2022-06-07 15:57:38 INFO i.a.v.j.JsonSchemaValidator(test):71 - JSON schema validation failed. 
errors: $.tunnel_method: must be a constant value NO_TUNNEL
2022-06-07 15:57:38 INFO i.a.v.j.JsonSchemaValidator(test):71 - JSON schema validation failed. 
errors: $.ssh_key: object found, string expected
2022-06-07 15:57:38 INFO i.a.v.j.JsonSchemaValidator(test):71 - JSON schema validation failed. 
errors: $.tunnel_user_password: is missing but it is required, $.tunnel_method: must be a constant value SSH_PASSWORD_AUTH
2022-06-07 15:57:38 INFO i.a.w.t.TemporalAttemptExecution(get):108 - Docker volume job log path: /tmp/workspace/18/0/logs.log
2022-06-07 15:57:38 INFO i.a.w.t.TemporalAttemptExecution(get):113 - Executing worker wrapper. Airbyte version: 0.39.10-alpha
2022-06-07 15:57:38 INFO i.a.c.i.LineGobbler(voidCall):82 - Checking if airbyte/source-mysql:0.5.11 exists...
2022-06-07 15:57:38 INFO i.a.c.i.LineGobbler(voidCall):82 - airbyte/source-mysql:0.5.11 was found locally.
2022-06-07 15:57:38 INFO i.a.w.p.DockerProcessFactory(create):108 - Creating docker job ID: 18
2022-06-07 15:57:38 INFO i.a.w.p.DockerProcessFactory(create):163 - Preparing command: docker run --rm --init -i -w /data/18/0 --log-driver none --name source-mysql-check-18-0-ksmhd --network host -v airbyte_workspace:/data -v /tmp/airbyte_local:/local -e WORKER_JOB_ATTEMPT=0 -e WORKER_CONNECTOR_IMAGE=airbyte/source-mysql:0.5.11 -e AIRBYTE_ROLE= -e WORKER_ENVIRONMENT=DOCKER -e AIRBYTE_VERSION=0.39.10-alpha -e WORKER_JOB_ID=18 airbyte/source-mysql:0.5.11 check --config source_config.json
2022-06-07 15:57:40 ERROR i.a.c.i.LineGobbler(voidCall):82 - SLF4J: Class path contains multiple SLF4J bindings.
2022-06-07 15:57:40 ERROR i.a.c.i.LineGobbler(voidCall):82 - SLF4J: Found binding in [jar:file:/airbyte/lib/log4j-slf4j-impl-2.17.1.jar!/org/slf4j/impl/StaticLoggerBinder.class]
2022-06-07 15:57:40 ERROR i.a.c.i.LineGobbler(voidCall):82 - SLF4J: Found binding in [jar:file:/airbyte/lib/slf4j-log4j12-1.7.30.jar!/org/slf4j/impl/StaticLoggerBinder.class]
2022-06-07 15:57:40 ERROR i.a.c.i.LineGobbler(voidCall):82 - SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation.
2022-06-07 15:57:41 ERROR i.a.c.i.LineGobbler(voidCall):82 - SLF4J: Actual binding is of type [org.apache.logging.slf4j.Log4jLoggerFactory]
2022-06-07 15:57:41 INFO i.a.w.i.DefaultAirbyteStreamFactory(lambda$create$0):61 - 2022-06-07 15:57:41 INFO i.a.i.s.m.MySqlSource(main):210 - starting source: class io.airbyte.integrations.source.mysql.MySqlSource
2022-06-07 15:57:41 INFO i.a.w.i.DefaultAirbyteStreamFactory(lambda$create$0):61 - 2022-06-07 15:57:41 INFO i.a.i.b.IntegrationCliParser(parseOptions):118 - integration args: {check=null, config=source_config.json}
2022-06-07 15:57:41 INFO i.a.w.i.DefaultAirbyteStreamFactory(lambda$create$0):61 - 2022-06-07 15:57:41 INFO i.a.i.b.IntegrationRunner(runInternal):121 - Running integration: io.airbyte.integrations.base.ssh.SshWrappedSource
2022-06-07 15:57:41 INFO i.a.w.i.DefaultAirbyteStreamFactory(lambda$create$0):61 - 2022-06-07 15:57:41 INFO i.a.i.b.IntegrationRunner(runInternal):122 - Command: CHECK
2022-06-07 15:57:41 INFO i.a.w.i.DefaultAirbyteStreamFactory(lambda$create$0):61 - 2022-06-07 15:57:41 INFO i.a.i.b.IntegrationRunner(runInternal):123 - Integration config: IntegrationConfig{command=CHECK, configPath='source_config.json', catalogPath='null', statePath='null'}
2022-06-07 15:57:41 INFO i.a.w.i.DefaultAirbyteStreamFactory(lambda$create$0):61 - 2022-06-07 15:57:41 WARN c.n.s.JsonMetaSchema(newValidator):338 - Unknown keyword order - you should define your own Meta Schema. If the keyword is irrelevant for validation, just use a NonValidationKeyword
2022-06-07 15:57:41 INFO i.a.w.i.DefaultAirbyteStreamFactory(lambda$create$0):61 - 2022-06-07 15:57:41 WARN c.n.s.JsonMetaSchema(newValidator):338 - Unknown keyword examples - you should define your own Meta Schema. If the keyword is irrelevant for validation, just use a NonValidationKeyword
2022-06-07 15:57:41 INFO i.a.w.i.DefaultAirbyteStreamFactory(lambda$create$0):61 - 2022-06-07 15:57:41 WARN c.n.s.JsonMetaSchema(newValidator):338 - Unknown keyword airbyte_secret - you should define your own Meta Schema. If the keyword is irrelevant for validation, just use a NonValidationKeyword
2022-06-07 15:57:41 INFO i.a.w.i.DefaultAirbyteStreamFactory(lambda$create$0):61 - 2022-06-07 15:57:41 WARN c.n.s.JsonMetaSchema(newValidator):338 - Unknown keyword multiline - you should define your own Meta Schema. If the keyword is irrelevant for validation, just use a NonValidationKeyword
2022-06-07 15:57:41 INFO i.a.w.i.DefaultAirbyteStreamFactory(lambda$create$0):61 - 2022-06-07 15:57:41 INFO i.a.i.b.s.SshTunnel(getInstance):170 - Starting connection with method: SSH_KEY_AUTH
2022-06-07 15:57:42 INFO i.a.w.i.DefaultAirbyteStreamFactory(lambda$create$0):61 - 2022-06-07 15:57:42 WARN o.a.s.c.k.StaticServerKeyVerifier(handleAcceptance):59 - Server at /91.185.184.31:22 presented unverified EC key: SHA256:W+ZPavPjrpAmhKKw7B61BEkTfTy/kYCJNypzhjMI5K0
2022-06-07 15:57:42 INFO i.a.w.i.DefaultAirbyteStreamFactory(lambda$create$0):61 - 2022-06-07 15:57:42 WARN o.a.s.c.u.l.LoggingUtils(warn):626 - globalRequest(ClientConnectionService[ClientSessionImpl[kacper-wozniak@/91.185.184.31:22]])[hostkeys-00@openssh.com, want-reply=false] failed (SshException) to process: EdDSA provider not supported
2022-06-07 15:57:42 INFO i.a.w.i.DefaultAirbyteStreamFactory(lambda$create$0):61 - 2022-06-07 15:57:42 INFO i.a.i.b.s.SshTunnel(openTunnel):287 - Established tunneling session.  Port forwarding started on /127.0.0.1:36081
2022-06-07 15:57:42 INFO i.a.w.i.DefaultAirbyteStreamFactory(lambda$create$0):61 - 2022-06-07 15:57:42 INFO i.a.i.s.j.AbstractJdbcSource(lambda$getCheckOperations$1):89 - Attempting to get metadata from the database to see if we can connect.
2022-06-07 15:57:44 INFO i.a.w.t.TemporalAttemptExecution(get):134 - Stopping cancellation check scheduling...
2022-06-07 15:57:44 INFO i.a.w.t.TemporalAttemptExecution(get):108 - Docker volume job log path: /tmp/workspace/18/0/logs.log
2022-06-07 15:57:44 INFO i.a.w.t.TemporalAttemptExecution(get):113 - Executing worker wrapper. Airbyte version: 0.39.10-alpha
2022-06-07 15:57:44 INFO i.a.c.i.LineGobbler(voidCall):82 - Checking if airbyte/destination-bigquery:1.1.6 exists...
2022-06-07 15:57:45 INFO i.a.c.i.LineGobbler(voidCall):82 - airbyte/destination-bigquery:1.1.6 was found locally.
2022-06-07 15:57:45 INFO i.a.w.p.DockerProcessFactory(create):108 - Creating docker job ID: 18
2022-06-07 15:57:45 INFO i.a.w.p.DockerProcessFactory(create):163 - Preparing command: docker run --rm --init -i -w /data/18/0 --log-driver none --name destination-bigquery-check-18-0-yjbjn --network host -v airbyte_workspace:/data -v /tmp/airbyte_local:/local -e WORKER_JOB_ATTEMPT=0 -e WORKER_CONNECTOR_IMAGE=airbyte/destination-bigquery:1.1.6 -e AIRBYTE_ROLE= -e WORKER_ENVIRONMENT=DOCKER -e AIRBYTE_VERSION=0.39.10-alpha -e WORKER_JOB_ID=18 airbyte/destination-bigquery:1.1.6 check --config source_config.json
2022-06-07 15:57:47 ERROR i.a.c.i.LineGobbler(voidCall):82 - SLF4J: Class path contains multiple SLF4J bindings.
2022-06-07 15:57:47 ERROR i.a.c.i.LineGobbler(voidCall):82 - SLF4J: Found binding in [jar:file:/airbyte/lib/log4j-slf4j-impl-2.17.1.jar!/org/slf4j/impl/StaticLoggerBinder.class]
2022-06-07 15:57:47 ERROR i.a.c.i.LineGobbler(voidCall):82 - SLF4J: Found binding in [jar:file:/airbyte/lib/slf4j-log4j12-1.7.25.jar!/org/slf4j/impl/StaticLoggerBinder.class]
2022-06-07 15:57:47 ERROR i.a.c.i.LineGobbler(voidCall):82 - SLF4J: Found binding in [jar:file:/airbyte/lib/logback-classic-1.2.3.jar!/org/slf4j/impl/StaticLoggerBinder.class]
2022-06-07 15:57:47 ERROR i.a.c.i.LineGobbler(voidCall):82 - SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation.
2022-06-07 15:57:47 ERROR i.a.c.i.LineGobbler(voidCall):82 - SLF4J: Actual binding is of type [org.apache.logging.slf4j.Log4jLoggerFactory]
2022-06-07 15:57:48 INFO i.a.w.i.DefaultAirbyteStreamFactory(lambda$create$0):61 - 2022-06-07 15:57:48 INFO i.a.i.b.IntegrationCliParser(parseOptions):118 - integration args: {check=null, config=source_config.json}
2022-06-07 15:57:48 INFO i.a.w.i.DefaultAirbyteStreamFactory(lambda$create$0):61 - 2022-06-07 15:57:48 INFO i.a.i.b.IntegrationRunner(runInternal):123 - Running integration: io.airbyte.integrations.destination.bigquery.BigQueryDestination
2022-06-07 15:57:48 INFO i.a.w.i.DefaultAirbyteStreamFactory(lambda$create$0):61 - 2022-06-07 15:57:48 INFO i.a.i.b.IntegrationRunner(runInternal):124 - Command: CHECK
2022-06-07 15:57:48 INFO i.a.w.i.DefaultAirbyteStreamFactory(lambda$create$0):61 - 2022-06-07 15:57:48 INFO i.a.i.b.IntegrationRunner(runInternal):125 - Integration config: IntegrationConfig{command=CHECK, configPath='source_config.json', catalogPath='null', statePath='null'}
2022-06-07 15:57:48 INFO i.a.w.i.DefaultAirbyteStreamFactory(lambda$create$0):61 - 2022-06-07 15:57:48 WARN c.n.s.JsonMetaSchema(newValidator):338 - Unknown keyword examples - you should define your own Meta Schema. If the keyword is irrelevant for validation, just use a NonValidationKeyword
2022-06-07 15:57:48 INFO i.a.w.i.DefaultAirbyteStreamFactory(lambda$create$0):61 - 2022-06-07 15:57:48 WARN c.n.s.JsonMetaSchema(newValidator):338 - Unknown keyword airbyte_secret - you should define your own Meta Schema. If the keyword is irrelevant for validation, just use a NonValidationKeyword
2022-06-07 15:57:48 INFO i.a.w.i.DefaultAirbyteStreamFactory(lambda$create$0):61 - 2022-06-07 15:57:48 INFO i.a.i.d.b.BigQueryUtils(getLoadingMethod):306 - Selected loading method is set to: STANDARD
2022-06-07 15:57:51 INFO i.a.w.t.TemporalAttemptExecution(get):134 - Stopping cancellation check scheduling...
2022-06-07 15:57:52 INFO i.a.w.t.TemporalAttemptExecution(get):108 - Docker volume job log path: /tmp/workspace/18/0/logs.log
2022-06-07 15:57:52 INFO i.a.w.t.TemporalAttemptExecution(get):113 - Executing worker wrapper. Airbyte version: 0.39.10-alpha
2022-06-07 15:57:52 INFO i.a.w.g.DefaultReplicationWorker(run):115 - start sync worker. job id: 18 attempt id: 0
2022-06-07 15:57:52 INFO i.a.w.g.DefaultReplicationWorker(run):127 - configured sync modes: {ggpredict.challenge_types=incremental - append_dedup, ggpredict.coach_match_advanced_stats=incremental - append_dedup, ggpredict.coach_match_sub_stats=incremental - append_dedup, ggpredict.user_training_v2_levels=incremental - append_dedup, ggpredict.user_challenges=incremental - append_dedup, ggpredict.missplays=incremental - append_dedup, ggpredict.user_training_v2_level_segment_units=incremental - append_dedup, ggpredict.coach_match_lineups=incremental - append_dedup, ggpredict.challenge_maps=incremental - append_dedup, ggpredict.coach_matches=incremental - append_dedup, ggpredict.challenges=incremental - append_dedup, ggpredict.user_server_weapon_stats=incremental - append_dedup, ggpredict.user_server_live_stats=incremental - append_dedup, ggpredict.coach_players=incremental - append_dedup, ggpredict.user_training_v2_unit_tags=incremental - append_dedup, ggpredict.user_training_v2_level_segment_unit_start_sessions=incremental - append_dedup, ggpredict.user_matches=incremental - append_dedup, ggpredict.user_training_v2_level_segments=incremental - append_dedup, ggpredict.coach_match_sub_stats_v2=incremental - append_dedup, ggpredict.users=incremental - append_dedup, ggpredict.user_training_v2_streaks=incremental - append_dedup, ggpredict.user_server_stats=incremental - append_dedup, ggpredict.user_training_v2_level_segment_unit_stats=incremental - append_dedup, ggpredict.challenge_weapons=incremental - append_dedup, ggpredict.coach_match_missplays_in_rounds=incremental - append_dedup, ggpredict.coach_match_advanced_stats_v2=incremental - append_dedup}
2022-06-07 15:57:52 INFO i.a.w.i.DefaultAirbyteDestination(start):69 - Running destination...
2022-06-07 15:57:52 INFO i.a.c.i.LineGobbler(voidCall):82 - Checking if airbyte/destination-bigquery:1.1.6 exists...
2022-06-07 15:57:52 INFO i.a.c.i.LineGobbler(voidCall):82 - airbyte/destination-bigquery:1.1.6 was found locally.
2022-06-07 15:57:52 INFO i.a.w.p.DockerProcessFactory(create):108 - Creating docker job ID: 18
2022-06-07 15:57:52 INFO i.a.w.p.DockerProcessFactory(create):163 - Preparing command: docker run --rm --init -i -w /data/18/0 --log-driver none --name destination-bigquery-write-18-0-efcry --network host -v airbyte_workspace:/data -v /tmp/airbyte_local:/local -e WORKER_JOB_ATTEMPT=0 -e WORKER_CONNECTOR_IMAGE=airbyte/destination-bigquery:1.1.6 -e AIRBYTE_ROLE= -e WORKER_ENVIRONMENT=DOCKER -e AIRBYTE_VERSION=0.39.10-alpha -e WORKER_JOB_ID=18 airbyte/destination-bigquery:1.1.6 write --config destination_config.json --catalog destination_catalog.json
2022-06-07 15:57:52 INFO i.a.c.i.LineGobbler(voidCall):82 - Checking if airbyte/source-mysql:0.5.11 exists...
2022-06-07 15:57:52 INFO i.a.c.i.LineGobbler(voidCall):82 - airbyte/source-mysql:0.5.11 was found locally.
2022-06-07 15:57:52 INFO i.a.w.p.DockerProcessFactory(create):108 - Creating docker job ID: 18
2022-06-07 15:57:52 INFO i.a.w.p.DockerProcessFactory(create):163 - Preparing command: docker run --rm --init -i -w /data/18/0 --log-driver none --name source-mysql-read-18-0-yrvoo --network host -v airbyte_workspace:/data -v /tmp/airbyte_local:/local -e WORKER_JOB_ATTEMPT=0 -e WORKER_CONNECTOR_IMAGE=airbyte/source-mysql:0.5.11 -e AIRBYTE_ROLE= -e WORKER_ENVIRONMENT=DOCKER -e AIRBYTE_VERSION=0.39.10-alpha -e WORKER_JOB_ID=18 airbyte/source-mysql:0.5.11 read --config source_config.json --catalog source_catalog.json
2022-06-07 15:57:52 INFO i.a.w.g.DefaultReplicationWorker(lambda$getDestinationOutputRunnable$7):395 - Destination output thread started.
2022-06-07 15:57:52 INFO i.a.w.g.DefaultReplicationWorker(run):169 - Waiting for source and destination threads to complete.
2022-06-07 15:57:52 INFO i.a.w.g.DefaultReplicationWorker(lambda$getReplicationRunnable$6):298 - Replication thread started.
2022-06-07 15:57:57 source > SLF4J: Class path contains multiple SLF4J bindings.
2022-06-07 15:57:57 source > SLF4J: Found binding in [jar:file:/airbyte/lib/log4j-slf4j-impl-2.17.1.jar!/org/slf4j/impl/StaticLoggerBinder.class]
2022-06-07 15:57:57 source > SLF4J: Found binding in [jar:file:/airbyte/lib/slf4j-log4j12-1.7.30.jar!/org/slf4j/impl/StaticLoggerBinder.class]
2022-06-07 15:57:57 source > SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation.
2022-06-07 15:57:57 destination > SLF4J: Class path contains multiple SLF4J bindings.
2022-06-07 15:57:57 destination > SLF4J: Found binding in [jar:file:/airbyte/lib/log4j-slf4j-impl-2.17.1.jar!/org/slf4j/impl/StaticLoggerBinder.class]
2022-06-07 15:57:57 destination > SLF4J: Found binding in [jar:file:/airbyte/lib/slf4j-log4j12-1.7.25.jar!/org/slf4j/impl/StaticLoggerBinder.class]
2022-06-07 15:57:57 destination > SLF4J: Found binding in [jar:file:/airbyte/lib/logback-classic-1.2.3.jar!/org/slf4j/impl/StaticLoggerBinder.class]
2022-06-07 15:57:57 destination > SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation.
2022-06-07 15:57:57 destination > SLF4J: Actual binding is of type [org.apache.logging.slf4j.Log4jLoggerFactory]
2022-06-07 15:57:57 source > SLF4J: Actual binding is of type [org.apache.logging.slf4j.Log4jLoggerFactory]
2022-06-07 15:57:57 source > 2022-06-07 15:57:57 INFO i.a.i.s.m.MySqlSource(main):210 - starting source: class io.airbyte.integrations.source.mysql.MySqlSource
2022-06-07 15:57:57 source > 2022-06-07 15:57:57 INFO i.a.i.b.IntegrationCliParser(parseOptions):118 - integration args: {read=null, catalog=source_catalog.json, config=source_config.json}
2022-06-07 15:57:57 source > 2022-06-07 15:57:57 INFO i.a.i.b.IntegrationRunner(runInternal):121 - Running integration: io.airbyte.integrations.base.ssh.SshWrappedSource
2022-06-07 15:57:57 source > 2022-06-07 15:57:57 INFO i.a.i.b.IntegrationRunner(runInternal):122 - Command: READ
2022-06-07 15:57:57 destination > 2022-06-07 15:57:57 INFO i.a.i.b.IntegrationCliParser(parseOptions):118 - integration args: {catalog=destination_catalog.json, write=null, config=destination_config.json}
2022-06-07 15:57:57 source > 2022-06-07 15:57:57 INFO i.a.i.b.IntegrationRunner(runInternal):123 - Integration config: IntegrationConfig{command=READ, configPath='source_config.json', catalogPath='source_catalog.json', statePath='null'}
2022-06-07 15:57:57 destination > 2022-06-07 15:57:57 INFO i.a.i.b.IntegrationRunner(runInternal):123 - Running integration: io.airbyte.integrations.destination.bigquery.BigQueryDestination
2022-06-07 15:57:57 destination > 2022-06-07 15:57:57 INFO i.a.i.b.IntegrationRunner(runInternal):124 - Command: WRITE
2022-06-07 15:57:57 destination > 2022-06-07 15:57:57 INFO i.a.i.b.IntegrationRunner(runInternal):125 - Integration config: IntegrationConfig{command=WRITE, configPath='destination_config.json', catalogPath='destination_catalog.json', statePath='null'}
2022-06-07 15:57:58 source > 2022-06-07 15:57:58 WARN c.n.s.JsonMetaSchema(newValidator):338 - Unknown keyword order - you should define your own Meta Schema. If the keyword is irrelevant for validation, just use a NonValidationKeyword
2022-06-07 15:57:58 source > 2022-06-07 15:57:58 WARN c.n.s.JsonMetaSchema(newValidator):338 - Unknown keyword examples - you should define your own Meta Schema. If the keyword is irrelevant for validation, just use a NonValidationKeyword
2022-06-07 15:57:58 source > 2022-06-07 15:57:58 WARN c.n.s.JsonMetaSchema(newValidator):338 - Unknown keyword airbyte_secret - you should define your own Meta Schema. If the keyword is irrelevant for validation, just use a NonValidationKeyword
2022-06-07 15:57:58 source > 2022-06-07 15:57:58 WARN c.n.s.JsonMetaSchema(newValidator):338 - Unknown keyword multiline - you should define your own Meta Schema. If the keyword is irrelevant for validation, just use a NonValidationKeyword
2022-06-07 15:57:58 destination > 2022-06-07 15:57:58 WARN c.n.s.JsonMetaSchema(newValidator):338 - Unknown keyword examples - you should define your own Meta Schema. If the keyword is irrelevant for validation, just use a NonValidationKeyword
2022-06-07 15:57:58 destination > 2022-06-07 15:57:58 WARN c.n.s.JsonMetaSchema(newValidator):338 - Unknown keyword airbyte_secret - you should define your own Meta Schema. If the keyword is irrelevant for validation, just use a NonValidationKeyword
2022-06-07 15:57:58 destination > 2022-06-07 15:57:58 INFO i.a.i.d.b.BigQueryUtils(getLoadingMethod):306 - Selected loading method is set to: STANDARD
2022-06-07 15:57:58 destination > 2022-06-07 15:57:58 WARN i.a.i.d.b.BigQueryDestination(getConsumer):194 - The "standard" upload mode is not performant, and is not recommended for production. Please use the GCS upload mode if you are syncing a large amount of data.
2022-06-07 15:57:58 destination > 2022-06-07 15:57:58 INFO i.a.i.d.b.BigQueryUtils(getLoadingMethod):306 - Selected loading method is set to: STANDARD
2022-06-07 15:57:58 source > 2022-06-07 15:57:58 INFO i.a.i.b.s.SshTunnel(getInstance):170 - Starting connection with method: SSH_KEY_AUTH
2022-06-07 15:57:58 source > 2022-06-07 15:57:58 WARN o.a.s.c.k.StaticServerKeyVerifier(handleAcceptance):59 - Server at /91.185.184.31:22 presented unverified EC key: SHA256:W+ZPavPjrpAmhKKw7B61BEkTfTy/kYCJNypzhjMI5K0
2022-06-07 15:57:58 source > 2022-06-07 15:57:58 INFO i.a.i.b.s.SshTunnel(openTunnel):287 - Established tunneling session.  Port forwarding started on /127.0.0.1:42177
2022-06-07 15:57:58 source > 2022-06-07 15:57:58 INFO i.a.i.s.r.CdcStateManager(<init>):26 - Initialized CDC state with: null
2022-06-07 15:57:59 source > 2022-06-07 15:57:59 INFO i.a.i.s.r.StateManager(createCursorInfoForStream):118 - No cursor field set in catalog but not present in state. Stream: AirbyteStreamNameNamespacePair{name='user_training_v2_level_segment_units', namespace='ggpredict'}, New Cursor Field: null. Resetting cursor value
2022-06-07 15:57:59 source > 2022-06-07 15:57:59 INFO i.a.i.s.r.StateManager(createCursorInfoForStream):118 - No cursor field set in catalog but not present in state. Stream: AirbyteStreamNameNamespacePair{name='user_matches', namespace='ggpredict'}, New Cursor Field: null. Resetting cursor value
2022-06-07 15:57:59 source > 2022-06-07 15:57:59 INFO i.a.i.s.r.StateManager(createCursorInfoForStream):118 - No cursor field set in catalog but not present in state. Stream: AirbyteStreamNameNamespacePair{name='challenges', namespace='ggpredict'}, New Cursor Field: null. Resetting cursor value
2022-06-07 15:57:59 source > 2022-06-07 15:57:59 INFO i.a.i.s.r.StateManager(createCursorInfoForStream):118 - No cursor field set in catalog but not present in state. Stream: AirbyteStreamNameNamespacePair{name='user_training_v2_level_segment_unit_start_sessions', namespace='ggpredict'}, New Cursor Field: null. Resetting cursor value
2022-06-07 15:57:59 source > 2022-06-07 15:57:59 INFO i.a.i.s.r.StateManager(createCursorInfoForStream):118 - No cursor field set in catalog but not present in state. Stream: AirbyteStreamNameNamespacePair{name='user_challenges', namespace='ggpredict'}, New Cursor Field: null. Resetting cursor value
2022-06-07 15:57:59 source > 2022-06-07 15:57:59 INFO i.a.i.s.r.StateManager(createCursorInfoForStream):118 - No cursor field set in catalog but not present in state. Stream: AirbyteStreamNameNamespacePair{name='user_training_v2_levels', namespace='ggpredict'}, New Cursor Field: null. Resetting cursor value
2022-06-07 15:57:59 source > 2022-06-07 15:57:59 INFO i.a.i.s.r.StateManager(createCursorInfoForStream):118 - No cursor field set in catalog but not present in state. Stream: AirbyteStreamNameNamespacePair{name='coach_matches', namespace='ggpredict'}, New Cursor Field: null. Resetting cursor value
2022-06-07 15:57:59 source > 2022-06-07 15:57:59 INFO i.a.i.s.r.StateManager(createCursorInfoForStream):118 - No cursor field set in catalog but not present in state. Stream: AirbyteStreamNameNamespacePair{name='user_server_live_stats', namespace='ggpredict'}, New Cursor Field: null. Resetting cursor value
2022-06-07 15:57:59 source > 2022-06-07 15:57:59 INFO i.a.i.s.r.StateManager(createCursorInfoForStream):118 - No cursor field set in catalog but not present in state. Stream: AirbyteStreamNameNamespacePair{name='user_server_weapon_stats', namespace='ggpredict'}, New Cursor Field: null. Resetting cursor value
2022-06-07 15:57:59 source > 2022-06-07 15:57:59 INFO i.a.i.s.r.StateManager(createCursorInfoForStream):118 - No cursor field set in catalog but not present in state. Stream: AirbyteStreamNameNamespacePair{name='coach_match_sub_stats', namespace='ggpredict'}, New Cursor Field: null. Resetting cursor value
2022-06-07 15:57:59 source > 2022-06-07 15:57:59 INFO i.a.i.s.r.StateManager(createCursorInfoForStream):118 - No cursor field set in catalog but not present in state. Stream: AirbyteStreamNameNamespacePair{name='coach_match_lineups', namespace='ggpredict'}, New Cursor Field: null. Resetting cursor value
2022-06-07 15:57:59 source > 2022-06-07 15:57:59 INFO i.a.i.s.r.StateManager(createCursorInfoForStream):118 - No cursor field set in catalog but not present in state. Stream: AirbyteStreamNameNamespacePair{name='user_server_stats', namespace='ggpredict'}, New Cursor Field: null. Resetting cursor value
2022-06-07 15:57:59 source > 2022-06-07 15:57:59 INFO i.a.i.s.r.StateManager(createCursorInfoForStream):118 - No cursor field set in catalog but not present in state. Stream: AirbyteStreamNameNamespacePair{name='challenge_weapons', namespace='ggpredict'}, New Cursor Field: null. Resetting cursor value
2022-06-07 15:57:59 source > 2022-06-07 15:57:59 INFO i.a.i.s.r.StateManager(createCursorInfoForStream):118 - No cursor field set in catalog but not present in state. Stream: AirbyteStreamNameNamespacePair{name='coach_match_advanced_stats_v2', namespace='ggpredict'}, New Cursor Field: null. Resetting cursor value
2022-06-07 15:57:59 source > 2022-06-07 15:57:59 INFO i.a.i.s.r.StateManager(createCursorInfoForStream):118 - No cursor field set in catalog but not present in state. Stream: AirbyteStreamNameNamespacePair{name='missplays', namespace='ggpredict'}, New Cursor Field: null. Resetting cursor value
2022-06-07 15:57:59 source > 2022-06-07 15:57:59 INFO i.a.i.s.r.StateManager(createCursorInfoForStream):118 - No cursor field set in catalog but not present in state. Stream: AirbyteStreamNameNamespacePair{name='user_training_v2_streaks', namespace='ggpredict'}, New Cursor Field: null. Resetting cursor value
2022-06-07 15:57:59 source > 2022-06-07 15:57:59 INFO i.a.i.s.r.StateManager(createCursorInfoForStream):118 - No cursor field set in catalog but not present in state. Stream: AirbyteStreamNameNamespacePair{name='challenge_maps', namespace='ggpredict'}, New Cursor Field: null. Resetting cursor value
2022-06-07 15:57:59 source > 2022-06-07 15:57:59 INFO i.a.i.s.r.StateManager(createCursorInfoForStream):118 - No cursor field set in catalog but not present in state. Stream: AirbyteStreamNameNamespacePair{name='challenge_types', namespace='ggpredict'}, New Cursor Field: null. Resetting cursor value
2022-06-07 15:57:59 source > 2022-06-07 15:57:59 INFO i.a.i.s.r.StateManager(createCursorInfoForStream):118 - No cursor field set in catalog but not present in state. Stream: AirbyteStreamNameNamespacePair{name='coach_match_sub_stats_v2', namespace='ggpredict'}, New Cursor Field: null. Resetting cursor value
2022-06-07 15:57:59 source > 2022-06-07 15:57:59 INFO i.a.i.s.r.StateManager(createCursorInfoForStream):118 - No cursor field set in catalog but not present in state. Stream: AirbyteStreamNameNamespacePair{name='user_training_v2_level_segments', namespace='ggpredict'}, New Cursor Field: null. Resetting cursor value
2022-06-07 15:57:59 source > 2022-06-07 15:57:59 INFO i.a.i.s.r.StateManager(createCursorInfoForStream):118 - No cursor field set in catalog but not present in state. Stream: AirbyteStreamNameNamespacePair{name='coach_match_advanced_stats', namespace='ggpredict'}, New Cursor Field: null. Resetting cursor value
2022-06-07 15:57:59 source > 2022-06-07 15:57:59 INFO i.a.i.s.r.StateManager(createCursorInfoForStream):118 - No cursor field set in catalog but not present in state. Stream: AirbyteStreamNameNamespacePair{name='user_training_v2_unit_tags', namespace='ggpredict'}, New Cursor Field: null. Resetting cursor value
2022-06-07 15:57:59 source > 2022-06-07 15:57:59 INFO i.a.i.s.r.StateManager(createCursorInfoForStream):118 - No cursor field set in catalog but not present in state. Stream: AirbyteStreamNameNamespacePair{name='coach_match_missplays_in_rounds', namespace='ggpredict'}, New Cursor Field: null. Resetting cursor value
2022-06-07 15:57:59 source > 2022-06-07 15:57:59 INFO i.a.i.s.r.StateManager(createCursorInfoForStream):118 - No cursor field set in catalog but not present in state. Stream: AirbyteStreamNameNamespacePair{name='coach_players', namespace='ggpredict'}, New Cursor Field: null. Resetting cursor value
2022-06-07 15:57:59 source > 2022-06-07 15:57:59 INFO i.a.i.s.r.StateManager(createCursorInfoForStream):118 - No cursor field set in catalog but not present in state. Stream: AirbyteStreamNameNamespacePair{name='user_training_v2_level_segment_unit_stats', namespace='ggpredict'}, New Cursor Field: null. Resetting cursor value
2022-06-07 15:57:59 source > 2022-06-07 15:57:59 INFO i.a.i.s.r.StateManager(createCursorInfoForStream):118 - No cursor field set in catalog but not present in state. Stream: AirbyteStreamNameNamespacePair{name='users', namespace='ggpredict'}, New Cursor Field: null. Resetting cursor value
2022-06-07 15:57:59 source > 2022-06-07 15:57:59 WARN o.a.s.c.u.l.LoggingUtils(warn):626 - globalRequest(ClientConnectionService[ClientSessionImpl[kacper-wozniak@/91.185.184.31:22]])[hostkeys-00@openssh.com, want-reply=false] failed (SshException) to process: EdDSA provider not supported
2022-06-07 15:57:59 destination > 2022-06-07 15:57:59 INFO i.a.i.d.b.BigQueryUtils(createPartitionedTable):131 - Partitioned table created successfully: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=ggpredict_airbyte, tableId=_airbyte_tmp_kos_challenge_maps}}
2022-06-07 15:57:59 destination > 2022-06-07 15:57:59 INFO i.a.i.d.b.BigQueryUtils(getLoadingMethod):306 - Selected loading method is set to: STANDARD
2022-06-07 15:58:00 destination > 2022-06-07 15:58:00 INFO i.a.i.d.b.BigQueryUtils(createPartitionedTable):131 - Partitioned table created successfully: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=ggpredict_airbyte, tableId=_airbyte_tmp_pdm_challenge_types}}
2022-06-07 15:58:00 destination > 2022-06-07 15:58:00 INFO i.a.i.d.b.BigQueryUtils(getLoadingMethod):306 - Selected loading method is set to: STANDARD
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column match_map_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column player_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column round (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column side (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column won (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column kills (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column trade_kills (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column hs_kills (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column clutch_kills (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column deaths (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column traded (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column assists (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column flash_assists (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column opening_kills (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column opening_deaths (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column dmg_dealt (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column own_damage (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column team_players_hurt (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column team_kills (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column self_kills (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column exit_kills (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column deaths_flashed (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column bomb_plants (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column bomb_defused (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column fake_plant (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column fake_defuse (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column got_flashed (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column opponents_flashed (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column kills_to_flashed (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column clutch_plants (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column clutch_defuses (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column kills_after_fake (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column deaths_without_seeing (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column kills_to_not_seeing (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column first_see (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column first_contact (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column death_time (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column opponents_hurt (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column dmg_sources (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column flashed (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column flash_caused (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column distance_covered (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column distance_towards_enemy (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column distance_in_right_dir (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column distance_from_team (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column equipment_value (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column cash_spent (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column cash_earned (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column initial_site (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column site_changes (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column scoped_battles_won (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column scoped_battles_lost (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column first_to_see (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column first_damage (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column had_awp (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column died_unscoped (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column died_knife_nade (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column early_distance (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column aggression (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column positioning (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column rating (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column def_rating (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column off_rating (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column bomb_planted (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column site_planted (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column mvp (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_utility_used column coach_match_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_utility_used column match_platform (type VARCHAR[50]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_utility_used column rounds_played (type BIGINT[19]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_utility_used column match_date (type TIMESTAMP[19]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_utility_used column coach_player_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_utility_used column player_rank (type VARCHAR[20]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_utility_used column utilities_used (type DECIMAL[14]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_to_hltv_team column team_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_to_hltv_team column hltv_team_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table servers column id (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table servers column name (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table servers column public (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table servers column server_type_id (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_sub_stats column coach_match_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_sub_stats column coach_player_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_sub_stats column sub_stat (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_sub_stats column score (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table followed_users column user_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table followed_users column followed_user_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_smoke_efficiency column coach_match_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_smoke_efficiency column match_platform (type VARCHAR[50]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_smoke_efficiency column rounds_played (type BIGINT[19]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_smoke_efficiency column match_date (type TIMESTAMP[19]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_smoke_efficiency column coach_player_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_smoke_efficiency column player_rank (type VARCHAR[20]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_smoke_efficiency column smoke_efficiency (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_weeks column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_weeks column user_training_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_weeks column begin_date (type DATE[10]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_weeks column end_date (type DATE[10]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_weeks column matches_goal (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_weeks column engagement (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_rifle_hs_rate column coach_match_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_rifle_hs_rate column match_platform (type VARCHAR[50]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_rifle_hs_rate column match_date (type TIMESTAMP[19]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_rifle_hs_rate column coach_player_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_rifle_hs_rate column player_rank (type VARCHAR[20]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_rifle_hs_rate column rifle_hs_rate (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_week_map_stats column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_week_map_stats column user_training_week_map_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_week_map_stats column kills (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_week_map_stats column kills_hs (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_week_map_stats column assists (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_week_map_stats column deaths (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_week_map_stats column play_time_in_s (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_week_map_stats column map (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_v2_streaks column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_v2_streaks column user_training_v2_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_v2_streaks column value (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_v2_streaks column last_update (type TIMESTAMP[19]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_heatmap_per_rounds column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_heatmap_per_rounds column coach_match_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_heatmap_per_rounds column coach_player_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_heatmap_per_rounds column round (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_heatmap_per_rounds column position_x (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_heatmap_per_rounds column position_y (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_heatmap_per_rounds column value (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column coach_match_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column coach_player_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column round (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column side (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column won (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column kills (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column opening_kills (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column exit_kills (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column hs_kills (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column clutch_kills (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column clutch_against (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column clutch_plants (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column clutch_defuses (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column trade_kills (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column fake_plants (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column fake_defuses (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column kills_after_fake (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column kills_to_flashed (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column kills_while_flashed (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column kills_to_not_seeing (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column self_kills (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column team_kills (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column assists (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column flash_assists (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column deaths (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column opening_deaths (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column death_flashed (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column death_by_flashed (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column death_without_seeing (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column death_unscoped (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column death_with_nade (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column death_with_knife (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column exit_deaths (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column traded (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column damage_dealt (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column team_damage (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column self_damage (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column opponents_hurt (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column teammates_hurt (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column bomb_plants (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column bomb_defuses (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column opponents_flashed (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column opponents_flashed_time (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column flashed_teammates (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column flashed_teammates_time (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column got_flashed (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column got_flashed_time (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column flashed_by_teammates (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column flashed_by_teammates_time (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column distance_covered (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column distance_towards_opponents (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column early_distance (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column equipment_value (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column cash_spent (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column cash_earned (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column initial_site (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column site_changes (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column site_plant (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column first_see (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column first_contact (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column had_awp (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column sniper_kills (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column scoped_battles (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column scoped_battles_won (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column reaction_time (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column death_time (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column mvp (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column early_utilities (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column shots (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column hits (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column HS (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column good_hits (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column player_speed (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column distance_from_plant (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column utility_damage (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column smoke_quality (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column molo_quality (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column utility_value_at_death (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column weapon_drops (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column utilities_thrown (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column flashes_thrown (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column sniper_shots (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column sniper_hits (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column distance_from_team (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column round_time (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column survived_lost_round (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column unnecessary_reload (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column audible_footsteps (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 destination > 2022-06-07 15:58:01 INFO i.a.i.d.b.BigQueryUtils(createPartitionedTable):131 - Partitioned table created successfully: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=ggpredict_airbyte, tableId=_airbyte_tmp_pii_challenge_weapons}}
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column audible_footsteps_near_opponent (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column crosshair_placement (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column flashes_leading_to_kill (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column strafing (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column death_bomb_carrier (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column bad_smokes (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column defuse_kit_missplay (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column bomb_left_missplay (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column missed_trade (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column cash_left (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column unnecessary_reload_leading_to_death (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column kills_through_smoke (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column wallbangs (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column collateral_kills (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column trade_opportunities (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column trade_fail (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column spray_multi_kills (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column plant_in_round (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column had_dk (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column killed_while_defusing (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column defuser_defended (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column defuser_not_defended (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column ninja_defuse_attempt (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column ninja_plant_attempt (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column economy_deviation_from_team (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column smokes_stopping_rush (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column molotovs_stopping_rush (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column smokes_triggering_rotation (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column got_hit (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column got_hit_not_seeing (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_predefined_training_week_maps column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_predefined_training_week_maps column name (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_predefined_training_week_maps column role (type VARCHAR[50]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_predefined_training_week_maps column map_id (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_predefined_training_week_maps column training_time (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_predefined_training_week_maps column map_type (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_predefined_training_week_maps column training_week_day (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_fight_spot_score column coach_match_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_fight_spot_score column coach_player_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_fight_spot_score column score (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_utility_damage column coach_match_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_utility_damage column match_platform (type VARCHAR[50]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_utility_damage column rounds_played (type BIGINT[19]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_utility_damage column match_date (type TIMESTAMP[19]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_utility_damage column coach_player_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_utility_damage column player_rank (type VARCHAR[20]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_utility_damage column utilities_dmg (type DECIMAL[14]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_strengths_and_weaknesses column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_strengths_and_weaknesses column coach_match_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_strengths_and_weaknesses column coach_player_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_strengths_and_weaknesses column is_strength (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_strengths_and_weaknesses column skill (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_heatmaps column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_heatmaps column coach_match_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_heatmaps column coach_player_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_heatmaps column json_data (type TEXT[65535]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_v2_level_segment_unit_stats column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_v2_level_segment_unit_stats column user_training_v2_level_segment_unit_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_v2_level_segment_unit_stats column kills (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_v2_level_segment_unit_stats column kills_hs (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_v2_level_segment_unit_stats column assists (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_v2_level_segment_unit_stats column deaths (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_v2_level_segment_unit_stats column play_time_in_s (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_v2_level_segment_unit_stats column map (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_v2_level_segment_unit_stats column inserted_date (type TIMESTAMP[19]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table missplays column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table missplays column value (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table teams_with_ranking column id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table teams_with_ranking column name (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table teams_with_ranking column country (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table teams_with_ranking column logo (type VARCHAR[20]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table teams_with_ranking column color (type VARCHAR[7]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table teams_with_ranking column total_matches (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table teams_with_ranking column total_wins (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table teams_with_ranking column last_results (type VARCHAR[5]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table teams_with_ranking column rating_value (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table teams_with_ranking column ranking_position (type DECIMAL[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table teams_with_ranking column last_rating_value (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table teams_with_ranking column last_ranking_position (type DECIMAL[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table challenges column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table challenges column goal (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table challenges column difficulty (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table challenges column challenge_type_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table challenges column description (type VARCHAR[100]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_leaderboard_match_stats column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_leaderboard_match_stats column user_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_leaderboard_match_stats column user_leaderboard_match_stat_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_leaderboard_match_stats column value (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_leaderboard_match_stats column inserted_date (type DATE[10]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_leaderboard_match_stats column match_counter (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_maps column id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_maps column match_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_maps column left_team_score (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_maps column right_team_score (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_maps column map_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_maps column state (type ENUM[8]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_maps column processing_failed (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_steam_accounts_history column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_steam_accounts_history column user_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_steam_accounts_history column steam_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_steam_accounts_history column steam_authentication_code (type VARCHAR[100]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_steam_accounts_history column steam_last_known_match_share_token (type VARCHAR[100]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_steam_accounts_history column inserted_date (type DATE[10]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_utilities column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_utilities column match_map_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_utilities column player_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_utilities column round (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_utilities column utility_type (type ENUM[7]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_utilities column position_x (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_utilities column position_y (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_utilities column position_z (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_server_stats column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_server_stats column user_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_server_stats column inserted_date (type TIMESTAMP[19]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_server_stats column server_hostname (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_server_stats column server_map (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_server_stats column server_public_ip (type VARCHAR[15]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_server_stats column server_local_ip (type VARCHAR[15]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_server_stats column region (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_server_stats column kills (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_server_stats column kills_hs (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_server_stats column deaths (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_server_stats column assists (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_server_stats column time_in_s (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_server_stats column score (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_server_stats column server_id (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_server_stats column suspect (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_overall_statistics column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_overall_statistics column coach_match_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_overall_statistics column coach_player_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_overall_statistics column aggression (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_overall_statistics column positioning (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_overall_statistics column aiming (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_overall_statistics column game_pace (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_overall_statistics column responsiveness (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_overall_statistics column utilities_usage (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_overall_statistics column sniping (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_overall_statistics column clutch (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_overall_statistics column team_play (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_leaderboard_match_stat column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_leaderboard_match_stat column name (type VARCHAR[50]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_fight_spot_score column match_map_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_fight_spot_score column player_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_fight_spot_score column score (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table stats_distributions column variable (type VARCHAR[50]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table stats_distributions column type (type VARCHAR[4]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table stats_distributions column value (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table stats_distributions column map_id (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_weapons column id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_weapons column match_map_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_weapons column weapon_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_weapons column team_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_weapons column team (type ENUM[2]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_weapons column total_purchases (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_weapons column total_kills (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_weapons column total_headshots (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_weapons column total_deaths (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_weapons column spray_accuracy (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_weapons column accuracy (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_weapons column adr (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_weapons column profitability (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_weapons column shots (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_weapons column sprays (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_weapons column shot_hits (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_weapons column spray_hits (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_weapons column total_rounds (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_accuracy_spotted column coach_match_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_accuracy_spotted column match_platform (type VARCHAR[50]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_accuracy_spotted column rounds_played (type BIGINT[19]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_accuracy_spotted column match_date (type TIMESTAMP[19]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_accuracy_spotted column coach_player_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_accuracy_spotted column player_rank (type VARCHAR[20]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_accuracy_spotted column accuracy_spotted (type DECIMAL[14]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_generated_messages column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_generated_messages column message_type (type ENUM[14]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_generated_messages column message_json (type TEXT[65535]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_generated_messages column inserted_date (type TIMESTAMP[19]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_generated_messages column user_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_generated_messages column hided (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_generated_messages column coach_match_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_rating_benchmarks column id (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_rating_benchmarks column map_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_rating_benchmarks column side (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_rating_benchmarks column regular_kills (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_rating_benchmarks column opening_kills (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_rating_benchmarks column regular_survived (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_rating_benchmarks column opening_deaths (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_rating_benchmarks column rounds_with_multiple_kills (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_rating_benchmarks column damage_dealt (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_rating_benchmarks column flash_assists (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_rating_benchmarks column smoke_molo_quality (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_rating_benchmarks column bomb_plants (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_rating_benchmarks column bomb_defuses (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_rating_benchmarks column counts (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_rating_benchmarks column total (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table comments_activity_feed column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table comments_activity_feed column author_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table comments_activity_feed column faceit_rank (type VARCHAR[20]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table comments_activity_feed column esportal_rank (type VARCHAR[20]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table comments_activity_feed column steam_rank (type VARCHAR[20]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table comments_activity_feed column created_at (type TIMESTAMP[19]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table comments_activity_feed column comment_text (type TEXT[65535]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table comments_activity_feed column approved (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table comments_activity_feed column user_generated_message_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_year_summary column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_year_summary column nickname (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_year_summary column user_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_year_summary column map_name (type VARCHAR[50]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_year_summary column map_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_year_summary column map_matches_won (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_year_summary column weapon_name (type VARCHAR[50]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_year_summary column weapon_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_year_summary column weapon_kills (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_year_summary column played_role (type VARCHAR[50]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_year_summary column utils_thrown_total (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_year_summary column utils_thrown_he (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_year_summary column utils_thrown_flash (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_year_summary column utils_thrown_smoke (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_year_summary column utils_thrown_fire (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_year_summary column flashed_time (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_year_summary column cash_earned (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_year_summary column cash_spent (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_year_summary column ggp_rating_best_month (type VARCHAR[50]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_year_summary column ggp_rating_best_month_rating (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_year_summary column ggp_rating_year_avg (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_year_summary column mate_nick_1 (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_year_summary column mate_nick_2 (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_year_summary column mate_nick_3 (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_year_summary column mate_nick_4 (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_year_summary column mate_win_ratio_1 (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_year_summary column mate_win_ratio_2 (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_year_summary column mate_win_ratio_3 (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_year_summary column mate_win_ratio_4 (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_stats_averages column user_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_stats_averages column kills_deaths_ratio (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_stats_averages column avg_damage_per_round (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_stats_averages column kills_per_match (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_stats_averages column deaths_per_match (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_stats_averages column flash_efficiency (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_stats_averages column hs_rate (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_stats_averages column updated_at (type TIMESTAMP[19]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_server_live_stats column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_server_live_stats column user_server_stats_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_server_live_stats column inserted_date (type TIMESTAMP[19]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_server_live_stats column csv_data (type MEDIUMTEXT[16777215]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table comments column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table comments column parent_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table comments column author_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table comments column faceit_rank (type VARCHAR[20]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table comments column esportal_rank (type VARCHAR[20]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table comments column steam_rank (type VARCHAR[20]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table comments column created_at (type TIMESTAMP[19]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table comments column comment_text (type TEXT[65535]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table comments column approved (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table comments column identifier (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table comments column is_removed (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapon_categories column id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapon_categories column name (type VARCHAR[150]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table event_to_hltv_event column event_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table event_to_hltv_event column hltv_event_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table role_trainings_counter column primary_role (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table role_trainings_counter column trainings (type BIGINT[19]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_faceit_accounts_history column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_faceit_accounts_history column user_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_faceit_accounts_history column faceit_account_steam_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_faceit_accounts_history column faceit_login (type VARCHAR[250]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_faceit_accounts_history column faceit_player_id (type VARCHAR[250]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_faceit_accounts_history column faceit_last_known_match (type VARCHAR[250]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_faceit_accounts_history column inserted_date (type DATE[10]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_reaction_time column coach_match_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_reaction_time column match_date (type TIMESTAMP[19]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_reaction_time column match_platform (type VARCHAR[50]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_reaction_time column coach_player_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_reaction_time column player_rank (type VARCHAR[20]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_reaction_time column reaction_time (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_reaction_time column reaction_time_measured (type BIGINT[19]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column match_map_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column player_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column round (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column side (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column won (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column kills (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column opening_kills (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column exit_kills (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column hs_kills (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column clutch_kills (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column clutch_against (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column clutch_plants (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column clutch_defuses (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column trade_kills (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column fake_plants (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column fake_defuses (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column kills_after_fake (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column kills_to_flashed (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column kills_while_flashed (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column kills_to_not_seeing (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column self_kills (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column team_kills (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column assists (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column flash_assists (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column deaths (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column opening_deaths (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column death_flashed (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column death_by_flashed (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column death_without_seeing (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column death_unscoped (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column death_with_nade (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column death_with_knife (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column exit_deaths (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column traded (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column damage_dealt (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column team_damage (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column self_damage (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column opponents_hurt (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column teammates_hurt (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column bomb_plants (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column bomb_defuses (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column opponents_flashed (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column opponents_flashed_time (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column flashed_teammates (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column flashed_teammates_time (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column got_flashed (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column got_flashed_time (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column flashed_by_teammates (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column flashed_by_teammates_time (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column distance_covered (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column distance_towards_opponents (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column early_distance (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column equipment_value (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column cash_spent (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column cash_earned (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column initial_site (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column site_changes (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column site_plant (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column first_see (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column first_contact (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column had_awp (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column sniper_kills (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column scoped_battles (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column scoped_battles_won (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column reaction_time (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column death_time (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column mvp (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column early_utilities (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column shots (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column hits (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column HS (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column good_hits (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column player_speed (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column distance_from_plant (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column utility_damage (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column smoke_quality (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column molo_quality (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column utility_value_at_death (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column weapon_drops (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column utilities_thrown (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column flashes_thrown (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column distance_from_team (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column round_time (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column survived_lost_round (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column unnecessary_reload (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column audible_footsteps (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column audible_footsteps_near_opponent (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column flashes_leading_to_kill (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column unnecessary_reload_leading_to_death (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column kills_through_smoke (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column wallbangs (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column collateral_kills (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column trade_opportunities (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column trade_fail (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column spray_multi_kills (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column death_bomb_carrier (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column plant_in_round (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column had_dk (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column killed_while_defusing (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column defuser_defended (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column defuser_not_defended (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column ninja_defuse_attempt (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column ninja_plant_attempt (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column economy_deviation_from_team (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column smokes_stopping_rush (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column molotovs_stopping_rush (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column smokes_triggering_rotation (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column crosshair_placement (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column cash_left (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column got_hit (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column got_hit_not_seeing (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_leaderboard_history_positions column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_leaderboard_history_positions column position (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_leaderboard_history_positions column user_leaderboard_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table schema_versions column id (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table schema_versions column major (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table schema_versions column minor (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table schema_versions column bugfix (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table schema_versions column inserted_date (type TIMESTAMP[19]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table schema_versions column changes_description (type VARCHAR[1000]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_notable_stats column id (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_notable_stats column type (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_notable_stats column team_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_notable_stats column player_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_notable_stats column mapReference (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_notable_stats column stat (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_notable_stats column value (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_notable_stats column percentile (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_notable_stats column match_map_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_predefined_training_level_segments column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_predefined_training_level_segments column name (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_predefined_training_level_segments column user_training_level_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_trainings_v2 column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_trainings_v2 column user_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_trainings_v2 column primary_role (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_trainings_v2 column inserted_date (type TIMESTAMP[19]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_weapons_raw column coach_match_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_weapons_raw column coach_player_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_weapons_raw column weapon_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_weapons_raw column round (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_weapons_raw column kills (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_weapons_raw column hs_kills (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_weapons_raw column hits (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_weapons_raw column shots (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_weapons_raw column hits_left_arm (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_weapons_raw column hits_right_arm (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_weapons_raw column hits_chest (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_weapons_raw column hits_stomach (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_weapons_raw column hits_left_leg (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_weapons_raw column hits_right_leg (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_weapons_raw column hits_head (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_weapons_raw column sprays (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_weapons_raw column spray_hits (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_weapons_raw column sprays_left_arm (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_weapons_raw column sprays_right_arm (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_weapons_raw column sprays_chest (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_weapons_raw column sprays_stomach (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_weapons_raw column sprays_left_leg (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_weapons_raw column sprays_right_leg (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_weapons_raw column sprays_head (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_weapons_raw column damage_dealt (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_weapons_raw column buys (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_weapons_raw column drops (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_weapons_raw column pickups (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_weapons_raw column damage_received (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_weapons_raw column profitability (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_weapons_raw column weapon_shots_while_opponent_spotted (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_weapons_raw column weapon_hits_while_opponent_spotted (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_weapons_raw column hits_left_arm_while_opponent_spotted (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_weapons_raw column hits_right_arm_while_opponent_spotted (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_weapons_raw column hits_chest_while_opponent_spotted (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_weapons_raw column hits_stomach_while_opponent_spotted (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_weapons_raw column hits_left_leg_while_opponent_spotted (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_weapons_raw column hits_right_leg_while_opponent_spotted (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_weapons_raw column hits_head_while_opponent_spotted (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_weapons_raw column sprays_while_opponent_spotted (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_weapons_raw column spray_hits_while_opponent_spotted (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_weapons_raw column crosshair_placement (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_weapons_raw column tap_shots (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_weapons_raw column tap_hits (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_weapons_raw column strafing (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_weapons_raw column weapon_shots_opponent_not_seeing (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_weapons_raw column weapon_hits_opponent_not_seeing (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table trial_monitoring column date (type DATETIME[19]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table trial_monitoring column trial_user_count (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_positions column id (type BIGINT[19]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_positions column match_map_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_positions column player_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_positions column json_data (type MEDIUMTEXT[16777215]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_economy column id (type BIGINT[19]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_economy column coach_player_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_economy column coach_match_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_economy column json_economy_per_round (type TEXT[65535]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_v2_level_segment_units column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_v2_level_segment_units column user_training_v2_level_segment_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_v2_level_segment_units column name (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_v2_level_segment_units column goal (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_v2_level_segment_units column goal_type (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_v2_level_segment_units column current_progress (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_v2_level_segment_units column started_date (type TIMESTAMP[19]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_v2_level_segment_units column completed_date (type TIMESTAMP[19]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_v2_level_segment_units column manual_completed (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_v2_level_segment_units column status (type ENUM[19]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_v2_level_segment_units column message_variant (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_mini_games_results column id (type BIGINT[19]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_mini_games_results column user_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_mini_games_results column game_type (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_mini_games_results column inserted_date (type TIMESTAMP[19]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_mini_games_results column time (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_mini_games_results column points (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_mini_games_results column hits (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_mini_games_results column miss (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_team_stats column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_team_stats column team_side (type VARCHAR[2]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_team_stats column coach_match_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_team_stats column rounds_t (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_team_stats column rounds_ct (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_team_stats column won_rounds_t (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_team_stats column won_rounds_ct (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_team_stats column won_rounds_by_kills (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_team_stats column won_rounds_by_explosion (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_team_stats column won_rounds_by_defuse (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_team_stats column won_rounds_by_time (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_team_stats column rating (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_team_stats column t_rating (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_team_stats column ct_rating (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_team_stats column total_kills (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_team_stats column total_headshots (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_team_stats column total_deaths (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_team_stats column damage_per_round (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_team_stats column grenade_damage_per_round (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_team_stats column clutches_1_2_won (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_team_stats column clutches_1_2_played (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_team_stats column clutches_1_3_played (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_team_stats column clutches_1_4_played (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_team_stats column clutches_1_5_played (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_team_stats column clutches_1_3_won (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_team_stats column clutches_1_4_won (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_team_stats column clutches_1_5_won (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_team_stats column bombs_planted (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_team_stats column bombs_defused (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_team_stats column opening_kills (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_team_stats column avg_player_rating (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_team_stats column avg_round_time (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_missplays_in_rounds column id (type BIGINT[19]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_missplays_in_rounds column coach_match_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_missplays_in_rounds column coach_player_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_missplays_in_rounds column missplay_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_missplays_in_rounds column round (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_missplays_in_rounds column time (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_missplays_in_rounds column x (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_missplays_in_rounds column y (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_missplays_in_rounds column z (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_rifle_strafing column coach_match_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_rifle_strafing column match_platform (type VARCHAR[50]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_rifle_strafing column match_date (type TIMESTAMP[19]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_rifle_strafing column coach_player_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_rifle_strafing column player_rank (type VARCHAR[20]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_rifle_strafing column rifle_strafing (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_players column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_players column steam_id_64 (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_players column current_rank (type VARCHAR[20]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_sub_stats column match_map_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_sub_stats column player_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_sub_stats column sub_stat (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_sub_stats column score (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_weapons column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_weapons column coach_match_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_weapons column coach_player_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_weapons column weapon_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_weapons column team_side (type VARCHAR[2]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_weapons column team (type ENUM[2]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_weapons column total_purchases (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_weapons column total_kills (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_weapons column total_headshots (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_weapons column total_deaths (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_weapons column total_rounds (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_weapons column spray_accuracy (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_weapons column accuracy (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_weapons column adr (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_weapons column profitability (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_weapons column shots (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_weapons column sprays (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_weapons column shot_hits (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_weapons column spray_hits (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_weapons column crosshair_placement (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_weapons column total_headshot_kills (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_weapons column total_possessions (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_weapons column total_damage (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_weapons column quickscopes (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_weapons column quickscope_hits (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_weapons column hits_head (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_weapons column hits_chest (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_weapons column counter_strafing (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_weapons column shots_spotted (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_weapons column hits_spotted (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table average_stats_for_rank column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table average_stats_for_rank column player_rank (type VARCHAR[50]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table average_stats_for_rank column platform (type VARCHAR[50]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table average_stats_for_rank column stat_name (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table average_stats_for_rank column stat_value (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_matches column user_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_matches column coach_match_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_matches column steam_id_64 (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_matches column team_side (type VARCHAR[2]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table map_fight_spots column map_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table map_fight_spots column x (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table map_fight_spots column y (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table map_fight_spots column played (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table map_fight_spots column won (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table average_general_stats_for_rank column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table average_general_stats_for_rank column player_rank (type VARCHAR[50]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table average_general_stats_for_rank column platform (type VARCHAR[50]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table average_general_stats_for_rank column kills_deaths_ratio (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table average_general_stats_for_rank column avg_damage_per_round (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table average_general_stats_for_rank column kills_per_match (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table average_general_stats_for_rank column deaths_per_match (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table average_general_stats_for_rank column flash_efficiency (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table average_general_stats_for_rank column hs_rate (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_matches column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_matches column match_id (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_matches column demo_url (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_matches column match_platform (type VARCHAR[50]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_matches column match_type (type VARCHAR[100]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_matches column match_date (type TIMESTAMP[19]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_matches column left_team_score (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_matches column right_team_score (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_matches column map_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_matches column coach_match_states (type ENUM[15]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_matches column inserted_date (type TIMESTAMP[19]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_matches column downloaded_at (type TIMESTAMP[19]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_matches column processing_finished (type TIMESTAMP[19]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_matches column reported (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_matches column side_surrendered (type ENUM[5]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_kills column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_kills column coach_match_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_kills column killing_coach_player_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_kills column killed_coach_player_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_kills column round (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_kills column killed_position_x (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_kills column killed_position_y (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_kills column killed_position_z (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_kills column killed_by_bomb (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_kills column weapon_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_kills column assisting_coach_player_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_kills column killer_position_x (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_kills column killer_position_y (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_kills column killer_position_z (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table challenge_weapons column weapon_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table challenge_weapons column challenge_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_predefined_training_level_segment_units column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_predefined_training_level_segment_units column user_training_level_segment_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_predefined_training_level_segment_units column name (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_predefined_training_level_segment_units column goal (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_predefined_training_level_segment_units column goal_type (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table users column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table users column login (type VARCHAR[150]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table users column platform (type VARCHAR[50]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table users column social_id (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table users column steam_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table users column deleted (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table users column deleted_date (type TIMESTAMP[19]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table users column steam_authentication_code (type VARCHAR[100]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table users column steam_last_known_match_share_token (type VARCHAR[250]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table users column faceit_login (type VARCHAR[250]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table users column faceit_steam_id (type BIGINT[19]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table users column faceit_player_id (type VARCHAR[250]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table users column faceit_last_known_match (type VARCHAR[250]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table users column steam_rank (type VARCHAR[20]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table users column faceit_rank (type VARCHAR[20]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table users column registered_at (type TIMESTAMP[19]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table users column esportal_username (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table users column esportal_id (type BIGINT[19]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table users column esportal_steam_id (type BIGINT[19]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table users column esportal_last_known_match (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table users column esportal_rank (type VARCHAR[20]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table users column private_account (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table users column private_steam (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table users column private_faceit (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table users column private_esportal (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table users column private_upload (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table users column xsolla_id (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table users column mailchimp_id (type VARCHAR[32]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table users column pro_status_valid_date (type DATETIME[19]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table users column is_trial_active (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table users column last_session_timestamp (type TIMESTAMP[19]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table users column affiliation_program (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table users column cid (type VARCHAR[30]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_utilities_raw column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_utilities_raw column match_map_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_utilities_raw column player_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_utilities_raw column round (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_utilities_raw column utility_type (type ENUM[7]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_utilities_raw column position_x (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_utilities_raw column position_y (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_utilities_raw column position_z (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_utilities_raw column origin_x (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_utilities_raw column origin_y (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_utilities_raw column origin_z (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_to_hltv_player column player_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_to_hltv_player column hltv_player_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_to_hltv_player column last_updated_at (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_rating_dates column id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_rating_dates column rating_date (type DATE[10]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_stat_rank_averages column platform (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_stat_rank_averages column stat (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_stat_rank_averages column rank (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_stat_rank_averages column score (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table comments_rating column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table comments_rating column user_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table comments_rating column rating (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table comments_rating column comment_af_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table comments_rating column comment_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_rounds_results column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_rounds_results column coach_match_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_rounds_results column round (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_rounds_results column winner_team_side (type VARCHAR[2]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_rounds_results column reason (type ENUM[9]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_rounds_results column mvp_coach_player_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_rounds_results column coach_player_defused_bomb_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_plugin_data column user_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_plugin_data column data (type TEXT[65535]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column match_map_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column player_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column round (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column side (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column won (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column kills (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column trade_kills (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column hs_kills (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column clutch_kills (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column deaths (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column traded (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column assists (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column flash_assists (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column opening_kills (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column opening_deaths (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column dmg_dealt (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column own_damage (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column team_players_hurt (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column team_kills (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column self_kills (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column exit_kills (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column deaths_flashed (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column bomb_plants (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column bomb_defused (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column fake_plant (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column fake_defuse (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column got_flashed (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column opponents_flashed (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column kills_to_flashed (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column clutch_plants (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column clutch_defuses (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column kills_after_fake (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column deaths_without_seeing (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column kills_to_not_seeing (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column first_see (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column first_contact (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column death_time (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column opponents_hurt (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column dmg_sources (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column flashed (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column flash_caused (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column distance_covered (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column distance_towards_enemy (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column distance_in_right_dir (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column distance_from_team (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column equipment_value (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column cash_spent (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column cash_earned (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column initial_site (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column site_changes (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column scoped_battles_won (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column scoped_battles_lost (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column first_to_see (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column first_damage (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column had_awp (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column died_unscoped (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column died_knife_nade (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column early_distance (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column aggression (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column positioning (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column rating (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column def_rating (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column off_rating (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column bomb_planted (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column site_planted (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column mvp (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table maps column id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table maps column map_name (type VARCHAR[150]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table maps column active_duty (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table maps column game_pace (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table maps column matches_played_on_map (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table maps column ct_won_rounds (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table maps column t_won_rounds (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table maps column total_rounds (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table maps column aggression (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table maps column positioning (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table maps column tactical_responsiveness (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table maps column sniping (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table maps column search_for_first_contact (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table maps column use_of_flash_grenades (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table maps column use_of_molotova_cocktails (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table maps column use_of_smoke_grenades (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table maps column use_of_grenades (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table maps column frequent_changes_in_position (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table maps column long_short_distance_duels (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table maps column pistol_rounds (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table maps column slug (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table maps column esportlab_id (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table players_similarities column coach_player_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table players_similarities column player_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table players_similarities column value (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table stats_benchmark column id (type BIGINT[19]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table stats_benchmark column variable (type VARCHAR[45]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table stats_benchmark column type (type VARCHAR[45]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table stats_benchmark column platform (type VARCHAR[45]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table stats_benchmark column value (type FLOAT[12]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_stats column id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_stats column team_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_stats column match_map_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_stats column rounds_t (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_stats column rounds_ct (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_stats column won_rounds_t (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_stats column won_rounds_ct (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_stats column won_rounds_by_kills (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_stats column won_rounds_by_explosion (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_stats column won_rounds_by_defuse (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_stats column won_rounds_by_time (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_stats column rating (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_stats column t_rating (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_stats column ct_rating (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_stats column total_kills (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_stats column total_headshots (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_stats column total_deaths (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_stats column damage_per_round (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_stats column grenade_damage_per_round (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_stats column clutches_1_2_won (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_stats column clutches_1_2_played (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_stats column clutches_1_3_played (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_stats column clutches_1_4_played (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_stats column clutches_1_5_played (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_stats column clutches_1_3_won (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_stats column clutches_1_4_won (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_stats column clutches_1_5_won (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_stats column bombs_planted (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_stats column bombs_defused (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_stats column opening_kills (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_stats column avg_player_rating (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_stats column avg_round_time (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_recoil_average column coach_match_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_recoil_average column coach_player_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_recoil_average column weapon_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_recoil_average column shot (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_recoil_average column control_x (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_recoil_average column control_y (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_recoil_average column scoped (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_week_maps column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_week_maps column user_training_week_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_week_maps column name (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_week_maps column url (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_week_maps column training_done (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_week_maps column training_goal (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_week_maps column training_week_day (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_week_maps column skill (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_week_maps column map_id (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_week_maps column map_type (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_week_maps column weapon_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_common_match_edges column user_a (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_common_match_edges column user_b (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_common_match_edges column matches_played (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_common_match_edges column matches_won (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_common_match_edges column kills_a (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_common_match_edges column assists_a (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_common_match_edges column deaths_a (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_common_match_edges column kills_b (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_common_match_edges column assists_b (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_common_match_edges column deaths_b (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table skill_sub_stats column id (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table skill_sub_stats column skill_id (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table skill_sub_stats column name (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table skill_sub_stats column weight (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_sessions column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_sessions column user_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_sessions column session_timestamp (type TIMESTAMP[19]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_sessions column request_path (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table server_usage_stats_players column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table server_usage_stats_players column server_usage_stats_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table server_usage_stats_players column steam_id_64 (type BIGINT[19]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table server_usage_stats_players column user_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table server_usage_stats_players column had_pro_status (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table server_usage_stats_players column had_pro_trial (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table server_usage_stats_players column ping (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table server_usage_stats_players column play_time_in_s (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_kills_raw column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_kills_raw column match_map_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_kills_raw column killing_player_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_kills_raw column killed_player_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_kills_raw column round (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_kills_raw column killed_position_x (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_kills_raw column killed_position_y (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_kills_raw column killed_position_z (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_kills_raw column killed_by_bomb (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_kills_raw column weapon_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_kills_raw column assisting_player_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_kills_raw column killer_position_x (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_kills_raw column killer_position_y (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_kills_raw column killer_position_z (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column match_map_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column player_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column team_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column kills (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column deaths (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column assists (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column trade_kills (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column clutch_kills (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column dmg_dealt (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column team_players_hurt (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column self_kills (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column deaths_flashed (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column bombs_defused (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column fake_plants (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column fake_defuses (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column got_flashed (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column opponents_flashed (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column kills_to_flashed (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column kills_to_not_seeing (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column first_see_in_seconds (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column first_contact_in_seconds (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column avg_death_time (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column opponents_hurt (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column dmg_sources (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column flashed (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column flashes_caused (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column avg_distance_covered (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column avg_distance_towards_enemy (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column avg_distance_in_right_dir (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column avg_distance_from_team (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column avg_equipment_value (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column cash_spent (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column cash_earned (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column site_changes (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column scoped_battles_won (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column scoped_battles_lost (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column first_to_see (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column first_damages (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column number_of_possessed_awp (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column dies_unscoped (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column dies_knife_nade (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column early_distance (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column bomb_planted (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column site_plants (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column mvps (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column traded (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column headshot_kills (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column opening_kills (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column opening_deaths (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column no_kills (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column multiple_kills (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column kast (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column rounds_played (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column own_damage (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column team_hurt (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column team_kills (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column exit_kills (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column flashed_deaths (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column flash_assists (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column kills_flashed (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column bomb_plants (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column clutch_plants (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column bomb_defuses (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column clutch_defuses (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column kills_after_fake (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column deaths_no_seeing (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column adr (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column rating (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column t_rating (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column ct_rating (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column rifler (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column support (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column awper (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column entry_fragger (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column lurker (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column first_round_side (type VARCHAR[2]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column sniper_strafing (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column sniper_crosshair_placement (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column avg_reaction_time (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column flash_efficency (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column rifle_strafing (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column rifle_sprays_while_opponent_spotted (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column rifle_spray_hits_while_opponent_spotted (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column rifle_good_hits_while_opponent_spotted (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column rifle_weapon_shots_while_opponent_spotted (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column rifle_weapon_hits_while_opponent_spotted (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column rifle_kills (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column rifle_hs_kills (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column sniper_hs_kills (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column sniper_kills (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column sniper_weapon_hits_while_opponent_spotted (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column sniper_weapon_shots_while_opponent_spotted (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column sniper_good_hits_while_opponent_spotted (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column utilities_dmg (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column flashes_thrown (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column opponents_flashed_time (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column rifler_crosshair_placement (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column weapon_shots (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column weapon_hits (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column weapon_shots_spotted (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column weapon_hits_spotted (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_generated_message_thumbs_up column user_generated_message_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_generated_message_thumbs_up column user_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table progression_tab_stats_benchmark column id (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table progression_tab_stats_benchmark column match_platform (type VARCHAR[45]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table progression_tab_stats_benchmark column player_rank (type VARCHAR[45]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table progression_tab_stats_benchmark column feature (type VARCHAR[45]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table progression_tab_stats_benchmark column score (type FLOAT[12]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_maps_states column state (type ENUM[8]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_maps_states column count(1) (type BIGINT[19]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_hitboxes column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_hitboxes column coach_match_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_hitboxes column coach_player_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_hitboxes column weapon_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_hitboxes column total_shots (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_hitboxes column shots_in_head (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_hitboxes column shots_in_chest (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_hitboxes column shots_in_stomach (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_hitboxes column shots_in_left_arm (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_hitboxes column shots_in_right_arm (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_hitboxes column shots_in_left_leg (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_hitboxes column shots_in_right_leg (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_stats_per_level column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_stats_per_level column primary_role (type VARCHAR[50]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_stats_per_level column level (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_stats_per_level column aim (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_stats_per_level column pistol (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_stats_per_level column rifle (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_stats_per_level column sniping (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_stats_per_level column utilities (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_stats_per_level column teamplay (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table csgo_server_messages column id (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table csgo_server_messages column message_text (type VARCHAR[1000]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table csgo_server_messages column user_type (type ENUM[34]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table csgo_server_messages column period_visability_in_s (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table map_game_modes column id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table map_game_modes column map_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table map_game_modes column game_mode_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_utilities column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_utilities column coach_match_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_utilities column coach_player_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_utilities column round (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_utilities column utility_type (type ENUM[7]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_utilities column position_x (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_utilities column position_y (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_utilities column position_z (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_analyzer_logs column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_analyzer_logs column coach_match_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_analyzer_logs column log_type (type ENUM[20]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_analyzer_logs column error_log (type TEXT[65535]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_analyzer_logs column inserted_date (type TIMESTAMP[19]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_characteristics_raw column id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_characteristics_raw column team_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_characteristics_raw column match_map_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_characteristics_raw column defence (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_characteristics_raw column offence (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_characteristics_raw column speed_style (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_characteristics_raw column retakes (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_characteristics_raw column utility_usage (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_characteristics_raw column sniping (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_characteristics_raw column pistol_rounds (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_characteristics_raw column using_player_advantage (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_characteristics_raw column clutch_plays (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_characteristics_raw column comebacks (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_characteristics_raw column holding_onto_the_lead (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_characteristics_raw column trading_deaths (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_characteristics_raw column opening_kills (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_characteristics_raw column positioning (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_characteristics_raw column defence_against_snipers (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_characteristics_raw column offence_against_snipers (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_characteristics_raw column aggression (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_characteristics_raw column defensive_offensive_rating (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_characteristics_raw column sniper_dependency (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_characteristics_raw column utilities_usage (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_characteristics_raw column focusing_style (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_characteristics_raw column positioning_style (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_characteristics_raw column player_dependency (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_ratings column id (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_ratings column player_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_ratings column ranking_position (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_ratings column value (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_ratings column player_rating_date_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_rifle_shots_to_kill column coach_match_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_rifle_shots_to_kill column match_platform (type VARCHAR[50]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_rifle_shots_to_kill column match_date (type TIMESTAMP[19]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_rifle_shots_to_kill column coach_player_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_rifle_shots_to_kill column player_rank (type VARCHAR[20]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_rifle_shots_to_kill column rifle_shots_to_kill (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_flash_efficiency column coach_match_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_flash_efficiency column match_platform (type VARCHAR[50]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_flash_efficiency column match_date (type TIMESTAMP[19]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_flash_efficiency column coach_player_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_flash_efficiency column player_rank (type VARCHAR[20]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_flash_efficiency column flash_efficiency (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_sub_stats_v2 column coach_match_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_sub_stats_v2 column coach_player_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_sub_stats_v2 column sub_stat (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_sub_stats_v2 column score (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_skills_to_improve column coach_player_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_skills_to_improve column advanced_stat (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_skills_to_improve column sub_stat (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_choice_stats column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_choice_stats column radar_stats (type VARCHAR[50]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_choice_stats column sub_stats (type VARCHAR[50]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_v2_unit_tags column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_v2_unit_tags column unit_name (type VARCHAR[50]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_v2_unit_tags column tag (type VARCHAR[50]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_steam_jsons column coach_match_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_steam_jsons column json_data (type TEXT[65535]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_advanced_stats column coach_match_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_advanced_stats column coach_player_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_advanced_stats column aggression (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_advanced_stats column positioning (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_advanced_stats column aiming (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_advanced_stats column gamepace (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_advanced_stats column responsiveness (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_advanced_stats column utilitiesusage (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_advanced_stats column sniping (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_advanced_stats column clutch (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_advanced_stats column teamplay (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_players_to_follow column user_training_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_players_to_follow column player_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_characteristics column id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_characteristics column team_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_characteristics column match_map_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_characteristics column defence (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_characteristics column offence (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_characteristics column speed_style (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_characteristics column retakes (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_characteristics column utility_usage (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_characteristics column sniping (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_characteristics column pistol_rounds (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_characteristics column using_player_advantage (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_characteristics column clutch_plays (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_characteristics column comebacks (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_characteristics column holding_onto_the_lead (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_characteristics column trading_deaths (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_characteristics column opening_kills (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_characteristics column positioning (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_characteristics column defence_against_snipers (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_characteristics column offence_against_snipers (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_characteristics column aggression (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_characteristics column defensive_offensive_rating (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_characteristics column sniper_dependency (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_characteristics column utilities_usage (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_characteristics column focusing_style (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_characteristics column positioning_style (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_characteristics column player_dependency (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_recoils column coach_match_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_recoils column coach_player_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_recoils column spray_id (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_recoils column shot (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_recoils column weapon_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_recoils column control_x (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_recoils column control_y (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_recoils column scoped (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_v2_levels column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_v2_levels column user_training_v2_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_v2_levels column level (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_v2_levels column inserted_date (type TIMESTAMP[19]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_v2_levels column finished_date (type TIMESTAMP[19]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_v2_levels column current_overall (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_v2_levels column overall_at_start (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_player_unit_report_skills_components column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_player_unit_report_skills_components column coach_player_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_player_unit_report_skills_components column rifle_hs_kills_share (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_player_unit_report_skills_components column sniper_hs_kills_share (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_player_unit_report_skills_components column rifle_accuracy_spotted (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_player_unit_report_skills_components column sniper_accuracy_spotted (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_player_unit_report_skills_components column rifle_good_hits_share (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_player_unit_report_skills_components column sniper_good_hits_share (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_player_unit_report_skills_components column rifle_spray_accuracy_spotted (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_player_unit_report_skills_components column rifle_counter_strafing (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_player_unit_report_skills_components column sniper_counter_strafing (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_player_unit_report_skills_components column rifle_crosshair_placement (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_player_unit_report_skills_components column sniper_crosshair_placement (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_player_unit_report_skills_components column flash_efficiency (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_player_unit_report_skills_components column teammates_flash_efficiency (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_player_unit_report_skills_components column flashes_leading_to_kill_share (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_player_unit_report_skills_components column utility_value_at_death (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_player_unit_report_skills_components column utilities_thrown (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_player_unit_report_skills_components column utility_damage (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_player_unit_report_skills_components column reaction_time (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_player_unit_report_skills_components column inserted_date (type DATE[10]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_rifle_accuracy_spotted column coach_match_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_rifle_accuracy_spotted column match_platform (type VARCHAR[50]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_rifle_accuracy_spotted column match_date (type TIMESTAMP[19]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_rifle_accuracy_spotted column coach_player_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_rifle_accuracy_spotted column player_rank (type VARCHAR[20]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_rifle_accuracy_spotted column rifle_accuracy_spotted (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_characteristics column id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_characteristics column team_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_characteristics column defence (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_characteristics column offence (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_characteristics column speed_style (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_characteristics column retakes (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_characteristics column utility_usage (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_characteristics column sniping (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_characteristics column pistol_rounds (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_characteristics column using_player_advantage (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_characteristics column clutch_plays (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_characteristics column comebacks (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_characteristics column holding_onto_the_lead (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_characteristics column trading_deaths (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_characteristics column opening_kills (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_characteristics column positioning (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_characteristics column defence_against_snipers (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_characteristics column offence_against_snipers (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_characteristics column aggression (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_characteristics column defensive_offensive_rating (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_characteristics column sniper_dependency (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_characteristics column utilities_usage (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_characteristics column focusing_style (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_characteristics column positioning_style (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_characteristics column player_dependency (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table search_requests column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table search_requests column phrase (type VARCHAR[150]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table search_requests column counter (type BIGINT[19]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_ratings column id (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_ratings column team_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_ratings column ranking_position (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_ratings column value (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_ratings column team_rating_date_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table server_usage_stats column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table server_usage_stats column server_public_ip (type VARCHAR[15]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table server_usage_stats column server_local_ip (type VARCHAR[15]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table server_usage_stats column server_hostname (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table server_usage_stats column region (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table server_usage_stats column players_count (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table server_usage_stats column inserted_timestamp (type TIMESTAMP[19]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_performance_based_on_roles_and_ranks column platform (type VARCHAR[50]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_performance_based_on_roles_and_ranks column player_rank (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_performance_based_on_roles_and_ranks column role (type VARCHAR[50]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_performance_based_on_roles_and_ranks column aggression (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_performance_based_on_roles_and_ranks column aiming (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_performance_based_on_roles_and_ranks column clutch (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_performance_based_on_roles_and_ranks column gamepace (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_performance_based_on_roles_and_ranks column positioning (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_performance_based_on_roles_and_ranks column responsiveness (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_performance_based_on_roles_and_ranks column sniping (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_performance_based_on_roles_and_ranks column teamplay (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_performance_based_on_roles_and_ranks column utilities_usage (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_purchase_strategies column id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_purchase_strategies column match_map_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_purchase_strategies column team_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_purchase_strategies column played_as_team (type ENUM[2]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_purchase_strategies column strategy_eco (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_purchase_strategies column strategy_force (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_purchase_strategies column strategy_buy (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_rifle_accuracy column coach_match_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_rifle_accuracy column match_platform (type VARCHAR[50]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_rifle_accuracy column match_date (type TIMESTAMP[19]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_rifle_accuracy column coach_player_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_rifle_accuracy column player_rank (type VARCHAR[20]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_rifle_accuracy column rifle_accuracy (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table xsolla_payment_hooks column id (type BIGINT[19]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table xsolla_payment_hooks column user_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table xsolla_payment_hooks column xsolla_payload (type TEXT[65535]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table xsolla_payment_hooks column notification_type (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table xsolla_payment_hooks column error_reason (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table xsolla_payment_hooks column subscription_id (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table xsolla_payment_hooks column transaction_id (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table xsolla_payment_hooks column pro_status_days (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table xsolla_payment_hooks column pro_status_months (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_single_match_advanced_stats_v2 column coach_match_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_single_match_advanced_stats_v2 column coach_player_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_single_match_advanced_stats_v2 column aim (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_single_match_advanced_stats_v2 column pistol (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_single_match_advanced_stats_v2 column rifle (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_single_match_advanced_stats_v2 column sniping (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_single_match_advanced_stats_v2 column utilities (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_single_match_advanced_stats_v2 column teamplay (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_single_match_advanced_stats_v2 column movement (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table server_subtypes column id (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table server_subtypes column name (type VARCHAR[50]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table server_subtypes column description (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table server_subtypes column server_type_id (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table subscription_cohorts column user_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table subscription_cohorts column days_until_subscribed (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_month_progresses column user_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_month_progresses column matches (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_month_progresses column skill (type VARCHAR[50]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_month_progresses column progress_value (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_month_progresses column progress_month (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_month_progresses column progress_year (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_choice_units column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_choice_units column user_training_choice_stats_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_choice_units column unit_name (type VARCHAR[50]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_choice_units column unit_type (type ENUM[4]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_choice_units column goal (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_choice_units column server_type_id (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table subscription_monitoring column date (type DATE[10]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table subscription_monitoring column payment_amount (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table subscription_monitoring column qty (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table advanced_stats_transformation_data column stat_id (type VARCHAR[50]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table advanced_stats_transformation_data column variable (type VARCHAR[50]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table advanced_stats_transformation_data column value (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_server_weapon_stats column id (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_server_weapon_stats column shots (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_server_weapon_stats column hits (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_server_weapon_stats column damage (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_server_weapon_stats column kills (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_server_weapon_stats column kills_hs (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_server_weapon_stats column time_possession (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_server_weapon_stats column hitgroup_generic (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_server_weapon_stats column hitgroup_head (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_server_weapon_stats column hitgroup_chest (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_server_weapon_stats column hitgroup_stomach (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_server_weapon_stats column hitgroup_leftarm (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_server_weapon_stats column hitgroup_rightarm (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_server_weapon_stats column hitgroup_leftleg (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_server_weapon_stats column hitgroup_rightleg (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_server_weapon_stats column hitgroup_neck (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_server_weapon_stats column hitgroup_gear (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_server_weapon_stats column weapon_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_server_weapon_stats column user_server_stats_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table performance_radar_percentile_benchmark column id (type BIGINT[19]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table performance_radar_percentile_benchmark column radar_skill (type VARCHAR[50]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table performance_radar_percentile_benchmark column sub_statistic (type VARCHAR[50]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table performance_radar_percentile_benchmark column percentile (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table performance_radar_percentile_benchmark column scoreatpercentile (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_team_purchase_strategies column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_team_purchase_strategies column coach_match_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_team_purchase_strategies column team_side (type VARCHAR[2]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_team_purchase_strategies column played_as_team (type ENUM[2]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_team_purchase_strategies column strategy_eco (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_team_purchase_strategies column strategy_force (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_team_purchase_strategies column strategy_buy (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_week_progress column user_training_week_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_week_progress column matches (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_week_progress column skill (type VARCHAR[50]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_week_progress column value (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_kills_raw column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_kills_raw column coach_match_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_kills_raw column killing_coach_player_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_kills_raw column killed_coach_player_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_kills_raw column round (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_kills_raw column killed_position_x (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_kills_raw column killed_position_y (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_kills_raw column killed_position_z (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_kills_raw column killed_by_bomb (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_kills_raw column weapon_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_kills_raw column assisting_coach_player_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_kills_raw column killer_position_x (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_kills_raw column killer_position_y (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_kills_raw column killer_position_z (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_heatmap_per_rounds column id (type BIGINT[19]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_heatmap_per_rounds column match_map_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_heatmap_per_rounds column player_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_heatmap_per_rounds column json_data (type MEDIUMTEXT[16777215]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_to_hltv_match column match_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_to_hltv_match column hltv_match_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_to_hltv_match column demo_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_weapons_raw column match_map_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_weapons_raw column player_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_weapons_raw column weapon_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_weapons_raw column round (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_weapons_raw column kills (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_weapons_raw column hs_kills (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_weapons_raw column hits (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_weapons_raw column shots (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_weapons_raw column hits_left_arm (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_weapons_raw column hits_right_arm (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_weapons_raw column hits_chest (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_weapons_raw column hits_stomach (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_weapons_raw column hits_left_leg (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_weapons_raw column hits_right_leg (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_weapons_raw column hits_head (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_weapons_raw column sprays (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_weapons_raw column spray_hits (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_weapons_raw column sprays_left_arm (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_weapons_raw column sprays_right_arm (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_weapons_raw column sprays_chest (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_weapons_raw column sprays_stomach (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_weapons_raw column sprays_left_leg (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_weapons_raw column sprays_right_leg (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_weapons_raw column sprays_head (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_weapons_raw column damage_dealt (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_weapons_raw column buys (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_weapons_raw column drops (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_weapons_raw column pickups (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_weapons_raw column damage_received (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_weapons_raw column profitability (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_weapons_raw column weapon_shots_while_opponent_spotted (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_weapons_raw column weapon_hits_while_opponent_spotted (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_weapons_raw column crosshair_placement (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_weapons_raw column tap_shots (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_weapons_raw column tap_hits (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_weapons_raw column weapon_shots_opponent_not_seeing (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_weapons_raw column weapon_hits_opponent_not_seeing (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_player_strengths_and_weaknesses column coach_player_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_player_strengths_and_weaknesses column skill (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_player_strengths_and_weaknesses column score (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table events column id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table events column name (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table events column important (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table events column date_from (type DATETIME[19]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table events column date_to (type DATETIME[19]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table events column prize (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table events column prize_currency (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table events column location (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table events column location_type (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table challenge_types column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table challenge_types column name (type VARCHAR[50]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table skills column id (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table skills column name (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_notifications column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_notifications column user_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_notifications column notification_type (type ENUM[8]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_notifications column is_read (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_notifications column inserted_date (type TIMESTAMP[19]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_notifications column generated_by_user_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table average_training_result column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table average_training_result column platform (type VARCHAR[20]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table average_training_result column player_rank (type VARCHAR[50]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table average_training_result column avg_training_kills (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table average_training_result column kills_90_quantile (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table average_training_result column training_time (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table average_training_result column avg_training_time (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table average_training_result column training_time_90_quantile (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table average_training_result column matches_played (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table average_training_result column avg_matches_played (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table average_training_result column matches_played_90_quantile (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table financial_subscription_breakdown column id (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table financial_subscription_breakdown column payment_date (type DATE[10]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table financial_subscription_breakdown column type (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table financial_subscription_breakdown column spreaded_payment (type FLOAT[12]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table financial_subscription_breakdown column cashflow_amount (type FLOAT[12]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_utilities_raw column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_utilities_raw column coach_match_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_utilities_raw column coach_player_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_utilities_raw column round (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_utilities_raw column utility_type (type ENUM[7]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_utilities_raw column position_x (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_utilities_raw column position_y (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_utilities_raw column position_z (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_utilities_raw column origin_x (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_utilities_raw column origin_y (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_utilities_raw column origin_z (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_fun_facts column id (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_fun_facts column coach_match_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_fun_facts column coach_player_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_fun_facts column fun_fact (type TEXT[65535]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_predefined_training_levels column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_predefined_training_levels column primary_role (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_predefined_training_levels column level (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_advanced_stats_v2 column coach_match_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_advanced_stats_v2 column coach_player_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_advanced_stats_v2 column aim (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_advanced_stats_v2 column pistol (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_advanced_stats_v2 column rifle (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_advanced_stats_v2 column sniping (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_advanced_stats_v2 column utilities (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_advanced_stats_v2 column teamplay (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_advanced_stats_v2 column movement (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_flicks column id (type BIGINT[19]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_flicks column coach_match_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_flicks column coach_player_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_flicks column time (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_flicks column flick (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_flicks column direction_x (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_flicks column direction_y (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_flicks column scoped (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_flicks column weapon_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_flicks column hit (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_v2_level_segments column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_v2_level_segments column user_training_v2_level_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_v2_level_segments column current_progress (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_v2_level_segments column name (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_v2_level_segments column is_done (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_v2_level_segments column user_training_stats_per_level_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_rounds_results column id (type BIGINT[19]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_rounds_results column match_map_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_rounds_results column round (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_rounds_results column winner_team_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_rounds_results column reason (type ENUM[9]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_rounds_results column mvp_player_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_rounds_results column player_defused_bomb_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_follow_suggestions column user_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_follow_suggestions column to_follow_user_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table challenge_maps column map_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table challenge_maps column challenge_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_v2_level_segment_unit_start_sessions column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_v2_level_segment_unit_start_sessions column user_training_v2_level_segment_unit_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_v2_level_segment_unit_start_sessions column server_ip (type VARCHAR[15]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_v2_level_segment_unit_start_sessions column inserted_date (type TIMESTAMP[19]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column coach_match_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column coach_player_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column team_side (type VARCHAR[2]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column nickname (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column player_country (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column avatar (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column player_rank (type VARCHAR[20]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column faceit_elo (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column faceit_player_id (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column first_round_side (type VARCHAR[2]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column bomb_planted (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column site_plants (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column mvps (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column traded (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column headshot_kills (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column opening_kills (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column opening_deaths (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column no_kills (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column multiple_kills (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column kast (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column rounds_played (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column own_damage (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column team_hurt (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column team_kills (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column exit_kills (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column flashed_deaths (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column flash_assists (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column kills_flashed (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column bomb_plants (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column clutch_plants (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column bomb_defuses (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column clutch_defuses (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column kills_after_fake (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column deaths_no_seeing (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column adr (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column rating (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column t_rating (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column kills (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column deaths (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column assists (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column trade_kills (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column clutch_kills (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column dmg_dealt (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column team_players_hurt (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column self_kills (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column deaths_flashed (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column bombs_defused (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column fake_plants (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column fake_defuses (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column got_flashed (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column opponents_flashed (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column kills_to_flashed (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column kills_to_not_seeing (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column first_see_in_seconds (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column first_contact_in_seconds (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column avg_death_time (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column opponents_hurt (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column dmg_sources (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column flashed (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column flashes_caused (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column avg_distance_covered (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column avg_distance_towards_enemy (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column avg_distance_in_right_dir (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column avg_distance_from_team (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column avg_equipment_value (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column cash_spent (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column cash_earned (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column site_changes (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column scoped_battles_won (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column scoped_battles_lost (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column first_to_see (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column first_damages (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column number_of_possessed_awp (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column dies_unscoped (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column dies_knife_nade (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column early_distance (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column ct_rating (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column rifler (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column support (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column awper (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column entry_fragger (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column lurker (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column rifle_accuracy (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column rifle_accuracy_spotted (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column rifle_shots_to_kill (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column rifle_crosshair_placement (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column rifle_hs_rate (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column rifle_shots_spotted_to_shots (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column awp_accuracy (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column awp_accuracy_spotted (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column awp_shots_to_kill (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column awp_crosshair_placement (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column scoped_weapon_kills (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column utilities_used (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column utilities_dmg (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column flash_efficiency (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column he_efficiency (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column smoke_efficiency (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column early_utilities (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column knife_kills (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column avg_reaction_time (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column opponents_flashed_time (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column flashes_thrown (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column flashed_teammates_time (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column flashes_leading_to_kill (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column utility_value_at_death (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column rifle_strafing (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column rifle_sprays_while_opponent_spotted (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column rifle_spray_hits_while_opponent_spotted (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column rifle_good_hits_while_opponent_spotted (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column rifle_weapon_shots_while_opponent_spotted (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column rifle_weapon_hits_while_opponent_spotted (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column rifle_kills (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column rifle_hs_kills (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column sniper_hs_kills (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column sniper_kills (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column sniper_weapon_hits_while_opponent_spotted (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column sniper_weapon_shots_while_opponent_spotted (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column sniper_good_hits_while_opponent_spotted (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column sniper_strafing (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column sniper_crosshair_placement (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column weapon_shots (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column weapon_hits (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column weapon_shots_spotted (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column weapon_hits_spotted (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column smoke_quality (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column smoke_throw (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column molo_quality (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column molo_throw (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column weapon_drops (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table average_stats_for_rank_v2 column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table average_stats_for_rank_v2 column player_rank (type VARCHAR[50]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table average_stats_for_rank_v2 column platform (type VARCHAR[50]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table average_stats_for_rank_v2 column stat_name (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table average_stats_for_rank_v2 column stat_value (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table training_v2_unit_benchmarks column skill (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table training_v2_unit_benchmarks column unit (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table training_v2_unit_benchmarks column criteria (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table training_v2_unit_benchmarks column percentile (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table training_v2_unit_benchmarks column value (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_rifle_crosshair_placement column coach_match_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_rifle_crosshair_placement column match_platform (type VARCHAR[50]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_rifle_crosshair_placement column match_date (type TIMESTAMP[19]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_rifle_crosshair_placement column coach_player_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_rifle_crosshair_placement column player_rank (type VARCHAR[20]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_rifle_crosshair_placement column rifle_crosshair_placement (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_rating_dates column id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_rating_dates column rating_date (type DATE[10]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table players_with_ranking column id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table players_with_ranking column nick (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table players_with_ranking column name (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table players_with_ranking column surname (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table players_with_ranking column country (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table players_with_ranking column team_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table players_with_ranking column photo (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table players_with_ranking column bodyshot (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table players_with_ranking column birth_year (type YEAR[4]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table players_with_ranking column login (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table players_with_ranking column rating_value (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table players_with_ranking column ranking_position (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table players_with_ranking column last_rating_value (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table players_with_ranking column last_ranking_position (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_sniper_strafing column coach_match_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_sniper_strafing column match_platform (type VARCHAR[50]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_sniper_strafing column match_date (type TIMESTAMP[19]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_sniper_strafing column coach_player_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_sniper_strafing column player_rank (type VARCHAR[20]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_sniper_strafing column sniper_strafing (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table advanced_stats_percentiles column stat_id (type VARCHAR[50]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table advanced_stats_percentiles column perc2 (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table advanced_stats_percentiles column perc3 (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table advanced_stats_percentiles column perc4 (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table advanced_stats_percentiles column perc5 (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table advanced_stats_percentiles column perc6 (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table advanced_stats_percentiles column perc7 (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table advanced_stats_percentiles column perc8 (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table advanced_stats_percentiles column perc9 (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table advanced_stats_percentiles column perc10 (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column name (type VARCHAR[150]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column weapon_category_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column available_for_team (type ENUM[3]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column price (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column kill_award (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column max_speed (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column rate_of_fire (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column damage (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column dps (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column armor_penetration (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column penetration (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column max_range (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column clip_size (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column max_ammo (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column reload_clip_ready (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column reload_fire_ready (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column recoil (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column recoil_vertical (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column recoil_horizontal (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column spread (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column spread_run (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column spread_stand (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column spread_crouch (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column game_entity_id (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column range_modifier (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column cycle_time (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column weapon_range (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column weapon_class (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column full_auto (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column bullets (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column tracer_frequency (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column flinch_velocity_modifier_large (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column flinch_velocity_modifier_small (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column inaccuracy_crouch (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column inaccuracy_stand (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column inaccuracy_fire (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column inaccuracy_move (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column inaccuracy_jump (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column inaccuracy_jump_initial (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column inaccuracy_land (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column inaccuracy_ladder (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column recovery_time_crouch (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column recovery_time_crouch_final (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column recovery_time_stand (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column recovery_time_stand_final (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column recoil_variance_alt (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column recoil_magnitude (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column recoil_magnitude_variance (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column spread_alt (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column inaccuracy_crouch_alt (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column inaccuracy_stand_alt (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column inaccuracy_fire_alt (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column inaccuracy_move_alt (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column inaccuracy_jump_alt (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column inaccuracy_land_alt (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column inaccuracy_ladder_alt (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column recoil_magnitude_alt (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column recoil_magnitude_variance_alt (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column max_player_speed_alt (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column tracer_frequency_alt (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column zoom_fov (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column zoom_fov_alt (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column cycle_time_alt (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column cycle_time_burst (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column time_in_between_burst_shots (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_trainings column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_trainings column user_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_trainings column platform (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_trainings column primary_role (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_trainings column secondary_role (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_trainings column rank_target (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_trainings column inserted_date (type TIMESTAMP[19]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_single_match_sub_stats_v2 column coach_match_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_single_match_sub_stats_v2 column coach_player_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_single_match_sub_stats_v2 column sub_stat (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_single_match_sub_stats_v2 column score (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_mentor_player_rounds column coach_match_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_mentor_player_rounds column match_round (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_mentor_player_rounds column round_json (type MEDIUMTEXT[16777215]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table improvement_statistics_users column coach_player_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table role_to_stat column role (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table role_to_stat column stat (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_flicks column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_flicks column match_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_flicks column player_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_flicks column time (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_flicks column flick (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_flicks column direction_x (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_flicks column direction_y (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_flicks column scoped (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_flicks column weapon_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_flicks column hit (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapon_recoils column id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapon_recoils column weapon_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapon_recoils column shot (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapon_recoils column control_x (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapon_recoils column control_y (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapon_recoils column scoped (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_leaderboards column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_leaderboards column inserted_date (type DATE[10]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_leaderboards column user_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_leaderboards column total_kills (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_leaderboards column total_time (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_leaderboards column server_type_id (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_leaderboards column deleted (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_characteristics_raw column id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_characteristics_raw column team_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_characteristics_raw column defence (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_characteristics_raw column offence (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_characteristics_raw column speed_style (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_characteristics_raw column retakes (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_characteristics_raw column utility_usage (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_characteristics_raw column sniping (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_characteristics_raw column pistol_rounds (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_characteristics_raw column using_player_advantage (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_characteristics_raw column clutch_plays (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_characteristics_raw column comebacks (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_characteristics_raw column holding_onto_the_lead (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_characteristics_raw column trading_deaths (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_characteristics_raw column opening_kills (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_characteristics_raw column positioning (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_characteristics_raw column defence_against_snipers (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_characteristics_raw column offence_against_snipers (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_characteristics_raw column aggression (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_characteristics_raw column defensive_offensive_rating (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_characteristics_raw column sniper_dependency (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_characteristics_raw column utilities_usage (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_characteristics_raw column focusing_style (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_characteristics_raw column positioning_style (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_characteristics_raw column player_dependency (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_positions column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_positions column coach_match_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_positions column coach_player_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_positions column json_data (type LONGTEXT[2147483647]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_kills column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_kills column match_map_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_kills column killing_player_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_kills column killed_player_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_kills column round (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_kills column killed_position_x (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_kills column killed_position_y (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_kills column killed_position_z (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_kills column killed_by_bomb (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_kills column weapon_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_kills column assisting_player_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_kills column killer_position_x (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_kills column killer_position_y (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_kills column killer_position_z (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_challenges column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_challenges column challenge_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_challenges column user_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_challenges column progress (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_challenges column inserted_date (type TIMESTAMP[19]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_challenges column finished_date (type TIMESTAMP[19]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table matches column id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table matches column left_team_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table matches column right_team_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table matches column left_team_score (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table matches column right_team_score (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table matches column event_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table matches column match_date (type DATETIME[19]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table matches column match_state (type ENUM[10]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table game_modes column id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table game_modes column mode (type TEXT[65535]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table server_types column id (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table server_types column name (type VARCHAR[50]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table users_view column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table users_view column login (type VARCHAR[150]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table users_view column faceit_rank (type VARCHAR[20]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table users_view column steam_rank (type VARCHAR[20]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table users_view column esportal_rank (type VARCHAR[20]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table players column id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table players column nick (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table players column name (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table players column surname (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table players column country (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table players column team_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table players column photo (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table players column bodyshot (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table players column birth_year (type YEAR[4]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table players column login (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_advanced_stats column match_map_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_advanced_stats column player_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_advanced_stats column aggression (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_advanced_stats column positioning (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_advanced_stats column aiming (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_advanced_stats column gamepace (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_advanced_stats column responsiveness (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_advanced_stats column utilitiesusage (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_advanced_stats column sniping (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_advanced_stats column clutch (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_advanced_stats column teamplay (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table teams column id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table teams column name (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table teams column country (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table teams column logo (type VARCHAR[20]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table teams column color (type VARCHAR[7]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table teams column total_matches (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table teams column total_wins (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table teams column last_results (type VARCHAR[5]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_overall_statistics column id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_overall_statistics column match_map_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_overall_statistics column player_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_overall_statistics column aggression (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_overall_statistics column positioning (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_overall_statistics column aiming (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_overall_statistics column game_pace (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_overall_statistics column responsiveness (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_overall_statistics column utilities_usage (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_overall_statistics column sniping (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_overall_statistics column clutch (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_overall_statistics column team_play (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_strengths_and_weaknesses_v2 column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_strengths_and_weaknesses_v2 column coach_match_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_strengths_and_weaknesses_v2 column coach_player_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_strengths_and_weaknesses_v2 column is_strength (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_strengths_and_weaknesses_v2 column skill (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.s.m.MySqlCdcTargetPosition(targetPosition):61 - Target File position : FileName: mysql-bin.000025, Position : 574115100
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.d.AirbyteDebeziumHandler(getIncrementalIterators):72 - using CDC: true
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO o.a.k.c.c.AbstractConfig(logAll):354 - EmbeddedConfig values: 
2022-06-07 15:58:01 source > 	access.control.allow.methods = 
2022-06-07 15:58:01 source > 	access.control.allow.origin = 
2022-06-07 15:58:01 source > 	admin.listeners = null
2022-06-07 15:58:01 source > 	bootstrap.servers = [localhost:9092]
2022-06-07 15:58:01 source > 	client.dns.lookup = use_all_dns_ips
2022-06-07 15:58:01 source > 	config.providers = []
2022-06-07 15:58:01 source > 	connector.client.config.override.policy = None
2022-06-07 15:58:01 source > 	header.converter = class org.apache.kafka.connect.storage.SimpleHeaderConverter
2022-06-07 15:58:01 source > 	internal.key.converter = class org.apache.kafka.connect.json.JsonConverter
2022-06-07 15:58:01 source > 	internal.value.converter = class org.apache.kafka.connect.json.JsonConverter
2022-06-07 15:58:01 source > 	key.converter = class org.apache.kafka.connect.json.JsonConverter
2022-06-07 15:58:01 source > 	listeners = null
2022-06-07 15:58:01 source > 	metric.reporters = []
2022-06-07 15:58:01 source > 	metrics.num.samples = 2
2022-06-07 15:58:01 source > 	metrics.recording.level = INFO
2022-06-07 15:58:01 source > 	metrics.sample.window.ms = 30000
2022-06-07 15:58:01 source > 	offset.flush.interval.ms = 1000
2022-06-07 15:58:01 source > 	offset.flush.timeout.ms = 5000
2022-06-07 15:58:01 source > 	offset.storage.file.filename = /tmp/cdc-state-offset12232186366237579071/offset.dat
2022-06-07 15:58:01 source > 	offset.storage.partitions = null
2022-06-07 15:58:01 source > 	offset.storage.replication.factor = null
2022-06-07 15:58:01 source > 	offset.storage.topic = 
2022-06-07 15:58:01 source > 	plugin.path = null
2022-06-07 15:58:01 source > 	response.http.headers.config = 
2022-06-07 15:58:01 source > 	rest.advertised.host.name = null
2022-06-07 15:58:01 source > 	rest.advertised.listener = null
2022-06-07 15:58:01 source > 	rest.advertised.port = null
2022-06-07 15:58:01 source > 	rest.extension.classes = []
2022-06-07 15:58:01 source > 	rest.host.name = null
2022-06-07 15:58:01 source > 	rest.port = 8083
2022-06-07 15:58:01 source > 	ssl.cipher.suites = null
2022-06-07 15:58:01 source > 	ssl.client.auth = none
2022-06-07 15:58:01 source > 	ssl.enabled.protocols = [TLSv1.2, TLSv1.3]
2022-06-07 15:58:01 source > 	ssl.endpoint.identification.algorithm = https
2022-06-07 15:58:01 source > 	ssl.engine.factory.class = null
2022-06-07 15:58:01 source > 	ssl.key.password = null
2022-06-07 15:58:01 source > 	ssl.keymanager.algorithm = SunX509
2022-06-07 15:58:01 source > 	ssl.keystore.location = null
2022-06-07 15:58:01 source > 	ssl.keystore.password = null
2022-06-07 15:58:01 source > 	ssl.keystore.type = JKS
2022-06-07 15:58:01 source > 	ssl.protocol = TLSv1.3
2022-06-07 15:58:01 source > 	ssl.provider = null
2022-06-07 15:58:01 source > 	ssl.secure.random.implementation = null
2022-06-07 15:58:01 source > 	ssl.trustmanager.algorithm = PKIX
2022-06-07 15:58:01 source > 	ssl.truststore.location = null
2022-06-07 15:58:01 source > 	ssl.truststore.password = null
2022-06-07 15:58:01 source > 	ssl.truststore.type = JKS
2022-06-07 15:58:01 source > 	task.shutdown.graceful.timeout.ms = 5000
2022-06-07 15:58:01 source > 	topic.creation.enable = true
2022-06-07 15:58:01 source > 	topic.tracking.allow.reset = true
2022-06-07 15:58:01 source > 	topic.tracking.enable = true
2022-06-07 15:58:01 source > 	value.converter = class org.apache.kafka.connect.json.JsonConverter
2022-06-07 15:58:01 INFO i.a.v.j.JsonSchemaValidator(test):71 - JSON schema validation failed. 
errors: $: unknown found, object expected
2022-06-07 15:58:01 ERROR i.a.w.i.DefaultAirbyteStreamFactory(lambda$create$1):70 - Validation failed: null
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 WARN o.a.k.c.r.WorkerConfig(logPluginPathConfigProviderWarning):420 - Variables cannot be used in the 'plugin.path' property, since the property is used by plugin scanning before the config providers that replace the variables are initialized. The raw value 'null' was used for plugin scanning, as opposed to the transformed value 'null', and this may cause unexpected results.
