2022-06-13 13:13:38 INFO i.a.w.w.WorkerRun(call):49 - Executing worker wrapper. Airbyte version: 0.35.4-alpha
2022-06-13 13:13:38 INFO i.a.w.t.TemporalAttemptExecution(get):118 - Docker volume job log path: /tmp/workspace/3837/0/logs.log
2022-06-13 13:13:38 INFO i.a.w.t.TemporalAttemptExecution(get):123 - Executing worker wrapper. Airbyte version: version not set
2022-06-13 13:13:38 WARN i.a.d.Databases(createPostgresDatabaseWithRetryTimeout):65 - Waiting for database to become available...
2022-06-13 13:13:38 INFO i.a.d.i.j.JobsDatabaseInstance(lambda$static$2):25 - Testing if jobs database is ready...
2022-06-13 13:13:38 INFO i.a.d.Databases(createPostgresDatabaseWithRetryTimeout):90 - Database available!
2022-06-13 13:13:38 INFO i.a.d.Databases(createPostgresDatabaseWithRetry):48 - Database available!
2022-06-13 13:13:39 INFO i.a.w.DefaultReplicationWorker(run):99 - start sync worker. job id: 3837 attempt id: 0
2022-06-13 13:13:39 INFO i.a.w.DefaultReplicationWorker(run):108 - configured sync modes: {public.orders=full_refresh - overwrite}
2022-06-13 13:13:39 INFO i.a.w.p.a.DefaultAirbyteDestination(start):69 - Running destination...
2022-06-13 13:13:39 INFO i.a.c.i.LineGobbler(voidCall):82 - Checking if airbyte/destination-bigquery:1.1.8 exists...
2022-06-13 13:13:39 INFO i.a.c.i.LineGobbler(voidCall):82 - airbyte/destination-bigquery:1.1.8 was found locally.
2022-06-13 13:13:39 INFO i.a.w.p.DockerProcessFactory(create):171 - Preparing command: docker run --rm --init -i -v airbyte_workspace:/data -v /tmp/airbyte_local:/local -w /data/3837/0 --network host --log-driver none airbyte/destination-bigquery:1.1.8 write --config destination_config.json --catalog destination_catalog.json
2022-06-13 13:13:39 INFO i.a.c.i.LineGobbler(voidCall):82 - Checking if airbyte/source-postgres:0.4.21 exists...
2022-06-13 13:13:39 INFO i.a.c.i.LineGobbler(voidCall):82 - airbyte/source-postgres:0.4.21 was found locally.
2022-06-13 13:13:39 INFO i.a.w.p.DockerProcessFactory(create):171 - Preparing command: docker run --rm --init -i -v airbyte_workspace:/data -v /tmp/airbyte_local:/local -w /data/3837/0 --network host --log-driver none airbyte/source-postgres:0.4.21 read --config source_config.json --catalog source_catalog.json --state input_state.json
2022-06-13 13:13:39 INFO i.a.w.DefaultReplicationWorker(lambda$getDestinationOutputRunnable$3):242 - Destination output thread started.
2022-06-13 13:13:39 INFO i.a.w.DefaultReplicationWorker(run):130 - Waiting for source and destination threads to complete.
2022-06-13 13:13:39 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$2):203 - Replication thread started.
2022-06-13 13:13:39 source > SLF4J: Class path contains multiple SLF4J bindings.
2022-06-13 13:13:39 source > SLF4J: Found binding in [jar:file:/airbyte/lib/log4j-slf4j-impl-2.17.1.jar!/org/slf4j/impl/StaticLoggerBinder.class]
2022-06-13 13:13:39 source > SLF4J: Found binding in [jar:file:/airbyte/lib/slf4j-log4j12-1.7.30.jar!/org/slf4j/impl/StaticLoggerBinder.class]
2022-06-13 13:13:39 source > SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation.
2022-06-13 13:13:40 destination > SLF4J: Class path contains multiple SLF4J bindings.
2022-06-13 13:13:40 destination > SLF4J: Found binding in [jar:file:/airbyte/lib/log4j-slf4j-impl-2.17.1.jar!/org/slf4j/impl/StaticLoggerBinder.class]
2022-06-13 13:13:40 destination > SLF4J: Found binding in [jar:file:/airbyte/lib/slf4j-log4j12-1.7.25.jar!/org/slf4j/impl/StaticLoggerBinder.class]
2022-06-13 13:13:40 destination > SLF4J: Found binding in [jar:file:/airbyte/lib/logback-classic-1.2.3.jar!/org/slf4j/impl/StaticLoggerBinder.class]
2022-06-13 13:13:40 destination > SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation.
2022-06-13 13:13:40 source > SLF4J: Actual binding is of type [org.apache.logging.slf4j.Log4jLoggerFactory]
2022-06-13 13:13:40 destination > SLF4J: Actual binding is of type [org.apache.logging.slf4j.Log4jLoggerFactory]
2022-06-13 13:13:41 source > 2022-06-13 13:13:41 INFO i.a.i.s.p.PostgresSource(main):409 - starting source: class io.airbyte.integrations.source.postgres.PostgresSource
2022-06-13 13:13:41 source > 2022-06-13 13:13:41 INFO i.a.i.b.IntegrationCliParser(parseOptions):118 - integration args: {read=null, catalog=source_catalog.json, state=input_state.json, config=source_config.json}
2022-06-13 13:13:41 source > 2022-06-13 13:13:41 INFO i.a.i.b.IntegrationRunner(runInternal):123 - Running integration: io.airbyte.integrations.base.ssh.SshWrappedSource
2022-06-13 13:13:41 source > 2022-06-13 13:13:41 INFO i.a.i.b.IntegrationRunner(runInternal):124 - Command: READ
2022-06-13 13:13:41 source > 2022-06-13 13:13:41 INFO i.a.i.b.IntegrationRunner(runInternal):125 - Integration config: IntegrationConfig{command=READ, configPath='source_config.json', catalogPath='source_catalog.json', statePath='input_state.json'}
2022-06-13 13:13:42 destination > 2022-06-13 13:13:42 INFO i.a.i.b.IntegrationCliParser(parseOptions):118 - integration args: {catalog=destination_catalog.json, write=null, config=destination_config.json}
2022-06-13 13:13:42 destination > 2022-06-13 13:13:42 INFO i.a.i.b.IntegrationRunner(runInternal):123 - Running integration: io.airbyte.integrations.destination.bigquery.BigQueryDestination
2022-06-13 13:13:42 destination > 2022-06-13 13:13:42 INFO i.a.i.b.IntegrationRunner(runInternal):124 - Command: WRITE
2022-06-13 13:13:42 destination > 2022-06-13 13:13:42 INFO i.a.i.b.IntegrationRunner(runInternal):125 - Integration config: IntegrationConfig{command=WRITE, configPath='destination_config.json', catalogPath='destination_catalog.json', statePath='null'}
2022-06-13 13:13:42 source > 2022-06-13 13:13:42 WARN c.n.s.JsonMetaSchema(newValidator):338 - Unknown keyword order - you should define your own Meta Schema. If the keyword is irrelevant for validation, just use a NonValidationKeyword
2022-06-13 13:13:42 source > 2022-06-13 13:13:42 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
2022-06-13 13:13:42 source > 2022-06-13 13:13:42 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
2022-06-13 13:13:42 source > 2022-06-13 13:13:42 WARN c.n.s.JsonMetaSchema(newValidator):338 - Unknown keyword multiline - you should define your own Meta Schema. If the keyword is irrelevant for validation, just use a NonValidationKeyword
2022-06-13 13:13:42 destination > 2022-06-13 13:13:42 WARN c.n.s.JsonMetaSchema(newValidator):338 - Unknown keyword order - you should define your own Meta Schema. If the keyword is irrelevant for validation, just use a NonValidationKeyword
2022-06-13 13:13:42 destination > 2022-06-13 13:13:42 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
2022-06-13 13:13:42 destination > 2022-06-13 13:13:42 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
2022-06-13 13:13:42 destination > 2022-06-13 13:13:42 INFO i.a.i.d.b.BigQueryUtils(getLoadingMethod):306 - Selected loading method is set to: STANDARD
2022-06-13 13:13:42 destination > 2022-06-13 13:13:42 WARN i.a.i.d.b.BigQueryDestination(getConsumer):197 - The "standard" upload mode is not performant, and is not recommended for production. Please use the GCS upload mode if you are syncing a large amount of data.
2022-06-13 13:13:42 destination > 2022-06-13 13:13:42 INFO i.a.i.d.b.BigQueryUtils(getLoadingMethod):306 - Selected loading method is set to: STANDARD
2022-06-13 13:13:42 source > 2022-06-13 13:13:42 INFO i.a.i.b.s.SshTunnel(getInstance):170 - Starting connection with method: NO_TUNNEL
2022-06-13 13:13:43 source > 2022-06-13 13:13:43 INFO c.z.h.HikariDataSource(<init>):80 - HikariPool-1 - Starting...
2022-06-13 13:13:43 source > 2022-06-13 13:13:43 INFO c.z.h.HikariDataSource(<init>):82 - HikariPool-1 - Start completed.
2022-06-13 13:13:43 source > 2022-06-13 13:13:43 INFO i.a.i.s.p.PostgresSource(isCdc):258 - using CDC: false
2022-06-13 13:13:43 source > 2022-06-13 13:13:43 INFO i.a.i.s.j.AbstractJdbcSource(lambda$getCheckOperations$1):93 - Attempting to get metadata from the database to see if we can connect.
2022-06-13 13:13:43 source > 2022-06-13 13:13:43 INFO c.z.h.HikariDataSource(close):350 - HikariPool-1 - Shutdown initiated...
2022-06-13 13:13:43 source > 2022-06-13 13:13:43 INFO c.z.h.HikariDataSource(close):352 - HikariPool-1 - Shutdown completed.
2022-06-13 13:13:43 source > 2022-06-13 13:13:43 INFO i.a.i.s.r.CdcStateManager(<init>):26 - Initialized CDC state with: null
2022-06-13 13:13:43 source > 2022-06-13 13:13:43 INFO i.a.i.s.r.StateManager(createCursorInfoForStream):118 - No cursor field set in catalog but not present in state. Stream: AirbyteStreamNameNamespacePair{name='orders', namespace='public'}, New Cursor Field: null. Resetting cursor value
2022-06-13 13:13:43 source > 2022-06-13 13:13:43 INFO c.z.h.HikariDataSource(<init>):80 - HikariPool-2 - Starting...
2022-06-13 13:13:43 source > 2022-06-13 13:13:43 INFO c.z.h.HikariDataSource(<init>):82 - HikariPool-2 - Start completed.
2022-06-13 13:13:43 source > 2022-06-13 13:13:43 INFO i.a.i.s.p.PostgresSource(discoverInternal):144 - Checking schema: public
2022-06-13 13:13:43 source > 2022-06-13 13:13:43 INFO i.a.i.s.j.AbstractJdbcSource(discoverInternal):121 - Internal schemas to exclude: [catalog_history, information_schema, pg_catalog, pg_internal]
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.d.j.s.AdaptiveStreamingQueryConfig(initialize):38 - Set initial fetch size: 10 rows
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.d.j.s.TwoStageSizeEstimator(getTargetBufferByteSize):72 - Max memory limit: 6249512960, JDBC buffer size: 1073741824
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table product_reports column id (type bigserial[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table product_reports column product_id (type int8[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table product_reports column buyer_user_id (type int8[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table product_reports column type (type int4[10]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table product_reports column price_when_reported (type numeric[10]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table product_reports column created_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table product_reports column updated_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table product_reports column product_order_id (type int8[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table memento_sessions column id (type bigserial[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table memento_sessions column user_id (type int4[10]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table memento_sessions column created_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table memento_sessions column updated_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table payer_buyer_locations column id (type bigserial[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table payer_buyer_locations column buyer_location_id (type int8[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table payer_buyer_locations column payer_id (type int8[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table payer_buyer_locations column created_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table payer_buyer_locations column updated_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table payer_buyer_locations column buyer_id (type int8[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table freight_partners column id (type bigserial[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table freight_partners column trading_name (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table freight_partners column business_name (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table freight_partners column cnpj (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table freight_partners column cpf (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table freight_partners column website (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table freight_partners column point_of_contact (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table freight_partners column email (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table freight_partners column whatsapp (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table freight_partners column payment_type (type int4[10]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table freight_partners column created_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table freight_partners column updated_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table freight_partners column is_dedicated (type bool[1]) -> JsonSchemaType({type=boolean})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table freight_partners column daily_fee (type numeric[0]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table freight_partners column active (type bool[1]) -> JsonSchemaType({type=boolean})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table active_storage_blobs column id (type bigserial[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table active_storage_blobs column key (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table active_storage_blobs column filename (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table active_storage_blobs column content_type (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table active_storage_blobs column metadata (type text[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table active_storage_blobs column byte_size (type int8[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table active_storage_blobs column checksum (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table active_storage_blobs column created_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table active_storage_blobs column service_name (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table location_store_products column id (type bigserial[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table location_store_products column product_id (type int8[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table location_store_products column store_location_id (type int8[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table location_store_products column created_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table location_store_products column updated_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table location_store_products column pipefy_id (type int4[10]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table location_store_products column pipefy_store_location_id (type int4[10]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table location_store_products column pipefy_product_store_id (type int4[10]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table oico_users column id (type bigserial[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table oico_users column email (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table oico_users column encrypted_password (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table oico_users column reset_password_token (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table oico_users column reset_password_sent_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table oico_users column remember_created_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table oico_users column created_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table oico_users column updated_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table oico_users column active (type bool[1]) -> JsonSchemaType({type=boolean})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table categories column id (type bigserial[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table categories column name (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table categories column created_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table categories column updated_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table categories column category_id (type int8[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table categories column level (type int4[10]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table categories column visible_on_store_sign_up (type bool[1]) -> JsonSchemaType({type=boolean})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table buyers column id (type bigserial[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table buyers column state_registration (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table buyers column municipal_registration (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table buyers column business_name (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table buyers column trading_name (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table buyers column cnpj (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table buyers column type_company (type int4[10]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table buyers column average_monthly_spend (type int4[10]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table buyers column created_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table buyers column updated_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table buyers column truora_unfiltered_data (type jsonb[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table buyers column truora_current_irs_status (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table buyers column truora_legal_type (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table buyers column truora_started_on (type date[13]) -> JsonSchemaType({type=string, format=date})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table buyers column truora_address (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table buyers column truora_size (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table buyers column truora_business_name (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table buyers column truora_trading_name (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table buyers column truora_main_activities (type jsonb[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table buyers column truora_check_id (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table buyers column conta_azul (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table buyers column location_city (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table buyers column location_state (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table buyers column default_payer_id (type int8[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table buyers column financing_fee (type numeric[10]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table buyers column spend_limit (type numeric[10]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table buyers column wholesale (type bool[1]) -> JsonSchemaType({type=boolean})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table buyers column new_orders_blocked (type bool[1]) -> JsonSchemaType({type=boolean})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table buyers column max_term_days (type int4[10]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table freight_vehicle_types column id (type bigserial[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table freight_vehicle_types column name (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table freight_vehicle_types column description (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table freight_vehicle_types column capacity_in_kg (type int4[10]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table freight_vehicle_types column max_height (type int4[10]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table freight_vehicle_types column max_lenght (type int4[10]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table freight_vehicle_types column max_width (type int4[10]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table freight_vehicle_types column created_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table freight_vehicle_types column updated_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table freight_product_orders column id (type bigserial[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table freight_product_orders column product_order_id (type int8[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table freight_product_orders column freight_id (type int8[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table freight_product_orders column quantity_in_freight (type int4[10]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table freight_product_orders column internal_product_freight_note (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table freight_product_orders column created_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table freight_product_orders column updated_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table payments column id (type uuid[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table payments column order_id (type int8[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table payments column payer_id (type int8[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table payments column store_id (type int8[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table payments column freight_partner_id (type int8[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table payments column type (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table payments column status (type int4[10]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table payments column tax_document_number (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table payments column tax_document_link (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table payments column purchase_order_id (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table payments column purchase_order_link (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table payments column payment_value (type numeric[10]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table payments column paid_value (type numeric[10]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table payments column tax_note_issued_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table payments column created_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table payments column updated_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table payments column xml_link (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table payments column discount (type numeric[10]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table payments column extra_fees (type numeric[10]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table payments column omie_id (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table payments column canceled_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table payments column created_by (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table payments column postmark_message_id (type uuid[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table payments column postmark_read_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table payments column omie_account_id (type uuid[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table flipper_gates column id (type bigserial[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table flipper_gates column feature_key (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table flipper_gates column key (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table flipper_gates column value (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table flipper_gates column created_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table flipper_gates column updated_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table products column id (type bigserial[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table products column external_identify (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table products column name (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table products column description (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table products column details (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table products column product_canonical_id (type int8[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table products column created_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table products column updated_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table products column price (type numeric[10]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table products column oico_markup_wholesale (type numeric[10]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table products column store_id (type int4[10]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table products column pipefy_id (type int4[10]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table products column pipefy_store_id (type int4[10]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table products column type_quantity (type int4[10]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table products column conta_azul (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table products column problem_reported (type int8[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table products column height_per_unit (type numeric[0]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table products column lenght_per_unit (type numeric[0]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table products column width_per_unit (type numeric[0]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table products column weight_per_unit (type numeric[0]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table products column canonical_associated_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table products column trusted (type bool[1]) -> JsonSchemaType({type=boolean})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table products column minimum_quantity (type int4[10]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table products column ncm (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table products column omie_id (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table products column available_to_stores (type bool[1]) -> JsonSchemaType({type=boolean})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table products column oico_markup_retail (type numeric[10]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table products column available (type bool[1]) -> JsonSchemaType({type=boolean})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table products column on_offer (type bool[1]) -> JsonSchemaType({type=boolean})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table products column inserted_by (type int4[10]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table products column changed_by (type int4[10]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table buyer_locations column id (type bigserial[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table buyer_locations column location (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table buyer_locations column buyer_id (type int8[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table buyer_locations column created_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table buyer_locations column updated_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table buyer_locations column street (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table buyer_locations column address_details (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table buyer_locations column zipcode (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table buyer_locations column city (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table buyer_locations column state (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table buyer_locations column name (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table buyer_locations column lat (type numeric[10]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table buyer_locations column lng (type numeric[10]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table buyer_locations column google_place_id (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table store_order_quotes column id (type bigserial[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table store_order_quotes column store_id (type int8[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table store_order_quotes column order_id (type int8[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table store_order_quotes column product_id (type int8[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table store_order_quotes column quote_link (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table store_order_quotes column created_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table store_order_quotes column updated_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table store_order_quotes column sent_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table popular_searches column id (type bigserial[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table popular_searches column name (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table popular_searches column created_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table popular_searches column updated_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table faq_categories column id (type bigserial[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table faq_categories column name (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table faq_categories column created_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table faq_categories column updated_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table buyer_uploads column id (type bigserial[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table buyer_uploads column buyer_id (type int8[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table buyer_uploads column buyer_user_id (type int8[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table buyer_uploads column file_type (type int4[10]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table buyer_uploads column file_url (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table buyer_uploads column done (type bool[1]) -> JsonSchemaType({type=boolean})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table buyer_uploads column filename (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table active_storage_attachments column id (type bigserial[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table active_storage_attachments column name (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table active_storage_attachments column record_type (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table active_storage_attachments column record_id (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table active_storage_attachments column blob_id (type int8[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table active_storage_attachments column created_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table active_storage_variant_records column id (type bigserial[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table active_storage_variant_records column blob_id (type int8[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table active_storage_variant_records column variation_digest (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table stores column id (type bigserial[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table stores column state_registration (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table stores column municipal_registration (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table stores column business_name (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table stores column trading_name (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table stores column cnpj (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table stores column created_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table stores column updated_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table stores column bank_code (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table stores column bank_branch (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table stores column bank_account (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table stores column payment_type (type int4[10]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table stores column priority (type bool[1]) -> JsonSchemaType({type=boolean})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table stores column website (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table stores column sales_point_of_contact (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table stores column sales_email (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table stores column sales_whatsapp (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table stores column block (type bool[1]) -> JsonSchemaType({type=boolean})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table stores column pix_key (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table stores column minimum_response_time (type int4[10]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table stores column bank_account_check_digit (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table stores column manufacturer (type bool[1]) -> JsonSchemaType({type=boolean})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table stores column omie_id (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table stores column cnae (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table stores column bank_account_holder_name (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table stores column bank_account_holder_document (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table stores column activity (type int4[10]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table stores column national_simple (type bool[1]) -> JsonSchemaType({type=boolean})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table stores column payment_recommendations (type jsonb[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table stores column oico_partner (type bool[1]) -> JsonSchemaType({type=boolean})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table stores column store_type (type int4[10]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table transfeera_batches column id (type bigserial[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table transfeera_batches column name (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table transfeera_batches column transfeera_id (type int4[10]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table transfeera_batches column created_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table transfeera_batches column updated_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table requested_products column id (type bigserial[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table requested_products column original_description (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table requested_products column description (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table requested_products column comment (type text[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table requested_products column quantity (type int4[10]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table requested_products column order_id (type int8[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table requested_products column product_order_id (type int8[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table requested_products column product_canonical_id (type int8[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table requested_products column created_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table requested_products column updated_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table requested_products column deleted_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table requested_products column done_by_client (type bool[1]) -> JsonSchemaType({type=boolean})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table requested_products column unavailable (type bool[1]) -> JsonSchemaType({type=boolean})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table requested_products column user_preference (type int4[10]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table buyer_users column id (type bigserial[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table buyer_users column buyer_id (type int8[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table buyer_users column name (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table buyer_users column whatsapp (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table buyer_users column spend_limit (type numeric[10]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table buyer_users column active (type bool[1]) -> JsonSchemaType({type=boolean})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table buyer_users column created_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table buyer_users column updated_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table buyer_users column email (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table buyer_users column encrypted_password (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table buyer_users column reset_password_token (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table buyer_users column reset_password_sent_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table buyer_users column remember_created_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table buyer_users column referral_code (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table buyer_users column profile (type int4[10]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table buyer_users column own_referral_code (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table buyer_users column confirmation_token (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table buyer_users column confirmed_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table buyer_users column confirmation_sent_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table buyer_users column unconfirmed_email (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table pg_stat_statements column userid (type oid[10]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table pg_stat_statements column dbid (type oid[10]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table pg_stat_statements column queryid (type int8[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table pg_stat_statements column query (type text[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table pg_stat_statements column calls (type int8[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table pg_stat_statements column total_time (type float8[17]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table pg_stat_statements column min_time (type float8[17]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table pg_stat_statements column max_time (type float8[17]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table pg_stat_statements column mean_time (type float8[17]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table pg_stat_statements column stddev_time (type float8[17]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table pg_stat_statements column rows (type int8[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table pg_stat_statements column shared_blks_hit (type int8[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table pg_stat_statements column shared_blks_read (type int8[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table pg_stat_statements column shared_blks_dirtied (type int8[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table pg_stat_statements column shared_blks_written (type int8[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table pg_stat_statements column local_blks_hit (type int8[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table pg_stat_statements column local_blks_read (type int8[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table pg_stat_statements column local_blks_dirtied (type int8[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table pg_stat_statements column local_blks_written (type int8[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table pg_stat_statements column temp_blks_read (type int8[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table pg_stat_statements column temp_blks_written (type int8[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table pg_stat_statements column blk_read_time (type float8[17]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table pg_stat_statements column blk_write_time (type float8[17]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table terms column id (type bigserial[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table terms column link (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table terms column type (type int4[10]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table terms column version (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table terms column mandatory (type bool[1]) -> JsonSchemaType({type=boolean})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table terms column created_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table terms column updated_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table payment_installments column id (type uuid[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table payment_installments column payment_id (type uuid[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table payment_installments column status (type int4[10]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table payment_installments column installment_value (type numeric[10]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table payment_installments column installment_number (type int4[10]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table payment_installments column due_date (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table payment_installments column paid_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table payment_installments column canceled_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table payment_installments column created_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table payment_installments column updated_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table payment_installments column advance_payment (type bool[1]) -> JsonSchemaType({type=boolean})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table payment_installments column type (type int4[10]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table payment_installments column external_identify (type varchar[512]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table payment_installments column link (type text[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table payment_installments column metadata (type jsonb[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table payment_installments column transfeera_batch_id (type int8[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table payment_installments column receipt_url (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table payment_installments column bank_receipt_url (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table payment_installments column paid_value (type numeric[10]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table payment_installments column original_due_date (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table changebase_metadata column version (type int4[10]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table changebase_metadata column data (type jsonb[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table faq column id (type bigserial[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table faq column faq_category_id (type int8[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table faq column title (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table faq column description (type text[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table faq column created_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table faq column updated_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table payers column id (type bigserial[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table payers column cnpj (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table payers column cpf (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table payers column name (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table payers column billing_address (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table payers column phone_number (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table payers column email (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table payers column payment_terms_days (type int4[10]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table payers column credit_limit (type numeric[10]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table payers column created_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table payers column updated_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table payers column payer_confirmed (type bool[1]) -> JsonSchemaType({type=boolean})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table payers column payer_confirmed_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table payers column conta_azul (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table payers column internal_notes (type text[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table payers column omie_id (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table payers column cnae (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table payers column activity (type int4[10]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table payers column national_simple (type bool[1]) -> JsonSchemaType({type=boolean})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table payers column bank_code (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table payers column bank_branch (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table payers column bank_account (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table payers column bank_account_check_digit (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table payers column bank_account_holder_name (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table payers column bank_account_holder_document (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table payers column billing_address_state (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table payers column billing_address_city (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table payers column billing_address_street (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table payers column billing_address_district (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table payers column billing_address_zipcode (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table payers column state_registration (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table payers column tax_mode_simples (type bool[1]) -> JsonSchemaType({type=boolean})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table payers column final_consumer (type bool[1]) -> JsonSchemaType({type=boolean})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table shortened_urls column id (type serial[10]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table shortened_urls column owner_id (type int4[10]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table shortened_urls column owner_type (type varchar[20]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table shortened_urls column url (type text[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table shortened_urls column unique_key (type varchar[10]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 destination > 2022-06-13 13:13:44 INFO i.a.i.d.b.BigQueryUtils(createPartitionedTable):131 - Partitioned table created successfully: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=raw, tableId=_airbyte_tmp_psh_orders}}
