, 2022-04-13 05:22:22 normalization > _airbyte_emitted_at, 2022-04-13 05:22:22 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:22 normalization > from `mansagroup-datascience`.hubspot_.`engagements_metadata` as table_alias 2022-04-13 05:22:22 normalization > -- sender at engagements/metadata/sender 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > and sender is not null 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > ), __dbt__cte__engagements_metadata_sender_ab2 as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type 2022-04-13 05:22:22 normalization > -- depends_on: __dbt__cte__engagements_metadata_sender_ab1 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > _airbyte_metadata_hashid, 2022-04-13 05:22:22 normalization > cast(email as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as email, 2022-04-13 05:22:22 normalization > _airbyte_ab_id, 2022-04-13 05:22:22 normalization > _airbyte_emitted_at, 2022-04-13 05:22:22 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:22 normalization > from __dbt__cte__engagements_metadata_sender_ab1 2022-04-13 05:22:22 normalization > -- sender at engagements/metadata/sender 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > ), __dbt__cte__engagements_metadata_sender_ab3 as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > -- SQL model to build a hash column based on the values of this record 2022-04-13 05:22:22 normalization > -- depends_on: __dbt__cte__engagements_metadata_sender_ab2 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > to_hex(md5(cast(concat(coalesce(cast(_airbyte_metadata_hashid as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(email as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), '')) as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ))) as _airbyte_sender_hashid, 2022-04-13 05:22:22 normalization > tmp.* 2022-04-13 05:22:22 normalization > from __dbt__cte__engagements_metadata_sender_ab2 tmp 2022-04-13 05:22:22 normalization > -- sender at engagements/metadata/sender 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > )-- Final base SQL model 2022-04-13 05:22:22 normalization > -- depends_on: __dbt__cte__engagements_metadata_sender_ab3 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > _airbyte_metadata_hashid, 2022-04-13 05:22:22 normalization > email, 2022-04-13 05:22:22 normalization > _airbyte_ab_id, 2022-04-13 05:22:22 normalization > _airbyte_emitted_at, 2022-04-13 05:22:22 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at, 2022-04-13 05:22:22 normalization > _airbyte_sender_hashid 2022-04-13 05:22:22 normalization > from __dbt__cte__engagements_metadata_sender_ab3 2022-04-13 05:22:22 normalization > -- sender at engagements/metadata/sender from `mansagroup-datascience`.hubspot_.`engagements_metadata` 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > and coalesce( 2022-04-13 05:22:22 normalization > cast(_airbyte_emitted_at as 2022-04-13 05:22:22 normalization > timestamp 2022-04-13 05:22:22 normalization > ) >= (select max(cast(_airbyte_emitted_at as 2022-04-13 05:22:22 normalization > timestamp 2022-04-13 05:22:22 normalization > )) from `mansagroup-datascience`.hubspot_.`engagements_metadata_sender`), 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > true) 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > ); 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 05:10:16.539855 [debug] [Thread-8 ]: On model.airbyte_utils.engagements_metadata_bcc: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.engagements_metadata_bcc"} */ 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > create or replace table `mansagroup-datascience`.hubspot_.`engagements_metadata_bcc__dbt_tmp` 2022-04-13 05:22:22 normalization > partition by timestamp_trunc(_airbyte_emitted_at, day) 2022-04-13 05:22:22 normalization > cluster by _airbyte_emitted_at 2022-04-13 05:22:22 normalization > OPTIONS( 2022-04-13 05:22:22 normalization > expiration_timestamp=TIMESTAMP_ADD(CURRENT_TIMESTAMP(), INTERVAL 12 hour) 2022-04-13 05:22:22 normalization > ) 2022-04-13 05:22:22 normalization > as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > with __dbt__cte__engagements_metadata_bcc_ab1 as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema 2022-04-13 05:22:22 normalization > -- depends_on: `mansagroup-datascience`.hubspot_.`engagements_metadata` 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > _airbyte_metadata_hashid, 2022-04-13 05:22:22 normalization > json_extract_scalar(bcc, "$['email']") as email, 2022-04-13 05:22:22 normalization > _airbyte_ab_id, 2022-04-13 05:22:22 normalization > _airbyte_emitted_at, 2022-04-13 05:22:22 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:22 normalization > from `mansagroup-datascience`.hubspot_.`engagements_metadata` as table_alias 2022-04-13 05:22:22 normalization > -- bcc at engagements/metadata/bcc 2022-04-13 05:22:22 normalization > cross join unnest(bcc) as bcc 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > and bcc is not null 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > ), __dbt__cte__engagements_metadata_bcc_ab2 as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type 2022-04-13 05:22:22 normalization > -- depends_on: __dbt__cte__engagements_metadata_bcc_ab1 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > _airbyte_metadata_hashid, 2022-04-13 05:22:22 normalization > cast(email as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as email, 2022-04-13 05:22:22 normalization > _airbyte_ab_id, 2022-04-13 05:22:22 normalization > _airbyte_emitted_at, 2022-04-13 05:22:22 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:22 normalization > from __dbt__cte__engagements_metadata_bcc_ab1 2022-04-13 05:22:22 normalization > -- bcc at engagements/metadata/bcc 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > ), __dbt__cte__engagements_metadata_bcc_ab3 as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > -- SQL model to build a hash column based on the values of this record 2022-04-13 05:22:22 normalization > -- depends_on: __dbt__cte__engagements_metadata_bcc_ab2 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > to_hex(md5(cast(concat(coalesce(cast(_airbyte_metadata_hashid as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(email as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), '')) as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ))) as _airbyte_bcc_hashid, 2022-04-13 05:22:22 normalization > tmp.* 2022-04-13 05:22:22 normalization > from __dbt__cte__engagements_metadata_bcc_ab2 tmp 2022-04-13 05:22:22 normalization > -- bcc at engagements/metadata/bcc 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > )-- Final base SQL model 2022-04-13 05:22:22 normalization > -- depends_on: __dbt__cte__engagements_metadata_bcc_ab3 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > _airbyte_metadata_hashid, 2022-04-13 05:22:22 normalization > email, 2022-04-13 05:22:22 normalization > _airbyte_ab_id, 2022-04-13 05:22:22 normalization > _airbyte_emitted_at, 2022-04-13 05:22:22 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at, 2022-04-13 05:22:22 normalization > _airbyte_bcc_hashid 2022-04-13 05:22:22 normalization > from __dbt__cte__engagements_metadata_bcc_ab3 2022-04-13 05:22:22 normalization > -- bcc at engagements/metadata/bcc from `mansagroup-datascience`.hubspot_.`engagements_metadata` 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > and coalesce( 2022-04-13 05:22:22 normalization > cast(_airbyte_emitted_at as 2022-04-13 05:22:22 normalization > timestamp 2022-04-13 05:22:22 normalization > ) >= (select max(cast(_airbyte_emitted_at as 2022-04-13 05:22:22 normalization > timestamp 2022-04-13 05:22:22 normalization > )) from `mansagroup-datascience`.hubspot_.`engagements_metadata_bcc`), 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > true) 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > ); 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 05:10:16.546928 [debug] [Thread-1 ]: On model.airbyte_utils.engagements_metadata_to: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.engagements_metadata_to"} */ 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > create or replace table `mansagroup-datascience`.hubspot_.