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 WARN i.d.c.Configuration(lambda$getFallbackStringProperty$34):2135 - Using configuration property "table.blacklist" is deprecated and will be removed in future versions. Please use "table.exclude.list" instead.
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 WARN i.d.c.Configuration(lambda$getFallbackStringProperty$34):2135 - Using configuration property "table.blacklist" is deprecated and will be removed in future versions. Please use "table.exclude.list" instead.
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 WARN i.d.c.Configuration(lambda$getFallbackStringProperty$34):2135 - Using configuration property "database.blacklist" is deprecated and will be removed in future versions. Please use "database.exclude.list" instead.
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 WARN i.d.c.Configuration(lambda$getFallbackStringProperty$34):2135 - Using configuration property "database.blacklist" is deprecated and will be removed in future versions. Please use "database.exclude.list" instead.
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 WARN i.d.c.Configuration(lambda$getFallbackStringProperty$34):2135 - Using configuration property "column.whitelist" is deprecated and will be removed in future versions. Please use "column.include.list" instead.
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 WARN i.d.c.Configuration(lambda$getFallbackStringProperty$34):2135 - Using configuration property "column.blacklist" is deprecated and will be removed in future versions. Please use "column.exclude.list" instead.
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 WARN i.d.c.Configuration(lambda$getFallbackStringProperty$34):2135 - Using configuration property "column.whitelist" is deprecated and will be removed in future versions. Please use "column.include.list" instead.
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 WARN i.d.c.Configuration(lambda$getFallbackStringProperty$34):2135 - Using configuration property "column.blacklist" is deprecated and will be removed in future versions. Please use "column.exclude.list" instead.
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 WARN i.d.c.Configuration(lambda$getFallbackStringProperty$34):2135 - Using configuration property "column.whitelist" is deprecated and will be removed in future versions. Please use "column.include.list" instead.
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 WARN i.d.c.Configuration(lambda$getFallbackStringProperty$34):2135 - Using configuration property "column.blacklist" is deprecated and will be removed in future versions. Please use "column.exclude.list" instead.
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.d.c.c.BaseSourceTask(start):100 - Starting MySqlConnectorTask with configuration:
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.d.c.c.BaseSourceTask(lambda$start$0):102 -    connector.class = io.debezium.connector.mysql.MySqlConnector
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.d.c.c.BaseSourceTask(lambda$start$0):102 -    snapshot.locking.mode = none
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.d.c.c.BaseSourceTask(lambda$start$0):102 -    max.queue.size = 8192
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.d.c.c.BaseSourceTask(lambda$start$0):102 -    include.schema.changes = false
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.d.c.c.BaseSourceTask(lambda$start$0):102 -    binary.handling.mode = base64
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.d.c.c.BaseSourceTask(lambda$start$0):102 -    offset.storage.file.filename = /tmp/cdc-state-offset12232186366237579071/offset.dat
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.d.c.c.BaseSourceTask(lambda$start$0):102 -    decimal.handling.mode = string
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.d.c.c.BaseSourceTask(lambda$start$0):102 -    converters = boolean, datetime
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.d.c.c.BaseSourceTask(lambda$start$0):102 -    datetime.type = io.airbyte.integrations.debezium.internals.MySQLConverter
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.d.c.c.BaseSourceTask(lambda$start$0):102 -    database.history.file.filename = /tmp/cdc-db-history10096892894753510581/dbhistory.dat
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.d.c.c.BaseSourceTask(lambda$start$0):102 -    database.user = ggpredict_replication_user
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.d.c.c.BaseSourceTask(lambda$start$0):102 -    database.dbname = ggpredict
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.d.c.c.BaseSourceTask(lambda$start$0):102 -    offset.storage = org.apache.kafka.connect.storage.FileOffsetBackingStore
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.d.c.c.BaseSourceTask(lambda$start$0):102 -    boolean.type = io.debezium.connector.mysql.converters.TinyIntOneToBooleanConverter
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.d.c.c.BaseSourceTask(lambda$start$0):102 -    database.server.name = ggpredict
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.d.c.c.BaseSourceTask(lambda$start$0):102 -    database.port = 42177
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.d.c.c.BaseSourceTask(lambda$start$0):102 -    offset.flush.interval.ms = 1000
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.d.c.c.BaseSourceTask(lambda$start$0):102 -    key.converter.schemas.enable = false
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.d.c.c.BaseSourceTask(lambda$start$0):102 -    database.hostname = 127.0.0.1
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.d.c.c.BaseSourceTask(lambda$start$0):102 -    database.password = ********
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.d.c.c.BaseSourceTask(lambda$start$0):102 -    name = ggpredict
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.d.c.c.BaseSourceTask(lambda$start$0):102 -    value.converter.schemas.enable = false
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.d.c.c.BaseSourceTask(lambda$start$0):102 -    max.batch.size = 2048
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.d.c.c.BaseSourceTask(lambda$start$0):102 -    table.include.list = ggpredict.challenge_maps,ggpredict.challenge_types,ggpredict.challenge_weapons,ggpredict.challenges,ggpredict.coach_match_advanced_stats,ggpredict.coach_match_advanced_stats_v2,ggpredict.coach_match_lineups,ggpredict.coach_match_missplays_in_rounds,ggpredict.coach_match_sub_stats,ggpredict.coach_match_sub_stats_v2,ggpredict.coach_matches,ggpredict.coach_players,ggpredict.missplays,ggpredict.user_challenges,ggpredict.user_matches,ggpredict.user_server_live_stats,ggpredict.user_server_stats,ggpredict.user_server_weapon_stats,ggpredict.user_training_v2_level_segment_unit_start_sessions,ggpredict.user_training_v2_level_segment_unit_stats,ggpredict.user_training_v2_level_segment_units,ggpredict.user_training_v2_level_segments,ggpredict.user_training_v2_levels,ggpredict.user_training_v2_streaks,ggpredict.user_training_v2_unit_tags,ggpredict.users
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.d.c.c.BaseSourceTask(lambda$start$0):102 -    snapshot.mode = initial
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.d.c.c.BaseSourceTask(lambda$start$0):102 -    database.history = io.airbyte.integrations.debezium.internals.FilteredFileDatabaseHistory
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.d.c.c.BaseSourceTask(lambda$start$0):102 -    database.include.list = ggpredict
2022-06-07 15:58:01 destination > 2022-06-07 15:58:01 INFO i.a.i.d.b.BigQueryUtils(getLoadingMethod):306 - Selected loading method is set to: STANDARD
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 WARN i.d.c.Configuration(lambda$getFallbackStringProperty$34):2135 - Using configuration property "database.blacklist" is deprecated and will be removed in future versions. Please use "database.exclude.list" instead.
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 WARN i.d.c.Configuration(lambda$getFallbackStringProperty$34):2135 - Using configuration property "table.blacklist" is deprecated and will be removed in future versions. Please use "table.exclude.list" instead.
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 WARN i.d.c.Configuration(lambda$getFallbackStringProperty$34):2135 - Using configuration property "column.blacklist" is deprecated and will be removed in future versions. Please use "column.exclude.list" instead.
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.d.c.c.BaseSourceTask(stop):192 - Stopping down connector
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.d.c.m.MySqlConnectorTask(doStop):453 - Stopping MySQL connector task
2022-06-07 15:58:01 source > 2022-06-07 15:58:01 INFO i.a.i.d.i.DebeziumRecordPublisher(lambda$start$1):85 - Debezium engine shutdown.
2022-06-07 15:58:01 destination > 2022-06-07 15:58:01 INFO i.a.i.d.b.BigQueryUtils(createPartitionedTable):131 - Partitioned table created successfully: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=ggpredict_airbyte, tableId=_airbyte_tmp_nxk_challenges}}
2022-06-07 15:58:02 destination > 2022-06-07 15:58:02 INFO i.a.i.d.b.BigQueryUtils(getLoadingMethod):306 - Selected loading method is set to: STANDARD
2022-06-07 15:58:02 destination > 2022-06-07 15:58:02 INFO i.a.i.d.b.BigQueryUtils(createPartitionedTable):131 - Partitioned table created successfully: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=ggpredict_airbyte, tableId=_airbyte_tmp_ued_coach_match_advanced_stats}}
2022-06-07 15:58:03 destination > 2022-06-07 15:58:03 INFO i.a.i.d.b.BigQueryUtils(getLoadingMethod):306 - Selected loading method is set to: STANDARD
2022-06-07 15:58:03 destination > 2022-06-07 15:58:03 INFO i.a.i.d.b.BigQueryUtils(createPartitionedTable):131 - Partitioned table created successfully: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=ggpredict_airbyte, tableId=_airbyte_tmp_nhn_coach_match_advanced_stats_v2}}
2022-06-07 15:58:03 destination > 2022-06-07 15:58:03 INFO i.a.i.d.b.BigQueryUtils(getLoadingMethod):306 - Selected loading method is set to: STANDARD
2022-06-07 15:58:04 destination > 2022-06-07 15:58:04 INFO i.a.i.d.b.BigQueryUtils(createPartitionedTable):131 - Partitioned table created successfully: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=ggpredict_airbyte, tableId=_airbyte_tmp_alj_coach_match_lineups}}
2022-06-07 15:58:04 destination > 2022-06-07 15:58:04 INFO i.a.i.d.b.BigQueryUtils(getLoadingMethod):306 - Selected loading method is set to: STANDARD
2022-06-07 15:58:04 destination > 2022-06-07 15:58:04 INFO i.a.i.d.b.BigQueryUtils(createPartitionedTable):131 - Partitioned table created successfully: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=ggpredict_airbyte, tableId=_airbyte_tmp_zkg_coach_match_missplays_in_rounds}}
2022-06-07 15:58:05 destination > 2022-06-07 15:58:05 INFO i.a.i.d.b.BigQueryUtils(getLoadingMethod):306 - Selected loading method is set to: STANDARD
2022-06-07 15:58:05 destination > 2022-06-07 15:58:05 INFO i.a.i.d.b.BigQueryUtils(createPartitionedTable):131 - Partitioned table created successfully: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=ggpredict_airbyte, tableId=_airbyte_tmp_aom_coach_match_sub_stats}}
2022-06-07 15:58:05 destination > 2022-06-07 15:58:05 INFO i.a.i.d.b.BigQueryUtils(getLoadingMethod):306 - Selected loading method is set to: STANDARD
2022-06-07 15:58:06 destination > 2022-06-07 15:58:06 INFO i.a.i.d.b.BigQueryUtils(createPartitionedTable):131 - Partitioned table created successfully: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=ggpredict_airbyte, tableId=_airbyte_tmp_fsx_coach_match_sub_stats_v2}}
2022-06-07 15:58:06 destination > 2022-06-07 15:58:06 INFO i.a.i.d.b.BigQueryUtils(getLoadingMethod):306 - Selected loading method is set to: STANDARD
2022-06-07 15:58:06 destination > 2022-06-07 15:58:06 INFO i.a.i.d.b.BigQueryUtils(createPartitionedTable):131 - Partitioned table created successfully: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=ggpredict_airbyte, tableId=_airbyte_tmp_zxl_coach_matches}}
2022-06-07 15:58:07 destination > 2022-06-07 15:58:07 INFO i.a.i.d.b.BigQueryUtils(getLoadingMethod):306 - Selected loading method is set to: STANDARD
2022-06-07 15:58:07 destination > 2022-06-07 15:58:07 INFO i.a.i.d.b.BigQueryUtils(createPartitionedTable):131 - Partitioned table created successfully: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=ggpredict_airbyte, tableId=_airbyte_tmp_wjx_coach_players}}
2022-06-07 15:58:08 destination > 2022-06-07 15:58:08 INFO i.a.i.d.b.BigQueryUtils(getLoadingMethod):306 - Selected loading method is set to: STANDARD
2022-06-07 15:58:08 destination > 2022-06-07 15:58:08 INFO i.a.i.d.b.BigQueryUtils(createPartitionedTable):131 - Partitioned table created successfully: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=ggpredict_airbyte, tableId=_airbyte_tmp_doi_missplays}}
2022-06-07 15:58:08 destination > 2022-06-07 15:58:08 INFO i.a.i.d.b.BigQueryUtils(getLoadingMethod):306 - Selected loading method is set to: STANDARD
2022-06-07 15:58:09 destination > 2022-06-07 15:58:09 INFO i.a.i.d.b.BigQueryUtils(createPartitionedTable):131 - Partitioned table created successfully: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=ggpredict_airbyte, tableId=_airbyte_tmp_cey_user_challenges}}
2022-06-07 15:58:09 destination > 2022-06-07 15:58:09 INFO i.a.i.d.b.BigQueryUtils(getLoadingMethod):306 - Selected loading method is set to: STANDARD
2022-06-07 15:58:09 destination > 2022-06-07 15:58:09 INFO i.a.i.d.b.BigQueryUtils(createPartitionedTable):131 - Partitioned table created successfully: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=ggpredict_airbyte, tableId=_airbyte_tmp_bys_user_matches}}
2022-06-07 15:58:10 destination > 2022-06-07 15:58:10 INFO i.a.i.d.b.BigQueryUtils(getLoadingMethod):306 - Selected loading method is set to: STANDARD
2022-06-07 15:58:10 destination > 2022-06-07 15:58:10 INFO i.a.i.d.b.BigQueryUtils(createPartitionedTable):131 - Partitioned table created successfully: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=ggpredict_airbyte, tableId=_airbyte_tmp_ofx_user_server_live_stats}}
2022-06-07 15:58:10 destination > 2022-06-07 15:58:10 INFO i.a.i.d.b.BigQueryUtils(getLoadingMethod):306 - Selected loading method is set to: STANDARD
2022-06-07 15:58:11 destination > 2022-06-07 15:58:11 INFO i.a.i.d.b.BigQueryUtils(createPartitionedTable):131 - Partitioned table created successfully: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=ggpredict_airbyte, tableId=_airbyte_tmp_qzc_user_server_stats}}
2022-06-07 15:58:11 destination > 2022-06-07 15:58:11 INFO i.a.i.d.b.BigQueryUtils(getLoadingMethod):306 - Selected loading method is set to: STANDARD
2022-06-07 15:58:11 destination > 2022-06-07 15:58:11 INFO i.a.i.d.b.BigQueryUtils(createPartitionedTable):131 - Partitioned table created successfully: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=ggpredict_airbyte, tableId=_airbyte_tmp_xea_user_server_weapon_stats}}
2022-06-07 15:58:11 destination > 2022-06-07 15:58:11 INFO i.a.i.d.b.BigQueryUtils(getLoadingMethod):306 - Selected loading method is set to: STANDARD
2022-06-07 15:58:12 destination > 2022-06-07 15:58:12 INFO i.a.i.d.b.BigQueryUtils(createPartitionedTable):131 - Partitioned table created successfully: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=ggpredict_airbyte, tableId=_airbyte_tmp_ful_user_training_v2_level_segment_unit_start_sessions}}
2022-06-07 15:58:12 destination > 2022-06-07 15:58:12 INFO i.a.i.d.b.BigQueryUtils(getLoadingMethod):306 - Selected loading method is set to: STANDARD
2022-06-07 15:58:12 destination > 2022-06-07 15:58:12 INFO i.a.i.d.b.BigQueryUtils(createPartitionedTable):131 - Partitioned table created successfully: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=ggpredict_airbyte, tableId=_airbyte_tmp_hez_user_training_v2_level_segment_unit_stats}}
2022-06-07 15:58:13 destination > 2022-06-07 15:58:13 INFO i.a.i.d.b.BigQueryUtils(getLoadingMethod):306 - Selected loading method is set to: STANDARD
2022-06-07 15:58:13 destination > 2022-06-07 15:58:13 INFO i.a.i.d.b.BigQueryUtils(createPartitionedTable):131 - Partitioned table created successfully: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=ggpredict_airbyte, tableId=_airbyte_tmp_icm_user_training_v2_level_segment_units}}
2022-06-07 15:58:13 destination > 2022-06-07 15:58:13 INFO i.a.i.d.b.BigQueryUtils(getLoadingMethod):306 - Selected loading method is set to: STANDARD
2022-06-07 15:58:14 destination > 2022-06-07 15:58:14 INFO i.a.i.d.b.BigQueryUtils(createPartitionedTable):131 - Partitioned table created successfully: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=ggpredict_airbyte, tableId=_airbyte_tmp_qpq_user_training_v2_level_segments}}
2022-06-07 15:58:14 destination > 2022-06-07 15:58:14 INFO i.a.i.d.b.BigQueryUtils(getLoadingMethod):306 - Selected loading method is set to: STANDARD
2022-06-07 15:58:14 destination > 2022-06-07 15:58:14 INFO i.a.i.d.b.BigQueryUtils(createPartitionedTable):131 - Partitioned table created successfully: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=ggpredict_airbyte, tableId=_airbyte_tmp_eps_user_training_v2_levels}}
2022-06-07 15:58:15 destination > 2022-06-07 15:58:15 INFO i.a.i.d.b.BigQueryUtils(getLoadingMethod):306 - Selected loading method is set to: STANDARD
2022-06-07 15:58:15 destination > 2022-06-07 15:58:15 INFO i.a.i.d.b.BigQueryUtils(createPartitionedTable):131 - Partitioned table created successfully: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=ggpredict_airbyte, tableId=_airbyte_tmp_aim_user_training_v2_streaks}}
2022-06-07 15:58:15 destination > 2022-06-07 15:58:15 INFO i.a.i.d.b.BigQueryUtils(getLoadingMethod):306 - Selected loading method is set to: STANDARD
2022-06-07 15:58:16 destination > 2022-06-07 15:58:16 INFO i.a.i.d.b.BigQueryUtils(createPartitionedTable):131 - Partitioned table created successfully: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=ggpredict_airbyte, tableId=_airbyte_tmp_fne_user_training_v2_unit_tags}}
2022-06-07 15:58:16 destination > 2022-06-07 15:58:16 INFO i.a.i.d.b.BigQueryUtils(getLoadingMethod):306 - Selected loading method is set to: STANDARD
2022-06-07 15:58:16 destination > 2022-06-07 15:58:16 INFO i.a.i.d.b.BigQueryUtils(createPartitionedTable):131 - Partitioned table created successfully: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=ggpredict_airbyte, tableId=_airbyte_tmp_rtd_users}}
2022-06-07 16:03:01 source > 2022-06-07 16:03:01 INFO i.a.i.d.i.DebeziumRecordIterator(computeNext):78 - Closing cause next is returned as null
2022-06-07 16:03:01 source > 2022-06-07 16:03:01 INFO i.d.e.EmbeddedEngine(stop):996 - Stopping the embedded engine
2022-06-07 16:03:01 source > 2022-06-07 16:03:01 WARN i.a.i.b.IntegrationRunner(watchForOrphanThreads):239 - The main thread is exiting while children non-daemon threads from a connector are still active.
2022-06-07 16:03:01 source > Ideally, this situation should not happen...
2022-06-07 16:03:01 source > Please check with maintainers if the connector or library code should safely clean up its threads before quitting instead.
2022-06-07 16:03:01 source > The main thread is: main (RUNNABLE)
2022-06-07 16:03:01 source >  Thread stacktrace: java.base/java.lang.Thread.getStackTrace(Thread.java:1610)
2022-06-07 16:03:01 source >         at io.airbyte.integrations.base.IntegrationRunner.dumpThread(IntegrationRunner.java:274)
2022-06-07 16:03:01 source >         at io.airbyte.integrations.base.IntegrationRunner.watchForOrphanThreads(IntegrationRunner.java:243)
2022-06-07 16:03:01 source >         at io.airbyte.integrations.base.IntegrationRunner.produceMessages(IntegrationRunner.java:173)
2022-06-07 16:03:01 source >         at io.airbyte.integrations.base.IntegrationRunner.lambda$runInternal$0(IntegrationRunner.java:154)
2022-06-07 16:03:01 source >         at io.airbyte.integrations.base.sentry.AirbyteSentry.executeWithTracing(AirbyteSentry.java:54)
2022-06-07 16:03:01 source >         at io.airbyte.integrations.base.sentry.AirbyteSentry.executeWithTracing(AirbyteSentry.java:38)
2022-06-07 16:03:01 source >         at io.airbyte.integrations.base.IntegrationRunner.runInternal(IntegrationRunner.java:154)
2022-06-07 16:03:01 source >         at io.airbyte.integrations.base.IntegrationRunner.run(IntegrationRunner.java:105)
2022-06-07 16:03:01 source >         at io.airbyte.integrations.source.mysql.MySqlSource.main(MySqlSource.java:211)
2022-06-07 16:03:01 source > 2022-06-07 16:03:01 WARN i.a.i.b.IntegrationRunner(watchForOrphanThreads):253 - Active non-daemon thread: NioSocketAcceptor-2 (RUNNABLE)
2022-06-07 16:03:01 source >  Thread stacktrace: java.base@17.0.1/sun.nio.ch.EPoll.wait(Native Method)
2022-06-07 16:03:01 source >         at java.base@17.0.1/sun.nio.ch.EPollSelectorImpl.doSelect(EPollSelectorImpl.java:118)
2022-06-07 16:03:01 source >         at java.base@17.0.1/sun.nio.ch.SelectorImpl.lockAndDoSelect(SelectorImpl.java:129)
2022-06-07 16:03:01 source >         at java.base@17.0.1/sun.nio.ch.SelectorImpl.select(SelectorImpl.java:146)
2022-06-07 16:03:01 source >         at app//org.apache.mina.transport.socket.nio.NioSocketAcceptor.select(NioSocketAcceptor.java:299)
2022-06-07 16:03:01 source >         at app//org.apache.mina.core.polling.AbstractPollingIoAcceptor$Acceptor.run(AbstractPollingIoAcceptor.java:466)
2022-06-07 16:03:01 source >         at app//org.apache.mina.util.NamePreservingRunnable.run(NamePreservingRunnable.java:64)
2022-06-07 16:03:01 source >         at java.base@17.0.1/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1136)
2022-06-07 16:03:01 source >         at java.base@17.0.1/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:635)
2022-06-07 16:03:01 source >         at java.base@17.0.1/java.lang.Thread.run(Thread.java:833)
2022-06-07 16:03:01 source > 2022-06-07 16:03:01 INFO i.a.i.s.r.AbstractDbSource(lambda$read$2):124 - Closing database connection pool.
2022-06-07 16:03:01 source > 2022-06-07 16:03:01 INFO i.a.i.s.r.AbstractDbSource(lambda$read$2):126 - Closed database connection pool.
2022-06-07 16:03:01 source > Exception in thread "main" java.lang.RuntimeException: java.lang.RuntimeException: org.apache.kafka.connect.errors.ConnectException: Error reading MySQL variables: The server time zone value 'CEST' is unrecognized or represents more than one time zone. You must configure either the server or JDBC driver (via the 'serverTimezone' configuration property) to use a more specific time zone value if you want to utilize time zone support.
2022-06-07 16:03:01 source > 	at io.airbyte.integrations.debezium.internals.DebeziumRecordIterator.requestClose(DebeziumRecordIterator.java:132)
2022-06-07 16:03:01 source > 	at io.airbyte.integrations.debezium.internals.DebeziumRecordIterator.computeNext(DebeziumRecordIterator.java:79)
2022-06-07 16:03:01 source > 	at io.airbyte.integrations.debezium.internals.DebeziumRecordIterator.computeNext(DebeziumRecordIterator.java:32)
2022-06-07 16:03:01 source > 	at com.google.common.collect.AbstractIterator.tryToComputeNext(AbstractIterator.java:146)
2022-06-07 16:03:01 source > 	at com.google.common.collect.AbstractIterator.hasNext(AbstractIterator.java:141)
2022-06-07 16:03:01 source > 	at com.google.common.collect.TransformedIterator.hasNext(TransformedIterator.java:46)
2022-06-07 16:03:01 source > 	at io.airbyte.commons.util.DefaultAutoCloseableIterator.computeNext(DefaultAutoCloseableIterator.java:38)
2022-06-07 16:03:01 source > 	at com.google.common.collect.AbstractIterator.tryToComputeNext(AbstractIterator.java:146)
2022-06-07 16:03:01 source > 	at com.google.common.collect.AbstractIterator.hasNext(AbstractIterator.java:141)
2022-06-07 16:03:01 source > 	at io.airbyte.commons.util.CompositeIterator.computeNext(CompositeIterator.java:63)
2022-06-07 16:03:01 source > 	at com.google.common.collect.AbstractIterator.tryToComputeNext(AbstractIterator.java:146)
2022-06-07 16:03:01 source > 	at com.google.common.collect.AbstractIterator.hasNext(AbstractIterator.java:141)
2022-06-07 16:03:01 source > 	at io.airbyte.commons.util.CompositeIterator.computeNext(CompositeIterator.java:63)
2022-06-07 16:03:01 source > 	at com.google.common.collect.AbstractIterator.tryToComputeNext(AbstractIterator.java:146)
2022-06-07 16:03:01 source > 	at com.google.common.collect.AbstractIterator.hasNext(AbstractIterator.java:141)
2022-06-07 16:03:01 source > 	at io.airbyte.commons.util.DefaultAutoCloseableIterator.computeNext(DefaultAutoCloseableIterator.java:38)
2022-06-07 16:03:01 source > 	at com.google.common.collect.AbstractIterator.tryToComputeNext(AbstractIterator.java:146)
2022-06-07 16:03:01 source > 	at com.google.common.collect.AbstractIterator.hasNext(AbstractIterator.java:141)
2022-06-07 16:03:01 source > 	at io.airbyte.commons.util.DefaultAutoCloseableIterator.computeNext(DefaultAutoCloseableIterator.java:38)
2022-06-07 16:03:01 source > 	at com.google.common.collect.AbstractIterator.tryToComputeNext(AbstractIterator.java:146)
2022-06-07 16:03:01 source > 	at com.google.common.collect.AbstractIterator.hasNext(AbstractIterator.java:141)
2022-06-07 16:03:01 source > 	at java.base/java.util.Iterator.forEachRemaining(Iterator.java:132)
2022-06-07 16:03:01 source > 	at io.airbyte.integrations.base.IntegrationRunner.lambda$produceMessages$2(IntegrationRunner.java:174)
2022-06-07 16:03:01 source > 	at io.airbyte.integrations.base.IntegrationRunner.watchForOrphanThreads(IntegrationRunner.java:230)
2022-06-07 16:03:01 source > 	at io.airbyte.integrations.base.IntegrationRunner.produceMessages(IntegrationRunner.java:173)
2022-06-07 16:03:01 source > 	at io.airbyte.integrations.base.IntegrationRunner.lambda$runInternal$0(IntegrationRunner.java:154)
2022-06-07 16:03:01 source > 	at io.airbyte.integrations.base.sentry.AirbyteSentry.executeWithTracing(AirbyteSentry.java:54)
2022-06-07 16:03:01 source > 	at io.airbyte.integrations.base.sentry.AirbyteSentry.executeWithTracing(AirbyteSentry.java:38)
2022-06-07 16:03:01 source > 	at io.airbyte.integrations.base.IntegrationRunner.runInternal(IntegrationRunner.java:154)
2022-06-07 16:03:01 source > 	at io.airbyte.integrations.base.IntegrationRunner.run(IntegrationRunner.java:105)
2022-06-07 16:03:01 source > 	at io.airbyte.integrations.source.mysql.MySqlSource.main(MySqlSource.java:211)
2022-06-07 16:03:01 source > Caused by: java.lang.RuntimeException: org.apache.kafka.connect.errors.ConnectException: Error reading MySQL variables: The server time zone value 'CEST' is unrecognized or represents more than one time zone. You must configure either the server or JDBC driver (via the 'serverTimezone' configuration property) to use a more specific time zone value if you want to utilize time zone support.
2022-06-07 16:03:01 source > 	at io.airbyte.integrations.debezium.internals.DebeziumRecordPublisher.close(DebeziumRecordPublisher.java:117)
2022-06-07 16:03:01 source > 	at io.airbyte.commons.concurrency.VoidCallable.call(VoidCallable.java:15)
2022-06-07 16:03:01 source > 	at io.airbyte.integrations.debezium.internals.DebeziumRecordIterator.requestClose(DebeziumRecordIterator.java:129)
2022-06-07 16:03:01 source > 	... 30 more
2022-06-07 16:03:01 source > Caused by: org.apache.kafka.connect.errors.ConnectException: Error reading MySQL variables: The server time zone value 'CEST' is unrecognized or represents more than one time zone. You must configure either the server or JDBC driver (via the 'serverTimezone' configuration property) to use a more specific time zone value if you want to utilize time zone support.
2022-06-07 16:03:01 source > 	at io.debezium.connector.mysql.MySqlJdbcContext.querySystemVariables(MySqlJdbcContext.java:342)
2022-06-07 16:03:01 source > 	at io.debezium.connector.mysql.MySqlJdbcContext.readMySqlSystemVariables(MySqlJdbcContext.java:321)
2022-06-07 16:03:01 source > 	at io.debezium.connector.mysql.MySqlTaskContext.<init>(MySqlTaskContext.java:79)
2022-06-07 16:03:01 source > 	at io.debezium.connector.mysql.MySqlTaskContext.<init>(MySqlTaskContext.java:52)
2022-06-07 16:03:01 source > 	at io.debezium.connector.mysql.MySqlConnectorTask.createAndStartTaskContext(MySqlConnectorTask.java:346)
2022-06-07 16:03:01 source > 	at io.debezium.connector.mysql.MySqlConnectorTask.start(MySqlConnectorTask.java:142)
2022-06-07 16:03:01 source > 	at io.debezium.connector.common.BaseSourceTask.start(BaseSourceTask.java:106)
2022-06-07 16:03:01 source > 	at io.debezium.embedded.EmbeddedEngine.run(EmbeddedEngine.java:758)
2022-06-07 16:03:01 source > 	at io.debezium.embedded.ConvertingEngineBuilder$2.run(ConvertingEngineBuilder.java:171)
2022-06-07 16:03:01 source > 	at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1136)
2022-06-07 16:03:01 source > 	at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:635)
2022-06-07 16:03:01 source > 	at java.base/java.lang.Thread.run(Thread.java:833)
2022-06-07 16:03:01 source > Caused by: java.sql.SQLException: The server time zone value 'CEST' is unrecognized or represents more than one time zone. You must configure either the server or JDBC driver (via the 'serverTimezone' configuration property) to use a more specific time zone value if you want to utilize time zone support.
2022-06-07 16:03:01 source > 	at com.mysql.cj.jdbc.exceptions.SQLError.createSQLException(SQLError.java:129)
2022-06-07 16:03:01 source > 	at com.mysql.cj.jdbc.exceptions.SQLError.createSQLException(SQLError.java:97)
2022-06-07 16:03:01 source > 	at com.mysql.cj.jdbc.exceptions.SQLError.createSQLException(SQLError.java:89)
2022-06-07 16:03:01 source > 	at com.mysql.cj.jdbc.exceptions.SQLError.createSQLException(SQLError.java:63)
2022-06-07 16:03:01 source > 	at com.mysql.cj.jdbc.exceptions.SQLError.createSQLException(SQLError.java:73)
2022-06-07 16:03:01 source > 	at com.mysql.cj.jdbc.exceptions.SQLExceptionsMapping.translateException(SQLExceptionsMapping.java:76)
2022-06-07 16:03:01 source > 	at com.mysql.cj.jdbc.ConnectionImpl.createNewIO(ConnectionImpl.java:836)
2022-06-07 16:03:01 source > 	at com.mysql.cj.jdbc.ConnectionImpl.<init>(ConnectionImpl.java:456)
2022-06-07 16:03:01 source > 	at com.mysql.cj.jdbc.ConnectionImpl.getInstance(ConnectionImpl.java:246)
2022-06-07 16:03:01 source > 	at com.mysql.cj.jdbc.NonRegisteringDriver.connect(NonRegisteringDriver.java:198)
2022-06-07 16:03:01 source > 	at io.debezium.jdbc.JdbcConnection.lambda$patternBasedFactory$1(JdbcConnection.java:230)
2022-06-07 16:03:01 source > 	at io.debezium.jdbc.JdbcConnection.connection(JdbcConnection.java:871)
2022-06-07 16:03:01 source > 	at io.debezium.jdbc.JdbcConnection.connection(JdbcConnection.java:866)
2022-06-07 16:03:01 source > 	at io.debezium.jdbc.JdbcConnection.connect(JdbcConnection.java:412)
2022-06-07 16:03:01 source > 	at io.debezium.connector.mysql.MySqlJdbcContext.querySystemVariables(MySqlJdbcContext.java:328)
2022-06-07 16:03:01 source > 	... 11 more
2022-06-07 16:03:01 source > Caused by: com.mysql.cj.exceptions.InvalidConnectionAttributeException: The server time zone value 'CEST' is unrecognized or represents more than one time zone. You must configure either the server or JDBC driver (via the 'serverTimezone' configuration property) to use a more specific time zone value if you want to utilize time zone support.
2022-06-07 16:03:01 source > 	at java.base/jdk.internal.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
2022-06-07 16:03:01 source > 	at java.base/jdk.internal.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:77)
2022-06-07 16:03:01 source > 	at java.base/jdk.internal.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
2022-06-07 16:03:01 source > 	at java.base/java.lang.reflect.Constructor.newInstanceWithCaller(Constructor.java:499)
2022-06-07 16:03:01 source > 	at java.base/java.lang.reflect.Constructor.newInstance(Constructor.java:480)
2022-06-07 16:03:01 source > 	at com.mysql.cj.exceptions.ExceptionFactory.createException(ExceptionFactory.java:61)
2022-06-07 16:03:01 source > 	at com.mysql.cj.exceptions.ExceptionFactory.createException(ExceptionFactory.java:85)
2022-06-07 16:03:01 source > 	at com.mysql.cj.util.TimeUtil.getCanonicalTimezone(TimeUtil.java:134)
2022-06-07 16:03:01 source > 	at com.mysql.cj.protocol.a.NativeProtocol.configureTimezone(NativeProtocol.java:2186)
2022-06-07 16:03:01 source > 	at com.mysql.cj.protocol.a.NativeProtocol.initServerSession(NativeProtocol.java:2209)
2022-06-07 16:03:01 source > 	at com.mysql.cj.jdbc.ConnectionImpl.initializePropsFromServer(ConnectionImpl.java:1318)
2022-06-07 16:03:01 source > 	at com.mysql.cj.jdbc.ConnectionImpl.connectOneTryOnly(ConnectionImpl.java:967)
2022-06-07 16:03:01 source > 	at com.mysql.cj.jdbc.ConnectionImpl.createNewIO(ConnectionImpl.java:826)
2022-06-07 16:03:01 source > 	... 19 more
2022-06-07 16:03:03 INFO i.a.w.g.DefaultReplicationWorker(lambda$getReplicationRunnable$6):347 - Source has no more messages, closing connection.
2022-06-07 16:03:03 destination > 2022-06-07 16:03:03 INFO i.a.i.b.FailureTrackingAirbyteMessageConsumer(close):65 - Airbyte message consumer: succeeded.
2022-06-07 16:03:03 destination > 2022-06-07 16:03:03 INFO i.a.i.d.b.BigQueryRecordConsumer(close):58 - Started closing all connections
2022-06-07 16:03:03 destination > 2022-06-07 16:03:03 INFO i.a.i.d.b.u.AbstractBigQueryUploader(close):78 - Closing connector: AbstractBigQueryUploader{table=_airbyte_raw_coach_players, tmpTable=_airbyte_tmp_wjx_coach_players, syncMode=WRITE_APPEND, writer=class io.airbyte.integrations.destination.bigquery.writer.BigQueryTableWriter, recordFormatter=class io.airbyte.integrations.destination.bigquery.formatter.DefaultBigQueryRecordFormatter}
2022-06-07 16:03:03 destination > 2022-06-07 16:03:03 INFO i.a.i.d.b.u.AbstractBigQueryUploader(uploadData):95 - Uploading data from the tmp table _airbyte_tmp_wjx_coach_players to the source table _airbyte_raw_coach_players.
2022-06-07 16:03:03 destination > 2022-06-07 16:03:03 INFO i.a.i.d.b.u.AbstractBigQueryUploader(uploadDataToTableFromTmpTable):120 - Replication finished with no explicit errors. Copying data from tmp tables to permanent
2022-06-07 16:03:06 destination > 2022-06-07 16:03:06 INFO i.a.i.d.b.u.AbstractBigQueryUploader(copyTable):185 - successfully copied table: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=ggpredict_airbyte, tableId=_airbyte_tmp_wjx_coach_players}} to table: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=ggpredict_airbyte, tableId=_airbyte_raw_coach_players}}
2022-06-07 16:03:06 destination > 2022-06-07 16:03:06 INFO i.a.i.d.b.u.AbstractBigQueryUploader(uploadData):97 - Data is successfully loaded to the source table _airbyte_raw_coach_players!
2022-06-07 16:03:06 INFO i.a.v.j.JsonSchemaValidator(test):71 - JSON schema validation failed. 
errors: $: null found, object expected
2022-06-07 16:03:06 ERROR i.a.w.i.DefaultAirbyteStreamFactory(lambda$create$1):70 - Validation failed: null
2022-06-07 16:03:06 destination > 2022-06-07 16:03:06 INFO i.a.i.d.b.u.AbstractBigQueryUploader(uploadData):99 - Final state message is accepted.
2022-06-07 16:03:06 destination > 2022-06-07 16:03:06 INFO i.a.i.d.b.u.AbstractBigQueryUploader(dropTmpTable):111 - Removing tmp tables...
2022-06-07 16:03:06 destination > 2022-06-07 16:03:06 INFO i.a.i.d.b.u.AbstractBigQueryUploader(dropTmpTable):113 - Finishing destination process...completed
2022-06-07 16:03:06 destination > 2022-06-07 16:03:06 INFO i.a.i.d.b.u.AbstractBigQueryUploader(close):85 - Closed connector: AbstractBigQueryUploader{table=_airbyte_raw_coach_players, tmpTable=_airbyte_tmp_wjx_coach_players, syncMode=WRITE_APPEND, writer=class io.airbyte.integrations.destination.bigquery.writer.BigQueryTableWriter, recordFormatter=class io.airbyte.integrations.destination.bigquery.formatter.DefaultBigQueryRecordFormatter}
2022-06-07 16:03:06 destination > 2022-06-07 16:03:06 INFO i.a.i.d.b.u.AbstractBigQueryUploader(close):78 - Closing connector: AbstractBigQueryUploader{table=_airbyte_raw_coach_match_sub_stats_v2, tmpTable=_airbyte_tmp_fsx_coach_match_sub_stats_v2, syncMode=WRITE_APPEND, writer=class io.airbyte.integrations.destination.bigquery.writer.BigQueryTableWriter, recordFormatter=class io.airbyte.integrations.destination.bigquery.formatter.DefaultBigQueryRecordFormatter}
2022-06-07 16:03:06 destination > 2022-06-07 16:03:06 INFO i.a.i.d.b.u.AbstractBigQueryUploader(uploadData):95 - Uploading data from the tmp table _airbyte_tmp_fsx_coach_match_sub_stats_v2 to the source table _airbyte_raw_coach_match_sub_stats_v2.
2022-06-07 16:03:06 destination > 2022-06-07 16:03:06 INFO i.a.i.d.b.u.AbstractBigQueryUploader(uploadDataToTableFromTmpTable):120 - Replication finished with no explicit errors. Copying data from tmp tables to permanent
2022-06-07 16:03:08 destination > 2022-06-07 16:03:08 INFO i.a.i.d.b.u.AbstractBigQueryUploader(copyTable):185 - successfully copied table: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=ggpredict_airbyte, tableId=_airbyte_tmp_fsx_coach_match_sub_stats_v2}} to table: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=ggpredict_airbyte, tableId=_airbyte_raw_coach_match_sub_stats_v2}}
2022-06-07 16:03:08 destination > 2022-06-07 16:03:08 INFO i.a.i.d.b.u.AbstractBigQueryUploader(uploadData):97 - Data is successfully loaded to the source table _airbyte_raw_coach_match_sub_stats_v2!
2022-06-07 16:03:08 INFO i.a.v.j.JsonSchemaValidator(test):71 - JSON schema validation failed. 
errors: $: null found, object expected
2022-06-07 16:03:08 ERROR i.a.w.i.DefaultAirbyteStreamFactory(lambda$create$1):70 - Validation failed: null
2022-06-07 16:03:08 destination > 2022-06-07 16:03:08 INFO i.a.i.d.b.u.AbstractBigQueryUploader(uploadData):99 - Final state message is accepted.
2022-06-07 16:03:08 destination > 2022-06-07 16:03:08 INFO i.a.i.d.b.u.AbstractBigQueryUploader(dropTmpTable):111 - Removing tmp tables...
2022-06-07 16:03:08 destination > 2022-06-07 16:03:08 INFO i.a.i.d.b.u.AbstractBigQueryUploader(dropTmpTable):113 - Finishing destination process...completed
2022-06-07 16:03:08 destination > 2022-06-07 16:03:08 INFO i.a.i.d.b.u.AbstractBigQueryUploader(close):85 - Closed connector: AbstractBigQueryUploader{table=_airbyte_raw_coach_match_sub_stats_v2, tmpTable=_airbyte_tmp_fsx_coach_match_sub_stats_v2, syncMode=WRITE_APPEND, writer=class io.airbyte.integrations.destination.bigquery.writer.BigQueryTableWriter, recordFormatter=class io.airbyte.integrations.destination.bigquery.formatter.DefaultBigQueryRecordFormatter}
2022-06-07 16:03:08 destination > 2022-06-07 16:03:08 INFO i.a.i.d.b.u.AbstractBigQueryUploader(close):78 - Closing connector: AbstractBigQueryUploader{table=_airbyte_raw_challenge_weapons, tmpTable=_airbyte_tmp_pii_challenge_weapons, syncMode=WRITE_APPEND, writer=class io.airbyte.integrations.destination.bigquery.writer.BigQueryTableWriter, recordFormatter=class io.airbyte.integrations.destination.bigquery.formatter.DefaultBigQueryRecordFormatter}
2022-06-07 16:03:08 destination > 2022-06-07 16:03:08 INFO i.a.i.d.b.u.AbstractBigQueryUploader(uploadData):95 - Uploading data from the tmp table _airbyte_tmp_pii_challenge_weapons to the source table _airbyte_raw_challenge_weapons.
2022-06-07 16:03:08 destination > 2022-06-07 16:03:08 INFO i.a.i.d.b.u.AbstractBigQueryUploader(uploadDataToTableFromTmpTable):120 - Replication finished with no explicit errors. Copying data from tmp tables to permanent
2022-06-07 16:03:11 destination > 2022-06-07 16:03:11 INFO i.a.i.d.b.u.AbstractBigQueryUploader(copyTable):185 - successfully copied table: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=ggpredict_airbyte, tableId=_airbyte_tmp_pii_challenge_weapons}} to table: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=ggpredict_airbyte, tableId=_airbyte_raw_challenge_weapons}}
2022-06-07 16:03:11 destination > 2022-06-07 16:03:11 INFO i.a.i.d.b.u.AbstractBigQueryUploader(uploadData):97 - Data is successfully loaded to the source table _airbyte_raw_challenge_weapons!
2022-06-07 16:03:11 INFO i.a.v.j.JsonSchemaValidator(test):71 - JSON schema validation failed. 
errors: $: null found, object expected
2022-06-07 16:03:11 ERROR i.a.w.i.DefaultAirbyteStreamFactory(lambda$create$1):70 - Validation failed: null
2022-06-07 16:03:11 destination > 2022-06-07 16:03:11 INFO i.a.i.d.b.u.AbstractBigQueryUploader(uploadData):99 - Final state message is accepted.
2022-06-07 16:03:11 destination > 2022-06-07 16:03:11 INFO i.a.i.d.b.u.AbstractBigQueryUploader(dropTmpTable):111 - Removing tmp tables...
2022-06-07 16:03:11 destination > 2022-06-07 16:03:11 INFO i.a.i.d.b.u.AbstractBigQueryUploader(dropTmpTable):113 - Finishing destination process...completed
2022-06-07 16:03:11 destination > 2022-06-07 16:03:11 INFO i.a.i.d.b.u.AbstractBigQueryUploader(close):85 - Closed connector: AbstractBigQueryUploader{table=_airbyte_raw_challenge_weapons, tmpTable=_airbyte_tmp_pii_challenge_weapons, syncMode=WRITE_APPEND, writer=class io.airbyte.integrations.destination.bigquery.writer.BigQueryTableWriter, recordFormatter=class io.airbyte.integrations.destination.bigquery.formatter.DefaultBigQueryRecordFormatter}
2022-06-07 16:03:11 destination > 2022-06-07 16:03:11 INFO i.a.i.d.b.u.AbstractBigQueryUploader(close):78 - Closing connector: AbstractBigQueryUploader{table=_airbyte_raw_user_training_v2_streaks, tmpTable=_airbyte_tmp_aim_user_training_v2_streaks, syncMode=WRITE_APPEND, writer=class io.airbyte.integrations.destination.bigquery.writer.BigQueryTableWriter, recordFormatter=class io.airbyte.integrations.destination.bigquery.formatter.DefaultBigQueryRecordFormatter}
2022-06-07 16:03:11 destination > 2022-06-07 16:03:11 INFO i.a.i.d.b.u.AbstractBigQueryUploader(uploadData):95 - Uploading data from the tmp table _airbyte_tmp_aim_user_training_v2_streaks to the source table _airbyte_raw_user_training_v2_streaks.
2022-06-07 16:03:11 destination > 2022-06-07 16:03:11 INFO i.a.i.d.b.u.AbstractBigQueryUploader(uploadDataToTableFromTmpTable):120 - Replication finished with no explicit errors. Copying data from tmp tables to permanent
2022-06-07 16:03:15 destination > 2022-06-07 16:03:15 INFO i.a.i.d.b.u.AbstractBigQueryUploader(copyTable):185 - successfully copied table: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=ggpredict_airbyte, tableId=_airbyte_tmp_aim_user_training_v2_streaks}} to table: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=ggpredict_airbyte, tableId=_airbyte_raw_user_training_v2_streaks}}
2022-06-07 16:03:15 destination > 2022-06-07 16:03:15 INFO i.a.i.d.b.u.AbstractBigQueryUploader(uploadData):97 - Data is successfully loaded to the source table _airbyte_raw_user_training_v2_streaks!
2022-06-07 16:03:15 INFO i.a.v.j.JsonSchemaValidator(test):71 - JSON schema validation failed. 
errors: $: null found, object expected
2022-06-07 16:03:15 ERROR i.a.w.i.DefaultAirbyteStreamFactory(lambda$create$1):70 - Validation failed: null
2022-06-07 16:03:15 destination > 2022-06-07 16:03:15 INFO i.a.i.d.b.u.AbstractBigQueryUploader(uploadData):99 - Final state message is accepted.
2022-06-07 16:03:15 destination > 2022-06-07 16:03:15 INFO i.a.i.d.b.u.AbstractBigQueryUploader(dropTmpTable):111 - Removing tmp tables...
2022-06-07 16:03:15 destination > 2022-06-07 16:03:15 INFO i.a.i.d.b.u.AbstractBigQueryUploader(dropTmpTable):113 - Finishing destination process...completed
2022-06-07 16:03:15 destination > 2022-06-07 16:03:15 INFO i.a.i.d.b.u.AbstractBigQueryUploader(close):85 - Closed connector: AbstractBigQueryUploader{table=_airbyte_raw_user_training_v2_streaks, tmpTable=_airbyte_tmp_aim_user_training_v2_streaks, syncMode=WRITE_APPEND, writer=class io.airbyte.integrations.destination.bigquery.writer.BigQueryTableWriter, recordFormatter=class io.airbyte.integrations.destination.bigquery.formatter.DefaultBigQueryRecordFormatter}
2022-06-07 16:03:15 destination > 2022-06-07 16:03:15 INFO i.a.i.d.b.u.AbstractBigQueryUploader(close):78 - Closing connector: AbstractBigQueryUploader{table=_airbyte_raw_challenge_maps, tmpTable=_airbyte_tmp_kos_challenge_maps, syncMode=WRITE_APPEND, writer=class io.airbyte.integrations.destination.bigquery.writer.BigQueryTableWriter, recordFormatter=class io.airbyte.integrations.destination.bigquery.formatter.DefaultBigQueryRecordFormatter}
2022-06-07 16:03:15 destination > 2022-06-07 16:03:15 INFO i.a.i.d.b.u.AbstractBigQueryUploader(uploadData):95 - Uploading data from the tmp table _airbyte_tmp_kos_challenge_maps to the source table _airbyte_raw_challenge_maps.
2022-06-07 16:03:15 destination > 2022-06-07 16:03:15 INFO i.a.i.d.b.u.AbstractBigQueryUploader(uploadDataToTableFromTmpTable):120 - Replication finished with no explicit errors. Copying data from tmp tables to permanent
2022-06-07 16:03:17 destination > 2022-06-07 16:03:17 INFO i.a.i.d.b.u.AbstractBigQueryUploader(copyTable):185 - successfully copied table: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=ggpredict_airbyte, tableId=_airbyte_tmp_kos_challenge_maps}} to table: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=ggpredict_airbyte, tableId=_airbyte_raw_challenge_maps}}
2022-06-07 16:03:17 destination > 2022-06-07 16:03:17 INFO i.a.i.d.b.u.AbstractBigQueryUploader(uploadData):97 - Data is successfully loaded to the source table _airbyte_raw_challenge_maps!
2022-06-07 16:03:17 INFO i.a.v.j.JsonSchemaValidator(test):71 - JSON schema validation failed. 
errors: $: null found, object expected
2022-06-07 16:03:17 ERROR i.a.w.i.DefaultAirbyteStreamFactory(lambda$create$1):70 - Validation failed: null
2022-06-07 16:03:17 destination > 2022-06-07 16:03:17 INFO i.a.i.d.b.u.AbstractBigQueryUploader(uploadData):99 - Final state message is accepted.
2022-06-07 16:03:17 destination > 2022-06-07 16:03:17 INFO i.a.i.d.b.u.AbstractBigQueryUploader(dropTmpTable):111 - Removing tmp tables...
2022-06-07 16:03:17 destination > 2022-06-07 16:03:17 INFO i.a.i.d.b.u.AbstractBigQueryUploader(dropTmpTable):113 - Finishing destination process...completed
2022-06-07 16:03:17 destination > 2022-06-07 16:03:17 INFO i.a.i.d.b.u.AbstractBigQueryUploader(close):85 - Closed connector: AbstractBigQueryUploader{table=_airbyte_raw_challenge_maps, tmpTable=_airbyte_tmp_kos_challenge_maps, syncMode=WRITE_APPEND, writer=class io.airbyte.integrations.destination.bigquery.writer.BigQueryTableWriter, recordFormatter=class io.airbyte.integrations.destination.bigquery.formatter.DefaultBigQueryRecordFormatter}
2022-06-07 16:03:17 destination > 2022-06-07 16:03:17 INFO i.a.i.d.b.u.AbstractBigQueryUploader(close):78 - Closing connector: AbstractBigQueryUploader{table=_airbyte_raw_users, tmpTable=_airbyte_tmp_rtd_users, syncMode=WRITE_APPEND, writer=class io.airbyte.integrations.destination.bigquery.writer.BigQueryTableWriter, recordFormatter=class io.airbyte.integrations.destination.bigquery.formatter.DefaultBigQueryRecordFormatter}
2022-06-07 16:03:17 destination > 2022-06-07 16:03:17 INFO i.a.i.d.b.u.AbstractBigQueryUploader(uploadData):95 - Uploading data from the tmp table _airbyte_tmp_rtd_users to the source table _airbyte_raw_users.
2022-06-07 16:03:17 destination > 2022-06-07 16:03:17 INFO i.a.i.d.b.u.AbstractBigQueryUploader(uploadDataToTableFromTmpTable):120 - Replication finished with no explicit errors. Copying data from tmp tables to permanent
2022-06-07 16:03:21 destination > 2022-06-07 16:03:21 INFO i.a.i.d.b.u.AbstractBigQueryUploader(copyTable):185 - successfully copied table: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=ggpredict_airbyte, tableId=_airbyte_tmp_rtd_users}} to table: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=ggpredict_airbyte, tableId=_airbyte_raw_users}}
2022-06-07 16:03:21 destination > 2022-06-07 16:03:21 INFO i.a.i.d.b.u.AbstractBigQueryUploader(uploadData):97 - Data is successfully loaded to the source table _airbyte_raw_users!
2022-06-07 16:03:21 INFO i.a.v.j.JsonSchemaValidator(test):71 - JSON schema validation failed. 
errors: $: null found, object expected
2022-06-07 16:03:21 ERROR i.a.w.i.DefaultAirbyteStreamFactory(lambda$create$1):70 - Validation failed: null
2022-06-07 16:03:21 destination > 2022-06-07 16:03:21 INFO i.a.i.d.b.u.AbstractBigQueryUploader(uploadData):99 - Final state message is accepted.
2022-06-07 16:03:21 destination > 2022-06-07 16:03:21 INFO i.a.i.d.b.u.AbstractBigQueryUploader(dropTmpTable):111 - Removing tmp tables...
2022-06-07 16:03:21 destination > 2022-06-07 16:03:21 INFO i.a.i.d.b.u.AbstractBigQueryUploader(dropTmpTable):113 - Finishing destination process...completed
2022-06-07 16:03:21 destination > 2022-06-07 16:03:21 INFO i.a.i.d.b.u.AbstractBigQueryUploader(close):85 - Closed connector: AbstractBigQueryUploader{table=_airbyte_raw_users, tmpTable=_airbyte_tmp_rtd_users, syncMode=WRITE_APPEND, writer=class io.airbyte.integrations.destination.bigquery.writer.BigQueryTableWriter, recordFormatter=class io.airbyte.integrations.destination.bigquery.formatter.DefaultBigQueryRecordFormatter}
2022-06-07 16:03:21 destination > 2022-06-07 16:03:21 INFO i.a.i.d.b.u.AbstractBigQueryUploader(close):78 - Closing connector: AbstractBigQueryUploader{table=_airbyte_raw_coach_match_sub_stats, tmpTable=_airbyte_tmp_aom_coach_match_sub_stats, syncMode=WRITE_APPEND, writer=class io.airbyte.integrations.destination.bigquery.writer.BigQueryTableWriter, recordFormatter=class io.airbyte.integrations.destination.bigquery.formatter.DefaultBigQueryRecordFormatter}
2022-06-07 16:03:21 destination > 2022-06-07 16:03:21 INFO i.a.i.d.b.u.AbstractBigQueryUploader(uploadData):95 - Uploading data from the tmp table _airbyte_tmp_aom_coach_match_sub_stats to the source table _airbyte_raw_coach_match_sub_stats.
2022-06-07 16:03:21 destination > 2022-06-07 16:03:21 INFO i.a.i.d.b.u.AbstractBigQueryUploader(uploadDataToTableFromTmpTable):120 - Replication finished with no explicit errors. Copying data from tmp tables to permanent
2022-06-07 16:03:22 destination > 2022-06-07 16:03:22 INFO i.a.i.d.b.u.AbstractBigQueryUploader(copyTable):185 - successfully copied table: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=ggpredict_airbyte, tableId=_airbyte_tmp_aom_coach_match_sub_stats}} to table: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=ggpredict_airbyte, tableId=_airbyte_raw_coach_match_sub_stats}}
2022-06-07 16:03:22 destination > 2022-06-07 16:03:22 INFO i.a.i.d.b.u.AbstractBigQueryUploader(uploadData):97 - Data is successfully loaded to the source table _airbyte_raw_coach_match_sub_stats!
2022-06-07 16:03:22 INFO i.a.v.j.JsonSchemaValidator(test):71 - JSON schema validation failed. 
errors: $: null found, object expected
2022-06-07 16:03:22 ERROR i.a.w.i.DefaultAirbyteStreamFactory(lambda$create$1):70 - Validation failed: null
2022-06-07 16:03:22 destination > 2022-06-07 16:03:22 INFO i.a.i.d.b.u.AbstractBigQueryUploader(uploadData):99 - Final state message is accepted.
2022-06-07 16:03:22 destination > 2022-06-07 16:03:22 INFO i.a.i.d.b.u.AbstractBigQueryUploader(dropTmpTable):111 - Removing tmp tables...
2022-06-07 16:03:22 destination > 2022-06-07 16:03:22 INFO i.a.i.d.b.u.AbstractBigQueryUploader(dropTmpTable):113 - Finishing destination process...completed
2022-06-07 16:03:22 destination > 2022-06-07 16:03:22 INFO i.a.i.d.b.u.AbstractBigQueryUploader(close):85 - Closed connector: AbstractBigQueryUploader{table=_airbyte_raw_coach_match_sub_stats, tmpTable=_airbyte_tmp_aom_coach_match_sub_stats, syncMode=WRITE_APPEND, writer=class io.airbyte.integrations.destination.bigquery.writer.BigQueryTableWriter, recordFormatter=class io.airbyte.integrations.destination.bigquery.formatter.DefaultBigQueryRecordFormatter}
2022-06-07 16:03:22 destination > 2022-06-07 16:03:22 INFO i.a.i.d.b.u.AbstractBigQueryUploader(close):78 - Closing connector: AbstractBigQueryUploader{table=_airbyte_raw_user_training_v2_level_segments, tmpTable=_airbyte_tmp_qpq_user_training_v2_level_segments, syncMode=WRITE_APPEND, writer=class io.airbyte.integrations.destination.bigquery.writer.BigQueryTableWriter, recordFormatter=class io.airbyte.integrations.destination.bigquery.formatter.DefaultBigQueryRecordFormatter}
2022-06-07 16:03:22 destination > 2022-06-07 16:03:22 INFO i.a.i.d.b.u.AbstractBigQueryUploader(uploadData):95 - Uploading data from the tmp table _airbyte_tmp_qpq_user_training_v2_level_segments to the source table _airbyte_raw_user_training_v2_level_segments.
2022-06-07 16:03:22 destination > 2022-06-07 16:03:22 INFO i.a.i.d.b.u.AbstractBigQueryUploader(uploadDataToTableFromTmpTable):120 - Replication finished with no explicit errors. Copying data from tmp tables to permanent
2022-06-07 16:03:24 destination > 2022-06-07 16:03:24 INFO i.a.i.d.b.u.AbstractBigQueryUploader(copyTable):185 - successfully copied table: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=ggpredict_airbyte, tableId=_airbyte_tmp_qpq_user_training_v2_level_segments}} to table: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=ggpredict_airbyte, tableId=_airbyte_raw_user_training_v2_level_segments}}
2022-06-07 16:03:24 destination > 2022-06-07 16:03:24 INFO i.a.i.d.b.u.AbstractBigQueryUploader(uploadData):97 - Data is successfully loaded to the source table _airbyte_raw_user_training_v2_level_segments!
2022-06-07 16:03:24 INFO i.a.v.j.JsonSchemaValidator(test):71 - JSON schema validation failed. 
errors: $: null found, object expected
2022-06-07 16:03:24 ERROR i.a.w.i.DefaultAirbyteStreamFactory(lambda$create$1):70 - Validation failed: null
2022-06-07 16:03:24 destination > 2022-06-07 16:03:24 INFO i.a.i.d.b.u.AbstractBigQueryUploader(uploadData):99 - Final state message is accepted.
2022-06-07 16:03:24 destination > 2022-06-07 16:03:24 INFO i.a.i.d.b.u.AbstractBigQueryUploader(dropTmpTable):111 - Removing tmp tables...
2022-06-07 16:03:24 destination > 2022-06-07 16:03:24 INFO i.a.i.d.b.u.AbstractBigQueryUploader(dropTmpTable):113 - Finishing destination process...completed
2022-06-07 16:03:24 destination > 2022-06-07 16:03:24 INFO i.a.i.d.b.u.AbstractBigQueryUploader(close):85 - Closed connector: AbstractBigQueryUploader{table=_airbyte_raw_user_training_v2_level_segments, tmpTable=_airbyte_tmp_qpq_user_training_v2_level_segments, syncMode=WRITE_APPEND, writer=class io.airbyte.integrations.destination.bigquery.writer.BigQueryTableWriter, recordFormatter=class io.airbyte.integrations.destination.bigquery.formatter.DefaultBigQueryRecordFormatter}
2022-06-07 16:03:24 destination > 2022-06-07 16:03:24 INFO i.a.i.d.b.u.AbstractBigQueryUploader(close):78 - Closing connector: AbstractBigQueryUploader{table=_airbyte_raw_coach_match_missplays_in_rounds, tmpTable=_airbyte_tmp_zkg_coach_match_missplays_in_rounds, syncMode=WRITE_APPEND, writer=class io.airbyte.integrations.destination.bigquery.writer.BigQueryTableWriter, recordFormatter=class io.airbyte.integrations.destination.bigquery.formatter.DefaultBigQueryRecordFormatter}
2022-06-07 16:03:24 destination > 2022-06-07 16:03:24 INFO i.a.i.d.b.u.AbstractBigQueryUploader(uploadData):95 - Uploading data from the tmp table _airbyte_tmp_zkg_coach_match_missplays_in_rounds to the source table _airbyte_raw_coach_match_missplays_in_rounds.
2022-06-07 16:03:24 destination > 2022-06-07 16:03:24 INFO i.a.i.d.b.u.AbstractBigQueryUploader(uploadDataToTableFromTmpTable):120 - Replication finished with no explicit errors. Copying data from tmp tables to permanent
2022-06-07 16:03:28 destination > 2022-06-07 16:03:28 INFO i.a.i.d.b.u.AbstractBigQueryUploader(copyTable):185 - successfully copied table: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=ggpredict_airbyte, tableId=_airbyte_tmp_zkg_coach_match_missplays_in_rounds}} to table: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=ggpredict_airbyte, tableId=_airbyte_raw_coach_match_missplays_in_rounds}}
2022-06-07 16:03:28 destination > 2022-06-07 16:03:28 INFO i.a.i.d.b.u.AbstractBigQueryUploader(uploadData):97 - Data is successfully loaded to the source table _airbyte_raw_coach_match_missplays_in_rounds!
2022-06-07 16:03:28 INFO i.a.v.j.JsonSchemaValidator(test):71 - JSON schema validation failed. 
errors: $: null found, object expected
2022-06-07 16:03:28 ERROR i.a.w.i.DefaultAirbyteStreamFactory(lambda$create$1):70 - Validation failed: null
2022-06-07 16:03:28 destination > 2022-06-07 16:03:28 INFO i.a.i.d.b.u.AbstractBigQueryUploader(uploadData):99 - Final state message is accepted.
2022-06-07 16:03:28 destination > 2022-06-07 16:03:28 INFO i.a.i.d.b.u.AbstractBigQueryUploader(dropTmpTable):111 - Removing tmp tables...
2022-06-07 16:03:28 destination > 2022-06-07 16:03:28 INFO i.a.i.d.b.u.AbstractBigQueryUploader(dropTmpTable):113 - Finishing destination process...completed
2022-06-07 16:03:28 destination > 2022-06-07 16:03:28 INFO i.a.i.d.b.u.AbstractBigQueryUploader(close):85 - Closed connector: AbstractBigQueryUploader{table=_airbyte_raw_coach_match_missplays_in_rounds, tmpTable=_airbyte_tmp_zkg_coach_match_missplays_in_rounds, syncMode=WRITE_APPEND, writer=class io.airbyte.integrations.destination.bigquery.writer.BigQueryTableWriter, recordFormatter=class io.airbyte.integrations.destination.bigquery.formatter.DefaultBigQueryRecordFormatter}
2022-06-07 16:03:28 destination > 2022-06-07 16:03:28 INFO i.a.i.d.b.u.AbstractBigQueryUploader(close):78 - Closing connector: AbstractBigQueryUploader{table=_airbyte_raw_user_matches, tmpTable=_airbyte_tmp_bys_user_matches, syncMode=WRITE_APPEND, writer=class io.airbyte.integrations.destination.bigquery.writer.BigQueryTableWriter, recordFormatter=class io.airbyte.integrations.destination.bigquery.formatter.DefaultBigQueryRecordFormatter}
2022-06-07 16:03:28 destination > 2022-06-07 16:03:28 INFO i.a.i.d.b.u.AbstractBigQueryUploader(uploadData):95 - Uploading data from the tmp table _airbyte_tmp_bys_user_matches to the source table _airbyte_raw_user_matches.
2022-06-07 16:03:28 destination > 2022-06-07 16:03:28 INFO i.a.i.d.b.u.AbstractBigQueryUploader(uploadDataToTableFromTmpTable):120 - Replication finished with no explicit errors. Copying data from tmp tables to permanent
2022-06-07 16:03:30 destination > 2022-06-07 16:03:30 INFO i.a.i.d.b.u.AbstractBigQueryUploader(copyTable):185 - successfully copied table: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=ggpredict_airbyte, tableId=_airbyte_tmp_bys_user_matches}} to table: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=ggpredict_airbyte, tableId=_airbyte_raw_user_matches}}
2022-06-07 16:03:30 destination > 2022-06-07 16:03:30 INFO i.a.i.d.b.u.AbstractBigQueryUploader(uploadData):97 - Data is successfully loaded to the source table _airbyte_raw_user_matches!
2022-06-07 16:03:30 INFO i.a.v.j.JsonSchemaValidator(test):71 - JSON schema validation failed. 
errors: $: null found, object expected
2022-06-07 16:03:30 ERROR i.a.w.i.DefaultAirbyteStreamFactory(lambda$create$1):70 - Validation failed: null
2022-06-07 16:03:30 destination > 2022-06-07 16:03:30 INFO i.a.i.d.b.u.AbstractBigQueryUploader(uploadData):99 - Final state message is accepted.
2022-06-07 16:03:30 destination > 2022-06-07 16:03:30 INFO i.a.i.d.b.u.AbstractBigQueryUploader(dropTmpTable):111 - Removing tmp tables...
2022-06-07 16:03:30 destination > 2022-06-07 16:03:30 INFO i.a.i.d.b.u.AbstractBigQueryUploader(dropTmpTable):113 - Finishing destination process...completed
2022-06-07 16:03:30 destination > 2022-06-07 16:03:30 INFO i.a.i.d.b.u.AbstractBigQueryUploader(close):85 - Closed connector: AbstractBigQueryUploader{table=_airbyte_raw_user_matches, tmpTable=_airbyte_tmp_bys_user_matches, syncMode=WRITE_APPEND, writer=class io.airbyte.integrations.destination.bigquery.writer.BigQueryTableWriter, recordFormatter=class io.airbyte.integrations.destination.bigquery.formatter.DefaultBigQueryRecordFormatter}
2022-06-07 16:03:30 destination > 2022-06-07 16:03:30 INFO i.a.i.d.b.u.AbstractBigQueryUploader(close):78 - Closing connector: AbstractBigQueryUploader{table=_airbyte_raw_user_training_v2_unit_tags, tmpTable=_airbyte_tmp_fne_user_training_v2_unit_tags, syncMode=WRITE_APPEND, writer=class io.airbyte.integrations.destination.bigquery.writer.BigQueryTableWriter, recordFormatter=class io.airbyte.integrations.destination.bigquery.formatter.DefaultBigQueryRecordFormatter}
2022-06-07 16:03:30 destination > 2022-06-07 16:03:30 INFO i.a.i.d.b.u.AbstractBigQueryUploader(uploadData):95 - Uploading data from the tmp table _airbyte_tmp_fne_user_training_v2_unit_tags to the source table _airbyte_raw_user_training_v2_unit_tags.
2022-06-07 16:03:30 destination > 2022-06-07 16:03:30 INFO i.a.i.d.b.u.AbstractBigQueryUploader(uploadDataToTableFromTmpTable):120 - Replication finished with no explicit errors. Copying data from tmp tables to permanent
2022-06-07 16:03:34 destination > 2022-06-07 16:03:34 INFO i.a.i.d.b.u.AbstractBigQueryUploader(copyTable):185 - successfully copied table: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=ggpredict_airbyte, tableId=_airbyte_tmp_fne_user_training_v2_unit_tags}} to table: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=ggpredict_airbyte, tableId=_airbyte_raw_user_training_v2_unit_tags}}
2022-06-07 16:03:34 destination > 2022-06-07 16:03:34 INFO i.a.i.d.b.u.AbstractBigQueryUploader(uploadData):97 - Data is successfully loaded to the source table _airbyte_raw_user_training_v2_unit_tags!
2022-06-07 16:03:34 INFO i.a.v.j.JsonSchemaValidator(test):71 - JSON schema validation failed. 
errors: $: null found, object expected
2022-06-07 16:03:34 ERROR i.a.w.i.DefaultAirbyteStreamFactory(lambda$create$1):70 - Validation failed: null
2022-06-07 16:03:34 destination > 2022-06-07 16:03:34 INFO i.a.i.d.b.u.AbstractBigQueryUploader(uploadData):99 - Final state message is accepted.
2022-06-07 16:03:34 destination > 2022-06-07 16:03:34 INFO i.a.i.d.b.u.AbstractBigQueryUploader(dropTmpTable):111 - Removing tmp tables...
2022-06-07 16:03:34 destination > 2022-06-07 16:03:34 INFO i.a.i.d.b.u.AbstractBigQueryUploader(dropTmpTable):113 - Finishing destination process...completed
2022-06-07 16:03:34 destination > 2022-06-07 16:03:34 INFO i.a.i.d.b.u.AbstractBigQueryUploader(close):85 - Closed connector: AbstractBigQueryUploader{table=_airbyte_raw_user_training_v2_unit_tags, tmpTable=_airbyte_tmp_fne_user_training_v2_unit_tags, syncMode=WRITE_APPEND, writer=class io.airbyte.integrations.destination.bigquery.writer.BigQueryTableWriter, recordFormatter=class io.airbyte.integrations.destination.bigquery.formatter.DefaultBigQueryRecordFormatter}
2022-06-07 16:03:34 destination > 2022-06-07 16:03:34 INFO i.a.i.d.b.u.AbstractBigQueryUploader(close):78 - Closing connector: AbstractBigQueryUploader{table=_airbyte_raw_user_training_v2_level_segment_unit_start_sessions, tmpTable=_airbyte_tmp_ful_user_training_v2_level_segment_unit_start_sessions, syncMode=WRITE_APPEND, writer=class io.airbyte.integrations.destination.bigquery.writer.BigQueryTableWriter, recordFormatter=class io.airbyte.integrations.destination.bigquery.formatter.DefaultBigQueryRecordFormatter}
2022-06-07 16:03:34 destination > 2022-06-07 16:03:34 INFO i.a.i.d.b.u.AbstractBigQueryUploader(uploadData):95 - Uploading data from the tmp table _airbyte_tmp_ful_user_training_v2_level_segment_unit_start_sessions to the source table _airbyte_raw_user_training_v2_level_segment_unit_start_sessions.
2022-06-07 16:03:34 destination > 2022-06-07 16:03:34 INFO i.a.i.d.b.u.AbstractBigQueryUploader(uploadDataToTableFromTmpTable):120 - Replication finished with no explicit errors. Copying data from tmp tables to permanent
2022-06-07 16:03:37 destination > 2022-06-07 16:03:37 INFO i.a.i.d.b.u.AbstractBigQueryUploader(copyTable):185 - successfully copied table: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=ggpredict_airbyte, tableId=_airbyte_tmp_ful_user_training_v2_level_segment_unit_start_sessions}} to table: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=ggpredict_airbyte, tableId=_airbyte_raw_user_training_v2_level_segment_unit_start_sessions}}
2022-06-07 16:03:37 destination > 2022-06-07 16:03:37 INFO i.a.i.d.b.u.AbstractBigQueryUploader(uploadData):97 - Data is successfully loaded to the source table _airbyte_raw_user_training_v2_level_segment_unit_start_sessions!
2022-06-07 16:03:37 INFO i.a.v.j.JsonSchemaValidator(test):71 - JSON schema validation failed. 
errors: $: null found, object expected
2022-06-07 16:03:37 ERROR i.a.w.i.DefaultAirbyteStreamFactory(lambda$create$1):70 - Validation failed: null
2022-06-07 16:03:37 destination > 2022-06-07 16:03:37 INFO i.a.i.d.b.u.AbstractBigQueryUploader(uploadData):99 - Final state message is accepted.
2022-06-07 16:03:37 destination > 2022-06-07 16:03:37 INFO i.a.i.d.b.u.AbstractBigQueryUploader(dropTmpTable):111 - Removing tmp tables...
2022-06-07 16:03:37 destination > 2022-06-07 16:03:37 INFO i.a.i.d.b.u.AbstractBigQueryUploader(dropTmpTable):113 - Finishing destination process...completed
2022-06-07 16:03:37 destination > 2022-06-07 16:03:37 INFO i.a.i.d.b.u.AbstractBigQueryUploader(close):85 - Closed connector: AbstractBigQueryUploader{table=_airbyte_raw_user_training_v2_level_segment_unit_start_sessions, tmpTable=_airbyte_tmp_ful_user_training_v2_level_segment_unit_start_sessions, syncMode=WRITE_APPEND, writer=class io.airbyte.integrations.destination.bigquery.writer.BigQueryTableWriter, recordFormatter=class io.airbyte.integrations.destination.bigquery.formatter.DefaultBigQueryRecordFormatter}
2022-06-07 16:03:37 destination > 2022-06-07 16:03:37 INFO i.a.i.d.b.u.AbstractBigQueryUploader(close):78 - Closing connector: AbstractBigQueryUploader{table=_airbyte_raw_user_training_v2_levels, tmpTable=_airbyte_tmp_eps_user_training_v2_levels, syncMode=WRITE_APPEND, writer=class io.airbyte.integrations.destination.bigquery.writer.BigQueryTableWriter, recordFormatter=class io.airbyte.integrations.destination.bigquery.formatter.DefaultBigQueryRecordFormatter}
2022-06-07 16:03:37 destination > 2022-06-07 16:03:37 INFO i.a.i.d.b.u.AbstractBigQueryUploader(uploadData):95 - Uploading data from the tmp table _airbyte_tmp_eps_user_training_v2_levels to the source table _airbyte_raw_user_training_v2_levels.
2022-06-07 16:03:37 destination > 2022-06-07 16:03:37 INFO i.a.i.d.b.u.AbstractBigQueryUploader(uploadDataToTableFromTmpTable):120 - Replication finished with no explicit errors. Copying data from tmp tables to permanent
2022-06-07 16:03:38 destination > 2022-06-07 16:03:38 INFO i.a.i.d.b.u.AbstractBigQueryUploader(copyTable):185 - successfully copied table: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=ggpredict_airbyte, tableId=_airbyte_tmp_eps_user_training_v2_levels}} to table: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=ggpredict_airbyte, tableId=_airbyte_raw_user_training_v2_levels}}
2022-06-07 16:03:38 destination > 2022-06-07 16:03:38 INFO i.a.i.d.b.u.AbstractBigQueryUploader(uploadData):97 - Data is successfully loaded to the source table _airbyte_raw_user_training_v2_levels!
2022-06-07 16:03:38 INFO i.a.v.j.JsonSchemaValidator(test):71 - JSON schema validation failed. 
errors: $: null found, object expected
2022-06-07 16:03:38 ERROR i.a.w.i.DefaultAirbyteStreamFactory(lambda$create$1):70 - Validation failed: null
2022-06-07 16:03:38 destination > 2022-06-07 16:03:38 INFO i.a.i.d.b.u.AbstractBigQueryUploader(uploadData):99 - Final state message is accepted.
2022-06-07 16:03:38 destination > 2022-06-07 16:03:38 INFO i.a.i.d.b.u.AbstractBigQueryUploader(dropTmpTable):111 - Removing tmp tables...
2022-06-07 16:03:39 destination > 2022-06-07 16:03:39 INFO i.a.i.d.b.u.AbstractBigQueryUploader(dropTmpTable):113 - Finishing destination process...completed
2022-06-07 16:03:39 destination > 2022-06-07 16:03:39 INFO i.a.i.d.b.u.AbstractBigQueryUploader(close):85 - Closed connector: AbstractBigQueryUploader{table=_airbyte_raw_user_training_v2_levels, tmpTable=_airbyte_tmp_eps_user_training_v2_levels, syncMode=WRITE_APPEND, writer=class io.airbyte.integrations.destination.bigquery.writer.BigQueryTableWriter, recordFormatter=class io.airbyte.integrations.destination.bigquery.formatter.DefaultBigQueryRecordFormatter}
2022-06-07 16:03:39 destination > 2022-06-07 16:03:39 INFO i.a.i.d.b.u.AbstractBigQueryUploader(close):78 - Closing connector: AbstractBigQueryUploader{table=_airbyte_raw_user_server_weapon_stats, tmpTable=_airbyte_tmp_xea_user_server_weapon_stats, syncMode=WRITE_APPEND, writer=class io.airbyte.integrations.destination.bigquery.writer.BigQueryTableWriter, recordFormatter=class io.airbyte.integrations.destination.bigquery.formatter.DefaultBigQueryRecordFormatter}
2022-06-07 16:03:39 destination > 2022-06-07 16:03:39 INFO i.a.i.d.b.u.AbstractBigQueryUploader(uploadData):95 - Uploading data from the tmp table _airbyte_tmp_xea_user_server_weapon_stats to the source table _airbyte_raw_user_server_weapon_stats.
2022-06-07 16:03:39 destination > 2022-06-07 16:03:39 INFO i.a.i.d.b.u.AbstractBigQueryUploader(uploadDataToTableFromTmpTable):120 - Replication finished with no explicit errors. Copying data from tmp tables to permanent
2022-06-07 16:03:43 destination > 2022-06-07 16:03:43 INFO i.a.i.d.b.u.AbstractBigQueryUploader(copyTable):185 - successfully copied table: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=ggpredict_airbyte, tableId=_airbyte_tmp_xea_user_server_weapon_stats}} to table: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=ggpredict_airbyte, tableId=_airbyte_raw_user_server_weapon_stats}}
2022-06-07 16:03:43 destination > 2022-06-07 16:03:43 INFO i.a.i.d.b.u.AbstractBigQueryUploader(uploadData):97 - Data is successfully loaded to the source table _airbyte_raw_user_server_weapon_stats!
2022-06-07 16:03:43 INFO i.a.v.j.JsonSchemaValidator(test):71 - JSON schema validation failed. 
errors: $: null found, object expected
2022-06-07 16:03:43 ERROR i.a.w.i.DefaultAirbyteStreamFactory(lambda$create$1):70 - Validation failed: null
2022-06-07 16:03:43 destination > 2022-06-07 16:03:43 INFO i.a.i.d.b.u.AbstractBigQueryUploader(uploadData):99 - Final state message is accepted.
2022-06-07 16:03:43 destination > 2022-06-07 16:03:43 INFO i.a.i.d.b.u.AbstractBigQueryUploader(dropTmpTable):111 - Removing tmp tables...
2022-06-07 16:03:43 destination > 2022-06-07 16:03:43 INFO i.a.i.d.b.u.AbstractBigQueryUploader(dropTmpTable):113 - Finishing destination process...completed
2022-06-07 16:03:43 destination > 2022-06-07 16:03:43 INFO i.a.i.d.b.u.AbstractBigQueryUploader(close):85 - Closed connector: AbstractBigQueryUploader{table=_airbyte_raw_user_server_weapon_stats, tmpTable=_airbyte_tmp_xea_user_server_weapon_stats, syncMode=WRITE_APPEND, writer=class io.airbyte.integrations.destination.bigquery.writer.BigQueryTableWriter, recordFormatter=class io.airbyte.integrations.destination.bigquery.formatter.DefaultBigQueryRecordFormatter}
2022-06-07 16:03:43 destination > 2022-06-07 16:03:43 INFO i.a.i.d.b.u.AbstractBigQueryUploader(close):78 - Closing connector: AbstractBigQueryUploader{table=_airbyte_raw_user_training_v2_level_segment_unit_stats, tmpTable=_airbyte_tmp_hez_user_training_v2_level_segment_unit_stats, syncMode=WRITE_APPEND, writer=class io.airbyte.integrations.destination.bigquery.writer.BigQueryTableWriter, recordFormatter=class io.airbyte.integrations.destination.bigquery.formatter.DefaultBigQueryRecordFormatter}
2022-06-07 16:03:43 destination > 2022-06-07 16:03:43 INFO i.a.i.d.b.u.AbstractBigQueryUploader(uploadData):95 - Uploading data from the tmp table _airbyte_tmp_hez_user_training_v2_level_segment_unit_stats to the source table _airbyte_raw_user_training_v2_level_segment_unit_stats.
2022-06-07 16:03:43 destination > 2022-06-07 16:03:43 INFO i.a.i.d.b.u.AbstractBigQueryUploader(uploadDataToTableFromTmpTable):120 - Replication finished with no explicit errors. Copying data from tmp tables to permanent
2022-06-07 16:03:44 destination > 2022-06-07 16:03:44 INFO i.a.i.d.b.u.AbstractBigQueryUploader(copyTable):185 - successfully copied table: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=ggpredict_airbyte, tableId=_airbyte_tmp_hez_user_training_v2_level_segment_unit_stats}} to table: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=ggpredict_airbyte, tableId=_airbyte_raw_user_training_v2_level_segment_unit_stats}}
2022-06-07 16:03:44 destination > 2022-06-07 16:03:44 INFO i.a.i.d.b.u.AbstractBigQueryUploader(uploadData):97 - Data is successfully loaded to the source table _airbyte_raw_user_training_v2_level_segment_unit_stats!
2022-06-07 16:03:44 INFO i.a.v.j.JsonSchemaValidator(test):71 - JSON schema validation failed. 
errors: $: null found, object expected
2022-06-07 16:03:44 ERROR i.a.w.i.DefaultAirbyteStreamFactory(lambda$create$1):70 - Validation failed: null
2022-06-07 16:03:44 destination > 2022-06-07 16:03:44 INFO i.a.i.d.b.u.AbstractBigQueryUploader(uploadData):99 - Final state message is accepted.
2022-06-07 16:03:44 destination > 2022-06-07 16:03:44 INFO i.a.i.d.b.u.AbstractBigQueryUploader(dropTmpTable):111 - Removing tmp tables...
2022-06-07 16:03:44 destination > 2022-06-07 16:03:44 INFO i.a.i.d.b.u.AbstractBigQueryUploader(dropTmpTable):113 - Finishing destination process...completed
2022-06-07 16:03:44 destination > 2022-06-07 16:03:44 INFO i.a.i.d.b.u.AbstractBigQueryUploader(close):85 - Closed connector: AbstractBigQueryUploader{table=_airbyte_raw_user_training_v2_level_segment_unit_stats, tmpTable=_airbyte_tmp_hez_user_training_v2_level_segment_unit_stats, syncMode=WRITE_APPEND, writer=class io.airbyte.integrations.destination.bigquery.writer.BigQueryTableWriter, recordFormatter=class io.airbyte.integrations.destination.bigquery.formatter.DefaultBigQueryRecordFormatter}
2022-06-07 16:03:44 destination > 2022-06-07 16:03:44 INFO i.a.i.d.b.u.AbstractBigQueryUploader(close):78 - Closing connector: AbstractBigQueryUploader{table=_airbyte_raw_user_training_v2_level_segment_units, tmpTable=_airbyte_tmp_icm_user_training_v2_level_segment_units, syncMode=WRITE_APPEND, writer=class io.airbyte.integrations.destination.bigquery.writer.BigQueryTableWriter, recordFormatter=class io.airbyte.integrations.destination.bigquery.formatter.DefaultBigQueryRecordFormatter}
2022-06-07 16:03:44 destination > 2022-06-07 16:03:44 INFO i.a.i.d.b.u.AbstractBigQueryUploader(uploadData):95 - Uploading data from the tmp table _airbyte_tmp_icm_user_training_v2_level_segment_units to the source table _airbyte_raw_user_training_v2_level_segment_units.
2022-06-07 16:03:44 destination > 2022-06-07 16:03:44 INFO i.a.i.d.b.u.AbstractBigQueryUploader(uploadDataToTableFromTmpTable):120 - Replication finished with no explicit errors. Copying data from tmp tables to permanent
2022-06-07 16:03:47 destination > 2022-06-07 16:03:47 INFO i.a.i.d.b.u.AbstractBigQueryUploader(copyTable):185 - successfully copied table: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=ggpredict_airbyte, tableId=_airbyte_tmp_icm_user_training_v2_level_segment_units}} to table: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=ggpredict_airbyte, tableId=_airbyte_raw_user_training_v2_level_segment_units}}
2022-06-07 16:03:47 destination > 2022-06-07 16:03:47 INFO i.a.i.d.b.u.AbstractBigQueryUploader(uploadData):97 - Data is successfully loaded to the source table _airbyte_raw_user_training_v2_level_segment_units!
2022-06-07 16:03:47 INFO i.a.v.j.JsonSchemaValidator(test):71 - JSON schema validation failed. 
errors: $: null found, object expected
2022-06-07 16:03:47 ERROR i.a.w.i.DefaultAirbyteStreamFactory(lambda$create$1):70 - Validation failed: null
2022-06-07 16:03:47 destination > 2022-06-07 16:03:47 INFO i.a.i.d.b.u.AbstractBigQueryUploader(uploadData):99 - Final state message is accepted.
2022-06-07 16:03:47 destination > 2022-06-07 16:03:47 INFO i.a.i.d.b.u.AbstractBigQueryUploader(dropTmpTable):111 - Removing tmp tables...
2022-06-07 16:03:47 destination > 2022-06-07 16:03:47 INFO i.a.i.d.b.u.AbstractBigQueryUploader(dropTmpTable):113 - Finishing destination process...completed
2022-06-07 16:03:47 destination > 2022-06-07 16:03:47 INFO i.a.i.d.b.u.AbstractBigQueryUploader(close):85 - Closed connector: AbstractBigQueryUploader{table=_airbyte_raw_user_training_v2_level_segment_units, tmpTable=_airbyte_tmp_icm_user_training_v2_level_segment_units, syncMode=WRITE_APPEND, writer=class io.airbyte.integrations.destination.bigquery.writer.BigQueryTableWriter, recordFormatter=class io.airbyte.integrations.destination.bigquery.formatter.DefaultBigQueryRecordFormatter}
2022-06-07 16:03:47 destination > 2022-06-07 16:03:47 INFO i.a.i.d.b.u.AbstractBigQueryUploader(close):78 - Closing connector: AbstractBigQueryUploader{table=_airbyte_raw_user_server_live_stats, tmpTable=_airbyte_tmp_ofx_user_server_live_stats, syncMode=WRITE_APPEND, writer=class io.airbyte.integrations.destination.bigquery.writer.BigQueryTableWriter, recordFormatter=class io.airbyte.integrations.destination.bigquery.formatter.DefaultBigQueryRecordFormatter}
2022-06-07 16:03:47 destination > 2022-06-07 16:03:47 INFO i.a.i.d.b.u.AbstractBigQueryUploader(uploadData):95 - Uploading data from the tmp table _airbyte_tmp_ofx_user_server_live_stats to the source table _airbyte_raw_user_server_live_stats.
2022-06-07 16:03:47 destination > 2022-06-07 16:03:47 INFO i.a.i.d.b.u.AbstractBigQueryUploader(uploadDataToTableFromTmpTable):120 - Replication finished with no explicit errors. Copying data from tmp tables to permanent
2022-06-07 16:03:50 destination > 2022-06-07 16:03:50 INFO i.a.i.d.b.u.AbstractBigQueryUploader(copyTable):185 - successfully copied table: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=ggpredict_airbyte, tableId=_airbyte_tmp_ofx_user_server_live_stats}} to table: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=ggpredict_airbyte, tableId=_airbyte_raw_user_server_live_stats}}
2022-06-07 16:03:50 destination > 2022-06-07 16:03:50 INFO i.a.i.d.b.u.AbstractBigQueryUploader(uploadData):97 - Data is successfully loaded to the source table _airbyte_raw_user_server_live_stats!
2022-06-07 16:03:50 INFO i.a.v.j.JsonSchemaValidator(test):71 - JSON schema validation failed. 
errors: $: null found, object expected
2022-06-07 16:03:50 ERROR i.a.w.i.DefaultAirbyteStreamFactory(lambda$create$1):70 - Validation failed: null
2022-06-07 16:03:50 destination > 2022-06-07 16:03:50 INFO i.a.i.d.b.u.AbstractBigQueryUploader(uploadData):99 - Final state message is accepted.
2022-06-07 16:03:50 destination > 2022-06-07 16:03:50 INFO i.a.i.d.b.u.AbstractBigQueryUploader(dropTmpTable):111 - Removing tmp tables...
2022-06-07 16:03:50 destination > 2022-06-07 16:03:50 INFO i.a.i.d.b.u.AbstractBigQueryUploader(dropTmpTable):113 - Finishing destination process...completed
2022-06-07 16:03:50 destination > 2022-06-07 16:03:50 INFO i.a.i.d.b.u.AbstractBigQueryUploader(close):85 - Closed connector: AbstractBigQueryUploader{table=_airbyte_raw_user_server_live_stats, tmpTable=_airbyte_tmp_ofx_user_server_live_stats, syncMode=WRITE_APPEND, writer=class io.airbyte.integrations.destination.bigquery.writer.BigQueryTableWriter, recordFormatter=class io.airbyte.integrations.destination.bigquery.formatter.DefaultBigQueryRecordFormatter}
2022-06-07 16:03:50 destination > 2022-06-07 16:03:50 INFO i.a.i.d.b.u.AbstractBigQueryUploader(close):78 - Closing connector: AbstractBigQueryUploader{table=_airbyte_raw_coach_match_advanced_stats, tmpTable=_airbyte_tmp_ued_coach_match_advanced_stats, syncMode=WRITE_APPEND, writer=class io.airbyte.integrations.destination.bigquery.writer.BigQueryTableWriter, recordFormatter=class io.airbyte.integrations.destination.bigquery.formatter.DefaultBigQueryRecordFormatter}
2022-06-07 16:03:50 destination > 2022-06-07 16:03:50 INFO i.a.i.d.b.u.AbstractBigQueryUploader(uploadData):95 - Uploading data from the tmp table _airbyte_tmp_ued_coach_match_advanced_stats to the source table _airbyte_raw_coach_match_advanced_stats.