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table shortened_urls column category (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table shortened_urls column use_count (type int4[10]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table shortened_urls column expires_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table shortened_urls column created_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table shortened_urls column updated_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table buyer_store_recommendations column id (type bigserial[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table buyer_store_recommendations column buyer_id (type int8[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table buyer_store_recommendations column buyer_user_id (type int8[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table buyer_store_recommendations column store_id (type int8[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table buyer_store_recommendations column store_name (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table buyer_store_recommendations column contact_name (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table buyer_store_recommendations column store_email (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table buyer_store_recommendations column store_phone (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table buyer_store_recommendations column created_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table buyer_store_recommendations column updated_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table term_acceptances column id (type bigserial[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table term_acceptances column term_id (type int8[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table term_acceptances column buyer_id (type int8[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table term_acceptances column created_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table term_acceptances column updated_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table term_acceptances column store_id (type int8[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table ar_internal_metadata column key (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table ar_internal_metadata column value (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table ar_internal_metadata column created_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table ar_internal_metadata column updated_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table freights column id (type bigserial[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table freights column order_id (type int8[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table freights column store_location_id (type int8[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table freights column buyer_location_id (type int8[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table freights column freight_scheduled_pickup_time (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table freights column freight_actual_pickup_time (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table freights column client_delivery_notes (type text[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table freights column internal_delivery_notes (type text[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table freights column created_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table freights column updated_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table freights column freight_weight (type numeric[0]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table freights column reverse_freight (type bool[1]) -> JsonSchemaType({type=boolean})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table freights column target_delivery_datetime (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table freights column actual_delivery_datetime (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table freights column estimated_arrival_delivery_datetime (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table freights column delivered (type bool[1]) -> JsonSchemaType({type=boolean})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table freights column received_by (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table freights column store_quote_id (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table freights column notified_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table freights column arrived_at_pick_up_location_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table freights column picked_up_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table freights column arrived_at_drop_off_location_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table freights column distance (type numeric[0]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table product_canonical_categories column id (type bigserial[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table product_canonical_categories column product_canonical_id (type int8[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table product_canonical_categories column category_id (type int8[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table product_canonical_categories column created_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table product_canonical_categories column updated_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table store_locations column id (type bigserial[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table store_locations column store_id (type int8[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table store_locations column location (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table store_locations column created_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table store_locations column updated_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table store_locations column street (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table store_locations column address_details (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table store_locations column zipcode (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table store_locations column city (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table store_locations column state (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table store_locations column pipefy_id (type int4[10]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table store_locations column lat (type numeric[10]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table store_locations column lng (type numeric[10]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table store_locations column google_place_id (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table reports column id (type bigserial[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table reports column buyer_user_id (type int8[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table reports column sended (type bool[1]) -> JsonSchemaType({type=boolean})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table reports column message (type text[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table reports column created_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table reports column updated_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table roi_products column id (type bigserial[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table roi_products column name (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table roi_products column price (type numeric[10]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table freight_routes column id (type bigserial[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table freight_routes column pipefy_id (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table freight_routes column freight_price (type numeric[0]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table freight_routes column freight_partner_external_id (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table freight_routes column freight_scheduled_delivery_datetime (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table freight_routes column freight_actual_delivery_datetime (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table freight_routes column freight_tracking_link (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table freight_routes column freight_delivery_point_of_contact (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table freight_routes column freight_delivery_poc_phone (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table freight_routes column client_delivery_notes (type text[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table freight_routes column product_problems (type jsonb[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table freight_routes column delivery_problems (type int4[10]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table freight_routes column created_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table freight_routes column updated_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table freight_routes column shareable_link_hash (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table freight_routes column freight_partner_vehicle_id (type int8[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table freight_routes column sequence (type jsonb[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table freight_routes column freight_partner_dedicated_when_associated (type bool[1]) -> JsonSchemaType({type=boolean})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table freight_routes column total_distance (type numeric[10]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table freight_routes column freight_route_partner_cost_id (type int8[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table stockout_events column id (type bigserial[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table stockout_events column order_id (type int8[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table stockout_events column product_id (type int8[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table stockout_events column price_when_deleted (type numeric[0]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table stockout_events column created_by (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table stockout_events column created_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table stockout_events column updated_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table freight_route_groupings column id (type bigserial[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table freight_route_groupings column created_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table freight_route_groupings column updated_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table freight_route_groupings column freight_id (type int8[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table freight_route_groupings column freight_route_id (type int8[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table freight_route_groupings column delivery_note_link (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table store_categories column id (type bigserial[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table store_categories column store_id (type int8[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table store_categories column category_id (type int8[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table store_categories column created_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table store_categories column updated_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table order_feedbacks column id (type bigserial[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table order_feedbacks column order_id (type int8[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table order_feedbacks column type (type int4[10]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table order_feedbacks column liked (type bool[1]) -> JsonSchemaType({type=boolean})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table order_feedbacks column created_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table order_feedbacks column updated_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table order_issues column id (type bigserial[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table order_issues column order_id (type int8[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table order_issues column buyer_user_id (type int8[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table order_issues column type (type int4[10]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table order_issues column delivery_problems (type int4[10]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table order_issues column product_problems (type jsonb[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table order_issues column created_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table order_issues column updated_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table order_issues column description (type text[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table order_issues column status (type int4[10]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table order_issues column confirmed_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table order_issues column canceled_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table responsible_deliveries column id (type bigserial[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table responsible_deliveries column name (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table responsible_deliveries column phone_number (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table responsible_deliveries column email (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table responsible_deliveries column buyer_id (type int8[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table responsible_deliveries column buyer_location_id (type int8[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table responsible_deliveries column created_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table responsible_deliveries column updated_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table flipper_features column id (type bigserial[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table flipper_features column key (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table flipper_features column created_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table flipper_features column updated_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table orders column id (type bigserial[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table orders column buyer_user_id (type int8[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table orders column buyer_location_id (type int8[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table orders column expected_date (type date[13]) -> JsonSchemaType({type=string, format=date})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table orders column oico_invoice (type bool[1]) -> JsonSchemaType({type=boolean})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table orders column shopping_list_url (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table orders column created_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table orders column updated_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table orders column status (type int4[10]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table orders column identify (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table orders column freight_code (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table orders column freight_link (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table orders column buyer_id (type int4[10]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table orders column value (type numeric[10]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table orders column freight_value (type numeric[10]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table orders column final_value (type numeric[10]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table orders column client_order_form (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table orders column pipefy_id (type int4[10]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table orders column expected_time (type time[15]) -> JsonSchemaType({type=string, format=time, airbyte_type=time_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table orders column fast_delivery (type bool[1]) -> JsonSchemaType({type=boolean})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table orders column approved_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table orders column conta_azul (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table orders column order_form (type jsonb[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table orders column expected_period (type int4[10]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table orders column flexible_delivery (type bool[1]) -> JsonSchemaType({type=boolean})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table orders column payer_id (type int4[10]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table orders column last_quote (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table orders column cancelation_reason (type int4[10]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table orders column cancelation_comment (type text[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table orders column shareable_link_hash (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table orders column internal_notes (type text[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table orders column discount (type numeric[10]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table orders column first_quote_sent_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table orders column client_internal_id (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table orders column client_notes (type text[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table orders column canceled_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table orders column comment (type text[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table orders column po_file_url (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table orders column money_saving (type numeric[10]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table orders column quote (type bool[1]) -> JsonSchemaType({type=boolean})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table orders column quote_estimate (type numeric[10]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table orders column automatic_quote (type bool[1]) -> JsonSchemaType({type=boolean})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table orders column parent_order_id (type int4[10]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table orders column internal_delivery_notes (type text[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table orders column type (type int4[10]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table orders column origin (type int4[10]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table orders column events (type jsonb[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table orders column expected_billing_due_date (type date[13]) -> JsonSchemaType({type=string, format=date})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table orders column financing_value (type numeric[10]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table orders column po_value (type numeric[10]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table orders column more_payment_terms (type bool[1]) -> JsonSchemaType({type=boolean})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table orders column quote_expires_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table orders column user_preference (type int4[10]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table orders column payment_method (type int4[10]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table orders column last_rdo_scheduling_message_sent_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table store_users column id (type bigserial[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table store_users column email (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table store_users column encrypted_password (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table store_users column reset_password_token (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table store_users column reset_password_sent_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table store_users column remember_created_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table store_users column created_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table store_users column updated_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table store_users column store_id (type int8[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table store_users column name (type text[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table store_users column phone_number (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table store_users column active (type bool[1]) -> JsonSchemaType({type=boolean})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table order_categories column id (type bigserial[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table order_categories column order_id (type int8[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table order_categories column category_id (type int8[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table order_categories column created_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table order_categories column updated_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table memento_states column id (type bigserial[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table memento_states column action_type (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table memento_states column record_data (type bytea[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table memento_states column record_type (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table memento_states column record_id (type int8[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table memento_states column session_id (type int8[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table memento_states column created_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table memento_states column updated_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table schema_migrations column version (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table freight_partner_vehicles column id (type bigserial[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table freight_partner_vehicles column freight_vehicle_type_id (type int8[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table freight_partner_vehicles column freight_partner_id (type int8[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table freight_partner_vehicles column plate (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table freight_partner_vehicles column created_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table freight_partner_vehicles column updated_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table freight_partner_vehicles column start_location (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table freight_partner_vehicles column start_lat (type numeric[10]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table freight_partner_vehicles column start_lng (type numeric[10]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table product_canonicals column id (type bigserial[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table product_canonicals column code (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table product_canonicals column name (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table product_canonicals column image (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table product_canonicals column created_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table product_canonicals column updated_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table product_canonicals column ean (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table product_canonicals column gtin (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table product_canonicals column height_per_unit (type numeric[0]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table product_canonicals column lenght_per_unit (type numeric[0]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table product_canonicals column width_per_unit (type numeric[0]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table product_canonicals column weight_per_unit (type numeric[0]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table product_canonicals column brand (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table product_canonicals column reference_price (type numeric[10]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table product_canonicals column created_by (type int4[10]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table product_orders column id (type bigserial[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table product_orders column product_id (type int8[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table product_orders column order_id (type int8[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table product_orders column quantity (type int4[10]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table product_orders column created_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table product_orders column updated_at (type timestamp[29]) -> JsonSchemaType({type=string, format=date-time, airbyte_type=timestamp_without_timezone})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table product_orders column product_price_when_associated (type numeric[10]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table product_orders column location_store_product_id (type int8[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table product_orders column pipefy_product_id (type int4[10]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table product_orders column pipefy_order_id (type int4[10]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table product_orders column pipefy_location_store_id (type int4[10]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table product_orders column type_quantity (type int4[10]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table product_orders column custom_product (type bool[1]) -> JsonSchemaType({type=boolean})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table product_orders column product_cost_when_associated (type numeric[10]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table product_orders column trusted_when_associated (type bool[1]) -> JsonSchemaType({type=boolean})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table product_orders column returned_to (type int4[10]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table product_orders column under_review (type bool[1]) -> JsonSchemaType({type=boolean})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table product_orders column oversized (type bool[1]) -> JsonSchemaType({type=boolean})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table product_orders column dispatched (type bool[1]) -> JsonSchemaType({type=boolean})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table product_orders column store_location_id (type int8[19]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table product_orders column store_quote_id (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table product_orders column fits_in_motorcycle (type bool[1]) -> JsonSchemaType({type=boolean})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table product_orders column quote_link (type varchar[2147483647]) -> JsonSchemaType({type=string})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table product_orders column low_stock (type bool[1]) -> JsonSchemaType({type=boolean})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table product_orders column canceled_by_store (type bool[1]) -> JsonSchemaType({type=boolean})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table product_orders column confirmed_by (type int4[10]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):143 - Table product_orders column store_cancelation_reason (type int4[10]) -> JsonSchemaType({type=number})
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.p.PostgresSource(discoverInternal):148 - Found table: public.product_reports
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.p.PostgresSource(discoverInternal):148 - Found table: public.memento_sessions
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.p.PostgresSource(discoverInternal):148 - Found table: public.payer_buyer_locations
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.p.PostgresSource(discoverInternal):148 - Found table: public.freight_partners
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.p.PostgresSource(discoverInternal):148 - Found table: public.active_storage_blobs
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.p.PostgresSource(discoverInternal):148 - Found table: public.location_store_products
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.p.PostgresSource(discoverInternal):148 - Found table: public.oico_users
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.p.PostgresSource(discoverInternal):148 - Found table: public.categories
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.p.PostgresSource(discoverInternal):148 - Found table: public.buyers
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.p.PostgresSource(discoverInternal):148 - Found table: public.freight_vehicle_types
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.p.PostgresSource(discoverInternal):148 - Found table: public.freight_product_orders
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.p.PostgresSource(discoverInternal):148 - Found table: public.payments
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.p.PostgresSource(discoverInternal):148 - Found table: public.flipper_gates
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.p.PostgresSource(discoverInternal):148 - Found table: public.products
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.p.PostgresSource(discoverInternal):148 - Found table: public.buyer_locations
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.p.PostgresSource(discoverInternal):148 - Found table: public.store_order_quotes
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.p.PostgresSource(discoverInternal):148 - Found table: public.popular_searches
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.p.PostgresSource(discoverInternal):148 - Found table: public.faq_categories
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.p.PostgresSource(discoverInternal):148 - Found table: public.buyer_uploads
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.p.PostgresSource(discoverInternal):148 - Found table: public.active_storage_attachments
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.p.PostgresSource(discoverInternal):148 - Found table: public.active_storage_variant_records
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.p.PostgresSource(discoverInternal):148 - Found table: public.stores
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.p.PostgresSource(discoverInternal):148 - Found table: public.transfeera_batches
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.p.PostgresSource(discoverInternal):148 - Found table: public.requested_products
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.p.PostgresSource(discoverInternal):148 - Found table: public.buyer_users
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.p.PostgresSource(discoverInternal):148 - Found table: public.pg_stat_statements
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.p.PostgresSource(discoverInternal):148 - Found table: public.terms
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.p.PostgresSource(discoverInternal):148 - Found table: public.payment_installments
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.p.PostgresSource(discoverInternal):148 - Found table: public.changebase_metadata
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.p.PostgresSource(discoverInternal):148 - Found table: public.faq
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.p.PostgresSource(discoverInternal):148 - Found table: public.payers
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.p.PostgresSource(discoverInternal):148 - Found table: public.shortened_urls
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.p.PostgresSource(discoverInternal):148 - Found table: public.buyer_store_recommendations
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.p.PostgresSource(discoverInternal):148 - Found table: public.term_acceptances
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.p.PostgresSource(discoverInternal):148 - Found table: public.ar_internal_metadata
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.p.PostgresSource(discoverInternal):148 - Found table: public.freights
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.p.PostgresSource(discoverInternal):148 - Found table: public.product_canonical_categories
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.p.PostgresSource(discoverInternal):148 - Found table: public.store_locations
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.p.PostgresSource(discoverInternal):148 - Found table: public.reports
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.p.PostgresSource(discoverInternal):148 - Found table: public.roi_products
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.p.PostgresSource(discoverInternal):148 - Found table: public.freight_routes
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.p.PostgresSource(discoverInternal):148 - Found table: public.stockout_events
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.p.PostgresSource(discoverInternal):148 - Found table: public.freight_route_groupings
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.p.PostgresSource(discoverInternal):148 - Found table: public.store_categories
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.p.PostgresSource(discoverInternal):148 - Found table: public.order_feedbacks
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.p.PostgresSource(discoverInternal):148 - Found table: public.order_issues
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.p.PostgresSource(discoverInternal):148 - Found table: public.responsible_deliveries
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.p.PostgresSource(discoverInternal):148 - Found table: public.flipper_features
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.p.PostgresSource(discoverInternal):148 - Found table: public.orders
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.p.PostgresSource(discoverInternal):148 - Found table: public.store_users
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.p.PostgresSource(discoverInternal):148 - Found table: public.order_categories
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.p.PostgresSource(discoverInternal):148 - Found table: public.memento_states
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.p.PostgresSource(discoverInternal):148 - Found table: public.schema_migrations
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.p.PostgresSource(discoverInternal):148 - Found table: public.freight_partner_vehicles
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.p.PostgresSource(discoverInternal):148 - Found table: public.product_canonicals
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.p.PostgresSource(discoverInternal):148 - Found table: public.product_orders
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.p.PostgresSource(isCdc):258 - using CDC: false
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.i.s.r.AbstractRelationalDbSource(queryTableFullRefresh):35 - Queueing query for table: orders
2022-06-13 13:13:44 source > 2022-06-13 13:13:44 INFO i.a.d.j.s.AdaptiveStreamingQueryConfig(initialize):38 - Set initial fetch size: 10 rows
2022-06-13 13:13:46 source > 2022-06-13 13:13:46 INFO i.a.d.j.s.TwoStageSizeEstimator(getTargetBufferByteSize):72 - Max memory limit: 6249512960, JDBC buffer size: 1073741824
2022-06-13 13:13:47 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$2):216 - Records read: 1000
2022-06-13 13:13:48 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$2):216 - Records read: 2000
2022-06-13 13:13:49 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$2):216 - Records read: 3000
2022-06-13 13:13:50 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$2):216 - Records read: 4000
2022-06-13 13:13:50 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$2):216 - Records read: 5000
2022-06-13 13:13:57 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$2):216 - Records read: 6000
2022-06-13 13:13:59 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$2):216 - Records read: 7000
2022-06-13 13:14:00 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$2):216 - Records read: 8000
2022-06-13 13:14:00 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$2):216 - Records read: 9000
2022-06-13 13:14:01 source > 2022-06-13 13:14:00 INFO i.a.i.s.r.AbstractDbSource(lambda$createReadIterator$7):256 - Reading stream orders. Records read: 10000
2022-06-13 13:14:01 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$2):216 - Records read: 10000
2022-06-13 13:14:01 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$2):216 - Records read: 11000
2022-06-13 13:14:02 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$2):216 - Records read: 12000
2022-06-13 13:14:02 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$2):216 - Records read: 13000
2022-06-13 13:14:03 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$2):216 - Records read: 14000
2022-06-13 13:14:03 INFO i.a.w.DefaultReplicationWorker(lambda$getReplicationRunnable$2):216 - Records read: 15000
2022-06-13 13:14:03 source > 2022-06-13 13:14:03 INFO i.a.i.s.r.AbstractDbSource(lambda$read$2):130 - Closing database connection pool.