`engagements_metadata_to__dbt_tmp` 2022-04-13 05:22:22 normalization > partition by timestamp_trunc(_airbyte_emitted_at, day) 2022-04-13 05:22:22 normalization > cluster by _airbyte_emitted_at 2022-04-13 05:22:22 normalization > OPTIONS( 2022-04-13 05:22:22 normalization > expiration_timestamp=TIMESTAMP_ADD(CURRENT_TIMESTAMP(), INTERVAL 12 hour) 2022-04-13 05:22:22 normalization > ) 2022-04-13 05:22:22 normalization > as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > with __dbt__cte__engagements_metadata_to_ab1 as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema 2022-04-13 05:22:22 normalization > -- depends_on: `mansagroup-datascience`.hubspot_.`engagements_metadata` 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > _airbyte_metadata_hashid, 2022-04-13 05:22:22 normalization > json_extract_scalar(`to`, "$['raw']") as raw, 2022-04-13 05:22:22 normalization > json_extract_scalar(`to`, "$['email']") as email, 2022-04-13 05:22:22 normalization > json_extract_scalar(`to`, "$['lastName']") as lastName, 2022-04-13 05:22:22 normalization > json_extract_scalar(`to`, "$['firstName']") as firstName, 2022-04-13 05:22:22 normalization > _airbyte_ab_id, 2022-04-13 05:22:22 normalization > _airbyte_emitted_at, 2022-04-13 05:22:22 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:22 normalization > from `mansagroup-datascience`.hubspot_.`engagements_metadata` as table_alias 2022-04-13 05:22:22 normalization > -- to at engagements/metadata/to 2022-04-13 05:22:22 normalization > cross join unnest(`to`) as `to` 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > and `to` is not null 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > ), __dbt__cte__engagements_metadata_to_ab2 as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type 2022-04-13 05:22:22 normalization > -- depends_on: __dbt__cte__engagements_metadata_to_ab1 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > _airbyte_metadata_hashid, 2022-04-13 05:22:22 normalization > cast(raw as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as raw, 2022-04-13 05:22:22 normalization > cast(email as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as email, 2022-04-13 05:22:22 normalization > cast(lastName as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as lastName, 2022-04-13 05:22:22 normalization > cast(firstName as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as firstName, 2022-04-13 05:22:22 normalization > _airbyte_ab_id, 2022-04-13 05:22:22 normalization > _airbyte_emitted_at, 2022-04-13 05:22:22 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:22 normalization > from __dbt__cte__engagements_metadata_to_ab1 2022-04-13 05:22:22 normalization > -- to at engagements/metadata/to 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > ), __dbt__cte__engagements_metadata_to_ab3 as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > -- SQL model to build a hash column based on the values of this record 2022-04-13 05:22:22 normalization > -- depends_on: __dbt__cte__engagements_metadata_to_ab2 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > to_hex(md5(cast(concat(coalesce(cast(_airbyte_metadata_hashid as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(raw as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(email as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(lastName as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(firstName as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), '')) as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ))) as _airbyte_to_hashid, 2022-04-13 05:22:22 normalization > tmp.* 2022-04-13 05:22:22 normalization > from __dbt__cte__engagements_metadata_to_ab2 tmp 2022-04-13 05:22:22 normalization > -- to at engagements/metadata/to 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > )-- Final base SQL model 2022-04-13 05:22:22 normalization > -- depends_on: __dbt__cte__engagements_metadata_to_ab3 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > _airbyte_metadata_hashid, 2022-04-13 05:22:22 normalization > raw, 2022-04-13 05:22:22 normalization > email, 2022-04-13 05:22:22 normalization > lastName, 2022-04-13 05:22:22 normalization > firstName, 2022-04-13 05:22:22 normalization > _airbyte_ab_id, 2022-04-13 05:22:22 normalization > _airbyte_emitted_at, 2022-04-13 05:22:22 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at, 2022-04-13 05:22:22 normalization > _airbyte_to_hashid 2022-04-13 05:22:22 normalization > from __dbt__cte__engagements_metadata_to_ab3 2022-04-13 05:22:22 normalization > -- to at engagements/metadata/to from `mansagroup-datascience`.hubspot_.`engagements_metadata` 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > and coalesce( 2022-04-13 05:22:22 normalization > cast(_airbyte_emitted_at as 2022-04-13 05:22:22 normalization > timestamp 2022-04-13 05:22:22 normalization > ) >= (select max(cast(_airbyte_emitted_at as 2022-04-13 05:22:22 normalization > timestamp 2022-04-13 05:22:22 normalization > )) from `mansagroup-datascience`.hubspot_.`engagements_metadata_to`), 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > true) 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > ); 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 05:10:16.552603 [debug] [Thread-6 ]: On model.airbyte_utils.engagements_metadata_from: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.engagements_metadata_from"} */ 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > create or replace table `mansagroup-datascience`.hubspot_.`engagements_metadata_from__dbt_tmp` 2022-04-13 05:22:22 normalization > partition by timestamp_trunc(_airbyte_emitted_at, day) 2022-04-13 05:22:22 normalization > cluster by _airbyte_emitted_at 2022-04-13 05:22:22 normalization > OPTIONS( 2022-04-13 05:22:22 normalization > expiration_timestamp=TIMESTAMP_ADD(CURRENT_TIMESTAMP(), INTERVAL 12 hour) 2022-04-13 05:22:22 normalization > ) 2022-04-13 05:22:22 normalization > as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > with __dbt__cte__engagements_metadata_from_ab1 as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema 2022-04-13 05:22:22 normalization > -- depends_on: `mansagroup-datascience`.hubspot_.`engagements_metadata` 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > _airbyte_metadata_hashid, 2022-04-13 05:22:22 normalization > json_extract_scalar(`from`, "$['raw']") as raw, 2022-04-13 05:22:22 normalization > json_extract_scalar(`from`, "$['email']") as email, 2022-04-13 05:22:22 normalization > json_extract_scalar(`from`, "$['lastName']") as lastName, 2022-04-13 05:22:22 normalization > json_extract_scalar(`from`, "$['firstName']") as firstName, 2022-04-13 05:22:22 normalization > _airbyte_ab_id, 2022-04-13 05:22:22 normalization > _airbyte_emitted_at, 2022-04-13 05:22:22 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:22 normalization > from `mansagroup-datascience`.hubspot_.`engagements_metadata` as table_alias 2022-04-13 05:22:22 normalization > -- from at engagements/metadata/from 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > and `from` is not null 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > ), __dbt__cte__engagements_metadata_from_ab2 as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type 2022-04-13 05:22:22 normalization > -- depends_on: __dbt__cte__engagements_metadata_from_ab1 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > _airbyte_metadata_hashid, 2022-04-13 05:22:22 normalization > cast(raw as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as raw, 2022-04-13 05:22:22 normalization > cast(email as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as email, 2022-04-13 05:22:22 normalization > cast(lastName as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as lastName, 2022-04-13 05:22:22 normalization > cast(firstName as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as firstName, 2022-04-13 05:22:22 normalization > _airbyte_ab_id, 2022-04-13 05:22:22 normalization > _airbyte_emitted_at, 2022-04-13 05:22:22 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:22 normalization > from __dbt__cte__engagements_metadata_from_ab1 2022-04-13 05:22:22 normalization > -- from at engagements/metadata/from 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > ), __dbt__cte__engagements_metadata_from_ab3 as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > -- SQL model to build a hash column based on the values of this record 2022-04-13 05:22:22 normalization > -- depends_on: __dbt__cte__engagements_metadata_from_ab2 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > to_hex(md5(cast(concat(coalesce(cast(_airbyte_metadata_hashid as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(raw as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(email as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(lastName as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(firstName as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), '')) as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ))) as _airbyte_from_hashid, 2022-04-13 05:22:22 normalization > tmp.