2022-06-07 16:03:50 destination > 2022-06-07 16:03:50 INFO i.a.i.d.b.u.AbstractBigQueryUploader(uploadDataToTableFromTmpTable):120 - Replication finished with no explicit errors. Copying data from tmp tables to permanent
2022-06-07 16:03:52 destination > 2022-06-07 16:03:52 INFO i.a.i.d.b.u.AbstractBigQueryUploader(copyTable):185 - successfully copied table: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=ggpredict_airbyte, tableId=_airbyte_tmp_ued_coach_match_advanced_stats}} to table: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=ggpredict_airbyte, tableId=_airbyte_raw_coach_match_advanced_stats}}
2022-06-07 16:03:52 destination > 2022-06-07 16:03:52 INFO i.a.i.d.b.u.AbstractBigQueryUploader(uploadData):97 - Data is successfully loaded to the source table _airbyte_raw_coach_match_advanced_stats!
2022-06-07 16:03:52 INFO i.a.v.j.JsonSchemaValidator(test):71 - JSON schema validation failed. 
errors: $: null found, object expected
2022-06-07 16:03:52 ERROR i.a.w.i.DefaultAirbyteStreamFactory(lambda$create$1):70 - Validation failed: null
2022-06-07 16:03:52 destination > 2022-06-07 16:03:52 INFO i.a.i.d.b.u.AbstractBigQueryUploader(uploadData):99 - Final state message is accepted.
2022-06-07 16:03:52 destination > 2022-06-07 16:03:52 INFO i.a.i.d.b.u.AbstractBigQueryUploader(dropTmpTable):111 - Removing tmp tables...
2022-06-07 16:03:52 destination > 2022-06-07 16:03:52 INFO i.a.i.d.b.u.AbstractBigQueryUploader(dropTmpTable):113 - Finishing destination process...completed
2022-06-07 16:03:52 destination > 2022-06-07 16:03:52 INFO i.a.i.d.b.u.AbstractBigQueryUploader(close):85 - Closed connector: AbstractBigQueryUploader{table=_airbyte_raw_coach_match_advanced_stats, tmpTable=_airbyte_tmp_ued_coach_match_advanced_stats, syncMode=WRITE_APPEND, writer=class io.airbyte.integrations.destination.bigquery.writer.BigQueryTableWriter, recordFormatter=class io.airbyte.integrations.destination.bigquery.formatter.DefaultBigQueryRecordFormatter}
2022-06-07 16:03:52 destination > 2022-06-07 16:03:52 INFO i.a.i.d.b.u.AbstractBigQueryUploader(close):78 - Closing connector: AbstractBigQueryUploader{table=_airbyte_raw_coach_matches, tmpTable=_airbyte_tmp_zxl_coach_matches, syncMode=WRITE_APPEND, writer=class io.airbyte.integrations.destination.bigquery.writer.BigQueryTableWriter, recordFormatter=class io.airbyte.integrations.destination.bigquery.formatter.DefaultBigQueryRecordFormatter}
2022-06-07 16:03:52 destination > 2022-06-07 16:03:52 INFO i.a.i.d.b.u.AbstractBigQueryUploader(uploadData):95 - Uploading data from the tmp table _airbyte_tmp_zxl_coach_matches to the source table _airbyte_raw_coach_matches.
2022-06-07 16:03:52 destination > 2022-06-07 16:03:52 INFO i.a.i.d.b.u.AbstractBigQueryUploader(uploadDataToTableFromTmpTable):120 - Replication finished with no explicit errors. Copying data from tmp tables to permanent
2022-06-07 16:03:55 destination > 2022-06-07 16:03:55 INFO i.a.i.d.b.u.AbstractBigQueryUploader(copyTable):185 - successfully copied table: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=ggpredict_airbyte, tableId=_airbyte_tmp_zxl_coach_matches}} to table: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=ggpredict_airbyte, tableId=_airbyte_raw_coach_matches}}
2022-06-07 16:03:55 destination > 2022-06-07 16:03:55 INFO i.a.i.d.b.u.AbstractBigQueryUploader(uploadData):97 - Data is successfully loaded to the source table _airbyte_raw_coach_matches!
2022-06-07 16:03:55 INFO i.a.v.j.JsonSchemaValidator(test):71 - JSON schema validation failed. 
errors: $: null found, object expected
2022-06-07 16:03:55 ERROR i.a.w.i.DefaultAirbyteStreamFactory(lambda$create$1):70 - Validation failed: null
2022-06-07 16:03:55 destination > 2022-06-07 16:03:55 INFO i.a.i.d.b.u.AbstractBigQueryUploader(uploadData):99 - Final state message is accepted.
2022-06-07 16:03:55 destination > 2022-06-07 16:03:55 INFO i.a.i.d.b.u.AbstractBigQueryUploader(dropTmpTable):111 - Removing tmp tables...
2022-06-07 16:03:55 destination > 2022-06-07 16:03:55 INFO i.a.i.d.b.u.AbstractBigQueryUploader(dropTmpTable):113 - Finishing destination process...completed
2022-06-07 16:03:55 destination > 2022-06-07 16:03:55 INFO i.a.i.d.b.u.AbstractBigQueryUploader(close):85 - Closed connector: AbstractBigQueryUploader{table=_airbyte_raw_coach_matches, tmpTable=_airbyte_tmp_zxl_coach_matches, syncMode=WRITE_APPEND, writer=class io.airbyte.integrations.destination.bigquery.writer.BigQueryTableWriter, recordFormatter=class io.airbyte.integrations.destination.bigquery.formatter.DefaultBigQueryRecordFormatter}
2022-06-07 16:03:55 destination > 2022-06-07 16:03:55 INFO i.a.i.d.b.u.AbstractBigQueryUploader(close):78 - Closing connector: AbstractBigQueryUploader{table=_airbyte_raw_user_challenges, tmpTable=_airbyte_tmp_cey_user_challenges, syncMode=WRITE_APPEND, writer=class io.airbyte.integrations.destination.bigquery.writer.BigQueryTableWriter, recordFormatter=class io.airbyte.integrations.destination.bigquery.formatter.DefaultBigQueryRecordFormatter}
2022-06-07 16:03:55 destination > 2022-06-07 16:03:55 INFO i.a.i.d.b.u.AbstractBigQueryUploader(uploadData):95 - Uploading data from the tmp table _airbyte_tmp_cey_user_challenges to the source table _airbyte_raw_user_challenges.
2022-06-07 16:03:55 destination > 2022-06-07 16:03:55 INFO i.a.i.d.b.u.AbstractBigQueryUploader(uploadDataToTableFromTmpTable):120 - Replication finished with no explicit errors. Copying data from tmp tables to permanent
2022-06-07 16:03:57 destination > 2022-06-07 16:03:57 INFO i.a.i.d.b.u.AbstractBigQueryUploader(copyTable):185 - successfully copied table: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=ggpredict_airbyte, tableId=_airbyte_tmp_cey_user_challenges}} to table: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=ggpredict_airbyte, tableId=_airbyte_raw_user_challenges}}
2022-06-07 16:03:57 destination > 2022-06-07 16:03:57 INFO i.a.i.d.b.u.AbstractBigQueryUploader(uploadData):97 - Data is successfully loaded to the source table _airbyte_raw_user_challenges!
2022-06-07 16:03:57 INFO i.a.v.j.JsonSchemaValidator(test):71 - JSON schema validation failed. 
errors: $: null found, object expected
2022-06-07 16:03:57 ERROR i.a.w.i.DefaultAirbyteStreamFactory(lambda$create$1):70 - Validation failed: null
2022-06-07 16:03:57 destination > 2022-06-07 16:03:57 INFO i.a.i.d.b.u.AbstractBigQueryUploader(uploadData):99 - Final state message is accepted.
2022-06-07 16:03:57 destination > 2022-06-07 16:03:57 INFO i.a.i.d.b.u.AbstractBigQueryUploader(dropTmpTable):111 - Removing tmp tables...
2022-06-07 16:03:57 destination > 2022-06-07 16:03:57 INFO i.a.i.d.b.u.AbstractBigQueryUploader(dropTmpTable):113 - Finishing destination process...completed
2022-06-07 16:03:57 destination > 2022-06-07 16:03:57 INFO i.a.i.d.b.u.AbstractBigQueryUploader(close):85 - Closed connector: AbstractBigQueryUploader{table=_airbyte_raw_user_challenges, tmpTable=_airbyte_tmp_cey_user_challenges, syncMode=WRITE_APPEND, writer=class io.airbyte.integrations.destination.bigquery.writer.BigQueryTableWriter, recordFormatter=class io.airbyte.integrations.destination.bigquery.formatter.DefaultBigQueryRecordFormatter}
2022-06-07 16:03:57 destination > 2022-06-07 16:03:57 INFO i.a.i.d.b.u.AbstractBigQueryUploader(close):78 - Closing connector: AbstractBigQueryUploader{table=_airbyte_raw_challenge_types, tmpTable=_airbyte_tmp_pdm_challenge_types, syncMode=WRITE_APPEND, writer=class io.airbyte.integrations.destination.bigquery.writer.BigQueryTableWriter, recordFormatter=class io.airbyte.integrations.destination.bigquery.formatter.DefaultBigQueryRecordFormatter}
2022-06-07 16:03:57 destination > 2022-06-07 16:03:57 INFO i.a.i.d.b.u.AbstractBigQueryUploader(uploadData):95 - Uploading data from the tmp table _airbyte_tmp_pdm_challenge_types to the source table _airbyte_raw_challenge_types.
2022-06-07 16:03:57 destination > 2022-06-07 16:03:57 INFO i.a.i.d.b.u.AbstractBigQueryUploader(uploadDataToTableFromTmpTable):120 - Replication finished with no explicit errors. Copying data from tmp tables to permanent
2022-06-07 16:03:59 destination > 2022-06-07 16:03:59 INFO i.a.i.d.b.u.AbstractBigQueryUploader(copyTable):185 - successfully copied table: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=ggpredict_airbyte, tableId=_airbyte_tmp_pdm_challenge_types}} to table: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=ggpredict_airbyte, tableId=_airbyte_raw_challenge_types}}
2022-06-07 16:03:59 destination > 2022-06-07 16:03:59 INFO i.a.i.d.b.u.AbstractBigQueryUploader(uploadData):97 - Data is successfully loaded to the source table _airbyte_raw_challenge_types!
2022-06-07 16:03:59 INFO i.a.v.j.JsonSchemaValidator(test):71 - JSON schema validation failed. 
errors: $: null found, object expected
2022-06-07 16:03:59 ERROR i.a.w.i.DefaultAirbyteStreamFactory(lambda$create$1):70 - Validation failed: null
2022-06-07 16:03:59 destination > 2022-06-07 16:03:59 INFO i.a.i.d.b.u.AbstractBigQueryUploader(uploadData):99 - Final state message is accepted.
2022-06-07 16:03:59 destination > 2022-06-07 16:03:59 INFO i.a.i.d.b.u.AbstractBigQueryUploader(dropTmpTable):111 - Removing tmp tables...
2022-06-07 16:03:59 destination > 2022-06-07 16:03:59 INFO i.a.i.d.b.u.AbstractBigQueryUploader(dropTmpTable):113 - Finishing destination process...completed
2022-06-07 16:03:59 destination > 2022-06-07 16:03:59 INFO i.a.i.d.b.u.AbstractBigQueryUploader(close):85 - Closed connector: AbstractBigQueryUploader{table=_airbyte_raw_challenge_types, tmpTable=_airbyte_tmp_pdm_challenge_types, syncMode=WRITE_APPEND, writer=class io.airbyte.integrations.destination.bigquery.writer.BigQueryTableWriter, recordFormatter=class io.airbyte.integrations.destination.bigquery.formatter.DefaultBigQueryRecordFormatter}
2022-06-07 16:03:59 destination > 2022-06-07 16:03:59 INFO i.a.i.d.b.u.AbstractBigQueryUploader(close):78 - Closing connector: AbstractBigQueryUploader{table=_airbyte_raw_missplays, tmpTable=_airbyte_tmp_doi_missplays, syncMode=WRITE_APPEND, writer=class io.airbyte.integrations.destination.bigquery.writer.BigQueryTableWriter, recordFormatter=class io.airbyte.integrations.destination.bigquery.formatter.DefaultBigQueryRecordFormatter}
2022-06-07 16:03:59 destination > 2022-06-07 16:03:59 INFO i.a.i.d.b.u.AbstractBigQueryUploader(uploadData):95 - Uploading data from the tmp table _airbyte_tmp_doi_missplays to the source table _airbyte_raw_missplays.
2022-06-07 16:03:59 destination > 2022-06-07 16:03:59 INFO i.a.i.d.b.u.AbstractBigQueryUploader(uploadDataToTableFromTmpTable):120 - Replication finished with no explicit errors. Copying data from tmp tables to permanent
2022-06-07 16:04:02 destination > 2022-06-07 16:04:02 INFO i.a.i.d.b.u.AbstractBigQueryUploader(copyTable):185 - successfully copied table: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=ggpredict_airbyte, tableId=_airbyte_tmp_doi_missplays}} to table: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=ggpredict_airbyte, tableId=_airbyte_raw_missplays}}
2022-06-07 16:04:02 destination > 2022-06-07 16:04:02 INFO i.a.i.d.b.u.AbstractBigQueryUploader(uploadData):97 - Data is successfully loaded to the source table _airbyte_raw_missplays!
2022-06-07 16:04:02 INFO i.a.v.j.JsonSchemaValidator(test):71 - JSON schema validation failed. 
errors: $: null found, object expected
2022-06-07 16:04:02 ERROR i.a.w.i.DefaultAirbyteStreamFactory(lambda$create$1):70 - Validation failed: null
2022-06-07 16:04:02 destination > 2022-06-07 16:04:02 INFO i.a.i.d.b.u.AbstractBigQueryUploader(uploadData):99 - Final state message is accepted.
2022-06-07 16:04:02 destination > 2022-06-07 16:04:02 INFO i.a.i.d.b.u.AbstractBigQueryUploader(dropTmpTable):111 - Removing tmp tables...
2022-06-07 16:04:02 destination > 2022-06-07 16:04:02 INFO i.a.i.d.b.u.AbstractBigQueryUploader(dropTmpTable):113 - Finishing destination process...completed
2022-06-07 16:04:02 destination > 2022-06-07 16:04:02 INFO i.a.i.d.b.u.AbstractBigQueryUploader(close):85 - Closed connector: AbstractBigQueryUploader{table=_airbyte_raw_missplays, tmpTable=_airbyte_tmp_doi_missplays, syncMode=WRITE_APPEND, writer=class io.airbyte.integrations.destination.bigquery.writer.BigQueryTableWriter, recordFormatter=class io.airbyte.integrations.destination.bigquery.formatter.DefaultBigQueryRecordFormatter}
2022-06-07 16:04:02 destination > 2022-06-07 16:04:02 INFO i.a.i.d.b.u.AbstractBigQueryUploader(close):78 - Closing connector: AbstractBigQueryUploader{table=_airbyte_raw_coach_match_lineups, tmpTable=_airbyte_tmp_alj_coach_match_lineups, syncMode=WRITE_APPEND, writer=class io.airbyte.integrations.destination.bigquery.writer.BigQueryTableWriter, recordFormatter=class io.airbyte.integrations.destination.bigquery.formatter.DefaultBigQueryRecordFormatter}
2022-06-07 16:04:02 destination > 2022-06-07 16:04:02 INFO i.a.i.d.b.u.AbstractBigQueryUploader(uploadData):95 - Uploading data from the tmp table _airbyte_tmp_alj_coach_match_lineups to the source table _airbyte_raw_coach_match_lineups.
2022-06-07 16:04:02 destination > 2022-06-07 16:04:02 INFO i.a.i.d.b.u.AbstractBigQueryUploader(uploadDataToTableFromTmpTable):120 - Replication finished with no explicit errors. Copying data from tmp tables to permanent
2022-06-07 16:04:04 ERROR i.a.w.g.DefaultReplicationWorker(run):180 - Sync worker failed.
java.util.concurrent.ExecutionException: io.airbyte.workers.general.DefaultReplicationWorker$SourceException: Source cannot be stopped!
	at java.util.concurrent.CompletableFuture.reportGet(CompletableFuture.java:396) ~[?:?]
	at java.util.concurrent.CompletableFuture.get(CompletableFuture.java:2073) ~[?:?]
	at io.airbyte.workers.general.DefaultReplicationWorker.run(DefaultReplicationWorker.java:173) ~[io.airbyte-airbyte-workers-0.39.10-alpha.jar:?]
	at io.airbyte.workers.general.DefaultReplicationWorker.run(DefaultReplicationWorker.java:65) ~[io.airbyte-airbyte-workers-0.39.10-alpha.jar:?]
	at io.airbyte.workers.temporal.TemporalAttemptExecution.lambda$getWorkerThread$2(TemporalAttemptExecution.java:158) ~[io.airbyte-airbyte-workers-0.39.10-alpha.jar:?]
	at java.lang.Thread.run(Thread.java:833) [?:?]
	Suppressed: io.airbyte.workers.exception.WorkerException: Source process exit with code 1. This warning is normal if the job was cancelled.
		at io.airbyte.workers.internal.DefaultAirbyteSource.close(DefaultAirbyteSource.java:136) ~[io.airbyte-airbyte-workers-0.39.10-alpha.jar:?]
		at io.airbyte.workers.general.DefaultReplicationWorker.run(DefaultReplicationWorker.java:137) ~[io.airbyte-airbyte-workers-0.39.10-alpha.jar:?]
		at io.airbyte.workers.general.DefaultReplicationWorker.run(DefaultReplicationWorker.java:65) ~[io.airbyte-airbyte-workers-0.39.10-alpha.jar:?]
		at io.airbyte.workers.temporal.TemporalAttemptExecution.lambda$getWorkerThread$2(TemporalAttemptExecution.java:158) ~[io.airbyte-airbyte-workers-0.39.10-alpha.jar:?]
		at java.lang.Thread.run(Thread.java:833) [?:?]
	Suppressed: io.airbyte.workers.exception.WorkerException: Destination process exit with code 143. This warning is normal if the job was cancelled.
		at io.airbyte.workers.internal.DefaultAirbyteDestination.close(DefaultAirbyteDestination.java:119) ~[io.airbyte-airbyte-workers-0.39.10-alpha.jar:?]
		at io.airbyte.workers.general.DefaultReplicationWorker.run(DefaultReplicationWorker.java:137) ~[io.airbyte-airbyte-workers-0.39.10-alpha.jar:?]
		at io.airbyte.workers.general.DefaultReplicationWorker.run(DefaultReplicationWorker.java:65) ~[io.airbyte-airbyte-workers-0.39.10-alpha.jar:?]
		at io.airbyte.workers.temporal.TemporalAttemptExecution.lambda$getWorkerThread$2(TemporalAttemptExecution.java:158) ~[io.airbyte-airbyte-workers-0.39.10-alpha.jar:?]
		at java.lang.Thread.run(Thread.java:833) [?:?]
Caused by: io.airbyte.workers.general.DefaultReplicationWorker$SourceException: Source cannot be stopped!
	at io.airbyte.workers.general.DefaultReplicationWorker.lambda$getReplicationRunnable$6(DefaultReplicationWorker.java:351) ~[io.airbyte-airbyte-workers-0.39.10-alpha.jar:?]
	at java.util.concurrent.CompletableFuture$AsyncRun.run(CompletableFuture.java:1804) ~[?:?]
	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1136) ~[?:?]
	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:635) ~[?:?]
	... 1 more
Caused by: io.airbyte.workers.exception.WorkerException: Source process exit with code 1. This warning is normal if the job was cancelled.
	at io.airbyte.workers.internal.DefaultAirbyteSource.close(DefaultAirbyteSource.java:136) ~[io.airbyte-airbyte-workers-0.39.10-alpha.jar:?]
	at io.airbyte.workers.general.DefaultReplicationWorker.lambda$getReplicationRunnable$6(DefaultReplicationWorker.java:349) ~[io.airbyte-airbyte-workers-0.39.10-alpha.jar:?]
	at java.util.concurrent.CompletableFuture$AsyncRun.run(CompletableFuture.java:1804) ~[?:?]
	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1136) ~[?:?]
	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:635) ~[?:?]
	... 1 more
2022-06-07 16:04:04 INFO i.a.w.g.DefaultReplicationWorker(run):239 - sync summary: io.airbyte.config.ReplicationAttemptSummary@52849e40[status=failed,recordsSynced=0,bytesSynced=0,startTime=1654617472366,endTime=1654617844570,totalStats=io.airbyte.config.SyncStats@196282b6[recordsEmitted=0,bytesEmitted=0,stateMessagesEmitted=0,recordsCommitted=0],streamStats=[]]
2022-06-07 16:04:04 INFO i.a.w.g.DefaultReplicationWorker(run):268 - Source did not output any state messages
2022-06-07 16:04:04 WARN i.a.w.g.DefaultReplicationWorker(run):279 - State capture: No state retained.
2022-06-07 16:04:04 INFO i.a.w.t.TemporalAttemptExecution(get):134 - Stopping cancellation check scheduling...
2022-06-07 16:04:04 INFO i.a.w.t.s.ReplicationActivityImpl(lambda$replicate$3):157 - sync summary: io.airbyte.config.StandardSyncOutput@3474006e[standardSyncSummary=io.airbyte.config.StandardSyncSummary@382c99ff[status=failed,recordsSynced=0,bytesSynced=0,startTime=1654617472366,endTime=1654617844570,totalStats=io.airbyte.config.SyncStats@196282b6[recordsEmitted=0,bytesEmitted=0,stateMessagesEmitted=0,recordsCommitted=0],streamStats=[]],normalizationSummary=<null>,state=<null>,outputCatalog=io.airbyte.protocol.models.ConfiguredAirbyteCatalog@50a370d[streams=[io.airbyte.protocol.models.ConfiguredAirbyteStream@40b8f028[stream=io.airbyte.protocol.models.AirbyteStream@545bff21[name=challenge_maps,jsonSchema={"type":"object","properties":{"map_id":{"type":"number"},"challenge_id":{"type":"number"},"_ab_cdc_log_pos":{"type":"number"},"_ab_cdc_log_file":{"type":"string"},"_ab_cdc_deleted_at":{"type":"string"},"_ab_cdc_updated_at":{"type":"string"}}},supportedSyncModes=[full_refresh, incremental],sourceDefinedCursor=true,defaultCursorField=[],sourceDefinedPrimaryKey=[[challenge_id], [map_id]],namespace=<null>,additionalProperties={}],syncMode=incremental,cursorField=[],destinationSyncMode=append_dedup,primaryKey=[[challenge_id], [map_id]],additionalProperties={}], io.airbyte.protocol.models.ConfiguredAirbyteStream@8646734[stream=io.airbyte.protocol.models.AirbyteStream@5c028b6a[name=challenge_types,jsonSchema={"type":"object","properties":{"id":{"type":"number"},"name":{"type":"string"},"_ab_cdc_log_pos":{"type":"number"},"_ab_cdc_log_file":{"type":"string"},"_ab_cdc_deleted_at":{"type":"string"},"_ab_cdc_updated_at":{"type":"string"}}},supportedSyncModes=[full_refresh, incremental],sourceDefinedCursor=true,defaultCursorField=[],sourceDefinedPrimaryKey=[[id]],namespace=<null>,additionalProperties={}],syncMode=incremental,cursorField=[],destinationSyncMode=append_dedup,primaryKey=[[id]],additionalProperties={}], io.airbyte.protocol.models.ConfiguredAirbyteStream@5bbc1972[stream=io.airbyte.protocol.models.AirbyteStream@501547d3[name=challenge_weapons,jsonSchema={"type":"object","properties":{"weapon_id":{"type":"number"},"challenge_id":{"type":"number"},"_ab_cdc_log_pos":{"type":"number"},"_ab_cdc_log_file":{"type":"string"},"_ab_cdc_deleted_at":{"type":"string"},"_ab_cdc_updated_at":{"type":"string"}}},supportedSyncModes=[full_refresh, incremental],sourceDefinedCursor=true,defaultCursorField=[],sourceDefinedPrimaryKey=[[challenge_id], [weapon_id]],namespace=<null>,additionalProperties={}],syncMode=incremental,cursorField=[],destinationSyncMode=append_dedup,primaryKey=[[challenge_id], [weapon_id]],additionalProperties={}], io.airbyte.protocol.models.ConfiguredAirbyteStream@7b63d722[stream=io.airbyte.protocol.models.AirbyteStream@33f25aff[name=challenges,jsonSchema={"type":"object","properties":{"id":{"type":"number"},"goal":{"type":"number"},"difficulty":{"type":"number"},"description":{"type":"string"},"_ab_cdc_log_pos":{"type":"number"},"_ab_cdc_log_file":{"type":"string"},"challenge_type_id":{"type":"number"},"_ab_cdc_deleted_at":{"type":"string"},"_ab_cdc_updated_at":{"type":"string"}}},supportedSyncModes=[full_refresh, incremental],sourceDefinedCursor=true,defaultCursorField=[],sourceDefinedPrimaryKey=[[id]],namespace=<null>,additionalProperties={}],syncMode=incremental,cursorField=[],destinationSyncMode=append_dedup,primaryKey=[[id]],additionalProperties={}], io.airbyte.protocol.models.ConfiguredAirbyteStream@83eb27a[stream=io.airbyte.protocol.models.AirbyteStream@72ef4771[name=coach_match_advanced_stats,jsonSchema={"type":"object","properties":{"aiming":{"type":"number"},"clutch":{"type":"number"},"sniping":{"type":"number"},"gamepace":{"type":"number"},"teamplay":{"type":"number"},"aggression":{"type":"number"},"positioning":{"type":"number"},"coach_match_id":{"type":"number"},"responsiveness":{"type":"number"},"utilitiesusage":{"type":"number"},"_ab_cdc_log_pos":{"type":"number"},"coach_player_id":{"type":"number"},"_ab_cdc_log_file":{"type":"string"},"_ab_cdc_deleted_at":{"type":"string"},"_ab_cdc_updated_at":{"type":"string"}}},supportedSyncModes=[full_refresh, incremental],sourceDefinedCursor=true,defaultCursorField=[],sourceDefinedPrimaryKey=[[coach_match_id], [coach_player_id]],namespace=<null>,additionalProperties={}],syncMode=incremental,cursorField=[],destinationSyncMode=append_dedup,primaryKey=[[coach_match_id], [coach_player_id]],additionalProperties={}], io.airbyte.protocol.models.ConfiguredAirbyteStream@175044c9[stream=io.airbyte.protocol.models.AirbyteStream@3654d17e[name=coach_match_advanced_stats_v2,jsonSchema={"type":"object","properties":{"aim":{"type":"number"},"rifle":{"type":"number"},"pistol":{"type":"number"},"sniping":{"type":"number"},"movement":{"type":"number"},"teamplay":{"type":"number"},"utilities":{"type":"number"},"coach_match_id":{"type":"number"},"_ab_cdc_log_pos":{"type":"number"},"coach_player_id":{"type":"number"},"_ab_cdc_log_file":{"type":"string"},"_ab_cdc_deleted_at":{"type":"string"},"_ab_cdc_updated_at":{"type":"string"}}},supportedSyncModes=[full_refresh, incremental],sourceDefinedCursor=true,defaultCursorField=[],sourceDefinedPrimaryKey=[[coach_match_id], [coach_player_id]],namespace=<null>,additionalProperties={}],syncMode=incremental,cursorField=[],destinationSyncMode=append_dedup,primaryKey=[[coach_match_id], [coach_player_id]],additionalProperties={}], io.airbyte.protocol.models.ConfiguredAirbyteStream@4b0408ac[stream=io.airbyte.protocol.models.AirbyteStream@43581a72[name=coach_match_lineups,jsonSchema={"type":"object","properties":{"id":{"type":"number"},"adr":{"type":"number"},"kast":{"type":"number"},"mvps":{"type":"number"},"awper":{"type":"boolean"},"kills":{"type":"number"},"avatar":{"type":"string"},"deaths":{"type":"number"},"lurker":{"type":"boolean"},"rating":{"type":"number"},"rifler":{"type":"boolean"},"traded":{"type":"number"},"assists":{"type":"number"},"flashed":{"type":"number"},"support":{"type":"boolean"},"nickname":{"type":"string"},"no_kills":{"type":"number"},"t_rating":{"type":"number"},"ct_rating":{"type":"number"},"dmg_dealt":{"type":"number"},"team_hurt":{"type":"number"},"team_side":{"type":"string"},"cash_spent":{"type":"number"},"exit_kills":{"type":"number"},"faceit_elo":{"type":"number"},"molo_throw":{"type":"number"},"own_damage":{"type":"number"},"self_kills":{"type":"number"},"team_kills":{"type":"number"},"bomb_plants":{"type":"number"},"cash_earned":{"type":"number"},"dmg_sources":{"type":"number"},"fake_plants":{"type":"number"},"got_flashed":{"type":"number"},"knife_kills":{"type":"number"},"player_rank":{"type":"string"},"rifle_kills":{"type":"number"},"site_plants":{"type":"number"},"smoke_throw":{"type":"number"},"trade_kills":{"type":"number"},"weapon_hits":{"type":"number"},"awp_accuracy":{"type":"number"},"bomb_defuses":{"type":"number"},"bomb_planted":{"type":"number"},"clutch_kills":{"type":"number"},"fake_defuses":{"type":"number"},"first_to_see":{"type":"number"},"molo_quality":{"type":"number"},"site_changes":{"type":"number"},"sniper_kills":{"type":"number"},"weapon_drops":{"type":"number"},"weapon_shots":{"type":"number"},"bombs_defused":{"type":"number"},"clutch_plants":{"type":"number"},"dies_unscoped":{"type":"number"},"entry_fragger":{"type":"boolean"},"first_damages":{"type":"number"},"flash_assists":{"type":"number"},"he_efficiency":{"type":"number"},"kills_flashed":{"type":"number"},"opening_kills":{"type":"number"},"rifle_hs_rate":{"type":"number"},"rounds_played":{"type":"number"},"smoke_quality":{"type":"number"},"utilities_dmg":{"type":"number"},"avg_death_time":{"type":"number"},"clutch_defuses":{"type":"number"},"coach_match_id":{"type":"number"},"deaths_flashed":{"type":"number"},"early_distance":{"type":"number"},"flashed_deaths":{"type":"number"},"flashes_caused":{"type":"number"},"flashes_thrown":{"type":"number"},"headshot_kills":{"type":"number"},"multiple_kills":{"type":"number"},"opening_deaths":{"type":"number"},"opponents_hurt":{"type":"number"},"player_country":{"type":"string"},"rifle_accuracy":{"type":"number"},"rifle_hs_kills":{"type":"number"},"rifle_strafing":{"type":"number"},"utilities_used":{"type":"number"},"_ab_cdc_log_pos":{"type":"number"},"coach_player_id":{"type":"number"},"dies_knife_nade":{"type":"number"},"early_utilities":{"type":"number"},"sniper_hs_kills":{"type":"number"},"sniper_strafing":{"type":"number"},"_ab_cdc_log_file":{"type":"string"},"deaths_no_seeing":{"type":"number"},"faceit_player_id":{"type":"string"},"first_round_side":{"type":"string"},"flash_efficiency":{"type":"number"},"kills_after_fake":{"type":"number"},"kills_to_flashed":{"type":"number"},"smoke_efficiency":{"type":"number"},"avg_reaction_time":{"type":"number"},"awp_shots_to_kill":{"type":"number"},"opponents_flashed":{"type":"number"},"team_players_hurt":{"type":"number"},"_ab_cdc_deleted_at":{"type":"string"},"_ab_cdc_updated_at":{"type":"string"},"scoped_battles_won":{"type":"number"},"avg_equipment_value":{"type":"number"},"kills_to_not_seeing":{"type":"number"},"rifle_shots_to_kill":{"type":"number"},"scoped_battles_lost":{"type":"number"},"scoped_weapon_kills":{"type":"number"},"weapon_hits_spotted":{"type":"number"},"avg_distance_covered":{"type":"number"},"awp_accuracy_spotted":{"type":"number"},"first_see_in_seconds":{"type":"number"},"weapon_shots_spotted":{"type":"number"},"avg_distance_from_team":{"type":"number"},"flashed_teammates_time":{"type":"number"},"opponents_flashed_time":{"type":"number"},"rifle_accuracy_spotted":{"type":"number"},"utility_value_at_death":{"type":"number"},"awp_crosshair_placement":{"type":"number"},"flashes_leading_to_kill":{"type":"number"},"number_of_possessed_awp":{"type":"number"},"first_contact_in_seconds":{"type":"number"},"avg_distance_in_right_dir":{"type":"number"},"rifle_crosshair_placement":{"type":"number"},"avg_distance_towards_enemy":{"type":"number"},"sniper_crosshair_placement":{"type":"number"},"rifle_shots_spotted_to_shots":{"type":"number"},"rifle_sprays_while_opponent_spotted":{"type":"number"},"rifle_good_hits_while_opponent_spotted":{"type":"number"},"rifle_spray_hits_while_opponent_spotted":{"type":"number"},"sniper_good_hits_while_opponent_spotted":{"type":"number"},"rifle_weapon_hits_while_opponent_spotted":{"type":"number"},"rifle_weapon_shots_while_opponent_spotted":{"type":"number"},"sniper_weapon_hits_while_opponent_spotted":{"type":"number"},"sniper_weapon_shots_while_opponent_spotted":{"type":"number"}}},supportedSyncModes=[full_refresh, incremental],sourceDefinedCursor=true,defaultCursorField=[],sourceDefinedPrimaryKey=[[id]],namespace=<null>,additionalProperties={}],syncMode=incremental,cursorField=[],destinationSyncMode=append_dedup,primaryKey=[[id]],additionalProperties={}], io.airbyte.protocol.models.ConfiguredAirbyteStream@563b78dc[stream=io.airbyte.protocol.models.AirbyteStream@46f49c44[name=coach_match_missplays_in_rounds,jsonSchema={"type":"object","properties":{"x":{"type":"number"},"y":{"type":"number"},"z":{"type":"number"},"id":{"type":"number"},"time":{"type":"number"},"round":{"type":"number"},"missplay_id":{"type":"number"},"coach_match_id":{"type":"number"},"_ab_cdc_log_pos":{"type":"number"},"coach_player_id":{"type":"number"},"_ab_cdc_log_file":{"type":"string"},"_ab_cdc_deleted_at":{"type":"string"},"_ab_cdc_updated_at":{"type":"string"}}},supportedSyncModes=[full_refresh, incremental],sourceDefinedCursor=true,defaultCursorField=[],sourceDefinedPrimaryKey=[[id]],namespace=<null>,additionalProperties={}],syncMode=incremental,cursorField=[],destinationSyncMode=append_dedup,primaryKey=[[id]],additionalProperties={}], io.airbyte.protocol.models.ConfiguredAirbyteStream@2ddead5e[stream=io.airbyte.protocol.models.AirbyteStream@2e56b91d[name=coach_match_sub_stats,jsonSchema={"type":"object","properties":{"score":{"type":"number"},"sub_stat":{"type":"string"},"coach_match_id":{"type":"number"},"_ab_cdc_log_pos":{"type":"number"},"coach_player_id":{"type":"number"},"_ab_cdc_log_file":{"type":"string"},"_ab_cdc_deleted_at":{"type":"string"},"_ab_cdc_updated_at":{"type":"string"}}},supportedSyncModes=[full_refresh, incremental],sourceDefinedCursor=true,defaultCursorField=[],sourceDefinedPrimaryKey=[[coach_match_id], [coach_player_id], [sub_stat]],namespace=<null>,additionalProperties={}],syncMode=incremental,cursorField=[],destinationSyncMode=append_dedup,primaryKey=[[coach_match_id], [coach_player_id], [sub_stat]],additionalProperties={}], io.airbyte.protocol.models.ConfiguredAirbyteStream@23a6c993[stream=io.airbyte.protocol.models.AirbyteStream@41d2771f[name=coach_match_sub_stats_v2,jsonSchema={"type":"object","properties":{"score":{"type":"number"},"sub_stat":{"type":"string"},"coach_match_id":{"type":"number"},"_ab_cdc_log_pos":{"type":"number"},"coach_player_id":{"type":"number"},"_ab_cdc_log_file":{"type":"string"},"_ab_cdc_deleted_at":{"type":"string"},"_ab_cdc_updated_at":{"type":"string"}}},supportedSyncModes=[full_refresh, incremental],sourceDefinedCursor=true,defaultCursorField=[],sourceDefinedPrimaryKey=[[coach_match_id], [coach_player_id], [sub_stat]],namespace=<null>,additionalProperties={}],syncMode=incremental,cursorField=[],destinationSyncMode=append_dedup,primaryKey=[[coach_match_id], [coach_player_id], [sub_stat]],additionalProperties={}], io.airbyte.protocol.models.ConfiguredAirbyteStream@193e8626[stream=io.airbyte.protocol.models.AirbyteStream@2bb5a4d[name=coach_matches,jsonSchema={"type":"object","properties":{"id":{"type":"number"},"map_id":{"type":"number"},"demo_url":{"type":"string"},"match_id":{"type":"string"},"reported":{"type":"boolean"},"match_date":{"type":"string"},"match_type":{"type":"string"},"downloaded_at":{"type":"string"},"inserted_date":{"type":"string"},"match_platform":{"type":"string"},"_ab_cdc_log_pos":{"type":"number"},"left_team_score":{"type":"number"},"_ab_cdc_log_file":{"type":"string"},"right_team_score":{"type":"number"},"side_surrendered":{"type":"string"},"_ab_cdc_deleted_at":{"type":"string"},"_ab_cdc_updated_at":{"type":"string"},"coach_match_states":{"type":"string"},"processing_finished":{"type":"string"}}},supportedSyncModes=[full_refresh, incremental],sourceDefinedCursor=true,defaultCursorField=[],sourceDefinedPrimaryKey=[[id]],namespace=<null>,additionalProperties={}],syncMode=incremental,cursorField=[],destinationSyncMode=append_dedup,primaryKey=[[id]],additionalProperties={}], io.airbyte.protocol.models.ConfiguredAirbyteStream@17c4f1d8[stream=io.airbyte.protocol.models.AirbyteStream@45fc16b0[name=coach_players,jsonSchema={"type":"object","properties":{"id":{"type":"number"},"steam_id_64":{"type":"string"},"current_rank":{"type":"string"},"_ab_cdc_log_pos":{"type":"number"},"_ab_cdc_log_file":{"type":"string"},"_ab_cdc_deleted_at":{"type":"string"},"_ab_cdc_updated_at":{"type":"string"}}},supportedSyncModes=[full_refresh, incremental],sourceDefinedCursor=true,defaultCursorField=[],sourceDefinedPrimaryKey=[[id]],namespace=<null>,additionalProperties={}],syncMode=incremental,cursorField=[],destinationSyncMode=append_dedup,primaryKey=[[id]],additionalProperties={}], io.airbyte.protocol.models.ConfiguredAirbyteStream@289ea79f[stream=io.airbyte.protocol.models.AirbyteStream@70aff9f3[name=missplays,jsonSchema={"type":"object","properties":{"id":{"type":"number"},"value":{"type":"string"},"_ab_cdc_log_pos":{"type":"number"},"_ab_cdc_log_file":{"type":"string"},"_ab_cdc_deleted_at":{"type":"string"},"_ab_cdc_updated_at":{"type":"string"}}},supportedSyncModes=[full_refresh, incremental],sourceDefinedCursor=true,defaultCursorField=[],sourceDefinedPrimaryKey=[[id]],namespace=<null>,additionalProperties={}],syncMode=incremental,cursorField=[],destinationSyncMode=append_dedup,primaryKey=[[id]],additionalProperties={}], io.airbyte.protocol.models.ConfiguredAirbyteStream@40d58c0f[stream=io.airbyte.protocol.models.AirbyteStream@65395b33[name=user_challenges,jsonSchema={"type":"object","properties":{"id":{"type":"number"},"user_id":{"type":"number"},"progress":{"type":"number"},"challenge_id":{"type":"number"},"finished_date":{"type":"string"},"inserted_date":{"type":"string"},"_ab_cdc_log_pos":{"type":"number"},"_ab_cdc_log_file":{"type":"string"},"_ab_cdc_deleted_at":{"type":"string"},"_ab_cdc_updated_at":{"type":"string"}}},supportedSyncModes=[full_refresh, incremental],sourceDefinedCursor=true,defaultCursorField=[],sourceDefinedPrimaryKey=[[id]],namespace=<null>,additionalProperties={}],syncMode=incremental,cursorField=[],destinationSyncMode=append_dedup,primaryKey=[[id]],additionalProperties={}], io.airbyte.protocol.models.ConfiguredAirbyteStream@3846ba54[stream=io.airbyte.protocol.models.AirbyteStream@3729bcce[name=user_matches,jsonSchema={"type":"object","properties":{"user_id":{"type":"number"},"team_side":{"type":"string"},"steam_id_64":{"type":"string"},"coach_match_id":{"type":"number"},"_ab_cdc_log_pos":{"type":"number"},"_ab_cdc_log_file":{"type":"string"},"_ab_cdc_deleted_at":{"type":"string"},"_ab_cdc_updated_at":{"type":"string"}}},supportedSyncModes=[full_refresh, incremental],sourceDefinedCursor=true,defaultCursorField=[],sourceDefinedPrimaryKey=[[coach_match_id], [user_id]],namespace=<null>,additionalProperties={}],syncMode=incremental,cursorField=[],destinationSyncMode=append_dedup,primaryKey=[[coach_match_id], [user_id]],additionalProperties={}], io.airbyte.protocol.models.ConfiguredAirbyteStream@5b70fbd0[stream=io.airbyte.protocol.models.AirbyteStream@74bfc34e[name=user_server_live_stats,jsonSchema={"type":"object","properties":{"id":{"type":"number"},"csv_data":{"type":"string"},"inserted_date":{"type":"string"},"_ab_cdc_log_pos":{"type":"number"},"_ab_cdc_log_file":{"type":"string"},"_ab_cdc_deleted_at":{"type":"string"},"_ab_cdc_updated_at":{"type":"string"},"user_server_stats_id":{"type":"number"}}},supportedSyncModes=[full_refresh, incremental],sourceDefinedCursor=true,defaultCursorField=[],sourceDefinedPrimaryKey=[[id]],namespace=<null>,additionalProperties={}],syncMode=incremental,cursorField=[],destinationSyncMode=append_dedup,primaryKey=[[id]],additionalProperties={}], io.airbyte.protocol.models.ConfiguredAirbyteStream@79265397[stream=io.airbyte.protocol.models.AirbyteStream@3934fb1[name=user_server_stats,jsonSchema={"type":"object","properties":{"id":{"type":"number"},"kills":{"type":"number"},"score":{"type":"number"},"deaths":{"type":"number"},"region":{"type":"string"},"assists":{"type":"number"},"suspect":{"type":"boolean"},"user_id":{"type":"number"},"kills_hs":{"type":"number"},"server_id":{"type":"number"},"time_in_s":{"type":"number"},"server_map":{"type":"string"},"inserted_date":{"type":"string"},"_ab_cdc_log_pos":{"type":"number"},"server_hostname":{"type":"string"},"server_local_ip":{"type":"string"},"_ab_cdc_log_file":{"type":"string"},"server_public_ip":{"type":"string"},"_ab_cdc_deleted_at":{"type":"string"},"_ab_cdc_updated_at":{"type":"string"}}},supportedSyncModes=[full_refresh, incremental],sourceDefinedCursor=true,defaultCursorField=[],sourceDefinedPrimaryKey=[[id]],namespace=<null>,additionalProperties={}],syncMode=incremental,cursorField=[],destinationSyncMode=append_dedup,primaryKey=[[id]],additionalProperties={}], io.airbyte.protocol.models.ConfiguredAirbyteStream@5f618a68[stream=io.airbyte.protocol.models.AirbyteStream@55ce8779[name=user_server_weapon_stats,jsonSchema={"type":"object","properties":{"id":{"type":"number"},"hits":{"type":"number"},"kills":{"type":"number"},"shots":{"type":"number"},"damage":{"type":"number"},"kills_hs":{"type":"number"},"weapon_id":{"type":"number"},"hitgroup_gear":{"type":"number"},"hitgroup_head":{"type":"number"},"hitgroup_neck":{"type":"number"},"hitgroup_chest":{"type":"number"},"_ab_cdc_log_pos":{"type":"number"},"time_possession":{"type":"number"},"_ab_cdc_log_file":{"type":"string"},"hitgroup_generic":{"type":"number"},"hitgroup_leftarm":{"type":"number"},"hitgroup_leftleg":{"type":"number"},"hitgroup_stomach":{"type":"number"},"hitgroup_rightarm":{"type":"number"},"hitgroup_rightleg":{"type":"number"},"_ab_cdc_deleted_at":{"type":"string"},"_ab_cdc_updated_at":{"type":"string"},"user_server_stats_id":{"type":"number"}}},supportedSyncModes=[full_refresh, incremental],sourceDefinedCursor=true,defaultCursorField=[],sourceDefinedPrimaryKey=[[id]],namespace=<null>,additionalProperties={}],syncMode=incremental,cursorField=[],destinationSyncMode=append_dedup,primaryKey=[[id]],additionalProperties={}], io.airbyte.protocol.models.ConfiguredAirbyteStream@1ebfccbc[stream=io.airbyte.protocol.models.AirbyteStream@748e61d[name=user_training_v2_level_segment_unit_start_sessions,jsonSchema={"type":"object","properties":{"id":{"type":"number"},"server_ip":{"type":"string"},"inserted_date":{"type":"string"},"_ab_cdc_log_pos":{"type":"number"},"_ab_cdc_log_file":{"type":"string"},"_ab_cdc_deleted_at":{"type":"string"},"_ab_cdc_updated_at":{"type":"string"},"user_training_v2_level_segment_unit_id":{"type":"number"}}},supportedSyncModes=[full_refresh, incremental],sourceDefinedCursor=true,defaultCursorField=[],sourceDefinedPrimaryKey=[[id]],namespace=<null>,additionalProperties={}],syncMode=incremental,cursorField=[],destinationSyncMode=append_dedup,primaryKey=[[id]],additionalProperties={}], io.airbyte.protocol.models.ConfiguredAirbyteStream@54a91e56[stream=io.airbyte.protocol.models.AirbyteStream@75fdbef5[name=user_training_v2_level_segment_unit_stats,jsonSchema={"type":"object","properties":{"id":{"type":"number"},"map":{"type":"string"},"kills":{"type":"number"},"deaths":{"type":"number"},"assists":{"type":"number"},"kills_hs":{"type":"number"},"inserted_date":{"type":"string"},"play_time_in_s":{"type":"number"},"_ab_cdc_log_pos":{"type":"number"},"_ab_cdc_log_file":{"type":"string"},"_ab_cdc_deleted_at":{"type":"string"},"_ab_cdc_updated_at":{"type":"string"},"user_training_v2_level_segment_unit_id":{"type":"number"}}},supportedSyncModes=[full_refresh, incremental],sourceDefinedCursor=true,defaultCursorField=[],sourceDefinedPrimaryKey=[[id]],namespace=<null>,additionalProperties={}],syncMode=incremental,cursorField=[],destinationSyncMode=append_dedup,primaryKey=[[id]],additionalProperties={}], io.airbyte.protocol.models.ConfiguredAirbyteStream@15c746da[stream=io.airbyte.protocol.models.AirbyteStream@55ff2271[name=user_training_v2_level_segment_units,jsonSchema={"type":"object","properties":{"id":{"type":"number"},"goal":{"type":"number"},"name":{"type":"string"},"status":{"type":"string"},"goal_type":{"type":"string"},"started_date":{"type":"string"},"completed_date":{"type":"string"},"_ab_cdc_log_pos":{"type":"number"},"message_variant":{"type":"number"},"_ab_cdc_log_file":{"type":"string"},"current_progress":{"type":"number"},"manual_completed":{"type":"boolean"},"_ab_cdc_deleted_at":{"type":"string"},"_ab_cdc_updated_at":{"type":"string"},"user_training_v2_level_segment_id":{"type":"number"}}},supportedSyncModes=[full_refresh, incremental],sourceDefinedCursor=true,defaultCursorField=[],sourceDefinedPrimaryKey=[[id]],namespace=<null>,additionalProperties={}],syncMode=incremental,cursorField=[],destinationSyncMode=append_dedup,primaryKey=[[id]],additionalProperties={}], io.airbyte.protocol.models.ConfiguredAirbyteStream@4938cd36[stream=io.airbyte.protocol.models.AirbyteStream@51aad8f2[name=user_training_v2_level_segments,jsonSchema={"type":"object","properties":{"id":{"type":"number"},"name":{"type":"string"},"is_done":{"type":"boolean"},"_ab_cdc_log_pos":{"type":"number"},"_ab_cdc_log_file":{"type":"string"},"current_progress":{"type":"number"},"_ab_cdc_deleted_at":{"type":"string"},"_ab_cdc_updated_at":{"type":"string"},"user_training_v2_level_id":{"type":"number"},"user_training_stats_per_level_id":{"type":"number"}}},supportedSyncModes=[full_refresh, incremental],sourceDefinedCursor=true,defaultCursorField=[],sourceDefinedPrimaryKey=[[id]],namespace=<null>,additionalProperties={}],syncMode=incremental,cursorField=[],destinationSyncMode=append_dedup,primaryKey=[[id]],additionalProperties={}], io.airbyte.protocol.models.ConfiguredAirbyteStream@7ef4a58b[stream=io.airbyte.protocol.models.AirbyteStream@5234ec8e[name=user_training_v2_levels,jsonSchema={"type":"object","properties":{"id":{"type":"number"},"level":{"type":"number"},"finished_date":{"type":"string"},"inserted_date":{"type":"string"},"_ab_cdc_log_pos":{"type":"number"},"current_overall":{"type":"number"},"_ab_cdc_log_file":{"type":"string"},"overall_at_start":{"type":"number"},"_ab_cdc_deleted_at":{"type":"string"},"_ab_cdc_updated_at":{"type":"string"},"user_training_v2_id":{"type":"number"}}},supportedSyncModes=[full_refresh, incremental],sourceDefinedCursor=true,defaultCursorField=[],sourceDefinedPrimaryKey=[[id]],namespace=<null>,additionalProperties={}],syncMode=incremental,cursorField=[],destinationSyncMode=append_dedup,primaryKey=[[id]],additionalProperties={}], io.airbyte.protocol.models.ConfiguredAirbyteStream@5deaca83[stream=io.airbyte.protocol.models.AirbyteStream@5a00f484[name=user_training_v2_streaks,jsonSchema={"type":"object","properties":{"id":{"type":"number"},"value":{"type":"number"},"last_update":{"type":"string"},"_ab_cdc_log_pos":{"type":"number"},"_ab_cdc_log_file":{"type":"string"},"_ab_cdc_deleted_at":{"type":"string"},"_ab_cdc_updated_at":{"type":"string"},"user_training_v2_id":{"type":"number"}}},supportedSyncModes=[full_refresh, incremental],sourceDefinedCursor=true,defaultCursorField=[],sourceDefinedPrimaryKey=[[id]],namespace=<null>,additionalProperties={}],syncMode=incremental,cursorField=[],destinationSyncMode=append_dedup,primaryKey=[[id]],additionalProperties={}], io.airbyte.protocol.models.ConfiguredAirbyteStream@103dab2[stream=io.airbyte.protocol.models.AirbyteStream@74a60680[name=user_training_v2_unit_tags,jsonSchema={"type":"object","properties":{"id":{"type":"number"},"tag":{"type":"string"},"unit_name":{"type":"string"},"_ab_cdc_log_pos":{"type":"number"},"_ab_cdc_log_file":{"type":"string"},"_ab_cdc_deleted_at":{"type":"string"},"_ab_cdc_updated_at":{"type":"string"}}},supportedSyncModes=[full_refresh, incremental],sourceDefinedCursor=true,defaultCursorField=[],sourceDefinedPrimaryKey=[[id]],namespace=<null>,additionalProperties={}],syncMode=incremental,cursorField=[],destinationSyncMode=append_dedup,primaryKey=[[id]],additionalProperties={}], io.airbyte.protocol.models.ConfiguredAirbyteStream@7f936445[stream=io.airbyte.protocol.models.AirbyteStream@226a0be7[name=users,jsonSchema={"type":"object","properties":{"id":{"type":"number"},"cid":{"type":"string"},"login":{"type":"string"},"deleted":{"type":"boolean"},"platform":{"type":"string"},"steam_id":{"type":"number"},"social_id":{"type":"string"},"xsolla_id":{"type":"string"},"steam_rank":{"type":"string"},"esportal_id":{"type":"number"},"faceit_rank":{"type":"string"},"deleted_date":{"type":"string"},"faceit_login":{"type":"string"},"mailchimp_id":{"type":"string"},"esportal_rank":{"type":"string"},"private_steam":{"type":"boolean"},"registered_at":{"type":"string"},"private_faceit":{"type":"boolean"},"private_upload":{"type":"boolean"},"_ab_cdc_log_pos":{"type":"number"},"faceit_steam_id":{"type":"number"},"is_trial_active":{"type":"boolean"},"private_account":{"type":"boolean"},"_ab_cdc_log_file":{"type":"string"},"faceit_player_id":{"type":"string"},"private_esportal":{"type":"boolean"},"esportal_steam_id":{"type":"number"},"esportal_username":{"type":"string"},"_ab_cdc_deleted_at":{"type":"string"},"_ab_cdc_updated_at":{"type":"string"},"affiliation_program":{"type":"string"},"pro_status_valid_date":{"type":"string"},"last_session_timestamp":{"type":"string"},"faceit_last_known_match":{"type":"string"},"esportal_last_known_match":{"type":"string"},"steam_authentication_code":{"type":"string"},"steam_last_known_match_share_token":{"type":"string"}}},supportedSyncModes=[full_refresh, incremental],sourceDefinedCursor=true,defaultCursorField=[],sourceDefinedPrimaryKey=[[id]],namespace=<null>,additionalProperties={}],syncMode=incremental,cursorField=[],destinationSyncMode=append_dedup,primaryKey=[[id]],additionalProperties={}]],additionalProperties={}],failures=[io.airbyte.config.FailureReason@3d238352[failureOrigin=source,failureType=<null>,internalMessage=io.airbyte.workers.general.DefaultReplicationWorker$SourceException: Source cannot be stopped!,externalMessage=Something went wrong within the source connector,metadata=io.airbyte.config.Metadata@79f51070[additionalProperties={attemptNumber=0, jobId=18}],stacktrace=java.util.concurrent.CompletionException: io.airbyte.workers.general.DefaultReplicationWorker$SourceException: Source cannot be stopped!
	at java.base/java.util.concurrent.CompletableFuture.encodeThrowable(CompletableFuture.java:315)
	at java.base/java.util.concurrent.CompletableFuture.completeThrowable(CompletableFuture.java:320)
	at java.base/java.util.concurrent.CompletableFuture$AsyncRun.run(CompletableFuture.java:1807)
	at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1136)
	at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:635)
	at java.base/java.lang.Thread.run(Thread.java:833)
Caused by: io.airbyte.workers.general.DefaultReplicationWorker$SourceException: Source cannot be stopped!
	at io.airbyte.workers.general.DefaultReplicationWorker.lambda$getReplicationRunnable$6(DefaultReplicationWorker.java:351)
	at java.base/java.util.concurrent.CompletableFuture$AsyncRun.run(CompletableFuture.java:1804)
	... 3 more
Caused by: io.airbyte.workers.exception.WorkerException: Source process exit with code 1. This warning is normal if the job was cancelled.
	at io.airbyte.workers.internal.DefaultAirbyteSource.close(DefaultAirbyteSource.java:136)
	at io.airbyte.workers.general.DefaultReplicationWorker.lambda$getReplicationRunnable$6(DefaultReplicationWorker.java:349)
	... 4 more
,retryable=<null>,timestamp=1654617783022], io.airbyte.config.FailureReason@1d20e247[failureOrigin=replication,failureType=<null>,internalMessage=java.lang.RuntimeException: java.io.UncheckedIOException: java.io.IOException: Stream closed,externalMessage=Something went wrong during replication,metadata=io.airbyte.config.Metadata@6fe7e737[additionalProperties={attemptNumber=0, jobId=18}],stacktrace=java.util.concurrent.CompletionException: java.lang.RuntimeException: java.io.UncheckedIOException: java.io.IOException: Stream closed
	at java.base/java.util.concurrent.CompletableFuture.encodeThrowable(CompletableFuture.java:315)
	at java.base/java.util.concurrent.CompletableFuture.completeThrowable(CompletableFuture.java:320)
	at java.base/java.util.concurrent.CompletableFuture$AsyncRun.run(CompletableFuture.java:1807)
	at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1136)
	at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:635)
	at java.base/java.lang.Thread.run(Thread.java:833)
Caused by: java.lang.RuntimeException: java.io.UncheckedIOException: java.io.IOException: Stream closed
	at io.airbyte.workers.general.DefaultReplicationWorker.lambda$getDestinationOutputRunnable$7(DefaultReplicationWorker.java:423)
	at java.base/java.util.concurrent.CompletableFuture$AsyncRun.run(CompletableFuture.java:1804)
	... 3 more
Caused by: java.io.UncheckedIOException: java.io.IOException: Stream closed
	at java.base/java.io.BufferedReader$1.hasNext(BufferedReader.java:574)
	at java.base/java.util.Spliterators$IteratorSpliterator.tryAdvance(Spliterators.java:1855)
	at java.base/java.util.stream.StreamSpliterators$WrappingSpliterator.lambda$initPartialTraversalState$0(StreamSpliterators.java:292)
	at java.base/java.util.stream.StreamSpliterators$AbstractWrappingSpliterator.fillBuffer(StreamSpliterators.java:206)
	at java.base/java.util.stream.StreamSpliterators$AbstractWrappingSpliterator.doAdvance(StreamSpliterators.java:161)
	at java.base/java.util.stream.StreamSpliterators$WrappingSpliterator.tryAdvance(StreamSpliterators.java:298)
	at java.base/java.util.Spliterators$1Adapter.hasNext(Spliterators.java:681)
	at io.airbyte.workers.internal.DefaultAirbyteDestination.isFinished(DefaultAirbyteDestination.java:141)
	at io.airbyte.workers.general.DefaultReplicationWorker.lambda$getDestinationOutputRunnable$7(DefaultReplicationWorker.java:397)
	... 4 more
Caused by: java.io.IOException: Stream closed
	at java.base/java.io.BufferedInputStream.getBufIfOpen(BufferedInputStream.java:168)
	at java.base/java.io.BufferedInputStream.read(BufferedInputStream.java:334)
	at java.base/sun.nio.cs.StreamDecoder.readBytes(StreamDecoder.java:270)
	at java.base/sun.nio.cs.StreamDecoder.implRead(StreamDecoder.java:313)
	at java.base/sun.nio.cs.StreamDecoder.read(StreamDecoder.java:188)
	at java.base/java.io.InputStreamReader.read(InputStreamReader.java:177)
	at java.base/java.io.BufferedReader.fill(BufferedReader.java:162)
	at java.base/java.io.BufferedReader.readLine(BufferedReader.java:329)
	at java.base/java.io.BufferedReader.readLine(BufferedReader.java:396)
	at java.base/java.io.BufferedReader$1.hasNext(BufferedReader.java:571)
	... 12 more
,retryable=<null>,timestamp=1654617844569]]]
2022-06-07 16:04:04 INFO i.a.w.t.TemporalUtils(withBackgroundHeartbeat):236 - Stopping temporal heartbeating...
2022-06-07 16:04:04 INFO i.a.w.t.TemporalAttemptExecution(get):108 - Docker volume job log path: /tmp/workspace/18/0/logs.log
2022-06-07 16:04:04 INFO i.a.w.t.TemporalAttemptExecution(get):113 - Executing worker wrapper. Airbyte version: 0.39.10-alpha
2022-06-07 16:04:04 INFO i.a.w.g.DefaultNormalizationWorker(run):49 - Running normalization.
2022-06-07 16:04:04 INFO i.a.w.n.DefaultNormalizationRunner(runProcess):122 - Running with normalization version: airbyte/normalization:0.2.1
2022-06-07 16:04:04 INFO i.a.c.i.LineGobbler(voidCall):82 - Checking if airbyte/normalization:0.2.1 exists...
2022-06-07 16:04:05 INFO i.a.c.i.LineGobbler(voidCall):82 - airbyte/normalization:0.2.1 was found locally.
2022-06-07 16:04:05 INFO i.a.w.p.DockerProcessFactory(create):108 - Creating docker job ID: 18
2022-06-07 16:04:05 INFO i.a.w.p.DockerProcessFactory(create):163 - Preparing command: docker run --rm --init -i -w /data/18/0/normalize --log-driver none --name normalization-normalize-18-0-anpxb --network host -v airbyte_workspace:/data -v /tmp/airbyte_local:/local -e AIRBYTE_ROLE= -e WORKER_ENVIRONMENT=DOCKER -e AIRBYTE_VERSION=0.39.10-alpha airbyte/normalization:0.2.1 run --integration-type bigquery --config destination_config.json --catalog destination_catalog.json
2022-06-07 16:04:07 normalization > Running: transform-config --config destination_config.json --integration-type bigquery --out /data/18/0/normalize
2022-06-07 16:04:07 normalization > Namespace(config='destination_config.json', integration_type=<DestinationType.BIGQUERY: 'bigquery'>, out='/data/18/0/normalize')
2022-06-07 16:04:07 normalization > transform_bigquery
2022-06-07 16:04:07 normalization > Running: transform-catalog --integration-type bigquery --profile-config-dir /data/18/0/normalize --catalog destination_catalog.json --out /data/18/0/normalize/models/generated/ --json-column _airbyte_data
2022-06-07 16:04:08 normalization > Processing destination_catalog.json...
2022-06-07 16:04:08 normalization >   Generating airbyte_ctes/ggpredict_airbyte/challenge_maps_ab1.sql from challenge_maps
2022-06-07 16:04:08 normalization >   Generating airbyte_ctes/ggpredict_airbyte/challenge_maps_ab2.sql from challenge_maps
2022-06-07 16:04:08 normalization >   Generating airbyte_views/ggpredict_airbyte/challenge_maps_stg.sql from challenge_maps
2022-06-07 16:04:08 normalization >   Generating airbyte_incremental/scd/ggpredict_airbyte/challenge_maps_scd.sql from challenge_maps
2022-06-07 16:04:08 normalization >   Generating airbyte_incremental/ggpredict_airbyte/challenge_maps.sql from challenge_maps
2022-06-07 16:04:08 normalization >   Generating airbyte_ctes/ggpredict_airbyte/challenge_types_ab1.sql from challenge_types
2022-06-07 16:04:08 normalization >   Generating airbyte_ctes/ggpredict_airbyte/challenge_types_ab2.sql from challenge_types
2022-06-07 16:04:08 normalization >   Generating airbyte_views/ggpredict_airbyte/challenge_types_stg.sql from challenge_types
2022-06-07 16:04:08 normalization >   Generating airbyte_incremental/scd/ggpredict_airbyte/challenge_types_scd.sql from challenge_types
2022-06-07 16:04:08 normalization >   Generating airbyte_incremental/ggpredict_airbyte/challenge_types.sql from challenge_types
2022-06-07 16:04:08 normalization >   Generating airbyte_ctes/ggpredict_airbyte/challenge_weapons_ab1.sql from challenge_weapons
2022-06-07 16:04:08 normalization >   Generating airbyte_ctes/ggpredict_airbyte/challenge_weapons_ab2.sql from challenge_weapons
2022-06-07 16:04:08 normalization >   Generating airbyte_views/ggpredict_airbyte/challenge_weapons_stg.sql from challenge_weapons
2022-06-07 16:04:08 normalization >   Generating airbyte_incremental/scd/ggpredict_airbyte/challenge_weapons_scd.sql from challenge_weapons
2022-06-07 16:04:08 normalization >   Generating airbyte_incremental/ggpredict_airbyte/challenge_weapons.sql from challenge_weapons
2022-06-07 16:04:08 normalization >   Generating airbyte_ctes/ggpredict_airbyte/challenges_ab1.sql from challenges
2022-06-07 16:04:08 normalization >   Generating airbyte_ctes/ggpredict_airbyte/challenges_ab2.sql from challenges
2022-06-07 16:04:08 normalization >   Generating airbyte_views/ggpredict_airbyte/challenges_stg.sql from challenges
2022-06-07 16:04:08 normalization >   Generating airbyte_incremental/scd/ggpredict_airbyte/challenges_scd.sql from challenges
2022-06-07 16:04:08 normalization >   Generating airbyte_incremental/ggpredict_airbyte/challenges.sql from challenges
2022-06-07 16:04:08 normalization >   Generating airbyte_ctes/ggpredict_airbyte/coach_match_advanced_stats_ab1.sql from coach_match_advanced_stats
2022-06-07 16:04:08 normalization >   Generating airbyte_ctes/ggpredict_airbyte/coach_match_advanced_stats_ab2.sql from coach_match_advanced_stats
2022-06-07 16:04:08 normalization >   Generating airbyte_views/ggpredict_airbyte/coach_match_advanced_stats_stg.sql from coach_match_advanced_stats
2022-06-07 16:04:08 normalization >   Generating airbyte_incremental/scd/ggpredict_airbyte/coach_match_advanced_stats_scd.sql from coach_match_advanced_stats
2022-06-07 16:04:08 normalization >   Generating airbyte_incremental/ggpredict_airbyte/coach_match_advanced_stats.sql from coach_match_advanced_stats
2022-06-07 16:04:08 normalization >   Generating airbyte_ctes/ggpredict_airbyte/coach_match_advanced_stats_v2_ab1.sql from coach_match_advanced_stats_v2
2022-06-07 16:04:08 normalization >   Generating airbyte_ctes/ggpredict_airbyte/coach_match_advanced_stats_v2_ab2.sql from coach_match_advanced_stats_v2
2022-06-07 16:04:08 normalization >   Generating airbyte_views/ggpredict_airbyte/coach_match_advanced_stats_v2_stg.sql from coach_match_advanced_stats_v2
2022-06-07 16:04:08 normalization >   Generating airbyte_incremental/scd/ggpredict_airbyte/coach_match_advanced_stats_v2_scd.sql from coach_match_advanced_stats_v2
2022-06-07 16:04:08 normalization >   Generating airbyte_incremental/ggpredict_airbyte/coach_match_advanced_stats_v2.sql from coach_match_advanced_stats_v2
2022-06-07 16:04:08 normalization >   Generating airbyte_ctes/ggpredict_airbyte/coach_match_lineups_ab1.sql from coach_match_lineups
2022-06-07 16:04:08 normalization >   Generating airbyte_ctes/ggpredict_airbyte/coach_match_lineups_ab2.sql from coach_match_lineups
2022-06-07 16:04:08 normalization >   Generating airbyte_views/ggpredict_airbyte/coach_match_lineups_stg.sql from coach_match_lineups
2022-06-07 16:04:08 normalization >   Generating airbyte_incremental/scd/ggpredict_airbyte/coach_match_lineups_scd.sql from coach_match_lineups
2022-06-07 16:04:08 normalization >   Generating airbyte_incremental/ggpredict_airbyte/coach_match_lineups.sql from coach_match_lineups
2022-06-07 16:04:08 normalization >   Generating airbyte_ctes/ggpredict_airbyte/coach_match_missplays_in_rounds_ab1.sql from coach_match_missplays_in_rounds
2022-06-07 16:04:08 normalization >   Generating airbyte_ctes/ggpredict_airbyte/coach_match_missplays_in_rounds_ab2.sql from coach_match_missplays_in_rounds
2022-06-07 16:04:08 normalization >   Generating airbyte_views/ggpredict_airbyte/coach_match_missplays_in_rounds_stg.sql from coach_match_missplays_in_rounds
2022-06-07 16:04:08 normalization >   Generating airbyte_incremental/scd/ggpredict_airbyte/coach_match_missplays_in_rounds_scd.sql from coach_match_missplays_in_rounds
2022-06-07 16:04:08 normalization >   Generating airbyte_incremental/ggpredict_airbyte/coach_match_missplays_in_rounds.sql from coach_match_missplays_in_rounds
2022-06-07 16:04:08 normalization >   Generating airbyte_ctes/ggpredict_airbyte/coach_match_sub_stats_ab1.sql from coach_match_sub_stats
2022-06-07 16:04:08 normalization >   Generating airbyte_ctes/ggpredict_airbyte/coach_match_sub_stats_ab2.sql from coach_match_sub_stats
2022-06-07 16:04:08 normalization >   Generating airbyte_views/ggpredict_airbyte/coach_match_sub_stats_stg.sql from coach_match_sub_stats
2022-06-07 16:04:08 normalization >   Generating airbyte_incremental/scd/ggpredict_airbyte/coach_match_sub_stats_scd.sql from coach_match_sub_stats
2022-06-07 16:04:08 normalization >   Generating airbyte_incremental/ggpredict_airbyte/coach_match_sub_stats.sql from coach_match_sub_stats
2022-06-07 16:04:08 normalization >   Generating airbyte_ctes/ggpredict_airbyte/coach_match_sub_stats_v2_ab1.sql from coach_match_sub_stats_v2
2022-06-07 16:04:08 normalization >   Generating airbyte_ctes/ggpredict_airbyte/coach_match_sub_stats_v2_ab2.sql from coach_match_sub_stats_v2
2022-06-07 16:04:08 normalization >   Generating airbyte_views/ggpredict_airbyte/coach_match_sub_stats_v2_stg.sql from coach_match_sub_stats_v2
2022-06-07 16:04:08 normalization >   Generating airbyte_incremental/scd/ggpredict_airbyte/coach_match_sub_stats_v2_scd.sql from coach_match_sub_stats_v2
2022-06-07 16:04:08 normalization >   Generating airbyte_incremental/ggpredict_airbyte/coach_match_sub_stats_v2.sql from coach_match_sub_stats_v2
2022-06-07 16:04:08 normalization >   Generating airbyte_ctes/ggpredict_airbyte/coach_matches_ab1.sql from coach_matches
2022-06-07 16:04:08 normalization >   Generating airbyte_ctes/ggpredict_airbyte/coach_matches_ab2.sql from coach_matches
2022-06-07 16:04:08 normalization >   Generating airbyte_views/ggpredict_airbyte/coach_matches_stg.sql from coach_matches
2022-06-07 16:04:08 normalization >   Generating airbyte_incremental/scd/ggpredict_airbyte/coach_matches_scd.sql from coach_matches
2022-06-07 16:04:08 normalization >   Generating airbyte_incremental/ggpredict_airbyte/coach_matches.sql from coach_matches
2022-06-07 16:04:08 normalization >   Generating airbyte_ctes/ggpredict_airbyte/coach_players_ab1.sql from coach_players
2022-06-07 16:04:08 normalization >   Generating airbyte_ctes/ggpredict_airbyte/coach_players_ab2.sql from coach_players
2022-06-07 16:04:08 normalization >   Generating airbyte_views/ggpredict_airbyte/coach_players_stg.sql from coach_players
2022-06-07 16:04:08 normalization >   Generating airbyte_incremental/scd/ggpredict_airbyte/coach_players_scd.sql from coach_players
2022-06-07 16:04:08 normalization >   Generating airbyte_incremental/ggpredict_airbyte/coach_players.sql from coach_players
2022-06-07 16:04:08 normalization >   Generating airbyte_ctes/ggpredict_airbyte/missplays_ab1.sql from missplays
2022-06-07 16:04:08 normalization >   Generating airbyte_ctes/ggpredict_airbyte/missplays_ab2.sql from missplays
2022-06-07 16:04:08 normalization >   Generating airbyte_views/ggpredict_airbyte/missplays_stg.sql from missplays
2022-06-07 16:04:08 normalization >   Generating airbyte_incremental/scd/ggpredict_airbyte/missplays_scd.sql from missplays
2022-06-07 16:04:08 normalization >   Generating airbyte_incremental/ggpredict_airbyte/missplays.sql from missplays
2022-06-07 16:04:08 normalization >   Generating airbyte_ctes/ggpredict_airbyte/user_challenges_ab1.sql from user_challenges
2022-06-07 16:04:08 normalization >   Generating airbyte_ctes/ggpredict_airbyte/user_challenges_ab2.sql from user_challenges
2022-06-07 16:04:08 normalization >   Generating airbyte_views/ggpredict_airbyte/user_challenges_stg.sql from user_challenges
2022-06-07 16:04:08 normalization >   Generating airbyte_incremental/scd/ggpredict_airbyte/user_challenges_scd.sql from user_challenges
2022-06-07 16:04:08 normalization >   Generating airbyte_incremental/ggpredict_airbyte/user_challenges.sql from user_challenges
2022-06-07 16:04:08 normalization >   Generating airbyte_ctes/ggpredict_airbyte/user_matches_ab1.sql from user_matches
2022-06-07 16:04:08 normalization >   Generating airbyte_ctes/ggpredict_airbyte/user_matches_ab2.sql from user_matches
2022-06-07 16:04:08 normalization >   Generating airbyte_views/ggpredict_airbyte/user_matches_stg.sql from user_matches
2022-06-07 16:04:08 normalization >   Generating airbyte_incremental/scd/ggpredict_airbyte/user_matches_scd.sql from user_matches
2022-06-07 16:04:08 normalization >   Generating airbyte_incremental/ggpredict_airbyte/user_matches.sql from user_matches
2022-06-07 16:04:08 normalization >   Generating airbyte_ctes/ggpredict_airbyte/user_server_live_stats_ab1.sql from user_server_live_stats
2022-06-07 16:04:08 normalization >   Generating airbyte_ctes/ggpredict_airbyte/user_server_live_stats_ab2.sql from user_server_live_stats
2022-06-07 16:04:08 normalization >   Generating airbyte_views/ggpredict_airbyte/user_server_live_stats_stg.sql from user_server_live_stats
2022-06-07 16:04:08 normalization >   Generating airbyte_incremental/scd/ggpredict_airbyte/user_server_live_stats_scd.sql from user_server_live_stats
2022-06-07 16:04:08 normalization >   Generating airbyte_incremental/ggpredict_airbyte/user_server_live_stats.sql from user_server_live_stats
2022-06-07 16:04:08 normalization >   Generating airbyte_ctes/ggpredict_airbyte/user_server_stats_ab1.sql from user_server_stats
2022-06-07 16:04:08 normalization >   Generating airbyte_ctes/ggpredict_airbyte/user_server_stats_ab2.sql from user_server_stats
2022-06-07 16:04:08 normalization >   Generating airbyte_views/ggpredict_airbyte/user_server_stats_stg.sql from user_server_stats
2022-06-07 16:04:09 normalization >   Generating airbyte_incremental/scd/ggpredict_airbyte/user_server_stats_scd.sql from user_server_stats
2022-06-07 16:04:09 normalization >   Generating airbyte_incremental/ggpredict_airbyte/user_server_stats.sql from user_server_stats
2022-06-07 16:04:09 normalization >   Generating airbyte_ctes/ggpredict_airbyte/user_server_weapon_stats_ab1.sql from user_server_weapon_stats
2022-06-07 16:04:09 normalization >   Generating airbyte_ctes/ggpredict_airbyte/user_server_weapon_stats_ab2.sql from user_server_weapon_stats
2022-06-07 16:04:09 normalization >   Generating airbyte_views/ggpredict_airbyte/user_server_weapon_stats_stg.sql from user_server_weapon_stats
2022-06-07 16:04:09 normalization >   Generating airbyte_incremental/scd/ggpredict_airbyte/user_server_weapon_stats_scd.sql from user_server_weapon_stats
2022-06-07 16:04:09 normalization >   Generating airbyte_incremental/ggpredict_airbyte/user_server_weapon_stats.sql from user_server_weapon_stats
2022-06-07 16:04:09 normalization >   Generating airbyte_ctes/ggpredict_airbyte/user_training_v2_level_segment_unit_start_sessions_ab1.sql from user_training_v2_level_segment_unit_start_sessions
2022-06-07 16:04:09 normalization >   Generating airbyte_ctes/ggpredict_airbyte/user_training_v2_level_segment_unit_start_sessions_ab2.sql from user_training_v2_level_segment_unit_start_sessions
2022-06-07 16:04:09 normalization >   Generating airbyte_views/ggpredict_airbyte/user_training_v2_level_segment_unit_start_sessions_stg.sql from user_training_v2_level_segment_unit_start_sessions
2022-06-07 16:04:09 normalization >   Generating airbyte_incremental/scd/ggpredict_airbyte/user_training_v2_level_segment_unit_start_sessions_scd.sql from user_training_v2_level_segment_unit_start_sessions
2022-06-07 16:04:09 normalization >   Generating airbyte_incremental/ggpredict_airbyte/user_training_v2_level_segment_unit_start_sessions.sql from user_training_v2_level_segment_unit_start_sessions
2022-06-07 16:04:09 normalization >   Generating airbyte_ctes/ggpredict_airbyte/user_training_v2_level_segment_unit_stats_ab1.sql from user_training_v2_level_segment_unit_stats
2022-06-07 16:04:09 normalization >   Generating airbyte_ctes/ggpredict_airbyte/user_training_v2_level_segment_unit_stats_ab2.sql from user_training_v2_level_segment_unit_stats
2022-06-07 16:04:09 normalization >   Generating airbyte_views/ggpredict_airbyte/user_training_v2_level_segment_unit_stats_stg.sql from user_training_v2_level_segment_unit_stats
2022-06-07 16:04:09 normalization >   Generating airbyte_incremental/scd/ggpredict_airbyte/user_training_v2_level_segment_unit_stats_scd.sql from user_training_v2_level_segment_unit_stats
2022-06-07 16:04:09 normalization >   Generating airbyte_incremental/ggpredict_airbyte/user_training_v2_level_segment_unit_stats.sql from user_training_v2_level_segment_unit_stats
2022-06-07 16:04:09 normalization >   Generating airbyte_ctes/ggpredict_airbyte/user_training_v2_level_segment_units_ab1.sql from user_training_v2_level_segment_units
2022-06-07 16:04:09 normalization >   Generating airbyte_ctes/ggpredict_airbyte/user_training_v2_level_segment_units_ab2.sql from user_training_v2_level_segment_units
2022-06-07 16:04:09 normalization >   Generating airbyte_views/ggpredict_airbyte/user_training_v2_level_segment_units_stg.sql from user_training_v2_level_segment_units
2022-06-07 16:04:09 normalization >   Generating airbyte_incremental/scd/ggpredict_airbyte/user_training_v2_level_segment_units_scd.sql from user_training_v2_level_segment_units
2022-06-07 16:04:09 normalization >   Generating airbyte_incremental/ggpredict_airbyte/user_training_v2_level_segment_units.sql from user_training_v2_level_segment_units
2022-06-07 16:04:09 normalization >   Generating airbyte_ctes/ggpredict_airbyte/user_training_v2_level_segments_ab1.sql from user_training_v2_level_segments
2022-06-07 16:04:09 normalization >   Generating airbyte_ctes/ggpredict_airbyte/user_training_v2_level_segments_ab2.sql from user_training_v2_level_segments
2022-06-07 16:04:09 normalization >   Generating airbyte_views/ggpredict_airbyte/user_training_v2_level_segments_stg.sql from user_training_v2_level_segments
2022-06-07 16:04:09 normalization >   Generating airbyte_incremental/scd/ggpredict_airbyte/user_training_v2_level_segments_scd.sql from user_training_v2_level_segments
2022-06-07 16:04:09 normalization >   Generating airbyte_incremental/ggpredict_airbyte/user_training_v2_level_segments.sql from user_training_v2_level_segments
2022-06-07 16:04:09 normalization >   Generating airbyte_ctes/ggpredict_airbyte/user_training_v2_levels_ab1.sql from user_training_v2_levels
2022-06-07 16:04:09 normalization >   Generating airbyte_ctes/ggpredict_airbyte/user_training_v2_levels_ab2.sql from user_training_v2_levels
2022-06-07 16:04:09 normalization >   Generating airbyte_views/ggpredict_airbyte/user_training_v2_levels_stg.sql from user_training_v2_levels
2022-06-07 16:04:09 normalization >   Generating airbyte_incremental/scd/ggpredict_airbyte/user_training_v2_levels_scd.sql from user_training_v2_levels
2022-06-07 16:04:09 normalization >   Generating airbyte_incremental/ggpredict_airbyte/user_training_v2_levels.sql from user_training_v2_levels
2022-06-07 16:04:09 normalization >   Generating airbyte_ctes/ggpredict_airbyte/user_training_v2_streaks_ab1.sql from user_training_v2_streaks
2022-06-07 16:04:09 normalization >   Generating airbyte_ctes/ggpredict_airbyte/user_training_v2_streaks_ab2.sql from user_training_v2_streaks
2022-06-07 16:04:09 normalization >   Generating airbyte_views/ggpredict_airbyte/user_training_v2_streaks_stg.sql from user_training_v2_streaks
2022-06-07 16:04:09 normalization >   Generating airbyte_incremental/scd/ggpredict_airbyte/user_training_v2_streaks_scd.sql from user_training_v2_streaks
2022-06-07 16:04:09 normalization >   Generating airbyte_incremental/ggpredict_airbyte/user_training_v2_streaks.sql from user_training_v2_streaks
2022-06-07 16:04:09 normalization >   Generating airbyte_ctes/ggpredict_airbyte/user_training_v2_unit_tags_ab1.sql from user_training_v2_unit_tags
2022-06-07 16:04:09 normalization >   Generating airbyte_ctes/ggpredict_airbyte/user_training_v2_unit_tags_ab2.sql from user_training_v2_unit_tags
2022-06-07 16:04:09 normalization >   Generating airbyte_views/ggpredict_airbyte/user_training_v2_unit_tags_stg.sql from user_training_v2_unit_tags
2022-06-07 16:04:09 normalization >   Generating airbyte_incremental/scd/ggpredict_airbyte/user_training_v2_unit_tags_scd.sql from user_training_v2_unit_tags
2022-06-07 16:04:09 normalization >   Generating airbyte_incremental/ggpredict_airbyte/user_training_v2_unit_tags.sql from user_training_v2_unit_tags
2022-06-07 16:04:09 normalization >   Generating airbyte_ctes/ggpredict_airbyte/users_ab1.sql from users
2022-06-07 16:04:09 normalization >   Generating airbyte_ctes/ggpredict_airbyte/users_ab2.sql from users
2022-06-07 16:04:09 normalization >   Generating airbyte_views/ggpredict_airbyte/users_stg.sql from users
2022-06-07 16:04:09 normalization >   Generating airbyte_incremental/scd/ggpredict_airbyte/users_scd.sql from users
2022-06-07 16:04:09 normalization >   Generating airbyte_incremental/ggpredict_airbyte/users.sql from users
2022-06-07 16:04:09 normalization > detected no config file for ssh, assuming ssh is off.
2022-06-07 16:04:12 normalization >            [--event-buffer-size EVENT_BUFFER_SIZE]
2022-06-07 16:04:12 normalization >   --event-buffer-size EVENT_BUFFER_SIZE
2022-06-07 16:04:12 normalization > 
2022-06-07 16:04:12 normalization > DBT >=1.0.0 detected; using 10K event buffer size
2022-06-07 16:04:12 normalization > 
2022-06-07 16:04:15 normalization > 16:04:15  Running with dbt=1.0.0
2022-06-07 16:04:15 normalization > 16:04:15  Partial parse save file not found. Starting full parse.
2022-06-07 16:04:19 normalization > 16:04:19  [WARNING]: Configuration paths exist in your dbt_project.yml file which do not apply to any resources.