2022-06-13 13:14:03 source > 2022-06-13 13:14:03 INFO c.z.h.HikariDataSource(close):350 - HikariPool-2 - Shutdown initiated...
2022-06-13 13:14:03 source > 2022-06-13 13:14:03 INFO c.z.h.HikariDataSource(close):352 - HikariPool-2 - Shutdown completed.
2022-06-13 13:14:03 source > 2022-06-13 13:14:03 INFO i.a.i.s.r.AbstractDbSource(lambda$read$2):132 - Closed database connection pool.
2022-06-13 13:14:03 source > 2022-06-13 13:14:03 INFO i.a.i.b.IntegrationRunner(runInternal):171 - Completed integration: io.airbyte.integrations.base.ssh.SshWrappedSource
2022-06-13 13:14:03 source > 2022-06-13 13:14:03 INFO i.a.i.s.p.PostgresSource(main):411 - completed source: class io.airbyte.integrations.source.postgres.PostgresSource
2022-06-13 13:14:03 INFO i.a.w.DefaultReplicationWorker(run):135 - One of source or destination thread complete. Waiting on the other.
2022-06-13 13:14:03 destination > 2022-06-13 13:14:03 INFO i.a.i.b.FailureTrackingAirbyteMessageConsumer(close):65 - Airbyte message consumer: succeeded.
2022-06-13 13:14:03 destination > 2022-06-13 13:14:03 INFO i.a.i.d.b.BigQueryRecordConsumer(close):58 - Started closing all connections
2022-06-13 13:14:03 destination > 2022-06-13 13:14:03 INFO i.a.i.d.b.u.AbstractBigQueryUploader(close):78 - Closing connector: AbstractBigQueryUploader{table=_airbyte_raw_orders, tmpTable=_airbyte_tmp_psh_orders, syncMode=WRITE_TRUNCATE, writer=class io.airbyte.integrations.destination.bigquery.writer.BigQueryTableWriter, recordFormatter=class io.airbyte.integrations.destination.bigquery.formatter.DefaultBigQueryRecordFormatter}
2022-06-13 13:14:05 destination > 2022-06-13 13:14:05 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):327 - Waiting for job finish Job{job=JobId{project=dwcasa, job=e3f8e524-960c-4e00-861e-76a585f1ea44, location=US}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1655126044483, endTime=null, startTime=1655126045294, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=airbyte@dwcasa.iam.gserviceaccount.com, etag=jXt3O4V1dbojI5e0iZ/pZA==, generatedId=dwcasa:US.e3f8e524-960c-4e00-861e-76a585f1ea44, selfLink=https://www.googleapis.com/bigquery/v2/projects/dwcasa/jobs/e3f8e524-960c-4e00-861e-76a585f1ea44?location=US, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=raw, projectId=dwcasa, tableId=_airbyte_tmp_psh_orders}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=CREATE_IF_NEEDED, writeDisposition=null, formatOptions=FormatOptions{format=NEWLINE_DELIMITED_JSON}, 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=null, schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=null, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}}. Status: JobStatus{state=RUNNING, error=null, executionErrors=null}
2022-06-13 13:14:11 destination > 2022-06-13 13:14:11 INFO i.a.i.d.b.BigQueryUtils(waitForJobFinish):329 - Job finish Job{job=JobId{project=dwcasa, job=e3f8e524-960c-4e00-861e-76a585f1ea44, location=US}, status=JobStatus{state=RUNNING, error=null, executionErrors=null}, statistics=LoadStatistics{creationTime=1655126044483, endTime=null, startTime=1655126045294, numChildJobs=null, parentJobId=null, scriptStatistics=null, reservationUsage=null, inputBytes=null, inputFiles=null, outputBytes=null, outputRows=null, badRecords=null}, userEmail=airbyte@dwcasa.iam.gserviceaccount.com, etag=jXt3O4V1dbojI5e0iZ/pZA==, generatedId=dwcasa:US.e3f8e524-960c-4e00-861e-76a585f1ea44, selfLink=https://www.googleapis.com/bigquery/v2/projects/dwcasa/jobs/e3f8e524-960c-4e00-861e-76a585f1ea44?location=US, configuration=LoadJobConfiguration{type=LOAD, destinationTable=GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=raw, projectId=dwcasa, tableId=_airbyte_tmp_psh_orders}}, decimalTargetTypes=null, destinationEncryptionConfiguration=null, createDisposition=CREATE_IF_NEEDED, writeDisposition=null, formatOptions=FormatOptions{format=NEWLINE_DELIMITED_JSON}, 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=null, schemaUpdateOptions=null, autodetect=null, timePartitioning=null, clustering=null, useAvroLogicalTypes=null, labels=null, jobTimeoutMs=null, rangePartitioning=null, hivePartitioningOptions=null}} with status JobStatus{state=RUNNING, error=null, executionErrors=null}
2022-06-13 13:14:11 destination > 2022-06-13 13:14:11 INFO i.a.i.d.b.u.AbstractBigQueryUploader(uploadData):95 - Uploading data from the tmp table _airbyte_tmp_psh_orders to the source table _airbyte_raw_orders.
2022-06-13 13:14:11 destination > 2022-06-13 13:14:11 INFO i.a.i.d.b.u.AbstractBigQueryUploader(uploadDataToTableFromTmpTable):120 - Replication finished with no explicit errors. Copying data from tmp tables to permanent
2022-06-13 13:14:14 destination > 2022-06-13 13:14:14 INFO i.a.i.d.b.u.AbstractBigQueryUploader(copyTable):185 - successfully copied table: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=raw, tableId=_airbyte_tmp_psh_orders}} to table: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=raw, tableId=_airbyte_raw_orders}}
2022-06-13 13:14:14 destination > 2022-06-13 13:14:14 INFO i.a.i.d.b.u.AbstractBigQueryUploader(uploadData):97 - Data is successfully loaded to the source table _airbyte_raw_orders!
2022-06-13 13:14:14 INFO i.a.v.j.JsonSchemaValidator(test):56 - JSON schema validation failed. 
errors: $: null found, object expected
2022-06-13 13:14:14 ERROR i.a.w.p.a.DefaultAirbyteStreamFactory(lambda$create$1):70 - Validation failed: null
2022-06-13 13:14:14 destination > 2022-06-13 13:14:14 INFO i.a.i.d.b.u.AbstractBigQueryUploader(uploadData):99 - Final state message is accepted.
2022-06-13 13:14:14 destination > 2022-06-13 13:14:14 INFO i.a.i.d.b.u.AbstractBigQueryUploader(dropTmpTable):111 - Removing tmp tables...
2022-06-13 13:14:14 destination > 2022-06-13 13:14:14 INFO i.a.i.d.b.u.AbstractBigQueryUploader(dropTmpTable):113 - Finishing destination process...completed
2022-06-13 13:14:14 destination > 2022-06-13 13:14:14 INFO i.a.i.d.b.u.AbstractBigQueryUploader(close):85 - Closed connector: AbstractBigQueryUploader{table=_airbyte_raw_orders, tmpTable=_airbyte_tmp_psh_orders, syncMode=WRITE_TRUNCATE, writer=class io.airbyte.integrations.destination.bigquery.writer.BigQueryTableWriter, recordFormatter=class io.airbyte.integrations.destination.bigquery.formatter.DefaultBigQueryRecordFormatter}
2022-06-13 13:14:14 destination > 2022-06-13 13:14:14 INFO i.a.i.b.IntegrationRunner(runInternal):171 - Completed integration: io.airbyte.integrations.destination.bigquery.BigQueryDestination
2022-06-13 13:14:14 INFO i.a.w.DefaultReplicationWorker(run):137 - Source and destination threads complete.
2022-06-13 13:14:14 INFO i.a.w.DefaultReplicationWorker(run):165 - sync summary: io.airbyte.config.ReplicationAttemptSummary@236b00a9[status=completed,recordsSynced=15505,bytesSynced=49618980,startTime=1655126019008,endTime=1655126054467]
2022-06-13 13:14:14 INFO i.a.w.DefaultReplicationWorker(run):174 - Source did not output any state messages
2022-06-13 13:14:14 WARN i.a.w.DefaultReplicationWorker(run):182 - State capture: No new state, falling back on input state: io.airbyte.config.State@5020ac14[state={}]
2022-06-13 13:14:14 INFO i.a.w.t.TemporalAttemptExecution(get):144 - Stopping cancellation check scheduling...
2022-06-13 13:14:14 INFO i.a.w.t.s.ReplicationActivityImpl(replicate):144 - sync summary: io.airbyte.config.StandardSyncOutput@29276688[standardSyncSummary=io.airbyte.config.StandardSyncSummary@5a7be148[status=completed,recordsSynced=15505,bytesSynced=49618980,startTime=1655126019008,endTime=1655126054467],state=io.airbyte.config.State@5020ac14[state={}],outputCatalog=io.airbyte.protocol.models.ConfiguredAirbyteCatalog@7b6bdc46[streams=[io.airbyte.protocol.models.ConfiguredAirbyteStream@3f681945[stream=io.airbyte.protocol.models.AirbyteStream@2d693b06[name=orders,jsonSchema={"type":"object","properties":{"id":{"type":"number"},"type":{"type":"number"},"quote":{"type":"boolean"},"value":{"type":"number"},"events":{"type":"string"},"origin":{"type":"number"},"status":{"type":"number"},"comment":{"type":"string"},"buyer_id":{"type":"number"},"discount":{"type":"number"},"identify":{"type":"string"},"payer_id":{"type":"number"},"po_value":{"type":"number"},"pipefy_id":{"type":"number"},"conta_azul":{"type":"string"},"created_at":{"type":"string","format":"date-time","airbyte_type":"timestamp_without_timezone"},"last_quote":{"type":"string"},"order_form":{"type":"string"},"updated_at":{"type":"string","format":"date-time","airbyte_type":"timestamp_without_timezone"},"approved_at":{"type":"string","format":"date-time","airbyte_type":"timestamp_without_timezone"},"canceled_at":{"type":"string","format":"date-time","airbyte_type":"timestamp_without_timezone"},"final_value":{"type":"number"},"po_file_url":{"type":"string"},"client_notes":{"type":"string"},"freight_code":{"type":"string"},"freight_link":{"type":"string"},"money_saving":{"type":"number"},"oico_invoice":{"type":"boolean"},"buyer_user_id":{"type":"number"},"expected_date":{"type":"string","format":"date"},"expected_time":{"type":"string","format":"time","airbyte_type":"time_without_timezone"},"fast_delivery":{"type":"boolean"},"freight_value":{"type":"number"},"internal_notes":{"type":"string"},"payment_method":{"type":"number"},"quote_estimate":{"type":"number"},"automatic_quote":{"type":"boolean"},"expected_period":{"type":"number"},"financing_value":{"type":"number"},"parent_order_id":{"type":"number"},"user_preference":{"type":"number"},"quote_expires_at":{"type":"string","format":"date-time","airbyte_type":"timestamp_without_timezone"},"buyer_location_id":{"type":"number"},"client_order_form":{"type":"string"},"flexible_delivery":{"type":"boolean"},"shopping_list_url":{"type":"string"},"cancelation_reason":{"type":"number"},"client_internal_id":{"type":"string"},"more_payment_terms":{"type":"boolean"},"cancelation_comment":{"type":"string"},"first_quote_sent_at":{"type":"string","format":"date-time","airbyte_type":"timestamp_without_timezone"},"shareable_link_hash":{"type":"string"},"internal_delivery_notes":{"type":"string"},"expected_billing_due_date":{"type":"string","format":"date"},"last_rdo_scheduling_message_sent_at":{"type":"string","format":"date-time","airbyte_type":"timestamp_without_timezone"}}},supportedSyncModes=[full_refresh, incremental],sourceDefinedCursor=<null>,defaultCursorField=[],sourceDefinedPrimaryKey=[[id]],namespace=<null>,additionalProperties={}],syncMode=full_refresh,cursorField=[],destinationSyncMode=overwrite,primaryKey=[[id]],additionalProperties={}]],additionalProperties={}]]
2022-06-13 13:14:14 INFO i.a.c.p.ConfigRepository(updateConnectionState):545 - Updating connection 2c2c282e-c3bf-443d-8380-b21d14d70666 state: io.airbyte.config.State@726c0c29[state={}]
2022-06-13 13:14:14 INFO i.a.w.t.TemporalAttemptExecution(get):118 - Docker volume job log path: /tmp/workspace/3837/0/logs.log
2022-06-13 13:14:14 INFO i.a.w.t.TemporalAttemptExecution(get):123 - Executing worker wrapper. Airbyte version: version not set
2022-06-13 13:14:14 WARN i.a.d.Databases(createPostgresDatabaseWithRetryTimeout):65 - Waiting for database to become available...
2022-06-13 13:14:14 INFO i.a.d.i.j.JobsDatabaseInstance(lambda$static$2):25 - Testing if jobs database is ready...
2022-06-13 13:14:14 INFO i.a.d.Databases(createPostgresDatabaseWithRetryTimeout):90 - Database available!
2022-06-13 13:14:14 INFO i.a.d.Databases(createPostgresDatabaseWithRetry):48 - Database available!
2022-06-13 13:14:14 INFO i.a.w.DefaultNormalizationWorker(run):46 - Running normalization.
2022-06-13 13:14:14 INFO i.a.w.n.DefaultNormalizationRunner(runProcess):122 - Running with normalization version: airbyte/normalization:0.1.63
2022-06-13 13:14:14 INFO i.a.c.i.LineGobbler(voidCall):82 - Checking if airbyte/normalization:0.1.63 exists...
2022-06-13 13:14:14 INFO i.a.c.i.LineGobbler(voidCall):82 - airbyte/normalization:0.1.63 was found locally.
2022-06-13 13:14:14 INFO i.a.w.p.DockerProcessFactory(create):171 - Preparing command: docker run --rm --init -i -v airbyte_workspace:/data -v /tmp/airbyte_local:/local -w /data/3837/0/normalize --network host --log-driver none airbyte/normalization:0.1.63 run --integration-type bigquery --config destination_config.json --catalog destination_catalog.json
2022-06-13 13:14:15 normalization > Running: transform-config --config destination_config.json --integration-type bigquery --out /data/3837/0/normalize
2022-06-13 13:14:15 normalization > Namespace(config='destination_config.json', integration_type=<DestinationType.bigquery: 'bigquery'>, out='/data/3837/0/normalize')
2022-06-13 13:14:15 normalization > transform_bigquery
2022-06-13 13:14:15 normalization > Running: transform-catalog --integration-type bigquery --profile-config-dir /data/3837/0/normalize --catalog destination_catalog.json --out /data/3837/0/normalize/models/generated/ --json-column _airbyte_data
2022-06-13 13:14:15 normalization > Processing destination_catalog.json...
2022-06-13 13:14:15 normalization >   Generating airbyte_ctes/raw/orders_ab1.sql from orders
2022-06-13 13:14:15 normalization >   Generating airbyte_ctes/raw/orders_ab2.sql from orders
2022-06-13 13:14:15 normalization >   Generating airbyte_ctes/raw/orders_ab3.sql from orders
2022-06-13 13:14:15 normalization >   Generating airbyte_tables/raw/orders.sql from orders
2022-06-13 13:14:15 normalization > detected no config file for ssh, assuming ssh is off.
2022-06-13 13:14:18 normalization > Running with dbt=0.21.1
2022-06-13 13:14:18 normalization > Unable to do partial parsing because ../build/partial_parse.msgpack not found
2022-06-13 13:14:20 normalization > [WARNING]: Configuration paths exist in your dbt_project.yml file which do not apply to any resources.
2022-06-13 13:14:20 normalization > There are 2 unused configuration paths:
2022-06-13 13:14:20 normalization > - models.airbyte_utils.generated.airbyte_incremental
2022-06-13 13:14:20 normalization > - models.airbyte_utils.generated.airbyte_views
2022-06-13 13:14:20 normalization > 
2022-06-13 13:14:20 normalization > Found 4 models, 0 tests, 0 snapshots, 0 analyses, 516 macros, 0 operations, 0 seed files, 1 source, 0 exposures
2022-06-13 13:14:20 normalization > 
2022-06-13 13:14:20 normalization > 13:14:20 | Concurrency: 32 threads (target='prod')
2022-06-13 13:14:20 normalization > 13:14:20 | 
2022-06-13 13:14:21 normalization > 13:14:21 | 1 of 1 START table model raw.orders.......................................................................... [RUN]
2022-06-13 13:14:24 normalization > 13:14:24 | 1 of 1 ERROR creating table model raw.orders................................................................. [ERROR in 3.00s]
2022-06-13 13:14:24 normalization > 13:14:24 | 
2022-06-13 13:14:24 normalization > 13:14:24 | Finished running 1 table model in 3.76s.