* 2022-04-13 05:22:22 normalization > from __dbt__cte__engagements_metadata_from_ab2 tmp 2022-04-13 05:22:22 normalization > -- from at engagements/metadata/from 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > )-- Final base SQL model 2022-04-13 05:22:22 normalization > -- depends_on: __dbt__cte__engagements_metadata_from_ab3 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > _airbyte_metadata_hashid, 2022-04-13 05:22:22 normalization > raw, 2022-04-13 05:22:22 normalization > email, 2022-04-13 05:22:22 normalization > lastName, 2022-04-13 05:22:22 normalization > firstName, 2022-04-13 05:22:22 normalization > _airbyte_ab_id, 2022-04-13 05:22:22 normalization > _airbyte_emitted_at, 2022-04-13 05:22:22 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at, 2022-04-13 05:22:22 normalization > _airbyte_from_hashid 2022-04-13 05:22:22 normalization > from __dbt__cte__engagements_metadata_from_ab3 2022-04-13 05:22:22 normalization > -- from at engagements/metadata/from from `mansagroup-datascience`.hubspot_.`engagements_metadata` 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > and coalesce( 2022-04-13 05:22:22 normalization > cast(_airbyte_emitted_at as 2022-04-13 05:22:22 normalization > timestamp 2022-04-13 05:22:22 normalization > ) >= (select max(cast(_airbyte_emitted_at as 2022-04-13 05:22:22 normalization > timestamp 2022-04-13 05:22:22 normalization > )) from `mansagroup-datascience`.hubspot_.`engagements_metadata_from`), 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > true) 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > ); 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 05:10:16.559439 [debug] [Thread-2 ]: On model.airbyte_utils.engagements_metadata_cc: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.engagements_metadata_cc"} */ 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > create or replace table `mansagroup-datascience`.hubspot_.`engagements_metadata_cc__dbt_tmp` 2022-04-13 05:22:22 normalization > partition by timestamp_trunc(_airbyte_emitted_at, day) 2022-04-13 05:22:22 normalization > cluster by _airbyte_emitted_at 2022-04-13 05:22:22 normalization > OPTIONS( 2022-04-13 05:22:22 normalization > expiration_timestamp=TIMESTAMP_ADD(CURRENT_TIMESTAMP(), INTERVAL 12 hour) 2022-04-13 05:22:22 normalization > ) 2022-04-13 05:22:22 normalization > as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > with __dbt__cte__engagements_metadata_cc_ab1 as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema 2022-04-13 05:22:22 normalization > -- depends_on: `mansagroup-datascience`.hubspot_.`engagements_metadata` 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > _airbyte_metadata_hashid, 2022-04-13 05:22:22 normalization > json_extract_scalar(cc, "$['raw']") as raw, 2022-04-13 05:22:22 normalization > json_extract_scalar(cc, "$['email']") as email, 2022-04-13 05:22:22 normalization > json_extract_scalar(cc, "$['lastName']") as lastName, 2022-04-13 05:22:22 normalization > json_extract_scalar(cc, "$['firstName']") as firstName, 2022-04-13 05:22:22 normalization > _airbyte_ab_id, 2022-04-13 05:22:22 normalization > _airbyte_emitted_at, 2022-04-13 05:22:22 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:22 normalization > from `mansagroup-datascience`.hubspot_.`engagements_metadata` as table_alias 2022-04-13 05:22:22 normalization > -- cc at engagements/metadata/cc 2022-04-13 05:22:22 normalization > cross join unnest(cc) as cc 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > and cc is not null 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > ), __dbt__cte__engagements_metadata_cc_ab2 as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type 2022-04-13 05:22:22 normalization > -- depends_on: __dbt__cte__engagements_metadata_cc_ab1 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > _airbyte_metadata_hashid, 2022-04-13 05:22:22 normalization > cast(raw as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as raw, 2022-04-13 05:22:22 normalization > cast(email as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as email, 2022-04-13 05:22:22 normalization > cast(lastName as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as lastName, 2022-04-13 05:22:22 normalization > cast(firstName as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ) as firstName, 2022-04-13 05:22:22 normalization > _airbyte_ab_id, 2022-04-13 05:22:22 normalization > _airbyte_emitted_at, 2022-04-13 05:22:22 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at 2022-04-13 05:22:22 normalization > from __dbt__cte__engagements_metadata_cc_ab1 2022-04-13 05:22:22 normalization > -- cc at engagements/metadata/cc 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > ), __dbt__cte__engagements_metadata_cc_ab3 as ( 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > -- SQL model to build a hash column based on the values of this record 2022-04-13 05:22:22 normalization > -- depends_on: __dbt__cte__engagements_metadata_cc_ab2 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > to_hex(md5(cast(concat(coalesce(cast(_airbyte_metadata_hashid as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(raw as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(email as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(lastName as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), ''), '-', coalesce(cast(firstName as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ), '')) as 2022-04-13 05:22:22 normalization > string 2022-04-13 05:22:22 normalization > ))) as _airbyte_cc_hashid, 2022-04-13 05:22:22 normalization > tmp.* 2022-04-13 05:22:22 normalization > from __dbt__cte__engagements_metadata_cc_ab2 tmp 2022-04-13 05:22:22 normalization > -- cc at engagements/metadata/cc 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > )-- Final base SQL model 2022-04-13 05:22:22 normalization > -- depends_on: __dbt__cte__engagements_metadata_cc_ab3 2022-04-13 05:22:22 normalization > select 2022-04-13 05:22:22 normalization > _airbyte_metadata_hashid, 2022-04-13 05:22:22 normalization > raw, 2022-04-13 05:22:22 normalization > email, 2022-04-13 05:22:22 normalization > lastName, 2022-04-13 05:22:22 normalization > firstName, 2022-04-13 05:22:22 normalization > _airbyte_ab_id, 2022-04-13 05:22:22 normalization > _airbyte_emitted_at, 2022-04-13 05:22:22 normalization > CURRENT_TIMESTAMP() as _airbyte_normalized_at, 2022-04-13 05:22:22 normalization > _airbyte_cc_hashid 2022-04-13 05:22:22 normalization > from __dbt__cte__engagements_metadata_cc_ab3 2022-04-13 05:22:22 normalization > -- cc at engagements/metadata/cc from `mansagroup-datascience`.hubspot_.`engagements_metadata` 2022-04-13 05:22:22 normalization > where 1 = 1 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > and coalesce( 2022-04-13 05:22:22 normalization > cast(_airbyte_emitted_at as 2022-04-13 05:22:22 normalization > timestamp 2022-04-13 05:22:22 normalization > ) >= (select max(cast(_airbyte_emitted_at as 2022-04-13 05:22:22 normalization > timestamp 2022-04-13 05:22:22 normalization > )) from `mansagroup-datascience`.hubspot_.`engagements_metadata_cc`), 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > true) 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > ); 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 05:10:19.245344 [debug] [Thread-2 ]: 2022-04-13 05:22:22 normalization > In `mansagroup-datascience`.