2022-06-07 16:04:19 normalization > There are 1 unused configuration paths:
2022-06-07 16:04:19 normalization > - models.airbyte_utils.generated.airbyte_tables
2022-06-07 16:04:19 normalization > 
2022-06-07 16:04:19 normalization > 16:04:19  Found 130 models, 0 tests, 0 snapshots, 0 analyses, 544 macros, 0 operations, 0 seed files, 26 sources, 0 exposures, 0 metrics
2022-06-07 16:04:19 normalization > 16:04:19  
2022-06-07 16:04:22 normalization > 16:04:22  Concurrency: 8 threads (target='prod')
2022-06-07 16:04:22 normalization > 16:04:22  
2022-06-07 16:04:25 normalization > 16:04:25  1 of 78 START view model _airbyte_ggpredict_airbyte.challenge_maps_stg.................................................. [RUN]
2022-06-07 16:04:25 normalization > 16:04:25  2 of 78 START view model _airbyte_ggpredict_airbyte.challenges_stg...................................................... [RUN]
2022-06-07 16:04:25 normalization > 16:04:25  3 of 78 START view model _airbyte_ggpredict_airbyte.challenge_types_stg................................................. [RUN]
2022-06-07 16:04:25 normalization > 16:04:25  4 of 78 START view model _airbyte_ggpredict_airbyte.coach_match_advanced_stats_stg...................................... [RUN]
2022-06-07 16:04:25 normalization > 16:04:25  5 of 78 START view model _airbyte_ggpredict_airbyte.challenge_weapons_stg............................................... [RUN]
2022-06-07 16:04:25 normalization > 16:04:25  6 of 78 START view model _airbyte_ggpredict_airbyte.coach_match_advanced_stats_v2_stg................................... [RUN]
2022-06-07 16:04:25 normalization > 16:04:25  7 of 78 START view model _airbyte_ggpredict_airbyte.coach_match_missplays_in_rounds_stg................................. [RUN]
2022-06-07 16:04:25 normalization > 16:04:25  8 of 78 START view model _airbyte_ggpredict_airbyte.coach_match_sub_stats_v2_stg........................................ [RUN]
2022-06-07 16:04:26 normalization > 16:04:26  2 of 78 ERROR creating view model _airbyte_ggpredict_airbyte.challenges_stg............................................. [ERROR in 0.96s]
2022-06-07 16:04:26 normalization > 16:04:26  9 of 78 START view model _airbyte_ggpredict_airbyte.coach_match_sub_stats_stg........................................... [RUN]
2022-06-07 16:04:26 normalization > 16:04:26  6 of 78 ERROR creating view model _airbyte_ggpredict_airbyte.coach_match_advanced_stats_v2_stg.......................... [ERROR in 0.78s]
2022-06-07 16:04:26 normalization > 16:04:26  10 of 78 START view model _airbyte_ggpredict_airbyte.coach_players_stg.................................................. [RUN]
2022-06-07 16:04:26 normalization > 16:04:26  4 of 78 OK created view model _airbyte_ggpredict_airbyte.coach_match_advanced_stats_stg................................. [OK in 1.42s]
2022-06-07 16:04:26 normalization > 16:04:26  11 of 78 START view model _airbyte_ggpredict_airbyte.coach_matches_stg.................................................. [RUN]
2022-06-07 16:04:26 normalization > 16:04:26  8 of 78 OK created view model _airbyte_ggpredict_airbyte.coach_match_sub_stats_v2_stg................................... [OK in 1.09s]
2022-06-07 16:04:26 normalization > 16:04:26  12 of 78 START view model _airbyte_ggpredict_airbyte.missplays_stg...................................................... [RUN]
2022-06-07 16:04:26 normalization > 16:04:26  7 of 78 OK created view model _airbyte_ggpredict_airbyte.coach_match_missplays_in_rounds_stg............................ [OK in 1.16s]
2022-06-07 16:04:26 normalization > 16:04:26  13 of 78 START view model _airbyte_ggpredict_airbyte.user_challenges_stg................................................ [RUN]
2022-06-07 16:04:26 normalization > 16:04:26  5 of 78 OK created view model _airbyte_ggpredict_airbyte.challenge_weapons_stg.......................................... [OK in 1.31s]
2022-06-07 16:04:26 normalization > 16:04:26  3 of 78 OK created view model _airbyte_ggpredict_airbyte.challenge_types_stg............................................ [OK in 1.65s]
2022-06-07 16:04:26 normalization > 16:04:26  1 of 78 OK created view model _airbyte_ggpredict_airbyte.challenge_maps_stg............................................. [OK in 1.72s]
2022-06-07 16:04:26 normalization > 16:04:26  14 of 78 START view model _airbyte_ggpredict_airbyte.coach_match_lineups_stg............................................ [RUN]
2022-06-07 16:04:26 normalization > 16:04:26  15 of 78 START view model _airbyte_ggpredict_airbyte.user_matches_stg................................................... [RUN]
2022-06-07 16:04:26 normalization > 16:04:26  16 of 78 START view model _airbyte_ggpredict_airbyte.user_server_live_stats_stg......................................... [RUN]
2022-06-07 16:04:27 normalization > 16:04:27  9 of 78 OK created view model _airbyte_ggpredict_airbyte.coach_match_sub_stats_stg...................................... [OK in 1.02s]
2022-06-07 16:04:27 normalization > 16:04:27  10 of 78 OK created view model _airbyte_ggpredict_airbyte.coach_players_stg............................................. [OK in 1.13s]
2022-06-07 16:04:27 normalization > 16:04:27  17 of 78 START view model _airbyte_ggpredict_airbyte.user_server_stats_stg.............................................. [RUN]
2022-06-07 16:04:27 normalization > 16:04:27  12 of 78 OK created view model _airbyte_ggpredict_airbyte.missplays_stg................................................. [OK in 1.04s]
2022-06-07 16:04:27 normalization > 16:04:27  11 of 78 OK created view model _airbyte_ggpredict_airbyte.coach_matches_stg............................................. [OK in 1.16s]
2022-06-07 16:04:27 normalization > 16:04:27  18 of 78 START view model _airbyte_ggpredict_airbyte.user_training_v2_level_segment_unit_start_sessions_stg............. [RUN]
2022-06-07 16:04:27 normalization > 16:04:27  19 of 78 START view model _airbyte_ggpredict_airbyte.user_server_weapon_stats_stg....................................... [RUN]
2022-06-07 16:04:27 normalization > 16:04:27  20 of 78 START view model _airbyte_ggpredict_airbyte.user_training_v2_level_segment_unit_stats_stg...................... [RUN]
2022-06-07 16:04:28 normalization > 16:04:28  13 of 78 OK created view model _airbyte_ggpredict_airbyte.user_challenges_stg........................................... [OK in 1.31s]
2022-06-07 16:04:28 normalization > 16:04:28  21 of 78 START view model _airbyte_ggpredict_airbyte.user_training_v2_level_segment_units_stg........................... [RUN]
2022-06-07 16:04:28 normalization > 16:04:28  17 of 78 ERROR creating view model _airbyte_ggpredict_airbyte.user_server_stats_stg..................................... [ERROR in 0.81s]
2022-06-07 16:04:28 normalization > 16:04:28  22 of 78 START view model _airbyte_ggpredict_airbyte.user_training_v2_level_segments_stg................................ [RUN]
2022-06-07 16:04:28 normalization > 16:04:28  14 of 78 ERROR creating view model _airbyte_ggpredict_airbyte.coach_match_lineups_stg................................... [ERROR in 1.64s]
2022-06-07 16:04:28 normalization > 16:04:28  23 of 78 START view model _airbyte_ggpredict_airbyte.user_training_v2_levels_stg........................................ [RUN]
2022-06-07 16:04:28 normalization > 16:04:28  18 of 78 OK created view model _airbyte_ggpredict_airbyte.user_training_v2_level_segment_unit_start_sessions_stg........ [OK in 0.91s]
2022-06-07 16:04:28 normalization > 16:04:28  19 of 78 OK created view model _airbyte_ggpredict_airbyte.user_server_weapon_stats_stg.................................. [OK in 0.83s]
2022-06-07 16:04:28 normalization > 16:04:28  24 of 78 START view model _airbyte_ggpredict_airbyte.user_training_v2_streaks_stg....................................... [RUN]
2022-06-07 16:04:28 normalization > 16:04:28  25 of 78 START view model _airbyte_ggpredict_airbyte.user_training_v2_unit_tags_stg..................................... [RUN]
2022-06-07 16:04:28 normalization > 16:04:28  15 of 78 OK created view model _airbyte_ggpredict_airbyte.user_matches_stg.............................................. [OK in 1.91s]
2022-06-07 16:04:28 normalization > 16:04:28  26 of 78 START view model _airbyte_ggpredict_airbyte.users_stg.......................................................... [RUN]
2022-06-07 16:04:28 normalization > 16:04:28  16 of 78 OK created view model _airbyte_ggpredict_airbyte.user_server_live_stats_stg.................................... [OK in 1.93s]
2022-06-07 16:04:28 normalization > 16:04:28  27 of 78 SKIP relation ggpredict_airbyte.challenges_scd................................................................. [SKIP]
2022-06-07 16:04:28 normalization > 16:04:28  28 of 78 SKIP relation ggpredict_airbyte.coach_match_advanced_stats_v2_scd.............................................. [SKIP]
2022-06-07 16:04:28 normalization > 16:04:28  29 of 78 START incremental model ggpredict_airbyte.coach_match_advanced_stats_scd....................................... [RUN]
2022-06-07 16:04:29 normalization > 16:04:29  20 of 78 OK created view model _airbyte_ggpredict_airbyte.user_training_v2_level_segment_unit_stats_stg................. [OK in 1.18s]
2022-06-07 16:04:29 normalization > 16:04:29  30 of 78 START incremental model ggpredict_airbyte.coach_match_sub_stats_v2_scd......................................... [RUN]
2022-06-07 16:04:29 normalization > 16:04:29  21 of 78 OK created view model _airbyte_ggpredict_airbyte.user_training_v2_level_segment_units_stg...................... [OK in 0.99s]
2022-06-07 16:04:29 normalization > 16:04:29  22 of 78 OK created view model _airbyte_ggpredict_airbyte.user_training_v2_level_segments_stg........................... [OK in 0.70s]
2022-06-07 16:04:29 normalization > 16:04:29  31 of 78 START incremental model ggpredict_airbyte.coach_match_missplays_in_rounds_scd.................................. [RUN]
2022-06-07 16:04:29 normalization > 16:04:29  32 of 78 START incremental model ggpredict_airbyte.challenge_weapons_scd................................................ [RUN]
2022-06-07 16:04:29 normalization > 16:04:29  23 of 78 OK created view model _airbyte_ggpredict_airbyte.user_training_v2_levels_stg................................... [OK in 0.75s]
2022-06-07 16:04:29 normalization > 16:04:29  33 of 78 START incremental model ggpredict_airbyte.challenge_types_scd.................................................. [RUN]
2022-06-07 16:04:29 normalization > 16:04:29  16:04:29 + `segment-351212`.ggpredict_airbyte.`coach_match_advanced_stats_scd`._airbyte_ab_id does not exist yet. The table will be created or rebuilt with dbt.full_refresh
2022-06-07 16:04:29 normalization > 16:04:29  16:04:29 + `segment-351212`.ggpredict_airbyte.`coach_match_sub_stats_v2_scd`._airbyte_ab_id does not exist yet. The table will be created or rebuilt with dbt.full_refresh
2022-06-07 16:04:29 normalization > 16:04:29  16:04:29 + `segment-351212`.ggpredict_airbyte.`coach_match_missplays_in_rounds_scd`._airbyte_ab_id does not exist yet. The table will be created or rebuilt with dbt.full_refresh
2022-06-07 16:04:29 normalization > 16:04:29  16:04:29 + `segment-351212`.ggpredict_airbyte.`challenge_types_scd`._airbyte_ab_id does not exist yet. The table will be created or rebuilt with dbt.full_refresh
2022-06-07 16:04:29 normalization > 16:04:29  16:04:29 + `segment-351212`.ggpredict_airbyte.`challenge_weapons_scd`._airbyte_ab_id does not exist yet. The table will be created or rebuilt with dbt.full_refresh
2022-06-07 16:04:29 normalization > 16:04:29  26 of 78 OK created view model _airbyte_ggpredict_airbyte.users_stg..................................................... [OK in 0.86s]
2022-06-07 16:04:29 normalization > 16:04:29  34 of 78 START incremental model ggpredict_airbyte.challenge_maps_scd................................................... [RUN]
2022-06-07 16:04:29 normalization > 16:04:29  24 of 78 OK created view model _airbyte_ggpredict_airbyte.user_training_v2_streaks_stg.................................. [OK in 1.10s]
2022-06-07 16:04:29 normalization > 16:04:29  35 of 78 START incremental model ggpredict_airbyte.coach_match_sub_stats_scd............................................ [RUN]
2022-06-07 16:04:29 normalization > 16:04:29  25 of 78 OK created view model _airbyte_ggpredict_airbyte.user_training_v2_unit_tags_stg................................ [OK in 1.16s]
2022-06-07 16:04:29 normalization > 16:04:29  36 of 78 START incremental model ggpredict_airbyte.coach_players_scd.................................................... [RUN]
2022-06-07 16:04:29 normalization > 16:04:29  16:04:29 + `segment-351212`.ggpredict_airbyte.`challenge_maps_scd`._airbyte_ab_id does not exist yet. The table will be created or rebuilt with dbt.full_refresh
2022-06-07 16:04:30 normalization > 16:04:30  16:04:30 + `segment-351212`.ggpredict_airbyte.`coach_players_scd`._airbyte_ab_id does not exist yet. The table will be created or rebuilt with dbt.full_refresh
2022-06-07 16:04:30 normalization > 16:04:30  16:04:30 + `segment-351212`.ggpredict_airbyte.`coach_match_sub_stats_scd`._airbyte_ab_id does not exist yet. The table will be created or rebuilt with dbt.full_refresh
2022-06-07 16:04:32 normalization > 16:04:32  31 of 78 OK created incremental model ggpredict_airbyte.coach_match_missplays_in_rounds_scd............................. [CREATE TABLE (0.0 rows, 0 processed) in 3.01s]
2022-06-07 16:04:32 normalization > 16:04:32  37 of 78 START incremental model ggpredict_airbyte.missplays_scd........................................................ [RUN]
2022-06-07 16:04:32 normalization > 16:04:32  30 of 78 OK created incremental model ggpredict_airbyte.coach_match_sub_stats_v2_scd.................................... [CREATE TABLE (0.0 rows, 0 processed) in 3.11s]
2022-06-07 16:04:32 normalization > 16:04:32  38 of 78 START incremental model ggpredict_airbyte.coach_matches_scd.................................................... [RUN]
2022-06-07 16:04:32 normalization > 16:04:32  32 of 78 OK created incremental model ggpredict_airbyte.challenge_weapons_scd........................................... [CREATE TABLE (0.0 rows, 0 processed) in 3.27s]
2022-06-07 16:04:32 normalization > 16:04:32  39 of 78 START incremental model ggpredict_airbyte.user_challenges_scd.................................................. [RUN]
2022-06-07 16:04:32 normalization > 16:04:32  29 of 78 OK created incremental model ggpredict_airbyte.coach_match_advanced_stats_scd.................................. [CREATE TABLE (0.0 rows, 0 processed) in 3.54s]
2022-06-07 16:04:32 normalization > 16:04:32  34 of 78 OK created incremental model ggpredict_airbyte.challenge_maps_scd.............................................. [CREATE TABLE (0.0 rows, 0 processed) in 2.86s]
2022-06-07 16:04:32 normalization > 16:04:32  40 of 78 SKIP relation ggpredict_airbyte.user_server_stats_scd.......................................................... [SKIP]
2022-06-07 16:04:32 normalization > 16:04:32  41 of 78 SKIP relation ggpredict_airbyte.coach_match_lineups_scd........................................................ [SKIP]
2022-06-07 16:04:32 normalization > 16:04:32  16:04:32 + `segment-351212`.ggpredict_airbyte.`missplays_scd`._airbyte_ab_id does not exist yet. The table will be created or rebuilt with dbt.full_refresh
2022-06-07 16:04:32 normalization > 16:04:32  42 of 78 START incremental model ggpredict_airbyte.user_training_v2_level_segment_unit_start_sessions_scd............... [RUN]
2022-06-07 16:04:32 normalization > 16:04:32  43 of 78 START incremental model ggpredict_airbyte.user_server_weapon_stats_scd......................................... [RUN]
2022-06-07 16:04:32 normalization > 16:04:32  33 of 78 OK created incremental model ggpredict_airbyte.challenge_types_scd............................................. [CREATE TABLE (0.0 rows, 0 processed) in 3.26s]
2022-06-07 16:04:32 normalization > 16:04:32  44 of 78 START incremental model ggpredict_airbyte.user_matches_scd..................................................... [RUN]
2022-06-07 16:04:32 normalization > 16:04:32  16:04:32 + `segment-351212`.ggpredict_airbyte.`coach_matches_scd`._airbyte_ab_id does not exist yet. The table will be created or rebuilt with dbt.full_refresh
2022-06-07 16:04:32 normalization > 16:04:32  36 of 78 OK created incremental model ggpredict_airbyte.coach_players_scd............................................... [CREATE TABLE (0.0 rows, 0 processed) in 2.95s]
2022-06-07 16:04:32 normalization > 16:04:32  45 of 78 START incremental model ggpredict_airbyte.user_server_live_stats_scd........................................... [RUN]
2022-06-07 16:04:32 normalization > 16:04:32  16:04:32 + `segment-351212`.ggpredict_airbyte.`user_challenges_scd`._airbyte_ab_id does not exist yet. The table will be created or rebuilt with dbt.full_refresh
2022-06-07 16:04:32 normalization > 16:04:32  16:04:32 + `segment-351212`.ggpredict_airbyte.`user_training_v2_level_segment_unit_start_sessions_scd`._airbyte_ab_id does not exist yet. The table will be created or rebuilt with dbt.full_refresh
2022-06-07 16:04:32 normalization > 16:04:32  16:04:32 + `segment-351212`.ggpredict_airbyte.`user_server_weapon_stats_scd`._airbyte_ab_id does not exist yet. The table will be created or rebuilt with dbt.full_refresh
2022-06-07 16:04:32 normalization > 16:04:32  16:04:32 + `segment-351212`.ggpredict_airbyte.`user_matches_scd`._airbyte_ab_id does not exist yet. The table will be created or rebuilt with dbt.full_refresh
2022-06-07 16:04:33 normalization > 16:04:33  35 of 78 OK created incremental model ggpredict_airbyte.coach_match_sub_stats_scd....................................... [CREATE TABLE (0.0 rows, 0 processed) in 3.32s]
2022-06-07 16:04:33 normalization > 16:04:33  46 of 78 SKIP relation ggpredict_airbyte.challenges..................................................................... [SKIP]
2022-06-07 16:04:33 normalization > 16:04:33  47 of 78 SKIP relation ggpredict_airbyte.coach_match_advanced_stats_v2.................................................. [SKIP]
2022-06-07 16:04:33 normalization > 16:04:33  48 of 78 START incremental model ggpredict_airbyte.user_training_v2_level_segment_unit_stats_scd........................ [RUN]
2022-06-07 16:04:33 normalization > 16:04:33  16:04:33 + `segment-351212`.ggpredict_airbyte.`user_server_live_stats_scd`._airbyte_ab_id does not exist yet. The table will be created or rebuilt with dbt.full_refresh
2022-06-07 16:04:33 normalization > 16:04:33  16:04:33 + `segment-351212`.ggpredict_airbyte.`user_training_v2_level_segment_unit_stats_scd`._airbyte_ab_id does not exist yet. The table will be created or rebuilt with dbt.full_refresh
2022-06-07 16:04:35 normalization > 16:04:35  37 of 78 OK created incremental model ggpredict_airbyte.missplays_scd................................................... [CREATE TABLE (0.0 rows, 0 processed) in 3.04s]
2022-06-07 16:04:35 normalization > 16:04:35  49 of 78 START incremental model ggpredict_airbyte.user_training_v2_level_segment_units_scd............................. [RUN]
2022-06-07 16:04:35 normalization > 16:04:35  45 of 78 OK created incremental model ggpredict_airbyte.user_server_live_stats_scd...................................... [CREATE TABLE (0.0 rows, 0 processed) in 2.63s]
2022-06-07 16:04:35 normalization > 16:04:35  38 of 78 OK created incremental model ggpredict_airbyte.coach_matches_scd............................................... [CREATE TABLE (0.0 rows, 0 processed) in 3.24s]
2022-06-07 16:04:35 normalization > 16:04:35  50 of 78 START incremental model ggpredict_airbyte.user_training_v2_level_segments_scd.................................. [RUN]
2022-06-07 16:04:35 normalization > 16:04:35  51 of 78 START incremental model ggpredict_airbyte.user_training_v2_levels_scd.......................................... [RUN]
2022-06-07 16:04:35 normalization > 16:04:35  16:04:35 + `segment-351212`.ggpredict_airbyte.`user_training_v2_level_segment_units_scd`._airbyte_ab_id does not exist yet. The table will be created or rebuilt with dbt.full_refresh
2022-06-07 16:04:35 normalization > 16:04:35  39 of 78 OK created incremental model ggpredict_airbyte.user_challenges_scd............................................. [CREATE TABLE (0.0 rows, 0 processed) in 3.11s]
2022-06-07 16:04:35 normalization > 16:04:35  52 of 78 START incremental model ggpredict_airbyte.users_scd............................................................ [RUN]
2022-06-07 16:04:35 normalization > 16:04:35  42 of 78 OK created incremental model ggpredict_airbyte.user_training_v2_level_segment_unit_start_sessions_scd.......... [CREATE TABLE (0.0 rows, 0 processed) in 3.07s]
2022-06-07 16:04:35 normalization > 16:04:35  53 of 78 START incremental model ggpredict_airbyte.user_training_v2_streaks_scd......................................... [RUN]
2022-06-07 16:04:35 normalization > 16:04:35  44 of 78 OK created incremental model ggpredict_airbyte.user_matches_scd................................................ [CREATE TABLE (0.0 rows, 0 processed) in 3.07s]
2022-06-07 16:04:35 normalization > 16:04:35  54 of 78 START incremental model ggpredict_airbyte.user_training_v2_unit_tags_scd....................................... [RUN]
2022-06-07 16:04:35 normalization > 16:04:35  43 of 78 OK created incremental model ggpredict_airbyte.user_server_weapon_stats_scd.................................... [CREATE TABLE (0.0 rows, 0 processed) in 3.17s]
2022-06-07 16:04:35 normalization > 16:04:35  55 of 78 START incremental model ggpredict_airbyte.coach_match_missplays_in_rounds...................................... [RUN]
2022-06-07 16:04:35 normalization > 16:04:35  16:04:35 + `segment-351212`.ggpredict_airbyte.`user_training_v2_level_segments_scd`._airbyte_ab_id does not exist yet. The table will be created or rebuilt with dbt.full_refresh
2022-06-07 16:04:35 normalization > 16:04:35  16:04:35 + `segment-351212`.ggpredict_airbyte.`user_training_v2_levels_scd`._airbyte_ab_id does not exist yet. The table will be created or rebuilt with dbt.full_refresh
2022-06-07 16:04:35 normalization > 16:04:35  16:04:35 + `segment-351212`.ggpredict_airbyte.`user_training_v2_streaks_scd`._airbyte_ab_id does not exist yet. The table will be created or rebuilt with dbt.full_refresh
2022-06-07 16:04:35 normalization > 16:04:35  16:04:35 + `segment-351212`.ggpredict_airbyte.`coach_match_missplays_in_rounds`._airbyte_ab_id does not exist yet. The table will be created or rebuilt with dbt.full_refresh
2022-06-07 16:04:36 normalization > 16:04:36  48 of 78 OK created incremental model ggpredict_airbyte.user_training_v2_level_segment_unit_stats_scd................... [CREATE TABLE (0.0 rows, 0 processed) in 2.91s]
2022-06-07 16:04:36 normalization > 16:04:36  56 of 78 START incremental model ggpredict_airbyte.coach_match_sub_stats_v2............................................. [RUN]
2022-06-07 16:04:36 normalization > 16:04:36  16:04:36 + `segment-351212`.ggpredict_airbyte.`users_scd`._airbyte_ab_id does not exist yet. The table will be created or rebuilt with dbt.full_refresh
2022-06-07 16:04:36 normalization > 16:04:36  16:04:36 + `segment-351212`.ggpredict_airbyte.`user_training_v2_unit_tags_scd`._airbyte_ab_id does not exist yet. The table will be created or rebuilt with dbt.full_refresh
2022-06-07 16:04:36 normalization > 16:04:36  16:04:36 + `segment-351212`.ggpredict_airbyte.`coach_match_sub_stats_v2`._airbyte_ab_id does not exist yet. The table will be created or rebuilt with dbt.full_refresh
2022-06-07 16:04:38 normalization > 16:04:38  55 of 78 OK created incremental model ggpredict_airbyte.coach_match_missplays_in_rounds................................. [CREATE TABLE (0.0 rows, 0 processed) in 2.33s]
2022-06-07 16:04:38 normalization > 16:04:38  57 of 78 START incremental model ggpredict_airbyte.challenge_weapons.................................................... [RUN]
2022-06-07 16:04:38 normalization > 16:04:38  49 of 78 OK created incremental model ggpredict_airbyte.user_training_v2_level_segment_units_scd........................ [CREATE TABLE (0.0 rows, 0 processed) in 2.99s]
2022-06-07 16:04:38 normalization > 16:04:38  58 of 78 START incremental model ggpredict_airbyte.coach_match_advanced_stats........................................... [RUN]
2022-06-07 16:04:38 normalization > 16:04:38  16:04:38 + `segment-351212`.ggpredict_airbyte.`challenge_weapons`._airbyte_ab_id does not exist yet. The table will be created or rebuilt with dbt.full_refresh
2022-06-07 16:04:38 normalization > 16:04:38  16:04:38 + `segment-351212`.ggpredict_airbyte.`coach_match_advanced_stats`._airbyte_ab_id does not exist yet. The table will be created or rebuilt with dbt.full_refresh
2022-06-07 16:04:38 normalization > 16:04:38  56 of 78 OK created incremental model ggpredict_airbyte.coach_match_sub_stats_v2........................................ [CREATE TABLE (0.0 rows, 0 processed) in 2.42s]
2022-06-07 16:04:38 normalization > 16:04:38  59 of 78 START incremental model ggpredict_airbyte.challenge_maps....................................................... [RUN]
2022-06-07 16:04:38 normalization > 16:04:38  50 of 78 OK created incremental model ggpredict_airbyte.user_training_v2_level_segments_scd............................. [CREATE TABLE (0.0 rows, 0 processed) in 3.01s]
2022-06-07 16:04:38 normalization > 16:04:38  60 of 78 SKIP relation ggpredict_airbyte.user_server_stats.............................................................. [SKIP]
2022-06-07 16:04:38 normalization > 16:04:38  61 of 78 SKIP relation ggpredict_airbyte.coach_match_lineups............................................................ [SKIP]
2022-06-07 16:04:38 normalization > 16:04:38  62 of 78 START incremental model ggpredict_airbyte.challenge_types...................................................... [RUN]
2022-06-07 16:04:38 normalization > 16:04:38  51 of 78 OK created incremental model ggpredict_airbyte.user_training_v2_levels_scd..................................... [CREATE TABLE (0.0 rows, 0 processed) in 3.07s]
2022-06-07 16:04:38 normalization > 16:04:38  63 of 78 START incremental model ggpredict_airbyte.coach_players........................................................ [RUN]
2022-06-07 16:04:38 normalization > 16:04:38  53 of 78 OK created incremental model ggpredict_airbyte.user_training_v2_streaks_scd.................................... [CREATE TABLE (0.0 rows, 0 processed) in 2.98s]
2022-06-07 16:04:38 normalization > 16:04:38  64 of 78 START incremental model ggpredict_airbyte.coach_match_sub_stats................................................ [RUN]
2022-06-07 16:04:38 normalization > 16:04:38  52 of 78 OK created incremental model ggpredict_airbyte.users_scd....................................................... [CREATE TABLE (0.0 rows, 0 processed) in 3.07s]
2022-06-07 16:04:38 normalization > 16:04:38  65 of 78 START incremental model ggpredict_airbyte.missplays............................................................ [RUN]
2022-06-07 16:04:38 normalization > 16:04:38  16:04:38 + `segment-351212`.ggpredict_airbyte.`challenge_types`._airbyte_ab_id does not exist yet. The table will be created or rebuilt with dbt.full_refresh
2022-06-07 16:04:38 normalization > 16:04:38  16:04:38 + `segment-351212`.ggpredict_airbyte.`challenge_maps`._airbyte_ab_id does not exist yet. The table will be created or rebuilt with dbt.full_refresh
2022-06-07 16:04:38 normalization > 16:04:38  54 of 78 OK created incremental model ggpredict_airbyte.user_training_v2_unit_tags_scd.................................. [CREATE TABLE (0.0 rows, 0 processed) in 3.09s]
2022-06-07 16:04:38 normalization > 16:04:38  16:04:38 + `segment-351212`.ggpredict_airbyte.`coach_players`._airbyte_ab_id does not exist yet. The table will be created or rebuilt with dbt.full_refresh
2022-06-07 16:04:38 normalization > 16:04:38  66 of 78 START incremental model ggpredict_airbyte.user_server_live_stats............................................... [RUN]
2022-06-07 16:04:38 normalization > 16:04:38  16:04:38 + `segment-351212`.ggpredict_airbyte.`missplays`._airbyte_ab_id does not exist yet. The table will be created or rebuilt with dbt.full_refresh
2022-06-07 16:04:39 normalization > 16:04:39  16:04:39 + `segment-351212`.ggpredict_airbyte.`coach_match_sub_stats`._airbyte_ab_id does not exist yet. The table will be created or rebuilt with dbt.full_refresh
2022-06-07 16:04:39 normalization > 16:04:39  16:04:39 + `segment-351212`.ggpredict_airbyte.`user_server_live_stats`._airbyte_ab_id does not exist yet. The table will be created or rebuilt with dbt.full_refresh
2022-06-07 16:04:40 normalization > 16:04:40  58 of 78 OK created incremental model ggpredict_airbyte.coach_match_advanced_stats...................................... [CREATE TABLE (0.0 rows, 0 processed) in 2.22s]
2022-06-07 16:04:40 normalization > 16:04:40  67 of 78 START incremental model ggpredict_airbyte.coach_matches........................................................ [RUN]
2022-06-07 16:04:40 normalization > 16:04:40  57 of 78 OK created incremental model ggpredict_airbyte.challenge_weapons............................................... [CREATE TABLE (0.0 rows, 0 processed) in 2.38s]
2022-06-07 16:04:40 normalization > 16:04:40  68 of 78 START incremental model ggpredict_airbyte.user_challenges...................................................... [RUN]
2022-06-07 16:04:40 normalization > 16:04:40  59 of 78 OK created incremental model ggpredict_airbyte.challenge_maps.................................................. [CREATE TABLE (0.0 rows, 0 processed) in 2.12s]
2022-06-07 16:04:40 normalization > 16:04:40  69 of 78 START incremental model ggpredict_airbyte.user_training_v2_level_segment_unit_start_sessions................... [RUN]
2022-06-07 16:04:40 normalization > 16:04:40  62 of 78 OK created incremental model ggpredict_airbyte.challenge_types................................................. [CREATE TABLE (0.0 rows, 0 processed) in 2.34s]
2022-06-07 16:04:40 normalization > 16:04:40  70 of 78 START incremental model ggpredict_airbyte.user_matches......................................................... [RUN]
2022-06-07 16:04:40 normalization > 16:04:40  16:04:40 + `segment-351212`.ggpredict_airbyte.`user_challenges`._airbyte_ab_id does not exist yet. The table will be created or rebuilt with dbt.full_refresh
2022-06-07 16:04:40 normalization > 16:04:40  16:04:40 + `segment-351212`.ggpredict_airbyte.`coach_matches`._airbyte_ab_id does not exist yet. The table will be created or rebuilt with dbt.full_refresh
2022-06-07 16:04:40 normalization > 16:04:40  16:04:40 + `segment-351212`.ggpredict_airbyte.`user_training_v2_level_segment_unit_start_sessions`._airbyte_ab_id does not exist yet. The table will be created or rebuilt with dbt.full_refresh
2022-06-07 16:04:40 normalization > 16:04:40  63 of 78 OK created incremental model ggpredict_airbyte.coach_players................................................... [CREATE TABLE (0.0 rows, 0 processed) in 2.39s]
2022-06-07 16:04:40 normalization > 16:04:40  66 of 78 OK created incremental model ggpredict_airbyte.user_server_live_stats.......................................... [CREATE TABLE (0.0 rows, 0 processed) in 2.10s]
2022-06-07 16:04:40 normalization > 16:04:40  71 of 78 START incremental model ggpredict_airbyte.user_server_weapon_stats............................................. [RUN]
2022-06-07 16:04:40 normalization > 16:04:40  72 of 78 START incremental model ggpredict_airbyte.user_training_v2_level_segment_unit_stats............................ [RUN]
2022-06-07 16:04:41 normalization > 16:04:41  64 of 78 OK created incremental model ggpredict_airbyte.coach_match_sub_stats........................................... [CREATE TABLE (0.0 rows, 0 processed) in 2.43s]
2022-06-07 16:04:41 normalization > 16:04:41  65 of 78 OK created incremental model ggpredict_airbyte.missplays....................................................... [CREATE TABLE (0.0 rows, 0 processed) in 2.41s]
2022-06-07 16:04:41 normalization > 16:04:41  73 of 78 START incremental model ggpredict_airbyte.user_training_v2_level_segment_units................................. [RUN]
2022-06-07 16:04:41 normalization > 16:04:41  74 of 78 START incremental model ggpredict_airbyte.user_training_v2_level_segments...................................... [RUN]
2022-06-07 16:04:41 normalization > 16:04:41  16:04:41 + `segment-351212`.ggpredict_airbyte.`user_matches`._airbyte_ab_id does not exist yet. The table will be created or rebuilt with dbt.full_refresh
2022-06-07 16:04:41 normalization > 16:04:41  16:04:41 + `segment-351212`.ggpredict_airbyte.`user_server_weapon_stats`._airbyte_ab_id does not exist yet. The table will be created or rebuilt with dbt.full_refresh
2022-06-07 16:04:41 normalization > 16:04:41  16:04:41 + `segment-351212`.ggpredict_airbyte.`user_training_v2_level_segment_unit_stats`._airbyte_ab_id does not exist yet. The table will be created or rebuilt with dbt.full_refresh
2022-06-07 16:04:41 normalization > 16:04:41  16:04:41 + `segment-351212`.ggpredict_airbyte.`user_training_v2_level_segments`._airbyte_ab_id does not exist yet. The table will be created or rebuilt with dbt.full_refresh
2022-06-07 16:04:41 normalization > 16:04:41  16:04:41 + `segment-351212`.ggpredict_airbyte.`user_training_v2_level_segment_units`._airbyte_ab_id does not exist yet. The table will be created or rebuilt with dbt.full_refresh
2022-06-07 16:04:42 normalization > 16:04:42  69 of 78 OK created incremental model ggpredict_airbyte.user_training_v2_level_segment_unit_start_sessions.............. [CREATE TABLE (0.0 rows, 0 processed) in 2.15s]
2022-06-07 16:04:42 normalization > 16:04:42  75 of 78 START incremental model ggpredict_airbyte.user_training_v2_levels.............................................. [RUN]
2022-06-07 16:04:42 normalization > 16:04:42  16:04:42 + `segment-351212`.ggpredict_airbyte.`user_training_v2_levels`._airbyte_ab_id does not exist yet. The table will be created or rebuilt with dbt.full_refresh
2022-06-07 16:04:42 normalization > 16:04:42  68 of 78 OK created incremental model ggpredict_airbyte.user_challenges................................................. [CREATE TABLE (0.0 rows, 0 processed) in 2.47s]
2022-06-07 16:04:42 normalization > 16:04:42  76 of 78 START incremental model ggpredict_airbyte.user_training_v2_streaks............................................. [RUN]
2022-06-07 16:04:42 normalization > 16:04:42  67 of 78 OK created incremental model ggpredict_airbyte.coach_matches................................................... [CREATE TABLE (0.0 rows, 0 processed) in 2.55s]
2022-06-07 16:04:42 normalization > 16:04:42  77 of 78 START incremental model ggpredict_airbyte.users................................................................ [RUN]
2022-06-07 16:04:43 normalization > 16:04:43  70 of 78 OK created incremental model ggpredict_airbyte.user_matches.................................................... [CREATE TABLE (0.0 rows, 0 processed) in 2.19s]
2022-06-07 16:04:43 normalization > 16:04:43  78 of 78 START incremental model ggpredict_airbyte.user_training_v2_unit_tags........................................... [RUN]
2022-06-07 16:04:43 normalization > 16:04:43  71 of 78 OK created incremental model ggpredict_airbyte.user_server_weapon_stats........................................ [CREATE TABLE (0.0 rows, 0 processed) in 2.19s]
2022-06-07 16:04:43 normalization > 16:04:43  74 of 78 OK created incremental model ggpredict_airbyte.user_training_v2_level_segments................................. [CREATE TABLE (0.0 rows, 0 processed) in 2.06s]
2022-06-07 16:04:43 normalization > 16:04:43  72 of 78 OK created incremental model ggpredict_airbyte.user_training_v2_level_segment_unit_stats....................... [CREATE TABLE (0.0 rows, 0 processed) in 2.23s]
2022-06-07 16:04:43 normalization > 16:04:43  16:04:43 + `segment-351212`.ggpredict_airbyte.`user_training_v2_streaks`._airbyte_ab_id does not exist yet. The table will be created or rebuilt with dbt.full_refresh
2022-06-07 16:04:43 normalization > 16:04:43  16:04:43 + `segment-351212`.ggpredict_airbyte.`users`._airbyte_ab_id does not exist yet. The table will be created or rebuilt with dbt.full_refresh
2022-06-07 16:04:43 normalization > 16:04:43  16:04:43 + `segment-351212`.ggpredict_airbyte.`user_training_v2_unit_tags`._airbyte_ab_id does not exist yet. The table will be created or rebuilt with dbt.full_refresh
2022-06-07 16:04:43 normalization > 16:04:43  73 of 78 OK created incremental model ggpredict_airbyte.user_training_v2_level_segment_units............................ [CREATE TABLE (0.0 rows, 0 processed) in 2.33s]
2022-06-07 16:04:45 normalization > 16:04:45  76 of 78 OK created incremental model ggpredict_airbyte.user_training_v2_streaks........................................ [CREATE TABLE (0.0 rows, 0 processed) in 2.10s]
2022-06-07 16:04:45 normalization > 16:04:45  77 of 78 OK created incremental model ggpredict_airbyte.users........................................................... [CREATE TABLE (0.0 rows, 0 processed) in 2.06s]
2022-06-07 16:04:45 normalization > 16:04:45  75 of 78 OK created incremental model ggpredict_airbyte.user_training_v2_levels......................................... [CREATE TABLE (0.0 rows, 0 processed) in 2.35s]
2022-06-07 16:04:45 normalization > 16:04:45  78 of 78 OK created incremental model ggpredict_airbyte.user_training_v2_unit_tags...................................... [CREATE TABLE (0.0 rows, 0 processed) in 2.38s]
2022-06-07 16:04:45 normalization > 16:04:45  
2022-06-07 16:04:45 normalization > 16:04:45  Finished running 26 view models, 52 incremental models in 26.09s.
2022-06-07 16:04:45 normalization > 16:04:45  
2022-06-07 16:04:45 normalization > 16:04:45  Completed with 4 errors and 0 warnings:
2022-06-07 16:04:45 normalization > 16:04:45  
2022-06-07 16:04:45 normalization > 16:04:45  Runtime Error in model challenges_stg (models/generated/airbyte_views/ggpredict_airbyte/challenges_stg.sql)
2022-06-07 16:04:45 normalization > 16:04:45    404 Not found: Table segment-351212:ggpredict_airbyte._airbyte_raw_challenges was not found in location europe-central2
2022-06-07 16:04:45 normalization > 16:04:45    
2022-06-07 16:04:45 normalization > 16:04:45    (job ID: 12aeb632-be7f-48c1-b37c-69693b60e819)
2022-06-07 16:04:45 normalization > 16:04:45  
2022-06-07 16:04:45 normalization > 16:04:45  Runtime Error in model coach_match_advanced_stats_v2_stg (models/generated/airbyte_views/ggpredict_airbyte/coach_match_advanced_stats_v2_stg.sql)
2022-06-07 16:04:45 normalization > 16:04:45    404 Not found: Table segment-351212:ggpredict_airbyte._airbyte_raw_coach_match_advanced_stats_v2 was not found in location europe-central2
2022-06-07 16:04:45 normalization > 16:04:45    
2022-06-07 16:04:45 normalization > 16:04:45    (job ID: dd3c55e9-1916-44fc-a19b-f68b404893d5)
2022-06-07 16:04:45 normalization > 16:04:45  
2022-06-07 16:04:45 normalization > 16:04:45  Runtime Error in model user_server_stats_stg (models/generated/airbyte_views/ggpredict_airbyte/user_server_stats_stg.sql)
2022-06-07 16:04:45 normalization > 16:04:45    404 Not found: Table segment-351212:ggpredict_airbyte._airbyte_raw_user_server_stats was not found in location europe-central2
2022-06-07 16:04:45 normalization > 16:04:45    
2022-06-07 16:04:45 normalization > 16:04:45    (job ID: 7dee8cad-6013-43b1-baed-8bd02f0d77fb)
2022-06-07 16:04:45 normalization > 16:04:45  
2022-06-07 16:04:45 normalization > 16:04:45  Runtime Error in model coach_match_lineups_stg (models/generated/airbyte_views/ggpredict_airbyte/coach_match_lineups_stg.sql)
2022-06-07 16:04:45 normalization > 16:04:45    404 Not found: Table segment-351212:ggpredict_airbyte._airbyte_raw_coach_match_lineups was not found in location europe-central2
2022-06-07 16:04:45 normalization > 16:04:45    
2022-06-07 16:04:45 normalization > 16:04:45    (job ID: 44f9538b-bda6-4c39-92ad-cea5e411e16c)
2022-06-07 16:04:45 normalization > 16:04:45  
2022-06-07 16:04:45 normalization > 16:04:45  Done. PASS=66 WARN=0 ERROR=4 SKIP=8 TOTAL=78
2022-06-07 16:04:45 normalization > 
2022-06-07 16:04:45 normalization > Diagnosing dbt debug to check if destination is available for dbt and well configured (1):
2022-06-07 16:04:45 normalization > 
2022-06-07 16:04:48 normalization > 16:04:48  Running with dbt=1.0.0
2022-06-07 16:04:48 normalization > dbt version: 1.0.0
2022-06-07 16:04:48 normalization > python version: 3.9.9
2022-06-07 16:04:48 normalization > python path: /usr/local/bin/python
2022-06-07 16:04:48 normalization > os info: Linux-4.19.0-14-amd64-x86_64-with-glibc2.31
2022-06-07 16:04:48 normalization > Using profiles.yml file at /data/18/0/normalize/profiles.yml
2022-06-07 16:04:48 normalization > Using dbt_project.yml file at /data/18/0/normalize/dbt_project.yml
2022-06-07 16:04:48 normalization > 
2022-06-07 16:04:48 normalization > Configuration:
2022-06-07 16:04:48 normalization >   profiles.yml file [OK found and valid]
2022-06-07 16:04:48 normalization >   dbt_project.yml file [OK found and valid]
2022-06-07 16:04:48 normalization > 
2022-06-07 16:04:48 normalization > Required dependencies:
2022-06-07 16:04:48 normalization >  - git [OK found]
2022-06-07 16:04:48 normalization > 
2022-06-07 16:04:48 normalization > Connection:
2022-06-07 16:04:48 normalization >   method: service-account-json
2022-06-07 16:04:48 normalization >   database: segment-351212
2022-06-07 16:04:48 normalization >   schema: ggpredict_airbyte
2022-06-07 16:04:48 normalization >   location: europe-central2
2022-06-07 16:04:48 normalization >   priority: batch
2022-06-07 16:04:48 normalization >   timeout_seconds: 300
2022-06-07 16:04:48 normalization >   maximum_bytes_billed: None
2022-06-07 16:04:48 normalization >   execution_project: segment-351212
2022-06-07 16:04:49 normalization >   Connection test: [OK connection ok]
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > All checks passed!
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > Forward dbt output logs to diagnose/debug errors (0):
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > ============================== 2022-06-07 16:04:15.072807 | 10651b0f-57f3-4950-a6cb-1def4d8141a2 ==============================
2022-06-07 16:04:49 normalization > 16:04:15.072807 [info ] [MainThread]: Running with dbt=1.0.0
2022-06-07 16:04:49 normalization > 16:04:15.073326 [debug] [MainThread]: running dbt with arguments Namespace(record_timing_info=None, debug=None, log_format=None, write_json=None, use_colors=None, printer_width=None, warn_error=None, version_check=None, partial_parse=None, single_threaded=False, use_experimental_parser=None, static_parser=None, profiles_dir='/data/18/0/normalize', send_anonymous_usage_stats=None, fail_fast=None, event_buffer_size='10000', project_dir='/data/18/0/normalize', profile=None, target=None, vars='{}', log_cache_events=False, threads=None, select=None, exclude=None, selector_name=None, state=None, defer=None, full_refresh=False, cls=<class 'dbt.task.run.RunTask'>, which='run', rpc_method='run')
2022-06-07 16:04:49 normalization > 16:04:15.073525 [debug] [MainThread]: Tracking: do not track
2022-06-07 16:04:49 normalization > 16:04:15.101568 [info ] [MainThread]: Partial parse save file not found. Starting full parse.
2022-06-07 16:04:49 normalization > 16:04:15.149559 [debug] [MainThread]: Parsing macros/incremental.sql
2022-06-07 16:04:49 normalization > 16:04:15.158685 [debug] [MainThread]: Parsing macros/star_intersect.sql
2022-06-07 16:04:49 normalization > 16:04:15.167145 [debug] [MainThread]: Parsing macros/get_custom_schema.sql
2022-06-07 16:04:49 normalization > 16:04:15.167850 [debug] [MainThread]: Parsing macros/configuration.sql
2022-06-07 16:04:49 normalization > 16:04:15.170606 [debug] [MainThread]: Parsing macros/should_full_refresh.sql
2022-06-07 16:04:49 normalization > 16:04:15.177701 [debug] [MainThread]: Parsing macros/cross_db_utils/array.sql
2022-06-07 16:04:49 normalization > 16:04:15.197690 [debug] [MainThread]: Parsing macros/cross_db_utils/type_conversions.sql
2022-06-07 16:04:49 normalization > 16:04:15.208698 [debug] [MainThread]: Parsing macros/cross_db_utils/except.sql
2022-06-07 16:04:49 normalization > 16:04:15.209679 [debug] [MainThread]: Parsing macros/cross_db_utils/surrogate_key.sql
2022-06-07 16:04:49 normalization > 16:04:15.212317 [debug] [MainThread]: Parsing macros/cross_db_utils/hash.sql
2022-06-07 16:04:49 normalization > 16:04:15.213086 [debug] [MainThread]: Parsing macros/cross_db_utils/datatypes.sql
2022-06-07 16:04:49 normalization > 16:04:15.227220 [debug] [MainThread]: Parsing macros/cross_db_utils/concat.sql
2022-06-07 16:04:49 normalization > 16:04:15.229950 [debug] [MainThread]: Parsing macros/cross_db_utils/columns.sql
2022-06-07 16:04:49 normalization > 16:04:15.233708 [debug] [MainThread]: Parsing macros/cross_db_utils/current_timestamp.sql
2022-06-07 16:04:49 normalization > 16:04:15.234434 [debug] [MainThread]: Parsing macros/cross_db_utils/json_operations.sql
2022-06-07 16:04:49 normalization > 16:04:15.285340 [debug] [MainThread]: Parsing macros/cross_db_utils/quote.sql
2022-06-07 16:04:49 normalization > 16:04:15.287301 [debug] [MainThread]: Parsing macros/schema_tests/equal_rowcount.sql
2022-06-07 16:04:49 normalization > 16:04:15.288803 [debug] [MainThread]: Parsing macros/schema_tests/equality.sql
2022-06-07 16:04:49 normalization > 16:04:15.298081 [debug] [MainThread]: Parsing macros/etc.sql
2022-06-07 16:04:49 normalization > 16:04:15.300513 [debug] [MainThread]: Parsing macros/catalog.sql
2022-06-07 16:04:49 normalization > 16:04:15.310075 [debug] [MainThread]: Parsing macros/adapters.sql
2022-06-07 16:04:49 normalization > 16:04:15.345179 [debug] [MainThread]: Parsing macros/materializations/snapshot.sql
2022-06-07 16:04:49 normalization > 16:04:15.347392 [debug] [MainThread]: Parsing macros/materializations/table.sql
2022-06-07 16:04:49 normalization > 16:04:15.353148 [debug] [MainThread]: Parsing macros/materializations/incremental.sql
2022-06-07 16:04:49 normalization > 16:04:15.375842 [debug] [MainThread]: Parsing macros/materializations/seed.sql
2022-06-07 16:04:49 normalization > 16:04:15.379360 [debug] [MainThread]: Parsing macros/materializations/copy.sql
2022-06-07 16:04:49 normalization > 16:04:15.383042 [debug] [MainThread]: Parsing macros/materializations/view.sql
2022-06-07 16:04:49 normalization > 16:04:15.386660 [debug] [MainThread]: Parsing macros/materializations/hooks.sql
2022-06-07 16:04:49 normalization > 16:04:15.392139 [debug] [MainThread]: Parsing macros/materializations/configs.sql
2022-06-07 16:04:49 normalization > 16:04:15.395370 [debug] [MainThread]: Parsing macros/materializations/seeds/helpers.sql
2022-06-07 16:04:49 normalization > 16:04:15.421328 [debug] [MainThread]: Parsing macros/materializations/seeds/seed.sql
2022-06-07 16:04:49 normalization > 16:04:15.430329 [debug] [MainThread]: Parsing macros/materializations/tests/where_subquery.sql
2022-06-07 16:04:49 normalization > 16:04:15.432803 [debug] [MainThread]: Parsing macros/materializations/tests/helpers.sql
2022-06-07 16:04:49 normalization > 16:04:15.435265 [debug] [MainThread]: Parsing macros/materializations/tests/test.sql
2022-06-07 16:04:49 normalization > 16:04:15.442050 [debug] [MainThread]: Parsing macros/materializations/snapshots/snapshot.sql
2022-06-07 16:04:49 normalization > 16:04:15.460199 [debug] [MainThread]: Parsing macros/materializations/snapshots/snapshot_merge.sql
2022-06-07 16:04:49 normalization > 16:04:15.462531 [debug] [MainThread]: Parsing macros/materializations/snapshots/helpers.sql
2022-06-07 16:04:49 normalization > 16:04:15.480314 [debug] [MainThread]: Parsing macros/materializations/snapshots/strategies.sql
2022-06-07 16:04:49 normalization > 16:04:15.505678 [debug] [MainThread]: Parsing macros/materializations/models/table/create_table_as.sql
2022-06-07 16:04:49 normalization > 16:04:15.509655 [debug] [MainThread]: Parsing macros/materializations/models/table/table.sql
2022-06-07 16:04:49 normalization > 16:04:15.520767 [debug] [MainThread]: Parsing macros/materializations/models/incremental/on_schema_change.sql
2022-06-07 16:04:49 normalization > 16:04:15.546835 [debug] [MainThread]: Parsing macros/materializations/models/incremental/incremental.sql
2022-06-07 16:04:49 normalization > 16:04:15.561981 [debug] [MainThread]: Parsing macros/materializations/models/incremental/is_incremental.sql
2022-06-07 16:04:49 normalization > 16:04:15.564037 [debug] [MainThread]: Parsing macros/materializations/models/incremental/column_helpers.sql
2022-06-07 16:04:49 normalization > 16:04:15.570421 [debug] [MainThread]: Parsing macros/materializations/models/incremental/merge.sql
2022-06-07 16:04:49 normalization > 16:04:15.588208 [debug] [MainThread]: Parsing macros/materializations/models/view/helpers.sql
2022-06-07 16:04:49 normalization > 16:04:15.589979 [debug] [MainThread]: Parsing macros/materializations/models/view/create_or_replace_view.sql
2022-06-07 16:04:49 normalization > 16:04:15.593836 [debug] [MainThread]: Parsing macros/materializations/models/view/create_view_as.sql
2022-06-07 16:04:49 normalization > 16:04:15.596972 [debug] [MainThread]: Parsing macros/materializations/models/view/view.sql
2022-06-07 16:04:49 normalization > 16:04:15.607436 [debug] [MainThread]: Parsing macros/etc/statement.sql
2022-06-07 16:04:49 normalization > 16:04:15.613806 [debug] [MainThread]: Parsing macros/etc/datetime.sql
2022-06-07 16:04:49 normalization > 16:04:15.626449 [debug] [MainThread]: Parsing macros/get_custom_name/get_custom_alias.sql
2022-06-07 16:04:49 normalization > 16:04:15.628414 [debug] [MainThread]: Parsing macros/get_custom_name/get_custom_schema.sql
2022-06-07 16:04:49 normalization > 16:04:15.631857 [debug] [MainThread]: Parsing macros/get_custom_name/get_custom_database.sql
2022-06-07 16:04:49 normalization > 16:04:15.634002 [debug] [MainThread]: Parsing macros/generic_test_sql/relationships.sql
2022-06-07 16:04:49 normalization > 16:04:15.635179 [debug] [MainThread]: Parsing macros/generic_test_sql/accepted_values.sql
2022-06-07 16:04:49 normalization > 16:04:15.637162 [debug] [MainThread]: Parsing macros/generic_test_sql/not_null.sql
2022-06-07 16:04:49 normalization > 16:04:15.637848 [debug] [MainThread]: Parsing macros/generic_test_sql/unique.sql
2022-06-07 16:04:49 normalization > 16:04:15.638749 [debug] [MainThread]: Parsing macros/adapters/relation.sql
2022-06-07 16:04:49 normalization > 16:04:15.652820 [debug] [MainThread]: Parsing macros/adapters/indexes.sql
2022-06-07 16:04:49 normalization > 16:04:15.656551 [debug] [MainThread]: Parsing macros/adapters/metadata.sql
2022-06-07 16:04:49 normalization > 16:04:15.667307 [debug] [MainThread]: Parsing macros/adapters/schema.sql
2022-06-07 16:04:49 normalization > 16:04:15.670275 [debug] [MainThread]: Parsing macros/adapters/columns.sql
2022-06-07 16:04:49 normalization > 16:04:15.684958 [debug] [MainThread]: Parsing macros/adapters/freshness.sql
2022-06-07 16:04:49 normalization > 16:04:15.689052 [debug] [MainThread]: Parsing macros/adapters/persist_docs.sql
2022-06-07 16:04:49 normalization > 16:04:15.695362 [debug] [MainThread]: Parsing tests/generic/builtin.sql
2022-06-07 16:04:49 normalization > 16:04:15.699567 [debug] [MainThread]: Parsing macros/sql/generate_series.sql
2022-06-07 16:04:49 normalization > 16:04:15.706005 [debug] [MainThread]: Parsing macros/sql/groupby.sql
2022-06-07 16:04:49 normalization > 16:04:15.707772 [debug] [MainThread]: Parsing macros/sql/get_relations_by_pattern.sql
2022-06-07 16:04:49 normalization > 16:04:15.712671 [debug] [MainThread]: Parsing macros/sql/get_relations_by_prefix.sql
2022-06-07 16:04:49 normalization > 16:04:15.717556 [debug] [MainThread]: Parsing macros/sql/safe_add.sql
2022-06-07 16:04:49 normalization > 16:04:15.719718 [debug] [MainThread]: Parsing macros/sql/haversine_distance.sql
2022-06-07 16:04:49 normalization > 16:04:15.728380 [debug] [MainThread]: Parsing macros/sql/surrogate_key.sql
2022-06-07 16:04:49 normalization > 16:04:15.733611 [debug] [MainThread]: Parsing macros/sql/get_tables_by_prefix_sql.sql
2022-06-07 16:04:49 normalization > 16:04:15.735863 [debug] [MainThread]: Parsing macros/sql/get_table_types_sql.sql
2022-06-07 16:04:49 normalization > 16:04:15.737572 [debug] [MainThread]: Parsing macros/sql/nullcheck_table.sql
2022-06-07 16:04:49 normalization > 16:04:15.739860 [debug] [MainThread]: Parsing macros/sql/get_query_results_as_dict.sql
2022-06-07 16:04:49 normalization > 16:04:15.743106 [debug] [MainThread]: Parsing macros/sql/star.sql
2022-06-07 16:04:49 normalization > 16:04:15.749290 [debug] [MainThread]: Parsing macros/sql/union.sql
2022-06-07 16:04:49 normalization > 16:04:15.765333 [debug] [MainThread]: Parsing macros/sql/unpivot.sql
2022-06-07 16:04:49 normalization > 16:04:15.777352 [debug] [MainThread]: Parsing macros/sql/get_tables_by_pattern_sql.sql
2022-06-07 16:04:49 normalization > 16:04:15.786822 [debug] [MainThread]: Parsing macros/sql/date_spine.sql
2022-06-07 16:04:49 normalization > 16:04:15.792816 [debug] [MainThread]: Parsing macros/sql/pivot.sql
2022-06-07 16:04:49 normalization > 16:04:15.798824 [debug] [MainThread]: Parsing macros/sql/nullcheck.sql
2022-06-07 16:04:49 normalization > 16:04:15.801085 [debug] [MainThread]: Parsing macros/sql/get_column_values.sql
2022-06-07 16:04:49 normalization > 16:04:15.808734 [debug] [MainThread]: Parsing macros/jinja_helpers/slugify.sql
2022-06-07 16:04:49 normalization > 16:04:15.810399 [debug] [MainThread]: Parsing macros/jinja_helpers/pretty_log_format.sql
2022-06-07 16:04:49 normalization > 16:04:15.811909 [debug] [MainThread]: Parsing macros/jinja_helpers/pretty_time.sql
2022-06-07 16:04:49 normalization > 16:04:15.813547 [debug] [MainThread]: Parsing macros/jinja_helpers/log_info.sql
2022-06-07 16:04:49 normalization > 16:04:15.815004 [debug] [MainThread]: Parsing macros/materializations/insert_by_period_materialization.sql
2022-06-07 16:04:49 normalization > 16:04:15.852242 [debug] [MainThread]: Parsing macros/cross_db_utils/length.sql
2022-06-07 16:04:49 normalization > 16:04:15.853977 [debug] [MainThread]: Parsing macros/cross_db_utils/last_day.sql
2022-06-07 16:04:49 normalization > 16:04:15.858918 [debug] [MainThread]: Parsing macros/cross_db_utils/except.sql
2022-06-07 16:04:49 normalization > 16:04:15.860264 [debug] [MainThread]: Parsing macros/cross_db_utils/dateadd.sql
2022-06-07 16:04:49 normalization > 16:04:15.864253 [debug] [MainThread]: Parsing macros/cross_db_utils/identifier.sql
2022-06-07 16:04:49 normalization > 16:04:15.866525 [debug] [MainThread]: Parsing macros/cross_db_utils/cast_bool_to_text.sql
2022-06-07 16:04:49 normalization > 16:04:15.868539 [debug] [MainThread]: Parsing macros/cross_db_utils/any_value.sql
2022-06-07 16:04:49 normalization > 16:04:15.870274 [debug] [MainThread]: Parsing macros/cross_db_utils/_is_relation.sql
2022-06-07 16:04:49 normalization > 16:04:15.871770 [debug] [MainThread]: Parsing macros/cross_db_utils/position.sql
2022-06-07 16:04:49 normalization > 16:04:15.873899 [debug] [MainThread]: Parsing macros/cross_db_utils/right.sql
2022-06-07 16:04:49 normalization > 16:04:15.877052 [debug] [MainThread]: Parsing macros/cross_db_utils/escape_single_quotes.sql
2022-06-07 16:04:49 normalization > 16:04:15.879472 [debug] [MainThread]: Parsing macros/cross_db_utils/replace.sql
2022-06-07 16:04:49 normalization > 16:04:15.881184 [debug] [MainThread]: Parsing macros/cross_db_utils/datediff.sql
2022-06-07 16:04:49 normalization > 16:04:15.896887 [debug] [MainThread]: Parsing macros/cross_db_utils/_is_ephemeral.sql
2022-06-07 16:04:49 normalization > 16:04:15.899614 [debug] [MainThread]: Parsing macros/cross_db_utils/hash.sql
2022-06-07 16:04:49 normalization > 16:04:15.901515 [debug] [MainThread]: Parsing macros/cross_db_utils/bool_or.sql
2022-06-07 16:04:49 normalization > 16:04:15.903596 [debug] [MainThread]: Parsing macros/cross_db_utils/intersect.sql
2022-06-07 16:04:49 normalization > 16:04:15.904977 [debug] [MainThread]: Parsing macros/cross_db_utils/datatypes.sql
2022-06-07 16:04:49 normalization > 16:04:15.913223 [debug] [MainThread]: Parsing macros/cross_db_utils/safe_cast.sql
2022-06-07 16:04:49 normalization > 16:04:15.915686 [debug] [MainThread]: Parsing macros/cross_db_utils/concat.sql
2022-06-07 16:04:49 normalization > 16:04:15.916967 [debug] [MainThread]: Parsing macros/cross_db_utils/literal.sql
2022-06-07 16:04:49 normalization > 16:04:15.918298 [debug] [MainThread]: Parsing macros/cross_db_utils/split_part.sql
2022-06-07 16:04:49 normalization > 16:04:15.920828 [debug] [MainThread]: Parsing macros/cross_db_utils/width_bucket.sql
2022-06-07 16:04:49 normalization > 16:04:15.928822 [debug] [MainThread]: Parsing macros/cross_db_utils/current_timestamp.sql
2022-06-07 16:04:49 normalization > 16:04:15.933756 [debug] [MainThread]: Parsing macros/cross_db_utils/date_trunc.sql
2022-06-07 16:04:49 normalization > 16:04:15.935729 [debug] [MainThread]: Parsing macros/web/get_url_host.sql
2022-06-07 16:04:49 normalization > 16:04:15.938575 [debug] [MainThread]: Parsing macros/web/get_url_path.sql
2022-06-07 16:04:49 normalization > 16:04:15.942231 [debug] [MainThread]: Parsing macros/web/get_url_parameter.sql
2022-06-07 16:04:49 normalization > 16:04:15.944343 [debug] [MainThread]: Parsing macros/schema_tests/recency.sql
2022-06-07 16:04:49 normalization > 16:04:15.946810 [debug] [MainThread]: Parsing macros/schema_tests/not_accepted_values.sql
2022-06-07 16:04:49 normalization > 16:04:15.949827 [debug] [MainThread]: Parsing macros/schema_tests/test_unique_where.sql
2022-06-07 16:04:49 normalization > 16:04:15.951738 [debug] [MainThread]: Parsing macros/schema_tests/test_not_null_where.sql
2022-06-07 16:04:49 normalization > 16:04:15.953717 [debug] [MainThread]: Parsing macros/schema_tests/relationships_where.sql
2022-06-07 16:04:49 normalization > 16:04:15.957046 [debug] [MainThread]: Parsing macros/schema_tests/accepted_range.sql
2022-06-07 16:04:49 normalization > 16:04:15.960729 [debug] [MainThread]: Parsing macros/schema_tests/not_constant.sql
2022-06-07 16:04:49 normalization > 16:04:15.962412 [debug] [MainThread]: Parsing macros/schema_tests/at_least_one.sql
2022-06-07 16:04:49 normalization > 16:04:15.964081 [debug] [MainThread]: Parsing macros/schema_tests/equal_rowcount.sql
2022-06-07 16:04:49 normalization > 16:04:15.966393 [debug] [MainThread]: Parsing macros/schema_tests/cardinality_equality.sql
2022-06-07 16:04:49 normalization > 16:04:15.969304 [debug] [MainThread]: Parsing macros/schema_tests/expression_is_true.sql
2022-06-07 16:04:49 normalization > 16:04:15.971849 [debug] [MainThread]: Parsing macros/schema_tests/equality.sql
2022-06-07 16:04:49 normalization > 16:04:15.977085 [debug] [MainThread]: Parsing macros/schema_tests/fewer_rows_than.sql
2022-06-07 16:04:49 normalization > 16:04:15.979486 [debug] [MainThread]: Parsing macros/schema_tests/sequential_values.sql
2022-06-07 16:04:49 normalization > 16:04:15.983722 [debug] [MainThread]: Parsing macros/schema_tests/not_null_proportion.sql
2022-06-07 16:04:49 normalization > 16:04:15.986847 [debug] [MainThread]: Parsing macros/schema_tests/unique_combination_of_columns.sql
2022-06-07 16:04:49 normalization > 16:04:15.990955 [debug] [MainThread]: Parsing macros/schema_tests/mutually_exclusive_ranges.sql
2022-06-07 16:04:49 normalization > 16:04:16.585858 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_views/ggpredict_airbyte/challenge_types_stg.sql
2022-06-07 16:04:49 normalization > 16:04:16.633558 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_views/ggpredict_airbyte/challenge_types_stg.sql
2022-06-07 16:04:49 normalization > 16:04:16.635046 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_views/ggpredict_airbyte/user_training_v2_levels_stg.sql
2022-06-07 16:04:49 normalization > 16:04:16.646503 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_views/ggpredict_airbyte/user_training_v2_levels_stg.sql
2022-06-07 16:04:49 normalization > 16:04:16.648233 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_views/ggpredict_airbyte/coach_match_advanced_stats_stg.sql
2022-06-07 16:04:49 normalization > 16:04:16.660628 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_views/ggpredict_airbyte/coach_match_advanced_stats_stg.sql
2022-06-07 16:04:49 normalization > 16:04:16.662128 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_views/ggpredict_airbyte/coach_match_missplays_in_rounds_stg.sql
2022-06-07 16:04:49 normalization > 16:04:16.712181 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_views/ggpredict_airbyte/coach_match_missplays_in_rounds_stg.sql
2022-06-07 16:04:49 normalization > 16:04:16.714001 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_views/ggpredict_airbyte/user_training_v2_unit_tags_stg.sql
2022-06-07 16:04:49 normalization > 16:04:16.724075 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_views/ggpredict_airbyte/user_training_v2_unit_tags_stg.sql
2022-06-07 16:04:49 normalization > 16:04:16.725562 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_views/ggpredict_airbyte/user_server_live_stats_stg.sql
2022-06-07 16:04:49 normalization > 16:04:16.736309 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_views/ggpredict_airbyte/user_server_live_stats_stg.sql
2022-06-07 16:04:49 normalization > 16:04:16.737815 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_views/ggpredict_airbyte/user_challenges_stg.sql
2022-06-07 16:04:49 normalization > 16:04:16.748986 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_views/ggpredict_airbyte/user_challenges_stg.sql
2022-06-07 16:04:49 normalization > 16:04:16.750444 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_views/ggpredict_airbyte/challenge_weapons_stg.sql
2022-06-07 16:04:49 normalization > 16:04:16.761483 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_views/ggpredict_airbyte/challenge_weapons_stg.sql
2022-06-07 16:04:49 normalization > 16:04:16.762949 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_views/ggpredict_airbyte/user_server_stats_stg.sql
2022-06-07 16:04:49 normalization > 16:04:16.779498 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_views/ggpredict_airbyte/user_server_stats_stg.sql
2022-06-07 16:04:49 normalization > 16:04:16.780991 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_views/ggpredict_airbyte/user_training_v2_level_segment_units_stg.sql
2022-06-07 16:04:49 normalization > 16:04:16.793947 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_views/ggpredict_airbyte/user_training_v2_level_segment_units_stg.sql
2022-06-07 16:04:49 normalization > 16:04:16.795677 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_views/ggpredict_airbyte/coach_players_stg.sql
2022-06-07 16:04:49 normalization > 16:04:16.805733 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_views/ggpredict_airbyte/coach_players_stg.sql
2022-06-07 16:04:49 normalization > 16:04:16.807161 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_views/ggpredict_airbyte/user_matches_stg.sql
2022-06-07 16:04:49 normalization > 16:04:16.817914 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_views/ggpredict_airbyte/user_matches_stg.sql
2022-06-07 16:04:49 normalization > 16:04:16.819375 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_views/ggpredict_airbyte/user_training_v2_level_segments_stg.sql
2022-06-07 16:04:49 normalization > 16:04:16.831886 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_views/ggpredict_airbyte/user_training_v2_level_segments_stg.sql
2022-06-07 16:04:49 normalization > 16:04:16.833374 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_views/ggpredict_airbyte/coach_match_sub_stats_stg.sql
2022-06-07 16:04:49 normalization > 16:04:16.844077 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_views/ggpredict_airbyte/coach_match_sub_stats_stg.sql
2022-06-07 16:04:49 normalization > 16:04:16.845570 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_views/ggpredict_airbyte/missplays_stg.sql
2022-06-07 16:04:49 normalization > 16:04:16.855441 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_views/ggpredict_airbyte/missplays_stg.sql
2022-06-07 16:04:49 normalization > 16:04:16.856913 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_views/ggpredict_airbyte/coach_matches_stg.sql
2022-06-07 16:04:49 normalization > 16:04:16.870918 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_views/ggpredict_airbyte/coach_matches_stg.sql
2022-06-07 16:04:49 normalization > 16:04:16.872418 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_views/ggpredict_airbyte/users_stg.sql
2022-06-07 16:04:49 normalization > 16:04:16.894659 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_views/ggpredict_airbyte/users_stg.sql
2022-06-07 16:04:49 normalization > 16:04:16.896098 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_views/ggpredict_airbyte/coach_match_sub_stats_v2_stg.sql
2022-06-07 16:04:49 normalization > 16:04:16.906790 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_views/ggpredict_airbyte/coach_match_sub_stats_v2_stg.sql
2022-06-07 16:04:49 normalization > 16:04:16.908222 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_views/ggpredict_airbyte/user_training_v2_level_segment_unit_start_sessions_stg.sql
2022-06-07 16:04:49 normalization > 16:04:16.918724 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_views/ggpredict_airbyte/user_training_v2_level_segment_unit_start_sessions_stg.sql
2022-06-07 16:04:49 normalization > 16:04:16.920181 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_views/ggpredict_airbyte/user_server_weapon_stats_stg.sql
2022-06-07 16:04:49 normalization > 16:04:16.934945 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_views/ggpredict_airbyte/user_server_weapon_stats_stg.sql
2022-06-07 16:04:49 normalization > 16:04:16.936387 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_views/ggpredict_airbyte/challenge_maps_stg.sql
2022-06-07 16:04:49 normalization > 16:04:16.946640 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_views/ggpredict_airbyte/challenge_maps_stg.sql
2022-06-07 16:04:49 normalization > 16:04:16.948112 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_views/ggpredict_airbyte/user_training_v2_streaks_stg.sql
2022-06-07 16:04:49 normalization > 16:04:16.959702 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_views/ggpredict_airbyte/user_training_v2_streaks_stg.sql
2022-06-07 16:04:49 normalization > 16:04:16.961191 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_views/ggpredict_airbyte/challenges_stg.sql
2022-06-07 16:04:49 normalization > 16:04:16.972203 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_views/ggpredict_airbyte/challenges_stg.sql
2022-06-07 16:04:49 normalization > 16:04:16.973699 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_views/ggpredict_airbyte/user_training_v2_level_segment_unit_stats_stg.sql
2022-06-07 16:04:49 normalization > 16:04:16.985498 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_views/ggpredict_airbyte/user_training_v2_level_segment_unit_stats_stg.sql
2022-06-07 16:04:49 normalization > 16:04:16.987191 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_views/ggpredict_airbyte/coach_match_lineups_stg.sql
2022-06-07 16:04:49 normalization > 16:04:17.035675 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_views/ggpredict_airbyte/coach_match_lineups_stg.sql
2022-06-07 16:04:49 normalization > 16:04:17.037501 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_views/ggpredict_airbyte/coach_match_advanced_stats_v2_stg.sql
2022-06-07 16:04:49 normalization > 16:04:17.049182 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_views/ggpredict_airbyte/coach_match_advanced_stats_v2_stg.sql
2022-06-07 16:04:49 normalization > 16:04:17.051117 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_incremental/scd/ggpredict_airbyte/user_training_v2_streaks_scd.sql
2022-06-07 16:04:49 normalization > 16:04:17.073907 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_incremental/scd/ggpredict_airbyte/user_training_v2_streaks_scd.sql
2022-06-07 16:04:49 normalization > 16:04:17.075956 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_incremental/scd/ggpredict_airbyte/coach_match_sub_stats_v2_scd.sql
2022-06-07 16:04:49 normalization > 16:04:17.097489 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_incremental/scd/ggpredict_airbyte/coach_match_sub_stats_v2_scd.sql
2022-06-07 16:04:49 normalization > 16:04:17.099310 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_incremental/scd/ggpredict_airbyte/challenge_maps_scd.sql
2022-06-07 16:04:49 normalization > 16:04:17.121316 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_incremental/scd/ggpredict_airbyte/challenge_maps_scd.sql
2022-06-07 16:04:49 normalization > 16:04:17.123160 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_incremental/scd/ggpredict_airbyte/coach_matches_scd.sql
2022-06-07 16:04:49 normalization > 16:04:17.142646 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_incremental/scd/ggpredict_airbyte/coach_matches_scd.sql
2022-06-07 16:04:49 normalization > 16:04:17.144822 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_incremental/scd/ggpredict_airbyte/coach_match_missplays_in_rounds_scd.sql
2022-06-07 16:04:49 normalization > 16:04:17.163872 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_incremental/scd/ggpredict_airbyte/coach_match_missplays_in_rounds_scd.sql
2022-06-07 16:04:49 normalization > 16:04:17.166040 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_incremental/scd/ggpredict_airbyte/challenges_scd.sql
2022-06-07 16:04:49 normalization > 16:04:17.184963 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_incremental/scd/ggpredict_airbyte/challenges_scd.sql
2022-06-07 16:04:49 normalization > 16:04:17.187070 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_incremental/scd/ggpredict_airbyte/challenge_types_scd.sql
2022-06-07 16:04:49 normalization > 16:04:17.206906 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_incremental/scd/ggpredict_airbyte/challenge_types_scd.sql
2022-06-07 16:04:49 normalization > 16:04:17.209035 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_incremental/scd/ggpredict_airbyte/user_server_weapon_stats_scd.sql
2022-06-07 16:04:49 normalization > 16:04:17.228358 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_incremental/scd/ggpredict_airbyte/user_server_weapon_stats_scd.sql
2022-06-07 16:04:49 normalization > 16:04:17.230512 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_incremental/scd/ggpredict_airbyte/user_server_stats_scd.sql
2022-06-07 16:04:49 normalization > 16:04:17.249841 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_incremental/scd/ggpredict_airbyte/user_server_stats_scd.sql
2022-06-07 16:04:49 normalization > 16:04:17.251937 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_incremental/scd/ggpredict_airbyte/coach_players_scd.sql
2022-06-07 16:04:49 normalization > 16:04:17.270980 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_incremental/scd/ggpredict_airbyte/coach_players_scd.sql
2022-06-07 16:04:49 normalization > 16:04:17.273140 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_incremental/scd/ggpredict_airbyte/coach_match_sub_stats_scd.sql
2022-06-07 16:04:49 normalization > 16:04:17.295072 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_incremental/scd/ggpredict_airbyte/coach_match_sub_stats_scd.sql
2022-06-07 16:04:49 normalization > 16:04:17.296861 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_incremental/scd/ggpredict_airbyte/user_server_live_stats_scd.sql
2022-06-07 16:04:49 normalization > 16:04:17.316015 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_incremental/scd/ggpredict_airbyte/user_server_live_stats_scd.sql
2022-06-07 16:04:49 normalization > 16:04:17.318141 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_incremental/scd/ggpredict_airbyte/missplays_scd.sql
2022-06-07 16:04:49 normalization > 16:04:17.337165 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_incremental/scd/ggpredict_airbyte/missplays_scd.sql
2022-06-07 16:04:49 normalization > 16:04:17.339512 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_incremental/scd/ggpredict_airbyte/user_training_v2_unit_tags_scd.sql
2022-06-07 16:04:49 normalization > 16:04:17.358938 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_incremental/scd/ggpredict_airbyte/user_training_v2_unit_tags_scd.sql
2022-06-07 16:04:49 normalization > 16:04:17.361139 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_incremental/scd/ggpredict_airbyte/coach_match_advanced_stats_v2_scd.sql
2022-06-07 16:04:49 normalization > 16:04:17.382741 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_incremental/scd/ggpredict_airbyte/coach_match_advanced_stats_v2_scd.sql
2022-06-07 16:04:49 normalization > 16:04:17.384515 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_incremental/scd/ggpredict_airbyte/user_challenges_scd.sql
2022-06-07 16:04:49 normalization > 16:04:17.403601 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_incremental/scd/ggpredict_airbyte/user_challenges_scd.sql
2022-06-07 16:04:49 normalization > 16:04:17.405752 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_incremental/scd/ggpredict_airbyte/user_training_v2_levels_scd.sql
2022-06-07 16:04:49 normalization > 16:04:17.424839 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_incremental/scd/ggpredict_airbyte/user_training_v2_levels_scd.sql
2022-06-07 16:04:49 normalization > 16:04:17.426972 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_incremental/scd/ggpredict_airbyte/users_scd.sql
2022-06-07 16:04:49 normalization > 16:04:17.446271 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_incremental/scd/ggpredict_airbyte/users_scd.sql
2022-06-07 16:04:49 normalization > 16:04:17.449000 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_incremental/scd/ggpredict_airbyte/user_training_v2_level_segment_units_scd.sql
2022-06-07 16:04:49 normalization > 16:04:17.469077 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_incremental/scd/ggpredict_airbyte/user_training_v2_level_segment_units_scd.sql
2022-06-07 16:04:49 normalization > 16:04:17.471238 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_incremental/scd/ggpredict_airbyte/coach_match_lineups_scd.sql
2022-06-07 16:04:49 normalization > 16:04:17.491718 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_incremental/scd/ggpredict_airbyte/coach_match_lineups_scd.sql
2022-06-07 16:04:49 normalization > 16:04:17.493920 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_incremental/scd/ggpredict_airbyte/user_training_v2_level_segment_unit_start_sessions_scd.sql
2022-06-07 16:04:49 normalization > 16:04:17.522388 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_incremental/scd/ggpredict_airbyte/user_training_v2_level_segment_unit_start_sessions_scd.sql
2022-06-07 16:04:49 normalization > 16:04:17.525050 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_incremental/scd/ggpredict_airbyte/user_matches_scd.sql
2022-06-07 16:04:49 normalization > 16:04:17.546735 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_incremental/scd/ggpredict_airbyte/user_matches_scd.sql
2022-06-07 16:04:49 normalization > 16:04:17.548556 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_incremental/scd/ggpredict_airbyte/user_training_v2_level_segments_scd.sql
2022-06-07 16:04:49 normalization > 16:04:17.568718 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_incremental/scd/ggpredict_airbyte/user_training_v2_level_segments_scd.sql
2022-06-07 16:04:49 normalization > 16:04:17.570917 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_incremental/scd/ggpredict_airbyte/coach_match_advanced_stats_scd.sql
2022-06-07 16:04:49 normalization > 16:04:17.591729 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_incremental/scd/ggpredict_airbyte/coach_match_advanced_stats_scd.sql
2022-06-07 16:04:49 normalization > 16:04:17.593549 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_incremental/scd/ggpredict_airbyte/user_training_v2_level_segment_unit_stats_scd.sql
2022-06-07 16:04:49 normalization > 16:04:17.612576 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_incremental/scd/ggpredict_airbyte/user_training_v2_level_segment_unit_stats_scd.sql
2022-06-07 16:04:49 normalization > 16:04:17.614732 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_incremental/scd/ggpredict_airbyte/challenge_weapons_scd.sql
2022-06-07 16:04:49 normalization > 16:04:17.635376 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_incremental/scd/ggpredict_airbyte/challenge_weapons_scd.sql
2022-06-07 16:04:49 normalization > 16:04:17.637993 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_incremental/ggpredict_airbyte/challenge_types.sql
2022-06-07 16:04:49 normalization > 16:04:17.647048 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_incremental/ggpredict_airbyte/challenge_types.sql
2022-06-07 16:04:49 normalization > 16:04:17.648643 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_incremental/ggpredict_airbyte/coach_match_advanced_stats.sql
2022-06-07 16:04:49 normalization > 16:04:17.656647 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_incremental/ggpredict_airbyte/coach_match_advanced_stats.sql
2022-06-07 16:04:49 normalization > 16:04:17.658355 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_incremental/ggpredict_airbyte/user_server_live_stats.sql
2022-06-07 16:04:49 normalization > 16:04:17.666358 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_incremental/ggpredict_airbyte/user_server_live_stats.sql
2022-06-07 16:04:49 normalization > 16:04:17.668026 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_incremental/ggpredict_airbyte/user_training_v2_level_segment_unit_start_sessions.sql
2022-06-07 16:04:49 normalization > 16:04:17.676087 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_incremental/ggpredict_airbyte/user_training_v2_level_segment_unit_start_sessions.sql
2022-06-07 16:04:49 normalization > 16:04:17.677829 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_incremental/ggpredict_airbyte/challenges.sql
2022-06-07 16:04:49 normalization > 16:04:17.685863 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_incremental/ggpredict_airbyte/challenges.sql
2022-06-07 16:04:49 normalization > 16:04:17.687594 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_incremental/ggpredict_airbyte/user_training_v2_level_segment_units.sql
2022-06-07 16:04:49 normalization > 16:04:17.695830 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_incremental/ggpredict_airbyte/user_training_v2_level_segment_units.sql
2022-06-07 16:04:49 normalization > 16:04:17.697562 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_incremental/ggpredict_airbyte/user_training_v2_level_segments.sql
2022-06-07 16:04:49 normalization > 16:04:17.706783 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_incremental/ggpredict_airbyte/user_training_v2_level_segments.sql
2022-06-07 16:04:49 normalization > 16:04:17.708456 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_incremental/ggpredict_airbyte/user_training_v2_unit_tags.sql
2022-06-07 16:04:49 normalization > 16:04:17.716437 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_incremental/ggpredict_airbyte/user_training_v2_unit_tags.sql
2022-06-07 16:04:49 normalization > 16:04:17.718162 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_incremental/ggpredict_airbyte/user_challenges.sql
2022-06-07 16:04:49 normalization > 16:04:17.726213 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_incremental/ggpredict_airbyte/user_challenges.sql
2022-06-07 16:04:49 normalization > 16:04:17.727825 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_incremental/ggpredict_airbyte/user_training_v2_level_segment_unit_stats.sql
2022-06-07 16:04:49 normalization > 16:04:17.735867 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_incremental/ggpredict_airbyte/user_training_v2_level_segment_unit_stats.sql
2022-06-07 16:04:49 normalization > 16:04:17.737516 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_incremental/ggpredict_airbyte/users.sql
2022-06-07 16:04:49 normalization > 16:04:17.745877 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_incremental/ggpredict_airbyte/users.sql
2022-06-07 16:04:49 normalization > 16:04:17.747540 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_incremental/ggpredict_airbyte/coach_match_sub_stats.sql
2022-06-07 16:04:49 normalization > 16:04:17.755605 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_incremental/ggpredict_airbyte/coach_match_sub_stats.sql
2022-06-07 16:04:49 normalization > 16:04:17.757334 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_incremental/ggpredict_airbyte/coach_match_lineups.sql
2022-06-07 16:04:49 normalization > 16:04:17.767367 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_incremental/ggpredict_airbyte/coach_match_lineups.sql
2022-06-07 16:04:49 normalization > 16:04:17.769244 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_incremental/ggpredict_airbyte/coach_matches.sql
2022-06-07 16:04:49 normalization > 16:04:17.777230 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_incremental/ggpredict_airbyte/coach_matches.sql
2022-06-07 16:04:49 normalization > 16:04:17.778888 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_incremental/ggpredict_airbyte/coach_players.sql
2022-06-07 16:04:49 normalization > 16:04:17.786884 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_incremental/ggpredict_airbyte/coach_players.sql
2022-06-07 16:04:49 normalization > 16:04:17.788484 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_incremental/ggpredict_airbyte/missplays.sql
2022-06-07 16:04:49 normalization > 16:04:17.796706 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_incremental/ggpredict_airbyte/missplays.sql
2022-06-07 16:04:49 normalization > 16:04:17.798424 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_incremental/ggpredict_airbyte/coach_match_missplays_in_rounds.sql
2022-06-07 16:04:49 normalization > 16:04:17.806557 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_incremental/ggpredict_airbyte/coach_match_missplays_in_rounds.sql
2022-06-07 16:04:49 normalization > 16:04:17.808247 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_incremental/ggpredict_airbyte/user_training_v2_levels.sql
2022-06-07 16:04:49 normalization > 16:04:17.817542 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_incremental/ggpredict_airbyte/user_training_v2_levels.sql
2022-06-07 16:04:49 normalization > 16:04:17.819144 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_incremental/ggpredict_airbyte/challenge_weapons.sql
2022-06-07 16:04:49 normalization > 16:04:17.827227 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_incremental/ggpredict_airbyte/challenge_weapons.sql
2022-06-07 16:04:49 normalization > 16:04:17.828842 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_incremental/ggpredict_airbyte/user_training_v2_streaks.sql
2022-06-07 16:04:49 normalization > 16:04:17.837012 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_incremental/ggpredict_airbyte/user_training_v2_streaks.sql
2022-06-07 16:04:49 normalization > 16:04:17.838804 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_incremental/ggpredict_airbyte/user_server_weapon_stats.sql
2022-06-07 16:04:49 normalization > 16:04:17.846859 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_incremental/ggpredict_airbyte/user_server_weapon_stats.sql
2022-06-07 16:04:49 normalization > 16:04:17.848445 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_incremental/ggpredict_airbyte/challenge_maps.sql
2022-06-07 16:04:49 normalization > 16:04:17.856438 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_incremental/ggpredict_airbyte/challenge_maps.sql
2022-06-07 16:04:49 normalization > 16:04:17.858084 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_incremental/ggpredict_airbyte/coach_match_advanced_stats_v2.sql
2022-06-07 16:04:49 normalization > 16:04:17.866138 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_incremental/ggpredict_airbyte/coach_match_advanced_stats_v2.sql
2022-06-07 16:04:49 normalization > 16:04:17.867735 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_incremental/ggpredict_airbyte/user_server_stats.sql
2022-06-07 16:04:49 normalization > 16:04:17.877213 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_incremental/ggpredict_airbyte/user_server_stats.sql
2022-06-07 16:04:49 normalization > 16:04:17.878960 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_incremental/ggpredict_airbyte/user_matches.sql
2022-06-07 16:04:49 normalization > 16:04:17.894068 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_incremental/ggpredict_airbyte/user_matches.sql
2022-06-07 16:04:49 normalization > 16:04:17.895974 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_incremental/ggpredict_airbyte/coach_match_sub_stats_v2.sql
2022-06-07 16:04:49 normalization > 16:04:17.904475 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_incremental/ggpredict_airbyte/coach_match_sub_stats_v2.sql
2022-06-07 16:04:49 normalization > 16:04:17.906578 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/ggpredict_airbyte/user_training_v2_level_segment_unit_stats_ab1.sql
2022-06-07 16:04:49 normalization > 16:04:17.936834 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/ggpredict_airbyte/user_training_v2_level_segment_unit_stats_ab1.sql
2022-06-07 16:04:49 normalization > 16:04:17.940930 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/ggpredict_airbyte/coach_match_lineups_ab1.sql
2022-06-07 16:04:49 normalization > 16:04:18.091126 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/ggpredict_airbyte/coach_match_lineups_ab1.sql
2022-06-07 16:04:49 normalization > 16:04:18.093217 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/ggpredict_airbyte/user_training_v2_unit_tags_ab1.sql
2022-06-07 16:04:49 normalization > 16:04:18.108947 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/ggpredict_airbyte/user_training_v2_unit_tags_ab1.sql
2022-06-07 16:04:49 normalization > 16:04:18.110635 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/ggpredict_airbyte/user_training_v2_levels_ab2.sql
2022-06-07 16:04:49 normalization > 16:04:18.126451 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/ggpredict_airbyte/user_training_v2_levels_ab2.sql
2022-06-07 16:04:49 normalization > 16:04:18.128244 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/ggpredict_airbyte/user_training_v2_unit_tags_ab2.sql
2022-06-07 16:04:49 normalization > 16:04:18.139195 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/ggpredict_airbyte/user_training_v2_unit_tags_ab2.sql
2022-06-07 16:04:49 normalization > 16:04:18.140758 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/ggpredict_airbyte/coach_match_advanced_stats_v2_ab2.sql
2022-06-07 16:04:49 normalization > 16:04:18.156004 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/ggpredict_airbyte/coach_match_advanced_stats_v2_ab2.sql
2022-06-07 16:04:49 normalization > 16:04:18.157847 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/ggpredict_airbyte/coach_match_sub_stats_ab2.sql
2022-06-07 16:04:49 normalization > 16:04:18.169170 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/ggpredict_airbyte/coach_match_sub_stats_ab2.sql
2022-06-07 16:04:49 normalization > 16:04:18.170679 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/ggpredict_airbyte/user_challenges_ab2.sql
2022-06-07 16:04:49 normalization > 16:04:18.182992 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/ggpredict_airbyte/user_challenges_ab2.sql
2022-06-07 16:04:49 normalization > 16:04:18.184486 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/ggpredict_airbyte/user_matches_ab2.sql
2022-06-07 16:04:49 normalization > 16:04:18.195942 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/ggpredict_airbyte/user_matches_ab2.sql
2022-06-07 16:04:49 normalization > 16:04:18.197483 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/ggpredict_airbyte/coach_match_sub_stats_v2_ab2.sql
2022-06-07 16:04:49 normalization > 16:04:18.208636 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/ggpredict_airbyte/coach_match_sub_stats_v2_ab2.sql
2022-06-07 16:04:49 normalization > 16:04:18.210595 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/ggpredict_airbyte/challenge_weapons_ab1.sql
2022-06-07 16:04:49 normalization > 16:04:18.225061 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/ggpredict_airbyte/challenge_weapons_ab1.sql
2022-06-07 16:04:49 normalization > 16:04:18.226539 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/ggpredict_airbyte/missplays_ab2.sql
2022-06-07 16:04:49 normalization > 16:04:18.236882 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/ggpredict_airbyte/missplays_ab2.sql
2022-06-07 16:04:49 normalization > 16:04:18.238954 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/ggpredict_airbyte/user_server_stats_ab1.sql
2022-06-07 16:04:49 normalization > 16:04:18.265403 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/ggpredict_airbyte/user_server_stats_ab1.sql
2022-06-07 16:04:49 normalization > 16:04:18.267278 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/ggpredict_airbyte/coach_match_sub_stats_ab1.sql
2022-06-07 16:04:49 normalization > 16:04:18.283347 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/ggpredict_airbyte/coach_match_sub_stats_ab1.sql
2022-06-07 16:04:49 normalization > 16:04:18.284838 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/ggpredict_airbyte/user_training_v2_streaks_ab2.sql
2022-06-07 16:04:49 normalization > 16:04:18.337890 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/ggpredict_airbyte/user_training_v2_streaks_ab2.sql
2022-06-07 16:04:49 normalization > 16:04:18.339473 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/ggpredict_airbyte/user_server_live_stats_ab2.sql
2022-06-07 16:04:49 normalization > 16:04:18.351165 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/ggpredict_airbyte/user_server_live_stats_ab2.sql
2022-06-07 16:04:49 normalization > 16:04:18.352775 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/ggpredict_airbyte/coach_match_advanced_stats_ab2.sql
2022-06-07 16:04:49 normalization > 16:04:18.367356 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/ggpredict_airbyte/coach_match_advanced_stats_ab2.sql
2022-06-07 16:04:49 normalization > 16:04:18.369359 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/ggpredict_airbyte/user_training_v2_levels_ab1.sql
2022-06-07 16:04:49 normalization > 16:04:18.387406 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/ggpredict_airbyte/user_training_v2_levels_ab1.sql
2022-06-07 16:04:49 normalization > 16:04:18.388894 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/ggpredict_airbyte/challenge_maps_ab2.sql
2022-06-07 16:04:49 normalization > 16:04:18.400134 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/ggpredict_airbyte/challenge_maps_ab2.sql
2022-06-07 16:04:49 normalization > 16:04:18.402068 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/ggpredict_airbyte/challenges_ab1.sql
2022-06-07 16:04:49 normalization > 16:04:18.427759 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/ggpredict_airbyte/challenges_ab1.sql
2022-06-07 16:04:49 normalization > 16:04:18.429336 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/ggpredict_airbyte/user_training_v2_level_segment_unit_stats_ab2.sql
2022-06-07 16:04:49 normalization > 16:04:18.443091 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/ggpredict_airbyte/user_training_v2_level_segment_unit_stats_ab2.sql
2022-06-07 16:04:49 normalization > 16:04:18.445067 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/ggpredict_airbyte/user_training_v2_level_segment_units_ab1.sql
2022-06-07 16:04:49 normalization > 16:04:18.466600 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/ggpredict_airbyte/user_training_v2_level_segment_units_ab1.sql
2022-06-07 16:04:49 normalization > 16:04:18.468417 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/ggpredict_airbyte/user_training_v2_level_segment_unit_start_sessions_ab1.sql
2022-06-07 16:04:49 normalization > 16:04:18.484513 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/ggpredict_airbyte/user_training_v2_level_segment_unit_start_sessions_ab1.sql
2022-06-07 16:04:49 normalization > 16:04:18.486366 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/ggpredict_airbyte/user_server_live_stats_ab1.sql
2022-06-07 16:04:49 normalization > 16:04:18.502913 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/ggpredict_airbyte/user_server_live_stats_ab1.sql
2022-06-07 16:04:49 normalization > 16:04:18.504492 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/ggpredict_airbyte/user_server_stats_ab2.sql
2022-06-07 16:04:49 normalization > 16:04:18.523826 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/ggpredict_airbyte/user_server_stats_ab2.sql
2022-06-07 16:04:49 normalization > 16:04:18.525400 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/ggpredict_airbyte/coach_match_missplays_in_rounds_ab2.sql
2022-06-07 16:04:49 normalization > 16:04:18.539053 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/ggpredict_airbyte/coach_match_missplays_in_rounds_ab2.sql
2022-06-07 16:04:49 normalization > 16:04:18.541766 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/ggpredict_airbyte/users_ab1.sql
2022-06-07 16:04:49 normalization > 16:04:18.586582 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/ggpredict_airbyte/users_ab1.sql
2022-06-07 16:04:49 normalization > 16:04:18.588759 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/ggpredict_airbyte/challenge_types_ab1.sql
2022-06-07 16:04:49 normalization > 16:04:18.603068 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/ggpredict_airbyte/challenge_types_ab1.sql
2022-06-07 16:04:49 normalization > 16:04:18.605158 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/ggpredict_airbyte/coach_players_ab1.sql
2022-06-07 16:04:49 normalization > 16:04:18.622043 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/ggpredict_airbyte/coach_players_ab1.sql
2022-06-07 16:04:49 normalization > 16:04:18.623935 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/ggpredict_airbyte/user_matches_ab1.sql
2022-06-07 16:04:49 normalization > 16:04:18.640161 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/ggpredict_airbyte/user_matches_ab1.sql
2022-06-07 16:04:49 normalization > 16:04:18.641834 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/ggpredict_airbyte/user_server_weapon_stats_ab2.sql
2022-06-07 16:04:49 normalization > 16:04:18.660295 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/ggpredict_airbyte/user_server_weapon_stats_ab2.sql
2022-06-07 16:04:49 normalization > 16:04:18.661859 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/ggpredict_airbyte/user_training_v2_level_segments_ab2.sql
2022-06-07 16:04:49 normalization > 16:04:18.673963 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/ggpredict_airbyte/user_training_v2_level_segments_ab2.sql
2022-06-07 16:04:49 normalization > 16:04:18.675962 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/ggpredict_airbyte/coach_match_missplays_in_rounds_ab1.sql
2022-06-07 16:04:49 normalization > 16:04:18.695648 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/ggpredict_airbyte/coach_match_missplays_in_rounds_ab1.sql
2022-06-07 16:04:49 normalization > 16:04:18.697153 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/ggpredict_airbyte/challenge_weapons_ab2.sql
2022-06-07 16:04:49 normalization > 16:04:18.707690 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/ggpredict_airbyte/challenge_weapons_ab2.sql
2022-06-07 16:04:49 normalization > 16:04:18.709269 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/ggpredict_airbyte/user_training_v2_level_segment_units_ab2.sql
2022-06-07 16:04:49 normalization > 16:04:18.724936 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/ggpredict_airbyte/user_training_v2_level_segment_units_ab2.sql
2022-06-07 16:04:49 normalization > 16:04:18.726916 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/ggpredict_airbyte/coach_match_advanced_stats_v2_ab1.sql
2022-06-07 16:04:49 normalization > 16:04:18.746917 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/ggpredict_airbyte/coach_match_advanced_stats_v2_ab1.sql
2022-06-07 16:04:49 normalization > 16:04:18.749618 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/ggpredict_airbyte/coach_match_lineups_ab2.sql
2022-06-07 16:04:49 normalization > 16:04:18.822010 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/ggpredict_airbyte/coach_match_lineups_ab2.sql
2022-06-07 16:04:49 normalization > 16:04:18.823509 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/ggpredict_airbyte/challenges_ab2.sql
2022-06-07 16:04:49 normalization > 16:04:18.835450 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/ggpredict_airbyte/challenges_ab2.sql
2022-06-07 16:04:49 normalization > 16:04:18.837203 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/ggpredict_airbyte/users_ab2.sql
2022-06-07 16:04:49 normalization > 16:04:18.862247 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/ggpredict_airbyte/users_ab2.sql
2022-06-07 16:04:49 normalization > 16:04:18.863822 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/ggpredict_airbyte/coach_matches_ab2.sql
2022-06-07 16:04:49 normalization > 16:04:18.880430 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/ggpredict_airbyte/coach_matches_ab2.sql
2022-06-07 16:04:49 normalization > 16:04:18.882294 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/ggpredict_airbyte/user_training_v2_level_segments_ab1.sql
2022-06-07 16:04:49 normalization > 16:04:18.900194 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/ggpredict_airbyte/user_training_v2_level_segments_ab1.sql
2022-06-07 16:04:49 normalization > 16:04:18.902084 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/ggpredict_airbyte/challenge_maps_ab1.sql
2022-06-07 16:04:49 normalization > 16:04:18.915200 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/ggpredict_airbyte/challenge_maps_ab1.sql
2022-06-07 16:04:49 normalization > 16:04:18.917010 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/ggpredict_airbyte/challenge_types_ab2.sql
2022-06-07 16:04:49 normalization > 16:04:18.927208 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/ggpredict_airbyte/challenge_types_ab2.sql
2022-06-07 16:04:49 normalization > 16:04:18.929122 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/ggpredict_airbyte/user_training_v2_streaks_ab1.sql
2022-06-07 16:04:49 normalization > 16:04:18.944196 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/ggpredict_airbyte/user_training_v2_streaks_ab1.sql
2022-06-07 16:04:49 normalization > 16:04:18.946342 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/ggpredict_airbyte/user_server_weapon_stats_ab1.sql
2022-06-07 16:04:49 normalization > 16:04:18.976747 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/ggpredict_airbyte/user_server_weapon_stats_ab1.sql
2022-06-07 16:04:49 normalization > 16:04:18.978697 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/ggpredict_airbyte/user_challenges_ab1.sql
2022-06-07 16:04:49 normalization > 16:04:18.995722 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/ggpredict_airbyte/user_challenges_ab1.sql
2022-06-07 16:04:49 normalization > 16:04:18.997254 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/ggpredict_airbyte/user_training_v2_level_segment_unit_start_sessions_ab2.sql
2022-06-07 16:04:49 normalization > 16:04:19.008745 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/ggpredict_airbyte/user_training_v2_level_segment_unit_start_sessions_ab2.sql
2022-06-07 16:04:49 normalization > 16:04:19.010538 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/ggpredict_airbyte/missplays_ab1.sql
2022-06-07 16:04:49 normalization > 16:04:19.023577 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/ggpredict_airbyte/missplays_ab1.sql
2022-06-07 16:04:49 normalization > 16:04:19.025380 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/ggpredict_airbyte/coach_match_sub_stats_v2_ab1.sql
2022-06-07 16:04:49 normalization > 16:04:19.041801 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/ggpredict_airbyte/coach_match_sub_stats_v2_ab1.sql
2022-06-07 16:04:49 normalization > 16:04:19.043900 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/ggpredict_airbyte/coach_matches_ab1.sql
2022-06-07 16:04:49 normalization > 16:04:19.069443 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/ggpredict_airbyte/coach_matches_ab1.sql
2022-06-07 16:04:49 normalization > 16:04:19.070930 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/ggpredict_airbyte/coach_players_ab2.sql
2022-06-07 16:04:49 normalization > 16:04:19.081669 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/ggpredict_airbyte/coach_players_ab2.sql
2022-06-07 16:04:49 normalization > 16:04:19.083646 [debug] [MainThread]: 1603: static parser failed on generated/airbyte_ctes/ggpredict_airbyte/coach_match_advanced_stats_ab1.sql
2022-06-07 16:04:49 normalization > 16:04:19.105492 [debug] [MainThread]: 1602: parser fallback to jinja rendering on generated/airbyte_ctes/ggpredict_airbyte/coach_match_advanced_stats_ab1.sql
2022-06-07 16:04:49 normalization > 16:04:19.227837 [warn ] [MainThread]: [WARNING]: Configuration paths exist in your dbt_project.yml file which do not apply to any resources.
2022-06-07 16:04:49 normalization > There are 1 unused configuration paths:
2022-06-07 16:04:49 normalization > - models.airbyte_utils.generated.airbyte_tables
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 16:04:19.313516 [info ] [MainThread]: Found 130 models, 0 tests, 0 snapshots, 0 analyses, 544 macros, 0 operations, 0 seed files, 26 sources, 0 exposures, 0 metrics
2022-06-07 16:04:49 normalization > 16:04:19.322788 [info ] [MainThread]: 
2022-06-07 16:04:49 normalization > 16:04:19.323314 [debug] [MainThread]: Acquiring new bigquery connection "master"
2022-06-07 16:04:49 normalization > 16:04:19.329901 [debug] [ThreadPool]: Acquiring new bigquery connection "list_segment-351212"
2022-06-07 16:04:49 normalization > 16:04:19.331063 [debug] [ThreadPool]: Acquiring new bigquery connection "list_segment-351212"
2022-06-07 16:04:49 normalization > 16:04:19.331556 [debug] [ThreadPool]: Opening a new connection, currently in state init
2022-06-07 16:04:49 normalization > 16:04:19.332249 [debug] [ThreadPool]: Opening a new connection, currently in state init
2022-06-07 16:04:49 normalization > 16:04:20.039355 [debug] [ThreadPool]: Acquiring new bigquery connection "create_segment-351212__airbyte_ggpredict_airbyte"
2022-06-07 16:04:49 normalization > 16:04:20.040410 [debug] [ThreadPool]: Acquiring new bigquery connection "create_segment-351212__airbyte_ggpredict_airbyte"
2022-06-07 16:04:49 normalization > 16:04:20.040880 [debug] [ThreadPool]: BigQuery adapter: Creating schema "segment-351212._airbyte_ggpredict_airbyte".