2022-06-13 13:14:24 normalization > 
2022-06-13 13:14:24 normalization > Completed with 1 error and 0 warnings:
2022-06-13 13:14:24 normalization > 
2022-06-13 13:14:24 normalization > Database Error in model orders (models/generated/airbyte_tables/raw/orders.sql)
2022-06-13 13:14:24 normalization >   Invalid timestamp: '2020-06-22T17:50'
2022-06-13 13:14:24 normalization >   compiled SQL at ../build/run/airbyte_utils/models/generated/airbyte_tables/raw/orders.sql
2022-06-13 13:14:24 normalization > 
2022-06-13 13:14:24 normalization > Done. PASS=0 WARN=0 ERROR=1 SKIP=0 TOTAL=1
2022-06-13 13:14:24 normalization > 
2022-06-13 13:14:24 normalization > Diagnosing dbt debug to check if destination is available for dbt and well configured (1):
2022-06-13 13:14:24 normalization > 
2022-06-13 13:14:26 normalization > Running with dbt=0.21.1
2022-06-13 13:14:26 normalization > dbt version: 0.21.1
2022-06-13 13:14:26 normalization > python version: 3.8.12
2022-06-13 13:14:26 normalization > python path: /usr/local/bin/python
2022-06-13 13:14:26 normalization > os info: Linux-5.10.82-83.359.amzn2.x86_64-x86_64-with-glibc2.2.5
2022-06-13 13:14:26 normalization > Using profiles.yml file at /data/3837/0/normalize/profiles.yml
2022-06-13 13:14:26 normalization > Using dbt_project.yml file at /data/3837/0/normalize/dbt_project.yml
2022-06-13 13:14:26 normalization > 
2022-06-13 13:14:27 normalization > Configuration:
2022-06-13 13:14:27 normalization >   profiles.yml file [OK found and valid]
2022-06-13 13:14:27 normalization >   dbt_project.yml file [OK found and valid]
2022-06-13 13:14:27 normalization > 
2022-06-13 13:14:27 normalization > Required dependencies:
2022-06-13 13:14:27 normalization >  - git [OK found]
2022-06-13 13:14:27 normalization > 
2022-06-13 13:14:27 normalization > Connection:
2022-06-13 13:14:27 normalization >   method: service-account-json
2022-06-13 13:14:27 normalization >   database: dwcasa
2022-06-13 13:14:27 normalization >   schema: raw
2022-06-13 13:14:27 normalization >   location: US
2022-06-13 13:14:27 normalization >   priority: batch
2022-06-13 13:14:27 normalization >   timeout_seconds: 300
2022-06-13 13:14:27 normalization >   maximum_bytes_billed: None
2022-06-13 13:14:27 normalization >   Connection test: [OK connection ok]
2022-06-13 13:14:27 normalization > 
2022-06-13 13:14:27 normalization > All checks passed!
2022-06-13 13:14:27 normalization > 
2022-06-13 13:14:27 normalization > Forward dbt output logs to diagnose/debug errors (0):
2022-06-13 13:14:27 normalization > 
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:18.394023 (MainThread): Running with dbt=0.21.1
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:18.772738 (MainThread): running dbt with arguments Namespace(cls=<class 'dbt.task.run.RunTask'>, debug=False, defer=None, exclude=None, fail_fast=False, full_refresh=False, log_cache_events=False, log_format='default', partial_parse=None, profile=None, profiles_dir='/data/3837/0/normalize', project_dir='/data/3837/0/normalize', record_timing_info=None, rpc_method='run', select=None, selector_name=None, single_threaded=False, state=None, strict=False, target=None, test_new_parser=False, threads=None, use_cache=True, use_colors=None, use_experimental_parser=False, vars='{}', version_check=True, warn_error=False, which='run', write_json=True)
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:18.774070 (MainThread): Tracking: do not track
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:18.806294 (MainThread): Unable to do partial parsing because ../build/partial_parse.msgpack not found
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:18.832394 (MainThread): Parsing macros/get_custom_schema.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:18.833622 (MainThread): Parsing macros/incremental.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:18.842130 (MainThread): Parsing macros/should_full_refresh.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:18.848750 (MainThread): Parsing macros/star_intersect.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:18.856267 (MainThread): Parsing macros/cross_db_utils/array.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:18.873680 (MainThread): Parsing macros/cross_db_utils/concat.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:18.876544 (MainThread): Parsing macros/cross_db_utils/current_timestamp.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:18.877412 (MainThread): Parsing macros/cross_db_utils/datatypes.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:18.891156 (MainThread): Parsing macros/cross_db_utils/except.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:18.892293 (MainThread): Parsing macros/cross_db_utils/hash.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:18.893070 (MainThread): Parsing macros/cross_db_utils/json_operations.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:18.936239 (MainThread): Parsing macros/cross_db_utils/quote.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:18.938530 (MainThread): Parsing macros/cross_db_utils/surrogate_key.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:18.941110 (MainThread): Parsing macros/cross_db_utils/type_conversions.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:18.948827 (MainThread): Parsing macros/schema_tests/equal_rowcount.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:18.950355 (MainThread): Parsing macros/schema_tests/equality.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:18.958618 (MainThread): Parsing macros/adapters.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:18.988562 (MainThread): Parsing macros/catalog.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:18.995730 (MainThread): Parsing macros/etc.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:18.998712 (MainThread): Parsing macros/materializations/copy.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:19.002404 (MainThread): Parsing macros/materializations/incremental.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:19.022003 (MainThread): Parsing macros/materializations/seed.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:19.025557 (MainThread): Parsing macros/materializations/snapshot.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:19.027842 (MainThread): Parsing macros/materializations/table.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:19.040454 (MainThread): Parsing macros/materializations/view.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:19.043971 (MainThread): Parsing macros/core.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:19.048857 (MainThread): Parsing macros/adapters/common.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:19.119129 (MainThread): Parsing macros/etc/datetime.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:19.130537 (MainThread): Parsing macros/etc/get_custom_alias.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:19.132624 (MainThread): Parsing macros/etc/get_custom_database.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:19.134725 (MainThread): Parsing macros/etc/get_custom_schema.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:19.138018 (MainThread): Parsing macros/etc/is_incremental.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:19.140219 (MainThread): Parsing macros/etc/query.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:19.141508 (MainThread): Parsing macros/etc/where_subquery.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:19.143944 (MainThread): Parsing macros/materializations/helpers.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:19.157092 (MainThread): Parsing macros/materializations/test.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:19.165949 (MainThread): Parsing macros/materializations/common/merge.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:19.184110 (MainThread): Parsing macros/materializations/incremental/helpers.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:19.186496 (MainThread): Parsing macros/materializations/incremental/incremental.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:19.200344 (MainThread): Parsing macros/materializations/incremental/on_schema_change.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:19.226287 (MainThread): Parsing macros/materializations/seed/seed.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:19.256012 (MainThread): Parsing macros/materializations/snapshot/snapshot.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:19.295079 (MainThread): Parsing macros/materializations/snapshot/snapshot_merge.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:19.297447 (MainThread): Parsing macros/materializations/snapshot/strategies.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:19.320134 (MainThread): Parsing macros/materializations/table/table.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:19.329579 (MainThread): Parsing macros/materializations/view/create_or_replace_view.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:19.334754 (MainThread): Parsing macros/materializations/view/view.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:19.343817 (MainThread): Parsing macros/schema_tests/accepted_values.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:19.346808 (MainThread): Parsing macros/schema_tests/not_null.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:19.348417 (MainThread): Parsing macros/schema_tests/relationships.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:19.350577 (MainThread): Parsing macros/schema_tests/unique.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:19.352396 (MainThread): Parsing macros/cross_db_utils/_is_ephemeral.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:19.354918 (MainThread): Parsing macros/cross_db_utils/_is_relation.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:19.356427 (MainThread): Parsing macros/cross_db_utils/cast_bool_to_text.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:19.358367 (MainThread): Parsing macros/cross_db_utils/concat.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:19.359714 (MainThread): Parsing macros/cross_db_utils/current_timestamp.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:19.364560 (MainThread): Parsing macros/cross_db_utils/datatypes.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:19.372872 (MainThread): Parsing macros/cross_db_utils/date_trunc.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:19.374905 (MainThread): Parsing macros/cross_db_utils/dateadd.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:19.378729 (MainThread): Parsing macros/cross_db_utils/datediff.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:19.391875 (MainThread): Parsing macros/cross_db_utils/except.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:19.393351 (MainThread): Parsing macros/cross_db_utils/hash.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:19.395237 (MainThread): Parsing macros/cross_db_utils/identifier.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:19.397483 (MainThread): Parsing macros/cross_db_utils/intersect.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:19.399240 (MainThread): Parsing macros/cross_db_utils/last_day.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:19.403994 (MainThread): Parsing macros/cross_db_utils/length.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:19.405954 (MainThread): Parsing macros/cross_db_utils/literal.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:19.407235 (MainThread): Parsing macros/cross_db_utils/position.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:19.409557 (MainThread): Parsing macros/cross_db_utils/replace.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:19.411231 (MainThread): Parsing macros/cross_db_utils/right.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:19.414349 (MainThread): Parsing macros/cross_db_utils/safe_cast.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:19.416920 (MainThread): Parsing macros/cross_db_utils/split_part.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:19.419377 (MainThread): Parsing macros/cross_db_utils/width_bucket.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:19.426127 (MainThread): Parsing macros/jinja_helpers/log_info.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:19.427661 (MainThread): Parsing macros/jinja_helpers/pretty_log_format.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:19.429151 (MainThread): Parsing macros/jinja_helpers/pretty_time.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:19.431003 (MainThread): Parsing macros/jinja_helpers/slugify.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:19.432605 (MainThread): Parsing macros/materializations/insert_by_period_materialization.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:19.464328 (MainThread): Parsing macros/schema_tests/accepted_range.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:19.467704 (MainThread): Parsing macros/schema_tests/at_least_one.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:19.469404 (MainThread): Parsing macros/schema_tests/cardinality_equality.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:19.472906 (MainThread): Parsing macros/schema_tests/equal_rowcount.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:19.475191 (MainThread): Parsing macros/schema_tests/equality.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:19.480119 (MainThread): Parsing macros/schema_tests/expression_is_true.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:19.482552 (MainThread): Parsing macros/schema_tests/fewer_rows_than.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:19.484740 (MainThread): Parsing macros/schema_tests/mutually_exclusive_ranges.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:19.495942 (MainThread): Parsing macros/schema_tests/not_accepted_values.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:19.498735 (MainThread): Parsing macros/schema_tests/not_constant.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:19.500419 (MainThread): Parsing macros/schema_tests/not_null_proportion.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:19.503331 (MainThread): Parsing macros/schema_tests/recency.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:19.505692 (MainThread): Parsing macros/schema_tests/relationships_where.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:19.508619 (MainThread): Parsing macros/schema_tests/sequential_values.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:19.512140 (MainThread): Parsing macros/schema_tests/test_not_null_where.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:19.514068 (MainThread): Parsing macros/schema_tests/test_unique_where.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:19.516650 (MainThread): Parsing macros/schema_tests/unique_combination_of_columns.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:19.520467 (MainThread): Parsing macros/sql/date_spine.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:19.526763 (MainThread): Parsing macros/sql/generate_series.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:19.532548 (MainThread): Parsing macros/sql/get_column_values.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:19.538636 (MainThread): Parsing macros/sql/get_query_results_as_dict.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:19.541755 (MainThread): Parsing macros/sql/get_relations_by_pattern.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:19.546258 (MainThread): Parsing macros/sql/get_relations_by_prefix.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:19.550737 (MainThread): Parsing macros/sql/get_tables_by_pattern_sql.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:19.558987 (MainThread): Parsing macros/sql/get_tables_by_prefix_sql.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:19.561257 (MainThread): Parsing macros/sql/groupby.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:19.563030 (MainThread): Parsing macros/sql/haversine_distance.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:19.570765 (MainThread): Parsing macros/sql/nullcheck.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:19.572999 (MainThread): Parsing macros/sql/nullcheck_table.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:19.575162 (MainThread): Parsing macros/sql/pivot.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:19.580572 (MainThread): Parsing macros/sql/safe_add.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:19.582753 (MainThread): Parsing macros/sql/star.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:19.587720 (MainThread): Parsing macros/sql/surrogate_key.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:19.592322 (MainThread): Parsing macros/sql/union.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:19.603137 (MainThread): Parsing macros/sql/unpivot.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:19.613553 (MainThread): Parsing macros/web/get_url_host.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:19.616091 (MainThread): Parsing macros/web/get_url_parameter.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:19.618205 (MainThread): Parsing macros/web/get_url_path.sql
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:20.181634 (MainThread): Acquiring new bigquery connection "model.airbyte_utils.orders_ab1".
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:20.255394 (MainThread): 'soft_unicode' has been renamed to 'soft_str'. The old name will be removed in MarkupSafe 2.1.
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:20.260884 (MainThread): Acquiring new bigquery connection "model.airbyte_utils.orders_ab2".
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:20.309900 (MainThread): 'soft_unicode' has been renamed to 'soft_str'. The old name will be removed in MarkupSafe 2.1.
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:20.311716 (MainThread): Acquiring new bigquery connection "model.airbyte_utils.orders_ab3".
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:20.354679 (MainThread): 'soft_unicode' has been renamed to 'soft_str'. The old name will be removed in MarkupSafe 2.1.
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:20.356571 (MainThread): Acquiring new bigquery connection "model.airbyte_utils.orders".
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:20.364068 (MainThread): 'soft_unicode' has been renamed to 'soft_str'. The old name will be removed in MarkupSafe 2.1.
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:20.494201 (MainThread): [WARNING]: Configuration paths exist in your dbt_project.yml file which do not apply to any resources.
2022-06-13 13:14:27 normalization > There are 2 unused configuration paths:
2022-06-13 13:14:27 normalization > - models.airbyte_utils.generated.airbyte_incremental
2022-06-13 13:14:27 normalization > - models.airbyte_utils.generated.airbyte_views
2022-06-13 13:14:27 normalization > 
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:20.513379 (MainThread): write_gpickle is deprecated and will be removed in 3.0.Use ``pickle.dump(G, path, protocol)``
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:20.513868 (MainThread): Found 4 models, 0 tests, 0 snapshots, 0 analyses, 516 macros, 0 operations, 0 seed files, 1 source, 0 exposures
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:20.515266 (MainThread): 
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:20.515748 (MainThread): Acquiring new bigquery connection "master".
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:20.516763 (ThreadPoolExecutor-0_0): Acquiring new bigquery connection "list_dwcasa".
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:20.517011 (ThreadPoolExecutor-0_0): Opening a new connection, currently in state init
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:20.741623 (ThreadPoolExecutor-1_0): Acquiring new bigquery connection "list_dwcasa_raw".
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:20.741964 (ThreadPoolExecutor-1_0): Opening a new connection, currently in state closed
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:20.747238 (ThreadPoolExecutor-1_0): Client.dataset is deprecated and will be removed in a future version. Use a string like 'my_project.my_dataset' or a cloud.google.bigquery.DatasetReference object, instead.
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:20.928983 (ThreadPoolExecutor-1_0): unclosed <ssl.SSLSocket fd=5, family=AddressFamily.AF_INET, type=SocketKind.SOCK_STREAM, proto=6, laddr=('172.31.23.24', 53778), raddr=('172.217.15.106', 443)>
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:20.929297 (ThreadPoolExecutor-1_0): unclosed <ssl.SSLSocket fd=6, family=AddressFamily.AF_INET, type=SocketKind.SOCK_STREAM, proto=6, laddr=('172.31.23.24', 46300), raddr=('142.250.188.202', 443)>
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:20.950777 (MainThread): 13:14:20 | Concurrency: 32 threads (target='prod')
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:20.951065 (MainThread): 13:14:20 | 
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:20.964612 (Thread-1): Began running node model.airbyte_utils.orders_ab1
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:20.965187 (Thread-1): Acquiring new bigquery connection "model.airbyte_utils.orders_ab1".
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:20.965373 (Thread-1): Compiling model.airbyte_utils.orders_ab1
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:21.021964 (Thread-1): Writing injected SQL for node "model.airbyte_utils.orders_ab1"
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:21.022603 (Thread-1): finished collecting timing info
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:21.023080 (Thread-1): Finished running node model.airbyte_utils.orders_ab1
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:21.024061 (Thread-3): Began running node model.airbyte_utils.orders_ab2
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:21.024502 (Thread-3): Acquiring new bigquery connection "model.airbyte_utils.orders_ab2".
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:21.024673 (Thread-3): Compiling model.airbyte_utils.orders_ab2
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:21.135819 (Thread-3): Writing injected SQL for node "model.airbyte_utils.orders_ab2"
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:21.136282 (Thread-3): finished collecting timing info
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:21.136798 (Thread-3): Finished running node model.airbyte_utils.orders_ab2
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:21.137780 (Thread-5): Began running node model.airbyte_utils.orders_ab3
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:21.138424 (Thread-5): Acquiring new bigquery connection "model.airbyte_utils.orders_ab3".
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:21.138642 (Thread-5): Compiling model.airbyte_utils.orders_ab3
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:21.267710 (Thread-5): Writing injected SQL for node "model.airbyte_utils.orders_ab3"
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:21.268192 (Thread-5): finished collecting timing info
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:21.268691 (Thread-5): Finished running node model.airbyte_utils.orders_ab3
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:21.269564 (Thread-7): Began running node model.airbyte_utils.orders
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:21.269912 (Thread-7): 13:14:21 | 1 of 1 START table model raw.orders.......................................................................... [RUN]
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:21.270312 (Thread-7): Acquiring new bigquery connection "model.airbyte_utils.orders".
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:21.270478 (Thread-7): Compiling model.airbyte_utils.orders
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:21.295000 (Thread-7): Writing injected SQL for node "model.airbyte_utils.orders"
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:21.295549 (Thread-7): finished collecting timing info
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:21.342577 (Thread-7): 'soft_unicode' has been renamed to 'soft_str'. The old name will be removed in MarkupSafe 2.1.