`hubspot_`.`engagements_metadata_cc`: 2022-04-13 05:22:22 normalization > Schema changed: False 2022-04-13 05:22:22 normalization > Source columns not in target: [] 2022-04-13 05:22:22 normalization > Target columns not in source: [] 2022-04-13 05:22:22 normalization > New column types: [] 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 05:10:19.246375 [debug] [Thread-2 ]: Writing runtime SQL for node "model.airbyte_utils.engagements_metadata_cc" 2022-04-13 05:22:22 normalization > 05:10:19.246736 [debug] [Thread-2 ]: On model.airbyte_utils.engagements_metadata_cc: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.engagements_metadata_cc"} */ 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > merge into `mansagroup-datascience`.hubspot_.`engagements_metadata_cc` as DBT_INTERNAL_DEST 2022-04-13 05:22:22 normalization > using ( 2022-04-13 05:22:22 normalization > select * from `mansagroup-datascience`.hubspot_.`engagements_metadata_cc__dbt_tmp` 2022-04-13 05:22:22 normalization > ) as DBT_INTERNAL_SOURCE 2022-04-13 05:22:22 normalization > on FALSE 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > when not matched then insert 2022-04-13 05:22:22 normalization > (`_airbyte_metadata_hashid`, `raw`, `email`, `lastName`, `firstName`, `_airbyte_ab_id`, `_airbyte_emitted_at`, `_airbyte_normalized_at`, `_airbyte_cc_hashid`) 2022-04-13 05:22:22 normalization > values 2022-04-13 05:22:22 normalization > (`_airbyte_metadata_hashid`, `raw`, `email`, `lastName`, `firstName`, `_airbyte_ab_id`, `_airbyte_emitted_at`, `_airbyte_normalized_at`, `_airbyte_cc_hashid`) 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 05:10:19.468300 [debug] [Thread-8 ]: 2022-04-13 05:22:22 normalization > In `mansagroup-datascience`.`hubspot_`.`engagements_metadata_bcc`: 2022-04-13 05:22:22 normalization > Schema changed: False 2022-04-13 05:22:22 normalization > Source columns not in target: [] 2022-04-13 05:22:22 normalization > Target columns not in source: [] 2022-04-13 05:22:22 normalization > New column types: [] 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 05:10:19.469240 [debug] [Thread-8 ]: Writing runtime SQL for node "model.airbyte_utils.engagements_metadata_bcc" 2022-04-13 05:22:22 normalization > 05:10:19.469587 [debug] [Thread-8 ]: On model.airbyte_utils.engagements_metadata_bcc: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.engagements_metadata_bcc"} */ 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > merge into `mansagroup-datascience`.hubspot_.`engagements_metadata_bcc` as DBT_INTERNAL_DEST 2022-04-13 05:22:22 normalization > using ( 2022-04-13 05:22:22 normalization > select * from `mansagroup-datascience`.hubspot_.`engagements_metadata_bcc__dbt_tmp` 2022-04-13 05:22:22 normalization > ) as DBT_INTERNAL_SOURCE 2022-04-13 05:22:22 normalization > on FALSE 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > when not matched then insert 2022-04-13 05:22:22 normalization > (`_airbyte_metadata_hashid`, `email`, `_airbyte_ab_id`, `_airbyte_emitted_at`, `_airbyte_normalized_at`, `_airbyte_bcc_hashid`) 2022-04-13 05:22:22 normalization > values 2022-04-13 05:22:22 normalization > (`_airbyte_metadata_hashid`, `email`, `_airbyte_ab_id`, `_airbyte_emitted_at`, `_airbyte_normalized_at`, `_airbyte_bcc_hashid`) 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 05:10:20.057837 [debug] [Thread-3 ]: 2022-04-13 05:22:22 normalization > In `mansagroup-datascience`.`hubspot_`.`engagements_metadata_sender`: 2022-04-13 05:22:22 normalization > Schema changed: False 2022-04-13 05:22:22 normalization > Source columns not in target: [] 2022-04-13 05:22:22 normalization > Target columns not in source: [] 2022-04-13 05:22:22 normalization > New column types: [] 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 05:10:20.058817 [debug] [Thread-3 ]: Writing runtime SQL for node "model.airbyte_utils.engagements_metadata_sender" 2022-04-13 05:22:22 normalization > 05:10:20.059174 [debug] [Thread-3 ]: On model.airbyte_utils.engagements_metadata_sender: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.engagements_metadata_sender"} */ 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > merge into `mansagroup-datascience`.hubspot_.`engagements_metadata_sender` as DBT_INTERNAL_DEST 2022-04-13 05:22:22 normalization > using ( 2022-04-13 05:22:22 normalization > select * from `mansagroup-datascience`.hubspot_.`engagements_metadata_sender__dbt_tmp` 2022-04-13 05:22:22 normalization > ) as DBT_INTERNAL_SOURCE 2022-04-13 05:22:22 normalization > on FALSE 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > when not matched then insert 2022-04-13 05:22:22 normalization > (`_airbyte_metadata_hashid`, `email`, `_airbyte_ab_id`, `_airbyte_emitted_at`, `_airbyte_normalized_at`, `_airbyte_sender_hashid`) 2022-04-13 05:22:22 normalization > values 2022-04-13 05:22:22 normalization > (`_airbyte_metadata_hashid`, `email`, `_airbyte_ab_id`, `_airbyte_emitted_at`, `_airbyte_normalized_at`, `_airbyte_sender_hashid`) 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 05:10:20.325903 [debug] [Thread-1 ]: 2022-04-13 05:22:22 normalization > In `mansagroup-datascience`.`hubspot_`.`engagements_metadata_to`: 2022-04-13 05:22:22 normalization > Schema changed: False 2022-04-13 05:22:22 normalization > Source columns not in target: [] 2022-04-13 05:22:22 normalization > Target columns not in source: [] 2022-04-13 05:22:22 normalization > New column types: [] 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 05:10:20.326920 [debug] [Thread-1 ]: Writing runtime SQL for node "model.airbyte_utils.engagements_metadata_to" 2022-04-13 05:22:22 normalization > 05:10:20.327299 [debug] [Thread-1 ]: On model.airbyte_utils.engagements_metadata_to: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.engagements_metadata_to"} */ 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > merge into `mansagroup-datascience`.hubspot_.`engagements_metadata_to` as DBT_INTERNAL_DEST 2022-04-13 05:22:22 normalization > using ( 2022-04-13 05:22:22 normalization > select * from `mansagroup-datascience`.hubspot_.`engagements_metadata_to__dbt_tmp` 2022-04-13 05:22:22 normalization > ) as DBT_INTERNAL_SOURCE 2022-04-13 05:22:22 normalization > on FALSE 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > when not matched then insert 2022-04-13 05:22:22 normalization > (`_airbyte_metadata_hashid`, `raw`, `email`, `lastName`, `firstName`, `_airbyte_ab_id`, `_airbyte_emitted_at`, `_airbyte_normalized_at`, `_airbyte_to_hashid`) 2022-04-13 05:22:22 normalization > values 2022-04-13 05:22:22 normalization > (`_airbyte_metadata_hashid`, `raw`, `email`, `lastName`, `firstName`, `_airbyte_ab_id`, `_airbyte_emitted_at`, `_airbyte_normalized_at`, `_airbyte_to_hashid`) 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 05:10:20.664849 [debug] [Thread-6 ]: 2022-04-13 05:22:22 normalization > In `mansagroup-datascience`.`hubspot_`.`engagements_metadata_from`: 2022-04-13 05:22:22 normalization > Schema changed: False 2022-04-13 05:22:22 normalization > Source columns not in target: [] 2022-04-13 05:22:22 normalization > Target columns not in source: [] 2022-04-13 05:22:22 normalization > New column types: [] 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 05:10:20.665837 [debug] [Thread-6 ]: Writing runtime SQL for node "model.airbyte_utils.engagements_metadata_from" 2022-04-13 05:22:22 normalization > 05:10:20.666183 [debug] [Thread-6 ]: On model.airbyte_utils.engagements_metadata_from: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.engagements_metadata_from"} */ 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > merge into `mansagroup-datascience`.hubspot_.`engagements_metadata_from` as DBT_INTERNAL_DEST 2022-04-13 05:22:22 normalization > using ( 2022-04-13 05:22:22 normalization > select * from `mansagroup-datascience`.hubspot_.