2022-06-07 16:04:49 normalization > 16:04:20.041303 [debug] [ThreadPool]: Opening a new connection, currently in state closed
2022-06-07 16:04:49 normalization > 16:04:22.220182 [debug] [ThreadPool]: Acquiring new bigquery connection "list_segment-351212__airbyte_ggpredict_airbyte"
2022-06-07 16:04:49 normalization > 16:04:22.221646 [debug] [ThreadPool]: Acquiring new bigquery connection "list_segment-351212_ggpredict_airbyte"
2022-06-07 16:04:49 normalization > 16:04:22.222116 [debug] [ThreadPool]: Opening a new connection, currently in state closed
2022-06-07 16:04:49 normalization > 16:04:22.222830 [debug] [ThreadPool]: Opening a new connection, currently in state closed
2022-06-07 16:04:49 normalization > 16:04:22.507408 [info ] [MainThread]: Concurrency: 8 threads (target='prod')
2022-06-07 16:04:49 normalization > 16:04:22.508249 [info ] [MainThread]: 
2022-06-07 16:04:49 normalization > 16:04:22.537365 [debug] [Thread-1  ]: Began running node model.airbyte_utils.challenge_maps_ab1
2022-06-07 16:04:49 normalization > 16:04:22.538074 [debug] [Thread-2  ]: Began running node model.airbyte_utils.challenge_types_ab1
2022-06-07 16:04:49 normalization > 16:04:22.539181 [debug] [Thread-3  ]: Began running node model.airbyte_utils.challenge_weapons_ab1
2022-06-07 16:04:49 normalization > 16:04:22.540465 [debug] [Thread-1  ]: Acquiring new bigquery connection "model.airbyte_utils.challenge_maps_ab1"
2022-06-07 16:04:49 normalization > 16:04:22.540962 [debug] [Thread-4  ]: Began running node model.airbyte_utils.challenges_ab1
2022-06-07 16:04:49 normalization > 16:04:22.542007 [debug] [Thread-5  ]: Began running node model.airbyte_utils.coach_match_advanced_stats_ab1
2022-06-07 16:04:49 normalization > 16:04:22.542684 [debug] [Thread-6  ]: Began running node model.airbyte_utils.coach_match_advanced_stats_v2_ab1
2022-06-07 16:04:49 normalization > 16:04:22.543924 [debug] [Thread-2  ]: Acquiring new bigquery connection "model.airbyte_utils.challenge_types_ab1"
2022-06-07 16:04:49 normalization > 16:04:22.545047 [debug] [Thread-7  ]: Began running node model.airbyte_utils.coach_match_lineups_ab1
2022-06-07 16:04:49 normalization > 16:04:22.545523 [debug] [Thread-8  ]: Began running node model.airbyte_utils.coach_match_missplays_in_rounds_ab1
2022-06-07 16:04:49 normalization > 16:04:22.546285 [debug] [Thread-3  ]: Acquiring new bigquery connection "model.airbyte_utils.challenge_weapons_ab1"
2022-06-07 16:04:49 normalization > 16:04:22.548356 [debug] [Thread-1  ]: Began compiling node model.airbyte_utils.challenge_maps_ab1
2022-06-07 16:04:49 normalization > 16:04:22.549518 [debug] [Thread-4  ]: Acquiring new bigquery connection "model.airbyte_utils.challenges_ab1"
2022-06-07 16:04:49 normalization > 16:04:22.550662 [debug] [Thread-5  ]: Acquiring new bigquery connection "model.airbyte_utils.coach_match_advanced_stats_ab1"
2022-06-07 16:04:49 normalization > 16:04:22.551495 [debug] [Thread-6  ]: Acquiring new bigquery connection "model.airbyte_utils.coach_match_advanced_stats_v2_ab1"
2022-06-07 16:04:49 normalization > 16:04:22.551936 [debug] [Thread-2  ]: Began compiling node model.airbyte_utils.challenge_types_ab1
2022-06-07 16:04:49 normalization > 16:04:22.553140 [debug] [Thread-7  ]: Acquiring new bigquery connection "model.airbyte_utils.coach_match_lineups_ab1"
2022-06-07 16:04:49 normalization > 16:04:22.553975 [debug] [Thread-8  ]: Acquiring new bigquery connection "model.airbyte_utils.coach_match_missplays_in_rounds_ab1"
2022-06-07 16:04:49 normalization > 16:04:22.554255 [debug] [Thread-3  ]: Began compiling node model.airbyte_utils.challenge_weapons_ab1
2022-06-07 16:04:49 normalization > 16:04:22.554699 [debug] [Thread-1  ]: Compiling model.airbyte_utils.challenge_maps_ab1
2022-06-07 16:04:49 normalization > 16:04:22.555262 [debug] [Thread-4  ]: Began compiling node model.airbyte_utils.challenges_ab1
2022-06-07 16:04:49 normalization > 16:04:22.555894 [debug] [Thread-5  ]: Began compiling node model.airbyte_utils.coach_match_advanced_stats_ab1
2022-06-07 16:04:49 normalization > 16:04:22.556388 [debug] [Thread-6  ]: Began compiling node model.airbyte_utils.coach_match_advanced_stats_v2_ab1
2022-06-07 16:04:49 normalization > 16:04:22.556857 [debug] [Thread-2  ]: Compiling model.airbyte_utils.challenge_types_ab1
2022-06-07 16:04:49 normalization > 16:04:22.557403 [debug] [Thread-7  ]: Began compiling node model.airbyte_utils.coach_match_lineups_ab1
2022-06-07 16:04:49 normalization > 16:04:22.557893 [debug] [Thread-8  ]: Began compiling node model.airbyte_utils.coach_match_missplays_in_rounds_ab1
2022-06-07 16:04:49 normalization > 16:04:22.558245 [debug] [Thread-3  ]: Compiling model.airbyte_utils.challenge_weapons_ab1
2022-06-07 16:04:49 normalization > 16:04:22.585768 [debug] [Thread-1  ]: Writing injected SQL for node "model.airbyte_utils.challenge_maps_ab1"
2022-06-07 16:04:49 normalization > 16:04:22.586158 [debug] [Thread-4  ]: Compiling model.airbyte_utils.challenges_ab1
2022-06-07 16:04:49 normalization > 16:04:22.586711 [debug] [Thread-5  ]: Compiling model.airbyte_utils.coach_match_advanced_stats_ab1
2022-06-07 16:04:49 normalization > 16:04:22.587157 [debug] [Thread-6  ]: Compiling model.airbyte_utils.coach_match_advanced_stats_v2_ab1
2022-06-07 16:04:49 normalization > 16:04:22.610801 [debug] [Thread-2  ]: Writing injected SQL for node "model.airbyte_utils.challenge_types_ab1"
2022-06-07 16:04:49 normalization > 16:04:22.611174 [debug] [Thread-7  ]: Compiling model.airbyte_utils.coach_match_lineups_ab1
2022-06-07 16:04:49 normalization > 16:04:22.611719 [debug] [Thread-8  ]: Compiling model.airbyte_utils.coach_match_missplays_in_rounds_ab1
2022-06-07 16:04:49 normalization > 16:04:22.635635 [debug] [Thread-3  ]: Writing injected SQL for node "model.airbyte_utils.challenge_weapons_ab1"
2022-06-07 16:04:49 normalization > 16:04:22.661395 [debug] [Thread-4  ]: Writing injected SQL for node "model.airbyte_utils.challenges_ab1"
2022-06-07 16:04:49 normalization > 16:04:22.694566 [debug] [Thread-5  ]: Writing injected SQL for node "model.airbyte_utils.coach_match_advanced_stats_ab1"
2022-06-07 16:04:49 normalization > 16:04:22.716533 [debug] [Thread-1  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:22.725726 [debug] [Thread-6  ]: Writing injected SQL for node "model.airbyte_utils.coach_match_advanced_stats_v2_ab1"
2022-06-07 16:04:49 normalization > 16:04:22.742094 [debug] [Thread-2  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:22.825562 [debug] [Thread-8  ]: Writing injected SQL for node "model.airbyte_utils.coach_match_missplays_in_rounds_ab1"
2022-06-07 16:04:49 normalization > 16:04:22.893591 [debug] [Thread-4  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:22.914261 [debug] [Thread-3  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:22.941180 [debug] [Thread-7  ]: Writing injected SQL for node "model.airbyte_utils.coach_match_lineups_ab1"
2022-06-07 16:04:49 normalization > 16:04:22.942375 [debug] [Thread-1  ]: Finished running node model.airbyte_utils.challenge_maps_ab1
2022-06-07 16:04:49 normalization > 16:04:22.942783 [debug] [Thread-5  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:22.944331 [debug] [Thread-2  ]: Finished running node model.airbyte_utils.challenge_types_ab1
2022-06-07 16:04:49 normalization > 16:04:22.944805 [debug] [Thread-6  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:22.945765 [debug] [Thread-4  ]: Finished running node model.airbyte_utils.challenges_ab1
2022-06-07 16:04:49 normalization > 16:04:22.946200 [debug] [Thread-8  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:22.947263 [debug] [Thread-3  ]: Finished running node model.airbyte_utils.challenge_weapons_ab1
2022-06-07 16:04:49 normalization > 16:04:22.948131 [debug] [Thread-1  ]: Began running node model.airbyte_utils.coach_match_sub_stats_ab1
2022-06-07 16:04:49 normalization > 16:04:22.948448 [debug] [Thread-7  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:22.950215 [debug] [Thread-5  ]: Finished running node model.airbyte_utils.coach_match_advanced_stats_ab1
2022-06-07 16:04:49 normalization > 16:04:22.950853 [debug] [Thread-2  ]: Began running node model.airbyte_utils.coach_match_sub_stats_v2_ab1
2022-06-07 16:04:49 normalization > 16:04:22.952660 [debug] [Thread-6  ]: Finished running node model.airbyte_utils.coach_match_advanced_stats_v2_ab1
2022-06-07 16:04:49 normalization > 16:04:22.953191 [debug] [Thread-4  ]: Began running node model.airbyte_utils.coach_matches_ab1
2022-06-07 16:04:49 normalization > 16:04:22.955172 [debug] [Thread-8  ]: Finished running node model.airbyte_utils.coach_match_missplays_in_rounds_ab1
2022-06-07 16:04:49 normalization > 16:04:22.955858 [debug] [Thread-3  ]: Began running node model.airbyte_utils.coach_players_ab1
2022-06-07 16:04:49 normalization > 16:04:22.957172 [debug] [Thread-1  ]: Acquiring new bigquery connection "model.airbyte_utils.coach_match_sub_stats_ab1"
2022-06-07 16:04:49 normalization > 16:04:22.958186 [debug] [Thread-7  ]: Finished running node model.airbyte_utils.coach_match_lineups_ab1
2022-06-07 16:04:49 normalization > 16:04:22.958827 [debug] [Thread-5  ]: Began running node model.airbyte_utils.missplays_ab1
2022-06-07 16:04:49 normalization > 16:04:22.960691 [debug] [Thread-2  ]: Acquiring new bigquery connection "model.airbyte_utils.coach_match_sub_stats_v2_ab1"
2022-06-07 16:04:49 normalization > 16:04:22.961314 [debug] [Thread-6  ]: Began running node model.airbyte_utils.user_challenges_ab1
2022-06-07 16:04:49 normalization > 16:04:22.962546 [debug] [Thread-4  ]: Acquiring new bigquery connection "model.airbyte_utils.coach_matches_ab1"
2022-06-07 16:04:49 normalization > 16:04:22.963309 [debug] [Thread-8  ]: Began running node model.airbyte_utils.user_matches_ab1
2022-06-07 16:04:49 normalization > 16:04:22.965037 [debug] [Thread-3  ]: Acquiring new bigquery connection "model.airbyte_utils.coach_players_ab1"
2022-06-07 16:04:49 normalization > 16:04:22.965447 [debug] [Thread-1  ]: Began compiling node model.airbyte_utils.coach_match_sub_stats_ab1
2022-06-07 16:04:49 normalization > 16:04:22.965900 [debug] [Thread-7  ]: Began running node model.airbyte_utils.user_server_live_stats_ab1
2022-06-07 16:04:49 normalization > 16:04:22.967576 [debug] [Thread-5  ]: Acquiring new bigquery connection "model.airbyte_utils.missplays_ab1"
2022-06-07 16:04:49 normalization > 16:04:22.968150 [debug] [Thread-2  ]: Began compiling node model.airbyte_utils.coach_match_sub_stats_v2_ab1
2022-06-07 16:04:49 normalization > 16:04:22.969197 [debug] [Thread-6  ]: Acquiring new bigquery connection "model.airbyte_utils.user_challenges_ab1"
2022-06-07 16:04:49 normalization > 16:04:22.969606 [debug] [Thread-4  ]: Began compiling node model.airbyte_utils.coach_matches_ab1
2022-06-07 16:04:49 normalization > 16:04:22.970372 [debug] [Thread-8  ]: Acquiring new bigquery connection "model.airbyte_utils.user_matches_ab1"
2022-06-07 16:04:49 normalization > 16:04:22.970913 [debug] [Thread-3  ]: Began compiling node model.airbyte_utils.coach_players_ab1
2022-06-07 16:04:49 normalization > 16:04:22.971415 [debug] [Thread-1  ]: Compiling model.airbyte_utils.coach_match_sub_stats_ab1
2022-06-07 16:04:49 normalization > 16:04:22.978757 [debug] [Thread-7  ]: Acquiring new bigquery connection "model.airbyte_utils.user_server_live_stats_ab1"
2022-06-07 16:04:49 normalization > 16:04:22.979094 [debug] [Thread-5  ]: Began compiling node model.airbyte_utils.missplays_ab1
2022-06-07 16:04:49 normalization > 16:04:22.979592 [debug] [Thread-2  ]: Compiling model.airbyte_utils.coach_match_sub_stats_v2_ab1
2022-06-07 16:04:49 normalization > 16:04:22.980100 [debug] [Thread-6  ]: Began compiling node model.airbyte_utils.user_challenges_ab1
2022-06-07 16:04:49 normalization > 16:04:22.980409 [debug] [Thread-4  ]: Compiling model.airbyte_utils.coach_matches_ab1
2022-06-07 16:04:49 normalization > 16:04:22.980708 [debug] [Thread-8  ]: Began compiling node model.airbyte_utils.user_matches_ab1
2022-06-07 16:04:49 normalization > 16:04:22.980965 [debug] [Thread-3  ]: Compiling model.airbyte_utils.coach_players_ab1
2022-06-07 16:04:49 normalization > 16:04:22.998681 [debug] [Thread-1  ]: Writing injected SQL for node "model.airbyte_utils.coach_match_sub_stats_ab1"
2022-06-07 16:04:49 normalization > 16:04:22.998867 [debug] [Thread-7  ]: Began compiling node model.airbyte_utils.user_server_live_stats_ab1
2022-06-07 16:04:49 normalization > 16:04:22.999163 [debug] [Thread-5  ]: Compiling model.airbyte_utils.missplays_ab1
2022-06-07 16:04:49 normalization > 16:04:23.020593 [debug] [Thread-2  ]: Writing injected SQL for node "model.airbyte_utils.coach_match_sub_stats_v2_ab1"
2022-06-07 16:04:49 normalization > 16:04:23.020936 [debug] [Thread-6  ]: Compiling model.airbyte_utils.user_challenges_ab1
2022-06-07 16:04:49 normalization > 16:04:23.042076 [debug] [Thread-8  ]: Compiling model.airbyte_utils.user_matches_ab1
2022-06-07 16:04:49 normalization > 16:04:23.059674 [debug] [Thread-4  ]: Writing injected SQL for node "model.airbyte_utils.coach_matches_ab1"
2022-06-07 16:04:49 normalization > 16:04:23.078881 [debug] [Thread-3  ]: Writing injected SQL for node "model.airbyte_utils.coach_players_ab1"
2022-06-07 16:04:49 normalization > 16:04:23.079701 [debug] [Thread-7  ]: Compiling model.airbyte_utils.user_server_live_stats_ab1
2022-06-07 16:04:49 normalization > 16:04:23.080071 [debug] [Thread-1  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:23.101831 [debug] [Thread-5  ]: Writing injected SQL for node "model.airbyte_utils.missplays_ab1"
2022-06-07 16:04:49 normalization > 16:04:23.127461 [debug] [Thread-6  ]: Writing injected SQL for node "model.airbyte_utils.user_challenges_ab1"
2022-06-07 16:04:49 normalization > 16:04:23.127732 [debug] [Thread-2  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:23.151175 [debug] [Thread-8  ]: Writing injected SQL for node "model.airbyte_utils.user_matches_ab1"
2022-06-07 16:04:49 normalization > 16:04:23.151774 [debug] [Thread-4  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:23.167871 [debug] [Thread-1  ]: Finished running node model.airbyte_utils.coach_match_sub_stats_ab1
2022-06-07 16:04:49 normalization > 16:04:23.172385 [debug] [Thread-7  ]: Writing injected SQL for node "model.airbyte_utils.user_server_live_stats_ab1"
2022-06-07 16:04:49 normalization > 16:04:23.172976 [debug] [Thread-3  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:23.173751 [debug] [Thread-6  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:23.174007 [debug] [Thread-5  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:23.175169 [debug] [Thread-2  ]: Finished running node model.airbyte_utils.coach_match_sub_stats_v2_ab1
2022-06-07 16:04:49 normalization > 16:04:23.176096 [debug] [Thread-4  ]: Finished running node model.airbyte_utils.coach_matches_ab1
2022-06-07 16:04:49 normalization > 16:04:23.176437 [debug] [Thread-8  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:23.176943 [debug] [Thread-1  ]: Began running node model.airbyte_utils.user_server_stats_ab1
2022-06-07 16:04:49 normalization > 16:04:23.178116 [debug] [Thread-7  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:23.178831 [debug] [Thread-3  ]: Finished running node model.airbyte_utils.coach_players_ab1
2022-06-07 16:04:49 normalization > 16:04:23.179799 [debug] [Thread-6  ]: Finished running node model.airbyte_utils.user_challenges_ab1
2022-06-07 16:04:49 normalization > 16:04:23.180603 [debug] [Thread-5  ]: Finished running node model.airbyte_utils.missplays_ab1
2022-06-07 16:04:49 normalization > 16:04:23.181279 [debug] [Thread-2  ]: Began running node model.airbyte_utils.user_server_weapon_stats_ab1
2022-06-07 16:04:49 normalization > 16:04:23.182414 [debug] [Thread-4  ]: Began running node model.airbyte_utils.user_training_v2_level_segment_unit_start_sessions_ab1
2022-06-07 16:04:49 normalization > 16:04:23.183641 [debug] [Thread-8  ]: Finished running node model.airbyte_utils.user_matches_ab1
2022-06-07 16:04:49 normalization > 16:04:23.184553 [debug] [Thread-1  ]: Acquiring new bigquery connection "model.airbyte_utils.user_server_stats_ab1"
2022-06-07 16:04:49 normalization > 16:04:23.185251 [debug] [Thread-7  ]: Finished running node model.airbyte_utils.user_server_live_stats_ab1
2022-06-07 16:04:49 normalization > 16:04:23.185648 [debug] [Thread-3  ]: Began running node model.airbyte_utils.user_training_v2_level_segment_unit_stats_ab1
2022-06-07 16:04:49 normalization > 16:04:23.186671 [debug] [Thread-6  ]: Began running node model.airbyte_utils.user_training_v2_level_segment_units_ab1
2022-06-07 16:04:49 normalization > 16:04:23.187835 [debug] [Thread-5  ]: Began running node model.airbyte_utils.user_training_v2_level_segments_ab1
2022-06-07 16:04:49 normalization > 16:04:23.189204 [debug] [Thread-2  ]: Acquiring new bigquery connection "model.airbyte_utils.user_server_weapon_stats_ab1"
2022-06-07 16:04:49 normalization > 16:04:23.189879 [debug] [Thread-4  ]: Acquiring new bigquery connection "model.airbyte_utils.user_training_v2_level_segment_unit_start_sessions_ab1"
2022-06-07 16:04:49 normalization > 16:04:23.190171 [debug] [Thread-8  ]: Began running node model.airbyte_utils.user_training_v2_levels_ab1
2022-06-07 16:04:49 normalization > 16:04:23.191217 [debug] [Thread-1  ]: Began compiling node model.airbyte_utils.user_server_stats_ab1
2022-06-07 16:04:49 normalization > 16:04:23.191718 [debug] [Thread-7  ]: Began running node model.airbyte_utils.user_training_v2_streaks_ab1
2022-06-07 16:04:49 normalization > 16:04:23.193075 [debug] [Thread-3  ]: Acquiring new bigquery connection "model.airbyte_utils.user_training_v2_level_segment_unit_stats_ab1"
2022-06-07 16:04:49 normalization > 16:04:23.193859 [debug] [Thread-6  ]: Acquiring new bigquery connection "model.airbyte_utils.user_training_v2_level_segment_units_ab1"
2022-06-07 16:04:49 normalization > 16:04:23.194759 [debug] [Thread-5  ]: Acquiring new bigquery connection "model.airbyte_utils.user_training_v2_level_segments_ab1"
2022-06-07 16:04:49 normalization > 16:04:23.195176 [debug] [Thread-2  ]: Began compiling node model.airbyte_utils.user_server_weapon_stats_ab1
2022-06-07 16:04:49 normalization > 16:04:23.195546 [debug] [Thread-4  ]: Began compiling node model.airbyte_utils.user_training_v2_level_segment_unit_start_sessions_ab1
2022-06-07 16:04:49 normalization > 16:04:23.196234 [debug] [Thread-8  ]: Acquiring new bigquery connection "model.airbyte_utils.user_training_v2_levels_ab1"
2022-06-07 16:04:49 normalization > 16:04:23.196676 [debug] [Thread-1  ]: Compiling model.airbyte_utils.user_server_stats_ab1
2022-06-07 16:04:49 normalization > 16:04:23.197462 [debug] [Thread-7  ]: Acquiring new bigquery connection "model.airbyte_utils.user_training_v2_streaks_ab1"
2022-06-07 16:04:49 normalization > 16:04:23.197771 [debug] [Thread-3  ]: Began compiling node model.airbyte_utils.user_training_v2_level_segment_unit_stats_ab1
2022-06-07 16:04:49 normalization > 16:04:23.198067 [debug] [Thread-6  ]: Began compiling node model.airbyte_utils.user_training_v2_level_segment_units_ab1
2022-06-07 16:04:49 normalization > 16:04:23.198383 [debug] [Thread-5  ]: Began compiling node model.airbyte_utils.user_training_v2_level_segments_ab1
2022-06-07 16:04:49 normalization > 16:04:23.198743 [debug] [Thread-2  ]: Compiling model.airbyte_utils.user_server_weapon_stats_ab1
2022-06-07 16:04:49 normalization > 16:04:23.199065 [debug] [Thread-4  ]: Compiling model.airbyte_utils.user_training_v2_level_segment_unit_start_sessions_ab1
2022-06-07 16:04:49 normalization > 16:04:23.199379 [debug] [Thread-8  ]: Began compiling node model.airbyte_utils.user_training_v2_levels_ab1
2022-06-07 16:04:49 normalization > 16:04:23.230674 [debug] [Thread-7  ]: Began compiling node model.airbyte_utils.user_training_v2_streaks_ab1
2022-06-07 16:04:49 normalization > 16:04:23.235349 [debug] [Thread-1  ]: Writing injected SQL for node "model.airbyte_utils.user_server_stats_ab1"
2022-06-07 16:04:49 normalization > 16:04:23.235663 [debug] [Thread-3  ]: Compiling model.airbyte_utils.user_training_v2_level_segment_unit_stats_ab1
2022-06-07 16:04:49 normalization > 16:04:23.235985 [debug] [Thread-6  ]: Compiling model.airbyte_utils.user_training_v2_level_segment_units_ab1
2022-06-07 16:04:49 normalization > 16:04:23.236393 [debug] [Thread-5  ]: Compiling model.airbyte_utils.user_training_v2_level_segments_ab1
2022-06-07 16:04:49 normalization > 16:04:23.283382 [debug] [Thread-2  ]: Writing injected SQL for node "model.airbyte_utils.user_server_weapon_stats_ab1"
2022-06-07 16:04:49 normalization > 16:04:23.298753 [debug] [Thread-4  ]: Writing injected SQL for node "model.airbyte_utils.user_training_v2_level_segment_unit_start_sessions_ab1"
2022-06-07 16:04:49 normalization > 16:04:23.298916 [debug] [Thread-8  ]: Compiling model.airbyte_utils.user_training_v2_levels_ab1
2022-06-07 16:04:49 normalization > 16:04:23.299113 [debug] [Thread-7  ]: Compiling model.airbyte_utils.user_training_v2_streaks_ab1
2022-06-07 16:04:49 normalization > 16:04:23.333070 [debug] [Thread-3  ]: Writing injected SQL for node "model.airbyte_utils.user_training_v2_level_segment_unit_stats_ab1"
2022-06-07 16:04:49 normalization > 16:04:23.333471 [debug] [Thread-1  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:23.376485 [debug] [Thread-6  ]: Writing injected SQL for node "model.airbyte_utils.user_training_v2_level_segment_units_ab1"
2022-06-07 16:04:49 normalization > 16:04:23.388717 [debug] [Thread-5  ]: Writing injected SQL for node "model.airbyte_utils.user_training_v2_level_segments_ab1"
2022-06-07 16:04:49 normalization > 16:04:23.389457 [debug] [Thread-2  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:23.405551 [debug] [Thread-4  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:23.417494 [debug] [Thread-8  ]: Writing injected SQL for node "model.airbyte_utils.user_training_v2_levels_ab1"
2022-06-07 16:04:49 normalization > 16:04:23.442462 [debug] [Thread-7  ]: Writing injected SQL for node "model.airbyte_utils.user_training_v2_streaks_ab1"
2022-06-07 16:04:49 normalization > 16:04:23.443277 [debug] [Thread-1  ]: Finished running node model.airbyte_utils.user_server_stats_ab1
2022-06-07 16:04:49 normalization > 16:04:23.443869 [debug] [Thread-3  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:23.444933 [debug] [Thread-6  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:23.445170 [debug] [Thread-5  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:23.446056 [debug] [Thread-2  ]: Finished running node model.airbyte_utils.user_server_weapon_stats_ab1
2022-06-07 16:04:49 normalization > 16:04:23.446814 [debug] [Thread-4  ]: Finished running node model.airbyte_utils.user_training_v2_level_segment_unit_start_sessions_ab1
2022-06-07 16:04:49 normalization > 16:04:23.447453 [debug] [Thread-8  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:23.447865 [debug] [Thread-1  ]: Began running node model.airbyte_utils.user_training_v2_unit_tags_ab1
2022-06-07 16:04:49 normalization > 16:04:23.448019 [debug] [Thread-7  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:23.449530 [debug] [Thread-3  ]: Finished running node model.airbyte_utils.user_training_v2_level_segment_unit_stats_ab1
2022-06-07 16:04:49 normalization > 16:04:23.450217 [debug] [Thread-6  ]: Finished running node model.airbyte_utils.user_training_v2_level_segment_units_ab1
2022-06-07 16:04:49 normalization > 16:04:23.450890 [debug] [Thread-5  ]: Finished running node model.airbyte_utils.user_training_v2_level_segments_ab1
2022-06-07 16:04:49 normalization > 16:04:23.451421 [debug] [Thread-2  ]: Began running node model.airbyte_utils.users_ab1
2022-06-07 16:04:49 normalization > 16:04:23.452600 [debug] [Thread-4  ]: Began running node model.airbyte_utils.challenge_maps_ab2
2022-06-07 16:04:49 normalization > 16:04:23.454003 [debug] [Thread-8  ]: Finished running node model.airbyte_utils.user_training_v2_levels_ab1
2022-06-07 16:04:49 normalization > 16:04:23.454592 [debug] [Thread-1  ]: Acquiring new bigquery connection "model.airbyte_utils.user_training_v2_unit_tags_ab1"
2022-06-07 16:04:49 normalization > 16:04:23.455058 [debug] [Thread-7  ]: Finished running node model.airbyte_utils.user_training_v2_streaks_ab1
2022-06-07 16:04:49 normalization > 16:04:23.455548 [debug] [Thread-3  ]: Began running node model.airbyte_utils.challenge_types_ab2
2022-06-07 16:04:49 normalization > 16:04:23.456568 [debug] [Thread-6  ]: Began running node model.airbyte_utils.challenges_ab2
2022-06-07 16:04:49 normalization > 16:04:23.457676 [debug] [Thread-5  ]: Began running node model.airbyte_utils.challenge_weapons_ab2
2022-06-07 16:04:49 normalization > 16:04:23.460262 [debug] [Thread-2  ]: Acquiring new bigquery connection "model.airbyte_utils.users_ab1"
2022-06-07 16:04:49 normalization > 16:04:23.461308 [debug] [Thread-4  ]: Acquiring new bigquery connection "model.airbyte_utils.challenge_maps_ab2"
2022-06-07 16:04:49 normalization > 16:04:23.461767 [debug] [Thread-8  ]: Began running node model.airbyte_utils.coach_match_advanced_stats_ab2
2022-06-07 16:04:49 normalization > 16:04:23.462765 [debug] [Thread-1  ]: Began compiling node model.airbyte_utils.user_training_v2_unit_tags_ab1
2022-06-07 16:04:49 normalization > 16:04:23.463210 [debug] [Thread-7  ]: Began running node model.airbyte_utils.coach_match_advanced_stats_v2_ab2
2022-06-07 16:04:49 normalization > 16:04:23.464513 [debug] [Thread-3  ]: Acquiring new bigquery connection "model.airbyte_utils.challenge_types_ab2"
2022-06-07 16:04:49 normalization > 16:04:23.465215 [debug] [Thread-6  ]: Acquiring new bigquery connection "model.airbyte_utils.challenges_ab2"
2022-06-07 16:04:49 normalization > 16:04:23.466043 [debug] [Thread-5  ]: Acquiring new bigquery connection "model.airbyte_utils.challenge_weapons_ab2"
2022-06-07 16:04:49 normalization > 16:04:23.466491 [debug] [Thread-2  ]: Began compiling node model.airbyte_utils.users_ab1
2022-06-07 16:04:49 normalization > 16:04:23.466921 [debug] [Thread-4  ]: Began compiling node model.airbyte_utils.challenge_maps_ab2
2022-06-07 16:04:49 normalization > 16:04:23.467785 [debug] [Thread-8  ]: Acquiring new bigquery connection "model.airbyte_utils.coach_match_advanced_stats_ab2"
2022-06-07 16:04:49 normalization > 16:04:23.468213 [debug] [Thread-1  ]: Compiling model.airbyte_utils.user_training_v2_unit_tags_ab1
2022-06-07 16:04:49 normalization > 16:04:23.468860 [debug] [Thread-7  ]: Acquiring new bigquery connection "model.airbyte_utils.coach_match_advanced_stats_v2_ab2"
2022-06-07 16:04:49 normalization > 16:04:23.469283 [debug] [Thread-3  ]: Began compiling node model.airbyte_utils.challenge_types_ab2
2022-06-07 16:04:49 normalization > 16:04:23.469693 [debug] [Thread-6  ]: Began compiling node model.airbyte_utils.challenges_ab2
2022-06-07 16:04:49 normalization > 16:04:23.470094 [debug] [Thread-5  ]: Began compiling node model.airbyte_utils.challenge_weapons_ab2
2022-06-07 16:04:49 normalization > 16:04:23.470561 [debug] [Thread-2  ]: Compiling model.airbyte_utils.users_ab1
2022-06-07 16:04:49 normalization > 16:04:23.470999 [debug] [Thread-4  ]: Compiling model.airbyte_utils.challenge_maps_ab2
2022-06-07 16:04:49 normalization > 16:04:23.471430 [debug] [Thread-8  ]: Began compiling node model.airbyte_utils.coach_match_advanced_stats_ab2
2022-06-07 16:04:49 normalization > 16:04:23.493926 [debug] [Thread-1  ]: Writing injected SQL for node "model.airbyte_utils.user_training_v2_unit_tags_ab1"
2022-06-07 16:04:49 normalization > 16:04:23.494106 [debug] [Thread-7  ]: Began compiling node model.airbyte_utils.coach_match_advanced_stats_v2_ab2
2022-06-07 16:04:49 normalization > 16:04:23.494484 [debug] [Thread-3  ]: Compiling model.airbyte_utils.challenge_types_ab2
2022-06-07 16:04:49 normalization > 16:04:23.494924 [debug] [Thread-6  ]: Compiling model.airbyte_utils.challenges_ab2
2022-06-07 16:04:49 normalization > 16:04:23.495297 [debug] [Thread-5  ]: Compiling model.airbyte_utils.challenge_weapons_ab2
2022-06-07 16:04:49 normalization > 16:04:23.589758 [debug] [Thread-8  ]: Compiling model.airbyte_utils.coach_match_advanced_stats_ab2
2022-06-07 16:04:49 normalization > 16:04:23.603817 [debug] [Thread-2  ]: Writing injected SQL for node "model.airbyte_utils.users_ab1"
2022-06-07 16:04:49 normalization > 16:04:23.610725 [debug] [Thread-4  ]: Writing injected SQL for node "model.airbyte_utils.challenge_maps_ab2"
2022-06-07 16:04:49 normalization > 16:04:23.611323 [debug] [Thread-7  ]: Compiling model.airbyte_utils.coach_match_advanced_stats_v2_ab2
2022-06-07 16:04:49 normalization > 16:04:23.611859 [debug] [Thread-1  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:23.648298 [debug] [Thread-3  ]: Writing injected SQL for node "model.airbyte_utils.challenge_types_ab2"
2022-06-07 16:04:49 normalization > 16:04:23.678987 [debug] [Thread-6  ]: Writing injected SQL for node "model.airbyte_utils.challenges_ab2"
2022-06-07 16:04:49 normalization > 16:04:23.713380 [debug] [Thread-5  ]: Writing injected SQL for node "model.airbyte_utils.challenge_weapons_ab2"
2022-06-07 16:04:49 normalization > 16:04:23.752007 [debug] [Thread-8  ]: Writing injected SQL for node "model.airbyte_utils.coach_match_advanced_stats_ab2"
2022-06-07 16:04:49 normalization > 16:04:23.758027 [debug] [Thread-2  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:23.758411 [debug] [Thread-4  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:23.788204 [debug] [Thread-7  ]: Writing injected SQL for node "model.airbyte_utils.coach_match_advanced_stats_v2_ab2"
2022-06-07 16:04:49 normalization > 16:04:23.789142 [debug] [Thread-1  ]: Finished running node model.airbyte_utils.user_training_v2_unit_tags_ab1
2022-06-07 16:04:49 normalization > 16:04:23.790089 [debug] [Thread-6  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:23.790350 [debug] [Thread-3  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:23.791049 [debug] [Thread-8  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:23.791853 [debug] [Thread-2  ]: Finished running node model.airbyte_utils.users_ab1
2022-06-07 16:04:49 normalization > 16:04:23.792214 [debug] [Thread-5  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:23.793105 [debug] [Thread-4  ]: Finished running node model.airbyte_utils.challenge_maps_ab2
2022-06-07 16:04:49 normalization > 16:04:23.793647 [debug] [Thread-7  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:23.794000 [debug] [Thread-1  ]: Began running node model.airbyte_utils.coach_match_missplays_in_rounds_ab2
2022-06-07 16:04:49 normalization > 16:04:23.795024 [debug] [Thread-6  ]: Finished running node model.airbyte_utils.challenges_ab2
2022-06-07 16:04:49 normalization > 16:04:23.795990 [debug] [Thread-3  ]: Finished running node model.airbyte_utils.challenge_types_ab2
2022-06-07 16:04:49 normalization > 16:04:23.796656 [debug] [Thread-8  ]: Finished running node model.airbyte_utils.coach_match_advanced_stats_ab2
2022-06-07 16:04:49 normalization > 16:04:23.797167 [debug] [Thread-2  ]: Began running node model.airbyte_utils.coach_match_lineups_ab2
2022-06-07 16:04:49 normalization > 16:04:23.798805 [debug] [Thread-5  ]: Finished running node model.airbyte_utils.challenge_weapons_ab2
2022-06-07 16:04:49 normalization > 16:04:23.799343 [debug] [Thread-4  ]: Began running node model.airbyte_utils.coach_match_sub_stats_ab2
2022-06-07 16:04:49 normalization > 16:04:23.800352 [debug] [Thread-7  ]: Finished running node model.airbyte_utils.coach_match_advanced_stats_v2_ab2
2022-06-07 16:04:49 normalization > 16:04:23.801432 [debug] [Thread-1  ]: Acquiring new bigquery connection "model.airbyte_utils.coach_match_missplays_in_rounds_ab2"
2022-06-07 16:04:49 normalization > 16:04:23.801881 [debug] [Thread-6  ]: Began running node model.airbyte_utils.coach_match_sub_stats_v2_ab2
2022-06-07 16:04:49 normalization > 16:04:23.802948 [debug] [Thread-3  ]: Began running node model.airbyte_utils.coach_matches_ab2
2022-06-07 16:04:49 normalization > 16:04:23.803973 [debug] [Thread-8  ]: Began running node model.airbyte_utils.coach_players_ab2
2022-06-07 16:04:49 normalization > 16:04:23.805522 [debug] [Thread-2  ]: Acquiring new bigquery connection "model.airbyte_utils.coach_match_lineups_ab2"
2022-06-07 16:04:49 normalization > 16:04:23.806146 [debug] [Thread-5  ]: Began running node model.airbyte_utils.user_challenges_ab2
2022-06-07 16:04:49 normalization > 16:04:23.807614 [debug] [Thread-4  ]: Acquiring new bigquery connection "model.airbyte_utils.coach_match_sub_stats_ab2"
2022-06-07 16:04:49 normalization > 16:04:23.808164 [debug] [Thread-7  ]: Began running node model.airbyte_utils.missplays_ab2
2022-06-07 16:04:49 normalization > 16:04:23.809156 [debug] [Thread-1  ]: Began compiling node model.airbyte_utils.coach_match_missplays_in_rounds_ab2
2022-06-07 16:04:49 normalization > 16:04:23.809957 [debug] [Thread-6  ]: Acquiring new bigquery connection "model.airbyte_utils.coach_match_sub_stats_v2_ab2"
2022-06-07 16:04:49 normalization > 16:04:23.810801 [debug] [Thread-3  ]: Acquiring new bigquery connection "model.airbyte_utils.coach_matches_ab2"
2022-06-07 16:04:49 normalization > 16:04:23.811520 [debug] [Thread-8  ]: Acquiring new bigquery connection "model.airbyte_utils.coach_players_ab2"
2022-06-07 16:04:49 normalization > 16:04:23.811936 [debug] [Thread-2  ]: Began compiling node model.airbyte_utils.coach_match_lineups_ab2
2022-06-07 16:04:49 normalization > 16:04:23.812973 [debug] [Thread-5  ]: Acquiring new bigquery connection "model.airbyte_utils.user_challenges_ab2"
2022-06-07 16:04:49 normalization > 16:04:23.813448 [debug] [Thread-4  ]: Began compiling node model.airbyte_utils.coach_match_sub_stats_ab2
2022-06-07 16:04:49 normalization > 16:04:23.814181 [debug] [Thread-7  ]: Acquiring new bigquery connection "model.airbyte_utils.missplays_ab2"
2022-06-07 16:04:49 normalization > 16:04:23.814621 [debug] [Thread-1  ]: Compiling model.airbyte_utils.coach_match_missplays_in_rounds_ab2
2022-06-07 16:04:49 normalization > 16:04:23.815050 [debug] [Thread-6  ]: Began compiling node model.airbyte_utils.coach_match_sub_stats_v2_ab2
2022-06-07 16:04:49 normalization > 16:04:23.815418 [debug] [Thread-3  ]: Began compiling node model.airbyte_utils.coach_matches_ab2
2022-06-07 16:04:49 normalization > 16:04:23.815881 [debug] [Thread-8  ]: Began compiling node model.airbyte_utils.coach_players_ab2
2022-06-07 16:04:49 normalization > 16:04:23.816300 [debug] [Thread-2  ]: Compiling model.airbyte_utils.coach_match_lineups_ab2
2022-06-07 16:04:49 normalization > 16:04:23.816834 [debug] [Thread-5  ]: Began compiling node model.airbyte_utils.user_challenges_ab2
2022-06-07 16:04:49 normalization > 16:04:23.817325 [debug] [Thread-4  ]: Compiling model.airbyte_utils.coach_match_sub_stats_ab2
2022-06-07 16:04:49 normalization > 16:04:23.817803 [debug] [Thread-7  ]: Began compiling node model.airbyte_utils.missplays_ab2
2022-06-07 16:04:49 normalization > 16:04:23.849177 [debug] [Thread-6  ]: Compiling model.airbyte_utils.coach_match_sub_stats_v2_ab2
2022-06-07 16:04:49 normalization > 16:04:23.860538 [debug] [Thread-1  ]: Writing injected SQL for node "model.airbyte_utils.coach_match_missplays_in_rounds_ab2"
2022-06-07 16:04:49 normalization > 16:04:23.860940 [debug] [Thread-3  ]: Compiling model.airbyte_utils.coach_matches_ab2
2022-06-07 16:04:49 normalization > 16:04:23.861462 [debug] [Thread-8  ]: Compiling model.airbyte_utils.coach_players_ab2
2022-06-07 16:04:49 normalization > 16:04:23.893083 [debug] [Thread-5  ]: Compiling model.airbyte_utils.user_challenges_ab2
2022-06-07 16:04:49 normalization > 16:04:23.979307 [debug] [Thread-7  ]: Compiling model.airbyte_utils.missplays_ab2
2022-06-07 16:04:49 normalization > 16:04:24.008656 [debug] [Thread-4  ]: Writing injected SQL for node "model.airbyte_utils.coach_match_sub_stats_ab2"
2022-06-07 16:04:49 normalization > 16:04:24.123656 [debug] [Thread-6  ]: Writing injected SQL for node "model.airbyte_utils.coach_match_sub_stats_v2_ab2"
2022-06-07 16:04:49 normalization > 16:04:24.186581 [debug] [Thread-1  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:24.369860 [debug] [Thread-8  ]: Writing injected SQL for node "model.airbyte_utils.coach_players_ab2"
2022-06-07 16:04:49 normalization > 16:04:24.452378 [debug] [Thread-3  ]: Writing injected SQL for node "model.airbyte_utils.coach_matches_ab2"
2022-06-07 16:04:49 normalization > 16:04:24.544056 [debug] [Thread-7  ]: Writing injected SQL for node "model.airbyte_utils.missplays_ab2"
2022-06-07 16:04:49 normalization > 16:04:24.563043 [debug] [Thread-1  ]: Finished running node model.airbyte_utils.coach_match_missplays_in_rounds_ab2
2022-06-07 16:04:49 normalization > 16:04:24.570459 [debug] [Thread-6  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:24.576971 [debug] [Thread-4  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:24.670219 [debug] [Thread-5  ]: Writing injected SQL for node "model.airbyte_utils.user_challenges_ab2"
2022-06-07 16:04:49 normalization > 16:04:24.676520 [debug] [Thread-2  ]: Writing injected SQL for node "model.airbyte_utils.coach_match_lineups_ab2"
2022-06-07 16:04:49 normalization > 16:04:24.677152 [debug] [Thread-8  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:24.678257 [debug] [Thread-3  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:24.679061 [debug] [Thread-1  ]: Began running node model.airbyte_utils.user_matches_ab2
2022-06-07 16:04:49 normalization > 16:04:24.679906 [debug] [Thread-7  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:24.681744 [debug] [Thread-6  ]: Finished running node model.airbyte_utils.coach_match_sub_stats_v2_ab2
2022-06-07 16:04:49 normalization > 16:04:24.682553 [debug] [Thread-4  ]: Finished running node model.airbyte_utils.coach_match_sub_stats_ab2
2022-06-07 16:04:49 normalization > 16:04:24.683495 [debug] [Thread-5  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:24.683742 [debug] [Thread-2  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:24.684625 [debug] [Thread-8  ]: Finished running node model.airbyte_utils.coach_players_ab2
2022-06-07 16:04:49 normalization > 16:04:24.685775 [debug] [Thread-3  ]: Finished running node model.airbyte_utils.coach_matches_ab2
2022-06-07 16:04:49 normalization > 16:04:24.686759 [debug] [Thread-1  ]: Acquiring new bigquery connection "model.airbyte_utils.user_matches_ab2"
2022-06-07 16:04:49 normalization > 16:04:24.687876 [debug] [Thread-7  ]: Finished running node model.airbyte_utils.missplays_ab2
2022-06-07 16:04:49 normalization > 16:04:24.688532 [debug] [Thread-6  ]: Began running node model.airbyte_utils.user_server_live_stats_ab2
2022-06-07 16:04:49 normalization > 16:04:24.689500 [debug] [Thread-4  ]: Began running node model.airbyte_utils.user_server_stats_ab2
2022-06-07 16:04:49 normalization > 16:04:24.690811 [debug] [Thread-5  ]: Finished running node model.airbyte_utils.user_challenges_ab2
2022-06-07 16:04:49 normalization > 16:04:24.691730 [debug] [Thread-2  ]: Finished running node model.airbyte_utils.coach_match_lineups_ab2
2022-06-07 16:04:49 normalization > 16:04:24.692306 [debug] [Thread-8  ]: Began running node model.airbyte_utils.user_server_weapon_stats_ab2
2022-06-07 16:04:49 normalization > 16:04:24.693505 [debug] [Thread-3  ]: Began running node model.airbyte_utils.user_training_v2_level_segment_unit_start_sessions_ab2
2022-06-07 16:04:49 normalization > 16:04:24.694593 [debug] [Thread-1  ]: Began compiling node model.airbyte_utils.user_matches_ab2
2022-06-07 16:04:49 normalization > 16:04:24.695250 [debug] [Thread-7  ]: Began running node model.airbyte_utils.user_training_v2_level_segment_unit_stats_ab2
2022-06-07 16:04:49 normalization > 16:04:24.696947 [debug] [Thread-6  ]: Acquiring new bigquery connection "model.airbyte_utils.user_server_live_stats_ab2"
2022-06-07 16:04:49 normalization > 16:04:24.697863 [debug] [Thread-4  ]: Acquiring new bigquery connection "model.airbyte_utils.user_server_stats_ab2"
2022-06-07 16:04:49 normalization > 16:04:24.698343 [debug] [Thread-5  ]: Began running node model.airbyte_utils.user_training_v2_level_segment_units_ab2
2022-06-07 16:04:49 normalization > 16:04:24.699354 [debug] [Thread-2  ]: Began running node model.airbyte_utils.user_training_v2_level_segments_ab2
2022-06-07 16:04:49 normalization > 16:04:24.700851 [debug] [Thread-8  ]: Acquiring new bigquery connection "model.airbyte_utils.user_server_weapon_stats_ab2"
2022-06-07 16:04:49 normalization > 16:04:24.701936 [debug] [Thread-3  ]: Acquiring new bigquery connection "model.airbyte_utils.user_training_v2_level_segment_unit_start_sessions_ab2"
2022-06-07 16:04:49 normalization > 16:04:24.702454 [debug] [Thread-1  ]: Compiling model.airbyte_utils.user_matches_ab2
2022-06-07 16:04:49 normalization > 16:04:24.704386 [debug] [Thread-7  ]: Acquiring new bigquery connection "model.airbyte_utils.user_training_v2_level_segment_unit_stats_ab2"
2022-06-07 16:04:49 normalization > 16:04:24.704987 [debug] [Thread-6  ]: Began compiling node model.airbyte_utils.user_server_live_stats_ab2
2022-06-07 16:04:49 normalization > 16:04:24.705526 [debug] [Thread-4  ]: Began compiling node model.airbyte_utils.user_server_stats_ab2
2022-06-07 16:04:49 normalization > 16:04:24.706315 [debug] [Thread-5  ]: Acquiring new bigquery connection "model.airbyte_utils.user_training_v2_level_segment_units_ab2"
2022-06-07 16:04:49 normalization > 16:04:24.707180 [debug] [Thread-2  ]: Acquiring new bigquery connection "model.airbyte_utils.user_training_v2_level_segments_ab2"
2022-06-07 16:04:49 normalization > 16:04:24.707686 [debug] [Thread-8  ]: Began compiling node model.airbyte_utils.user_server_weapon_stats_ab2
2022-06-07 16:04:49 normalization > 16:04:24.708250 [debug] [Thread-3  ]: Began compiling node model.airbyte_utils.user_training_v2_level_segment_unit_start_sessions_ab2
2022-06-07 16:04:49 normalization > 16:04:24.734889 [debug] [Thread-7  ]: Began compiling node model.airbyte_utils.user_training_v2_level_segment_unit_stats_ab2
2022-06-07 16:04:49 normalization > 16:04:24.745937 [debug] [Thread-1  ]: Writing injected SQL for node "model.airbyte_utils.user_matches_ab2"
2022-06-07 16:04:49 normalization > 16:04:24.746366 [debug] [Thread-6  ]: Compiling model.airbyte_utils.user_server_live_stats_ab2
2022-06-07 16:04:49 normalization > 16:04:24.746893 [debug] [Thread-4  ]: Compiling model.airbyte_utils.user_server_stats_ab2
2022-06-07 16:04:49 normalization > 16:04:24.747313 [debug] [Thread-5  ]: Began compiling node model.airbyte_utils.user_training_v2_level_segment_units_ab2
2022-06-07 16:04:49 normalization > 16:04:24.747680 [debug] [Thread-2  ]: Began compiling node model.airbyte_utils.user_training_v2_level_segments_ab2
2022-06-07 16:04:49 normalization > 16:04:24.748123 [debug] [Thread-8  ]: Compiling model.airbyte_utils.user_server_weapon_stats_ab2
2022-06-07 16:04:49 normalization > 16:04:24.748604 [debug] [Thread-3  ]: Compiling model.airbyte_utils.user_training_v2_level_segment_unit_start_sessions_ab2
2022-06-07 16:04:49 normalization > 16:04:24.749071 [debug] [Thread-7  ]: Compiling model.airbyte_utils.user_training_v2_level_segment_unit_stats_ab2
2022-06-07 16:04:49 normalization > 16:04:24.760355 [debug] [Thread-1  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:24.797370 [debug] [Thread-6  ]: Writing injected SQL for node "model.airbyte_utils.user_server_live_stats_ab2"
2022-06-07 16:04:49 normalization > 16:04:24.817512 [debug] [Thread-5  ]: Compiling model.airbyte_utils.user_training_v2_level_segment_units_ab2
2022-06-07 16:04:49 normalization > 16:04:24.846435 [debug] [Thread-4  ]: Writing injected SQL for node "model.airbyte_utils.user_server_stats_ab2"
2022-06-07 16:04:49 normalization > 16:04:24.846743 [debug] [Thread-2  ]: Compiling model.airbyte_utils.user_training_v2_level_segments_ab2
2022-06-07 16:04:49 normalization > 16:04:24.952362 [debug] [Thread-3  ]: Writing injected SQL for node "model.airbyte_utils.user_training_v2_level_segment_unit_start_sessions_ab2"
2022-06-07 16:04:49 normalization > 16:04:24.962433 [debug] [Thread-8  ]: Writing injected SQL for node "model.airbyte_utils.user_server_weapon_stats_ab2"
2022-06-07 16:04:49 normalization > 16:04:24.994609 [debug] [Thread-1  ]: Finished running node model.airbyte_utils.user_matches_ab2
2022-06-07 16:04:49 normalization > 16:04:25.006551 [debug] [Thread-7  ]: Writing injected SQL for node "model.airbyte_utils.user_training_v2_level_segment_unit_stats_ab2"
2022-06-07 16:04:49 normalization > 16:04:25.038347 [debug] [Thread-6  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:25.049252 [debug] [Thread-5  ]: Writing injected SQL for node "model.airbyte_utils.user_training_v2_level_segment_units_ab2"
2022-06-07 16:04:49 normalization > 16:04:25.049443 [debug] [Thread-4  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:25.085438 [debug] [Thread-2  ]: Writing injected SQL for node "model.airbyte_utils.user_training_v2_level_segments_ab2"
2022-06-07 16:04:49 normalization > 16:04:25.086474 [debug] [Thread-3  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:25.086873 [debug] [Thread-8  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:25.087308 [debug] [Thread-1  ]: Began running node model.airbyte_utils.user_training_v2_levels_ab2
2022-06-07 16:04:49 normalization > 16:04:25.088320 [debug] [Thread-7  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:25.089202 [debug] [Thread-6  ]: Finished running node model.airbyte_utils.user_server_live_stats_ab2
2022-06-07 16:04:49 normalization > 16:04:25.090166 [debug] [Thread-4  ]: Finished running node model.airbyte_utils.user_server_stats_ab2
2022-06-07 16:04:49 normalization > 16:04:25.090504 [debug] [Thread-5  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:25.091547 [debug] [Thread-3  ]: Finished running node model.airbyte_utils.user_training_v2_level_segment_unit_start_sessions_ab2
2022-06-07 16:04:49 normalization > 16:04:25.091854 [debug] [Thread-2  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:25.092603 [debug] [Thread-8  ]: Finished running node model.airbyte_utils.user_server_weapon_stats_ab2
2022-06-07 16:04:49 normalization > 16:04:25.093543 [debug] [Thread-1  ]: Acquiring new bigquery connection "model.airbyte_utils.user_training_v2_levels_ab2"
2022-06-07 16:04:49 normalization > 16:04:25.094298 [debug] [Thread-7  ]: Finished running node model.airbyte_utils.user_training_v2_level_segment_unit_stats_ab2
2022-06-07 16:04:49 normalization > 16:04:25.094813 [debug] [Thread-6  ]: Began running node model.airbyte_utils.user_training_v2_streaks_ab2
2022-06-07 16:04:49 normalization > 16:04:25.095664 [debug] [Thread-4  ]: Began running node model.airbyte_utils.user_training_v2_unit_tags_ab2
2022-06-07 16:04:49 normalization > 16:04:25.097056 [debug] [Thread-5  ]: Finished running node model.airbyte_utils.user_training_v2_level_segment_units_ab2
2022-06-07 16:04:49 normalization > 16:04:25.097563 [debug] [Thread-3  ]: Began running node model.airbyte_utils.users_ab2
2022-06-07 16:04:49 normalization > 16:04:25.098652 [debug] [Thread-2  ]: Finished running node model.airbyte_utils.user_training_v2_level_segments_ab2
2022-06-07 16:04:49 normalization > 16:04:25.099141 [debug] [Thread-8  ]: Began running node model.airbyte_utils.challenge_maps_stg
2022-06-07 16:04:49 normalization > 16:04:25.100263 [debug] [Thread-1  ]: Began compiling node model.airbyte_utils.user_training_v2_levels_ab2
2022-06-07 16:04:49 normalization > 16:04:25.100831 [debug] [Thread-7  ]: Began running node model.airbyte_utils.challenges_stg
2022-06-07 16:04:49 normalization > 16:04:25.102075 [debug] [Thread-6  ]: Acquiring new bigquery connection "model.airbyte_utils.user_training_v2_streaks_ab2"
2022-06-07 16:04:49 normalization > 16:04:25.102769 [debug] [Thread-4  ]: Acquiring new bigquery connection "model.airbyte_utils.user_training_v2_unit_tags_ab2"
2022-06-07 16:04:49 normalization > 16:04:25.103190 [debug] [Thread-5  ]: Began running node model.airbyte_utils.challenge_types_stg
2022-06-07 16:04:49 normalization > 16:04:25.104692 [debug] [Thread-3  ]: Acquiring new bigquery connection "model.airbyte_utils.users_ab2"
2022-06-07 16:04:49 normalization > 16:04:25.105260 [debug] [Thread-2  ]: Began running node model.airbyte_utils.coach_match_advanced_stats_stg
2022-06-07 16:04:49 normalization > 16:04:25.106444 [info ] [Thread-8  ]: 1 of 78 START view model _airbyte_ggpredict_airbyte.challenge_maps_stg.................................................. [RUN]
2022-06-07 16:04:49 normalization > 16:04:25.106996 [debug] [Thread-1  ]: Compiling model.airbyte_utils.user_training_v2_levels_ab2
2022-06-07 16:04:49 normalization > 16:04:25.107607 [info ] [Thread-7  ]: 2 of 78 START view model _airbyte_ggpredict_airbyte.challenges_stg...................................................... [RUN]
2022-06-07 16:04:49 normalization > 16:04:25.108053 [debug] [Thread-6  ]: Began compiling node model.airbyte_utils.user_training_v2_streaks_ab2
2022-06-07 16:04:49 normalization > 16:04:25.108503 [debug] [Thread-4  ]: Began compiling node model.airbyte_utils.user_training_v2_unit_tags_ab2
2022-06-07 16:04:49 normalization > 16:04:25.108994 [info ] [Thread-5  ]: 3 of 78 START view model _airbyte_ggpredict_airbyte.challenge_types_stg................................................. [RUN]
2022-06-07 16:04:49 normalization > 16:04:25.109473 [debug] [Thread-3  ]: Began compiling node model.airbyte_utils.users_ab2
2022-06-07 16:04:49 normalization > 16:04:25.110063 [info ] [Thread-2  ]: 4 of 78 START view model _airbyte_ggpredict_airbyte.coach_match_advanced_stats_stg...................................... [RUN]
2022-06-07 16:04:49 normalization > 16:04:25.111380 [debug] [Thread-8  ]: Acquiring new bigquery connection "model.airbyte_utils.challenge_maps_stg"
2022-06-07 16:04:49 normalization > 16:04:25.148884 [debug] [Thread-7  ]: Acquiring new bigquery connection "model.airbyte_utils.challenges_stg"
2022-06-07 16:04:49 normalization > 16:04:25.151697 [debug] [Thread-1  ]: Writing injected SQL for node "model.airbyte_utils.user_training_v2_levels_ab2"
2022-06-07 16:04:49 normalization > 16:04:25.152075 [debug] [Thread-6  ]: Compiling model.airbyte_utils.user_training_v2_streaks_ab2
2022-06-07 16:04:49 normalization > 16:04:25.152586 [debug] [Thread-4  ]: Compiling model.airbyte_utils.user_training_v2_unit_tags_ab2
2022-06-07 16:04:49 normalization > 16:04:25.153815 [debug] [Thread-5  ]: Acquiring new bigquery connection "model.airbyte_utils.challenge_types_stg"
2022-06-07 16:04:49 normalization > 16:04:25.154330 [debug] [Thread-3  ]: Compiling model.airbyte_utils.users_ab2
2022-06-07 16:04:49 normalization > 16:04:25.156206 [debug] [Thread-2  ]: Acquiring new bigquery connection "model.airbyte_utils.coach_match_advanced_stats_stg"
2022-06-07 16:04:49 normalization > 16:04:25.156719 [debug] [Thread-8  ]: Began compiling node model.airbyte_utils.challenge_maps_stg
2022-06-07 16:04:49 normalization > 16:04:25.157248 [debug] [Thread-7  ]: Began compiling node model.airbyte_utils.challenges_stg
2022-06-07 16:04:49 normalization > 16:04:25.157893 [debug] [Thread-1  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:25.196343 [debug] [Thread-6  ]: Writing injected SQL for node "model.airbyte_utils.user_training_v2_streaks_ab2"
2022-06-07 16:04:49 normalization > 16:04:25.217408 [debug] [Thread-5  ]: Began compiling node model.airbyte_utils.challenge_types_stg
2022-06-07 16:04:49 normalization > 16:04:25.221886 [debug] [Thread-4  ]: Writing injected SQL for node "model.airbyte_utils.user_training_v2_unit_tags_ab2"
2022-06-07 16:04:49 normalization > 16:04:25.254867 [debug] [Thread-2  ]: Began compiling node model.airbyte_utils.coach_match_advanced_stats_stg
2022-06-07 16:04:49 normalization > 16:04:25.291065 [debug] [Thread-8  ]: Compiling model.airbyte_utils.challenge_maps_stg
2022-06-07 16:04:49 normalization > 16:04:25.316383 [debug] [Thread-3  ]: Writing injected SQL for node "model.airbyte_utils.users_ab2"
2022-06-07 16:04:49 normalization > 16:04:25.316709 [debug] [Thread-7  ]: Compiling model.airbyte_utils.challenges_stg
2022-06-07 16:04:49 normalization > 16:04:25.317660 [debug] [Thread-1  ]: Finished running node model.airbyte_utils.user_training_v2_levels_ab2
2022-06-07 16:04:49 normalization > 16:04:25.318486 [debug] [Thread-5  ]: Compiling model.airbyte_utils.challenge_types_stg
2022-06-07 16:04:49 normalization > 16:04:25.319047 [debug] [Thread-6  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:25.319881 [debug] [Thread-2  ]: Compiling model.airbyte_utils.coach_match_advanced_stats_stg
2022-06-07 16:04:49 normalization > 16:04:25.320333 [debug] [Thread-4  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:25.353465 [debug] [Thread-8  ]: Writing injected SQL for node "model.airbyte_utils.challenge_maps_stg"
2022-06-07 16:04:49 normalization > 16:04:25.374891 [debug] [Thread-3  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:25.390427 [debug] [Thread-1  ]: Began running node model.airbyte_utils.challenge_weapons_stg
2022-06-07 16:04:49 normalization > 16:04:25.394543 [debug] [Thread-7  ]: Writing injected SQL for node "model.airbyte_utils.challenges_stg"
2022-06-07 16:04:49 normalization > 16:04:25.427111 [debug] [Thread-6  ]: Finished running node model.airbyte_utils.user_training_v2_streaks_ab2
2022-06-07 16:04:49 normalization > 16:04:25.428138 [debug] [Thread-5  ]: Writing injected SQL for node "model.airbyte_utils.challenge_types_stg"
2022-06-07 16:04:49 normalization > 16:04:25.455312 [debug] [Thread-4  ]: Finished running node model.airbyte_utils.user_training_v2_unit_tags_ab2
2022-06-07 16:04:49 normalization > 16:04:25.484210 [debug] [Thread-2  ]: Writing injected SQL for node "model.airbyte_utils.coach_match_advanced_stats_stg"
2022-06-07 16:04:49 normalization > 16:04:25.485473 [debug] [Thread-3  ]: Finished running node model.airbyte_utils.users_ab2
2022-06-07 16:04:49 normalization > 16:04:25.486439 [info ] [Thread-1  ]: 5 of 78 START view model _airbyte_ggpredict_airbyte.challenge_weapons_stg............................................... [RUN]
2022-06-07 16:04:49 normalization > 16:04:25.486832 [debug] [Thread-8  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:25.487693 [debug] [Thread-6  ]: Began running node model.airbyte_utils.coach_match_advanced_stats_v2_stg
2022-06-07 16:04:49 normalization > 16:04:25.488078 [debug] [Thread-7  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:25.489474 [debug] [Thread-4  ]: Began running node model.airbyte_utils.coach_match_missplays_in_rounds_stg
2022-06-07 16:04:49 normalization > 16:04:25.490589 [debug] [Thread-5  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:25.491170 [debug] [Thread-2  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:25.491521 [debug] [Thread-3  ]: Began running node model.airbyte_utils.coach_match_sub_stats_v2_stg
2022-06-07 16:04:49 normalization > 16:04:25.493561 [debug] [Thread-1  ]: Acquiring new bigquery connection "model.airbyte_utils.challenge_weapons_stg"
2022-06-07 16:04:49 normalization > 16:04:25.494080 [debug] [Thread-8  ]: Began executing node model.airbyte_utils.challenge_maps_stg
2022-06-07 16:04:49 normalization > 16:04:25.494775 [info ] [Thread-6  ]: 6 of 78 START view model _airbyte_ggpredict_airbyte.coach_match_advanced_stats_v2_stg................................... [RUN]
2022-06-07 16:04:49 normalization > 16:04:25.495285 [debug] [Thread-7  ]: Began executing node model.airbyte_utils.challenges_stg
2022-06-07 16:04:49 normalization > 16:04:25.495920 [info ] [Thread-4  ]: 7 of 78 START view model _airbyte_ggpredict_airbyte.coach_match_missplays_in_rounds_stg................................. [RUN]
2022-06-07 16:04:49 normalization > 16:04:25.496447 [debug] [Thread-5  ]: Began executing node model.airbyte_utils.challenge_types_stg
2022-06-07 16:04:49 normalization > 16:04:25.496831 [debug] [Thread-2  ]: Began executing node model.airbyte_utils.coach_match_advanced_stats_stg
2022-06-07 16:04:49 normalization > 16:04:25.497362 [info ] [Thread-3  ]: 8 of 78 START view model _airbyte_ggpredict_airbyte.coach_match_sub_stats_v2_stg........................................ [RUN]
2022-06-07 16:04:49 normalization > 16:04:25.497875 [debug] [Thread-1  ]: Began compiling node model.airbyte_utils.challenge_weapons_stg
2022-06-07 16:04:49 normalization > 16:04:25.535441 [debug] [Thread-6  ]: Acquiring new bigquery connection "model.airbyte_utils.coach_match_advanced_stats_v2_stg"
2022-06-07 16:04:49 normalization > 16:04:25.547686 [debug] [Thread-8  ]: Writing runtime SQL for node "model.airbyte_utils.challenge_maps_stg"
2022-06-07 16:04:49 normalization > 16:04:25.560940 [debug] [Thread-7  ]: Writing runtime SQL for node "model.airbyte_utils.challenges_stg"
2022-06-07 16:04:49 normalization > 16:04:25.562927 [debug] [Thread-4  ]: Acquiring new bigquery connection "model.airbyte_utils.coach_match_missplays_in_rounds_stg"
2022-06-07 16:04:49 normalization > 16:04:25.570063 [debug] [Thread-5  ]: Writing runtime SQL for node "model.airbyte_utils.challenge_types_stg"
2022-06-07 16:04:49 normalization > 16:04:25.576181 [debug] [Thread-2  ]: Writing runtime SQL for node "model.airbyte_utils.coach_match_advanced_stats_stg"
2022-06-07 16:04:49 normalization > 16:04:25.577035 [debug] [Thread-3  ]: Acquiring new bigquery connection "model.airbyte_utils.coach_match_sub_stats_v2_stg"
2022-06-07 16:04:49 normalization > 16:04:25.577301 [debug] [Thread-1  ]: Compiling model.airbyte_utils.challenge_weapons_stg
2022-06-07 16:04:49 normalization > 16:04:25.577549 [debug] [Thread-6  ]: Began compiling node model.airbyte_utils.coach_match_advanced_stats_v2_stg
2022-06-07 16:04:49 normalization > 16:04:25.578355 [debug] [Thread-4  ]: Began compiling node model.airbyte_utils.coach_match_missplays_in_rounds_stg
2022-06-07 16:04:49 normalization > 16:04:25.579198 [debug] [Thread-7  ]: Opening a new connection, currently in state closed
2022-06-07 16:04:49 normalization > 16:04:25.579396 [debug] [Thread-5  ]: Opening a new connection, currently in state closed
2022-06-07 16:04:49 normalization > 16:04:25.579674 [debug] [Thread-8  ]: Opening a new connection, currently in state closed
2022-06-07 16:04:49 normalization > 16:04:25.579909 [debug] [Thread-3  ]: Began compiling node model.airbyte_utils.coach_match_sub_stats_v2_stg
2022-06-07 16:04:49 normalization > 16:04:25.580167 [debug] [Thread-2  ]: Opening a new connection, currently in state closed
2022-06-07 16:04:49 normalization > 16:04:25.609565 [debug] [Thread-1  ]: Writing injected SQL for node "model.airbyte_utils.challenge_weapons_stg"
2022-06-07 16:04:49 normalization > 16:04:25.609825 [debug] [Thread-6  ]: Compiling model.airbyte_utils.coach_match_advanced_stats_v2_stg
2022-06-07 16:04:49 normalization > 16:04:25.610251 [debug] [Thread-4  ]: Compiling model.airbyte_utils.coach_match_missplays_in_rounds_stg
2022-06-07 16:04:49 normalization > 16:04:25.611388 [debug] [Thread-3  ]: Compiling model.airbyte_utils.coach_match_sub_stats_v2_stg
2022-06-07 16:04:49 normalization > 16:04:25.617522 [debug] [Thread-1  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:25.634316 [debug] [Thread-7  ]: On model.airbyte_utils.challenges_stg: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.challenges_stg"} */
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >   create or replace view `segment-351212`._airbyte_ggpredict_airbyte.`challenges_stg`
2022-06-07 16:04:49 normalization >   OPTIONS()
2022-06-07 16:04:49 normalization >   as 
2022-06-07 16:04:49 normalization > with __dbt__cte__challenges_ab1 as (
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema
2022-06-07 16:04:49 normalization > -- depends_on: `segment-351212`.ggpredict_airbyte._airbyte_raw_challenges
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['id']") as id,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['goal']") as goal,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['difficulty']") as difficulty,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['description']") as description,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_log_pos']") as _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_log_file']") as _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['challenge_type_id']") as challenge_type_id,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_deleted_at']") as _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_updated_at']") as _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >     _airbyte_ab_id,
2022-06-07 16:04:49 normalization >     _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at
2022-06-07 16:04:49 normalization > from `segment-351212`.ggpredict_airbyte._airbyte_raw_challenges as table_alias
2022-06-07 16:04:49 normalization > -- challenges
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > ),  __dbt__cte__challenges_ab2 as (
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type
2022-06-07 16:04:49 normalization > -- depends_on: __dbt__cte__challenges_ab1
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     cast(id as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as id,
2022-06-07 16:04:49 normalization >     cast(goal as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as goal,
2022-06-07 16:04:49 normalization >     cast(difficulty as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as difficulty,
2022-06-07 16:04:49 normalization >     cast(description as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as description,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_log_file as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >     cast(challenge_type_id as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as challenge_type_id,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >     _airbyte_ab_id,
2022-06-07 16:04:49 normalization >     _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at
2022-06-07 16:04:49 normalization > from __dbt__cte__challenges_ab1
2022-06-07 16:04:49 normalization > -- challenges
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > )-- SQL model to build a hash column based on the values of this record
2022-06-07 16:04:49 normalization > -- depends_on: __dbt__cte__challenges_ab2
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     to_hex(md5(cast(concat(coalesce(cast(id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(goal as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(difficulty as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(description as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_log_file as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(challenge_type_id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), '')) as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ))) as _airbyte_challenges_hashid,
2022-06-07 16:04:49 normalization >     tmp.*
2022-06-07 16:04:49 normalization > from __dbt__cte__challenges_ab2 tmp
2022-06-07 16:04:49 normalization > -- challenges
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > ;
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 16:04:25.644533 [debug] [Thread-5  ]: On model.airbyte_utils.challenge_types_stg: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.challenge_types_stg"} */
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >   create or replace view `segment-351212`._airbyte_ggpredict_airbyte.`challenge_types_stg`
2022-06-07 16:04:49 normalization >   OPTIONS()
2022-06-07 16:04:49 normalization >   as 
2022-06-07 16:04:49 normalization > with __dbt__cte__challenge_types_ab1 as (
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema
2022-06-07 16:04:49 normalization > -- depends_on: `segment-351212`.ggpredict_airbyte._airbyte_raw_challenge_types
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['id']") as id,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['name']") as name,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_log_pos']") as _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_log_file']") as _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_deleted_at']") as _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_updated_at']") as _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >     _airbyte_ab_id,
2022-06-07 16:04:49 normalization >     _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at
2022-06-07 16:04:49 normalization > from `segment-351212`.ggpredict_airbyte._airbyte_raw_challenge_types as table_alias
2022-06-07 16:04:49 normalization > -- challenge_types
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > ),  __dbt__cte__challenge_types_ab2 as (
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type
2022-06-07 16:04:49 normalization > -- depends_on: __dbt__cte__challenge_types_ab1
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     cast(id as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as id,
2022-06-07 16:04:49 normalization >     cast(name as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as name,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_log_file as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >     _airbyte_ab_id,
2022-06-07 16:04:49 normalization >     _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at
2022-06-07 16:04:49 normalization > from __dbt__cte__challenge_types_ab1
2022-06-07 16:04:49 normalization > -- challenge_types
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > )-- SQL model to build a hash column based on the values of this record
2022-06-07 16:04:49 normalization > -- depends_on: __dbt__cte__challenge_types_ab2
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     to_hex(md5(cast(concat(coalesce(cast(id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(name as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_log_file as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), '')) as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ))) as _airbyte_challenge_types_hashid,
2022-06-07 16:04:49 normalization >     tmp.*
2022-06-07 16:04:49 normalization > from __dbt__cte__challenge_types_ab2 tmp
2022-06-07 16:04:49 normalization > -- challenge_types
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > ;
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 16:04:25.644970 [debug] [Thread-8  ]: On model.airbyte_utils.challenge_maps_stg: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.challenge_maps_stg"} */
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >   create or replace view `segment-351212`._airbyte_ggpredict_airbyte.`challenge_maps_stg`
2022-06-07 16:04:49 normalization >   OPTIONS()
2022-06-07 16:04:49 normalization >   as 
2022-06-07 16:04:49 normalization > with __dbt__cte__challenge_maps_ab1 as (
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema
2022-06-07 16:04:49 normalization > -- depends_on: `segment-351212`.ggpredict_airbyte._airbyte_raw_challenge_maps
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['map_id']") as map_id,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['challenge_id']") as challenge_id,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_log_pos']") as _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_log_file']") as _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_deleted_at']") as _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_updated_at']") as _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >     _airbyte_ab_id,
2022-06-07 16:04:49 normalization >     _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at
2022-06-07 16:04:49 normalization > from `segment-351212`.ggpredict_airbyte._airbyte_raw_challenge_maps as table_alias
2022-06-07 16:04:49 normalization > -- challenge_maps
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > ),  __dbt__cte__challenge_maps_ab2 as (
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type
2022-06-07 16:04:49 normalization > -- depends_on: __dbt__cte__challenge_maps_ab1
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     cast(map_id as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as map_id,
2022-06-07 16:04:49 normalization >     cast(challenge_id as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as challenge_id,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_log_file as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >     _airbyte_ab_id,
2022-06-07 16:04:49 normalization >     _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at
2022-06-07 16:04:49 normalization > from __dbt__cte__challenge_maps_ab1
2022-06-07 16:04:49 normalization > -- challenge_maps
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > )-- SQL model to build a hash column based on the values of this record
2022-06-07 16:04:49 normalization > -- depends_on: __dbt__cte__challenge_maps_ab2
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     to_hex(md5(cast(concat(coalesce(cast(map_id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(challenge_id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_log_file as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), '')) as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ))) as _airbyte_challenge_maps_hashid,
2022-06-07 16:04:49 normalization >     tmp.*
2022-06-07 16:04:49 normalization > from __dbt__cte__challenge_maps_ab2 tmp
2022-06-07 16:04:49 normalization > -- challenge_maps
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > ;
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 16:04:25.654661 [debug] [Thread-2  ]: On model.airbyte_utils.coach_match_advanced_stats_stg: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.coach_match_advanced_stats_stg"} */
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >   create or replace view `segment-351212`._airbyte_ggpredict_airbyte.`coach_match_advanced_stats_stg`
2022-06-07 16:04:49 normalization >   OPTIONS()
2022-06-07 16:04:49 normalization >   as 
2022-06-07 16:04:49 normalization > with __dbt__cte__coach_match_advanced_stats_ab1 as (
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema
2022-06-07 16:04:49 normalization > -- depends_on: `segment-351212`.ggpredict_airbyte._airbyte_raw_coach_match_advanced_stats
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['aiming']") as aiming,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['clutch']") as clutch,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['sniping']") as sniping,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['gamepace']") as gamepace,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['teamplay']") as teamplay,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['aggression']") as aggression,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['positioning']") as positioning,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['coach_match_id']") as coach_match_id,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['responsiveness']") as responsiveness,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['utilitiesusage']") as utilitiesusage,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_log_pos']") as _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['coach_player_id']") as coach_player_id,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_log_file']") as _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_deleted_at']") as _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_updated_at']") as _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >     _airbyte_ab_id,
2022-06-07 16:04:49 normalization >     _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at
2022-06-07 16:04:49 normalization > from `segment-351212`.ggpredict_airbyte._airbyte_raw_coach_match_advanced_stats as table_alias
2022-06-07 16:04:49 normalization > -- coach_match_advanced_stats
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > ),  __dbt__cte__coach_match_advanced_stats_ab2 as (
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type
2022-06-07 16:04:49 normalization > -- depends_on: __dbt__cte__coach_match_advanced_stats_ab1
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     cast(aiming as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as aiming,
2022-06-07 16:04:49 normalization >     cast(clutch as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as clutch,
2022-06-07 16:04:49 normalization >     cast(sniping as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as sniping,
2022-06-07 16:04:49 normalization >     cast(gamepace as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as gamepace,
2022-06-07 16:04:49 normalization >     cast(teamplay as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as teamplay,
2022-06-07 16:04:49 normalization >     cast(aggression as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as aggression,
2022-06-07 16:04:49 normalization >     cast(positioning as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as positioning,
2022-06-07 16:04:49 normalization >     cast(coach_match_id as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as coach_match_id,
2022-06-07 16:04:49 normalization >     cast(responsiveness as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as responsiveness,
2022-06-07 16:04:49 normalization >     cast(utilitiesusage as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as utilitiesusage,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >     cast(coach_player_id as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as coach_player_id,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_log_file as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >     _airbyte_ab_id,
2022-06-07 16:04:49 normalization >     _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at
2022-06-07 16:04:49 normalization > from __dbt__cte__coach_match_advanced_stats_ab1
2022-06-07 16:04:49 normalization > -- coach_match_advanced_stats
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > )-- SQL model to build a hash column based on the values of this record
2022-06-07 16:04:49 normalization > -- depends_on: __dbt__cte__coach_match_advanced_stats_ab2
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     to_hex(md5(cast(concat(coalesce(cast(aiming as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(clutch as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(sniping as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(gamepace as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(teamplay as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(aggression as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(positioning as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(coach_match_id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(responsiveness as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(utilitiesusage as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(coach_player_id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_log_file as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), '')) as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ))) as _airbyte_coach_match_advanced_stats_hashid,
2022-06-07 16:04:49 normalization >     tmp.*
2022-06-07 16:04:49 normalization > from __dbt__cte__coach_match_advanced_stats_ab2 tmp
2022-06-07 16:04:49 normalization > -- coach_match_advanced_stats
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > ;
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 16:04:25.688815 [debug] [Thread-4  ]: Writing injected SQL for node "model.airbyte_utils.coach_match_missplays_in_rounds_stg"
2022-06-07 16:04:49 normalization > 16:04:25.731944 [debug] [Thread-1  ]: Began executing node model.airbyte_utils.challenge_weapons_stg
2022-06-07 16:04:49 normalization > 16:04:25.758346 [debug] [Thread-6  ]: Writing injected SQL for node "model.airbyte_utils.coach_match_advanced_stats_v2_stg"
2022-06-07 16:04:49 normalization > 16:04:25.773798 [debug] [Thread-3  ]: Writing injected SQL for node "model.airbyte_utils.coach_match_sub_stats_v2_stg"
2022-06-07 16:04:49 normalization > 16:04:25.799861 [debug] [Thread-1  ]: Writing runtime SQL for node "model.airbyte_utils.challenge_weapons_stg"
2022-06-07 16:04:49 normalization > 16:04:25.803568 [debug] [Thread-4  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:25.805162 [debug] [Thread-6  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:25.806247 [debug] [Thread-3  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:25.807631 [debug] [Thread-4  ]: Began executing node model.airbyte_utils.coach_match_missplays_in_rounds_stg
2022-06-07 16:04:49 normalization > 16:04:25.808344 [debug] [Thread-1  ]: Opening a new connection, currently in state closed
2022-06-07 16:04:49 normalization > 16:04:25.808937 [debug] [Thread-6  ]: Began executing node model.airbyte_utils.coach_match_advanced_stats_v2_stg
2022-06-07 16:04:49 normalization > 16:04:25.809421 [debug] [Thread-3  ]: Began executing node model.airbyte_utils.coach_match_sub_stats_v2_stg
2022-06-07 16:04:49 normalization > 16:04:25.822360 [debug] [Thread-4  ]: Writing runtime SQL for node "model.airbyte_utils.coach_match_missplays_in_rounds_stg"
2022-06-07 16:04:49 normalization > 16:04:25.828656 [debug] [Thread-6  ]: Writing runtime SQL for node "model.airbyte_utils.coach_match_advanced_stats_v2_stg"
2022-06-07 16:04:49 normalization > 16:04:25.834185 [debug] [Thread-1  ]: On model.airbyte_utils.challenge_weapons_stg: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.challenge_weapons_stg"} */
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >   create or replace view `segment-351212`._airbyte_ggpredict_airbyte.`challenge_weapons_stg`
2022-06-07 16:04:49 normalization >   OPTIONS()
2022-06-07 16:04:49 normalization >   as 
2022-06-07 16:04:49 normalization > with __dbt__cte__challenge_weapons_ab1 as (
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema
2022-06-07 16:04:49 normalization > -- depends_on: `segment-351212`.ggpredict_airbyte._airbyte_raw_challenge_weapons
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['weapon_id']") as weapon_id,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['challenge_id']") as challenge_id,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_log_pos']") as _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_log_file']") as _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_deleted_at']") as _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_updated_at']") as _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >     _airbyte_ab_id,
2022-06-07 16:04:49 normalization >     _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at
2022-06-07 16:04:49 normalization > from `segment-351212`.ggpredict_airbyte._airbyte_raw_challenge_weapons as table_alias
2022-06-07 16:04:49 normalization > -- challenge_weapons
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > ),  __dbt__cte__challenge_weapons_ab2 as (
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type
2022-06-07 16:04:49 normalization > -- depends_on: __dbt__cte__challenge_weapons_ab1
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     cast(weapon_id as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as weapon_id,
2022-06-07 16:04:49 normalization >     cast(challenge_id as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as challenge_id,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_log_file as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >     _airbyte_ab_id,
2022-06-07 16:04:49 normalization >     _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at
2022-06-07 16:04:49 normalization > from __dbt__cte__challenge_weapons_ab1
2022-06-07 16:04:49 normalization > -- challenge_weapons
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > )-- SQL model to build a hash column based on the values of this record
2022-06-07 16:04:49 normalization > -- depends_on: __dbt__cte__challenge_weapons_ab2
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     to_hex(md5(cast(concat(coalesce(cast(weapon_id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(challenge_id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_log_file as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), '')) as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ))) as _airbyte_challenge_weapons_hashid,
2022-06-07 16:04:49 normalization >     tmp.*
2022-06-07 16:04:49 normalization > from __dbt__cte__challenge_weapons_ab2 tmp
2022-06-07 16:04:49 normalization > -- challenge_weapons
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > ;
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 16:04:25.836703 [debug] [Thread-3  ]: Writing runtime SQL for node "model.airbyte_utils.coach_match_sub_stats_v2_stg"
2022-06-07 16:04:49 normalization > 16:04:25.837728 [debug] [Thread-4  ]: Opening a new connection, currently in state closed
2022-06-07 16:04:49 normalization > 16:04:25.837997 [debug] [Thread-6  ]: Opening a new connection, currently in state closed
2022-06-07 16:04:49 normalization > 16:04:25.841951 [debug] [Thread-3  ]: Opening a new connection, currently in state closed
2022-06-07 16:04:49 normalization > 16:04:25.848625 [debug] [Thread-3  ]: On model.airbyte_utils.coach_match_sub_stats_v2_stg: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.coach_match_sub_stats_v2_stg"} */
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >   create or replace view `segment-351212`._airbyte_ggpredict_airbyte.`coach_match_sub_stats_v2_stg`
2022-06-07 16:04:49 normalization >   OPTIONS()
2022-06-07 16:04:49 normalization >   as 
2022-06-07 16:04:49 normalization > with __dbt__cte__coach_match_sub_stats_v2_ab1 as (
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema
2022-06-07 16:04:49 normalization > -- depends_on: `segment-351212`.ggpredict_airbyte._airbyte_raw_coach_match_sub_stats_v2
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['score']") as score,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['sub_stat']") as sub_stat,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['coach_match_id']") as coach_match_id,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_log_pos']") as _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['coach_player_id']") as coach_player_id,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_log_file']") as _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_deleted_at']") as _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_updated_at']") as _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >     _airbyte_ab_id,
2022-06-07 16:04:49 normalization >     _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at
2022-06-07 16:04:49 normalization > from `segment-351212`.ggpredict_airbyte._airbyte_raw_coach_match_sub_stats_v2 as table_alias
2022-06-07 16:04:49 normalization > -- coach_match_sub_stats_v2
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > ),  __dbt__cte__coach_match_sub_stats_v2_ab2 as (
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type
2022-06-07 16:04:49 normalization > -- depends_on: __dbt__cte__coach_match_sub_stats_v2_ab1
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     cast(score as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as score,
2022-06-07 16:04:49 normalization >     cast(sub_stat as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as sub_stat,
2022-06-07 16:04:49 normalization >     cast(coach_match_id as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as coach_match_id,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >     cast(coach_player_id as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as coach_player_id,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_log_file as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >     _airbyte_ab_id,
2022-06-07 16:04:49 normalization >     _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at
2022-06-07 16:04:49 normalization > from __dbt__cte__coach_match_sub_stats_v2_ab1
2022-06-07 16:04:49 normalization > -- coach_match_sub_stats_v2
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > )-- SQL model to build a hash column based on the values of this record
2022-06-07 16:04:49 normalization > -- depends_on: __dbt__cte__coach_match_sub_stats_v2_ab2
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     to_hex(md5(cast(concat(coalesce(cast(score as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(sub_stat as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(coach_match_id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(coach_player_id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_log_file as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), '')) as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ))) as _airbyte_coach_match_sub_stats_v2_hashid,
2022-06-07 16:04:49 normalization >     tmp.*
2022-06-07 16:04:49 normalization > from __dbt__cte__coach_match_sub_stats_v2_ab2 tmp
2022-06-07 16:04:49 normalization > -- coach_match_sub_stats_v2
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > ;
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 16:04:25.853168 [debug] [Thread-6  ]: On model.airbyte_utils.coach_match_advanced_stats_v2_stg: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.coach_match_advanced_stats_v2_stg"} */
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >   create or replace view `segment-351212`._airbyte_ggpredict_airbyte.`coach_match_advanced_stats_v2_stg`
2022-06-07 16:04:49 normalization >   OPTIONS()
2022-06-07 16:04:49 normalization >   as 
2022-06-07 16:04:49 normalization > with __dbt__cte__coach_match_advanced_stats_v2_ab1 as (
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema
2022-06-07 16:04:49 normalization > -- depends_on: `segment-351212`.ggpredict_airbyte._airbyte_raw_coach_match_advanced_stats_v2
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['aim']") as aim,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['rifle']") as rifle,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['pistol']") as pistol,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['sniping']") as sniping,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['movement']") as movement,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['teamplay']") as teamplay,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['utilities']") as utilities,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['coach_match_id']") as coach_match_id,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_log_pos']") as _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['coach_player_id']") as coach_player_id,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_log_file']") as _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_deleted_at']") as _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_updated_at']") as _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >     _airbyte_ab_id,
2022-06-07 16:04:49 normalization >     _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at
2022-06-07 16:04:49 normalization > from `segment-351212`.ggpredict_airbyte._airbyte_raw_coach_match_advanced_stats_v2 as table_alias
2022-06-07 16:04:49 normalization > -- coach_match_advanced_stats_v2
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > ),  __dbt__cte__coach_match_advanced_stats_v2_ab2 as (
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type
2022-06-07 16:04:49 normalization > -- depends_on: __dbt__cte__coach_match_advanced_stats_v2_ab1
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     cast(aim as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as aim,
2022-06-07 16:04:49 normalization >     cast(rifle as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as rifle,
2022-06-07 16:04:49 normalization >     cast(pistol as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as pistol,
2022-06-07 16:04:49 normalization >     cast(sniping as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as sniping,
2022-06-07 16:04:49 normalization >     cast(movement as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as movement,
2022-06-07 16:04:49 normalization >     cast(teamplay as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as teamplay,
2022-06-07 16:04:49 normalization >     cast(utilities as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as utilities,
2022-06-07 16:04:49 normalization >     cast(coach_match_id as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as coach_match_id,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >     cast(coach_player_id as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as coach_player_id,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_log_file as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >     _airbyte_ab_id,
2022-06-07 16:04:49 normalization >     _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at
2022-06-07 16:04:49 normalization > from __dbt__cte__coach_match_advanced_stats_v2_ab1
2022-06-07 16:04:49 normalization > -- coach_match_advanced_stats_v2
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > )-- SQL model to build a hash column based on the values of this record
2022-06-07 16:04:49 normalization > -- depends_on: __dbt__cte__coach_match_advanced_stats_v2_ab2
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     to_hex(md5(cast(concat(coalesce(cast(aim as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(rifle as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(pistol as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(sniping as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(movement as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(teamplay as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(utilities as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(coach_match_id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(coach_player_id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_log_file as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), '')) as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ))) as _airbyte_coach_match_advanced_stats_v2_hashid,
2022-06-07 16:04:49 normalization >     tmp.*
2022-06-07 16:04:49 normalization > from __dbt__cte__coach_match_advanced_stats_v2_ab2 tmp
2022-06-07 16:04:49 normalization > -- coach_match_advanced_stats_v2
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > ;
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 16:04:25.853418 [debug] [Thread-4  ]: On model.airbyte_utils.coach_match_missplays_in_rounds_stg: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.coach_match_missplays_in_rounds_stg"} */
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >   create or replace view `segment-351212`._airbyte_ggpredict_airbyte.`coach_match_missplays_in_rounds_stg`
2022-06-07 16:04:49 normalization >   OPTIONS()
2022-06-07 16:04:49 normalization >   as 
2022-06-07 16:04:49 normalization > with __dbt__cte__coach_match_missplays_in_rounds_ab1 as (
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema
2022-06-07 16:04:49 normalization > -- depends_on: `segment-351212`.ggpredict_airbyte._airbyte_raw_coach_match_missplays_in_rounds
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['x']") as x,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['y']") as y,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['z']") as z,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['id']") as id,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['time']") as time,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['round']") as round,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['missplay_id']") as missplay_id,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['coach_match_id']") as coach_match_id,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_log_pos']") as _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['coach_player_id']") as coach_player_id,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_log_file']") as _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_deleted_at']") as _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_updated_at']") as _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >     _airbyte_ab_id,
2022-06-07 16:04:49 normalization >     _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at
2022-06-07 16:04:49 normalization > from `segment-351212`.ggpredict_airbyte._airbyte_raw_coach_match_missplays_in_rounds as table_alias
2022-06-07 16:04:49 normalization > -- coach_match_missplays_in_rounds
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > ),  __dbt__cte__coach_match_missplays_in_rounds_ab2 as (
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type
2022-06-07 16:04:49 normalization > -- depends_on: __dbt__cte__coach_match_missplays_in_rounds_ab1
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     cast(x as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as x,
2022-06-07 16:04:49 normalization >     cast(y as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as y,
2022-06-07 16:04:49 normalization >     cast(z as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as z,
2022-06-07 16:04:49 normalization >     cast(id as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as id,
2022-06-07 16:04:49 normalization >     cast(time as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as time,
2022-06-07 16:04:49 normalization >     cast(round as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as round,
2022-06-07 16:04:49 normalization >     cast(missplay_id as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as missplay_id,
2022-06-07 16:04:49 normalization >     cast(coach_match_id as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as coach_match_id,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >     cast(coach_player_id as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as coach_player_id,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_log_file as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >     _airbyte_ab_id,
2022-06-07 16:04:49 normalization >     _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at
2022-06-07 16:04:49 normalization > from __dbt__cte__coach_match_missplays_in_rounds_ab1
2022-06-07 16:04:49 normalization > -- coach_match_missplays_in_rounds
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > )-- SQL model to build a hash column based on the values of this record
2022-06-07 16:04:49 normalization > -- depends_on: __dbt__cte__coach_match_missplays_in_rounds_ab2
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     to_hex(md5(cast(concat(coalesce(cast(x as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(y as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(z as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(time as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(round as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(missplay_id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(coach_match_id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(coach_player_id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_log_file as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), '')) as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ))) as _airbyte_coach_match_missplays_in_rounds_hashid,
2022-06-07 16:04:49 normalization >     tmp.*
2022-06-07 16:04:49 normalization > from __dbt__cte__coach_match_missplays_in_rounds_ab2 tmp
2022-06-07 16:04:49 normalization > -- coach_match_missplays_in_rounds
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > ;
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 16:04:26.103357 [debug] [Thread-7  ]: BigQuery adapter: Unhandled error while running:
2022-06-07 16:04:49 normalization > /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.challenges_stg"} */
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >   create or replace view `segment-351212`._airbyte_ggpredict_airbyte.`challenges_stg`
2022-06-07 16:04:49 normalization >   OPTIONS()
2022-06-07 16:04:49 normalization >   as 
2022-06-07 16:04:49 normalization > with __dbt__cte__challenges_ab1 as (
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema
2022-06-07 16:04:49 normalization > -- depends_on: `segment-351212`.ggpredict_airbyte._airbyte_raw_challenges
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['id']") as id,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['goal']") as goal,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['difficulty']") as difficulty,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['description']") as description,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_log_pos']") as _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_log_file']") as _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['challenge_type_id']") as challenge_type_id,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_deleted_at']") as _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_updated_at']") as _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >     _airbyte_ab_id,
2022-06-07 16:04:49 normalization >     _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at
2022-06-07 16:04:49 normalization > from `segment-351212`.ggpredict_airbyte._airbyte_raw_challenges as table_alias
2022-06-07 16:04:49 normalization > -- challenges
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > ),  __dbt__cte__challenges_ab2 as (
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type
2022-06-07 16:04:49 normalization > -- depends_on: __dbt__cte__challenges_ab1
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     cast(id as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as id,
2022-06-07 16:04:49 normalization >     cast(goal as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as goal,
2022-06-07 16:04:49 normalization >     cast(difficulty as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as difficulty,
2022-06-07 16:04:49 normalization >     cast(description as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as description,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_log_file as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >     cast(challenge_type_id as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as challenge_type_id,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >     _airbyte_ab_id,
2022-06-07 16:04:49 normalization >     _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at
2022-06-07 16:04:49 normalization > from __dbt__cte__challenges_ab1
2022-06-07 16:04:49 normalization > -- challenges
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > )-- SQL model to build a hash column based on the values of this record
2022-06-07 16:04:49 normalization > -- depends_on: __dbt__cte__challenges_ab2
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     to_hex(md5(cast(concat(coalesce(cast(id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(goal as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(difficulty as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(description as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_log_file as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(challenge_type_id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), '')) as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ))) as _airbyte_challenges_hashid,
2022-06-07 16:04:49 normalization >     tmp.*
2022-06-07 16:04:49 normalization > from __dbt__cte__challenges_ab2 tmp
2022-06-07 16:04:49 normalization > -- challenges
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > ;
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 16:04:26.103870 [debug] [Thread-7  ]: BigQuery adapter: 404 Not found: Table segment-351212:ggpredict_airbyte._airbyte_raw_challenges was not found in location europe-central2
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > (job ID: 12aeb632-be7f-48c1-b37c-69693b60e819)
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >                                                            -----Query Job SQL Follows-----                                                            
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >     |    .    |    .    |    .    |    .    |    .    |    .    |    .    |    .    |    .    |    .    |    .    |    .    |    .    |    .    |
2022-06-07 16:04:49 normalization >    1:/* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.challenges_stg"} */
2022-06-07 16:04:49 normalization >    2:
2022-06-07 16:04:49 normalization >    3:
2022-06-07 16:04:49 normalization >    4:  create or replace view `segment-351212`._airbyte_ggpredict_airbyte.`challenges_stg`
2022-06-07 16:04:49 normalization >    5:  OPTIONS()
2022-06-07 16:04:49 normalization >    6:  as 
2022-06-07 16:04:49 normalization >    7:with __dbt__cte__challenges_ab1 as (
2022-06-07 16:04:49 normalization >    8:
2022-06-07 16:04:49 normalization >    9:-- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema
2022-06-07 16:04:49 normalization >   10:-- depends_on: `segment-351212`.ggpredict_airbyte._airbyte_raw_challenges
2022-06-07 16:04:49 normalization >   11:select
2022-06-07 16:04:49 normalization >   12:    json_extract_scalar(_airbyte_data, "$['id']") as id,
2022-06-07 16:04:49 normalization >   13:    json_extract_scalar(_airbyte_data, "$['goal']") as goal,
2022-06-07 16:04:49 normalization >   14:    json_extract_scalar(_airbyte_data, "$['difficulty']") as difficulty,
2022-06-07 16:04:49 normalization >   15:    json_extract_scalar(_airbyte_data, "$['description']") as description,
2022-06-07 16:04:49 normalization >   16:    json_extract_scalar(_airbyte_data, "$['_ab_cdc_log_pos']") as _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >   17:    json_extract_scalar(_airbyte_data, "$['_ab_cdc_log_file']") as _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >   18:    json_extract_scalar(_airbyte_data, "$['challenge_type_id']") as challenge_type_id,
2022-06-07 16:04:49 normalization >   19:    json_extract_scalar(_airbyte_data, "$['_ab_cdc_deleted_at']") as _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >   20:    json_extract_scalar(_airbyte_data, "$['_ab_cdc_updated_at']") as _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >   21:    _airbyte_ab_id,
2022-06-07 16:04:49 normalization >   22:    _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >   23:    CURRENT_TIMESTAMP() as _airbyte_normalized_at
2022-06-07 16:04:49 normalization >   24:from `segment-351212`.ggpredict_airbyte._airbyte_raw_challenges as table_alias
2022-06-07 16:04:49 normalization >   25:-- challenges
2022-06-07 16:04:49 normalization >   26:where 1 = 1
2022-06-07 16:04:49 normalization >   27:
2022-06-07 16:04:49 normalization >   28:),  __dbt__cte__challenges_ab2 as (
2022-06-07 16:04:49 normalization >   29:
2022-06-07 16:04:49 normalization >   30:-- SQL model to cast each column to its adequate SQL type converted from the JSON schema type
2022-06-07 16:04:49 normalization >   31:-- depends_on: __dbt__cte__challenges_ab1
2022-06-07 16:04:49 normalization >   32:select
2022-06-07 16:04:49 normalization >   33:    cast(id as 
2022-06-07 16:04:49 normalization >   34:    float64
2022-06-07 16:04:49 normalization >   35:) as id,
2022-06-07 16:04:49 normalization >   36:    cast(goal as 
2022-06-07 16:04:49 normalization >   37:    float64
2022-06-07 16:04:49 normalization >   38:) as goal,
2022-06-07 16:04:49 normalization >   39:    cast(difficulty as 
2022-06-07 16:04:49 normalization >   40:    float64
2022-06-07 16:04:49 normalization >   41:) as difficulty,
2022-06-07 16:04:49 normalization >   42:    cast(description as 
2022-06-07 16:04:49 normalization >   43:    string
2022-06-07 16:04:49 normalization >   44:) as description,
2022-06-07 16:04:49 normalization >   45:    cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >   46:    float64
2022-06-07 16:04:49 normalization >   47:) as _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >   48:    cast(_ab_cdc_log_file as 
2022-06-07 16:04:49 normalization >   49:    string
2022-06-07 16:04:49 normalization >   50:) as _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >   51:    cast(challenge_type_id as 
2022-06-07 16:04:49 normalization >   52:    float64
2022-06-07 16:04:49 normalization >   53:) as challenge_type_id,
2022-06-07 16:04:49 normalization >   54:    cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >   55:    string
2022-06-07 16:04:49 normalization >   56:) as _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >   57:    cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >   58:    string
2022-06-07 16:04:49 normalization >   59:) as _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >   60:    _airbyte_ab_id,
2022-06-07 16:04:49 normalization >   61:    _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >   62:    CURRENT_TIMESTAMP() as _airbyte_normalized_at
2022-06-07 16:04:49 normalization >   63:from __dbt__cte__challenges_ab1
2022-06-07 16:04:49 normalization >   64:-- challenges
2022-06-07 16:04:49 normalization >   65:where 1 = 1
2022-06-07 16:04:49 normalization >   66:
2022-06-07 16:04:49 normalization >   67:)-- SQL model to build a hash column based on the values of this record
2022-06-07 16:04:49 normalization >   68:-- depends_on: __dbt__cte__challenges_ab2
2022-06-07 16:04:49 normalization >   69:select
2022-06-07 16:04:49 normalization >   70:    to_hex(md5(cast(concat(coalesce(cast(id as 
2022-06-07 16:04:49 normalization >   71:    string
2022-06-07 16:04:49 normalization >   72:), ''), '-', coalesce(cast(goal as 
2022-06-07 16:04:49 normalization >   73:    string
2022-06-07 16:04:49 normalization >   74:), ''), '-', coalesce(cast(difficulty as 
2022-06-07 16:04:49 normalization >   75:    string
2022-06-07 16:04:49 normalization >   76:), ''), '-', coalesce(cast(description as 
2022-06-07 16:04:49 normalization >   77:    string
2022-06-07 16:04:49 normalization >   78:), ''), '-', coalesce(cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >   79:    string
2022-06-07 16:04:49 normalization >   80:), ''), '-', coalesce(cast(_ab_cdc_log_file as 
2022-06-07 16:04:49 normalization >   81:    string
2022-06-07 16:04:49 normalization >   82:), ''), '-', coalesce(cast(challenge_type_id as 
2022-06-07 16:04:49 normalization >   83:    string
2022-06-07 16:04:49 normalization >   84:), ''), '-', coalesce(cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >   85:    string
2022-06-07 16:04:49 normalization >   86:), ''), '-', coalesce(cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >   87:    string
2022-06-07 16:04:49 normalization >   88:), '')) as 
2022-06-07 16:04:49 normalization >   89:    string
2022-06-07 16:04:49 normalization >   90:))) as _airbyte_challenges_hashid,
2022-06-07 16:04:49 normalization >   91:    tmp.*
2022-06-07 16:04:49 normalization >   92:from __dbt__cte__challenges_ab2 tmp
2022-06-07 16:04:49 normalization >   93:-- challenges
2022-06-07 16:04:49 normalization >   94:where 1 = 1
2022-06-07 16:04:49 normalization >   95:;
2022-06-07 16:04:49 normalization >   96:
2022-06-07 16:04:49 normalization >     |    .    |    .    |    .    |    .    |    .    |    .    |    .    |    .    |    .    |    .    |    .    |    .    |    .    |    .    |
2022-06-07 16:04:49 normalization > 16:04:26.104510 [debug] [Thread-7  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:26.105545 [debug] [Thread-7  ]: Runtime Error in model challenges_stg (models/generated/airbyte_views/ggpredict_airbyte/challenges_stg.sql)
2022-06-07 16:04:49 normalization >   404 Not found: Table segment-351212:ggpredict_airbyte._airbyte_raw_challenges was not found in location europe-central2
2022-06-07 16:04:49 normalization >   
2022-06-07 16:04:49 normalization >   (job ID: 12aeb632-be7f-48c1-b37c-69693b60e819)
2022-06-07 16:04:49 normalization > 16:04:26.106489 [error] [Thread-7  ]: 2 of 78 ERROR creating view model _airbyte_ggpredict_airbyte.challenges_stg............................................. [ERROR in 0.96s]
2022-06-07 16:04:49 normalization > 16:04:26.107528 [debug] [Thread-7  ]: Finished running node model.airbyte_utils.challenges_stg
2022-06-07 16:04:49 normalization > 16:04:26.108181 [debug] [Thread-7  ]: Began running node model.airbyte_utils.coach_match_sub_stats_stg
2022-06-07 16:04:49 normalization > 16:04:26.109529 [info ] [Thread-7  ]: 9 of 78 START view model _airbyte_ggpredict_airbyte.coach_match_sub_stats_stg........................................... [RUN]
2022-06-07 16:04:49 normalization > 16:04:26.110258 [debug] [Thread-7  ]: Acquiring new bigquery connection "model.airbyte_utils.coach_match_sub_stats_stg"
2022-06-07 16:04:49 normalization > 16:04:26.110501 [debug] [Thread-7  ]: Began compiling node model.airbyte_utils.coach_match_sub_stats_stg
2022-06-07 16:04:49 normalization > 16:04:26.110710 [debug] [Thread-7  ]: Compiling model.airbyte_utils.coach_match_sub_stats_stg
2022-06-07 16:04:49 normalization > 16:04:26.143125 [debug] [Thread-7  ]: Writing injected SQL for node "model.airbyte_utils.coach_match_sub_stats_stg"
2022-06-07 16:04:49 normalization > 16:04:26.148836 [debug] [Thread-7  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:26.149135 [debug] [Thread-7  ]: Began executing node model.airbyte_utils.coach_match_sub_stats_stg
2022-06-07 16:04:49 normalization > 16:04:26.155759 [debug] [Thread-7  ]: Writing runtime SQL for node "model.airbyte_utils.coach_match_sub_stats_stg"
2022-06-07 16:04:49 normalization > 16:04:26.156109 [debug] [Thread-7  ]: Opening a new connection, currently in state closed
2022-06-07 16:04:49 normalization > 16:04:26.160593 [debug] [Thread-7  ]: On model.airbyte_utils.coach_match_sub_stats_stg: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.coach_match_sub_stats_stg"} */
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >   create or replace view `segment-351212`._airbyte_ggpredict_airbyte.`coach_match_sub_stats_stg`
2022-06-07 16:04:49 normalization >   OPTIONS()
2022-06-07 16:04:49 normalization >   as 
2022-06-07 16:04:49 normalization > with __dbt__cte__coach_match_sub_stats_ab1 as (
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema
2022-06-07 16:04:49 normalization > -- depends_on: `segment-351212`.ggpredict_airbyte._airbyte_raw_coach_match_sub_stats
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['score']") as score,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['sub_stat']") as sub_stat,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['coach_match_id']") as coach_match_id,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_log_pos']") as _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['coach_player_id']") as coach_player_id,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_log_file']") as _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_deleted_at']") as _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_updated_at']") as _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >     _airbyte_ab_id,
2022-06-07 16:04:49 normalization >     _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at
2022-06-07 16:04:49 normalization > from `segment-351212`.ggpredict_airbyte._airbyte_raw_coach_match_sub_stats as table_alias
2022-06-07 16:04:49 normalization > -- coach_match_sub_stats
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > ),  __dbt__cte__coach_match_sub_stats_ab2 as (
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type
2022-06-07 16:04:49 normalization > -- depends_on: __dbt__cte__coach_match_sub_stats_ab1
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     cast(score as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as score,
2022-06-07 16:04:49 normalization >     cast(sub_stat as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as sub_stat,
2022-06-07 16:04:49 normalization >     cast(coach_match_id as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as coach_match_id,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >     cast(coach_player_id as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as coach_player_id,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_log_file as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >     _airbyte_ab_id,
2022-06-07 16:04:49 normalization >     _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at
2022-06-07 16:04:49 normalization > from __dbt__cte__coach_match_sub_stats_ab1
2022-06-07 16:04:49 normalization > -- coach_match_sub_stats
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > )-- SQL model to build a hash column based on the values of this record
2022-06-07 16:04:49 normalization > -- depends_on: __dbt__cte__coach_match_sub_stats_ab2
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     to_hex(md5(cast(concat(coalesce(cast(score as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(sub_stat as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(coach_match_id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(coach_player_id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_log_file as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), '')) as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ))) as _airbyte_coach_match_sub_stats_hashid,
2022-06-07 16:04:49 normalization >     tmp.*
2022-06-07 16:04:49 normalization > from __dbt__cte__coach_match_sub_stats_ab2 tmp
2022-06-07 16:04:49 normalization > -- coach_match_sub_stats
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > ;
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 16:04:26.306904 [debug] [Thread-6  ]: BigQuery adapter: Unhandled error while running:
2022-06-07 16:04:49 normalization > /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.coach_match_advanced_stats_v2_stg"} */
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >   create or replace view `segment-351212`._airbyte_ggpredict_airbyte.`coach_match_advanced_stats_v2_stg`
2022-06-07 16:04:49 normalization >   OPTIONS()
2022-06-07 16:04:49 normalization >   as 
2022-06-07 16:04:49 normalization > with __dbt__cte__coach_match_advanced_stats_v2_ab1 as (
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema
2022-06-07 16:04:49 normalization > -- depends_on: `segment-351212`.ggpredict_airbyte._airbyte_raw_coach_match_advanced_stats_v2
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['aim']") as aim,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['rifle']") as rifle,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['pistol']") as pistol,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['sniping']") as sniping,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['movement']") as movement,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['teamplay']") as teamplay,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['utilities']") as utilities,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['coach_match_id']") as coach_match_id,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_log_pos']") as _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['coach_player_id']") as coach_player_id,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_log_file']") as _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_deleted_at']") as _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_updated_at']") as _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >     _airbyte_ab_id,
2022-06-07 16:04:49 normalization >     _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at
2022-06-07 16:04:49 normalization > from `segment-351212`.ggpredict_airbyte._airbyte_raw_coach_match_advanced_stats_v2 as table_alias
2022-06-07 16:04:49 normalization > -- coach_match_advanced_stats_v2
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > ),  __dbt__cte__coach_match_advanced_stats_v2_ab2 as (
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type
2022-06-07 16:04:49 normalization > -- depends_on: __dbt__cte__coach_match_advanced_stats_v2_ab1
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     cast(aim as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as aim,
2022-06-07 16:04:49 normalization >     cast(rifle as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as rifle,
2022-06-07 16:04:49 normalization >     cast(pistol as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as pistol,
2022-06-07 16:04:49 normalization >     cast(sniping as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as sniping,
2022-06-07 16:04:49 normalization >     cast(movement as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as movement,
2022-06-07 16:04:49 normalization >     cast(teamplay as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as teamplay,
2022-06-07 16:04:49 normalization >     cast(utilities as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as utilities,
2022-06-07 16:04:49 normalization >     cast(coach_match_id as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as coach_match_id,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >     cast(coach_player_id as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as coach_player_id,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_log_file as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >     _airbyte_ab_id,
2022-06-07 16:04:49 normalization >     _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at
2022-06-07 16:04:49 normalization > from __dbt__cte__coach_match_advanced_stats_v2_ab1
2022-06-07 16:04:49 normalization > -- coach_match_advanced_stats_v2
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > )-- SQL model to build a hash column based on the values of this record
2022-06-07 16:04:49 normalization > -- depends_on: __dbt__cte__coach_match_advanced_stats_v2_ab2
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     to_hex(md5(cast(concat(coalesce(cast(aim as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(rifle as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(pistol as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(sniping as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(movement as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(teamplay as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(utilities as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(coach_match_id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(coach_player_id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_log_file as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), '')) as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ))) as _airbyte_coach_match_advanced_stats_v2_hashid,
2022-06-07 16:04:49 normalization >     tmp.*
2022-06-07 16:04:49 normalization > from __dbt__cte__coach_match_advanced_stats_v2_ab2 tmp
2022-06-07 16:04:49 normalization > -- coach_match_advanced_stats_v2
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > ;
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 16:04:26.307630 [debug] [Thread-6  ]: BigQuery adapter: 404 Not found: Table segment-351212:ggpredict_airbyte._airbyte_raw_coach_match_advanced_stats_v2 was not found in location europe-central2
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > (job ID: dd3c55e9-1916-44fc-a19b-f68b404893d5)
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >                                                                      -----Query Job SQL Follows-----                                                                     
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >     |    .    |    .    |    .    |    .    |    .    |    .    |    .    |    .    |    .    |    .    |    .    |    .    |    .    |    .    |    .    |    .    |
2022-06-07 16:04:49 normalization >    1:/* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.coach_match_advanced_stats_v2_stg"} */
2022-06-07 16:04:49 normalization >    2:
2022-06-07 16:04:49 normalization >    3:
2022-06-07 16:04:49 normalization >    4:  create or replace view `segment-351212`._airbyte_ggpredict_airbyte.`coach_match_advanced_stats_v2_stg`
2022-06-07 16:04:49 normalization >    5:  OPTIONS()
2022-06-07 16:04:49 normalization >    6:  as 
2022-06-07 16:04:49 normalization >    7:with __dbt__cte__coach_match_advanced_stats_v2_ab1 as (
2022-06-07 16:04:49 normalization >    8:
2022-06-07 16:04:49 normalization >    9:-- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema
2022-06-07 16:04:49 normalization >   10:-- depends_on: `segment-351212`.ggpredict_airbyte._airbyte_raw_coach_match_advanced_stats_v2