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:21.351112 (Thread-7): Writing runtime SQL for node "model.airbyte_utils.orders"
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:21.351807 (Thread-7): Opening a new connection, currently in state init
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:21.357086 (Thread-7): On model.airbyte_utils.orders: /* {"app": "dbt", "dbt_version": "0.21.1", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.orders"} */
2022-06-13 13:14:27 normalization > 
2022-06-13 13:14:27 normalization > 
2022-06-13 13:14:27 normalization >   create or replace table `dwcasa`.raw.`orders`
2022-06-13 13:14:27 normalization >   partition by timestamp_trunc(_airbyte_emitted_at, day)
2022-06-13 13:14:27 normalization >   cluster by _airbyte_emitted_at
2022-06-13 13:14:27 normalization >   OPTIONS()
2022-06-13 13:14:27 normalization >   as (
2022-06-13 13:14:27 normalization >     
2022-06-13 13:14:27 normalization > with __dbt__cte__orders_ab1 as (
2022-06-13 13:14:27 normalization > 
2022-06-13 13:14:27 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema
2022-06-13 13:14:27 normalization > -- depends_on: `dwcasa`.raw._airbyte_raw_orders
2022-06-13 13:14:27 normalization > select
2022-06-13 13:14:27 normalization >     json_extract_scalar(_airbyte_data, "$['id']") as id,
2022-06-13 13:14:27 normalization >     json_extract_scalar(_airbyte_data, "$['type']") as type,
2022-06-13 13:14:27 normalization >     json_extract_scalar(_airbyte_data, "$['quote']") as quote,
2022-06-13 13:14:27 normalization >     json_extract_scalar(_airbyte_data, "$['value']") as value,
2022-06-13 13:14:27 normalization >     json_extract_scalar(_airbyte_data, "$['events']") as events,
2022-06-13 13:14:27 normalization >     json_extract_scalar(_airbyte_data, "$['origin']") as origin,
2022-06-13 13:14:27 normalization >     json_extract_scalar(_airbyte_data, "$['status']") as status,
2022-06-13 13:14:27 normalization >     json_extract_scalar(_airbyte_data, "$['comment']") as comment,
2022-06-13 13:14:27 normalization >     json_extract_scalar(_airbyte_data, "$['buyer_id']") as buyer_id,
2022-06-13 13:14:27 normalization >     json_extract_scalar(_airbyte_data, "$['discount']") as discount,
2022-06-13 13:14:27 normalization >     json_extract_scalar(_airbyte_data, "$['identify']") as identify,
2022-06-13 13:14:27 normalization >     json_extract_scalar(_airbyte_data, "$['payer_id']") as payer_id,
2022-06-13 13:14:27 normalization >     json_extract_scalar(_airbyte_data, "$['po_value']") as po_value,
2022-06-13 13:14:27 normalization >     json_extract_scalar(_airbyte_data, "$['pipefy_id']") as pipefy_id,
2022-06-13 13:14:27 normalization >     json_extract_scalar(_airbyte_data, "$['conta_azul']") as conta_azul,
2022-06-13 13:14:27 normalization >     json_extract_scalar(_airbyte_data, "$['created_at']") as created_at,
2022-06-13 13:14:27 normalization >     json_extract_scalar(_airbyte_data, "$['last_quote']") as last_quote,
2022-06-13 13:14:27 normalization >     json_extract_scalar(_airbyte_data, "$['order_form']") as order_form,
2022-06-13 13:14:27 normalization >     json_extract_scalar(_airbyte_data, "$['updated_at']") as updated_at,
2022-06-13 13:14:27 normalization >     json_extract_scalar(_airbyte_data, "$['approved_at']") as approved_at,
2022-06-13 13:14:27 normalization >     json_extract_scalar(_airbyte_data, "$['canceled_at']") as canceled_at,
2022-06-13 13:14:27 normalization >     json_extract_scalar(_airbyte_data, "$['final_value']") as final_value,
2022-06-13 13:14:27 normalization >     json_extract_scalar(_airbyte_data, "$['po_file_url']") as po_file_url,
2022-06-13 13:14:27 normalization >     json_extract_scalar(_airbyte_data, "$['client_notes']") as client_notes,
2022-06-13 13:14:27 normalization >     json_extract_scalar(_airbyte_data, "$['freight_code']") as freight_code,
2022-06-13 13:14:27 normalization >     json_extract_scalar(_airbyte_data, "$['freight_link']") as freight_link,
2022-06-13 13:14:27 normalization >     json_extract_scalar(_airbyte_data, "$['money_saving']") as money_saving,
2022-06-13 13:14:27 normalization >     json_extract_scalar(_airbyte_data, "$['oico_invoice']") as oico_invoice,
2022-06-13 13:14:27 normalization >     json_extract_scalar(_airbyte_data, "$['buyer_user_id']") as buyer_user_id,
2022-06-13 13:14:27 normalization >     json_extract_scalar(_airbyte_data, "$['expected_date']") as expected_date,
2022-06-13 13:14:27 normalization >     json_extract_scalar(_airbyte_data, "$['expected_time']") as expected_time,
2022-06-13 13:14:27 normalization >     json_extract_scalar(_airbyte_data, "$['fast_delivery']") as fast_delivery,
2022-06-13 13:14:27 normalization >     json_extract_scalar(_airbyte_data, "$['freight_value']") as freight_value,
2022-06-13 13:14:27 normalization >     json_extract_scalar(_airbyte_data, "$['internal_notes']") as internal_notes,
2022-06-13 13:14:27 normalization >     json_extract_scalar(_airbyte_data, "$['payment_method']") as payment_method,
2022-06-13 13:14:27 normalization >     json_extract_scalar(_airbyte_data, "$['quote_estimate']") as quote_estimate,
2022-06-13 13:14:27 normalization >     json_extract_scalar(_airbyte_data, "$['automatic_quote']") as automatic_quote,
2022-06-13 13:14:27 normalization >     json_extract_scalar(_airbyte_data, "$['expected_period']") as expected_period,
2022-06-13 13:14:27 normalization >     json_extract_scalar(_airbyte_data, "$['financing_value']") as financing_value,
2022-06-13 13:14:27 normalization >     json_extract_scalar(_airbyte_data, "$['parent_order_id']") as parent_order_id,
2022-06-13 13:14:27 normalization >     json_extract_scalar(_airbyte_data, "$['user_preference']") as user_preference,
2022-06-13 13:14:27 normalization >     json_extract_scalar(_airbyte_data, "$['quote_expires_at']") as quote_expires_at,
2022-06-13 13:14:27 normalization >     json_extract_scalar(_airbyte_data, "$['buyer_location_id']") as buyer_location_id,
2022-06-13 13:14:27 normalization >     json_extract_scalar(_airbyte_data, "$['client_order_form']") as client_order_form,
2022-06-13 13:14:27 normalization >     json_extract_scalar(_airbyte_data, "$['flexible_delivery']") as flexible_delivery,
2022-06-13 13:14:27 normalization >     json_extract_scalar(_airbyte_data, "$['shopping_list_url']") as shopping_list_url,
2022-06-13 13:14:27 normalization >     json_extract_scalar(_airbyte_data, "$['cancelation_reason']") as cancelation_reason,
2022-06-13 13:14:27 normalization >     json_extract_scalar(_airbyte_data, "$['client_internal_id']") as client_internal_id,
2022-06-13 13:14:27 normalization >     json_extract_scalar(_airbyte_data, "$['more_payment_terms']") as more_payment_terms,
2022-06-13 13:14:27 normalization >     json_extract_scalar(_airbyte_data, "$['cancelation_comment']") as cancelation_comment,
2022-06-13 13:14:27 normalization >     json_extract_scalar(_airbyte_data, "$['first_quote_sent_at']") as first_quote_sent_at,
2022-06-13 13:14:27 normalization >     json_extract_scalar(_airbyte_data, "$['shareable_link_hash']") as shareable_link_hash,
2022-06-13 13:14:27 normalization >     json_extract_scalar(_airbyte_data, "$['internal_delivery_notes']") as internal_delivery_notes,
2022-06-13 13:14:27 normalization >     json_extract_scalar(_airbyte_data, "$['expected_billing_due_date']") as expected_billing_due_date,
2022-06-13 13:14:27 normalization >     json_extract_scalar(_airbyte_data, "$['last_rdo_scheduling_message_sent_at']") as last_rdo_scheduling_message_sent_at,
2022-06-13 13:14:27 normalization >     _airbyte_ab_id,
2022-06-13 13:14:27 normalization >     _airbyte_emitted_at,
2022-06-13 13:14:27 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at
2022-06-13 13:14:27 normalization > from `dwcasa`.raw._airbyte_raw_orders as table_alias
2022-06-13 13:14:27 normalization > -- orders
2022-06-13 13:14:27 normalization > where 1 = 1
2022-06-13 13:14:27 normalization > ),  __dbt__cte__orders_ab2 as (
2022-06-13 13:14:27 normalization > 
2022-06-13 13:14:27 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type
2022-06-13 13:14:27 normalization > -- depends_on: __dbt__cte__orders_ab1
2022-06-13 13:14:27 normalization > select
2022-06-13 13:14:27 normalization >     cast(id as 
2022-06-13 13:14:27 normalization >     float64
2022-06-13 13:14:27 normalization > ) as id,
2022-06-13 13:14:27 normalization >     cast(type as 
2022-06-13 13:14:27 normalization >     float64
2022-06-13 13:14:27 normalization > ) as type,
2022-06-13 13:14:27 normalization >     cast(quote as boolean) as quote,
2022-06-13 13:14:27 normalization >     cast(value as 
2022-06-13 13:14:27 normalization >     float64
2022-06-13 13:14:27 normalization > ) as value,
2022-06-13 13:14:27 normalization >     cast(events as 
2022-06-13 13:14:27 normalization >     string
2022-06-13 13:14:27 normalization > ) as events,
2022-06-13 13:14:27 normalization >     cast(origin as 
2022-06-13 13:14:27 normalization >     float64
2022-06-13 13:14:27 normalization > ) as origin,
2022-06-13 13:14:27 normalization >     cast(status as 
2022-06-13 13:14:27 normalization >     float64
2022-06-13 13:14:27 normalization > ) as status,
2022-06-13 13:14:27 normalization >     cast(comment as 
2022-06-13 13:14:27 normalization >     string
2022-06-13 13:14:27 normalization > ) as comment,
2022-06-13 13:14:27 normalization >     cast(buyer_id as 
2022-06-13 13:14:27 normalization >     float64
2022-06-13 13:14:27 normalization > ) as buyer_id,
2022-06-13 13:14:27 normalization >     cast(discount as 
2022-06-13 13:14:27 normalization >     float64
2022-06-13 13:14:27 normalization > ) as discount,
2022-06-13 13:14:27 normalization >     cast(identify as 
2022-06-13 13:14:27 normalization >     string
2022-06-13 13:14:27 normalization > ) as identify,
2022-06-13 13:14:27 normalization >     cast(payer_id as 
2022-06-13 13:14:27 normalization >     float64
2022-06-13 13:14:27 normalization > ) as payer_id,
2022-06-13 13:14:27 normalization >     cast(po_value as 
2022-06-13 13:14:27 normalization >     float64
2022-06-13 13:14:27 normalization > ) as po_value,
2022-06-13 13:14:27 normalization >     cast(pipefy_id as 
2022-06-13 13:14:27 normalization >     float64
2022-06-13 13:14:27 normalization > ) as pipefy_id,
2022-06-13 13:14:27 normalization >     cast(conta_azul as 
2022-06-13 13:14:27 normalization >     string
2022-06-13 13:14:27 normalization > ) as conta_azul,
2022-06-13 13:14:27 normalization >     cast(nullif(created_at, '') as 
2022-06-13 13:14:27 normalization >     timestamp
2022-06-13 13:14:27 normalization > ) as created_at,
2022-06-13 13:14:27 normalization >     cast(last_quote as 
2022-06-13 13:14:27 normalization >     string
2022-06-13 13:14:27 normalization > ) as last_quote,
2022-06-13 13:14:27 normalization >     cast(order_form as 
2022-06-13 13:14:27 normalization >     string
2022-06-13 13:14:27 normalization > ) as order_form,
2022-06-13 13:14:27 normalization >     cast(nullif(updated_at, '') as 
2022-06-13 13:14:27 normalization >     timestamp
2022-06-13 13:14:27 normalization > ) as updated_at,
2022-06-13 13:14:27 normalization >     cast(nullif(approved_at, '') as 
2022-06-13 13:14:27 normalization >     timestamp
2022-06-13 13:14:27 normalization > ) as approved_at,
2022-06-13 13:14:27 normalization >     cast(nullif(canceled_at, '') as 
2022-06-13 13:14:27 normalization >     timestamp
2022-06-13 13:14:27 normalization > ) as canceled_at,
2022-06-13 13:14:27 normalization >     cast(final_value as 
2022-06-13 13:14:27 normalization >     float64
2022-06-13 13:14:27 normalization > ) as final_value,
2022-06-13 13:14:27 normalization >     cast(po_file_url as 
2022-06-13 13:14:27 normalization >     string
2022-06-13 13:14:27 normalization > ) as po_file_url,
2022-06-13 13:14:27 normalization >     cast(client_notes as 
2022-06-13 13:14:27 normalization >     string
2022-06-13 13:14:27 normalization > ) as client_notes,
2022-06-13 13:14:27 normalization >     cast(freight_code as 
2022-06-13 13:14:27 normalization >     string
2022-06-13 13:14:27 normalization > ) as freight_code,
2022-06-13 13:14:27 normalization >     cast(freight_link as 
2022-06-13 13:14:27 normalization >     string
2022-06-13 13:14:27 normalization > ) as freight_link,
2022-06-13 13:14:27 normalization >     cast(money_saving as 
2022-06-13 13:14:27 normalization >     float64
2022-06-13 13:14:27 normalization > ) as money_saving,
2022-06-13 13:14:27 normalization >     cast(oico_invoice as boolean) as oico_invoice,
2022-06-13 13:14:27 normalization >     cast(buyer_user_id as 
2022-06-13 13:14:27 normalization >     float64
2022-06-13 13:14:27 normalization > ) as buyer_user_id,
2022-06-13 13:14:27 normalization >     cast(nullif(expected_date, '') as 
2022-06-13 13:14:27 normalization >     date
2022-06-13 13:14:27 normalization > ) as expected_date,
2022-06-13 13:14:27 normalization >     cast(expected_time as 
2022-06-13 13:14:27 normalization >     string
2022-06-13 13:14:27 normalization > ) as expected_time,
2022-06-13 13:14:27 normalization >     cast(fast_delivery as boolean) as fast_delivery,
2022-06-13 13:14:27 normalization >     cast(freight_value as 
2022-06-13 13:14:27 normalization >     float64
2022-06-13 13:14:27 normalization > ) as freight_value,
2022-06-13 13:14:27 normalization >     cast(internal_notes as 
2022-06-13 13:14:27 normalization >     string
2022-06-13 13:14:27 normalization > ) as internal_notes,
2022-06-13 13:14:27 normalization >     cast(payment_method as 
2022-06-13 13:14:27 normalization >     float64
2022-06-13 13:14:27 normalization > ) as payment_method,
2022-06-13 13:14:27 normalization >     cast(quote_estimate as 
2022-06-13 13:14:27 normalization >     float64
2022-06-13 13:14:27 normalization > ) as quote_estimate,
2022-06-13 13:14:27 normalization >     cast(automatic_quote as boolean) as automatic_quote,
2022-06-13 13:14:27 normalization >     cast(expected_period as 
2022-06-13 13:14:27 normalization >     float64
2022-06-13 13:14:27 normalization > ) as expected_period,
2022-06-13 13:14:27 normalization >     cast(financing_value as 
2022-06-13 13:14:27 normalization >     float64
2022-06-13 13:14:27 normalization > ) as financing_value,
2022-06-13 13:14:27 normalization >     cast(parent_order_id as 
2022-06-13 13:14:27 normalization >     float64
2022-06-13 13:14:27 normalization > ) as parent_order_id,
2022-06-13 13:14:27 normalization >     cast(user_preference as 
2022-06-13 13:14:27 normalization >     float64
2022-06-13 13:14:27 normalization > ) as user_preference,
2022-06-13 13:14:27 normalization >     cast(nullif(quote_expires_at, '') as 
2022-06-13 13:14:27 normalization >     timestamp
2022-06-13 13:14:27 normalization > ) as quote_expires_at,
2022-06-13 13:14:27 normalization >     cast(buyer_location_id as 
2022-06-13 13:14:27 normalization >     float64
2022-06-13 13:14:27 normalization > ) as buyer_location_id,
2022-06-13 13:14:27 normalization >     cast(client_order_form as 
2022-06-13 13:14:27 normalization >     string
2022-06-13 13:14:27 normalization > ) as client_order_form,
2022-06-13 13:14:27 normalization >     cast(flexible_delivery as boolean) as flexible_delivery,
2022-06-13 13:14:27 normalization >     cast(shopping_list_url as 
2022-06-13 13:14:27 normalization >     string
2022-06-13 13:14:27 normalization > ) as shopping_list_url,
2022-06-13 13:14:27 normalization >     cast(cancelation_reason as 
2022-06-13 13:14:27 normalization >     float64
2022-06-13 13:14:27 normalization > ) as cancelation_reason,
2022-06-13 13:14:27 normalization >     cast(client_internal_id as 
2022-06-13 13:14:27 normalization >     string
2022-06-13 13:14:27 normalization > ) as client_internal_id,
2022-06-13 13:14:27 normalization >     cast(more_payment_terms as boolean) as more_payment_terms,
2022-06-13 13:14:27 normalization >     cast(cancelation_comment as 
2022-06-13 13:14:27 normalization >     string
2022-06-13 13:14:27 normalization > ) as cancelation_comment,
2022-06-13 13:14:27 normalization >     cast(nullif(first_quote_sent_at, '') as 
2022-06-13 13:14:27 normalization >     timestamp
2022-06-13 13:14:27 normalization > ) as first_quote_sent_at,
2022-06-13 13:14:27 normalization >     cast(shareable_link_hash as 
2022-06-13 13:14:27 normalization >     string
2022-06-13 13:14:27 normalization > ) as shareable_link_hash,
2022-06-13 13:14:27 normalization >     cast(internal_delivery_notes as 
2022-06-13 13:14:27 normalization >     string
2022-06-13 13:14:27 normalization > ) as internal_delivery_notes,
2022-06-13 13:14:27 normalization >     cast(nullif(expected_billing_due_date, '') as 
2022-06-13 13:14:27 normalization >     date
2022-06-13 13:14:27 normalization > ) as expected_billing_due_date,
2022-06-13 13:14:27 normalization >     cast(nullif(last_rdo_scheduling_message_sent_at, '') as 
2022-06-13 13:14:27 normalization >     timestamp
2022-06-13 13:14:27 normalization > ) as last_rdo_scheduling_message_sent_at,
2022-06-13 13:14:27 normalization >     _airbyte_ab_id,
2022-06-13 13:14:27 normalization >     _airbyte_emitted_at,
2022-06-13 13:14:27 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at
2022-06-13 13:14:27 normalization > from __dbt__cte__orders_ab1
2022-06-13 13:14:27 normalization > -- orders
2022-06-13 13:14:27 normalization > where 1 = 1
2022-06-13 13:14:27 normalization > ),  __dbt__cte__orders_ab3 as (
2022-06-13 13:14:27 normalization > 
2022-06-13 13:14:27 normalization > -- SQL model to build a hash column based on the values of this record
2022-06-13 13:14:27 normalization > -- depends_on: __dbt__cte__orders_ab2
2022-06-13 13:14:27 normalization > select
2022-06-13 13:14:27 normalization >     to_hex(md5(cast(concat(coalesce(cast(id as 
2022-06-13 13:14:27 normalization >     string
2022-06-13 13:14:27 normalization > ), ''), '-', coalesce(cast(type as 
2022-06-13 13:14:27 normalization >     string
2022-06-13 13:14:27 normalization > ), ''), '-', coalesce(cast(quote as 
2022-06-13 13:14:27 normalization >     string
2022-06-13 13:14:27 normalization > ), ''), '-', coalesce(cast(value as 
2022-06-13 13:14:27 normalization >     string
2022-06-13 13:14:27 normalization > ), ''), '-', coalesce(cast(events as 
2022-06-13 13:14:27 normalization >     string
2022-06-13 13:14:27 normalization > ), ''), '-', coalesce(cast(origin as 
2022-06-13 13:14:27 normalization >     string
2022-06-13 13:14:27 normalization > ), ''), '-', coalesce(cast(status as 
2022-06-13 13:14:27 normalization >     string
2022-06-13 13:14:27 normalization > ), ''), '-', coalesce(cast(comment as 
2022-06-13 13:14:27 normalization >     string
2022-06-13 13:14:27 normalization > ), ''), '-', coalesce(cast(buyer_id as 
2022-06-13 13:14:27 normalization >     string
2022-06-13 13:14:27 normalization > ), ''), '-', coalesce(cast(discount as 
2022-06-13 13:14:27 normalization >     string
2022-06-13 13:14:27 normalization > ), ''), '-', coalesce(cast(identify as 
2022-06-13 13:14:27 normalization >     string
2022-06-13 13:14:27 normalization > ), ''), '-', coalesce(cast(payer_id as 
2022-06-13 13:14:27 normalization >     string
2022-06-13 13:14:27 normalization > ), ''), '-', coalesce(cast(po_value as 