`engagements_metadata_from__dbt_tmp` 2022-04-13 05:22:22 normalization > ) as DBT_INTERNAL_SOURCE 2022-04-13 05:22:22 normalization > on FALSE 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > when not matched then insert 2022-04-13 05:22:22 normalization > (`_airbyte_metadata_hashid`, `raw`, `email`, `lastName`, `firstName`, `_airbyte_ab_id`, `_airbyte_emitted_at`, `_airbyte_normalized_at`, `_airbyte_from_hashid`) 2022-04-13 05:22:22 normalization > values 2022-04-13 05:22:22 normalization > (`_airbyte_metadata_hashid`, `raw`, `email`, `lastName`, `firstName`, `_airbyte_ab_id`, `_airbyte_emitted_at`, `_airbyte_normalized_at`, `_airbyte_from_hashid`) 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 05:10:21.139738 [debug] [Thread-2 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:10:21.140400 [info ] [Thread-2 ]: 75 of 77 OK created incremental model hubspot_.engagements_metadata_cc.................................................. [MERGE (13.4k rows, 3.1 MB processed) in 4.84s] 2022-04-13 05:22:22 normalization > 05:10:21.140861 [debug] [Thread-2 ]: Finished running node model.airbyte_utils.engagements_metadata_cc 2022-04-13 05:22:22 normalization > 05:10:21.366532 [debug] [Thread-8 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:10:21.367126 [info ] [Thread-8 ]: 76 of 77 OK created incremental model hubspot_.engagements_metadata_bcc................................................. [MERGE (0.0 rows, 0 processed) in 5.06s] 2022-04-13 05:22:22 normalization > 05:10:21.367601 [debug] [Thread-8 ]: Finished running node model.airbyte_utils.engagements_metadata_bcc 2022-04-13 05:22:22 normalization > 05:10:23.146522 [debug] [Thread-3 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:10:23.147223 [info ] [Thread-3 ]: 73 of 77 OK created incremental model hubspot_.engagements_metadata_sender.............................................. [MERGE (108.2k rows, 15.4 MB processed) in 6.85s] 2022-04-13 05:22:22 normalization > 05:10:23.147672 [debug] [Thread-3 ]: Finished running node model.airbyte_utils.engagements_metadata_sender 2022-04-13 05:22:22 normalization > 05:10:23.987259 [debug] [Thread-1 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:10:23.987939 [info ] [Thread-1 ]: 74 of 77 OK created incremental model hubspot_.engagements_metadata_to.................................................. [MERGE (111.1k rows, 21.0 MB processed) in 7.69s] 2022-04-13 05:22:22 normalization > 05:10:23.988397 [debug] [Thread-1 ]: Finished running node model.airbyte_utils.engagements_metadata_to 2022-04-13 05:22:22 normalization > 05:10:24.042570 [debug] [Thread-6 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:10:24.043125 [info ] [Thread-6 ]: 77 of 77 OK created incremental model hubspot_.engagements_metadata_from................................................ [MERGE (108.2k rows, 19.4 MB processed) in 7.72s] 2022-04-13 05:22:22 normalization > 05:10:24.043549 [debug] [Thread-6 ]: Finished running node model.airbyte_utils.engagements_metadata_from 2022-04-13 05:22:22 normalization > 05:12:56.283879 [debug] [Thread-5 ]: BigQuery adapter: Retry attempt 2 of 3 after error: BadRequest("Invalid date: '1 an et demi'") 2022-04-13 05:22:22 normalization > 05:17:19.677416 [debug] [Thread-5 ]: BigQuery adapter: Retry attempt 3 of 3 after error: BadRequest("Invalid date: '1 an et demi'") 2022-04-13 05:22:22 normalization > 05:18:08.679669 [debug] [Thread-7 ]: 2022-04-13 05:22:22 normalization > In `mansagroup-datascience`.`hubspot_`.`deals_properties`: 2022-04-13 05:22:22 normalization > Schema changed: False 2022-04-13 05:22:22 normalization > Source columns not in target: [] 2022-04-13 05:22:22 normalization > Target columns not in source: [] 2022-04-13 05:22:22 normalization > New column types: [] 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 05:18:08.685699 [debug] [Thread-7 ]: Writing runtime SQL for node "model.airbyte_utils.deals_properties" 2022-04-13 05:22:22 normalization > 05:18:08.686147 [debug] [Thread-7 ]: On model.airbyte_utils.deals_properties: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.deals_properties"} */ 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > merge into `mansagroup-datascience`.hubspot_.`deals_properties` as DBT_INTERNAL_DEST 2022-04-13 05:22:22 normalization > using ( 2022-04-13 05:22:22 normalization > select * from `mansagroup-datascience`.hubspot_.`deals_properties__dbt_tmp` 2022-04-13 05:22:22 normalization > ) as DBT_INTERNAL_SOURCE 2022-04-13 05:22:22 normalization > on FALSE 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > when not matched then insert 2022-04-13 05:22:22 normalization > (`_airbyte_deals_hashid`, `teg`, `gift`, `mail`, `email`, `amount`, `hs_acv`, `hs_arr`, `hs_mrr`, `hs_tcv`, `metier`, `is_test`, `settled`, `activite`, `date_won`, `dealname`, `dealtype`, `pipeline`, `bank_iban`, `closedate`, `date_lost`, `dealstage`, `formality`, `is_french`, `last_name`, `lootscore`, `num_notes`, `code_idnow`, `createdate`, `deal_score`, `first_name`, `id_contact`, `loan_grade`, `status_kyc`, `utm_medium`, `utm_source`, `amount_fees`, `bon_metier_`, `companyname`, `description`, `fee_trigger`, `hs_campaign`, `hs_priority`, `is_eligible`, `lead_source`, `loan_status`, `lost_reason`, `mansa_score`, `mensualites`, `repeat_deal`, `sector_code`, `underwriter`, `amount_final`, `data_missing`, `date_created`, `date_settled`, `hs_is_closed`, `hs_next_step`, `hs_object_id`, `is_completed`, `is_open_deal`, `legal_status`, `phone_number`, `send_to_qard`, `type_de_pret`, `url_calendly`, `url_intercom`, `utm_campaign`, `annualrevenue`, `customer_bank`, `date_approved`, `date_rejected`, `days_to_close`, `duree_du_pret`, `field_of_work`, `hs_createdate`, `partner_email`, `siren_recency`, `urgency_level`, `url_checklist`, `calendly_owner`, `case_reference`, `date_became_lt`, `date_qualified`, `date_submitted`, `default_credit`, `funding_source`, `is_flagged_bdf`, `is_hard_filter`, `landing_source`, `next_step_date`, `taux_du_credit`, `upsale_a_venir`, `url_incomplete`, `created_5minago`, `declined_reason`, `desc_incomplete`, `duplication_bug`, `duration_months`, `hs_all_team_ids`, `hubspot_team_id`, `iseverinloanapp`, `legal_structure`, `monthly_revenue`, `owner_firstname`, `owner_shortcode`, `percentage_fees`, `reechelonnement`, `trigger_message`, `url_mansa_admin`, `uuid_mansa_loan`, `uuid_mansa_user`, `withdrawal_link`, `amount_requested`, `automated_emails`, `commission_mansa`, `date_in_progress`, `historyreqchange`, `hs_all_owner_ids`, `hs_closed_amount`, `hs_is_closed_won`, `hubspot_owner_id`, `is_action_needed`, `partner_products`, `underwriter_name`, `age_incorporation`, `closed_won_reason`, `date_docs_missing`, `external_comments`, `incomplete_reason`, `last_stage_change`, `mansa_environment`, `score_transaction`, `automation_trigger`, `bank_iban_approved`, `closed_lost_reason`, `cost_credit_amount`, `date_contract_sent`, `date_incorporation`, `deal_currency_code`, `hs_forecast_amount`, `hs_time_in_1359639`, `hs_time_in_1359640`, `hs_time_in_1498993`, `hs_time_in_1498994`, `hs_time_in_1528315`, `hs_time_in_1528316`, `hs_time_in_1584718`, `hs_time_in_1584720`, `hs_time_in_1584721`, `hs_time_in_4431530`, `hs_time_in_9194942`, `hs_time_in_9197039`, `hs_time_in_9273281`, `is_eligible_change`, `is_resident_france`, `notes_last_updated`, `prelevement_rejete`, `acquisition_partner`, `amount_max_approved`, `canal_d_acquisition`, `cost_credit_percent`, `date_last_call_task`, `date_last_repayment`, `hs_analytics_source`, `hs_lastmodifieddate`, `hs_predicted_amount`, `hs_projected_amount`, `hs_time_in_10719895`, `hs_time_in_10719896`, `hs_time_in_10719988`, `hs_time_in_10810516`, `hs_time_in_12298746`, `hs_time_in_12305438`, `hs_time_in_12445978`, `hs_time_in_14583984`, `hs_time_in_15241391`, `hs_time_in_17617428`, `loan_term_effective`, `loan_term_requested`, `num_contacted_notes`, `rate_interest_final`, `url_customer_folder`, `url_data_collection`, `amount_total_payable`, `date_first_repayment`, `hs_merged_object_ids`, `hs_time_in_closedwon`, `is_prior_liquidation`, `is_timebased_enabled`, `notes_last_contacted`, `statut_d_independant`, `trigger_doc_approved`, `day_monthly_repayment`, `duration_max_approved`, `duration_months_final`, `hs_created_by_user_id`, `hs_time_in_closedlost`, `hs_updated_by_user_id`, `is_lemonway_completed`, `loan_purpose_category`, `mthly_installment_max`, `trigger_declined_note`, `underwriting_declined`, `amount_first_repayment`, `date_de_fermeture_deck`, `hs_date_exited_1359639`, `hs_date_exited