2022-07-12 17:21:51 INFO i.a.w.p.KubePodProcess(close):714 - (pod: airbyte / source-postgres-read-229-0-hlbaz) - Closed all resources for pod
2022-07-12 17:21:51 INFO i.a.w.g.DefaultReplicationWorker(lambda$getReplicationRunnable$6):335 - Total records read: 26328585 (36 GB)
2022-07-12 17:21:51 WARN i.a.w.g.DefaultReplicationWorker(lambda$getReplicationRunnable$5):338 - Schema validation errors found for stream teekayspeed_speedplaninput. Error messages: [$.active_voyage_leg_id is of an incorrect type. Expected it to be number, $.optimizer_type is of an incorrect type. Expected it to be string, $.polygon_constraints_json is of an incorrect type. Expected it to be string, $.ticket_id is of an incorrect type. Expected it to be string, $.base_speed_used is of an incorrect type. Expected it to be number, $.min_speed_through_water is of an incorrect type. Expected it to be number, $.min_speed is of an incorrect type. Expected it to be number, $.safety_contour is of an incorrect type. Expected it to be number, $.simplify_plans is of an incorrect type. Expected it to be boolean, $.scrubber_available is of an incorrect type. Expected it to be boolean, $.route_type is of an incorrect type. Expected it to be string, $.arrival_window_end is of an incorrect type. Expected it to be string, $.cii_threshold_target is of an incorrect type. Expected it to be number, $.weather_constraints_json is of an incorrect type. Expected it to be string, $.arrival_window_start is of an incorrect type. Expected it to be string, $.correlation_id is of an incorrect type. Expected it to be string, $.max_speed is of an incorrect type. Expected it to be number, $.route_as_json is of an incorrect type. Expected it to be string, $.max_speed_through_water is of an incorrect type. Expected it to be number]
2022-07-12 17:21:51 WARN i.a.w.g.DefaultReplicationWorker(lambda$getReplicationRunnable$5):338 - Schema validation errors found for stream mtsimbunker_speedorder. Error messages: [$.comment is of an incorrect type. Expected it to be string, $.deleted_at is of an incorrect type. Expected it to be string]
2022-07-12 17:21:51 WARN i.a.w.g.DefaultReplicationWorker(lambda$getReplicationRunnable$5):338 - Schema validation errors found for stream teekayspeed_snoozevessel. Error messages: [$.snooze_end_latitude is of an incorrect type. Expected it to be number, $.snooze_end_longitude is of an incorrect type. Expected it to be number, $.snooze_end_port_id is of an incorrect type. Expected it to be string, $.unsnooze_user_id is of an incorrect type. Expected it to be number]
2022-07-12 17:21:51 WARN i.a.w.g.DefaultReplicationWorker(lambda$getReplicationRunnable$5):338 - Schema validation errors found for stream mtsimbunker_speedresponse. Error messages: [$.optimal_speed is of an incorrect type. Expected it to be number, $.actual_tce is of an incorrect type. Expected it to be number, $.deleted_at is of an incorrect type. Expected it to be string, $.optimal_tce is of an incorrect type. Expected it to be number, $.voyage_number is of an incorrect type. Expected it to be number]
2022-07-12 17:21:51 WARN i.a.w.g.DefaultReplicationWorker(lambda$getReplicationRunnable$5):338 - Schema validation errors found for stream teekayspeed_speednotification. Error messages: [$.action_user_id is of an incorrect type. Expected it to be number, $.action_type is of an incorrect type. Expected it to be string, $.action_date is of an incorrect type. Expected it to be string, $.dismissed_comment is of an incorrect type. Expected it to be string, $.voyage_leg_id is of an incorrect type. Expected it to be number, $.notification_status_user_id is of an incorrect type. Expected it to be number, $.dismissed_reason is of an incorrect type. Expected it to be string]
2022-07-12 17:21:51 WARN i.a.w.g.DefaultReplicationWorker(lambda$getReplicationRunnable$5):338 - Schema validation errors found for stream mtspeed_snoozevessel. Error messages: [$.snooze_end_latitude is of an incorrect type. Expected it to be number, $.snooze_end_longitude is of an incorrect type. Expected it to be number, $.snooze_end_port_id is of an incorrect type. Expected it to be string, $.unsnooze_user_id is of an incorrect type. Expected it to be number]
2022-07-12 17:21:51 WARN i.a.w.g.DefaultReplicationWorker(lambda$getReplicationRunnable$5):338 - Schema validation errors found for stream teekayspeed_speedvoyageleg. Error messages: [$.aborted_reason is of an incorrect type. Expected it to be string, $.aborted_time is of an incorrect type. Expected it to be string, $.aborted_user_id is of an incorrect type. Expected it to be number, $.origin_id is of an incorrect type. Expected it to be string]
2022-07-12 17:21:51 WARN i.a.w.g.DefaultReplicationWorker(lambda$getReplicationRunnable$5):338 - Schema validation errors found for stream mtspeed_speedvoyageleg. Error messages: [$.aborted_reason is of an incorrect type. Expected it to be string, $.aborted_time is of an incorrect type. Expected it to be string, $.aborted_user_id is of an incorrect type. Expected it to be number]
2022-07-12 17:21:51 WARN i.a.w.g.DefaultReplicationWorker(lambda$getReplicationRunnable$5):338 - Schema validation errors found for stream teekayspeed_voyagelegfinalstats. Error messages: [$.departure_port_id is of an incorrect type. Expected it to be string, $.arrival_port_id is of an incorrect type. Expected it to be string]
2022-07-12 17:21:51 WARN i.a.w.g.DefaultReplicationWorker(lambda$getReplicationRunnable$5):338 - Schema validation errors found for stream teekayspeed_speedplan. Error messages: [$.added_costs is of an incorrect type. Expected it to be number, $.order_user_id is of an incorrect type. Expected it to be number, $.warranted_speed is of an incorrect type. Expected it to be number, $.order_date is of an incorrect type. Expected it to be string, $.voyage_leg_id is of an incorrect type. Expected it to be number]
2022-07-12 17:21:51 WARN i.a.w.g.DefaultReplicationWorker(lambda$getReplicationRunnable$5):338 - Schema validation errors found for stream mtspeed_speedplansegment. Error messages: [$.swell_direction is of an incorrect type. Expected it to be number, $.speed_through_water is of an incorrect type. Expected it to be number, $.significant_wave_height is of an incorrect type. Expected it to be number, $.fixed_wait_time is of an incorrect type. Expected it to be number, $.swell_period is of an incorrect type. Expected it to be number, $.swell_height is of an incorrect type. Expected it to be number, $.primary_wave_direction is of an incorrect type. Expected it to be number, $.sea_current_impact is of an incorrect type. Expected it to be number, $.fixed_speed is of an incorrect type. Expected it to be number, $.fixed_arrival_time is of an incorrect type. Expected it to be string]
2022-07-12 17:21:51 WARN i.a.w.g.DefaultReplicationWorker(lambda$getReplicationRunnable$5):338 - Schema validation errors found for stream mtspeed_voyagelegfinalstats. Error messages: [$.departure_port_id is of an incorrect type. Expected it to be string]
2022-07-12 17:21:51 WARN i.a.w.g.DefaultReplicationWorker(lambda$getReplicationRunnable$5):338 - Schema validation errors found for stream cargillsimbunker_speedresponse. Error messages: [$.optimal_speed is of an incorrect type. Expected it to be number, $.actual_tce is of an incorrect type. Expected it to be number, $.deleted_at is of an incorrect type. Expected it to be string, $.optimal_tce is of an incorrect type. Expected it to be number, $.voyage_number is of an incorrect type. Expected it to be number, $.added_resistance is of an incorrect type. Expected it to be number, $.bunker_price is of an incorrect type. Expected it to be number]
2022-07-12 17:21:51 WARN i.a.w.g.DefaultReplicationWorker(lambda$getReplicationRunnable$5):338 - Schema validation errors found for stream cargillspeed_speedplaninput. Error messages: [$.active_voyage_leg_id is of an incorrect type. Expected it to be number, $.optimizer_type is of an incorrect type. Expected it to be string, $.base_speed_weights is of an incorrect type. Expected it to be string, $.polygon_constraints_json is of an incorrect type. Expected it to be string, $.ticket_id is of an incorrect type. Expected it to be string, $.min_speed_through_water is of an incorrect type. Expected it to be number, $.min_speed is of an incorrect type. Expected it to be number, $.safety_contour is of an incorrect type. Expected it to be number, $.simplify_plans is of an incorrect type. Expected it to be boolean, $.planned_departure_date is of an incorrect type. Expected it to be string, $.scrubber_available is of an incorrect type. Expected it to be boolean, $.route_type is of an incorrect type. Expected it to be string, $.arrival_window_end is of an incorrect type. Expected it to be string, $.cii_threshold_target is of an incorrect type. Expected it to be number, $.weather_constraints_json is of an incorrect type. Expected it to be string, $.market_rate_source is of an incorrect type. Expected it to be string, $.arrival_window_start is of an incorrect type. Expected it to be string, $.correlation_id is of an incorrect type. Expected it to be string, $.max_speed is of an incorrect type. Expected it to be number, $.route_as_json is of an incorrect type. Expected it to be string, $.max_speed_through_water is of an incorrect type. Expected it to be number]
2022-07-12 17:21:51 WARN i.a.w.g.DefaultReplicationWorker(lambda$getReplicationRunnable$5):338 - Schema validation errors found for stream cargillspeed_speedvoyagelegmetrics. Error messages: [$.replaced_after_hours is of an incorrect type. Expected it to be number]
2022-07-12 17:21:51 WARN i.a.w.g.DefaultReplicationWorker(lambda$getReplicationRunnable$5):338 - Schema validation errors found for stream cargillspeed_voyagelegstatus. Error messages: [$.deleted_at is of an incorrect type. Expected it to be string]
2022-07-12 17:21:51 WARN i.a.w.g.DefaultReplicationWorker(lambda$getReplicationRunnable$5):338 - Schema validation errors found for stream cargillspeed_speedplansegment. Error messages: [$.speed_through_water is of an incorrect type. Expected it to be number, $.fixed_wait_time is of an incorrect type. Expected it to be number, $.fixed_speed is of an incorrect type. Expected it to be number, $.fixed_arrival_time is of an incorrect type. Expected it to be string]
2022-07-12 17:21:51 WARN i.a.w.g.DefaultReplicationWorker(lambda$getReplicationRunnable$5):338 - Schema validation errors found for stream cargillspeed_snoozevessel. Error messages: [$.snooze_end_latitude is of an incorrect type. Expected it to be number, $.snooze_end_longitude is of an incorrect type. Expected it to be number, $.snooze_end_port_id is of an incorrect type. Expected it to be string, $.unsnooze_user_id is of an incorrect type. Expected it to be number]
2022-07-12 17:21:51 WARN i.a.w.g.DefaultReplicationWorker(lambda$getReplicationRunnable$5):338 - Schema validation errors found for stream mtspeed_voyagelegstatus. Error messages: [$.deleted_at is of an incorrect type. Expected it to be string]
2022-07-12 17:21:51 WARN i.a.w.g.DefaultReplicationWorker(lambda$getReplicationRunnable$5):338 - Schema validation errors found for stream mtspeed_speedplaninput. Error messages: [$.active_voyage_leg_id is of an incorrect type. Expected it to be number, $.optimizer_type is of an incorrect type. Expected it to be string, $.base_speed_weights is of an incorrect type. Expected it to be string, $.polygon_constraints_json is of an incorrect type. Expected it to be string, $.ticket_id is of an incorrect type. Expected it to be string, $.min_speed_through_water is of an incorrect type. Expected it to be number, $.min_speed is of an incorrect type. Expected it to be number, $.safety_contour is of an incorrect type. Expected it to be number, $.simplify_plans is of an incorrect type. Expected it to be boolean, $.planned_departure_date is of an incorrect type. Expected it to be string, $.scrubber_available is of an incorrect type. Expected it to be boolean, $.route_type is of an incorrect type. Expected it to be string, $.seca_bunker_price_source_id is of an incorrect type. Expected it to be number, $.arrival_window_end is of an incorrect type. Expected it to be string, $.cii_threshold_target is of an incorrect type. Expected it to be number, $.weather_constraints_json is of an incorrect type. Expected it to be string, $.market_rate_source is of an incorrect type. Expected it to be string, $.arrival_window_start is of an incorrect type. Expected it to be string, $.correlation_id is of an incorrect type. Expected it to be string, $.max_speed is of an incorrect type. Expected it to be number, $.route_as_json is of an incorrect type. Expected it to be string, $.bunker_price_source_id is of an incorrect type. Expected it to be number, $.max_speed_through_water is of an incorrect type. Expected it to be number]
2022-07-12 17:21:51 WARN i.a.w.g.DefaultReplicationWorker(lambda$getReplicationRunnable$5):338 - Schema validation errors found for stream cargillspeed_speedplan. Error messages: [$.added_costs is of an incorrect type. Expected it to be number, $.order_user_id is of an incorrect type. Expected it to be number, $.warranted_speed is of an incorrect type. Expected it to be number, $.order_date is of an incorrect type. Expected it to be string, $.voyage_leg_id is of an incorrect type. Expected it to be number]
2022-07-12 17:21:51 WARN i.a.w.g.DefaultReplicationWorker(lambda$getReplicationRunnable$5):338 - Schema validation errors found for stream teekayspeed_speedplansegment. Error messages: [$.speed_through_water is of an incorrect type. Expected it to be number, $.significant_wave_height is of an incorrect type. Expected it to be number, $.fixed_wait_time is of an incorrect type. Expected it to be number, $.primary_wave_direction is of an incorrect type. Expected it to be number, $.fixed_speed is of an incorrect type. Expected it to be number, $.fixed_arrival_time is of an incorrect type. Expected it to be string]
2022-07-12 17:21:51 WARN i.a.w.g.DefaultReplicationWorker(lambda$getReplicationRunnable$5):338 - Schema validation errors found for stream mtspeed_speedplaninputviapoint. Error messages: [$.arrival_date is of an incorrect type. Expected it to be string, $.wait_time is of an incorrect type. Expected it to be string]
2022-07-12 17:21:51 WARN i.a.w.g.DefaultReplicationWorker(lambda$getReplicationRunnable$5):338 - Schema validation errors found for stream cargillspeed_speednotification. Error messages: [$.action_user_id is of an incorrect type. Expected it to be number, $.action_type is of an incorrect type. Expected it to be string, $.action_date is of an incorrect type. Expected it to be string, $.dismissed_comment is of an incorrect type. Expected it to be string, $.voyage_leg_id is of an incorrect type. Expected it to be number, $.notification_status_user_id is of an incorrect type. Expected it to be number, $.dismissed_reason is of an incorrect type. Expected it to be string]
2022-07-12 17:21:51 WARN i.a.w.g.DefaultReplicationWorker(lambda$getReplicationRunnable$5):338 - Schema validation errors found for stream mtspeed_speedplan. Error messages: [$.added_costs is of an incorrect type. Expected it to be number, $.order_user_id is of an incorrect type. Expected it to be number, $.warranted_speed is of an incorrect type. Expected it to be number, $.order_date is of an incorrect type. Expected it to be string, $.voyage_leg_id is of an incorrect type. Expected it to be number]
2022-07-12 17:21:51 WARN i.a.w.g.DefaultReplicationWorker(lambda$getReplicationRunnable$5):338 - Schema validation errors found for stream cargillspeed_voyagelegfinalstats. Error messages: [$.departure_port_id is of an incorrect type. Expected it to be string, $.arrival_port_id is of an incorrect type. Expected it to be string]
2022-07-12 17:21:51 WARN i.a.w.g.DefaultReplicationWorker(lambda$getReplicationRunnable$5):338 - Schema validation errors found for stream cargillspeed_speedplaninputviapoint. Error messages: [$.arrival_date is of an incorrect type. Expected it to be string, $.port_id is of an incorrect type. Expected it to be string, $.wait_time is of an incorrect type. Expected it to be string]
2022-07-12 17:21:51 WARN i.a.w.g.DefaultReplicationWorker(lambda$getReplicationRunnable$5):338 - Schema validation errors found for stream teekayspeed_voyagelegstatus. Error messages: [$.deleted_at is of an incorrect type. Expected it to be string]
2022-07-12 17:21:51 WARN i.a.w.g.DefaultReplicationWorker(lambda$getReplicationRunnable$5):338 - Schema validation errors found for stream cargillspeed_speedvoyageleg. Error messages: [$.aborted_reason is of an incorrect type. Expected it to be string, $.aborted_time is of an incorrect type. Expected it to be string, $.aborted_user_id is of an incorrect type. Expected it to be number]
2022-07-12 17:21:51 WARN i.a.w.g.DefaultReplicationWorker(lambda$getReplicationRunnable$5):338 - Schema validation errors found for stream mtspeed_speedvoyagelegmetrics. Error messages: [$.replaced_after_hours is of an incorrect type. Expected it to be number]
2022-07-12 17:21:51 WARN i.a.w.g.DefaultReplicationWorker(lambda$getReplicationRunnable$5):338 - Schema validation errors found for stream teekayspeed_speedplaninputviapoint. Error messages: [$.arrival_date is of an incorrect type. Expected it to be string, $.port_id is of an incorrect type. Expected it to be string, $.wait_time is of an incorrect type. Expected it to be string]
2022-07-12 17:21:51 WARN i.a.w.g.DefaultReplicationWorker(lambda$getReplicationRunnable$5):338 - Schema validation errors found for stream teekayspeed_speedvoyagelegmetrics. Error messages: [$.replaced_after_hours is of an incorrect type. Expected it to be number]
2022-07-12 17:21:51 WARN i.a.w.g.DefaultReplicationWorker(lambda$getReplicationRunnable$5):338 - Schema validation errors found for stream mtspeed_speednotification. Error messages: [$.action_user_id is of an incorrect type. Expected it to be number, $.action_type is of an incorrect type. Expected it to be string, $.notification_status is of an incorrect type. Expected it to be string, $.action_date is of an incorrect type. Expected it to be string, $.notification_status_date is of an incorrect type. Expected it to be string, $.dismissed_comment is of an incorrect type. Expected it to be string, $.voyage_leg_id is of an incorrect type. Expected it to be number, $.notification_status_user_id is of an incorrect type. Expected it to be number, $.dismissed_reason is of an incorrect type. Expected it to be string]
2022-07-12 17:21:51 INFO i.a.w.g.DefaultReplicationWorker(run):174 - One of source or destination thread complete. Waiting on the other.
2022-07-12 17:22:15 destination > 2022-07-12 17:22:15 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):195 - Copying stream simbunker_quantificationbaselinespeed of schema cargill into tmp table _airbyte_tmp_eub_simbunker_quantificationbaselinespeed to final table _airbyte_raw_simbunker_quantificationbaselinespeed from stage path 2022/07/12/14/4D7738BD-18CD-45EE-89C4-AEF144630ABD/ with 0 file(s) []
2022-07-12 17:22:17 destination > 2022-07-12 17:22:17 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):195 - Copying stream simbunker_speedorder of schema mt into tmp table _airbyte_tmp_uof_simbunker_speedorder to final table _airbyte_raw_simbunker_speedorder from stage path 2022/07/12/14/4D7738BD-18CD-45EE-89C4-AEF144630ABD/ with 1 file(s) [212e0ad1-c899-4628-8a9c-ccb179d985bb7784885063663632541.csv.gz]
2022-07-12 17:22:29 destination > 2022-07-12 17:22:29 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):195 - Copying stream simbunker_speedorder of schema teekay into tmp table _airbyte_tmp_pjl_simbunker_speedorder to final table _airbyte_raw_simbunker_speedorder from stage path 2022/07/12/14/4D7738BD-18CD-45EE-89C4-AEF144630ABD/ with 0 file(s) []
2022-07-12 17:22:30 destination > 2022-07-12 17:22:30 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):195 - Copying stream simbunker_speedorder of schema cargill into tmp table _airbyte_tmp_lmg_simbunker_speedorder to final table _airbyte_raw_simbunker_speedorder from stage path 2022/07/12/14/4D7738BD-18CD-45EE-89C4-AEF144630ABD/ with 0 file(s) []
2022-07-12 17:22:32 destination > 2022-07-12 17:22:32 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):195 - Copying stream simbunker_speedresponse of schema mt into tmp table _airbyte_tmp_qbq_simbunker_speedresponse to final table _airbyte_raw_simbunker_speedresponse from stage path 2022/07/12/14/4D7738BD-18CD-45EE-89C4-AEF144630ABD/ with 1 file(s) [eed8b67b-e030-470c-9077-afde4729eb242528649997083935532.csv.gz]
2022-07-12 17:22:46 destination > 2022-07-12 17:22:46 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):195 - Copying stream simbunker_speedresponse of schema teekay into tmp table _airbyte_tmp_qhr_simbunker_speedresponse to final table _airbyte_raw_simbunker_speedresponse from stage path 2022/07/12/14/4D7738BD-18CD-45EE-89C4-AEF144630ABD/ with 0 file(s) []
2022-07-12 17:22:48 destination > 2022-07-12 17:22:48 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):195 - Copying stream simbunker_speedresponse of schema cargill into tmp table _airbyte_tmp_jfk_simbunker_speedresponse to final table _airbyte_raw_simbunker_speedresponse from stage path 2022/07/12/14/4D7738BD-18CD-45EE-89C4-AEF144630ABD/ with 1 file(s) [e9de5506-ab2c-4303-97f1-7e8fca0c73f37191077631545723801.csv.gz]
2022-07-12 17:23:04 destination > 2022-07-12 17:23:04 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):195 - Copying stream speed_assumesegmentconsumption of schema mt into tmp table _airbyte_tmp_hfo_speed_assumesegmentconsumption to final table _airbyte_raw_speed_assumesegmentconsumption from stage path 2022/07/12/14/4D7738BD-18CD-45EE-89C4-AEF144630ABD/ with 1 file(s) [3902c586-545b-4f6f-8c8f-e3a6d68485ec1484984005404828373.csv.gz]
2022-07-12 17:23:07 destination > 2022-07-12 17:23:07 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):195 - Copying stream speed_assumesegmentconsumption of schema teekay into tmp table _airbyte_tmp_sbe_speed_assumesegmentconsumption to final table _airbyte_raw_speed_assumesegmentconsumption from stage path 2022/07/12/14/4D7738BD-18CD-45EE-89C4-AEF144630ABD/ with 0 file(s) []
2022-07-12 17:23:07 destination > 2022-07-12 17:23:07 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):195 - Copying stream speed_assumesegmentconsumption of schema cargill into tmp table _airbyte_tmp_rko_speed_assumesegmentconsumption to final table _airbyte_raw_speed_assumesegmentconsumption from stage path 2022/07/12/14/4D7738BD-18CD-45EE-89C4-AEF144630ABD/ with 1 file(s) [eb483feb-ad9b-4b73-b73e-b50458bd03f42026347070529119327.csv.gz]
2022-07-12 17:23:08 destination > 2022-07-12 17:23:08 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):195 - Copying stream speed_scheduledoptimizationresult of schema mt into tmp table _airbyte_tmp_dyd_speed_scheduledoptimizationresult to final table _airbyte_raw_speed_scheduledoptimizationresult from stage path 2022/07/12/14/4D7738BD-18CD-45EE-89C4-AEF144630ABD/ with 1 file(s) [9b53a448-609c-4a78-a4f4-ecbaec65ea8b18058166657961564524.csv.gz]
2022-07-12 17:23:12 destination > 2022-07-12 17:23:12 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):195 - Copying stream speed_scheduledoptimizationresult of schema teekay into tmp table _airbyte_tmp_tvf_speed_scheduledoptimizationresult to final table _airbyte_raw_speed_scheduledoptimizationresult from stage path 2022/07/12/14/4D7738BD-18CD-45EE-89C4-AEF144630ABD/ with 1 file(s) [e39a87d6-e693-47a4-81ed-87010e61d3cd6990984863823708215.csv.gz]
2022-07-12 17:23:13 destination > 2022-07-12 17:23:13 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):195 - Copying stream speed_scheduledoptimizationresult of schema cargill into tmp table _airbyte_tmp_eap_speed_scheduledoptimizationresult to final table _airbyte_raw_speed_scheduledoptimizationresult from stage path 2022/07/12/14/4D7738BD-18CD-45EE-89C4-AEF144630ABD/ with 1 file(s) [4b711bdc-64fe-49a6-9f21-b168b4766e659983457352487418159.csv.gz]
2022-07-12 17:23:15 destination > 2022-07-12 17:23:15 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):195 - Copying stream speed_snoozevessel of schema mt into tmp table _airbyte_tmp_bqx_speed_snoozevessel to final table _airbyte_raw_speed_snoozevessel from stage path 2022/07/12/14/4D7738BD-18CD-45EE-89C4-AEF144630ABD/ with 2 file(s) [37c83d5a-e918-4dd6-a94b-08092bc5601f647346675146950178.csv.gz,c49e9f98-ac44-4f46-82a6-c9791b24bf8510349135453869864402.csv.gz]
2022-07-12 17:23:17 destination > 2022-07-12 17:23:17 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):195 - Copying stream speed_snoozevessel of schema teekay into tmp table _airbyte_tmp_isw_speed_snoozevessel to final table _airbyte_raw_speed_snoozevessel from stage path 2022/07/12/14/4D7738BD-18CD-45EE-89C4-AEF144630ABD/ with 1 file(s) [f191afcb-ab9d-4536-9104-861b6c761b7212764940159225007843.csv.gz]
2022-07-12 17:23:17 destination > 2022-07-12 17:23:17 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):195 - Copying stream speed_snoozevessel of schema cargill into tmp table _airbyte_tmp_mqz_speed_snoozevessel to final table _airbyte_raw_speed_snoozevessel from stage path 2022/07/12/14/4D7738BD-18CD-45EE-89C4-AEF144630ABD/ with 1 file(s) [5f9ba86c-660a-47f7-b7de-6f098372d5f64196977444476043512.csv.gz]
2022-07-12 17:23:19 destination > 2022-07-12 17:23:19 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):195 - Copying stream speed_speednotification of schema mt into tmp table _airbyte_tmp_bdr_speed_speednotification to final table _airbyte_raw_speed_speednotification from stage path 2022/07/12/14/4D7738BD-18CD-45EE-89C4-AEF144630ABD/ with 1 file(s) [81c16894-cb32-4e51-a839-452d5da96c675302011679342561634.csv.gz]
2022-07-12 17:23:25 destination > 2022-07-12 17:23:25 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):195 - Copying stream speed_speednotification of schema teekay into tmp table _airbyte_tmp_pia_speed_speednotification to final table _airbyte_raw_speed_speednotification from stage path 2022/07/12/14/4D7738BD-18CD-45EE-89C4-AEF144630ABD/ with 1 file(s) [b28c5dd2-78b8-4c91-9152-dd707c5203a47060504992547869302.csv.gz]
2022-07-12 17:23:26 destination > 2022-07-12 17:23:26 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):195 - Copying stream speed_speednotification of schema cargill into tmp table _airbyte_tmp_mrd_speed_speednotification to final table _airbyte_raw_speed_speednotification from stage path 2022/07/12/14/4D7738BD-18CD-45EE-89C4-AEF144630ABD/ with 1 file(s) [f446c41a-3da7-44c8-9307-f556e8ddaafb4455882679446715529.csv.gz]
2022-07-12 17:23:32 destination > 2022-07-12 17:23:32 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):195 - Copying stream speed_speedplan of schema mt into tmp table _airbyte_tmp_zev_speed_speedplan to final table _airbyte_raw_speed_speedplan from stage path 2022/07/12/14/4D7738BD-18CD-45EE-89C4-AEF144630ABD/ with 1 file(s) [be8d691d-96fa-441c-a0b3-dd036fa7593d14923072568660984644.csv.gz]
2022-07-12 17:24:07 destination > 2022-07-12 17:24:07 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):195 - Copying stream speed_speedplan of schema teekay into tmp table _airbyte_tmp_etl_speed_speedplan to final table _airbyte_raw_speed_speedplan from stage path 2022/07/12/14/4D7738BD-18CD-45EE-89C4-AEF144630ABD/ with 1 file(s) [cd3458c1-7c53-49e3-a871-15500f0bc5cf1316295231996176367.csv.gz]
2022-07-12 17:24:14 destination > 2022-07-12 17:24:14 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):195 - Copying stream speed_speedplan of schema cargill into tmp table _airbyte_tmp_opd_speed_speedplan to final table _airbyte_raw_speed_speedplan from stage path 2022/07/12/14/4D7738BD-18CD-45EE-89C4-AEF144630ABD/ with 1 file(s) [b85fa79e-fdd6-42ce-8ded-f7342c0584a41252515546772106589.csv.gz]
2022-07-12 17:24:54 destination > 2022-07-12 17:24:54 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):195 - Copying stream speed_speedplaninput of schema mt into tmp table _airbyte_tmp_kzb_speed_speedplaninput to final table _airbyte_raw_speed_speedplaninput from stage path 2022/07/12/14/4D7738BD-18CD-45EE-89C4-AEF144630ABD/ with 2 file(s) [76ad5acc-0773-4362-9900-0bf7e610bbe713171893015574135558.csv.gz,c24c2914-f073-4bd4-b08d-387aad3f46a95898166072143111192.csv.gz]
2022-07-12 17:25:17 destination > 2022-07-12 17:25:17 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):195 - Copying stream speed_speedplaninput of schema teekay into tmp table _airbyte_tmp_mev_speed_speedplaninput to final table _airbyte_raw_speed_speedplaninput from stage path 2022/07/12/14/4D7738BD-18CD-45EE-89C4-AEF144630ABD/ with 1 file(s) [fc16ec21-34c2-4cbc-a75d-40a2e86005939407258661688253789.csv.gz]
2022-07-12 17:25:22 destination > 2022-07-12 17:25:22 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):195 - Copying stream speed_speedplaninput of schema cargill into tmp table _airbyte_tmp_cxs_speed_speedplaninput to final table _airbyte_raw_speed_speedplaninput from stage path 2022/07/12/14/4D7738BD-18CD-45EE-89C4-AEF144630ABD/ with 1 file(s) [4291d262-b540-4e0f-bc17-c9fe11ef030d17494093962570984323.csv.gz]
2022-07-12 17:25:56 destination > 2022-07-12 17:25:56 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):195 - Copying stream speed_speedplaninputviapoint of schema mt into tmp table _airbyte_tmp_crp_speed_speedplaninputviapoint to final table _airbyte_raw_speed_speedplaninputviapoint from stage path 2022/07/12/14/4D7738BD-18CD-45EE-89C4-AEF144630ABD/ with 1 file(s) [64465fa3-c8b4-4e3f-b533-e85118e0dd4713058736627474000866.csv.gz]
2022-07-12 17:25:59 destination > 2022-07-12 17:25:59 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):195 - Copying stream speed_speedplaninputviapoint of schema teekay into tmp table _airbyte_tmp_xwq_speed_speedplaninputviapoint to final table _airbyte_raw_speed_speedplaninputviapoint from stage path 2022/07/12/14/4D7738BD-18CD-45EE-89C4-AEF144630ABD/ with 1 file(s) [5d9b5707-2e4f-45ff-956c-27ade2dcaccb4016148923554900018.csv.gz]
2022-07-12 17:26:02 destination > 2022-07-12 17:26:02 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):195 - Copying stream speed_speedplaninputviapoint of schema cargill into tmp table _airbyte_tmp_kdi_speed_speedplaninputviapoint to final table _airbyte_raw_speed_speedplaninputviapoint from stage path 2022/07/12/14/4D7738BD-18CD-45EE-89C4-AEF144630ABD/ with 1 file(s) [5f64b711-0386-4ca3-8a64-bb3b25754bdb3213760490518715782.csv.gz]
2022-07-12 17:26:07 destination > 2022-07-12 17:26:07 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):195 - Copying stream speed_speedplansegment of schema mt into tmp table _airbyte_tmp_iah_speed_speedplansegment to final table _airbyte_raw_speed_speedplansegment from stage path 2022/07/12/14/4D7738BD-18CD-45EE-89C4-AEF144630ABD/ with 10 file(s) [7b0050be-fb9e-460e-8d6e-f7137836956c6118213004671467802.csv.gz,ec067e96-33c5-4851-b38c-8c8cfd97d5848418003452808280362.csv.gz,95102099-b433-4e2a-acbb-8b09d13aadb92580115877259693593.csv.gz,428e5d90-488d-4a1a-9d62-72bf6283254a7094215679122002123.csv.gz,5f082385-5d54-4a31-8e63-c63369a1554012443948011347445958.csv.gz,e91b8dbc-4b17-4707-8826-1171d2cd0e6711614542779789037067.csv.gz,00ff7cb9-5b4f-4b22-9116-14a3957c064216650053235146157973.csv.gz,0cb32ea5-ec84-4341-897f-fa7b482931a82804810447802713435.csv.gz,d16a6aee-1975-4c81-8629-1968b699e7b82247557684801281136.csv.gz,f177d2a5-bf5c-465f-abcf-f9c1278d96713998334660738084873.csv.gz]
2022-07-12 17:27:04 destination > 2022-07-12 17:27:04 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):195 - Copying stream speed_speedplansegment of schema teekay into tmp table _airbyte_tmp_ldk_speed_speedplansegment to final table _airbyte_raw_speed_speedplansegment from stage path 2022/07/12/14/4D7738BD-18CD-45EE-89C4-AEF144630ABD/ with 2 file(s) [b519705f-382e-42d0-b7dd-1a752a02cac8317090517922020357.csv.gz,aa849d34-bda5-40d5-9ce0-0be3e1cfb8cf3422485033212763042.csv.gz]
2022-07-12 17:27:44 destination > 2022-07-12 17:27:44 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):195 - Copying stream speed_speedplansegment of schema cargill into tmp table _airbyte_tmp_pao_speed_speedplansegment to final table _airbyte_raw_speed_speedplansegment from stage path 2022/07/12/14/4D7738BD-18CD-45EE-89C4-AEF144630ABD/ with 17 file(s) [b5e31bbc-0612-407d-8d14-75740054c8c67498683128874557636.csv.gz,fec2568a-a6ab-448a-99a6-300ecabc8f606821957601794691786.csv.gz,f4ae7230-9b6b-4025-9195-96af7c67c40b9114109955795699818.csv.gz,7bece27b-a859-445d-b9d2-398e9340e5033382958890172548272.csv.gz,195e00a9-9a6f-4fdb-8e55-3b98de21779313196587840695424019.csv.gz,06e8ec4e-0cf3-4b1e-9081-4af18d1a1bd616059504839523403850.csv.gz,a9d9c0b2-4e0d-4fdf-a4c2-51cfffeff9e47267676473543298974.csv.gz,669d6db2-29c1-4c5d-89f1-b586e25776599427010349975827496.csv.gz,12fea5ac-334c-4b35-8ff5-4be8c634eebb13070837223422915479.csv.gz,5b4858eb-6a09-49fd-ae75-d0780a94b33b15739543032071396084.csv.gz,aec96537-f46a-4c55-a367-79aa74c288184315735328062354942.csv.gz,d7e76f69-3ec3-4cfa-9462-34d00c9999c76194288207529805449.csv.gz,28e46d21-a5b6-42d6-b2b4-5c604886ad9d15624212814875956985.csv.gz,ca7ef978-af8e-4170-9776-f421ee9413ed18436847239871173057.csv.gz,6fd1ac16-1c31-4fae-9881-7ac513f72e4210479952510072673265.csv.gz,c9303cbc-ccda-4869-a110-a95cf13137ef16039997254019815294.csv.gz,241c51fe-8f7a-4f88-84ca-8f6a38eb242b182690366934961399.csv.gz]
2022-07-12 17:29:17 destination > 2022-07-12 17:29:16 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):195 - Copying stream speed_speedplanwarrantedspeed of schema mt into tmp table _airbyte_tmp_zit_speed_speedplanwarrantedspeed to final table _airbyte_raw_speed_speedplanwarrantedspeed from stage path 2022/07/12/14/4D7738BD-18CD-45EE-89C4-AEF144630ABD/ with 2 file(s) [34645a32-88ef-45ef-8052-40c5f75d372f229927157164217582.csv.gz,d77e727d-4515-4e8c-b3cf-7e22c17eaeb416070366854617035962.csv.gz]
2022-07-12 17:29:26 destination > 2022-07-12 17:29:26 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):195 - Copying stream speed_speedplanwarrantedspeed of schema teekay into tmp table _airbyte_tmp_yth_speed_speedplanwarrantedspeed to final table _airbyte_raw_speed_speedplanwarrantedspeed from stage path 2022/07/12/14/4D7738BD-18CD-45EE-89C4-AEF144630ABD/ with 1 file(s) [34771f25-3659-4548-ab72-c2054f2bb31414183604199853327629.csv.gz]
2022-07-12 17:29:30 destination > 2022-07-12 17:29:30 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):195 - Copying stream speed_speedplanwarrantedspeed of schema cargill into tmp table _airbyte_tmp_puq_speed_speedplanwarrantedspeed to final table _airbyte_raw_speed_speedplanwarrantedspeed from stage path 2022/07/12/14/4D7738BD-18CD-45EE-89C4-AEF144630ABD/ with 1 file(s) [93a2baca-e161-4ddc-b9a8-90e82ed0814f5827956629364379851.csv.gz]
2022-07-12 17:29:33 destination > 2022-07-12 17:29:33 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):195 - Copying stream speed_speedvoyageleg of schema mt into tmp table _airbyte_tmp_xap_speed_speedvoyageleg to final table _airbyte_raw_speed_speedvoyageleg from stage path 2022/07/12/14/4D7738BD-18CD-45EE-89C4-AEF144630ABD/ with 1 file(s) [ccefda7b-7560-4d36-afdf-cbb2ccf741c517670606577183584287.csv.gz]
2022-07-12 17:29:34 destination > 2022-07-12 17:29:34 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):195 - Copying stream speed_speedvoyageleg of schema teekay into tmp table _airbyte_tmp_nbv_speed_speedvoyageleg to final table _airbyte_raw_speed_speedvoyageleg from stage path 2022/07/12/14/4D7738BD-18CD-45EE-89C4-AEF144630ABD/ with 1 file(s) [88e52d95-56ce-4388-a124-34b84b65226b7327866022118174629.csv.gz]
2022-07-12 17:29:37 destination > 2022-07-12 17:29:37 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):195 - Copying stream speed_speedvoyageleg of schema cargill into tmp table _airbyte_tmp_ggl_speed_speedvoyageleg to final table _airbyte_raw_speed_speedvoyageleg from stage path 2022/07/12/14/4D7738BD-18CD-45EE-89C4-AEF144630ABD/ with 1 file(s) [4d32331e-ed88-4c67-a2ef-6ff7f3b991af303828896420246259.csv.gz]
2022-07-12 17:29:39 destination > 2022-07-12 17:29:39 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):195 - Copying stream speed_speedvoyagelegmetrics of schema mt into tmp table _airbyte_tmp_cwe_speed_speedvoyagelegmetrics to final table _airbyte_raw_speed_speedvoyagelegmetrics from stage path 2022/07/12/14/4D7738BD-18CD-45EE-89C4-AEF144630ABD/ with 1 file(s) [0430ba18-7dbb-496d-a389-1f6bdf34eca111137826856655303057.csv.gz]
2022-07-12 17:29:42 destination > 2022-07-12 17:29:42 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):195 - Copying stream speed_speedvoyagelegmetrics of schema teekay into tmp table _airbyte_tmp_bsw_speed_speedvoyagelegmetrics to final table _airbyte_raw_speed_speedvoyagelegmetrics from stage path 2022/07/12/14/4D7738BD-18CD-45EE-89C4-AEF144630ABD/ with 1 file(s) [243d7533-7cef-4ca2-a17f-354a91f738024469860378608241271.csv.gz]
2022-07-12 17:29:43 destination > 2022-07-12 17:29:43 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):195 - Copying stream speed_speedvoyagelegmetrics of schema cargill into tmp table _airbyte_tmp_urj_speed_speedvoyagelegmetrics to final table _airbyte_raw_speed_speedvoyagelegmetrics from stage path 2022/07/12/14/4D7738BD-18CD-45EE-89C4-AEF144630ABD/ with 1 file(s) [9a38b640-b659-49be-8155-4dc5040ddf097316060575635980274.csv.gz]
2022-07-12 17:29:47 destination > 2022-07-12 17:29:47 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):195 - Copying stream speed_uservessel of schema mt into tmp table _airbyte_tmp_kce_speed_uservessel to final table _airbyte_raw_speed_uservessel from stage path 2022/07/12/14/4D7738BD-18CD-45EE-89C4-AEF144630ABD/ with 2 file(s) [c7018daf-b6e4-4e9c-a0ab-e2c74410284e5388356983854622040.csv.gz,2d36b68c-042f-4d0d-94ad-b0bcc9925a0715011492330563880487.csv.gz]
2022-07-12 17:29:48 destination > 2022-07-12 17:29:48 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):195 - Copying stream speed_uservessel of schema teekay into tmp table _airbyte_tmp_gpa_speed_uservessel to final table _airbyte_raw_speed_uservessel from stage path 2022/07/12/14/4D7738BD-18CD-45EE-89C4-AEF144630ABD/ with 1 file(s) [fd273e1d-a5e1-463e-bd75-e02c1af26f0f11701984699032253182.csv.gz]
2022-07-12 17:29:50 destination > 2022-07-12 17:29:50 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):195 - Copying stream speed_uservessel of schema cargill into tmp table _airbyte_tmp_rnf_speed_uservessel to final table _airbyte_raw_speed_uservessel from stage path 2022/07/12/14/4D7738BD-18CD-45EE-89C4-AEF144630ABD/ with 1 file(s) [08fe82c6-3250-4247-96c2-53dae3be913d3974628640863625719.csv.gz]
2022-07-12 17:29:53 destination > 2022-07-12 17:29:53 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):195 - Copying stream speed_vesselspeedprofile of schema mt into tmp table _airbyte_tmp_ila_speed_vesselspeedprofile to final table _airbyte_raw_speed_vesselspeedprofile from stage path 2022/07/12/14/4D7738BD-18CD-45EE-89C4-AEF144630ABD/ with 1 file(s) [f41f9063-e54a-4fb6-8983-db8628aa990a1124932471290932595.csv.gz]
2022-07-12 17:29:54 destination > 2022-07-12 17:29:54 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):195 - Copying stream speed_vesselspeedprofile of schema teekay into tmp table _airbyte_tmp_iev_speed_vesselspeedprofile to final table _airbyte_raw_speed_vesselspeedprofile from stage path 2022/07/12/14/4D7738BD-18CD-45EE-89C4-AEF144630ABD/ with 1 file(s) [b6e402ef-4beb-4075-81fc-4db7d24f1b6c514512229738494428.csv.gz]
2022-07-12 17:29:55 destination > 2022-07-12 17:29:55 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):195 - Copying stream speed_vesselspeedprofile of schema cargill into tmp table _airbyte_tmp_lla_speed_vesselspeedprofile to final table _airbyte_raw_speed_vesselspeedprofile from stage path 2022/07/12/14/4D7738BD-18CD-45EE-89C4-AEF144630ABD/ with 1 file(s) [d78e72c6-f520-489d-b399-21c1d330e24910550951909601670221.csv.gz]
2022-07-12 17:29:56 destination > 2022-07-12 17:29:56 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):195 - Copying stream speed_voyagelegfinalstats of schema mt into tmp table _airbyte_tmp_gfv_speed_voyagelegfinalstats to final table _airbyte_raw_speed_voyagelegfinalstats from stage path 2022/07/12/14/4D7738BD-18CD-45EE-89C4-AEF144630ABD/ with 1 file(s) [c3502056-5cf9-4e7f-9ce7-91d8e97833d57631638731670882494.csv.gz]
2022-07-12 17:29:57 destination > 2022-07-12 17:29:57 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):195 - Copying stream speed_voyagelegfinalstats of schema teekay into tmp table _airbyte_tmp_owe_speed_voyagelegfinalstats to final table _airbyte_raw_speed_voyagelegfinalstats from stage path 2022/07/12/14/4D7738BD-18CD-45EE-89C4-AEF144630ABD/ with 1 file(s) [c3f8563f-55d0-4153-b03d-bb8c505fd24113474947471554533985.csv.gz]
2022-07-12 17:29:58 destination > 2022-07-12 17:29:58 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):195 - Copying stream speed_voyagelegfinalstats of schema cargill into tmp table _airbyte_tmp_wgu_speed_voyagelegfinalstats to final table _airbyte_raw_speed_voyagelegfinalstats from stage path 2022/07/12/14/4D7738BD-18CD-45EE-89C4-AEF144630ABD/ with 1 file(s) [4df1266a-9d9c-47e4-bd64-5aa760342c183814633484960026192.csv.gz]
2022-07-12 17:30:01 destination > 2022-07-12 17:30:01 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):195 - Copying stream speed_voyagelegstatus of schema mt into tmp table _airbyte_tmp_htj_speed_voyagelegstatus to final table _airbyte_raw_speed_voyagelegstatus from stage path 2022/07/12/14/4D7738BD-18CD-45EE-89C4-AEF144630ABD/ with 3 file(s) [2e87642d-55b4-4478-8313-f6df1b4b7b891411315785345585572.csv.gz,e1ce365b-23eb-45fc-abe2-90c88b5a60b111047764616139779293.csv.gz,304b2a87-3b21-4d74-9d52-eb4ae18d6779525965508819549219.csv.gz]
2022-07-12 17:30:47 destination > 2022-07-12 17:30:47 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):195 - Copying stream speed_voyagelegstatus of schema teekay into tmp table _airbyte_tmp_pid_speed_voyagelegstatus to final table _airbyte_raw_speed_voyagelegstatus from stage path 2022/07/12/14/4D7738BD-18CD-45EE-89C4-AEF144630ABD/ with 1 file(s) [4d98c07b-b3fe-486f-94f7-f718bcc49c9812103054341367735620.csv.gz]
2022-07-12 17:30:58 destination > 2022-07-12 17:30:58 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):195 - Copying stream speed_voyagelegstatus of schema cargill into tmp table _airbyte_tmp_pdd_speed_voyagelegstatus to final table _airbyte_raw_speed_voyagelegstatus from stage path 2022/07/12/14/4D7738BD-18CD-45EE-89C4-AEF144630ABD/ with 3 file(s) [9ee15f9d-d7fe-407b-9cfd-90d77ddb65a6594453347092164322.csv.gz,008bf67b-f69f-430a-b286-0a2399dc090315564927508102414763.csv.gz,6bb7613b-3469-4e66-b941-a46fe2856ba414521656997804541706.csv.gz]
2022-07-12 17:31:52 destination > 2022-07-12 17:31:52 INFO i.a.i.d.j.SqlOperations(onDestinationCloseOperations):137 - No onDestinationCloseOperations required for this destination.
2022-07-12 17:31:52 destination > 2022-07-12 17:31:52 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):216 - Executing finalization of tables.
2022-07-12 17:34:19 destination > 2022-07-12 17:34:19 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):218 - Finalizing tables in destination completed.