2022-06-13 13:14:27 normalization >     string
2022-06-13 13:14:27 normalization > ), ''), '-', coalesce(cast(pipefy_id as 
2022-06-13 13:14:27 normalization >     string
2022-06-13 13:14:27 normalization > ), ''), '-', coalesce(cast(conta_azul as 
2022-06-13 13:14:27 normalization >     string
2022-06-13 13:14:27 normalization > ), ''), '-', coalesce(cast(created_at as 
2022-06-13 13:14:27 normalization >     string
2022-06-13 13:14:27 normalization > ), ''), '-', coalesce(cast(last_quote as 
2022-06-13 13:14:27 normalization >     string
2022-06-13 13:14:27 normalization > ), ''), '-', coalesce(cast(order_form as 
2022-06-13 13:14:27 normalization >     string
2022-06-13 13:14:27 normalization > ), ''), '-', coalesce(cast(updated_at as 
2022-06-13 13:14:27 normalization >     string
2022-06-13 13:14:27 normalization > ), ''), '-', coalesce(cast(approved_at as 
2022-06-13 13:14:27 normalization >     string
2022-06-13 13:14:27 normalization > ), ''), '-', coalesce(cast(canceled_at as 
2022-06-13 13:14:27 normalization >     string
2022-06-13 13:14:27 normalization > ), ''), '-', coalesce(cast(final_value as 
2022-06-13 13:14:27 normalization >     string
2022-06-13 13:14:27 normalization > ), ''), '-', coalesce(cast(po_file_url as 
2022-06-13 13:14:27 normalization >     string
2022-06-13 13:14:27 normalization > ), ''), '-', coalesce(cast(client_notes as 
2022-06-13 13:14:27 normalization >     string
2022-06-13 13:14:27 normalization > ), ''), '-', coalesce(cast(freight_code as 
2022-06-13 13:14:27 normalization >     string
2022-06-13 13:14:27 normalization > ), ''), '-', coalesce(cast(freight_link as 
2022-06-13 13:14:27 normalization >     string
2022-06-13 13:14:27 normalization > ), ''), '-', coalesce(cast(money_saving as 
2022-06-13 13:14:27 normalization >     string
2022-06-13 13:14:27 normalization > ), ''), '-', coalesce(cast(oico_invoice as 
2022-06-13 13:14:27 normalization >     string
2022-06-13 13:14:27 normalization > ), ''), '-', coalesce(cast(buyer_user_id as 
2022-06-13 13:14:27 normalization >     string
2022-06-13 13:14:27 normalization > ), ''), '-', coalesce(cast(expected_date as 
2022-06-13 13:14:27 normalization >     string
2022-06-13 13:14:27 normalization > ), ''), '-', coalesce(cast(expected_time as 
2022-06-13 13:14:27 normalization >     string
2022-06-13 13:14:27 normalization > ), ''), '-', coalesce(cast(fast_delivery as 
2022-06-13 13:14:27 normalization >     string
2022-06-13 13:14:27 normalization > ), ''), '-', coalesce(cast(freight_value as 
2022-06-13 13:14:27 normalization >     string
2022-06-13 13:14:27 normalization > ), ''), '-', coalesce(cast(internal_notes as 
2022-06-13 13:14:27 normalization >     string
2022-06-13 13:14:27 normalization > ), ''), '-', coalesce(cast(payment_method as 
2022-06-13 13:14:27 normalization >     string
2022-06-13 13:14:27 normalization > ), ''), '-', coalesce(cast(quote_estimate as 
2022-06-13 13:14:27 normalization >     string
2022-06-13 13:14:27 normalization > ), ''), '-', coalesce(cast(automatic_quote as 
2022-06-13 13:14:27 normalization >     string
2022-06-13 13:14:27 normalization > ), ''), '-', coalesce(cast(expected_period as 
2022-06-13 13:14:27 normalization >     string
2022-06-13 13:14:27 normalization > ), ''), '-', coalesce(cast(financing_value as 
2022-06-13 13:14:27 normalization >     string
2022-06-13 13:14:27 normalization > ), ''), '-', coalesce(cast(parent_order_id as 
2022-06-13 13:14:27 normalization >     string
2022-06-13 13:14:27 normalization > ), ''), '-', coalesce(cast(user_preference as 
2022-06-13 13:14:27 normalization >     string
2022-06-13 13:14:27 normalization > ), ''), '-', coalesce(cast(quote_expires_at as 
2022-06-13 13:14:27 normalization >     string
2022-06-13 13:14:27 normalization > ), ''), '-', coalesce(cast(buyer_location_id as 
2022-06-13 13:14:27 normalization >     string
2022-06-13 13:14:27 normalization > ), ''), '-', coalesce(cast(client_order_form as 
2022-06-13 13:14:27 normalization >     string
2022-06-13 13:14:27 normalization > ), ''), '-', coalesce(cast(flexible_delivery as 
2022-06-13 13:14:27 normalization >     string
2022-06-13 13:14:27 normalization > ), ''), '-', coalesce(cast(shopping_list_url as 
2022-06-13 13:14:27 normalization >     string
2022-06-13 13:14:27 normalization > ), ''), '-', coalesce(cast(cancelation_reason as 
2022-06-13 13:14:27 normalization >     string
2022-06-13 13:14:27 normalization > ), ''), '-', coalesce(cast(client_internal_id as 
2022-06-13 13:14:27 normalization >     string
2022-06-13 13:14:27 normalization > ), ''), '-', coalesce(cast(more_payment_terms as 
2022-06-13 13:14:27 normalization >     string
2022-06-13 13:14:27 normalization > ), ''), '-', coalesce(cast(cancelation_comment as 
2022-06-13 13:14:27 normalization >     string
2022-06-13 13:14:27 normalization > ), ''), '-', coalesce(cast(first_quote_sent_at as 
2022-06-13 13:14:27 normalization >     string
2022-06-13 13:14:27 normalization > ), ''), '-', coalesce(cast(shareable_link_hash as 
2022-06-13 13:14:27 normalization >     string
2022-06-13 13:14:27 normalization > ), ''), '-', coalesce(cast(internal_delivery_notes as 
2022-06-13 13:14:27 normalization >     string
2022-06-13 13:14:27 normalization > ), ''), '-', coalesce(cast(expected_billing_due_date as 
2022-06-13 13:14:27 normalization >     string
2022-06-13 13:14:27 normalization > ), ''), '-', coalesce(cast(last_rdo_scheduling_message_sent_at as 
2022-06-13 13:14:27 normalization >     string
2022-06-13 13:14:27 normalization > ), '')) as 
2022-06-13 13:14:27 normalization >     string
2022-06-13 13:14:27 normalization > ))) as _airbyte_orders_hashid,
2022-06-13 13:14:27 normalization >     tmp.*
2022-06-13 13:14:27 normalization > from __dbt__cte__orders_ab2 tmp
2022-06-13 13:14:27 normalization > -- orders
2022-06-13 13:14:27 normalization > where 1 = 1
2022-06-13 13:14:27 normalization > )-- Final base SQL model
2022-06-13 13:14:27 normalization > -- depends_on: __dbt__cte__orders_ab3
2022-06-13 13:14:27 normalization > select
2022-06-13 13:14:27 normalization >     id,
2022-06-13 13:14:27 normalization >     type,
2022-06-13 13:14:27 normalization >     quote,
2022-06-13 13:14:27 normalization >     value,
2022-06-13 13:14:27 normalization >     events,
2022-06-13 13:14:27 normalization >     origin,
2022-06-13 13:14:27 normalization >     status,
2022-06-13 13:14:27 normalization >     comment,
2022-06-13 13:14:27 normalization >     buyer_id,
2022-06-13 13:14:27 normalization >     discount,
2022-06-13 13:14:27 normalization >     identify,
2022-06-13 13:14:27 normalization >     payer_id,
2022-06-13 13:14:27 normalization >     po_value,
2022-06-13 13:14:27 normalization >     pipefy_id,
2022-06-13 13:14:27 normalization >     conta_azul,
2022-06-13 13:14:27 normalization >     created_at,
2022-06-13 13:14:27 normalization >     last_quote,
2022-06-13 13:14:27 normalization >     order_form,
2022-06-13 13:14:27 normalization >     updated_at,
2022-06-13 13:14:27 normalization >     approved_at,
2022-06-13 13:14:27 normalization >     canceled_at,
2022-06-13 13:14:27 normalization >     final_value,
2022-06-13 13:14:27 normalization >     po_file_url,
2022-06-13 13:14:27 normalization >     client_notes,
2022-06-13 13:14:27 normalization >     freight_code,
2022-06-13 13:14:27 normalization >     freight_link,
2022-06-13 13:14:27 normalization >     money_saving,
2022-06-13 13:14:27 normalization >     oico_invoice,
2022-06-13 13:14:27 normalization >     buyer_user_id,
2022-06-13 13:14:27 normalization >     expected_date,
2022-06-13 13:14:27 normalization >     expected_time,
2022-06-13 13:14:27 normalization >     fast_delivery,
2022-06-13 13:14:27 normalization >     freight_value,
2022-06-13 13:14:27 normalization >     internal_notes,
2022-06-13 13:14:27 normalization >     payment_method,
2022-06-13 13:14:27 normalization >     quote_estimate,
2022-06-13 13:14:27 normalization >     automatic_quote,
2022-06-13 13:14:27 normalization >     expected_period,
2022-06-13 13:14:27 normalization >     financing_value,
2022-06-13 13:14:27 normalization >     parent_order_id,
2022-06-13 13:14:27 normalization >     user_preference,
2022-06-13 13:14:27 normalization >     quote_expires_at,
2022-06-13 13:14:27 normalization >     buyer_location_id,
2022-06-13 13:14:27 normalization >     client_order_form,
2022-06-13 13:14:27 normalization >     flexible_delivery,
2022-06-13 13:14:27 normalization >     shopping_list_url,
2022-06-13 13:14:27 normalization >     cancelation_reason,
2022-06-13 13:14:27 normalization >     client_internal_id,
2022-06-13 13:14:27 normalization >     more_payment_terms,
2022-06-13 13:14:27 normalization >     cancelation_comment,
2022-06-13 13:14:27 normalization >     first_quote_sent_at,
2022-06-13 13:14:27 normalization >     shareable_link_hash,
2022-06-13 13:14:27 normalization >     internal_delivery_notes,
2022-06-13 13:14:27 normalization >     expected_billing_due_date,
2022-06-13 13:14:27 normalization >     last_rdo_scheduling_message_sent_at,
2022-06-13 13:14:27 normalization >     _airbyte_ab_id,
2022-06-13 13:14:27 normalization >     _airbyte_emitted_at,
2022-06-13 13:14:27 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at,
2022-06-13 13:14:27 normalization >     _airbyte_orders_hashid
2022-06-13 13:14:27 normalization > from __dbt__cte__orders_ab3
2022-06-13 13:14:27 normalization > -- orders from `dwcasa`.raw._airbyte_raw_orders
2022-06-13 13:14:27 normalization > where 1 = 1
2022-06-13 13:14:27 normalization >   );
2022-06-13 13:14:27 normalization >     
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:22.550829 (Thread-7): Retry attempt 1 of 1 after error: BadRequest("Invalid timestamp: '2020-06-22T17:50'")
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:24.269663 (Thread-7): finished collecting timing info
2022-06-13 13:14:27 normalization > 2022-06-13 13:14:24.270251 (Thread-7): Database Error in model orders (models/generated/airbyte_tables/raw/orders.sql)
2022-06-13 13:14:27 normalization >   Invalid timestamp: '2020-06-22T17:50'
2022-06-13 13:14:27 normalization >   compiled SQL at ../build/run/airbyte_utils/models/generated/airbyte_tables/raw/orders.sql
2022-06-13 13:14:27 normalization > Traceback (most recent call last):
2022-06-13 13:14:27 normalization >   File "/usr/local/lib/python3.8/site-packages/dbt/adapters/bigquery/connections.py", line 163, in exception_handler
2022-06-13 13:14:27 normalization >     yield
2022-06-13 13:14:27 normalization >   File "/usr/local/lib/python3.8/site-packages/dbt/adapters/bigquery/connections.py", line 566, in _retry_and_handle
2022-06-13 13:14:27 normalization >     return retry.retry_target(
2022-06-13 13:14:27 normalization >   File "/usr/local/lib/python3.8/site-packages/google/api_core/retry.py", line 189, in retry_target
2022-06-13 13:14:27 normalization >     return target()
2022-06-13 13:14:27 normalization >   File "/usr/local/lib/python3.8/site-packages/dbt/adapters/bigquery/connections.py", line 345, in fn
2022-06-13 13:14:27 normalization >     return self._query_and_results(client, sql, conn, job_params)
2022-06-13 13:14:27 normalization >   File "/usr/local/lib/python3.8/site-packages/dbt/adapters/bigquery/connections.py", line 552, in _query_and_results
2022-06-13 13:14:27 normalization >     iterator = query_job.result(timeout=timeout)
2022-06-13 13:14:27 normalization >   File "/usr/local/lib/python3.8/site-packages/google/cloud/bigquery/job/query.py", line 1450, in result
2022-06-13 13:14:27 normalization >     do_get_result()
2022-06-13 13:14:27 normalization >   File "/usr/local/lib/python3.8/site-packages/google/api_core/retry.py", line 286, in retry_wrapped_func
2022-06-13 13:14:27 normalization >     return retry_target(
2022-06-13 13:14:27 normalization >   File "/usr/local/lib/python3.8/site-packages/google/api_core/retry.py", line 189, in retry_target
2022-06-13 13:14:27 normalization >     return target()
2022-06-13 13:14:27 normalization >   File "/usr/local/lib/python3.8/site-packages/google/cloud/bigquery/job/query.py", line 1440, in do_get_result
2022-06-13 13:14:27 normalization >     super(QueryJob, self).result(retry=retry, timeout=timeout)
2022-06-13 13:14:27 normalization >   File "/usr/local/lib/python3.8/site-packages/google/cloud/bigquery/job/base.py", line 727, in result
2022-06-13 13:14:27 normalization >     return super(_AsyncJob, self).result(timeout=timeout, **kwargs)
2022-06-13 13:14:27 normalization >   File "/usr/local/lib/python3.8/site-packages/google/api_core/future/polling.py", line 135, in result
2022-06-13 13:14:27 normalization >     raise self._exception
2022-06-13 13:14:27 normalization > google.api_core.exceptions.BadRequest: 400 Invalid timestamp: '2020-06-22T17:50'
2022-06-13 13:14:27 normalization > 
2022-06-13 13:14:27 normalization > (job ID: 2581840e-e21f-4128-bced-715e4669e0d3)
2022-06-13 13:14:27 normalization > 
2022-06-13 13:14:27 normalization >                                                         -----Query Job SQL Follows-----                                                        
2022-06-13 13:14:27 normalization > 
2022-06-13 13:14:27 normalization >     |    .    |    .    |    .    |    .    |    .    |    .    |    .    |    .    |    .    |    .    |    .    |    .    |    .    |
2022-06-13 13:14:27 normalization >    1:/* {"app": "dbt", "dbt_version": "0.21.1", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.orders"} */
2022-06-13 13:14:27 normalization >    2:
2022-06-13 13:14:27 normalization >    3:
2022-06-13 13:14:27 normalization >    4:  create or replace table `dwcasa`.raw.`orders`
2022-06-13 13:14:27 normalization >    5:  partition by timestamp_trunc(_airbyte_emitted_at, day)
2022-06-13 13:14:27 normalization >    6:  cluster by _airbyte_emitted_at
2022-06-13 13:14:27 normalization >    7:  OPTIONS()
2022-06-13 13:14:27 normalization >    8:  as (
2022-06-13 13:14:27 normalization >    9:    
2022-06-13 13:14:27 normalization >   10:with __dbt__cte__orders_ab1 as (
2022-06-13 13:14:27 normalization >   11:
2022-06-13 13:14:27 normalization >   12:-- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema
2022-06-13 13:14:27 normalization >   13:-- depends_on: `dwcasa`.raw._airbyte_raw_orders
2022-06-13 13:14:27 normalization >   14:select
2022-06-13 13:14:27 normalization >   15:    json_extract_scalar(_airbyte_data, "$['id']") as id,
2022-06-13 13:14:27 normalization >   16:    json_extract_scalar(_airbyte_data, "$['type']") as type,
2022-06-13 13:14:27 normalization >   17:    json_extract_scalar(_airbyte_data, "$['quote']") as quote,
2022-06-13 13:14:27 normalization >   18:    json_extract_scalar(_airbyte_data, "$['value']") as value,
2022-06-13 13:14:27 normalization >   19:    json_extract_scalar(_airbyte_data, "$['events']") as events,
2022-06-13 13:14:27 normalization >   20:    json_extract_scalar(_airbyte_data, "$['origin']") as origin,
2022-06-13 13:14:27 normalization >   21:    json_extract_scalar(_airbyte_data, "$['status']") as status,
2022-06-13 13:14:27 normalization >   22:    json_extract_scalar(_airbyte_data, "$['comment']") as comment,
2022-06-13 13:14:27 normalization >   23:    json_extract_scalar(_airbyte_data, "$['buyer_id']") as buyer_id,
2022-06-13 13:14:27 normalization >   24:    json_extract_scalar(_airbyte_data, "$['discount']") as discount,
2022-06-13 13:14:27 normalization >   25:    json_extract_scalar(_airbyte_data, "$['identify']") as identify,
2022-06-13 13:14:27 normalization >   26:    json_extract_scalar(_airbyte_data, "$['payer_id']") as payer_id,
2022-06-13 13:14:27 normalization >   27:    json_extract_scalar(_airbyte_data, "$['po_value']") as po_value,
2022-06-13 13:14:27 normalization >   28:    json_extract_scalar(_airbyte_data, "$['pipefy_id']") as pipefy_id,
2022-06-13 13:14:27 normalization >   29:    json_extract_scalar(_airbyte_data, "$['conta_azul']") as conta_azul,
2022-06-13 13:14:27 normalization >   30:    json_extract_scalar(_airbyte_data, "$['created_at']") as created_at,
2022-06-13 13:14:27 normalization >   31:    json_extract_scalar(_airbyte_data, "$['last_quote']") as last_quote,
2022-06-13 13:14:27 normalization >   32:    json_extract_scalar(_airbyte_data, "$['order_form']") as order_form,
2022-06-13 13:14:27 normalization >   33:    json_extract_scalar(_airbyte_data, "$['updated_at']") as updated_at,
2022-06-13 13:14:27 normalization >   34:    json_extract_scalar(_airbyte_data, "$['approved_at']") as approved_at,
2022-06-13 13:14:27 normalization >   35:    json_extract_scalar(_airbyte_data, "$['canceled_at']") as canceled_at,
2022-06-13 13:14:27 normalization >   36:    json_extract_scalar(_airbyte_data, "$['final_value']") as final_value,
2022-06-13 13:14:27 normalization >   37:    json_extract_scalar(_airbyte_data, "$['po_file_url']") as po_file_url,
2022-06-13 13:14:27 normalization >   38:    json_extract_scalar(_airbyte_data, "$['client_notes']") as client_notes,
2022-06-13 13:14:27 normalization >   39:    json_extract_scalar(_airbyte_data, "$['freight_code']") as freight_code,
2022-06-13 13:14:27 normalization >   40:    json_extract_scalar(_airbyte_data, "$['freight_link']") as freight_link,
2022-06-13 13:14:27 normalization >   41:    json_extract_scalar(_airbyte_data, "$['money_saving']") as money_saving,
2022-06-13 13:14:27 normalization >   42:    json_extract_scalar(_airbyte_data, "$['oico_invoice']") as oico_invoice,
2022-06-13 13:14:27 normalization >   43:    json_extract_scalar(_airbyte_data, "$['buyer_user_id']") as buyer_user_id,
2022-06-13 13:14:27 normalization >   44:    json_extract_scalar(_airbyte_data, "$['expected_date']") as expected_date,
2022-06-13 13:14:27 normalization >   45:    json_extract_scalar(_airbyte_data, "$['expected_time']") as expected_time,
2022-06-13 13:14:27 normalization >   46:    json_extract_scalar(_airbyte_data, "$['fast_delivery']") as fast_delivery,
2022-06-13 13:14:27 normalization >   47:    json_extract_scalar(_airbyte_data, "$['freight_value']") as freight_value,
2022-06-13 13:14:27 normalization >   48:    json_extract_scalar(_airbyte_data, "$['internal_notes']") as internal_notes,
2022-06-13 13:14:27 normalization >   49:    json_extract_scalar(_airbyte_data, "$['payment_method']") as payment_method,
2022-06-13 13:14:27 normalization >   50:    json_extract_scalar(_airbyte_data, "$['quote_estimate']") as quote_estimate,
2022-06-13 13:14:27 normalization >   51:    json_extract_scalar(_airbyte_data, "$['automatic_quote']") as automatic_quote,
2022-06-13 13:14:27 normalization >   52:    json_extract_scalar(_airbyte_data, "$['expected_period']") as expected_period,
2022-06-13 13:14:27 normalization >   53:    json_extract_scalar(_airbyte_data, "$['financing_value']") as financing_value,
2022-06-13 13:14:27 normalization >   54:    json_extract_scalar(_airbyte_data, "$['parent_order_id']") as parent_order_id,
2022-06-13 13:14:27 normalization >   55:    json_extract_scalar(_airbyte_data, "$['user_preference']") as user_preference,
2022-06-13 13:14:27 normalization >   56:    json_extract_scalar(_airbyte_data, "$['quote_expires_at']") as quote_expires_at,