_1359640`, `hs_date_exited_1498993`, `hs_date_exited_1498994`, `hs_date_exited_1528315`, `hs_date_exited_1528316`, `hs_date_exited_1584718`, `hs_date_exited_1584720`, `hs_date_exited_1584721`, `hs_date_exited_4431530`, `hs_date_exited_9194942`, `hs_date_exited_9197039`, `hs_date_exited_9273281`, `hs_likelihood_to_close`, `hs_num_target_accounts`, `hs_unique_creation_key`, `last_stage_change_days`, `partenaire_acquisition`, `remboursement_anticipe`, `trigger_firstname_edit`, `url_approved_assistant`, `amount_in_home_currency`, `data_collection_inbound`, `failed_monthly_paiement`, `hs_date_entered_1359639`, `hs_date_entered_1359640`, `hs_date_entered_1498993`, `hs_date_entered_1498994`, `hs_date_entered_1528315`, `hs_date_entered_1528316`, `hs_date_entered_1584718`, `hs_date_entered_1584720`, `hs_date_entered_1584721`, `hs_date_entered_4431530`, `hs_date_entered_9194942`, `hs_date_entered_9197039`, `hs_date_entered_9273281`, `hs_date_exited_10719895`, `hs_date_exited_10719896`, `hs_date_exited_10719988`, `hs_date_exited_10810516`, `hs_date_exited_12298746`, `hs_date_exited_12305438`, `hs_date_exited_12445978`, `hs_date_exited_14583984`, `hs_date_exited_15241391`, `hs_date_exited_17617428`, `hs_forecast_probability`, `hs_time_in_contractsent`, `is_majority_shareholder`, `num_associated_contacts`, `owner_direct_phone_line`, `preferred_field_of_work`, `reject_explanation_html`, `amount_monthly_repayment`, `bank_account_holder_name`, `bank_identification_code`, `calculation_fees_payable`, `date_application_pending`, `hs_date_entered_10719895`, `hs_date_entered_10719896`, `hs_date_entered_10719988`, `hs_date_entered_10810516`, `hs_date_entered_12298746`, `hs_date_entered_12305438`, `hs_date_entered_12445978`, `hs_date_entered_14583984`, `hs_date_entered_15241391`, `hs_date_entered_17617428`, `hs_date_exited_closedwon`, `legal_structure_specific`, `mensualites_recues_vrai_`, `notes_next_activity_date`, `number_of_failed_payment`, `reason_for_debit_failure`, `trigger_create_checklist`, `hs_date_entered_closedwon`, `hs_date_exited_closedlost`, `hs_deal_stage_probability`, `hs_time_in_qualifiedtobuy`, `hs_user_ids_of_all_owners`, `looti_scoring_explanation`, `number_legal_registration`, `statut_juridique_confirme`, `amount_gross_revenue_mansa`, `hs_all_accessible_team_ids`, `hs_analytics_source_data_1`, `hs_analytics_source_data_2`, `hs_date_entered_closedlost`, `hs_latest_meeting_activity`, `hubspot_owner_assigneddate`, `is_tax_compliance_verified`, `hs_all_deal_split_owner_ids`, `hs_date_exited_contractsent`, `hs_manual_forecast_category`, `hs_sales_email_last_replied`, `hs_date_entered_contractsent`, `date_de_fermeture_financement`, `date_de_remboursement_du_pret`, `hs_date_exited_qualifiedtobuy`, `hs_date_entered_qualifiedtobuy`, `motif_conversion_perdue_cases_`, `remboursement_par_anticipation`, `engagements_last_meeting_booked`, `hs_time_in_appointmentscheduled`, `motif_refus_banque_mansa_cases_`, `hs_deal_stage_probability_shadow`, `hs_time_in_decisionmakerboughtin`, `hs_time_in_presentationscheduled`, `hs_all_assigned_business_unit_ids`, `hs_closed_amount_in_home_currency`, `hs_date_exited_appointmentscheduled`, `hs_date_entered_appointmentscheduled`, `hs_date_exited_decisionmakerboughtin`, `hs_date_exited_presentationscheduled`, `hs_predicted_amount_in_home_currency`, `hs_projected_amount_in_home_currency`, `hs_date_entered_decisionmakerboughtin`, `hs_date_entered_presentationscheduled`, `hs_deal_amount_calculation_preference`, `comment_avez_vous_decouvert_mansa_new_`, `engagements_last_meeting_booked_medium`, `engagements_last_meeting_booked_source`, `engagements_last_meeting_booked_campaign`, `hs_user_ids_of_all_notification_followers`, `hs_user_ids_of_all_notification_unfollowers`, `hs_line_item_global_term_hs_discount_percentage`, `hs_line_item_global_term_recurringbillingfrequency`, `hs_line_item_global_term_hs_recurring_billing_period`, `hs_line_item_global_term_hs_discount_percentage_enabled`, `hs_line_item_global_term_hs_recurring_billing_start_date`, `hs_line_item_global_term_recurringbillingfrequency_enabled`, `hs_line_item_global_term_hs_recurring_billing_period_enabled`, `hs_line_item_global_term_hs_recurring_billing_start_date_enabled`, `_airbyte_ab_id`, `_airbyte_emitted_at`, `_airbyte_normalized_at`, `_airbyte_properties_hashid`) 2022-04-13 05:22:22 normalization > values 2022-04-13 05:22:22 normalization > (`_airbyte_deals_hashid`, `teg`, `gift`, `mail`, `email`, `amount`, `hs_acv`, `hs_arr`, `hs_mrr`, `hs_tcv`, `metier`, `is_test`, `settled`, `activite`, `date_won`, `dealname`, `dealtype`, `pipeline`, `bank_iban`, `closedate`, `date_lost`, `dealstage`, `formality`, `is_french`, `last_name`, `lootscore`, `num_notes`, `code_idnow`, `createdate`, `deal_score`, `first_name`, `id_contact`, `loan_grade`, `status_kyc`, `utm_medium`, `utm_source`, `amount_fees`, `bon_metier_`, `companyname`, `description`, `fee_trigger`, `hs_campaign`, `hs_priority`, `is_eligible`, `lead_source`, `loan_status`, `lost_reason`, `mansa_score`, `mensualites`, `repeat_deal`, `sector_code`, `underwriter`, `amount_final`, `data_missing`, `date_created`, `date_settled`, `hs_is_closed`, `hs_next_step`, `hs_object_id`, `is_completed`, `is_open_deal`, `legal_status`, `phone_number`, `send_to_qard`, `type_de_pret`, `url_calendly`, `url_intercom`, `utm_campaign`, `annualrevenue`, `customer_bank`, `date_approved`, `date_rejected`, `days_to_close`, `duree_du_pret`, `field_of_work`, `hs_createdate`, `partner_email`, `siren_recency`, `urgency_level`, `url_checklist`, `calendly_owner`, `case_reference`, `date_became_lt`, `date_qualified`, `date_submitted`, `default_credit`, `funding_source`, `is_flagged_bdf`, `is_hard_filter`, `landing_source`, `next_step_date`, `taux_du_credit`, `upsale_a_venir`, `url_incomplete`, `created_5minago`, `declined_reason`, `desc_incomplete`, `duplication_bug`, `duration_months`, `hs_all_team_ids`, `hubspot_team_id`, `iseverinloanapp`, `legal_structure`, `monthly_revenue`, `owner_firstname`, `owner_shortcode`, `percentage_fees`, `reechelonnement`, `trigger_message`, `url_mansa_admin`, `uuid_mansa_loan`, `uuid_mansa_user`, `withdrawal_link`, `amount_requested`, `automated_emails`, `commission_mansa`, `date_in_progress`, `historyreqchange`, `hs_all_owner_ids`, `hs_closed_amount`, `hs_is_closed_won`, `hubspot_owner_id`, `is_action_needed`, `partner_products`, `underwriter_name`, `age_incorporation`, `closed_won_reason`, `date_docs_missing`, `external_comments`, `incomplete_reason`, `last_stage_change`, `mansa_environment`, `score_transaction`, `automation_trigger`, `bank_iban_approved`, `closed_lost_reason`, `cost_credit_amount`, `date_contract_sent`, `date_incorporation`, `deal_currency_code`, `hs_forecast_amount`, `hs_time_in_1359639`, `hs_time_in_1359640`, `hs_time_in_1498993`, `hs_time_in_1498994`, `hs_time_in_1528315`, `hs_time_in_1528316`, `hs_time_in_1584718`, `hs_time_in_1584720`, `hs_time_in_1584721`, `hs_time_in_4431530`, `hs_time_in_9194942`, `hs_time_in_9197039`, `hs_time_in_9273281`, `is_eligible_change`, `is_resident_france`, `notes_last_updated`, `prelevement_rejete`, `acquisition_partner`, `amount_max_approved`, `canal_d_acquisition`, `cost_credit_percent`, `date_last_call_task`, `date_last_repayment`, `hs_analytics_source`, `hs_lastmodifieddate`, `hs_predicted_amount`, `hs_projected_amount`, `hs_time_in_10719895`, `hs_time_in_10719896`, `hs_time_in_10719988`, `hs_time_in_10810516`, `hs_time_in_12298746`, `hs_time_in_12305438`, `hs_time_in_12445978`, `hs_time_in_14583984`, `hs_time_in_15241391`, `hs_time_in_17617428`, `loan_term_effective`, `loan_term_requested`, `num_contacted_notes`, `rate_interest_final`, `url_customer_folder`, `url_data_collection`, `amount_total_payable`, `date_first_repayment`, `hs_merged_object_ids`, `hs_time_in_closedwon`, `is_prior_liquidation`, `is_timebased_enabled`, `notes_last_contacted`, `statut_d_independant`, `trigger_doc_approved`, `day_monthly_repayment`, `duration_max_approved`, `duration_months_final`, `hs_created_by_user_id`, `hs_time_in_closedlost`, `hs_updated_by_user_id`, `is_lemonway_completed`, `loan_purpose_category`, `mthly_installment_max`, `trigger_declined_note`, `underwriting_declined`, `amount_first