2022-07-12 17:34:19 destination > 2022-07-12 17:34:19 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):220 - Cleaning up destination started for 54 streams
2022-07-12 17:34:19 destination > 2022-07-12 17:34:19 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):224 - Cleaning tmp table in destination started for stream simbunker_quantificationbaselinespeed. schema mt, tmp table name: _airbyte_tmp_rjw_simbunker_quantificationbaselinespeed
2022-07-12 17:34:19 destination > 2022-07-12 17:34:19 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):230 - Cleaning stage in destination started for stream simbunker_quantificationbaselinespeed. schema mt, stage: MT_SIMBUNKER_QUANTIFICATIONBASELINESPEED
2022-07-12 17:34:23 destination > 2022-07-12 17:34:23 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):224 - Cleaning tmp table in destination started for stream simbunker_quantificationbaselinespeed. schema teekay, tmp table name: _airbyte_tmp_cmk_simbunker_quantificationbaselinespeed
2022-07-12 17:34:24 destination > 2022-07-12 17:34:24 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):230 - Cleaning stage in destination started for stream simbunker_quantificationbaselinespeed. schema teekay, stage: TEEKAY_SIMBUNKER_QUANTIFICATIONBASELINESPEED
2022-07-12 17:34:25 destination > 2022-07-12 17:34:25 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):224 - Cleaning tmp table in destination started for stream simbunker_quantificationbaselinespeed. schema cargill, tmp table name: _airbyte_tmp_eub_simbunker_quantificationbaselinespeed
2022-07-12 17:34:28 destination > 2022-07-12 17:34:28 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):230 - Cleaning stage in destination started for stream simbunker_quantificationbaselinespeed. schema cargill, stage: CARGILL_SIMBUNKER_QUANTIFICATIONBASELINESPEED
2022-07-12 17:34:31 destination > 2022-07-12 17:34:31 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):224 - Cleaning tmp table in destination started for stream simbunker_speedorder. schema mt, tmp table name: _airbyte_tmp_uof_simbunker_speedorder
2022-07-12 17:34:32 destination > 2022-07-12 17:34:32 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):230 - Cleaning stage in destination started for stream simbunker_speedorder. schema mt, stage: MT_SIMBUNKER_SPEEDORDER
2022-07-12 17:34:33 destination > 2022-07-12 17:34:33 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):224 - Cleaning tmp table in destination started for stream simbunker_speedorder. schema teekay, tmp table name: _airbyte_tmp_pjl_simbunker_speedorder
2022-07-12 17:34:34 destination > 2022-07-12 17:34:34 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):230 - Cleaning stage in destination started for stream simbunker_speedorder. schema teekay, stage: TEEKAY_SIMBUNKER_SPEEDORDER
2022-07-12 17:34:34 destination > 2022-07-12 17:34:34 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):224 - Cleaning tmp table in destination started for stream simbunker_speedorder. schema cargill, tmp table name: _airbyte_tmp_lmg_simbunker_speedorder
2022-07-12 17:34:34 destination > 2022-07-12 17:34:34 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):230 - Cleaning stage in destination started for stream simbunker_speedorder. schema cargill, stage: CARGILL_SIMBUNKER_SPEEDORDER
2022-07-12 17:34:35 destination > 2022-07-12 17:34:35 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):224 - Cleaning tmp table in destination started for stream simbunker_speedresponse. schema mt, tmp table name: _airbyte_tmp_qbq_simbunker_speedresponse
2022-07-12 17:34:41 destination > 2022-07-12 17:34:41 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):230 - Cleaning stage in destination started for stream simbunker_speedresponse. schema mt, stage: MT_SIMBUNKER_SPEEDRESPONSE
2022-07-12 17:34:42 destination > 2022-07-12 17:34:42 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):224 - Cleaning tmp table in destination started for stream simbunker_speedresponse. schema teekay, tmp table name: _airbyte_tmp_qhr_simbunker_speedresponse
2022-07-12 17:34:43 destination > 2022-07-12 17:34:43 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):230 - Cleaning stage in destination started for stream simbunker_speedresponse. schema teekay, stage: TEEKAY_SIMBUNKER_SPEEDRESPONSE
2022-07-12 17:34:43 destination > 2022-07-12 17:34:43 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):224 - Cleaning tmp table in destination started for stream simbunker_speedresponse. schema cargill, tmp table name: _airbyte_tmp_jfk_simbunker_speedresponse
2022-07-12 17:34:48 destination > 2022-07-12 17:34:48 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):230 - Cleaning stage in destination started for stream simbunker_speedresponse. schema cargill, stage: CARGILL_SIMBUNKER_SPEEDRESPONSE
2022-07-12 17:34:48 destination > 2022-07-12 17:34:48 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):224 - Cleaning tmp table in destination started for stream speed_assumesegmentconsumption. schema mt, tmp table name: _airbyte_tmp_hfo_speed_assumesegmentconsumption
2022-07-12 17:34:49 destination > 2022-07-12 17:34:49 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):230 - Cleaning stage in destination started for stream speed_assumesegmentconsumption. schema mt, stage: MT_SPEED_ASSUMESEGMENTCONSUMPTION
2022-07-12 17:34:49 destination > 2022-07-12 17:34:49 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):224 - Cleaning tmp table in destination started for stream speed_assumesegmentconsumption. schema teekay, tmp table name: _airbyte_tmp_sbe_speed_assumesegmentconsumption
2022-07-12 17:34:50 destination > 2022-07-12 17:34:50 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):230 - Cleaning stage in destination started for stream speed_assumesegmentconsumption. schema teekay, stage: TEEKAY_SPEED_ASSUMESEGMENTCONSUMPTION
2022-07-12 17:34:50 destination > 2022-07-12 17:34:50 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):224 - Cleaning tmp table in destination started for stream speed_assumesegmentconsumption. schema cargill, tmp table name: _airbyte_tmp_rko_speed_assumesegmentconsumption
2022-07-12 17:34:50 destination > 2022-07-12 17:34:50 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):230 - Cleaning stage in destination started for stream speed_assumesegmentconsumption. schema cargill, stage: CARGILL_SPEED_ASSUMESEGMENTCONSUMPTION
2022-07-12 17:34:50 destination > 2022-07-12 17:34:50 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):224 - Cleaning tmp table in destination started for stream speed_scheduledoptimizationresult. schema mt, tmp table name: _airbyte_tmp_dyd_speed_scheduledoptimizationresult
2022-07-12 17:34:50 destination > 2022-07-12 17:34:50 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):230 - Cleaning stage in destination started for stream speed_scheduledoptimizationresult. schema mt, stage: MT_SPEED_SCHEDULEDOPTIMIZATIONRESULT
2022-07-12 17:34:50 destination > 2022-07-12 17:34:50 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):224 - Cleaning tmp table in destination started for stream speed_scheduledoptimizationresult. schema teekay, tmp table name: _airbyte_tmp_tvf_speed_scheduledoptimizationresult
2022-07-12 17:34:50 destination > 2022-07-12 17:34:50 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):230 - Cleaning stage in destination started for stream speed_scheduledoptimizationresult. schema teekay, stage: TEEKAY_SPEED_SCHEDULEDOPTIMIZATIONRESULT
2022-07-12 17:34:52 destination > 2022-07-12 17:34:52 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):224 - Cleaning tmp table in destination started for stream speed_scheduledoptimizationresult. schema cargill, tmp table name: _airbyte_tmp_eap_speed_scheduledoptimizationresult
2022-07-12 17:35:01 destination > 2022-07-12 17:35:01 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):230 - Cleaning stage in destination started for stream speed_scheduledoptimizationresult. schema cargill, stage: CARGILL_SPEED_SCHEDULEDOPTIMIZATIONRESULT
2022-07-12 17:35:01 destination > 2022-07-12 17:35:01 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):224 - Cleaning tmp table in destination started for stream speed_snoozevessel. schema mt, tmp table name: _airbyte_tmp_bqx_speed_snoozevessel
2022-07-12 17:35:02 destination > 2022-07-12 17:35:02 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):230 - Cleaning stage in destination started for stream speed_snoozevessel. schema mt, stage: MT_SPEED_SNOOZEVESSEL
2022-07-12 17:35:02 destination > 2022-07-12 17:35:02 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):224 - Cleaning tmp table in destination started for stream speed_snoozevessel. schema teekay, tmp table name: _airbyte_tmp_isw_speed_snoozevessel
2022-07-12 17:35:04 destination > 2022-07-12 17:35:04 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):230 - Cleaning stage in destination started for stream speed_snoozevessel. schema teekay, stage: TEEKAY_SPEED_SNOOZEVESSEL
2022-07-12 17:35:10 destination > 2022-07-12 17:35:10 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):224 - Cleaning tmp table in destination started for stream speed_snoozevessel. schema cargill, tmp table name: _airbyte_tmp_mqz_speed_snoozevessel
2022-07-12 17:35:11 destination > 2022-07-12 17:35:11 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):230 - Cleaning stage in destination started for stream speed_snoozevessel. schema cargill, stage: CARGILL_SPEED_SNOOZEVESSEL
2022-07-12 17:35:12 destination > 2022-07-12 17:35:12 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):224 - Cleaning tmp table in destination started for stream speed_speednotification. schema mt, tmp table name: _airbyte_tmp_bdr_speed_speednotification
2022-07-12 17:35:13 destination > 2022-07-12 17:35:13 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):230 - Cleaning stage in destination started for stream speed_speednotification. schema mt, stage: MT_SPEED_SPEEDNOTIFICATION
2022-07-12 17:35:14 destination > 2022-07-12 17:35:13 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):224 - Cleaning tmp table in destination started for stream speed_speednotification. schema teekay, tmp table name: _airbyte_tmp_pia_speed_speednotification
2022-07-12 17:35:15 destination > 2022-07-12 17:35:15 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):230 - Cleaning stage in destination started for stream speed_speednotification. schema teekay, stage: TEEKAY_SPEED_SPEEDNOTIFICATION
2022-07-12 17:35:15 destination > 2022-07-12 17:35:15 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):224 - Cleaning tmp table in destination started for stream speed_speednotification. schema cargill, tmp table name: _airbyte_tmp_mrd_speed_speednotification
2022-07-12 17:35:15 destination > 2022-07-12 17:35:15 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):230 - Cleaning stage in destination started for stream speed_speednotification. schema cargill, stage: CARGILL_SPEED_SPEEDNOTIFICATION
2022-07-12 17:35:16 destination > 2022-07-12 17:35:16 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):224 - Cleaning tmp table in destination started for stream speed_speedplan. schema mt, tmp table name: _airbyte_tmp_zev_speed_speedplan
2022-07-12 17:35:17 destination > 2022-07-12 17:35:17 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):230 - Cleaning stage in destination started for stream speed_speedplan. schema mt, stage: MT_SPEED_SPEEDPLAN
2022-07-12 17:35:17 destination > 2022-07-12 17:35:17 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):224 - Cleaning tmp table in destination started for stream speed_speedplan. schema teekay, tmp table name: _airbyte_tmp_etl_speed_speedplan
2022-07-12 17:35:17 destination > 2022-07-12 17:35:17 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):230 - Cleaning stage in destination started for stream speed_speedplan. schema teekay, stage: TEEKAY_SPEED_SPEEDPLAN
2022-07-12 17:35:17 destination > 2022-07-12 17:35:17 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):224 - Cleaning tmp table in destination started for stream speed_speedplan. schema cargill, tmp table name: _airbyte_tmp_opd_speed_speedplan
2022-07-12 17:35:17 destination > 2022-07-12 17:35:17 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):230 - Cleaning stage in destination started for stream speed_speedplan. schema cargill, stage: CARGILL_SPEED_SPEEDPLAN
2022-07-12 17:35:19 destination > 2022-07-12 17:35:19 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):224 - Cleaning tmp table in destination started for stream speed_speedplaninput. schema mt, tmp table name: _airbyte_tmp_kzb_speed_speedplaninput
2022-07-12 17:35:19 destination > 2022-07-12 17:35:19 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):230 - Cleaning stage in destination started for stream speed_speedplaninput. schema mt, stage: MT_SPEED_SPEEDPLANINPUT
2022-07-12 17:35:20 destination > 2022-07-12 17:35:20 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):224 - Cleaning tmp table in destination started for stream speed_speedplaninput. schema teekay, tmp table name: _airbyte_tmp_mev_speed_speedplaninput
2022-07-12 17:35:21 destination > 2022-07-12 17:35:21 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):230 - Cleaning stage in destination started for stream speed_speedplaninput. schema teekay, stage: TEEKAY_SPEED_SPEEDPLANINPUT
2022-07-12 17:35:21 destination > 2022-07-12 17:35:21 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):224 - Cleaning tmp table in destination started for stream speed_speedplaninput. schema cargill, tmp table name: _airbyte_tmp_cxs_speed_speedplaninput
2022-07-12 17:35:22 destination > 2022-07-12 17:35:22 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):230 - Cleaning stage in destination started for stream speed_speedplaninput. schema cargill, stage: CARGILL_SPEED_SPEEDPLANINPUT
2022-07-12 17:35:23 destination > 2022-07-12 17:35:23 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):224 - Cleaning tmp table in destination started for stream speed_speedplaninputviapoint. schema mt, tmp table name: _airbyte_tmp_crp_speed_speedplaninputviapoint
2022-07-12 17:35:24 destination > 2022-07-12 17:35:24 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):230 - Cleaning stage in destination started for stream speed_speedplaninputviapoint. schema mt, stage: MT_SPEED_SPEEDPLANINPUTVIAPOINT
2022-07-12 17:35:25 destination > 2022-07-12 17:35:25 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):224 - Cleaning tmp table in destination started for stream speed_speedplaninputviapoint. schema teekay, tmp table name: _airbyte_tmp_xwq_speed_speedplaninputviapoint
2022-07-12 17:35:26 destination > 2022-07-12 17:35:26 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):230 - Cleaning stage in destination started for stream speed_speedplaninputviapoint. schema teekay, stage: TEEKAY_SPEED_SPEEDPLANINPUTVIAPOINT
2022-07-12 17:35:35 destination > 2022-07-12 17:35:35 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):224 - Cleaning tmp table in destination started for stream speed_speedplaninputviapoint. schema cargill, tmp table name: _airbyte_tmp_kdi_speed_speedplaninputviapoint
2022-07-12 17:35:35 destination > 2022-07-12 17:35:35 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):230 - Cleaning stage in destination started for stream speed_speedplaninputviapoint. schema cargill, stage: CARGILL_SPEED_SPEEDPLANINPUTVIAPOINT
2022-07-12 17:35:35 destination > 2022-07-12 17:35:35 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):224 - Cleaning tmp table in destination started for stream speed_speedplansegment. schema mt, tmp table name: _airbyte_tmp_iah_speed_speedplansegment
2022-07-12 17:35:35 destination > 2022-07-12 17:35:35 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):230 - Cleaning stage in destination started for stream speed_speedplansegment. schema mt, stage: MT_SPEED_SPEEDPLANSEGMENT
2022-07-12 17:35:35 destination > 2022-07-12 17:35:35 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):224 - Cleaning tmp table in destination started for stream speed_speedplansegment. schema teekay, tmp table name: _airbyte_tmp_ldk_speed_speedplansegment
2022-07-12 17:35:36 destination > 2022-07-12 17:35:36 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):230 - Cleaning stage in destination started for stream speed_speedplansegment. schema teekay, stage: TEEKAY_SPEED_SPEEDPLANSEGMENT
2022-07-12 17:35:40 destination > 2022-07-12 17:35:40 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):224 - Cleaning tmp table in destination started for stream speed_speedplansegment. schema cargill, tmp table name: _airbyte_tmp_pao_speed_speedplansegment
2022-07-12 17:35:41 destination > 2022-07-12 17:35:41 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):230 - Cleaning stage in destination started for stream speed_speedplansegment. schema cargill, stage: CARGILL_SPEED_SPEEDPLANSEGMENT
2022-07-12 17:35:50 destination > 2022-07-12 17:35:50 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):224 - Cleaning tmp table in destination started for stream speed_speedplanwarrantedspeed. schema mt, tmp table name: _airbyte_tmp_zit_speed_speedplanwarrantedspeed
2022-07-12 17:35:50 destination > 2022-07-12 17:35:50 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):230 - Cleaning stage in destination started for stream speed_speedplanwarrantedspeed. schema mt, stage: MT_SPEED_SPEEDPLANWARRANTEDSPEED
2022-07-12 17:35:50 destination > 2022-07-12 17:35:50 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):224 - Cleaning tmp table in destination started for stream speed_speedplanwarrantedspeed. schema teekay, tmp table name: _airbyte_tmp_yth_speed_speedplanwarrantedspeed
2022-07-12 17:35:50 destination > 2022-07-12 17:35:50 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):230 - Cleaning stage in destination started for stream speed_speedplanwarrantedspeed. schema teekay, stage: TEEKAY_SPEED_SPEEDPLANWARRANTEDSPEED
2022-07-12 17:35:50 destination > 2022-07-12 17:35:50 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):224 - Cleaning tmp table in destination started for stream speed_speedplanwarrantedspeed. schema cargill, tmp table name: _airbyte_tmp_puq_speed_speedplanwarrantedspeed
2022-07-12 17:35:51 destination > 2022-07-12 17:35:51 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):230 - Cleaning stage in destination started for stream speed_speedplanwarrantedspeed. schema cargill, stage: CARGILL_SPEED_SPEEDPLANWARRANTEDSPEED
2022-07-12 17:36:04 destination > 2022-07-12 17:36:04 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):224 - Cleaning tmp table in destination started for stream speed_speedvoyageleg. schema mt, tmp table name: _airbyte_tmp_xap_speed_speedvoyageleg
2022-07-12 17:36:54 INFO i.a.w.g.DefaultReplicationWorker(lambda$getDestinationOutputRunnable$7):415 - State in DefaultReplicationWorker from destination: io.airbyte.protocol.models.AirbyteMessage@73596035[type=STATE,log=<null>,spec=<null>,connectionStatus=<null>,catalog=<null>,record=<null>,state=io.airbyte.protocol.models.AirbyteStateMessage@7497598b[type=STREAM,stream=io.airbyte.protocol.models.AirbyteStreamState@4a8d6e4[streamDescriptor=io.airbyte.protocol.models.StreamDescriptor@57e2df57[name=simbunker_quantificationbaselinespeed,namespace=cargill,additionalProperties={}],streamState={"stream_name":"simbunker_quantificationbaselinespeed","stream_namespace":"cargill","cursor_field":["updated_at"]},additionalProperties={}],global=<null>,data={"cdc":false,"streams":[{"stream_name":"simbunker_quantificationbaselinespeed","stream_namespace":"cargill","cursor_field":["updated_at"]},{"stream_name":"simbunker_quantificationbaselinespeed","stream_namespace":"mt","cursor_field":["updated_at"],"cursor":"2019-09-11T12:29:20.805733Z"},{"stream_name":"simbunker_quantificationbaselinespeed","stream_namespace":"teekay","cursor_field":["updated_at"]},{"stream_name":"simbunker_speedorder","stream_namespace":"cargill","cursor_field":["updated_at"]},{"stream_name":"simbunker_speedorder","stream_namespace":"mt","cursor_field":["updated_at"]},{"stream_name":"simbunker_speedorder","stream_namespace":"teekay","cursor_field":["updated_at"]},{"stream_name":"simbunker_speedresponse","stream_namespace":"cargill","cursor_field":["updated_at"]},{"stream_name":"simbunker_speedresponse","stream_namespace":"mt","cursor_field":["updated_at"]},{"stream_name":"simbunker_speedresponse","stream_namespace":"teekay","cursor_field":["updated_at"]},{"stream_name":"speed_assumesegmentconsumption","stream_namespace":"cargill","cursor_field":["updated_at"]},{"stream_name":"speed_assumesegmentconsumption","stream_namespace":"mt","cursor_field":["updated_at"]},{"stream_name":"speed_assumesegmentconsumption","stream_namespace":"teekay","cursor_field":["updated_at"]},{"stream_name":"speed_scheduledoptimizationresult","stream_namespace":"cargill","cursor_field":["updated_at"]},{"stream_name":"speed_scheduledoptimizationresult","stream_namespace":"mt","cursor_field":["updated_at"]},{"stream_name":"speed_scheduledoptimizationresult","stream_namespace":"teekay","cursor_field":["updated_at"]},{"stream_name":"speed_snoozevessel","stream_namespace":"cargill","cursor_field":["updated_at"]},{"stream_name":"speed_snoozevessel","stream_namespace":"mt","cursor_field":["updated_at"]},{"stream_name":"speed_snoozevessel","stream_namespace":"teekay","cursor_field":["updated_at"]},{"stream_name":"speed_speednotification","stream_namespace":"cargill","cursor_field":["updated_at"]},{"stream_name":"speed_speednotification","stream_namespace":"mt","cursor_field":["updated_at"]},{"stream_name":"speed_speednotification","stream_namespace":"teekay","cursor_field":["updated_at"]},{"stream_name":"speed_speedplan","stream_namespace":"cargill","cursor_field":["updated_at"]},{"stream_name":"speed_speedplan","stream_namespace":"mt","cursor_field":["updated_at"]},{"stream_name":"speed_speedplan","stream_namespace":"teekay","cursor_field":["updated_at"]},{"stream_name":"speed_speedplaninput","stream_namespace":"cargill","cursor_field":["updated_at"]},{"stream_name":"speed_speedplaninput","stream_namespace":"mt","cursor_field":["updated_at"]},{"stream_name":"speed_speedplaninput","stream_namespace":"teekay","cursor_field":["updated_at"]},{"stream_name":"speed_speedplaninputviapoint","stream_namespace":"cargill","cursor_field":["updated_at"]},{"stream_name":"speed_speedplaninputviapoint","stream_namespace":"mt","cursor_field":["updated_at"]},{"stream_name":"speed_speedplaninputviapoint","stream_namespace":"teekay","cursor_field":["updated_at"]},{"stream_name":"speed_speedplansegment","stream_namespace":"cargill","cursor_field":["updated_at"]},{"stream_name":"speed_speedplansegment","stream_namespace":"mt","cursor_field":["updated_at"]},{"stream_name":"speed_speedplansegment","stream_namespace":"teekay","cursor_field":["updated_at"]},{"stream_name":"speed_speedplanwarrantedspeed","stream_namespace":"cargill","cursor_field":["updated_at"]},{"stream_name":"speed_speedplanwarrantedspeed","stream_namespace":"mt","cursor_field":["updated_at"]},{"stream_name":"speed_speedplanwarrantedspeed","stream_namespace":"teekay","cursor_field":["updated_at"]},{"stream_name":"speed_speedvoyageleg","stream_namespace":"cargill","cursor_field":["updated_at"]},{"stream_name":"speed_speedvoyageleg","stream_namespace":"mt","cursor_field":["updated_at"]},{"stream_name":"speed_speedvoyageleg","stream_namespace":"teekay","cursor_field":["updated_at"]},{"stream_name":"speed_speedvoyagelegmetrics","stream_namespace":"cargill","cursor_field":["updated_at"]},{"stream_name":"speed_speedvoyagelegmetrics","stream_namespace":"mt","cursor_field":["updated_at"]},{"stream_name":"speed_speedvoyagelegmetrics","stream_namespace":"teekay","cursor_field":["updated_at"]},{"stream_name":"speed_uservessel","stream_namespace":"cargill","cursor_field":["updated_at"]},{"stream_name":"speed_uservessel","stream_namespace":"mt","cursor_field":["updated_at"]},{"stream_name":"speed_uservessel","stream_namespace":"teekay","cursor_field":["updated_at"]},{"stream_name":"speed_vesselspeedprofile","stream_namespace":"cargill","cursor_field":["updated_at"]},{"stream_name":"speed_vesselspeedprofile","stream_namespace":"mt","cursor_field":["updated_at"]},{"stream_name":"speed_vesselspeedprofile","stream_namespace":"teekay","cursor_field":["updated_at"]},{"stream_name":"speed_voyagelegfinalstats","stream_namespace":"cargill","cursor_field":["updated_at"]},{"stream_name":"speed_voyagelegfinalstats","stream_namespace":"mt","cursor_field":["updated_at"]},{"stream_name":"speed_voyagelegfinalstats","stream_namespace":"teekay","cursor_field":["updated_at"]},{"stream_name":"speed_voyagelegstatus","stream_namespace":"cargill","cursor_field":["updated_at"]},{"stream_name":"speed_voyagelegstatus","stream_namespace":"mt","cursor_field":["updated_at"]},{"stream_name":"speed_voyagelegstatus","stream_namespace":"teekay","cursor_field":["updated_at"]}]},additionalProperties={}],trace=<null>,additionalProperties={}]
2022-07-12 17:36:54 INFO i.a.w.g.DefaultReplicationWorker(lambda$getDestinationOutputRunnable$7):415 - State in DefaultReplicationWorker from destination: io.airbyte.protocol.models.AirbyteMessage@4c90d470[type=STATE,log=<null>,spec=<null>,connectionStatus=<null>,catalog=<null>,record=<null>,state=io.airbyte.protocol.models.AirbyteStateMessage@25124333[type=STREAM,stream=io.airbyte.protocol.models.AirbyteStreamState@2a10e0b9[streamDescriptor=io.airbyte.protocol.models.StreamDescriptor@20bb0bfe[name=simbunker_speedorder,namespace=cargill,additionalProperties={}],streamState={"stream_name":"simbunker_speedorder","stream_namespace":"cargill","cursor_field":["updated_at"]},additionalProperties={}],global=<null>,data={"cdc":false,"streams":[{"stream_name":"simbunker_quantificationbaselinespeed","stream_namespace":"cargill","cursor_field":["updated_at"]},{"stream_name":"simbunker_quantificationbaselinespeed","stream_namespace":"mt","cursor_field":["updated_at"],"cursor":"2019-09-11T12:29:20.805733Z"},{"stream_name":"simbunker_quantificationbaselinespeed","stream_namespace":"teekay","cursor_field":["updated_at"]},{"stream_name":"simbunker_speedorder","stream_namespace":"cargill","cursor_field":["updated_at"]},{"stream_name":"simbunker_speedorder","stream_namespace":"mt","cursor_field":["updated_at"],"cursor":"2020-04-15T08:16:07.484929Z"},{"stream_name":"simbunker_speedorder","stream_namespace":"teekay","cursor_field":["updated_at"]},{"stream_name":"simbunker_speedresponse","stream_namespace":"cargill","cursor_field":["updated_at"]},{"stream_name":"simbunker_speedresponse","stream_namespace":"mt","cursor_field":["updated_at"]},{"stream_name":"simbunker_speedresponse","stream_namespace":"teekay","cursor_field":["updated_at"]},{"stream_name":"speed_assumesegmentconsumption","stream_namespace":"cargill","cursor_field":["updated_at"]},{"stream_name":"speed_assumesegmentconsumption","stream_namespace":"mt","cursor_field":["updated_at"]},{"stream_name":"speed_assumesegmentconsumption","stream_namespace":"teekay","cursor_field":["updated_at"]},{"stream_name":"speed_scheduledoptimizationresult","stream_namespace":"cargill","cursor_field":["updated_at"]},{"stream_name":"speed_scheduledoptimizationresult","stream_namespace":"mt","cursor_field":["updated_at"]},{"stream_name":"speed_scheduledoptimizationresult","stream_namespace":"teekay","cursor_field":["updated_at"]},{"stream_name":"speed_snoozevessel","stream_namespace":"cargill","cursor_field":["updated_at"]},{"stream_name":"speed_snoozevessel","stream_namespace":"mt","cursor_field":["updated_at"]},{"stream_name":"speed_snoozevessel","stream_namespace":"teekay","cursor_field":["updated_at"]},{"stream_name":"speed_speednotification","stream_namespace":"cargill","cursor_field":["updated_at"]},{"stream_name":"speed_speednotification","stream_namespace":"mt","cursor_field":["updated_at"]},{"stream_name":"speed_speednotification","stream_namespace":"teekay","cursor_field":["updated_at"]},{"stream_name":"speed_speedplan","stream_namespace":"cargill","cursor_field":["updated_at"]},{"stream_name":"speed_speedplan","stream_namespace":"mt","cursor_field":["updated_at"]},{"stream_name":"speed_speedplan","stream_namespace":"teekay","cursor_field":["updated_at"]},{"stream_name":"speed_speedplaninput","stream_namespace":"cargill","cursor_field":["updated_at"]},{"stream_name":"speed_speedplaninput","stream_namespace":"mt","cursor_field":["updated_at"]},{"stream_name":"speed_speedplaninput","stream_namespace":"teekay","cursor_field":["updated_at"]},{"stream_name":"speed_speedplaninputviapoint","stream_namespace":"cargill","cursor_field":["updated_at"]},{"stream_name":"speed_speedplaninputviapoint","stream_namespace":"mt","cursor_field":["updated_at"]},{"stream_name":"speed_speedplaninputviapoint","stream_namespace":"teekay","cursor_field":["updated_at"]},{"stream_name":"speed_speedplansegment","stream_namespace":"cargill","cursor_field":["updated_at"]},{"stream_name":"speed_speedplansegment","stream_namespace":"mt","cursor_field":["updated_at"]},{"stream_name":"speed_speedplansegment","stream_namespace":"teekay","cursor_field":["updated_at"]},{"stream_name":"speed_speedplanwarrantedspeed","stream_namespace":"cargill","cursor_field":["updated_at"]},{"stream_name":"speed_speedplanwarrantedspeed","stream_namespace":"mt","cursor_field":["updated_at"]},{"stream_name":"speed_speedplanwarrantedspeed","stream_namespace":"teekay","cursor_field":["updated_at"]},{"stream_name":"speed_speedvoyageleg","stream_namespace":"cargill","cursor_field":["updated_at"]},{"stream_name":"speed_speedvoyageleg","stream_namespace":"mt","cursor_field":["updated_at"]},{"stream_name":"speed_speedvoyageleg","stream_namespace":"teekay","cursor_field":["updated_at"]},{"stream_name":"speed_speedvoyagelegmetrics","stream_namespace":"cargill","cursor_field":["updated_at"]},{"stream_name":"speed_speedvoyagelegmetrics","stream_namespace":"mt","cursor_field":["updated_at"]},{"stream_name":"speed_speedvoyagelegmetrics","stream_namespace":"teekay","cursor_field":["updated_at"]},{"stream_name":"speed_uservessel","stream_namespace":"cargill","cursor_field":["updated_at"]},{"stream_name":"speed_uservessel","stream_namespace":"mt","cursor_field":["updated_at"]},{"stream_name":"speed_uservessel","stream_namespace":"teekay","cursor_field":["updated_at"]},{"stream_name":"speed_vesselspeedprofile","stream_namespace":"cargill","cursor_field":["updated_at"]},{"stream_name":"speed_vesselspeedprofile","stream_namespace":"mt","cursor_field":["updated_at"]},{"stream_name":"speed_vesselspeedprofile","stream_namespace":"teekay","cursor_field":["updated_at"]},{"stream_name":"speed_voyagelegfinalstats","stream_namespace":"cargill","cursor_field":["updated_at"]},{"stream_name":"speed_voyagelegfinalstats","stream_namespace":"mt","cursor_field":["updated_at"]},{"stream_name":"speed_voyagelegfinalstats","stream_namespace":"teekay","cursor_field":["updated_at"]},{"stream_name":"speed_voyagelegstatus","stream_namespace":"cargill","cursor_field":["updated_at"]},{"stream_name":"speed_voyagelegstatus","stream_namespace":"mt","cursor_field":["updated_at"]},{"stream_name":"speed_voyagelegstatus","stream_namespace":"teekay","cursor_field":["updated_at"]}]},additionalProperties={}],trace=<null>,additionalProperties={}]
2022-07-12 17:36:54 INFO i.a.w.g.DefaultReplicationWorker(lambda$getDestinationOutputRunnable$7):415 - State in DefaultReplicationWorker from destination: io.airbyte.protocol.models.AirbyteMessage@70c68353[type=STATE,log=<null>,spec=<null>,connectionStatus=<null>,catalog=<null>,record=<null>,state=io.airbyte.protocol.models.AirbyteStateMessage@8da924e[type=STREAM,stream=io.airbyte.protocol.models.AirbyteStreamState@71270798[streamDescriptor=io.airbyte.protocol.models.StreamDescriptor@59da119c[name=simbunker_speedresponse,namespace=cargill,additionalProperties={}],streamState={"stream_name":"simbunker_speedresponse","stream_namespace":"cargill","cursor_field":["updated_at"],"cursor":"2019-12-13T15:17:50.179217Z"},additionalProperties={}],global=<null>,data={"cdc":false,"streams":[{"stream_name":"simbunker_quantificationbaselinespeed","stream_namespace":"cargill","cursor_field":["updated_at"]},{"stream_name":"simbunker_quantificationbaselinespeed","stream_namespace":"mt","cursor_field":["updated_at"],"cursor":"2019-09-11T12:29:20.805733Z"},{"stream_name":"simbunker_quantificationbaselinespeed","stream_namespace":"teekay","cursor_field":["updated_at"]},{"stream_name":"simbunker_speedorder","stream_namespace":"cargill","cursor_field":["updated_at"]},{"stream_name":"simbunker_speedorder","stream_namespace":"mt","cursor_field":["updated_at"],"cursor":"2020-04-15T08:16:07.484929Z"},{"stream_name":"simbunker_speedorder","stream_namespace":"teekay","cursor_field":["updated_at"]},{"stream_name":"simbunker_speedresponse","stream_namespace":"cargill","cursor_field":["updated_at"],"cursor":"2019-12-13T15:17:50.179217Z"},{"stream_name":"simbunker_speedresponse","stream_namespace":"mt","cursor_field":["updated_at"],"cursor":"2020-04-15T14:45:47.357797Z"},{"stream_name":"simbunker_speedresponse","stream_namespace":"teekay","cursor_field":["updated_at"]},{"stream_name":"speed_assumesegmentconsumption","stream_namespace":"cargill","cursor_field":["updated_at"]},{"stream_name":"speed_assumesegmentconsumption","stream_namespace":"mt","cursor_field":["updated_at"]},{"stream_name":"speed_assumesegmentconsumption","stream_namespace":"teekay","cursor_field":["updated_at"]},{"stream_name":"speed_scheduledoptimizationresult","stream_namespace":"cargill","cursor_field":["updated_at"]},{"stream_name":"speed_scheduledoptimizationresult","stream_namespace":"mt","cursor_field":["updated_at"]},{"stream_name":"speed_scheduledoptimizationresult","stream_namespace":"teekay","cursor_field":["updated_at"]},{"stream_name":"speed_snoozevessel","stream_namespace":"cargill","cursor_field":["updated_at"]},{"stream_name":"speed_snoozevessel","stream_namespace":"mt","cursor_field":["updated_at"]},{"stream_name":"speed_snoozevessel","stream_namespace":"teekay","cursor_field":["updated_at"]},{"stream_name":"speed_speednotification","stream_namespace":"cargill","cursor_field":["updated_at"]},{"stream_name":"speed_speednotification","stream_namespace":"mt","cursor_field":["updated_at"]},{"stream_name":"speed_speednotification","stream_namespace":"teekay","cursor_field":["updated_at"]},{"stream_name":"speed_speedplan","stream_namespace":"cargill","cursor_field":["updated_at"]},{"stream_name":"speed_speedplan","stream_namespace":"mt","cursor_field":["updated_at"]},{"stream_name":"speed_speedplan","stream_namespace":"teekay","cursor_field":["updated_at"]},{"stream_name":"speed_speedplaninput","stream_namespace":"cargill","cursor_field":["updated_at"]},{"stream_name":"speed_speedplaninput","stream_namespace":"mt","cursor_field":["updated_at"]},{"stream_name":"speed_speedplaninput","stream_namespace":"teekay","cursor_field":["updated_at"]},{"stream_name":"speed_speedplaninputviapoint","stream_namespace":"cargill","cursor_field":["updated_at"]},{"stream_name":"speed_speedplaninputviapoint","stream_namespace":"mt","cursor_field":["updated_at"]},{"stream_name":"speed_speedplaninputviapoint","stream_namespace":"teekay","cursor_field":["updated_at"]},{"stream_name":"speed_speedplansegment","stream_namespace":"cargill","cursor_field":["updated_at"]},{"stream_name":"speed_speedplansegment","stream_namespace":"mt","cursor_field":["updated_at"]},{"stream_name":"speed_speedplansegment","stream_namespace":"teekay","cursor_field":["updated_at"]},{"stream_name":"speed_speedplanwarrantedspeed","stream_namespace":"cargill","cursor_field":["updated_at"]},{"stream_name":"speed_speedplanwarrantedspeed","stream_namespace":"mt","cursor_field":["updated_at"]},{"stream_name":"speed_speedplanwarrantedspeed","stream_namespace":"teekay","cursor_field":["updated_at"]},{"stream_name":"speed_speedvoyageleg","stream_namespace":"cargill","cursor_field":["updated_at"]},{"stream_name":"speed_speedvoyageleg","stream_namespace":"mt","cursor_field":["updated_at"]},{"stream_name":"speed_speedvoyageleg","stream_namespace":"teekay","cursor_field":["updated_at"]},{"stream_name":"speed_speedvoyagelegmetrics","stream_namespace":"cargill","cursor_field":["updated_at"]},{"stream_name":"speed_speedvoyagelegmetrics","stream_namespace":"mt","cursor_field":["updated_at"]},{"stream_name":"speed_speedvoyagelegmetrics","stream_namespace":"teekay","cursor_field":["updated_at"]},{"stream_name":"speed_uservessel","stream_namespace":"cargill","cursor_field":["updated_at"]},{"stream_name":"speed_uservessel","stream_namespace":"mt","cursor_field":["updated_at"]},{"stream_name":"speed_uservessel","stream_namespace":"teekay","cursor_field":["updated_at"]},{"stream_name":"speed_vesselspeedprofile","stream_namespace":"cargill","cursor_field":["updated_at"]},{"stream_name":"speed_vesselspeedprofile","stream_namespace":"mt","cursor_field":["updated_at"]},{"stream_name":"speed_vesselspeedprofile","stream_namespace":"teekay","cursor_field":["updated_at"]},{"stream_name":"speed_voyagelegfinalstats","stream_namespace":"cargill","cursor_field":["updated_at"]},{"stream_name":"speed_voyagelegfinalstats","stream_namespace":"mt","cursor_field":["updated_at"]},{"stream_name":"speed_voyagelegfinalstats","stream_namespace":"teekay","cursor_field":["updated_at"]},{"stream_name":"speed_voyagelegstatus","stream_namespace":"cargill","cursor_field":["updated_at"]},{"stream_name":"speed_voyagelegstatus","stream_namespace":"mt","cursor_field":["updated_at"]},{"stream_name":"speed_voyagelegstatus","stream_namespace":"teekay","cursor_field":["updated_at"]}]},additionalProperties={}],trace=<null>,additionalProperties={}]
2022-07-12 17:36:18 destination > 2022-07-12 17:36:18 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):230 - Cleaning stage in destination started for stream speed_speedvoyageleg. schema mt, stage: MT_SPEED_SPEEDVOYAGELEG
2022-07-12 17:36:22 destination > 2022-07-12 17:36:22 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):224 - Cleaning tmp table in destination started for stream speed_speedvoyageleg. schema teekay, tmp table name: _airbyte_tmp_nbv_speed_speedvoyageleg
2022-07-12 17:36:22 destination > 2022-07-12 17:36:22 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):230 - Cleaning stage in destination started for stream speed_speedvoyageleg. schema teekay, stage: TEEKAY_SPEED_SPEEDVOYAGELEG
2022-07-12 17:36:22 destination > 2022-07-12 17:36:22 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):224 - Cleaning tmp table in destination started for stream speed_speedvoyageleg. schema cargill, tmp table name: _airbyte_tmp_ggl_speed_speedvoyageleg
2022-07-12 17:36:23 destination > 2022-07-12 17:36:23 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):230 - Cleaning stage in destination started for stream speed_speedvoyageleg. schema cargill, stage: CARGILL_SPEED_SPEEDVOYAGELEG
2022-07-12 17:36:23 destination > 2022-07-12 17:36:23 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):224 - Cleaning tmp table in destination started for stream speed_speedvoyagelegmetrics. schema mt, tmp table name: _airbyte_tmp_cwe_speed_speedvoyagelegmetrics
2022-07-12 17:36:24 destination > 2022-07-12 17:36:24 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):230 - Cleaning stage in destination started for stream speed_speedvoyagelegmetrics. schema mt, stage: MT_SPEED_SPEEDVOYAGELEGMETRICS
2022-07-12 17:36:24 destination > 2022-07-12 17:36:24 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):224 - Cleaning tmp table in destination started for stream speed_speedvoyagelegmetrics. schema teekay, tmp table name: _airbyte_tmp_bsw_speed_speedvoyagelegmetrics
2022-07-12 17:36:24 destination > 2022-07-12 17:36:24 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):230 - Cleaning stage in destination started for stream speed_speedvoyagelegmetrics. schema teekay, stage: TEEKAY_SPEED_SPEEDVOYAGELEGMETRICS
2022-07-12 17:36:25 destination > 2022-07-12 17:36:25 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):224 - Cleaning tmp table in destination started for stream speed_speedvoyagelegmetrics. schema cargill, tmp table name: _airbyte_tmp_urj_speed_speedvoyagelegmetrics
2022-07-12 17:36:25 destination > 2022-07-12 17:36:25 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):230 - Cleaning stage in destination started for stream speed_speedvoyagelegmetrics. schema cargill, stage: CARGILL_SPEED_SPEEDVOYAGELEGMETRICS
2022-07-12 17:36:27 destination > 2022-07-12 17:36:27 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):224 - Cleaning tmp table in destination started for stream speed_uservessel. schema mt, tmp table name: _airbyte_tmp_kce_speed_uservessel
2022-07-12 17:36:30 destination > 2022-07-12 17:36:30 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):230 - Cleaning stage in destination started for stream speed_uservessel. schema mt, stage: MT_SPEED_USERVESSEL
2022-07-12 17:36:31 destination > 2022-07-12 17:36:31 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):224 - Cleaning tmp table in destination started for stream speed_uservessel. schema teekay, tmp table name: _airbyte_tmp_gpa_speed_uservessel
2022-07-12 17:36:32 destination > 2022-07-12 17:36:32 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):230 - Cleaning stage in destination started for stream speed_uservessel. schema teekay, stage: TEEKAY_SPEED_USERVESSEL
2022-07-12 17:36:33 destination > 2022-07-12 17:36:33 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):224 - Cleaning tmp table in destination started for stream speed_uservessel. schema cargill, tmp table name: _airbyte_tmp_rnf_speed_uservessel
2022-07-12 17:36:34 destination > 2022-07-12 17:36:34 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):230 - Cleaning stage in destination started for stream speed_uservessel. schema cargill, stage: CARGILL_SPEED_USERVESSEL
2022-07-12 17:36:35 destination > 2022-07-12 17:36:35 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):224 - Cleaning tmp table in destination started for stream speed_vesselspeedprofile. schema mt, tmp table name: _airbyte_tmp_ila_speed_vesselspeedprofile
2022-07-12 17:36:35 destination > 2022-07-12 17:36:35 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):230 - Cleaning stage in destination started for stream speed_vesselspeedprofile. schema mt, stage: MT_SPEED_VESSELSPEEDPROFILE
2022-07-12 17:36:36 destination > 2022-07-12 17:36:36 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):224 - Cleaning tmp table in destination started for stream speed_vesselspeedprofile. schema teekay, tmp table name: _airbyte_tmp_iev_speed_vesselspeedprofile
2022-07-12 17:36:41 destination > 2022-07-12 17:36:41 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):230 - Cleaning stage in destination started for stream speed_vesselspeedprofile. schema teekay, stage: TEEKAY_SPEED_VESSELSPEEDPROFILE
2022-07-12 17:36:41 destination > 2022-07-12 17:36:41 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):224 - Cleaning tmp table in destination started for stream speed_vesselspeedprofile. schema cargill, tmp table name: _airbyte_tmp_lla_speed_vesselspeedprofile
2022-07-12 17:36:42 destination > 2022-07-12 17:36:42 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):230 - Cleaning stage in destination started for stream speed_vesselspeedprofile. schema cargill, stage: CARGILL_SPEED_VESSELSPEEDPROFILE
2022-07-12 17:36:42 destination > 2022-07-12 17:36:42 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):224 - Cleaning tmp table in destination started for stream speed_voyagelegfinalstats. schema mt, tmp table name: _airbyte_tmp_gfv_speed_voyagelegfinalstats
2022-07-12 17:36:42 destination > 2022-07-12 17:36:42 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):230 - Cleaning stage in destination started for stream speed_voyagelegfinalstats. schema mt, stage: MT_SPEED_VOYAGELEGFINALSTATS
2022-07-12 17:36:42 destination > 2022-07-12 17:36:42 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):224 - Cleaning tmp table in destination started for stream speed_voyagelegfinalstats. schema teekay, tmp table name: _airbyte_tmp_owe_speed_voyagelegfinalstats
2022-07-12 17:36:42 destination > 2022-07-12 17:36:42 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):230 - Cleaning stage in destination started for stream speed_voyagelegfinalstats. schema teekay, stage: TEEKAY_SPEED_VOYAGELEGFINALSTATS
2022-07-12 17:36:42 destination > 2022-07-12 17:36:42 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):224 - Cleaning tmp table in destination started for stream speed_voyagelegfinalstats. schema cargill, tmp table name: _airbyte_tmp_wgu_speed_voyagelegfinalstats
2022-07-12 17:36:42 destination > 2022-07-12 17:36:42 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):230 - Cleaning stage in destination started for stream speed_voyagelegfinalstats. schema cargill, stage: CARGILL_SPEED_VOYAGELEGFINALSTATS
2022-07-12 17:36:42 destination > 2022-07-12 17:36:42 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):224 - Cleaning tmp table in destination started for stream speed_voyagelegstatus. schema mt, tmp table name: _airbyte_tmp_htj_speed_voyagelegstatus
2022-07-12 17:36:43 destination > 2022-07-12 17:36:43 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):230 - Cleaning stage in destination started for stream speed_voyagelegstatus. schema mt, stage: MT_SPEED_VOYAGELEGSTATUS
2022-07-12 17:36:44 destination > 2022-07-12 17:36:44 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):224 - Cleaning tmp table in destination started for stream speed_voyagelegstatus. schema teekay, tmp table name: _airbyte_tmp_pid_speed_voyagelegstatus
2022-07-12 17:36:44 destination > 2022-07-12 17:36:44 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):230 - Cleaning stage in destination started for stream speed_voyagelegstatus. schema teekay, stage: TEEKAY_SPEED_VOYAGELEGSTATUS
2022-07-12 17:36:47 destination > 2022-07-12 17:36:47 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):224 - Cleaning tmp table in destination started for stream speed_voyagelegstatus. schema cargill, tmp table name: _airbyte_tmp_pdd_speed_voyagelegstatus
2022-07-12 17:36:53 destination > 2022-07-12 17:36:53 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):230 - Cleaning stage in destination started for stream speed_voyagelegstatus. schema cargill, stage: CARGILL_SPEED_VOYAGELEGSTATUS
2022-07-12 17:36:54 destination > 2022-07-12 17:36:54 INFO i.a.i.d.s.StagingConsumerFactory(lambda$onCloseFunction$4):235 - Cleaning up destination completed.
2022-07-12 17:36:54 destination > 2022-07-12 17:36:54 INFO i.a.i.b.IntegrationRunner(runInternal):171 - Completed integration: io.airbyte.integrations.destination.snowflake.SnowflakeDestination
2022-07-12 17:37:01 normalization > Running: transform-config --config destination_config.json --integration-type snowflake --out /config
2022-07-12 17:37:02 normalization > Namespace(config='destination_config.json', integration_type=<DestinationType.SNOWFLAKE: 'snowflake'>, out='/config')
2022-07-12 17:37:02 normalization > transform_snowflake
2022-07-12 17:37:02 normalization > Running: transform-catalog --integration-type snowflake --profile-config-dir /config --catalog destination_catalog.json --out /config/models/generated/ --json-column _airbyte_data
2022-07-12 17:37:03 normalization > Processing destination_catalog.json...
2022-07-12 17:37:03 normalization >   Generating airbyte_ctes/MT/_AIRBYTE_MT_SIMBUNKER_QUANTIFICATIONBASELINESPEED_AB1.sql from simbunker_quantificationbaselinespeed
2022-07-12 17:37:03 normalization >   Generating airbyte_ctes/MT/_AIRBYTE_MT_SIMBUNKER_QUANTIFICATIONBASELINESPEED_AB2.sql from simbunker_quantificationbaselinespeed
2022-07-12 17:37:03 normalization >   Generating airbyte_views/MT/_AIRBYTE_MT_SIMBUNKER_QUANTIFICATIONBASELINESPEED_STG.sql from simbunker_quantificationbaselinespeed
2022-07-12 17:37:03 normalization >   Generating airbyte_incremental/scd/MT/MT_SIMBUNKER_QUANTIFICATIONBASELINESPEED_SCD.sql from simbunker_quantificationbaselinespeed
2022-07-12 17:37:03 normalization >   Generating airbyte_incremental/MT/MT_SIMBUNKER_QUANTIFICATIONBASELINESPEED.sql from simbunker_quantificationbaselinespeed
2022-07-12 17:37:03 normalization >   Generating airbyte_ctes/TEEKAY/_AIRBYTE_TEEKAY_SIMBUNKER_QUANTIFICATIONBASELINESPEED_AB1.sql from simbunker_quantificationbaselinespeed
2022-07-12 17:37:03 normalization >   Generating airbyte_ctes/TEEKAY/_AIRBYTE_TEEKAY_SIMBUNKER_QUANTIFICATIONBASELINESPEED_AB2.sql from simbunker_quantificationbaselinespeed
2022-07-12 17:37:03 normalization >   Generating airbyte_views/TEEKAY/_AIRBYTE_TEEKAY_SIMBUNKER_QUANTIFICATIONBASELINESPEED_STG.sql from simbunker_quantificationbaselinespeed
2022-07-12 17:37:03 normalization >   Generating airbyte_incremental/scd/TEEKAY/TEEKAY_SIMBUNKER_QUANTIFICATIONBASELINESPEED_SCD.sql from simbunker_quantificationbaselinespeed
2022-07-12 17:37:03 normalization >   Generating airbyte_incremental/TEEKAY/TEEKAY_SIMBUNKER_QUANTIFICATIONBASELINESPEED.sql from simbunker_quantificationbaselinespeed
2022-07-12 17:37:03 normalization >   Generating airbyte_ctes/CARGILL/_AIRBYTE_CARGILL_SIMBUNKER_QUANTIFICATIONBASELINESPEED_AB1.sql from simbunker_quantificationbaselinespeed
2022-07-12 17:37:03 normalization >   Generating airbyte_ctes/CARGILL/_AIRBYTE_CARGILL_SIMBUNKER_QUANTIFICATIONBASELINESPEED_AB2.sql from simbunker_quantificationbaselinespeed
2022-07-12 17:37:03 normalization >   Generating airbyte_views/CARGILL/_AIRBYTE_CARGILL_SIMBUNKER_QUANTIFICATIONBASELINESPEED_STG.sql from simbunker_quantificationbaselinespeed
2022-07-12 17:37:03 normalization >   Generating airbyte_incremental/scd/CARGILL/CARGILL_SIMBUNKER_QUANTIFICATIONBASELINESPEED_SCD.sql from simbunker_quantificationbaselinespeed
2022-07-12 17:37:03 normalization >   Generating airbyte_incremental/CARGILL/CARGILL_SIMBUNKER_QUANTIFICATIONBASELINESPEED.sql from simbunker_quantificationbaselinespeed
2022-07-12 17:37:03 normalization >   Generating airbyte_ctes/MT/_AIRBYTE_MT_SIMBUNKER_SPEEDORDER_AB1.sql from simbunker_speedorder
2022-07-12 17:37:03 normalization >   Generating airbyte_ctes/MT/_AIRBYTE_MT_SIMBUNKER_SPEEDORDER_AB2.sql from simbunker_speedorder
2022-07-12 17:37:03 normalization >   Generating airbyte_ctes/MT/_AIRBYTE_MT_SIMBUNKER_SPEEDORDER_AB3.sql from simbunker_speedorder
2022-07-12 17:37:03 normalization >   Generating airbyte_incremental/MT/MT_SIMBUNKER_SPEEDORDER.sql from simbunker_speedorder
2022-07-12 17:37:03 normalization >   Generating airbyte_ctes/TEEKAY/_AIRBYTE_TEEKAY_SIMBUNKER_SPEEDORDER_AB1.sql from simbunker_speedorder
2022-07-12 17:37:03 normalization >   Generating airbyte_ctes/TEEKAY/_AIRBYTE_TEEKAY_SIMBUNKER_SPEEDORDER_AB2.sql from simbunker_speedorder
2022-07-12 17:37:03 normalization >   Generating airbyte_ctes/TEEKAY/_AIRBYTE_TEEKAY_SIMBUNKER_SPEEDORDER_AB3.sql from simbunker_speedorder
2022-07-12 17:37:03 normalization >   Generating airbyte_incremental/TEEKAY/TEEKAY_SIMBUNKER_SPEEDORDER.sql from simbunker_speedorder
2022-07-12 17:37:03 normalization >   Generating airbyte_ctes/CARGILL/_AIRBYTE_CARGILL_SIMBUNKER_SPEEDORDER_AB1.sql from simbunker_speedorder
2022-07-12 17:37:03 normalization >   Generating airbyte_ctes/CARGILL/_AIRBYTE_CARGILL_SIMBUNKER_SPEEDORDER_AB2.sql from simbunker_speedorder
2022-07-12 17:37:03 normalization >   Generating airbyte_ctes/CARGILL/_AIRBYTE_CARGILL_SIMBUNKER_SPEEDORDER_AB3.sql from simbunker_speedorder
2022-07-12 17:37:03 normalization >   Generating airbyte_incremental/CARGILL/CARGILL_SIMBUNKER_SPEEDORDER.sql from simbunker_speedorder
2022-07-12 17:37:03 normalization >   Generating airbyte_ctes/MT/_AIRBYTE_MT_SIMBUNKER_SPEEDRESPONSE_AB1.sql from simbunker_speedresponse
2022-07-12 17:37:03 normalization >   Generating airbyte_ctes/MT/_AIRBYTE_MT_SIMBUNKER_SPEEDRESPONSE_AB2.sql from simbunker_speedresponse
2022-07-12 17:37:03 normalization >   Generating airbyte_ctes/MT/_AIRBYTE_MT_SIMBUNKER_SPEEDRESPONSE_AB3.sql from simbunker_speedresponse
2022-07-12 17:37:03 normalization >   Generating airbyte_incremental/MT/MT_SIMBUNKER_SPEEDRESPONSE.sql from simbunker_speedresponse
2022-07-12 17:37:03 normalization >   Generating airbyte_ctes/TEEKAY/_AIRBYTE_TEEKAY_SIMBUNKER_SPEEDRESPONSE_AB1.sql from simbunker_speedresponse
2022-07-12 17:37:03 normalization >   Generating airbyte_ctes/TEEKAY/_AIRBYTE_TEEKAY_SIMBUNKER_SPEEDRESPONSE_AB2.sql from simbunker_speedresponse
2022-07-12 17:37:03 normalization >   Generating airbyte_ctes/TEEKAY/_AIRBYTE_TEEKAY_SIMBUNKER_SPEEDRESPONSE_AB3.sql from simbunker_speedresponse
2022-07-12 17:37:03 normalization >   Generating airbyte_incremental/TEEKAY/TEEKAY_SIMBUNKER_SPEEDRESPONSE.sql from simbunker_speedresponse
2022-07-12 17:37:03 normalization >   Generating airbyte_ctes/CARGILL/_AIRBYTE_CARGILL_SIMBUNKER_SPEEDRESPONSE_AB1.sql from simbunker_speedresponse
2022-07-12 17:37:03 normalization >   Generating airbyte_ctes/CARGILL/_AIRBYTE_CARGILL_SIMBUNKER_SPEEDRESPONSE_AB2.sql from simbunker_speedresponse
2022-07-12 17:37:03 normalization >   Generating airbyte_ctes/CARGILL/_AIRBYTE_CARGILL_SIMBUNKER_SPEEDRESPONSE_AB3.sql from simbunker_speedresponse
2022-07-12 17:37:03 normalization >   Generating airbyte_incremental/CARGILL/CARGILL_SIMBUNKER_SPEEDRESPONSE.sql from simbunker_speedresponse
2022-07-12 17:37:03 normalization >   Generating airbyte_ctes/MT/_AIRBYTE_MT_SPEED_ASSUMESEGMENTCONSUMPTION_AB1.sql from speed_assumesegmentconsumption
2022-07-12 17:37:03 normalization >   Generating airbyte_ctes/MT/_AIRBYTE_MT_SPEED_ASSUMESEGMENTCONSUMPTION_AB2.sql from speed_assumesegmentconsumption
2022-07-12 17:37:03 normalization >   Generating airbyte_ctes/MT/_AIRBYTE_MT_SPEED_ASSUMESEGMENTCONSUMPTION_AB3.sql from speed_assumesegmentconsumption
2022-07-12 17:37:03 normalization >   Generating airbyte_incremental/MT/MT_SPEED_ASSUMESEGMENTCONSUMPTION.sql from speed_assumesegmentconsumption
2022-07-12 17:37:03 normalization >   Generating airbyte_ctes/TEEKAY/_AIRBYTE_TEEKAY_SPEED_ASSUMESEGMENTCONSUMPTION_AB1.sql from speed_assumesegmentconsumption
2022-07-12 17:37:03 normalization >   Generating airbyte_ctes/TEEKAY/_AIRBYTE_TEEKAY_SPEED_ASSUMESEGMENTCONSUMPTION_AB2.sql from speed_assumesegmentconsumption
2022-07-12 17:37:03 normalization >   Generating airbyte_ctes/TEEKAY/_AIRBYTE_TEEKAY_SPEED_ASSUMESEGMENTCONSUMPTION_AB3.sql from speed_assumesegmentconsumption
2022-07-12 17:37:03 normalization >   Generating airbyte_incremental/TEEKAY/TEEKAY_SPEED_ASSUMESEGMENTCONSUMPTION.sql from speed_assumesegmentconsumption
2022-07-12 17:37:03 normalization >   Generating airbyte_ctes/CARGILL/_AIRBYTE_CARGILL_SPEED_ASSUMESEGMENTCONSUMPTION_AB1.sql from speed_assumesegmentconsumption
2022-07-12 17:37:03 normalization >   Generating airbyte_ctes/CARGILL/_AIRBYTE_CARGILL_SPEED_ASSUMESEGMENTCONSUMPTION_AB2.sql from speed_assumesegmentconsumption
2022-07-12 17:37:03 normalization >   Generating airbyte_ctes/CARGILL/_AIRBYTE_CARGILL_SPEED_ASSUMESEGMENTCONSUMPTION_AB3.sql from speed_assumesegmentconsumption
2022-07-12 17:37:03 normalization >   Generating airbyte_incremental/CARGILL/CARGILL_SPEED_ASSUMESEGMENTCONSUMPTION.sql from speed_assumesegmentconsumption
2022-07-12 17:37:03 normalization >   Generating airbyte_ctes/MT/_AIRBYTE_MT_SPEED_SCHEDULEDOPTIMIZATIONRESULT_AB1.sql from speed_scheduledoptimizationresult
2022-07-12 17:37:03 normalization >   Generating airbyte_ctes/MT/_AIRBYTE_MT_SPEED_SCHEDULEDOPTIMIZATIONRESULT_AB2.sql from speed_scheduledoptimizationresult
2022-07-12 17:37:03 normalization >   Generating airbyte_ctes/MT/_AIRBYTE_MT_SPEED_SCHEDULEDOPTIMIZATIONRESULT_AB3.sql from speed_scheduledoptimizationresult
2022-07-12 17:37:03 normalization >   Generating airbyte_incremental/MT/MT_SPEED_SCHEDULEDOPTIMIZATIONRESULT.sql from speed_scheduledoptimizationresult
2022-07-12 17:37:03 normalization >   Generating airbyte_ctes/TEEKAY/_AIRBYTE_TEEKAY_SPEED_SCHEDULEDOPTIMIZATIONRESULT_AB1.sql from speed_scheduledoptimizationresult
2022-07-12 17:37:03 normalization >   Generating airbyte_ctes/TEEKAY/_AIRBYTE_TEEKAY_SPEED_SCHEDULEDOPTIMIZATIONRESULT_AB2.sql from speed_scheduledoptimizationresult
2022-07-12 17:37:03 normalization >   Generating airbyte_ctes/TEEKAY/_AIRBYTE_TEEKAY_SPEED_SCHEDULEDOPTIMIZATIONRESULT_AB3.sql from speed_scheduledoptimizationresult
2022-07-12 17:37:03 normalization >   Generating airbyte_incremental/TEEKAY/TEEKAY_SPEED_SCHEDULEDOPTIMIZATIONRESULT.sql from speed_scheduledoptimizationresult
2022-07-12 17:37:03 normalization >   Generating airbyte_ctes/CARGILL/_AIRBYTE_CARGILL_SPEED_SCHEDULEDOPTIMIZATIONRESULT_AB1.sql from speed_scheduledoptimizationresult
2022-07-12 17:37:03 normalization >   Generating airbyte_ctes/CARGILL/_AIRBYTE_CARGILL_SPEED_SCHEDULEDOPTIMIZATIONRESULT_AB2.sql from speed_scheduledoptimizationresult
2022-07-12 17:37:03 normalization >   Generating airbyte_ctes/CARGILL/_AIRBYTE_CARGILL_SPEED_SCHEDULEDOPTIMIZATIONRESULT_AB3.sql from speed_scheduledoptimizationresult
2022-07-12 17:37:03 normalization >   Generating airbyte_incremental/CARGILL/CARGILL_SPEED_SCHEDULEDOPTIMIZATIONRESULT.sql from speed_scheduledoptimizationresult
2022-07-12 17:37:03 normalization >   Generating airbyte_ctes/MT/_AIRBYTE_MT_SPEED_SNOOZEVESSEL_AB1.sql from speed_snoozevessel
2022-07-12 17:37:03 normalization >   Generating airbyte_ctes/MT/_AIRBYTE_MT_SPEED_SNOOZEVESSEL_AB2.sql from speed_snoozevessel
2022-07-12 17:37:03 normalization >   Generating airbyte_ctes/MT/_AIRBYTE_MT_SPEED_SNOOZEVESSEL_AB3.sql from speed_snoozevessel
2022-07-12 17:37:03 normalization >   Generating airbyte_incremental/MT/MT_SPEED_SNOOZEVESSEL.sql from speed_snoozevessel
2022-07-12 17:37:03 normalization >   Generating airbyte_ctes/TEEKAY/_AIRBYTE_TEEKAY_SPEED_SNOOZEVESSEL_AB1.sql from speed_snoozevessel
2022-07-12 17:37:03 normalization >   Generating airbyte_ctes/TEEKAY/_AIRBYTE_TEEKAY_SPEED_SNOOZEVESSEL_AB2.sql from speed_snoozevessel
2022-07-12 17:37:03 normalization >   Generating airbyte_ctes/TEEKAY/_AIRBYTE_TEEKAY_SPEED_SNOOZEVESSEL_AB3.sql from speed_snoozevessel
2022-07-12 17:37:04 normalization >   Generating airbyte_incremental/TEEKAY/TEEKAY_SPEED_SNOOZEVESSEL.sql from speed_snoozevessel
2022-07-12 17:37:04 normalization >   Generating airbyte_ctes/CARGILL/_AIRBYTE_CARGILL_SPEED_SNOOZEVESSEL_AB1.sql from speed_snoozevessel
2022-07-12 17:37:04 normalization >   Generating airbyte_ctes/CARGILL/_AIRBYTE_CARGILL_SPEED_SNOOZEVESSEL_AB2.sql from speed_snoozevessel
2022-07-12 17:37:04 normalization >   Generating airbyte_ctes/CARGILL/_AIRBYTE_CARGILL_SPEED_SNOOZEVESSEL_AB3.sql from speed_snoozevessel
2022-07-12 17:37:04 normalization >   Generating airbyte_incremental/CARGILL/CARGILL_SPEED_SNOOZEVESSEL.sql from speed_snoozevessel
2022-07-12 17:37:04 normalization >   Generating airbyte_ctes/MT/_AIRBYTE_MT_SPEED_SPEEDNOTIFICATION_AB1.sql from speed_speednotification
2022-07-12 17:37:04 normalization >   Generating airbyte_ctes/MT/_AIRBYTE_MT_SPEED_SPEEDNOTIFICATION_AB2.sql from speed_speednotification
2022-07-12 17:37:04 normalization >   Generating airbyte_ctes/MT/_AIRBYTE_MT_SPEED_SPEEDNOTIFICATION_AB3.sql from speed_speednotification
2022-07-12 17:37:04 normalization >   Generating airbyte_incremental/MT/MT_SPEED_SPEEDNOTIFICATION.sql from speed_speednotification
2022-07-12 17:37:04 normalization >   Generating airbyte_ctes/TEEKAY/_AIRBYTE_TEEKAY_SPEED_SPEEDNOTIFICATION_AB1.sql from speed_speednotification
2022-07-12 17:37:04 normalization >   Generating airbyte_ctes/TEEKAY/_AIRBYTE_TEEKAY_SPEED_SPEEDNOTIFICATION_AB2.sql from speed_speednotification
2022-07-12 17:37:04 normalization >   Generating airbyte_ctes/TEEKAY/_AIRBYTE_TEEKAY_SPEED_SPEEDNOTIFICATION_AB3.sql from speed_speednotification
2022-07-12 17:37:04 normalization >   Generating airbyte_incremental/TEEKAY/TEEKAY_SPEED_SPEEDNOTIFICATION.sql from speed_speednotification
2022-07-12 17:37:04 normalization >   Generating airbyte_ctes/CARGILL/_AIRBYTE_CARGILL_SPEED_SPEEDNOTIFICATION_AB1.sql from speed_speednotification
2022-07-12 17:37:04 normalization >   Generating airbyte_ctes/CARGILL/_AIRBYTE_CARGILL_SPEED_SPEEDNOTIFICATION_AB2.sql from speed_speednotification
2022-07-12 17:37:04 normalization >   Generating airbyte_ctes/CARGILL/_AIRBYTE_CARGILL_SPEED_SPEEDNOTIFICATION_AB3.sql from speed_speednotification
2022-07-12 17:37:04 normalization >   Generating airbyte_incremental/CARGILL/CARGILL_SPEED_SPEEDNOTIFICATION.sql from speed_speednotification
2022-07-12 17:37:04 normalization >   Generating airbyte_ctes/MT/_AIRBYTE_MT_SPEED_SPEEDPLAN_AB1.sql from speed_speedplan
2022-07-12 17:37:04 normalization >   Generating airbyte_ctes/MT/_AIRBYTE_MT_SPEED_SPEEDPLAN_AB2.sql from speed_speedplan
2022-07-12 17:37:04 normalization >   Generating airbyte_ctes/MT/_AIRBYTE_MT_SPEED_SPEEDPLAN_AB3.sql from speed_speedplan
2022-07-12 17:37:04 normalization >   Generating airbyte_incremental/MT/MT_SPEED_SPEEDPLAN.sql from speed_speedplan
2022-07-12 17:37:04 normalization >   Generating airbyte_ctes/TEEKAY/_AIRBYTE_TEEKAY_SPEED_SPEEDPLAN_AB1.sql from speed_speedplan
2022-07-12 17:37:04 normalization >   Generating airbyte_ctes/TEEKAY/_AIRBYTE_TEEKAY_SPEED_SPEEDPLAN_AB2.sql from speed_speedplan
2022-07-12 17:37:04 normalization >   Generating airbyte_ctes/TEEKAY/_AIRBYTE_TEEKAY_SPEED_SPEEDPLAN_AB3.sql from speed_speedplan
2022-07-12 17:37:04 normalization >   Generating airbyte_incremental/TEEKAY/TEEKAY_SPEED_SPEEDPLAN.sql from speed_speedplan
2022-07-12 17:37:04 normalization >   Generating airbyte_ctes/CARGILL/_AIRBYTE_CARGILL_SPEED_SPEEDPLAN_AB1.sql from speed_speedplan
2022-07-12 17:37:04 normalization >   Generating airbyte_ctes/CARGILL/_AIRBYTE_CARGILL_SPEED_SPEEDPLAN_AB2.sql from speed_speedplan
2022-07-12 17:37:04 normalization >   Generating airbyte_ctes/CARGILL/_AIRBYTE_CARGILL_SPEED_SPEEDPLAN_AB3.sql from speed_speedplan
2022-07-12 17:37:04 normalization >   Generating airbyte_incremental/CARGILL/CARGILL_SPEED_SPEEDPLAN.sql from speed_speedplan
2022-07-12 17:37:04 normalization >   Generating airbyte_ctes/MT/_AIRBYTE_MT_SPEED_SPEEDPLANINPUT_AB1.sql from speed_speedplaninput
2022-07-12 17:37:04 normalization >   Generating airbyte_ctes/MT/_AIRBYTE_MT_SPEED_SPEEDPLANINPUT_AB2.sql from speed_speedplaninput
2022-07-12 17:37:04 normalization >   Generating airbyte_ctes/MT/_AIRBYTE_MT_SPEED_SPEEDPLANINPUT_AB3.sql from speed_speedplaninput
2022-07-12 17:37:04 normalization >   Generating airbyte_incremental/MT/MT_SPEED_SPEEDPLANINPUT.sql from speed_speedplaninput
2022-07-12 17:37:04 normalization >   Generating airbyte_ctes/TEEKAY/_AIRBYTE_TEEKAY_SPEED_SPEEDPLANINPUT_AB1.sql from speed_speedplaninput
2022-07-12 17:37:04 normalization >   Generating airbyte_ctes/TEEKAY/_AIRBYTE_TEEKAY_SPEED_SPEEDPLANINPUT_AB2.sql from speed_speedplaninput
2022-07-12 17:37:04 normalization >   Generating airbyte_ctes/TEEKAY/_AIRBYTE_TEEKAY_SPEED_SPEEDPLANINPUT_AB3.sql from speed_speedplaninput
2022-07-12 17:37:04 normalization >   Generating airbyte_incremental/TEEKAY/TEEKAY_SPEED_SPEEDPLANINPUT.sql from speed_speedplaninput
2022-07-12 17:37:04 normalization >   Generating airbyte_ctes/CARGILL/_AIRBYTE_CARGILL_SPEED_SPEEDPLANINPUT_AB1.sql from speed_speedplaninput
2022-07-12 17:37:04 normalization >   Generating airbyte_ctes/CARGILL/_AIRBYTE_CARGILL_SPEED_SPEEDPLANINPUT_AB2.sql from speed_speedplaninput
2022-07-12 17:37:04 normalization >   Generating airbyte_ctes/CARGILL/_AIRBYTE_CARGILL_SPEED_SPEEDPLANINPUT_AB3.sql from speed_speedplaninput
2022-07-12 17:37:04 normalization >   Generating airbyte_incremental/CARGILL/CARGILL_SPEED_SPEEDPLANINPUT.sql from speed_speedplaninput
2022-07-12 17:37:04 normalization >   Generating airbyte_ctes/MT/_AIRBYTE_MT_SPEED_SPEEDPLANINPUTVIAPOINT_AB1.sql from speed_speedplaninputviapoint
2022-07-12 17:37:04 normalization >   Generating airbyte_ctes/MT/_AIRBYTE_MT_SPEED_SPEEDPLANINPUTVIAPOINT_AB2.sql from speed_speedplaninputviapoint
2022-07-12 17:37:04 normalization >   Generating airbyte_ctes/MT/_AIRBYTE_MT_SPEED_SPEEDPLANINPUTVIAPOINT_AB3.sql from speed_speedplaninputviapoint
2022-07-12 17:37:04 normalization >   Generating airbyte_incremental/MT/MT_SPEED_SPEEDPLANINPUTVIAPOINT.sql from speed_speedplaninputviapoint
2022-07-12 17:37:04 normalization >   Generating airbyte_ctes/TEEKAY/_AIRBYTE_TEEKAY_SPEED_SPEEDPLANINPUTVIAPOINT_AB1.sql from speed_speedplaninputviapoint
2022-07-12 17:37:04 normalization >   Generating airbyte_ctes/TEEKAY/_AIRBYTE_TEEKAY_SPEED_SPEEDPLANINPUTVIAPOINT_AB2.sql from speed_speedplaninputviapoint
2022-07-12 17:37:04 normalization >   Generating airbyte_ctes/TEEKAY/_AIRBYTE_TEEKAY_SPEED_SPEEDPLANINPUTVIAPOINT_AB3.sql from speed_speedplaninputviapoint
2022-07-12 17:37:04 normalization >   Generating airbyte_incremental/TEEKAY/TEEKAY_SPEED_SPEEDPLANINPUTVIAPOINT.sql from speed_speedplaninputviapoint
2022-07-12 17:37:04 normalization >   Generating airbyte_ctes/CARGILL/_AIRBYTE_CARGILL_SPEED_SPEEDPLANINPUTVIAPOINT_AB1.sql from speed_speedplaninputviapoint
2022-07-12 17:37:04 normalization >   Generating airbyte_ctes/CARGILL/_AIRBYTE_CARGILL_SPEED_SPEEDPLANINPUTVIAPOINT_AB2.sql from speed_speedplaninputviapoint
2022-07-12 17:37:04 normalization >   Generating airbyte_ctes/CARGILL/_AIRBYTE_CARGILL_SPEED_SPEEDPLANINPUTVIAPOINT_AB3.sql from speed_speedplaninputviapoint
2022-07-12 17:37:04 normalization >   Generating airbyte_incremental/CARGILL/CARGILL_SPEED_SPEEDPLANINPUTVIAPOINT.sql from speed_speedplaninputviapoint
2022-07-12 17:37:04 normalization >   Generating airbyte_ctes/MT/_AIRBYTE_MT_SPEED_SPEEDPLANSEGMENT_AB1.sql from speed_speedplansegment
2022-07-12 17:37:04 normalization >   Generating airbyte_ctes/MT/_AIRBYTE_MT_SPEED_SPEEDPLANSEGMENT_AB2.sql from speed_speedplansegment
2022-07-12 17:37:04 normalization >   Generating airbyte_ctes/MT/_AIRBYTE_MT_SPEED_SPEEDPLANSEGMENT_AB3.sql from speed_speedplansegment
2022-07-12 17:37:04 normalization >   Generating airbyte_incremental/MT/MT_SPEED_SPEEDPLANSEGMENT.sql from speed_speedplansegment
2022-07-12 17:37:04 normalization >   Generating airbyte_ctes/TEEKAY/_AIRBYTE_TEEKAY_SPEED_SPEEDPLANSEGMENT_AB1.sql from speed_speedplansegment
2022-07-12 17:37:04 normalization >   Generating airbyte_ctes/TEEKAY/_AIRBYTE_TEEKAY_SPEED_SPEEDPLANSEGMENT_AB2.sql from speed_speedplansegment
2022-07-12 17:37:04 normalization >   Generating airbyte_ctes/TEEKAY/_AIRBYTE_TEEKAY_SPEED_SPEEDPLANSEGMENT_AB3.sql from speed_speedplansegment
2022-07-12 17:37:04 normalization >   Generating airbyte_incremental/TEEKAY/TEEKAY_SPEED_SPEEDPLANSEGMENT.sql from speed_speedplansegment
2022-07-12 17:37:04 normalization >   Generating airbyte_ctes/CARGILL/_AIRBYTE_CARGILL_SPEED_SPEEDPLANSEGMENT_AB1.sql from speed_speedplansegment
2022-07-12 17:37:04 normalization >   Generating airbyte_ctes/CARGILL/_AIRBYTE_CARGILL_SPEED_SPEEDPLANSEGMENT_AB2.sql from speed_speedplansegment
2022-07-12 17:37:04 normalization >   Generating airbyte_ctes/CARGILL/_AIRBYTE_CARGILL_SPEED_SPEEDPLANSEGMENT_AB3.sql from speed_speedplansegment
2022-07-12 17:37:04 normalization >   Generating airbyte_incremental/CARGILL/CARGILL_SPEED_SPEEDPLANSEGMENT.sql from speed_speedplansegment
2022-07-12 17:37:04 normalization >   Generating airbyte_ctes/MT/_AIRBYTE_MT_SPEED_SPEEDPLANWARRANTEDSPEED_AB1.sql from speed_speedplanwarrantedspeed
2022-07-12 17:37:04 normalization >   Generating airbyte_ctes/MT/_AIRBYTE_MT_SPEED_SPEEDPLANWARRANTEDSPEED_AB2.sql from speed_speedplanwarrantedspeed
2022-07-12 17:37:04 normalization >   Generating airbyte_ctes/MT/_AIRBYTE_MT_SPEED_SPEEDPLANWARRANTEDSPEED_AB3.sql from speed_speedplanwarrantedspeed
2022-07-12 17:37:04 normalization >   Generating airbyte_incremental/MT/MT_SPEED_SPEEDPLANWARRANTEDSPEED.sql from speed_speedplanwarrantedspeed
2022-07-12 17:37:04 normalization >   Generating airbyte_ctes/TEEKAY/_AIRBYTE_TEEKAY_SPEED_SPEEDPLANWARRANTEDSPEED_AB1.sql from speed_speedplanwarrantedspeed
2022-07-12 17:37:04 normalization >   Generating airbyte_ctes/TEEKAY/_AIRBYTE_TEEKAY_SPEED_SPEEDPLANWARRANTEDSPEED_AB2.sql from speed_speedplanwarrantedspeed
2022-07-12 17:37:04 normalization >   Generating airbyte_ctes/TEEKAY/_AIRBYTE_TEEKAY_SPEED_SPEEDPLANWARRANTEDSPEED_AB3.sql from speed_speedplanwarrantedspeed
2022-07-12 17:37:04 normalization >   Generating airbyte_incremental/TEEKAY/TEEKAY_SPEED_SPEEDPLANWARRANTEDSPEED.sql from speed_speedplanwarrantedspeed
2022-07-12 17:37:04 normalization >   Generating airbyte_ctes/CARGILL/_AIRBYTE_CARGILL_SPEED_SPEEDPLANWARRANTEDSPEED_AB1.sql from speed_speedplanwarrantedspeed
2022-07-12 17:37:04 normalization >   Generating airbyte_ctes/CARGILL/_AIRBYTE_CARGILL_SPEED_SPEEDPLANWARRANTEDSPEED_AB2.sql from speed_speedplanwarrantedspeed
2022-07-12 17:37:04 normalization >   Generating airbyte_ctes/CARGILL/_AIRBYTE_CARGILL_SPEED_SPEEDPLANWARRANTEDSPEED_AB3.sql from speed_speedplanwarrantedspeed
2022-07-12 17:37:04 normalization >   Generating airbyte_incremental/CARGILL/CARGILL_SPEED_SPEEDPLANWARRANTEDSPEED.sql from speed_speedplanwarrantedspeed
2022-07-12 17:37:05 normalization >   Generating airbyte_ctes/MT/_AIRBYTE_MT_SPEED_SPEEDVOYAGELEG_AB1.sql from speed_speedvoyageleg
2022-07-12 17:37:05 normalization >   Generating airbyte_ctes/MT/_AIRBYTE_MT_SPEED_SPEEDVOYAGELEG_AB2.sql from speed_speedvoyageleg
2022-07-12 17:37:05 normalization >   Generating airbyte_ctes/MT/_AIRBYTE_MT_SPEED_SPEEDVOYAGELEG_AB3.sql from speed_speedvoyageleg
2022-07-12 17:37:05 normalization >   Generating airbyte_incremental/MT/MT_SPEED_SPEEDVOYAGELEG.sql from speed_speedvoyageleg
2022-07-12 17:37:05 normalization >   Generating airbyte_ctes/TEEKAY/_AIRBYTE_TEEKAY_SPEED_SPEEDVOYAGELEG_AB1.sql from speed_speedvoyageleg
2022-07-12 17:37:05 normalization >   Generating airbyte_ctes/TEEKAY/_AIRBYTE_TEEKAY_SPEED_SPEEDVOYAGELEG_AB2.sql from speed_speedvoyageleg
2022-07-12 17:37:05 normalization >   Generating airbyte_ctes/TEEKAY/_AIRBYTE_TEEKAY_SPEED_SPEEDVOYAGELEG_AB3.sql from speed_speedvoyageleg
2022-07-12 17:37:05 normalization >   Generating airbyte_incremental/TEEKAY/TEEKAY_SPEED_SPEEDVOYAGELEG.sql from speed_speedvoyageleg
2022-07-12 17:37:05 normalization >   Generating airbyte_ctes/CARGILL/_AIRBYTE_CARGILL_SPEED_SPEEDVOYAGELEG_AB1.sql from speed_speedvoyageleg
2022-07-12 17:37:05 normalization >   Generating airbyte_ctes/CARGILL/_AIRBYTE_CARGILL_SPEED_SPEEDVOYAGELEG_AB2.sql from speed_speedvoyageleg
2022-07-12 17:37:05 normalization >   Generating airbyte_ctes/CARGILL/_AIRBYTE_CARGILL_SPEED_SPEEDVOYAGELEG_AB3.sql from speed_speedvoyageleg
2022-07-12 17:37:05 normalization >   Generating airbyte_incremental/CARGILL/CARGILL_SPEED_SPEEDVOYAGELEG.sql from speed_speedvoyageleg
2022-07-12 17:37:05 normalization >   Generating airbyte_ctes/MT/_AIRBYTE_MT_SPEED_SPEEDVOYAGELEGMETRICS_AB1.sql from speed_speedvoyagelegmetrics
2022-07-12 17:37:05 normalization >   Generating airbyte_ctes/MT/_AIRBYTE_MT_SPEED_SPEEDVOYAGELEGMETRICS_AB2.sql from speed_speedvoyagelegmetrics
2022-07-12 17:37:05 normalization >   Generating airbyte_ctes/MT/_AIRBYTE_MT_SPEED_SPEEDVOYAGELEGMETRICS_AB3.sql from speed_speedvoyagelegmetrics
2022-07-12 17:37:05 normalization >   Generating airbyte_incremental/MT/MT_SPEED_SPEEDVOYAGELEGMETRICS.sql from speed_speedvoyagelegmetrics
2022-07-12 17:37:05 normalization >   Generating airbyte_ctes/TEEKAY/_AIRBYTE_TEEKAY_SPEED_SPEEDVOYAGELEGMETRICS_AB1.sql from speed_speedvoyagelegmetrics
2022-07-12 17:37:05 normalization >   Generating airbyte_ctes/TEEKAY/_AIRBYTE_TEEKAY_SPEED_SPEEDVOYAGELEGMETRICS_AB2.sql from speed_speedvoyagelegmetrics
2022-07-12 17:37:05 normalization >   Generating airbyte_ctes/TEEKAY/_AIRBYTE_TEEKAY_SPEED_SPEEDVOYAGELEGMETRICS_AB3.sql from speed_speedvoyagelegmetrics
2022-07-12 17:37:05 normalization >   Generating airbyte_incremental/TEEKAY/TEEKAY_SPEED_SPEEDVOYAGELEGMETRICS.sql from speed_speedvoyagelegmetrics
2022-07-12 17:37:05 normalization >   Generating airbyte_ctes/CARGILL/_AIRBYTE_CARGILL_SPEED_SPEEDVOYAGELEGMETRICS_AB1.sql from speed_speedvoyagelegmetrics
2022-07-12 17:37:05 normalization >   Generating airbyte_ctes/CARGILL/_AIRBYTE_CARGILL_SPEED_SPEEDVOYAGELEGMETRICS_AB2.sql from speed_speedvoyagelegmetrics
2022-07-12 17:37:05 normalization >   Generating airbyte_ctes/CARGILL/_AIRBYTE_CARGILL_SPEED_SPEEDVOYAGELEGMETRICS_AB3.sql from speed_speedvoyagelegmetrics
2022-07-12 17:37:05 normalization >   Generating airbyte_incremental/CARGILL/CARGILL_SPEED_SPEEDVOYAGELEGMETRICS.sql from speed_speedvoyagelegmetrics
2022-07-12 17:37:05 normalization >   Generating airbyte_ctes/MT/_AIRBYTE_MT_SPEED_USERVESSEL_AB1.sql from speed_uservessel
2022-07-12 17:37:05 normalization >   Generating airbyte_ctes/MT/_AIRBYTE_MT_SPEED_USERVESSEL_AB2.sql from speed_uservessel
2022-07-12 17:37:05 normalization >   Generating airbyte_ctes/MT/_AIRBYTE_MT_SPEED_USERVESSEL_AB3.sql from speed_uservessel
2022-07-12 17:37:05 normalization >   Generating airbyte_incremental/MT/MT_SPEED_USERVESSEL.sql from speed_uservessel
2022-07-12 17:37:05 normalization >   Generating airbyte_ctes/TEEKAY/_AIRBYTE_TEEKAY_SPEED_USERVESSEL_AB1.sql from speed_uservessel
2022-07-12 17:37:05 normalization >   Generating airbyte_ctes/TEEKAY/_AIRBYTE_TEEKAY_SPEED_USERVESSEL_AB2.sql from speed_uservessel
2022-07-12 17:37:05 normalization >   Generating airbyte_ctes/TEEKAY/_AIRBYTE_TEEKAY_SPEED_USERVESSEL_AB3.sql from speed_uservessel
2022-07-12 17:37:05 normalization >   Generating airbyte_incremental/TEEKAY/TEEKAY_SPEED_USERVESSEL.sql from speed_uservessel
2022-07-12 17:37:05 normalization >   Generating airbyte_ctes/CARGILL/_AIRBYTE_CARGILL_SPEED_USERVESSEL_AB1.sql from speed_uservessel
2022-07-12 17:37:05 normalization >   Generating airbyte_ctes/CARGILL/_AIRBYTE_CARGILL_SPEED_USERVESSEL_AB2.sql from speed_uservessel
2022-07-12 17:37:05 normalization >   Generating airbyte_ctes/CARGILL/_AIRBYTE_CARGILL_SPEED_USERVESSEL_AB3.sql from speed_uservessel
2022-07-12 17:37:05 normalization >   Generating airbyte_incremental/CARGILL/CARGILL_SPEED_USERVESSEL.sql from speed_uservessel
2022-07-12 17:37:05 normalization >   Generating airbyte_ctes/MT/_AIRBYTE_MT_SPEED_VESSELSPEEDPROFILE_AB1.sql from speed_vesselspeedprofile
2022-07-12 17:37:05 normalization >   Generating airbyte_ctes/MT/_AIRBYTE_MT_SPEED_VESSELSPEEDPROFILE_AB2.sql from speed_vesselspeedprofile
2022-07-12 17:37:05 normalization >   Generating airbyte_ctes/MT/_AIRBYTE_MT_SPEED_VESSELSPEEDPROFILE_AB3.sql from speed_vesselspeedprofile
2022-07-12 17:37:05 normalization >   Generating airbyte_incremental/MT/MT_SPEED_VESSELSPEEDPROFILE.sql from speed_vesselspeedprofile
2022-07-12 17:37:05 normalization >   Generating airbyte_ctes/TEEKAY/_AIRBYTE_TEEKAY_SPEED_VESSELSPEEDPROFILE_AB1.sql from speed_vesselspeedprofile
2022-07-12 17:37:05 normalization >   Generating airbyte_ctes/TEEKAY/_AIRBYTE_TEEKAY_SPEED_VESSELSPEEDPROFILE_AB2.sql from speed_vesselspeedprofile
2022-07-12 17:37:05 normalization >   Generating airbyte_ctes/TEEKAY/_AIRBYTE_TEEKAY_SPEED_VESSELSPEEDPROFILE_AB3.sql from speed_vesselspeedprofile
2022-07-12 17:37:05 normalization >   Generating airbyte_incremental/TEEKAY/TEEKAY_SPEED_VESSELSPEEDPROFILE.sql from speed_vesselspeedprofile
2022-07-12 17:37:05 normalization >   Generating airbyte_ctes/CARGILL/_AIRBYTE_CARGILL_SPEED_VESSELSPEEDPROFILE_AB1.sql from speed_vesselspeedprofile
2022-07-12 17:37:05 normalization >   Generating airbyte_ctes/CARGILL/_AIRBYTE_CARGILL_SPEED_VESSELSPEEDPROFILE_AB2.sql from speed_vesselspeedprofile
2022-07-12 17:37:05 normalization >   Generating airbyte_ctes/CARGILL/_AIRBYTE_CARGILL_SPEED_VESSELSPEEDPROFILE_AB3.sql from speed_vesselspeedprofile
2022-07-12 17:37:05 normalization >   Generating airbyte_incremental/CARGILL/CARGILL_SPEED_VESSELSPEEDPROFILE.sql from speed_vesselspeedprofile
2022-07-12 17:37:05 normalization >   Generating airbyte_ctes/MT/_AIRBYTE_MT_SPEED_VOYAGELEGFINALSTATS_AB1.sql from speed_voyagelegfinalstats
2022-07-12 17:37:05 normalization >   Generating airbyte_ctes/MT/_AIRBYTE_MT_SPEED_VOYAGELEGFINALSTATS_AB2.sql from speed_voyagelegfinalstats
2022-07-12 17:37:05 normalization >   Generating airbyte_ctes/MT/_AIRBYTE_MT_SPEED_VOYAGELEGFINALSTATS_AB3.sql from speed_voyagelegfinalstats
2022-07-12 17:37:05 normalization >   Generating airbyte_incremental/MT/MT_SPEED_VOYAGELEGFINALSTATS.sql from speed_voyagelegfinalstats
2022-07-12 17:37:05 normalization >   Generating airbyte_ctes/TEEKAY/_AIRBYTE_TEEKAY_SPEED_VOYAGELEGFINALSTATS_AB1.sql from speed_voyagelegfinalstats
2022-07-12 17:37:05 normalization >   Generating airbyte_ctes/TEEKAY/_AIRBYTE_TEEKAY_SPEED_VOYAGELEGFINALSTATS_AB2.sql from speed_voyagelegfinalstats
2022-07-12 17:37:05 normalization >   Generating airbyte_ctes/TEEKAY/_AIRBYTE_TEEKAY_SPEED_VOYAGELEGFINALSTATS_AB3.sql from speed_voyagelegfinalstats
2022-07-12 17:37:05 normalization >   Generating airbyte_incremental/TEEKAY/TEEKAY_SPEED_VOYAGELEGFINALSTATS.sql from speed_voyagelegfinalstats
2022-07-12 17:37:05 normalization >   Generating airbyte_ctes/CARGILL/_AIRBYTE_CARGILL_SPEED_VOYAGELEGFINALSTATS_AB1.sql from speed_voyagelegfinalstats
2022-07-12 17:37:05 normalization >   Generating airbyte_ctes/CARGILL/_AIRBYTE_CARGILL_SPEED_VOYAGELEGFINALSTATS_AB2.sql from speed_voyagelegfinalstats
2022-07-12 17:37:05 normalization >   Generating airbyte_ctes/CARGILL/_AIRBYTE_CARGILL_SPEED_VOYAGELEGFINALSTATS_AB3.sql from speed_voyagelegfinalstats
2022-07-12 17:37:05 normalization >   Generating airbyte_incremental/CARGILL/CARGILL_SPEED_VOYAGELEGFINALSTATS.sql from speed_voyagelegfinalstats
2022-07-12 17:37:05 normalization >   Generating airbyte_ctes/MT/_AIRBYTE_MT_SPEED_VOYAGELEGSTATUS_AB1.sql from speed_voyagelegstatus
2022-07-12 17:37:05 normalization >   Generating airbyte_ctes/MT/_AIRBYTE_MT_SPEED_VOYAGELEGSTATUS_AB2.sql from speed_voyagelegstatus
2022-07-12 17:37:05 normalization >   Generating airbyte_ctes/MT/_AIRBYTE_MT_SPEED_VOYAGELEGSTATUS_AB3.sql from speed_voyagelegstatus
2022-07-12 17:37:05 normalization >   Generating airbyte_incremental/MT/MT_SPEED_VOYAGELEGSTATUS.sql from speed_voyagelegstatus
2022-07-12 17:37:05 normalization >   Generating airbyte_ctes/TEEKAY/_AIRBYTE_TEEKAY_SPEED_VOYAGELEGSTATUS_AB1.sql from speed_voyagelegstatus
2022-07-12 17:37:05 normalization >   Generating airbyte_ctes/TEEKAY/_AIRBYTE_TEEKAY_SPEED_VOYAGELEGSTATUS_AB2.sql from speed_voyagelegstatus
2022-07-12 17:37:05 normalization >   Generating airbyte_ctes/TEEKAY/_AIRBYTE_TEEKAY_SPEED_VOYAGELEGSTATUS_AB3.sql from speed_voyagelegstatus
2022-07-12 17:37:05 normalization >   Generating airbyte_incremental/TEEKAY/TEEKAY_SPEED_VOYAGELEGSTATUS.sql from speed_voyagelegstatus
2022-07-12 17:37:05 normalization >   Generating airbyte_ctes/CARGILL/_AIRBYTE_CARGILL_SPEED_VOYAGELEGSTATUS_AB1.sql from speed_voyagelegstatus
2022-07-12 17:37:05 normalization >   Generating airbyte_ctes/CARGILL/_AIRBYTE_CARGILL_SPEED_VOYAGELEGSTATUS_AB2.sql from speed_voyagelegstatus
2022-07-12 17:37:05 normalization >   Generating airbyte_ctes/CARGILL/_AIRBYTE_CARGILL_SPEED_VOYAGELEGSTATUS_AB3.sql from speed_voyagelegstatus
2022-07-12 17:37:05 normalization >   Generating airbyte_incremental/CARGILL/CARGILL_SPEED_VOYAGELEGSTATUS.sql from speed_voyagelegstatus
2022-07-12 17:37:05 normalization > detected no config file for ssh, assuming ssh is off.