2022-06-13 13:14:27 normalization >   57:    json_extract_scalar(_airbyte_data, "$['buyer_location_id']") as buyer_location_id,
2022-06-13 13:14:27 normalization >   58:    json_extract_scalar(_airbyte_data, "$['client_order_form']") as client_order_form,
2022-06-13 13:14:27 normalization >   59:    json_extract_scalar(_airbyte_data, "$['flexible_delivery']") as flexible_delivery,
2022-06-13 13:14:27 normalization >   60:    json_extract_scalar(_airbyte_data, "$['shopping_list_url']") as shopping_list_url,
2022-06-13 13:14:27 normalization >   61:    json_extract_scalar(_airbyte_data, "$['cancelation_reason']") as cancelation_reason,
2022-06-13 13:14:27 normalization >   62:    json_extract_scalar(_airbyte_data, "$['client_internal_id']") as client_internal_id,
2022-06-13 13:14:27 normalization >   63:    json_extract_scalar(_airbyte_data, "$['more_payment_terms']") as more_payment_terms,
2022-06-13 13:14:27 normalization >   64:    json_extract_scalar(_airbyte_data, "$['cancelation_comment']") as cancelation_comment,
2022-06-13 13:14:27 normalization >   65:    json_extract_scalar(_airbyte_data, "$['first_quote_sent_at']") as first_quote_sent_at,
2022-06-13 13:14:27 normalization >   66:    json_extract_scalar(_airbyte_data, "$['shareable_link_hash']") as shareable_link_hash,
2022-06-13 13:14:27 normalization >   67:    json_extract_scalar(_airbyte_data, "$['internal_delivery_notes']") as internal_delivery_notes,
2022-06-13 13:14:27 normalization >   68:    json_extract_scalar(_airbyte_data, "$['expected_billing_due_date']") as expected_billing_due_date,
2022-06-13 13:14:27 normalization >   69:    json_extract_scalar(_airbyte_data, "$['last_rdo_scheduling_message_sent_at']") as last_rdo_scheduling_message_sent_at,
2022-06-13 13:14:27 normalization >   70:    _airbyte_ab_id,
2022-06-13 13:14:27 normalization >   71:    _airbyte_emitted_at,
2022-06-13 13:14:27 normalization >   72:    CURRENT_TIMESTAMP() as _airbyte_normalized_at
2022-06-13 13:14:27 normalization >   73:from `dwcasa`.raw._airbyte_raw_orders as table_alias
2022-06-13 13:14:27 normalization >   74:-- orders
2022-06-13 13:14:27 normalization >   75:where 1 = 1
2022-06-13 13:14:27 normalization >   76:),  __dbt__cte__orders_ab2 as (
2022-06-13 13:14:27 normalization >   77:
2022-06-13 13:14:27 normalization >   78:-- SQL model to cast each column to its adequate SQL type converted from the JSON schema type
2022-06-13 13:14:27 normalization >   79:-- depends_on: __dbt__cte__orders_ab1
2022-06-13 13:14:27 normalization >   80:select
2022-06-13 13:14:27 normalization >   81:    cast(id as 
2022-06-13 13:14:27 normalization >   82:    float64
2022-06-13 13:14:27 normalization >   83:) as id,
2022-06-13 13:14:27 normalization >   84:    cast(type as 
2022-06-13 13:14:27 normalization >   85:    float64
2022-06-13 13:14:27 normalization >   86:) as type,
2022-06-13 13:14:28 normalization >   87:    cast(quote as boolean) as quote,
2022-06-13 13:14:28 normalization >   88:    cast(value as 
2022-06-13 13:14:28 normalization >   89:    float64
2022-06-13 13:14:28 normalization >   90:) as value,
2022-06-13 13:14:28 normalization >   91:    cast(events as 
2022-06-13 13:14:28 normalization >   92:    string
2022-06-13 13:14:28 normalization >   93:) as events,
2022-06-13 13:14:28 normalization >   94:    cast(origin as 
2022-06-13 13:14:28 normalization >   95:    float64
2022-06-13 13:14:28 normalization >   96:) as origin,
2022-06-13 13:14:28 normalization >   97:    cast(status as 
2022-06-13 13:14:28 normalization >   98:    float64
2022-06-13 13:14:28 normalization >   99:) as status,
2022-06-13 13:14:28 normalization >  100:    cast(comment as 
2022-06-13 13:14:28 normalization >  101:    string
2022-06-13 13:14:28 normalization >  102:) as comment,
2022-06-13 13:14:28 normalization >  103:    cast(buyer_id as 
2022-06-13 13:14:28 normalization >  104:    float64
2022-06-13 13:14:28 normalization >  105:) as buyer_id,
2022-06-13 13:14:28 normalization >  106:    cast(discount as 
2022-06-13 13:14:28 normalization >  107:    float64
2022-06-13 13:14:28 normalization >  108:) as discount,
2022-06-13 13:14:28 normalization >  109:    cast(identify as 
2022-06-13 13:14:28 normalization >  110:    string
2022-06-13 13:14:28 normalization >  111:) as identify,
2022-06-13 13:14:28 normalization >  112:    cast(payer_id as 
2022-06-13 13:14:28 normalization >  113:    float64
2022-06-13 13:14:28 normalization >  114:) as payer_id,
2022-06-13 13:14:28 normalization >  115:    cast(po_value as 
2022-06-13 13:14:28 normalization >  116:    float64
2022-06-13 13:14:28 normalization >  117:) as po_value,
2022-06-13 13:14:28 normalization >  118:    cast(pipefy_id as 
2022-06-13 13:14:28 normalization >  119:    float64
2022-06-13 13:14:28 normalization >  120:) as pipefy_id,
2022-06-13 13:14:28 normalization >  121:    cast(conta_azul as 
2022-06-13 13:14:28 normalization >  122:    string
2022-06-13 13:14:28 normalization >  123:) as conta_azul,
2022-06-13 13:14:28 normalization >  124:    cast(nullif(created_at, '') as 
2022-06-13 13:14:28 normalization >  125:    timestamp
2022-06-13 13:14:28 normalization >  126:) as created_at,
2022-06-13 13:14:28 normalization >  127:    cast(last_quote as 
2022-06-13 13:14:28 normalization >  128:    string
2022-06-13 13:14:28 normalization >  129:) as last_quote,
2022-06-13 13:14:28 normalization >  130:    cast(order_form as 
2022-06-13 13:14:28 normalization >  131:    string
2022-06-13 13:14:28 normalization >  132:) as order_form,
2022-06-13 13:14:28 normalization >  133:    cast(nullif(updated_at, '') as 
2022-06-13 13:14:28 normalization >  134:    timestamp
2022-06-13 13:14:28 normalization >  135:) as updated_at,
2022-06-13 13:14:28 normalization >  136:    cast(nullif(approved_at, '') as 
2022-06-13 13:14:28 normalization >  137:    timestamp
2022-06-13 13:14:28 normalization >  138:) as approved_at,
2022-06-13 13:14:28 normalization >  139:    cast(nullif(canceled_at, '') as 
2022-06-13 13:14:28 normalization >  140:    timestamp
2022-06-13 13:14:28 normalization >  141:) as canceled_at,
2022-06-13 13:14:28 normalization >  142:    cast(final_value as 
2022-06-13 13:14:28 normalization >  143:    float64
2022-06-13 13:14:28 normalization >  144:) as final_value,
2022-06-13 13:14:28 normalization >  145:    cast(po_file_url as 
2022-06-13 13:14:28 normalization >  146:    string
2022-06-13 13:14:28 normalization >  147:) as po_file_url,
2022-06-13 13:14:28 normalization >  148:    cast(client_notes as 
2022-06-13 13:14:28 normalization >  149:    string
2022-06-13 13:14:28 normalization >  150:) as client_notes,
2022-06-13 13:14:28 normalization >  151:    cast(freight_code as 
2022-06-13 13:14:28 normalization >  152:    string
2022-06-13 13:14:28 normalization >  153:) as freight_code,
2022-06-13 13:14:28 normalization >  154:    cast(freight_link as 
2022-06-13 13:14:28 normalization >  155:    string
2022-06-13 13:14:28 normalization >  156:) as freight_link,
2022-06-13 13:14:28 normalization >  157:    cast(money_saving as 
2022-06-13 13:14:28 normalization >  158:    float64
2022-06-13 13:14:28 normalization >  159:) as money_saving,
2022-06-13 13:14:28 normalization >  160:    cast(oico_invoice as boolean) as oico_invoice,
2022-06-13 13:14:28 normalization >  161:    cast(buyer_user_id as 
2022-06-13 13:14:28 normalization >  162:    float64
2022-06-13 13:14:28 normalization >  163:) as buyer_user_id,
2022-06-13 13:14:28 normalization >  164:    cast(nullif(expected_date, '') as 
2022-06-13 13:14:28 normalization >  165:    date
2022-06-13 13:14:28 normalization >  166:) as expected_date,
2022-06-13 13:14:28 normalization >  167:    cast(expected_time as 
2022-06-13 13:14:28 normalization >  168:    string
2022-06-13 13:14:28 normalization >  169:) as expected_time,
2022-06-13 13:14:28 normalization >  170:    cast(fast_delivery as boolean) as fast_delivery,
2022-06-13 13:14:28 normalization >  171:    cast(freight_value as 
2022-06-13 13:14:28 normalization >  172:    float64
2022-06-13 13:14:28 normalization >  173:) as freight_value,
2022-06-13 13:14:28 normalization >  174:    cast(internal_notes as 
2022-06-13 13:14:28 normalization >  175:    string
2022-06-13 13:14:28 normalization >  176:) as internal_notes,
2022-06-13 13:14:28 normalization >  177:    cast(payment_method as 
2022-06-13 13:14:28 normalization >  178:    float64
2022-06-13 13:14:28 normalization >  179:) as payment_method,
2022-06-13 13:14:28 normalization >  180:    cast(quote_estimate as 
2022-06-13 13:14:28 normalization >  181:    float64
2022-06-13 13:14:28 normalization >  182:) as quote_estimate,
2022-06-13 13:14:28 normalization >  183:    cast(automatic_quote as boolean) as automatic_quote,
2022-06-13 13:14:28 normalization >  184:    cast(expected_period as 
2022-06-13 13:14:28 normalization >  185:    float64
2022-06-13 13:14:28 normalization >  186:) as expected_period,
2022-06-13 13:14:28 normalization >  187:    cast(financing_value as 
2022-06-13 13:14:28 normalization >  188:    float64
2022-06-13 13:14:28 normalization >  189:) as financing_value,
2022-06-13 13:14:28 normalization >  190:    cast(parent_order_id as 
2022-06-13 13:14:28 normalization >  191:    float64
2022-06-13 13:14:28 normalization >  192:) as parent_order_id,
2022-06-13 13:14:28 normalization >  193:    cast(user_preference as 
2022-06-13 13:14:28 normalization >  194:    float64
2022-06-13 13:14:28 normalization >  195:) as user_preference,
2022-06-13 13:14:28 normalization >  196:    cast(nullif(quote_expires_at, '') as 
2022-06-13 13:14:28 normalization >  197:    timestamp
2022-06-13 13:14:28 normalization >  198:) as quote_expires_at,
2022-06-13 13:14:28 normalization >  199:    cast(buyer_location_id as 
2022-06-13 13:14:28 normalization >  200:    float64
2022-06-13 13:14:28 normalization >  201:) as buyer_location_id,
2022-06-13 13:14:28 normalization >  202:    cast(client_order_form as 
2022-06-13 13:14:28 normalization >  203:    string
2022-06-13 13:14:28 normalization >  204:) as client_order_form,
2022-06-13 13:14:28 normalization >  205:    cast(flexible_delivery as boolean) as flexible_delivery,
2022-06-13 13:14:28 normalization >  206:    cast(shopping_list_url as 
2022-06-13 13:14:28 normalization >  207:    string
2022-06-13 13:14:28 normalization >  208:) as shopping_list_url,
2022-06-13 13:14:28 normalization >  209:    cast(cancelation_reason as 
2022-06-13 13:14:28 normalization >  210:    float64
2022-06-13 13:14:28 normalization >  211:) as cancelation_reason,
2022-06-13 13:14:28 normalization >  212:    cast(client_internal_id as 
2022-06-13 13:14:28 normalization >  213:    string
2022-06-13 13:14:28 normalization >  214:) as client_internal_id,
2022-06-13 13:14:28 normalization >  215:    cast(more_payment_terms as boolean) as more_payment_terms,
2022-06-13 13:14:28 normalization >  216:    cast(cancelation_comment as 
2022-06-13 13:14:28 normalization >  217:    string
2022-06-13 13:14:28 normalization >  218:) as cancelation_comment,
2022-06-13 13:14:28 normalization >  219:    cast(nullif(first_quote_sent_at, '') as 
2022-06-13 13:14:28 normalization >  220:    timestamp
2022-06-13 13:14:28 normalization >  221:) as first_quote_sent_at,
2022-06-13 13:14:28 normalization >  222:    cast(shareable_link_hash as 
2022-06-13 13:14:28 normalization >  223:    string
2022-06-13 13:14:28 normalization >  224:) as shareable_link_hash,
2022-06-13 13:14:28 normalization >  225:    cast(internal_delivery_notes as 
2022-06-13 13:14:28 normalization >  226:    string
2022-06-13 13:14:28 normalization >  227:) as internal_delivery_notes,
2022-06-13 13:14:28 normalization >  228:    cast(nullif(expected_billing_due_date, '') as 
2022-06-13 13:14:28 normalization >  229:    date
2022-06-13 13:14:28 normalization >  230:) as expected_billing_due_date,
2022-06-13 13:14:28 normalization >  231:    cast(nullif(last_rdo_scheduling_message_sent_at, '') as 
2022-06-13 13:14:28 normalization >  232:    timestamp
2022-06-13 13:14:28 normalization >  233:) as last_rdo_scheduling_message_sent_at,
2022-06-13 13:14:28 normalization >  234:    _airbyte_ab_id,
2022-06-13 13:14:28 normalization >  235:    _airbyte_emitted_at,
2022-06-13 13:14:28 normalization >  236:    CURRENT_TIMESTAMP() as _airbyte_normalized_at
2022-06-13 13:14:28 normalization >  237:from __dbt__cte__orders_ab1
2022-06-13 13:14:28 normalization >  238:-- orders
2022-06-13 13:14:28 normalization >  239:where 1 = 1
2022-06-13 13:14:28 normalization >  240:),  __dbt__cte__orders_ab3 as (
2022-06-13 13:14:28 normalization >  241:
2022-06-13 13:14:28 normalization >  242:-- SQL model to build a hash column based on the values of this record
2022-06-13 13:14:28 normalization >  243:-- depends_on: __dbt__cte__orders_ab2
2022-06-13 13:14:28 normalization >  244:select
2022-06-13 13:14:28 normalization >  245:    to_hex(md5(cast(concat(coalesce(cast(id as 
2022-06-13 13:14:28 normalization >  246:    string
2022-06-13 13:14:28 normalization >  247:), ''), '-', coalesce(cast(type as 
2022-06-13 13:14:28 normalization >  248:    string
2022-06-13 13:14:28 normalization >  249:), ''), '-', coalesce(cast(quote as 
2022-06-13 13:14:28 normalization >  250:    string
2022-06-13 13:14:28 normalization >  251:), ''), '-', coalesce(cast(value as 
2022-06-13 13:14:28 normalization >  252:    string
2022-06-13 13:14:28 normalization >  253:), ''), '-', coalesce(cast(events as 
2022-06-13 13:14:28 normalization >  254:    string
2022-06-13 13:14:28 normalization >  255:), ''), '-', coalesce(cast(origin as 
2022-06-13 13:14:28 normalization >  256:    string
2022-06-13 13:14:28 normalization >  257:), ''), '-', coalesce(cast(status as 
2022-06-13 13:14:28 normalization >  258:    string
2022-06-13 13:14:28 normalization >  259:), ''), '-', coalesce(cast(comment as 
2022-06-13 13:14:28 normalization >  260:    string
2022-06-13 13:14:28 normalization >  261:), ''), '-', coalesce(cast(buyer_id as 
2022-06-13 13:14:28 normalization >  262:    string
2022-06-13 13:14:28 normalization >  263:), ''), '-', coalesce(cast(discount as 
2022-06-13 13:14:28 normalization >  264:    string
2022-06-13 13:14:28 normalization >  265:), ''), '-', coalesce(cast(identify as 
2022-06-13 13:14:28 normalization >  266:    string
2022-06-13 13:14:28 normalization >  267:), ''), '-', coalesce(cast(payer_id as 
2022-06-13 13:14:28 normalization >  268:    string
2022-06-13 13:14:28 normalization >  269:), ''), '-', coalesce(cast(po_value as 
2022-06-13 13:14:28 normalization >  270:    string
2022-06-13 13:14:28 normalization >  271:), ''), '-', coalesce(cast(pipefy_id as 
2022-06-13 13:14:28 normalization >  272:    string
2022-06-13 13:14:28 normalization >  273:), ''), '-', coalesce(cast(conta_azul as 
2022-06-13 13:14:28 normalization >  274:    string
2022-06-13 13:14:28 normalization >  275:), ''), '-', coalesce(cast(created_at as 
2022-06-13 13:14:28 normalization >  276:    string
2022-06-13 13:14:28 normalization >  277:), ''), '-', coalesce(cast(last_quote as 
2022-06-13 13:14:28 normalization >  278:    string
2022-06-13 13:14:28 normalization >  279:), ''), '-', coalesce(cast(order_form as 
2022-06-13 13:14:28 normalization >  280:    string
2022-06-13 13:14:28 normalization >  281:), ''), '-', coalesce(cast(updated_at as 
2022-06-13 13:14:28 normalization >  282:    string
2022-06-13 13:14:28 normalization >  283:), ''), '-', coalesce(cast(approved_at as 
2022-06-13 13:14:28 normalization >  284:    string
2022-06-13 13:14:28 normalization >  285:), ''), '-', coalesce(cast(canceled_at as 
2022-06-13 13:14:28 normalization >  286:    string
2022-06-13 13:14:28 normalization >  287:), ''), '-', coalesce(cast(final_value as 
2022-06-13 13:14:28 normalization >  288:    string
2022-06-13 13:14:28 normalization >  289:), ''), '-', coalesce(cast(po_file_url as 
2022-06-13 13:14:28 normalization >  290:    string
2022-06-13 13:14:28 normalization >  291:), ''), '-', coalesce(cast(client_notes as 
2022-06-13 13:14:28 normalization >  292:    string
2022-06-13 13:14:28 normalization >  293:), ''), '-', coalesce(cast(freight_code as 
2022-06-13 13:14:28 normalization >  294:    string
2022-06-13 13:14:28 normalization >  295:), ''), '-', coalesce(cast(freight_link as 
2022-06-13 13:14:28 normalization >  296:    string
2022-06-13 13:14:28 normalization >  297:), ''), '-', coalesce(cast(money_saving as 
2022-06-13 13:14:28 normalization >  298:    string
2022-06-13 13:14:28 normalization >  299:), ''), '-', coalesce(cast(oico_invoice as 
2022-06-13 13:14:28 normalization >  300:    string
2022-06-13 13:14:28 normalization >  301:), ''), '-', coalesce(cast(buyer_user_id as 
2022-06-13 13:14:28 normalization >  302:    string
2022-06-13 13:14:28 normalization >  303:), ''), '-', coalesce(cast(expected_date as 
2022-06-13 13:14:28 normalization >  304:    string
2022-06-13 13:14:28 normalization >  305:), ''), '-', coalesce(cast(expected_time as 
2022-06-13 13:14:28 normalization >  306:    string
2022-06-13 13:14:28 normalization >  307:), ''), '-', coalesce(cast(fast_delivery as 
2022-06-13 13:14:28 normalization >  308:    string
2022-06-13 13:14:28 normalization >  309:), ''), '-', coalesce(cast(freight_value as 
2022-06-13 13:14:28 normalization >  310:    string
2022-06-13 13:14:28 normalization >  311:), ''), '-', coalesce(cast(internal_notes as 
2022-06-13 13:14:28 normalization >  312:    string
2022-06-13 13:14:28 normalization >  313:), ''), '-', coalesce(cast(payment_method as 
2022-06-13 13:14:28 normalization >  314:    string
2022-06-13 13:14:28 normalization >  315:), ''), '-', coalesce(cast(quote_estimate as 
2022-06-13 13:14:28 normalization >  316:    string
2022-06-13 13:14:28 normalization >  317:), ''), '-', coalesce(cast(automatic_quote as 
2022-06-13 13:14:28 normalization >  318:    string
2022-06-13 13:14:28 normalization >  319:), ''), '-', coalesce(cast(expected_period as 
2022-06-13 13:14:28 normalization >  320:    string
2022-06-13 13:14:28 normalization >  321:), ''), '-', coalesce(cast(financing_value as 
2022-06-13 13:14:28 normalization >  322:    string
2022-06-13 13:14:28 normalization >  323:), ''), '-', coalesce(cast(parent_order_id as 
2022-06-13 13:14:28 normalization >  324:    string
2022-06-13 13:14:28 normalization >  325:), ''), '-', coalesce(cast(user_preference as 
2022-06-13 13:14:28 normalization >  326:    string
2022-06-13 13:14:28 normalization >  327:), ''), '-', coalesce(cast(quote_expires_at as 
2022-06-13 13:14:28 normalization >  328:    string
2022-06-13 13:14:28 normalization >  329:), ''), '-', coalesce(cast(buyer_location_id as 
2022-06-13 13:14:28 normalization >  330:    string
2022-06-13 13:14:28 normalization >  331:), ''), '-', coalesce(cast(client_order_form as 
2022-06-13 13:14:28 normalization >  332:    string
2022-06-13 13:14:28 normalization >  333:), ''), '-', coalesce(cast(flexible_delivery as 
2022-06-13 13:14:28 normalization >  334:    string
2022-06-13 13:14:28 normalization >  335:), ''), '-', coalesce(cast(shopping_list_url as 
2022-06-13 13:14:28 normalization >  336:    string
2022-06-13 13:14:28 normalization >  337:), ''), '-', coalesce(cast(cancelation_reason as 
2022-06-13 13:14:28 normalization >  338:    string