_repayment`, `date_de_fermeture_deck`, `hs_date_exited_1359639`, `hs_date_exited_1359640`, `hs_date_exited_1498993`, `hs_date_exited_1498994`, `hs_date_exited_1528315`, `hs_date_exited_1528316`, `hs_date_exited_1584718`, `hs_date_exited_1584720`, `hs_date_exited_1584721`, `hs_date_exited_4431530`, `hs_date_exited_9194942`, `hs_date_exited_9197039`, `hs_date_exited_9273281`, `hs_likelihood_to_close`, `hs_num_target_accounts`, `hs_unique_creation_key`, `last_stage_change_days`, `partenaire_acquisition`, `remboursement_anticipe`, `trigger_firstname_edit`, `url_approved_assistant`, `amount_in_home_currency`, `data_collection_inbound`, `failed_monthly_paiement`, `hs_date_entered_1359639`, `hs_date_entered_1359640`, `hs_date_entered_1498993`, `hs_date_entered_1498994`, `hs_date_entered_1528315`, `hs_date_entered_1528316`, `hs_date_entered_1584718`, `hs_date_entered_1584720`, `hs_date_entered_1584721`, `hs_date_entered_4431530`, `hs_date_entered_9194942`, `hs_date_entered_9197039`, `hs_date_entered_9273281`, `hs_date_exited_10719895`, `hs_date_exited_10719896`, `hs_date_exited_10719988`, `hs_date_exited_10810516`, `hs_date_exited_12298746`, `hs_date_exited_12305438`, `hs_date_exited_12445978`, `hs_date_exited_14583984`, `hs_date_exited_15241391`, `hs_date_exited_17617428`, `hs_forecast_probability`, `hs_time_in_contractsent`, `is_majority_shareholder`, `num_associated_contacts`, `owner_direct_phone_line`, `preferred_field_of_work`, `reject_explanation_html`, `amount_monthly_repayment`, `bank_account_holder_name`, `bank_identification_code`, `calculation_fees_payable`, `date_application_pending`, `hs_date_entered_10719895`, `hs_date_entered_10719896`, `hs_date_entered_10719988`, `hs_date_entered_10810516`, `hs_date_entered_12298746`, `hs_date_entered_12305438`, `hs_date_entered_12445978`, `hs_date_entered_14583984`, `hs_date_entered_15241391`, `hs_date_entered_17617428`, `hs_date_exited_closedwon`, `legal_structure_specific`, `mensualites_recues_vrai_`, `notes_next_activity_date`, `number_of_failed_payment`, `reason_for_debit_failure`, `trigger_create_checklist`, `hs_date_entered_closedwon`, `hs_date_exited_closedlost`, `hs_deal_stage_probability`, `hs_time_in_qualifiedtobuy`, `hs_user_ids_of_all_owners`, `looti_scoring_explanation`, `number_legal_registration`, `statut_juridique_confirme`, `amount_gross_revenue_mansa`, `hs_all_accessible_team_ids`, `hs_analytics_source_data_1`, `hs_analytics_source_data_2`, `hs_date_entered_closedlost`, `hs_latest_meeting_activity`, `hubspot_owner_assigneddate`, `is_tax_compliance_verified`, `hs_all_deal_split_owner_ids`, `hs_date_exited_contractsent`, `hs_manual_forecast_category`, `hs_sales_email_last_replied`, `hs_date_entered_contractsent`, `date_de_fermeture_financement`, `date_de_remboursement_du_pret`, `hs_date_exited_qualifiedtobuy`, `hs_date_entered_qualifiedtobuy`, `motif_conversion_perdue_cases_`, `remboursement_par_anticipation`, `engagements_last_meeting_booked`, `hs_time_in_appointmentscheduled`, `motif_refus_banque_mansa_cases_`, `hs_deal_stage_probability_shadow`, `hs_time_in_decisionmakerboughtin`, `hs_time_in_presentationscheduled`, `hs_all_assigned_business_unit_ids`, `hs_closed_amount_in_home_currency`, `hs_date_exited_appointmentscheduled`, `hs_date_entered_appointmentscheduled`, `hs_date_exited_decisionmakerboughtin`, `hs_date_exited_presentationscheduled`, `hs_predicted_amount_in_home_currency`, `hs_projected_amount_in_home_currency`, `hs_date_entered_decisionmakerboughtin`, `hs_date_entered_presentationscheduled`, `hs_deal_amount_calculation_preference`, `comment_avez_vous_decouvert_mansa_new_`, `engagements_last_meeting_booked_medium`, `engagements_last_meeting_booked_source`, `engagements_last_meeting_booked_campaign`, `hs_user_ids_of_all_notification_followers`, `hs_user_ids_of_all_notification_unfollowers`, `hs_line_item_global_term_hs_discount_percentage`, `hs_line_item_global_term_recurringbillingfrequency`, `hs_line_item_global_term_hs_recurring_billing_period`, `hs_line_item_global_term_hs_discount_percentage_enabled`, `hs_line_item_global_term_hs_recurring_billing_start_date`, `hs_line_item_global_term_recurringbillingfrequency_enabled`, `hs_line_item_global_term_hs_recurring_billing_period_enabled`, `hs_line_item_global_term_hs_recurring_billing_start_date_enabled`, `_airbyte_ab_id`, `_airbyte_emitted_at`, `_airbyte_normalized_at`, `_airbyte_properties_hashid`) 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 2022-04-13 05:22:22 normalization > 05:18:15.524821 [debug] [Thread-7 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:18:15.525625 [info ] [Thread-7 ]: 49 of 77 OK created incremental model hubspot_.deals_properties......................................................... [MERGE (68.4k rows, 74.9 MB processed) in 837.13s] 2022-04-13 05:22:22 normalization > 05:18:15.526308 [debug] [Thread-7 ]: Finished running node model.airbyte_utils.deals_properties 2022-04-13 05:22:22 normalization > 05:22:18.096855 [debug] [Thread-5 ]: finished collecting timing info 2022-04-13 05:22:22 normalization > 05:22:18.097416 [debug] [Thread-5 ]: Database Error in model contacts_properties (models/generated/airbyte_incremental/hubspot_/contacts_properties.sql) 2022-04-13 05:22:22 normalization > Invalid date: '1 an et demi' 2022-04-13 05:22:22 normalization > 05:22:18.097869 [error] [Thread-5 ]: 47 of 77 ERROR creating incremental model hubspot_.contacts_properties.................................................. [ERROR in 1082.35s] 2022-04-13 05:22:22 normalization > 05:22:18.098317 [debug] [Thread-5 ]: Finished running node model.airbyte_utils.contacts_properties 2022-04-13 05:22:22 normalization > 05:22:18.100128 [debug] [MainThread]: Acquiring new bigquery connection "master" 2022-04-13 05:22:22 normalization > 05:22:18.100904 [info ] [MainThread]: 2022-04-13 05:22:22 normalization > 05:22:18.101275 [info ] [MainThread]: Finished running 30 table models, 47 incremental models in 1157.76s. 2022-04-13 05:22:22 normalization > 05:22:18.101602 [debug] [MainThread]: Connection 'master' was properly closed. 2022-04-13 05:22:22 normalization > 05:22:18.101752 [debug] [MainThread]: Connection 'model.airbyte_utils.engagements_metadata_to' was properly closed. 2022-04-13 05:22:22 normalization > 05:22:18.101885 [debug] [MainThread]: Connection 'model.airbyte_utils.engagements_metadata_cc' was properly closed. 2022-04-13 05:22:22 normalization > 05:22:18.102015 [debug] [MainThread]: Connection 'model.airbyte_utils.engagements_metadata_sender' was properly closed. 2022-04-13 05:22:22 normalization > 05:22:18.102141 [debug] [MainThread]: Connection 'model.airbyte_utils.contacts_properties' was properly closed. 2022-04-13 05:22:22 normalization > 05:22:18.102314 [debug] [MainThread]: Connection 'model.airbyte_utils.engagements_metadata_from' was properly closed. 2022-04-13 05:22:22 normalization > 05:22:18.102450 [debug] [MainThread]: Connection 'model.airbyte_utils.engagements_metadata_from_ab3' was properly closed. 2022-04-13 05:22:22 normalization > 05:22:18.102576 [debug] [MainThread]: Connection 'model.airbyte_utils.deals_properties' was properly closed. 2022-04-13 05:22:22 normalization > 05:22:18.102712 [debug] [MainThread]: Connection 'model.airbyte_utils.engagements_metadata_bcc' was properly closed. 