2022-07-12 17:37:09 normalization >            [--event-buffer-size EVENT_BUFFER_SIZE]
2022-07-12 17:37:09 normalization >   --event-buffer-size EVENT_BUFFER_SIZE
2022-07-12 17:37:09 normalization > 
2022-07-12 17:37:09 normalization > DBT >=1.0.0 detected; using 10K event buffer size
2022-07-12 17:37:09 normalization > 
2022-07-12 17:36:54 INFO i.a.w.g.DefaultReplicationWorker(lambda$getDestinationOutputRunnable$7):415 - State in DefaultReplicationWorker from destination: io.airbyte.protocol.models.AirbyteMessage@884a09e[type=STATE,log=<null>,spec=<null>,connectionStatus=<null>,catalog=<null>,record=<null>,state=io.airbyte.protocol.models.AirbyteStateMessage@15b16e3[type=STREAM,stream=io.airbyte.protocol.models.AirbyteStreamState@afd1e82[streamDescriptor=io.airbyte.protocol.models.StreamDescriptor@78fec21a[name=speed_assumesegmentconsumption,namespace=cargill,additionalProperties={}],streamState={"stream_name":"speed_assumesegmentconsumption","stream_namespace":"cargill","cursor_field":["updated_at"],"cursor":"2021-06-04T07:46:18.312850Z"},additionalProperties={}],global=<null>,data={"cdc":false,"streams":[{"stream_name":"simbunker_quantificationbaselinespeed","stream_namespace":"cargill","cursor_field":["updated_at"]},{"stream_name":"simbunker_quantificationbaselinespeed","stream_namespace":"mt","cursor_field":["updated_at"],"cursor":"2019-09-11T12:29:20.805733Z"},{"stream_name":"simbunker_quantificationbaselinespeed","stream_namespace":"teekay","cursor_field":["updated_at"]},{"stream_name":"simbunker_speedorder","stream_namespace":"cargill","cursor_field":["updated_at"]},{"stream_name":"simbunker_speedorder","stream_namespace":"mt","cursor_field":["updated_at"],"cursor":"2020-04-15T08:16:07.484929Z"},{"stream_name":"simbunker_speedorder","stream_namespace":"teekay","cursor_field":["updated_at"]},{"stream_name":"simbunker_speedresponse","stream_namespace":"cargill","cursor_field":["updated_at"],"cursor":"2019-12-13T15:17:50.179217Z"},{"stream_name":"simbunker_speedresponse","stream_namespace":"mt","cursor_field":["updated_at"],"cursor":"2020-04-15T14:45:47.357797Z"},{"stream_name":"simbunker_speedresponse","stream_namespace":"teekay","cursor_field":["updated_at"]},{"stream_name":"speed_assumesegmentconsumption","stream_namespace":"cargill","cursor_field":["updated_at"],"cursor":"2021-06-04T07:46:18.312850Z"},{"stream_name":"speed_assumesegmentconsumption","stream_namespace":"mt","cursor_field":["updated_at"],"cursor":"2021-07-28T15:50:49.306642Z"},{"stream_name":"speed_assumesegmentconsumption","stream_namespace":"teekay","cursor_field":["updated_at"]},{"stream_name":"speed_scheduledoptimizationresult","stream_namespace":"cargill","cursor_field":["updated_at"]},{"stream_name":"speed_scheduledoptimizationresult","stream_namespace":"mt","cursor_field":["updated_at"]},{"stream_name":"speed_scheduledoptimizationresult","stream_namespace":"teekay","cursor_field":["updated_at"]},{"stream_name":"speed_snoozevessel","stream_namespace":"cargill","cursor_field":["updated_at"]},{"stream_name":"speed_snoozevessel","stream_namespace":"mt","cursor_field":["updated_at"]},{"stream_name":"speed_snoozevessel","stream_namespace":"teekay","cursor_field":["updated_at"]},{"stream_name":"speed_speednotification","stream_namespace":"cargill","cursor_field":["updated_at"]},{"stream_name":"speed_speednotification","stream_namespace":"mt","cursor_field":["updated_at"]},{"stream_name":"speed_speednotification","stream_namespace":"teekay","cursor_field":["updated_at"]},{"stream_name":"speed_speedplan","stream_namespace":"cargill","cursor_field":["updated_at"]},{"stream_name":"speed_speedplan","stream_namespace":"mt","cursor_field":["updated_at"]},{"stream_name":"speed_speedplan","stream_namespace":"teekay","cursor_field":["updated_at"]},{"stream_name":"speed_speedplaninput","stream_namespace":"cargill","cursor_field":["updated_at"]},{"stream_name":"speed_speedplaninput","stream_namespace":"mt","cursor_field":["updated_at"]},{"stream_name":"speed_speedplaninput","stream_namespace":"teekay","cursor_field":["updated_at"]},{"stream_name":"speed_speedplaninputviapoint","stream_namespace":"cargill","cursor_field":["updated_at"]},{"stream_name":"speed_speedplaninputviapoint","stream_namespace":"mt","cursor_field":["updated_at"]},{"stream_name":"speed_speedplaninputviapoint","stream_namespace":"teekay","cursor_field":["updated_at"]},{"stream_name":"speed_speedplansegment","stream_namespace":"cargill","cursor_field":["updated_at"]},{"stream_name":"speed_speedplansegment","stream_namespace":"mt","cursor_field":["updated_at"]},{"stream_name":"speed_speedplansegment","stream_namespace":"teekay","cursor_field":["updated_at"]},{"stream_name":"speed_speedplanwarrantedspeed","stream_namespace":"cargill","cursor_field":["updated_at"]},{"stream_name":"speed_speedplanwarrantedspeed","stream_namespace":"mt","cursor_field":["updated_at"]},{"stream_name":"speed_speedplanwarrantedspeed","stream_namespace":"teekay","cursor_field":["updated_at"]},{"stream_name":"speed_speedvoyageleg","stream_namespace":"cargill","cursor_field":["updated_at"]},{"stream_name":"speed_speedvoyageleg","stream_namespace":"mt","cursor_field":["updated_at"]},{"stream_name":"speed_speedvoyageleg","stream_namespace":"teekay","cursor_field":["updated_at"]},{"stream_name":"speed_speedvoyagelegmetrics","stream_namespace":"cargill","cursor_field":["updated_at"]},{"stream_name":"speed_speedvoyagelegmetrics","stream_namespace":"mt","cursor_field":["updated_at"]},{"stream_name":"speed_speedvoyagelegmetrics","stream_namespace":"teekay","cursor_field":["updated_at"]},{"stream_name":"speed_uservessel","stream_namespace":"cargill","cursor_field":["updated_at"]},{"stream_name":"speed_uservessel","stream_namespace":"mt","cursor_field":["updated_at"]},{"stream_name":"speed_uservessel","stream_namespace":"teekay","cursor_field":["updated_at"]},{"stream_name":"speed_vesselspeedprofile","stream_namespace":"cargill","cursor_field":["updated_at"]},{"stream_name":"speed_vesselspeedprofile","stream_namespace":"mt","cursor_field":["updated_at"]},{"stream_name":"speed_vesselspeedprofile","stream_namespace":"teekay","cursor_field":["updated_at"]},{"stream_name":"speed_voyagelegfinalstats","stream_namespace":"cargill","cursor_field":["updated_at"]},{"stream_name":"speed_voyagelegfinalstats","stream_namespace":"mt","cursor_field":["updated_at"]},{"stream_name":"speed_voyagelegfinalstats","stream_namespace":"teekay","cursor_field":["updated_at"]},{"stream_name":"speed_voyagelegstatus","stream_namespace":"cargill","cursor_field":["updated_at"]},{"stream_name":"speed_voyagelegstatus","stream_namespace":"mt","cursor_field":["updated_at"]},{"stream_name":"speed_voyagelegstatus","stream_namespace":"teekay","cursor_field":["updated_at"]}]},additionalProperties={}],trace=<null>,additionalProperties={}]
2022-07-12 17:36:54 INFO i.a.w.g.DefaultReplicationWorker(lambda$getDestinationOutputRunnable$7):415 - State in DefaultReplicationWorker from destination: io.airbyte.protocol.models.AirbyteMessage@6e0df38c[type=STATE,log=<null>,spec=<null>,connectionStatus=<null>,catalog=<null>,record=<null>,state=io.airbyte.protocol.models.AirbyteStateMessage@60ed0245[type=STREAM,stream=io.airbyte.protocol.models.AirbyteStreamState@2d9de6c6[streamDescriptor=io.airbyte.protocol.models.StreamDescriptor@16ec3cec[name=speed_scheduledoptimizationresult,namespace=cargill,additionalProperties={}],streamState={"stream_name":"speed_scheduledoptimizationresult","stream_namespace":"cargill","cursor_field":["updated_at"],"cursor":"2022-07-12T01:08:41.281575Z"},additionalProperties={}],global=<null>,data={"cdc":false,"streams":[{"stream_name":"simbunker_quantificationbaselinespeed","stream_namespace":"cargill","cursor_field":["updated_at"]},{"stream_name":"simbunker_quantificationbaselinespeed","stream_namespace":"mt","cursor_field":["updated_at"],"cursor":"2019-09-11T12:29:20.805733Z"},{"stream_name":"simbunker_quantificationbaselinespeed","stream_namespace":"teekay","cursor_field":["updated_at"]},{"stream_name":"simbunker_speedorder","stream_namespace":"cargill","cursor_field":["updated_at"]},{"stream_name":"simbunker_speedorder","stream_namespace":"mt","cursor_field":["updated_at"],"cursor":"2020-04-15T08:16:07.484929Z"},{"stream_name":"simbunker_speedorder","stream_namespace":"teekay","cursor_field":["updated_at"]},{"stream_name":"simbunker_speedresponse","stream_namespace":"cargill","cursor_field":["updated_at"],"cursor":"2019-12-13T15:17:50.179217Z"},{"stream_name":"simbunker_speedresponse","stream_namespace":"mt","cursor_field":["updated_at"],"cursor":"2020-04-15T14:45:47.357797Z"},{"stream_name":"simbunker_speedresponse","stream_namespace":"teekay","cursor_field":["updated_at"]},{"stream_name":"speed_assumesegmentconsumption","stream_namespace":"cargill","cursor_field":["updated_at"],"cursor":"2021-06-04T07:46:18.312850Z"},{"stream_name":"speed_assumesegmentconsumption","stream_namespace":"mt","cursor_field":["updated_at"],"cursor":"2021-07-28T15:50:49.306642Z"},{"stream_name":"speed_assumesegmentconsumption","stream_namespace":"teekay","cursor_field":["updated_at"]},{"stream_name":"speed_scheduledoptimizationresult","stream_namespace":"cargill","cursor_field":["updated_at"],"cursor":"2022-07-12T01:08:41.281575Z"},{"stream_name":"speed_scheduledoptimizationresult","stream_namespace":"mt","cursor_field":["updated_at"],"cursor":"2022-07-12T01:08:41.215888Z"},{"stream_name":"speed_scheduledoptimizationresult","stream_namespace":"teekay","cursor_field":["updated_at"],"cursor":"2022-07-12T01:06:33.182107Z"},{"stream_name":"speed_snoozevessel","stream_namespace":"cargill","cursor_field":["updated_at"]},{"stream_name":"speed_snoozevessel","stream_namespace":"mt","cursor_field":["updated_at"]},{"stream_name":"speed_snoozevessel","stream_namespace":"teekay","cursor_field":["updated_at"]},{"stream_name":"speed_speednotification","stream_namespace":"cargill","cursor_field":["updated_at"]},{"stream_name":"speed_speednotification","stream_namespace":"mt","cursor_field":["updated_at"]},{"stream_name":"speed_speednotification","stream_namespace":"teekay","cursor_field":["updated_at"]},{"stream_name":"speed_speedplan","stream_namespace":"cargill","cursor_field":["updated_at"]},{"stream_name":"speed_speedplan","stream_namespace":"mt","cursor_field":["updated_at"]},{"stream_name":"speed_speedplan","stream_namespace":"teekay","cursor_field":["updated_at"]},{"stream_name":"speed_speedplaninput","stream_namespace":"cargill","cursor_field":["updated_at"]},{"stream_name":"speed_speedplaninput","stream_namespace":"mt","cursor_field":["updated_at"]},{"stream_name":"speed_speedplaninput","stream_namespace":"teekay","cursor_field":["updated_at"]},{"stream_name":"speed_speedplaninputviapoint","stream_namespace":"cargill","cursor_field":["updated_at"]},{"stream_name":"speed_speedplaninputviapoint","stream_namespace":"mt","cursor_field":["updated_at"]},{"stream_name":"speed_speedplaninputviapoint","stream_namespace":"teekay","cursor_field":["updated_at"]},{"stream_name":"speed_speedplansegment","stream_namespace":"cargill","cursor_field":["updated_at"]},{"stream_name":"speed_speedplansegment","stream_namespace":"mt","cursor_field":["updated_at"]},{"stream_name":"speed_speedplansegment","stream_namespace":"teekay","cursor_field":["updated_at"]},{"stream_name":"speed_speedplanwarrantedspeed","stream_namespace":"cargill","cursor_field":["updated_at"]},{"stream_name":"speed_speedplanwarrantedspeed","stream_namespace":"mt","cursor_field":["updated_at"]},{"stream_name":"speed_speedplanwarrantedspeed","stream_namespace":"teekay","cursor_field":["updated_at"]},{"stream_name":"speed_speedvoyageleg",
2022-07-13 00:43:30 normalization >     convert_timezone('UTC', current_timestamp()) as _AIRBYTE_NORMALIZED_AT,
2022-07-13 00:43:30 normalization >     _AIRBYTE_SPEED_VOYAGELEGSTATUS_HASHID
2022-07-13 00:43:30 normalization > from __dbt__cte___AIRBYTE_CARGILL_SPEED_VOYAGELEGSTATUS_AB3
2022-07-13 00:43:30 normalization > -- SPEED_VOYAGELEGSTATUS from "DEV_LANDING".CARGILL._AIRBYTE_RAW_SPEED_VOYAGELEGSTATUS
2022-07-13 00:43:30 normalization > where 1 = 1
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization >     
2022-07-13 00:43:30 normalization > and cast(_AIRBYTE_EMITTED_AT as 
2022-07-13 00:43:30 normalization >     timestamp with time zone
2022-07-13 00:43:30 normalization > ) >=
2022-07-13 00:43:30 normalization >     cast('2022-07-12 17:47:22.629000-07:00' as 
2022-07-13 00:43:30 normalization >     timestamp with time zone
2022-07-13 00:43:30 normalization > )
2022-07-13 00:43:30 normalization >     
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization >             ) order by (_AIRBYTE_EMITTED_AT)
2022-07-13 00:43:30 normalization >       );
2022-07-13 00:43:30 normalization > 00:36:02.351983 [debug] [Thread-5  ]: SQL status: SUCCESS 1 in 2.4 seconds
2022-07-13 00:43:30 normalization > 00:36:02.361562 [debug] [Thread-5  ]: Using snowflake connection "model.airbyte_utils.CARGILL_SPEED_VOYAGELEGFINALSTATS"
2022-07-13 00:43:30 normalization > 00:36:02.361957 [debug] [Thread-5  ]: On model.airbyte_utils.CARGILL_SPEED_VOYAGELEGFINALSTATS: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.CARGILL_SPEED_VOYAGELEGFINALSTATS"} */
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization >     describe table "DEV_LANDING".CARGILL."SPEED_VOYAGELEGFINALSTATS__dbt_tmp"
2022-07-13 00:43:30 normalization > 00:36:02.424935 [debug] [Thread-5  ]: SQL status: SUCCESS 36 in 0.06 seconds
2022-07-13 00:43:30 normalization > 00:36:02.434229 [debug] [Thread-5  ]: Using snowflake connection "model.airbyte_utils.CARGILL_SPEED_VOYAGELEGFINALSTATS"
2022-07-13 00:43:30 normalization > 00:36:02.434654 [debug] [Thread-5  ]: On model.airbyte_utils.CARGILL_SPEED_VOYAGELEGFINALSTATS: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.CARGILL_SPEED_VOYAGELEGFINALSTATS"} */
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization >     describe table "DEV_LANDING".CARGILL."SPEED_VOYAGELEGFINALSTATS"
2022-07-13 00:43:30 normalization > 00:36:02.487945 [debug] [Thread-5  ]: SQL status: SUCCESS 36 in 0.05 seconds
2022-07-13 00:43:30 normalization > 00:36:02.498431 [debug] [Thread-5  ]: Using snowflake connection "model.airbyte_utils.CARGILL_SPEED_VOYAGELEGFINALSTATS"
2022-07-13 00:43:30 normalization > 00:36:02.498838 [debug] [Thread-5  ]: On model.airbyte_utils.CARGILL_SPEED_VOYAGELEGFINALSTATS: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.CARGILL_SPEED_VOYAGELEGFINALSTATS"} */
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization >     describe table "DEV_LANDING".CARGILL."SPEED_VOYAGELEGFINALSTATS__dbt_tmp"
2022-07-13 00:43:30 normalization > 00:36:02.656254 [debug] [Thread-5  ]: SQL status: SUCCESS 36 in 0.16 seconds
2022-07-13 00:43:30 normalization > 00:36:02.668667 [debug] [Thread-5  ]: Using snowflake connection "model.airbyte_utils.CARGILL_SPEED_VOYAGELEGFINALSTATS"
2022-07-13 00:43:30 normalization > 00:36:02.669063 [debug] [Thread-5  ]: On model.airbyte_utils.CARGILL_SPEED_VOYAGELEGFINALSTATS: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.CARGILL_SPEED_VOYAGELEGFINALSTATS"} */
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization >     describe table "DEV_LANDING"."CARGILL"."SPEED_VOYAGELEGFINALSTATS"
2022-07-13 00:43:30 normalization > 00:36:02.833707 [debug] [Thread-5  ]: SQL status: SUCCESS 36 in 0.16 seconds
2022-07-13 00:43:30 normalization > 00:36:02.852860 [debug] [Thread-5  ]: 
2022-07-13 00:43:30 normalization >     In "DEV_LANDING"."CARGILL"."SPEED_VOYAGELEGFINALSTATS":
2022-07-13 00:43:30 normalization >         Schema changed: False
2022-07-13 00:43:30 normalization >         Source columns not in target: []
2022-07-13 00:43:30 normalization >         Target columns not in source: []
2022-07-13 00:43:30 normalization >         New column types: []
2022-07-13 00:43:30 normalization >   
2022-07-13 00:43:30 normalization > 00:36:02.857485 [debug] [Thread-5  ]: Writing runtime SQL for node "model.airbyte_utils.CARGILL_SPEED_VOYAGELEGFINALSTATS"
2022-07-13 00:43:30 normalization > 00:36:02.862760 [debug] [Thread-5  ]: Using snowflake connection "model.airbyte_utils.CARGILL_SPEED_VOYAGELEGFINALSTATS"
2022-07-13 00:43:30 normalization > 00:36:02.863205 [debug] [Thread-5  ]: On model.airbyte_utils.CARGILL_SPEED_VOYAGELEGFINALSTATS: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.CARGILL_SPEED_VOYAGELEGFINALSTATS"} */
2022-07-13 00:43:30 normalization > begin;
2022-07-13 00:43:30 normalization > 00:36:02.933552 [debug] [Thread-5  ]: SQL status: SUCCESS 1 in 0.07 seconds
2022-07-13 00:43:30 normalization > 00:36:02.934307 [debug] [Thread-5  ]: Using snowflake connection "model.airbyte_utils.CARGILL_SPEED_VOYAGELEGFINALSTATS"
2022-07-13 00:43:30 normalization > 00:36:02.934632 [debug] [Thread-5  ]: On model.airbyte_utils.CARGILL_SPEED_VOYAGELEGFINALSTATS: merge into "DEV_LANDING".CARGILL."SPEED_VOYAGELEGFINALSTATS" as DBT_INTERNAL_DEST
2022-07-13 00:43:30 normalization >         using "DEV_LANDING".CARGILL."SPEED_VOYAGELEGFINALSTATS__dbt_tmp" as DBT_INTERNAL_SOURCE
2022-07-13 00:43:30 normalization >         on 
2022-07-13 00:43:30 normalization >             DBT_INTERNAL_SOURCE._AIRBYTE_AB_ID = DBT_INTERNAL_DEST._AIRBYTE_AB_ID
2022-07-13 00:43:30 normalization >         
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization >     
2022-07-13 00:43:30 normalization >     when matched then update set
2022-07-13 00:43:30 normalization >         "ID" = DBT_INTERNAL_SOURCE."ID","END_DATE" = DBT_INTERNAL_SOURCE."END_DATE","CREATED_AT" = DBT_INTERNAL_SOURCE."CREATED_AT","START_DATE" = DBT_INTERNAL_SOURCE."START_DATE","UPDATED_AT" = DBT_INTERNAL_SOURCE."UPDATED_AT","MARKET_RATE" = DBT_INTERNAL_SOURCE."MARKET_RATE","OPTIMAL_CO2" = DBT_INTERNAL_SOURCE."OPTIMAL_CO2","BASELINE_CO2" = DBT_INTERNAL_SOURCE."BASELINE_CO2","REALIZED_CO2" = DBT_INTERNAL_SOURCE."REALIZED_CO2","VESSEL_STATUS" = DBT_INTERNAL_SOURCE."VESSEL_STATUS","VOYAGE_LEG_ID" = DBT_INTERNAL_SOURCE."VOYAGE_LEG_ID","ARRIVAL_PORT_ID" = DBT_INTERNAL_SOURCE."ARRIVAL_PORT_ID","ARRIVAL_LATITUDE" = DBT_INTERNAL_SOURCE."ARRIVAL_LATITUDE","OPTIMAL_DURATION" = DBT_INTERNAL_SOURCE."OPTIMAL_DURATION","ARRIVAL_LONGITUDE" = DBT_INTERNAL_SOURCE."ARRIVAL_LONGITUDE","BASELINE_DURATION" = DBT_INTERNAL_SOURCE."BASELINE_DURATION","DEPARTURE_PORT_ID" = DBT_INTERNAL_SOURCE."DEPARTURE_PORT_ID","REALIZED_DURATION" = DBT_INTERNAL_SOURCE."REALIZED_DURATION","DEPARTURE_LATITUDE" = DBT_INTERNAL_SOURCE."DEPARTURE_LATITUDE","DEPARTURE_LONGITUDE" = DBT_INTERNAL_SOURCE."DEPARTURE_LONGITUDE","OPTIMAL_UPSIDE_TOTAL" = DBT_INTERNAL_SOURCE."OPTIMAL_UPSIDE_TOTAL","REALIZED_UPSIDE_TOTAL" = DBT_INTERNAL_SOURCE."REALIZED_UPSIDE_TOTAL","OPTIMAL_UPSIDE_PER_DAY" = DBT_INTERNAL_SOURCE."OPTIMAL_UPSIDE_PER_DAY","REALIZED_UPSIDE_PER_DAY" = DBT_INTERNAL_SOURCE."REALIZED_UPSIDE_PER_DAY","BUNKER_PRICE_INSIDE_SECA" = DBT_INTERNAL_SOURCE."BUNKER_PRICE_INSIDE_SECA","BUNKER_PRICE_OUTSIDE_SECA" = DBT_INTERNAL_SOURCE."BUNKER_PRICE_OUTSIDE_SECA","OPTIMAL_CONSUMPTION_INSIDE_SECA" = DBT_INTERNAL_SOURCE."OPTIMAL_CONSUMPTION_INSIDE_SECA","BASELINE_CONSUMPTION_INSIDE_SECA" = DBT_INTERNAL_SOURCE."BASELINE_CONSUMPTION_INSIDE_SECA","OPTIMAL_CONSUMPTION_OUTSIDE_SECA" = DBT_INTERNAL_SOURCE."OPTIMAL_CONSUMPTION_OUTSIDE_SECA","REALIZED_CONSUMPTION_INSIDE_SECA" = DBT_INTERNAL_SOURCE."REALIZED_CONSUMPTION_INSIDE_SECA","BASELINE_CONSUMPTION_OUTSIDE_SECA" = DBT_INTERNAL_SOURCE."BASELINE_CONSUMPTION_OUTSIDE_SECA","REALIZED_CONSUMPTION_OUTSIDE_SECA" = DBT_INTERNAL_SOURCE."REALIZED_CONSUMPTION_OUTSIDE_SECA","_AIRBYTE_AB_ID" = DBT_INTERNAL_SOURCE."_AIRBYTE_AB_ID","_AIRBYTE_EMITTED_AT" = DBT_INTERNAL_SOURCE."_AIRBYTE_EMITTED_AT","_AIRBYTE_NORMALIZED_AT" = DBT_INTERNAL_SOURCE."_AIRBYTE_NORMALIZED_AT","_AIRBYTE_SPEED_VOYAGELEGFINALSTATS_HASHID" = DBT_INTERNAL_SOURCE."_AIRBYTE_SPEED_VOYAGELEGFINALSTATS_HASHID"
2022-07-13 00:43:30 normalization >     
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization >     when not matched then insert
2022-07-13 00:43:30 normalization >         ("ID", "END_DATE", "CREATED_AT", "START_DATE", "UPDATED_AT", "MARKET_RATE", "OPTIMAL_CO2", "BASELINE_CO2", "REALIZED_CO2", "VESSEL_STATUS", "VOYAGE_LEG_ID", "ARRIVAL_PORT_ID", "ARRIVAL_LATITUDE", "OPTIMAL_DURATION", "ARRIVAL_LONGITUDE", "BASELINE_DURATION", "DEPARTURE_PORT_ID", "REALIZED_DURATION", "DEPARTURE_LATITUDE", "DEPARTURE_LONGITUDE", "OPTIMAL_UPSIDE_TOTAL", "REALIZED_UPSIDE_TOTAL", "OPTIMAL_UPSIDE_PER_DAY", "REALIZED_UPSIDE_PER_DAY", "BUNKER_PRICE_INSIDE_SECA", "BUNKER_PRICE_OUTSIDE_SECA", "OPTIMAL_CONSUMPTION_INSIDE_SECA", "BASELINE_CONSUMPTION_INSIDE_SECA", "OPTIMAL_CONSUMPTION_OUTSIDE_SECA", "REALIZED_CONSUMPTION_INSIDE_SECA", "BASELINE_CONSUMPTION_OUTSIDE_SECA", "REALIZED_CONSUMPTION_OUTSIDE_SECA", "_AIRBYTE_AB_ID", "_AIRBYTE_EMITTED_AT", "_AIRBYTE_NORMALIZED_AT", "_AIRBYTE_SPEED_VOYAGELEGFINALSTATS_HASHID")
2022-07-13 00:43:30 normalization >     values
2022-07-13 00:43:30 normalization >         ("ID", "END_DATE", "CREATED_AT", "START_DATE", "UPDATED_AT", "MARKET_RATE", "OPTIMAL_CO2", "BASELINE_CO2", "REALIZED_CO2", "VESSEL_STATUS", "VOYAGE_LEG_ID", "ARRIVAL_PORT_ID", "ARRIVAL_LATITUDE", "OPTIMAL_DURATION", "ARRIVAL_LONGITUDE", "BASELINE_DURATION", "DEPARTURE_PORT_ID", "REALIZED_DURATION", "DEPARTURE_LATITUDE", "DEPARTURE_LONGITUDE", "OPTIMAL_UPSIDE_TOTAL", "REALIZED_UPSIDE_TOTAL", "OPTIMAL_UPSIDE_PER_DAY", "REALIZED_UPSIDE_PER_DAY", "BUNKER_PRICE_INSIDE_SECA", "BUNKER_PRICE_OUTSIDE_SECA", "OPTIMAL_CONSUMPTION_INSIDE_SECA", "BASELINE_CONSUMPTION_INSIDE_SECA", "OPTIMAL_CONSUMPTION_OUTSIDE_SECA", "REALIZED_CONSUMPTION_INSIDE_SECA", "BASELINE_CONSUMPTION_OUTSIDE_SECA", "REALIZED_CONSUMPTION_OUTSIDE_SECA", "_AIRBYTE_AB_ID", "_AIRBYTE_EMITTED_AT", "_AIRBYTE_NORMALIZED_AT", "_AIRBYTE_SPEED_VOYAGELEGFINALSTATS_HASHID")
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization > ;
2022-07-13 00:43:30 normalization > 00:36:05.041311 [debug] [Thread-5  ]: SQL status: SUCCESS 13099 in 2.11 seconds
2022-07-13 00:43:30 normalization > 00:36:05.041739 [debug] [Thread-5  ]: Using snowflake connection "model.airbyte_utils.CARGILL_SPEED_VOYAGELEGFINALSTATS"
2022-07-13 00:43:30 normalization > 00:36:05.042008 [debug] [Thread-5  ]: On model.airbyte_utils.CARGILL_SPEED_VOYAGELEGFINALSTATS: commit;
2022-07-13 00:43:30 normalization > 00:36:05.384170 [debug] [Thread-5  ]: SQL status: SUCCESS 1 in 0.34 seconds
2022-07-13 00:43:30 normalization > 00:36:05.583304 [debug] [Thread-5  ]: finished collecting timing info
2022-07-13 00:43:30 normalization > 00:36:05.583966 [debug] [Thread-5  ]: On model.airbyte_utils.CARGILL_SPEED_VOYAGELEGFINALSTATS: Close
2022-07-13 00:43:30 normalization > 00:36:05.741346 [info ] [Thread-5  ]: 20 of 60 OK created incremental model CARGILL.SPEED_VOYAGELEGFINALSTATS................................................. [SUCCESS 1 in 7.42s]
2022-07-13 00:43:30 normalization > 00:36:05.742240 [debug] [Thread-5  ]: Finished running node model.airbyte_utils.CARGILL_SPEED_VOYAGELEGFINALSTATS
2022-07-13 00:43:30 normalization > 00:36:05.742826 [debug] [Thread-5  ]: Began running node model.airbyte_utils.MT_SPEED_ASSUMESEGMENTCONSUMPTION
2022-07-13 00:43:30 normalization > 00:36:05.743925 [info ] [Thread-5  ]: 22 of 60 START incremental model MT.SPEED_ASSUMESEGMENTCONSUMPTION...................................................... [RUN]
2022-07-13 00:43:30 normalization > 00:36:05.745150 [debug] [Thread-5  ]: Acquiring new snowflake connection "model.airbyte_utils.MT_SPEED_ASSUMESEGMENTCONSUMPTION"
2022-07-13 00:43:30 normalization > 00:36:05.745426 [debug] [Thread-5  ]: Began compiling node model.airbyte_utils.MT_SPEED_ASSUMESEGMENTCONSUMPTION
2022-07-13 00:43:30 normalization > 00:36:05.745801 [debug] [Thread-5  ]: Compiling model.airbyte_utils.MT_SPEED_ASSUMESEGMENTCONSUMPTION
2022-07-13 00:43:30 normalization > 00:36:05.841440 [debug] [Thread-5  ]: Using snowflake connection "model.airbyte_utils.MT_SPEED_ASSUMESEGMENTCONSUMPTION"
2022-07-13 00:43:30 normalization > 00:36:05.841933 [debug] [Thread-5  ]: On model.airbyte_utils.MT_SPEED_ASSUMESEGMENTCONSUMPTION: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.MT_SPEED_ASSUMESEGMENTCONSUMPTION"} */
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization >     describe table "DEV_LANDING".MT."SPEED_ASSUMESEGMENTCONSUMPTION"
2022-07-13 00:43:30 normalization > 00:36:05.842194 [debug] [Thread-5  ]: Opening a new connection, currently in state closed
2022-07-13 00:43:30 normalization > 00:36:06.983975 [debug] [Thread-5  ]: SQL status: SUCCESS 10 in 1.14 seconds
2022-07-13 00:43:30 normalization > 00:36:07.087997 [debug] [Thread-5  ]: Using snowflake connection "model.airbyte_utils.MT_SPEED_ASSUMESEGMENTCONSUMPTION"
2022-07-13 00:43:30 normalization > 00:36:07.088521 [debug] [Thread-5  ]: On model.airbyte_utils.MT_SPEED_ASSUMESEGMENTCONSUMPTION: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.MT_SPEED_ASSUMESEGMENTCONSUMPTION"} */
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization >     describe table "DEV_LANDING".MT."SPEED_ASSUMESEGMENTCONSUMPTION"
2022-07-13 00:43:30 normalization > 00:36:07.143468 [debug] [Thread-5  ]: SQL status: SUCCESS 10 in 0.05 seconds
2022-07-13 00:43:30 normalization > 00:36:07.148221 [debug] [Thread-5  ]: Using snowflake connection "model.airbyte_utils.MT_SPEED_ASSUMESEGMENTCONSUMPTION"
2022-07-13 00:43:30 normalization > 00:36:07.148584 [debug] [Thread-5  ]: On model.airbyte_utils.MT_SPEED_ASSUMESEGMENTCONSUMPTION: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.MT_SPEED_ASSUMESEGMENTCONSUMPTION"} */
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization >     
2022-07-13 00:43:30 normalization >         select max(cast(_AIRBYTE_EMITTED_AT as 
2022-07-13 00:43:30 normalization >     timestamp with time zone
2022-07-13 00:43:30 normalization > )) from "DEV_LANDING".MT."SPEED_ASSUMESEGMENTCONSUMPTION"
2022-07-13 00:43:30 normalization > 00:36:07.681989 [debug] [Thread-5  ]: SQL status: SUCCESS 1 in 0.53 seconds
2022-07-13 00:43:30 normalization > 00:36:07.757421 [debug] [Thread-5  ]: Using snowflake connection "model.airbyte_utils.MT_SPEED_ASSUMESEGMENTCONSUMPTION"
2022-07-13 00:43:30 normalization > 00:36:07.757986 [debug] [Thread-5  ]: On model.airbyte_utils.MT_SPEED_ASSUMESEGMENTCONSUMPTION: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.MT_SPEED_ASSUMESEGMENTCONSUMPTION"} */
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization >     describe table "DEV_LANDING".MT."SPEED_ASSUMESEGMENTCONSUMPTION"
2022-07-13 00:43:30 normalization > 00:36:07.804943 [debug] [Thread-5  ]: SQL status: SUCCESS 10 in 0.05 seconds
2022-07-13 00:43:30 normalization > 00:36:07.809933 [debug] [Thread-5  ]: Using snowflake connection "model.airbyte_utils.MT_SPEED_ASSUMESEGMENTCONSUMPTION"
2022-07-13 00:43:30 normalization > 00:36:07.810253 [debug] [Thread-5  ]: On model.airbyte_utils.MT_SPEED_ASSUMESEGMENTCONSUMPTION: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.MT_SPEED_ASSUMESEGMENTCONSUMPTION"} */
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization >     
2022-07-13 00:43:30 normalization >         select max(cast(_AIRBYTE_EMITTED_AT as 
2022-07-13 00:43:30 normalization >     timestamp with time zone
2022-07-13 00:43:30 normalization > )) from "DEV_LANDING".MT."SPEED_ASSUMESEGMENTCONSUMPTION"
2022-07-13 00:43:30 normalization > 00:36:07.858401 [debug] [Thread-5  ]: SQL status: SUCCESS 1 in 0.05 seconds
2022-07-13 00:43:30 normalization > 00:36:07.872816 [debug] [Thread-5  ]: Writing injected SQL for node "model.airbyte_utils.MT_SPEED_ASSUMESEGMENTCONSUMPTION"
2022-07-13 00:43:30 normalization > 00:36:07.873459 [debug] [Thread-5  ]: finished collecting timing info
2022-07-13 00:43:30 normalization > 00:36:07.873751 [debug] [Thread-5  ]: Began executing node model.airbyte_utils.MT_SPEED_ASSUMESEGMENTCONSUMPTION
2022-07-13 00:43:30 normalization > 00:36:07.882760 [debug] [Thread-5  ]: Using snowflake connection "model.airbyte_utils.MT_SPEED_ASSUMESEGMENTCONSUMPTION"
2022-07-13 00:43:30 normalization > 00:36:07.883101 [debug] [Thread-5  ]: On model.airbyte_utils.MT_SPEED_ASSUMESEGMENTCONSUMPTION: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.MT_SPEED_ASSUMESEGMENTCONSUMPTION"} */
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization >     describe table "DEV_LANDING".MT."SPEED_ASSUMESEGMENTCONSUMPTION"
2022-07-13 00:43:30 normalization > 00:36:07.952226 [debug] [Thread-5  ]: SQL status: SUCCESS 10 in 0.07 seconds
2022-07-13 00:43:30 normalization > 00:36:08.084664 [debug] [Thread-5  ]: Using snowflake connection "model.airbyte_utils.MT_SPEED_ASSUMESEGMENTCONSUMPTION"
2022-07-13 00:43:30 normalization > 00:36:08.085729 [debug] [Thread-5  ]: On model.airbyte_utils.MT_SPEED_ASSUMESEGMENTCONSUMPTION: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.MT_SPEED_ASSUMESEGMENTCONSUMPTION"} */
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization >     
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization >       create or replace temporary table "DEV_LANDING".MT."SPEED_ASSUMESEGMENTCONSUMPTION__dbt_tmp"  as
2022-07-13 00:43:30 normalization >       (select * from(
2022-07-13 00:43:30 normalization >             
2022-07-13 00:43:30 normalization > with __dbt__cte___AIRBYTE_MT_SPEED_ASSUMESEGMENTCONSUMPTION_AB1 as (
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema
2022-07-13 00:43:30 normalization > -- depends_on: "DEV_LANDING".MT._AIRBYTE_RAW_SPEED_ASSUMESEGMENTCONSUMPTION
2022-07-13 00:43:30 normalization > select
2022-07-13 00:43:30 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"id"')) as ID,
2022-07-13 00:43:30 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"user_id"')) as USER_ID,
2022-07-13 00:43:30 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"created_at"')) as CREATED_AT,
2022-07-13 00:43:30 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"segment_id"')) as SEGMENT_ID,
2022-07-13 00:43:30 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"updated_at"')) as UPDATED_AT,
2022-07-13 00:43:30 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"consumption"')) as CONSUMPTION,
2022-07-13 00:43:30 normalization >     _AIRBYTE_AB_ID,
2022-07-13 00:43:30 normalization >     _AIRBYTE_EMITTED_AT,
2022-07-13 00:43:30 normalization >     convert_timezone('UTC', current_timestamp()) as _AIRBYTE_NORMALIZED_AT
2022-07-13 00:43:30 normalization > from "DEV_LANDING".MT._AIRBYTE_RAW_SPEED_ASSUMESEGMENTCONSUMPTION as table_alias
2022-07-13 00:43:30 normalization > -- SPEED_ASSUMESEGMENTCONSUMPTION
2022-07-13 00:43:30 normalization > where 1 = 1
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization > ),  __dbt__cte___AIRBYTE_MT_SPEED_ASSUMESEGMENTCONSUMPTION_AB2 as (
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type
2022-07-13 00:43:30 normalization > -- depends_on: __dbt__cte___AIRBYTE_MT_SPEED_ASSUMESEGMENTCONSUMPTION_AB1
2022-07-13 00:43:30 normalization > select
2022-07-13 00:43:30 normalization >     cast(ID as 
2022-07-13 00:43:30 normalization >     float
2022-07-13 00:43:30 normalization > ) as ID,
2022-07-13 00:43:30 normalization >     cast(USER_ID as 
2022-07-13 00:43:30 normalization >     float
2022-07-13 00:43:30 normalization > ) as USER_ID,
2022-07-13 00:43:30 normalization >     case
2022-07-13 00:43:30 normalization >         when CREATED_AT regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}(\\+|-)\\d{4}' then to_timestamp_tz(CREATED_AT, 'YYYY-MM-DDTHH24:MI:SSTZHTZM')
2022-07-13 00:43:30 normalization >         when CREATED_AT regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}(\\+|-)\\d{2}' then to_timestamp_tz(CREATED_AT, 'YYYY-MM-DDTHH24:MI:SSTZH')
2022-07-13 00:43:30 normalization >         when CREATED_AT regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}\\.\\d{1,7}(\\+|-)\\d{4}' then to_timestamp_tz(CREATED_AT, 'YYYY-MM-DDTHH24:MI:SS.FFTZHTZM')
2022-07-13 00:43:30 normalization >         when CREATED_AT regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}\\.\\d{1,7}(\\+|-)\\d{2}' then to_timestamp_tz(CREATED_AT, 'YYYY-MM-DDTHH24:MI:SS.FFTZH')
2022-07-13 00:43:30 normalization >         when CREATED_AT = '' then NULL
2022-07-13 00:43:30 normalization >     else to_timestamp_tz(CREATED_AT)
2022-07-13 00:43:30 normalization >     end as CREATED_AT
2022-07-13 00:43:30 normalization >     ,
2022-07-13 00:43:30 normalization >     cast(SEGMENT_ID as 
2022-07-13 00:43:30 normalization >     float
2022-07-13 00:43:30 normalization > ) as SEGMENT_ID,
2022-07-13 00:43:30 normalization >     case
2022-07-13 00:43:30 normalization >         when UPDATED_AT regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}(\\+|-)\\d{4}' then to_timestamp_tz(UPDATED_AT, 'YYYY-MM-DDTHH24:MI:SSTZHTZM')
2022-07-13 00:43:30 normalization >         when UPDATED_AT regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}(\\+|-)\\d{2}' then to_timestamp_tz(UPDATED_AT, 'YYYY-MM-DDTHH24:MI:SSTZH')
2022-07-13 00:43:30 normalization >         when UPDATED_AT regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}\\.\\d{1,7}(\\+|-)\\d{4}' then to_timestamp_tz(UPDATED_AT, 'YYYY-MM-DDTHH24:MI:SS.FFTZHTZM')
2022-07-13 00:43:30 normalization >         when UPDATED_AT regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}\\.\\d{1,7}(\\+|-)\\d{2}' then to_timestamp_tz(UPDATED_AT, 'YYYY-MM-DDTHH24:MI:SS.FFTZH')
2022-07-13 00:43:30 normalization >         when UPDATED_AT = '' then NULL
2022-07-13 00:43:30 normalization >     else to_timestamp_tz(UPDATED_AT)
2022-07-13 00:43:30 normalization >     end as UPDATED_AT
2022-07-13 00:43:30 normalization >     ,
2022-07-13 00:43:30 normalization >     cast(CONSUMPTION as 
2022-07-13 00:43:30 normalization >     float
2022-07-13 00:43:30 normalization > ) as CONSUMPTION,
2022-07-13 00:43:30 normalization >     _AIRBYTE_AB_ID,
2022-07-13 00:43:30 normalization >     _AIRBYTE_EMITTED_AT,
2022-07-13 00:43:30 normalization >     convert_timezone('UTC', current_timestamp()) as _AIRBYTE_NORMALIZED_AT
2022-07-13 00:43:30 normalization > from __dbt__cte___AIRBYTE_MT_SPEED_ASSUMESEGMENTCONSUMPTION_AB1
2022-07-13 00:43:30 normalization > -- SPEED_ASSUMESEGMENTCONSUMPTION
2022-07-13 00:43:30 normalization > where 1 = 1
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization > ),  __dbt__cte___AIRBYTE_MT_SPEED_ASSUMESEGMENTCONSUMPTION_AB3 as (
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization > -- SQL model to build a hash column based on the values of this record
2022-07-13 00:43:30 normalization > -- depends_on: __dbt__cte___AIRBYTE_MT_SPEED_ASSUMESEGMENTCONSUMPTION_AB2
2022-07-13 00:43:30 normalization > select
2022-07-13 00:43:30 normalization >     md5(cast(coalesce(cast(ID as 
2022-07-13 00:43:30 normalization >     varchar
2022-07-13 00:43:30 normalization > ), '') || '-' || coalesce(cast(USER_ID as 
2022-07-13 00:43:30 normalization >     varchar
2022-07-13 00:43:30 normalization > ), '') || '-' || coalesce(cast(CREATED_AT as 
2022-07-13 00:43:30 normalization >     varchar
2022-07-13 00:43:30 normalization > ), '') || '-' || coalesce(cast(SEGMENT_ID as 
2022-07-13 00:43:30 normalization >     varchar
2022-07-13 00:43:30 normalization > ), '') || '-' || coalesce(cast(UPDATED_AT as 
2022-07-13 00:43:30 normalization >     varchar
2022-07-13 00:43:30 normalization > ), '') || '-' || coalesce(cast(CONSUMPTION as 
2022-07-13 00:43:30 normalization >     varchar
2022-07-13 00:43:30 normalization > ), '') as 
2022-07-13 00:43:30 normalization >     varchar
2022-07-13 00:43:30 normalization > )) as _AIRBYTE_SPEED_ASSUMESEGMENTCONSUMPTION_HASHID,
2022-07-13 00:43:30 normalization >     tmp.*
2022-07-13 00:43:30 normalization > from __dbt__cte___AIRBYTE_MT_SPEED_ASSUMESEGMENTCONSUMPTION_AB2 tmp
2022-07-13 00:43:30 normalization > -- SPEED_ASSUMESEGMENTCONSUMPTION
2022-07-13 00:43:30 normalization > where 1 = 1
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization > )-- Final base SQL model
2022-07-13 00:43:30 normalization > -- depends_on: __dbt__cte___AIRBYTE_MT_SPEED_ASSUMESEGMENTCONSUMPTION_AB3
2022-07-13 00:43:30 normalization > select
2022-07-13 00:43:30 normalization >     ID,
2022-07-13 00:43:30 normalization >     USER_ID,
2022-07-13 00:43:30 normalization >     CREATED_AT,
2022-07-13 00:43:30 normalization >     SEGMENT_ID,
2022-07-13 00:43:30 normalization >     UPDATED_AT,
2022-07-13 00:43:30 normalization >     CONSUMPTION,
2022-07-13 00:43:30 normalization >     _AIRBYTE_AB_ID,
2022-07-13 00:43:30 normalization >     _AIRBYTE_EMITTED_AT,
2022-07-13 00:43:30 normalization >     convert_timezone('UTC', current_timestamp()) as _AIRBYTE_NORMALIZED_AT,
2022-07-13 00:43:30 normalization >     _AIRBYTE_SPEED_ASSUMESEGMENTCONSUMPTION_HASHID
2022-07-13 00:43:30 normalization > from __dbt__cte___AIRBYTE_MT_SPEED_ASSUMESEGMENTCONSUMPTION_AB3
2022-07-13 00:43:30 normalization > -- SPEED_ASSUMESEGMENTCONSUMPTION from "DEV_LANDING".MT._AIRBYTE_RAW_SPEED_ASSUMESEGMENTCONSUMPTION
2022-07-13 00:43:30 normalization > where 1 = 1
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization >     
2022-07-13 00:43:30 normalization > and cast(_AIRBYTE_EMITTED_AT as 
2022-07-13 00:43:30 normalization >     timestamp with time zone
2022-07-13 00:43:30 normalization > ) >=
2022-07-13 00:43:30 normalization >     cast('2022-07-12 17:47:22.629000-07:00' as 
2022-07-13 00:43:30 normalization >     timestamp with time zone
2022-07-13 00:43:30 normalization > )
2022-07-13 00:43:30 normalization >     
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization >             ) order by (_AIRBYTE_EMITTED_AT)
2022-07-13 00:43:30 normalization >       );
2022-07-13 00:43:30 normalization > 00:36:09.050836 [debug] [Thread-5  ]: SQL status: SUCCESS 1 in 0.96 seconds
2022-07-13 00:43:30 normalization > 00:36:09.056843 [debug] [Thread-5  ]: Using snowflake connection "model.airbyte_utils.MT_SPEED_ASSUMESEGMENTCONSUMPTION"
2022-07-13 00:43:30 normalization > 00:36:09.057246 [debug] [Thread-5  ]: On model.airbyte_utils.MT_SPEED_ASSUMESEGMENTCONSUMPTION: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.MT_SPEED_ASSUMESEGMENTCONSUMPTION"} */
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization >     describe table "DEV_LANDING".MT."SPEED_ASSUMESEGMENTCONSUMPTION__dbt_tmp"
2022-07-13 00:43:30 normalization > 00:36:09.106138 [debug] [Thread-5  ]: SQL status: SUCCESS 10 in 0.05 seconds
2022-07-13 00:43:30 normalization > 00:36:09.115478 [debug] [Thread-5  ]: Using snowflake connection "model.airbyte_utils.MT_SPEED_ASSUMESEGMENTCONSUMPTION"
2022-07-13 00:43:30 normalization > 00:36:09.116045 [debug] [Thread-5  ]: On model.airbyte_utils.MT_SPEED_ASSUMESEGMENTCONSUMPTION: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.MT_SPEED_ASSUMESEGMENTCONSUMPTION"} */
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization >     describe table "DEV_LANDING".MT."SPEED_ASSUMESEGMENTCONSUMPTION"
2022-07-13 00:43:30 normalization > 00:36:09.176682 [debug] [Thread-5  ]: SQL status: SUCCESS 10 in 0.06 seconds
2022-07-13 00:43:30 normalization > 00:36:09.188366 [debug] [Thread-5  ]: Using snowflake connection "model.airbyte_utils.MT_SPEED_ASSUMESEGMENTCONSUMPTION"
2022-07-13 00:43:30 normalization > 00:36:09.188938 [debug] [Thread-5  ]: On model.airbyte_utils.MT_SPEED_ASSUMESEGMENTCONSUMPTION: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.MT_SPEED_ASSUMESEGMENTCONSUMPTION"} */
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization >     describe table "DEV_LANDING".MT."SPEED_ASSUMESEGMENTCONSUMPTION__dbt_tmp"
2022-07-13 00:43:30 normalization > 00:36:09.227938 [debug] [Thread-5  ]: SQL status: SUCCESS 10 in 0.04 seconds
2022-07-13 00:43:30 normalization > 00:36:09.235110 [debug] [Thread-5  ]: Using snowflake connection "model.airbyte_utils.MT_SPEED_ASSUMESEGMENTCONSUMPTION"
2022-07-13 00:43:30 normalization > 00:36:09.235555 [debug] [Thread-5  ]: On model.airbyte_utils.MT_SPEED_ASSUMESEGMENTCONSUMPTION: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.MT_SPEED_ASSUMESEGMENTCONSUMPTION"} */
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization >     describe table "DEV_LANDING"."MT"."SPEED_ASSUMESEGMENTCONSUMPTION"
2022-07-13 00:43:30 normalization > 00:36:09.277177 [debug] [Thread-5  ]: SQL status: SUCCESS 10 in 0.04 seconds
2022-07-13 00:43:30 normalization > 00:36:09.282273 [debug] [Thread-5  ]: 
2022-07-13 00:43:30 normalization >     In "DEV_LANDING"."MT"."SPEED_ASSUMESEGMENTCONSUMPTION":
2022-07-13 00:43:30 normalization >         Schema changed: False
2022-07-13 00:43:30 normalization >         Source columns not in target: []
2022-07-13 00:43:30 normalization >         Target columns not in source: []
2022-07-13 00:43:30 normalization >         New column types: []
2022-07-13 00:43:30 normalization >   
2022-07-13 00:43:30 normalization > 00:36:09.284957 [debug] [Thread-5  ]: Writing runtime SQL for node "model.airbyte_utils.MT_SPEED_ASSUMESEGMENTCONSUMPTION"
2022-07-13 00:43:30 normalization > 00:36:09.287197 [debug] [Thread-5  ]: Using snowflake connection "model.airbyte_utils.MT_SPEED_ASSUMESEGMENTCONSUMPTION"
2022-07-13 00:43:30 normalization > 00:36:09.287510 [debug] [Thread-5  ]: On model.airbyte_utils.MT_SPEED_ASSUMESEGMENTCONSUMPTION: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.MT_SPEED_ASSUMESEGMENTCONSUMPTION"} */
2022-07-13 00:43:30 normalization > begin;
2022-07-13 00:43:30 normalization > 00:36:09.345936 [debug] [Thread-5  ]: SQL status: SUCCESS 1 in 0.06 seconds
2022-07-13 00:43:30 normalization > 00:36:09.346410 [debug] [Thread-5  ]: Using snowflake connection "model.airbyte_utils.MT_SPEED_ASSUMESEGMENTCONSUMPTION"
2022-07-13 00:43:30 normalization > 00:36:09.346755 [debug] [Thread-5  ]: On model.airbyte_utils.MT_SPEED_ASSUMESEGMENTCONSUMPTION: merge into "DEV_LANDING".MT."SPEED_ASSUMESEGMENTCONSUMPTION" as DBT_INTERNAL_DEST
2022-07-13 00:43:30 normalization >         using "DEV_LANDING".MT."SPEED_ASSUMESEGMENTCONSUMPTION__dbt_tmp" as DBT_INTERNAL_SOURCE
2022-07-13 00:43:30 normalization >         on 
2022-07-13 00:43:30 normalization >             DBT_INTERNAL_SOURCE._AIRBYTE_AB_ID = DBT_INTERNAL_DEST._AIRBYTE_AB_ID
2022-07-13 00:43:30 normalization >         
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization >     
2022-07-13 00:43:30 normalization >     when matched then update set
2022-07-13 00:43:30 normalization >         "ID" = DBT_INTERNAL_SOURCE."ID","USER_ID" = DBT_INTERNAL_SOURCE."USER_ID","CREATED_AT" = DBT_INTERNAL_SOURCE."CREATED_AT","SEGMENT_ID" = DBT_INTERNAL_SOURCE."SEGMENT_ID","UPDATED_AT" = DBT_INTERNAL_SOURCE."UPDATED_AT","CONSUMPTION" = DBT_INTERNAL_SOURCE."CONSUMPTION","_AIRBYTE_AB_ID" = DBT_INTERNAL_SOURCE."_AIRBYTE_AB_ID","_AIRBYTE_EMITTED_AT" = DBT_INTERNAL_SOURCE."_AIRBYTE_EMITTED_AT","_AIRBYTE_NORMALIZED_AT" = DBT_INTERNAL_SOURCE."_AIRBYTE_NORMALIZED_AT","_AIRBYTE_SPEED_ASSUMESEGMENTCONSUMPTION_HASHID" = DBT_INTERNAL_SOURCE."_AIRBYTE_SPEED_ASSUMESEGMENTCONSUMPTION_HASHID"
2022-07-13 00:43:30 normalization >     
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization >     when not matched then insert
2022-07-13 00:43:30 normalization >         ("ID", "USER_ID", "CREATED_AT", "SEGMENT_ID", "UPDATED_AT", "CONSUMPTION", "_AIRBYTE_AB_ID", "_AIRBYTE_EMITTED_AT", "_AIRBYTE_NORMALIZED_AT", "_AIRBYTE_SPEED_ASSUMESEGMENTCONSUMPTION_HASHID")
2022-07-13 00:43:30 normalization >     values
2022-07-13 00:43:30 normalization >         ("ID", "USER_ID", "CREATED_AT", "SEGMENT_ID", "UPDATED_AT", "CONSUMPTION", "_AIRBYTE_AB_ID", "_AIRBYTE_EMITTED_AT", "_AIRBYTE_NORMALIZED_AT", "_AIRBYTE_SPEED_ASSUMESEGMENTCONSUMPTION_HASHID")
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization > ;
2022-07-13 00:43:30 normalization > 00:36:10.284063 [debug] [Thread-5  ]: SQL status: SUCCESS 4 in 0.94 seconds
2022-07-13 00:43:30 normalization > 00:36:10.284491 [debug] [Thread-5  ]: Using snowflake connection "model.airbyte_utils.MT_SPEED_ASSUMESEGMENTCONSUMPTION"
2022-07-13 00:43:30 normalization > 00:36:10.284759 [debug] [Thread-5  ]: On model.airbyte_utils.MT_SPEED_ASSUMESEGMENTCONSUMPTION: commit;
2022-07-13 00:43:30 normalization > 00:36:10.438485 [debug] [Thread-5  ]: SQL status: SUCCESS 1 in 0.15 seconds
2022-07-13 00:43:30 normalization > 00:36:10.498459 [debug] [Thread-5  ]: finished collecting timing info
2022-07-13 00:43:30 normalization > 00:36:10.499040 [debug] [Thread-5  ]: On model.airbyte_utils.MT_SPEED_ASSUMESEGMENTCONSUMPTION: Close
2022-07-13 00:43:30 normalization > 00:36:10.560371 [info ] [Thread-5  ]: 22 of 60 OK created incremental model MT.SPEED_ASSUMESEGMENTCONSUMPTION................................................. [SUCCESS 1 in 4.82s]
2022-07-13 00:43:30 normalization > 00:36:10.561135 [debug] [Thread-5  ]: Finished running node model.airbyte_utils.MT_SPEED_ASSUMESEGMENTCONSUMPTION
2022-07-13 00:43:30 normalization > 00:36:10.561521 [debug] [Thread-5  ]: Began running node model.airbyte_utils.MT_SIMBUNKER_SPEEDRESPONSE
2022-07-13 00:43:30 normalization > 00:36:10.562461 [info ] [Thread-5  ]: 23 of 60 START incremental model MT.SIMBUNKER_SPEEDRESPONSE............................................................. [RUN]
2022-07-13 00:43:30 normalization > 00:36:10.563606 [debug] [Thread-5  ]: Acquiring new snowflake connection "model.airbyte_utils.MT_SIMBUNKER_SPEEDRESPONSE"
2022-07-13 00:43:30 normalization > 00:36:10.564239 [debug] [Thread-5  ]: Began compiling node model.airbyte_utils.MT_SIMBUNKER_SPEEDRESPONSE
2022-07-13 00:43:30 normalization > 00:36:10.564582 [debug] [Thread-5  ]: Compiling model.airbyte_utils.MT_SIMBUNKER_SPEEDRESPONSE
2022-07-13 00:43:30 normalization > 00:36:10.643909 [debug] [Thread-5  ]: Using snowflake connection "model.airbyte_utils.MT_SIMBUNKER_SPEEDRESPONSE"
2022-07-13 00:43:30 normalization > 00:36:10.644293 [debug] [Thread-5  ]: On model.airbyte_utils.MT_SIMBUNKER_SPEEDRESPONSE: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.MT_SIMBUNKER_SPEEDRESPONSE"} */
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization >     describe table "DEV_LANDING".MT."SIMBUNKER_SPEEDRESPONSE"
2022-07-13 00:43:30 normalization > 00:36:10.644552 [debug] [Thread-5  ]: Opening a new connection, currently in state closed
2022-07-13 00:43:30 normalization > 00:36:11.249533 [debug] [Thread-5  ]: SQL status: SUCCESS 26 in 0.6 seconds
2022-07-13 00:43:30 normalization > 00:36:11.336660 [debug] [Thread-5  ]: Using snowflake connection "model.airbyte_utils.MT_SIMBUNKER_SPEEDRESPONSE"
2022-07-13 00:43:30 normalization > 00:36:11.337043 [debug] [Thread-5  ]: On model.airbyte_utils.MT_SIMBUNKER_SPEEDRESPONSE: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.MT_SIMBUNKER_SPEEDRESPONSE"} */
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization >     describe table "DEV_LANDING".MT."SIMBUNKER_SPEEDRESPONSE"
2022-07-13 00:43:30 normalization > 00:36:11.426877 [debug] [Thread-5  ]: SQL status: SUCCESS 26 in 0.09 seconds
2022-07-13 00:43:30 normalization > 00:36:11.432746 [debug] [Thread-5  ]: Using snowflake connection "model.airbyte_utils.MT_SIMBUNKER_SPEEDRESPONSE"
2022-07-13 00:43:30 normalization > 00:36:11.433061 [debug] [Thread-5  ]: On model.airbyte_utils.MT_SIMBUNKER_SPEEDRESPONSE: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.MT_SIMBUNKER_SPEEDRESPONSE"} */
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization >     
2022-07-13 00:43:30 normalization >         select max(cast(_AIRBYTE_EMITTED_AT as 
2022-07-13 00:43:30 normalization >     timestamp with time zone
2022-07-13 00:43:30 normalization > )) from "DEV_LANDING".MT."SIMBUNKER_SPEEDRESPONSE"
2022-07-13 00:43:30 normalization > 00:36:11.921929 [debug] [Thread-5  ]: SQL status: SUCCESS 1 in 0.49 seconds
2022-07-13 00:43:30 normalization > 00:36:12.052169 [debug] [Thread-5  ]: Using snowflake connection "model.airbyte_utils.MT_SIMBUNKER_SPEEDRESPONSE"
2022-07-13 00:43:30 normalization > 00:36:12.052744 [debug] [Thread-5  ]: On model.airbyte_utils.MT_SIMBUNKER_SPEEDRESPONSE: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.MT_SIMBUNKER_SPEEDRESPONSE"} */
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization >     describe table "DEV_LANDING".MT."SIMBUNKER_SPEEDRESPONSE"
2022-07-13 00:43:30 normalization > 00:36:12.217399 [debug] [Thread-5  ]: SQL status: SUCCESS 26 in 0.16 seconds
2022-07-13 00:43:30 normalization > 00:36:12.223187 [debug] [Thread-5  ]: Using snowflake connection "model.airbyte_utils.MT_SIMBUNKER_SPEEDRESPONSE"
2022-07-13 00:43:30 normalization > 00:36:12.223507 [debug] [Thread-5  ]: On model.airbyte_utils.MT_SIMBUNKER_SPEEDRESPONSE: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.MT_SIMBUNKER_SPEEDRESPONSE"} */
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization >     
2022-07-13 00:43:30 normalization >         select max(cast(_AIRBYTE_EMITTED_AT as 
2022-07-13 00:43:30 normalization >     timestamp with time zone
2022-07-13 00:43:30 normalization > )) from "DEV_LANDING".MT."SIMBUNKER_SPEEDRESPONSE"
2022-07-13 00:43:30 normalization > 00:36:12.272039 [debug] [Thread-5  ]: SQL status: SUCCESS 1 in 0.05 seconds