2022-06-13 13:14:28 normalization >  339:), ''), '-', coalesce(cast(client_internal_id as 
2022-06-13 13:14:28 normalization >  340:    string
2022-06-13 13:14:28 normalization >  341:), ''), '-', coalesce(cast(more_payment_terms as 
2022-06-13 13:14:28 normalization >  342:    string
2022-06-13 13:14:28 normalization >  343:), ''), '-', coalesce(cast(cancelation_comment as 
2022-06-13 13:14:28 normalization >  344:    string
2022-06-13 13:14:28 normalization >  345:), ''), '-', coalesce(cast(first_quote_sent_at as 
2022-06-13 13:14:28 normalization >  346:    string
2022-06-13 13:14:28 normalization >  347:), ''), '-', coalesce(cast(shareable_link_hash as 
2022-06-13 13:14:28 normalization >  348:    string
2022-06-13 13:14:28 normalization >  349:), ''), '-', coalesce(cast(internal_delivery_notes as 
2022-06-13 13:14:28 normalization >  350:    string
2022-06-13 13:14:28 normalization >  351:), ''), '-', coalesce(cast(expected_billing_due_date as 
2022-06-13 13:14:28 normalization >  352:    string
2022-06-13 13:14:28 normalization >  353:), ''), '-', coalesce(cast(last_rdo_scheduling_message_sent_at as 
2022-06-13 13:14:28 normalization >  354:    string
2022-06-13 13:14:28 normalization >  355:), '')) as 
2022-06-13 13:14:28 normalization >  356:    string
2022-06-13 13:14:28 normalization >  357:))) as _airbyte_orders_hashid,
2022-06-13 13:14:28 normalization >  358:    tmp.*
2022-06-13 13:14:28 normalization >  359:from __dbt__cte__orders_ab2 tmp
2022-06-13 13:14:28 normalization >  360:-- orders
2022-06-13 13:14:28 normalization >  361:where 1 = 1
2022-06-13 13:14:28 normalization >  362:)-- Final base SQL model
2022-06-13 13:14:28 normalization >  363:-- depends_on: __dbt__cte__orders_ab3
2022-06-13 13:14:28 normalization >  364:select
2022-06-13 13:14:28 normalization >  365:    id,
2022-06-13 13:14:28 normalization >  366:    type,
2022-06-13 13:14:28 normalization >  367:    quote,
2022-06-13 13:14:28 normalization >  368:    value,
2022-06-13 13:14:28 normalization >  369:    events,
2022-06-13 13:14:28 normalization >  370:    origin,
2022-06-13 13:14:28 normalization >  371:    status,
2022-06-13 13:14:28 normalization >  372:    comment,
2022-06-13 13:14:28 normalization >  373:    buyer_id,
2022-06-13 13:14:28 normalization >  374:    discount,
2022-06-13 13:14:28 normalization >  375:    identify,
2022-06-13 13:14:28 normalization >  376:    payer_id,
2022-06-13 13:14:28 normalization >  377:    po_value,
2022-06-13 13:14:28 normalization >  378:    pipefy_id,
2022-06-13 13:14:28 normalization >  379:    conta_azul,
2022-06-13 13:14:28 normalization >  380:    created_at,
2022-06-13 13:14:28 normalization >  381:    last_quote,
2022-06-13 13:14:28 normalization >  382:    order_form,
2022-06-13 13:14:28 normalization >  383:    updated_at,
2022-06-13 13:14:28 normalization >  384:    approved_at,
2022-06-13 13:14:28 normalization >  385:    canceled_at,
2022-06-13 13:14:28 normalization >  386:    final_value,
2022-06-13 13:14:28 normalization >  387:    po_file_url,
2022-06-13 13:14:28 normalization >  388:    client_notes,
2022-06-13 13:14:28 normalization >  389:    freight_code,
2022-06-13 13:14:28 normalization >  390:    freight_link,
2022-06-13 13:14:28 normalization >  391:    money_saving,
2022-06-13 13:14:28 normalization >  392:    oico_invoice,
2022-06-13 13:14:28 normalization >  393:    buyer_user_id,
2022-06-13 13:14:28 normalization >  394:    expected_date,
2022-06-13 13:14:28 normalization >  395:    expected_time,
2022-06-13 13:14:28 normalization >  396:    fast_delivery,
2022-06-13 13:14:28 normalization >  397:    freight_value,
2022-06-13 13:14:28 normalization >  398:    internal_notes,
2022-06-13 13:14:28 normalization >  399:    payment_method,
2022-06-13 13:14:28 normalization >  400:    quote_estimate,
2022-06-13 13:14:28 normalization >  401:    automatic_quote,
2022-06-13 13:14:28 normalization >  402:    expected_period,
2022-06-13 13:14:28 normalization >  403:    financing_value,
2022-06-13 13:14:28 normalization >  404:    parent_order_id,
2022-06-13 13:14:28 normalization >  405:    user_preference,
2022-06-13 13:14:28 normalization >  406:    quote_expires_at,
2022-06-13 13:14:28 normalization >  407:    buyer_location_id,
2022-06-13 13:14:28 normalization >  408:    client_order_form,
2022-06-13 13:14:28 normalization >  409:    flexible_delivery,
2022-06-13 13:14:28 normalization >  410:    shopping_list_url,
2022-06-13 13:14:28 normalization >  411:    cancelation_reason,
2022-06-13 13:14:28 normalization >  412:    client_internal_id,
2022-06-13 13:14:28 normalization >  413:    more_payment_terms,
2022-06-13 13:14:28 normalization >  414:    cancelation_comment,
2022-06-13 13:14:28 normalization >  415:    first_quote_sent_at,
2022-06-13 13:14:28 normalization >  416:    shareable_link_hash,
2022-06-13 13:14:28 normalization >  417:    internal_delivery_notes,
2022-06-13 13:14:28 normalization >  418:    expected_billing_due_date,
2022-06-13 13:14:28 normalization >  419:    last_rdo_scheduling_message_sent_at,
2022-06-13 13:14:28 normalization >  420:    _airbyte_ab_id,
2022-06-13 13:14:28 normalization >  421:    _airbyte_emitted_at,
2022-06-13 13:14:28 normalization >  422:    CURRENT_TIMESTAMP() as _airbyte_normalized_at,
2022-06-13 13:14:28 normalization >  423:    _airbyte_orders_hashid
2022-06-13 13:14:28 normalization >  424:from __dbt__cte__orders_ab3
2022-06-13 13:14:28 normalization >  425:-- orders from `dwcasa`.raw._airbyte_raw_orders
2022-06-13 13:14:28 normalization >  426:where 1 = 1
2022-06-13 13:14:28 normalization >  427:  );
2022-06-13 13:14:28 normalization >  428:    
2022-06-13 13:14:28 normalization >     |    .    |    .    |    .    |    .    |    .    |    .    |    .    |    .    |    .    |    .    |    .    |    .    |    .    |
2022-06-13 13:14:28 normalization > 
2022-06-13 13:14:28 normalization > During handling of the above exception, another exception occurred:
2022-06-13 13:14:28 normalization > 
2022-06-13 13:14:28 normalization > Traceback (most recent call last):
2022-06-13 13:14:28 normalization >   File "/usr/local/lib/python3.8/site-packages/dbt/task/base.py", line 348, in safe_run
2022-06-13 13:14:28 normalization >     result = self.compile_and_execute(manifest, ctx)
2022-06-13 13:14:28 normalization >   File "/usr/local/lib/python3.8/site-packages/dbt/task/base.py", line 291, in compile_and_execute
2022-06-13 13:14:28 normalization >     result = self.run(ctx.node, manifest)
2022-06-13 13:14:28 normalization >   File "/usr/local/lib/python3.8/site-packages/dbt/task/base.py", line 393, in run
2022-06-13 13:14:28 normalization >     return self.execute(compiled_node, manifest)
2022-06-13 13:14:28 normalization >   File "/usr/local/lib/python3.8/site-packages/dbt/task/run.py", line 249, in execute
2022-06-13 13:14:28 normalization >     result = MacroGenerator(materialization_macro, context)()
2022-06-13 13:14:28 normalization >   File "/usr/local/lib/python3.8/site-packages/dbt/clients/jinja.py", line 333, in __call__
2022-06-13 13:14:28 normalization >     return self.call_macro(*args, **kwargs)
2022-06-13 13:14:28 normalization >   File "/usr/local/lib/python3.8/site-packages/dbt/clients/jinja.py", line 260, in call_macro
2022-06-13 13:14:28 normalization >     return macro(*args, **kwargs)
2022-06-13 13:14:28 normalization >   File "/usr/local/lib/python3.8/site-packages/jinja2/runtime.py", line 675, in __call__
2022-06-13 13:14:28 normalization >     return self._invoke(arguments, autoescape)
2022-06-13 13:14:28 normalization >   File "/usr/local/lib/python3.8/site-packages/jinja2/runtime.py", line 679, in _invoke
2022-06-13 13:14:28 normalization >     rv = self._func(*arguments)
2022-06-13 13:14:28 normalization >   File "<template>", line 128, in macro
2022-06-13 13:14:28 normalization >   File "/usr/local/lib/python3.8/site-packages/jinja2/sandbox.py", line 462, in call
2022-06-13 13:14:28 normalization >     return __context.call(__obj, *args, **kwargs)
2022-06-13 13:14:28 normalization >   File "/usr/local/lib/python3.8/site-packages/jinja2/runtime.py", line 290, in call
2022-06-13 13:14:28 normalization >     return __obj(*args, **kwargs)
2022-06-13 13:14:28 normalization >   File "/usr/local/lib/python3.8/site-packages/dbt/clients/jinja.py", line 333, in __call__
2022-06-13 13:14:28 normalization >     return self.call_macro(*args, **kwargs)
2022-06-13 13:14:28 normalization >   File "/usr/local/lib/python3.8/site-packages/dbt/clients/jinja.py", line 260, in call_macro
2022-06-13 13:14:28 normalization >     return macro(*args, **kwargs)
2022-06-13 13:14:28 normalization >   File "/usr/local/lib/python3.8/site-packages/jinja2/runtime.py", line 675, in __call__
2022-06-13 13:14:28 normalization >     return self._invoke(arguments, autoescape)
2022-06-13 13:14:28 normalization >   File "/usr/local/lib/python3.8/site-packages/jinja2/runtime.py", line 679, in _invoke
2022-06-13 13:14:28 normalization >     rv = self._func(*arguments)
2022-06-13 13:14:28 normalization >   File "<template>", line 41, in macro
2022-06-13 13:14:28 normalization >   File "/usr/local/lib/python3.8/site-packages/jinja2/sandbox.py", line 462, in call
2022-06-13 13:14:28 normalization >     return __context.call(__obj, *args, **kwargs)
2022-06-13 13:14:28 normalization >   File "/usr/local/lib/python3.8/site-packages/jinja2/runtime.py", line 290, in call
2022-06-13 13:14:28 normalization >     return __obj(*args, **kwargs)
2022-06-13 13:14:28 normalization >   File "/usr/local/lib/python3.8/site-packages/dbt/adapters/base/impl.py", line 226, in execute
2022-06-13 13:14:28 normalization >     return self.connections.execute(
2022-06-13 13:14:28 normalization >   File "/usr/local/lib/python3.8/site-packages/dbt/adapters/bigquery/connections.py", line 356, in execute
2022-06-13 13:14:28 normalization >     query_job, iterator = self.raw_execute(sql, fetch=fetch)
2022-06-13 13:14:28 normalization >   File "/usr/local/lib/python3.8/site-packages/dbt/adapters/bigquery/connections.py", line 347, in raw_execute
2022-06-13 13:14:28 normalization >     query_job, iterator = self._retry_and_handle(msg=sql, conn=conn, fn=fn)
2022-06-13 13:14:28 normalization >   File "/usr/local/lib/python3.8/site-packages/dbt/adapters/bigquery/connections.py", line 566, in _retry_and_handle
2022-06-13 13:14:28 normalization >     return retry.retry_target(
2022-06-13 13:14:28 normalization >   File "/usr/local/lib/python3.8/contextlib.py", line 131, in __exit__
2022-06-13 13:14:28 normalization >     self.gen.throw(type, value, traceback)
2022-06-13 13:14:28 normalization >   File "/usr/local/lib/python3.8/site-packages/dbt/adapters/bigquery/connections.py", line 167, in exception_handler
2022-06-13 13:14:28 normalization >     self.handle_error(e, message)
2022-06-13 13:14:28 normalization >   File "/usr/local/lib/python3.8/site-packages/dbt/adapters/bigquery/connections.py", line 155, in handle_error
2022-06-13 13:14:28 normalization >     raise DatabaseException(error_msg)
2022-06-13 13:14:28 normalization > dbt.exceptions.DatabaseException: Database Error in model orders (models/generated/airbyte_tables/raw/orders.sql)
2022-06-13 13:14:28 normalization >   Invalid timestamp: '2020-06-22T17:50'
2022-06-13 13:14:28 normalization >   compiled SQL at ../build/run/airbyte_utils/models/generated/airbyte_tables/raw/orders.sql
2022-06-13 13:14:28 normalization > 2022-06-13 13:14:24.273503 (Thread-7): 13:14:24 | 1 of 1 ERROR creating table model raw.orders................................................................. [ERROR in 3.00s]
2022-06-13 13:14:28 normalization > 2022-06-13 13:14:24.273766 (Thread-7): Finished running node model.airbyte_utils.orders
2022-06-13 13:14:28 normalization > 2022-06-13 13:14:24.277520 (MainThread): Acquiring new bigquery connection "master".
2022-06-13 13:14:28 normalization > 2022-06-13 13:14:24.277916 (MainThread): 13:14:24 | 
2022-06-13 13:14:28 normalization > 2022-06-13 13:14:24.278776 (MainThread): 13:14:24 | Finished running 1 table model in 3.76s.
2022-06-13 13:14:28 normalization > 2022-06-13 13:14:24.279598 (MainThread): Connection 'master' was properly closed.
2022-06-13 13:14:28 normalization > 2022-06-13 13:14:24.279796 (MainThread): Connection 'model.airbyte_utils.orders_ab1' was properly closed.
2022-06-13 13:14:28 normalization > 2022-06-13 13:14:24.279918 (MainThread): Connection 'model.airbyte_utils.orders_ab2' was properly closed.
2022-06-13 13:14:28 normalization > 2022-06-13 13:14:24.280028 (MainThread): Connection 'model.airbyte_utils.orders_ab3' was properly closed.
2022-06-13 13:14:28 normalization > 2022-06-13 13:14:24.280133 (MainThread): Connection 'model.airbyte_utils.orders' was properly closed.
2022-06-13 13:14:28 normalization > 2022-06-13 13:14:24.295713 (MainThread): 
2022-06-13 13:14:28 normalization > 2022-06-13 13:14:24.296736 (MainThread): Completed with 1 error and 0 warnings:
2022-06-13 13:14:28 normalization > 2022-06-13 13:14:24.297563 (MainThread): 
2022-06-13 13:14:28 normalization > 2022-06-13 13:14:24.298250 (MainThread): Database Error in model orders (models/generated/airbyte_tables/raw/orders.sql)
2022-06-13 13:14:28 normalization > 2022-06-13 13:14:24.298857 (MainThread):   Invalid timestamp: '2020-06-22T17:50'
2022-06-13 13:14:28 normalization > 2022-06-13 13:14:24.299384 (MainThread):   compiled SQL at ../build/run/airbyte_utils/models/generated/airbyte_tables/raw/orders.sql
2022-06-13 13:14:28 normalization > 2022-06-13 13:14:24.300001 (MainThread): 
2022-06-13 13:14:28 normalization > Done. PASS=0 WARN=0 ERROR=1 SKIP=0 TOTAL=1
2022-06-13 13:14:28 normalization > 2022-06-13 13:14:24.300889 (MainThread): Flushing usage events
2022-06-13 13:14:28 INFO i.a.w.t.TemporalAttemptExecution(lambda$getWorkerThread$2):177 - Completing future exceptionally...
io.airbyte.workers.WorkerException: Normalization Failed.
	at io.airbyte.workers.DefaultNormalizationWorker.run(DefaultNormalizationWorker.java:60) ~[io.airbyte-airbyte-workers-0.35.4-alpha.jar:?]
	at io.airbyte.workers.DefaultNormalizationWorker.run(DefaultNormalizationWorker.java:18) ~[io.airbyte-airbyte-workers-0.35.4-alpha.jar:?]
	at io.airbyte.workers.temporal.TemporalAttemptExecution.lambda$getWorkerThread$2(TemporalAttemptExecution.java:174) ~[io.airbyte-airbyte-workers-0.35.4-alpha.jar:?]
	at java.lang.Thread.run(Thread.java:833) [?:?]
Caused by: io.airbyte.workers.WorkerException: Normalization Failed.
	at io.airbyte.workers.DefaultNormalizationWorker.run(DefaultNormalizationWorker.java:57) ~[io.airbyte-airbyte-workers-0.35.4-alpha.jar:?]
	... 3 more
	Suppressed: io.airbyte.workers.WorkerException: Normalization process wasn't successful
		at io.airbyte.workers.normalization.DefaultNormalizationRunner.close(DefaultNormalizationRunner.java:159) ~[io.airbyte-airbyte-workers-0.35.4-alpha.jar:?]
		at io.airbyte.workers.DefaultNormalizationWorker.run(DefaultNormalizationWorker.java:45) ~[io.airbyte-airbyte-workers-0.35.4-alpha.jar:?]
		at io.airbyte.workers.DefaultNormalizationWorker.run(DefaultNormalizationWorker.java:18) ~[io.airbyte-airbyte-workers-0.35.4-alpha.jar:?]
		at io.airbyte.workers.temporal.TemporalAttemptExecution.lambda$getWorkerThread$2(TemporalAttemptExecution.java:174) ~[io.airbyte-airbyte-workers-0.35.4-alpha.jar:?]
		at java.lang.Thread.run(Thread.java:833) [?:?]
2022-06-13 13:14:28 INFO i.a.w.t.TemporalAttemptExecution(get):144 - Stopping cancellation check scheduling...
2022-06-13 13:14:28 WARN i.t.i.s.POJOActivityTaskHandler(activityFailureToResult):363 - Activity failure. ActivityId=7e58f0be-4fd3-33e7-92a3-2f17c049b6be, activityType=Normalize, attempt=1
java.util.concurrent.ExecutionException: io.airbyte.workers.WorkerException: Normalization Failed.
	at java.util.concurrent.CompletableFuture.reportGet(CompletableFuture.java:396) ~[?:?]
	at java.util.concurrent.CompletableFuture.get(CompletableFuture.java:2073) ~[?:?]
	at io.airbyte.workers.temporal.TemporalAttemptExecution.get(TemporalAttemptExecution.java:142) ~[io.airbyte-airbyte-workers-0.35.4-alpha.jar:?]
	at io.airbyte.workers.temporal.sync.NormalizationActivityImpl.normalize(NormalizationActivityImpl.java:98) ~[io.airbyte-airbyte-workers-0.35.4-alpha.jar:?]
	at jdk.internal.reflect.GeneratedMethodAccessor162.invoke(Unknown Source) ~[?:?]
	at jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) ~[?:?]
	at java.lang.reflect.Method.invoke(Method.java:568) ~[?:?]
	at io.temporal.internal.sync.POJOActivityTaskHandler$POJOActivityInboundCallsInterceptor.execute(POJOActivityTaskHandler.java:286) ~[temporal-sdk-1.6.0.jar:?]
	at io.temporal.internal.sync.POJOActivityTaskHandler$POJOActivityImplementation.execute(POJOActivityTaskHandler.java:252) ~[temporal-sdk-1.6.0.jar:?]
	at io.temporal.internal.sync.POJOActivityTaskHandler.handle(POJOActivityTaskHandler.java:209) ~[temporal-sdk-1.6.0.jar:?]
	at io.temporal.internal.worker.ActivityWorker$TaskHandlerImpl.handle(ActivityWorker.java:193) ~[temporal-sdk-1.6.0.jar:?]
	at io.temporal.internal.worker.ActivityWorker$TaskHandlerImpl.handle(ActivityWorker.java:151) ~[temporal-sdk-1.6.0.jar:?]
	at io.temporal.internal.worker.PollTaskExecutor.lambda$process$0(PollTaskExecutor.java:73) ~[temporal-sdk-1.6.0.jar:?]
	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1136) [?:?]
	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:635) [?:?]
	at java.lang.Thread.run(Thread.java:833) [?:?]
Caused by: io.airbyte.workers.WorkerException: Normalization Failed.
	at io.airbyte.workers.DefaultNormalizationWorker.run(DefaultNormalizationWorker.java:60) ~[io.airbyte-airbyte-workers-0.35.4-alpha.jar:?]
	at io.airbyte.workers.DefaultNormalizationWorker.run(DefaultNormalizationWorker.java:18) ~[io.airbyte-airbyte-workers-0.35.4-alpha.jar:?]
	at io.airbyte.workers.temporal.TemporalAttemptExecution.lambda$getWorkerThread$2(TemporalAttemptExecution.java:174) ~[io.airbyte-airbyte-workers-0.35.4-alpha.jar:?]
	... 1 more
Caused by: io.airbyte.workers.WorkerException: Normalization Failed.
	at io.airbyte.workers.DefaultNormalizationWorker.run(DefaultNormalizationWorker.java:57) ~[io.airbyte-airbyte-workers-0.35.4-alpha.jar:?]
	at io.airbyte.workers.DefaultNormalizationWorker.run(DefaultNormalizationWorker.java:18) ~[io.airbyte-airbyte-workers-0.35.4-alpha.jar:?]
	at io.airbyte.workers.temporal.TemporalAttemptExecution.lambda$getWorkerThread$2(TemporalAttemptExecution.java:174) ~[io.airbyte-airbyte-workers-0.35.4-alpha.jar:?]
	... 1 more
	Suppressed: io.airbyte.workers.WorkerException: Normalization process wasn't successful
		at io.airbyte.workers.normalization.DefaultNormalizationRunner.close(DefaultNormalizationRunner.java:159) ~[io.airbyte-airbyte-workers-0.35.4-alpha.jar:?]
		at io.airbyte.workers.DefaultNormalizationWorker.run(DefaultNormalizationWorker.java:45) ~[io.airbyte-airbyte-workers-0.35.4-alpha.jar:?]
		at io.airbyte.workers.DefaultNormalizationWorker.run(DefaultNormalizationWorker.java:18) ~[io.airbyte-airbyte-workers-0.35.4-alpha.jar:?]
		at io.airbyte.workers.temporal.TemporalAttemptExecution.lambda$getWorkerThread$2(TemporalAttemptExecution.java:174) ~[io.airbyte-airbyte-workers-0.35.4-alpha.jar:?]
		at java.lang.Thread.run(Thread.java:833) [?:?]