2022-04-13 05:22:22 normalization > 05:22:18.188253 [info ] [MainThread]: 2022-04-13 05:22:22 normalization > 05:22:18.188673 [info ] [MainThread]: Completed with 2 errors and 0 warnings: 2022-04-13 05:22:22 normalization > 05:22:18.189019 [info ] [MainThread]: 2022-04-13 05:22:22 normalization > 05:22:18.189306 [error] [MainThread]: Database Error in model ticket_pipelines (models/generated/airbyte_tables/hubspot_/ticket_pipelines.sql) 2022-04-13 05:22:22 normalization > 05:22:18.189600 [error] [MainThread]: Bad int64 value: 1970-01-01T00:00:00Z 2022-04-13 05:22:22 normalization > 05:22:18.189853 [error] [MainThread]: compiled SQL at ../build/run/airbyte_utils/models/generated/airbyte_tables/hubspot_/ticket_pipelines.sql 2022-04-13 05:22:22 normalization > 05:22:18.190107 [info ] [MainThread]: 2022-04-13 05:22:22 normalization > 05:22:18.190381 [error] [MainThread]: Database Error in model contacts_properties (models/generated/airbyte_incremental/hubspot_/contacts_properties.sql) 2022-04-13 05:22:22 normalization > 05:22:18.190657 [error] [MainThread]: Invalid date: '1 an et demi' 2022-04-13 05:22:22 normalization > 05:22:18.191009 [info ] [MainThread]: 2022-04-13 05:22:22 normalization > 05:22:18.191296 [info ] [MainThread]: Done. PASS=73 WARN=0 ERROR=2 SKIP=2 TOTAL=77 2022-04-13 05:22:22 INFO i.a.v.j.JsonSchemaValidator(test):56 - JSON schema validation failed. errors: $.credential: is not defined in the schema and the schema does not allow additional properties, $.part_size_mb: is not defined in the schema and the schema does not allow additional properties, $.gcs_bucket_name: is not defined in the schema and the schema does not allow additional properties, $.gcs_bucket_path: is not defined in the schema and the schema does not allow additional properties, $.keep_files_in_gcs-bucket: is not defined in the schema and the schema does not allow additional properties, $.method: must be a constant value Standard 2022-04-13 05:22:22 INFO i.a.w.t.TemporalAttemptExecution(lambda$getWorkerThread$2):158 - Completing future exceptionally... io.airbyte.workers.WorkerException: Normalization Failed. at io.airbyte.workers.DefaultNormalizationWorker.run(DefaultNormalizationWorker.java:60) ~[io.airbyte-airbyte-workers-0.35.64-alpha.jar:?] at io.airbyte.workers.DefaultNormalizationWorker.run(DefaultNormalizationWorker.java:18) ~[io.airbyte-airbyte-workers-0.35.64-alpha.jar:?] at io.airbyte.workers.temporal.TemporalAttemptExecution.lambda$getWorkerThread$2(TemporalAttemptExecution.java:155) ~[io.airbyte-airbyte-workers-0.35.64-alpha.jar:?] at java.lang.Thread.run(Thread.java:833) [?:?] Caused by: io.airbyte.workers.WorkerException: Normalization Failed. at io.airbyte.workers.DefaultNormalizationWorker.run(DefaultNormalizationWorker.java:57) ~[io.airbyte-airbyte-workers-0.35.64-alpha.jar:?] ... 3 more Suppressed: io.airbyte.workers.WorkerException: Normalization process wasn't successful at io.airbyte.workers.normalization.DefaultNormalizationRunner.close(DefaultNormalizationRunner.java:160) ~[io.airbyte-airbyte-workers-0.35.64-alpha.jar:?] at io.airbyte.workers.DefaultNormalizationWorker.run(DefaultNormalizationWorker.java:45) ~[io.airbyte-airbyte-workers-0.35.64-alpha.jar:?] at io.airbyte.workers.DefaultNormalizationWorker.run(DefaultNormalizationWorker.java:18) ~[io.airbyte-airbyte-workers-0.35.64-alpha.jar:?] at io.airbyte.workers.temporal.TemporalAttemptExecution.lambda$getWorkerThread$2(TemporalAttemptExecution.java:155) ~[io.airbyte-airbyte-workers-0.35.64-alpha.jar:?] at java.lang.Thread.run(Thread.java:833) [?:?] 2022-04-13 05:22:22 INFO i.a.w.t.TemporalAttemptExecution(get):131 - Stopping cancellation check scheduling... 2022-04-13 05:22:22 INFO i.a.w.t.TemporalUtils(withBackgroundHeartbeat):235 - Stopping temporal heartbeating... 2022-04-13 05:22:22 WARN i.t.i.a.POJOActivityTaskHandler(activityFailureToResult):307 - Activity failure. ActivityId=b3bf8196-7d42-34a5-9555-0704916657f7, activityType=Normalize, attempt=1 java.lang.RuntimeException: io.temporal.serviceclient.CheckedExceptionWrapper: java.util.concurrent.ExecutionException: io.airbyte.workers.WorkerException: Normalization Failed. at io.airbyte.workers.temporal.TemporalUtils.withBackgroundHeartbeat(TemporalUtils.java:233) ~[io.airbyte-airbyte-workers-0.35.64-alpha.jar:?] at io.airbyte.workers.temporal.sync.NormalizationActivityImpl.normalize(NormalizationActivityImpl.java:71) ~[io.airbyte-airbyte-workers-0.35.64-alpha.jar:?] at jdk.internal.reflect.GeneratedMethodAccessor510.invoke(Unknown Source) ~[?:?] at jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) ~[?:?] at java.lang.reflect.Method.invoke(Method.java:568) ~[?:?] at io.temporal.internal.activity.POJOActivityTaskHandler$POJOActivityInboundCallsInterceptor.execute(POJOActivityTaskHandler.java:214) ~[temporal-sdk-1.8.1.jar:?] at io.temporal.internal.activity.POJOActivityTaskHandler$POJOActivityImplementation.execute(POJOActivityTaskHandler.java:180) ~[temporal-sdk-1.8.1.jar:?] at io.temporal.internal.activity.POJOActivityTaskHandler.handle(POJOActivityTaskHandler.java:120) ~[temporal-sdk-1.8.1.jar:?] at io.temporal.internal.worker.ActivityWorker$TaskHandlerImpl.handle(ActivityWorker.java:204) ~[temporal-sdk-1.8.1.jar:?] at io.temporal.internal.worker.ActivityWorker$TaskHandlerImpl.handle(ActivityWorker.java:164) ~[temporal-sdk-1.8.1.jar:?] at io.temporal.internal.worker.PollTaskExecutor.lambda$process$0(PollTaskExecutor.java:93) ~[temporal-sdk-1.8.1.jar:?] at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1136) [?:?] at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:635) [?:?] at java.lang.Thread.run(Thread.java:833) [?:?] Caused by: io.temporal.serviceclient.CheckedExceptionWrapper: java.util.concurrent.ExecutionException: io.airbyte.workers.WorkerException: Normalization Failed. at io.temporal.serviceclient.CheckedExceptionWrapper.wrap(CheckedExceptionWrapper.java:56) ~[temporal-serviceclient-1.8.1.jar:?] at io.temporal.internal.sync.WorkflowInternal.wrap(WorkflowInternal.java:448) ~[temporal-sdk-1.8.1.jar:?] at io.temporal.activity.Activity.wrap(Activity.java:51) ~[temporal-sdk-1.8.1.jar:?] at io.airbyte.workers.temporal.TemporalAttemptExecution.get(TemporalAttemptExecution.java:135) ~[io.airbyte-airbyte-workers-0.35.64-alpha.jar:?] at io.airbyte.workers.temporal.sync.NormalizationActivityImpl.lambda$normalize$1(NormalizationActivityImpl.java:97) ~[io.airbyte-airbyte-workers-0.35.64-alpha.jar:?] at io.airbyte.workers.temporal.TemporalUtils.withBackgroundHeartbeat(TemporalUtils.java:228) ~[io.airbyte-airbyte-workers-0.35.64-alpha.jar:?] ... 13 more Caused by: java.util.concurrent.ExecutionException: io.airbyte.workers.WorkerException: Normalization Failed. at java.util.concurrent.CompletableFuture.reportGet(CompletableFuture.java:396) ~[?:?] at java.util.concurrent.CompletableFuture.get(CompletableFuture.java:2073) ~[?:?] at io.airbyte.workers.temporal.TemporalAttemptExecution.get(TemporalAttemptExecution.java:129) ~[io.airbyte-airbyte-workers-0.35.64-alpha.jar:?] at io.airbyte.workers.temporal.sync.NormalizationActivityImpl.lambda$normalize$1(NormalizationActivityImpl.java:97) ~[io.airbyte-airbyte-workers-0.35.64-alpha.jar:?] at io.airbyte.workers.temporal.TemporalUtils.withBackgroundHeartbeat(TemporalUtils.java:228) ~[io.airbyte-airbyte-workers-0.35.64-alpha.jar:?] ... 13 more Caused by: io.airbyte.workers.WorkerException: Normalization Failed. at io.airbyte.workers.DefaultNormalizationWorker.run(DefaultNormalizationWorker.java:60) ~[io.airbyte-airbyte-workers-0.35.64-alpha.jar:?] at io.airbyte.workers.DefaultNormalizationWorker.run(DefaultNormalizationWorker.java:18) ~[io.airbyte-airbyte-workers-0.35.64-alpha.jar:?] at io.airbyte.workers.temporal.TemporalAttemptExecution.lambda$getWorkerThread$2(TemporalAttemptExecution.java:155) ~[io.airbyte-airbyte-workers-0.35.64-alpha.jar:?] ... 1 more Caused by: io.airbyte.workers.WorkerException: Normalization Failed. at io.airbyte.workers.DefaultNormalizationWorker.run(DefaultNormalizationWorker.java:57) ~[io.airbyte-airbyte-workers-0.35.64-alpha.jar:?] at io.airbyte.workers.DefaultNormalizationWorker.run(DefaultNormalizationWorker.java:18) ~[io.airbyte-airbyte-workers-0.35.64-alpha.jar:?] at io.airbyte.workers.temporal.TemporalAttemptExecution.lambda$getWorkerThread$2(TemporalAttemptExecution.java:155) ~[io.airbyte-airbyte-workers-0.35.64-alpha.jar:?] ... 1 more Suppressed: io.airbyte.workers.WorkerException: Normalization process wasn't successful at io.airbyte.workers.normalization.DefaultNormalizationRunner.close(DefaultNormalizationRunner.java:160) ~[io.airbyte-airbyte-workers-0.35.64-alpha.jar:?] at io.airbyte.workers.DefaultNormalizationWorker.run(DefaultNormalizationWorker.java:45) ~[io.airbyte-airbyte-workers-0.35.64-alpha.jar:?] at io.airbyte.workers.DefaultNormalizationWorker.run(DefaultNormalizationWorker.java:18) ~[io.airbyte-airbyte-workers-0.35.64-alpha.jar:?] at io.airbyte.workers.temporal.TemporalAttemptExecution.lambda$getWorkerThread$2(TemporalAttemptExecution.java:155) ~[io.airbyte-airbyte-workers-0.35.64-alpha.jar:?] at java.lang.Thread.run(Thread.java:833) [?:?]