2022-07-13 00:43:30 normalization > 00:36:12.290862 [debug] [Thread-5  ]: Writing injected SQL for node "model.airbyte_utils.MT_SIMBUNKER_SPEEDRESPONSE"
2022-07-13 00:43:30 normalization > 00:36:12.291560 [debug] [Thread-5  ]: finished collecting timing info
2022-07-13 00:43:30 normalization > 00:36:12.291924 [debug] [Thread-5  ]: Began executing node model.airbyte_utils.MT_SIMBUNKER_SPEEDRESPONSE
2022-07-13 00:43:30 normalization > 00:36:12.312560 [debug] [Thread-5  ]: Using snowflake connection "model.airbyte_utils.MT_SIMBUNKER_SPEEDRESPONSE"
2022-07-13 00:43:30 normalization > 00:36:12.312960 [debug] [Thread-5  ]: On model.airbyte_utils.MT_SIMBUNKER_SPEEDRESPONSE: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.MT_SIMBUNKER_SPEEDRESPONSE"} */
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization >     describe table "DEV_LANDING".MT."SIMBUNKER_SPEEDRESPONSE"
2022-07-13 00:43:30 normalization > 00:36:12.364598 [debug] [Thread-5  ]: SQL status: SUCCESS 26 in 0.05 seconds
2022-07-13 00:43:30 normalization > 00:36:12.443557 [debug] [Thread-5  ]: Using snowflake connection "model.airbyte_utils.MT_SIMBUNKER_SPEEDRESPONSE"
2022-07-13 00:43:30 normalization > 00:36:12.443978 [debug] [Thread-5  ]: On model.airbyte_utils.MT_SIMBUNKER_SPEEDRESPONSE: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.MT_SIMBUNKER_SPEEDRESPONSE"} */
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization >     
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization >       create or replace temporary table "DEV_LANDING".MT."SIMBUNKER_SPEEDRESPONSE__dbt_tmp"  as
2022-07-13 00:43:30 normalization >       (select * from(
2022-07-13 00:43:30 normalization >             
2022-07-13 00:43:30 normalization > with __dbt__cte___AIRBYTE_MT_SIMBUNKER_SPEEDRESPONSE_AB1 as (
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema
2022-07-13 00:43:30 normalization > -- depends_on: "DEV_LANDING".MT._AIRBYTE_RAW_SIMBUNKER_SPEEDRESPONSE
2022-07-13 00:43:30 normalization > select
2022-07-13 00:43:30 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"id"')) as ID,
2022-07-13 00:43:30 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"imo"')) as IMO,
2022-07-13 00:43:30 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"date"')) as DATE,
2022-07-13 00:43:30 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"name"')) as NAME,
2022-07-13 00:43:30 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"_etl_id"')) as _ETL_ID,
2022-07-13 00:43:30 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"draught"')) as DRAUGHT,
2022-07-13 00:43:30 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"heading"')) as HEADING,
2022-07-13 00:43:30 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"beaufort"')) as BEAUFORT,
2022-07-13 00:43:30 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"latitude"')) as LATITUDE,
2022-07-13 00:43:30 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"longitude"')) as LONGITUDE,
2022-07-13 00:43:30 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"actual_tce"')) as ACTUAL_TCE,
2022-07-13 00:43:30 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"created_at"')) as CREATED_AT,
2022-07-13 00:43:30 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"deleted_at"')) as DELETED_AT,
2022-07-13 00:43:30 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"updated_at"')) as UPDATED_AT,
2022-07-13 00:43:30 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"optimal_tce"')) as OPTIMAL_TCE,
2022-07-13 00:43:30 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"actual_speed"')) as ACTUAL_SPEED,
2022-07-13 00:43:30 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"bunker_price"')) as BUNKER_PRICE,
2022-07-13 00:43:30 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"optimal_speed"')) as OPTIMAL_SPEED,
2022-07-13 00:43:30 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"voyage_number"')) as VOYAGE_NUMBER,
2022-07-13 00:43:30 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"wind_direction"')) as WIND_DIRECTION,
2022-07-13 00:43:30 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"added_resistance"')) as ADDED_RESISTANCE,
2022-07-13 00:43:30 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"navigation_status_description"')) as NAVIGATION_STATUS_DESCRIPTION,
2022-07-13 00:43:30 normalization >     _AIRBYTE_AB_ID,
2022-07-13 00:43:30 normalization >     _AIRBYTE_EMITTED_AT,
2022-07-13 00:43:30 normalization >     convert_timezone('UTC', current_timestamp()) as _AIRBYTE_NORMALIZED_AT
2022-07-13 00:43:30 normalization > from "DEV_LANDING".MT._AIRBYTE_RAW_SIMBUNKER_SPEEDRESPONSE as table_alias
2022-07-13 00:43:30 normalization > -- SIMBUNKER_SPEEDRESPONSE
2022-07-13 00:43:30 normalization > where 1 = 1
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization > ),  __dbt__cte___AIRBYTE_MT_SIMBUNKER_SPEEDRESPONSE_AB2 as (
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type
2022-07-13 00:43:30 normalization > -- depends_on: __dbt__cte___AIRBYTE_MT_SIMBUNKER_SPEEDRESPONSE_AB1
2022-07-13 00:43:30 normalization > select
2022-07-13 00:43:30 normalization >     cast(ID as 
2022-07-13 00:43:30 normalization >     float
2022-07-13 00:43:30 normalization > ) as ID,
2022-07-13 00:43:30 normalization >     cast(IMO as 
2022-07-13 00:43:30 normalization >     float
2022-07-13 00:43:30 normalization > ) as IMO,
2022-07-13 00:43:30 normalization >     case
2022-07-13 00:43:30 normalization >         when DATE regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}(\\+|-)\\d{4}' then to_timestamp_tz(DATE, 'YYYY-MM-DDTHH24:MI:SSTZHTZM')
2022-07-13 00:43:30 normalization >         when DATE regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}(\\+|-)\\d{2}' then to_timestamp_tz(DATE, 'YYYY-MM-DDTHH24:MI:SSTZH')
2022-07-13 00:43:30 normalization >         when DATE regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}\\.\\d{1,7}(\\+|-)\\d{4}' then to_timestamp_tz(DATE, 'YYYY-MM-DDTHH24:MI:SS.FFTZHTZM')
2022-07-13 00:43:30 normalization >         when DATE regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}\\.\\d{1,7}(\\+|-)\\d{2}' then to_timestamp_tz(DATE, 'YYYY-MM-DDTHH24:MI:SS.FFTZH')
2022-07-13 00:43:30 normalization >         when DATE = '' then NULL
2022-07-13 00:43:30 normalization >     else to_timestamp_tz(DATE)
2022-07-13 00:43:30 normalization >     end as DATE
2022-07-13 00:43:30 normalization >     ,
2022-07-13 00:43:30 normalization >     cast(NAME as 
2022-07-13 00:43:30 normalization >     varchar
2022-07-13 00:43:30 normalization > ) as NAME,
2022-07-13 00:43:30 normalization >     cast(_ETL_ID as 
2022-07-13 00:43:30 normalization >     float
2022-07-13 00:43:30 normalization > ) as _ETL_ID,
2022-07-13 00:43:30 normalization >     cast(DRAUGHT as 
2022-07-13 00:43:30 normalization >     float
2022-07-13 00:43:30 normalization > ) as DRAUGHT,
2022-07-13 00:43:30 normalization >     cast(HEADING as 
2022-07-13 00:43:30 normalization >     float
2022-07-13 00:43:30 normalization > ) as HEADING,
2022-07-13 00:43:30 normalization >     cast(BEAUFORT as 
2022-07-13 00:43:30 normalization >     float
2022-07-13 00:43:30 normalization > ) as BEAUFORT,
2022-07-13 00:43:30 normalization >     cast(LATITUDE as 
2022-07-13 00:43:30 normalization >     float
2022-07-13 00:43:30 normalization > ) as LATITUDE,
2022-07-13 00:43:30 normalization >     cast(LONGITUDE as 
2022-07-13 00:43:30 normalization >     float
2022-07-13 00:43:30 normalization > ) as LONGITUDE,
2022-07-13 00:43:30 normalization >     cast(ACTUAL_TCE as 
2022-07-13 00:43:30 normalization >     float
2022-07-13 00:43:30 normalization > ) as ACTUAL_TCE,
2022-07-13 00:43:30 normalization >     case
2022-07-13 00:43:30 normalization >         when CREATED_AT regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}(\\+|-)\\d{4}' then to_timestamp_tz(CREATED_AT, 'YYYY-MM-DDTHH24:MI:SSTZHTZM')
2022-07-13 00:43:30 normalization >         when CREATED_AT regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}(\\+|-)\\d{2}' then to_timestamp_tz(CREATED_AT, 'YYYY-MM-DDTHH24:MI:SSTZH')
2022-07-13 00:43:30 normalization >         when CREATED_AT regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}\\.\\d{1,7}(\\+|-)\\d{4}' then to_timestamp_tz(CREATED_AT, 'YYYY-MM-DDTHH24:MI:SS.FFTZHTZM')
2022-07-13 00:43:30 normalization >         when CREATED_AT regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}\\.\\d{1,7}(\\+|-)\\d{2}' then to_timestamp_tz(CREATED_AT, 'YYYY-MM-DDTHH24:MI:SS.FFTZH')
2022-07-13 00:43:30 normalization >         when CREATED_AT = '' then NULL
2022-07-13 00:43:30 normalization >     else to_timestamp_tz(CREATED_AT)
2022-07-13 00:43:30 normalization >     end as CREATED_AT
2022-07-13 00:43:30 normalization >     ,
2022-07-13 00:43:30 normalization >     case
2022-07-13 00:43:30 normalization >         when DELETED_AT regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}(\\+|-)\\d{4}' then to_timestamp_tz(DELETED_AT, 'YYYY-MM-DDTHH24:MI:SSTZHTZM')
2022-07-13 00:43:30 normalization >         when DELETED_AT regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}(\\+|-)\\d{2}' then to_timestamp_tz(DELETED_AT, 'YYYY-MM-DDTHH24:MI:SSTZH')
2022-07-13 00:43:30 normalization >         when DELETED_AT regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}\\.\\d{1,7}(\\+|-)\\d{4}' then to_timestamp_tz(DELETED_AT, 'YYYY-MM-DDTHH24:MI:SS.FFTZHTZM')
2022-07-13 00:43:30 normalization >         when DELETED_AT regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}\\.\\d{1,7}(\\+|-)\\d{2}' then to_timestamp_tz(DELETED_AT, 'YYYY-MM-DDTHH24:MI:SS.FFTZH')
2022-07-13 00:43:30 normalization >         when DELETED_AT = '' then NULL
2022-07-13 00:43:30 normalization >     else to_timestamp_tz(DELETED_AT)
2022-07-13 00:43:30 normalization >     end as DELETED_AT
2022-07-13 00:43:30 normalization >     ,
2022-07-13 00:43:30 normalization >     case
2022-07-13 00:43:30 normalization >         when UPDATED_AT regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}(\\+|-)\\d{4}' then to_timestamp_tz(UPDATED_AT, 'YYYY-MM-DDTHH24:MI:SSTZHTZM')
2022-07-13 00:43:30 normalization >         when UPDATED_AT regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}(\\+|-)\\d{2}' then to_timestamp_tz(UPDATED_AT, 'YYYY-MM-DDTHH24:MI:SSTZH')
2022-07-13 00:43:30 normalization >         when UPDATED_AT regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}\\.\\d{1,7}(\\+|-)\\d{4}' then to_timestamp_tz(UPDATED_AT, 'YYYY-MM-DDTHH24:MI:SS.FFTZHTZM')
2022-07-13 00:43:30 normalization >         when UPDATED_AT regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}\\.\\d{1,7}(\\+|-)\\d{2}' then to_timestamp_tz(UPDATED_AT, 'YYYY-MM-DDTHH24:MI:SS.FFTZH')
2022-07-13 00:43:30 normalization >         when UPDATED_AT = '' then NULL
2022-07-13 00:43:30 normalization >     else to_timestamp_tz(UPDATED_AT)
2022-07-13 00:43:30 normalization >     end as UPDATED_AT
2022-07-13 00:43:30 normalization >     ,
2022-07-13 00:43:30 normalization >     cast(OPTIMAL_TCE as 
2022-07-13 00:43:30 normalization >     float
2022-07-13 00:43:30 normalization > ) as OPTIMAL_TCE,
2022-07-13 00:43:30 normalization >     cast(ACTUAL_SPEED as 
2022-07-13 00:43:30 normalization >     float
2022-07-13 00:43:30 normalization > ) as ACTUAL_SPEED,
2022-07-13 00:43:30 normalization >     cast(BUNKER_PRICE as 
2022-07-13 00:43:30 normalization >     float
2022-07-13 00:43:30 normalization > ) as BUNKER_PRICE,
2022-07-13 00:43:30 normalization >     cast(OPTIMAL_SPEED as 
2022-07-13 00:43:30 normalization >     float
2022-07-13 00:43:30 normalization > ) as OPTIMAL_SPEED,
2022-07-13 00:43:30 normalization >     cast(VOYAGE_NUMBER as 
2022-07-13 00:43:30 normalization >     float
2022-07-13 00:43:30 normalization > ) as VOYAGE_NUMBER,
2022-07-13 00:43:30 normalization >     cast(WIND_DIRECTION as 
2022-07-13 00:43:30 normalization >     float
2022-07-13 00:43:30 normalization > ) as WIND_DIRECTION,
2022-07-13 00:43:30 normalization >     cast(ADDED_RESISTANCE as 
2022-07-13 00:43:30 normalization >     float
2022-07-13 00:43:30 normalization > ) as ADDED_RESISTANCE,
2022-07-13 00:43:30 normalization >     cast(NAVIGATION_STATUS_DESCRIPTION as 
2022-07-13 00:43:30 normalization >     varchar
2022-07-13 00:43:30 normalization > ) as NAVIGATION_STATUS_DESCRIPTION,
2022-07-13 00:43:30 normalization >     _AIRBYTE_AB_ID,
2022-07-13 00:43:30 normalization >     _AIRBYTE_EMITTED_AT,
2022-07-13 00:43:30 normalization >     convert_timezone('UTC', current_timestamp()) as _AIRBYTE_NORMALIZED_AT
2022-07-13 00:43:30 normalization > from __dbt__cte___AIRBYTE_MT_SIMBUNKER_SPEEDRESPONSE_AB1
2022-07-13 00:43:30 normalization > -- SIMBUNKER_SPEEDRESPONSE
2022-07-13 00:43:30 normalization > where 1 = 1
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization > ),  __dbt__cte___AIRBYTE_MT_SIMBUNKER_SPEEDRESPONSE_AB3 as (
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization > -- SQL model to build a hash column based on the values of this record
2022-07-13 00:43:30 normalization > -- depends_on: __dbt__cte___AIRBYTE_MT_SIMBUNKER_SPEEDRESPONSE_AB2
2022-07-13 00:43:30 normalization > select
2022-07-13 00:43:30 normalization >     md5(cast(coalesce(cast(ID as 
2022-07-13 00:43:30 normalization >     varchar
2022-07-13 00:43:30 normalization > ), '') || '-' || coalesce(cast(IMO as 
2022-07-13 00:43:30 normalization >     varchar
2022-07-13 00:43:30 normalization > ), '') || '-' || coalesce(cast(DATE as 
2022-07-13 00:43:30 normalization >     varchar
2022-07-13 00:43:30 normalization > ), '') || '-' || coalesce(cast(NAME as 
2022-07-13 00:43:30 normalization >     varchar
2022-07-13 00:43:30 normalization > ), '') || '-' || coalesce(cast(_ETL_ID as 
2022-07-13 00:43:30 normalization >     varchar
2022-07-13 00:43:30 normalization > ), '') || '-' || coalesce(cast(DRAUGHT as 
2022-07-13 00:43:30 normalization >     varchar
2022-07-13 00:43:30 normalization > ), '') || '-' || coalesce(cast(HEADING as 
2022-07-13 00:43:30 normalization >     varchar
2022-07-13 00:43:30 normalization > ), '') || '-' || coalesce(cast(BEAUFORT as 
2022-07-13 00:43:30 normalization >     varchar
2022-07-13 00:43:30 normalization > ), '') || '-' || coalesce(cast(LATITUDE as 
2022-07-13 00:43:30 normalization >     varchar
2022-07-13 00:43:30 normalization > ), '') || '-' || coalesce(cast(LONGITUDE as 
2022-07-13 00:43:30 normalization >     varchar
2022-07-13 00:43:30 normalization > ), '') || '-' || coalesce(cast(ACTUAL_TCE as 
2022-07-13 00:43:30 normalization >     varchar
2022-07-13 00:43:30 normalization > ), '') || '-' || coalesce(cast(CREATED_AT as 
2022-07-13 00:43:30 normalization >     varchar
2022-07-13 00:43:30 normalization > ), '') || '-' || coalesce(cast(DELETED_AT as 
2022-07-13 00:43:30 normalization >     varchar
2022-07-13 00:43:30 normalization > ), '') || '-' || coalesce(cast(UPDATED_AT as 
2022-07-13 00:43:30 normalization >     varchar
2022-07-13 00:43:30 normalization > ), '') || '-' || coalesce(cast(OPTIMAL_TCE as 
2022-07-13 00:43:30 normalization >     varchar
2022-07-13 00:43:30 normalization > ), '') || '-' || coalesce(cast(ACTUAL_SPEED as 
2022-07-13 00:43:30 normalization >     varchar
2022-07-13 00:43:30 normalization > ), '') || '-' || coalesce(cast(BUNKER_PRICE as 
2022-07-13 00:43:30 normalization >     varchar
2022-07-13 00:43:30 normalization > ), '') || '-' || coalesce(cast(OPTIMAL_SPEED as 
2022-07-13 00:43:30 normalization >     varchar
2022-07-13 00:43:30 normalization > ), '') || '-' || coalesce(cast(VOYAGE_NUMBER as 
2022-07-13 00:43:30 normalization >     varchar
2022-07-13 00:43:30 normalization > ), '') || '-' || coalesce(cast(WIND_DIRECTION as 
2022-07-13 00:43:30 normalization >     varchar
2022-07-13 00:43:30 normalization > ), '') || '-' || coalesce(cast(ADDED_RESISTANCE as 
2022-07-13 00:43:30 normalization >     varchar
2022-07-13 00:43:30 normalization > ), '') || '-' || coalesce(cast(NAVIGATION_STATUS_DESCRIPTION as 
2022-07-13 00:43:30 normalization >     varchar
2022-07-13 00:43:30 normalization > ), '') as 
2022-07-13 00:43:30 normalization >     varchar
2022-07-13 00:43:30 normalization > )) as _AIRBYTE_SIMBUNKER_SPEEDRESPONSE_HASHID,
2022-07-13 00:43:30 normalization >     tmp.*
2022-07-13 00:43:30 normalization > from __dbt__cte___AIRBYTE_MT_SIMBUNKER_SPEEDRESPONSE_AB2 tmp
2022-07-13 00:43:30 normalization > -- SIMBUNKER_SPEEDRESPONSE
2022-07-13 00:43:30 normalization > where 1 = 1
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization > )-- Final base SQL model
2022-07-13 00:43:30 normalization > -- depends_on: __dbt__cte___AIRBYTE_MT_SIMBUNKER_SPEEDRESPONSE_AB3
2022-07-13 00:43:30 normalization > select
2022-07-13 00:43:30 normalization >     ID,
2022-07-13 00:43:30 normalization >     IMO,
2022-07-13 00:43:30 normalization >     DATE,
2022-07-13 00:43:30 normalization >     NAME,
2022-07-13 00:43:30 normalization >     _ETL_ID,
2022-07-13 00:43:30 normalization >     DRAUGHT,
2022-07-13 00:43:30 normalization >     HEADING,
2022-07-13 00:43:30 normalization >     BEAUFORT,
2022-07-13 00:43:30 normalization >     LATITUDE,
2022-07-13 00:43:30 normalization >     LONGITUDE,
2022-07-13 00:43:30 normalization >     ACTUAL_TCE,
2022-07-13 00:43:30 normalization >     CREATED_AT,
2022-07-13 00:43:30 normalization >     DELETED_AT,
2022-07-13 00:43:30 normalization >     UPDATED_AT,
2022-07-13 00:43:30 normalization >     OPTIMAL_TCE,
2022-07-13 00:43:30 normalization >     ACTUAL_SPEED,
2022-07-13 00:43:30 normalization >     BUNKER_PRICE,
2022-07-13 00:43:30 normalization >     OPTIMAL_SPEED,
2022-07-13 00:43:30 normalization >     VOYAGE_NUMBER,
2022-07-13 00:43:30 normalization >     WIND_DIRECTION,
2022-07-13 00:43:30 normalization >     ADDED_RESISTANCE,
2022-07-13 00:43:30 normalization >     NAVIGATION_STATUS_DESCRIPTION,
2022-07-13 00:43:30 normalization >     _AIRBYTE_AB_ID,
2022-07-13 00:43:30 normalization >     _AIRBYTE_EMITTED_AT,
2022-07-13 00:43:30 normalization >     convert_timezone('UTC', current_timestamp()) as _AIRBYTE_NORMALIZED_AT,
2022-07-13 00:43:30 normalization >     _AIRBYTE_SIMBUNKER_SPEEDRESPONSE_HASHID
2022-07-13 00:43:30 normalization > from __dbt__cte___AIRBYTE_MT_SIMBUNKER_SPEEDRESPONSE_AB3
2022-07-13 00:43:30 normalization > -- SIMBUNKER_SPEEDRESPONSE from "DEV_LANDING".MT._AIRBYTE_RAW_SIMBUNKER_SPEEDRESPONSE
2022-07-13 00:43:30 normalization > where 1 = 1
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization >     
2022-07-13 00:43:30 normalization > and cast(_AIRBYTE_EMITTED_AT as 
2022-07-13 00:43:30 normalization >     timestamp with time zone
2022-07-13 00:43:30 normalization > ) >=
2022-07-13 00:43:30 normalization >     cast('2022-07-12 17:47:22.629000-07:00' as 
2022-07-13 00:43:30 normalization >     timestamp with time zone
2022-07-13 00:43:30 normalization > )
2022-07-13 00:43:30 normalization >     
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization >             ) order by (_AIRBYTE_EMITTED_AT)
2022-07-13 00:43:30 normalization >       );
2022-07-13 00:43:30 normalization > 00:36:21.732324 [debug] [Thread-3  ]: SQL status: SUCCESS 1 in 23.37 seconds
2022-07-13 00:43:30 normalization > 00:36:21.738443 [debug] [Thread-3  ]: Using snowflake connection "model.airbyte_utils.CARGILL_SPEED_SPEEDPLAN"
2022-07-13 00:43:30 normalization > 00:36:21.738818 [debug] [Thread-3  ]: On model.airbyte_utils.CARGILL_SPEED_SPEEDPLAN: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.CARGILL_SPEED_SPEEDPLAN"} */
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization >     describe table "DEV_LANDING".CARGILL."SPEED_SPEEDPLAN__dbt_tmp"
2022-07-13 00:43:30 normalization > 00:36:21.802928 [debug] [Thread-3  ]: SQL status: SUCCESS 41 in 0.06 seconds
2022-07-13 00:43:30 normalization > 00:36:21.813886 [debug] [Thread-3  ]: Using snowflake connection "model.airbyte_utils.CARGILL_SPEED_SPEEDPLAN"
2022-07-13 00:43:30 normalization > 00:36:21.814275 [debug] [Thread-3  ]: On model.airbyte_utils.CARGILL_SPEED_SPEEDPLAN: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.CARGILL_SPEED_SPEEDPLAN"} */
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization >     describe table "DEV_LANDING".CARGILL."SPEED_SPEEDPLAN"
2022-07-13 00:43:30 normalization > 00:36:21.869379 [debug] [Thread-3  ]: SQL status: SUCCESS 41 in 0.05 seconds
2022-07-13 00:43:30 normalization > 00:36:21.879498 [debug] [Thread-3  ]: Using snowflake connection "model.airbyte_utils.CARGILL_SPEED_SPEEDPLAN"
2022-07-13 00:43:30 normalization > 00:36:21.879909 [debug] [Thread-3  ]: On model.airbyte_utils.CARGILL_SPEED_SPEEDPLAN: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.CARGILL_SPEED_SPEEDPLAN"} */
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization >     describe table "DEV_LANDING".CARGILL."SPEED_SPEEDPLAN__dbt_tmp"
2022-07-13 00:43:30 normalization > 00:36:21.928500 [debug] [Thread-3  ]: SQL status: SUCCESS 41 in 0.05 seconds
2022-07-13 00:43:30 normalization > 00:36:21.946357 [debug] [Thread-3  ]: Using snowflake connection "model.airbyte_utils.CARGILL_SPEED_SPEEDPLAN"
2022-07-13 00:43:30 normalization > 00:36:21.947144 [debug] [Thread-3  ]: On model.airbyte_utils.CARGILL_SPEED_SPEEDPLAN: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.CARGILL_SPEED_SPEEDPLAN"} */
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization >     describe table "DEV_LANDING"."CARGILL"."SPEED_SPEEDPLAN"
2022-07-13 00:43:30 normalization > 00:36:21.998749 [debug] [Thread-3  ]: SQL status: SUCCESS 41 in 0.05 seconds
2022-07-13 00:43:30 normalization > 00:36:22.034018 [debug] [Thread-3  ]: 
2022-07-13 00:43:30 normalization >     In "DEV_LANDING"."CARGILL"."SPEED_SPEEDPLAN":
2022-07-13 00:43:30 normalization >         Schema changed: False
2022-07-13 00:43:30 normalization >         Source columns not in target: []
2022-07-13 00:43:30 normalization >         Target columns not in source: []
2022-07-13 00:43:30 normalization >         New column types: []
2022-07-13 00:43:30 normalization >   
2022-07-13 00:43:30 normalization > 00:36:22.042209 [debug] [Thread-3  ]: Writing runtime SQL for node "model.airbyte_utils.CARGILL_SPEED_SPEEDPLAN"
2022-07-13 00:43:30 normalization > 00:36:22.057356 [debug] [Thread-3  ]: Using snowflake connection "model.airbyte_utils.CARGILL_SPEED_SPEEDPLAN"
2022-07-13 00:43:30 normalization > 00:36:22.057911 [debug] [Thread-3  ]: On model.airbyte_utils.CARGILL_SPEED_SPEEDPLAN: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.CARGILL_SPEED_SPEEDPLAN"} */
2022-07-13 00:43:30 normalization > begin;
2022-07-13 00:43:30 normalization > 00:36:22.141573 [debug] [Thread-3  ]: SQL status: SUCCESS 1 in 0.08 seconds
2022-07-13 00:43:30 normalization > 00:36:22.142195 [debug] [Thread-3  ]: Using snowflake connection "model.airbyte_utils.CARGILL_SPEED_SPEEDPLAN"
2022-07-13 00:43:30 normalization > 00:36:22.142461 [debug] [Thread-3  ]: On model.airbyte_utils.CARGILL_SPEED_SPEEDPLAN: merge into "DEV_LANDING".CARGILL."SPEED_SPEEDPLAN" as DBT_INTERNAL_DEST
2022-07-13 00:43:30 normalization >         using "DEV_LANDING".CARGILL."SPEED_SPEEDPLAN__dbt_tmp" as DBT_INTERNAL_SOURCE
2022-07-13 00:43:30 normalization >         on 
2022-07-13 00:43:30 normalization >             DBT_INTERNAL_SOURCE._AIRBYTE_AB_ID = DBT_INTERNAL_DEST._AIRBYTE_AB_ID
2022-07-13 00:43:30 normalization >         
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization >     
2022-07-13 00:43:30 normalization >     when matched then update set
2022-07-13 00:43:30 normalization >         "ID" = DBT_INTERNAL_SOURCE."ID","CO2" = DBT_INTERNAL_SOURCE."CO2","UPSIDE" = DBT_INTERNAL_SOURCE."UPSIDE","DURATION" = DBT_INTERNAL_SOURCE."DURATION","CREATED_AT" = DBT_INTERNAL_SOURCE."CREATED_AT","ORDER_DATE" = DBT_INTERNAL_SOURCE."ORDER_DATE","START_DATE" = DBT_INTERNAL_SOURCE."START_DATE","UPDATED_AT" = DBT_INTERNAL_SOURCE."UPDATED_AT","ADDED_COSTS" = DBT_INTERNAL_SOURCE."ADDED_COSTS","CONSUMPTION" = DBT_INTERNAL_SOURCE."CONSUMPTION","BASELINE_CO2" = DBT_INTERNAL_SOURCE."BASELINE_CO2","REALIZED_CO2" = DBT_INTERNAL_SOURCE."REALIZED_CO2","AVERAGE_SPEED" = DBT_INTERNAL_SOURCE."AVERAGE_SPEED","INPUT_DATA_ID" = DBT_INTERNAL_SOURCE."INPUT_DATA_ID","ORDER_USER_ID" = DBT_INTERNAL_SOURCE."ORDER_USER_ID","PROJECTED_CO2" = DBT_INTERNAL_SOURCE."PROJECTED_CO2","REMAINING_CO2" = DBT_INTERNAL_SOURCE."REMAINING_CO2","VOYAGE_LEG_ID" = DBT_INTERNAL_SOURCE."VOYAGE_LEG_ID","WARRANTED_SPEED" = DBT_INTERNAL_SOURCE."WARRANTED_SPEED","SECA_CONSUMPTION" = DBT_INTERNAL_SOURCE."SECA_CONSUMPTION","BASELINE_DURATION" = DBT_INTERNAL_SOURCE."BASELINE_DURATION","CONSUMPTION_PRICE" = DBT_INTERNAL_SOURCE."CONSUMPTION_PRICE","REALIZED_DURATION" = DBT_INTERNAL_SOURCE."REALIZED_DURATION","PROJECTED_DURATION" = DBT_INTERNAL_SOURCE."PROJECTED_DURATION","REMAINING_DURATION" = DBT_INTERNAL_SOURCE."REMAINING_DURATION","AVERAGE_UPSIDE_PER_DAY" = DBT_INTERNAL_SOURCE."AVERAGE_UPSIDE_PER_DAY","PROJECTED_UPSIDE_TOTAL" = DBT_INTERNAL_SOURCE."PROJECTED_UPSIDE_TOTAL","SECA_CONSUMPTION_PRICE" = DBT_INTERNAL_SOURCE."SECA_CONSUMPTION_PRICE","PROJECTED_UPSIDE_PER_DAY" = DBT_INTERNAL_SOURCE."PROJECTED_UPSIDE_PER_DAY","BASELINE_CONSUMPTION_INSIDE_SECA" = DBT_INTERNAL_SOURCE."BASELINE_CONSUMPTION_INSIDE_SECA","REALIZED_CONSUMPTION_INSIDE_SECA" = DBT_INTERNAL_SOURCE."REALIZED_CONSUMPTION_INSIDE_SECA","BASELINE_CONSUMPTION_OUTSIDE_SECA" = DBT_INTERNAL_SOURCE."BASELINE_CONSUMPTION_OUTSIDE_SECA","PROJECTED_CONSUMPTION_INSIDE_SECA" = DBT_INTERNAL_SOURCE."PROJECTED_CONSUMPTION_INSIDE_SECA","REALIZED_CONSUMPTION_OUTSIDE_SECA" = DBT_INTERNAL_SOURCE."REALIZED_CONSUMPTION_OUTSIDE_SECA","REMAINING_CONSUMPTION_INSIDE_SECA" = DBT_INTERNAL_SOURCE."REMAINING_CONSUMPTION_INSIDE_SECA","PROJECTED_CONSUMPTION_OUTSIDE_SECA" = DBT_INTERNAL_SOURCE."PROJECTED_CONSUMPTION_OUTSIDE_SECA","REMAINING_CONSUMPTION_OUTSIDE_SECA" = DBT_INTERNAL_SOURCE."REMAINING_CONSUMPTION_OUTSIDE_SECA","_AIRBYTE_AB_ID" = DBT_INTERNAL_SOURCE."_AIRBYTE_AB_ID","_AIRBYTE_EMITTED_AT" = DBT_INTERNAL_SOURCE."_AIRBYTE_EMITTED_AT","_AIRBYTE_NORMALIZED_AT" = DBT_INTERNAL_SOURCE."_AIRBYTE_NORMALIZED_AT","_AIRBYTE_SPEED_SPEEDPLAN_HASHID" = DBT_INTERNAL_SOURCE."_AIRBYTE_SPEED_SPEEDPLAN_HASHID"
2022-07-13 00:43:30 normalization >     
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization >     when not matched then insert
2022-07-13 00:43:30 normalization >         ("ID", "CO2", "UPSIDE", "DURATION", "CREATED_AT", "ORDER_DATE", "START_DATE", "UPDATED_AT", "ADDED_COSTS", "CONSUMPTION", "BASELINE_CO2", "REALIZED_CO2", "AVERAGE_SPEED", "INPUT_DATA_ID", "ORDER_USER_ID", "PROJECTED_CO2", "REMAINING_CO2", "VOYAGE_LEG_ID", "WARRANTED_SPEED", "SECA_CONSUMPTION", "BASELINE_DURATION", "CONSUMPTION_PRICE", "REALIZED_DURATION", "PROJECTED_DURATION", "REMAINING_DURATION", "AVERAGE_UPSIDE_PER_DAY", "PROJECTED_UPSIDE_TOTAL", "SECA_CONSUMPTION_PRICE", "PROJECTED_UPSIDE_PER_DAY", "BASELINE_CONSUMPTION_INSIDE_SECA", "REALIZED_CONSUMPTION_INSIDE_SECA", "BASELINE_CONSUMPTION_OUTSIDE_SECA", "PROJECTED_CONSUMPTION_INSIDE_SECA", "REALIZED_CONSUMPTION_OUTSIDE_SECA", "REMAINING_CONSUMPTION_INSIDE_SECA", "PROJECTED_CONSUMPTION_OUTSIDE_SECA", "REMAINING_CONSUMPTION_OUTSIDE_SECA", "_AIRBYTE_AB_ID", "_AIRBYTE_EMITTED_AT", "_AIRBYTE_NORMALIZED_AT", "_AIRBYTE_SPEED_SPEEDPLAN_HASHID")
2022-07-13 00:43:30 normalization >     values
2022-07-13 00:43:30 normalization >         ("ID", "CO2", "UPSIDE", "DURATION", "CREATED_AT", "ORDER_DATE", "START_DATE", "UPDATED_AT", "ADDED_COSTS", "CONSUMPTION", "BASELINE_CO2", "REALIZED_CO2", "AVERAGE_SPEED", "INPUT_DATA_ID", "ORDER_USER_ID", "PROJECTED_CO2", "REMAINING_CO2", "VOYAGE_LEG_ID", "WARRANTED_SPEED", "SECA_CONSUMPTION", "BASELINE_DURATION", "CONSUMPTION_PRICE", "REALIZED_DURATION", "PROJECTED_DURATION", "REMAINING_DURATION", "AVERAGE_UPSIDE_PER_DAY", "PROJECTED_UPSIDE_TOTAL", "SECA_CONSUMPTION_PRICE", "PROJECTED_UPSIDE_PER_DAY", "BASELINE_CONSUMPTION_INSIDE_SECA", "REALIZED_CONSUMPTION_INSIDE_SECA", "BASELINE_CONSUMPTION_OUTSIDE_SECA", "PROJECTED_CONSUMPTION_INSIDE_SECA", "REALIZED_CONSUMPTION_OUTSIDE_SECA", "REMAINING_CONSUMPTION_INSIDE_SECA", "PROJECTED_CONSUMPTION_OUTSIDE_SECA", "REMAINING_CONSUMPTION_OUTSIDE_SECA", "_AIRBYTE_AB_ID", "_AIRBYTE_EMITTED_AT", "_AIRBYTE_NORMALIZED_AT", "_AIRBYTE_SPEED_SPEEDPLAN_HASHID")
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization > ;
2022-07-13 00:43:30 normalization > 00:36:28.540330 [debug] [Thread-5  ]: SQL status: SUCCESS 1 in 16.1 seconds
2022-07-13 00:43:30 normalization > 00:36:28.548428 [debug] [Thread-5  ]: Using snowflake connection "model.airbyte_utils.MT_SIMBUNKER_SPEEDRESPONSE"
2022-07-13 00:43:30 normalization > 00:36:28.548815 [debug] [Thread-5  ]: On model.airbyte_utils.MT_SIMBUNKER_SPEEDRESPONSE: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.MT_SIMBUNKER_SPEEDRESPONSE"} */
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization >     describe table "DEV_LANDING".MT."SIMBUNKER_SPEEDRESPONSE__dbt_tmp"
2022-07-13 00:43:30 normalization > 00:36:28.596847 [debug] [Thread-5  ]: SQL status: SUCCESS 26 in 0.05 seconds
2022-07-13 00:43:30 normalization > 00:36:28.605770 [debug] [Thread-5  ]: Using snowflake connection "model.airbyte_utils.MT_SIMBUNKER_SPEEDRESPONSE"
2022-07-13 00:43:30 normalization > 00:36:28.606297 [debug] [Thread-5  ]: On model.airbyte_utils.MT_SIMBUNKER_SPEEDRESPONSE: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.MT_SIMBUNKER_SPEEDRESPONSE"} */
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization >     describe table "DEV_LANDING".MT."SIMBUNKER_SPEEDRESPONSE"
2022-07-13 00:43:30 normalization > 00:36:28.646327 [debug] [Thread-5  ]: SQL status: SUCCESS 26 in 0.04 seconds
2022-07-13 00:43:30 normalization > 00:36:28.656755 [debug] [Thread-5  ]: Using snowflake connection "model.airbyte_utils.MT_SIMBUNKER_SPEEDRESPONSE"
2022-07-13 00:43:30 normalization > 00:36:28.657371 [debug] [Thread-5  ]: On model.airbyte_utils.MT_SIMBUNKER_SPEEDRESPONSE: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.MT_SIMBUNKER_SPEEDRESPONSE"} */
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization >     describe table "DEV_LANDING".MT."SIMBUNKER_SPEEDRESPONSE__dbt_tmp"
2022-07-13 00:43:30 normalization > 00:36:28.694087 [debug] [Thread-5  ]: SQL status: SUCCESS 26 in 0.04 seconds
2022-07-13 00:43:30 normalization > 00:36:28.704333 [debug] [Thread-5  ]: Using snowflake connection "model.airbyte_utils.MT_SIMBUNKER_SPEEDRESPONSE"
2022-07-13 00:43:30 normalization > 00:36:28.704728 [debug] [Thread-5  ]: On model.airbyte_utils.MT_SIMBUNKER_SPEEDRESPONSE: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.MT_SIMBUNKER_SPEEDRESPONSE"} */
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization >     describe table "DEV_LANDING"."MT"."SIMBUNKER_SPEEDRESPONSE"
2022-07-13 00:43:30 normalization > 00:36:28.764189 [debug] [Thread-5  ]: SQL status: SUCCESS 26 in 0.06 seconds
2022-07-13 00:43:30 normalization > 00:36:28.780719 [debug] [Thread-5  ]: 
2022-07-13 00:43:30 normalization >     In "DEV_LANDING"."MT"."SIMBUNKER_SPEEDRESPONSE":
2022-07-13 00:43:30 normalization >         Schema changed: False
2022-07-13 00:43:30 normalization >         Source columns not in target: []
2022-07-13 00:43:30 normalization >         Target columns not in source: []
2022-07-13 00:43:30 normalization >         New column types: []
2022-07-13 00:43:30 normalization >   
2022-07-13 00:43:30 normalization > 00:36:28.786411 [debug] [Thread-5  ]: Writing runtime SQL for node "model.airbyte_utils.MT_SIMBUNKER_SPEEDRESPONSE"
2022-07-13 00:43:30 normalization > 00:36:28.790359 [debug] [Thread-5  ]: Using snowflake connection "model.airbyte_utils.MT_SIMBUNKER_SPEEDRESPONSE"
2022-07-13 00:43:30 normalization > 00:36:28.790722 [debug] [Thread-5  ]: On model.airbyte_utils.MT_SIMBUNKER_SPEEDRESPONSE: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.MT_SIMBUNKER_SPEEDRESPONSE"} */
2022-07-13 00:43:30 normalization > begin;
2022-07-13 00:43:30 normalization > 00:36:28.844717 [debug] [Thread-5  ]: SQL status: SUCCESS 1 in 0.05 seconds
2022-07-13 00:43:30 normalization > 00:36:28.845308 [debug] [Thread-5  ]: Using snowflake connection "model.airbyte_utils.MT_SIMBUNKER_SPEEDRESPONSE"
2022-07-13 00:43:30 normalization > 00:36:28.845606 [debug] [Thread-5  ]: On model.airbyte_utils.MT_SIMBUNKER_SPEEDRESPONSE: merge into "DEV_LANDING".MT."SIMBUNKER_SPEEDRESPONSE" as DBT_INTERNAL_DEST
2022-07-13 00:43:30 normalization >         using "DEV_LANDING".MT."SIMBUNKER_SPEEDRESPONSE__dbt_tmp" as DBT_INTERNAL_SOURCE
2022-07-13 00:43:30 normalization >         on 
2022-07-13 00:43:30 normalization >             DBT_INTERNAL_SOURCE._AIRBYTE_AB_ID = DBT_INTERNAL_DEST._AIRBYTE_AB_ID
2022-07-13 00:43:30 normalization >         
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization >     
2022-07-13 00:43:30 normalization >     when matched then update set
2022-07-13 00:43:30 normalization >         "ID" = DBT_INTERNAL_SOURCE."ID","IMO" = DBT_INTERNAL_SOURCE."IMO","DATE" = DBT_INTERNAL_SOURCE."DATE","NAME" = DBT_INTERNAL_SOURCE."NAME","_ETL_ID" = DBT_INTERNAL_SOURCE."_ETL_ID","DRAUGHT" = DBT_INTERNAL_SOURCE."DRAUGHT","HEADING" = DBT_INTERNAL_SOURCE."HEADING","BEAUFORT" = DBT_INTERNAL_SOURCE."BEAUFORT","LATITUDE" = DBT_INTERNAL_SOURCE."LATITUDE","LONGITUDE" = DBT_INTERNAL_SOURCE."LONGITUDE","ACTUAL_TCE" = DBT_INTERNAL_SOURCE."ACTUAL_TCE","CREATED_AT" = DBT_INTERNAL_SOURCE."CREATED_AT","DELETED_AT" = DBT_INTERNAL_SOURCE."DELETED_AT","UPDATED_AT" = DBT_INTERNAL_SOURCE."UPDATED_AT","OPTIMAL_TCE" = DBT_INTERNAL_SOURCE."OPTIMAL_TCE","ACTUAL_SPEED" = DBT_INTERNAL_SOURCE."ACTUAL_SPEED","BUNKER_PRICE" = DBT_INTERNAL_SOURCE."BUNKER_PRICE","OPTIMAL_SPEED" = DBT_INTERNAL_SOURCE."OPTIMAL_SPEED","VOYAGE_NUMBER" = DBT_INTERNAL_SOURCE."VOYAGE_NUMBER","WIND_DIRECTION" = DBT_INTERNAL_SOURCE."WIND_DIRECTION","ADDED_RESISTANCE" = DBT_INTERNAL_SOURCE."ADDED_RESISTANCE","NAVIGATION_STATUS_DESCRIPTION" = DBT_INTERNAL_SOURCE."NAVIGATION_STATUS_DESCRIPTION","_AIRBYTE_AB_ID" = DBT_INTERNAL_SOURCE."_AIRBYTE_AB_ID","_AIRBYTE_EMITTED_AT" = DBT_INTERNAL_SOURCE."_AIRBYTE_EMITTED_AT","_AIRBYTE_NORMALIZED_AT" = DBT_INTERNAL_SOURCE."_AIRBYTE_NORMALIZED_AT","_AIRBYTE_SIMBUNKER_SPEEDRESPONSE_HASHID" = DBT_INTERNAL_SOURCE."_AIRBYTE_SIMBUNKER_SPEEDRESPONSE_HASHID"
2022-07-13 00:43:30 normalization >     
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization >     when not matched then insert
2022-07-13 00:43:30 normalization >         ("ID", "IMO", "DATE", "NAME", "_ETL_ID", "DRAUGHT", "HEADING", "BEAUFORT", "LATITUDE", "LONGITUDE", "ACTUAL_TCE", "CREATED_AT", "DELETED_AT", "UPDATED_AT", "OPTIMAL_TCE", "ACTUAL_SPEED", "BUNKER_PRICE", "OPTIMAL_SPEED", "VOYAGE_NUMBER", "WIND_DIRECTION", "ADDED_RESISTANCE", "NAVIGATION_STATUS_DESCRIPTION", "_AIRBYTE_AB_ID", "_AIRBYTE_EMITTED_AT", "_AIRBYTE_NORMALIZED_AT", "_AIRBYTE_SIMBUNKER_SPEEDRESPONSE_HASHID")
2022-07-13 00:43:30 normalization >     values
2022-07-13 00:43:30 normalization >         ("ID", "IMO", "DATE", "NAME", "_ETL_ID", "DRAUGHT", "HEADING", "BEAUFORT", "LATITUDE", "LONGITUDE", "ACTUAL_TCE", "CREATED_AT", "DELETED_AT", "UPDATED_AT", "OPTIMAL_TCE", "ACTUAL_SPEED", "BUNKER_PRICE", "OPTIMAL_SPEED", "VOYAGE_NUMBER", "WIND_DIRECTION", "ADDED_RESISTANCE", "NAVIGATION_STATUS_DESCRIPTION", "_AIRBYTE_AB_ID", "_AIRBYTE_EMITTED_AT", "_AIRBYTE_NORMALIZED_AT", "_AIRBYTE_SIMBUNKER_SPEEDRESPONSE_HASHID")
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization > ;
2022-07-13 00:43:30 normalization > 00:36:35.496106 [debug] [Thread-1  ]: SQL status: SUCCESS 295708 in 36.74 seconds
2022-07-13 00:43:30 normalization > 00:36:35.503668 [debug] [Thread-1  ]: Using snowflake connection "model.airbyte_utils.CARGILL_SPEED_SPEEDPLANINPUT"
2022-07-13 00:43:30 normalization > 00:36:35.504168 [debug] [Thread-1  ]: On model.airbyte_utils.CARGILL_SPEED_SPEEDPLANINPUT: commit;
2022-07-13 00:43:30 normalization > 00:36:35.676770 [debug] [Thread-1  ]: SQL status: SUCCESS 1 in 0.17 seconds
2022-07-13 00:43:30 normalization > 00:36:35.744167 [debug] [Thread-1  ]: finished collecting timing info
2022-07-13 00:43:30 normalization > 00:36:35.744740 [debug] [Thread-1  ]: On model.airbyte_utils.CARGILL_SPEED_SPEEDPLANINPUT: Close
2022-07-13 00:43:30 normalization > 00:36:35.826598 [info ] [Thread-1  ]: 13 of 60 OK created incremental model CARGILL.SPEED_SPEEDPLANINPUT...................................................... [SUCCESS 1 in 53.41s]
2022-07-13 00:43:30 normalization > 00:36:35.827730 [debug] [Thread-1  ]: Finished running node model.airbyte_utils.CARGILL_SPEED_SPEEDPLANINPUT
2022-07-13 00:43:30 normalization > 00:36:35.828553 [debug] [Thread-1  ]: Began running node model.airbyte_utils.MT_SPEED_SNOOZEVESSEL
2022-07-13 00:43:30 normalization > 00:36:35.829139 [info ] [Thread-1  ]: 24 of 60 START incremental model MT.SPEED_SNOOZEVESSEL.................................................................. [RUN]
2022-07-13 00:43:30 normalization > 00:36:35.830224 [debug] [Thread-1  ]: Acquiring new snowflake connection "model.airbyte_utils.MT_SPEED_SNOOZEVESSEL"
2022-07-13 00:43:30 normalization > 00:36:35.831826 [debug] [Thread-1  ]: Began compiling node model.airbyte_utils.MT_SPEED_SNOOZEVESSEL
2022-07-13 00:43:30 normalization > 00:36:35.833251 [debug] [Thread-1  ]: Compiling model.airbyte_utils.MT_SPEED_SNOOZEVESSEL
2022-07-13 00:43:30 normalization > 00:36:35.913624 [debug] [Thread-1  ]: Using snowflake connection "model.airbyte_utils.MT_SPEED_SNOOZEVESSEL"
2022-07-13 00:43:30 normalization > 00:36:35.914214 [debug] [Thread-1  ]: On model.airbyte_utils.MT_SPEED_SNOOZEVESSEL: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.MT_SPEED_SNOOZEVESSEL"} */
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization >     describe table "DEV_LANDING".MT."SPEED_SNOOZEVESSEL"
2022-07-13 00:43:30 normalization > 00:36:35.914640 [debug] [Thread-1  ]: Opening a new connection, currently in state closed
2022-07-13 00:43:30 normalization > 00:36:36.911563 [debug] [Thread-1  ]: SQL status: SUCCESS 16 in 1.0 seconds
2022-07-13 00:43:30 normalization > 00:36:37.035789 [debug] [Thread-1  ]: Using snowflake connection "model.airbyte_utils.MT_SPEED_SNOOZEVESSEL"
2022-07-13 00:43:30 normalization > 00:36:37.036181 [debug] [Thread-1  ]: On model.airbyte_utils.MT_SPEED_SNOOZEVESSEL: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.MT_SPEED_SNOOZEVESSEL"} */
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization >     describe table "DEV_LANDING".MT."SPEED_SNOOZEVESSEL"
2022-07-13 00:43:30 normalization > 00:36:37.081130 [debug] [Thread-1  ]: SQL status: SUCCESS 16 in 0.04 seconds
2022-07-13 00:43:30 normalization > 00:36:37.086033 [debug] [Thread-1  ]: Using snowflake connection "model.airbyte_utils.MT_SPEED_SNOOZEVESSEL"
2022-07-13 00:43:30 normalization > 00:36:37.086403 [debug] [Thread-1  ]: On model.airbyte_utils.MT_SPEED_SNOOZEVESSEL: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.MT_SPEED_SNOOZEVESSEL"} */
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization >     
2022-07-13 00:43:30 normalization >         select max(cast(_AIRBYTE_EMITTED_AT as 
2022-07-13 00:43:30 normalization >     timestamp with time zone
2022-07-13 00:43:30 normalization > )) from "DEV_LANDING".MT."SPEED_SNOOZEVESSEL"
2022-07-13 00:43:30 normalization > 00:36:37.545122 [debug] [Thread-1  ]: SQL status: SUCCESS 1 in 0.46 seconds
2022-07-13 00:43:30 normalization > 00:36:37.626754 [debug] [Thread-1  ]: Using snowflake connection "model.airbyte_utils.MT_SPEED_SNOOZEVESSEL"
2022-07-13 00:43:30 normalization > 00:36:37.627390 [debug] [Thread-1  ]: On model.airbyte_utils.MT_SPEED_SNOOZEVESSEL: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.MT_SPEED_SNOOZEVESSEL"} */
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization >     describe table "DEV_LANDING".MT."SPEED_SNOOZEVESSEL"
2022-07-13 00:43:30 normalization > 00:36:37.698316 [debug] [Thread-1  ]: SQL status: SUCCESS 16 in 0.07 seconds
2022-07-13 00:43:30 normalization > 00:36:37.703916 [debug] [Thread-1  ]: Using snowflake connection "model.airbyte_utils.MT_SPEED_SNOOZEVESSEL"
2022-07-13 00:43:30 normalization > 00:36:37.704307 [debug] [Thread-1  ]: On model.airbyte_utils.MT_SPEED_SNOOZEVESSEL: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.MT_SPEED_SNOOZEVESSEL"} */
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization >     
2022-07-13 00:43:30 normalization >         select max(cast(_AIRBYTE_EMITTED_AT as 
2022-07-13 00:43:30 normalization >     timestamp with time zone
2022-07-13 00:43:30 normalization > )) from "DEV_LANDING".MT."SPEED_SNOOZEVESSEL"
2022-07-13 00:43:30 normalization > 00:36:37.748819 [debug] [Thread-1  ]: SQL status: SUCCESS 1 in 0.04 seconds
2022-07-13 00:43:30 normalization > 00:36:37.764928 [debug] [Thread-1  ]: Writing injected SQL for node "model.airbyte_utils.MT_SPEED_SNOOZEVESSEL"
2022-07-13 00:43:30 normalization > 00:36:37.765578 [debug] [Thread-1  ]: finished collecting timing info
2022-07-13 00:43:30 normalization > 00:36:37.765880 [debug] [Thread-1  ]: Began executing node model.airbyte_utils.MT_SPEED_SNOOZEVESSEL
2022-07-13 00:43:30 normalization > 00:36:37.776265 [debug] [Thread-1  ]: Using snowflake connection "model.airbyte_utils.MT_SPEED_SNOOZEVESSEL"
2022-07-13 00:43:30 normalization > 00:36:37.776658 [debug] [Thread-1  ]: On model.airbyte_utils.MT_SPEED_SNOOZEVESSEL: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.MT_SPEED_SNOOZEVESSEL"} */
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization >     describe table "DEV_LANDING".MT."SPEED_SNOOZEVESSEL"
2022-07-13 00:43:30 normalization > 00:36:37.838827 [debug] [Thread-1  ]: SQL status: SUCCESS 16 in 0.06 seconds
2022-07-13 00:43:30 normalization > 00:36:37.947743 [debug] [Thread-1  ]: Using snowflake connection "model.airbyte_utils.MT_SPEED_SNOOZEVESSEL"
2022-07-13 00:43:30 normalization > 00:36:37.948288 [debug] [Thread-1  ]: On model.airbyte_utils.MT_SPEED_SNOOZEVESSEL: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.MT_SPEED_SNOOZEVESSEL"} */
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization >     
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization >       create or replace temporary table "DEV_LANDING".MT."SPEED_SNOOZEVESSEL__dbt_tmp"  as
2022-07-13 00:43:30 normalization >       (select * from(
2022-07-13 00:43:30 normalization >             
2022-07-13 00:43:30 normalization > with __dbt__cte___AIRBYTE_MT_SPEED_SNOOZEVESSEL_AB1 as (
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema
2022-07-13 00:43:30 normalization > -- depends_on: "DEV_LANDING".MT._AIRBYTE_RAW_SPEED_SNOOZEVESSEL
2022-07-13 00:43:30 normalization > select
2022-07-13 00:43:30 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"id"')) as ID,
2022-07-13 00:43:30 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"reason"')) as REASON,
2022-07-13 00:43:30 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"end_date"')) as END_DATE,
2022-07-13 00:43:30 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"vessel_id"')) as VESSEL_ID,
2022-07-13 00:43:30 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"created_at"')) as CREATED_AT,
2022-07-13 00:43:30 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"start_date"')) as START_DATE,
2022-07-13 00:43:30 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"updated_at"')) as UPDATED_AT,
2022-07-13 00:43:30 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"snooze_user_id"')) as SNOOZE_USER_ID,
2022-07-13 00:43:30 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"unsnooze_user_id"')) as UNSNOOZE_USER_ID,
2022-07-13 00:43:30 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"snooze_end_port_id"')) as SNOOZE_END_PORT_ID,
2022-07-13 00:43:30 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"snooze_end_latitude"')) as SNOOZE_END_LATITUDE,
2022-07-13 00:43:30 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"snooze_end_longitude"')) as SNOOZE_END_LONGITUDE,
2022-07-13 00:43:30 normalization >     _AIRBYTE_AB_ID,
2022-07-13 00:43:30 normalization >     _AIRBYTE_EMITTED_AT,
2022-07-13 00:43:30 normalization >     convert_timezone('UTC', current_timestamp()) as _AIRBYTE_NORMALIZED_AT
2022-07-13 00:43:30 normalization > from "DEV_LANDING".MT._AIRBYTE_RAW_SPEED_SNOOZEVESSEL as table_alias
2022-07-13 00:43:30 normalization > -- SPEED_SNOOZEVESSEL
2022-07-13 00:43:30 normalization > where 1 = 1
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization > ),  __dbt__cte___AIRBYTE_MT_SPEED_SNOOZEVESSEL_AB2 as (
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type
2022-07-13 00:43:30 normalization > -- depends_on: __dbt__cte___AIRBYTE_MT_SPEED_SNOOZEVESSEL_AB1
2022-07-13 00:43:30 normalization > select
2022-07-13 00:43:30 normalization >     cast(ID as 
2022-07-13 00:43:30 normalization >     float
2022-07-13 00:43:30 normalization > ) as ID,
2022-07-13 00:43:30 normalization >     cast(REASON as 
2022-07-13 00:43:30 normalization >     varchar
2022-07-13 00:43:30 normalization > ) as REASON,
2022-07-13 00:43:30 normalization >     case
2022-07-13 00:43:30 normalization >         when END_DATE regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}(\\+|-)\\d{4}' then to_timestamp_tz(END_DATE, 'YYYY-MM-DDTHH24:MI:SSTZHTZM')
2022-07-13 00:43:30 normalization >         when END_DATE regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}(\\+|-)\\d{2}' then to_timestamp_tz(END_DATE, 'YYYY-MM-DDTHH24:MI:SSTZH')
2022-07-13 00:43:30 normalization >         when END_DATE regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}\\.\\d{1,7}(\\+|-)\\d{4}' then to_timestamp_tz(END_DATE, 'YYYY-MM-DDTHH24:MI:SS.FFTZHTZM')
2022-07-13 00:43:30 normalization >         when END_DATE regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}\\.\\d{1,7}(\\+|-)\\d{2}' then to_timestamp_tz(END_DATE, 'YYYY-MM-DDTHH24:MI:SS.FFTZH')
2022-07-13 00:43:30 normalization >         when END_DATE = '' then NULL
2022-07-13 00:43:30 normalization >     else to_timestamp_tz(END_DATE)
2022-07-13 00:43:30 normalization >     end as END_DATE
2022-07-13 00:43:30 normalization >     ,
2022-07-13 00:43:30 normalization >     cast(VESSEL_ID as 
2022-07-13 00:43:30 normalization >     float
2022-07-13 00:43:30 normalization > ) as VESSEL_ID,
2022-07-13 00:43:30 normalization >     case
2022-07-13 00:43:30 normalization >         when CREATED_AT regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}(\\+|-)\\d{4}' then to_timestamp_tz(CREATED_AT, 'YYYY-MM-DDTHH24:MI:SSTZHTZM')
2022-07-13 00:43:30 normalization >         when CREATED_AT regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}(\\+|-)\\d{2}' then to_timestamp_tz(CREATED_AT, 'YYYY-MM-DDTHH24:MI:SSTZH')
2022-07-13 00:43:30 normalization >         when CREATED_AT regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}\\.\\d{1,7}(\\+|-)\\d{4}' then to_timestamp_tz(CREATED_AT, 'YYYY-MM-DDTHH24:MI:SS.FFTZHTZM')
2022-07-13 00:43:30 normalization >         when CREATED_AT regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}\\.\\d{1,7}(\\+|-)\\d{2}' then to_timestamp_tz(CREATED_AT, 'YYYY-MM-DDTHH24:MI:SS.FFTZH')
2022-07-13 00:43:30 normalization >         when CREATED_AT = '' then NULL
2022-07-13 00:43:30 normalization >     else to_timestamp_tz(CREATED_AT)
2022-07-13 00:43:30 normalization >     end as CREATED_AT
2022-07-13 00:43:30 normalization >     ,
2022-07-13 00:43:30 normalization >     case
2022-07-13 00:43:30 normalization >         when START_DATE regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}(\\+|-)\\d{4}' then to_timestamp_tz(START_DATE, 'YYYY-MM-DDTHH24:MI:SSTZHTZM')
2022-07-13 00:43:30 normalization >         when START_DATE regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}(\\+|-)\\d{2}' then to_timestamp_tz(START_DATE, 'YYYY-MM-DDTHH24:MI:SSTZH')
2022-07-13 00:43:30 normalization >         when START_DATE regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}\\.\\d{1,7}(\\+|-)\\d{4}' then to_timestamp_tz(START_DATE, 'YYYY-MM-DDTHH24:MI:SS.FFTZHTZM')
2022-07-13 00:43:30 normalization >         when START_DATE regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}\\.\\d{1,7}(\\+|-)\\d{2}' then to_timestamp_tz(START_DATE, 'YYYY-MM-DDTHH24:MI:SS.FFTZH')
2022-07-13 00:43:30 normalization >         when START_DATE = '' then NULL
2022-07-13 00:43:30 normalization >     else to_timestamp_tz(START_DATE)
2022-07-13 00:43:30 normalization >     end as START_DATE
2022-07-13 00:43:30 normalization >     ,
2022-07-13 00:43:30 normalization >     case
2022-07-13 00:43:30 normalization >         when UPDATED_AT regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}(\\+|-)\\d{4}' then to_timestamp_tz(UPDATED_AT, 'YYYY-MM-DDTHH24:MI:SSTZHTZM')
2022-07-13 00:43:30 normalization >         when UPDATED_AT regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}(\\+|-)\\d{2}' then to_timestamp_tz(UPDATED_AT, 'YYYY-MM-DDTHH24:MI:SSTZH')
2022-07-13 00:43:30 normalization >         when UPDATED_AT regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}\\.\\d{1,7}(\\+|-)\\d{4}' then to_timestamp_tz(UPDATED_AT, 'YYYY-MM-DDTHH24:MI:SS.FFTZHTZM')