2022-06-07 16:04:49 normalization >   11:select
2022-06-07 16:04:49 normalization >   12:    json_extract_scalar(_airbyte_data, "$['aim']") as aim,
2022-06-07 16:04:49 normalization >   13:    json_extract_scalar(_airbyte_data, "$['rifle']") as rifle,
2022-06-07 16:04:49 normalization >   14:    json_extract_scalar(_airbyte_data, "$['pistol']") as pistol,
2022-06-07 16:04:49 normalization >   15:    json_extract_scalar(_airbyte_data, "$['sniping']") as sniping,
2022-06-07 16:04:49 normalization >   16:    json_extract_scalar(_airbyte_data, "$['movement']") as movement,
2022-06-07 16:04:49 normalization >   17:    json_extract_scalar(_airbyte_data, "$['teamplay']") as teamplay,
2022-06-07 16:04:49 normalization >   18:    json_extract_scalar(_airbyte_data, "$['utilities']") as utilities,
2022-06-07 16:04:49 normalization >   19:    json_extract_scalar(_airbyte_data, "$['coach_match_id']") as coach_match_id,
2022-06-07 16:04:49 normalization >   20:    json_extract_scalar(_airbyte_data, "$['_ab_cdc_log_pos']") as _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >   21:    json_extract_scalar(_airbyte_data, "$['coach_player_id']") as coach_player_id,
2022-06-07 16:04:49 normalization >   22:    json_extract_scalar(_airbyte_data, "$['_ab_cdc_log_file']") as _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >   23:    json_extract_scalar(_airbyte_data, "$['_ab_cdc_deleted_at']") as _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >   24:    json_extract_scalar(_airbyte_data, "$['_ab_cdc_updated_at']") as _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >   25:    _airbyte_ab_id,
2022-06-07 16:04:49 normalization >   26:    _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >   27:    CURRENT_TIMESTAMP() as _airbyte_normalized_at
2022-06-07 16:04:49 normalization >   28:from `segment-351212`.ggpredict_airbyte._airbyte_raw_coach_match_advanced_stats_v2 as table_alias
2022-06-07 16:04:49 normalization >   29:-- coach_match_advanced_stats_v2
2022-06-07 16:04:49 normalization >   30:where 1 = 1
2022-06-07 16:04:49 normalization >   31:
2022-06-07 16:04:49 normalization >   32:),  __dbt__cte__coach_match_advanced_stats_v2_ab2 as (
2022-06-07 16:04:49 normalization >   33:
2022-06-07 16:04:49 normalization >   34:-- SQL model to cast each column to its adequate SQL type converted from the JSON schema type
2022-06-07 16:04:49 normalization >   35:-- depends_on: __dbt__cte__coach_match_advanced_stats_v2_ab1
2022-06-07 16:04:49 normalization >   36:select
2022-06-07 16:04:49 normalization >   37:    cast(aim as 
2022-06-07 16:04:49 normalization >   38:    float64
2022-06-07 16:04:49 normalization >   39:) as aim,
2022-06-07 16:04:49 normalization >   40:    cast(rifle as 
2022-06-07 16:04:49 normalization >   41:    float64
2022-06-07 16:04:49 normalization >   42:) as rifle,
2022-06-07 16:04:49 normalization >   43:    cast(pistol as 
2022-06-07 16:04:49 normalization >   44:    float64
2022-06-07 16:04:49 normalization >   45:) as pistol,
2022-06-07 16:04:49 normalization >   46:    cast(sniping as 
2022-06-07 16:04:49 normalization >   47:    float64
2022-06-07 16:04:49 normalization >   48:) as sniping,
2022-06-07 16:04:49 normalization >   49:    cast(movement as 
2022-06-07 16:04:49 normalization >   50:    float64
2022-06-07 16:04:49 normalization >   51:) as movement,
2022-06-07 16:04:49 normalization >   52:    cast(teamplay as 
2022-06-07 16:04:49 normalization >   53:    float64
2022-06-07 16:04:49 normalization >   54:) as teamplay,
2022-06-07 16:04:49 normalization >   55:    cast(utilities as 
2022-06-07 16:04:49 normalization >   56:    float64
2022-06-07 16:04:49 normalization >   57:) as utilities,
2022-06-07 16:04:49 normalization >   58:    cast(coach_match_id as 
2022-06-07 16:04:49 normalization >   59:    float64
2022-06-07 16:04:49 normalization >   60:) as coach_match_id,
2022-06-07 16:04:49 normalization >   61:    cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >   62:    float64
2022-06-07 16:04:49 normalization >   63:) as _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >   64:    cast(coach_player_id as 
2022-06-07 16:04:49 normalization >   65:    float64
2022-06-07 16:04:49 normalization >   66:) as coach_player_id,
2022-06-07 16:04:49 normalization >   67:    cast(_ab_cdc_log_file as 
2022-06-07 16:04:49 normalization >   68:    string
2022-06-07 16:04:49 normalization >   69:) as _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >   70:    cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >   71:    string
2022-06-07 16:04:49 normalization >   72:) as _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >   73:    cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >   74:    string
2022-06-07 16:04:49 normalization >   75:) as _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >   76:    _airbyte_ab_id,
2022-06-07 16:04:49 normalization >   77:    _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >   78:    CURRENT_TIMESTAMP() as _airbyte_normalized_at
2022-06-07 16:04:49 normalization >   79:from __dbt__cte__coach_match_advanced_stats_v2_ab1
2022-06-07 16:04:49 normalization >   80:-- coach_match_advanced_stats_v2
2022-06-07 16:04:49 normalization >   81:where 1 = 1
2022-06-07 16:04:49 normalization >   82:
2022-06-07 16:04:49 normalization >   83:)-- SQL model to build a hash column based on the values of this record
2022-06-07 16:04:49 normalization >   84:-- depends_on: __dbt__cte__coach_match_advanced_stats_v2_ab2
2022-06-07 16:04:49 normalization >   85:select
2022-06-07 16:04:49 normalization >   86:    to_hex(md5(cast(concat(coalesce(cast(aim as 
2022-06-07 16:04:49 normalization >   87:    string
2022-06-07 16:04:49 normalization >   88:), ''), '-', coalesce(cast(rifle as 
2022-06-07 16:04:49 normalization >   89:    string
2022-06-07 16:04:49 normalization >   90:), ''), '-', coalesce(cast(pistol as 
2022-06-07 16:04:49 normalization >   91:    string
2022-06-07 16:04:49 normalization >   92:), ''), '-', coalesce(cast(sniping as 
2022-06-07 16:04:49 normalization >   93:    string
2022-06-07 16:04:49 normalization >   94:), ''), '-', coalesce(cast(movement as 
2022-06-07 16:04:49 normalization >   95:    string
2022-06-07 16:04:49 normalization >   96:), ''), '-', coalesce(cast(teamplay as 
2022-06-07 16:04:49 normalization >   97:    string
2022-06-07 16:04:49 normalization >   98:), ''), '-', coalesce(cast(utilities as 
2022-06-07 16:04:49 normalization >   99:    string
2022-06-07 16:04:49 normalization >  100:), ''), '-', coalesce(cast(coach_match_id as 
2022-06-07 16:04:49 normalization >  101:    string
2022-06-07 16:04:49 normalization >  102:), ''), '-', coalesce(cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >  103:    string
2022-06-07 16:04:49 normalization >  104:), ''), '-', coalesce(cast(coach_player_id as 
2022-06-07 16:04:49 normalization >  105:    string
2022-06-07 16:04:49 normalization >  106:), ''), '-', coalesce(cast(_ab_cdc_log_file as 
2022-06-07 16:04:49 normalization >  107:    string
2022-06-07 16:04:49 normalization >  108:), ''), '-', coalesce(cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >  109:    string
2022-06-07 16:04:49 normalization >  110:), ''), '-', coalesce(cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >  111:    string
2022-06-07 16:04:49 normalization >  112:), '')) as 
2022-06-07 16:04:49 normalization >  113:    string
2022-06-07 16:04:49 normalization >  114:))) as _airbyte_coach_match_advanced_stats_v2_hashid,
2022-06-07 16:04:49 normalization >  115:    tmp.*
2022-06-07 16:04:49 normalization >  116:from __dbt__cte__coach_match_advanced_stats_v2_ab2 tmp
2022-06-07 16:04:49 normalization >  117:-- coach_match_advanced_stats_v2
2022-06-07 16:04:49 normalization >  118:where 1 = 1
2022-06-07 16:04:49 normalization >  119:;
2022-06-07 16:04:49 normalization >  120:
2022-06-07 16:04:49 normalization >     |    .    |    .    |    .    |    .    |    .    |    .    |    .    |    .    |    .    |    .    |    .    |    .    |    .    |    .    |    .    |    .    |
2022-06-07 16:04:49 normalization > 16:04:26.309012 [debug] [Thread-6  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:26.312500 [debug] [Thread-6  ]: Runtime Error in model coach_match_advanced_stats_v2_stg (models/generated/airbyte_views/ggpredict_airbyte/coach_match_advanced_stats_v2_stg.sql)
2022-06-07 16:04:49 normalization >   404 Not found: Table segment-351212:ggpredict_airbyte._airbyte_raw_coach_match_advanced_stats_v2 was not found in location europe-central2
2022-06-07 16:04:49 normalization >   
2022-06-07 16:04:49 normalization >   (job ID: dd3c55e9-1916-44fc-a19b-f68b404893d5)
2022-06-07 16:04:49 normalization > 16:04:26.314452 [error] [Thread-6  ]: 6 of 78 ERROR creating view model _airbyte_ggpredict_airbyte.coach_match_advanced_stats_v2_stg.......................... [ERROR in 0.78s]
2022-06-07 16:04:49 normalization > 16:04:26.315432 [debug] [Thread-6  ]: Finished running node model.airbyte_utils.coach_match_advanced_stats_v2_stg
2022-06-07 16:04:49 normalization > 16:04:26.315922 [debug] [Thread-6  ]: Began running node model.airbyte_utils.coach_players_stg
2022-06-07 16:04:49 normalization > 16:04:26.317211 [info ] [Thread-6  ]: 10 of 78 START view model _airbyte_ggpredict_airbyte.coach_players_stg.................................................. [RUN]
2022-06-07 16:04:49 normalization > 16:04:26.318342 [debug] [Thread-6  ]: Acquiring new bigquery connection "model.airbyte_utils.coach_players_stg"
2022-06-07 16:04:49 normalization > 16:04:26.318687 [debug] [Thread-6  ]: Began compiling node model.airbyte_utils.coach_players_stg
2022-06-07 16:04:49 normalization > 16:04:26.319009 [debug] [Thread-6  ]: Compiling model.airbyte_utils.coach_players_stg
2022-06-07 16:04:49 normalization > 16:04:26.351214 [debug] [Thread-6  ]: Writing injected SQL for node "model.airbyte_utils.coach_players_stg"
2022-06-07 16:04:49 normalization > 16:04:26.351556 [debug] [Thread-6  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:26.351740 [debug] [Thread-6  ]: Began executing node model.airbyte_utils.coach_players_stg
2022-06-07 16:04:49 normalization > 16:04:26.356129 [debug] [Thread-6  ]: Writing runtime SQL for node "model.airbyte_utils.coach_players_stg"
2022-06-07 16:04:49 normalization > 16:04:26.356469 [debug] [Thread-6  ]: Opening a new connection, currently in state closed
2022-06-07 16:04:49 normalization > 16:04:26.360457 [debug] [Thread-6  ]: On model.airbyte_utils.coach_players_stg: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.coach_players_stg"} */
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >   create or replace view `segment-351212`._airbyte_ggpredict_airbyte.`coach_players_stg`
2022-06-07 16:04:49 normalization >   OPTIONS()
2022-06-07 16:04:49 normalization >   as 
2022-06-07 16:04:49 normalization > with __dbt__cte__coach_players_ab1 as (
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema
2022-06-07 16:04:49 normalization > -- depends_on: `segment-351212`.ggpredict_airbyte._airbyte_raw_coach_players
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['id']") as id,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['steam_id_64']") as steam_id_64,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['current_rank']") as current_rank,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_log_pos']") as _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_log_file']") as _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_deleted_at']") as _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_updated_at']") as _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >     _airbyte_ab_id,
2022-06-07 16:04:49 normalization >     _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at
2022-06-07 16:04:49 normalization > from `segment-351212`.ggpredict_airbyte._airbyte_raw_coach_players as table_alias
2022-06-07 16:04:49 normalization > -- coach_players
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > ),  __dbt__cte__coach_players_ab2 as (
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type
2022-06-07 16:04:49 normalization > -- depends_on: __dbt__cte__coach_players_ab1
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     cast(id as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as id,
2022-06-07 16:04:49 normalization >     cast(steam_id_64 as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as steam_id_64,
2022-06-07 16:04:49 normalization >     cast(current_rank as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as current_rank,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_log_file as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >     _airbyte_ab_id,
2022-06-07 16:04:49 normalization >     _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at
2022-06-07 16:04:49 normalization > from __dbt__cte__coach_players_ab1
2022-06-07 16:04:49 normalization > -- coach_players
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > )-- SQL model to build a hash column based on the values of this record
2022-06-07 16:04:49 normalization > -- depends_on: __dbt__cte__coach_players_ab2
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     to_hex(md5(cast(concat(coalesce(cast(id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(steam_id_64 as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(current_rank as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_log_file as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), '')) as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ))) as _airbyte_coach_players_hashid,
2022-06-07 16:04:49 normalization >     tmp.*
2022-06-07 16:04:49 normalization > from __dbt__cte__coach_players_ab2 tmp
2022-06-07 16:04:49 normalization > -- coach_players
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > ;
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 16:04:26.570533 [debug] [Thread-2  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:26.571238 [info ] [Thread-2  ]: 4 of 78 OK created view model _airbyte_ggpredict_airbyte.coach_match_advanced_stats_stg................................. [OK in 1.42s]
2022-06-07 16:04:49 normalization > 16:04:26.571769 [debug] [Thread-2  ]: Finished running node model.airbyte_utils.coach_match_advanced_stats_stg
2022-06-07 16:04:49 normalization > 16:04:26.572051 [debug] [Thread-2  ]: Began running node model.airbyte_utils.coach_matches_stg
2022-06-07 16:04:49 normalization > 16:04:26.573118 [info ] [Thread-2  ]: 11 of 78 START view model _airbyte_ggpredict_airbyte.coach_matches_stg.................................................. [RUN]
2022-06-07 16:04:49 normalization > 16:04:26.573766 [debug] [Thread-2  ]: Acquiring new bigquery connection "model.airbyte_utils.coach_matches_stg"
2022-06-07 16:04:49 normalization > 16:04:26.574006 [debug] [Thread-2  ]: Began compiling node model.airbyte_utils.coach_matches_stg
2022-06-07 16:04:49 normalization > 16:04:26.574210 [debug] [Thread-2  ]: Compiling model.airbyte_utils.coach_matches_stg
2022-06-07 16:04:49 normalization > 16:04:26.637327 [debug] [Thread-2  ]: Writing injected SQL for node "model.airbyte_utils.coach_matches_stg"
2022-06-07 16:04:49 normalization > 16:04:26.641751 [debug] [Thread-2  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:26.642126 [debug] [Thread-2  ]: Began executing node model.airbyte_utils.coach_matches_stg
2022-06-07 16:04:49 normalization > 16:04:26.645621 [debug] [Thread-3  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:26.656404 [debug] [Thread-2  ]: Writing runtime SQL for node "model.airbyte_utils.coach_matches_stg"
2022-06-07 16:04:49 normalization > 16:04:26.668055 [info ] [Thread-3  ]: 8 of 78 OK created view model _airbyte_ggpredict_airbyte.coach_match_sub_stats_v2_stg................................... [OK in 1.09s]
2022-06-07 16:04:49 normalization > 16:04:26.684693 [debug] [Thread-3  ]: Finished running node model.airbyte_utils.coach_match_sub_stats_v2_stg
2022-06-07 16:04:49 normalization > 16:04:26.685236 [debug] [Thread-2  ]: Opening a new connection, currently in state closed
2022-06-07 16:04:49 normalization > 16:04:26.685633 [debug] [Thread-3  ]: Began running node model.airbyte_utils.missplays_stg
2022-06-07 16:04:49 normalization > 16:04:26.687134 [info ] [Thread-3  ]: 12 of 78 START view model _airbyte_ggpredict_airbyte.missplays_stg...................................................... [RUN]
2022-06-07 16:04:49 normalization > 16:04:26.688338 [debug] [Thread-3  ]: Acquiring new bigquery connection "model.airbyte_utils.missplays_stg"
2022-06-07 16:04:49 normalization > 16:04:26.688707 [debug] [Thread-3  ]: Began compiling node model.airbyte_utils.missplays_stg
2022-06-07 16:04:49 normalization > 16:04:26.689086 [debug] [Thread-3  ]: Compiling model.airbyte_utils.missplays_stg
2022-06-07 16:04:49 normalization > 16:04:26.716169 [debug] [Thread-4  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:26.721588 [debug] [Thread-2  ]: On model.airbyte_utils.coach_matches_stg: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.coach_matches_stg"} */
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >   create or replace view `segment-351212`._airbyte_ggpredict_airbyte.`coach_matches_stg`
2022-06-07 16:04:49 normalization >   OPTIONS()
2022-06-07 16:04:49 normalization >   as 
2022-06-07 16:04:49 normalization > with __dbt__cte__coach_matches_ab1 as (
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema
2022-06-07 16:04:49 normalization > -- depends_on: `segment-351212`.ggpredict_airbyte._airbyte_raw_coach_matches
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['id']") as id,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['map_id']") as map_id,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['demo_url']") as demo_url,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['match_id']") as match_id,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['reported']") as reported,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['match_date']") as match_date,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['match_type']") as match_type,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['downloaded_at']") as downloaded_at,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['inserted_date']") as inserted_date,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['match_platform']") as match_platform,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_log_pos']") as _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['left_team_score']") as left_team_score,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_log_file']") as _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['right_team_score']") as right_team_score,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['side_surrendered']") as side_surrendered,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_deleted_at']") as _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_updated_at']") as _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['coach_match_states']") as coach_match_states,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['processing_finished']") as processing_finished,
2022-06-07 16:04:49 normalization >     _airbyte_ab_id,
2022-06-07 16:04:49 normalization >     _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at
2022-06-07 16:04:49 normalization > from `segment-351212`.ggpredict_airbyte._airbyte_raw_coach_matches as table_alias
2022-06-07 16:04:49 normalization > -- coach_matches
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > ),  __dbt__cte__coach_matches_ab2 as (
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type
2022-06-07 16:04:49 normalization > -- depends_on: __dbt__cte__coach_matches_ab1
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     cast(id as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as id,
2022-06-07 16:04:49 normalization >     cast(map_id as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as map_id,
2022-06-07 16:04:49 normalization >     cast(demo_url as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as demo_url,
2022-06-07 16:04:49 normalization >     cast(match_id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as match_id,
2022-06-07 16:04:49 normalization >     cast(reported as boolean) as reported,
2022-06-07 16:04:49 normalization >     cast(match_date as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as match_date,
2022-06-07 16:04:49 normalization >     cast(match_type as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as match_type,
2022-06-07 16:04:49 normalization >     cast(downloaded_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as downloaded_at,
2022-06-07 16:04:49 normalization >     cast(inserted_date as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as inserted_date,
2022-06-07 16:04:49 normalization >     cast(match_platform as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as match_platform,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >     cast(left_team_score as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as left_team_score,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_log_file as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >     cast(right_team_score as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as right_team_score,
2022-06-07 16:04:49 normalization >     cast(side_surrendered as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as side_surrendered,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >     cast(coach_match_states as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as coach_match_states,
2022-06-07 16:04:49 normalization >     cast(processing_finished as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as processing_finished,
2022-06-07 16:04:49 normalization >     _airbyte_ab_id,
2022-06-07 16:04:49 normalization >     _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at
2022-06-07 16:04:49 normalization > from __dbt__cte__coach_matches_ab1
2022-06-07 16:04:49 normalization > -- coach_matches
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > )-- SQL model to build a hash column based on the values of this record
2022-06-07 16:04:49 normalization > -- depends_on: __dbt__cte__coach_matches_ab2
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     to_hex(md5(cast(concat(coalesce(cast(id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(map_id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(demo_url as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(match_id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(reported as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(match_date as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(match_type as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(downloaded_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(inserted_date as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(match_platform as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(left_team_score as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_log_file as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(right_team_score as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(side_surrendered as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(coach_match_states as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(processing_finished as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), '')) as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ))) as _airbyte_coach_matches_hashid,
2022-06-07 16:04:49 normalization >     tmp.*
2022-06-07 16:04:49 normalization > from __dbt__cte__coach_matches_ab2 tmp
2022-06-07 16:04:49 normalization > -- coach_matches
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > ;
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 16:04:26.723375 [debug] [Thread-3  ]: Writing injected SQL for node "model.airbyte_utils.missplays_stg"
2022-06-07 16:04:49 normalization > 16:04:26.723949 [info ] [Thread-4  ]: 7 of 78 OK created view model _airbyte_ggpredict_airbyte.coach_match_missplays_in_rounds_stg............................ [OK in 1.16s]
2022-06-07 16:04:49 normalization > 16:04:26.726549 [debug] [Thread-3  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:26.726787 [debug] [Thread-4  ]: Finished running node model.airbyte_utils.coach_match_missplays_in_rounds_stg
2022-06-07 16:04:49 normalization > 16:04:26.726998 [debug] [Thread-3  ]: Began executing node model.airbyte_utils.missplays_stg
2022-06-07 16:04:49 normalization > 16:04:26.727270 [debug] [Thread-4  ]: Began running node model.airbyte_utils.user_challenges_stg
2022-06-07 16:04:49 normalization > 16:04:26.733333 [debug] [Thread-3  ]: Writing runtime SQL for node "model.airbyte_utils.missplays_stg"
2022-06-07 16:04:49 normalization > 16:04:26.736731 [info ] [Thread-4  ]: 13 of 78 START view model _airbyte_ggpredict_airbyte.user_challenges_stg................................................ [RUN]
2022-06-07 16:04:49 normalization > 16:04:26.737825 [debug] [Thread-4  ]: Acquiring new bigquery connection "model.airbyte_utils.user_challenges_stg"
2022-06-07 16:04:49 normalization > 16:04:26.738053 [debug] [Thread-3  ]: Opening a new connection, currently in state closed
2022-06-07 16:04:49 normalization > 16:04:26.738367 [debug] [Thread-4  ]: Began compiling node model.airbyte_utils.user_challenges_stg
2022-06-07 16:04:49 normalization > 16:04:26.738802 [debug] [Thread-4  ]: Compiling model.airbyte_utils.user_challenges_stg
2022-06-07 16:04:49 normalization > 16:04:26.763324 [debug] [Thread-3  ]: On model.airbyte_utils.missplays_stg: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.missplays_stg"} */
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >   create or replace view `segment-351212`._airbyte_ggpredict_airbyte.`missplays_stg`
2022-06-07 16:04:49 normalization >   OPTIONS()
2022-06-07 16:04:49 normalization >   as 
2022-06-07 16:04:49 normalization > with __dbt__cte__missplays_ab1 as (
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema
2022-06-07 16:04:49 normalization > -- depends_on: `segment-351212`.ggpredict_airbyte._airbyte_raw_missplays
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['id']") as id,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['value']") as value,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_log_pos']") as _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_log_file']") as _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_deleted_at']") as _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_updated_at']") as _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >     _airbyte_ab_id,
2022-06-07 16:04:49 normalization >     _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at
2022-06-07 16:04:49 normalization > from `segment-351212`.ggpredict_airbyte._airbyte_raw_missplays as table_alias
2022-06-07 16:04:49 normalization > -- missplays
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > ),  __dbt__cte__missplays_ab2 as (
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type
2022-06-07 16:04:49 normalization > -- depends_on: __dbt__cte__missplays_ab1
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     cast(id as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as id,
2022-06-07 16:04:49 normalization >     cast(value as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as value,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_log_file as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >     _airbyte_ab_id,
2022-06-07 16:04:49 normalization >     _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at
2022-06-07 16:04:49 normalization > from __dbt__cte__missplays_ab1
2022-06-07 16:04:49 normalization > -- missplays
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > )-- SQL model to build a hash column based on the values of this record
2022-06-07 16:04:49 normalization > -- depends_on: __dbt__cte__missplays_ab2
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     to_hex(md5(cast(concat(coalesce(cast(id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(value as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_log_file as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), '')) as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ))) as _airbyte_missplays_hashid,
2022-06-07 16:04:49 normalization >     tmp.*
2022-06-07 16:04:49 normalization > from __dbt__cte__missplays_ab2 tmp
2022-06-07 16:04:49 normalization > -- missplays
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > ;
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 16:04:26.768156 [debug] [Thread-1  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:26.790976 [debug] [Thread-4  ]: Writing injected SQL for node "model.airbyte_utils.user_challenges_stg"
2022-06-07 16:04:49 normalization > 16:04:26.798360 [debug] [Thread-5  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:26.799646 [info ] [Thread-1  ]: 5 of 78 OK created view model _airbyte_ggpredict_airbyte.challenge_weapons_stg.......................................... [OK in 1.31s]
2022-06-07 16:04:49 normalization > 16:04:26.802888 [debug] [Thread-4  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:26.804454 [info ] [Thread-5  ]: 3 of 78 OK created view model _airbyte_ggpredict_airbyte.challenge_types_stg............................................ [OK in 1.65s]
2022-06-07 16:04:49 normalization > 16:04:26.810759 [debug] [Thread-1  ]: Finished running node model.airbyte_utils.challenge_weapons_stg
2022-06-07 16:04:49 normalization > 16:04:26.816145 [debug] [Thread-8  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:26.818008 [debug] [Thread-4  ]: Began executing node model.airbyte_utils.user_challenges_stg
2022-06-07 16:04:49 normalization > 16:04:26.825317 [debug] [Thread-5  ]: Finished running node model.airbyte_utils.challenge_types_stg
2022-06-07 16:04:49 normalization > 16:04:26.825872 [debug] [Thread-1  ]: Began running node model.airbyte_utils.coach_match_lineups_stg
2022-06-07 16:04:49 normalization > 16:04:26.827737 [info ] [Thread-8  ]: 1 of 78 OK created view model _airbyte_ggpredict_airbyte.challenge_maps_stg............................................. [OK in 1.72s]
2022-06-07 16:04:49 normalization > 16:04:26.839007 [debug] [Thread-4  ]: Writing runtime SQL for node "model.airbyte_utils.user_challenges_stg"
2022-06-07 16:04:49 normalization > 16:04:26.839732 [debug] [Thread-5  ]: Began running node model.airbyte_utils.user_matches_stg
2022-06-07 16:04:49 normalization > 16:04:26.841611 [info ] [Thread-1  ]: 14 of 78 START view model _airbyte_ggpredict_airbyte.coach_match_lineups_stg............................................ [RUN]
2022-06-07 16:04:49 normalization > 16:04:26.842812 [debug] [Thread-8  ]: Finished running node model.airbyte_utils.challenge_maps_stg
2022-06-07 16:04:49 normalization > 16:04:26.843505 [debug] [Thread-4  ]: Opening a new connection, currently in state closed
2022-06-07 16:04:49 normalization > 16:04:26.843945 [info ] [Thread-5  ]: 15 of 78 START view model _airbyte_ggpredict_airbyte.user_matches_stg................................................... [RUN]
2022-06-07 16:04:49 normalization > 16:04:26.845550 [debug] [Thread-1  ]: Acquiring new bigquery connection "model.airbyte_utils.coach_match_lineups_stg"
2022-06-07 16:04:49 normalization > 16:04:26.846199 [debug] [Thread-8  ]: Began running node model.airbyte_utils.user_server_live_stats_stg
2022-06-07 16:04:49 normalization > 16:04:26.848404 [debug] [Thread-5  ]: Acquiring new bigquery connection "model.airbyte_utils.user_matches_stg"
2022-06-07 16:04:49 normalization > 16:04:26.848970 [debug] [Thread-1  ]: Began compiling node model.airbyte_utils.coach_match_lineups_stg
2022-06-07 16:04:49 normalization > 16:04:26.849716 [info ] [Thread-8  ]: 16 of 78 START view model _airbyte_ggpredict_airbyte.user_server_live_stats_stg......................................... [RUN]
2022-06-07 16:04:49 normalization > 16:04:26.850337 [debug] [Thread-5  ]: Began compiling node model.airbyte_utils.user_matches_stg
2022-06-07 16:04:49 normalization > 16:04:26.852870 [debug] [Thread-1  ]: Compiling model.airbyte_utils.coach_match_lineups_stg
2022-06-07 16:04:49 normalization > 16:04:26.853310 [debug] [Thread-4  ]: On model.airbyte_utils.user_challenges_stg: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.user_challenges_stg"} */
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >   create or replace view `segment-351212`._airbyte_ggpredict_airbyte.`user_challenges_stg`
2022-06-07 16:04:49 normalization >   OPTIONS()
2022-06-07 16:04:49 normalization >   as 
2022-06-07 16:04:49 normalization > with __dbt__cte__user_challenges_ab1 as (
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema
2022-06-07 16:04:49 normalization > -- depends_on: `segment-351212`.ggpredict_airbyte._airbyte_raw_user_challenges
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['id']") as id,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['user_id']") as user_id,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['progress']") as progress,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['challenge_id']") as challenge_id,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['finished_date']") as finished_date,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['inserted_date']") as inserted_date,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_log_pos']") as _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_log_file']") as _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_deleted_at']") as _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_updated_at']") as _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >     _airbyte_ab_id,
2022-06-07 16:04:49 normalization >     _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at
2022-06-07 16:04:49 normalization > from `segment-351212`.ggpredict_airbyte._airbyte_raw_user_challenges as table_alias
2022-06-07 16:04:49 normalization > -- user_challenges
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > ),  __dbt__cte__user_challenges_ab2 as (
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type
2022-06-07 16:04:49 normalization > -- depends_on: __dbt__cte__user_challenges_ab1
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     cast(id as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as id,
2022-06-07 16:04:49 normalization >     cast(user_id as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as user_id,
2022-06-07 16:04:49 normalization >     cast(progress as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as progress,
2022-06-07 16:04:49 normalization >     cast(challenge_id as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as challenge_id,
2022-06-07 16:04:49 normalization >     cast(finished_date as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as finished_date,
2022-06-07 16:04:49 normalization >     cast(inserted_date as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as inserted_date,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_log_file as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >     _airbyte_ab_id,
2022-06-07 16:04:49 normalization >     _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at
2022-06-07 16:04:49 normalization > from __dbt__cte__user_challenges_ab1
2022-06-07 16:04:49 normalization > -- user_challenges
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > )-- SQL model to build a hash column based on the values of this record
2022-06-07 16:04:49 normalization > -- depends_on: __dbt__cte__user_challenges_ab2
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     to_hex(md5(cast(concat(coalesce(cast(id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(user_id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(progress as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(challenge_id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(finished_date as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(inserted_date as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_log_file as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), '')) as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ))) as _airbyte_user_challenges_hashid,
2022-06-07 16:04:49 normalization >     tmp.*
2022-06-07 16:04:49 normalization > from __dbt__cte__user_challenges_ab2 tmp
2022-06-07 16:04:49 normalization > -- user_challenges
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > ;
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 16:04:26.858983 [debug] [Thread-8  ]: Acquiring new bigquery connection "model.airbyte_utils.user_server_live_stats_stg"
2022-06-07 16:04:49 normalization > 16:04:26.859646 [debug] [Thread-5  ]: Compiling model.airbyte_utils.user_matches_stg
2022-06-07 16:04:49 normalization > 16:04:26.953435 [debug] [Thread-6  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:26.954682 [debug] [Thread-8  ]: Began compiling node model.airbyte_utils.user_server_live_stats_stg
2022-06-07 16:04:49 normalization > 16:04:27.028129 [debug] [Thread-7  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:27.102168 [debug] [Thread-8  ]: Compiling model.airbyte_utils.user_server_live_stats_stg
2022-06-07 16:04:49 normalization > 16:04:27.124523 [debug] [Thread-5  ]: Writing injected SQL for node "model.airbyte_utils.user_matches_stg"
2022-06-07 16:04:49 normalization > 16:04:27.132094 [info ] [Thread-7  ]: 9 of 78 OK created view model _airbyte_ggpredict_airbyte.coach_match_sub_stats_stg...................................... [OK in 1.02s]
2022-06-07 16:04:49 normalization > 16:04:27.229122 [debug] [Thread-8  ]: Writing injected SQL for node "model.airbyte_utils.user_server_live_stats_stg"
2022-06-07 16:04:49 normalization > 16:04:27.269325 [debug] [Thread-7  ]: Finished running node model.airbyte_utils.coach_match_sub_stats_stg
2022-06-07 16:04:49 normalization > 16:04:27.278929 [debug] [Thread-5  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:27.324509 [debug] [Thread-8  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:27.346596 [debug] [Thread-7  ]: Began running node model.airbyte_utils.user_server_stats_stg
2022-06-07 16:04:49 normalization > 16:04:27.393012 [debug] [Thread-5  ]: Began executing node model.airbyte_utils.user_matches_stg
2022-06-07 16:04:49 normalization > 16:04:27.419149 [debug] [Thread-8  ]: Began executing node model.airbyte_utils.user_server_live_stats_stg
2022-06-07 16:04:49 normalization > 16:04:27.445693 [info ] [Thread-6  ]: 10 of 78 OK created view model _airbyte_ggpredict_airbyte.coach_players_stg............................................. [OK in 1.13s]
2022-06-07 16:04:49 normalization > 16:04:27.466161 [info ] [Thread-7  ]: 17 of 78 START view model _airbyte_ggpredict_airbyte.user_server_stats_stg.............................................. [RUN]
2022-06-07 16:04:49 normalization > 16:04:27.508847 [debug] [Thread-5  ]: Writing runtime SQL for node "model.airbyte_utils.user_matches_stg"
2022-06-07 16:04:49 normalization > 16:04:27.556698 [debug] [Thread-8  ]: Writing runtime SQL for node "model.airbyte_utils.user_server_live_stats_stg"
2022-06-07 16:04:49 normalization > 16:04:27.568811 [debug] [Thread-6  ]: Finished running node model.airbyte_utils.coach_players_stg
2022-06-07 16:04:49 normalization > 16:04:27.583198 [debug] [Thread-3  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:27.601350 [debug] [Thread-7  ]: Acquiring new bigquery connection "model.airbyte_utils.user_server_stats_stg"
2022-06-07 16:04:49 normalization > 16:04:27.643801 [debug] [Thread-2  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:27.660094 [debug] [Thread-5  ]: Opening a new connection, currently in state closed
2022-06-07 16:04:49 normalization > 16:04:27.686673 [debug] [Thread-6  ]: Began running node model.airbyte_utils.user_training_v2_level_segment_unit_start_sessions_stg
2022-06-07 16:04:49 normalization > 16:04:27.714707 [debug] [Thread-8  ]: Opening a new connection, currently in state closed
2022-06-07 16:04:49 normalization > 16:04:27.724226 [debug] [Thread-1  ]: Writing injected SQL for node "model.airbyte_utils.coach_match_lineups_stg"
2022-06-07 16:04:49 normalization > 16:04:27.726396 [info ] [Thread-3  ]: 12 of 78 OK created view model _airbyte_ggpredict_airbyte.missplays_stg................................................. [OK in 1.04s]
2022-06-07 16:04:49 normalization > 16:04:27.731390 [debug] [Thread-7  ]: Began compiling node model.airbyte_utils.user_server_stats_stg
2022-06-07 16:04:49 normalization > 16:04:27.732739 [info ] [Thread-2  ]: 11 of 78 OK created view model _airbyte_ggpredict_airbyte.coach_matches_stg............................................. [OK in 1.16s]
2022-06-07 16:04:49 normalization > 16:04:27.733970 [info ] [Thread-6  ]: 18 of 78 START view model _airbyte_ggpredict_airbyte.user_training_v2_level_segment_unit_start_sessions_stg............. [RUN]
2022-06-07 16:04:49 normalization > 16:04:27.735784 [debug] [Thread-1  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:27.736327 [debug] [Thread-3  ]: Finished running node model.airbyte_utils.missplays_stg
2022-06-07 16:04:49 normalization > 16:04:27.736896 [debug] [Thread-7  ]: Compiling model.airbyte_utils.user_server_stats_stg
2022-06-07 16:04:49 normalization > 16:04:27.738234 [debug] [Thread-2  ]: Finished running node model.airbyte_utils.coach_matches_stg
2022-06-07 16:04:49 normalization > 16:04:27.739389 [debug] [Thread-6  ]: Acquiring new bigquery connection "model.airbyte_utils.user_training_v2_level_segment_unit_start_sessions_stg"
2022-06-07 16:04:49 normalization > 16:04:27.739775 [debug] [Thread-1  ]: Began executing node model.airbyte_utils.coach_match_lineups_stg
2022-06-07 16:04:49 normalization > 16:04:27.740312 [debug] [Thread-3  ]: Began running node model.airbyte_utils.user_server_weapon_stats_stg
2022-06-07 16:04:49 normalization > 16:04:27.757863 [debug] [Thread-2  ]: Began running node model.airbyte_utils.user_training_v2_level_segment_unit_stats_stg
2022-06-07 16:04:49 normalization > 16:04:27.773553 [debug] [Thread-8  ]: On model.airbyte_utils.user_server_live_stats_stg: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.user_server_live_stats_stg"} */
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >   create or replace view `segment-351212`._airbyte_ggpredict_airbyte.`user_server_live_stats_stg`
2022-06-07 16:04:49 normalization >   OPTIONS()
2022-06-07 16:04:49 normalization >   as 
2022-06-07 16:04:49 normalization > with __dbt__cte__user_server_live_stats_ab1 as (
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema
2022-06-07 16:04:49 normalization > -- depends_on: `segment-351212`.ggpredict_airbyte._airbyte_raw_user_server_live_stats
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['id']") as id,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['csv_data']") as csv_data,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['inserted_date']") as inserted_date,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_log_pos']") as _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_log_file']") as _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_deleted_at']") as _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_updated_at']") as _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['user_server_stats_id']") as user_server_stats_id,
2022-06-07 16:04:49 normalization >     _airbyte_ab_id,
2022-06-07 16:04:49 normalization >     _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at
2022-06-07 16:04:49 normalization > from `segment-351212`.ggpredict_airbyte._airbyte_raw_user_server_live_stats as table_alias
2022-06-07 16:04:49 normalization > -- user_server_live_stats
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > ),  __dbt__cte__user_server_live_stats_ab2 as (
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type
2022-06-07 16:04:49 normalization > -- depends_on: __dbt__cte__user_server_live_stats_ab1
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     cast(id as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as id,
2022-06-07 16:04:49 normalization >     cast(csv_data as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as csv_data,
2022-06-07 16:04:49 normalization >     cast(inserted_date as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as inserted_date,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_log_file as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >     cast(user_server_stats_id as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as user_server_stats_id,
2022-06-07 16:04:49 normalization >     _airbyte_ab_id,
2022-06-07 16:04:49 normalization >     _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at
2022-06-07 16:04:49 normalization > from __dbt__cte__user_server_live_stats_ab1
2022-06-07 16:04:49 normalization > -- user_server_live_stats
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > )-- SQL model to build a hash column based on the values of this record
2022-06-07 16:04:49 normalization > -- depends_on: __dbt__cte__user_server_live_stats_ab2
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     to_hex(md5(cast(concat(coalesce(cast(id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(csv_data as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(inserted_date as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_log_file as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(user_server_stats_id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), '')) as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ))) as _airbyte_user_server_live_stats_hashid,
2022-06-07 16:04:49 normalization >     tmp.*
2022-06-07 16:04:49 normalization > from __dbt__cte__user_server_live_stats_ab2 tmp
2022-06-07 16:04:49 normalization > -- user_server_live_stats
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > ;
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 16:04:27.773898 [debug] [Thread-5  ]: On model.airbyte_utils.user_matches_stg: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.user_matches_stg"} */
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >   create or replace view `segment-351212`._airbyte_ggpredict_airbyte.`user_matches_stg`
2022-06-07 16:04:49 normalization >   OPTIONS()
2022-06-07 16:04:49 normalization >   as 
2022-06-07 16:04:49 normalization > with __dbt__cte__user_matches_ab1 as (
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema
2022-06-07 16:04:49 normalization > -- depends_on: `segment-351212`.ggpredict_airbyte._airbyte_raw_user_matches
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['user_id']") as user_id,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['team_side']") as team_side,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['steam_id_64']") as steam_id_64,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['coach_match_id']") as coach_match_id,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_log_pos']") as _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_log_file']") as _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_deleted_at']") as _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_updated_at']") as _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >     _airbyte_ab_id,
2022-06-07 16:04:49 normalization >     _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at
2022-06-07 16:04:49 normalization > from `segment-351212`.ggpredict_airbyte._airbyte_raw_user_matches as table_alias
2022-06-07 16:04:49 normalization > -- user_matches
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > ),  __dbt__cte__user_matches_ab2 as (
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type
2022-06-07 16:04:49 normalization > -- depends_on: __dbt__cte__user_matches_ab1
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     cast(user_id as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as user_id,
2022-06-07 16:04:49 normalization >     cast(team_side as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as team_side,
2022-06-07 16:04:49 normalization >     cast(steam_id_64 as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as steam_id_64,
2022-06-07 16:04:49 normalization >     cast(coach_match_id as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as coach_match_id,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_log_file as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >     _airbyte_ab_id,
2022-06-07 16:04:49 normalization >     _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at
2022-06-07 16:04:49 normalization > from __dbt__cte__user_matches_ab1
2022-06-07 16:04:49 normalization > -- user_matches
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > )-- SQL model to build a hash column based on the values of this record
2022-06-07 16:04:49 normalization > -- depends_on: __dbt__cte__user_matches_ab2
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     to_hex(md5(cast(concat(coalesce(cast(user_id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(team_side as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(steam_id_64 as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(coach_match_id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_log_file as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), '')) as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ))) as _airbyte_user_matches_hashid,
2022-06-07 16:04:49 normalization >     tmp.*
2022-06-07 16:04:49 normalization > from __dbt__cte__user_matches_ab2 tmp
2022-06-07 16:04:49 normalization > -- user_matches
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > ;
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 16:04:27.798989 [debug] [Thread-6  ]: Began compiling node model.airbyte_utils.user_training_v2_level_segment_unit_start_sessions_stg
2022-06-07 16:04:49 normalization > 16:04:27.807898 [debug] [Thread-7  ]: Writing injected SQL for node "model.airbyte_utils.user_server_stats_stg"
2022-06-07 16:04:49 normalization > 16:04:27.817554 [debug] [Thread-1  ]: Writing runtime SQL for node "model.airbyte_utils.coach_match_lineups_stg"
2022-06-07 16:04:49 normalization > 16:04:27.819588 [info ] [Thread-3  ]: 19 of 78 START view model _airbyte_ggpredict_airbyte.user_server_weapon_stats_stg....................................... [RUN]
2022-06-07 16:04:49 normalization > 16:04:27.823104 [info ] [Thread-2  ]: 20 of 78 START view model _airbyte_ggpredict_airbyte.user_training_v2_level_segment_unit_stats_stg...................... [RUN]
2022-06-07 16:04:49 normalization > 16:04:27.828881 [debug] [Thread-6  ]: Compiling model.airbyte_utils.user_training_v2_level_segment_unit_start_sessions_stg
2022-06-07 16:04:49 normalization > 16:04:27.829729 [debug] [Thread-7  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:27.830148 [debug] [Thread-1  ]: Opening a new connection, currently in state closed
2022-06-07 16:04:49 normalization > 16:04:27.831512 [debug] [Thread-3  ]: Acquiring new bigquery connection "model.airbyte_utils.user_server_weapon_stats_stg"
2022-06-07 16:04:49 normalization > 16:04:27.835920 [debug] [Thread-2  ]: Acquiring new bigquery connection "model.airbyte_utils.user_training_v2_level_segment_unit_stats_stg"
2022-06-07 16:04:49 normalization > 16:04:27.858312 [debug] [Thread-7  ]: Began executing node model.airbyte_utils.user_server_stats_stg
2022-06-07 16:04:49 normalization > 16:04:27.876829 [debug] [Thread-6  ]: Writing injected SQL for node "model.airbyte_utils.user_training_v2_level_segment_unit_start_sessions_stg"
2022-06-07 16:04:49 normalization > 16:04:27.877449 [debug] [Thread-3  ]: Began compiling node model.airbyte_utils.user_server_weapon_stats_stg
2022-06-07 16:04:49 normalization > 16:04:27.877753 [debug] [Thread-2  ]: Began compiling node model.airbyte_utils.user_training_v2_level_segment_unit_stats_stg
2022-06-07 16:04:49 normalization > 16:04:27.887076 [debug] [Thread-7  ]: Writing runtime SQL for node "model.airbyte_utils.user_server_stats_stg"
2022-06-07 16:04:49 normalization > 16:04:27.887718 [debug] [Thread-3  ]: Compiling model.airbyte_utils.user_server_weapon_stats_stg
2022-06-07 16:04:49 normalization > 16:04:27.887940 [debug] [Thread-6  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:27.888240 [debug] [Thread-1  ]: On model.airbyte_utils.coach_match_lineups_stg: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.coach_match_lineups_stg"} */
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >   create or replace view `segment-351212`._airbyte_ggpredict_airbyte.`coach_match_lineups_stg`
2022-06-07 16:04:49 normalization >   OPTIONS()
2022-06-07 16:04:49 normalization >   as 
2022-06-07 16:04:49 normalization > with __dbt__cte__coach_match_lineups_ab1 as (
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema
2022-06-07 16:04:49 normalization > -- depends_on: `segment-351212`.ggpredict_airbyte._airbyte_raw_coach_match_lineups
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['id']") as id,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['adr']") as adr,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['kast']") as kast,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['mvps']") as mvps,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['awper']") as awper,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['kills']") as kills,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['avatar']") as avatar,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['deaths']") as deaths,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['lurker']") as lurker,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['rating']") as rating,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['rifler']") as rifler,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['traded']") as traded,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['assists']") as assists,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['flashed']") as flashed,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['support']") as support,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['nickname']") as nickname,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['no_kills']") as no_kills,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['t_rating']") as t_rating,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['ct_rating']") as ct_rating,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['dmg_dealt']") as dmg_dealt,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['team_hurt']") as team_hurt,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['team_side']") as team_side,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['cash_spent']") as cash_spent,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['exit_kills']") as exit_kills,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['faceit_elo']") as faceit_elo,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['molo_throw']") as molo_throw,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['own_damage']") as own_damage,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['self_kills']") as self_kills,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['team_kills']") as team_kills,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['bomb_plants']") as bomb_plants,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['cash_earned']") as cash_earned,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['dmg_sources']") as dmg_sources,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['fake_plants']") as fake_plants,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['got_flashed']") as got_flashed,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['knife_kills']") as knife_kills,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['player_rank']") as player_rank,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['rifle_kills']") as rifle_kills,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['site_plants']") as site_plants,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['smoke_throw']") as smoke_throw,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['trade_kills']") as trade_kills,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['weapon_hits']") as weapon_hits,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['awp_accuracy']") as awp_accuracy,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['bomb_defuses']") as bomb_defuses,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['bomb_planted']") as bomb_planted,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['clutch_kills']") as clutch_kills,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['fake_defuses']") as fake_defuses,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['first_to_see']") as first_to_see,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['molo_quality']") as molo_quality,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['site_changes']") as site_changes,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['sniper_kills']") as sniper_kills,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['weapon_drops']") as weapon_drops,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['weapon_shots']") as weapon_shots,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['bombs_defused']") as bombs_defused,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['clutch_plants']") as clutch_plants,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['dies_unscoped']") as dies_unscoped,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['entry_fragger']") as entry_fragger,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['first_damages']") as first_damages,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['flash_assists']") as flash_assists,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['he_efficiency']") as he_efficiency,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['kills_flashed']") as kills_flashed,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['opening_kills']") as opening_kills,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['rifle_hs_rate']") as rifle_hs_rate,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['rounds_played']") as rounds_played,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['smoke_quality']") as smoke_quality,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['utilities_dmg']") as utilities_dmg,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['avg_death_time']") as avg_death_time,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['clutch_defuses']") as clutch_defuses,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['coach_match_id']") as coach_match_id,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['deaths_flashed']") as deaths_flashed,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['early_distance']") as early_distance,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['flashed_deaths']") as flashed_deaths,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['flashes_caused']") as flashes_caused,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['flashes_thrown']") as flashes_thrown,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['headshot_kills']") as headshot_kills,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['multiple_kills']") as multiple_kills,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['opening_deaths']") as opening_deaths,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['opponents_hurt']") as opponents_hurt,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['player_country']") as player_country,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['rifle_accuracy']") as rifle_accuracy,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['rifle_hs_kills']") as rifle_hs_kills,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['rifle_strafing']") as rifle_strafing,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['utilities_used']") as utilities_used,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_log_pos']") as _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['coach_player_id']") as coach_player_id,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['dies_knife_nade']") as dies_knife_nade,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['early_utilities']") as early_utilities,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['sniper_hs_kills']") as sniper_hs_kills,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['sniper_strafing']") as sniper_strafing,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_log_file']") as _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['deaths_no_seeing']") as deaths_no_seeing,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['faceit_player_id']") as faceit_player_id,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['first_round_side']") as first_round_side,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['flash_efficiency']") as flash_efficiency,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['kills_after_fake']") as kills_after_fake,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['kills_to_flashed']") as kills_to_flashed,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['smoke_efficiency']") as smoke_efficiency,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['avg_reaction_time']") as avg_reaction_time,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['awp_shots_to_kill']") as awp_shots_to_kill,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['opponents_flashed']") as opponents_flashed,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['team_players_hurt']") as team_players_hurt,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_deleted_at']") as _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_updated_at']") as _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['scoped_battles_won']") as scoped_battles_won,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['avg_equipment_value']") as avg_equipment_value,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['kills_to_not_seeing']") as kills_to_not_seeing,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['rifle_shots_to_kill']") as rifle_shots_to_kill,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['scoped_battles_lost']") as scoped_battles_lost,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['scoped_weapon_kills']") as scoped_weapon_kills,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['weapon_hits_spotted']") as weapon_hits_spotted,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['avg_distance_covered']") as avg_distance_covered,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['awp_accuracy_spotted']") as awp_accuracy_spotted,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['first_see_in_seconds']") as first_see_in_seconds,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['weapon_shots_spotted']") as weapon_shots_spotted,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['avg_distance_from_team']") as avg_distance_from_team,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['flashed_teammates_time']") as flashed_teammates_time,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['opponents_flashed_time']") as opponents_flashed_time,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['rifle_accuracy_spotted']") as rifle_accuracy_spotted,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['utility_value_at_death']") as utility_value_at_death,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['awp_crosshair_placement']") as awp_crosshair_placement,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['flashes_leading_to_kill']") as flashes_leading_to_kill,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['number_of_possessed_awp']") as number_of_possessed_awp,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['first_contact_in_seconds']") as first_contact_in_seconds,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['avg_distance_in_right_dir']") as avg_distance_in_right_dir,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['rifle_crosshair_placement']") as rifle_crosshair_placement,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['avg_distance_towards_enemy']") as avg_distance_towards_enemy,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['sniper_crosshair_placement']") as sniper_crosshair_placement,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['rifle_shots_spotted_to_shots']") as rifle_shots_spotted_to_shots,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['rifle_sprays_while_opponent_spotted']") as rifle_sprays_while_opponent_spotted,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['rifle_good_hits_while_opponent_spotted']") as rifle_good_hits_while_opponent_spotted,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['rifle_spray_hits_while_opponent_spotted']") as rifle_spray_hits_while_opponent_spotted,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['sniper_good_hits_while_opponent_spotted']") as sniper_good_hits_while_opponent_spotted,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['rifle_weapon_hits_while_opponent_spotted']") as rifle_weapon_hits_while_opponent_spotted,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['rifle_weapon_shots_while_opponent_spotted']") as rifle_weapon_shots_while_opponent_spotted,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['sniper_weapon_hits_while_opponent_spotted']") as sniper_weapon_hits_while_opponent_spotted,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['sniper_weapon_shots_while_opponent_spotted']") as sniper_weapon_shots_while_opponent_spotted,
2022-06-07 16:04:49 normalization >     _airbyte_ab_id,
2022-06-07 16:04:49 normalization >     _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at
2022-06-07 16:04:49 normalization > from `segment-351212`.ggpredict_airbyte._airbyte_raw_coach_match_lineups as table_alias
2022-06-07 16:04:49 normalization > -- coach_match_lineups
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > ),  __dbt__cte__coach_match_lineups_ab2 as (
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type
2022-06-07 16:04:49 normalization > -- depends_on: __dbt__cte__coach_match_lineups_ab1
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     cast(id as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as id,
2022-06-07 16:04:49 normalization >     cast(adr as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as adr,
2022-06-07 16:04:49 normalization >     cast(kast as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as kast,
2022-06-07 16:04:49 normalization >     cast(mvps as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as mvps,
2022-06-07 16:04:49 normalization >     cast(awper as boolean) as awper,
2022-06-07 16:04:49 normalization >     cast(kills as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as kills,
2022-06-07 16:04:49 normalization >     cast(avatar as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as avatar,
2022-06-07 16:04:49 normalization >     cast(deaths as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as deaths,
2022-06-07 16:04:49 normalization >     cast(lurker as boolean) as lurker,
2022-06-07 16:04:49 normalization >     cast(rating as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as rating,
2022-06-07 16:04:49 normalization >     cast(rifler as boolean) as rifler,
2022-06-07 16:04:49 normalization >     cast(traded as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as traded,
2022-06-07 16:04:49 normalization >     cast(assists as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as assists,
2022-06-07 16:04:49 normalization >     cast(flashed as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as flashed,
2022-06-07 16:04:49 normalization >     cast(support as boolean) as support,
2022-06-07 16:04:49 normalization >     cast(nickname as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as nickname,
2022-06-07 16:04:49 normalization >     cast(no_kills as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as no_kills,
2022-06-07 16:04:49 normalization >     cast(t_rating as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as t_rating,
2022-06-07 16:04:49 normalization >     cast(ct_rating as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as ct_rating,
2022-06-07 16:04:49 normalization >     cast(dmg_dealt as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as dmg_dealt,
2022-06-07 16:04:49 normalization >     cast(team_hurt as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as team_hurt,
2022-06-07 16:04:49 normalization >     cast(team_side as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as team_side,
2022-06-07 16:04:49 normalization >     cast(cash_spent as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as cash_spent,
2022-06-07 16:04:49 normalization >     cast(exit_kills as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as exit_kills,
2022-06-07 16:04:49 normalization >     cast(faceit_elo as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as faceit_elo,
2022-06-07 16:04:49 normalization >     cast(molo_throw as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as molo_throw,
2022-06-07 16:04:49 normalization >     cast(own_damage as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as own_damage,
2022-06-07 16:04:49 normalization >     cast(self_kills as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as self_kills,
2022-06-07 16:04:49 normalization >     cast(team_kills as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as team_kills,
2022-06-07 16:04:49 normalization >     cast(bomb_plants as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as bomb_plants,
2022-06-07 16:04:49 normalization >     cast(cash_earned as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as cash_earned,
2022-06-07 16:04:49 normalization >     cast(dmg_sources as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as dmg_sources,
2022-06-07 16:04:49 normalization >     cast(fake_plants as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as fake_plants,
2022-06-07 16:04:49 normalization >     cast(got_flashed as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as got_flashed,
2022-06-07 16:04:49 normalization >     cast(knife_kills as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as knife_kills,
2022-06-07 16:04:49 normalization >     cast(player_rank as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as player_rank,
2022-06-07 16:04:49 normalization >     cast(rifle_kills as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as rifle_kills,
2022-06-07 16:04:49 normalization >     cast(site_plants as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as site_plants,
2022-06-07 16:04:49 normalization >     cast(smoke_throw as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as smoke_throw,
2022-06-07 16:04:49 normalization >     cast(trade_kills as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as trade_kills,
2022-06-07 16:04:49 normalization >     cast(weapon_hits as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as weapon_hits,
2022-06-07 16:04:49 normalization >     cast(awp_accuracy as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as awp_accuracy,
2022-06-07 16:04:49 normalization >     cast(bomb_defuses as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as bomb_defuses,
2022-06-07 16:04:49 normalization >     cast(bomb_planted as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as bomb_planted,
2022-06-07 16:04:49 normalization >     cast(clutch_kills as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as clutch_kills,
2022-06-07 16:04:49 normalization >     cast(fake_defuses as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as fake_defuses,
2022-06-07 16:04:49 normalization >     cast(first_to_see as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as first_to_see,
2022-06-07 16:04:49 normalization >     cast(molo_quality as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as molo_quality,
2022-06-07 16:04:49 normalization >     cast(site_changes as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as site_changes,
2022-06-07 16:04:49 normalization >     cast(sniper_kills as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as sniper_kills,
2022-06-07 16:04:49 normalization >     cast(weapon_drops as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as weapon_drops,
2022-06-07 16:04:49 normalization >     cast(weapon_shots as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as weapon_shots,
2022-06-07 16:04:49 normalization >     cast(bombs_defused as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as bombs_defused,
2022-06-07 16:04:49 normalization >     cast(clutch_plants as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as clutch_plants,
2022-06-07 16:04:49 normalization >     cast(dies_unscoped as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as dies_unscoped,
2022-06-07 16:04:49 normalization >     cast(entry_fragger as boolean) as entry_fragger,
2022-06-07 16:04:49 normalization >     cast(first_damages as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as first_damages,
2022-06-07 16:04:49 normalization >     cast(flash_assists as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as flash_assists,
2022-06-07 16:04:49 normalization >     cast(he_efficiency as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as he_efficiency,
2022-06-07 16:04:49 normalization >     cast(kills_flashed as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as kills_flashed,
2022-06-07 16:04:49 normalization >     cast(opening_kills as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as opening_kills,
2022-06-07 16:04:49 normalization >     cast(rifle_hs_rate as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as rifle_hs_rate,
2022-06-07 16:04:49 normalization >     cast(rounds_played as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as rounds_played,
2022-06-07 16:04:49 normalization >     cast(smoke_quality as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as smoke_quality,
2022-06-07 16:04:49 normalization >     cast(utilities_dmg as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as utilities_dmg,
2022-06-07 16:04:49 normalization >     cast(avg_death_time as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as avg_death_time,
2022-06-07 16:04:49 normalization >     cast(clutch_defuses as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as clutch_defuses,
2022-06-07 16:04:49 normalization >     cast(coach_match_id as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as coach_match_id,
2022-06-07 16:04:49 normalization >     cast(deaths_flashed as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as deaths_flashed,
2022-06-07 16:04:49 normalization >     cast(early_distance as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as early_distance,
2022-06-07 16:04:49 normalization >     cast(flashed_deaths as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as flashed_deaths,
2022-06-07 16:04:49 normalization >     cast(flashes_caused as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as flashes_caused,
2022-06-07 16:04:49 normalization >     cast(flashes_thrown as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as flashes_thrown,
2022-06-07 16:04:49 normalization >     cast(headshot_kills as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as headshot_kills,
2022-06-07 16:04:49 normalization >     cast(multiple_kills as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as multiple_kills,
2022-06-07 16:04:49 normalization >     cast(opening_deaths as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as opening_deaths,
2022-06-07 16:04:49 normalization >     cast(opponents_hurt as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as opponents_hurt,
2022-06-07 16:04:49 normalization >     cast(player_country as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as player_country,
2022-06-07 16:04:49 normalization >     cast(rifle_accuracy as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as rifle_accuracy,
2022-06-07 16:04:49 normalization >     cast(rifle_hs_kills as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as rifle_hs_kills,
2022-06-07 16:04:49 normalization >     cast(rifle_strafing as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as rifle_strafing,
2022-06-07 16:04:49 normalization >     cast(utilities_used as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as utilities_used,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >     cast(coach_player_id as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as coach_player_id,
2022-06-07 16:04:49 normalization >     cast(dies_knife_nade as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as dies_knife_nade,
2022-06-07 16:04:49 normalization >     cast(early_utilities as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as early_utilities,
2022-06-07 16:04:49 normalization >     cast(sniper_hs_kills as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as sniper_hs_kills,
2022-06-07 16:04:49 normalization >     cast(sniper_strafing as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as sniper_strafing,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_log_file as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >     cast(deaths_no_seeing as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as deaths_no_seeing,
2022-06-07 16:04:49 normalization >     cast(faceit_player_id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as faceit_player_id,
2022-06-07 16:04:49 normalization >     cast(first_round_side as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as first_round_side,
2022-06-07 16:04:49 normalization >     cast(flash_efficiency as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as flash_efficiency,
2022-06-07 16:04:49 normalization >     cast(kills_after_fake as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as kills_after_fake,
2022-06-07 16:04:49 normalization >     cast(kills_to_flashed as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as kills_to_flashed,
2022-06-07 16:04:49 normalization >     cast(smoke_efficiency as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as smoke_efficiency,
2022-06-07 16:04:49 normalization >     cast(avg_reaction_time as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as avg_reaction_time,
2022-06-07 16:04:49 normalization >     cast(awp_shots_to_kill as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as awp_shots_to_kill,
2022-06-07 16:04:49 normalization >     cast(opponents_flashed as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as opponents_flashed,
2022-06-07 16:04:49 normalization >     cast(team_players_hurt as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as team_players_hurt,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >     cast(scoped_battles_won as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as scoped_battles_won,
2022-06-07 16:04:49 normalization >     cast(avg_equipment_value as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as avg_equipment_value,
2022-06-07 16:04:49 normalization >     cast(kills_to_not_seeing as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as kills_to_not_seeing,
2022-06-07 16:04:49 normalization >     cast(rifle_shots_to_kill as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as rifle_shots_to_kill,
2022-06-07 16:04:49 normalization >     cast(scoped_battles_lost as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as scoped_battles_lost,
2022-06-07 16:04:49 normalization >     cast(scoped_weapon_kills as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as scoped_weapon_kills,
2022-06-07 16:04:49 normalization >     cast(weapon_hits_spotted as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as weapon_hits_spotted,
2022-06-07 16:04:49 normalization >     cast(avg_distance_covered as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as avg_distance_covered,
2022-06-07 16:04:49 normalization >     cast(awp_accuracy_spotted as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as awp_accuracy_spotted,
2022-06-07 16:04:49 normalization >     cast(first_see_in_seconds as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as first_see_in_seconds,
2022-06-07 16:04:49 normalization >     cast(weapon_shots_spotted as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as weapon_shots_spotted,
2022-06-07 16:04:49 normalization >     cast(avg_distance_from_team as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as avg_distance_from_team,
2022-06-07 16:04:49 normalization >     cast(flashed_teammates_time as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as flashed_teammates_time,
2022-06-07 16:04:49 normalization >     cast(opponents_flashed_time as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as opponents_flashed_time,
2022-06-07 16:04:49 normalization >     cast(rifle_accuracy_spotted as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as rifle_accuracy_spotted,
2022-06-07 16:04:49 normalization >     cast(utility_value_at_death as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as utility_value_at_death,
2022-06-07 16:04:49 normalization >     cast(awp_crosshair_placement as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as awp_crosshair_placement,
2022-06-07 16:04:49 normalization >     cast(flashes_leading_to_kill as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as flashes_leading_to_kill,
2022-06-07 16:04:49 normalization >     cast(number_of_possessed_awp as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as number_of_possessed_awp,
2022-06-07 16:04:49 normalization >     cast(first_contact_in_seconds as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as first_contact_in_seconds,
2022-06-07 16:04:49 normalization >     cast(avg_distance_in_right_dir as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as avg_distance_in_right_dir,
2022-06-07 16:04:49 normalization >     cast(rifle_crosshair_placement as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as rifle_crosshair_placement,
2022-06-07 16:04:49 normalization >     cast(avg_distance_towards_enemy as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as avg_distance_towards_enemy,
2022-06-07 16:04:49 normalization >     cast(sniper_crosshair_placement as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as sniper_crosshair_placement,
2022-06-07 16:04:49 normalization >     cast(rifle_shots_spotted_to_shots as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as rifle_shots_spotted_to_shots,
2022-06-07 16:04:49 normalization >     cast(rifle_sprays_while_opponent_spotted as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as rifle_sprays_while_opponent_spotted,
2022-06-07 16:04:49 normalization >     cast(rifle_good_hits_while_opponent_spotted as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as rifle_good_hits_while_opponent_spotted,
2022-06-07 16:04:49 normalization >     cast(rifle_spray_hits_while_opponent_spotted as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as rifle_spray_hits_while_opponent_spotted,
2022-06-07 16:04:49 normalization >     cast(sniper_good_hits_while_opponent_spotted as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as sniper_good_hits_while_opponent_spotted,
2022-06-07 16:04:49 normalization >     cast(rifle_weapon_hits_while_opponent_spotted as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as rifle_weapon_hits_while_opponent_spotted,
2022-06-07 16:04:49 normalization >     cast(rifle_weapon_shots_while_opponent_spotted as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as rifle_weapon_shots_while_opponent_spotted,
2022-06-07 16:04:49 normalization >     cast(sniper_weapon_hits_while_opponent_spotted as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as sniper_weapon_hits_while_opponent_spotted,
2022-06-07 16:04:49 normalization >     cast(sniper_weapon_shots_while_opponent_spotted as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as sniper_weapon_shots_while_opponent_spotted,
2022-06-07 16:04:49 normalization >     _airbyte_ab_id,
2022-06-07 16:04:49 normalization >     _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at
2022-06-07 16:04:49 normalization > from __dbt__cte__coach_match_lineups_ab1
2022-06-07 16:04:49 normalization > -- coach_match_lineups
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > )-- SQL model to build a hash column based on the values of this record
2022-06-07 16:04:49 normalization > -- depends_on: __dbt__cte__coach_match_lineups_ab2
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     to_hex(md5(cast(concat(coalesce(cast(id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(adr as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(kast as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(mvps as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(awper as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(kills as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(avatar as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(deaths as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(lurker as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(rating as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(rifler as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(traded as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(assists as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(flashed as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(support as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(nickname as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(no_kills as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(t_rating as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(ct_rating as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(dmg_dealt as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(team_hurt as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(team_side as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(cash_spent as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(exit_kills as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(faceit_elo as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(molo_throw as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(own_damage as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(self_kills as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(team_kills as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(bomb_plants as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(cash_earned as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(dmg_sources as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(fake_plants as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(got_flashed as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(knife_kills as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(player_rank as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(rifle_kills as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(site_plants as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(smoke_throw as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(trade_kills as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(weapon_hits as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(awp_accuracy as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(bomb_defuses as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(bomb_planted as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(clutch_kills as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(fake_defuses as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(first_to_see as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(molo_quality as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(site_changes as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(sniper_kills as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(weapon_drops as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(weapon_shots as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(bombs_defused as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(clutch_plants as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(dies_unscoped as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(entry_fragger as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(first_damages as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(flash_assists as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(he_efficiency as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(kills_flashed as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(opening_kills as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(rifle_hs_rate as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(rounds_played as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(smoke_quality as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(utilities_dmg as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(avg_death_time as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(clutch_defuses as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(coach_match_id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(deaths_flashed as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(early_distance as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(flashed_deaths as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(flashes_caused as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(flashes_thrown as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(headshot_kills as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(multiple_kills as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(opening_deaths as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(opponents_hurt as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(player_country as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(rifle_accuracy as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(rifle_hs_kills as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(rifle_strafing as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(utilities_used as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(coach_player_id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(dies_knife_nade as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(early_utilities as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(sniper_hs_kills as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(sniper_strafing as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_log_file as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(deaths_no_seeing as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(faceit_player_id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(first_round_side as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(flash_efficiency as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(kills_after_fake as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(kills_to_flashed as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(smoke_efficiency as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(avg_reaction_time as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(awp_shots_to_kill as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(opponents_flashed as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(team_players_hurt as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(scoped_battles_won as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(avg_equipment_value as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(kills_to_not_seeing as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(rifle_shots_to_kill as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(scoped_battles_lost as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(scoped_weapon_kills as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(weapon_hits_spotted as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(avg_distance_covered as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(awp_accuracy_spotted as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(first_see_in_seconds as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(weapon_shots_spotted as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(avg_distance_from_team as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(flashed_teammates_time as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(opponents_flashed_time as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(rifle_accuracy_spotted as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(utility_value_at_death as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(awp_crosshair_placement as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(flashes_leading_to_kill as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(number_of_possessed_awp as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(first_contact_in_seconds as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(avg_distance_in_right_dir as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(rifle_crosshair_placement as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(avg_distance_towards_enemy as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(sniper_crosshair_placement as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(rifle_shots_spotted_to_shots as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(rifle_sprays_while_opponent_spotted as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(rifle_good_hits_while_opponent_spotted as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(rifle_spray_hits_while_opponent_spotted as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(sniper_good_hits_while_opponent_spotted as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(rifle_weapon_hits_while_opponent_spotted as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(rifle_weapon_shots_while_opponent_spotted as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(sniper_weapon_hits_while_opponent_spotted as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(sniper_weapon_shots_while_opponent_spotted as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), '')) as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ))) as _airbyte_coach_match_lineups_hashid,
2022-06-07 16:04:49 normalization >     tmp.*
2022-06-07 16:04:49 normalization > from __dbt__cte__coach_match_lineups_ab2 tmp
2022-06-07 16:04:49 normalization > -- coach_match_lineups
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > ;
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 16:04:27.888508 [debug] [Thread-2  ]: Compiling model.airbyte_utils.user_training_v2_level_segment_unit_stats_stg
2022-06-07 16:04:49 normalization > 16:04:27.906828 [debug] [Thread-6  ]: Began executing node model.airbyte_utils.user_training_v2_level_segment_unit_start_sessions_stg
2022-06-07 16:04:49 normalization > 16:04:27.907310 [debug] [Thread-7  ]: Opening a new connection, currently in state closed
2022-06-07 16:04:49 normalization > 16:04:27.956611 [debug] [Thread-4  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:27.976260 [debug] [Thread-3  ]: Writing injected SQL for node "model.airbyte_utils.user_server_weapon_stats_stg"
2022-06-07 16:04:49 normalization > 16:04:28.033987 [debug] [Thread-6  ]: Writing runtime SQL for node "model.airbyte_utils.user_training_v2_level_segment_unit_start_sessions_stg"
2022-06-07 16:04:49 normalization > 16:04:28.044697 [debug] [Thread-2  ]: Writing injected SQL for node "model.airbyte_utils.user_training_v2_level_segment_unit_stats_stg"
2022-06-07 16:04:49 normalization > 16:04:28.050152 [info ] [Thread-4  ]: 13 of 78 OK created view model _airbyte_ggpredict_airbyte.user_challenges_stg........................................... [OK in 1.31s]
2022-06-07 16:04:49 normalization > 16:04:28.051597 [debug] [Thread-3  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:28.053652 [debug] [Thread-4  ]: Finished running node model.airbyte_utils.user_challenges_stg
2022-06-07 16:04:49 normalization > 16:04:28.054038 [debug] [Thread-6  ]: Opening a new connection, currently in state closed
2022-06-07 16:04:49 normalization > 16:04:28.054528 [debug] [Thread-2  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:28.054878 [debug] [Thread-3  ]: Began executing node model.airbyte_utils.user_server_weapon_stats_stg
2022-06-07 16:04:49 normalization > 16:04:28.055428 [debug] [Thread-4  ]: Began running node model.airbyte_utils.user_training_v2_level_segment_units_stg
2022-06-07 16:04:49 normalization > 16:04:28.056752 [debug] [Thread-2  ]: Began executing node model.airbyte_utils.user_training_v2_level_segment_unit_stats_stg
2022-06-07 16:04:49 normalization > 16:04:28.065933 [debug] [Thread-3  ]: Writing runtime SQL for node "model.airbyte_utils.user_server_weapon_stats_stg"
2022-06-07 16:04:49 normalization > 16:04:28.066588 [info ] [Thread-4  ]: 21 of 78 START view model _airbyte_ggpredict_airbyte.user_training_v2_level_segment_units_stg........................... [RUN]
2022-06-07 16:04:49 normalization > 16:04:28.067313 [debug] [Thread-7  ]: On model.airbyte_utils.user_server_stats_stg: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.user_server_stats_stg"} */
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >   create or replace view `segment-351212`._airbyte_ggpredict_airbyte.`user_server_stats_stg`
2022-06-07 16:04:49 normalization >   OPTIONS()
2022-06-07 16:04:49 normalization >   as 
2022-06-07 16:04:49 normalization > with __dbt__cte__user_server_stats_ab1 as (
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema
2022-06-07 16:04:49 normalization > -- depends_on: `segment-351212`.ggpredict_airbyte._airbyte_raw_user_server_stats
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['id']") as id,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['kills']") as kills,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['score']") as score,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['deaths']") as deaths,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['region']") as region,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['assists']") as assists,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['suspect']") as suspect,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['user_id']") as user_id,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['kills_hs']") as kills_hs,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['server_id']") as server_id,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['time_in_s']") as time_in_s,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['server_map']") as server_map,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['inserted_date']") as inserted_date,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_log_pos']") as _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['server_hostname']") as server_hostname,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['server_local_ip']") as server_local_ip,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_log_file']") as _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['server_public_ip']") as server_public_ip,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_deleted_at']") as _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_updated_at']") as _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >     _airbyte_ab_id,
2022-06-07 16:04:49 normalization >     _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at
2022-06-07 16:04:49 normalization > from `segment-351212`.ggpredict_airbyte._airbyte_raw_user_server_stats as table_alias
2022-06-07 16:04:49 normalization > -- user_server_stats
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > ),  __dbt__cte__user_server_stats_ab2 as (
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type
2022-06-07 16:04:49 normalization > -- depends_on: __dbt__cte__user_server_stats_ab1
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     cast(id as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as id,
2022-06-07 16:04:49 normalization >     cast(kills as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as kills,
2022-06-07 16:04:49 normalization >     cast(score as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as score,
2022-06-07 16:04:49 normalization >     cast(deaths as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as deaths,
2022-06-07 16:04:49 normalization >     cast(region as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as region,
2022-06-07 16:04:49 normalization >     cast(assists as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as assists,
2022-06-07 16:04:49 normalization >     cast(suspect as boolean) as suspect,
2022-06-07 16:04:49 normalization >     cast(user_id as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as user_id,
2022-06-07 16:04:49 normalization >     cast(kills_hs as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as kills_hs,
2022-06-07 16:04:49 normalization >     cast(server_id as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as server_id,
2022-06-07 16:04:49 normalization >     cast(time_in_s as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as time_in_s,
2022-06-07 16:04:49 normalization >     cast(server_map as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as server_map,
2022-06-07 16:04:49 normalization >     cast(inserted_date as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as inserted_date,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >     cast(server_hostname as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as server_hostname,
2022-06-07 16:04:49 normalization >     cast(server_local_ip as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as server_local_ip,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_log_file as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >     cast(server_public_ip as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as server_public_ip,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >     _airbyte_ab_id,
2022-06-07 16:04:49 normalization >     _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at
2022-06-07 16:04:49 normalization > from __dbt__cte__user_server_stats_ab1
2022-06-07 16:04:49 normalization > -- user_server_stats
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > )-- SQL model to build a hash column based on the values of this record
2022-06-07 16:04:49 normalization > -- depends_on: __dbt__cte__user_server_stats_ab2
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     to_hex(md5(cast(concat(coalesce(cast(id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(kills as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(score as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(deaths as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(region as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(assists as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(suspect as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(user_id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(kills_hs as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(server_id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(time_in_s as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(server_map as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(inserted_date as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(server_hostname as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(server_local_ip as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_log_file as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(server_public_ip as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), '')) as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ))) as _airbyte_user_server_stats_hashid,
2022-06-07 16:04:49 normalization >     tmp.*
2022-06-07 16:04:49 normalization > from __dbt__cte__user_server_stats_ab2 tmp
2022-06-07 16:04:49 normalization > -- user_server_stats
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > ;
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 16:04:28.067709 [debug] [Thread-6  ]: On model.airbyte_utils.user_training_v2_level_segment_unit_start_sessions_stg: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.user_training_v2_level_segment_unit_start_sessions_stg"} */
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >   create or replace view `segment-351212`._airbyte_ggpredict_airbyte.`user_training_v2_level_segment_unit_start_sessions_stg`
2022-06-07 16:04:49 normalization >   OPTIONS()
2022-06-07 16:04:49 normalization >   as 
2022-06-07 16:04:49 normalization > with __dbt__cte__user_training_v2_level_segment_unit_start_sessions_ab1 as (
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema
2022-06-07 16:04:49 normalization > -- depends_on: `segment-351212`.ggpredict_airbyte._airbyte_raw_user_training_v2_level_segment_unit_start_sessions
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['id']") as id,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['server_ip']") as server_ip,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['inserted_date']") as inserted_date,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_log_pos']") as _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_log_file']") as _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_deleted_at']") as _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_updated_at']") as _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['user_training_v2_level_segment_unit_id']") as user_training_v2_level_segment_unit_id,
2022-06-07 16:04:49 normalization >     _airbyte_ab_id,
2022-06-07 16:04:49 normalization >     _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at
2022-06-07 16:04:49 normalization > from `segment-351212`.ggpredict_airbyte._airbyte_raw_user_training_v2_level_segment_unit_start_sessions as table_alias
2022-06-07 16:04:49 normalization > -- user_training_v2_level_segment_unit_start_sessions
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > ),  __dbt__cte__user_training_v2_level_segment_unit_start_sessions_ab2 as (
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type
2022-06-07 16:04:49 normalization > -- depends_on: __dbt__cte__user_training_v2_level_segment_unit_start_sessions_ab1
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     cast(id as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as id,
2022-06-07 16:04:49 normalization >     cast(server_ip as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as server_ip,
2022-06-07 16:04:49 normalization >     cast(inserted_date as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as inserted_date,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_log_file as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >     cast(user_training_v2_level_segment_unit_id as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as user_training_v2_level_segment_unit_id,
2022-06-07 16:04:49 normalization >     _airbyte_ab_id,
2022-06-07 16:04:49 normalization >     _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at
2022-06-07 16:04:49 normalization > from __dbt__cte__user_training_v2_level_segment_unit_start_sessions_ab1
2022-06-07 16:04:49 normalization > -- user_training_v2_level_segment_unit_start_sessions
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > )-- SQL model to build a hash column based on the values of this record
2022-06-07 16:04:49 normalization > -- depends_on: __dbt__cte__user_training_v2_level_segment_unit_start_sessions_ab2
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     to_hex(md5(cast(concat(coalesce(cast(id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(server_ip as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(inserted_date as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_log_file as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(user_training_v2_level_segment_unit_id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), '')) as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ))) as _airbyte_user_training_v2_level_segment_unit_start_sessions_hashid,
2022-06-07 16:04:49 normalization >     tmp.*
2022-06-07 16:04:49 normalization > from __dbt__cte__user_training_v2_level_segment_unit_start_sessions_ab2 tmp
2022-06-07 16:04:49 normalization > -- user_training_v2_level_segment_unit_start_sessions
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > ;
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 16:04:28.076203 [debug] [Thread-2  ]: Writing runtime SQL for node "model.airbyte_utils.user_training_v2_level_segment_unit_stats_stg"
2022-06-07 16:04:49 normalization > 16:04:28.078108 [debug] [Thread-3  ]: Opening a new connection, currently in state closed
2022-06-07 16:04:49 normalization > 16:04:28.078640 [debug] [Thread-4  ]: Acquiring new bigquery connection "model.airbyte_utils.user_training_v2_level_segment_units_stg"
2022-06-07 16:04:49 normalization > 16:04:28.081946 [debug] [Thread-2  ]: Opening a new connection, currently in state closed
2022-06-07 16:04:49 normalization > 16:04:28.082186 [debug] [Thread-4  ]: Began compiling node model.airbyte_utils.user_training_v2_level_segment_units_stg
2022-06-07 16:04:49 normalization > 16:04:28.086670 [debug] [Thread-4  ]: Compiling model.airbyte_utils.user_training_v2_level_segment_units_stg
2022-06-07 16:04:49 normalization > 16:04:28.098846 [debug] [Thread-2  ]: On model.airbyte_utils.user_training_v2_level_segment_unit_stats_stg: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.user_training_v2_level_segment_unit_stats_stg"} */
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >   create or replace view `segment-351212`._airbyte_ggpredict_airbyte.`user_training_v2_level_segment_unit_stats_stg`
2022-06-07 16:04:49 normalization >   OPTIONS()
2022-06-07 16:04:49 normalization >   as 
2022-06-07 16:04:49 normalization > with __dbt__cte__user_training_v2_level_segment_unit_stats_ab1 as (
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema
2022-06-07 16:04:49 normalization > -- depends_on: `segment-351212`.ggpredict_airbyte._airbyte_raw_user_training_v2_level_segment_unit_stats
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['id']") as id,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['map']") as map,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['kills']") as kills,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['deaths']") as deaths,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['assists']") as assists,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['kills_hs']") as kills_hs,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['inserted_date']") as inserted_date,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['play_time_in_s']") as play_time_in_s,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_log_pos']") as _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_log_file']") as _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_deleted_at']") as _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_updated_at']") as _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['user_training_v2_level_segment_unit_id']") as user_training_v2_level_segment_unit_id,
2022-06-07 16:04:49 normalization >     _airbyte_ab_id,
2022-06-07 16:04:49 normalization >     _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at
2022-06-07 16:04:49 normalization > from `segment-351212`.ggpredict_airbyte._airbyte_raw_user_training_v2_level_segment_unit_stats as table_alias
2022-06-07 16:04:49 normalization > -- user_training_v2_level_segment_unit_stats
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > ),  __dbt__cte__user_training_v2_level_segment_unit_stats_ab2 as (
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type
2022-06-07 16:04:49 normalization > -- depends_on: __dbt__cte__user_training_v2_level_segment_unit_stats_ab1
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     cast(id as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as id,
2022-06-07 16:04:49 normalization >     cast(map as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as map,
2022-06-07 16:04:49 normalization >     cast(kills as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as kills,
2022-06-07 16:04:49 normalization >     cast(deaths as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as deaths,
2022-06-07 16:04:49 normalization >     cast(assists as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as assists,
2022-06-07 16:04:49 normalization >     cast(kills_hs as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as kills_hs,
2022-06-07 16:04:49 normalization >     cast(inserted_date as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as inserted_date,
2022-06-07 16:04:49 normalization >     cast(play_time_in_s as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as play_time_in_s,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_log_file as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >     cast(user_training_v2_level_segment_unit_id as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as user_training_v2_level_segment_unit_id,
2022-06-07 16:04:49 normalization >     _airbyte_ab_id,
2022-06-07 16:04:49 normalization >     _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at
2022-06-07 16:04:49 normalization > from __dbt__cte__user_training_v2_level_segment_unit_stats_ab1
2022-06-07 16:04:49 normalization > -- user_training_v2_level_segment_unit_stats
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > )-- SQL model to build a hash column based on the values of this record
2022-06-07 16:04:49 normalization > -- depends_on: __dbt__cte__user_training_v2_level_segment_unit_stats_ab2
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     to_hex(md5(cast(concat(coalesce(cast(id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(map as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(kills as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(deaths as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(assists as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(kills_hs as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(inserted_date as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(play_time_in_s as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_log_file as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(user_training_v2_level_segment_unit_id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), '')) as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ))) as _airbyte_user_training_v2_level_segment_unit_stats_hashid,
2022-06-07 16:04:49 normalization >     tmp.*
2022-06-07 16:04:49 normalization > from __dbt__cte__user_training_v2_level_segment_unit_stats_ab2 tmp
2022-06-07 16:04:49 normalization > -- user_training_v2_level_segment_unit_stats
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > ;
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 16:04:28.104608 [debug] [Thread-3  ]: On model.airbyte_utils.user_server_weapon_stats_stg: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.user_server_weapon_stats_stg"} */
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >   create or replace view `segment-351212`._airbyte_ggpredict_airbyte.`user_server_weapon_stats_stg`
2022-06-07 16:04:49 normalization >   OPTIONS()
2022-06-07 16:04:49 normalization >   as 
2022-06-07 16:04:49 normalization > with __dbt__cte__user_server_weapon_stats_ab1 as (
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema
2022-06-07 16:04:49 normalization > -- depends_on: `segment-351212`.ggpredict_airbyte._airbyte_raw_user_server_weapon_stats
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['id']") as id,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['hits']") as hits,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['kills']") as kills,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['shots']") as shots,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['damage']") as damage,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['kills_hs']") as kills_hs,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['weapon_id']") as weapon_id,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['hitgroup_gear']") as hitgroup_gear,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['hitgroup_head']") as hitgroup_head,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['hitgroup_neck']") as hitgroup_neck,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['hitgroup_chest']") as hitgroup_chest,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_log_pos']") as _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['time_possession']") as time_possession,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_log_file']") as _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['hitgroup_generic']") as hitgroup_generic,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['hitgroup_leftarm']") as hitgroup_leftarm,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['hitgroup_leftleg']") as hitgroup_leftleg,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['hitgroup_stomach']") as hitgroup_stomach,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['hitgroup_rightarm']") as hitgroup_rightarm,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['hitgroup_rightleg']") as hitgroup_rightleg,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_deleted_at']") as _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_updated_at']") as _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['user_server_stats_id']") as user_server_stats_id,
2022-06-07 16:04:49 normalization >     _airbyte_ab_id,
2022-06-07 16:04:49 normalization >     _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at
2022-06-07 16:04:49 normalization > from `segment-351212`.ggpredict_airbyte._airbyte_raw_user_server_weapon_stats as table_alias
2022-06-07 16:04:49 normalization > -- user_server_weapon_stats
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > ),  __dbt__cte__user_server_weapon_stats_ab2 as (
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type
2022-06-07 16:04:49 normalization > -- depends_on: __dbt__cte__user_server_weapon_stats_ab1
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     cast(id as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as id,
2022-06-07 16:04:49 normalization >     cast(hits as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as hits,
2022-06-07 16:04:49 normalization >     cast(kills as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as kills,
2022-06-07 16:04:49 normalization >     cast(shots as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as shots,
2022-06-07 16:04:49 normalization >     cast(damage as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as damage,
2022-06-07 16:04:49 normalization >     cast(kills_hs as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as kills_hs,
2022-06-07 16:04:49 normalization >     cast(weapon_id as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as weapon_id,
2022-06-07 16:04:49 normalization >     cast(hitgroup_gear as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as hitgroup_gear,
2022-06-07 16:04:49 normalization >     cast(hitgroup_head as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as hitgroup_head,
2022-06-07 16:04:49 normalization >     cast(hitgroup_neck as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as hitgroup_neck,
2022-06-07 16:04:49 normalization >     cast(hitgroup_chest as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as hitgroup_chest,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >     cast(time_possession as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as time_possession,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_log_file as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >     cast(hitgroup_generic as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as hitgroup_generic,
2022-06-07 16:04:49 normalization >     cast(hitgroup_leftarm as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as hitgroup_leftarm,
2022-06-07 16:04:49 normalization >     cast(hitgroup_leftleg as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as hitgroup_leftleg,
2022-06-07 16:04:49 normalization >     cast(hitgroup_stomach as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as hitgroup_stomach,