2022-07-13 00:43:30 normalization >         when UPDATED_AT regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}\\.\\d{1,7}(\\+|-)\\d{2}' then to_timestamp_tz(UPDATED_AT, 'YYYY-MM-DDTHH24:MI:SS.FFTZH')
2022-07-13 00:43:30 normalization >         when UPDATED_AT = '' then NULL
2022-07-13 00:43:30 normalization >     else to_timestamp_tz(UPDATED_AT)
2022-07-13 00:43:30 normalization >     end as UPDATED_AT
2022-07-13 00:43:30 normalization >     ,
2022-07-13 00:43:30 normalization >     cast(SNOOZE_USER_ID as 
2022-07-13 00:43:30 normalization >     float
2022-07-13 00:43:30 normalization > ) as SNOOZE_USER_ID,
2022-07-13 00:43:30 normalization >     cast(UNSNOOZE_USER_ID as 
2022-07-13 00:43:30 normalization >     float
2022-07-13 00:43:30 normalization > ) as UNSNOOZE_USER_ID,
2022-07-13 00:43:30 normalization >     cast(SNOOZE_END_PORT_ID as 
2022-07-13 00:43:30 normalization >     varchar
2022-07-13 00:43:30 normalization > ) as SNOOZE_END_PORT_ID,
2022-07-13 00:43:30 normalization >     cast(SNOOZE_END_LATITUDE as 
2022-07-13 00:43:30 normalization >     float
2022-07-13 00:43:30 normalization > ) as SNOOZE_END_LATITUDE,
2022-07-13 00:43:30 normalization >     cast(SNOOZE_END_LONGITUDE as 
2022-07-13 00:43:30 normalization >     float
2022-07-13 00:43:30 normalization > ) as SNOOZE_END_LONGITUDE,
2022-07-13 00:43:30 normalization >     _AIRBYTE_AB_ID,
2022-07-13 00:43:30 normalization >     _AIRBYTE_EMITTED_AT,
2022-07-13 00:43:30 normalization >     convert_timezone('UTC', current_timestamp()) as _AIRBYTE_NORMALIZED_AT
2022-07-13 00:43:30 normalization > from __dbt__cte___AIRBYTE_MT_SPEED_SNOOZEVESSEL_AB1
2022-07-13 00:43:30 normalization > -- SPEED_SNOOZEVESSEL
2022-07-13 00:43:30 normalization > where 1 = 1
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization > ),  __dbt__cte___AIRBYTE_MT_SPEED_SNOOZEVESSEL_AB3 as (
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization > -- SQL model to build a hash column based on the values of this record
2022-07-13 00:43:30 normalization > -- depends_on: __dbt__cte___AIRBYTE_MT_SPEED_SNOOZEVESSEL_AB2
2022-07-13 00:43:30 normalization > select
2022-07-13 00:43:30 normalization >     md5(cast(coalesce(cast(ID as 
2022-07-13 00:43:30 normalization >     varchar
2022-07-13 00:43:30 normalization > ), '') || '-' || coalesce(cast(REASON as 
2022-07-13 00:43:30 normalization >     varchar
2022-07-13 00:43:30 normalization > ), '') || '-' || coalesce(cast(END_DATE as 
2022-07-13 00:43:30 normalization >     varchar
2022-07-13 00:43:30 normalization > ), '') || '-' || coalesce(cast(VESSEL_ID as 
2022-07-13 00:43:30 normalization >     varchar
2022-07-13 00:43:30 normalization > ), '') || '-' || coalesce(cast(CREATED_AT as 
2022-07-13 00:43:30 normalization >     varchar
2022-07-13 00:43:30 normalization > ), '') || '-' || coalesce(cast(START_DATE as 
2022-07-13 00:43:30 normalization >     varchar
2022-07-13 00:43:30 normalization > ), '') || '-' || coalesce(cast(UPDATED_AT as 
2022-07-13 00:43:30 normalization >     varchar
2022-07-13 00:43:30 normalization > ), '') || '-' || coalesce(cast(SNOOZE_USER_ID as 
2022-07-13 00:43:30 normalization >     varchar
2022-07-13 00:43:30 normalization > ), '') || '-' || coalesce(cast(UNSNOOZE_USER_ID as 
2022-07-13 00:43:30 normalization >     varchar
2022-07-13 00:43:30 normalization > ), '') || '-' || coalesce(cast(SNOOZE_END_PORT_ID as 
2022-07-13 00:43:30 normalization >     varchar
2022-07-13 00:43:30 normalization > ), '') || '-' || coalesce(cast(SNOOZE_END_LATITUDE as 
2022-07-13 00:43:30 normalization >     varchar
2022-07-13 00:43:30 normalization > ), '') || '-' || coalesce(cast(SNOOZE_END_LONGITUDE as 
2022-07-13 00:43:30 normalization >     varchar
2022-07-13 00:43:30 normalization > ), '') as 
2022-07-13 00:43:30 normalization >     varchar
2022-07-13 00:43:30 normalization > )) as _AIRBYTE_SPEED_SNOOZEVESSEL_HASHID,
2022-07-13 00:43:30 normalization >     tmp.*
2022-07-13 00:43:30 normalization > from __dbt__cte___AIRBYTE_MT_SPEED_SNOOZEVESSEL_AB2 tmp
2022-07-13 00:43:30 normalization > -- SPEED_SNOOZEVESSEL
2022-07-13 00:43:30 normalization > where 1 = 1
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization > )-- Final base SQL model
2022-07-13 00:43:30 normalization > -- depends_on: __dbt__cte___AIRBYTE_MT_SPEED_SNOOZEVESSEL_AB3
2022-07-13 00:43:30 normalization > select
2022-07-13 00:43:30 normalization >     ID,
2022-07-13 00:43:30 normalization >     REASON,
2022-07-13 00:43:30 normalization >     END_DATE,
2022-07-13 00:43:30 normalization >     VESSEL_ID,
2022-07-13 00:43:30 normalization >     CREATED_AT,
2022-07-13 00:43:30 normalization >     START_DATE,
2022-07-13 00:43:30 normalization >     UPDATED_AT,
2022-07-13 00:43:30 normalization >     SNOOZE_USER_ID,
2022-07-13 00:43:30 normalization >     UNSNOOZE_USER_ID,
2022-07-13 00:43:30 normalization >     SNOOZE_END_PORT_ID,
2022-07-13 00:43:30 normalization >     SNOOZE_END_LATITUDE,
2022-07-13 00:43:30 normalization >     SNOOZE_END_LONGITUDE,
2022-07-13 00:43:30 normalization >     _AIRBYTE_AB_ID,
2022-07-13 00:43:30 normalization >     _AIRBYTE_EMITTED_AT,
2022-07-13 00:43:30 normalization >     convert_timezone('UTC', current_timestamp()) as _AIRBYTE_NORMALIZED_AT,
2022-07-13 00:43:30 normalization >     _AIRBYTE_SPEED_SNOOZEVESSEL_HASHID
2022-07-13 00:43:30 normalization > from __dbt__cte___AIRBYTE_MT_SPEED_SNOOZEVESSEL_AB3
2022-07-13 00:43:30 normalization > -- SPEED_SNOOZEVESSEL from "DEV_LANDING".MT._AIRBYTE_RAW_SPEED_SNOOZEVESSEL
2022-07-13 00:43:30 normalization > where 1 = 1
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization >     
2022-07-13 00:43:30 normalization > and cast(_AIRBYTE_EMITTED_AT as 
2022-07-13 00:43:30 normalization >     timestamp with time zone
2022-07-13 00:43:30 normalization > ) >=
2022-07-13 00:43:30 normalization >     cast('2022-07-12 17:47:22.629000-07:00' as 
2022-07-13 00:43:30 normalization >     timestamp with time zone
2022-07-13 00:43:30 normalization > )
2022-07-13 00:43:30 normalization >     
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization >             ) order by (_AIRBYTE_EMITTED_AT)
2022-07-13 00:43:30 normalization >       );
2022-07-13 00:43:30 normalization > 00:36:39.023976 [debug] [Thread-1  ]: SQL status: SUCCESS 1 in 1.08 seconds
2022-07-13 00:43:30 normalization > 00:36:39.029883 [debug] [Thread-1  ]: Using snowflake connection "model.airbyte_utils.MT_SPEED_SNOOZEVESSEL"
2022-07-13 00:43:30 normalization > 00:36:39.030216 [debug] [Thread-1  ]: On model.airbyte_utils.MT_SPEED_SNOOZEVESSEL: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.MT_SPEED_SNOOZEVESSEL"} */
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization >     describe table "DEV_LANDING".MT."SPEED_SNOOZEVESSEL__dbt_tmp"
2022-07-13 00:43:30 normalization > 00:36:39.119547 [debug] [Thread-1  ]: SQL status: SUCCESS 16 in 0.09 seconds
2022-07-13 00:43:30 normalization > 00:36:39.127267 [debug] [Thread-1  ]: Using snowflake connection "model.airbyte_utils.MT_SPEED_SNOOZEVESSEL"
2022-07-13 00:43:30 normalization > 00:36:39.127674 [debug] [Thread-1  ]: On model.airbyte_utils.MT_SPEED_SNOOZEVESSEL: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.MT_SPEED_SNOOZEVESSEL"} */
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization >     describe table "DEV_LANDING".MT."SPEED_SNOOZEVESSEL"
2022-07-13 00:43:30 normalization > 00:36:39.187941 [debug] [Thread-1  ]: SQL status: SUCCESS 16 in 0.06 seconds
2022-07-13 00:43:30 normalization > 00:36:39.195998 [debug] [Thread-1  ]: Using snowflake connection "model.airbyte_utils.MT_SPEED_SNOOZEVESSEL"
2022-07-13 00:43:30 normalization > 00:36:39.196398 [debug] [Thread-1  ]: On model.airbyte_utils.MT_SPEED_SNOOZEVESSEL: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.MT_SPEED_SNOOZEVESSEL"} */
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization >     describe table "DEV_LANDING".MT."SPEED_SNOOZEVESSEL__dbt_tmp"
2022-07-13 00:43:30 normalization > 00:36:39.253604 [debug] [Thread-1  ]: SQL status: SUCCESS 16 in 0.06 seconds
2022-07-13 00:43:30 normalization > 00:36:39.261914 [debug] [Thread-1  ]: Using snowflake connection "model.airbyte_utils.MT_SPEED_SNOOZEVESSEL"
2022-07-13 00:43:30 normalization > 00:36:39.262335 [debug] [Thread-1  ]: On model.airbyte_utils.MT_SPEED_SNOOZEVESSEL: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.MT_SPEED_SNOOZEVESSEL"} */
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization >     describe table "DEV_LANDING"."MT"."SPEED_SNOOZEVESSEL"
2022-07-13 00:43:30 normalization > 00:36:39.302028 [debug] [Thread-1  ]: SQL status: SUCCESS 16 in 0.04 seconds
2022-07-13 00:43:30 normalization > 00:36:39.310191 [debug] [Thread-1  ]: 
2022-07-13 00:43:30 normalization >     In "DEV_LANDING"."MT"."SPEED_SNOOZEVESSEL":
2022-07-13 00:43:30 normalization >         Schema changed: False
2022-07-13 00:43:30 normalization >         Source columns not in target: []
2022-07-13 00:43:30 normalization >         Target columns not in source: []
2022-07-13 00:43:30 normalization >         New column types: []
2022-07-13 00:43:30 normalization >   
2022-07-13 00:43:30 normalization > 00:36:39.313477 [debug] [Thread-1  ]: Writing runtime SQL for node "model.airbyte_utils.MT_SPEED_SNOOZEVESSEL"
2022-07-13 00:43:30 normalization > 00:36:39.316122 [debug] [Thread-1  ]: Using snowflake connection "model.airbyte_utils.MT_SPEED_SNOOZEVESSEL"
2022-07-13 00:43:30 normalization > 00:36:39.316405 [debug] [Thread-1  ]: On model.airbyte_utils.MT_SPEED_SNOOZEVESSEL: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.MT_SPEED_SNOOZEVESSEL"} */
2022-07-13 00:43:30 normalization > begin;
2022-07-13 00:43:30 normalization > 00:36:39.419891 [debug] [Thread-1  ]: SQL status: SUCCESS 1 in 0.1 seconds
2022-07-13 00:43:30 normalization > 00:36:39.420388 [debug] [Thread-1  ]: Using snowflake connection "model.airbyte_utils.MT_SPEED_SNOOZEVESSEL"
2022-07-13 00:43:30 normalization > 00:36:39.420657 [debug] [Thread-1  ]: On model.airbyte_utils.MT_SPEED_SNOOZEVESSEL: merge into "DEV_LANDING".MT."SPEED_SNOOZEVESSEL" as DBT_INTERNAL_DEST
2022-07-13 00:43:30 normalization >         using "DEV_LANDING".MT."SPEED_SNOOZEVESSEL__dbt_tmp" as DBT_INTERNAL_SOURCE
2022-07-13 00:43:30 normalization >         on 
2022-07-13 00:43:30 normalization >             DBT_INTERNAL_SOURCE._AIRBYTE_AB_ID = DBT_INTERNAL_DEST._AIRBYTE_AB_ID
2022-07-13 00:43:30 normalization >         
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization >     
2022-07-13 00:43:30 normalization >     when matched then update set
2022-07-13 00:43:30 normalization >         "ID" = DBT_INTERNAL_SOURCE."ID","REASON" = DBT_INTERNAL_SOURCE."REASON","END_DATE" = DBT_INTERNAL_SOURCE."END_DATE","VESSEL_ID" = DBT_INTERNAL_SOURCE."VESSEL_ID","CREATED_AT" = DBT_INTERNAL_SOURCE."CREATED_AT","START_DATE" = DBT_INTERNAL_SOURCE."START_DATE","UPDATED_AT" = DBT_INTERNAL_SOURCE."UPDATED_AT","SNOOZE_USER_ID" = DBT_INTERNAL_SOURCE."SNOOZE_USER_ID","UNSNOOZE_USER_ID" = DBT_INTERNAL_SOURCE."UNSNOOZE_USER_ID","SNOOZE_END_PORT_ID" = DBT_INTERNAL_SOURCE."SNOOZE_END_PORT_ID","SNOOZE_END_LATITUDE" = DBT_INTERNAL_SOURCE."SNOOZE_END_LATITUDE","SNOOZE_END_LONGITUDE" = DBT_INTERNAL_SOURCE."SNOOZE_END_LONGITUDE","_AIRBYTE_AB_ID" = DBT_INTERNAL_SOURCE."_AIRBYTE_AB_ID","_AIRBYTE_EMITTED_AT" = DBT_INTERNAL_SOURCE."_AIRBYTE_EMITTED_AT","_AIRBYTE_NORMALIZED_AT" = DBT_INTERNAL_SOURCE."_AIRBYTE_NORMALIZED_AT","_AIRBYTE_SPEED_SNOOZEVESSEL_HASHID" = DBT_INTERNAL_SOURCE."_AIRBYTE_SPEED_SNOOZEVESSEL_HASHID"
2022-07-13 00:43:30 normalization >     
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization >     when not matched then insert
2022-07-13 00:43:30 normalization >         ("ID", "REASON", "END_DATE", "VESSEL_ID", "CREATED_AT", "START_DATE", "UPDATED_AT", "SNOOZE_USER_ID", "UNSNOOZE_USER_ID", "SNOOZE_END_PORT_ID", "SNOOZE_END_LATITUDE", "SNOOZE_END_LONGITUDE", "_AIRBYTE_AB_ID", "_AIRBYTE_EMITTED_AT", "_AIRBYTE_NORMALIZED_AT", "_AIRBYTE_SPEED_SNOOZEVESSEL_HASHID")
2022-07-13 00:43:30 normalization >     values
2022-07-13 00:43:30 normalization >         ("ID", "REASON", "END_DATE", "VESSEL_ID", "CREATED_AT", "START_DATE", "UPDATED_AT", "SNOOZE_USER_ID", "UNSNOOZE_USER_ID", "SNOOZE_END_PORT_ID", "SNOOZE_END_LATITUDE", "SNOOZE_END_LONGITUDE", "_AIRBYTE_AB_ID", "_AIRBYTE_EMITTED_AT", "_AIRBYTE_NORMALIZED_AT", "_AIRBYTE_SPEED_SNOOZEVESSEL_HASHID")
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization > ;
2022-07-13 00:43:30 normalization > 00:36:40.805329 [debug] [Thread-1  ]: SQL status: SUCCESS 138 in 1.38 seconds
2022-07-13 00:43:30 normalization > 00:36:40.805780 [debug] [Thread-1  ]: Using snowflake connection "model.airbyte_utils.MT_SPEED_SNOOZEVESSEL"
2022-07-13 00:43:30 normalization > 00:36:40.806051 [debug] [Thread-1  ]: On model.airbyte_utils.MT_SPEED_SNOOZEVESSEL: commit;
2022-07-13 00:43:30 normalization > 00:36:41.052102 [debug] [Thread-1  ]: SQL status: SUCCESS 1 in 0.25 seconds
2022-07-13 00:43:30 normalization > 00:36:41.111762 [debug] [Thread-1  ]: finished collecting timing info
2022-07-13 00:43:30 normalization > 00:36:41.112268 [debug] [Thread-1  ]: On model.airbyte_utils.MT_SPEED_SNOOZEVESSEL: Close
2022-07-13 00:43:30 normalization > 00:36:41.204795 [info ] [Thread-1  ]: 24 of 60 OK created incremental model MT.SPEED_SNOOZEVESSEL............................................................. [SUCCESS 1 in 5.37s]
2022-07-13 00:43:30 normalization > 00:36:41.205559 [debug] [Thread-1  ]: Finished running node model.airbyte_utils.MT_SPEED_SNOOZEVESSEL
2022-07-13 00:43:30 normalization > 00:36:41.206004 [debug] [Thread-1  ]: Began running node model.airbyte_utils.MT_SPEED_SPEEDNOTIFICATION
2022-07-13 00:43:30 normalization > 00:36:41.206932 [info ] [Thread-1  ]: 25 of 60 START incremental model MT.SPEED_SPEEDNOTIFICATION............................................................. [RUN]
2022-07-13 00:43:30 normalization > 00:36:41.208050 [debug] [Thread-1  ]: Acquiring new snowflake connection "model.airbyte_utils.MT_SPEED_SPEEDNOTIFICATION"
2022-07-13 00:43:30 normalization > 00:36:41.208330 [debug] [Thread-1  ]: Began compiling node model.airbyte_utils.MT_SPEED_SPEEDNOTIFICATION
2022-07-13 00:43:30 normalization > 00:36:41.208605 [debug] [Thread-1  ]: Compiling model.airbyte_utils.MT_SPEED_SPEEDNOTIFICATION
2022-07-13 00:43:30 normalization > 00:36:41.288484 [debug] [Thread-1  ]: Using snowflake connection "model.airbyte_utils.MT_SPEED_SPEEDNOTIFICATION"
2022-07-13 00:43:30 normalization > 00:36:41.288875 [debug] [Thread-1  ]: On model.airbyte_utils.MT_SPEED_SPEEDNOTIFICATION: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.MT_SPEED_SPEEDNOTIFICATION"} */
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization >     describe table "DEV_LANDING".MT."SPEED_SPEEDNOTIFICATION"
2022-07-13 00:43:30 normalization > 00:36:41.289136 [debug] [Thread-1  ]: Opening a new connection, currently in state closed
2022-07-13 00:43:30 normalization > 00:36:42.036054 [debug] [Thread-1  ]: SQL status: SUCCESS 20 in 0.75 seconds
2022-07-13 00:43:30 normalization > 00:36:42.126160 [debug] [Thread-1  ]: Using snowflake connection "model.airbyte_utils.MT_SPEED_SPEEDNOTIFICATION"
2022-07-13 00:43:30 normalization > 00:36:42.126584 [debug] [Thread-1  ]: On model.airbyte_utils.MT_SPEED_SPEEDNOTIFICATION: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.MT_SPEED_SPEEDNOTIFICATION"} */
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization >     describe table "DEV_LANDING".MT."SPEED_SPEEDNOTIFICATION"
2022-07-13 00:43:30 normalization > 00:36:42.182146 [debug] [Thread-1  ]: SQL status: SUCCESS 20 in 0.06 seconds
2022-07-13 00:43:30 normalization > 00:36:42.188258 [debug] [Thread-1  ]: Using snowflake connection "model.airbyte_utils.MT_SPEED_SPEEDNOTIFICATION"
2022-07-13 00:43:30 normalization > 00:36:42.188628 [debug] [Thread-1  ]: On model.airbyte_utils.MT_SPEED_SPEEDNOTIFICATION: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.MT_SPEED_SPEEDNOTIFICATION"} */
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization >     
2022-07-13 00:43:30 normalization >         select max(cast(_AIRBYTE_EMITTED_AT as 
2022-07-13 00:43:30 normalization >     timestamp with time zone
2022-07-13 00:43:30 normalization > )) from "DEV_LANDING".MT."SPEED_SPEEDNOTIFICATION"
2022-07-13 00:43:30 normalization > 00:36:42.628083 [debug] [Thread-1  ]: SQL status: SUCCESS 1 in 0.44 seconds
2022-07-13 00:43:30 normalization > 00:36:42.698585 [debug] [Thread-1  ]: Using snowflake connection "model.airbyte_utils.MT_SPEED_SPEEDNOTIFICATION"
2022-07-13 00:43:30 normalization > 00:36:42.699059 [debug] [Thread-1  ]: On model.airbyte_utils.MT_SPEED_SPEEDNOTIFICATION: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.MT_SPEED_SPEEDNOTIFICATION"} */
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization >     describe table "DEV_LANDING".MT."SPEED_SPEEDNOTIFICATION"
2022-07-13 00:43:30 normalization > 00:36:42.736191 [debug] [Thread-1  ]: SQL status: SUCCESS 20 in 0.04 seconds
2022-07-13 00:43:30 normalization > 00:36:42.741643 [debug] [Thread-1  ]: Using snowflake connection "model.airbyte_utils.MT_SPEED_SPEEDNOTIFICATION"
2022-07-13 00:43:30 normalization > 00:36:42.741983 [debug] [Thread-1  ]: On model.airbyte_utils.MT_SPEED_SPEEDNOTIFICATION: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.MT_SPEED_SPEEDNOTIFICATION"} */
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization >     
2022-07-13 00:43:30 normalization >         select max(cast(_AIRBYTE_EMITTED_AT as 
2022-07-13 00:43:30 normalization >     timestamp with time zone
2022-07-13 00:43:30 normalization > )) from "DEV_LANDING".MT."SPEED_SPEEDNOTIFICATION"
2022-07-13 00:43:30 normalization > 00:36:42.801119 [debug] [Thread-1  ]: SQL status: SUCCESS 1 in 0.06 seconds
2022-07-13 00:43:30 normalization > 00:36:42.819177 [debug] [Thread-1  ]: Writing injected SQL for node "model.airbyte_utils.MT_SPEED_SPEEDNOTIFICATION"
2022-07-13 00:43:30 normalization > 00:36:42.819818 [debug] [Thread-1  ]: finished collecting timing info
2022-07-13 00:43:30 normalization > 00:36:42.820110 [debug] [Thread-1  ]: Began executing node model.airbyte_utils.MT_SPEED_SPEEDNOTIFICATION
2022-07-13 00:43:30 normalization > 00:36:42.828482 [debug] [Thread-1  ]: Using snowflake connection "model.airbyte_utils.MT_SPEED_SPEEDNOTIFICATION"
2022-07-13 00:43:30 normalization > 00:36:42.828912 [debug] [Thread-1  ]: On model.airbyte_utils.MT_SPEED_SPEEDNOTIFICATION: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.MT_SPEED_SPEEDNOTIFICATION"} */
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization >     describe table "DEV_LANDING".MT."SPEED_SPEEDNOTIFICATION"
2022-07-13 00:43:30 normalization > 00:36:42.886068 [debug] [Thread-1  ]: SQL status: SUCCESS 20 in 0.06 seconds
2022-07-13 00:43:30 normalization > 00:36:42.965820 [debug] [Thread-1  ]: Using snowflake connection "model.airbyte_utils.MT_SPEED_SPEEDNOTIFICATION"
2022-07-13 00:43:30 normalization > 00:36:42.966225 [debug] [Thread-1  ]: On model.airbyte_utils.MT_SPEED_SPEEDNOTIFICATION: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.MT_SPEED_SPEEDNOTIFICATION"} */
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization >     
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization >       create or replace temporary table "DEV_LANDING".MT."SPEED_SPEEDNOTIFICATION__dbt_tmp"  as
2022-07-13 00:43:30 normalization >       (select * from(
2022-07-13 00:43:30 normalization >             
2022-07-13 00:43:30 normalization > with __dbt__cte___AIRBYTE_MT_SPEED_SPEEDNOTIFICATION_AB1 as (
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema
2022-07-13 00:43:30 normalization > -- depends_on: "DEV_LANDING".MT._AIRBYTE_RAW_SPEED_SPEEDNOTIFICATION
2022-07-13 00:43:30 normalization > select
2022-07-13 00:43:30 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"id"')) as ID,
2022-07-13 00:43:30 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"date"')) as DATE,
2022-07-13 00:43:30 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"vessel_id"')) as VESSEL_ID,
2022-07-13 00:43:30 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"created_at"')) as CREATED_AT,
2022-07-13 00:43:30 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"updated_at"')) as UPDATED_AT,
2022-07-13 00:43:30 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"action_date"')) as ACTION_DATE,
2022-07-13 00:43:30 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"action_type"')) as ACTION_TYPE,
2022-07-13 00:43:30 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"voyage_leg_id"')) as VOYAGE_LEG_ID,
2022-07-13 00:43:30 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"action_user_id"')) as ACTION_USER_ID,
2022-07-13 00:43:30 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"dismissed_reason"')) as DISMISSED_REASON,
2022-07-13 00:43:30 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"dismissed_comment"')) as DISMISSED_COMMENT,
2022-07-13 00:43:30 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"notification_data"')) as NOTIFICATION_DATA,
2022-07-13 00:43:30 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"notification_type"')) as NOTIFICATION_TYPE,
2022-07-13 00:43:30 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"notification_status"')) as NOTIFICATION_STATUS,
2022-07-13 00:43:30 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"notification_status_date"')) as NOTIFICATION_STATUS_DATE,
2022-07-13 00:43:30 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"notification_status_user_id"')) as NOTIFICATION_STATUS_USER_ID,
2022-07-13 00:43:30 normalization >     _AIRBYTE_AB_ID,
2022-07-13 00:43:30 normalization >     _AIRBYTE_EMITTED_AT,
2022-07-13 00:43:30 normalization >     convert_timezone('UTC', current_timestamp()) as _AIRBYTE_NORMALIZED_AT
2022-07-13 00:43:30 normalization > from "DEV_LANDING".MT._AIRBYTE_RAW_SPEED_SPEEDNOTIFICATION as table_alias
2022-07-13 00:43:30 normalization > -- SPEED_SPEEDNOTIFICATION
2022-07-13 00:43:30 normalization > where 1 = 1
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization > ),  __dbt__cte___AIRBYTE_MT_SPEED_SPEEDNOTIFICATION_AB2 as (
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type
2022-07-13 00:43:30 normalization > -- depends_on: __dbt__cte___AIRBYTE_MT_SPEED_SPEEDNOTIFICATION_AB1
2022-07-13 00:43:30 normalization > select
2022-07-13 00:43:30 normalization >     cast(ID as 
2022-07-13 00:43:30 normalization >     float
2022-07-13 00:43:30 normalization > ) as ID,
2022-07-13 00:43:30 normalization >     case
2022-07-13 00:43:30 normalization >         when DATE regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}(\\+|-)\\d{4}' then to_timestamp_tz(DATE, 'YYYY-MM-DDTHH24:MI:SSTZHTZM')
2022-07-13 00:43:30 normalization >         when DATE regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}(\\+|-)\\d{2}' then to_timestamp_tz(DATE, 'YYYY-MM-DDTHH24:MI:SSTZH')
2022-07-13 00:43:30 normalization >         when DATE regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}\\.\\d{1,7}(\\+|-)\\d{4}' then to_timestamp_tz(DATE, 'YYYY-MM-DDTHH24:MI:SS.FFTZHTZM')
2022-07-13 00:43:30 normalization >         when DATE regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}\\.\\d{1,7}(\\+|-)\\d{2}' then to_timestamp_tz(DATE, 'YYYY-MM-DDTHH24:MI:SS.FFTZH')
2022-07-13 00:43:30 normalization >         when DATE = '' then NULL
2022-07-13 00:43:30 normalization >     else to_timestamp_tz(DATE)
2022-07-13 00:43:30 normalization >     end as DATE
2022-07-13 00:43:30 normalization >     ,
2022-07-13 00:43:30 normalization >     cast(VESSEL_ID as 
2022-07-13 00:43:30 normalization >     float
2022-07-13 00:43:30 normalization > ) as VESSEL_ID,
2022-07-13 00:43:30 normalization >     case
2022-07-13 00:43:30 normalization >         when CREATED_AT regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}(\\+|-)\\d{4}' then to_timestamp_tz(CREATED_AT, 'YYYY-MM-DDTHH24:MI:SSTZHTZM')
2022-07-13 00:43:30 normalization >         when CREATED_AT regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}(\\+|-)\\d{2}' then to_timestamp_tz(CREATED_AT, 'YYYY-MM-DDTHH24:MI:SSTZH')
2022-07-13 00:43:30 normalization >         when CREATED_AT regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}\\.\\d{1,7}(\\+|-)\\d{4}' then to_timestamp_tz(CREATED_AT, 'YYYY-MM-DDTHH24:MI:SS.FFTZHTZM')
2022-07-13 00:43:30 normalization >         when CREATED_AT regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}\\.\\d{1,7}(\\+|-)\\d{2}' then to_timestamp_tz(CREATED_AT, 'YYYY-MM-DDTHH24:MI:SS.FFTZH')
2022-07-13 00:43:30 normalization >         when CREATED_AT = '' then NULL
2022-07-13 00:43:30 normalization >     else to_timestamp_tz(CREATED_AT)
2022-07-13 00:43:30 normalization >     end as CREATED_AT
2022-07-13 00:43:30 normalization >     ,
2022-07-13 00:43:30 normalization >     case
2022-07-13 00:43:30 normalization >         when UPDATED_AT regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}(\\+|-)\\d{4}' then to_timestamp_tz(UPDATED_AT, 'YYYY-MM-DDTHH24:MI:SSTZHTZM')
2022-07-13 00:43:30 normalization >         when UPDATED_AT regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}(\\+|-)\\d{2}' then to_timestamp_tz(UPDATED_AT, 'YYYY-MM-DDTHH24:MI:SSTZH')
2022-07-13 00:43:30 normalization >         when UPDATED_AT regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}\\.\\d{1,7}(\\+|-)\\d{4}' then to_timestamp_tz(UPDATED_AT, 'YYYY-MM-DDTHH24:MI:SS.FFTZHTZM')
2022-07-13 00:43:30 normalization >         when UPDATED_AT regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}\\.\\d{1,7}(\\+|-)\\d{2}' then to_timestamp_tz(UPDATED_AT, 'YYYY-MM-DDTHH24:MI:SS.FFTZH')
2022-07-13 00:43:30 normalization >         when UPDATED_AT = '' then NULL
2022-07-13 00:43:30 normalization >     else to_timestamp_tz(UPDATED_AT)
2022-07-13 00:43:30 normalization >     end as UPDATED_AT
2022-07-13 00:43:30 normalization >     ,
2022-07-13 00:43:30 normalization >     case
2022-07-13 00:43:30 normalization >         when ACTION_DATE regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}(\\+|-)\\d{4}' then to_timestamp_tz(ACTION_DATE, 'YYYY-MM-DDTHH24:MI:SSTZHTZM')
2022-07-13 00:43:30 normalization >         when ACTION_DATE regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}(\\+|-)\\d{2}' then to_timestamp_tz(ACTION_DATE, 'YYYY-MM-DDTHH24:MI:SSTZH')
2022-07-13 00:43:30 normalization >         when ACTION_DATE regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}\\.\\d{1,7}(\\+|-)\\d{4}' then to_timestamp_tz(ACTION_DATE, 'YYYY-MM-DDTHH24:MI:SS.FFTZHTZM')
2022-07-13 00:43:30 normalization >         when ACTION_DATE regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}\\.\\d{1,7}(\\+|-)\\d{2}' then to_timestamp_tz(ACTION_DATE, 'YYYY-MM-DDTHH24:MI:SS.FFTZH')
2022-07-13 00:43:30 normalization >         when ACTION_DATE = '' then NULL
2022-07-13 00:43:30 normalization >     else to_timestamp_tz(ACTION_DATE)
2022-07-13 00:43:30 normalization >     end as ACTION_DATE
2022-07-13 00:43:30 normalization >     ,
2022-07-13 00:43:30 normalization >     cast(ACTION_TYPE as 
2022-07-13 00:43:30 normalization >     varchar
2022-07-13 00:43:30 normalization > ) as ACTION_TYPE,
2022-07-13 00:43:30 normalization >     cast(VOYAGE_LEG_ID as 
2022-07-13 00:43:30 normalization >     float
2022-07-13 00:43:30 normalization > ) as VOYAGE_LEG_ID,
2022-07-13 00:43:30 normalization >     cast(ACTION_USER_ID as 
2022-07-13 00:43:30 normalization >     float
2022-07-13 00:43:30 normalization > ) as ACTION_USER_ID,
2022-07-13 00:43:30 normalization >     cast(DISMISSED_REASON as 
2022-07-13 00:43:30 normalization >     varchar
2022-07-13 00:43:30 normalization > ) as DISMISSED_REASON,
2022-07-13 00:43:30 normalization >     cast(DISMISSED_COMMENT as 
2022-07-13 00:43:30 normalization >     varchar
2022-07-13 00:43:30 normalization > ) as DISMISSED_COMMENT,
2022-07-13 00:43:30 normalization >     cast(NOTIFICATION_DATA as 
2022-07-13 00:43:30 normalization >     varchar
2022-07-13 00:43:30 normalization > ) as NOTIFICATION_DATA,
2022-07-13 00:43:30 normalization >     cast(NOTIFICATION_TYPE as 
2022-07-13 00:43:30 normalization >     varchar
2022-07-13 00:43:30 normalization > ) as NOTIFICATION_TYPE,
2022-07-13 00:43:30 normalization >     cast(NOTIFICATION_STATUS as 
2022-07-13 00:43:30 normalization >     varchar
2022-07-13 00:43:30 normalization > ) as NOTIFICATION_STATUS,
2022-07-13 00:43:30 normalization >     case
2022-07-13 00:43:30 normalization >         when NOTIFICATION_STATUS_DATE regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}(\\+|-)\\d{4}' then to_timestamp_tz(NOTIFICATION_STATUS_DATE, 'YYYY-MM-DDTHH24:MI:SSTZHTZM')
2022-07-13 00:43:30 normalization >         when NOTIFICATION_STATUS_DATE regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}(\\+|-)\\d{2}' then to_timestamp_tz(NOTIFICATION_STATUS_DATE, 'YYYY-MM-DDTHH24:MI:SSTZH')
2022-07-13 00:43:30 normalization >         when NOTIFICATION_STATUS_DATE regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}\\.\\d{1,7}(\\+|-)\\d{4}' then to_timestamp_tz(NOTIFICATION_STATUS_DATE, 'YYYY-MM-DDTHH24:MI:SS.FFTZHTZM')
2022-07-13 00:43:30 normalization >         when NOTIFICATION_STATUS_DATE regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}\\.\\d{1,7}(\\+|-)\\d{2}' then to_timestamp_tz(NOTIFICATION_STATUS_DATE, 'YYYY-MM-DDTHH24:MI:SS.FFTZH')
2022-07-13 00:43:30 normalization >         when NOTIFICATION_STATUS_DATE = '' then NULL
2022-07-13 00:43:30 normalization >     else to_timestamp_tz(NOTIFICATION_STATUS_DATE)
2022-07-13 00:43:30 normalization >     end as NOTIFICATION_STATUS_DATE
2022-07-13 00:43:30 normalization >     ,
2022-07-13 00:43:30 normalization >     cast(NOTIFICATION_STATUS_USER_ID as 
2022-07-13 00:43:30 normalization >     float
2022-07-13 00:43:30 normalization > ) as NOTIFICATION_STATUS_USER_ID,
2022-07-13 00:43:30 normalization >     _AIRBYTE_AB_ID,
2022-07-13 00:43:30 normalization >     _AIRBYTE_EMITTED_AT,
2022-07-13 00:43:30 normalization >     convert_timezone('UTC', current_timestamp()) as _AIRBYTE_NORMALIZED_AT
2022-07-13 00:43:30 normalization > from __dbt__cte___AIRBYTE_MT_SPEED_SPEEDNOTIFICATION_AB1
2022-07-13 00:43:30 normalization > -- SPEED_SPEEDNOTIFICATION
2022-07-13 00:43:30 normalization > where 1 = 1
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization > ),  __dbt__cte___AIRBYTE_MT_SPEED_SPEEDNOTIFICATION_AB3 as (
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization > -- SQL model to build a hash column based on the values of this record
2022-07-13 00:43:30 normalization > -- depends_on: __dbt__cte___AIRBYTE_MT_SPEED_SPEEDNOTIFICATION_AB2
2022-07-13 00:43:30 normalization > select
2022-07-13 00:43:30 normalization >     md5(cast(coalesce(cast(ID as 
2022-07-13 00:43:30 normalization >     varchar
2022-07-13 00:43:30 normalization > ), '') || '-' || coalesce(cast(DATE as 
2022-07-13 00:43:30 normalization >     varchar
2022-07-13 00:43:30 normalization > ), '') || '-' || coalesce(cast(VESSEL_ID as 
2022-07-13 00:43:30 normalization >     varchar
2022-07-13 00:43:30 normalization > ), '') || '-' || coalesce(cast(CREATED_AT as 
2022-07-13 00:43:30 normalization >     varchar
2022-07-13 00:43:30 normalization > ), '') || '-' || coalesce(cast(UPDATED_AT as 
2022-07-13 00:43:30 normalization >     varchar
2022-07-13 00:43:30 normalization > ), '') || '-' || coalesce(cast(ACTION_DATE as 
2022-07-13 00:43:30 normalization >     varchar
2022-07-13 00:43:30 normalization > ), '') || '-' || coalesce(cast(ACTION_TYPE as 
2022-07-13 00:43:30 normalization >     varchar
2022-07-13 00:43:30 normalization > ), '') || '-' || coalesce(cast(VOYAGE_LEG_ID as 
2022-07-13 00:43:30 normalization >     varchar
2022-07-13 00:43:30 normalization > ), '') || '-' || coalesce(cast(ACTION_USER_ID as 
2022-07-13 00:43:30 normalization >     varchar
2022-07-13 00:43:30 normalization > ), '') || '-' || coalesce(cast(DISMISSED_REASON as 
2022-07-13 00:43:30 normalization >     varchar
2022-07-13 00:43:30 normalization > ), '') || '-' || coalesce(cast(DISMISSED_COMMENT as 
2022-07-13 00:43:30 normalization >     varchar
2022-07-13 00:43:30 normalization > ), '') || '-' || coalesce(cast(NOTIFICATION_DATA as 
2022-07-13 00:43:30 normalization >     varchar
2022-07-13 00:43:30 normalization > ), '') || '-' || coalesce(cast(NOTIFICATION_TYPE as 
2022-07-13 00:43:30 normalization >     varchar
2022-07-13 00:43:30 normalization > ), '') || '-' || coalesce(cast(NOTIFICATION_STATUS as 
2022-07-13 00:43:30 normalization >     varchar
2022-07-13 00:43:30 normalization > ), '') || '-' || coalesce(cast(NOTIFICATION_STATUS_DATE as 
2022-07-13 00:43:30 normalization >     varchar
2022-07-13 00:43:30 normalization > ), '') || '-' || coalesce(cast(NOTIFICATION_STATUS_USER_ID as 
2022-07-13 00:43:30 normalization >     varchar
2022-07-13 00:43:30 normalization > ), '') as 
2022-07-13 00:43:30 normalization >     varchar
2022-07-13 00:43:30 normalization > )) as _AIRBYTE_SPEED_SPEEDNOTIFICATION_HASHID,
2022-07-13 00:43:30 normalization >     tmp.*
2022-07-13 00:43:30 normalization > from __dbt__cte___AIRBYTE_MT_SPEED_SPEEDNOTIFICATION_AB2 tmp
2022-07-13 00:43:30 normalization > -- SPEED_SPEEDNOTIFICATION
2022-07-13 00:43:30 normalization > where 1 = 1
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization > )-- Final base SQL model
2022-07-13 00:43:30 normalization > -- depends_on: __dbt__cte___AIRBYTE_MT_SPEED_SPEEDNOTIFICATION_AB3
2022-07-13 00:43:30 normalization > select
2022-07-13 00:43:30 normalization >     ID,
2022-07-13 00:43:30 normalization >     DATE,
2022-07-13 00:43:30 normalization >     VESSEL_ID,
2022-07-13 00:43:30 normalization >     CREATED_AT,
2022-07-13 00:43:30 normalization >     UPDATED_AT,
2022-07-13 00:43:30 normalization >     ACTION_DATE,
2022-07-13 00:43:30 normalization >     ACTION_TYPE,
2022-07-13 00:43:30 normalization >     VOYAGE_LEG_ID,
2022-07-13 00:43:30 normalization >     ACTION_USER_ID,
2022-07-13 00:43:30 normalization >     DISMISSED_REASON,
2022-07-13 00:43:30 normalization >     DISMISSED_COMMENT,
2022-07-13 00:43:30 normalization >     NOTIFICATION_DATA,
2022-07-13 00:43:30 normalization >     NOTIFICATION_TYPE,
2022-07-13 00:43:30 normalization >     NOTIFICATION_STATUS,
2022-07-13 00:43:30 normalization >     NOTIFICATION_STATUS_DATE,
2022-07-13 00:43:30 normalization >     NOTIFICATION_STATUS_USER_ID,
2022-07-13 00:43:30 normalization >     _AIRBYTE_AB_ID,
2022-07-13 00:43:30 normalization >     _AIRBYTE_EMITTED_AT,
2022-07-13 00:43:30 normalization >     convert_timezone('UTC', current_timestamp()) as _AIRBYTE_NORMALIZED_AT,
2022-07-13 00:43:30 normalization >     _AIRBYTE_SPEED_SPEEDNOTIFICATION_HASHID
2022-07-13 00:43:30 normalization > from __dbt__cte___AIRBYTE_MT_SPEED_SPEEDNOTIFICATION_AB3
2022-07-13 00:43:30 normalization > -- SPEED_SPEEDNOTIFICATION from "DEV_LANDING".MT._AIRBYTE_RAW_SPEED_SPEEDNOTIFICATION
2022-07-13 00:43:30 normalization > where 1 = 1
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization >     
2022-07-13 00:43:30 normalization > and cast(_AIRBYTE_EMITTED_AT as 
2022-07-13 00:43:30 normalization >     timestamp with time zone
2022-07-13 00:43:30 normalization > ) >=
2022-07-13 00:43:30 normalization >     cast('2022-07-12 17:47:22.629000-07:00' as 
2022-07-13 00:43:30 normalization >     timestamp with time zone
2022-07-13 00:43:30 normalization > )
2022-07-13 00:43:30 normalization >     
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization >             ) order by (_AIRBYTE_EMITTED_AT)
2022-07-13 00:43:30 normalization >       );
2022-07-13 00:43:30 normalization > 00:36:43.113923 [debug] [Thread-3  ]: SQL status: SUCCESS 1301614 in 20.97 seconds
2022-07-13 00:43:30 normalization > 00:36:43.114350 [debug] [Thread-3  ]: Using snowflake connection "model.airbyte_utils.CARGILL_SPEED_SPEEDPLAN"
2022-07-13 00:43:30 normalization > 00:36:43.114760 [debug] [Thread-3  ]: On model.airbyte_utils.CARGILL_SPEED_SPEEDPLAN: commit;
2022-07-13 00:43:30 normalization > 00:36:43.346373 [debug] [Thread-3  ]: SQL status: SUCCESS 1 in 0.23 seconds
2022-07-13 00:43:30 normalization > 00:36:43.500680 [debug] [Thread-3  ]: finished collecting timing info
2022-07-13 00:43:30 normalization > 00:36:43.501210 [debug] [Thread-3  ]: On model.airbyte_utils.CARGILL_SPEED_SPEEDPLAN: Close
2022-07-13 00:43:30 normalization > 00:36:43.575766 [info ] [Thread-3  ]: 19 of 60 OK created incremental model CARGILL.SPEED_SPEEDPLAN........................................................... [SUCCESS 1 in 47.17s]
2022-07-13 00:43:30 normalization > 00:36:43.576655 [debug] [Thread-3  ]: Finished running node model.airbyte_utils.CARGILL_SPEED_SPEEDPLAN
2022-07-13 00:43:30 normalization > 00:36:43.577132 [debug] [Thread-3  ]: Began running node model.airbyte_utils.MT_SPEED_SCHEDULEDOPTIMIZATIONRESULT
2022-07-13 00:43:30 normalization > 00:36:43.577680 [info ] [Thread-3  ]: 26 of 60 START incremental model MT.SPEED_SCHEDULEDOPTIMIZATIONRESULT................................................... [RUN]
2022-07-13 00:43:30 normalization > 00:36:43.579104 [debug] [Thread-3  ]: Acquiring new snowflake connection "model.airbyte_utils.MT_SPEED_SCHEDULEDOPTIMIZATIONRESULT"
2022-07-13 00:43:30 normalization > 00:36:43.579530 [debug] [Thread-3  ]: Began compiling node model.airbyte_utils.MT_SPEED_SCHEDULEDOPTIMIZATIONRESULT
2022-07-13 00:43:30 normalization > 00:36:43.579968 [debug] [Thread-3  ]: Compiling model.airbyte_utils.MT_SPEED_SCHEDULEDOPTIMIZATIONRESULT
2022-07-13 00:43:30 normalization > 00:36:43.682467 [debug] [Thread-3  ]: Using snowflake connection "model.airbyte_utils.MT_SPEED_SCHEDULEDOPTIMIZATIONRESULT"
2022-07-13 00:43:30 normalization > 00:36:43.682967 [debug] [Thread-3  ]: On model.airbyte_utils.MT_SPEED_SCHEDULEDOPTIMIZATIONRESULT: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.MT_SPEED_SCHEDULEDOPTIMIZATIONRESULT"} */
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization >     describe table "DEV_LANDING".MT."SPEED_SCHEDULEDOPTIMIZATIONRESULT"
2022-07-13 00:43:30 normalization > 00:36:43.683323 [debug] [Thread-3  ]: Opening a new connection, currently in state closed
2022-07-13 00:43:30 normalization > 00:36:44.227344 [debug] [Thread-3  ]: SQL status: SUCCESS 12 in 0.54 seconds
2022-07-13 00:43:30 normalization > 00:36:44.294444 [debug] [Thread-3  ]: Using snowflake connection "model.airbyte_utils.MT_SPEED_SCHEDULEDOPTIMIZATIONRESULT"
2022-07-13 00:43:30 normalization > 00:36:44.294884 [debug] [Thread-3  ]: On model.airbyte_utils.MT_SPEED_SCHEDULEDOPTIMIZATIONRESULT: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.MT_SPEED_SCHEDULEDOPTIMIZATIONRESULT"} */
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization >     describe table "DEV_LANDING".MT."SPEED_SCHEDULEDOPTIMIZATIONRESULT"
2022-07-13 00:43:30 normalization > 00:36:44.411393 [debug] [Thread-3  ]: SQL status: SUCCESS 12 in 0.12 seconds
2022-07-13 00:43:30 normalization > 00:36:44.415848 [debug] [Thread-3  ]: Using snowflake connection "model.airbyte_utils.MT_SPEED_SCHEDULEDOPTIMIZATIONRESULT"
2022-07-13 00:43:30 normalization > 00:36:44.416179 [debug] [Thread-3  ]: On model.airbyte_utils.MT_SPEED_SCHEDULEDOPTIMIZATIONRESULT: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.MT_SPEED_SCHEDULEDOPTIMIZATIONRESULT"} */
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization >     
2022-07-13 00:43:30 normalization >         select max(cast(_AIRBYTE_EMITTED_AT as 
2022-07-13 00:43:30 normalization >     timestamp with time zone
2022-07-13 00:43:30 normalization > )) from "DEV_LANDING".MT."SPEED_SCHEDULEDOPTIMIZATIONRESULT"
2022-07-13 00:43:30 normalization > 00:36:44.865803 [debug] [Thread-3  ]: SQL status: SUCCESS 1 in 0.45 seconds
2022-07-13 00:43:30 normalization > 00:36:44.963588 [debug] [Thread-3  ]: Using snowflake connection "model.airbyte_utils.MT_SPEED_SCHEDULEDOPTIMIZATIONRESULT"
2022-07-13 00:43:30 normalization > 00:36:44.964150 [debug] [Thread-3  ]: On model.airbyte_utils.MT_SPEED_SCHEDULEDOPTIMIZATIONRESULT: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.MT_SPEED_SCHEDULEDOPTIMIZATIONRESULT"} */
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization >     describe table "DEV_LANDING".MT."SPEED_SCHEDULEDOPTIMIZATIONRESULT"
2022-07-13 00:43:30 normalization > 00:36:45.010400 [debug] [Thread-3  ]: SQL status: SUCCESS 12 in 0.05 seconds
2022-07-13 00:43:30 normalization > 00:36:45.017382 [debug] [Thread-3  ]: Using snowflake connection "model.airbyte_utils.MT_SPEED_SCHEDULEDOPTIMIZATIONRESULT"
2022-07-13 00:43:30 normalization > 00:36:45.017872 [debug] [Thread-3  ]: On model.airbyte_utils.MT_SPEED_SCHEDULEDOPTIMIZATIONRESULT: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.MT_SPEED_SCHEDULEDOPTIMIZATIONRESULT"} */
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization >     
2022-07-13 00:43:30 normalization >         select max(cast(_AIRBYTE_EMITTED_AT as 
2022-07-13 00:43:30 normalization >     timestamp with time zone
2022-07-13 00:43:30 normalization > )) from "DEV_LANDING".MT."SPEED_SCHEDULEDOPTIMIZATIONRESULT"
2022-07-13 00:43:30 normalization > 00:36:45.188104 [debug] [Thread-3  ]: SQL status: SUCCESS 1 in 0.17 seconds
2022-07-13 00:43:30 normalization > 00:36:45.202245 [debug] [Thread-3  ]: Writing injected SQL for node "model.airbyte_utils.MT_SPEED_SCHEDULEDOPTIMIZATIONRESULT"
2022-07-13 00:43:30 normalization > 00:36:45.202872 [debug] [Thread-3  ]: finished collecting timing info
2022-07-13 00:43:30 normalization > 00:36:45.203163 [debug] [Thread-3  ]: Began executing node model.airbyte_utils.MT_SPEED_SCHEDULEDOPTIMIZATIONRESULT
2022-07-13 00:43:30 normalization > 00:36:45.213522 [debug] [Thread-3  ]: Using snowflake connection "model.airbyte_utils.MT_SPEED_SCHEDULEDOPTIMIZATIONRESULT"
2022-07-13 00:43:30 normalization > 00:36:45.213900 [debug] [Thread-3  ]: On model.airbyte_utils.MT_SPEED_SCHEDULEDOPTIMIZATIONRESULT: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.MT_SPEED_SCHEDULEDOPTIMIZATIONRESULT"} */
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization >     describe table "DEV_LANDING".MT."SPEED_SCHEDULEDOPTIMIZATIONRESULT"
2022-07-13 00:43:30 normalization > 00:36:45.266029 [debug] [Thread-3  ]: SQL status: SUCCESS 12 in 0.05 seconds
2022-07-13 00:43:30 normalization > 00:36:45.366408 [debug] [Thread-3  ]: Using snowflake connection "model.airbyte_utils.MT_SPEED_SCHEDULEDOPTIMIZATIONRESULT"
2022-07-13 00:43:30 normalization > 00:36:45.366987 [debug] [Thread-3  ]: On model.airbyte_utils.MT_SPEED_SCHEDULEDOPTIMIZATIONRESULT: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.MT_SPEED_SCHEDULEDOPTIMIZATIONRESULT"} */
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization >     
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization >       create or replace temporary table "DEV_LANDING".MT."SPEED_SCHEDULEDOPTIMIZATIONRESULT__dbt_tmp"  as
2022-07-13 00:43:30 normalization >       (select * from(
2022-07-13 00:43:30 normalization >             
2022-07-13 00:43:30 normalization > with __dbt__cte___AIRBYTE_MT_SPEED_SCHEDULEDOPTIMIZATIONRESULT_AB1 as (
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema
2022-07-13 00:43:30 normalization > -- depends_on: "DEV_LANDING".MT._AIRBYTE_RAW_SPEED_SCHEDULEDOPTIMIZATIONRESULT
2022-07-13 00:43:30 normalization > select
2022-07-13 00:43:30 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"id"')) as ID,
2022-07-13 00:43:30 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"imo"')) as IMO,
2022-07-13 00:43:30 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"date"')) as DATE,
2022-07-13 00:43:30 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"created_at"')) as CREATED_AT,
2022-07-13 00:43:30 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"updated_at"')) as UPDATED_AT,
2022-07-13 00:43:30 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"voyage_leg_id"')) as VOYAGE_LEG_ID,
2022-07-13 00:43:30 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"new_speed_plan_id"')) as NEW_SPEED_PLAN_ID,
2022-07-13 00:43:30 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"active_speed_plan_id"')) as ACTIVE_SPEED_PLAN_ID,
2022-07-13 00:43:30 normalization >     _AIRBYTE_AB_ID,
2022-07-13 00:43:30 normalization >     _AIRBYTE_EMITTED_AT,
2022-07-13 00:43:30 normalization >     convert_timezone('UTC', current_timestamp()) as _AIRBYTE_NORMALIZED_AT
2022-07-13 00:43:30 normalization > from "DEV_LANDING".MT._AIRBYTE_RAW_SPEED_SCHEDULEDOPTIMIZATIONRESULT as table_alias
2022-07-13 00:43:30 normalization > -- SPEED_SCHEDULEDOPTIMIZATIONRESULT
2022-07-13 00:43:30 normalization > where 1 = 1
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization > ),  __dbt__cte___AIRBYTE_MT_SPEED_SCHEDULEDOPTIMIZATIONRESULT_AB2 as (
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type
2022-07-13 00:43:30 normalization > -- depends_on: __dbt__cte___AIRBYTE_MT_SPEED_SCHEDULEDOPTIMIZATIONRESULT_AB1
2022-07-13 00:43:30 normalization > select
2022-07-13 00:43:30 normalization >     cast(ID as 
2022-07-13 00:43:30 normalization >     float
2022-07-13 00:43:30 normalization > ) as ID,
2022-07-13 00:43:30 normalization >     cast(IMO as 
2022-07-13 00:43:30 normalization >     float
2022-07-13 00:43:30 normalization > ) as IMO,
2022-07-13 00:43:30 normalization >     case
2022-07-13 00:43:30 normalization >         when DATE regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}(\\+|-)\\d{4}' then to_timestamp_tz(DATE, 'YYYY-MM-DDTHH24:MI:SSTZHTZM')
2022-07-13 00:43:30 normalization >         when DATE regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}(\\+|-)\\d{2}' then to_timestamp_tz(DATE, 'YYYY-MM-DDTHH24:MI:SSTZH')
2022-07-13 00:43:30 normalization >         when DATE regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}\\.\\d{1,7}(\\+|-)\\d{4}' then to_timestamp_tz(DATE, 'YYYY-MM-DDTHH24:MI:SS.FFTZHTZM')
2022-07-13 00:43:30 normalization >         when DATE regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}\\.\\d{1,7}(\\+|-)\\d{2}' then to_timestamp_tz(DATE, 'YYYY-MM-DDTHH24:MI:SS.FFTZH')
2022-07-13 00:43:30 normalization >         when DATE = '' then NULL
2022-07-13 00:43:30 normalization >     else to_timestamp_tz(DATE)
2022-07-13 00:43:30 normalization >     end as DATE
2022-07-13 00:43:30 normalization >     ,
2022-07-13 00:43:30 normalization >     case
2022-07-13 00:43:30 normalization >         when CREATED_AT regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}(\\+|-)\\d{4}' then to_timestamp_tz(CREATED_AT, 'YYYY-MM-DDTHH24:MI:SSTZHTZM')
2022-07-13 00:43:30 normalization >         when CREATED_AT regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}(\\+|-)\\d{2}' then to_timestamp_tz(CREATED_AT, 'YYYY-MM-DDTHH24:MI:SSTZH')
2022-07-13 00:43:30 normalization >         when CREATED_AT regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}\\.\\d{1,7}(\\+|-)\\d{4}' then to_timestamp_tz(CREATED_AT, 'YYYY-MM-DDTHH24:MI:SS.FFTZHTZM')
2022-07-13 00:43:30 normalization >         when CREATED_AT regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}\\.\\d{1,7}(\\+|-)\\d{2}' then to_timestamp_tz(CREATED_AT, 'YYYY-MM-DDTHH24:MI:SS.FFTZH')
2022-07-13 00:43:30 normalization >         when CREATED_AT = '' then NULL
2022-07-13 00:43:30 normalization >     else to_timestamp_tz(CREATED_AT)
2022-07-13 00:43:30 normalization >     end as CREATED_AT
2022-07-13 00:43:30 normalization >     ,
2022-07-13 00:43:30 normalization >     case
2022-07-13 00:43:30 normalization >         when UPDATED_AT regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}(\\+|-)\\d{4}' then to_timestamp_tz(UPDATED_AT, 'YYYY-MM-DDTHH24:MI:SSTZHTZM')
2022-07-13 00:43:30 normalization >         when UPDATED_AT regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}(\\+|-)\\d{2}' then to_timestamp_tz(UPDATED_AT, 'YYYY-MM-DDTHH24:MI:SSTZH')
2022-07-13 00:43:30 normalization >         when UPDATED_AT regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}\\.\\d{1,7}(\\+|-)\\d{4}' then to_timestamp_tz(UPDATED_AT, 'YYYY-MM-DDTHH24:MI:SS.FFTZHTZM')
2022-07-13 00:43:30 normalization >         when UPDATED_AT regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}\\.\\d{1,7}(\\+|-)\\d{2}' then to_timestamp_tz(UPDATED_AT, 'YYYY-MM-DDTHH24:MI:SS.FFTZH')
2022-07-13 00:43:30 normalization >         when UPDATED_AT = '' then NULL
2022-07-13 00:43:30 normalization >     else to_timestamp_tz(UPDATED_AT)
2022-07-13 00:43:30 normalization >     end as UPDATED_AT
2022-07-13 00:43:30 normalization >     ,
2022-07-13 00:43:30 normalization >     cast(VOYAGE_LEG_ID as 
2022-07-13 00:43:30 normalization >     float
2022-07-13 00:43:30 normalization > ) as VOYAGE_LEG_ID,
2022-07-13 00:43:30 normalization >     cast(NEW_SPEED_PLAN_ID as 
2022-07-13 00:43:30 normalization >     float
2022-07-13 00:43:30 normalization > ) as NEW_SPEED_PLAN_ID,
2022-07-13 00:43:30 normalization >     cast(ACTIVE_SPEED_PLAN_ID as 
2022-07-13 00:43:30 normalization >     float
2022-07-13 00:43:30 normalization > ) as ACTIVE_SPEED_PLAN_ID,
2022-07-13 00:43:30 normalization >     _AIRBYTE_AB_ID,
2022-07-13 00:43:30 normalization >     _AIRBYTE_EMITTED_AT,
2022-07-13 00:43:30 normalization >     convert_timezone('UTC', current_timestamp()) as _AIRBYTE_NORMALIZED_AT
2022-07-13 00:43:30 normalization > from __dbt__cte___AIRBYTE_MT_SPEED_SCHEDULEDOPTIMIZATIONRESULT_AB1
2022-07-13 00:43:30 normalization > -- SPEED_SCHEDULEDOPTIMIZATIONRESULT
2022-07-13 00:43:30 normalization > where 1 = 1
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization > ),  __dbt__cte___AIRBYTE_MT_SPEED_SCHEDULEDOPTIMIZATIONRESULT_AB3 as (
2022-07-13 00:43:30 normalization > 
2022-07-13 00:43:30 normalization > -- SQL model to build a hash column based on the values of this record
2022-07-13 00:43:30 normalization > -- depends_on: __dbt__cte___AIRBYTE_MT_SPEED_SCHEDULEDOPTIMIZATIONRESULT_AB2
2022-07-13 00:43:30 normalization > select
2022-07-13 00:43:30 normalization >     md5(cast(coalesce(cast(ID as 
2022-07-13 00:43:30 normalization >     varchar
2022-07-13 00:43:30 normalization > ), '') || '-' || coalesce(cast(IMO as 
2022-07-13 00:43:30 normalization >     varchar
2022-07-13 00:43:30 normalization > ), '') || '-' || coalesce(cast(DATE as 
2022-07-13 00:43:30 normalization >     varchar
2022-07-13 00:43:30 normalization > ), '') || '-' || coalesce(cast(CREATED_AT as 
2022-07-13 00:43:30 normalization >     varchar
2022-07-13 00:43:31 normalization > ), '') || '-' || coalesce(cast(UPDATED_AT as 
2022-07-13 00:43:31 normalization >     varchar
2022-07-13 00:43:31 normalization > ), '') || '-' || coalesce(cast(VOYAGE_LEG_ID as 
2022-07-13 00:43:31 normalization >     varchar
2022-07-13 00:43:31 normalization > ), '') || '-' || coalesce(cast(NEW_SPEED_PLAN_ID as 
2022-07-13 00:43:31 normalization >     varchar
2022-07-13 00:43:31 normalization > ), '') || '-' || coalesce(cast(ACTIVE_SPEED_PLAN_ID as 
2022-07-13 00:43:31 normalization >     varchar
2022-07-13 00:43:31 normalization > ), '') as 
2022-07-13 00:43:31 normalization >     varchar
2022-07-13 00:43:31 normalization > )) as _AIRBYTE_SPEED_SCHEDULEDOPTIMIZATIONRESULT_HASHID,
2022-07-13 00:43:31 normalization >     tmp.*
2022-07-13 00:43:31 normalization > from __dbt__cte___AIRBYTE_MT_SPEED_SCHEDULEDOPTIMIZATIONRESULT_AB2 tmp
2022-07-13 00:43:31 normalization > -- SPEED_SCHEDULEDOPTIMIZATIONRESULT
2022-07-13 00:43:31 normalization > where 1 = 1
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization > )-- Final base SQL model
2022-07-13 00:43:31 normalization > -- depends_on: __dbt__cte___AIRBYTE_MT_SPEED_SCHEDULEDOPTIMIZATIONRESULT_AB3
2022-07-13 00:43:31 normalization > select
2022-07-13 00:43:31 normalization >     ID,
2022-07-13 00:43:31 normalization >     IMO,
2022-07-13 00:43:31 normalization >     DATE,
2022-07-13 00:43:31 normalization >     CREATED_AT,
2022-07-13 00:43:31 normalization >     UPDATED_AT,
2022-07-13 00:43:31 normalization >     VOYAGE_LEG_ID,
2022-07-13 00:43:31 normalization >     NEW_SPEED_PLAN_ID,
2022-07-13 00:43:31 normalization >     ACTIVE_SPEED_PLAN_ID,
2022-07-13 00:43:31 normalization >     _AIRBYTE_AB_ID,
2022-07-13 00:43:31 normalization >     _AIRBYTE_EMITTED_AT,
2022-07-13 00:43:31 normalization >     convert_timezone('UTC', current_timestamp()) as _AIRBYTE_NORMALIZED_AT,
2022-07-13 00:43:31 normalization >     _AIRBYTE_SPEED_SCHEDULEDOPTIMIZATIONRESULT_HASHID
2022-07-13 00:43:31 normalization > from __dbt__cte___AIRBYTE_MT_SPEED_SCHEDULEDOPTIMIZATIONRESULT_AB3
2022-07-13 00:43:31 normalization > -- SPEED_SCHEDULEDOPTIMIZATIONRESULT from "DEV_LANDING".MT._AIRBYTE_RAW_SPEED_SCHEDULEDOPTIMIZATIONRESULT
2022-07-13 00:43:31 normalization > where 1 = 1
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization >     
2022-07-13 00:43:31 normalization > and cast(_AIRBYTE_EMITTED_AT as 
2022-07-13 00:43:31 normalization >     timestamp with time zone
2022-07-13 00:43:31 normalization > ) >=
2022-07-13 00:43:31 normalization >     cast('2022-07-12 17:47:22.629000-07:00' as 
2022-07-13 00:43:31 normalization >     timestamp with time zone
2022-07-13 00:43:31 normalization > )
2022-07-13 00:43:31 normalization >     
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization >             ) order by (_AIRBYTE_EMITTED_AT)
2022-07-13 00:43:31 normalization >       );
2022-07-13 00:43:31 normalization > 00:36:46.084049 [debug] [Thread-5  ]: SQL status: SUCCESS 775404 in 17.24 seconds
2022-07-13 00:43:31 normalization > 00:36:46.084599 [debug] [Thread-5  ]: Using snowflake connection "model.airbyte_utils.MT_SIMBUNKER_SPEEDRESPONSE"
2022-07-13 00:43:31 normalization > 00:36:46.084871 [debug] [Thread-5  ]: On model.airbyte_utils.MT_SIMBUNKER_SPEEDRESPONSE: commit;
2022-07-13 00:43:31 normalization > 00:36:46.417574 [debug] [Thread-5  ]: SQL status: SUCCESS 1 in 0.33 seconds
2022-07-13 00:43:31 normalization > 00:36:46.472536 [debug] [Thread-5  ]: finished collecting timing info
2022-07-13 00:43:31 normalization > 00:36:46.472977 [debug] [Thread-5  ]: On model.airbyte_utils.MT_SIMBUNKER_SPEEDRESPONSE: Close
2022-07-13 00:43:31 normalization > 00:36:46.546321 [info ] [Thread-5  ]: 23 of 60 OK created incremental model MT.SIMBUNKER_SPEEDRESPONSE........................................................ [SUCCESS 1 in 35.98s]
2022-07-13 00:43:31 normalization > 00:36:46.547147 [debug] [Thread-5  ]: Finished running node model.airbyte_utils.MT_SIMBUNKER_SPEEDRESPONSE
2022-07-13 00:43:31 normalization > 00:36:46.547565 [debug] [Thread-5  ]: Began running node model.airbyte_utils.MT_SPEED_SPEEDPLANINPUTVIAPOINT
2022-07-13 00:43:31 normalization > 00:36:46.548390 [info ] [Thread-5  ]: 27 of 60 START incremental model MT.SPEED_SPEEDPLANINPUTVIAPOINT........................................................ [RUN]
2022-07-13 00:43:31 normalization > 00:36:46.549412 [debug] [Thread-5  ]: Acquiring new snowflake connection "model.airbyte_utils.MT_SPEED_SPEEDPLANINPUTVIAPOINT"
2022-07-13 00:43:31 normalization > 00:36:46.549684 [debug] [Thread-5  ]: Began compiling node model.airbyte_utils.MT_SPEED_SPEEDPLANINPUTVIAPOINT
2022-07-13 00:43:31 normalization > 00:36:46.549956 [debug] [Thread-5  ]: Compiling model.airbyte_utils.MT_SPEED_SPEEDPLANINPUTVIAPOINT
2022-07-13 00:43:31 normalization > 00:36:46.624926 [debug] [Thread-5  ]: Using snowflake connection "model.airbyte_utils.MT_SPEED_SPEEDPLANINPUTVIAPOINT"
2022-07-13 00:43:31 normalization > 00:36:46.625476 [debug] [Thread-5  ]: On model.airbyte_utils.MT_SPEED_SPEEDPLANINPUTVIAPOINT: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.MT_SPEED_SPEEDPLANINPUTVIAPOINT"} */
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization >     describe table "DEV_LANDING".MT."SPEED_SPEEDPLANINPUTVIAPOINT"
2022-07-13 00:43:31 normalization > 00:36:46.625904 [debug] [Thread-5  ]: Opening a new connection, currently in state closed
2022-07-13 00:43:31 normalization > 00:36:47.752542 [debug] [Thread-5  ]: SQL status: SUCCESS 14 in 1.13 seconds
2022-07-13 00:43:31 normalization > 00:36:47.828429 [debug] [Thread-5  ]: Using snowflake connection "model.airbyte_utils.MT_SPEED_SPEEDPLANINPUTVIAPOINT"
2022-07-13 00:43:31 normalization > 00:36:47.828834 [debug] [Thread-5  ]: On model.airbyte_utils.MT_SPEED_SPEEDPLANINPUTVIAPOINT: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.MT_SPEED_SPEEDPLANINPUTVIAPOINT"} */
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization >     describe table "DEV_LANDING".MT."SPEED_SPEEDPLANINPUTVIAPOINT"
2022-07-13 00:43:31 normalization > 00:36:47.869683 [debug] [Thread-5  ]: SQL status: SUCCESS 14 in 0.04 seconds
2022-07-13 00:43:31 normalization > 00:36:47.874290 [debug] [Thread-5  ]: Using snowflake connection "model.airbyte_utils.MT_SPEED_SPEEDPLANINPUTVIAPOINT"
2022-07-13 00:43:31 normalization > 00:36:47.874741 [debug] [Thread-5  ]: On model.airbyte_utils.MT_SPEED_SPEEDPLANINPUTVIAPOINT: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.MT_SPEED_SPEEDPLANINPUTVIAPOINT"} */
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization >     
2022-07-13 00:43:31 normalization >         select max(cast(_AIRBYTE_EMITTED_AT as 
2022-07-13 00:43:31 normalization >     timestamp with time zone
2022-07-13 00:43:31 normalization > )) from "DEV_LANDING".MT."SPEED_SPEEDPLANINPUTVIAPOINT"
2022-07-13 00:43:31 normalization > 00:36:48.349551 [debug] [Thread-5  ]: SQL status: SUCCESS 1 in 0.47 seconds
2022-07-13 00:43:31 normalization > 00:36:48.420968 [debug] [Thread-5  ]: Using snowflake connection "model.airbyte_utils.MT_SPEED_SPEEDPLANINPUTVIAPOINT"
2022-07-13 00:43:31 normalization > 00:36:48.421357 [debug] [Thread-5  ]: On model.airbyte_utils.MT_SPEED_SPEEDPLANINPUTVIAPOINT: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.MT_SPEED_SPEEDPLANINPUTVIAPOINT"} */
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization >     describe table "DEV_LANDING".MT."SPEED_SPEEDPLANINPUTVIAPOINT"
2022-07-13 00:43:31 normalization > 00:36:48.488328 [debug] [Thread-5  ]: SQL status: SUCCESS 14 in 0.07 seconds
2022-07-13 00:43:31 normalization > 00:36:48.493450 [debug] [Thread-5  ]: Using snowflake connection "model.airbyte_utils.MT_SPEED_SPEEDPLANINPUTVIAPOINT"
2022-07-13 00:43:31 normalization > 00:36:48.493835 [debug] [Thread-5  ]: On model.airbyte_utils.MT_SPEED_SPEEDPLANINPUTVIAPOINT: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.MT_SPEED_SPEEDPLANINPUTVIAPOINT"} */
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization >     
2022-07-13 00:43:31 normalization >         select max(cast(_AIRBYTE_EMITTED_AT as 
2022-07-13 00:43:31 normalization >     timestamp with time zone
2022-07-13 00:43:31 normalization > )) from "DEV_LANDING".MT."SPEED_SPEEDPLANINPUTVIAPOINT"
2022-07-13 00:43:31 normalization > 00:36:48.544286 [debug] [Thread-5  ]: SQL status: SUCCESS 1 in 0.05 seconds
2022-07-13 00:43:31 normalization > 00:36:48.562587 [debug] [Thread-5  ]: Writing injected SQL for node "model.airbyte_utils.MT_SPEED_SPEEDPLANINPUTVIAPOINT"
2022-07-13 00:43:31 normalization > 00:36:48.563419 [debug] [Thread-5  ]: finished collecting timing info
2022-07-13 00:43:31 normalization > 00:36:48.563840 [debug] [Thread-5  ]: Began executing node model.airbyte_utils.MT_SPEED_SPEEDPLANINPUTVIAPOINT
2022-07-13 00:43:31 normalization > 00:36:48.573067 [debug] [Thread-5  ]: Using snowflake connection "model.airbyte_utils.MT_SPEED_SPEEDPLANINPUTVIAPOINT"
2022-07-13 00:43:31 normalization > 00:36:48.573455 [debug] [Thread-5  ]: On model.airbyte_utils.MT_SPEED_SPEEDPLANINPUTVIAPOINT: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.MT_SPEED_SPEEDPLANINPUTVIAPOINT"} */
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization >     describe table "DEV_LANDING".MT."SPEED_SPEEDPLANINPUTVIAPOINT"
2022-07-13 00:43:31 normalization > 00:36:48.612022 [debug] [Thread-5  ]: SQL status: SUCCESS 14 in 0.04 seconds
2022-07-13 00:43:31 normalization > 00:36:48.689016 [debug] [Thread-5  ]: Using snowflake connection "model.airbyte_utils.MT_SPEED_SPEEDPLANINPUTVIAPOINT"
2022-07-13 00:43:31 normalization > 00:36:48.689429 [debug] [Thread-5  ]: On model.airbyte_utils.MT_SPEED_SPEEDPLANINPUTVIAPOINT: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.MT_SPEED_SPEEDPLANINPUTVIAPOINT"} */
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization >     
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization >       create or replace temporary table "DEV_LANDING".MT."SPEED_SPEEDPLANINPUTVIAPOINT__dbt_tmp"  as
2022-07-13 00:43:31 normalization >       (select * from(
2022-07-13 00:43:31 normalization >             
2022-07-13 00:43:31 normalization > with __dbt__cte___AIRBYTE_MT_SPEED_SPEEDPLANINPUTVIAPOINT_AB1 as (
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema
2022-07-13 00:43:31 normalization > -- depends_on: "DEV_LANDING".MT._AIRBYTE_RAW_SPEED_SPEEDPLANINPUTVIAPOINT
2022-07-13 00:43:31 normalization > select
2022-07-13 00:43:31 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"id"')) as ID,
2022-07-13 00:43:31 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"port_id"')) as PORT_ID,
2022-07-13 00:43:31 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"visited"')) as VISITED,
2022-07-13 00:43:31 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"latitude"')) as LATITUDE,
2022-07-13 00:43:31 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"longitude"')) as LONGITUDE,
2022-07-13 00:43:31 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"wait_time"')) as WAIT_TIME,
2022-07-13 00:43:31 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"created_at"')) as CREATED_AT,
2022-07-13 00:43:31 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"updated_at"')) as UPDATED_AT,
2022-07-13 00:43:31 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"arrival_date"')) as ARRIVAL_DATE,
2022-07-13 00:43:31 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"speed_plan_id"')) as SPEED_PLAN_ID,
2022-07-13 00:43:31 normalization >     _AIRBYTE_AB_ID,
2022-07-13 00:43:31 normalization >     _AIRBYTE_EMITTED_AT,
2022-07-13 00:43:31 normalization >     convert_timezone('UTC', current_timestamp()) as _AIRBYTE_NORMALIZED_AT
2022-07-13 00:43:31 normalization > from "DEV_LANDING".MT._AIRBYTE_RAW_SPEED_SPEEDPLANINPUTVIAPOINT as table_alias
2022-07-13 00:43:31 normalization > -- SPEED_SPEEDPLANINPUTVIAPOINT
2022-07-13 00:43:31 normalization > where 1 = 1
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization > ),  __dbt__cte___AIRBYTE_MT_SPEED_SPEEDPLANINPUTVIAPOINT_AB2 as (
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type
2022-07-13 00:43:31 normalization > -- depends_on: __dbt__cte___AIRBYTE_MT_SPEED_SPEEDPLANINPUTVIAPOINT_AB1
2022-07-13 00:43:31 normalization > select
2022-07-13 00:43:31 normalization >     cast(ID as 
2022-07-13 00:43:31 normalization >     float
2022-07-13 00:43:31 normalization > ) as ID,
2022-07-13 00:43:31 normalization >     cast(PORT_ID as 
2022-07-13 00:43:31 normalization >     varchar
2022-07-13 00:43:31 normalization > ) as PORT_ID,
2022-07-13 00:43:31 normalization >     cast(VISITED as boolean) as VISITED,
2022-07-13 00:43:31 normalization >     cast(LATITUDE as 
2022-07-13 00:43:31 normalization >     float
2022-07-13 00:43:31 normalization > ) as LATITUDE,
2022-07-13 00:43:31 normalization >     cast(LONGITUDE as 
2022-07-13 00:43:31 normalization >     float
2022-07-13 00:43:31 normalization > ) as LONGITUDE,
2022-07-13 00:43:31 normalization >     cast(WAIT_TIME as 
2022-07-13 00:43:31 normalization >     varchar
2022-07-13 00:43:31 normalization > ) as WAIT_TIME,
2022-07-13 00:43:31 normalization >     case
2022-07-13 00:43:31 normalization >         when CREATED_AT regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}(\\+|-)\\d{4}' then to_timestamp_tz(CREATED_AT, 'YYYY-MM-DDTHH24:MI:SSTZHTZM')
2022-07-13 00:43:31 normalization >         when CREATED_AT regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}(\\+|-)\\d{2}' then to_timestamp_tz(CREATED_AT, 'YYYY-MM-DDTHH24:MI:SSTZH')
2022-07-13 00:43:31 normalization >         when CREATED_AT regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}\\.\\d{1,7}(\\+|-)\\d{4}' then to_timestamp_tz(CREATED_AT, 'YYYY-MM-DDTHH24:MI:SS.FFTZHTZM')
2022-07-13 00:43:31 normalization >         when CREATED_AT regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}\\.\\d{1,7}(\\+|-)\\d{2}' then to_timestamp_tz(CREATED_AT, 'YYYY-MM-DDTHH24:MI:SS.FFTZH')
2022-07-13 00:43:31 normalization >         when CREATED_AT = '' then NULL
2022-07-13 00:43:31 normalization >     else to_timestamp_tz(CREATED_AT)
2022-07-13 00:43:31 normalization >     end as CREATED_AT
2022-07-13 00:43:31 normalization >     ,
2022-07-13 00:43:31 normalization >     case
2022-07-13 00:43:31 normalization >         when UPDATED_AT regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}(\\+|-)\\d{4}' then to_timestamp_tz(UPDATED_AT, 'YYYY-MM-DDTHH24:MI:SSTZHTZM')
2022-07-13 00:43:31 normalization >         when UPDATED_AT regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}(\\+|-)\\d{2}' then to_timestamp_tz(UPDATED_AT, 'YYYY-MM-DDTHH24:MI:SSTZH')
2022-07-13 00:43:31 normalization >         when UPDATED_AT regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}\\.\\d{1,7}(\\+|-)\\d{4}' then to_timestamp_tz(UPDATED_AT, 'YYYY-MM-DDTHH24:MI:SS.FFTZHTZM')
2022-07-13 00:43:31 normalization >         when UPDATED_AT regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}\\.\\d{1,7}(\\+|-)\\d{2}' then to_timestamp_tz(UPDATED_AT, 'YYYY-MM-DDTHH24:MI:SS.FFTZH')
2022-07-13 00:43:31 normalization >         when UPDATED_AT = '' then NULL
2022-07-13 00:43:31 normalization >     else to_timestamp_tz(UPDATED_AT)
2022-07-13 00:43:31 normalization >     end as UPDATED_AT
2022-07-13 00:43:31 normalization >     ,
2022-07-13 00:43:31 normalization >     case
2022-07-13 00:43:31 normalization >         when ARRIVAL_DATE regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}(\\+|-)\\d{4}' then to_timestamp_tz(ARRIVAL_DATE, 'YYYY-MM-DDTHH24:MI:SSTZHTZM')
2022-07-13 00:43:31 normalization >         when ARRIVAL_DATE regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}(\\+|-)\\d{2}' then to_timestamp_tz(ARRIVAL_DATE, 'YYYY-MM-DDTHH24:MI:SSTZH')
2022-07-13 00:43:31 normalization >         when ARRIVAL_DATE regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}\\.\\d{1,7}(\\+|-)\\d{4}' then to_timestamp_tz(ARRIVAL_DATE, 'YYYY-MM-DDTHH24:MI:SS.FFTZHTZM')
2022-07-13 00:43:31 normalization >         when ARRIVAL_DATE regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}\\.\\d{1,7}(\\+|-)\\d{2}' then to_timestamp_tz(ARRIVAL_DATE, 'YYYY-MM-DDTHH24:MI:SS.FFTZH')
2022-07-13 00:43:31 normalization >         when ARRIVAL_DATE = '' then NULL
2022-07-13 00:43:31 normalization >     else to_timestamp_tz(ARRIVAL_DATE)
2022-07-13 00:43:31 normalization >     end as ARRIVAL_DATE
2022-07-13 00:43:31 normalization >     ,
2022-07-13 00:43:31 normalization >     cast(SPEED_PLAN_ID as 
2022-07-13 00:43:31 normalization >     float
2022-07-13 00:43:31 normalization > ) as SPEED_PLAN_ID,
2022-07-13 00:43:31 normalization >     _AIRBYTE_AB_ID,
2022-07-13 00:43:31 normalization >     _AIRBYTE_EMITTED_AT,
2022-07-13 00:43:31 normalization >     convert_timezone('UTC', current_timestamp()) as _AIRBYTE_NORMALIZED_AT
2022-07-13 00:43:31 normalization > from __dbt__cte___AIRBYTE_MT_SPEED_SPEEDPLANINPUTVIAPOINT_AB1
2022-07-13 00:43:31 normalization > -- SPEED_SPEEDPLANINPUTVIAPOINT
2022-07-13 00:43:31 normalization > where 1 = 1
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization > ),  __dbt__cte___AIRBYTE_MT_SPEED_SPEEDPLANINPUTVIAPOINT_AB3 as (
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization > -- SQL model to build a hash column based on the values of this record
2022-07-13 00:43:31 normalization > -- depends_on: __dbt__cte___AIRBYTE_MT_SPEED_SPEEDPLANINPUTVIAPOINT_AB2
2022-07-13 00:43:31 normalization > select
2022-07-13 00:43:31 normalization >     md5(cast(coalesce(cast(ID as 
2022-07-13 00:43:31 normalization >     varchar
2022-07-13 00:43:31 normalization > ), '') || '-' || coalesce(cast(PORT_ID as 
2022-07-13 00:43:31 normalization >     varchar
2022-07-13 00:43:31 normalization > ), '') || '-' || coalesce(cast(VISITED as 
2022-07-13 00:43:31 normalization >     varchar
2022-07-13 00:43:31 normalization > ), '') || '-' || coalesce(cast(LATITUDE as 
2022-07-13 00:43:31 normalization >     varchar
2022-07-13 00:43:31 normalization > ), '') || '-' || coalesce(cast(LONGITUDE as 
2022-07-13 00:43:31 normalization >     varchar
2022-07-13 00:43:31 normalization > ), '') || '-' || coalesce(cast(WAIT_TIME as 
2022-07-13 00:43:31 normalization >     varchar
2022-07-13 00:43:31 normalization > ), '') || '-' || coalesce(cast(CREATED_AT as 
2022-07-13 00:43:31 normalization >     varchar
2022-07-13 00:43:31 normalization > ), '') || '-' || coalesce(cast(UPDATED_AT as 
2022-07-13 00:43:31 normalization >     varchar
2022-07-13 00:43:31 normalization > ), '') || '-' || coalesce(cast(ARRIVAL_DATE as 
2022-07-13 00:43:31 normalization >     varchar
2022-07-13 00:43:31 normalization > ), '') || '-' || coalesce(cast(SPEED_PLAN_ID as 
2022-07-13 00:43:31 normalization >     varchar
2022-07-13 00:43:31 normalization > ), '') as 
2022-07-13 00:43:31 normalization >     varchar
2022-07-13 00:43:31 normalization > )) as _AIRBYTE_SPEED_SPEEDPLANINPUTVIAPOINT_HASHID,
2022-07-13 00:43:31 normalization >     tmp.*
2022-07-13 00:43:31 normalization > from __dbt__cte___AIRBYTE_MT_SPEED_SPEEDPLANINPUTVIAPOINT_AB2 tmp
2022-07-13 00:43:31 normalization > -- SPEED_SPEEDPLANINPUTVIAPOINT
2022-07-13 00:43:31 normalization > where 1 = 1
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization > )-- Final base SQL model
2022-07-13 00:43:31 normalization > -- depends_on: __dbt__cte___AIRBYTE_MT_SPEED_SPEEDPLANINPUTVIAPOINT_AB3
2022-07-13 00:43:31 normalization > select
2022-07-13 00:43:31 normalization >     ID,
2022-07-13 00:43:31 normalization >     PORT_ID,
2022-07-13 00:43:31 normalization >     VISITED,
2022-07-13 00:43:31 normalization >     LATITUDE,
2022-07-13 00:43:31 normalization >     LONGITUDE,
2022-07-13 00:43:31 normalization >     WAIT_TIME,
2022-07-13 00:43:31 normalization >     CREATED_AT,
2022-07-13 00:43:31 normalization >     UPDATED_AT,
2022-07-13 00:43:31 normalization >     ARRIVAL_DATE,
2022-07-13 00:43:31 normalization >     SPEED_PLAN_ID,
2022-07-13 00:43:31 normalization >     _AIRBYTE_AB_ID,
2022-07-13 00:43:31 normalization >     _AIRBYTE_EMITTED_AT,
2022-07-13 00:43:31 normalization >     convert_timezone('UTC', current_timestamp()) as _AIRBYTE_NORMALIZED_AT,
2022-07-13 00:43:31 normalization >     _AIRBYTE_SPEED_SPEEDPLANINPUTVIAPOINT_HASHID
2022-07-13 00:43:31 normalization > from __dbt__cte___AIRBYTE_MT_SPEED_SPEEDPLANINPUTVIAPOINT_AB3
2022-07-13 00:43:31 normalization > -- SPEED_SPEEDPLANINPUTVIAPOINT from "DEV_LANDING".MT._AIRBYTE_RAW_SPEED_SPEEDPLANINPUTVIAPOINT
2022-07-13 00:43:31 normalization > where 1 = 1
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization >     
2022-07-13 00:43:31 normalization > and cast(_AIRBYTE_EMITTED_AT as 
2022-07-13 00:43:31 normalization >     timestamp with time zone
2022-07-13 00:43:31 normalization > ) >=
2022-07-13 00:43:31 normalization >     cast('2022-07-12 17:47:22.629000-07:00' as 
2022-07-13 00:43:31 normalization >     timestamp with time zone
2022-07-13 00:43:31 normalization > )
2022-07-13 00:43:31 normalization >     
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization >             ) order by (_AIRBYTE_EMITTED_AT)
2022-07-13 00:43:31 normalization >       );
2022-07-13 00:43:31 normalization > 00:36:48.709236 [debug] [Thread-3  ]: SQL status: SUCCESS 1 in 3.34 seconds
2022-07-13 00:43:31 normalization > 00:36:48.717457 [debug] [Thread-3  ]: Using snowflake connection "model.airbyte_utils.MT_SPEED_SCHEDULEDOPTIMIZATIONRESULT"
2022-07-13 00:43:31 normalization > 00:36:48.717854 [debug] [Thread-3  ]: On model.airbyte_utils.MT_SPEED_SCHEDULEDOPTIMIZATIONRESULT: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.MT_SPEED_SCHEDULEDOPTIMIZATIONRESULT"} */
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization >     describe table "DEV_LANDING".MT."SPEED_SCHEDULEDOPTIMIZATIONRESULT__dbt_tmp"
2022-07-13 00:43:31 normalization > 00:36:48.771136 [debug] [Thread-3  ]: SQL status: SUCCESS 12 in 0.05 seconds
2022-07-13 00:43:31 normalization > 00:36:48.783727 [debug] [Thread-3  ]: Using snowflake connection "model.airbyte_utils.MT_SPEED_SCHEDULEDOPTIMIZATIONRESULT"
2022-07-13 00:43:31 normalization > 00:36:48.784260 [debug] [Thread-3  ]: On model.airbyte_utils.MT_SPEED_SCHEDULEDOPTIMIZATIONRESULT: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.MT_SPEED_SCHEDULEDOPTIMIZATIONRESULT"} */
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization >     describe table "DEV_LANDING".MT."SPEED_SCHEDULEDOPTIMIZATIONRESULT"
2022-07-13 00:43:31 normalization > 00:36:48.821581 [debug] [Thread-3  ]: SQL status: SUCCESS 12 in 0.04 seconds
2022-07-13 00:43:31 normalization > 00:36:48.829754 [debug] [Thread-3  ]: Using snowflake connection "model.airbyte_utils.MT_SPEED_SCHEDULEDOPTIMIZATIONRESULT"
2022-07-13 00:43:31 normalization > 00:36:48.830150 [debug] [Thread-3  ]: On model.airbyte_utils.MT_SPEED_SCHEDULEDOPTIMIZATIONRESULT: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.MT_SPEED_SCHEDULEDOPTIMIZATIONRESULT"} */
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization >     describe table "DEV_LANDING".MT."SPEED_SCHEDULEDOPTIMIZATIONRESULT__dbt_tmp"
2022-07-13 00:43:31 normalization > 00:36:48.870354 [debug] [Thread-3  ]: SQL status: SUCCESS 12 in 0.04 seconds
2022-07-13 00:43:31 normalization > 00:36:48.877719 [debug] [Thread-3  ]: Using snowflake connection "model.airbyte_utils.MT_SPEED_SCHEDULEDOPTIMIZATIONRESULT"
2022-07-13 00:43:31 normalization > 00:36:48.878100 [debug] [Thread-3  ]: On model.airbyte_utils.MT_SPEED_SCHEDULEDOPTIMIZATIONRESULT: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.MT_SPEED_SCHEDULEDOPTIMIZATIONRESULT"} */
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization >     describe table "DEV_LANDING"."MT"."SPEED_SCHEDULEDOPTIMIZATIONRESULT"
2022-07-13 00:43:31 normalization > 00:36:48.918302 [debug] [Thread-3  ]: SQL status: SUCCESS 12 in 0.04 seconds
2022-07-13 00:43:31 normalization > 00:36:48.924284 [debug] [Thread-3  ]: 
2022-07-13 00:43:31 normalization >     In "DEV_LANDING"."MT"."SPEED_SCHEDULEDOPTIMIZATIONRESULT":
2022-07-13 00:43:31 normalization >         Schema changed: False
2022-07-13 00:43:31 normalization >         Source columns not in target: []
2022-07-13 00:43:31 normalization >         Target columns not in source: []
2022-07-13 00:43:31 normalization >         New column types: []
2022-07-13 00:43:31 normalization >   
2022-07-13 00:43:31 normalization > 00:36:48.927269 [debug] [Thread-3  ]: Writing runtime SQL for node "model.airbyte_utils.MT_SPEED_SCHEDULEDOPTIMIZATIONRESULT"
2022-07-13 00:43:31 normalization > 00:36:48.929626 [debug] [Thread-3  ]: Using snowflake connection "model.airbyte_utils.MT_SPEED_SCHEDULEDOPTIMIZATIONRESULT"
2022-07-13 00:43:31 normalization > 00:36:48.929936 [debug] [Thread-3  ]: On model.airbyte_utils.MT_SPEED_SCHEDULEDOPTIMIZATIONRESULT: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.MT_SPEED_SCHEDULEDOPTIMIZATIONRESULT"} */
2022-07-13 00:43:31 normalization > begin;
2022-07-13 00:43:31 normalization > 00:36:48.981170 [debug] [Thread-3  ]: SQL status: SUCCESS 1 in 0.05 seconds
2022-07-13 00:43:31 normalization > 00:36:48.981965 [debug] [Thread-3  ]: Using snowflake connection "model.airbyte_utils.MT_SPEED_SCHEDULEDOPTIMIZATIONRESULT"
2022-07-13 00:43:31 normalization > 00:36:48.982447 [debug] [Thread-3  ]: On model.airbyte_utils.MT_SPEED_SCHEDULEDOPTIMIZATIONRESULT: merge into "DEV_LANDING".MT."SPEED_SCHEDULEDOPTIMIZATIONRESULT" as DBT_INTERNAL_DEST
2022-07-13 00:43:31 normalization >         using "DEV_LANDING".MT."SPEED_SCHEDULEDOPTIMIZATIONRESULT__dbt_tmp" as DBT_INTERNAL_SOURCE
2022-07-13 00:43:31 normalization >         on 
2022-07-13 00:43:31 normalization >             DBT_INTERNAL_SOURCE._AIRBYTE_AB_ID = DBT_INTERNAL_DEST._AIRBYTE_AB_ID
2022-07-13 00:43:31 normalization >         
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization >     
2022-07-13 00:43:31 normalization >     when matched then update set
2022-07-13 00:43:31 normalization >         "ID" = DBT_INTERNAL_SOURCE."ID","IMO" = DBT_INTERNAL_SOURCE."IMO","DATE" = DBT_INTERNAL_SOURCE."DATE","CREATED_AT" = DBT_INTERNAL_SOURCE."CREATED_AT","UPDATED_AT" = DBT_INTERNAL_SOURCE."UPDATED_AT","VOYAGE_LEG_ID" = DBT_INTERNAL_SOURCE."VOYAGE_LEG_ID","NEW_SPEED_PLAN_ID" = DBT_INTERNAL_SOURCE."NEW_SPEED_PLAN_ID","ACTIVE_SPEED_PLAN_ID" = DBT_INTERNAL_SOURCE."ACTIVE_SPEED_PLAN_ID","_AIRBYTE_AB_ID" = DBT_INTERNAL_SOURCE."_AIRBYTE_AB_ID","_AIRBYTE_EMITTED_AT" = DBT_INTERNAL_SOURCE."_AIRBYTE_EMITTED_AT","_AIRBYTE_NORMALIZED_AT" = DBT_INTERNAL_SOURCE."_AIRBYTE_NORMALIZED_AT","_AIRBYTE_SPEED_SCHEDULEDOPTIMIZATIONRESULT_HASHID" = DBT_INTERNAL_SOURCE."_AIRBYTE_SPEED_SCHEDULEDOPTIMIZATIONRESULT_HASHID"
2022-07-13 00:43:31 normalization >     
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization >     when not matched then insert
2022-07-13 00:43:31 normalization >         ("ID", "IMO", "DATE", "CREATED_AT", "UPDATED_AT", "VOYAGE_LEG_ID", "NEW_SPEED_PLAN_ID", "ACTIVE_SPEED_PLAN_ID", "_AIRBYTE_AB_ID", "_AIRBYTE_EMITTED_AT", "_AIRBYTE_NORMALIZED_AT", "_AIRBYTE_SPEED_SCHEDULEDOPTIMIZATIONRESULT_HASHID")
2022-07-13 00:43:31 normalization >     values
2022-07-13 00:43:31 normalization >         ("ID", "IMO", "DATE", "CREATED_AT", "UPDATED_AT", "VOYAGE_LEG_ID", "NEW_SPEED_PLAN_ID", "ACTIVE_SPEED_PLAN_ID", "_AIRBYTE_AB_ID", "_AIRBYTE_EMITTED_AT", "_AIRBYTE_NORMALIZED_AT", "_AIRBYTE_SPEED_SCHEDULEDOPTIMIZATIONRESULT_HASHID")
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization > ;
2022-07-13 00:43:31 normalization > 00:36:50.420916 [debug] [Thread-5  ]: SQL status: SUCCESS 1 in 1.73 seconds
2022-07-13 00:43:31 normalization > 00:36:50.427004 [debug] [Thread-5  ]: Using snowflake connection "model.airbyte_utils.MT_SPEED_SPEEDPLANINPUTVIAPOINT"
2022-07-13 00:43:31 normalization > 00:36:50.427396 [debug] [Thread-5  ]: On model.airbyte_utils.MT_SPEED_SPEEDPLANINPUTVIAPOINT: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.MT_SPEED_SPEEDPLANINPUTVIAPOINT"} */
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization >     describe table "DEV_LANDING".MT."SPEED_SPEEDPLANINPUTVIAPOINT__dbt_tmp"
2022-07-13 00:43:31 normalization > 00:36:50.473011 [debug] [Thread-5  ]: SQL status: SUCCESS 14 in 0.05 seconds
2022-07-13 00:43:31 normalization > 00:36:50.484744 [debug] [Thread-5  ]: Using snowflake connection "model.airbyte_utils.MT_SPEED_SPEEDPLANINPUTVIAPOINT"
2022-07-13 00:43:31 normalization > 00:36:50.485141 [debug] [Thread-5  ]: On model.airbyte_utils.MT_SPEED_SPEEDPLANINPUTVIAPOINT: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.MT_SPEED_SPEEDPLANINPUTVIAPOINT"} */
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization >     describe table "DEV_LANDING".MT."SPEED_SPEEDPLANINPUTVIAPOINT"
2022-07-13 00:43:31 normalization > 00:36:50.526734 [debug] [Thread-5  ]: SQL status: SUCCESS 14 in 0.04 seconds
2022-07-13 00:43:31 normalization > 00:36:50.534482 [debug] [Thread-5  ]: Using snowflake connection "model.airbyte_utils.MT_SPEED_SPEEDPLANINPUTVIAPOINT"
2022-07-13 00:43:31 normalization > 00:36:50.534947 [debug] [Thread-5  ]: On model.airbyte_utils.MT_SPEED_SPEEDPLANINPUTVIAPOINT: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.MT_SPEED_SPEEDPLANINPUTVIAPOINT"} */
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization >     describe table "DEV_LANDING".MT."SPEED_SPEEDPLANINPUTVIAPOINT__dbt_tmp"
2022-07-13 00:43:31 normalization > 00:36:50.595279 [debug] [Thread-5  ]: SQL status: SUCCESS 14 in 0.06 seconds
2022-07-13 00:43:31 normalization > 00:36:50.604091 [debug] [Thread-5  ]: Using snowflake connection "model.airbyte_utils.MT_SPEED_SPEEDPLANINPUTVIAPOINT"
2022-07-13 00:43:31 normalization > 00:36:50.604477 [debug] [Thread-5  ]: On model.airbyte_utils.MT_SPEED_SPEEDPLANINPUTVIAPOINT: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.MT_SPEED_SPEEDPLANINPUTVIAPOINT"} */
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization >     describe table "DEV_LANDING"."MT"."SPEED_SPEEDPLANINPUTVIAPOINT"
2022-07-13 00:43:31 normalization > 00:36:50.644660 [debug] [Thread-5  ]: SQL status: SUCCESS 14 in 0.04 seconds
2022-07-13 00:43:31 normalization > 00:36:50.651401 [debug] [Thread-5  ]: 
2022-07-13 00:43:31 normalization >     In "DEV_LANDING"."MT"."SPEED_SPEEDPLANINPUTVIAPOINT":
2022-07-13 00:43:31 normalization >         Schema changed: False
2022-07-13 00:43:31 normalization >         Source columns not in target: []
2022-07-13 00:43:31 normalization >         Target columns not in source: []
2022-07-13 00:43:31 normalization >         New column types: []
2022-07-13 00:43:31 normalization >   
2022-07-13 00:43:31 normalization > 00:36:50.654251 [debug] [Thread-5  ]: Writing runtime SQL for node "model.airbyte_utils.MT_SPEED_SPEEDPLANINPUTVIAPOINT"
2022-07-13 00:43:31 normalization > 00:36:50.657427 [debug] [Thread-5  ]: Using snowflake connection "model.airbyte_utils.MT_SPEED_SPEEDPLANINPUTVIAPOINT"
2022-07-13 00:43:31 normalization > 00:36:50.657772 [debug] [Thread-5  ]: On model.airbyte_utils.MT_SPEED_SPEEDPLANINPUTVIAPOINT: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.MT_SPEED_SPEEDPLANINPUTVIAPOINT"} */
2022-07-13 00:43:31 normalization > begin;
2022-07-13 00:43:31 normalization > 00:36:50.719114 [debug] [Thread-5  ]: SQL status: SUCCESS 1 in 0.06 seconds
2022-07-13 00:43:31 normalization > 00:36:50.719603 [debug] [Thread-5  ]: Using snowflake connection "model.airbyte_utils.MT_SPEED_SPEEDPLANINPUTVIAPOINT"
2022-07-13 00:43:31 normalization > 00:36:50.719947 [debug] [Thread-5  ]: On model.airbyte_utils.MT_SPEED_SPEEDPLANINPUTVIAPOINT: merge into "DEV_LANDING".MT."SPEED_SPEEDPLANINPUTVIAPOINT" as DBT_INTERNAL_DEST
2022-07-13 00:43:31 normalization >         using "DEV_LANDING".MT."SPEED_SPEEDPLANINPUTVIAPOINT__dbt_tmp" as DBT_INTERNAL_SOURCE
2022-07-13 00:43:31 normalization >         on 
2022-07-13 00:43:31 normalization >             DBT_INTERNAL_SOURCE._AIRBYTE_AB_ID = DBT_INTERNAL_DEST._AIRBYTE_AB_ID
2022-07-13 00:43:31 normalization >         
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization >     
2022-07-13 00:43:31 normalization >     when matched then update set
2022-07-13 00:43:31 normalization >         "ID" = DBT_INTERNAL_SOURCE."ID","PORT_ID" = DBT_INTERNAL_SOURCE."PORT_ID","VISITED" = DBT_INTERNAL_SOURCE."VISITED","LATITUDE" = DBT_INTERNAL_SOURCE."LATITUDE","LONGITUDE" = DBT_INTERNAL_SOURCE."LONGITUDE","WAIT_TIME" = DBT_INTERNAL_SOURCE."WAIT_TIME","CREATED_AT" = DBT_INTERNAL_SOURCE."CREATED_AT","UPDATED_AT" = DBT_INTERNAL_SOURCE."UPDATED_AT","ARRIVAL_DATE" = DBT_INTERNAL_SOURCE."ARRIVAL_DATE","SPEED_PLAN_ID" = DBT_INTERNAL_SOURCE."SPEED_PLAN_ID","_AIRBYTE_AB_ID" = DBT_INTERNAL_SOURCE."_AIRBYTE_AB_ID","_AIRBYTE_EMITTED_AT" = DBT_INTERNAL_SOURCE."_AIRBYTE_EMITTED_AT","_AIRBYTE_NORMALIZED_AT" = DBT_INTERNAL_SOURCE."_AIRBYTE_NORMALIZED_AT","_AIRBYTE_SPEED_SPEEDPLANINPUTVIAPOINT_HASHID" = DBT_INTERNAL_SOURCE."_AIRBYTE_SPEED_SPEEDPLANINPUTVIAPOINT_HASHID"
2022-07-13 00:43:31 normalization >     
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization >     when not matched then insert
2022-07-13 00:43:31 normalization >         ("ID", "PORT_ID", "VISITED", "LATITUDE", "LONGITUDE", "WAIT_TIME", "CREATED_AT", "UPDATED_AT", "ARRIVAL_DATE", "SPEED_PLAN_ID", "_AIRBYTE_AB_ID", "_AIRBYTE_EMITTED_AT", "_AIRBYTE_NORMALIZED_AT", "_AIRBYTE_SPEED_SPEEDPLANINPUTVIAPOINT_HASHID")
2022-07-13 00:43:31 normalization >     values
2022-07-13 00:43:31 normalization >         ("ID", "PORT_ID", "VISITED", "LATITUDE", "LONGITUDE", "WAIT_TIME", "CREATED_AT", "UPDATED_AT", "ARRIVAL_DATE", "SPEED_PLAN_ID", "_AIRBYTE_AB_ID", "_AIRBYTE_EMITTED_AT", "_AIRBYTE_NORMALIZED_AT", "_AIRBYTE_SPEED_SPEEDPLANINPUTVIAPOINT_HASHID")
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization > ;
2022-07-13 00:43:31 normalization > 00:36:51.481169 [debug] [Thread-3  ]: SQL status: SUCCESS 76390 in 2.5 seconds
2022-07-13 00:43:31 normalization > 00:36:51.481593 [debug] [Thread-3  ]: Using snowflake connection "model.airbyte_utils.MT_SPEED_SCHEDULEDOPTIMIZATIONRESULT"
2022-07-13 00:43:31 normalization > 00:36:51.481860 [debug] [Thread-3  ]: On model.airbyte_utils.MT_SPEED_SCHEDULEDOPTIMIZATIONRESULT: commit;
2022-07-13 00:43:31 normalization > 00:36:51.721611 [debug] [Thread-1  ]: SQL status: SUCCESS 1 in 8.76 seconds
2022-07-13 00:43:31 normalization > 00:36:51.728065 [debug] [Thread-1  ]: Using snowflake connection "model.airbyte_utils.MT_SPEED_SPEEDNOTIFICATION"
2022-07-13 00:43:31 normalization > 00:36:51.728473 [debug] [Thread-1  ]: On model.airbyte_utils.MT_SPEED_SPEEDNOTIFICATION: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.MT_SPEED_SPEEDNOTIFICATION"} */
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization >     describe table "DEV_LANDING".MT."SPEED_SPEEDNOTIFICATION__dbt_tmp"
2022-07-13 00:43:31 normalization > 00:36:51.774584 [debug] [Thread-1  ]: SQL status: SUCCESS 20 in 0.05 seconds
2022-07-13 00:43:31 normalization > 00:36:51.784259 [debug] [Thread-1  ]: Using snowflake connection "model.airbyte_utils.MT_SPEED_SPEEDNOTIFICATION"
2022-07-13 00:43:31 normalization > 00:36:51.784649 [debug] [Thread-1  ]: On model.airbyte_utils.MT_SPEED_SPEEDNOTIFICATION: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.MT_SPEED_SPEEDNOTIFICATION"} */
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization >     describe table "DEV_LANDING".MT."SPEED_SPEEDNOTIFICATION"
2022-07-13 00:43:31 normalization > 00:36:51.790717 [debug] [Thread-3  ]: SQL status: SUCCESS 1 in 0.31 seconds
2022-07-13 00:43:31 normalization > 00:36:51.834682 [debug] [Thread-1  ]: SQL status: SUCCESS 20 in 0.05 seconds
2022-07-13 00:43:31 normalization > 00:36:51.849181 [debug] [Thread-3  ]: finished collecting timing info
2022-07-13 00:43:31 normalization > 00:36:51.857663 [debug] [Thread-1  ]: Using snowflake connection "model.airbyte_utils.MT_SPEED_SPEEDNOTIFICATION"
2022-07-13 00:43:31 normalization > 00:36:51.858154 [debug] [Thread-3  ]: On model.airbyte_utils.MT_SPEED_SCHEDULEDOPTIMIZATIONRESULT: Close
2022-07-13 00:43:31 normalization > 00:36:51.858556 [debug] [Thread-1  ]: On model.airbyte_utils.MT_SPEED_SPEEDNOTIFICATION: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.MT_SPEED_SPEEDNOTIFICATION"} */
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization >     describe table "DEV_LANDING".MT."SPEED_SPEEDNOTIFICATION__dbt_tmp"
2022-07-13 00:43:31 normalization > 00:36:51.943037 [debug] [Thread-1  ]: SQL status: SUCCESS 20 in 0.08 seconds
2022-07-13 00:43:31 normalization > 00:36:51.953536 [info ] [Thread-3  ]: 26 of 60 OK created incremental model MT.SPEED_SCHEDULEDOPTIMIZATIONRESULT.............................................. [SUCCESS 1 in 8.37s]
2022-07-13 00:43:31 normalization > 00:36:51.954911 [debug] [Thread-3  ]: Finished running node model.airbyte_utils.MT_SPEED_SCHEDULEDOPTIMIZATIONRESULT
2022-07-13 00:43:31 normalization > 00:36:51.955712 [debug] [Thread-3  ]: Began running node model.airbyte_utils.MT_SPEED_SPEEDPLANSEGMENT
2022-07-13 00:43:31 normalization > 00:36:51.956766 [info ] [Thread-3  ]: 28 of 60 START incremental model MT.SPEED_SPEEDPLANSEGMENT.............................................................. [RUN]
2022-07-13 00:43:31 normalization > 00:36:51.958711 [debug] [Thread-3  ]: Acquiring new snowflake connection "model.airbyte_utils.MT_SPEED_SPEEDPLANSEGMENT"
2022-07-13 00:43:31 normalization > 00:36:51.959239 [debug] [Thread-3  ]: Began compiling node model.airbyte_utils.MT_SPEED_SPEEDPLANSEGMENT
2022-07-13 00:43:31 normalization > 00:36:51.959713 [debug] [Thread-3  ]: Compiling model.airbyte_utils.MT_SPEED_SPEEDPLANSEGMENT
2022-07-13 00:43:31 normalization > 00:36:51.993777 [debug] [Thread-1  ]: Using snowflake connection "model.airbyte_utils.MT_SPEED_SPEEDNOTIFICATION"
2022-07-13 00:43:31 normalization > 00:36:52.005514 [debug] [Thread-1  ]: On model.airbyte_utils.MT_SPEED_SPEEDNOTIFICATION: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.MT_SPEED_SPEEDNOTIFICATION"} */
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization >     describe table "DEV_LANDING"."MT"."SPEED_SPEEDNOTIFICATION"
2022-07-13 00:43:31 normalization > 00:36:52.110482 [debug] [Thread-1  ]: SQL status: SUCCESS 20 in 0.1 seconds
2022-07-13 00:43:31 normalization > 00:36:52.120505 [debug] [Thread-3  ]: Using snowflake connection "model.airbyte_utils.MT_SPEED_SPEEDPLANSEGMENT"
2022-07-13 00:43:31 normalization > 00:36:52.126381 [debug] [Thread-3  ]: On model.airbyte_utils.MT_SPEED_SPEEDPLANSEGMENT: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.MT_SPEED_SPEEDPLANSEGMENT"} */
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization >     describe table "DEV_LANDING".MT."SPEED_SPEEDPLANSEGMENT"
2022-07-13 00:43:31 normalization > 00:36:52.127095 [debug] [Thread-3  ]: Opening a new connection, currently in state closed
2022-07-13 00:43:31 normalization > 00:36:52.131002 [debug] [Thread-1  ]: 
2022-07-13 00:43:31 normalization >     In "DEV_LANDING"."MT"."SPEED_SPEEDNOTIFICATION":
2022-07-13 00:43:31 normalization >         Schema changed: False
2022-07-13 00:43:31 normalization >         Source columns not in target: []
2022-07-13 00:43:31 normalization >         Target columns not in source: []
2022-07-13 00:43:31 normalization >         New column types: []
2022-07-13 00:43:31 normalization >   
2022-07-13 00:43:31 normalization > 00:36:52.139054 [debug] [Thread-1  ]: Writing runtime SQL for node "model.airbyte_utils.MT_SPEED_SPEEDNOTIFICATION"
2022-07-13 00:43:31 normalization > 00:36:52.142585 [debug] [Thread-1  ]: Using snowflake connection "model.airbyte_utils.MT_SPEED_SPEEDNOTIFICATION"
2022-07-13 00:43:31 normalization > 00:36:52.143070 [debug] [Thread-1  ]: On model.airbyte_utils.MT_SPEED_SPEEDNOTIFICATION: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.MT_SPEED_SPEEDNOTIFICATION"} */
2022-07-13 00:43:31 normalization > begin;
2022-07-13 00:43:31 normalization > 00:36:52.220713 [debug] [Thread-1  ]: SQL status: SUCCESS 1 in 0.08 seconds
2022-07-13 00:43:31 normalization > 00:36:52.221222 [debug] [Thread-1  ]: Using snowflake connection "model.airbyte_utils.MT_SPEED_SPEEDNOTIFICATION"
2022-07-13 00:43:31 normalization > 00:36:52.221492 [debug] [Thread-1  ]: On model.airbyte_utils.MT_SPEED_SPEEDNOTIFICATION: merge into "DEV_LANDING".MT."SPEED_SPEEDNOTIFICATION" as DBT_INTERNAL_DEST
2022-07-13 00:43:31 normalization >         using "DEV_LANDING".MT."SPEED_SPEEDNOTIFICATION__dbt_tmp" as DBT_INTERNAL_SOURCE
2022-07-13 00:43:31 normalization >         on 
2022-07-13 00:43:31 normalization >             DBT_INTERNAL_SOURCE._AIRBYTE_AB_ID = DBT_INTERNAL_DEST._AIRBYTE_AB_ID
2022-07-13 00:43:31 normalization >         
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization >     
2022-07-13 00:43:31 normalization >     when matched then update set
2022-07-13 00:43:31 normalization >         "ID" = DBT_INTERNAL_SOURCE."ID","DATE" = DBT_INTERNAL_SOURCE."DATE","VESSEL_ID" = DBT_INTERNAL_SOURCE."VESSEL_ID","CREATED_AT" = DBT_INTERNAL_SOURCE."CREATED_AT","UPDATED_AT" = DBT_INTERNAL_SOURCE."UPDATED_AT","ACTION_DATE" = DBT_INTERNAL_SOURCE."ACTION_DATE","ACTION_TYPE" = DBT_INTERNAL_SOURCE."ACTION_TYPE","VOYAGE_LEG_ID" = DBT_INTERNAL_SOURCE."VOYAGE_LEG_ID","ACTION_USER_ID" = DBT_INTERNAL_SOURCE."ACTION_USER_ID","DISMISSED_REASON" = DBT_INTERNAL_SOURCE."DISMISSED_REASON","DISMISSED_COMMENT" = DBT_INTERNAL_SOURCE."DISMISSED_COMMENT","NOTIFICATION_DATA" = DBT_INTERNAL_SOURCE."NOTIFICATION_DATA","NOTIFICATION_TYPE" = DBT_INTERNAL_SOURCE."NOTIFICATION_TYPE","NOTIFICATION_STATUS" = DBT_INTERNAL_SOURCE."NOTIFICATION_STATUS","NOTIFICATION_STATUS_DATE" = DBT_INTERNAL_SOURCE."NOTIFICATION_STATUS_DATE","NOTIFICATION_STATUS_USER_ID" = DBT_INTERNAL_SOURCE."NOTIFICATION_STATUS_USER_ID","_AIRBYTE_AB_ID" = DBT_INTERNAL_SOURCE."_AIRBYTE_AB_ID","_AIRBYTE_EMITTED_AT" = DBT_INTERNAL_SOURCE."_AIRBYTE_EMITTED_AT","_AIRBYTE_NORMALIZED_AT" = DBT_INTERNAL_SOURCE."_AIRBYTE_NORMALIZED_AT","_AIRBYTE_SPEED_SPEEDNOTIFICATION_HASHID" = DBT_INTERNAL_SOURCE."_AIRBYTE_SPEED_SPEEDNOTIFICATION_HASHID"
2022-07-13 00:43:31 normalization >     
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization >     when not matched then insert
2022-07-13 00:43:31 normalization >         ("ID", "DATE", "VESSEL_ID", "CREATED_AT", "UPDATED_AT", "ACTION_DATE", "ACTION_TYPE", "VOYAGE_LEG_ID", "ACTION_USER_ID", "DISMISSED_REASON", "DISMISSED_COMMENT", "NOTIFICATION_DATA", "NOTIFICATION_TYPE", "NOTIFICATION_STATUS", "NOTIFICATION_STATUS_DATE", "NOTIFICATION_STATUS_USER_ID", "_AIRBYTE_AB_ID", "_AIRBYTE_EMITTED_AT", "_AIRBYTE_NORMALIZED_AT", "_AIRBYTE_SPEED_SPEEDNOTIFICATION_HASHID")
2022-07-13 00:43:31 normalization >     values
2022-07-13 00:43:31 normalization >         ("ID", "DATE", "VESSEL_ID", "CREATED_AT", "UPDATED_AT", "ACTION_DATE", "ACTION_TYPE", "VOYAGE_LEG_ID", "ACTION_USER_ID", "DISMISSED_REASON", "DISMISSED_COMMENT", "NOTIFICATION_DATA", "NOTIFICATION_TYPE", "NOTIFICATION_STATUS", "NOTIFICATION_STATUS_DATE", "NOTIFICATION_STATUS_USER_ID", "_AIRBYTE_AB_ID", "_AIRBYTE_EMITTED_AT", "_AIRBYTE_NORMALIZED_AT", "_AIRBYTE_SPEED_SPEEDNOTIFICATION_HASHID")
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization > ;
2022-07-13 00:43:31 normalization > 00:36:52.734778 [debug] [Thread-5  ]: SQL status: SUCCESS 27920 in 2.01 seconds
2022-07-13 00:43:31 normalization > 00:36:52.735191 [debug] [Thread-5  ]: Using snowflake connection "model.airbyte_utils.MT_SPEED_SPEEDPLANINPUTVIAPOINT"
2022-07-13 00:43:31 normalization > 00:36:52.735463 [debug] [Thread-5  ]: On model.airbyte_utils.MT_SPEED_SPEEDPLANINPUTVIAPOINT: commit;
2022-07-13 00:43:31 normalization > 00:36:52.809351 [debug] [Thread-3  ]: SQL status: SUCCESS 33 in 0.68 seconds
2022-07-13 00:43:31 normalization > 00:36:52.884318 [debug] [Thread-3  ]: Using snowflake connection "model.airbyte_utils.MT_SPEED_SPEEDPLANSEGMENT"
2022-07-13 00:43:31 normalization > 00:36:52.884871 [debug] [Thread-3  ]: On model.airbyte_utils.MT_SPEED_SPEEDPLANSEGMENT: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.MT_SPEED_SPEEDPLANSEGMENT"} */
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization >     describe table "DEV_LANDING".MT."SPEED_SPEEDPLANSEGMENT"
2022-07-13 00:43:31 normalization > 00:36:52.886234 [debug] [Thread-5  ]: SQL status: SUCCESS 1 in 0.15 seconds
2022-07-13 00:43:31 normalization > 00:36:53.050568 [debug] [Thread-3  ]: SQL status: SUCCESS 33 in 0.16 seconds
2022-07-13 00:43:31 normalization > 00:36:53.053597 [debug] [Thread-5  ]: finished collecting timing info
2022-07-13 00:43:31 normalization > 00:36:53.060868 [debug] [Thread-3  ]: Using snowflake connection "model.airbyte_utils.MT_SPEED_SPEEDPLANSEGMENT"
2022-07-13 00:43:31 normalization > 00:36:53.061252 [debug] [Thread-5  ]: On model.airbyte_utils.MT_SPEED_SPEEDPLANINPUTVIAPOINT: Close
2022-07-13 00:43:31 normalization > 00:36:53.061611 [debug] [Thread-3  ]: On model.airbyte_utils.MT_SPEED_SPEEDPLANSEGMENT: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.MT_SPEED_SPEEDPLANSEGMENT"} */
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization >     
2022-07-13 00:43:31 normalization >         select max(cast(_AIRBYTE_EMITTED_AT as 
2022-07-13 00:43:31 normalization >     timestamp with time zone
2022-07-13 00:43:31 normalization > )) from "DEV_LANDING".MT."SPEED_SPEEDPLANSEGMENT"
2022-07-13 00:43:31 normalization > 00:36:53.213060 [info ] [Thread-5  ]: 27 of 60 OK created incremental model MT.SPEED_SPEEDPLANINPUTVIAPOINT................................................... [SUCCESS 1 in 6.66s]
2022-07-13 00:43:31 normalization > 00:36:53.214288 [debug] [Thread-5  ]: Finished running node model.airbyte_utils.MT_SPEED_SPEEDPLANINPUTVIAPOINT
2022-07-13 00:43:31 normalization > 00:36:53.214900 [debug] [Thread-5  ]: Began running node model.airbyte_utils.MT_SPEED_SPEEDPLANWARRANTEDSPEED
2022-07-13 00:43:31 normalization > 00:36:53.215821 [info ] [Thread-5  ]: 29 of 60 START incremental model MT.SPEED_SPEEDPLANWARRANTEDSPEED....................................................... [RUN]
2022-07-13 00:43:31 normalization > 00:36:53.217579 [debug] [Thread-5  ]: Acquiring new snowflake connection "model.airbyte_utils.MT_SPEED_SPEEDPLANWARRANTEDSPEED"
2022-07-13 00:43:31 normalization > 00:36:53.218031 [debug] [Thread-5  ]: Began compiling node model.airbyte_utils.MT_SPEED_SPEEDPLANWARRANTEDSPEED
2022-07-13 00:43:31 normalization > 00:36:53.218467 [debug] [Thread-5  ]: Compiling model.airbyte_utils.MT_SPEED_SPEEDPLANWARRANTEDSPEED
2022-07-13 00:43:31 normalization > 00:36:53.292662 [debug] [Thread-5  ]: Using snowflake connection "model.airbyte_utils.MT_SPEED_SPEEDPLANWARRANTEDSPEED"
2022-07-13 00:43:31 normalization > 00:36:53.293062 [debug] [Thread-5  ]: On model.airbyte_utils.MT_SPEED_SPEEDPLANWARRANTEDSPEED: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.MT_SPEED_SPEEDPLANWARRANTEDSPEED"} */
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization >     describe table "DEV_LANDING".MT."SPEED_SPEEDPLANWARRANTEDSPEED"
2022-07-13 00:43:31 normalization > 00:36:53.293325 [debug] [Thread-5  ]: Opening a new connection, currently in state closed
2022-07-13 00:43:31 normalization > 00:36:53.568052 [debug] [Thread-3  ]: SQL status: SUCCESS 1 in 0.5 seconds
2022-07-13 00:43:31 normalization > 00:36:53.661848 [debug] [Thread-3  ]: Using snowflake connection "model.airbyte_utils.MT_SPEED_SPEEDPLANSEGMENT"
2022-07-13 00:43:31 normalization > 00:36:53.662390 [debug] [Thread-3  ]: On model.airbyte_utils.MT_SPEED_SPEEDPLANSEGMENT: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.MT_SPEED_SPEEDPLANSEGMENT"} */
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization >     describe table "DEV_LANDING".MT."SPEED_SPEEDPLANSEGMENT"