2022-06-07 16:04:49 normalization >     cast(hitgroup_rightarm as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as hitgroup_rightarm,
2022-06-07 16:04:49 normalization >     cast(hitgroup_rightleg as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as hitgroup_rightleg,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >     cast(user_server_stats_id as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as user_server_stats_id,
2022-06-07 16:04:49 normalization >     _airbyte_ab_id,
2022-06-07 16:04:49 normalization >     _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at
2022-06-07 16:04:49 normalization > from __dbt__cte__user_server_weapon_stats_ab1
2022-06-07 16:04:49 normalization > -- user_server_weapon_stats
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > )-- SQL model to build a hash column based on the values of this record
2022-06-07 16:04:49 normalization > -- depends_on: __dbt__cte__user_server_weapon_stats_ab2
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     to_hex(md5(cast(concat(coalesce(cast(id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(hits as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(kills as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(shots as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(damage as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(kills_hs as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(weapon_id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(hitgroup_gear as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(hitgroup_head as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(hitgroup_neck as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(hitgroup_chest as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(time_possession as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_log_file as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(hitgroup_generic as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(hitgroup_leftarm as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(hitgroup_leftleg as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(hitgroup_stomach as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(hitgroup_rightarm as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(hitgroup_rightleg as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(user_server_stats_id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), '')) as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ))) as _airbyte_user_server_weapon_stats_hashid,
2022-06-07 16:04:49 normalization >     tmp.*
2022-06-07 16:04:49 normalization > from __dbt__cte__user_server_weapon_stats_ab2 tmp
2022-06-07 16:04:49 normalization > -- user_server_weapon_stats
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > ;
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 16:04:28.148178 [debug] [Thread-4  ]: Writing injected SQL for node "model.airbyte_utils.user_training_v2_level_segment_units_stg"
2022-06-07 16:04:49 normalization > 16:04:28.152265 [debug] [Thread-4  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:28.152487 [debug] [Thread-4  ]: Began executing node model.airbyte_utils.user_training_v2_level_segment_units_stg
2022-06-07 16:04:49 normalization > 16:04:28.156874 [debug] [Thread-4  ]: Writing runtime SQL for node "model.airbyte_utils.user_training_v2_level_segment_units_stg"
2022-06-07 16:04:49 normalization > 16:04:28.160854 [debug] [Thread-4  ]: Opening a new connection, currently in state closed
2022-06-07 16:04:49 normalization > 16:04:28.165056 [debug] [Thread-4  ]: On model.airbyte_utils.user_training_v2_level_segment_units_stg: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.user_training_v2_level_segment_units_stg"} */
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >   create or replace view `segment-351212`._airbyte_ggpredict_airbyte.`user_training_v2_level_segment_units_stg`
2022-06-07 16:04:49 normalization >   OPTIONS()
2022-06-07 16:04:49 normalization >   as 
2022-06-07 16:04:49 normalization > with __dbt__cte__user_training_v2_level_segment_units_ab1 as (
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema
2022-06-07 16:04:49 normalization > -- depends_on: `segment-351212`.ggpredict_airbyte._airbyte_raw_user_training_v2_level_segment_units
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['id']") as id,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['goal']") as goal,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['name']") as name,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['status']") as status,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['goal_type']") as goal_type,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['started_date']") as started_date,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['completed_date']") as completed_date,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_log_pos']") as _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['message_variant']") as message_variant,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_log_file']") as _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['current_progress']") as current_progress,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['manual_completed']") as manual_completed,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_deleted_at']") as _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_updated_at']") as _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['user_training_v2_level_segment_id']") as user_training_v2_level_segment_id,
2022-06-07 16:04:49 normalization >     _airbyte_ab_id,
2022-06-07 16:04:49 normalization >     _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at
2022-06-07 16:04:49 normalization > from `segment-351212`.ggpredict_airbyte._airbyte_raw_user_training_v2_level_segment_units as table_alias
2022-06-07 16:04:49 normalization > -- user_training_v2_level_segment_units
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > ),  __dbt__cte__user_training_v2_level_segment_units_ab2 as (
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type
2022-06-07 16:04:49 normalization > -- depends_on: __dbt__cte__user_training_v2_level_segment_units_ab1
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     cast(id as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as id,
2022-06-07 16:04:49 normalization >     cast(goal as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as goal,
2022-06-07 16:04:49 normalization >     cast(name as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as name,
2022-06-07 16:04:49 normalization >     cast(status as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as status,
2022-06-07 16:04:49 normalization >     cast(goal_type as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as goal_type,
2022-06-07 16:04:49 normalization >     cast(started_date as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as started_date,
2022-06-07 16:04:49 normalization >     cast(completed_date as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as completed_date,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >     cast(message_variant as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as message_variant,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_log_file as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >     cast(current_progress as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as current_progress,
2022-06-07 16:04:49 normalization >     cast(manual_completed as boolean) as manual_completed,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >     cast(user_training_v2_level_segment_id as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as user_training_v2_level_segment_id,
2022-06-07 16:04:49 normalization >     _airbyte_ab_id,
2022-06-07 16:04:49 normalization >     _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at
2022-06-07 16:04:49 normalization > from __dbt__cte__user_training_v2_level_segment_units_ab1
2022-06-07 16:04:49 normalization > -- user_training_v2_level_segment_units
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > )-- SQL model to build a hash column based on the values of this record
2022-06-07 16:04:49 normalization > -- depends_on: __dbt__cte__user_training_v2_level_segment_units_ab2
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     to_hex(md5(cast(concat(coalesce(cast(id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(goal as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(name as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(status as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(goal_type as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(started_date as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(completed_date as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(message_variant as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_log_file as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(current_progress as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(manual_completed as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(user_training_v2_level_segment_id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), '')) as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ))) as _airbyte_user_training_v2_level_segment_units_hashid,
2022-06-07 16:04:49 normalization >     tmp.*
2022-06-07 16:04:49 normalization > from __dbt__cte__user_training_v2_level_segment_units_ab2 tmp
2022-06-07 16:04:49 normalization > -- user_training_v2_level_segment_units
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > ;
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 16:04:28.405255 [debug] [Thread-7  ]: BigQuery adapter: Unhandled error while running:
2022-06-07 16:04:49 normalization > /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.user_server_stats_stg"} */
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >   create or replace view `segment-351212`._airbyte_ggpredict_airbyte.`user_server_stats_stg`
2022-06-07 16:04:49 normalization >   OPTIONS()
2022-06-07 16:04:49 normalization >   as 
2022-06-07 16:04:49 normalization > with __dbt__cte__user_server_stats_ab1 as (
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema
2022-06-07 16:04:49 normalization > -- depends_on: `segment-351212`.ggpredict_airbyte._airbyte_raw_user_server_stats
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['id']") as id,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['kills']") as kills,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['score']") as score,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['deaths']") as deaths,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['region']") as region,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['assists']") as assists,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['suspect']") as suspect,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['user_id']") as user_id,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['kills_hs']") as kills_hs,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['server_id']") as server_id,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['time_in_s']") as time_in_s,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['server_map']") as server_map,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['inserted_date']") as inserted_date,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_log_pos']") as _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['server_hostname']") as server_hostname,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['server_local_ip']") as server_local_ip,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_log_file']") as _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['server_public_ip']") as server_public_ip,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_deleted_at']") as _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_updated_at']") as _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >     _airbyte_ab_id,
2022-06-07 16:04:49 normalization >     _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at
2022-06-07 16:04:49 normalization > from `segment-351212`.ggpredict_airbyte._airbyte_raw_user_server_stats as table_alias
2022-06-07 16:04:49 normalization > -- user_server_stats
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > ),  __dbt__cte__user_server_stats_ab2 as (
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type
2022-06-07 16:04:49 normalization > -- depends_on: __dbt__cte__user_server_stats_ab1
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     cast(id as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as id,
2022-06-07 16:04:49 normalization >     cast(kills as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as kills,
2022-06-07 16:04:49 normalization >     cast(score as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as score,
2022-06-07 16:04:49 normalization >     cast(deaths as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as deaths,
2022-06-07 16:04:49 normalization >     cast(region as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as region,
2022-06-07 16:04:49 normalization >     cast(assists as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as assists,
2022-06-07 16:04:49 normalization >     cast(suspect as boolean) as suspect,
2022-06-07 16:04:49 normalization >     cast(user_id as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as user_id,
2022-06-07 16:04:49 normalization >     cast(kills_hs as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as kills_hs,
2022-06-07 16:04:49 normalization >     cast(server_id as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as server_id,
2022-06-07 16:04:49 normalization >     cast(time_in_s as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as time_in_s,
2022-06-07 16:04:49 normalization >     cast(server_map as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as server_map,
2022-06-07 16:04:49 normalization >     cast(inserted_date as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as inserted_date,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >     cast(server_hostname as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as server_hostname,
2022-06-07 16:04:49 normalization >     cast(server_local_ip as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as server_local_ip,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_log_file as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >     cast(server_public_ip as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as server_public_ip,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >     _airbyte_ab_id,
2022-06-07 16:04:49 normalization >     _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at
2022-06-07 16:04:49 normalization > from __dbt__cte__user_server_stats_ab1
2022-06-07 16:04:49 normalization > -- user_server_stats
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > )-- SQL model to build a hash column based on the values of this record
2022-06-07 16:04:49 normalization > -- depends_on: __dbt__cte__user_server_stats_ab2
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     to_hex(md5(cast(concat(coalesce(cast(id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(kills as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(score as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(deaths as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(region as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(assists as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(suspect as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(user_id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(kills_hs as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(server_id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(time_in_s as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(server_map as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(inserted_date as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(server_hostname as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(server_local_ip as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_log_file as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(server_public_ip as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), '')) as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ))) as _airbyte_user_server_stats_hashid,
2022-06-07 16:04:49 normalization >     tmp.*
2022-06-07 16:04:49 normalization > from __dbt__cte__user_server_stats_ab2 tmp
2022-06-07 16:04:49 normalization > -- user_server_stats
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > ;
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 16:04:28.405690 [debug] [Thread-7  ]: BigQuery adapter: 404 Not found: Table segment-351212:ggpredict_airbyte._airbyte_raw_user_server_stats was not found in location europe-central2
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > (job ID: 7dee8cad-6013-43b1-baed-8bd02f0d77fb)
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >                                                                -----Query Job SQL Follows-----                                                               
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >     |    .    |    .    |    .    |    .    |    .    |    .    |    .    |    .    |    .    |    .    |    .    |    .    |    .    |    .    |    .    |
2022-06-07 16:04:49 normalization >    1:/* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.user_server_stats_stg"} */
2022-06-07 16:04:49 normalization >    2:
2022-06-07 16:04:49 normalization >    3:
2022-06-07 16:04:49 normalization >    4:  create or replace view `segment-351212`._airbyte_ggpredict_airbyte.`user_server_stats_stg`
2022-06-07 16:04:49 normalization >    5:  OPTIONS()
2022-06-07 16:04:49 normalization >    6:  as 
2022-06-07 16:04:49 normalization >    7:with __dbt__cte__user_server_stats_ab1 as (
2022-06-07 16:04:49 normalization >    8:
2022-06-07 16:04:49 normalization >    9:-- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema
2022-06-07 16:04:49 normalization >   10:-- depends_on: `segment-351212`.ggpredict_airbyte._airbyte_raw_user_server_stats
2022-06-07 16:04:49 normalization >   11:select
2022-06-07 16:04:49 normalization >   12:    json_extract_scalar(_airbyte_data, "$['id']") as id,
2022-06-07 16:04:49 normalization >   13:    json_extract_scalar(_airbyte_data, "$['kills']") as kills,
2022-06-07 16:04:49 normalization >   14:    json_extract_scalar(_airbyte_data, "$['score']") as score,
2022-06-07 16:04:49 normalization >   15:    json_extract_scalar(_airbyte_data, "$['deaths']") as deaths,
2022-06-07 16:04:49 normalization >   16:    json_extract_scalar(_airbyte_data, "$['region']") as region,
2022-06-07 16:04:49 normalization >   17:    json_extract_scalar(_airbyte_data, "$['assists']") as assists,
2022-06-07 16:04:49 normalization >   18:    json_extract_scalar(_airbyte_data, "$['suspect']") as suspect,
2022-06-07 16:04:49 normalization >   19:    json_extract_scalar(_airbyte_data, "$['user_id']") as user_id,
2022-06-07 16:04:49 normalization >   20:    json_extract_scalar(_airbyte_data, "$['kills_hs']") as kills_hs,
2022-06-07 16:04:49 normalization >   21:    json_extract_scalar(_airbyte_data, "$['server_id']") as server_id,
2022-06-07 16:04:49 normalization >   22:    json_extract_scalar(_airbyte_data, "$['time_in_s']") as time_in_s,
2022-06-07 16:04:49 normalization >   23:    json_extract_scalar(_airbyte_data, "$['server_map']") as server_map,
2022-06-07 16:04:49 normalization >   24:    json_extract_scalar(_airbyte_data, "$['inserted_date']") as inserted_date,
2022-06-07 16:04:49 normalization >   25:    json_extract_scalar(_airbyte_data, "$['_ab_cdc_log_pos']") as _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >   26:    json_extract_scalar(_airbyte_data, "$['server_hostname']") as server_hostname,
2022-06-07 16:04:49 normalization >   27:    json_extract_scalar(_airbyte_data, "$['server_local_ip']") as server_local_ip,
2022-06-07 16:04:49 normalization >   28:    json_extract_scalar(_airbyte_data, "$['_ab_cdc_log_file']") as _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >   29:    json_extract_scalar(_airbyte_data, "$['server_public_ip']") as server_public_ip,
2022-06-07 16:04:49 normalization >   30:    json_extract_scalar(_airbyte_data, "$['_ab_cdc_deleted_at']") as _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >   31:    json_extract_scalar(_airbyte_data, "$['_ab_cdc_updated_at']") as _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >   32:    _airbyte_ab_id,
2022-06-07 16:04:49 normalization >   33:    _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >   34:    CURRENT_TIMESTAMP() as _airbyte_normalized_at
2022-06-07 16:04:49 normalization >   35:from `segment-351212`.ggpredict_airbyte._airbyte_raw_user_server_stats as table_alias
2022-06-07 16:04:49 normalization >   36:-- user_server_stats
2022-06-07 16:04:49 normalization >   37:where 1 = 1
2022-06-07 16:04:49 normalization >   38:
2022-06-07 16:04:49 normalization >   39:),  __dbt__cte__user_server_stats_ab2 as (
2022-06-07 16:04:49 normalization >   40:
2022-06-07 16:04:49 normalization >   41:-- SQL model to cast each column to its adequate SQL type converted from the JSON schema type
2022-06-07 16:04:49 normalization >   42:-- depends_on: __dbt__cte__user_server_stats_ab1
2022-06-07 16:04:49 normalization >   43:select
2022-06-07 16:04:49 normalization >   44:    cast(id as 
2022-06-07 16:04:49 normalization >   45:    float64
2022-06-07 16:04:49 normalization >   46:) as id,
2022-06-07 16:04:49 normalization >   47:    cast(kills as 
2022-06-07 16:04:49 normalization >   48:    float64
2022-06-07 16:04:49 normalization >   49:) as kills,
2022-06-07 16:04:49 normalization >   50:    cast(score as 
2022-06-07 16:04:49 normalization >   51:    float64
2022-06-07 16:04:49 normalization >   52:) as score,
2022-06-07 16:04:49 normalization >   53:    cast(deaths as 
2022-06-07 16:04:49 normalization >   54:    float64
2022-06-07 16:04:49 normalization >   55:) as deaths,
2022-06-07 16:04:49 normalization >   56:    cast(region as 
2022-06-07 16:04:49 normalization >   57:    string
2022-06-07 16:04:49 normalization >   58:) as region,
2022-06-07 16:04:49 normalization >   59:    cast(assists as 
2022-06-07 16:04:49 normalization >   60:    float64
2022-06-07 16:04:49 normalization >   61:) as assists,
2022-06-07 16:04:49 normalization >   62:    cast(suspect as boolean) as suspect,
2022-06-07 16:04:49 normalization >   63:    cast(user_id as 
2022-06-07 16:04:49 normalization >   64:    float64
2022-06-07 16:04:49 normalization >   65:) as user_id,
2022-06-07 16:04:49 normalization >   66:    cast(kills_hs as 
2022-06-07 16:04:49 normalization >   67:    float64
2022-06-07 16:04:49 normalization >   68:) as kills_hs,
2022-06-07 16:04:49 normalization >   69:    cast(server_id as 
2022-06-07 16:04:49 normalization >   70:    float64
2022-06-07 16:04:49 normalization >   71:) as server_id,
2022-06-07 16:04:49 normalization >   72:    cast(time_in_s as 
2022-06-07 16:04:49 normalization >   73:    float64
2022-06-07 16:04:49 normalization >   74:) as time_in_s,
2022-06-07 16:04:49 normalization >   75:    cast(server_map as 
2022-06-07 16:04:49 normalization >   76:    string
2022-06-07 16:04:49 normalization >   77:) as server_map,
2022-06-07 16:04:49 normalization >   78:    cast(inserted_date as 
2022-06-07 16:04:49 normalization >   79:    string
2022-06-07 16:04:49 normalization >   80:) as inserted_date,
2022-06-07 16:04:49 normalization >   81:    cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >   82:    float64
2022-06-07 16:04:49 normalization >   83:) as _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >   84:    cast(server_hostname as 
2022-06-07 16:04:49 normalization >   85:    string
2022-06-07 16:04:49 normalization >   86:) as server_hostname,
2022-06-07 16:04:49 normalization >   87:    cast(server_local_ip as 
2022-06-07 16:04:49 normalization >   88:    string
2022-06-07 16:04:49 normalization >   89:) as server_local_ip,
2022-06-07 16:04:49 normalization >   90:    cast(_ab_cdc_log_file as 
2022-06-07 16:04:49 normalization >   91:    string
2022-06-07 16:04:49 normalization >   92:) as _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >   93:    cast(server_public_ip as 
2022-06-07 16:04:49 normalization >   94:    string
2022-06-07 16:04:49 normalization >   95:) as server_public_ip,
2022-06-07 16:04:49 normalization >   96:    cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >   97:    string
2022-06-07 16:04:49 normalization >   98:) as _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >   99:    cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >  100:    string
2022-06-07 16:04:49 normalization >  101:) as _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >  102:    _airbyte_ab_id,
2022-06-07 16:04:49 normalization >  103:    _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >  104:    CURRENT_TIMESTAMP() as _airbyte_normalized_at
2022-06-07 16:04:49 normalization >  105:from __dbt__cte__user_server_stats_ab1
2022-06-07 16:04:49 normalization >  106:-- user_server_stats
2022-06-07 16:04:49 normalization >  107:where 1 = 1
2022-06-07 16:04:49 normalization >  108:
2022-06-07 16:04:49 normalization >  109:)-- SQL model to build a hash column based on the values of this record
2022-06-07 16:04:49 normalization >  110:-- depends_on: __dbt__cte__user_server_stats_ab2
2022-06-07 16:04:49 normalization >  111:select
2022-06-07 16:04:49 normalization >  112:    to_hex(md5(cast(concat(coalesce(cast(id as 
2022-06-07 16:04:49 normalization >  113:    string
2022-06-07 16:04:49 normalization >  114:), ''), '-', coalesce(cast(kills as 
2022-06-07 16:04:49 normalization >  115:    string
2022-06-07 16:04:49 normalization >  116:), ''), '-', coalesce(cast(score as 
2022-06-07 16:04:49 normalization >  117:    string
2022-06-07 16:04:49 normalization >  118:), ''), '-', coalesce(cast(deaths as 
2022-06-07 16:04:49 normalization >  119:    string
2022-06-07 16:04:49 normalization >  120:), ''), '-', coalesce(cast(region as 
2022-06-07 16:04:49 normalization >  121:    string
2022-06-07 16:04:49 normalization >  122:), ''), '-', coalesce(cast(assists as 
2022-06-07 16:04:49 normalization >  123:    string
2022-06-07 16:04:49 normalization >  124:), ''), '-', coalesce(cast(suspect as 
2022-06-07 16:04:49 normalization >  125:    string
2022-06-07 16:04:49 normalization >  126:), ''), '-', coalesce(cast(user_id as 
2022-06-07 16:04:49 normalization >  127:    string
2022-06-07 16:04:49 normalization >  128:), ''), '-', coalesce(cast(kills_hs as 
2022-06-07 16:04:49 normalization >  129:    string
2022-06-07 16:04:49 normalization >  130:), ''), '-', coalesce(cast(server_id as 
2022-06-07 16:04:49 normalization >  131:    string
2022-06-07 16:04:49 normalization >  132:), ''), '-', coalesce(cast(time_in_s as 
2022-06-07 16:04:49 normalization >  133:    string
2022-06-07 16:04:49 normalization >  134:), ''), '-', coalesce(cast(server_map as 
2022-06-07 16:04:49 normalization >  135:    string
2022-06-07 16:04:49 normalization >  136:), ''), '-', coalesce(cast(inserted_date as 
2022-06-07 16:04:49 normalization >  137:    string
2022-06-07 16:04:49 normalization >  138:), ''), '-', coalesce(cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >  139:    string
2022-06-07 16:04:49 normalization >  140:), ''), '-', coalesce(cast(server_hostname as 
2022-06-07 16:04:49 normalization >  141:    string
2022-06-07 16:04:49 normalization >  142:), ''), '-', coalesce(cast(server_local_ip as 
2022-06-07 16:04:49 normalization >  143:    string
2022-06-07 16:04:49 normalization >  144:), ''), '-', coalesce(cast(_ab_cdc_log_file as 
2022-06-07 16:04:49 normalization >  145:    string
2022-06-07 16:04:49 normalization >  146:), ''), '-', coalesce(cast(server_public_ip as 
2022-06-07 16:04:49 normalization >  147:    string
2022-06-07 16:04:49 normalization >  148:), ''), '-', coalesce(cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >  149:    string
2022-06-07 16:04:49 normalization >  150:), ''), '-', coalesce(cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >  151:    string
2022-06-07 16:04:49 normalization >  152:), '')) as 
2022-06-07 16:04:49 normalization >  153:    string
2022-06-07 16:04:49 normalization >  154:))) as _airbyte_user_server_stats_hashid,
2022-06-07 16:04:49 normalization >  155:    tmp.*
2022-06-07 16:04:49 normalization >  156:from __dbt__cte__user_server_stats_ab2 tmp
2022-06-07 16:04:49 normalization >  157:-- user_server_stats
2022-06-07 16:04:49 normalization >  158:where 1 = 1
2022-06-07 16:04:49 normalization >  159:;
2022-06-07 16:04:49 normalization >  160:
2022-06-07 16:04:49 normalization >     |    .    |    .    |    .    |    .    |    .    |    .    |    .    |    .    |    .    |    .    |    .    |    .    |    .    |    .    |    .    |
2022-06-07 16:04:49 normalization > 16:04:28.406221 [debug] [Thread-7  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:28.407095 [debug] [Thread-7  ]: Runtime Error in model user_server_stats_stg (models/generated/airbyte_views/ggpredict_airbyte/user_server_stats_stg.sql)
2022-06-07 16:04:49 normalization >   404 Not found: Table segment-351212:ggpredict_airbyte._airbyte_raw_user_server_stats was not found in location europe-central2
2022-06-07 16:04:49 normalization >   
2022-06-07 16:04:49 normalization >   (job ID: 7dee8cad-6013-43b1-baed-8bd02f0d77fb)
2022-06-07 16:04:49 normalization > 16:04:28.407879 [error] [Thread-7  ]: 17 of 78 ERROR creating view model _airbyte_ggpredict_airbyte.user_server_stats_stg..................................... [ERROR in 0.81s]
2022-06-07 16:04:49 normalization > 16:04:28.408672 [debug] [Thread-7  ]: Finished running node model.airbyte_utils.user_server_stats_stg
2022-06-07 16:04:49 normalization > 16:04:28.409151 [debug] [Thread-7  ]: Began running node model.airbyte_utils.user_training_v2_level_segments_stg
2022-06-07 16:04:49 normalization > 16:04:28.410498 [info ] [Thread-7  ]: 22 of 78 START view model _airbyte_ggpredict_airbyte.user_training_v2_level_segments_stg................................ [RUN]
2022-06-07 16:04:49 normalization > 16:04:28.411694 [debug] [Thread-7  ]: Acquiring new bigquery connection "model.airbyte_utils.user_training_v2_level_segments_stg"
2022-06-07 16:04:49 normalization > 16:04:28.412036 [debug] [Thread-7  ]: Began compiling node model.airbyte_utils.user_training_v2_level_segments_stg
2022-06-07 16:04:49 normalization > 16:04:28.412343 [debug] [Thread-7  ]: Compiling model.airbyte_utils.user_training_v2_level_segments_stg
2022-06-07 16:04:49 normalization > 16:04:28.451100 [debug] [Thread-7  ]: Writing injected SQL for node "model.airbyte_utils.user_training_v2_level_segments_stg"
2022-06-07 16:04:49 normalization > 16:04:28.454953 [debug] [Thread-7  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:28.455579 [debug] [Thread-7  ]: Began executing node model.airbyte_utils.user_training_v2_level_segments_stg
2022-06-07 16:04:49 normalization > 16:04:28.460150 [debug] [Thread-7  ]: Writing runtime SQL for node "model.airbyte_utils.user_training_v2_level_segments_stg"
2022-06-07 16:04:49 normalization > 16:04:28.462878 [debug] [Thread-1  ]: BigQuery adapter: Unhandled error while running:
2022-06-07 16:04:49 normalization > /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.coach_match_lineups_stg"} */
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >   create or replace view `segment-351212`._airbyte_ggpredict_airbyte.`coach_match_lineups_stg`
2022-06-07 16:04:49 normalization >   OPTIONS()
2022-06-07 16:04:49 normalization >   as 
2022-06-07 16:04:49 normalization > with __dbt__cte__coach_match_lineups_ab1 as (
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema
2022-06-07 16:04:49 normalization > -- depends_on: `segment-351212`.ggpredict_airbyte._airbyte_raw_coach_match_lineups
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['id']") as id,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['adr']") as adr,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['kast']") as kast,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['mvps']") as mvps,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['awper']") as awper,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['kills']") as kills,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['avatar']") as avatar,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['deaths']") as deaths,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['lurker']") as lurker,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['rating']") as rating,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['rifler']") as rifler,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['traded']") as traded,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['assists']") as assists,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['flashed']") as flashed,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['support']") as support,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['nickname']") as nickname,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['no_kills']") as no_kills,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['t_rating']") as t_rating,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['ct_rating']") as ct_rating,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['dmg_dealt']") as dmg_dealt,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['team_hurt']") as team_hurt,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['team_side']") as team_side,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['cash_spent']") as cash_spent,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['exit_kills']") as exit_kills,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['faceit_elo']") as faceit_elo,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['molo_throw']") as molo_throw,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['own_damage']") as own_damage,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['self_kills']") as self_kills,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['team_kills']") as team_kills,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['bomb_plants']") as bomb_plants,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['cash_earned']") as cash_earned,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['dmg_sources']") as dmg_sources,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['fake_plants']") as fake_plants,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['got_flashed']") as got_flashed,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['knife_kills']") as knife_kills,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['player_rank']") as player_rank,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['rifle_kills']") as rifle_kills,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['site_plants']") as site_plants,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['smoke_throw']") as smoke_throw,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['trade_kills']") as trade_kills,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['weapon_hits']") as weapon_hits,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['awp_accuracy']") as awp_accuracy,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['bomb_defuses']") as bomb_defuses,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['bomb_planted']") as bomb_planted,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['clutch_kills']") as clutch_kills,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['fake_defuses']") as fake_defuses,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['first_to_see']") as first_to_see,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['molo_quality']") as molo_quality,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['site_changes']") as site_changes,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['sniper_kills']") as sniper_kills,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['weapon_drops']") as weapon_drops,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['weapon_shots']") as weapon_shots,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['bombs_defused']") as bombs_defused,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['clutch_plants']") as clutch_plants,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['dies_unscoped']") as dies_unscoped,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['entry_fragger']") as entry_fragger,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['first_damages']") as first_damages,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['flash_assists']") as flash_assists,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['he_efficiency']") as he_efficiency,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['kills_flashed']") as kills_flashed,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['opening_kills']") as opening_kills,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['rifle_hs_rate']") as rifle_hs_rate,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['rounds_played']") as rounds_played,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['smoke_quality']") as smoke_quality,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['utilities_dmg']") as utilities_dmg,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['avg_death_time']") as avg_death_time,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['clutch_defuses']") as clutch_defuses,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['coach_match_id']") as coach_match_id,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['deaths_flashed']") as deaths_flashed,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['early_distance']") as early_distance,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['flashed_deaths']") as flashed_deaths,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['flashes_caused']") as flashes_caused,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['flashes_thrown']") as flashes_thrown,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['headshot_kills']") as headshot_kills,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['multiple_kills']") as multiple_kills,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['opening_deaths']") as opening_deaths,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['opponents_hurt']") as opponents_hurt,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['player_country']") as player_country,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['rifle_accuracy']") as rifle_accuracy,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['rifle_hs_kills']") as rifle_hs_kills,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['rifle_strafing']") as rifle_strafing,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['utilities_used']") as utilities_used,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_log_pos']") as _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['coach_player_id']") as coach_player_id,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['dies_knife_nade']") as dies_knife_nade,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['early_utilities']") as early_utilities,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['sniper_hs_kills']") as sniper_hs_kills,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['sniper_strafing']") as sniper_strafing,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_log_file']") as _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['deaths_no_seeing']") as deaths_no_seeing,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['faceit_player_id']") as faceit_player_id,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['first_round_side']") as first_round_side,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['flash_efficiency']") as flash_efficiency,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['kills_after_fake']") as kills_after_fake,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['kills_to_flashed']") as kills_to_flashed,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['smoke_efficiency']") as smoke_efficiency,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['avg_reaction_time']") as avg_reaction_time,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['awp_shots_to_kill']") as awp_shots_to_kill,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['opponents_flashed']") as opponents_flashed,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['team_players_hurt']") as team_players_hurt,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_deleted_at']") as _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_updated_at']") as _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['scoped_battles_won']") as scoped_battles_won,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['avg_equipment_value']") as avg_equipment_value,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['kills_to_not_seeing']") as kills_to_not_seeing,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['rifle_shots_to_kill']") as rifle_shots_to_kill,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['scoped_battles_lost']") as scoped_battles_lost,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['scoped_weapon_kills']") as scoped_weapon_kills,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['weapon_hits_spotted']") as weapon_hits_spotted,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['avg_distance_covered']") as avg_distance_covered,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['awp_accuracy_spotted']") as awp_accuracy_spotted,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['first_see_in_seconds']") as first_see_in_seconds,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['weapon_shots_spotted']") as weapon_shots_spotted,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['avg_distance_from_team']") as avg_distance_from_team,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['flashed_teammates_time']") as flashed_teammates_time,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['opponents_flashed_time']") as opponents_flashed_time,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['rifle_accuracy_spotted']") as rifle_accuracy_spotted,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['utility_value_at_death']") as utility_value_at_death,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['awp_crosshair_placement']") as awp_crosshair_placement,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['flashes_leading_to_kill']") as flashes_leading_to_kill,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['number_of_possessed_awp']") as number_of_possessed_awp,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['first_contact_in_seconds']") as first_contact_in_seconds,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['avg_distance_in_right_dir']") as avg_distance_in_right_dir,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['rifle_crosshair_placement']") as rifle_crosshair_placement,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['avg_distance_towards_enemy']") as avg_distance_towards_enemy,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['sniper_crosshair_placement']") as sniper_crosshair_placement,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['rifle_shots_spotted_to_shots']") as rifle_shots_spotted_to_shots,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['rifle_sprays_while_opponent_spotted']") as rifle_sprays_while_opponent_spotted,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['rifle_good_hits_while_opponent_spotted']") as rifle_good_hits_while_opponent_spotted,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['rifle_spray_hits_while_opponent_spotted']") as rifle_spray_hits_while_opponent_spotted,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['sniper_good_hits_while_opponent_spotted']") as sniper_good_hits_while_opponent_spotted,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['rifle_weapon_hits_while_opponent_spotted']") as rifle_weapon_hits_while_opponent_spotted,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['rifle_weapon_shots_while_opponent_spotted']") as rifle_weapon_shots_while_opponent_spotted,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['sniper_weapon_hits_while_opponent_spotted']") as sniper_weapon_hits_while_opponent_spotted,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['sniper_weapon_shots_while_opponent_spotted']") as sniper_weapon_shots_while_opponent_spotted,
2022-06-07 16:04:49 normalization >     _airbyte_ab_id,
2022-06-07 16:04:49 normalization >     _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at
2022-06-07 16:04:49 normalization > from `segment-351212`.ggpredict_airbyte._airbyte_raw_coach_match_lineups as table_alias
2022-06-07 16:04:49 normalization > -- coach_match_lineups
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > ),  __dbt__cte__coach_match_lineups_ab2 as (
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type
2022-06-07 16:04:49 normalization > -- depends_on: __dbt__cte__coach_match_lineups_ab1
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     cast(id as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as id,
2022-06-07 16:04:49 normalization >     cast(adr as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as adr,
2022-06-07 16:04:49 normalization >     cast(kast as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as kast,
2022-06-07 16:04:49 normalization >     cast(mvps as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as mvps,
2022-06-07 16:04:49 normalization >     cast(awper as boolean) as awper,
2022-06-07 16:04:49 normalization >     cast(kills as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as kills,
2022-06-07 16:04:49 normalization >     cast(avatar as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as avatar,
2022-06-07 16:04:49 normalization >     cast(deaths as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as deaths,
2022-06-07 16:04:49 normalization >     cast(lurker as boolean) as lurker,
2022-06-07 16:04:49 normalization >     cast(rating as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as rating,
2022-06-07 16:04:49 normalization >     cast(rifler as boolean) as rifler,
2022-06-07 16:04:49 normalization >     cast(traded as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as traded,
2022-06-07 16:04:49 normalization >     cast(assists as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as assists,
2022-06-07 16:04:49 normalization >     cast(flashed as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as flashed,
2022-06-07 16:04:49 normalization >     cast(support as boolean) as support,
2022-06-07 16:04:49 normalization >     cast(nickname as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as nickname,
2022-06-07 16:04:49 normalization >     cast(no_kills as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as no_kills,
2022-06-07 16:04:49 normalization >     cast(t_rating as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as t_rating,
2022-06-07 16:04:49 normalization >     cast(ct_rating as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as ct_rating,
2022-06-07 16:04:49 normalization >     cast(dmg_dealt as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as dmg_dealt,
2022-06-07 16:04:49 normalization >     cast(team_hurt as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as team_hurt,
2022-06-07 16:04:49 normalization >     cast(team_side as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as team_side,
2022-06-07 16:04:49 normalization >     cast(cash_spent as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as cash_spent,
2022-06-07 16:04:49 normalization >     cast(exit_kills as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as exit_kills,
2022-06-07 16:04:49 normalization >     cast(faceit_elo as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as faceit_elo,
2022-06-07 16:04:49 normalization >     cast(molo_throw as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as molo_throw,
2022-06-07 16:04:49 normalization >     cast(own_damage as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as own_damage,
2022-06-07 16:04:49 normalization >     cast(self_kills as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as self_kills,
2022-06-07 16:04:49 normalization >     cast(team_kills as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as team_kills,
2022-06-07 16:04:49 normalization >     cast(bomb_plants as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as bomb_plants,
2022-06-07 16:04:49 normalization >     cast(cash_earned as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as cash_earned,
2022-06-07 16:04:49 normalization >     cast(dmg_sources as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as dmg_sources,
2022-06-07 16:04:49 normalization >     cast(fake_plants as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as fake_plants,
2022-06-07 16:04:49 normalization >     cast(got_flashed as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as got_flashed,
2022-06-07 16:04:49 normalization >     cast(knife_kills as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as knife_kills,
2022-06-07 16:04:49 normalization >     cast(player_rank as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as player_rank,
2022-06-07 16:04:49 normalization >     cast(rifle_kills as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as rifle_kills,
2022-06-07 16:04:49 normalization >     cast(site_plants as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as site_plants,
2022-06-07 16:04:49 normalization >     cast(smoke_throw as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as smoke_throw,
2022-06-07 16:04:49 normalization >     cast(trade_kills as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as trade_kills,
2022-06-07 16:04:49 normalization >     cast(weapon_hits as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as weapon_hits,
2022-06-07 16:04:49 normalization >     cast(awp_accuracy as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as awp_accuracy,
2022-06-07 16:04:49 normalization >     cast(bomb_defuses as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as bomb_defuses,
2022-06-07 16:04:49 normalization >     cast(bomb_planted as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as bomb_planted,
2022-06-07 16:04:49 normalization >     cast(clutch_kills as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as clutch_kills,
2022-06-07 16:04:49 normalization >     cast(fake_defuses as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as fake_defuses,
2022-06-07 16:04:49 normalization >     cast(first_to_see as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as first_to_see,
2022-06-07 16:04:49 normalization >     cast(molo_quality as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as molo_quality,
2022-06-07 16:04:49 normalization >     cast(site_changes as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as site_changes,
2022-06-07 16:04:49 normalization >     cast(sniper_kills as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as sniper_kills,
2022-06-07 16:04:49 normalization >     cast(weapon_drops as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as weapon_drops,
2022-06-07 16:04:49 normalization >     cast(weapon_shots as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as weapon_shots,
2022-06-07 16:04:49 normalization >     cast(bombs_defused as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as bombs_defused,
2022-06-07 16:04:49 normalization >     cast(clutch_plants as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as clutch_plants,
2022-06-07 16:04:49 normalization >     cast(dies_unscoped as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as dies_unscoped,
2022-06-07 16:04:49 normalization >     cast(entry_fragger as boolean) as entry_fragger,
2022-06-07 16:04:49 normalization >     cast(first_damages as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as first_damages,
2022-06-07 16:04:49 normalization >     cast(flash_assists as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as flash_assists,
2022-06-07 16:04:49 normalization >     cast(he_efficiency as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as he_efficiency,
2022-06-07 16:04:49 normalization >     cast(kills_flashed as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as kills_flashed,
2022-06-07 16:04:49 normalization >     cast(opening_kills as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as opening_kills,
2022-06-07 16:04:49 normalization >     cast(rifle_hs_rate as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as rifle_hs_rate,
2022-06-07 16:04:49 normalization >     cast(rounds_played as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as rounds_played,
2022-06-07 16:04:49 normalization >     cast(smoke_quality as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as smoke_quality,
2022-06-07 16:04:49 normalization >     cast(utilities_dmg as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as utilities_dmg,
2022-06-07 16:04:49 normalization >     cast(avg_death_time as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as avg_death_time,
2022-06-07 16:04:49 normalization >     cast(clutch_defuses as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as clutch_defuses,
2022-06-07 16:04:49 normalization >     cast(coach_match_id as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as coach_match_id,
2022-06-07 16:04:49 normalization >     cast(deaths_flashed as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as deaths_flashed,
2022-06-07 16:04:49 normalization >     cast(early_distance as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as early_distance,
2022-06-07 16:04:49 normalization >     cast(flashed_deaths as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as flashed_deaths,
2022-06-07 16:04:49 normalization >     cast(flashes_caused as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as flashes_caused,
2022-06-07 16:04:49 normalization >     cast(flashes_thrown as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as flashes_thrown,
2022-06-07 16:04:49 normalization >     cast(headshot_kills as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as headshot_kills,
2022-06-07 16:04:49 normalization >     cast(multiple_kills as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as multiple_kills,
2022-06-07 16:04:49 normalization >     cast(opening_deaths as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as opening_deaths,
2022-06-07 16:04:49 normalization >     cast(opponents_hurt as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as opponents_hurt,
2022-06-07 16:04:49 normalization >     cast(player_country as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as player_country,
2022-06-07 16:04:49 normalization >     cast(rifle_accuracy as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as rifle_accuracy,
2022-06-07 16:04:49 normalization >     cast(rifle_hs_kills as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as rifle_hs_kills,
2022-06-07 16:04:49 normalization >     cast(rifle_strafing as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as rifle_strafing,
2022-06-07 16:04:49 normalization >     cast(utilities_used as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as utilities_used,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >     cast(coach_player_id as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as coach_player_id,
2022-06-07 16:04:49 normalization >     cast(dies_knife_nade as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as dies_knife_nade,
2022-06-07 16:04:49 normalization >     cast(early_utilities as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as early_utilities,
2022-06-07 16:04:49 normalization >     cast(sniper_hs_kills as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as sniper_hs_kills,
2022-06-07 16:04:49 normalization >     cast(sniper_strafing as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as sniper_strafing,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_log_file as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >     cast(deaths_no_seeing as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as deaths_no_seeing,
2022-06-07 16:04:49 normalization >     cast(faceit_player_id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as faceit_player_id,
2022-06-07 16:04:49 normalization >     cast(first_round_side as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as first_round_side,
2022-06-07 16:04:49 normalization >     cast(flash_efficiency as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as flash_efficiency,
2022-06-07 16:04:49 normalization >     cast(kills_after_fake as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as kills_after_fake,
2022-06-07 16:04:49 normalization >     cast(kills_to_flashed as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as kills_to_flashed,
2022-06-07 16:04:49 normalization >     cast(smoke_efficiency as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as smoke_efficiency,
2022-06-07 16:04:49 normalization >     cast(avg_reaction_time as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as avg_reaction_time,
2022-06-07 16:04:49 normalization >     cast(awp_shots_to_kill as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as awp_shots_to_kill,
2022-06-07 16:04:49 normalization >     cast(opponents_flashed as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as opponents_flashed,
2022-06-07 16:04:49 normalization >     cast(team_players_hurt as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as team_players_hurt,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >     cast(scoped_battles_won as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as scoped_battles_won,
2022-06-07 16:04:49 normalization >     cast(avg_equipment_value as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as avg_equipment_value,
2022-06-07 16:04:49 normalization >     cast(kills_to_not_seeing as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as kills_to_not_seeing,
2022-06-07 16:04:49 normalization >     cast(rifle_shots_to_kill as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as rifle_shots_to_kill,
2022-06-07 16:04:49 normalization >     cast(scoped_battles_lost as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as scoped_battles_lost,
2022-06-07 16:04:49 normalization >     cast(scoped_weapon_kills as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as scoped_weapon_kills,
2022-06-07 16:04:49 normalization >     cast(weapon_hits_spotted as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as weapon_hits_spotted,
2022-06-07 16:04:49 normalization >     cast(avg_distance_covered as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as avg_distance_covered,
2022-06-07 16:04:49 normalization >     cast(awp_accuracy_spotted as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as awp_accuracy_spotted,
2022-06-07 16:04:49 normalization >     cast(first_see_in_seconds as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as first_see_in_seconds,
2022-06-07 16:04:49 normalization >     cast(weapon_shots_spotted as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as weapon_shots_spotted,
2022-06-07 16:04:49 normalization >     cast(avg_distance_from_team as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as avg_distance_from_team,
2022-06-07 16:04:49 normalization >     cast(flashed_teammates_time as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as flashed_teammates_time,
2022-06-07 16:04:49 normalization >     cast(opponents_flashed_time as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as opponents_flashed_time,
2022-06-07 16:04:49 normalization >     cast(rifle_accuracy_spotted as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as rifle_accuracy_spotted,
2022-06-07 16:04:49 normalization >     cast(utility_value_at_death as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as utility_value_at_death,
2022-06-07 16:04:49 normalization >     cast(awp_crosshair_placement as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as awp_crosshair_placement,
2022-06-07 16:04:49 normalization >     cast(flashes_leading_to_kill as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as flashes_leading_to_kill,
2022-06-07 16:04:49 normalization >     cast(number_of_possessed_awp as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as number_of_possessed_awp,
2022-06-07 16:04:49 normalization >     cast(first_contact_in_seconds as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as first_contact_in_seconds,
2022-06-07 16:04:49 normalization >     cast(avg_distance_in_right_dir as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as avg_distance_in_right_dir,
2022-06-07 16:04:49 normalization >     cast(rifle_crosshair_placement as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as rifle_crosshair_placement,
2022-06-07 16:04:49 normalization >     cast(avg_distance_towards_enemy as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as avg_distance_towards_enemy,
2022-06-07 16:04:49 normalization >     cast(sniper_crosshair_placement as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as sniper_crosshair_placement,
2022-06-07 16:04:49 normalization >     cast(rifle_shots_spotted_to_shots as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as rifle_shots_spotted_to_shots,
2022-06-07 16:04:49 normalization >     cast(rifle_sprays_while_opponent_spotted as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as rifle_sprays_while_opponent_spotted,
2022-06-07 16:04:49 normalization >     cast(rifle_good_hits_while_opponent_spotted as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as rifle_good_hits_while_opponent_spotted,
2022-06-07 16:04:49 normalization >     cast(rifle_spray_hits_while_opponent_spotted as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as rifle_spray_hits_while_opponent_spotted,
2022-06-07 16:04:49 normalization >     cast(sniper_good_hits_while_opponent_spotted as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as sniper_good_hits_while_opponent_spotted,
2022-06-07 16:04:49 normalization >     cast(rifle_weapon_hits_while_opponent_spotted as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as rifle_weapon_hits_while_opponent_spotted,
2022-06-07 16:04:49 normalization >     cast(rifle_weapon_shots_while_opponent_spotted as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as rifle_weapon_shots_while_opponent_spotted,
2022-06-07 16:04:49 normalization >     cast(sniper_weapon_hits_while_opponent_spotted as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as sniper_weapon_hits_while_opponent_spotted,
2022-06-07 16:04:49 normalization >     cast(sniper_weapon_shots_while_opponent_spotted as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as sniper_weapon_shots_while_opponent_spotted,
2022-06-07 16:04:49 normalization >     _airbyte_ab_id,
2022-06-07 16:04:49 normalization >     _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at
2022-06-07 16:04:49 normalization > from __dbt__cte__coach_match_lineups_ab1
2022-06-07 16:04:49 normalization > -- coach_match_lineups
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > )-- SQL model to build a hash column based on the values of this record
2022-06-07 16:04:49 normalization > -- depends_on: __dbt__cte__coach_match_lineups_ab2
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     to_hex(md5(cast(concat(coalesce(cast(id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(adr as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(kast as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(mvps as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(awper as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(kills as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(avatar as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(deaths as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(lurker as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(rating as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(rifler as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(traded as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(assists as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(flashed as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(support as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(nickname as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(no_kills as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(t_rating as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(ct_rating as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(dmg_dealt as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(team_hurt as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(team_side as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(cash_spent as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(exit_kills as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(faceit_elo as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(molo_throw as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(own_damage as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(self_kills as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(team_kills as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(bomb_plants as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(cash_earned as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(dmg_sources as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(fake_plants as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(got_flashed as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(knife_kills as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(player_rank as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(rifle_kills as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(site_plants as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(smoke_throw as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(trade_kills as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(weapon_hits as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(awp_accuracy as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(bomb_defuses as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(bomb_planted as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(clutch_kills as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(fake_defuses as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(first_to_see as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(molo_quality as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(site_changes as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(sniper_kills as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(weapon_drops as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(weapon_shots as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(bombs_defused as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(clutch_plants as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(dies_unscoped as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(entry_fragger as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(first_damages as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(flash_assists as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(he_efficiency as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(kills_flashed as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(opening_kills as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(rifle_hs_rate as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(rounds_played as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(smoke_quality as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(utilities_dmg as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(avg_death_time as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(clutch_defuses as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(coach_match_id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(deaths_flashed as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(early_distance as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(flashed_deaths as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(flashes_caused as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(flashes_thrown as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(headshot_kills as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(multiple_kills as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(opening_deaths as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(opponents_hurt as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(player_country as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(rifle_accuracy as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(rifle_hs_kills as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(rifle_strafing as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(utilities_used as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(coach_player_id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(dies_knife_nade as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(early_utilities as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(sniper_hs_kills as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(sniper_strafing as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_log_file as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(deaths_no_seeing as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(faceit_player_id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(first_round_side as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(flash_efficiency as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(kills_after_fake as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(kills_to_flashed as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(smoke_efficiency as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(avg_reaction_time as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(awp_shots_to_kill as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(opponents_flashed as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(team_players_hurt as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(scoped_battles_won as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(avg_equipment_value as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(kills_to_not_seeing as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(rifle_shots_to_kill as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(scoped_battles_lost as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(scoped_weapon_kills as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(weapon_hits_spotted as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(avg_distance_covered as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(awp_accuracy_spotted as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(first_see_in_seconds as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(weapon_shots_spotted as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(avg_distance_from_team as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(flashed_teammates_time as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(opponents_flashed_time as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(rifle_accuracy_spotted as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(utility_value_at_death as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(awp_crosshair_placement as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(flashes_leading_to_kill as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(number_of_possessed_awp as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(first_contact_in_seconds as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(avg_distance_in_right_dir as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(rifle_crosshair_placement as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(avg_distance_towards_enemy as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(sniper_crosshair_placement as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(rifle_shots_spotted_to_shots as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(rifle_sprays_while_opponent_spotted as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(rifle_good_hits_while_opponent_spotted as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(rifle_spray_hits_while_opponent_spotted as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(sniper_good_hits_while_opponent_spotted as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(rifle_weapon_hits_while_opponent_spotted as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(rifle_weapon_shots_while_opponent_spotted as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(sniper_weapon_hits_while_opponent_spotted as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(sniper_weapon_shots_while_opponent_spotted as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), '')) as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ))) as _airbyte_coach_match_lineups_hashid,
2022-06-07 16:04:49 normalization >     tmp.*
2022-06-07 16:04:49 normalization > from __dbt__cte__coach_match_lineups_ab2 tmp
2022-06-07 16:04:49 normalization > -- coach_match_lineups
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > ;
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 16:04:28.472418 [debug] [Thread-7  ]: Opening a new connection, currently in state closed
2022-06-07 16:04:49 normalization > 16:04:28.476709 [debug] [Thread-1  ]: BigQuery adapter: 404 Not found: Table segment-351212:ggpredict_airbyte._airbyte_raw_coach_match_lineups was not found in location europe-central2
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > (job ID: 44f9538b-bda6-4c39-92ad-cea5e411e16c)
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >                                                                 -----Query Job SQL Follows-----                                                                
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >     |    .    |    .    |    .    |    .    |    .    |    .    |    .    |    .    |    .    |    .    |    .    |    .    |    .    |    .    |    .    |
2022-06-07 16:04:49 normalization >    1:/* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.coach_match_lineups_stg"} */
2022-06-07 16:04:49 normalization >    2:
2022-06-07 16:04:49 normalization >    3:
2022-06-07 16:04:49 normalization >    4:  create or replace view `segment-351212`._airbyte_ggpredict_airbyte.`coach_match_lineups_stg`
2022-06-07 16:04:49 normalization >    5:  OPTIONS()
2022-06-07 16:04:49 normalization >    6:  as 
2022-06-07 16:04:49 normalization >    7:with __dbt__cte__coach_match_lineups_ab1 as (
2022-06-07 16:04:49 normalization >    8:
2022-06-07 16:04:49 normalization >    9:-- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema
2022-06-07 16:04:49 normalization >   10:-- depends_on: `segment-351212`.ggpredict_airbyte._airbyte_raw_coach_match_lineups
2022-06-07 16:04:49 normalization >   11:select
2022-06-07 16:04:49 normalization >   12:    json_extract_scalar(_airbyte_data, "$['id']") as id,
2022-06-07 16:04:49 normalization >   13:    json_extract_scalar(_airbyte_data, "$['adr']") as adr,
2022-06-07 16:04:49 normalization >   14:    json_extract_scalar(_airbyte_data, "$['kast']") as kast,
2022-06-07 16:04:49 normalization >   15:    json_extract_scalar(_airbyte_data, "$['mvps']") as mvps,
2022-06-07 16:04:49 normalization >   16:    json_extract_scalar(_airbyte_data, "$['awper']") as awper,
2022-06-07 16:04:49 normalization >   17:    json_extract_scalar(_airbyte_data, "$['kills']") as kills,
2022-06-07 16:04:49 normalization >   18:    json_extract_scalar(_airbyte_data, "$['avatar']") as avatar,
2022-06-07 16:04:49 normalization >   19:    json_extract_scalar(_airbyte_data, "$['deaths']") as deaths,
2022-06-07 16:04:49 normalization >   20:    json_extract_scalar(_airbyte_data, "$['lurker']") as lurker,
2022-06-07 16:04:49 normalization >   21:    json_extract_scalar(_airbyte_data, "$['rating']") as rating,
2022-06-07 16:04:49 normalization >   22:    json_extract_scalar(_airbyte_data, "$['rifler']") as rifler,
2022-06-07 16:04:49 normalization >   23:    json_extract_scalar(_airbyte_data, "$['traded']") as traded,
2022-06-07 16:04:49 normalization >   24:    json_extract_scalar(_airbyte_data, "$['assists']") as assists,
2022-06-07 16:04:49 normalization >   25:    json_extract_scalar(_airbyte_data, "$['flashed']") as flashed,
2022-06-07 16:04:49 normalization >   26:    json_extract_scalar(_airbyte_data, "$['support']") as support,
2022-06-07 16:04:49 normalization >   27:    json_extract_scalar(_airbyte_data, "$['nickname']") as nickname,
2022-06-07 16:04:49 normalization >   28:    json_extract_scalar(_airbyte_data, "$['no_kills']") as no_kills,
2022-06-07 16:04:49 normalization >   29:    json_extract_scalar(_airbyte_data, "$['t_rating']") as t_rating,
2022-06-07 16:04:49 normalization >   30:    json_extract_scalar(_airbyte_data, "$['ct_rating']") as ct_rating,
2022-06-07 16:04:49 normalization >   31:    json_extract_scalar(_airbyte_data, "$['dmg_dealt']") as dmg_dealt,
2022-06-07 16:04:49 normalization >   32:    json_extract_scalar(_airbyte_data, "$['team_hurt']") as team_hurt,
2022-06-07 16:04:49 normalization >   33:    json_extract_scalar(_airbyte_data, "$['team_side']") as team_side,
2022-06-07 16:04:49 normalization >   34:    json_extract_scalar(_airbyte_data, "$['cash_spent']") as cash_spent,
2022-06-07 16:04:49 normalization >   35:    json_extract_scalar(_airbyte_data, "$['exit_kills']") as exit_kills,
2022-06-07 16:04:49 normalization >   36:    json_extract_scalar(_airbyte_data, "$['faceit_elo']") as faceit_elo,
2022-06-07 16:04:49 normalization >   37:    json_extract_scalar(_airbyte_data, "$['molo_throw']") as molo_throw,
2022-06-07 16:04:49 normalization >   38:    json_extract_scalar(_airbyte_data, "$['own_damage']") as own_damage,
2022-06-07 16:04:49 normalization >   39:    json_extract_scalar(_airbyte_data, "$['self_kills']") as self_kills,
2022-06-07 16:04:49 normalization >   40:    json_extract_scalar(_airbyte_data, "$['team_kills']") as team_kills,
2022-06-07 16:04:49 normalization >   41:    json_extract_scalar(_airbyte_data, "$['bomb_plants']") as bomb_plants,
2022-06-07 16:04:49 normalization >   42:    json_extract_scalar(_airbyte_data, "$['cash_earned']") as cash_earned,
2022-06-07 16:04:49 normalization >   43:    json_extract_scalar(_airbyte_data, "$['dmg_sources']") as dmg_sources,
2022-06-07 16:04:49 normalization >   44:    json_extract_scalar(_airbyte_data, "$['fake_plants']") as fake_plants,
2022-06-07 16:04:49 normalization >   45:    json_extract_scalar(_airbyte_data, "$['got_flashed']") as got_flashed,
2022-06-07 16:04:49 normalization >   46:    json_extract_scalar(_airbyte_data, "$['knife_kills']") as knife_kills,
2022-06-07 16:04:49 normalization >   47:    json_extract_scalar(_airbyte_data, "$['player_rank']") as player_rank,
2022-06-07 16:04:49 normalization >   48:    json_extract_scalar(_airbyte_data, "$['rifle_kills']") as rifle_kills,
2022-06-07 16:04:49 normalization >   49:    json_extract_scalar(_airbyte_data, "$['site_plants']") as site_plants,
2022-06-07 16:04:49 normalization >   50:    json_extract_scalar(_airbyte_data, "$['smoke_throw']") as smoke_throw,
2022-06-07 16:04:49 normalization >   51:    json_extract_scalar(_airbyte_data, "$['trade_kills']") as trade_kills,
2022-06-07 16:04:49 normalization >   52:    json_extract_scalar(_airbyte_data, "$['weapon_hits']") as weapon_hits,
2022-06-07 16:04:49 normalization >   53:    json_extract_scalar(_airbyte_data, "$['awp_accuracy']") as awp_accuracy,
2022-06-07 16:04:49 normalization >   54:    json_extract_scalar(_airbyte_data, "$['bomb_defuses']") as bomb_defuses,
2022-06-07 16:04:49 normalization >   55:    json_extract_scalar(_airbyte_data, "$['bomb_planted']") as bomb_planted,
2022-06-07 16:04:49 normalization >   56:    json_extract_scalar(_airbyte_data, "$['clutch_kills']") as clutch_kills,
2022-06-07 16:04:49 normalization >   57:    json_extract_scalar(_airbyte_data, "$['fake_defuses']") as fake_defuses,
2022-06-07 16:04:49 normalization >   58:    json_extract_scalar(_airbyte_data, "$['first_to_see']") as first_to_see,
2022-06-07 16:04:49 normalization >   59:    json_extract_scalar(_airbyte_data, "$['molo_quality']") as molo_quality,
2022-06-07 16:04:49 normalization >   60:    json_extract_scalar(_airbyte_data, "$['site_changes']") as site_changes,
2022-06-07 16:04:49 normalization >   61:    json_extract_scalar(_airbyte_data, "$['sniper_kills']") as sniper_kills,
2022-06-07 16:04:49 normalization >   62:    json_extract_scalar(_airbyte_data, "$['weapon_drops']") as weapon_drops,
2022-06-07 16:04:49 normalization >   63:    json_extract_scalar(_airbyte_data, "$['weapon_shots']") as weapon_shots,
2022-06-07 16:04:49 normalization >   64:    json_extract_scalar(_airbyte_data, "$['bombs_defused']") as bombs_defused,
2022-06-07 16:04:49 normalization >   65:    json_extract_scalar(_airbyte_data, "$['clutch_plants']") as clutch_plants,
2022-06-07 16:04:49 normalization >   66:    json_extract_scalar(_airbyte_data, "$['dies_unscoped']") as dies_unscoped,
2022-06-07 16:04:49 normalization >   67:    json_extract_scalar(_airbyte_data, "$['entry_fragger']") as entry_fragger,
2022-06-07 16:04:49 normalization >   68:    json_extract_scalar(_airbyte_data, "$['first_damages']") as first_damages,
2022-06-07 16:04:49 normalization >   69:    json_extract_scalar(_airbyte_data, "$['flash_assists']") as flash_assists,
2022-06-07 16:04:49 normalization >   70:    json_extract_scalar(_airbyte_data, "$['he_efficiency']") as he_efficiency,
2022-06-07 16:04:49 normalization >   71:    json_extract_scalar(_airbyte_data, "$['kills_flashed']") as kills_flashed,
2022-06-07 16:04:49 normalization >   72:    json_extract_scalar(_airbyte_data, "$['opening_kills']") as opening_kills,
2022-06-07 16:04:49 normalization >   73:    json_extract_scalar(_airbyte_data, "$['rifle_hs_rate']") as rifle_hs_rate,
2022-06-07 16:04:49 normalization >   74:    json_extract_scalar(_airbyte_data, "$['rounds_played']") as rounds_played,
2022-06-07 16:04:49 normalization >   75:    json_extract_scalar(_airbyte_data, "$['smoke_quality']") as smoke_quality,
2022-06-07 16:04:49 normalization >   76:    json_extract_scalar(_airbyte_data, "$['utilities_dmg']") as utilities_dmg,
2022-06-07 16:04:49 normalization >   77:    json_extract_scalar(_airbyte_data, "$['avg_death_time']") as avg_death_time,
2022-06-07 16:04:49 normalization >   78:    json_extract_scalar(_airbyte_data, "$['clutch_defuses']") as clutch_defuses,
2022-06-07 16:04:49 normalization >   79:    json_extract_scalar(_airbyte_data, "$['coach_match_id']") as coach_match_id,
2022-06-07 16:04:49 normalization >   80:    json_extract_scalar(_airbyte_data, "$['deaths_flashed']") as deaths_flashed,
2022-06-07 16:04:49 normalization >   81:    json_extract_scalar(_airbyte_data, "$['early_distance']") as early_distance,
2022-06-07 16:04:49 normalization >   82:    json_extract_scalar(_airbyte_data, "$['flashed_deaths']") as flashed_deaths,
2022-06-07 16:04:49 normalization >   83:    json_extract_scalar(_airbyte_data, "$['flashes_caused']") as flashes_caused,
2022-06-07 16:04:49 normalization >   84:    json_extract_scalar(_airbyte_data, "$['flashes_thrown']") as flashes_thrown,
2022-06-07 16:04:49 normalization >   85:    json_extract_scalar(_airbyte_data, "$['headshot_kills']") as headshot_kills,
2022-06-07 16:04:49 normalization >   86:    json_extract_scalar(_airbyte_data, "$['multiple_kills']") as multiple_kills,
2022-06-07 16:04:49 normalization >   87:    json_extract_scalar(_airbyte_data, "$['opening_deaths']") as opening_deaths,
2022-06-07 16:04:49 normalization >   88:    json_extract_scalar(_airbyte_data, "$['opponents_hurt']") as opponents_hurt,
2022-06-07 16:04:49 normalization >   89:    json_extract_scalar(_airbyte_data, "$['player_country']") as player_country,
2022-06-07 16:04:49 normalization >   90:    json_extract_scalar(_airbyte_data, "$['rifle_accuracy']") as rifle_accuracy,
2022-06-07 16:04:49 normalization >   91:    json_extract_scalar(_airbyte_data, "$['rifle_hs_kills']") as rifle_hs_kills,
2022-06-07 16:04:49 normalization >   92:    json_extract_scalar(_airbyte_data, "$['rifle_strafing']") as rifle_strafing,
2022-06-07 16:04:49 normalization >   93:    json_extract_scalar(_airbyte_data, "$['utilities_used']") as utilities_used,
2022-06-07 16:04:49 normalization >   94:    json_extract_scalar(_airbyte_data, "$['_ab_cdc_log_pos']") as _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >   95:    json_extract_scalar(_airbyte_data, "$['coach_player_id']") as coach_player_id,
2022-06-07 16:04:49 normalization >   96:    json_extract_scalar(_airbyte_data, "$['dies_knife_nade']") as dies_knife_nade,
2022-06-07 16:04:49 normalization >   97:    json_extract_scalar(_airbyte_data, "$['early_utilities']") as early_utilities,
2022-06-07 16:04:49 normalization >   98:    json_extract_scalar(_airbyte_data, "$['sniper_hs_kills']") as sniper_hs_kills,
2022-06-07 16:04:49 normalization >   99:    json_extract_scalar(_airbyte_data, "$['sniper_strafing']") as sniper_strafing,
2022-06-07 16:04:49 normalization >  100:    json_extract_scalar(_airbyte_data, "$['_ab_cdc_log_file']") as _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >  101:    json_extract_scalar(_airbyte_data, "$['deaths_no_seeing']") as deaths_no_seeing,
2022-06-07 16:04:49 normalization >  102:    json_extract_scalar(_airbyte_data, "$['faceit_player_id']") as faceit_player_id,
2022-06-07 16:04:49 normalization >  103:    json_extract_scalar(_airbyte_data, "$['first_round_side']") as first_round_side,
2022-06-07 16:04:49 normalization >  104:    json_extract_scalar(_airbyte_data, "$['flash_efficiency']") as flash_efficiency,
2022-06-07 16:04:49 normalization >  105:    json_extract_scalar(_airbyte_data, "$['kills_after_fake']") as kills_after_fake,
2022-06-07 16:04:49 normalization >  106:    json_extract_scalar(_airbyte_data, "$['kills_to_flashed']") as kills_to_flashed,
2022-06-07 16:04:49 normalization >  107:    json_extract_scalar(_airbyte_data, "$['smoke_efficiency']") as smoke_efficiency,
2022-06-07 16:04:49 normalization >  108:    json_extract_scalar(_airbyte_data, "$['avg_reaction_time']") as avg_reaction_time,
2022-06-07 16:04:49 normalization >  109:    json_extract_scalar(_airbyte_data, "$['awp_shots_to_kill']") as awp_shots_to_kill,
2022-06-07 16:04:49 normalization >  110:    json_extract_scalar(_airbyte_data, "$['opponents_flashed']") as opponents_flashed,
2022-06-07 16:04:49 normalization >  111:    json_extract_scalar(_airbyte_data, "$['team_players_hurt']") as team_players_hurt,
2022-06-07 16:04:49 normalization >  112:    json_extract_scalar(_airbyte_data, "$['_ab_cdc_deleted_at']") as _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >  113:    json_extract_scalar(_airbyte_data, "$['_ab_cdc_updated_at']") as _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >  114:    json_extract_scalar(_airbyte_data, "$['scoped_battles_won']") as scoped_battles_won,
2022-06-07 16:04:49 normalization >  115:    json_extract_scalar(_airbyte_data, "$['avg_equipment_value']") as avg_equipment_value,
2022-06-07 16:04:49 normalization >  116:    json_extract_scalar(_airbyte_data, "$['kills_to_not_seeing']") as kills_to_not_seeing,
2022-06-07 16:04:49 normalization >  117:    json_extract_scalar(_airbyte_data, "$['rifle_shots_to_kill']") as rifle_shots_to_kill,
2022-06-07 16:04:49 normalization >  118:    json_extract_scalar(_airbyte_data, "$['scoped_battles_lost']") as scoped_battles_lost,
2022-06-07 16:04:49 normalization >  119:    json_extract_scalar(_airbyte_data, "$['scoped_weapon_kills']") as scoped_weapon_kills,
2022-06-07 16:04:49 normalization >  120:    json_extract_scalar(_airbyte_data, "$['weapon_hits_spotted']") as weapon_hits_spotted,
2022-06-07 16:04:49 normalization >  121:    json_extract_scalar(_airbyte_data, "$['avg_distance_covered']") as avg_distance_covered,
2022-06-07 16:04:49 normalization >  122:    json_extract_scalar(_airbyte_data, "$['awp_accuracy_spotted']") as awp_accuracy_spotted,
2022-06-07 16:04:49 normalization >  123:    json_extract_scalar(_airbyte_data, "$['first_see_in_seconds']") as first_see_in_seconds,
2022-06-07 16:04:49 normalization >  124:    json_extract_scalar(_airbyte_data, "$['weapon_shots_spotted']") as weapon_shots_spotted,
2022-06-07 16:04:49 normalization >  125:    json_extract_scalar(_airbyte_data, "$['avg_distance_from_team']") as avg_distance_from_team,
2022-06-07 16:04:49 normalization >  126:    json_extract_scalar(_airbyte_data, "$['flashed_teammates_time']") as flashed_teammates_time,
2022-06-07 16:04:49 normalization >  127:    json_extract_scalar(_airbyte_data, "$['opponents_flashed_time']") as opponents_flashed_time,
2022-06-07 16:04:49 normalization >  128:    json_extract_scalar(_airbyte_data, "$['rifle_accuracy_spotted']") as rifle_accuracy_spotted,
2022-06-07 16:04:49 normalization >  129:    json_extract_scalar(_airbyte_data, "$['utility_value_at_death']") as utility_value_at_death,
2022-06-07 16:04:49 normalization >  130:    json_extract_scalar(_airbyte_data, "$['awp_crosshair_placement']") as awp_crosshair_placement,
2022-06-07 16:04:49 normalization >  131:    json_extract_scalar(_airbyte_data, "$['flashes_leading_to_kill']") as flashes_leading_to_kill,
2022-06-07 16:04:49 normalization >  132:    json_extract_scalar(_airbyte_data, "$['number_of_possessed_awp']") as number_of_possessed_awp,
2022-06-07 16:04:49 normalization >  133:    json_extract_scalar(_airbyte_data, "$['first_contact_in_seconds']") as first_contact_in_seconds,
2022-06-07 16:04:49 normalization >  134:    json_extract_scalar(_airbyte_data, "$['avg_distance_in_right_dir']") as avg_distance_in_right_dir,
2022-06-07 16:04:49 normalization >  135:    json_extract_scalar(_airbyte_data, "$['rifle_crosshair_placement']") as rifle_crosshair_placement,
2022-06-07 16:04:49 normalization >  136:    json_extract_scalar(_airbyte_data, "$['avg_distance_towards_enemy']") as avg_distance_towards_enemy,
2022-06-07 16:04:49 normalization >  137:    json_extract_scalar(_airbyte_data, "$['sniper_crosshair_placement']") as sniper_crosshair_placement,
2022-06-07 16:04:49 normalization >  138:    json_extract_scalar(_airbyte_data, "$['rifle_shots_spotted_to_shots']") as rifle_shots_spotted_to_shots,
2022-06-07 16:04:49 normalization >  139:    json_extract_scalar(_airbyte_data, "$['rifle_sprays_while_opponent_spotted']") as rifle_sprays_while_opponent_spotted,
2022-06-07 16:04:49 normalization >  140:    json_extract_scalar(_airbyte_data, "$['rifle_good_hits_while_opponent_spotted']") as rifle_good_hits_while_opponent_spotted,
2022-06-07 16:04:49 normalization >  141:    json_extract_scalar(_airbyte_data, "$['rifle_spray_hits_while_opponent_spotted']") as rifle_spray_hits_while_opponent_spotted,
2022-06-07 16:04:49 normalization >  142:    json_extract_scalar(_airbyte_data, "$['sniper_good_hits_while_opponent_spotted']") as sniper_good_hits_while_opponent_spotted,
2022-06-07 16:04:49 normalization >  143:    json_extract_scalar(_airbyte_data, "$['rifle_weapon_hits_while_opponent_spotted']") as rifle_weapon_hits_while_opponent_spotted,
2022-06-07 16:04:49 normalization >  144:    json_extract_scalar(_airbyte_data, "$['rifle_weapon_shots_while_opponent_spotted']") as rifle_weapon_shots_while_opponent_spotted,
2022-06-07 16:04:49 normalization >  145:    json_extract_scalar(_airbyte_data, "$['sniper_weapon_hits_while_opponent_spotted']") as sniper_weapon_hits_while_opponent_spotted,
2022-06-07 16:04:49 normalization >  146:    json_extract_scalar(_airbyte_data, "$['sniper_weapon_shots_while_opponent_spotted']") as sniper_weapon_shots_while_opponent_spotted,
2022-06-07 16:04:49 normalization >  147:    _airbyte_ab_id,
2022-06-07 16:04:49 normalization >  148:    _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >  149:    CURRENT_TIMESTAMP() as _airbyte_normalized_at
2022-06-07 16:04:49 normalization >  150:from `segment-351212`.ggpredict_airbyte._airbyte_raw_coach_match_lineups as table_alias
2022-06-07 16:04:49 normalization >  151:-- coach_match_lineups
2022-06-07 16:04:49 normalization >  152:where 1 = 1
2022-06-07 16:04:49 normalization >  153:
2022-06-07 16:04:49 normalization >  154:),  __dbt__cte__coach_match_lineups_ab2 as (
2022-06-07 16:04:49 normalization >  155:
2022-06-07 16:04:49 normalization >  156:-- SQL model to cast each column to its adequate SQL type converted from the JSON schema type
2022-06-07 16:04:49 normalization >  157:-- depends_on: __dbt__cte__coach_match_lineups_ab1
2022-06-07 16:04:49 normalization >  158:select
2022-06-07 16:04:49 normalization >  159:    cast(id as 
2022-06-07 16:04:49 normalization >  160:    float64
2022-06-07 16:04:49 normalization >  161:) as id,
2022-06-07 16:04:49 normalization >  162:    cast(adr as 
2022-06-07 16:04:49 normalization >  163:    float64
2022-06-07 16:04:49 normalization >  164:) as adr,
2022-06-07 16:04:49 normalization >  165:    cast(kast as 
2022-06-07 16:04:49 normalization >  166:    float64
2022-06-07 16:04:49 normalization >  167:) as kast,
2022-06-07 16:04:49 normalization >  168:    cast(mvps as 
2022-06-07 16:04:49 normalization >  169:    float64
2022-06-07 16:04:49 normalization >  170:) as mvps,
2022-06-07 16:04:49 normalization >  171:    cast(awper as boolean) as awper,
2022-06-07 16:04:49 normalization >  172:    cast(kills as 
2022-06-07 16:04:49 normalization >  173:    float64
2022-06-07 16:04:49 normalization >  174:) as kills,
2022-06-07 16:04:49 normalization >  175:    cast(avatar as 
2022-06-07 16:04:49 normalization >  176:    string
2022-06-07 16:04:49 normalization >  177:) as avatar,
2022-06-07 16:04:49 normalization >  178:    cast(deaths as 
2022-06-07 16:04:49 normalization >  179:    float64
2022-06-07 16:04:49 normalization >  180:) as deaths,
2022-06-07 16:04:49 normalization >  181:    cast(lurker as boolean) as lurker,
2022-06-07 16:04:49 normalization >  182:    cast(rating as 
2022-06-07 16:04:49 normalization >  183:    float64
2022-06-07 16:04:49 normalization >  184:) as rating,
2022-06-07 16:04:49 normalization >  185:    cast(rifler as boolean) as rifler,
2022-06-07 16:04:49 normalization >  186:    cast(traded as 
2022-06-07 16:04:49 normalization >  187:    float64
2022-06-07 16:04:49 normalization >  188:) as traded,
2022-06-07 16:04:49 normalization >  189:    cast(assists as 
2022-06-07 16:04:49 normalization >  190:    float64
2022-06-07 16:04:49 normalization >  191:) as assists,
2022-06-07 16:04:49 normalization >  192:    cast(flashed as 
2022-06-07 16:04:49 normalization >  193:    float64
2022-06-07 16:04:49 normalization >  194:) as flashed,
2022-06-07 16:04:49 normalization >  195:    cast(support as boolean) as support,
2022-06-07 16:04:49 normalization >  196:    cast(nickname as 
2022-06-07 16:04:49 normalization >  197:    string
2022-06-07 16:04:49 normalization >  198:) as nickname,
2022-06-07 16:04:49 normalization >  199:    cast(no_kills as 
2022-06-07 16:04:49 normalization >  200:    float64
2022-06-07 16:04:49 normalization >  201:) as no_kills,
2022-06-07 16:04:49 normalization >  202:    cast(t_rating as 
2022-06-07 16:04:49 normalization >  203:    float64
2022-06-07 16:04:49 normalization >  204:) as t_rating,
2022-06-07 16:04:49 normalization >  205:    cast(ct_rating as 
2022-06-07 16:04:49 normalization >  206:    float64
2022-06-07 16:04:49 normalization >  207:) as ct_rating,
2022-06-07 16:04:49 normalization >  208:    cast(dmg_dealt as 
2022-06-07 16:04:49 normalization >  209:    float64
2022-06-07 16:04:49 normalization >  210:) as dmg_dealt,
2022-06-07 16:04:49 normalization >  211:    cast(team_hurt as 
2022-06-07 16:04:49 normalization >  212:    float64
2022-06-07 16:04:49 normalization >  213:) as team_hurt,
2022-06-07 16:04:49 normalization >  214:    cast(team_side as 
2022-06-07 16:04:49 normalization >  215:    string
2022-06-07 16:04:49 normalization >  216:) as team_side,
2022-06-07 16:04:49 normalization >  217:    cast(cash_spent as 
2022-06-07 16:04:49 normalization >  218:    float64
2022-06-07 16:04:49 normalization >  219:) as cash_spent,
2022-06-07 16:04:49 normalization >  220:    cast(exit_kills as 
2022-06-07 16:04:49 normalization >  221:    float64
2022-06-07 16:04:49 normalization >  222:) as exit_kills,
2022-06-07 16:04:49 normalization >  223:    cast(faceit_elo as 
2022-06-07 16:04:49 normalization >  224:    float64
2022-06-07 16:04:49 normalization >  225:) as faceit_elo,
2022-06-07 16:04:49 normalization >  226:    cast(molo_throw as 
2022-06-07 16:04:49 normalization >  227:    float64
2022-06-07 16:04:49 normalization >  228:) as molo_throw,
2022-06-07 16:04:49 normalization >  229:    cast(own_damage as 
2022-06-07 16:04:49 normalization >  230:    float64
2022-06-07 16:04:49 normalization >  231:) as own_damage,
2022-06-07 16:04:49 normalization >  232:    cast(self_kills as 
2022-06-07 16:04:49 normalization >  233:    float64
2022-06-07 16:04:49 normalization >  234:) as self_kills,
2022-06-07 16:04:49 normalization >  235:    cast(team_kills as 
2022-06-07 16:04:49 normalization >  236:    float64
2022-06-07 16:04:49 normalization >  237:) as team_kills,
2022-06-07 16:04:49 normalization >  238:    cast(bomb_plants as 
2022-06-07 16:04:49 normalization >  239:    float64
2022-06-07 16:04:49 normalization >  240:) as bomb_plants,
2022-06-07 16:04:49 normalization >  241:    cast(cash_earned as 
2022-06-07 16:04:49 normalization >  242:    float64
2022-06-07 16:04:49 normalization >  243:) as cash_earned,
2022-06-07 16:04:49 normalization >  244:    cast(dmg_sources as 
2022-06-07 16:04:49 normalization >  245:    float64
2022-06-07 16:04:49 normalization >  246:) as dmg_sources,
2022-06-07 16:04:49 normalization >  247:    cast(fake_plants as 
2022-06-07 16:04:49 normalization >  248:    float64
2022-06-07 16:04:49 normalization >  249:) as fake_plants,
2022-06-07 16:04:49 normalization >  250:    cast(got_flashed as 
2022-06-07 16:04:49 normalization >  251:    float64
2022-06-07 16:04:49 normalization >  252:) as got_flashed,
2022-06-07 16:04:49 normalization >  253:    cast(knife_kills as 
2022-06-07 16:04:49 normalization >  254:    float64
2022-06-07 16:04:49 normalization >  255:) as knife_kills,
2022-06-07 16:04:49 normalization >  256:    cast(player_rank as 
2022-06-07 16:04:49 normalization >  257:    string
2022-06-07 16:04:49 normalization >  258:) as player_rank,
2022-06-07 16:04:49 normalization >  259:    cast(rifle_kills as 
2022-06-07 16:04:49 normalization >  260:    float64
2022-06-07 16:04:49 normalization >  261:) as rifle_kills,
2022-06-07 16:04:49 normalization >  262:    cast(site_plants as 
2022-06-07 16:04:49 normalization >  263:    float64
2022-06-07 16:04:49 normalization >  264:) as site_plants,
2022-06-07 16:04:49 normalization >  265:    cast(smoke_throw as 
2022-06-07 16:04:49 normalization >  266:    float64
2022-06-07 16:04:49 normalization >  267:) as smoke_throw,
2022-06-07 16:04:49 normalization >  268:    cast(trade_kills as 
2022-06-07 16:04:49 normalization >  269:    float64
2022-06-07 16:04:49 normalization >  270:) as trade_kills,
2022-06-07 16:04:49 normalization >  271:    cast(weapon_hits as 
2022-06-07 16:04:49 normalization >  272:    float64
2022-06-07 16:04:49 normalization >  273:) as weapon_hits,
2022-06-07 16:04:49 normalization >  274:    cast(awp_accuracy as 
2022-06-07 16:04:49 normalization >  275:    float64
2022-06-07 16:04:49 normalization >  276:) as awp_accuracy,
2022-06-07 16:04:49 normalization >  277:    cast(bomb_defuses as 
2022-06-07 16:04:49 normalization >  278:    float64
2022-06-07 16:04:49 normalization >  279:) as bomb_defuses,
2022-06-07 16:04:49 normalization >  280:    cast(bomb_planted as 
2022-06-07 16:04:49 normalization >  281:    float64
2022-06-07 16:04:49 normalization >  282:) as bomb_planted,
2022-06-07 16:04:49 normalization >  283:    cast(clutch_kills as 
2022-06-07 16:04:49 normalization >  284:    float64
2022-06-07 16:04:49 normalization >  285:) as clutch_kills,
2022-06-07 16:04:49 normalization >  286:    cast(fake_defuses as 
2022-06-07 16:04:49 normalization >  287:    float64
2022-06-07 16:04:49 normalization >  288:) as fake_defuses,
2022-06-07 16:04:49 normalization >  289:    cast(first_to_see as 
2022-06-07 16:04:49 normalization >  290:    float64
2022-06-07 16:04:49 normalization >  291:) as first_to_see,
2022-06-07 16:04:49 normalization >  292:    cast(molo_quality as 
2022-06-07 16:04:49 normalization >  293:    float64
2022-06-07 16:04:49 normalization >  294:) as molo_quality,
2022-06-07 16:04:49 normalization >  295:    cast(site_changes as 
2022-06-07 16:04:49 normalization >  296:    float64
2022-06-07 16:04:49 normalization >  297:) as site_changes,
2022-06-07 16:04:49 normalization >  298:    cast(sniper_kills as 
2022-06-07 16:04:49 normalization >  299:    float64
2022-06-07 16:04:49 normalization >  300:) as sniper_kills,
2022-06-07 16:04:49 normalization >  301:    cast(weapon_drops as 
2022-06-07 16:04:49 normalization >  302:    float64
2022-06-07 16:04:49 normalization >  303:) as weapon_drops,
2022-06-07 16:04:49 normalization >  304:    cast(weapon_shots as 
2022-06-07 16:04:49 normalization >  305:    float64
2022-06-07 16:04:49 normalization >  306:) as weapon_shots,
2022-06-07 16:04:49 normalization >  307:    cast(bombs_defused as 
2022-06-07 16:04:49 normalization >  308:    float64
2022-06-07 16:04:49 normalization >  309:) as bombs_defused,
2022-06-07 16:04:49 normalization >  310:    cast(clutch_plants as 
2022-06-07 16:04:49 normalization >  311:    float64
2022-06-07 16:04:49 normalization >  312:) as clutch_plants,
2022-06-07 16:04:49 normalization >  313:    cast(dies_unscoped as 
2022-06-07 16:04:49 normalization >  314:    float64
2022-06-07 16:04:49 normalization >  315:) as dies_unscoped,
2022-06-07 16:04:49 normalization >  316:    cast(entry_fragger as boolean) as entry_fragger,
2022-06-07 16:04:49 normalization >  317:    cast(first_damages as 
2022-06-07 16:04:49 normalization >  318:    float64
2022-06-07 16:04:49 normalization >  319:) as first_damages,
2022-06-07 16:04:49 normalization >  320:    cast(flash_assists as 
2022-06-07 16:04:49 normalization >  321:    float64
2022-06-07 16:04:49 normalization >  322:) as flash_assists,
2022-06-07 16:04:49 normalization >  323:    cast(he_efficiency as 
2022-06-07 16:04:49 normalization >  324:    float64
2022-06-07 16:04:49 normalization >  325:) as he_efficiency,
2022-06-07 16:04:49 normalization >  326:    cast(kills_flashed as 
2022-06-07 16:04:49 normalization >  327:    float64
2022-06-07 16:04:49 normalization >  328:) as kills_flashed,
2022-06-07 16:04:49 normalization >  329:    cast(opening_kills as 
2022-06-07 16:04:49 normalization >  330:    float64
2022-06-07 16:04:49 normalization >  331:) as opening_kills,
2022-06-07 16:04:49 normalization >  332:    cast(rifle_hs_rate as 
2022-06-07 16:04:49 normalization >  333:    float64
2022-06-07 16:04:49 normalization >  334:) as rifle_hs_rate,
2022-06-07 16:04:49 normalization >  335:    cast(rounds_played as 
2022-06-07 16:04:49 normalization >  336:    float64
2022-06-07 16:04:49 normalization >  337:) as rounds_played,
2022-06-07 16:04:49 normalization >  338:    cast(smoke_quality as 
2022-06-07 16:04:49 normalization >  339:    float64
2022-06-07 16:04:49 normalization >  340:) as smoke_quality,
2022-06-07 16:04:49 normalization >  341:    cast(utilities_dmg as 
2022-06-07 16:04:49 normalization >  342:    float64
2022-06-07 16:04:49 normalization >  343:) as utilities_dmg,
2022-06-07 16:04:49 normalization >  344:    cast(avg_death_time as 
2022-06-07 16:04:49 normalization >  345:    float64
2022-06-07 16:04:49 normalization >  346:) as avg_death_time,
2022-06-07 16:04:49 normalization >  347:    cast(clutch_defuses as 
2022-06-07 16:04:49 normalization >  348:    float64
2022-06-07 16:04:49 normalization >  349:) as clutch_defuses,
2022-06-07 16:04:49 normalization >  350:    cast(coach_match_id as 
2022-06-07 16:04:49 normalization >  351:    float64
2022-06-07 16:04:49 normalization >  352:) as coach_match_id,
2022-06-07 16:04:49 normalization >  353:    cast(deaths_flashed as 
2022-06-07 16:04:49 normalization >  354:    float64
2022-06-07 16:04:49 normalization >  355:) as deaths_flashed,
2022-06-07 16:04:49 normalization >  356:    cast(early_distance as 
2022-06-07 16:04:49 normalization >  357:    float64
2022-06-07 16:04:49 normalization >  358:) as early_distance,
2022-06-07 16:04:49 normalization >  359:    cast(flashed_deaths as 
2022-06-07 16:04:49 normalization >  360:    float64
2022-06-07 16:04:49 normalization >  361:) as flashed_deaths,
2022-06-07 16:04:49 normalization >  362:    cast(flashes_caused as 
2022-06-07 16:04:49 normalization >  363:    float64
2022-06-07 16:04:49 normalization >  364:) as flashes_caused,
2022-06-07 16:04:49 normalization >  365:    cast(flashes_thrown as 
2022-06-07 16:04:49 normalization >  366:    float64
2022-06-07 16:04:49 normalization >  367:) as flashes_thrown,
2022-06-07 16:04:49 normalization >  368:    cast(headshot_kills as 
2022-06-07 16:04:49 normalization >  369:    float64
2022-06-07 16:04:49 normalization >  370:) as headshot_kills,
2022-06-07 16:04:49 normalization >  371:    cast(multiple_kills as 
2022-06-07 16:04:49 normalization >  372:    float64
2022-06-07 16:04:49 normalization >  373:) as multiple_kills,
2022-06-07 16:04:49 normalization >  374:    cast(opening_deaths as 
2022-06-07 16:04:49 normalization >  375:    float64
2022-06-07 16:04:49 normalization >  376:) as opening_deaths,
2022-06-07 16:04:49 normalization >  377:    cast(opponents_hurt as 
2022-06-07 16:04:49 normalization >  378:    float64
2022-06-07 16:04:49 normalization >  379:) as opponents_hurt,
2022-06-07 16:04:49 normalization >  380:    cast(player_country as 
2022-06-07 16:04:49 normalization >  381:    string
2022-06-07 16:04:49 normalization >  382:) as player_country,
2022-06-07 16:04:49 normalization >  383:    cast(rifle_accuracy as 
2022-06-07 16:04:49 normalization >  384:    float64
2022-06-07 16:04:49 normalization >  385:) as rifle_accuracy,
2022-06-07 16:04:49 normalization >  386:    cast(rifle_hs_kills as 
2022-06-07 16:04:49 normalization >  387:    float64
2022-06-07 16:04:49 normalization >  388:) as rifle_hs_kills,
2022-06-07 16:04:49 normalization >  389:    cast(rifle_strafing as 
2022-06-07 16:04:49 normalization >  390:    float64
2022-06-07 16:04:49 normalization >  391:) as rifle_strafing,
2022-06-07 16:04:49 normalization >  392:    cast(utilities_used as 
2022-06-07 16:04:49 normalization >  393:    float64
2022-06-07 16:04:49 normalization >  394:) as utilities_used,
2022-06-07 16:04:49 normalization >  395:    cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >  396:    float64
2022-06-07 16:04:49 normalization >  397:) as _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >  398:    cast(coach_player_id as 
2022-06-07 16:04:49 normalization >  399:    float64
2022-06-07 16:04:49 normalization >  400:) as coach_player_id,
2022-06-07 16:04:49 normalization >  401:    cast(dies_knife_nade as 
2022-06-07 16:04:49 normalization >  402:    float64
2022-06-07 16:04:49 normalization >  403:) as dies_knife_nade,
2022-06-07 16:04:49 normalization >  404:    cast(early_utilities as 
2022-06-07 16:04:49 normalization >  405:    float64
2022-06-07 16:04:49 normalization >  406:) as early_utilities,
2022-06-07 16:04:49 normalization >  407:    cast(sniper_hs_kills as 
2022-06-07 16:04:49 normalization >  408:    float64
2022-06-07 16:04:49 normalization >  409:) as sniper_hs_kills,
2022-06-07 16:04:49 normalization >  410:    cast(sniper_strafing as 
2022-06-07 16:04:49 normalization >  411:    float64
2022-06-07 16:04:49 normalization >  412:) as sniper_strafing,
2022-06-07 16:04:49 normalization >  413:    cast(_ab_cdc_log_file as 
2022-06-07 16:04:49 normalization >  414:    string
2022-06-07 16:04:49 normalization >  415:) as _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >  416:    cast(deaths_no_seeing as 
2022-06-07 16:04:49 normalization >  417:    float64
2022-06-07 16:04:49 normalization >  418:) as deaths_no_seeing,
2022-06-07 16:04:49 normalization >  419:    cast(faceit_player_id as 
2022-06-07 16:04:49 normalization >  420:    string
2022-06-07 16:04:49 normalization >  421:) as faceit_player_id,
2022-06-07 16:04:49 normalization >  422:    cast(first_round_side as 
2022-06-07 16:04:49 normalization >  423:    string
2022-06-07 16:04:49 normalization >  424:) as first_round_side,
2022-06-07 16:04:49 normalization >  425:    cast(flash_efficiency as 
2022-06-07 16:04:49 normalization >  426:    float64
2022-06-07 16:04:49 normalization >  427:) as flash_efficiency,
2022-06-07 16:04:49 normalization >  428:    cast(kills_after_fake as 
2022-06-07 16:04:49 normalization >  429:    float64
2022-06-07 16:04:49 normalization >  430:) as kills_after_fake,
2022-06-07 16:04:49 normalization >  431:    cast(kills_to_flashed as 
2022-06-07 16:04:49 normalization >  432:    float64
2022-06-07 16:04:49 normalization >  433:) as kills_to_flashed,
2022-06-07 16:04:49 normalization >  434:    cast(smoke_efficiency as 
2022-06-07 16:04:49 normalization >  435:    float64
2022-06-07 16:04:49 normalization >  436:) as smoke_efficiency,
2022-06-07 16:04:49 normalization >  437:    cast(avg_reaction_time as 
2022-06-07 16:04:49 normalization >  438:    float64
2022-06-07 16:04:49 normalization >  439:) as avg_reaction_time,
2022-06-07 16:04:49 normalization >  440:    cast(awp_shots_to_kill as 
2022-06-07 16:04:49 normalization >  441:    float64
2022-06-07 16:04:49 normalization >  442:) as awp_shots_to_kill,
2022-06-07 16:04:49 normalization >  443:    cast(opponents_flashed as 
2022-06-07 16:04:49 normalization >  444:    float64
2022-06-07 16:04:49 normalization >  445:) as opponents_flashed,
2022-06-07 16:04:49 normalization >  446:    cast(team_players_hurt as 
2022-06-07 16:04:49 normalization >  447:    float64
2022-06-07 16:04:49 normalization >  448:) as team_players_hurt,
2022-06-07 16:04:49 normalization >  449:    cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >  450:    string
2022-06-07 16:04:49 normalization >  451:) as _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >  452:    cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >  453:    string
2022-06-07 16:04:49 normalization >  454:) as _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >  455:    cast(scoped_battles_won as 
2022-06-07 16:04:49 normalization >  456:    float64
2022-06-07 16:04:49 normalization >  457:) as scoped_battles_won,
2022-06-07 16:04:49 normalization >  458:    cast(avg_equipment_value as 
2022-06-07 16:04:49 normalization >  459:    float64
2022-06-07 16:04:49 normalization >  460:) as avg_equipment_value,
2022-06-07 16:04:49 normalization >  461:    cast(kills_to_not_seeing as 
2022-06-07 16:04:49 normalization >  462:    float64
2022-06-07 16:04:49 normalization >  463:) as kills_to_not_seeing,
2022-06-07 16:04:49 normalization >  464:    cast(rifle_shots_to_kill as 
2022-06-07 16:04:49 normalization >  465:    float64
2022-06-07 16:04:49 normalization >  466:) as rifle_shots_to_kill,
2022-06-07 16:04:49 normalization >  467:    cast(scoped_battles_lost as 
2022-06-07 16:04:49 normalization >  468:    float64
2022-06-07 16:04:49 normalization >  469:) as scoped_battles_lost,
2022-06-07 16:04:49 normalization >  470:    cast(scoped_weapon_kills as 
2022-06-07 16:04:49 normalization >  471:    float64
2022-06-07 16:04:49 normalization >  472:) as scoped_weapon_kills,
2022-06-07 16:04:49 normalization >  473:    cast(weapon_hits_spotted as 
2022-06-07 16:04:49 normalization >  474:    float64
2022-06-07 16:04:49 normalization >  475:) as weapon_hits_spotted,
2022-06-07 16:04:49 normalization >  476:    cast(avg_distance_covered as 
2022-06-07 16:04:49 normalization >  477:    float64
2022-06-07 16:04:49 normalization >  478:) as avg_distance_covered,
2022-06-07 16:04:49 normalization >  479:    cast(awp_accuracy_spotted as 
2022-06-07 16:04:49 normalization >  480:    float64
2022-06-07 16:04:49 normalization >  481:) as awp_accuracy_spotted,
2022-06-07 16:04:49 normalization >  482:    cast(first_see_in_seconds as 
2022-06-07 16:04:49 normalization >  483:    float64
2022-06-07 16:04:49 normalization >  484:) as first_see_in_seconds,
2022-06-07 16:04:49 normalization >  485:    cast(weapon_shots_spotted as 
2022-06-07 16:04:49 normalization >  486:    float64
2022-06-07 16:04:49 normalization >  487:) as weapon_shots_spotted,
2022-06-07 16:04:49 normalization >  488:    cast(avg_distance_from_team as 
2022-06-07 16:04:49 normalization >  489:    float64
2022-06-07 16:04:49 normalization >  490:) as avg_distance_from_team,
2022-06-07 16:04:49 normalization >  491:    cast(flashed_teammates_time as 
2022-06-07 16:04:49 normalization >  492:    float64
2022-06-07 16:04:49 normalization >  493:) as flashed_teammates_time,
2022-06-07 16:04:49 normalization >  494:    cast(opponents_flashed_time as 
2022-06-07 16:04:49 normalization >  495:    float64
2022-06-07 16:04:49 normalization >  496:) as opponents_flashed_time,
2022-06-07 16:04:49 normalization >  497:    cast(rifle_accuracy_spotted as 
2022-06-07 16:04:49 normalization >  498:    float64
2022-06-07 16:04:49 normalization >  499:) as rifle_accuracy_spotted,
2022-06-07 16:04:49 normalization >  500:    cast(utility_value_at_death as 
2022-06-07 16:04:49 normalization >  501:    float64
2022-06-07 16:04:49 normalization >  502:) as utility_value_at_death,
2022-06-07 16:04:49 normalization >  503:    cast(awp_crosshair_placement as 
2022-06-07 16:04:49 normalization >  504:    float64
2022-06-07 16:04:49 normalization >  505:) as awp_crosshair_placement,
2022-06-07 16:04:49 normalization >  506:    cast(flashes_leading_to_kill as 
2022-06-07 16:04:49 normalization >  507:    float64
2022-06-07 16:04:49 normalization >  508:) as flashes_leading_to_kill,
2022-06-07 16:04:49 normalization >  509:    cast(number_of_possessed_awp as 
2022-06-07 16:04:49 normalization >  510:    float64
2022-06-07 16:04:49 normalization >  511:) as number_of_possessed_awp,
2022-06-07 16:04:49 normalization >  512:    cast(first_contact_in_seconds as 
2022-06-07 16:04:49 normalization >  513:    float64
2022-06-07 16:04:49 normalization >  514:) as first_contact_in_seconds,
2022-06-07 16:04:49 normalization >  515:    cast(avg_distance_in_right_dir as 
2022-06-07 16:04:49 normalization >  516:    float64
2022-06-07 16:04:49 normalization >  517:) as avg_distance_in_right_dir,
2022-06-07 16:04:49 normalization >  518:    cast(rifle_crosshair_placement as 
2022-06-07 16:04:49 normalization >  519:    float64
2022-06-07 16:04:49 normalization >  520:) as rifle_crosshair_placement,
2022-06-07 16:04:49 normalization >  521:    cast(avg_distance_towards_enemy as 
2022-06-07 16:04:49 normalization >  522:    float64
2022-06-07 16:04:49 normalization >  523:) as avg_distance_towards_enemy,
2022-06-07 16:04:49 normalization >  524:    cast(sniper_crosshair_placement as 
2022-06-07 16:04:49 normalization >  525:    float64
2022-06-07 16:04:49 normalization >  526:) as sniper_crosshair_placement,
2022-06-07 16:04:49 normalization >  527:    cast(rifle_shots_spotted_to_shots as 
2022-06-07 16:04:49 normalization >  528:    float64
2022-06-07 16:04:49 normalization >  529:) as rifle_shots_spotted_to_shots,
2022-06-07 16:04:49 normalization >  530:    cast(rifle_sprays_while_opponent_spotted as 
2022-06-07 16:04:49 normalization >  531:    float64
2022-06-07 16:04:49 normalization >  532:) as rifle_sprays_while_opponent_spotted,
2022-06-07 16:04:49 normalization >  533:    cast(rifle_good_hits_while_opponent_spotted as 
2022-06-07 16:04:49 normalization >  534:    float64
2022-06-07 16:04:49 normalization >  535:) as rifle_good_hits_while_opponent_spotted,
2022-06-07 16:04:49 normalization >  536:    cast(rifle_spray_hits_while_opponent_spotted as 
2022-06-07 16:04:49 normalization >  537:    float64
2022-06-07 16:04:49 normalization >  538:) as rifle_spray_hits_while_opponent_spotted,
2022-06-07 16:04:49 normalization >  539:    cast(sniper_good_hits_while_opponent_spotted as 
2022-06-07 16:04:49 normalization >  540:    float64
2022-06-07 16:04:49 normalization >  541:) as sniper_good_hits_while_opponent_spotted,
2022-06-07 16:04:49 normalization >  542:    cast(rifle_weapon_hits_while_opponent_spotted as 
2022-06-07 16:04:49 normalization >  543:    float64
2022-06-07 16:04:49 normalization >  544:) as rifle_weapon_hits_while_opponent_spotted,
2022-06-07 16:04:49 normalization >  545:    cast(rifle_weapon_shots_while_opponent_spotted as 
2022-06-07 16:04:49 normalization >  546:    float64
2022-06-07 16:04:49 normalization >  547:) as rifle_weapon_shots_while_opponent_spotted,
2022-06-07 16:04:49 normalization >  548:    cast(sniper_weapon_hits_while_opponent_spotted as 
2022-06-07 16:04:49 normalization >  549:    float64
2022-06-07 16:04:49 normalization >  550:) as sniper_weapon_hits_while_opponent_spotted,
2022-06-07 16:04:49 normalization >  551:    cast(sniper_weapon_shots_while_opponent_spotted as 
2022-06-07 16:04:49 normalization >  552:    float64
2022-06-07 16:04:49 normalization >  553:) as sniper_weapon_shots_while_opponent_spotted,
2022-06-07 16:04:49 normalization >  554:    _airbyte_ab_id,
2022-06-07 16:04:49 normalization >  555:    _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >  556:    CURRENT_TIMESTAMP() as _airbyte_normalized_at
2022-06-07 16:04:49 normalization >  557:from __dbt__cte__coach_match_lineups_ab1
2022-06-07 16:04:49 normalization >  558:-- coach_match_lineups
2022-06-07 16:04:49 normalization >  559:where 1 = 1
2022-06-07 16:04:49 normalization >  560:
2022-06-07 16:04:49 normalization >  561:)-- SQL model to build a hash column based on the values of this record
2022-06-07 16:04:49 normalization >  562:-- depends_on: __dbt__cte__coach_match_lineups_ab2
2022-06-07 16:04:49 normalization >  563:select
2022-06-07 16:04:49 normalization >  564:    to_hex(md5(cast(concat(coalesce(cast(id as 
2022-06-07 16:04:49 normalization >  565:    string
2022-06-07 16:04:49 normalization >  566:), ''), '-', coalesce(cast(adr as 
2022-06-07 16:04:49 normalization >  567:    string
2022-06-07 16:04:49 normalization >  568:), ''), '-', coalesce(cast(kast as 
2022-06-07 16:04:49 normalization >  569:    string
2022-06-07 16:04:49 normalization >  570:), ''), '-', coalesce(cast(mvps as 
2022-06-07 16:04:49 normalization >  571:    string
2022-06-07 16:04:49 normalization >  572:), ''), '-', coalesce(cast(awper as 
2022-06-07 16:04:49 normalization >  573:    string
2022-06-07 16:04:49 normalization >  574:), ''), '-', coalesce(cast(kills as 
2022-06-07 16:04:49 normalization >  575:    string
2022-06-07 16:04:49 normalization >  576:), ''), '-', coalesce(cast(avatar as 
2022-06-07 16:04:49 normalization >  577:    string
2022-06-07 16:04:49 normalization >  578:), ''), '-', coalesce(cast(deaths as 
2022-06-07 16:04:49 normalization >  579:    string
2022-06-07 16:04:49 normalization >  580:), ''), '-', coalesce(cast(lurker as 
2022-06-07 16:04:49 normalization >  581:    string
2022-06-07 16:04:49 normalization >  582:), ''), '-', coalesce(cast(rating as 
2022-06-07 16:04:49 normalization >  583:    string
2022-06-07 16:04:49 normalization >  584:), ''), '-', coalesce(cast(rifler as 
2022-06-07 16:04:49 normalization >  585:    string
2022-06-07 16:04:49 normalization >  586:), ''), '-', coalesce(cast(traded as 
2022-06-07 16:04:49 normalization >  587:    string
2022-06-07 16:04:49 normalization >  588:), ''), '-', coalesce(cast(assists as 
2022-06-07 16:04:49 normalization >  589:    string