2022-07-13 00:43:31 normalization > 00:36:53.723982 [debug] [Thread-3  ]: SQL status: SUCCESS 33 in 0.06 seconds
2022-07-13 00:43:31 normalization > 00:36:53.736866 [debug] [Thread-3  ]: Using snowflake connection "model.airbyte_utils.MT_SPEED_SPEEDPLANSEGMENT"
2022-07-13 00:43:31 normalization > 00:36:53.737772 [debug] [Thread-3  ]: On model.airbyte_utils.MT_SPEED_SPEEDPLANSEGMENT: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.MT_SPEED_SPEEDPLANSEGMENT"} */
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization >     
2022-07-13 00:43:31 normalization >         select max(cast(_AIRBYTE_EMITTED_AT as 
2022-07-13 00:43:31 normalization >     timestamp with time zone
2022-07-13 00:43:31 normalization > )) from "DEV_LANDING".MT."SPEED_SPEEDPLANSEGMENT"
2022-07-13 00:43:31 normalization > 00:36:53.799001 [debug] [Thread-3  ]: SQL status: SUCCESS 1 in 0.06 seconds
2022-07-13 00:43:31 normalization > 00:36:53.821973 [debug] [Thread-3  ]: Writing injected SQL for node "model.airbyte_utils.MT_SPEED_SPEEDPLANSEGMENT"
2022-07-13 00:43:31 normalization > 00:36:53.822685 [debug] [Thread-3  ]: finished collecting timing info
2022-07-13 00:43:31 normalization > 00:36:53.823051 [debug] [Thread-3  ]: Began executing node model.airbyte_utils.MT_SPEED_SPEEDPLANSEGMENT
2022-07-13 00:43:31 normalization > 00:36:53.832207 [debug] [Thread-3  ]: Using snowflake connection "model.airbyte_utils.MT_SPEED_SPEEDPLANSEGMENT"
2022-07-13 00:43:31 normalization > 00:36:53.832609 [debug] [Thread-3  ]: On model.airbyte_utils.MT_SPEED_SPEEDPLANSEGMENT: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.MT_SPEED_SPEEDPLANSEGMENT"} */
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization >     describe table "DEV_LANDING".MT."SPEED_SPEEDPLANSEGMENT"
2022-07-13 00:43:31 normalization > 00:36:53.885731 [debug] [Thread-3  ]: SQL status: SUCCESS 33 in 0.05 seconds
2022-07-13 00:43:31 normalization > 00:36:53.893656 [debug] [Thread-5  ]: SQL status: SUCCESS 11 in 0.6 seconds
2022-07-13 00:43:31 normalization > 00:36:54.060919 [debug] [Thread-3  ]: Using snowflake connection "model.airbyte_utils.MT_SPEED_SPEEDPLANSEGMENT"
2022-07-13 00:43:31 normalization > 00:36:54.064987 [debug] [Thread-5  ]: Using snowflake connection "model.airbyte_utils.MT_SPEED_SPEEDPLANWARRANTEDSPEED"
2022-07-13 00:43:31 normalization > 00:36:54.065493 [debug] [Thread-3  ]: On model.airbyte_utils.MT_SPEED_SPEEDPLANSEGMENT: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.MT_SPEED_SPEEDPLANSEGMENT"} */
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization >     
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization >       create or replace temporary table "DEV_LANDING".MT."SPEED_SPEEDPLANSEGMENT__dbt_tmp"  as
2022-07-13 00:43:31 normalization >       (select * from(
2022-07-13 00:43:31 normalization >             
2022-07-13 00:43:31 normalization > with __dbt__cte___AIRBYTE_MT_SPEED_SPEEDPLANSEGMENT_AB1 as (
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema
2022-07-13 00:43:31 normalization > -- depends_on: "DEV_LANDING".MT._AIRBYTE_RAW_SPEED_SPEEDPLANSEGMENT
2022-07-13 00:43:31 normalization > select
2022-07-13 00:43:31 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"id"')) as ID,
2022-07-13 00:43:31 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"speed"')) as SPEED,
2022-07-13 00:43:31 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"azimuth"')) as AZIMUTH,
2022-07-13 00:43:31 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"beaufort"')) as BEAUFORT,
2022-07-13 00:43:31 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"distance"')) as DISTANCE,
2022-07-13 00:43:31 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"duration"')) as DURATION,
2022-07-13 00:43:31 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"created_at"')) as CREATED_AT,
2022-07-13 00:43:31 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"updated_at"')) as UPDATED_AT,
2022-07-13 00:43:31 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"bunker_zone"')) as BUNKER_ZONE,
2022-07-13 00:43:31 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"consumption"')) as CONSUMPTION,
2022-07-13 00:43:31 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"fixed_speed"')) as FIXED_SPEED,
2022-07-13 00:43:31 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"manoeuvring"')) as MANOEUVRING,
2022-07-13 00:43:31 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"swell_height"')) as SWELL_HEIGHT,
2022-07-13 00:43:31 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"swell_period"')) as SWELL_PERIOD,
2022-07-13 00:43:31 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"speed_plan_id"')) as SPEED_PLAN_ID,
2022-07-13 00:43:31 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"wind_force_ms"')) as WIND_FORCE_MS,
2022-07-13 00:43:31 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"center_as_json"')) as CENTER_AS_JSON,
2022-07-13 00:43:31 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"wind_direction"')) as WIND_DIRECTION,
2022-07-13 00:43:31 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"fixed_wait_time"')) as FIXED_WAIT_TIME,
2022-07-13 00:43:31 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"swell_direction"')) as SWELL_DIRECTION,
2022-07-13 00:43:31 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"sea_current_speed"')) as SEA_CURRENT_SPEED,
2022-07-13 00:43:31 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"waypoints_as_json"')) as WAYPOINTS_AS_JSON,
2022-07-13 00:43:31 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"fixed_arrival_time"')) as FIXED_ARRIVAL_TIME,
2022-07-13 00:43:31 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"sea_current_impact"')) as SEA_CURRENT_IMPACT,
2022-07-13 00:43:31 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"speed_through_water"')) as SPEED_THROUGH_WATER,
2022-07-13 00:43:31 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"sea_current_direction"')) as SEA_CURRENT_DIRECTION,
2022-07-13 00:43:31 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"primary_wave_direction"')) as PRIMARY_WAVE_DIRECTION,
2022-07-13 00:43:31 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"significant_wave_height"')) as SIGNIFICANT_WAVE_HEIGHT,
2022-07-13 00:43:31 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"speed_constraint_violated"')) as SPEED_CONSTRAINT_VIOLATED,
2022-07-13 00:43:31 normalization >     _AIRBYTE_AB_ID,
2022-07-13 00:43:31 normalization >     _AIRBYTE_EMITTED_AT,
2022-07-13 00:43:31 normalization >     convert_timezone('UTC', current_timestamp()) as _AIRBYTE_NORMALIZED_AT
2022-07-13 00:43:31 normalization > from "DEV_LANDING".MT._AIRBYTE_RAW_SPEED_SPEEDPLANSEGMENT as table_alias
2022-07-13 00:43:31 normalization > -- SPEED_SPEEDPLANSEGMENT
2022-07-13 00:43:31 normalization > where 1 = 1
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization > ),  __dbt__cte___AIRBYTE_MT_SPEED_SPEEDPLANSEGMENT_AB2 as (
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type
2022-07-13 00:43:31 normalization > -- depends_on: __dbt__cte___AIRBYTE_MT_SPEED_SPEEDPLANSEGMENT_AB1
2022-07-13 00:43:31 normalization > select
2022-07-13 00:43:31 normalization >     cast(ID as 
2022-07-13 00:43:31 normalization >     float
2022-07-13 00:43:31 normalization > ) as ID,
2022-07-13 00:43:31 normalization >     cast(SPEED as 
2022-07-13 00:43:31 normalization >     float
2022-07-13 00:43:31 normalization > ) as SPEED,
2022-07-13 00:43:31 normalization >     cast(AZIMUTH as 
2022-07-13 00:43:31 normalization >     float
2022-07-13 00:43:31 normalization > ) as AZIMUTH,
2022-07-13 00:43:31 normalization >     cast(BEAUFORT as 
2022-07-13 00:43:31 normalization >     float
2022-07-13 00:43:31 normalization > ) as BEAUFORT,
2022-07-13 00:43:31 normalization >     cast(DISTANCE as 
2022-07-13 00:43:31 normalization >     float
2022-07-13 00:43:31 normalization > ) as DISTANCE,
2022-07-13 00:43:31 normalization >     cast(DURATION as 
2022-07-13 00:43:31 normalization >     varchar
2022-07-13 00:43:31 normalization > ) as DURATION,
2022-07-13 00:43:31 normalization >     case
2022-07-13 00:43:31 normalization >         when CREATED_AT regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}(\\+|-)\\d{4}' then to_timestamp_tz(CREATED_AT, 'YYYY-MM-DDTHH24:MI:SSTZHTZM')
2022-07-13 00:43:31 normalization >         when CREATED_AT regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}(\\+|-)\\d{2}' then to_timestamp_tz(CREATED_AT, 'YYYY-MM-DDTHH24:MI:SSTZH')
2022-07-13 00:43:31 normalization >         when CREATED_AT regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}\\.\\d{1,7}(\\+|-)\\d{4}' then to_timestamp_tz(CREATED_AT, 'YYYY-MM-DDTHH24:MI:SS.FFTZHTZM')
2022-07-13 00:43:31 normalization >         when CREATED_AT regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}\\.\\d{1,7}(\\+|-)\\d{2}' then to_timestamp_tz(CREATED_AT, 'YYYY-MM-DDTHH24:MI:SS.FFTZH')
2022-07-13 00:43:31 normalization >         when CREATED_AT = '' then NULL
2022-07-13 00:43:31 normalization >     else to_timestamp_tz(CREATED_AT)
2022-07-13 00:43:31 normalization >     end as CREATED_AT
2022-07-13 00:43:31 normalization >     ,
2022-07-13 00:43:31 normalization >     case
2022-07-13 00:43:31 normalization >         when UPDATED_AT regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}(\\+|-)\\d{4}' then to_timestamp_tz(UPDATED_AT, 'YYYY-MM-DDTHH24:MI:SSTZHTZM')
2022-07-13 00:43:31 normalization >         when UPDATED_AT regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}(\\+|-)\\d{2}' then to_timestamp_tz(UPDATED_AT, 'YYYY-MM-DDTHH24:MI:SSTZH')
2022-07-13 00:43:31 normalization >         when UPDATED_AT regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}\\.\\d{1,7}(\\+|-)\\d{4}' then to_timestamp_tz(UPDATED_AT, 'YYYY-MM-DDTHH24:MI:SS.FFTZHTZM')
2022-07-13 00:43:31 normalization >         when UPDATED_AT regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}\\.\\d{1,7}(\\+|-)\\d{2}' then to_timestamp_tz(UPDATED_AT, 'YYYY-MM-DDTHH24:MI:SS.FFTZH')
2022-07-13 00:43:31 normalization >         when UPDATED_AT = '' then NULL
2022-07-13 00:43:31 normalization >     else to_timestamp_tz(UPDATED_AT)
2022-07-13 00:43:31 normalization >     end as UPDATED_AT
2022-07-13 00:43:31 normalization >     ,
2022-07-13 00:43:31 normalization >     cast(BUNKER_ZONE as 
2022-07-13 00:43:31 normalization >     float
2022-07-13 00:43:31 normalization > ) as BUNKER_ZONE,
2022-07-13 00:43:31 normalization >     cast(CONSUMPTION as 
2022-07-13 00:43:31 normalization >     float
2022-07-13 00:43:31 normalization > ) as CONSUMPTION,
2022-07-13 00:43:31 normalization >     cast(FIXED_SPEED as 
2022-07-13 00:43:31 normalization >     float
2022-07-13 00:43:31 normalization > ) as FIXED_SPEED,
2022-07-13 00:43:31 normalization >     cast(MANOEUVRING as boolean) as MANOEUVRING,
2022-07-13 00:43:31 normalization >     cast(SWELL_HEIGHT as 
2022-07-13 00:43:31 normalization >     float
2022-07-13 00:43:31 normalization > ) as SWELL_HEIGHT,
2022-07-13 00:43:31 normalization >     cast(SWELL_PERIOD as 
2022-07-13 00:43:31 normalization >     float
2022-07-13 00:43:31 normalization > ) as SWELL_PERIOD,
2022-07-13 00:43:31 normalization >     cast(SPEED_PLAN_ID as 
2022-07-13 00:43:31 normalization >     float
2022-07-13 00:43:31 normalization > ) as SPEED_PLAN_ID,
2022-07-13 00:43:31 normalization >     cast(WIND_FORCE_MS as 
2022-07-13 00:43:31 normalization >     float
2022-07-13 00:43:31 normalization > ) as WIND_FORCE_MS,
2022-07-13 00:43:31 normalization >     cast(CENTER_AS_JSON as 
2022-07-13 00:43:31 normalization >     varchar
2022-07-13 00:43:31 normalization > ) as CENTER_AS_JSON,
2022-07-13 00:43:31 normalization >     cast(WIND_DIRECTION as 
2022-07-13 00:43:31 normalization >     float
2022-07-13 00:43:31 normalization > ) as WIND_DIRECTION,
2022-07-13 00:43:31 normalization >     cast(FIXED_WAIT_TIME as 
2022-07-13 00:43:31 normalization >     float
2022-07-13 00:43:31 normalization > ) as FIXED_WAIT_TIME,
2022-07-13 00:43:31 normalization >     cast(SWELL_DIRECTION as 
2022-07-13 00:43:31 normalization >     float
2022-07-13 00:43:31 normalization > ) as SWELL_DIRECTION,
2022-07-13 00:43:31 normalization >     cast(SEA_CURRENT_SPEED as 
2022-07-13 00:43:31 normalization >     float
2022-07-13 00:43:31 normalization > ) as SEA_CURRENT_SPEED,
2022-07-13 00:43:31 normalization >     cast(WAYPOINTS_AS_JSON as 
2022-07-13 00:43:31 normalization >     varchar
2022-07-13 00:43:31 normalization > ) as WAYPOINTS_AS_JSON,
2022-07-13 00:43:31 normalization >     case
2022-07-13 00:43:31 normalization >         when FIXED_ARRIVAL_TIME regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}(\\+|-)\\d{4}' then to_timestamp_tz(FIXED_ARRIVAL_TIME, 'YYYY-MM-DDTHH24:MI:SSTZHTZM')
2022-07-13 00:43:31 normalization >         when FIXED_ARRIVAL_TIME regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}(\\+|-)\\d{2}' then to_timestamp_tz(FIXED_ARRIVAL_TIME, 'YYYY-MM-DDTHH24:MI:SSTZH')
2022-07-13 00:43:31 normalization >         when FIXED_ARRIVAL_TIME regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}\\.\\d{1,7}(\\+|-)\\d{4}' then to_timestamp_tz(FIXED_ARRIVAL_TIME, 'YYYY-MM-DDTHH24:MI:SS.FFTZHTZM')
2022-07-13 00:43:31 normalization >         when FIXED_ARRIVAL_TIME regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}\\.\\d{1,7}(\\+|-)\\d{2}' then to_timestamp_tz(FIXED_ARRIVAL_TIME, 'YYYY-MM-DDTHH24:MI:SS.FFTZH')
2022-07-13 00:43:31 normalization >         when FIXED_ARRIVAL_TIME = '' then NULL
2022-07-13 00:43:31 normalization >     else to_timestamp_tz(FIXED_ARRIVAL_TIME)
2022-07-13 00:43:31 normalization >     end as FIXED_ARRIVAL_TIME
2022-07-13 00:43:31 normalization >     ,
2022-07-13 00:43:31 normalization >     cast(SEA_CURRENT_IMPACT as 
2022-07-13 00:43:31 normalization >     float
2022-07-13 00:43:31 normalization > ) as SEA_CURRENT_IMPACT,
2022-07-13 00:43:31 normalization >     cast(SPEED_THROUGH_WATER as 
2022-07-13 00:43:31 normalization >     float
2022-07-13 00:43:31 normalization > ) as SPEED_THROUGH_WATER,
2022-07-13 00:43:31 normalization >     cast(SEA_CURRENT_DIRECTION as 
2022-07-13 00:43:31 normalization >     float
2022-07-13 00:43:31 normalization > ) as SEA_CURRENT_DIRECTION,
2022-07-13 00:43:31 normalization >     cast(PRIMARY_WAVE_DIRECTION as 
2022-07-13 00:43:31 normalization >     float
2022-07-13 00:43:31 normalization > ) as PRIMARY_WAVE_DIRECTION,
2022-07-13 00:43:31 normalization >     cast(SIGNIFICANT_WAVE_HEIGHT as 
2022-07-13 00:43:31 normalization >     float
2022-07-13 00:43:31 normalization > ) as SIGNIFICANT_WAVE_HEIGHT,
2022-07-13 00:43:31 normalization >     cast(SPEED_CONSTRAINT_VIOLATED as boolean) as SPEED_CONSTRAINT_VIOLATED,
2022-07-13 00:43:31 normalization >     _AIRBYTE_AB_ID,
2022-07-13 00:43:31 normalization >     _AIRBYTE_EMITTED_AT,
2022-07-13 00:43:31 normalization >     convert_timezone('UTC', current_timestamp()) as _AIRBYTE_NORMALIZED_AT
2022-07-13 00:43:31 normalization > from __dbt__cte___AIRBYTE_MT_SPEED_SPEEDPLANSEGMENT_AB1
2022-07-13 00:43:31 normalization > -- SPEED_SPEEDPLANSEGMENT
2022-07-13 00:43:31 normalization > where 1 = 1
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization > ),  __dbt__cte___AIRBYTE_MT_SPEED_SPEEDPLANSEGMENT_AB3 as (
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization > -- SQL model to build a hash column based on the values of this record
2022-07-13 00:43:31 normalization > -- depends_on: __dbt__cte___AIRBYTE_MT_SPEED_SPEEDPLANSEGMENT_AB2
2022-07-13 00:43:31 normalization > select
2022-07-13 00:43:31 normalization >     md5(cast(coalesce(cast(ID as 
2022-07-13 00:43:31 normalization >     varchar
2022-07-13 00:43:31 normalization > ), '') || '-' || coalesce(cast(SPEED as 
2022-07-13 00:43:31 normalization >     varchar
2022-07-13 00:43:31 normalization > ), '') || '-' || coalesce(cast(AZIMUTH as 
2022-07-13 00:43:31 normalization >     varchar
2022-07-13 00:43:31 normalization > ), '') || '-' || coalesce(cast(BEAUFORT as 
2022-07-13 00:43:31 normalization >     varchar
2022-07-13 00:43:31 normalization > ), '') || '-' || coalesce(cast(DISTANCE as 
2022-07-13 00:43:31 normalization >     varchar
2022-07-13 00:43:31 normalization > ), '') || '-' || coalesce(cast(DURATION as 
2022-07-13 00:43:31 normalization >     varchar
2022-07-13 00:43:31 normalization > ), '') || '-' || coalesce(cast(CREATED_AT as 
2022-07-13 00:43:31 normalization >     varchar
2022-07-13 00:43:31 normalization > ), '') || '-' || coalesce(cast(UPDATED_AT as 
2022-07-13 00:43:31 normalization >     varchar
2022-07-13 00:43:31 normalization > ), '') || '-' || coalesce(cast(BUNKER_ZONE as 
2022-07-13 00:43:31 normalization >     varchar
2022-07-13 00:43:31 normalization > ), '') || '-' || coalesce(cast(CONSUMPTION as 
2022-07-13 00:43:31 normalization >     varchar
2022-07-13 00:43:31 normalization > ), '') || '-' || coalesce(cast(FIXED_SPEED as 
2022-07-13 00:43:31 normalization >     varchar
2022-07-13 00:43:31 normalization > ), '') || '-' || coalesce(cast(MANOEUVRING as 
2022-07-13 00:43:31 normalization >     varchar
2022-07-13 00:43:31 normalization > ), '') || '-' || coalesce(cast(SWELL_HEIGHT as 
2022-07-13 00:43:31 normalization >     varchar
2022-07-13 00:43:31 normalization > ), '') || '-' || coalesce(cast(SWELL_PERIOD as 
2022-07-13 00:43:31 normalization >     varchar
2022-07-13 00:43:31 normalization > ), '') || '-' || coalesce(cast(SPEED_PLAN_ID as 
2022-07-13 00:43:31 normalization >     varchar
2022-07-13 00:43:31 normalization > ), '') || '-' || coalesce(cast(WIND_FORCE_MS as 
2022-07-13 00:43:31 normalization >     varchar
2022-07-13 00:43:31 normalization > ), '') || '-' || coalesce(cast(CENTER_AS_JSON as 
2022-07-13 00:43:31 normalization >     varchar
2022-07-13 00:43:31 normalization > ), '') || '-' || coalesce(cast(WIND_DIRECTION as 
2022-07-13 00:43:31 normalization >     varchar
2022-07-13 00:43:31 normalization > ), '') || '-' || coalesce(cast(FIXED_WAIT_TIME as 
2022-07-13 00:43:31 normalization >     varchar
2022-07-13 00:43:31 normalization > ), '') || '-' || coalesce(cast(SWELL_DIRECTION as 
2022-07-13 00:43:31 normalization >     varchar
2022-07-13 00:43:31 normalization > ), '') || '-' || coalesce(cast(SEA_CURRENT_SPEED as 
2022-07-13 00:43:31 normalization >     varchar
2022-07-13 00:43:31 normalization > ), '') || '-' || coalesce(cast(WAYPOINTS_AS_JSON as 
2022-07-13 00:43:31 normalization >     varchar
2022-07-13 00:43:31 normalization > ), '') || '-' || coalesce(cast(FIXED_ARRIVAL_TIME as 
2022-07-13 00:43:31 normalization >     varchar
2022-07-13 00:43:31 normalization > ), '') || '-' || coalesce(cast(SEA_CURRENT_IMPACT as 
2022-07-13 00:43:31 normalization >     varchar
2022-07-13 00:43:31 normalization > ), '') || '-' || coalesce(cast(SPEED_THROUGH_WATER as 
2022-07-13 00:43:31 normalization >     varchar
2022-07-13 00:43:31 normalization > ), '') || '-' || coalesce(cast(SEA_CURRENT_DIRECTION as 
2022-07-13 00:43:31 normalization >     varchar
2022-07-13 00:43:31 normalization > ), '') || '-' || coalesce(cast(PRIMARY_WAVE_DIRECTION as 
2022-07-13 00:43:31 normalization >     varchar
2022-07-13 00:43:31 normalization > ), '') || '-' || coalesce(cast(SIGNIFICANT_WAVE_HEIGHT as 
2022-07-13 00:43:31 normalization >     varchar
2022-07-13 00:43:31 normalization > ), '') || '-' || coalesce(cast(SPEED_CONSTRAINT_VIOLATED as 
2022-07-13 00:43:31 normalization >     varchar
2022-07-13 00:43:31 normalization > ), '') as 
2022-07-13 00:43:31 normalization >     varchar
2022-07-13 00:43:31 normalization > )) as _AIRBYTE_SPEED_SPEEDPLANSEGMENT_HASHID,
2022-07-13 00:43:31 normalization >     tmp.*
2022-07-13 00:43:31 normalization > from __dbt__cte___AIRBYTE_MT_SPEED_SPEEDPLANSEGMENT_AB2 tmp
2022-07-13 00:43:31 normalization > -- SPEED_SPEEDPLANSEGMENT
2022-07-13 00:43:31 normalization > where 1 = 1
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization > )-- Final base SQL model
2022-07-13 00:43:31 normalization > -- depends_on: __dbt__cte___AIRBYTE_MT_SPEED_SPEEDPLANSEGMENT_AB3
2022-07-13 00:43:31 normalization > select
2022-07-13 00:43:31 normalization >     ID,
2022-07-13 00:43:31 normalization >     SPEED,
2022-07-13 00:43:31 normalization >     AZIMUTH,
2022-07-13 00:43:31 normalization >     BEAUFORT,
2022-07-13 00:43:31 normalization >     DISTANCE,
2022-07-13 00:43:31 normalization >     DURATION,
2022-07-13 00:43:31 normalization >     CREATED_AT,
2022-07-13 00:43:31 normalization >     UPDATED_AT,
2022-07-13 00:43:31 normalization >     BUNKER_ZONE,
2022-07-13 00:43:31 normalization >     CONSUMPTION,
2022-07-13 00:43:31 normalization >     FIXED_SPEED,
2022-07-13 00:43:31 normalization >     MANOEUVRING,
2022-07-13 00:43:31 normalization >     SWELL_HEIGHT,
2022-07-13 00:43:31 normalization >     SWELL_PERIOD,
2022-07-13 00:43:31 normalization >     SPEED_PLAN_ID,
2022-07-13 00:43:31 normalization >     WIND_FORCE_MS,
2022-07-13 00:43:31 normalization >     CENTER_AS_JSON,
2022-07-13 00:43:31 normalization >     WIND_DIRECTION,
2022-07-13 00:43:31 normalization >     FIXED_WAIT_TIME,
2022-07-13 00:43:31 normalization >     SWELL_DIRECTION,
2022-07-13 00:43:31 normalization >     SEA_CURRENT_SPEED,
2022-07-13 00:43:31 normalization >     WAYPOINTS_AS_JSON,
2022-07-13 00:43:31 normalization >     FIXED_ARRIVAL_TIME,
2022-07-13 00:43:31 normalization >     SEA_CURRENT_IMPACT,
2022-07-13 00:43:31 normalization >     SPEED_THROUGH_WATER,
2022-07-13 00:43:31 normalization >     SEA_CURRENT_DIRECTION,
2022-07-13 00:43:31 normalization >     PRIMARY_WAVE_DIRECTION,
2022-07-13 00:43:31 normalization >     SIGNIFICANT_WAVE_HEIGHT,
2022-07-13 00:43:31 normalization >     SPEED_CONSTRAINT_VIOLATED,
2022-07-13 00:43:31 normalization >     _AIRBYTE_AB_ID,
2022-07-13 00:43:31 normalization >     _AIRBYTE_EMITTED_AT,
2022-07-13 00:43:31 normalization >     convert_timezone('UTC', current_timestamp()) as _AIRBYTE_NORMALIZED_AT,
2022-07-13 00:43:31 normalization >     _AIRBYTE_SPEED_SPEEDPLANSEGMENT_HASHID
2022-07-13 00:43:31 normalization > from __dbt__cte___AIRBYTE_MT_SPEED_SPEEDPLANSEGMENT_AB3
2022-07-13 00:43:31 normalization > -- SPEED_SPEEDPLANSEGMENT from "DEV_LANDING".MT._AIRBYTE_RAW_SPEED_SPEEDPLANSEGMENT
2022-07-13 00:43:31 normalization > where 1 = 1
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization >     
2022-07-13 00:43:31 normalization > and cast(_AIRBYTE_EMITTED_AT as 
2022-07-13 00:43:31 normalization >     timestamp with time zone
2022-07-13 00:43:31 normalization > ) >=
2022-07-13 00:43:31 normalization >     cast('2022-07-12 17:47:22.629000-07:00' as 
2022-07-13 00:43:31 normalization >     timestamp with time zone
2022-07-13 00:43:31 normalization > )
2022-07-13 00:43:31 normalization >     
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization >             ) order by (_AIRBYTE_EMITTED_AT)
2022-07-13 00:43:31 normalization >       );
2022-07-13 00:43:31 normalization > 00:36:54.065867 [debug] [Thread-5  ]: On model.airbyte_utils.MT_SPEED_SPEEDPLANWARRANTEDSPEED: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.MT_SPEED_SPEEDPLANWARRANTEDSPEED"} */
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization >     describe table "DEV_LANDING".MT."SPEED_SPEEDPLANWARRANTEDSPEED"
2022-07-13 00:43:31 normalization > 00:36:54.143938 [debug] [Thread-5  ]: SQL status: SUCCESS 11 in 0.08 seconds
2022-07-13 00:43:31 normalization > 00:36:54.148724 [debug] [Thread-5  ]: Using snowflake connection "model.airbyte_utils.MT_SPEED_SPEEDPLANWARRANTEDSPEED"
2022-07-13 00:43:31 normalization > 00:36:54.149069 [debug] [Thread-5  ]: On model.airbyte_utils.MT_SPEED_SPEEDPLANWARRANTEDSPEED: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.MT_SPEED_SPEEDPLANWARRANTEDSPEED"} */
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization >     
2022-07-13 00:43:31 normalization >         select max(cast(_AIRBYTE_EMITTED_AT as 
2022-07-13 00:43:31 normalization >     timestamp with time zone
2022-07-13 00:43:31 normalization > )) from "DEV_LANDING".MT."SPEED_SPEEDPLANWARRANTEDSPEED"
2022-07-13 00:43:31 normalization > 00:36:54.531272 [debug] [Thread-5  ]: SQL status: SUCCESS 1 in 0.38 seconds
2022-07-13 00:43:31 normalization > 00:36:54.602856 [debug] [Thread-5  ]: Using snowflake connection "model.airbyte_utils.MT_SPEED_SPEEDPLANWARRANTEDSPEED"
2022-07-13 00:43:31 normalization > 00:36:54.603240 [debug] [Thread-5  ]: On model.airbyte_utils.MT_SPEED_SPEEDPLANWARRANTEDSPEED: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.MT_SPEED_SPEEDPLANWARRANTEDSPEED"} */
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization >     describe table "DEV_LANDING".MT."SPEED_SPEEDPLANWARRANTEDSPEED"
2022-07-13 00:43:31 normalization > 00:36:54.643921 [debug] [Thread-5  ]: SQL status: SUCCESS 11 in 0.04 seconds
2022-07-13 00:43:31 normalization > 00:36:54.648205 [debug] [Thread-5  ]: Using snowflake connection "model.airbyte_utils.MT_SPEED_SPEEDPLANWARRANTEDSPEED"
2022-07-13 00:43:31 normalization > 00:36:54.648530 [debug] [Thread-5  ]: On model.airbyte_utils.MT_SPEED_SPEEDPLANWARRANTEDSPEED: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.MT_SPEED_SPEEDPLANWARRANTEDSPEED"} */
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization >     
2022-07-13 00:43:31 normalization >         select max(cast(_AIRBYTE_EMITTED_AT as 
2022-07-13 00:43:31 normalization >     timestamp with time zone
2022-07-13 00:43:31 normalization > )) from "DEV_LANDING".MT."SPEED_SPEEDPLANWARRANTEDSPEED"
2022-07-13 00:43:31 normalization > 00:36:54.692375 [debug] [Thread-5  ]: SQL status: SUCCESS 1 in 0.04 seconds
2022-07-13 00:43:31 normalization > 00:36:54.706394 [debug] [Thread-5  ]: Writing injected SQL for node "model.airbyte_utils.MT_SPEED_SPEEDPLANWARRANTEDSPEED"
2022-07-13 00:43:31 normalization > 00:36:54.707142 [debug] [Thread-5  ]: finished collecting timing info
2022-07-13 00:43:31 normalization > 00:36:54.707473 [debug] [Thread-5  ]: Began executing node model.airbyte_utils.MT_SPEED_SPEEDPLANWARRANTEDSPEED
2022-07-13 00:43:31 normalization > 00:36:54.717584 [debug] [Thread-5  ]: Using snowflake connection "model.airbyte_utils.MT_SPEED_SPEEDPLANWARRANTEDSPEED"
2022-07-13 00:43:31 normalization > 00:36:54.718152 [debug] [Thread-5  ]: On model.airbyte_utils.MT_SPEED_SPEEDPLANWARRANTEDSPEED: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.MT_SPEED_SPEEDPLANWARRANTEDSPEED"} */
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization >     describe table "DEV_LANDING".MT."SPEED_SPEEDPLANWARRANTEDSPEED"
2022-07-13 00:43:31 normalization > 00:36:54.761669 [debug] [Thread-5  ]: SQL status: SUCCESS 11 in 0.04 seconds
2022-07-13 00:43:31 normalization > 00:36:54.835345 [debug] [Thread-5  ]: Using snowflake connection "model.airbyte_utils.MT_SPEED_SPEEDPLANWARRANTEDSPEED"
2022-07-13 00:43:31 normalization > 00:36:54.835758 [debug] [Thread-5  ]: On model.airbyte_utils.MT_SPEED_SPEEDPLANWARRANTEDSPEED: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.MT_SPEED_SPEEDPLANWARRANTEDSPEED"} */
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization >     
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization >       create or replace temporary table "DEV_LANDING".MT."SPEED_SPEEDPLANWARRANTEDSPEED__dbt_tmp"  as
2022-07-13 00:43:31 normalization >       (select * from(
2022-07-13 00:43:31 normalization >             
2022-07-13 00:43:31 normalization > with __dbt__cte___AIRBYTE_MT_SPEED_SPEEDPLANWARRANTEDSPEED_AB1 as (
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema
2022-07-13 00:43:31 normalization > -- depends_on: "DEV_LANDING".MT._AIRBYTE_RAW_SPEED_SPEEDPLANWARRANTEDSPEED
2022-07-13 00:43:31 normalization > select
2022-07-13 00:43:31 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"id"')) as ID,
2022-07-13 00:43:31 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"speed"')) as SPEED,
2022-07-13 00:43:31 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"created_at"')) as CREATED_AT,
2022-07-13 00:43:31 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"updated_at"')) as UPDATED_AT,
2022-07-13 00:43:31 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"consumption"')) as CONSUMPTION,
2022-07-13 00:43:31 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"speed_plan_id"')) as SPEED_PLAN_ID,
2022-07-13 00:43:31 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"speed_variant"')) as SPEED_VARIANT,
2022-07-13 00:43:31 normalization >     _AIRBYTE_AB_ID,
2022-07-13 00:43:31 normalization >     _AIRBYTE_EMITTED_AT,
2022-07-13 00:43:31 normalization >     convert_timezone('UTC', current_timestamp()) as _AIRBYTE_NORMALIZED_AT
2022-07-13 00:43:31 normalization > from "DEV_LANDING".MT._AIRBYTE_RAW_SPEED_SPEEDPLANWARRANTEDSPEED as table_alias
2022-07-13 00:43:31 normalization > -- SPEED_SPEEDPLANWARRANTEDSPEED
2022-07-13 00:43:31 normalization > where 1 = 1
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization > ),  __dbt__cte___AIRBYTE_MT_SPEED_SPEEDPLANWARRANTEDSPEED_AB2 as (
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type
2022-07-13 00:43:31 normalization > -- depends_on: __dbt__cte___AIRBYTE_MT_SPEED_SPEEDPLANWARRANTEDSPEED_AB1
2022-07-13 00:43:31 normalization > select
2022-07-13 00:43:31 normalization >     cast(ID as 
2022-07-13 00:43:31 normalization >     float
2022-07-13 00:43:31 normalization > ) as ID,
2022-07-13 00:43:31 normalization >     cast(SPEED as 
2022-07-13 00:43:31 normalization >     float
2022-07-13 00:43:31 normalization > ) as SPEED,
2022-07-13 00:43:31 normalization >     case
2022-07-13 00:43:31 normalization >         when CREATED_AT regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}(\\+|-)\\d{4}' then to_timestamp_tz(CREATED_AT, 'YYYY-MM-DDTHH24:MI:SSTZHTZM')
2022-07-13 00:43:31 normalization >         when CREATED_AT regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}(\\+|-)\\d{2}' then to_timestamp_tz(CREATED_AT, 'YYYY-MM-DDTHH24:MI:SSTZH')
2022-07-13 00:43:31 normalization >         when CREATED_AT regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}\\.\\d{1,7}(\\+|-)\\d{4}' then to_timestamp_tz(CREATED_AT, 'YYYY-MM-DDTHH24:MI:SS.FFTZHTZM')
2022-07-13 00:43:31 normalization >         when CREATED_AT regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}\\.\\d{1,7}(\\+|-)\\d{2}' then to_timestamp_tz(CREATED_AT, 'YYYY-MM-DDTHH24:MI:SS.FFTZH')
2022-07-13 00:43:31 normalization >         when CREATED_AT = '' then NULL
2022-07-13 00:43:31 normalization >     else to_timestamp_tz(CREATED_AT)
2022-07-13 00:43:31 normalization >     end as CREATED_AT
2022-07-13 00:43:31 normalization >     ,
2022-07-13 00:43:31 normalization >     case
2022-07-13 00:43:31 normalization >         when UPDATED_AT regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}(\\+|-)\\d{4}' then to_timestamp_tz(UPDATED_AT, 'YYYY-MM-DDTHH24:MI:SSTZHTZM')
2022-07-13 00:43:31 normalization >         when UPDATED_AT regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}(\\+|-)\\d{2}' then to_timestamp_tz(UPDATED_AT, 'YYYY-MM-DDTHH24:MI:SSTZH')
2022-07-13 00:43:31 normalization >         when UPDATED_AT regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}\\.\\d{1,7}(\\+|-)\\d{4}' then to_timestamp_tz(UPDATED_AT, 'YYYY-MM-DDTHH24:MI:SS.FFTZHTZM')
2022-07-13 00:43:31 normalization >         when UPDATED_AT regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}\\.\\d{1,7}(\\+|-)\\d{2}' then to_timestamp_tz(UPDATED_AT, 'YYYY-MM-DDTHH24:MI:SS.FFTZH')
2022-07-13 00:43:31 normalization >         when UPDATED_AT = '' then NULL
2022-07-13 00:43:31 normalization >     else to_timestamp_tz(UPDATED_AT)
2022-07-13 00:43:31 normalization >     end as UPDATED_AT
2022-07-13 00:43:31 normalization >     ,
2022-07-13 00:43:31 normalization >     cast(CONSUMPTION as 
2022-07-13 00:43:31 normalization >     float
2022-07-13 00:43:31 normalization > ) as CONSUMPTION,
2022-07-13 00:43:31 normalization >     cast(SPEED_PLAN_ID as 
2022-07-13 00:43:31 normalization >     float
2022-07-13 00:43:31 normalization > ) as SPEED_PLAN_ID,
2022-07-13 00:43:31 normalization >     cast(SPEED_VARIANT as 
2022-07-13 00:43:31 normalization >     varchar
2022-07-13 00:43:31 normalization > ) as SPEED_VARIANT,
2022-07-13 00:43:31 normalization >     _AIRBYTE_AB_ID,
2022-07-13 00:43:31 normalization >     _AIRBYTE_EMITTED_AT,
2022-07-13 00:43:31 normalization >     convert_timezone('UTC', current_timestamp()) as _AIRBYTE_NORMALIZED_AT
2022-07-13 00:43:31 normalization > from __dbt__cte___AIRBYTE_MT_SPEED_SPEEDPLANWARRANTEDSPEED_AB1
2022-07-13 00:43:31 normalization > -- SPEED_SPEEDPLANWARRANTEDSPEED
2022-07-13 00:43:31 normalization > where 1 = 1
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization > ),  __dbt__cte___AIRBYTE_MT_SPEED_SPEEDPLANWARRANTEDSPEED_AB3 as (
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization > -- SQL model to build a hash column based on the values of this record
2022-07-13 00:43:31 normalization > -- depends_on: __dbt__cte___AIRBYTE_MT_SPEED_SPEEDPLANWARRANTEDSPEED_AB2
2022-07-13 00:43:31 normalization > select
2022-07-13 00:43:31 normalization >     md5(cast(coalesce(cast(ID as 
2022-07-13 00:43:31 normalization >     varchar
2022-07-13 00:43:31 normalization > ), '') || '-' || coalesce(cast(SPEED as 
2022-07-13 00:43:31 normalization >     varchar
2022-07-13 00:43:31 normalization > ), '') || '-' || coalesce(cast(CREATED_AT as 
2022-07-13 00:43:31 normalization >     varchar
2022-07-13 00:43:31 normalization > ), '') || '-' || coalesce(cast(UPDATED_AT as 
2022-07-13 00:43:31 normalization >     varchar
2022-07-13 00:43:31 normalization > ), '') || '-' || coalesce(cast(CONSUMPTION as 
2022-07-13 00:43:31 normalization >     varchar
2022-07-13 00:43:31 normalization > ), '') || '-' || coalesce(cast(SPEED_PLAN_ID as 
2022-07-13 00:43:31 normalization >     varchar
2022-07-13 00:43:31 normalization > ), '') || '-' || coalesce(cast(SPEED_VARIANT as 
2022-07-13 00:43:31 normalization >     varchar
2022-07-13 00:43:31 normalization > ), '') as 
2022-07-13 00:43:31 normalization >     varchar
2022-07-13 00:43:31 normalization > )) as _AIRBYTE_SPEED_SPEEDPLANWARRANTEDSPEED_HASHID,
2022-07-13 00:43:31 normalization >     tmp.*
2022-07-13 00:43:31 normalization > from __dbt__cte___AIRBYTE_MT_SPEED_SPEEDPLANWARRANTEDSPEED_AB2 tmp
2022-07-13 00:43:31 normalization > -- SPEED_SPEEDPLANWARRANTEDSPEED
2022-07-13 00:43:31 normalization > where 1 = 1
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization > )-- Final base SQL model
2022-07-13 00:43:31 normalization > -- depends_on: __dbt__cte___AIRBYTE_MT_SPEED_SPEEDPLANWARRANTEDSPEED_AB3
2022-07-13 00:43:31 normalization > select
2022-07-13 00:43:31 normalization >     ID,
2022-07-13 00:43:31 normalization >     SPEED,
2022-07-13 00:43:31 normalization >     CREATED_AT,
2022-07-13 00:43:31 normalization >     UPDATED_AT,
2022-07-13 00:43:31 normalization >     CONSUMPTION,
2022-07-13 00:43:31 normalization >     SPEED_PLAN_ID,
2022-07-13 00:43:31 normalization >     SPEED_VARIANT,
2022-07-13 00:43:31 normalization >     _AIRBYTE_AB_ID,
2022-07-13 00:43:31 normalization >     _AIRBYTE_EMITTED_AT,
2022-07-13 00:43:31 normalization >     convert_timezone('UTC', current_timestamp()) as _AIRBYTE_NORMALIZED_AT,
2022-07-13 00:43:31 normalization >     _AIRBYTE_SPEED_SPEEDPLANWARRANTEDSPEED_HASHID
2022-07-13 00:43:31 normalization > from __dbt__cte___AIRBYTE_MT_SPEED_SPEEDPLANWARRANTEDSPEED_AB3
2022-07-13 00:43:31 normalization > -- SPEED_SPEEDPLANWARRANTEDSPEED from "DEV_LANDING".MT._AIRBYTE_RAW_SPEED_SPEEDPLANWARRANTEDSPEED
2022-07-13 00:43:31 normalization > where 1 = 1
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization >     
2022-07-13 00:43:31 normalization > and cast(_AIRBYTE_EMITTED_AT as 
2022-07-13 00:43:31 normalization >     timestamp with time zone
2022-07-13 00:43:31 normalization > ) >=
2022-07-13 00:43:31 normalization >     cast('2022-07-12 17:47:22.629000-07:00' as 
2022-07-13 00:43:31 normalization >     timestamp with time zone
2022-07-13 00:43:31 normalization > )
2022-07-13 00:43:31 normalization >     
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization >             ) order by (_AIRBYTE_EMITTED_AT)
2022-07-13 00:43:31 normalization >       );
2022-07-13 00:43:31 normalization > 00:36:56.007434 [debug] [Thread-5  ]: SQL status: SUCCESS 1 in 1.17 seconds
2022-07-13 00:43:31 normalization > 00:36:56.014184 [debug] [Thread-5  ]: Using snowflake connection "model.airbyte_utils.MT_SPEED_SPEEDPLANWARRANTEDSPEED"
2022-07-13 00:43:31 normalization > 00:36:56.016162 [debug] [Thread-1  ]: SQL status: SUCCESS 163635 in 3.79 seconds
2022-07-13 00:43:31 normalization > 00:36:56.017135 [debug] [Thread-1  ]: Using snowflake connection "model.airbyte_utils.MT_SPEED_SPEEDNOTIFICATION"
2022-07-13 00:43:31 normalization > 00:36:56.017429 [debug] [Thread-1  ]: On model.airbyte_utils.MT_SPEED_SPEEDNOTIFICATION: commit;
2022-07-13 00:43:31 normalization > 00:36:56.016716 [debug] [Thread-5  ]: On model.airbyte_utils.MT_SPEED_SPEEDPLANWARRANTEDSPEED: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.MT_SPEED_SPEEDPLANWARRANTEDSPEED"} */
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization >     describe table "DEV_LANDING".MT."SPEED_SPEEDPLANWARRANTEDSPEED__dbt_tmp"
2022-07-13 00:43:31 normalization > 00:36:56.084071 [debug] [Thread-5  ]: SQL status: SUCCESS 11 in 0.06 seconds
2022-07-13 00:43:31 normalization > 00:36:56.098274 [debug] [Thread-5  ]: Using snowflake connection "model.airbyte_utils.MT_SPEED_SPEEDPLANWARRANTEDSPEED"
2022-07-13 00:43:31 normalization > 00:36:56.098848 [debug] [Thread-5  ]: On model.airbyte_utils.MT_SPEED_SPEEDPLANWARRANTEDSPEED: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.MT_SPEED_SPEEDPLANWARRANTEDSPEED"} */
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization >     describe table "DEV_LANDING".MT."SPEED_SPEEDPLANWARRANTEDSPEED"
2022-07-13 00:43:31 normalization > 00:36:56.144034 [debug] [Thread-5  ]: SQL status: SUCCESS 11 in 0.04 seconds
2022-07-13 00:43:31 normalization > 00:36:56.173826 [debug] [Thread-5  ]: Using snowflake connection "model.airbyte_utils.MT_SPEED_SPEEDPLANWARRANTEDSPEED"
2022-07-13 00:43:31 normalization > 00:36:56.174996 [debug] [Thread-5  ]: On model.airbyte_utils.MT_SPEED_SPEEDPLANWARRANTEDSPEED: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.MT_SPEED_SPEEDPLANWARRANTEDSPEED"} */
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization >     describe table "DEV_LANDING".MT."SPEED_SPEEDPLANWARRANTEDSPEED__dbt_tmp"
2022-07-13 00:43:31 normalization > 00:36:56.187273 [debug] [Thread-1  ]: SQL status: SUCCESS 1 in 0.17 seconds
2022-07-13 00:43:31 normalization > 00:36:56.252419 [debug] [Thread-5  ]: SQL status: SUCCESS 11 in 0.08 seconds
2022-07-13 00:43:31 normalization > 00:36:56.262233 [debug] [Thread-1  ]: finished collecting timing info
2022-07-13 00:43:31 normalization > 00:36:56.274376 [debug] [Thread-5  ]: Using snowflake connection "model.airbyte_utils.MT_SPEED_SPEEDPLANWARRANTEDSPEED"
2022-07-13 00:43:31 normalization > 00:36:56.274929 [debug] [Thread-1  ]: On model.airbyte_utils.MT_SPEED_SPEEDNOTIFICATION: Close
2022-07-13 00:43:31 normalization > 00:36:56.275330 [debug] [Thread-5  ]: On model.airbyte_utils.MT_SPEED_SPEEDPLANWARRANTEDSPEED: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.MT_SPEED_SPEEDPLANWARRANTEDSPEED"} */
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization >     describe table "DEV_LANDING"."MT"."SPEED_SPEEDPLANWARRANTEDSPEED"
2022-07-13 00:43:31 normalization > 00:36:56.352151 [debug] [Thread-5  ]: SQL status: SUCCESS 11 in 0.07 seconds
2022-07-13 00:43:31 normalization > 00:36:56.358808 [debug] [Thread-5  ]: 
2022-07-13 00:43:31 normalization >     In "DEV_LANDING"."MT"."SPEED_SPEEDPLANWARRANTEDSPEED":
2022-07-13 00:43:31 normalization >         Schema changed: False
2022-07-13 00:43:31 normalization >         Source columns not in target: []
2022-07-13 00:43:31 normalization >         Target columns not in source: []
2022-07-13 00:43:31 normalization >         New column types: []
2022-07-13 00:43:31 normalization >   
2022-07-13 00:43:31 normalization > 00:36:56.362014 [debug] [Thread-5  ]: Writing runtime SQL for node "model.airbyte_utils.MT_SPEED_SPEEDPLANWARRANTEDSPEED"
2022-07-13 00:43:31 normalization > 00:36:56.363266 [info ] [Thread-1  ]: 25 of 60 OK created incremental model MT.SPEED_SPEEDNOTIFICATION........................................................ [SUCCESS 1 in 15.16s]
2022-07-13 00:43:31 normalization > 00:36:56.367597 [debug] [Thread-5  ]: Using snowflake connection "model.airbyte_utils.MT_SPEED_SPEEDPLANWARRANTEDSPEED"
2022-07-13 00:43:31 normalization > 00:36:56.368196 [debug] [Thread-5  ]: On model.airbyte_utils.MT_SPEED_SPEEDPLANWARRANTEDSPEED: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.MT_SPEED_SPEEDPLANWARRANTEDSPEED"} */
2022-07-13 00:43:31 normalization > begin;
2022-07-13 00:43:31 normalization > 00:36:56.369160 [debug] [Thread-1  ]: Finished running node model.airbyte_utils.MT_SPEED_SPEEDNOTIFICATION
2022-07-13 00:43:31 normalization > 00:36:56.375475 [debug] [Thread-1  ]: Began running node model.airbyte_utils.MT_SPEED_SPEEDVOYAGELEGMETRICS
2022-07-13 00:43:31 normalization > 00:36:56.376984 [info ] [Thread-1  ]: 30 of 60 START incremental model MT.SPEED_SPEEDVOYAGELEGMETRICS......................................................... [RUN]
2022-07-13 00:43:31 normalization > 00:36:56.378874 [debug] [Thread-1  ]: Acquiring new snowflake connection "model.airbyte_utils.MT_SPEED_SPEEDVOYAGELEGMETRICS"
2022-07-13 00:43:31 normalization > 00:36:56.379280 [debug] [Thread-1  ]: Began compiling node model.airbyte_utils.MT_SPEED_SPEEDVOYAGELEGMETRICS
2022-07-13 00:43:31 normalization > 00:36:56.379604 [debug] [Thread-1  ]: Compiling model.airbyte_utils.MT_SPEED_SPEEDVOYAGELEGMETRICS
2022-07-13 00:43:31 normalization > 00:36:56.439885 [debug] [Thread-5  ]: SQL status: SUCCESS 1 in 0.07 seconds
2022-07-13 00:43:31 normalization > 00:36:56.440375 [debug] [Thread-5  ]: Using snowflake connection "model.airbyte_utils.MT_SPEED_SPEEDPLANWARRANTEDSPEED"
2022-07-13 00:43:31 normalization > 00:36:56.451674 [debug] [Thread-5  ]: On model.airbyte_utils.MT_SPEED_SPEEDPLANWARRANTEDSPEED: merge into "DEV_LANDING".MT."SPEED_SPEEDPLANWARRANTEDSPEED" as DBT_INTERNAL_DEST
2022-07-13 00:43:31 normalization >         using "DEV_LANDING".MT."SPEED_SPEEDPLANWARRANTEDSPEED__dbt_tmp" as DBT_INTERNAL_SOURCE
2022-07-13 00:43:31 normalization >         on 
2022-07-13 00:43:31 normalization >             DBT_INTERNAL_SOURCE._AIRBYTE_AB_ID = DBT_INTERNAL_DEST._AIRBYTE_AB_ID
2022-07-13 00:43:31 normalization >         
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization >     
2022-07-13 00:43:31 normalization >     when matched then update set
2022-07-13 00:43:31 normalization >         "ID" = DBT_INTERNAL_SOURCE."ID","SPEED" = DBT_INTERNAL_SOURCE."SPEED","CREATED_AT" = DBT_INTERNAL_SOURCE."CREATED_AT","UPDATED_AT" = DBT_INTERNAL_SOURCE."UPDATED_AT","CONSUMPTION" = DBT_INTERNAL_SOURCE."CONSUMPTION","SPEED_PLAN_ID" = DBT_INTERNAL_SOURCE."SPEED_PLAN_ID","SPEED_VARIANT" = DBT_INTERNAL_SOURCE."SPEED_VARIANT","_AIRBYTE_AB_ID" = DBT_INTERNAL_SOURCE."_AIRBYTE_AB_ID","_AIRBYTE_EMITTED_AT" = DBT_INTERNAL_SOURCE."_AIRBYTE_EMITTED_AT","_AIRBYTE_NORMALIZED_AT" = DBT_INTERNAL_SOURCE."_AIRBYTE_NORMALIZED_AT","_AIRBYTE_SPEED_SPEEDPLANWARRANTEDSPEED_HASHID" = DBT_INTERNAL_SOURCE."_AIRBYTE_SPEED_SPEEDPLANWARRANTEDSPEED_HASHID"
2022-07-13 00:43:31 normalization >     
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization >     when not matched then insert
2022-07-13 00:43:31 normalization >         ("ID", "SPEED", "CREATED_AT", "UPDATED_AT", "CONSUMPTION", "SPEED_PLAN_ID", "SPEED_VARIANT", "_AIRBYTE_AB_ID", "_AIRBYTE_EMITTED_AT", "_AIRBYTE_NORMALIZED_AT", "_AIRBYTE_SPEED_SPEEDPLANWARRANTEDSPEED_HASHID")
2022-07-13 00:43:31 normalization >     values
2022-07-13 00:43:31 normalization >         ("ID", "SPEED", "CREATED_AT", "UPDATED_AT", "CONSUMPTION", "SPEED_PLAN_ID", "SPEED_VARIANT", "_AIRBYTE_AB_ID", "_AIRBYTE_EMITTED_AT", "_AIRBYTE_NORMALIZED_AT", "_AIRBYTE_SPEED_SPEEDPLANWARRANTEDSPEED_HASHID")
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization > ;
2022-07-13 00:43:31 normalization > 00:36:56.489513 [debug] [Thread-1  ]: Using snowflake connection "model.airbyte_utils.MT_SPEED_SPEEDVOYAGELEGMETRICS"
2022-07-13 00:43:31 normalization > 00:36:56.490187 [debug] [Thread-1  ]: On model.airbyte_utils.MT_SPEED_SPEEDVOYAGELEGMETRICS: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.MT_SPEED_SPEEDVOYAGELEGMETRICS"} */
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization >     describe table "DEV_LANDING".MT."SPEED_SPEEDVOYAGELEGMETRICS"
2022-07-13 00:43:31 normalization > 00:36:56.490465 [debug] [Thread-1  ]: Opening a new connection, currently in state closed
2022-07-13 00:43:31 normalization > 00:36:57.147101 [debug] [Thread-1  ]: SQL status: SUCCESS 14 in 0.66 seconds
2022-07-13 00:43:31 normalization > 00:36:57.224700 [debug] [Thread-1  ]: Using snowflake connection "model.airbyte_utils.MT_SPEED_SPEEDVOYAGELEGMETRICS"
2022-07-13 00:43:31 normalization > 00:36:57.225072 [debug] [Thread-1  ]: On model.airbyte_utils.MT_SPEED_SPEEDVOYAGELEGMETRICS: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.MT_SPEED_SPEEDVOYAGELEGMETRICS"} */
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization >     describe table "DEV_LANDING".MT."SPEED_SPEEDVOYAGELEGMETRICS"
2022-07-13 00:43:31 normalization > 00:36:57.274250 [debug] [Thread-1  ]: SQL status: SUCCESS 14 in 0.05 seconds
2022-07-13 00:43:31 normalization > 00:36:57.279040 [debug] [Thread-1  ]: Using snowflake connection "model.airbyte_utils.MT_SPEED_SPEEDVOYAGELEGMETRICS"
2022-07-13 00:43:31 normalization > 00:36:57.279513 [debug] [Thread-1  ]: On model.airbyte_utils.MT_SPEED_SPEEDVOYAGELEGMETRICS: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.MT_SPEED_SPEEDVOYAGELEGMETRICS"} */
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization >     
2022-07-13 00:43:31 normalization >         select max(cast(_AIRBYTE_EMITTED_AT as 
2022-07-13 00:43:31 normalization >     timestamp with time zone
2022-07-13 00:43:31 normalization > )) from "DEV_LANDING".MT."SPEED_SPEEDVOYAGELEGMETRICS"
2022-07-13 00:43:31 normalization > 00:36:57.642114 [debug] [Thread-1  ]: SQL status: SUCCESS 1 in 0.36 seconds
2022-07-13 00:43:31 normalization > 00:36:57.709655 [debug] [Thread-1  ]: Using snowflake connection "model.airbyte_utils.MT_SPEED_SPEEDVOYAGELEGMETRICS"
2022-07-13 00:43:31 normalization > 00:36:57.710031 [debug] [Thread-1  ]: On model.airbyte_utils.MT_SPEED_SPEEDVOYAGELEGMETRICS: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.MT_SPEED_SPEEDVOYAGELEGMETRICS"} */
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization >     describe table "DEV_LANDING".MT."SPEED_SPEEDVOYAGELEGMETRICS"
2022-07-13 00:43:31 normalization > 00:36:57.753370 [debug] [Thread-1  ]: SQL status: SUCCESS 14 in 0.04 seconds
2022-07-13 00:43:31 normalization > 00:36:57.758733 [debug] [Thread-1  ]: Using snowflake connection "model.airbyte_utils.MT_SPEED_SPEEDVOYAGELEGMETRICS"
2022-07-13 00:43:31 normalization > 00:36:57.759144 [debug] [Thread-1  ]: On model.airbyte_utils.MT_SPEED_SPEEDVOYAGELEGMETRICS: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.MT_SPEED_SPEEDVOYAGELEGMETRICS"} */
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization >     
2022-07-13 00:43:31 normalization >         select max(cast(_AIRBYTE_EMITTED_AT as 
2022-07-13 00:43:31 normalization >     timestamp with time zone
2022-07-13 00:43:31 normalization > )) from "DEV_LANDING".MT."SPEED_SPEEDVOYAGELEGMETRICS"
2022-07-13 00:43:31 normalization > 00:36:57.808800 [debug] [Thread-1  ]: SQL status: SUCCESS 1 in 0.05 seconds
2022-07-13 00:43:31 normalization > 00:36:57.823580 [debug] [Thread-1  ]: Writing injected SQL for node "model.airbyte_utils.MT_SPEED_SPEEDVOYAGELEGMETRICS"
2022-07-13 00:43:31 normalization > 00:36:57.824456 [debug] [Thread-1  ]: finished collecting timing info
2022-07-13 00:43:31 normalization > 00:36:57.824742 [debug] [Thread-1  ]: Began executing node model.airbyte_utils.MT_SPEED_SPEEDVOYAGELEGMETRICS
2022-07-13 00:43:31 normalization > 00:36:57.833287 [debug] [Thread-1  ]: Using snowflake connection "model.airbyte_utils.MT_SPEED_SPEEDVOYAGELEGMETRICS"
2022-07-13 00:43:31 normalization > 00:36:57.833648 [debug] [Thread-1  ]: On model.airbyte_utils.MT_SPEED_SPEEDVOYAGELEGMETRICS: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.MT_SPEED_SPEEDVOYAGELEGMETRICS"} */
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization >     describe table "DEV_LANDING".MT."SPEED_SPEEDVOYAGELEGMETRICS"
2022-07-13 00:43:31 normalization > 00:36:57.882041 [debug] [Thread-1  ]: SQL status: SUCCESS 14 in 0.05 seconds
2022-07-13 00:43:31 normalization > 00:36:57.997725 [debug] [Thread-1  ]: Using snowflake connection "model.airbyte_utils.MT_SPEED_SPEEDVOYAGELEGMETRICS"
2022-07-13 00:43:31 normalization > 00:36:57.998277 [debug] [Thread-1  ]: On model.airbyte_utils.MT_SPEED_SPEEDVOYAGELEGMETRICS: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.MT_SPEED_SPEEDVOYAGELEGMETRICS"} */
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization >     
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization >       create or replace temporary table "DEV_LANDING".MT."SPEED_SPEEDVOYAGELEGMETRICS__dbt_tmp"  as
2022-07-13 00:43:31 normalization >       (select * from(
2022-07-13 00:43:31 normalization >             
2022-07-13 00:43:31 normalization > with __dbt__cte___AIRBYTE_MT_SPEED_SPEEDVOYAGELEGMETRICS_AB1 as (
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema
2022-07-13 00:43:31 normalization > -- depends_on: "DEV_LANDING".MT._AIRBYTE_RAW_SPEED_SPEEDVOYAGELEGMETRICS
2022-07-13 00:43:31 normalization > select
2022-07-13 00:43:31 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"id"')) as ID,
2022-07-13 00:43:31 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"created_at"')) as CREATED_AT,
2022-07-13 00:43:31 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"updated_at"')) as UPDATED_AT,
2022-07-13 00:43:31 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"voyage_leg_id"')) as VOYAGE_LEG_ID,
2022-07-13 00:43:31 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"n_ais_readings"')) as N_AIS_READINGS,
2022-07-13 00:43:31 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"replaced_after_hours"')) as REPLACED_AFTER_HOURS,
2022-07-13 00:43:31 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"max_distance_to_route"')) as MAX_DISTANCE_TO_ROUTE,
2022-07-13 00:43:31 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"mean_distance_to_route"')) as MEAN_DISTANCE_TO_ROUTE,
2022-07-13 00:43:31 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"max_distance_to_speedplan"')) as MAX_DISTANCE_TO_SPEEDPLAN,
2022-07-13 00:43:31 normalization >     to_varchar(get_path(parse_json(_airbyte_data), '"mean_distance_to_speedplan"')) as MEAN_DISTANCE_TO_SPEEDPLAN,
2022-07-13 00:43:31 normalization >     _AIRBYTE_AB_ID,
2022-07-13 00:43:31 normalization >     _AIRBYTE_EMITTED_AT,
2022-07-13 00:43:31 normalization >     convert_timezone('UTC', current_timestamp()) as _AIRBYTE_NORMALIZED_AT
2022-07-13 00:43:31 normalization > from "DEV_LANDING".MT._AIRBYTE_RAW_SPEED_SPEEDVOYAGELEGMETRICS as table_alias
2022-07-13 00:43:31 normalization > -- SPEED_SPEEDVOYAGELEGMETRICS
2022-07-13 00:43:31 normalization > where 1 = 1
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization > ),  __dbt__cte___AIRBYTE_MT_SPEED_SPEEDVOYAGELEGMETRICS_AB2 as (
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type
2022-07-13 00:43:31 normalization > -- depends_on: __dbt__cte___AIRBYTE_MT_SPEED_SPEEDVOYAGELEGMETRICS_AB1
2022-07-13 00:43:31 normalization > select
2022-07-13 00:43:31 normalization >     cast(ID as 
2022-07-13 00:43:31 normalization >     float
2022-07-13 00:43:31 normalization > ) as ID,
2022-07-13 00:43:31 normalization >     case
2022-07-13 00:43:31 normalization >         when CREATED_AT regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}(\\+|-)\\d{4}' then to_timestamp_tz(CREATED_AT, 'YYYY-MM-DDTHH24:MI:SSTZHTZM')
2022-07-13 00:43:31 normalization >         when CREATED_AT regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}(\\+|-)\\d{2}' then to_timestamp_tz(CREATED_AT, 'YYYY-MM-DDTHH24:MI:SSTZH')
2022-07-13 00:43:31 normalization >         when CREATED_AT regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}\\.\\d{1,7}(\\+|-)\\d{4}' then to_timestamp_tz(CREATED_AT, 'YYYY-MM-DDTHH24:MI:SS.FFTZHTZM')
2022-07-13 00:43:31 normalization >         when CREATED_AT regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}\\.\\d{1,7}(\\+|-)\\d{2}' then to_timestamp_tz(CREATED_AT, 'YYYY-MM-DDTHH24:MI:SS.FFTZH')
2022-07-13 00:43:31 normalization >         when CREATED_AT = '' then NULL
2022-07-13 00:43:31 normalization >     else to_timestamp_tz(CREATED_AT)
2022-07-13 00:43:31 normalization >     end as CREATED_AT
2022-07-13 00:43:31 normalization >     ,
2022-07-13 00:43:31 normalization >     case
2022-07-13 00:43:31 normalization >         when UPDATED_AT regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}(\\+|-)\\d{4}' then to_timestamp_tz(UPDATED_AT, 'YYYY-MM-DDTHH24:MI:SSTZHTZM')
2022-07-13 00:43:31 normalization >         when UPDATED_AT regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}(\\+|-)\\d{2}' then to_timestamp_tz(UPDATED_AT, 'YYYY-MM-DDTHH24:MI:SSTZH')
2022-07-13 00:43:31 normalization >         when UPDATED_AT regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}\\.\\d{1,7}(\\+|-)\\d{4}' then to_timestamp_tz(UPDATED_AT, 'YYYY-MM-DDTHH24:MI:SS.FFTZHTZM')
2022-07-13 00:43:31 normalization >         when UPDATED_AT regexp '\\d{4}-\\d{2}-\\d{2}T(\\d{2}:){2}\\d{2}\\.\\d{1,7}(\\+|-)\\d{2}' then to_timestamp_tz(UPDATED_AT, 'YYYY-MM-DDTHH24:MI:SS.FFTZH')
2022-07-13 00:43:31 normalization >         when UPDATED_AT = '' then NULL
2022-07-13 00:43:31 normalization >     else to_timestamp_tz(UPDATED_AT)
2022-07-13 00:43:31 normalization >     end as UPDATED_AT
2022-07-13 00:43:31 normalization >     ,
2022-07-13 00:43:31 normalization >     cast(VOYAGE_LEG_ID as 
2022-07-13 00:43:31 normalization >     float
2022-07-13 00:43:31 normalization > ) as VOYAGE_LEG_ID,
2022-07-13 00:43:31 normalization >     cast(N_AIS_READINGS as 
2022-07-13 00:43:31 normalization >     float
2022-07-13 00:43:31 normalization > ) as N_AIS_READINGS,
2022-07-13 00:43:31 normalization >     cast(REPLACED_AFTER_HOURS as 
2022-07-13 00:43:31 normalization >     float
2022-07-13 00:43:31 normalization > ) as REPLACED_AFTER_HOURS,
2022-07-13 00:43:31 normalization >     cast(MAX_DISTANCE_TO_ROUTE as 
2022-07-13 00:43:31 normalization >     float
2022-07-13 00:43:31 normalization > ) as MAX_DISTANCE_TO_ROUTE,
2022-07-13 00:43:31 normalization >     cast(MEAN_DISTANCE_TO_ROUTE as 
2022-07-13 00:43:31 normalization >     float
2022-07-13 00:43:31 normalization > ) as MEAN_DISTANCE_TO_ROUTE,
2022-07-13 00:43:31 normalization >     cast(MAX_DISTANCE_TO_SPEEDPLAN as 
2022-07-13 00:43:31 normalization >     float
2022-07-13 00:43:31 normalization > ) as MAX_DISTANCE_TO_SPEEDPLAN,
2022-07-13 00:43:31 normalization >     cast(MEAN_DISTANCE_TO_SPEEDPLAN as 
2022-07-13 00:43:31 normalization >     float
2022-07-13 00:43:31 normalization > ) as MEAN_DISTANCE_TO_SPEEDPLAN,
2022-07-13 00:43:31 normalization >     _AIRBYTE_AB_ID,
2022-07-13 00:43:31 normalization >     _AIRBYTE_EMITTED_AT,
2022-07-13 00:43:31 normalization >     convert_timezone('UTC', current_timestamp()) as _AIRBYTE_NORMALIZED_AT
2022-07-13 00:43:31 normalization > from __dbt__cte___AIRBYTE_MT_SPEED_SPEEDVOYAGELEGMETRICS_AB1
2022-07-13 00:43:31 normalization > -- SPEED_SPEEDVOYAGELEGMETRICS
2022-07-13 00:43:31 normalization > where 1 = 1
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization > ),  __dbt__cte___AIRBYTE_MT_SPEED_SPEEDVOYAGELEGMETRICS_AB3 as (
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization > -- SQL model to build a hash column based on the values of this record
2022-07-13 00:43:31 normalization > -- depends_on: __dbt__cte___AIRBYTE_MT_SPEED_SPEEDVOYAGELEGMETRICS_AB2
2022-07-13 00:43:31 normalization > select
2022-07-13 00:43:31 normalization >     md5(cast(coalesce(cast(ID as 
2022-07-13 00:43:31 normalization >     varchar
2022-07-13 00:43:31 normalization > ), '') || '-' || coalesce(cast(CREATED_AT as 
2022-07-13 00:43:31 normalization >     varchar
2022-07-13 00:43:31 normalization > ), '') || '-' || coalesce(cast(UPDATED_AT as 
2022-07-13 00:43:31 normalization >     varchar
2022-07-13 00:43:31 normalization > ), '') || '-' || coalesce(cast(VOYAGE_LEG_ID as 
2022-07-13 00:43:31 normalization >     varchar
2022-07-13 00:43:31 normalization > ), '') || '-' || coalesce(cast(N_AIS_READINGS as 
2022-07-13 00:43:31 normalization >     varchar
2022-07-13 00:43:31 normalization > ), '') || '-' || coalesce(cast(REPLACED_AFTER_HOURS as 
2022-07-13 00:43:31 normalization >     varchar
2022-07-13 00:43:31 normalization > ), '') || '-' || coalesce(cast(MAX_DISTANCE_TO_ROUTE as 
2022-07-13 00:43:31 normalization >     varchar
2022-07-13 00:43:31 normalization > ), '') || '-' || coalesce(cast(MEAN_DISTANCE_TO_ROUTE as 
2022-07-13 00:43:31 normalization >     varchar
2022-07-13 00:43:31 normalization > ), '') || '-' || coalesce(cast(MAX_DISTANCE_TO_SPEEDPLAN as 
2022-07-13 00:43:31 normalization >     varchar
2022-07-13 00:43:31 normalization > ), '') || '-' || coalesce(cast(MEAN_DISTANCE_TO_SPEEDPLAN as 
2022-07-13 00:43:31 normalization >     varchar
2022-07-13 00:43:31 normalization > ), '') as 
2022-07-13 00:43:31 normalization >     varchar
2022-07-13 00:43:31 normalization > )) as _AIRBYTE_SPEED_SPEEDVOYAGELEGMETRICS_HASHID,
2022-07-13 00:43:31 normalization >     tmp.*
2022-07-13 00:43:31 normalization > from __dbt__cte___AIRBYTE_MT_SPEED_SPEEDVOYAGELEGMETRICS_AB2 tmp
2022-07-13 00:43:31 normalization > -- SPEED_SPEEDVOYAGELEGMETRICS
2022-07-13 00:43:31 normalization > where 1 = 1
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization > )-- Final base SQL model
2022-07-13 00:43:31 normalization > -- depends_on: __dbt__cte___AIRBYTE_MT_SPEED_SPEEDVOYAGELEGMETRICS_AB3
2022-07-13 00:43:31 normalization > select
2022-07-13 00:43:31 normalization >     ID,
2022-07-13 00:43:31 normalization >     CREATED_AT,
2022-07-13 00:43:31 normalization >     UPDATED_AT,
2022-07-13 00:43:31 normalization >     VOYAGE_LEG_ID,
2022-07-13 00:43:31 normalization >     N_AIS_READINGS,
2022-07-13 00:43:31 normalization >     REPLACED_AFTER_HOURS,
2022-07-13 00:43:31 normalization >     MAX_DISTANCE_TO_ROUTE,
2022-07-13 00:43:31 normalization >     MEAN_DISTANCE_TO_ROUTE,
2022-07-13 00:43:31 normalization >     MAX_DISTANCE_TO_SPEEDPLAN,
2022-07-13 00:43:31 normalization >     MEAN_DISTANCE_TO_SPEEDPLAN,
2022-07-13 00:43:31 normalization >     _AIRBYTE_AB_ID,
2022-07-13 00:43:31 normalization >     _AIRBYTE_EMITTED_AT,
2022-07-13 00:43:31 normalization >     convert_timezone('UTC', current_timestamp()) as _AIRBYTE_NORMALIZED_AT,
2022-07-13 00:43:31 normalization >     _AIRBYTE_SPEED_SPEEDVOYAGELEGMETRICS_HASHID
2022-07-13 00:43:31 normalization > from __dbt__cte___AIRBYTE_MT_SPEED_SPEEDVOYAGELEGMETRICS_AB3
2022-07-13 00:43:31 normalization > -- SPEED_SPEEDVOYAGELEGMETRICS from "DEV_LANDING".MT._AIRBYTE_RAW_SPEED_SPEEDVOYAGELEGMETRICS
2022-07-13 00:43:31 normalization > where 1 = 1
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization >     
2022-07-13 00:43:31 normalization > and cast(_AIRBYTE_EMITTED_AT as 
2022-07-13 00:43:31 normalization >     timestamp with time zone
2022-07-13 00:43:31 normalization > ) >=
2022-07-13 00:43:31 normalization >     cast('2022-07-12 17:47:22.629000-07:00' as 
2022-07-13 00:43:31 normalization >     timestamp with time zone
2022-07-13 00:43:31 normalization > )
2022-07-13 00:43:31 normalization >     
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization >             ) order by (_AIRBYTE_EMITTED_AT)
2022-07-13 00:43:31 normalization >       );
2022-07-13 00:43:31 normalization > 00:36:58.112308 [debug] [Thread-5  ]: SQL status: SUCCESS 9328 in 1.65 seconds
2022-07-13 00:43:31 normalization > 00:36:58.112907 [debug] [Thread-5  ]: Using snowflake connection "model.airbyte_utils.MT_SPEED_SPEEDPLANWARRANTEDSPEED"
2022-07-13 00:43:31 normalization > 00:36:58.113331 [debug] [Thread-5  ]: On model.airbyte_utils.MT_SPEED_SPEEDPLANWARRANTEDSPEED: commit;
2022-07-13 00:43:31 normalization > 00:36:58.401312 [debug] [Thread-5  ]: SQL status: SUCCESS 1 in 0.29 seconds
2022-07-13 00:43:31 normalization > 00:36:58.457210 [debug] [Thread-5  ]: finished collecting timing info
2022-07-13 00:43:31 normalization > 00:36:58.457649 [debug] [Thread-5  ]: On model.airbyte_utils.MT_SPEED_SPEEDPLANWARRANTEDSPEED: Close
2022-07-13 00:43:31 normalization > 00:36:58.516814 [info ] [Thread-5  ]: 29 of 60 OK created incremental model MT.SPEED_SPEEDPLANWARRANTEDSPEED.................................................. [SUCCESS 1 in 5.30s]
2022-07-13 00:43:31 normalization > 00:36:58.517579 [debug] [Thread-5  ]: Finished running node model.airbyte_utils.MT_SPEED_SPEEDPLANWARRANTEDSPEED
2022-07-13 00:43:31 normalization > 00:36:58.518139 [debug] [Thread-5  ]: Began running node model.airbyte_utils.CARGILL_SIMBUNKER_QUANTIFICATIONBASELINESPEED_SCD
2022-07-13 00:43:31 normalization > 00:36:58.519029 [info ] [Thread-5  ]: 31 of 60 START incremental model CARGILL.SIMBUNKER_QUANTIFICATIONBASELINESPEED_SCD...................................... [RUN]
2022-07-13 00:43:31 normalization > 00:36:58.520277 [debug] [Thread-5  ]: Acquiring new snowflake connection "model.airbyte_utils.CARGILL_SIMBUNKER_QUANTIFICATIONBASELINESPEED_SCD"
2022-07-13 00:43:31 normalization > 00:36:58.520594 [debug] [Thread-5  ]: Began compiling node model.airbyte_utils.CARGILL_SIMBUNKER_QUANTIFICATIONBASELINESPEED_SCD
2022-07-13 00:43:31 normalization > 00:36:58.520872 [debug] [Thread-5  ]: Compiling model.airbyte_utils.CARGILL_SIMBUNKER_QUANTIFICATIONBASELINESPEED_SCD
2022-07-13 00:43:31 normalization > 00:36:58.599992 [debug] [Thread-5  ]: Using snowflake connection "model.airbyte_utils.CARGILL_SIMBUNKER_QUANTIFICATIONBASELINESPEED_SCD"
2022-07-13 00:43:31 normalization > 00:36:58.600399 [debug] [Thread-5  ]: On model.airbyte_utils.CARGILL_SIMBUNKER_QUANTIFICATIONBASELINESPEED_SCD: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.CARGILL_SIMBUNKER_QUANTIFICATIONBASELINESPEED_SCD"} */
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization >     describe table "DEV_LANDING".CARGILL."SIMBUNKER_QUANTIFICATIONBASELINESPEED_SCD"
2022-07-13 00:43:31 normalization > 00:36:58.600661 [debug] [Thread-5  ]: Opening a new connection, currently in state closed
2022-07-13 00:43:31 normalization > 00:36:59.325914 [debug] [Thread-5  ]: SQL status: SUCCESS 16 in 0.73 seconds
2022-07-13 00:43:31 normalization > 00:36:59.392326 [debug] [Thread-5  ]: Using snowflake connection "model.airbyte_utils.CARGILL_SIMBUNKER_QUANTIFICATIONBASELINESPEED_SCD"
2022-07-13 00:43:31 normalization > 00:36:59.392723 [debug] [Thread-5  ]: On model.airbyte_utils.CARGILL_SIMBUNKER_QUANTIFICATIONBASELINESPEED_SCD: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.CARGILL_SIMBUNKER_QUANTIFICATIONBASELINESPEED_SCD"} */
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization >     describe table "DEV_LANDING".CARGILL."SIMBUNKER_QUANTIFICATIONBASELINESPEED_SCD"
2022-07-13 00:43:31 normalization > 00:36:59.450692 [debug] [Thread-5  ]: SQL status: SUCCESS 16 in 0.06 seconds
2022-07-13 00:43:31 normalization > 00:36:59.515904 [debug] [Thread-5  ]: Using snowflake connection "model.airbyte_utils.CARGILL_SIMBUNKER_QUANTIFICATIONBASELINESPEED_SCD"
2022-07-13 00:43:31 normalization > 00:36:59.516297 [debug] [Thread-5  ]: On model.airbyte_utils.CARGILL_SIMBUNKER_QUANTIFICATIONBASELINESPEED_SCD: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.CARGILL_SIMBUNKER_QUANTIFICATIONBASELINESPEED_SCD"} */
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization >     describe table "DEV_LANDING".CARGILL."SIMBUNKER_QUANTIFICATIONBASELINESPEED_SCD"
2022-07-13 00:43:31 normalization > 00:36:59.556289 [debug] [Thread-5  ]: SQL status: SUCCESS 16 in 0.04 seconds
2022-07-13 00:43:31 normalization > 00:36:59.562081 [debug] [Thread-5  ]: Using snowflake connection "model.airbyte_utils.CARGILL_SIMBUNKER_QUANTIFICATIONBASELINESPEED_SCD"
2022-07-13 00:43:31 normalization > 00:36:59.562450 [debug] [Thread-5  ]: On model.airbyte_utils.CARGILL_SIMBUNKER_QUANTIFICATIONBASELINESPEED_SCD: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.CARGILL_SIMBUNKER_QUANTIFICATIONBASELINESPEED_SCD"} */
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization >     
2022-07-13 00:43:31 normalization >         select max(cast(_AIRBYTE_EMITTED_AT as 
2022-07-13 00:43:31 normalization >     timestamp with time zone
2022-07-13 00:43:31 normalization > )) from "DEV_LANDING".CARGILL."SIMBUNKER_QUANTIFICATIONBASELINESPEED_SCD"
2022-07-13 00:43:31 normalization > 00:36:59.685892 [debug] [Thread-5  ]: SQL status: SUCCESS 1 in 0.12 seconds
2022-07-13 00:43:31 normalization > 00:36:59.725326 [debug] [Thread-5  ]: Using snowflake connection "model.airbyte_utils.CARGILL_SIMBUNKER_QUANTIFICATIONBASELINESPEED_SCD"
2022-07-13 00:43:31 normalization > 00:36:59.725702 [debug] [Thread-5  ]: On model.airbyte_utils.CARGILL_SIMBUNKER_QUANTIFICATIONBASELINESPEED_SCD: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.CARGILL_SIMBUNKER_QUANTIFICATIONBASELINESPEED_SCD"} */
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization >     describe table "DEV_LANDING"._AIRBYTE_CARGILL."SIMBUNKER_QUANTIFICATIONBASELINESPEED_STG"
2022-07-13 00:43:31 normalization > 00:36:59.777259 [debug] [Thread-5  ]: SQL status: SUCCESS 11 in 0.05 seconds
2022-07-13 00:43:31 normalization > 00:36:59.784979 [debug] [Thread-5  ]: Using snowflake connection "model.airbyte_utils.CARGILL_SIMBUNKER_QUANTIFICATIONBASELINESPEED_SCD"
2022-07-13 00:43:31 normalization > 00:36:59.785356 [debug] [Thread-5  ]: On model.airbyte_utils.CARGILL_SIMBUNKER_QUANTIFICATIONBASELINESPEED_SCD: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.CARGILL_SIMBUNKER_QUANTIFICATIONBASELINESPEED_SCD"} */
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization >     describe table "DEV_LANDING".CARGILL."SIMBUNKER_QUANTIFICATIONBASELINESPEED_SCD"
2022-07-13 00:43:31 normalization > 00:36:59.800707 [debug] [Thread-1  ]: SQL status: SUCCESS 1 in 1.8 seconds
2022-07-13 00:43:31 normalization > 00:36:59.808081 [debug] [Thread-1  ]: Using snowflake connection "model.airbyte_utils.MT_SPEED_SPEEDVOYAGELEGMETRICS"
2022-07-13 00:43:31 normalization > 00:36:59.808480 [debug] [Thread-1  ]: On model.airbyte_utils.MT_SPEED_SPEEDVOYAGELEGMETRICS: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.MT_SPEED_SPEEDVOYAGELEGMETRICS"} */
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization >     describe table "DEV_LANDING".MT."SPEED_SPEEDVOYAGELEGMETRICS__dbt_tmp"
2022-07-13 00:43:31 normalization > 00:36:59.870261 [debug] [Thread-5  ]: SQL status: SUCCESS 16 in 0.08 seconds
2022-07-13 00:43:31 normalization > 00:36:59.896143 [debug] [Thread-1  ]: SQL status: SUCCESS 14 in 0.09 seconds
2022-07-13 00:43:31 normalization > 00:36:59.901369 [debug] [Thread-5  ]: Using snowflake connection "model.airbyte_utils.CARGILL_SIMBUNKER_QUANTIFICATIONBASELINESPEED_SCD"
2022-07-13 00:43:31 normalization > 00:36:59.909026 [debug] [Thread-1  ]: Using snowflake connection "model.airbyte_utils.MT_SPEED_SPEEDVOYAGELEGMETRICS"
2022-07-13 00:43:31 normalization > 00:36:59.909470 [debug] [Thread-5  ]: On model.airbyte_utils.CARGILL_SIMBUNKER_QUANTIFICATIONBASELINESPEED_SCD: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.CARGILL_SIMBUNKER_QUANTIFICATIONBASELINESPEED_SCD"} */
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization >     describe table "DEV_LANDING"._AIRBYTE_CARGILL."SIMBUNKER_QUANTIFICATIONBASELINESPEED_STG"
2022-07-13 00:43:31 normalization > 00:36:59.909828 [debug] [Thread-1  ]: On model.airbyte_utils.MT_SPEED_SPEEDVOYAGELEGMETRICS: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.MT_SPEED_SPEEDVOYAGELEGMETRICS"} */
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization >     describe table "DEV_LANDING".MT."SPEED_SPEEDVOYAGELEGMETRICS"
2022-07-13 00:43:31 normalization > 00:36:59.974803 [debug] [Thread-1  ]: SQL status: SUCCESS 14 in 0.06 seconds
2022-07-13 00:43:31 normalization > 00:36:59.976060 [debug] [Thread-5  ]: SQL status: SUCCESS 11 in 0.07 seconds
2022-07-13 00:43:31 normalization > 00:36:59.990173 [debug] [Thread-5  ]: Using snowflake connection "model.airbyte_utils.CARGILL_SIMBUNKER_QUANTIFICATIONBASELINESPEED_SCD"
2022-07-13 00:43:31 normalization > 00:36:59.995972 [debug] [Thread-5  ]: On model.airbyte_utils.CARGILL_SIMBUNKER_QUANTIFICATIONBASELINESPEED_SCD: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.CARGILL_SIMBUNKER_QUANTIFICATIONBASELINESPEED_SCD"} */
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization >     describe table "DEV_LANDING"._AIRBYTE_CARGILL."SIMBUNKER_QUANTIFICATIONBASELINESPEED_STG"
2022-07-13 00:43:31 normalization > 00:36:59.996535 [debug] [Thread-1  ]: Using snowflake connection "model.airbyte_utils.MT_SPEED_SPEEDVOYAGELEGMETRICS"
2022-07-13 00:43:31 normalization > 00:37:00.001446 [debug] [Thread-1  ]: On model.airbyte_utils.MT_SPEED_SPEEDVOYAGELEGMETRICS: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.MT_SPEED_SPEEDVOYAGELEGMETRICS"} */
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization >     describe table "DEV_LANDING".MT."SPEED_SPEEDVOYAGELEGMETRICS__dbt_tmp"
2022-07-13 00:43:31 normalization > 00:37:00.035493 [debug] [Thread-1  ]: SQL status: SUCCESS 14 in 0.03 seconds
2022-07-13 00:43:31 normalization > 00:37:00.043535 [debug] [Thread-1  ]: Using snowflake connection "model.airbyte_utils.MT_SPEED_SPEEDVOYAGELEGMETRICS"
2022-07-13 00:43:31 normalization > 00:37:00.044782 [debug] [Thread-1  ]: On model.airbyte_utils.MT_SPEED_SPEEDVOYAGELEGMETRICS: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.MT_SPEED_SPEEDVOYAGELEGMETRICS"} */
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization >     describe table "DEV_LANDING"."MT"."SPEED_SPEEDVOYAGELEGMETRICS"
2022-07-13 00:43:31 normalization > 00:37:00.045587 [debug] [Thread-5  ]: SQL status: SUCCESS 11 in 0.05 seconds
2022-07-13 00:43:31 normalization > 00:37:00.058669 [debug] [Thread-5  ]: Writing injected SQL for node "model.airbyte_utils.CARGILL_SIMBUNKER_QUANTIFICATIONBASELINESPEED_SCD"
2022-07-13 00:43:31 normalization > 00:37:00.059761 [debug] [Thread-5  ]: finished collecting timing info
2022-07-13 00:43:31 normalization > 00:37:00.060063 [debug] [Thread-5  ]: Began executing node model.airbyte_utils.CARGILL_SIMBUNKER_QUANTIFICATIONBASELINESPEED_SCD
2022-07-13 00:43:31 normalization > 00:37:00.069744 [debug] [Thread-5  ]: Using snowflake connection "model.airbyte_utils.CARGILL_SIMBUNKER_QUANTIFICATIONBASELINESPEED_SCD"
2022-07-13 00:43:31 normalization > 00:37:00.070136 [debug] [Thread-5  ]: On model.airbyte_utils.CARGILL_SIMBUNKER_QUANTIFICATIONBASELINESPEED_SCD: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.CARGILL_SIMBUNKER_QUANTIFICATIONBASELINESPEED_SCD"} */
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization >     describe table "DEV_LANDING".CARGILL."SIMBUNKER_QUANTIFICATIONBASELINESPEED_SCD"
2022-07-13 00:43:31 normalization > 00:37:00.089007 [debug] [Thread-1  ]: SQL status: SUCCESS 14 in 0.04 seconds
2022-07-13 00:43:31 normalization > 00:37:00.096414 [debug] [Thread-1  ]: 
2022-07-13 00:43:31 normalization >     In "DEV_LANDING"."MT"."SPEED_SPEEDVOYAGELEGMETRICS":
2022-07-13 00:43:31 normalization >         Schema changed: False
2022-07-13 00:43:31 normalization >         Source columns not in target: []
2022-07-13 00:43:31 normalization >         Target columns not in source: []
2022-07-13 00:43:31 normalization >         New column types: []
2022-07-13 00:43:31 normalization >   
2022-07-13 00:43:31 normalization > 00:37:00.099299 [debug] [Thread-1  ]: Writing runtime SQL for node "model.airbyte_utils.MT_SPEED_SPEEDVOYAGELEGMETRICS"
2022-07-13 00:43:31 normalization > 00:37:00.102347 [debug] [Thread-1  ]: Using snowflake connection "model.airbyte_utils.MT_SPEED_SPEEDVOYAGELEGMETRICS"
2022-07-13 00:43:31 normalization > 00:37:00.102720 [debug] [Thread-1  ]: On model.airbyte_utils.MT_SPEED_SPEEDVOYAGELEGMETRICS: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.MT_SPEED_SPEEDVOYAGELEGMETRICS"} */
2022-07-13 00:43:31 normalization > begin;
2022-07-13 00:43:31 normalization > 00:37:00.137056 [debug] [Thread-5  ]: SQL status: SUCCESS 16 in 0.07 seconds
2022-07-13 00:43:31 normalization > 00:37:00.186750 [debug] [Thread-1  ]: SQL status: SUCCESS 1 in 0.08 seconds
2022-07-13 00:43:31 normalization > 00:37:00.187245 [debug] [Thread-1  ]: Using snowflake connection "model.airbyte_utils.MT_SPEED_SPEEDVOYAGELEGMETRICS"
2022-07-13 00:43:31 normalization > 00:37:00.187521 [debug] [Thread-1  ]: On model.airbyte_utils.MT_SPEED_SPEEDVOYAGELEGMETRICS: merge into "DEV_LANDING".MT."SPEED_SPEEDVOYAGELEGMETRICS" as DBT_INTERNAL_DEST
2022-07-13 00:43:31 normalization >         using "DEV_LANDING".MT."SPEED_SPEEDVOYAGELEGMETRICS__dbt_tmp" as DBT_INTERNAL_SOURCE
2022-07-13 00:43:31 normalization >         on 
2022-07-13 00:43:31 normalization >             DBT_INTERNAL_SOURCE._AIRBYTE_AB_ID = DBT_INTERNAL_DEST._AIRBYTE_AB_ID
2022-07-13 00:43:31 normalization >         
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization >     
2022-07-13 00:43:31 normalization >     when matched then update set
2022-07-13 00:43:31 normalization >         "ID" = DBT_INTERNAL_SOURCE."ID","CREATED_AT" = DBT_INTERNAL_SOURCE."CREATED_AT","UPDATED_AT" = DBT_INTERNAL_SOURCE."UPDATED_AT","VOYAGE_LEG_ID" = DBT_INTERNAL_SOURCE."VOYAGE_LEG_ID","N_AIS_READINGS" = DBT_INTERNAL_SOURCE."N_AIS_READINGS","REPLACED_AFTER_HOURS" = DBT_INTERNAL_SOURCE."REPLACED_AFTER_HOURS","MAX_DISTANCE_TO_ROUTE" = DBT_INTERNAL_SOURCE."MAX_DISTANCE_TO_ROUTE","MEAN_DISTANCE_TO_ROUTE" = DBT_INTERNAL_SOURCE."MEAN_DISTANCE_TO_ROUTE","MAX_DISTANCE_TO_SPEEDPLAN" = DBT_INTERNAL_SOURCE."MAX_DISTANCE_TO_SPEEDPLAN","MEAN_DISTANCE_TO_SPEEDPLAN" = DBT_INTERNAL_SOURCE."MEAN_DISTANCE_TO_SPEEDPLAN","_AIRBYTE_AB_ID" = DBT_INTERNAL_SOURCE."_AIRBYTE_AB_ID","_AIRBYTE_EMITTED_AT" = DBT_INTERNAL_SOURCE."_AIRBYTE_EMITTED_AT","_AIRBYTE_NORMALIZED_AT" = DBT_INTERNAL_SOURCE."_AIRBYTE_NORMALIZED_AT","_AIRBYTE_SPEED_SPEEDVOYAGELEGMETRICS_HASHID" = DBT_INTERNAL_SOURCE."_AIRBYTE_SPEED_SPEEDVOYAGELEGMETRICS_HASHID"
2022-07-13 00:43:31 normalization >     
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization >     when not matched then insert
2022-07-13 00:43:31 normalization >         ("ID", "CREATED_AT", "UPDATED_AT", "VOYAGE_LEG_ID", "N_AIS_READINGS", "REPLACED_AFTER_HOURS", "MAX_DISTANCE_TO_ROUTE", "MEAN_DISTANCE_TO_ROUTE", "MAX_DISTANCE_TO_SPEEDPLAN", "MEAN_DISTANCE_TO_SPEEDPLAN", "_AIRBYTE_AB_ID", "_AIRBYTE_EMITTED_AT", "_AIRBYTE_NORMALIZED_AT", "_AIRBYTE_SPEED_SPEEDVOYAGELEGMETRICS_HASHID")
2022-07-13 00:43:31 normalization >     values
2022-07-13 00:43:31 normalization >         ("ID", "CREATED_AT", "UPDATED_AT", "VOYAGE_LEG_ID", "N_AIS_READINGS", "REPLACED_AFTER_HOURS", "MAX_DISTANCE_TO_ROUTE", "MEAN_DISTANCE_TO_ROUTE", "MAX_DISTANCE_TO_SPEEDPLAN", "MEAN_DISTANCE_TO_SPEEDPLAN", "_AIRBYTE_AB_ID", "_AIRBYTE_EMITTED_AT", "_AIRBYTE_NORMALIZED_AT", "_AIRBYTE_SPEED_SPEEDVOYAGELEGMETRICS_HASHID")
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization > ;
2022-07-13 00:43:31 normalization > 00:37:00.214666 [debug] [Thread-5  ]: Using snowflake connection "model.airbyte_utils.CARGILL_SIMBUNKER_QUANTIFICATIONBASELINESPEED_SCD"
2022-07-13 00:43:31 normalization > 00:37:00.216601 [debug] [Thread-5  ]: On model.airbyte_utils.CARGILL_SIMBUNKER_QUANTIFICATIONBASELINESPEED_SCD: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.CARGILL_SIMBUNKER_QUANTIFICATIONBASELINESPEED_SCD"} */
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization >     
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization >       create or replace temporary table "DEV_LANDING".CARGILL."SIMBUNKER_QUANTIFICATIONBASELINESPEED_SCD__dbt_tmp"  as
2022-07-13 00:43:31 normalization >       (select * from(
2022-07-13 00:43:31 normalization >             
2022-07-13 00:43:31 normalization > -- depends_on: ref('_AIRBYTE_CARGILL_SIMBUNKER_QUANTIFICATIONBASELINESPEED_STG')
2022-07-13 00:43:31 normalization > with
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization > new_data as (
2022-07-13 00:43:31 normalization >     -- retrieve incremental "new" data
2022-07-13 00:43:31 normalization >     select
2022-07-13 00:43:31 normalization >         *
2022-07-13 00:43:31 normalization >     from "DEV_LANDING"._AIRBYTE_CARGILL."SIMBUNKER_QUANTIFICATIONBASELINESPEED_STG"
2022-07-13 00:43:31 normalization >     -- SIMBUNKER_QUANTIFICATIONBASELINESPEED from "DEV_LANDING".CARGILL._AIRBYTE_RAW_SIMBUNKER_QUANTIFICATIONBASELINESPEED
2022-07-13 00:43:31 normalization >     where 1 = 1
2022-07-13 00:43:31 normalization >     
2022-07-13 00:43:31 normalization >     
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization > ),
2022-07-13 00:43:31 normalization > new_data_ids as (
2022-07-13 00:43:31 normalization >     -- build a subset of _AIRBYTE_UNIQUE_KEY from rows that are new
2022-07-13 00:43:31 normalization >     select distinct
2022-07-13 00:43:31 normalization >         md5(cast(coalesce(cast(ID as 
2022-07-13 00:43:31 normalization >     varchar
2022-07-13 00:43:31 normalization > ), '') as 
2022-07-13 00:43:31 normalization >     varchar
2022-07-13 00:43:31 normalization > )) as _AIRBYTE_UNIQUE_KEY
2022-07-13 00:43:31 normalization >     from new_data
2022-07-13 00:43:31 normalization > ),
2022-07-13 00:43:31 normalization > empty_new_data as (
2022-07-13 00:43:31 normalization >     -- build an empty table to only keep the table's column types
2022-07-13 00:43:31 normalization >     select * from new_data where 1 = 0
2022-07-13 00:43:31 normalization > ),
2022-07-13 00:43:31 normalization > previous_active_scd_data as (
2022-07-13 00:43:31 normalization >     -- retrieve "incomplete old" data that needs to be updated with an end date because of new changes
2022-07-13 00:43:31 normalization >     select
2022-07-13 00:43:31 normalization >         this_data."_AIRBYTE_SIMBUNKER_QUANTIFICATIONBASELINESPEED_HASHID",
2022-07-13 00:43:31 normalization >   this_data."ID",
2022-07-13 00:43:31 normalization >   this_data."SPEEDS",
2022-07-13 00:43:31 normalization >   this_data."_ETL_ID",
2022-07-13 00:43:31 normalization >   this_data."SEGMENT",
2022-07-13 00:43:31 normalization >   this_data."CREATED_AT",
2022-07-13 00:43:31 normalization >   this_data."SAVING_LEG",
2022-07-13 00:43:31 normalization >   this_data."UPDATED_AT",
2022-07-13 00:43:31 normalization >   this_data."_AIRBYTE_AB_ID",
2022-07-13 00:43:31 normalization >   this_data."_AIRBYTE_EMITTED_AT",
2022-07-13 00:43:31 normalization >   this_data."_AIRBYTE_NORMALIZED_AT"
2022-07-13 00:43:31 normalization >     from "DEV_LANDING".CARGILL."SIMBUNKER_QUANTIFICATIONBASELINESPEED_SCD" as this_data
2022-07-13 00:43:31 normalization >     -- make a join with new_data using primary key to filter active data that need to be updated only
2022-07-13 00:43:31 normalization >     join new_data_ids on this_data._AIRBYTE_UNIQUE_KEY = new_data_ids._AIRBYTE_UNIQUE_KEY
2022-07-13 00:43:31 normalization >     -- force left join to NULL values (we just need to transfer column types only for the star_intersect macro on schema changes)
2022-07-13 00:43:31 normalization >     left join empty_new_data as inc_data on this_data._AIRBYTE_AB_ID = inc_data._AIRBYTE_AB_ID
2022-07-13 00:43:31 normalization >     where _AIRBYTE_ACTIVE_ROW = 1
2022-07-13 00:43:31 normalization > ),
2022-07-13 00:43:31 normalization > input_data as (
2022-07-13 00:43:31 normalization >     select "_AIRBYTE_SIMBUNKER_QUANTIFICATIONBASELINESPEED_HASHID",
2022-07-13 00:43:31 normalization >   "ID",
2022-07-13 00:43:31 normalization >   "SPEEDS",
2022-07-13 00:43:31 normalization >   "_ETL_ID",
2022-07-13 00:43:31 normalization >   "SEGMENT",
2022-07-13 00:43:31 normalization >   "CREATED_AT",
2022-07-13 00:43:31 normalization >   "SAVING_LEG",
2022-07-13 00:43:31 normalization >   "UPDATED_AT",
2022-07-13 00:43:31 normalization >   "_AIRBYTE_AB_ID",
2022-07-13 00:43:31 normalization >   "_AIRBYTE_EMITTED_AT",
2022-07-13 00:43:31 normalization >   "_AIRBYTE_NORMALIZED_AT" from new_data
2022-07-13 00:43:31 normalization >     union all
2022-07-13 00:43:31 normalization >     select "_AIRBYTE_SIMBUNKER_QUANTIFICATIONBASELINESPEED_HASHID",
2022-07-13 00:43:31 normalization >   "ID",
2022-07-13 00:43:31 normalization >   "SPEEDS",
2022-07-13 00:43:31 normalization >   "_ETL_ID",
2022-07-13 00:43:31 normalization >   "SEGMENT",
2022-07-13 00:43:31 normalization >   "CREATED_AT",
2022-07-13 00:43:31 normalization >   "SAVING_LEG",
2022-07-13 00:43:31 normalization >   "UPDATED_AT",
2022-07-13 00:43:31 normalization >   "_AIRBYTE_AB_ID",
2022-07-13 00:43:31 normalization >   "_AIRBYTE_EMITTED_AT",
2022-07-13 00:43:31 normalization >   "_AIRBYTE_NORMALIZED_AT" from previous_active_scd_data
2022-07-13 00:43:31 normalization > ),
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization > scd_data as (
2022-07-13 00:43:31 normalization >     -- SQL model to build a Type 2 Slowly Changing Dimension (SCD) table for each record identified by their primary key
2022-07-13 00:43:31 normalization >     select
2022-07-13 00:43:31 normalization >       md5(cast(coalesce(cast(ID as 
2022-07-13 00:43:31 normalization >     varchar
2022-07-13 00:43:31 normalization > ), '') as 
2022-07-13 00:43:31 normalization >     varchar
2022-07-13 00:43:31 normalization > )) as _AIRBYTE_UNIQUE_KEY,
2022-07-13 00:43:31 normalization >       ID,
2022-07-13 00:43:31 normalization >       SPEEDS,
2022-07-13 00:43:31 normalization >       _ETL_ID,
2022-07-13 00:43:31 normalization >       SEGMENT,
2022-07-13 00:43:31 normalization >       CREATED_AT,
2022-07-13 00:43:31 normalization >       SAVING_LEG,
2022-07-13 00:43:31 normalization >       UPDATED_AT,
2022-07-13 00:43:31 normalization >       UPDATED_AT as _AIRBYTE_START_AT,
2022-07-13 00:43:31 normalization >       lag(UPDATED_AT) over (
2022-07-13 00:43:31 normalization >         partition by ID
2022-07-13 00:43:31 normalization >         order by
2022-07-13 00:43:31 normalization >             UPDATED_AT is null asc,
2022-07-13 00:43:31 normalization >             UPDATED_AT desc,
2022-07-13 00:43:31 normalization >             _AIRBYTE_EMITTED_AT desc
2022-07-13 00:43:31 normalization >       ) as _AIRBYTE_END_AT,
2022-07-13 00:43:31 normalization >       case when row_number() over (
2022-07-13 00:43:31 normalization >         partition by ID
2022-07-13 00:43:31 normalization >         order by
2022-07-13 00:43:31 normalization >             UPDATED_AT is null asc,
2022-07-13 00:43:31 normalization >             UPDATED_AT desc,
2022-07-13 00:43:31 normalization >             _AIRBYTE_EMITTED_AT desc
2022-07-13 00:43:31 normalization >       ) = 1 then 1 else 0 end as _AIRBYTE_ACTIVE_ROW,
2022-07-13 00:43:31 normalization >       _AIRBYTE_AB_ID,
2022-07-13 00:43:31 normalization >       _AIRBYTE_EMITTED_AT,
2022-07-13 00:43:31 normalization >       _AIRBYTE_SIMBUNKER_QUANTIFICATIONBASELINESPEED_HASHID
2022-07-13 00:43:31 normalization >     from input_data
2022-07-13 00:43:31 normalization > ),
2022-07-13 00:43:31 normalization > dedup_data as (
2022-07-13 00:43:31 normalization >     select
2022-07-13 00:43:31 normalization >         -- we need to ensure de-duplicated rows for merge/update queries
2022-07-13 00:43:31 normalization >         -- additionally, we generate a unique key for the scd table
2022-07-13 00:43:31 normalization >         row_number() over (
2022-07-13 00:43:31 normalization >             partition by
2022-07-13 00:43:31 normalization >                 _AIRBYTE_UNIQUE_KEY,
2022-07-13 00:43:31 normalization >                 _AIRBYTE_START_AT,
2022-07-13 00:43:31 normalization >                 _AIRBYTE_EMITTED_AT
2022-07-13 00:43:31 normalization >             order by _AIRBYTE_ACTIVE_ROW desc, _AIRBYTE_AB_ID
2022-07-13 00:43:31 normalization >         ) as _AIRBYTE_ROW_NUM,
2022-07-13 00:43:31 normalization >         md5(cast(coalesce(cast(_AIRBYTE_UNIQUE_KEY as 
2022-07-13 00:43:31 normalization >     varchar
2022-07-13 00:43:31 normalization > ), '') || '-' || coalesce(cast(_AIRBYTE_START_AT as 
2022-07-13 00:43:31 normalization >     varchar
2022-07-13 00:43:31 normalization > ), '') || '-' || coalesce(cast(_AIRBYTE_EMITTED_AT as 
2022-07-13 00:43:31 normalization >     varchar
2022-07-13 00:43:31 normalization > ), '') as 
2022-07-13 00:43:31 normalization >     varchar
2022-07-13 00:43:31 normalization > )) as _AIRBYTE_UNIQUE_KEY_SCD,
2022-07-13 00:43:31 normalization >         scd_data.*
2022-07-13 00:43:31 normalization >     from scd_data
2022-07-13 00:43:31 normalization > )
2022-07-13 00:43:31 normalization > select
2022-07-13 00:43:31 normalization >     _AIRBYTE_UNIQUE_KEY,
2022-07-13 00:43:31 normalization >     _AIRBYTE_UNIQUE_KEY_SCD,
2022-07-13 00:43:31 normalization >     ID,
2022-07-13 00:43:31 normalization >     SPEEDS,
2022-07-13 00:43:31 normalization >     _ETL_ID,
2022-07-13 00:43:31 normalization >     SEGMENT,
2022-07-13 00:43:31 normalization >     CREATED_AT,
2022-07-13 00:43:31 normalization >     SAVING_LEG,
2022-07-13 00:43:31 normalization >     UPDATED_AT,
2022-07-13 00:43:31 normalization >     _AIRBYTE_START_AT,
2022-07-13 00:43:31 normalization >     _AIRBYTE_END_AT,
2022-07-13 00:43:31 normalization >     _AIRBYTE_ACTIVE_ROW,
2022-07-13 00:43:31 normalization >     _AIRBYTE_AB_ID,
2022-07-13 00:43:31 normalization >     _AIRBYTE_EMITTED_AT,
2022-07-13 00:43:31 normalization >     convert_timezone('UTC', current_timestamp()) as _AIRBYTE_NORMALIZED_AT,
2022-07-13 00:43:31 normalization >     _AIRBYTE_SIMBUNKER_QUANTIFICATIONBASELINESPEED_HASHID
2022-07-13 00:43:31 normalization > from dedup_data where _AIRBYTE_ROW_NUM = 1
2022-07-13 00:43:31 normalization >             ) order by (_AIRBYTE_ACTIVE_ROW, _AIRBYTE_UNIQUE_KEY_SCD, _AIRBYTE_EMITTED_AT)
2022-07-13 00:43:31 normalization >       );
2022-07-13 00:43:31 normalization > 00:37:00.905027 [debug] [Thread-5  ]: SQL status: SUCCESS 1 in 0.69 seconds
2022-07-13 00:43:31 normalization > 00:37:00.911830 [debug] [Thread-5  ]: Using snowflake connection "model.airbyte_utils.CARGILL_SIMBUNKER_QUANTIFICATIONBASELINESPEED_SCD"
2022-07-13 00:43:31 normalization > 00:37:00.912448 [debug] [Thread-5  ]: On model.airbyte_utils.CARGILL_SIMBUNKER_QUANTIFICATIONBASELINESPEED_SCD: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.CARGILL_SIMBUNKER_QUANTIFICATIONBASELINESPEED_SCD"} */
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization >     describe table "DEV_LANDING".CARGILL."SIMBUNKER_QUANTIFICATIONBASELINESPEED_SCD__dbt_tmp"
2022-07-13 00:43:31 normalization > 00:37:00.963757 [debug] [Thread-5  ]: SQL status: SUCCESS 16 in 0.05 seconds
2022-07-13 00:43:31 normalization > 00:37:00.975507 [debug] [Thread-5  ]: Using snowflake connection "model.airbyte_utils.CARGILL_SIMBUNKER_QUANTIFICATIONBASELINESPEED_SCD"
2022-07-13 00:43:31 normalization > 00:37:00.975928 [debug] [Thread-5  ]: On model.airbyte_utils.CARGILL_SIMBUNKER_QUANTIFICATIONBASELINESPEED_SCD: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.CARGILL_SIMBUNKER_QUANTIFICATIONBASELINESPEED_SCD"} */
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization >     describe table "DEV_LANDING".CARGILL."SIMBUNKER_QUANTIFICATIONBASELINESPEED_SCD"
2022-07-13 00:43:31 normalization > 00:37:01.015613 [debug] [Thread-5  ]: SQL status: SUCCESS 16 in 0.04 seconds
2022-07-13 00:43:31 normalization > 00:37:01.030591 [debug] [Thread-5  ]: Using snowflake connection "model.airbyte_utils.CARGILL_SIMBUNKER_QUANTIFICATIONBASELINESPEED_SCD"
2022-07-13 00:43:31 normalization > 00:37:01.031322 [debug] [Thread-5  ]: On model.airbyte_utils.CARGILL_SIMBUNKER_QUANTIFICATIONBASELINESPEED_SCD: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.CARGILL_SIMBUNKER_QUANTIFICATIONBASELINESPEED_SCD"} */
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization >     describe table "DEV_LANDING".CARGILL."SIMBUNKER_QUANTIFICATIONBASELINESPEED_SCD__dbt_tmp"
2022-07-13 00:43:31 normalization > 00:37:01.080053 [debug] [Thread-5  ]: SQL status: SUCCESS 16 in 0.05 seconds
2022-07-13 00:43:31 normalization > 00:37:01.088518 [debug] [Thread-5  ]: Using snowflake connection "model.airbyte_utils.CARGILL_SIMBUNKER_QUANTIFICATIONBASELINESPEED_SCD"
2022-07-13 00:43:31 normalization > 00:37:01.089080 [debug] [Thread-5  ]: On model.airbyte_utils.CARGILL_SIMBUNKER_QUANTIFICATIONBASELINESPEED_SCD: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.CARGILL_SIMBUNKER_QUANTIFICATIONBASELINESPEED_SCD"} */
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization >     describe table "DEV_LANDING"."CARGILL"."SIMBUNKER_QUANTIFICATIONBASELINESPEED_SCD"
2022-07-13 00:43:31 normalization > 00:37:01.128307 [debug] [Thread-5  ]: SQL status: SUCCESS 16 in 0.04 seconds
2022-07-13 00:43:31 normalization > 00:37:01.135508 [debug] [Thread-5  ]: 
2022-07-13 00:43:31 normalization >     In "DEV_LANDING"."CARGILL"."SIMBUNKER_QUANTIFICATIONBASELINESPEED_SCD":
2022-07-13 00:43:31 normalization >         Schema changed: False
2022-07-13 00:43:31 normalization >         Source columns not in target: []
2022-07-13 00:43:31 normalization >         Target columns not in source: []
2022-07-13 00:43:31 normalization >         New column types: []
2022-07-13 00:43:31 normalization >   
2022-07-13 00:43:31 normalization > 00:37:01.139193 [debug] [Thread-5  ]: Writing runtime SQL for node "model.airbyte_utils.CARGILL_SIMBUNKER_QUANTIFICATIONBASELINESPEED_SCD"
2022-07-13 00:43:31 normalization > 00:37:01.142036 [debug] [Thread-5  ]: Using snowflake connection "model.airbyte_utils.CARGILL_SIMBUNKER_QUANTIFICATIONBASELINESPEED_SCD"
2022-07-13 00:43:31 normalization > 00:37:01.142346 [debug] [Thread-5  ]: On model.airbyte_utils.CARGILL_SIMBUNKER_QUANTIFICATIONBASELINESPEED_SCD: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.CARGILL_SIMBUNKER_QUANTIFICATIONBASELINESPEED_SCD"} */
2022-07-13 00:43:31 normalization > begin;
2022-07-13 00:43:31 normalization > 00:37:01.198486 [debug] [Thread-5  ]: SQL status: SUCCESS 1 in 0.06 seconds
2022-07-13 00:43:31 normalization > 00:37:01.199110 [debug] [Thread-5  ]: Using snowflake connection "model.airbyte_utils.CARGILL_SIMBUNKER_QUANTIFICATIONBASELINESPEED_SCD"
2022-07-13 00:43:31 normalization > 00:37:01.199379 [debug] [Thread-5  ]: On model.airbyte_utils.CARGILL_SIMBUNKER_QUANTIFICATIONBASELINESPEED_SCD: merge into "DEV_LANDING".CARGILL."SIMBUNKER_QUANTIFICATIONBASELINESPEED_SCD" as DBT_INTERNAL_DEST
2022-07-13 00:43:31 normalization >         using "DEV_LANDING".CARGILL."SIMBUNKER_QUANTIFICATIONBASELINESPEED_SCD__dbt_tmp" as DBT_INTERNAL_SOURCE
2022-07-13 00:43:31 normalization >         on 
2022-07-13 00:43:31 normalization >             DBT_INTERNAL_SOURCE._AIRBYTE_UNIQUE_KEY_SCD = DBT_INTERNAL_DEST._AIRBYTE_UNIQUE_KEY_SCD
2022-07-13 00:43:31 normalization >         
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization >     
2022-07-13 00:43:31 normalization >     when matched then update set
2022-07-13 00:43:31 normalization >         "_AIRBYTE_UNIQUE_KEY" = DBT_INTERNAL_SOURCE."_AIRBYTE_UNIQUE_KEY","_AIRBYTE_UNIQUE_KEY_SCD" = DBT_INTERNAL_SOURCE."_AIRBYTE_UNIQUE_KEY_SCD","ID" = DBT_INTERNAL_SOURCE."ID","SPEEDS" = DBT_INTERNAL_SOURCE."SPEEDS","_ETL_ID" = DBT_INTERNAL_SOURCE."_ETL_ID","SEGMENT" = DBT_INTERNAL_SOURCE."SEGMENT","CREATED_AT" = DBT_INTERNAL_SOURCE."CREATED_AT","SAVING_LEG" = DBT_INTERNAL_SOURCE."SAVING_LEG","UPDATED_AT" = DBT_INTERNAL_SOURCE."UPDATED_AT","_AIRBYTE_START_AT" = DBT_INTERNAL_SOURCE."_AIRBYTE_START_AT","_AIRBYTE_END_AT" = DBT_INTERNAL_SOURCE."_AIRBYTE_END_AT","_AIRBYTE_ACTIVE_ROW" = DBT_INTERNAL_SOURCE."_AIRBYTE_ACTIVE_ROW","_AIRBYTE_AB_ID" = DBT_INTERNAL_SOURCE."_AIRBYTE_AB_ID","_AIRBYTE_EMITTED_AT" = DBT_INTERNAL_SOURCE."_AIRBYTE_EMITTED_AT","_AIRBYTE_NORMALIZED_AT" = DBT_INTERNAL_SOURCE."_AIRBYTE_NORMALIZED_AT","_AIRBYTE_SIMBUNKER_QUANTIFICATIONBASELINESPEED_HASHID" = DBT_INTERNAL_SOURCE."_AIRBYTE_SIMBUNKER_QUANTIFICATIONBASELINESPEED_HASHID"
2022-07-13 00:43:31 normalization >     
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization >     when not matched then insert
2022-07-13 00:43:31 normalization >         ("_AIRBYTE_UNIQUE_KEY", "_AIRBYTE_UNIQUE_KEY_SCD", "ID", "SPEEDS", "_ETL_ID", "SEGMENT", "CREATED_AT", "SAVING_LEG", "UPDATED_AT", "_AIRBYTE_START_AT", "_AIRBYTE_END_AT", "_AIRBYTE_ACTIVE_ROW", "_AIRBYTE_AB_ID", "_AIRBYTE_EMITTED_AT", "_AIRBYTE_NORMALIZED_AT", "_AIRBYTE_SIMBUNKER_QUANTIFICATIONBASELINESPEED_HASHID")
2022-07-13 00:43:31 normalization >     values
2022-07-13 00:43:31 normalization >         ("_AIRBYTE_UNIQUE_KEY", "_AIRBYTE_UNIQUE_KEY_SCD", "ID", "SPEEDS", "_ETL_ID", "SEGMENT", "CREATED_AT", "SAVING_LEG", "UPDATED_AT", "_AIRBYTE_START_AT", "_AIRBYTE_END_AT", "_AIRBYTE_ACTIVE_ROW", "_AIRBYTE_AB_ID", "_AIRBYTE_EMITTED_AT", "_AIRBYTE_NORMALIZED_AT", "_AIRBYTE_SIMBUNKER_QUANTIFICATIONBASELINESPEED_HASHID")
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization > ;
2022-07-13 00:43:31 normalization > 00:37:01.658197 [debug] [Thread-5  ]: SQL status: SUCCESS 0 in 0.46 seconds
2022-07-13 00:43:31 normalization > 00:37:01.658720 [debug] [Thread-5  ]: Using snowflake connection "model.airbyte_utils.CARGILL_SIMBUNKER_QUANTIFICATIONBASELINESPEED_SCD"
2022-07-13 00:43:31 normalization > 00:37:01.658996 [debug] [Thread-5  ]: On model.airbyte_utils.CARGILL_SIMBUNKER_QUANTIFICATIONBASELINESPEED_SCD: commit;
2022-07-13 00:43:31 normalization > 00:37:01.725332 [debug] [Thread-1  ]: SQL status: SUCCESS 19526 in 1.54 seconds
2022-07-13 00:43:31 normalization > 00:37:01.725766 [debug] [Thread-1  ]: Using snowflake connection "model.airbyte_utils.MT_SPEED_SPEEDVOYAGELEGMETRICS"
2022-07-13 00:43:31 normalization > 00:37:01.726038 [debug] [Thread-1  ]: On model.airbyte_utils.MT_SPEED_SPEEDVOYAGELEGMETRICS: commit;
2022-07-13 00:43:31 normalization > 00:37:01.780944 [debug] [Thread-5  ]: SQL status: SUCCESS 1 in 0.12 seconds
2022-07-13 00:43:31 normalization > 00:37:01.852309 [debug] [Thread-5  ]: Using snowflake connection "model.airbyte_utils.CARGILL_SIMBUNKER_QUANTIFICATIONBASELINESPEED_SCD"
2022-07-13 00:43:31 normalization > 00:37:01.852719 [debug] [Thread-5  ]: On model.airbyte_utils.CARGILL_SIMBUNKER_QUANTIFICATIONBASELINESPEED_SCD: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.CARGILL_SIMBUNKER_QUANTIFICATIONBASELINESPEED_SCD"} */
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization >         -- We have to have a non-empty query, so just do a noop delete
2022-07-13 00:43:31 normalization >                     delete from "DEV_LANDING".CARGILL."SIMBUNKER_QUANTIFICATIONBASELINESPEED_SCD" where 1=0
2022-07-13 00:43:31 normalization > 00:37:01.914455 [debug] [Thread-1  ]: SQL status: SUCCESS 1 in 0.19 seconds
2022-07-13 00:43:31 normalization > 00:37:02.154864 [debug] [Thread-5  ]: SQL status: SUCCESS 0 in 0.3 seconds
2022-07-13 00:43:31 normalization > 00:37:02.156952 [debug] [Thread-1  ]: finished collecting timing info
2022-07-13 00:43:31 normalization > 00:37:02.159509 [debug] [Thread-5  ]: Using snowflake connection "model.airbyte_utils.CARGILL_SIMBUNKER_QUANTIFICATIONBASELINESPEED_SCD"
2022-07-13 00:43:31 normalization > 00:37:02.160296 [debug] [Thread-1  ]: On model.airbyte_utils.MT_SPEED_SPEEDVOYAGELEGMETRICS: Close
2022-07-13 00:43:31 normalization > 00:37:02.160807 [debug] [Thread-5  ]: On model.airbyte_utils.CARGILL_SIMBUNKER_QUANTIFICATIONBASELINESPEED_SCD: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.CARGILL_SIMBUNKER_QUANTIFICATIONBASELINESPEED_SCD"} */
2022-07-13 00:43:31 normalization > 
2022-07-13 00:43:31 normalization >         drop view _AIRBYTE_CARGILL.CARGILL_SIMBUNKER_QUANTIFICATIONBASELINESPEED_STG
2022-07-13 00:43:31 normalization > 00:37:02.238943 [debug] [Thread-5  ]: Snowflake adapter: Snowflake query id: 01a59165-3201-b91a-0001-11ea00267abe
2022-07-13 00:43:31 normalization > 00:37:02.239564 [debug] [Thread-5  ]: Snowflake adapter: Snowflake error: 002003 (42S02): SQL compilation error:
2022-07-13 00:43:31 normalization > View 'DEV_LANDING._AIRBYTE_CARGILL.CARGILL_SIMBUNKER_QUANTIFICATIONBASELINESPEED_STG' does not exist or not authorized.
2022-07-13 00:43:31 normalization > 00:37:02.243795 [info ] [Thread-1  ]: 30 of 60 OK created incremental model MT.SPEED_SPEEDVOYAGELEGMETRICS.................................................... [SUCCESS 1 in 5.87s]
2022-07-13 00:43:31 normalization > 00:37:02.245788 [debug] [Thread-1  ]: Finished running node model.airbyte_utils.MT_SPEED_SPEEDVOYAGELEGMETRICS
2022-07-13 00:43:31 normalization > 00:37:02.244634 [debug] [Thread-5  ]: finished collecting timing info
2022-07-13 00:43:31 normalization > 00:37:02.246728 [debug] [Thread-1  ]: Began running node model.airbyte_utils.MT_SPEED_USERVESSEL
2022-07-13 00:43:31 normalization > 00:37:02.247710 [debug] [Thread-5  ]: On model.airbyte_utils.CARGILL_SIMBUNKER_QUANTIFICATIONBASELINESPEED_SCD: Close
2022-07-13 00:43:31 normalization > 00:37:02.248439 [info ] [Thread-1  ]: 32 of 60 START incremental model MT.SPEED_USERVESSEL.................................................................... [RUN]
2022-07-13 00:43:31 normalization > 00:37:02.258306 [debug] [Thread-1  ]: Acquiring new snowflake connection "model.airbyte_utils.MT_SPEED_USERVESSEL"
2022-07-13 00:43:31 normalization > 00:37:02.259368 [debug] [Thread-1  ]: Began compiling node model.airbyte_utils.MT_SPEED_USERVESSEL