2022-06-07 16:04:49 normalization >  590:), ''), '-', coalesce(cast(flashed as 
2022-06-07 16:04:49 normalization >  591:    string
2022-06-07 16:04:49 normalization >  592:), ''), '-', coalesce(cast(support as 
2022-06-07 16:04:49 normalization >  593:    string
2022-06-07 16:04:49 normalization >  594:), ''), '-', coalesce(cast(nickname as 
2022-06-07 16:04:49 normalization >  595:    string
2022-06-07 16:04:49 normalization >  596:), ''), '-', coalesce(cast(no_kills as 
2022-06-07 16:04:49 normalization >  597:    string
2022-06-07 16:04:49 normalization >  598:), ''), '-', coalesce(cast(t_rating as 
2022-06-07 16:04:49 normalization >  599:    string
2022-06-07 16:04:49 normalization >  600:), ''), '-', coalesce(cast(ct_rating as 
2022-06-07 16:04:49 normalization >  601:    string
2022-06-07 16:04:49 normalization >  602:), ''), '-', coalesce(cast(dmg_dealt as 
2022-06-07 16:04:49 normalization >  603:    string
2022-06-07 16:04:49 normalization >  604:), ''), '-', coalesce(cast(team_hurt as 
2022-06-07 16:04:49 normalization >  605:    string
2022-06-07 16:04:49 normalization >  606:), ''), '-', coalesce(cast(team_side as 
2022-06-07 16:04:49 normalization >  607:    string
2022-06-07 16:04:49 normalization >  608:), ''), '-', coalesce(cast(cash_spent as 
2022-06-07 16:04:49 normalization >  609:    string
2022-06-07 16:04:49 normalization >  610:), ''), '-', coalesce(cast(exit_kills as 
2022-06-07 16:04:49 normalization >  611:    string
2022-06-07 16:04:49 normalization >  612:), ''), '-', coalesce(cast(faceit_elo as 
2022-06-07 16:04:49 normalization >  613:    string
2022-06-07 16:04:49 normalization >  614:), ''), '-', coalesce(cast(molo_throw as 
2022-06-07 16:04:49 normalization >  615:    string
2022-06-07 16:04:49 normalization >  616:), ''), '-', coalesce(cast(own_damage as 
2022-06-07 16:04:49 normalization >  617:    string
2022-06-07 16:04:49 normalization >  618:), ''), '-', coalesce(cast(self_kills as 
2022-06-07 16:04:49 normalization >  619:    string
2022-06-07 16:04:49 normalization >  620:), ''), '-', coalesce(cast(team_kills as 
2022-06-07 16:04:49 normalization >  621:    string
2022-06-07 16:04:49 normalization >  622:), ''), '-', coalesce(cast(bomb_plants as 
2022-06-07 16:04:49 normalization >  623:    string
2022-06-07 16:04:49 normalization >  624:), ''), '-', coalesce(cast(cash_earned as 
2022-06-07 16:04:49 normalization >  625:    string
2022-06-07 16:04:49 normalization >  626:), ''), '-', coalesce(cast(dmg_sources as 
2022-06-07 16:04:49 normalization >  627:    string
2022-06-07 16:04:49 normalization >  628:), ''), '-', coalesce(cast(fake_plants as 
2022-06-07 16:04:49 normalization >  629:    string
2022-06-07 16:04:49 normalization >  630:), ''), '-', coalesce(cast(got_flashed as 
2022-06-07 16:04:49 normalization >  631:    string
2022-06-07 16:04:49 normalization >  632:), ''), '-', coalesce(cast(knife_kills as 
2022-06-07 16:04:49 normalization >  633:    string
2022-06-07 16:04:49 normalization >  634:), ''), '-', coalesce(cast(player_rank as 
2022-06-07 16:04:49 normalization >  635:    string
2022-06-07 16:04:49 normalization >  636:), ''), '-', coalesce(cast(rifle_kills as 
2022-06-07 16:04:49 normalization >  637:    string
2022-06-07 16:04:49 normalization >  638:), ''), '-', coalesce(cast(site_plants as 
2022-06-07 16:04:49 normalization >  639:    string
2022-06-07 16:04:49 normalization >  640:), ''), '-', coalesce(cast(smoke_throw as 
2022-06-07 16:04:49 normalization >  641:    string
2022-06-07 16:04:49 normalization >  642:), ''), '-', coalesce(cast(trade_kills as 
2022-06-07 16:04:49 normalization >  643:    string
2022-06-07 16:04:49 normalization >  644:), ''), '-', coalesce(cast(weapon_hits as 
2022-06-07 16:04:49 normalization >  645:    string
2022-06-07 16:04:49 normalization >  646:), ''), '-', coalesce(cast(awp_accuracy as 
2022-06-07 16:04:49 normalization >  647:    string
2022-06-07 16:04:49 normalization >  648:), ''), '-', coalesce(cast(bomb_defuses as 
2022-06-07 16:04:49 normalization >  649:    string
2022-06-07 16:04:49 normalization >  650:), ''), '-', coalesce(cast(bomb_planted as 
2022-06-07 16:04:49 normalization >  651:    string
2022-06-07 16:04:49 normalization >  652:), ''), '-', coalesce(cast(clutch_kills as 
2022-06-07 16:04:49 normalization >  653:    string
2022-06-07 16:04:49 normalization >  654:), ''), '-', coalesce(cast(fake_defuses as 
2022-06-07 16:04:49 normalization >  655:    string
2022-06-07 16:04:49 normalization >  656:), ''), '-', coalesce(cast(first_to_see as 
2022-06-07 16:04:49 normalization >  657:    string
2022-06-07 16:04:49 normalization >  658:), ''), '-', coalesce(cast(molo_quality as 
2022-06-07 16:04:49 normalization >  659:    string
2022-06-07 16:04:49 normalization >  660:), ''), '-', coalesce(cast(site_changes as 
2022-06-07 16:04:49 normalization >  661:    string
2022-06-07 16:04:49 normalization >  662:), ''), '-', coalesce(cast(sniper_kills as 
2022-06-07 16:04:49 normalization >  663:    string
2022-06-07 16:04:49 normalization >  664:), ''), '-', coalesce(cast(weapon_drops as 
2022-06-07 16:04:49 normalization >  665:    string
2022-06-07 16:04:49 normalization >  666:), ''), '-', coalesce(cast(weapon_shots as 
2022-06-07 16:04:49 normalization >  667:    string
2022-06-07 16:04:49 normalization >  668:), ''), '-', coalesce(cast(bombs_defused as 
2022-06-07 16:04:49 normalization >  669:    string
2022-06-07 16:04:49 normalization >  670:), ''), '-', coalesce(cast(clutch_plants as 
2022-06-07 16:04:49 normalization >  671:    string
2022-06-07 16:04:49 normalization >  672:), ''), '-', coalesce(cast(dies_unscoped as 
2022-06-07 16:04:49 normalization >  673:    string
2022-06-07 16:04:49 normalization >  674:), ''), '-', coalesce(cast(entry_fragger as 
2022-06-07 16:04:49 normalization >  675:    string
2022-06-07 16:04:49 normalization >  676:), ''), '-', coalesce(cast(first_damages as 
2022-06-07 16:04:49 normalization >  677:    string
2022-06-07 16:04:49 normalization >  678:), ''), '-', coalesce(cast(flash_assists as 
2022-06-07 16:04:49 normalization >  679:    string
2022-06-07 16:04:49 normalization >  680:), ''), '-', coalesce(cast(he_efficiency as 
2022-06-07 16:04:49 normalization >  681:    string
2022-06-07 16:04:49 normalization >  682:), ''), '-', coalesce(cast(kills_flashed as 
2022-06-07 16:04:49 normalization >  683:    string
2022-06-07 16:04:49 normalization >  684:), ''), '-', coalesce(cast(opening_kills as 
2022-06-07 16:04:49 normalization >  685:    string
2022-06-07 16:04:49 normalization >  686:), ''), '-', coalesce(cast(rifle_hs_rate as 
2022-06-07 16:04:49 normalization >  687:    string
2022-06-07 16:04:49 normalization >  688:), ''), '-', coalesce(cast(rounds_played as 
2022-06-07 16:04:49 normalization >  689:    string
2022-06-07 16:04:49 normalization >  690:), ''), '-', coalesce(cast(smoke_quality as 
2022-06-07 16:04:49 normalization >  691:    string
2022-06-07 16:04:49 normalization >  692:), ''), '-', coalesce(cast(utilities_dmg as 
2022-06-07 16:04:49 normalization >  693:    string
2022-06-07 16:04:49 normalization >  694:), ''), '-', coalesce(cast(avg_death_time as 
2022-06-07 16:04:49 normalization >  695:    string
2022-06-07 16:04:49 normalization >  696:), ''), '-', coalesce(cast(clutch_defuses as 
2022-06-07 16:04:49 normalization >  697:    string
2022-06-07 16:04:49 normalization >  698:), ''), '-', coalesce(cast(coach_match_id as 
2022-06-07 16:04:49 normalization >  699:    string
2022-06-07 16:04:49 normalization >  700:), ''), '-', coalesce(cast(deaths_flashed as 
2022-06-07 16:04:49 normalization >  701:    string
2022-06-07 16:04:49 normalization >  702:), ''), '-', coalesce(cast(early_distance as 
2022-06-07 16:04:49 normalization >  703:    string
2022-06-07 16:04:49 normalization >  704:), ''), '-', coalesce(cast(flashed_deaths as 
2022-06-07 16:04:49 normalization >  705:    string
2022-06-07 16:04:49 normalization >  706:), ''), '-', coalesce(cast(flashes_caused as 
2022-06-07 16:04:49 normalization >  707:    string
2022-06-07 16:04:49 normalization >  708:), ''), '-', coalesce(cast(flashes_thrown as 
2022-06-07 16:04:49 normalization >  709:    string
2022-06-07 16:04:49 normalization >  710:), ''), '-', coalesce(cast(headshot_kills as 
2022-06-07 16:04:49 normalization >  711:    string
2022-06-07 16:04:49 normalization >  712:), ''), '-', coalesce(cast(multiple_kills as 
2022-06-07 16:04:49 normalization >  713:    string
2022-06-07 16:04:49 normalization >  714:), ''), '-', coalesce(cast(opening_deaths as 
2022-06-07 16:04:49 normalization >  715:    string
2022-06-07 16:04:49 normalization >  716:), ''), '-', coalesce(cast(opponents_hurt as 
2022-06-07 16:04:49 normalization >  717:    string
2022-06-07 16:04:49 normalization >  718:), ''), '-', coalesce(cast(player_country as 
2022-06-07 16:04:49 normalization >  719:    string
2022-06-07 16:04:49 normalization >  720:), ''), '-', coalesce(cast(rifle_accuracy as 
2022-06-07 16:04:49 normalization >  721:    string
2022-06-07 16:04:49 normalization >  722:), ''), '-', coalesce(cast(rifle_hs_kills as 
2022-06-07 16:04:49 normalization >  723:    string
2022-06-07 16:04:49 normalization >  724:), ''), '-', coalesce(cast(rifle_strafing as 
2022-06-07 16:04:49 normalization >  725:    string
2022-06-07 16:04:49 normalization >  726:), ''), '-', coalesce(cast(utilities_used as 
2022-06-07 16:04:49 normalization >  727:    string
2022-06-07 16:04:49 normalization >  728:), ''), '-', coalesce(cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >  729:    string
2022-06-07 16:04:49 normalization >  730:), ''), '-', coalesce(cast(coach_player_id as 
2022-06-07 16:04:49 normalization >  731:    string
2022-06-07 16:04:49 normalization >  732:), ''), '-', coalesce(cast(dies_knife_nade as 
2022-06-07 16:04:49 normalization >  733:    string
2022-06-07 16:04:49 normalization >  734:), ''), '-', coalesce(cast(early_utilities as 
2022-06-07 16:04:49 normalization >  735:    string
2022-06-07 16:04:49 normalization >  736:), ''), '-', coalesce(cast(sniper_hs_kills as 
2022-06-07 16:04:49 normalization >  737:    string
2022-06-07 16:04:49 normalization >  738:), ''), '-', coalesce(cast(sniper_strafing as 
2022-06-07 16:04:49 normalization >  739:    string
2022-06-07 16:04:49 normalization >  740:), ''), '-', coalesce(cast(_ab_cdc_log_file as 
2022-06-07 16:04:49 normalization >  741:    string
2022-06-07 16:04:49 normalization >  742:), ''), '-', coalesce(cast(deaths_no_seeing as 
2022-06-07 16:04:49 normalization >  743:    string
2022-06-07 16:04:49 normalization >  744:), ''), '-', coalesce(cast(faceit_player_id as 
2022-06-07 16:04:49 normalization >  745:    string
2022-06-07 16:04:49 normalization >  746:), ''), '-', coalesce(cast(first_round_side as 
2022-06-07 16:04:49 normalization >  747:    string
2022-06-07 16:04:49 normalization >  748:), ''), '-', coalesce(cast(flash_efficiency as 
2022-06-07 16:04:49 normalization >  749:    string
2022-06-07 16:04:49 normalization >  750:), ''), '-', coalesce(cast(kills_after_fake as 
2022-06-07 16:04:49 normalization >  751:    string
2022-06-07 16:04:49 normalization >  752:), ''), '-', coalesce(cast(kills_to_flashed as 
2022-06-07 16:04:49 normalization >  753:    string
2022-06-07 16:04:49 normalization >  754:), ''), '-', coalesce(cast(smoke_efficiency as 
2022-06-07 16:04:49 normalization >  755:    string
2022-06-07 16:04:49 normalization >  756:), ''), '-', coalesce(cast(avg_reaction_time as 
2022-06-07 16:04:49 normalization >  757:    string
2022-06-07 16:04:49 normalization >  758:), ''), '-', coalesce(cast(awp_shots_to_kill as 
2022-06-07 16:04:49 normalization >  759:    string
2022-06-07 16:04:49 normalization >  760:), ''), '-', coalesce(cast(opponents_flashed as 
2022-06-07 16:04:49 normalization >  761:    string
2022-06-07 16:04:49 normalization >  762:), ''), '-', coalesce(cast(team_players_hurt as 
2022-06-07 16:04:49 normalization >  763:    string
2022-06-07 16:04:49 normalization >  764:), ''), '-', coalesce(cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >  765:    string
2022-06-07 16:04:49 normalization >  766:), ''), '-', coalesce(cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >  767:    string
2022-06-07 16:04:49 normalization >  768:), ''), '-', coalesce(cast(scoped_battles_won as 
2022-06-07 16:04:49 normalization >  769:    string
2022-06-07 16:04:49 normalization >  770:), ''), '-', coalesce(cast(avg_equipment_value as 
2022-06-07 16:04:49 normalization >  771:    string
2022-06-07 16:04:49 normalization >  772:), ''), '-', coalesce(cast(kills_to_not_seeing as 
2022-06-07 16:04:49 normalization >  773:    string
2022-06-07 16:04:49 normalization >  774:), ''), '-', coalesce(cast(rifle_shots_to_kill as 
2022-06-07 16:04:49 normalization >  775:    string
2022-06-07 16:04:49 normalization >  776:), ''), '-', coalesce(cast(scoped_battles_lost as 
2022-06-07 16:04:49 normalization >  777:    string
2022-06-07 16:04:49 normalization >  778:), ''), '-', coalesce(cast(scoped_weapon_kills as 
2022-06-07 16:04:49 normalization >  779:    string
2022-06-07 16:04:49 normalization >  780:), ''), '-', coalesce(cast(weapon_hits_spotted as 
2022-06-07 16:04:49 normalization >  781:    string
2022-06-07 16:04:49 normalization >  782:), ''), '-', coalesce(cast(avg_distance_covered as 
2022-06-07 16:04:49 normalization >  783:    string
2022-06-07 16:04:49 normalization >  784:), ''), '-', coalesce(cast(awp_accuracy_spotted as 
2022-06-07 16:04:49 normalization >  785:    string
2022-06-07 16:04:49 normalization >  786:), ''), '-', coalesce(cast(first_see_in_seconds as 
2022-06-07 16:04:49 normalization >  787:    string
2022-06-07 16:04:49 normalization >  788:), ''), '-', coalesce(cast(weapon_shots_spotted as 
2022-06-07 16:04:49 normalization >  789:    string
2022-06-07 16:04:49 normalization >  790:), ''), '-', coalesce(cast(avg_distance_from_team as 
2022-06-07 16:04:49 normalization >  791:    string
2022-06-07 16:04:49 normalization >  792:), ''), '-', coalesce(cast(flashed_teammates_time as 
2022-06-07 16:04:49 normalization >  793:    string
2022-06-07 16:04:49 normalization >  794:), ''), '-', coalesce(cast(opponents_flashed_time as 
2022-06-07 16:04:49 normalization >  795:    string
2022-06-07 16:04:49 normalization >  796:), ''), '-', coalesce(cast(rifle_accuracy_spotted as 
2022-06-07 16:04:49 normalization >  797:    string
2022-06-07 16:04:49 normalization >  798:), ''), '-', coalesce(cast(utility_value_at_death as 
2022-06-07 16:04:49 normalization >  799:    string
2022-06-07 16:04:49 normalization >  800:), ''), '-', coalesce(cast(awp_crosshair_placement as 
2022-06-07 16:04:49 normalization >  801:    string
2022-06-07 16:04:49 normalization >  802:), ''), '-', coalesce(cast(flashes_leading_to_kill as 
2022-06-07 16:04:49 normalization >  803:    string
2022-06-07 16:04:49 normalization >  804:), ''), '-', coalesce(cast(number_of_possessed_awp as 
2022-06-07 16:04:49 normalization >  805:    string
2022-06-07 16:04:49 normalization >  806:), ''), '-', coalesce(cast(first_contact_in_seconds as 
2022-06-07 16:04:49 normalization >  807:    string
2022-06-07 16:04:49 normalization >  808:), ''), '-', coalesce(cast(avg_distance_in_right_dir as 
2022-06-07 16:04:49 normalization >  809:    string
2022-06-07 16:04:49 normalization >  810:), ''), '-', coalesce(cast(rifle_crosshair_placement as 
2022-06-07 16:04:49 normalization >  811:    string
2022-06-07 16:04:49 normalization >  812:), ''), '-', coalesce(cast(avg_distance_towards_enemy as 
2022-06-07 16:04:49 normalization >  813:    string
2022-06-07 16:04:49 normalization >  814:), ''), '-', coalesce(cast(sniper_crosshair_placement as 
2022-06-07 16:04:49 normalization >  815:    string
2022-06-07 16:04:49 normalization >  816:), ''), '-', coalesce(cast(rifle_shots_spotted_to_shots as 
2022-06-07 16:04:49 normalization >  817:    string
2022-06-07 16:04:49 normalization >  818:), ''), '-', coalesce(cast(rifle_sprays_while_opponent_spotted as 
2022-06-07 16:04:49 normalization >  819:    string
2022-06-07 16:04:49 normalization >  820:), ''), '-', coalesce(cast(rifle_good_hits_while_opponent_spotted as 
2022-06-07 16:04:49 normalization >  821:    string
2022-06-07 16:04:49 normalization >  822:), ''), '-', coalesce(cast(rifle_spray_hits_while_opponent_spotted as 
2022-06-07 16:04:49 normalization >  823:    string
2022-06-07 16:04:49 normalization >  824:), ''), '-', coalesce(cast(sniper_good_hits_while_opponent_spotted as 
2022-06-07 16:04:49 normalization >  825:    string
2022-06-07 16:04:49 normalization >  826:), ''), '-', coalesce(cast(rifle_weapon_hits_while_opponent_spotted as 
2022-06-07 16:04:49 normalization >  827:    string
2022-06-07 16:04:49 normalization >  828:), ''), '-', coalesce(cast(rifle_weapon_shots_while_opponent_spotted as 
2022-06-07 16:04:49 normalization >  829:    string
2022-06-07 16:04:49 normalization >  830:), ''), '-', coalesce(cast(sniper_weapon_hits_while_opponent_spotted as 
2022-06-07 16:04:49 normalization >  831:    string
2022-06-07 16:04:49 normalization >  832:), ''), '-', coalesce(cast(sniper_weapon_shots_while_opponent_spotted as 
2022-06-07 16:04:49 normalization >  833:    string
2022-06-07 16:04:49 normalization >  834:), '')) as 
2022-06-07 16:04:49 normalization >  835:    string
2022-06-07 16:04:49 normalization >  836:))) as _airbyte_coach_match_lineups_hashid,
2022-06-07 16:04:49 normalization >  837:    tmp.*
2022-06-07 16:04:49 normalization >  838:from __dbt__cte__coach_match_lineups_ab2 tmp
2022-06-07 16:04:49 normalization >  839:-- coach_match_lineups
2022-06-07 16:04:49 normalization >  840:where 1 = 1
2022-06-07 16:04:49 normalization >  841:;
2022-06-07 16:04:49 normalization >  842:
2022-06-07 16:04:49 normalization >     |    .    |    .    |    .    |    .    |    .    |    .    |    .    |    .    |    .    |    .    |    .    |    .    |    .    |    .    |    .    |
2022-06-07 16:04:49 normalization > 16:04:28.483515 [debug] [Thread-1  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:28.484528 [debug] [Thread-1  ]: Runtime Error in model coach_match_lineups_stg (models/generated/airbyte_views/ggpredict_airbyte/coach_match_lineups_stg.sql)
2022-06-07 16:04:49 normalization >   404 Not found: Table segment-351212:ggpredict_airbyte._airbyte_raw_coach_match_lineups was not found in location europe-central2
2022-06-07 16:04:49 normalization >   
2022-06-07 16:04:49 normalization >   (job ID: 44f9538b-bda6-4c39-92ad-cea5e411e16c)
2022-06-07 16:04:49 normalization > 16:04:28.485415 [error] [Thread-1  ]: 14 of 78 ERROR creating view model _airbyte_ggpredict_airbyte.coach_match_lineups_stg................................... [ERROR in 1.64s]
2022-06-07 16:04:49 normalization > 16:04:28.486272 [debug] [Thread-1  ]: Finished running node model.airbyte_utils.coach_match_lineups_stg
2022-06-07 16:04:49 normalization > 16:04:28.486705 [debug] [Thread-7  ]: On model.airbyte_utils.user_training_v2_level_segments_stg: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.user_training_v2_level_segments_stg"} */
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >   create or replace view `segment-351212`._airbyte_ggpredict_airbyte.`user_training_v2_level_segments_stg`
2022-06-07 16:04:49 normalization >   OPTIONS()
2022-06-07 16:04:49 normalization >   as 
2022-06-07 16:04:49 normalization > with __dbt__cte__user_training_v2_level_segments_ab1 as (
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema
2022-06-07 16:04:49 normalization > -- depends_on: `segment-351212`.ggpredict_airbyte._airbyte_raw_user_training_v2_level_segments
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['id']") as id,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['name']") as name,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['is_done']") as is_done,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_log_pos']") as _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_log_file']") as _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['current_progress']") as current_progress,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_deleted_at']") as _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_updated_at']") as _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['user_training_v2_level_id']") as user_training_v2_level_id,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['user_training_stats_per_level_id']") as user_training_stats_per_level_id,
2022-06-07 16:04:49 normalization >     _airbyte_ab_id,
2022-06-07 16:04:49 normalization >     _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at
2022-06-07 16:04:49 normalization > from `segment-351212`.ggpredict_airbyte._airbyte_raw_user_training_v2_level_segments as table_alias
2022-06-07 16:04:49 normalization > -- user_training_v2_level_segments
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > ),  __dbt__cte__user_training_v2_level_segments_ab2 as (
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type
2022-06-07 16:04:49 normalization > -- depends_on: __dbt__cte__user_training_v2_level_segments_ab1
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     cast(id as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as id,
2022-06-07 16:04:49 normalization >     cast(name as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as name,
2022-06-07 16:04:49 normalization >     cast(is_done as boolean) as is_done,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_log_file as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >     cast(current_progress as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as current_progress,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >     cast(user_training_v2_level_id as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as user_training_v2_level_id,
2022-06-07 16:04:49 normalization >     cast(user_training_stats_per_level_id as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as user_training_stats_per_level_id,
2022-06-07 16:04:49 normalization >     _airbyte_ab_id,
2022-06-07 16:04:49 normalization >     _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at
2022-06-07 16:04:49 normalization > from __dbt__cte__user_training_v2_level_segments_ab1
2022-06-07 16:04:49 normalization > -- user_training_v2_level_segments
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > )-- SQL model to build a hash column based on the values of this record
2022-06-07 16:04:49 normalization > -- depends_on: __dbt__cte__user_training_v2_level_segments_ab2
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     to_hex(md5(cast(concat(coalesce(cast(id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(name as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(is_done as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_log_file as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(current_progress as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(user_training_v2_level_id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(user_training_stats_per_level_id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), '')) as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ))) as _airbyte_user_training_v2_level_segments_hashid,
2022-06-07 16:04:49 normalization >     tmp.*
2022-06-07 16:04:49 normalization > from __dbt__cte__user_training_v2_level_segments_ab2 tmp
2022-06-07 16:04:49 normalization > -- user_training_v2_level_segments
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > ;
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 16:04:28.487278 [debug] [Thread-1  ]: Began running node model.airbyte_utils.user_training_v2_levels_stg
2022-06-07 16:04:49 normalization > 16:04:28.490764 [info ] [Thread-1  ]: 23 of 78 START view model _airbyte_ggpredict_airbyte.user_training_v2_levels_stg........................................ [RUN]
2022-06-07 16:04:49 normalization > 16:04:28.491685 [debug] [Thread-1  ]: Acquiring new bigquery connection "model.airbyte_utils.user_training_v2_levels_stg"
2022-06-07 16:04:49 normalization > 16:04:28.491954 [debug] [Thread-1  ]: Began compiling node model.airbyte_utils.user_training_v2_levels_stg
2022-06-07 16:04:49 normalization > 16:04:28.492196 [debug] [Thread-1  ]: Compiling model.airbyte_utils.user_training_v2_levels_stg
2022-06-07 16:04:49 normalization > 16:04:28.536564 [debug] [Thread-1  ]: Writing injected SQL for node "model.airbyte_utils.user_training_v2_levels_stg"
2022-06-07 16:04:49 normalization > 16:04:28.537013 [debug] [Thread-1  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:28.537191 [debug] [Thread-1  ]: Began executing node model.airbyte_utils.user_training_v2_levels_stg
2022-06-07 16:04:49 normalization > 16:04:28.541390 [debug] [Thread-1  ]: Writing runtime SQL for node "model.airbyte_utils.user_training_v2_levels_stg"
2022-06-07 16:04:49 normalization > 16:04:28.541837 [debug] [Thread-1  ]: Opening a new connection, currently in state closed
2022-06-07 16:04:49 normalization > 16:04:28.546208 [debug] [Thread-1  ]: On model.airbyte_utils.user_training_v2_levels_stg: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.user_training_v2_levels_stg"} */
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >   create or replace view `segment-351212`._airbyte_ggpredict_airbyte.`user_training_v2_levels_stg`
2022-06-07 16:04:49 normalization >   OPTIONS()
2022-06-07 16:04:49 normalization >   as 
2022-06-07 16:04:49 normalization > with __dbt__cte__user_training_v2_levels_ab1 as (
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema
2022-06-07 16:04:49 normalization > -- depends_on: `segment-351212`.ggpredict_airbyte._airbyte_raw_user_training_v2_levels
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['id']") as id,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['level']") as level,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['finished_date']") as finished_date,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['inserted_date']") as inserted_date,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_log_pos']") as _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['current_overall']") as current_overall,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_log_file']") as _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['overall_at_start']") as overall_at_start,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_deleted_at']") as _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_updated_at']") as _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['user_training_v2_id']") as user_training_v2_id,
2022-06-07 16:04:49 normalization >     _airbyte_ab_id,
2022-06-07 16:04:49 normalization >     _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at
2022-06-07 16:04:49 normalization > from `segment-351212`.ggpredict_airbyte._airbyte_raw_user_training_v2_levels as table_alias
2022-06-07 16:04:49 normalization > -- user_training_v2_levels
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > ),  __dbt__cte__user_training_v2_levels_ab2 as (
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type
2022-06-07 16:04:49 normalization > -- depends_on: __dbt__cte__user_training_v2_levels_ab1
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     cast(id as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as id,
2022-06-07 16:04:49 normalization >     cast(level as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as level,
2022-06-07 16:04:49 normalization >     cast(finished_date as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as finished_date,
2022-06-07 16:04:49 normalization >     cast(inserted_date as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as inserted_date,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >     cast(current_overall as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as current_overall,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_log_file as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >     cast(overall_at_start as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as overall_at_start,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >     cast(user_training_v2_id as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as user_training_v2_id,
2022-06-07 16:04:49 normalization >     _airbyte_ab_id,
2022-06-07 16:04:49 normalization >     _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at
2022-06-07 16:04:49 normalization > from __dbt__cte__user_training_v2_levels_ab1
2022-06-07 16:04:49 normalization > -- user_training_v2_levels
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > )-- SQL model to build a hash column based on the values of this record
2022-06-07 16:04:49 normalization > -- depends_on: __dbt__cte__user_training_v2_levels_ab2
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     to_hex(md5(cast(concat(coalesce(cast(id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(level as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(finished_date as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(inserted_date as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(current_overall as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_log_file as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(overall_at_start as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(user_training_v2_id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), '')) as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ))) as _airbyte_user_training_v2_levels_hashid,
2022-06-07 16:04:49 normalization >     tmp.*
2022-06-07 16:04:49 normalization > from __dbt__cte__user_training_v2_levels_ab2 tmp
2022-06-07 16:04:49 normalization > -- user_training_v2_levels
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > ;
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 16:04:28.647012 [debug] [Thread-6  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:28.650463 [info ] [Thread-6  ]: 18 of 78 OK created view model _airbyte_ggpredict_airbyte.user_training_v2_level_segment_unit_start_sessions_stg........ [OK in 0.91s]
2022-06-07 16:04:49 normalization > 16:04:28.658048 [debug] [Thread-3  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:28.659892 [info ] [Thread-3  ]: 19 of 78 OK created view model _airbyte_ggpredict_airbyte.user_server_weapon_stats_stg.................................. [OK in 0.83s]
2022-06-07 16:04:49 normalization > 16:04:28.660321 [debug] [Thread-6  ]: Finished running node model.airbyte_utils.user_training_v2_level_segment_unit_start_sessions_stg
2022-06-07 16:04:49 normalization > 16:04:28.663206 [debug] [Thread-6  ]: Began running node model.airbyte_utils.user_training_v2_streaks_stg
2022-06-07 16:04:49 normalization > 16:04:28.664026 [debug] [Thread-3  ]: Finished running node model.airbyte_utils.user_server_weapon_stats_stg
2022-06-07 16:04:49 normalization > 16:04:28.665285 [info ] [Thread-6  ]: 24 of 78 START view model _airbyte_ggpredict_airbyte.user_training_v2_streaks_stg....................................... [RUN]
2022-06-07 16:04:49 normalization > 16:04:28.665687 [debug] [Thread-3  ]: Began running node model.airbyte_utils.user_training_v2_unit_tags_stg
2022-06-07 16:04:49 normalization > 16:04:28.667267 [debug] [Thread-6  ]: Acquiring new bigquery connection "model.airbyte_utils.user_training_v2_streaks_stg"
2022-06-07 16:04:49 normalization > 16:04:28.667704 [info ] [Thread-3  ]: 25 of 78 START view model _airbyte_ggpredict_airbyte.user_training_v2_unit_tags_stg..................................... [RUN]
2022-06-07 16:04:49 normalization > 16:04:28.668063 [debug] [Thread-6  ]: Began compiling node model.airbyte_utils.user_training_v2_streaks_stg
2022-06-07 16:04:49 normalization > 16:04:28.668900 [debug] [Thread-3  ]: Acquiring new bigquery connection "model.airbyte_utils.user_training_v2_unit_tags_stg"
2022-06-07 16:04:49 normalization > 16:04:28.669251 [debug] [Thread-6  ]: Compiling model.airbyte_utils.user_training_v2_streaks_stg
2022-06-07 16:04:49 normalization > 16:04:28.669591 [debug] [Thread-3  ]: Began compiling node model.airbyte_utils.user_training_v2_unit_tags_stg
2022-06-07 16:04:49 normalization > 16:04:28.707303 [debug] [Thread-3  ]: Compiling model.airbyte_utils.user_training_v2_unit_tags_stg
2022-06-07 16:04:49 normalization > 16:04:28.714178 [debug] [Thread-6  ]: Writing injected SQL for node "model.airbyte_utils.user_training_v2_streaks_stg"
2022-06-07 16:04:49 normalization > 16:04:28.743228 [debug] [Thread-5  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:28.752310 [debug] [Thread-3  ]: Writing injected SQL for node "model.airbyte_utils.user_training_v2_unit_tags_stg"
2022-06-07 16:04:49 normalization > 16:04:28.753174 [info ] [Thread-5  ]: 15 of 78 OK created view model _airbyte_ggpredict_airbyte.user_matches_stg.............................................. [OK in 1.91s]
2022-06-07 16:04:49 normalization > 16:04:28.753851 [debug] [Thread-6  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:28.754482 [debug] [Thread-3  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:28.754659 [debug] [Thread-5  ]: Finished running node model.airbyte_utils.user_matches_stg
2022-06-07 16:04:49 normalization > 16:04:28.754921 [debug] [Thread-6  ]: Began executing node model.airbyte_utils.user_training_v2_streaks_stg
2022-06-07 16:04:49 normalization > 16:04:28.755240 [debug] [Thread-3  ]: Began executing node model.airbyte_utils.user_training_v2_unit_tags_stg
2022-06-07 16:04:49 normalization > 16:04:28.755499 [debug] [Thread-5  ]: Began running node model.airbyte_utils.users_stg
2022-06-07 16:04:49 normalization > 16:04:28.768533 [debug] [Thread-6  ]: Writing runtime SQL for node "model.airbyte_utils.user_training_v2_streaks_stg"
2022-06-07 16:04:49 normalization > 16:04:28.776189 [debug] [Thread-3  ]: Writing runtime SQL for node "model.airbyte_utils.user_training_v2_unit_tags_stg"
2022-06-07 16:04:49 normalization > 16:04:28.777080 [info ] [Thread-5  ]: 26 of 78 START view model _airbyte_ggpredict_airbyte.users_stg.......................................................... [RUN]
2022-06-07 16:04:49 normalization > 16:04:28.782174 [debug] [Thread-8  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:28.782956 [debug] [Thread-6  ]: Opening a new connection, currently in state closed
2022-06-07 16:04:49 normalization > 16:04:28.783653 [debug] [Thread-3  ]: Opening a new connection, currently in state closed
2022-06-07 16:04:49 normalization > 16:04:28.784158 [debug] [Thread-5  ]: Acquiring new bigquery connection "model.airbyte_utils.users_stg"
2022-06-07 16:04:49 normalization > 16:04:28.785211 [info ] [Thread-8  ]: 16 of 78 OK created view model _airbyte_ggpredict_airbyte.user_server_live_stats_stg.................................... [OK in 1.93s]
2022-06-07 16:04:49 normalization > 16:04:28.786080 [debug] [Thread-5  ]: Began compiling node model.airbyte_utils.users_stg
2022-06-07 16:04:49 normalization > 16:04:28.786703 [debug] [Thread-8  ]: Finished running node model.airbyte_utils.user_server_live_stats_stg
2022-06-07 16:04:49 normalization > 16:04:28.786961 [debug] [Thread-5  ]: Compiling model.airbyte_utils.users_stg
2022-06-07 16:04:49 normalization > 16:04:28.787299 [debug] [Thread-8  ]: Began running node model.airbyte_utils.challenges_scd
2022-06-07 16:04:49 normalization > 16:04:28.804517 [debug] [Thread-6  ]: On model.airbyte_utils.user_training_v2_streaks_stg: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.user_training_v2_streaks_stg"} */
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >   create or replace view `segment-351212`._airbyte_ggpredict_airbyte.`user_training_v2_streaks_stg`
2022-06-07 16:04:49 normalization >   OPTIONS()
2022-06-07 16:04:49 normalization >   as 
2022-06-07 16:04:49 normalization > with __dbt__cte__user_training_v2_streaks_ab1 as (
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema
2022-06-07 16:04:49 normalization > -- depends_on: `segment-351212`.ggpredict_airbyte._airbyte_raw_user_training_v2_streaks
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['id']") as id,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['value']") as value,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['last_update']") as last_update,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_log_pos']") as _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_log_file']") as _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_deleted_at']") as _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_updated_at']") as _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['user_training_v2_id']") as user_training_v2_id,
2022-06-07 16:04:49 normalization >     _airbyte_ab_id,
2022-06-07 16:04:49 normalization >     _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at
2022-06-07 16:04:49 normalization > from `segment-351212`.ggpredict_airbyte._airbyte_raw_user_training_v2_streaks as table_alias
2022-06-07 16:04:49 normalization > -- user_training_v2_streaks
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > ),  __dbt__cte__user_training_v2_streaks_ab2 as (
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type
2022-06-07 16:04:49 normalization > -- depends_on: __dbt__cte__user_training_v2_streaks_ab1
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     cast(id as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as id,
2022-06-07 16:04:49 normalization >     cast(value as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as value,
2022-06-07 16:04:49 normalization >     cast(last_update as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as last_update,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_log_file as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >     cast(user_training_v2_id as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as user_training_v2_id,
2022-06-07 16:04:49 normalization >     _airbyte_ab_id,
2022-06-07 16:04:49 normalization >     _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at
2022-06-07 16:04:49 normalization > from __dbt__cte__user_training_v2_streaks_ab1
2022-06-07 16:04:49 normalization > -- user_training_v2_streaks
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > )-- SQL model to build a hash column based on the values of this record
2022-06-07 16:04:49 normalization > -- depends_on: __dbt__cte__user_training_v2_streaks_ab2
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     to_hex(md5(cast(concat(coalesce(cast(id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(value as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(last_update as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_log_file as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(user_training_v2_id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), '')) as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ))) as _airbyte_user_training_v2_streaks_hashid,
2022-06-07 16:04:49 normalization >     tmp.*
2022-06-07 16:04:49 normalization > from __dbt__cte__user_training_v2_streaks_ab2 tmp
2022-06-07 16:04:49 normalization > -- user_training_v2_streaks
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > ;
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 16:04:28.815567 [debug] [Thread-3  ]: On model.airbyte_utils.user_training_v2_unit_tags_stg: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.user_training_v2_unit_tags_stg"} */
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >   create or replace view `segment-351212`._airbyte_ggpredict_airbyte.`user_training_v2_unit_tags_stg`
2022-06-07 16:04:49 normalization >   OPTIONS()
2022-06-07 16:04:49 normalization >   as 
2022-06-07 16:04:49 normalization > with __dbt__cte__user_training_v2_unit_tags_ab1 as (
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema
2022-06-07 16:04:49 normalization > -- depends_on: `segment-351212`.ggpredict_airbyte._airbyte_raw_user_training_v2_unit_tags
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['id']") as id,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['tag']") as tag,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['unit_name']") as unit_name,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_log_pos']") as _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_log_file']") as _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_deleted_at']") as _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_updated_at']") as _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >     _airbyte_ab_id,
2022-06-07 16:04:49 normalization >     _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at
2022-06-07 16:04:49 normalization > from `segment-351212`.ggpredict_airbyte._airbyte_raw_user_training_v2_unit_tags as table_alias
2022-06-07 16:04:49 normalization > -- user_training_v2_unit_tags
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > ),  __dbt__cte__user_training_v2_unit_tags_ab2 as (
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type
2022-06-07 16:04:49 normalization > -- depends_on: __dbt__cte__user_training_v2_unit_tags_ab1
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     cast(id as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as id,
2022-06-07 16:04:49 normalization >     cast(tag as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as tag,
2022-06-07 16:04:49 normalization >     cast(unit_name as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as unit_name,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_log_file as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >     _airbyte_ab_id,
2022-06-07 16:04:49 normalization >     _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at
2022-06-07 16:04:49 normalization > from __dbt__cte__user_training_v2_unit_tags_ab1
2022-06-07 16:04:49 normalization > -- user_training_v2_unit_tags
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > )-- SQL model to build a hash column based on the values of this record
2022-06-07 16:04:49 normalization > -- depends_on: __dbt__cte__user_training_v2_unit_tags_ab2
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     to_hex(md5(cast(concat(coalesce(cast(id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(tag as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(unit_name as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_log_file as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), '')) as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ))) as _airbyte_user_training_v2_unit_tags_hashid,
2022-06-07 16:04:49 normalization >     tmp.*
2022-06-07 16:04:49 normalization > from __dbt__cte__user_training_v2_unit_tags_ab2 tmp
2022-06-07 16:04:49 normalization > -- user_training_v2_unit_tags
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > ;
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 16:04:28.836737 [info ] [Thread-8  ]: 27 of 78 SKIP relation ggpredict_airbyte.challenges_scd................................................................. [SKIP]
2022-06-07 16:04:49 normalization > 16:04:28.917994 [debug] [Thread-8  ]: Finished running node model.airbyte_utils.challenges_scd
2022-06-07 16:04:49 normalization > 16:04:28.928859 [debug] [Thread-8  ]: Began running node model.airbyte_utils.coach_match_advanced_stats_v2_scd
2022-06-07 16:04:49 normalization > 16:04:28.934460 [debug] [Thread-5  ]: Writing injected SQL for node "model.airbyte_utils.users_stg"
2022-06-07 16:04:49 normalization > 16:04:28.940815 [info ] [Thread-8  ]: 28 of 78 SKIP relation ggpredict_airbyte.coach_match_advanced_stats_v2_scd.............................................. [SKIP]
2022-06-07 16:04:49 normalization > 16:04:28.948461 [debug] [Thread-5  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:28.949817 [debug] [Thread-8  ]: Finished running node model.airbyte_utils.coach_match_advanced_stats_v2_scd
2022-06-07 16:04:49 normalization > 16:04:28.954747 [debug] [Thread-5  ]: Began executing node model.airbyte_utils.users_stg
2022-06-07 16:04:49 normalization > 16:04:28.955449 [debug] [Thread-8  ]: Began running node model.airbyte_utils.coach_match_advanced_stats_scd
2022-06-07 16:04:49 normalization > 16:04:28.965093 [debug] [Thread-5  ]: Writing runtime SQL for node "model.airbyte_utils.users_stg"
2022-06-07 16:04:49 normalization > 16:04:28.965792 [info ] [Thread-8  ]: 29 of 78 START incremental model ggpredict_airbyte.coach_match_advanced_stats_scd....................................... [RUN]
2022-06-07 16:04:49 normalization > 16:04:28.966814 [debug] [Thread-8  ]: Acquiring new bigquery connection "model.airbyte_utils.coach_match_advanced_stats_scd"
2022-06-07 16:04:49 normalization > 16:04:28.967146 [debug] [Thread-8  ]: Began compiling node model.airbyte_utils.coach_match_advanced_stats_scd
2022-06-07 16:04:49 normalization > 16:04:28.967431 [debug] [Thread-5  ]: Opening a new connection, currently in state closed
2022-06-07 16:04:49 normalization > 16:04:28.967634 [debug] [Thread-8  ]: Compiling model.airbyte_utils.coach_match_advanced_stats_scd
2022-06-07 16:04:49 normalization > 16:04:28.987199 [debug] [Thread-5  ]: On model.airbyte_utils.users_stg: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.users_stg"} */
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >   create or replace view `segment-351212`._airbyte_ggpredict_airbyte.`users_stg`
2022-06-07 16:04:49 normalization >   OPTIONS()
2022-06-07 16:04:49 normalization >   as 
2022-06-07 16:04:49 normalization > with __dbt__cte__users_ab1 as (
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > -- SQL model to parse JSON blob stored in a single column and extract into separated field columns as described by the JSON Schema
2022-06-07 16:04:49 normalization > -- depends_on: `segment-351212`.ggpredict_airbyte._airbyte_raw_users
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['id']") as id,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['cid']") as cid,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['login']") as login,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['deleted']") as deleted,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['platform']") as platform,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['steam_id']") as steam_id,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['social_id']") as social_id,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['xsolla_id']") as xsolla_id,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['steam_rank']") as steam_rank,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['esportal_id']") as esportal_id,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['faceit_rank']") as faceit_rank,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['deleted_date']") as deleted_date,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['faceit_login']") as faceit_login,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['mailchimp_id']") as mailchimp_id,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['esportal_rank']") as esportal_rank,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['private_steam']") as private_steam,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['registered_at']") as registered_at,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['private_faceit']") as private_faceit,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['private_upload']") as private_upload,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_log_pos']") as _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['faceit_steam_id']") as faceit_steam_id,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['is_trial_active']") as is_trial_active,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['private_account']") as private_account,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_log_file']") as _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['faceit_player_id']") as faceit_player_id,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['private_esportal']") as private_esportal,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['esportal_steam_id']") as esportal_steam_id,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['esportal_username']") as esportal_username,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_deleted_at']") as _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['_ab_cdc_updated_at']") as _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['affiliation_program']") as affiliation_program,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['pro_status_valid_date']") as pro_status_valid_date,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['last_session_timestamp']") as last_session_timestamp,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['faceit_last_known_match']") as faceit_last_known_match,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['esportal_last_known_match']") as esportal_last_known_match,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['steam_authentication_code']") as steam_authentication_code,
2022-06-07 16:04:49 normalization >     json_extract_scalar(_airbyte_data, "$['steam_last_known_match_share_token']") as steam_last_known_match_share_token,
2022-06-07 16:04:49 normalization >     _airbyte_ab_id,
2022-06-07 16:04:49 normalization >     _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at
2022-06-07 16:04:49 normalization > from `segment-351212`.ggpredict_airbyte._airbyte_raw_users as table_alias
2022-06-07 16:04:49 normalization > -- users
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > ),  __dbt__cte__users_ab2 as (
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > -- SQL model to cast each column to its adequate SQL type converted from the JSON schema type
2022-06-07 16:04:49 normalization > -- depends_on: __dbt__cte__users_ab1
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     cast(id as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as id,
2022-06-07 16:04:49 normalization >     cast(cid as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as cid,
2022-06-07 16:04:49 normalization >     cast(login as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as login,
2022-06-07 16:04:49 normalization >     cast(deleted as boolean) as deleted,
2022-06-07 16:04:49 normalization >     cast(platform as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as platform,
2022-06-07 16:04:49 normalization >     cast(steam_id as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as steam_id,
2022-06-07 16:04:49 normalization >     cast(social_id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as social_id,
2022-06-07 16:04:49 normalization >     cast(xsolla_id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as xsolla_id,
2022-06-07 16:04:49 normalization >     cast(steam_rank as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as steam_rank,
2022-06-07 16:04:49 normalization >     cast(esportal_id as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as esportal_id,
2022-06-07 16:04:49 normalization >     cast(faceit_rank as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as faceit_rank,
2022-06-07 16:04:49 normalization >     cast(deleted_date as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as deleted_date,
2022-06-07 16:04:49 normalization >     cast(faceit_login as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as faceit_login,
2022-06-07 16:04:49 normalization >     cast(mailchimp_id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as mailchimp_id,
2022-06-07 16:04:49 normalization >     cast(esportal_rank as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as esportal_rank,
2022-06-07 16:04:49 normalization >     cast(private_steam as boolean) as private_steam,
2022-06-07 16:04:49 normalization >     cast(registered_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as registered_at,
2022-06-07 16:04:49 normalization >     cast(private_faceit as boolean) as private_faceit,
2022-06-07 16:04:49 normalization >     cast(private_upload as boolean) as private_upload,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >     cast(faceit_steam_id as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as faceit_steam_id,
2022-06-07 16:04:49 normalization >     cast(is_trial_active as boolean) as is_trial_active,
2022-06-07 16:04:49 normalization >     cast(private_account as boolean) as private_account,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_log_file as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >     cast(faceit_player_id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as faceit_player_id,
2022-06-07 16:04:49 normalization >     cast(private_esportal as boolean) as private_esportal,
2022-06-07 16:04:49 normalization >     cast(esportal_steam_id as 
2022-06-07 16:04:49 normalization >     float64
2022-06-07 16:04:49 normalization > ) as esportal_steam_id,
2022-06-07 16:04:49 normalization >     cast(esportal_username as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as esportal_username,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >     cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >     cast(affiliation_program as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as affiliation_program,
2022-06-07 16:04:49 normalization >     cast(pro_status_valid_date as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as pro_status_valid_date,
2022-06-07 16:04:49 normalization >     cast(last_session_timestamp as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as last_session_timestamp,
2022-06-07 16:04:49 normalization >     cast(faceit_last_known_match as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as faceit_last_known_match,
2022-06-07 16:04:49 normalization >     cast(esportal_last_known_match as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as esportal_last_known_match,
2022-06-07 16:04:49 normalization >     cast(steam_authentication_code as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as steam_authentication_code,
2022-06-07 16:04:49 normalization >     cast(steam_last_known_match_share_token as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ) as steam_last_known_match_share_token,
2022-06-07 16:04:49 normalization >     _airbyte_ab_id,
2022-06-07 16:04:49 normalization >     _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at
2022-06-07 16:04:49 normalization > from __dbt__cte__users_ab1
2022-06-07 16:04:49 normalization > -- users
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > )-- SQL model to build a hash column based on the values of this record
2022-06-07 16:04:49 normalization > -- depends_on: __dbt__cte__users_ab2
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     to_hex(md5(cast(concat(coalesce(cast(id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(cid as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(login as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(deleted as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(platform as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(steam_id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(social_id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(xsolla_id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(steam_rank as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(esportal_id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(faceit_rank as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(deleted_date as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(faceit_login as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(mailchimp_id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(esportal_rank as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(private_steam as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(registered_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(private_faceit as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(private_upload as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(faceit_steam_id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(is_trial_active as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(private_account as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_log_file as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(faceit_player_id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(private_esportal as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(esportal_steam_id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(esportal_username as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(affiliation_program as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(pro_status_valid_date as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(last_session_timestamp as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(faceit_last_known_match as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(esportal_last_known_match as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(steam_authentication_code as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(steam_last_known_match_share_token as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), '')) as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ))) as _airbyte_users_hashid,
2022-06-07 16:04:49 normalization >     tmp.*
2022-06-07 16:04:49 normalization > from __dbt__cte__users_ab2 tmp
2022-06-07 16:04:49 normalization > -- users
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > ;
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 16:04:29.005935 [debug] [Thread-8  ]: Writing injected SQL for node "model.airbyte_utils.coach_match_advanced_stats_scd"
2022-06-07 16:04:49 normalization > 16:04:29.009597 [debug] [Thread-2  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:29.013680 [info ] [Thread-2  ]: 20 of 78 OK created view model _airbyte_ggpredict_airbyte.user_training_v2_level_segment_unit_stats_stg................. [OK in 1.18s]
2022-06-07 16:04:49 normalization > 16:04:29.017006 [debug] [Thread-2  ]: Finished running node model.airbyte_utils.user_training_v2_level_segment_unit_stats_stg
2022-06-07 16:04:49 normalization > 16:04:29.017428 [debug] [Thread-8  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:29.020222 [debug] [Thread-2  ]: Began running node model.airbyte_utils.coach_match_sub_stats_v2_scd
2022-06-07 16:04:49 normalization > 16:04:29.023916 [debug] [Thread-8  ]: Began executing node model.airbyte_utils.coach_match_advanced_stats_scd
2022-06-07 16:04:49 normalization > 16:04:29.029719 [debug] [Thread-4  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:29.030293 [info ] [Thread-2  ]: 30 of 78 START incremental model ggpredict_airbyte.coach_match_sub_stats_v2_scd......................................... [RUN]
2022-06-07 16:04:49 normalization > 16:04:29.065649 [info ] [Thread-4  ]: 21 of 78 OK created view model _airbyte_ggpredict_airbyte.user_training_v2_level_segment_units_stg...................... [OK in 0.99s]
2022-06-07 16:04:49 normalization > 16:04:29.078809 [debug] [Thread-8  ]: Opening a new connection, currently in state closed
2022-06-07 16:04:49 normalization > 16:04:29.083904 [debug] [Thread-2  ]: Acquiring new bigquery connection "model.airbyte_utils.coach_match_sub_stats_v2_scd"
2022-06-07 16:04:49 normalization > 16:04:29.089988 [debug] [Thread-4  ]: Finished running node model.airbyte_utils.user_training_v2_level_segment_units_stg
2022-06-07 16:04:49 normalization > 16:04:29.095110 [debug] [Thread-7  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:29.105525 [debug] [Thread-2  ]: Began compiling node model.airbyte_utils.coach_match_sub_stats_v2_scd
2022-06-07 16:04:49 normalization > 16:04:29.106569 [debug] [Thread-4  ]: Began running node model.airbyte_utils.coach_match_missplays_in_rounds_scd
2022-06-07 16:04:49 normalization > 16:04:29.107904 [info ] [Thread-7  ]: 22 of 78 OK created view model _airbyte_ggpredict_airbyte.user_training_v2_level_segments_stg........................... [OK in 0.70s]
2022-06-07 16:04:49 normalization > 16:04:29.108357 [debug] [Thread-2  ]: Compiling model.airbyte_utils.coach_match_sub_stats_v2_scd
2022-06-07 16:04:49 normalization > 16:04:29.108965 [info ] [Thread-4  ]: 31 of 78 START incremental model ggpredict_airbyte.coach_match_missplays_in_rounds_scd.................................. [RUN]
2022-06-07 16:04:49 normalization > 16:04:29.109893 [debug] [Thread-7  ]: Finished running node model.airbyte_utils.user_training_v2_level_segments_stg
2022-06-07 16:04:49 normalization > 16:04:29.145665 [debug] [Thread-2  ]: Writing injected SQL for node "model.airbyte_utils.coach_match_sub_stats_v2_scd"
2022-06-07 16:04:49 normalization > 16:04:29.147965 [debug] [Thread-4  ]: Acquiring new bigquery connection "model.airbyte_utils.coach_match_missplays_in_rounds_scd"
2022-06-07 16:04:49 normalization > 16:04:29.149389 [debug] [Thread-7  ]: Began running node model.airbyte_utils.challenge_weapons_scd
2022-06-07 16:04:49 normalization > 16:04:29.158009 [debug] [Thread-2  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:29.158461 [debug] [Thread-4  ]: Began compiling node model.airbyte_utils.coach_match_missplays_in_rounds_scd
2022-06-07 16:04:49 normalization > 16:04:29.159331 [info ] [Thread-7  ]: 32 of 78 START incremental model ggpredict_airbyte.challenge_weapons_scd................................................ [RUN]
2022-06-07 16:04:49 normalization > 16:04:29.160276 [debug] [Thread-2  ]: Began executing node model.airbyte_utils.coach_match_sub_stats_v2_scd
2022-06-07 16:04:49 normalization > 16:04:29.160952 [debug] [Thread-4  ]: Compiling model.airbyte_utils.coach_match_missplays_in_rounds_scd
2022-06-07 16:04:49 normalization > 16:04:29.162287 [debug] [Thread-7  ]: Acquiring new bigquery connection "model.airbyte_utils.challenge_weapons_scd"
2022-06-07 16:04:49 normalization > 16:04:29.168318 [debug] [Thread-2  ]: Opening a new connection, currently in state closed
2022-06-07 16:04:49 normalization > 16:04:29.197789 [debug] [Thread-7  ]: Began compiling node model.airbyte_utils.challenge_weapons_scd
2022-06-07 16:04:49 normalization > 16:04:29.202338 [debug] [Thread-4  ]: Writing injected SQL for node "model.airbyte_utils.coach_match_missplays_in_rounds_scd"
2022-06-07 16:04:49 normalization > 16:04:29.205653 [debug] [Thread-7  ]: Compiling model.airbyte_utils.challenge_weapons_scd
2022-06-07 16:04:49 normalization > 16:04:29.211583 [debug] [Thread-1  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:29.212102 [debug] [Thread-4  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:29.244057 [info ] [Thread-1  ]: 23 of 78 OK created view model _airbyte_ggpredict_airbyte.user_training_v2_levels_stg................................... [OK in 0.75s]
2022-06-07 16:04:49 normalization > 16:04:29.247181 [debug] [Thread-7  ]: Writing injected SQL for node "model.airbyte_utils.challenge_weapons_scd"
2022-06-07 16:04:49 normalization > 16:04:29.248142 [debug] [Thread-4  ]: Began executing node model.airbyte_utils.coach_match_missplays_in_rounds_scd
2022-06-07 16:04:49 normalization > 16:04:29.253571 [debug] [Thread-1  ]: Finished running node model.airbyte_utils.user_training_v2_levels_stg
2022-06-07 16:04:49 normalization > 16:04:29.266549 [debug] [Thread-4  ]: Opening a new connection, currently in state closed
2022-06-07 16:04:49 normalization > 16:04:29.266970 [debug] [Thread-7  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:29.267922 [debug] [Thread-1  ]: Began running node model.airbyte_utils.challenge_types_scd
2022-06-07 16:04:49 normalization > 16:04:29.269904 [debug] [Thread-7  ]: Began executing node model.airbyte_utils.challenge_weapons_scd
2022-06-07 16:04:49 normalization > 16:04:29.270581 [info ] [Thread-1  ]: 33 of 78 START incremental model ggpredict_airbyte.challenge_types_scd.................................................. [RUN]
2022-06-07 16:04:49 normalization > 16:04:29.277256 [debug] [Thread-7  ]: Opening a new connection, currently in state closed
2022-06-07 16:04:49 normalization > 16:04:29.279796 [debug] [Thread-1  ]: Acquiring new bigquery connection "model.airbyte_utils.challenge_types_scd"
2022-06-07 16:04:49 normalization > 16:04:29.281981 [debug] [Thread-1  ]: Began compiling node model.airbyte_utils.challenge_types_scd
2022-06-07 16:04:49 normalization > 16:04:29.282410 [debug] [Thread-1  ]: Compiling model.airbyte_utils.challenge_types_scd
2022-06-07 16:04:49 normalization > 16:04:29.313766 [debug] [Thread-1  ]: Writing injected SQL for node "model.airbyte_utils.challenge_types_scd"
2022-06-07 16:04:49 normalization > 16:04:29.315947 [debug] [Thread-1  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:29.316402 [debug] [Thread-1  ]: Began executing node model.airbyte_utils.challenge_types_scd
2022-06-07 16:04:49 normalization > 16:04:29.319881 [debug] [Thread-1  ]: Opening a new connection, currently in state closed
2022-06-07 16:04:49 normalization > 16:04:29.403654 [debug] [Thread-8  ]: BigQuery adapter: get_columns_in_relation error: 404 GET https://bigquery.googleapis.com/bigquery/v2/projects/segment-351212/datasets/ggpredict_airbyte/tables/coach_match_advanced_stats_scd?prettyPrint=false: Not found: Table segment-351212:ggpredict_airbyte.coach_match_advanced_stats_scd
2022-06-07 16:04:49 normalization > 16:04:29.423569 [info ] [Thread-8  ]: 16:04:29 + `segment-351212`.ggpredict_airbyte.`coach_match_advanced_stats_scd`._airbyte_ab_id does not exist yet. The table will be created or rebuilt with dbt.full_refresh
2022-06-07 16:04:49 normalization > 16:04:29.469387 [debug] [Thread-8  ]: Writing runtime SQL for node "model.airbyte_utils.coach_match_advanced_stats_scd"
2022-06-07 16:04:49 normalization > 16:04:29.471495 [debug] [Thread-2  ]: BigQuery adapter: get_columns_in_relation error: 404 GET https://bigquery.googleapis.com/bigquery/v2/projects/segment-351212/datasets/ggpredict_airbyte/tables/coach_match_sub_stats_v2_scd?prettyPrint=false: Not found: Table segment-351212:ggpredict_airbyte.coach_match_sub_stats_v2_scd
2022-06-07 16:04:49 normalization > 16:04:29.474211 [info ] [Thread-2  ]: 16:04:29 + `segment-351212`.ggpredict_airbyte.`coach_match_sub_stats_v2_scd`._airbyte_ab_id does not exist yet. The table will be created or rebuilt with dbt.full_refresh
2022-06-07 16:04:49 normalization > 16:04:29.474716 [debug] [Thread-8  ]: On model.airbyte_utils.coach_match_advanced_stats_scd: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.coach_match_advanced_stats_scd"} */
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >   create or replace table `segment-351212`.ggpredict_airbyte.`coach_match_advanced_stats_scd`
2022-06-07 16:04:49 normalization >   partition by range_bucket(
2022-06-07 16:04:49 normalization >             _airbyte_active_row,
2022-06-07 16:04:49 normalization >             generate_array(0, 1, 1)
2022-06-07 16:04:49 normalization >         )
2022-06-07 16:04:49 normalization >   cluster by _airbyte_unique_key_scd, _airbyte_emitted_at
2022-06-07 16:04:49 normalization >   OPTIONS()
2022-06-07 16:04:49 normalization >   as (
2022-06-07 16:04:49 normalization >     
2022-06-07 16:04:49 normalization > -- depends_on: ref('coach_match_advanced_stats_stg')
2022-06-07 16:04:49 normalization > with
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > input_data as (
2022-06-07 16:04:49 normalization >     select *
2022-06-07 16:04:49 normalization >     from `segment-351212`._airbyte_ggpredict_airbyte.`coach_match_advanced_stats_stg`
2022-06-07 16:04:49 normalization >     -- coach_match_advanced_stats from `segment-351212`.ggpredict_airbyte._airbyte_raw_coach_match_advanced_stats
2022-06-07 16:04:49 normalization > ),
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > scd_data as (
2022-06-07 16:04:49 normalization >     -- SQL model to build a Type 2 Slowly Changing Dimension (SCD) table for each record identified by their primary key
2022-06-07 16:04:49 normalization >     select
2022-06-07 16:04:49 normalization >       to_hex(md5(cast(concat(coalesce(cast(coach_match_id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(coach_player_id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), '')) as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ))) as _airbyte_unique_key,
2022-06-07 16:04:49 normalization >       aiming,
2022-06-07 16:04:49 normalization >       clutch,
2022-06-07 16:04:49 normalization >       sniping,
2022-06-07 16:04:49 normalization >       gamepace,
2022-06-07 16:04:49 normalization >       teamplay,
2022-06-07 16:04:49 normalization >       aggression,
2022-06-07 16:04:49 normalization >       positioning,
2022-06-07 16:04:49 normalization >       coach_match_id,
2022-06-07 16:04:49 normalization >       responsiveness,
2022-06-07 16:04:49 normalization >       utilitiesusage,
2022-06-07 16:04:49 normalization >       _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >       coach_player_id,
2022-06-07 16:04:49 normalization >       _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >       _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >       _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >       _ab_cdc_updated_at as _airbyte_start_at,
2022-06-07 16:04:49 normalization >       lag(_ab_cdc_updated_at) over (
2022-06-07 16:04:49 normalization >         partition by cast(coach_match_id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), cast(coach_player_id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > )
2022-06-07 16:04:49 normalization >         order by
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at is null asc,
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at desc,
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at desc,
2022-06-07 16:04:49 normalization >             _ab_cdc_log_pos desc,
2022-06-07 16:04:49 normalization >             _airbyte_emitted_at desc
2022-06-07 16:04:49 normalization >       ) as _airbyte_end_at,
2022-06-07 16:04:49 normalization >       case when row_number() over (
2022-06-07 16:04:49 normalization >         partition by cast(coach_match_id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), cast(coach_player_id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > )
2022-06-07 16:04:49 normalization >         order by
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at is null asc,
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at desc,
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at desc,
2022-06-07 16:04:49 normalization >             _ab_cdc_log_pos desc,
2022-06-07 16:04:49 normalization >             _airbyte_emitted_at desc
2022-06-07 16:04:49 normalization >       ) = 1 and _ab_cdc_deleted_at is null then 1 else 0 end as _airbyte_active_row,
2022-06-07 16:04:49 normalization >       _airbyte_ab_id,
2022-06-07 16:04:49 normalization >       _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >       _airbyte_coach_match_advanced_stats_hashid
2022-06-07 16:04:49 normalization >     from input_data
2022-06-07 16:04:49 normalization > ),
2022-06-07 16:04:49 normalization > dedup_data as (
2022-06-07 16:04:49 normalization >     select
2022-06-07 16:04:49 normalization >         -- we need to ensure de-duplicated rows for merge/update queries
2022-06-07 16:04:49 normalization >         -- additionally, we generate a unique key for the scd table
2022-06-07 16:04:49 normalization >         row_number() over (
2022-06-07 16:04:49 normalization >             partition by
2022-06-07 16:04:49 normalization >                 _airbyte_unique_key,
2022-06-07 16:04:49 normalization >                 _airbyte_start_at,
2022-06-07 16:04:49 normalization >                 _airbyte_emitted_at, cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > )
2022-06-07 16:04:49 normalization >             order by _airbyte_active_row desc, _airbyte_ab_id
2022-06-07 16:04:49 normalization >         ) as _airbyte_row_num,
2022-06-07 16:04:49 normalization >         to_hex(md5(cast(concat(coalesce(cast(_airbyte_unique_key as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_airbyte_start_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_airbyte_emitted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), '')) as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ))) as _airbyte_unique_key_scd,
2022-06-07 16:04:49 normalization >         scd_data.*
2022-06-07 16:04:49 normalization >     from scd_data
2022-06-07 16:04:49 normalization > )
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     _airbyte_unique_key,
2022-06-07 16:04:49 normalization >     _airbyte_unique_key_scd,
2022-06-07 16:04:49 normalization >     aiming,
2022-06-07 16:04:49 normalization >     clutch,
2022-06-07 16:04:49 normalization >     sniping,
2022-06-07 16:04:49 normalization >     gamepace,
2022-06-07 16:04:49 normalization >     teamplay,
2022-06-07 16:04:49 normalization >     aggression,
2022-06-07 16:04:49 normalization >     positioning,
2022-06-07 16:04:49 normalization >     coach_match_id,
2022-06-07 16:04:49 normalization >     responsiveness,
2022-06-07 16:04:49 normalization >     utilitiesusage,
2022-06-07 16:04:49 normalization >     _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >     coach_player_id,
2022-06-07 16:04:49 normalization >     _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >     _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >     _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >     _airbyte_start_at,
2022-06-07 16:04:49 normalization >     _airbyte_end_at,
2022-06-07 16:04:49 normalization >     _airbyte_active_row,
2022-06-07 16:04:49 normalization >     _airbyte_ab_id,
2022-06-07 16:04:49 normalization >     _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at,
2022-06-07 16:04:49 normalization >     _airbyte_coach_match_advanced_stats_hashid
2022-06-07 16:04:49 normalization > from dedup_data where _airbyte_row_num = 1
2022-06-07 16:04:49 normalization >   );
2022-06-07 16:04:49 normalization >   
2022-06-07 16:04:49 normalization > 16:04:29.484473 [debug] [Thread-2  ]: Writing runtime SQL for node "model.airbyte_utils.coach_match_sub_stats_v2_scd"
2022-06-07 16:04:49 normalization > 16:04:29.485369 [debug] [Thread-4  ]: BigQuery adapter: get_columns_in_relation error: 404 GET https://bigquery.googleapis.com/bigquery/v2/projects/segment-351212/datasets/ggpredict_airbyte/tables/coach_match_missplays_in_rounds_scd?prettyPrint=false: Not found: Table segment-351212:ggpredict_airbyte.coach_match_missplays_in_rounds_scd
2022-06-07 16:04:49 normalization > 16:04:29.486549 [debug] [Thread-1  ]: BigQuery adapter: get_columns_in_relation error: 404 GET https://bigquery.googleapis.com/bigquery/v2/projects/segment-351212/datasets/ggpredict_airbyte/tables/challenge_types_scd?prettyPrint=false: Not found: Table segment-351212:ggpredict_airbyte.challenge_types_scd
2022-06-07 16:04:49 normalization > 16:04:29.492341 [info ] [Thread-4  ]: 16:04:29 + `segment-351212`.ggpredict_airbyte.`coach_match_missplays_in_rounds_scd`._airbyte_ab_id does not exist yet. The table will be created or rebuilt with dbt.full_refresh
2022-06-07 16:04:49 normalization > 16:04:29.492806 [debug] [Thread-2  ]: On model.airbyte_utils.coach_match_sub_stats_v2_scd: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.coach_match_sub_stats_v2_scd"} */
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >   create or replace table `segment-351212`.ggpredict_airbyte.`coach_match_sub_stats_v2_scd`
2022-06-07 16:04:49 normalization >   partition by range_bucket(
2022-06-07 16:04:49 normalization >             _airbyte_active_row,
2022-06-07 16:04:49 normalization >             generate_array(0, 1, 1)
2022-06-07 16:04:49 normalization >         )
2022-06-07 16:04:49 normalization >   cluster by _airbyte_unique_key_scd, _airbyte_emitted_at
2022-06-07 16:04:49 normalization >   OPTIONS()
2022-06-07 16:04:49 normalization >   as (
2022-06-07 16:04:49 normalization >     
2022-06-07 16:04:49 normalization > -- depends_on: ref('coach_match_sub_stats_v2_stg')
2022-06-07 16:04:49 normalization > with
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > input_data as (
2022-06-07 16:04:49 normalization >     select *
2022-06-07 16:04:49 normalization >     from `segment-351212`._airbyte_ggpredict_airbyte.`coach_match_sub_stats_v2_stg`
2022-06-07 16:04:49 normalization >     -- coach_match_sub_stats_v2 from `segment-351212`.ggpredict_airbyte._airbyte_raw_coach_match_sub_stats_v2
2022-06-07 16:04:49 normalization > ),
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > scd_data as (
2022-06-07 16:04:49 normalization >     -- SQL model to build a Type 2 Slowly Changing Dimension (SCD) table for each record identified by their primary key
2022-06-07 16:04:49 normalization >     select
2022-06-07 16:04:49 normalization >       to_hex(md5(cast(concat(coalesce(cast(coach_match_id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(coach_player_id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(sub_stat as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), '')) as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ))) as _airbyte_unique_key,
2022-06-07 16:04:49 normalization >       score,
2022-06-07 16:04:49 normalization >       sub_stat,
2022-06-07 16:04:49 normalization >       coach_match_id,
2022-06-07 16:04:49 normalization >       _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >       coach_player_id,
2022-06-07 16:04:49 normalization >       _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >       _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >       _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >       _ab_cdc_updated_at as _airbyte_start_at,
2022-06-07 16:04:49 normalization >       lag(_ab_cdc_updated_at) over (
2022-06-07 16:04:49 normalization >         partition by cast(coach_match_id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), cast(coach_player_id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), sub_stat
2022-06-07 16:04:49 normalization >         order by
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at is null asc,
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at desc,
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at desc,
2022-06-07 16:04:49 normalization >             _ab_cdc_log_pos desc,
2022-06-07 16:04:49 normalization >             _airbyte_emitted_at desc
2022-06-07 16:04:49 normalization >       ) as _airbyte_end_at,
2022-06-07 16:04:49 normalization >       case when row_number() over (
2022-06-07 16:04:49 normalization >         partition by cast(coach_match_id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), cast(coach_player_id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), sub_stat
2022-06-07 16:04:49 normalization >         order by
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at is null asc,
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at desc,
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at desc,
2022-06-07 16:04:49 normalization >             _ab_cdc_log_pos desc,
2022-06-07 16:04:49 normalization >             _airbyte_emitted_at desc
2022-06-07 16:04:49 normalization >       ) = 1 and _ab_cdc_deleted_at is null then 1 else 0 end as _airbyte_active_row,
2022-06-07 16:04:49 normalization >       _airbyte_ab_id,
2022-06-07 16:04:49 normalization >       _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >       _airbyte_coach_match_sub_stats_v2_hashid
2022-06-07 16:04:49 normalization >     from input_data
2022-06-07 16:04:49 normalization > ),
2022-06-07 16:04:49 normalization > dedup_data as (
2022-06-07 16:04:49 normalization >     select
2022-06-07 16:04:49 normalization >         -- we need to ensure de-duplicated rows for merge/update queries
2022-06-07 16:04:49 normalization >         -- additionally, we generate a unique key for the scd table
2022-06-07 16:04:49 normalization >         row_number() over (
2022-06-07 16:04:49 normalization >             partition by
2022-06-07 16:04:49 normalization >                 _airbyte_unique_key,
2022-06-07 16:04:49 normalization >                 _airbyte_start_at,
2022-06-07 16:04:49 normalization >                 _airbyte_emitted_at, cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > )
2022-06-07 16:04:49 normalization >             order by _airbyte_active_row desc, _airbyte_ab_id
2022-06-07 16:04:49 normalization >         ) as _airbyte_row_num,
2022-06-07 16:04:49 normalization >         to_hex(md5(cast(concat(coalesce(cast(_airbyte_unique_key as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_airbyte_start_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_airbyte_emitted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), '')) as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ))) as _airbyte_unique_key_scd,
2022-06-07 16:04:49 normalization >         scd_data.*
2022-06-07 16:04:49 normalization >     from scd_data
2022-06-07 16:04:49 normalization > )
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     _airbyte_unique_key,
2022-06-07 16:04:49 normalization >     _airbyte_unique_key_scd,
2022-06-07 16:04:49 normalization >     score,
2022-06-07 16:04:49 normalization >     sub_stat,
2022-06-07 16:04:49 normalization >     coach_match_id,
2022-06-07 16:04:49 normalization >     _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >     coach_player_id,
2022-06-07 16:04:49 normalization >     _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >     _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >     _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >     _airbyte_start_at,
2022-06-07 16:04:49 normalization >     _airbyte_end_at,
2022-06-07 16:04:49 normalization >     _airbyte_active_row,
2022-06-07 16:04:49 normalization >     _airbyte_ab_id,
2022-06-07 16:04:49 normalization >     _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at,
2022-06-07 16:04:49 normalization >     _airbyte_coach_match_sub_stats_v2_hashid
2022-06-07 16:04:49 normalization > from dedup_data where _airbyte_row_num = 1
2022-06-07 16:04:49 normalization >   );
2022-06-07 16:04:49 normalization >   
2022-06-07 16:04:49 normalization > 16:04:29.494031 [info ] [Thread-1  ]: 16:04:29 + `segment-351212`.ggpredict_airbyte.`challenge_types_scd`._airbyte_ab_id does not exist yet. The table will be created or rebuilt with dbt.full_refresh
2022-06-07 16:04:49 normalization > 16:04:29.501286 [debug] [Thread-4  ]: Writing runtime SQL for node "model.airbyte_utils.coach_match_missplays_in_rounds_scd"
2022-06-07 16:04:49 normalization > 16:04:29.511586 [debug] [Thread-1  ]: Writing runtime SQL for node "model.airbyte_utils.challenge_types_scd"
2022-06-07 16:04:49 normalization > 16:04:29.512101 [debug] [Thread-7  ]: BigQuery adapter: get_columns_in_relation error: 404 GET https://bigquery.googleapis.com/bigquery/v2/projects/segment-351212/datasets/ggpredict_airbyte/tables/challenge_weapons_scd?prettyPrint=false: Not found: Table segment-351212:ggpredict_airbyte.challenge_weapons_scd
2022-06-07 16:04:49 normalization > 16:04:29.513027 [debug] [Thread-4  ]: On model.airbyte_utils.coach_match_missplays_in_rounds_scd: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.coach_match_missplays_in_rounds_scd"} */
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >   create or replace table `segment-351212`.ggpredict_airbyte.`coach_match_missplays_in_rounds_scd`
2022-06-07 16:04:49 normalization >   partition by range_bucket(
2022-06-07 16:04:49 normalization >             _airbyte_active_row,
2022-06-07 16:04:49 normalization >             generate_array(0, 1, 1)
2022-06-07 16:04:49 normalization >         )
2022-06-07 16:04:49 normalization >   cluster by _airbyte_unique_key_scd, _airbyte_emitted_at
2022-06-07 16:04:49 normalization >   OPTIONS()
2022-06-07 16:04:49 normalization >   as (
2022-06-07 16:04:49 normalization >     
2022-06-07 16:04:49 normalization > -- depends_on: ref('coach_match_missplays_in_rounds_stg')
2022-06-07 16:04:49 normalization > with
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > input_data as (
2022-06-07 16:04:49 normalization >     select *
2022-06-07 16:04:49 normalization >     from `segment-351212`._airbyte_ggpredict_airbyte.`coach_match_missplays_in_rounds_stg`
2022-06-07 16:04:49 normalization >     -- coach_match_missplays_in_rounds from `segment-351212`.ggpredict_airbyte._airbyte_raw_coach_match_missplays_in_rounds
2022-06-07 16:04:49 normalization > ),
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > scd_data as (
2022-06-07 16:04:49 normalization >     -- SQL model to build a Type 2 Slowly Changing Dimension (SCD) table for each record identified by their primary key
2022-06-07 16:04:49 normalization >     select
2022-06-07 16:04:49 normalization >       to_hex(md5(cast(concat(coalesce(cast(id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), '')) as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ))) as _airbyte_unique_key,
2022-06-07 16:04:49 normalization >       x,
2022-06-07 16:04:49 normalization >       y,
2022-06-07 16:04:49 normalization >       z,
2022-06-07 16:04:49 normalization >       id,
2022-06-07 16:04:49 normalization >       time,
2022-06-07 16:04:49 normalization >       round,
2022-06-07 16:04:49 normalization >       missplay_id,
2022-06-07 16:04:49 normalization >       coach_match_id,
2022-06-07 16:04:49 normalization >       _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >       coach_player_id,
2022-06-07 16:04:49 normalization >       _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >       _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >       _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >       _ab_cdc_updated_at as _airbyte_start_at,
2022-06-07 16:04:49 normalization >       lag(_ab_cdc_updated_at) over (
2022-06-07 16:04:49 normalization >         partition by cast(id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > )
2022-06-07 16:04:49 normalization >         order by
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at is null asc,
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at desc,
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at desc,
2022-06-07 16:04:49 normalization >             _ab_cdc_log_pos desc,
2022-06-07 16:04:49 normalization >             _airbyte_emitted_at desc
2022-06-07 16:04:49 normalization >       ) as _airbyte_end_at,
2022-06-07 16:04:49 normalization >       case when row_number() over (
2022-06-07 16:04:49 normalization >         partition by cast(id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > )
2022-06-07 16:04:49 normalization >         order by
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at is null asc,
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at desc,
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at desc,
2022-06-07 16:04:49 normalization >             _ab_cdc_log_pos desc,
2022-06-07 16:04:49 normalization >             _airbyte_emitted_at desc
2022-06-07 16:04:49 normalization >       ) = 1 and _ab_cdc_deleted_at is null then 1 else 0 end as _airbyte_active_row,
2022-06-07 16:04:49 normalization >       _airbyte_ab_id,
2022-06-07 16:04:49 normalization >       _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >       _airbyte_coach_match_missplays_in_rounds_hashid
2022-06-07 16:04:49 normalization >     from input_data
2022-06-07 16:04:49 normalization > ),
2022-06-07 16:04:49 normalization > dedup_data as (
2022-06-07 16:04:49 normalization >     select
2022-06-07 16:04:49 normalization >         -- we need to ensure de-duplicated rows for merge/update queries
2022-06-07 16:04:49 normalization >         -- additionally, we generate a unique key for the scd table
2022-06-07 16:04:49 normalization >         row_number() over (
2022-06-07 16:04:49 normalization >             partition by
2022-06-07 16:04:49 normalization >                 _airbyte_unique_key,
2022-06-07 16:04:49 normalization >                 _airbyte_start_at,
2022-06-07 16:04:49 normalization >                 _airbyte_emitted_at, cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > )
2022-06-07 16:04:49 normalization >             order by _airbyte_active_row desc, _airbyte_ab_id
2022-06-07 16:04:49 normalization >         ) as _airbyte_row_num,
2022-06-07 16:04:49 normalization >         to_hex(md5(cast(concat(coalesce(cast(_airbyte_unique_key as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_airbyte_start_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_airbyte_emitted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), '')) as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ))) as _airbyte_unique_key_scd,
2022-06-07 16:04:49 normalization >         scd_data.*
2022-06-07 16:04:49 normalization >     from scd_data
2022-06-07 16:04:49 normalization > )
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     _airbyte_unique_key,
2022-06-07 16:04:49 normalization >     _airbyte_unique_key_scd,
2022-06-07 16:04:49 normalization >     x,
2022-06-07 16:04:49 normalization >     y,
2022-06-07 16:04:49 normalization >     z,
2022-06-07 16:04:49 normalization >     id,
2022-06-07 16:04:49 normalization >     time,
2022-06-07 16:04:49 normalization >     round,
2022-06-07 16:04:49 normalization >     missplay_id,
2022-06-07 16:04:49 normalization >     coach_match_id,
2022-06-07 16:04:49 normalization >     _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >     coach_player_id,
2022-06-07 16:04:49 normalization >     _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >     _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >     _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >     _airbyte_start_at,
2022-06-07 16:04:49 normalization >     _airbyte_end_at,
2022-06-07 16:04:49 normalization >     _airbyte_active_row,
2022-06-07 16:04:49 normalization >     _airbyte_ab_id,
2022-06-07 16:04:49 normalization >     _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at,
2022-06-07 16:04:49 normalization >     _airbyte_coach_match_missplays_in_rounds_hashid
2022-06-07 16:04:49 normalization > from dedup_data where _airbyte_row_num = 1
2022-06-07 16:04:49 normalization >   );
2022-06-07 16:04:49 normalization >   
2022-06-07 16:04:49 normalization > 16:04:29.514775 [info ] [Thread-7  ]: 16:04:29 + `segment-351212`.ggpredict_airbyte.`challenge_weapons_scd`._airbyte_ab_id does not exist yet. The table will be created or rebuilt with dbt.full_refresh
2022-06-07 16:04:49 normalization > 16:04:29.515023 [debug] [Thread-1  ]: On model.airbyte_utils.challenge_types_scd: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.challenge_types_scd"} */
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >   create or replace table `segment-351212`.ggpredict_airbyte.`challenge_types_scd`
2022-06-07 16:04:49 normalization >   partition by range_bucket(
2022-06-07 16:04:49 normalization >             _airbyte_active_row,
2022-06-07 16:04:49 normalization >             generate_array(0, 1, 1)
2022-06-07 16:04:49 normalization >         )
2022-06-07 16:04:49 normalization >   cluster by _airbyte_unique_key_scd, _airbyte_emitted_at
2022-06-07 16:04:49 normalization >   OPTIONS()
2022-06-07 16:04:49 normalization >   as (
2022-06-07 16:04:49 normalization >     
2022-06-07 16:04:49 normalization > -- depends_on: ref('challenge_types_stg')
2022-06-07 16:04:49 normalization > with
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > input_data as (
2022-06-07 16:04:49 normalization >     select *
2022-06-07 16:04:49 normalization >     from `segment-351212`._airbyte_ggpredict_airbyte.`challenge_types_stg`
2022-06-07 16:04:49 normalization >     -- challenge_types from `segment-351212`.ggpredict_airbyte._airbyte_raw_challenge_types
2022-06-07 16:04:49 normalization > ),
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > scd_data as (
2022-06-07 16:04:49 normalization >     -- SQL model to build a Type 2 Slowly Changing Dimension (SCD) table for each record identified by their primary key
2022-06-07 16:04:49 normalization >     select
2022-06-07 16:04:49 normalization >       to_hex(md5(cast(concat(coalesce(cast(id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), '')) as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ))) as _airbyte_unique_key,
2022-06-07 16:04:49 normalization >       id,
2022-06-07 16:04:49 normalization >       name,
2022-06-07 16:04:49 normalization >       _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >       _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >       _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >       _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >       _ab_cdc_updated_at as _airbyte_start_at,
2022-06-07 16:04:49 normalization >       lag(_ab_cdc_updated_at) over (
2022-06-07 16:04:49 normalization >         partition by cast(id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > )
2022-06-07 16:04:49 normalization >         order by
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at is null asc,
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at desc,
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at desc,
2022-06-07 16:04:49 normalization >             _ab_cdc_log_pos desc,
2022-06-07 16:04:49 normalization >             _airbyte_emitted_at desc
2022-06-07 16:04:49 normalization >       ) as _airbyte_end_at,
2022-06-07 16:04:49 normalization >       case when row_number() over (
2022-06-07 16:04:49 normalization >         partition by cast(id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > )
2022-06-07 16:04:49 normalization >         order by
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at is null asc,
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at desc,
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at desc,
2022-06-07 16:04:49 normalization >             _ab_cdc_log_pos desc,
2022-06-07 16:04:49 normalization >             _airbyte_emitted_at desc
2022-06-07 16:04:49 normalization >       ) = 1 and _ab_cdc_deleted_at is null then 1 else 0 end as _airbyte_active_row,
2022-06-07 16:04:49 normalization >       _airbyte_ab_id,
2022-06-07 16:04:49 normalization >       _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >       _airbyte_challenge_types_hashid
2022-06-07 16:04:49 normalization >     from input_data
2022-06-07 16:04:49 normalization > ),
2022-06-07 16:04:49 normalization > dedup_data as (
2022-06-07 16:04:49 normalization >     select
2022-06-07 16:04:49 normalization >         -- we need to ensure de-duplicated rows for merge/update queries
2022-06-07 16:04:49 normalization >         -- additionally, we generate a unique key for the scd table
2022-06-07 16:04:49 normalization >         row_number() over (
2022-06-07 16:04:49 normalization >             partition by
2022-06-07 16:04:49 normalization >                 _airbyte_unique_key,
2022-06-07 16:04:49 normalization >                 _airbyte_start_at,
2022-06-07 16:04:49 normalization >                 _airbyte_emitted_at, cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > )
2022-06-07 16:04:49 normalization >             order by _airbyte_active_row desc, _airbyte_ab_id
2022-06-07 16:04:49 normalization >         ) as _airbyte_row_num,
2022-06-07 16:04:49 normalization >         to_hex(md5(cast(concat(coalesce(cast(_airbyte_unique_key as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_airbyte_start_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_airbyte_emitted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), '')) as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ))) as _airbyte_unique_key_scd,
2022-06-07 16:04:49 normalization >         scd_data.*
2022-06-07 16:04:49 normalization >     from scd_data
2022-06-07 16:04:49 normalization > )
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     _airbyte_unique_key,
2022-06-07 16:04:49 normalization >     _airbyte_unique_key_scd,
2022-06-07 16:04:49 normalization >     id,
2022-06-07 16:04:49 normalization >     name,
2022-06-07 16:04:49 normalization >     _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >     _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >     _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >     _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >     _airbyte_start_at,
2022-06-07 16:04:49 normalization >     _airbyte_end_at,
2022-06-07 16:04:49 normalization >     _airbyte_active_row,
2022-06-07 16:04:49 normalization >     _airbyte_ab_id,
2022-06-07 16:04:49 normalization >     _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at,
2022-06-07 16:04:49 normalization >     _airbyte_challenge_types_hashid
2022-06-07 16:04:49 normalization > from dedup_data where _airbyte_row_num = 1
2022-06-07 16:04:49 normalization >   );
2022-06-07 16:04:49 normalization >   
2022-06-07 16:04:49 normalization > 16:04:29.525668 [debug] [Thread-7  ]: Writing runtime SQL for node "model.airbyte_utils.challenge_weapons_scd"
2022-06-07 16:04:49 normalization > 16:04:29.528530 [debug] [Thread-7  ]: On model.airbyte_utils.challenge_weapons_scd: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.challenge_weapons_scd"} */
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >   create or replace table `segment-351212`.ggpredict_airbyte.`challenge_weapons_scd`
2022-06-07 16:04:49 normalization >   partition by range_bucket(
2022-06-07 16:04:49 normalization >             _airbyte_active_row,
2022-06-07 16:04:49 normalization >             generate_array(0, 1, 1)
2022-06-07 16:04:49 normalization >         )
2022-06-07 16:04:49 normalization >   cluster by _airbyte_unique_key_scd, _airbyte_emitted_at
2022-06-07 16:04:49 normalization >   OPTIONS()
2022-06-07 16:04:49 normalization >   as (
2022-06-07 16:04:49 normalization >     
2022-06-07 16:04:49 normalization > -- depends_on: ref('challenge_weapons_stg')
2022-06-07 16:04:49 normalization > with
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > input_data as (
2022-06-07 16:04:49 normalization >     select *
2022-06-07 16:04:49 normalization >     from `segment-351212`._airbyte_ggpredict_airbyte.`challenge_weapons_stg`
2022-06-07 16:04:49 normalization >     -- challenge_weapons from `segment-351212`.ggpredict_airbyte._airbyte_raw_challenge_weapons
2022-06-07 16:04:49 normalization > ),
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > scd_data as (
2022-06-07 16:04:49 normalization >     -- SQL model to build a Type 2 Slowly Changing Dimension (SCD) table for each record identified by their primary key
2022-06-07 16:04:49 normalization >     select
2022-06-07 16:04:49 normalization >       to_hex(md5(cast(concat(coalesce(cast(challenge_id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(weapon_id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), '')) as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ))) as _airbyte_unique_key,
2022-06-07 16:04:49 normalization >       weapon_id,
2022-06-07 16:04:49 normalization >       challenge_id,
2022-06-07 16:04:49 normalization >       _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >       _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >       _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >       _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >       _ab_cdc_updated_at as _airbyte_start_at,
2022-06-07 16:04:49 normalization >       lag(_ab_cdc_updated_at) over (
2022-06-07 16:04:49 normalization >         partition by cast(challenge_id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), cast(weapon_id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > )
2022-06-07 16:04:49 normalization >         order by
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at is null asc,
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at desc,
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at desc,
2022-06-07 16:04:49 normalization >             _ab_cdc_log_pos desc,
2022-06-07 16:04:49 normalization >             _airbyte_emitted_at desc
2022-06-07 16:04:49 normalization >       ) as _airbyte_end_at,
2022-06-07 16:04:49 normalization >       case when row_number() over (
2022-06-07 16:04:49 normalization >         partition by cast(challenge_id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), cast(weapon_id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > )
2022-06-07 16:04:49 normalization >         order by
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at is null asc,
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at desc,
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at desc,
2022-06-07 16:04:49 normalization >             _ab_cdc_log_pos desc,
2022-06-07 16:04:49 normalization >             _airbyte_emitted_at desc
2022-06-07 16:04:49 normalization >       ) = 1 and _ab_cdc_deleted_at is null then 1 else 0 end as _airbyte_active_row,
2022-06-07 16:04:49 normalization >       _airbyte_ab_id,
2022-06-07 16:04:49 normalization >       _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >       _airbyte_challenge_weapons_hashid
2022-06-07 16:04:49 normalization >     from input_data
2022-06-07 16:04:49 normalization > ),
2022-06-07 16:04:49 normalization > dedup_data as (
2022-06-07 16:04:49 normalization >     select
2022-06-07 16:04:49 normalization >         -- we need to ensure de-duplicated rows for merge/update queries
2022-06-07 16:04:49 normalization >         -- additionally, we generate a unique key for the scd table
2022-06-07 16:04:49 normalization >         row_number() over (
2022-06-07 16:04:49 normalization >             partition by
2022-06-07 16:04:49 normalization >                 _airbyte_unique_key,
2022-06-07 16:04:49 normalization >                 _airbyte_start_at,
2022-06-07 16:04:49 normalization >                 _airbyte_emitted_at, cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > )
2022-06-07 16:04:49 normalization >             order by _airbyte_active_row desc, _airbyte_ab_id
2022-06-07 16:04:49 normalization >         ) as _airbyte_row_num,
2022-06-07 16:04:49 normalization >         to_hex(md5(cast(concat(coalesce(cast(_airbyte_unique_key as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_airbyte_start_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_airbyte_emitted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), '')) as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ))) as _airbyte_unique_key_scd,
2022-06-07 16:04:49 normalization >         scd_data.*
2022-06-07 16:04:49 normalization >     from scd_data
2022-06-07 16:04:49 normalization > )
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     _airbyte_unique_key,
2022-06-07 16:04:49 normalization >     _airbyte_unique_key_scd,
2022-06-07 16:04:49 normalization >     weapon_id,
2022-06-07 16:04:49 normalization >     challenge_id,
2022-06-07 16:04:49 normalization >     _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >     _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >     _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >     _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >     _airbyte_start_at,
2022-06-07 16:04:49 normalization >     _airbyte_end_at,
2022-06-07 16:04:49 normalization >     _airbyte_active_row,
2022-06-07 16:04:49 normalization >     _airbyte_ab_id,
2022-06-07 16:04:49 normalization >     _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at,
2022-06-07 16:04:49 normalization >     _airbyte_challenge_weapons_hashid
2022-06-07 16:04:49 normalization > from dedup_data where _airbyte_row_num = 1
2022-06-07 16:04:49 normalization >   );
2022-06-07 16:04:49 normalization >   
2022-06-07 16:04:49 normalization > 16:04:29.640956 [debug] [Thread-5  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:29.642365 [info ] [Thread-5  ]: 26 of 78 OK created view model _airbyte_ggpredict_airbyte.users_stg..................................................... [OK in 0.86s]
2022-06-07 16:04:49 normalization > 16:04:29.643318 [debug] [Thread-5  ]: Finished running node model.airbyte_utils.users_stg
2022-06-07 16:04:49 normalization > 16:04:29.643902 [debug] [Thread-5  ]: Began running node model.airbyte_utils.challenge_maps_scd
2022-06-07 16:04:49 normalization > 16:04:29.645248 [info ] [Thread-5  ]: 34 of 78 START incremental model ggpredict_airbyte.challenge_maps_scd................................................... [RUN]
2022-06-07 16:04:49 normalization > 16:04:29.646706 [debug] [Thread-5  ]: Acquiring new bigquery connection "model.airbyte_utils.challenge_maps_scd"
2022-06-07 16:04:49 normalization > 16:04:29.647136 [debug] [Thread-5  ]: Began compiling node model.airbyte_utils.challenge_maps_scd
2022-06-07 16:04:49 normalization > 16:04:29.647536 [debug] [Thread-5  ]: Compiling model.airbyte_utils.challenge_maps_scd
2022-06-07 16:04:49 normalization > 16:04:29.672979 [debug] [Thread-5  ]: Writing injected SQL for node "model.airbyte_utils.challenge_maps_scd"
2022-06-07 16:04:49 normalization > 16:04:29.673306 [debug] [Thread-5  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:29.673492 [debug] [Thread-5  ]: Began executing node model.airbyte_utils.challenge_maps_scd
2022-06-07 16:04:49 normalization > 16:04:29.676877 [debug] [Thread-5  ]: Opening a new connection, currently in state closed
2022-06-07 16:04:49 normalization > 16:04:29.761537 [debug] [Thread-6  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:29.763022 [info ] [Thread-6  ]: 24 of 78 OK created view model _airbyte_ggpredict_airbyte.user_training_v2_streaks_stg.................................. [OK in 1.10s]
2022-06-07 16:04:49 normalization > 16:04:29.764938 [debug] [Thread-6  ]: Finished running node model.airbyte_utils.user_training_v2_streaks_stg
2022-06-07 16:04:49 normalization > 16:04:29.769715 [debug] [Thread-6  ]: Began running node model.airbyte_utils.coach_match_sub_stats_scd
2022-06-07 16:04:49 normalization > 16:04:29.772857 [info ] [Thread-6  ]: 35 of 78 START incremental model ggpredict_airbyte.coach_match_sub_stats_scd............................................ [RUN]
2022-06-07 16:04:49 normalization > 16:04:29.775184 [debug] [Thread-6  ]: Acquiring new bigquery connection "model.airbyte_utils.coach_match_sub_stats_scd"
2022-06-07 16:04:49 normalization > 16:04:29.781785 [debug] [Thread-6  ]: Began compiling node model.airbyte_utils.coach_match_sub_stats_scd
2022-06-07 16:04:49 normalization > 16:04:29.782453 [debug] [Thread-6  ]: Compiling model.airbyte_utils.coach_match_sub_stats_scd
2022-06-07 16:04:49 normalization > 16:04:29.813734 [debug] [Thread-6  ]: Writing injected SQL for node "model.airbyte_utils.coach_match_sub_stats_scd"
2022-06-07 16:04:49 normalization > 16:04:29.819925 [debug] [Thread-6  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:29.820479 [debug] [Thread-6  ]: Began executing node model.airbyte_utils.coach_match_sub_stats_scd
2022-06-07 16:04:49 normalization > 16:04:29.825159 [debug] [Thread-6  ]: Opening a new connection, currently in state closed
2022-06-07 16:04:49 normalization > 16:04:29.830378 [debug] [Thread-3  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:29.831821 [info ] [Thread-3  ]: 25 of 78 OK created view model _airbyte_ggpredict_airbyte.user_training_v2_unit_tags_stg................................ [OK in 1.16s]
2022-06-07 16:04:49 normalization > 16:04:29.832761 [debug] [Thread-3  ]: Finished running node model.airbyte_utils.user_training_v2_unit_tags_stg
2022-06-07 16:04:49 normalization > 16:04:29.833317 [debug] [Thread-3  ]: Began running node model.airbyte_utils.coach_players_scd
2022-06-07 16:04:49 normalization > 16:04:29.834397 [info ] [Thread-3  ]: 36 of 78 START incremental model ggpredict_airbyte.coach_players_scd.................................................... [RUN]
2022-06-07 16:04:49 normalization > 16:04:29.835748 [debug] [Thread-3  ]: Acquiring new bigquery connection "model.airbyte_utils.coach_players_scd"
2022-06-07 16:04:49 normalization > 16:04:29.837359 [debug] [Thread-3  ]: Began compiling node model.airbyte_utils.coach_players_scd
2022-06-07 16:04:49 normalization > 16:04:29.837559 [debug] [Thread-3  ]: Compiling model.airbyte_utils.coach_players_scd
2022-06-07 16:04:49 normalization > 16:04:29.862108 [debug] [Thread-3  ]: Writing injected SQL for node "model.airbyte_utils.coach_players_scd"
2022-06-07 16:04:49 normalization > 16:04:29.862549 [debug] [Thread-3  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:29.862729 [debug] [Thread-3  ]: Began executing node model.airbyte_utils.coach_players_scd
2022-06-07 16:04:49 normalization > 16:04:29.866277 [debug] [Thread-3  ]: Opening a new connection, currently in state closed
2022-06-07 16:04:49 normalization > 16:04:29.883413 [debug] [Thread-5  ]: BigQuery adapter: get_columns_in_relation error: 404 GET https://bigquery.googleapis.com/bigquery/v2/projects/segment-351212/datasets/ggpredict_airbyte/tables/challenge_maps_scd?prettyPrint=false: Not found: Table segment-351212:ggpredict_airbyte.challenge_maps_scd
2022-06-07 16:04:49 normalization > 16:04:29.886501 [info ] [Thread-5  ]: 16:04:29 + `segment-351212`.ggpredict_airbyte.`challenge_maps_scd`._airbyte_ab_id does not exist yet. The table will be created or rebuilt with dbt.full_refresh
2022-06-07 16:04:49 normalization > 16:04:29.894067 [debug] [Thread-5  ]: Writing runtime SQL for node "model.airbyte_utils.challenge_maps_scd"
2022-06-07 16:04:49 normalization > 16:04:29.894415 [debug] [Thread-5  ]: On model.airbyte_utils.challenge_maps_scd: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.challenge_maps_scd"} */
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >   create or replace table `segment-351212`.ggpredict_airbyte.`challenge_maps_scd`
2022-06-07 16:04:49 normalization >   partition by range_bucket(
2022-06-07 16:04:49 normalization >             _airbyte_active_row,
2022-06-07 16:04:49 normalization >             generate_array(0, 1, 1)
2022-06-07 16:04:49 normalization >         )
2022-06-07 16:04:49 normalization >   cluster by _airbyte_unique_key_scd, _airbyte_emitted_at
2022-06-07 16:04:49 normalization >   OPTIONS()
2022-06-07 16:04:49 normalization >   as (
2022-06-07 16:04:49 normalization >     
2022-06-07 16:04:49 normalization > -- depends_on: ref('challenge_maps_stg')
2022-06-07 16:04:49 normalization > with
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > input_data as (
2022-06-07 16:04:49 normalization >     select *
2022-06-07 16:04:49 normalization >     from `segment-351212`._airbyte_ggpredict_airbyte.`challenge_maps_stg`
2022-06-07 16:04:49 normalization >     -- challenge_maps from `segment-351212`.ggpredict_airbyte._airbyte_raw_challenge_maps
2022-06-07 16:04:49 normalization > ),
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > scd_data as (
2022-06-07 16:04:49 normalization >     -- SQL model to build a Type 2 Slowly Changing Dimension (SCD) table for each record identified by their primary key
2022-06-07 16:04:49 normalization >     select
2022-06-07 16:04:49 normalization >       to_hex(md5(cast(concat(coalesce(cast(challenge_id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(map_id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), '')) as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ))) as _airbyte_unique_key,
2022-06-07 16:04:49 normalization >       map_id,
2022-06-07 16:04:49 normalization >       challenge_id,
2022-06-07 16:04:49 normalization >       _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >       _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >       _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >       _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >       _ab_cdc_updated_at as _airbyte_start_at,
2022-06-07 16:04:49 normalization >       lag(_ab_cdc_updated_at) over (
2022-06-07 16:04:49 normalization >         partition by cast(challenge_id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), cast(map_id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > )
2022-06-07 16:04:49 normalization >         order by
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at is null asc,
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at desc,
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at desc,
2022-06-07 16:04:49 normalization >             _ab_cdc_log_pos desc,
2022-06-07 16:04:49 normalization >             _airbyte_emitted_at desc
2022-06-07 16:04:49 normalization >       ) as _airbyte_end_at,
2022-06-07 16:04:49 normalization >       case when row_number() over (
2022-06-07 16:04:49 normalization >         partition by cast(challenge_id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), cast(map_id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > )
2022-06-07 16:04:49 normalization >         order by
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at is null asc,
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at desc,
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at desc,
2022-06-07 16:04:49 normalization >             _ab_cdc_log_pos desc,
2022-06-07 16:04:49 normalization >             _airbyte_emitted_at desc
2022-06-07 16:04:49 normalization >       ) = 1 and _ab_cdc_deleted_at is null then 1 else 0 end as _airbyte_active_row,
2022-06-07 16:04:49 normalization >       _airbyte_ab_id,
2022-06-07 16:04:49 normalization >       _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >       _airbyte_challenge_maps_hashid
2022-06-07 16:04:49 normalization >     from input_data
2022-06-07 16:04:49 normalization > ),
2022-06-07 16:04:49 normalization > dedup_data as (
2022-06-07 16:04:49 normalization >     select
2022-06-07 16:04:49 normalization >         -- we need to ensure de-duplicated rows for merge/update queries
2022-06-07 16:04:49 normalization >         -- additionally, we generate a unique key for the scd table
2022-06-07 16:04:49 normalization >         row_number() over (
2022-06-07 16:04:49 normalization >             partition by
2022-06-07 16:04:49 normalization >                 _airbyte_unique_key,
2022-06-07 16:04:49 normalization >                 _airbyte_start_at,
2022-06-07 16:04:49 normalization >                 _airbyte_emitted_at, cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > )
2022-06-07 16:04:49 normalization >             order by _airbyte_active_row desc, _airbyte_ab_id
2022-06-07 16:04:49 normalization >         ) as _airbyte_row_num,
2022-06-07 16:04:49 normalization >         to_hex(md5(cast(concat(coalesce(cast(_airbyte_unique_key as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_airbyte_start_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_airbyte_emitted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), '')) as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ))) as _airbyte_unique_key_scd,
2022-06-07 16:04:49 normalization >         scd_data.*
2022-06-07 16:04:49 normalization >     from scd_data
2022-06-07 16:04:49 normalization > )
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     _airbyte_unique_key,
2022-06-07 16:04:49 normalization >     _airbyte_unique_key_scd,
2022-06-07 16:04:49 normalization >     map_id,
2022-06-07 16:04:49 normalization >     challenge_id,
2022-06-07 16:04:49 normalization >     _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >     _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >     _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >     _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >     _airbyte_start_at,
2022-06-07 16:04:49 normalization >     _airbyte_end_at,
2022-06-07 16:04:49 normalization >     _airbyte_active_row,
2022-06-07 16:04:49 normalization >     _airbyte_ab_id,
2022-06-07 16:04:49 normalization >     _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at,
2022-06-07 16:04:49 normalization >     _airbyte_challenge_maps_hashid
2022-06-07 16:04:49 normalization > from dedup_data where _airbyte_row_num = 1
2022-06-07 16:04:49 normalization >   );
2022-06-07 16:04:49 normalization >   
2022-06-07 16:04:49 normalization > 16:04:30.036673 [debug] [Thread-3  ]: BigQuery adapter: get_columns_in_relation error: 404 GET https://bigquery.googleapis.com/bigquery/v2/projects/segment-351212/datasets/ggpredict_airbyte/tables/coach_players_scd?prettyPrint=false: Not found: Table segment-351212:ggpredict_airbyte.coach_players_scd
2022-06-07 16:04:49 normalization > 16:04:30.043063 [info ] [Thread-3  ]: 16:04:30 + `segment-351212`.ggpredict_airbyte.`coach_players_scd`._airbyte_ab_id does not exist yet. The table will be created or rebuilt with dbt.full_refresh
2022-06-07 16:04:49 normalization > 16:04:30.050401 [debug] [Thread-3  ]: Writing runtime SQL for node "model.airbyte_utils.coach_players_scd"
2022-06-07 16:04:49 normalization > 16:04:30.050792 [debug] [Thread-3  ]: On model.airbyte_utils.coach_players_scd: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.coach_players_scd"} */
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >   create or replace table `segment-351212`.ggpredict_airbyte.`coach_players_scd`
2022-06-07 16:04:49 normalization >   partition by range_bucket(
2022-06-07 16:04:49 normalization >             _airbyte_active_row,
2022-06-07 16:04:49 normalization >             generate_array(0, 1, 1)
2022-06-07 16:04:49 normalization >         )
2022-06-07 16:04:49 normalization >   cluster by _airbyte_unique_key_scd, _airbyte_emitted_at
2022-06-07 16:04:49 normalization >   OPTIONS()
2022-06-07 16:04:49 normalization >   as (
2022-06-07 16:04:49 normalization >     
2022-06-07 16:04:49 normalization > -- depends_on: ref('coach_players_stg')
2022-06-07 16:04:49 normalization > with
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > input_data as (
2022-06-07 16:04:49 normalization >     select *
2022-06-07 16:04:49 normalization >     from `segment-351212`._airbyte_ggpredict_airbyte.`coach_players_stg`
2022-06-07 16:04:49 normalization >     -- coach_players from `segment-351212`.ggpredict_airbyte._airbyte_raw_coach_players
2022-06-07 16:04:49 normalization > ),
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > scd_data as (
2022-06-07 16:04:49 normalization >     -- SQL model to build a Type 2 Slowly Changing Dimension (SCD) table for each record identified by their primary key
2022-06-07 16:04:49 normalization >     select
2022-06-07 16:04:49 normalization >       to_hex(md5(cast(concat(coalesce(cast(id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), '')) as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ))) as _airbyte_unique_key,
2022-06-07 16:04:49 normalization >       id,
2022-06-07 16:04:49 normalization >       steam_id_64,
2022-06-07 16:04:49 normalization >       current_rank,
2022-06-07 16:04:49 normalization >       _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >       _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >       _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >       _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >       _ab_cdc_updated_at as _airbyte_start_at,
2022-06-07 16:04:49 normalization >       lag(_ab_cdc_updated_at) over (
2022-06-07 16:04:49 normalization >         partition by cast(id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > )
2022-06-07 16:04:49 normalization >         order by
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at is null asc,
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at desc,
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at desc,
2022-06-07 16:04:49 normalization >             _ab_cdc_log_pos desc,
2022-06-07 16:04:49 normalization >             _airbyte_emitted_at desc
2022-06-07 16:04:49 normalization >       ) as _airbyte_end_at,
2022-06-07 16:04:49 normalization >       case when row_number() over (
2022-06-07 16:04:49 normalization >         partition by cast(id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > )
2022-06-07 16:04:49 normalization >         order by
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at is null asc,
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at desc,
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at desc,
2022-06-07 16:04:49 normalization >             _ab_cdc_log_pos desc,
2022-06-07 16:04:49 normalization >             _airbyte_emitted_at desc
2022-06-07 16:04:49 normalization >       ) = 1 and _ab_cdc_deleted_at is null then 1 else 0 end as _airbyte_active_row,
2022-06-07 16:04:49 normalization >       _airbyte_ab_id,
2022-06-07 16:04:49 normalization >       _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >       _airbyte_coach_players_hashid
2022-06-07 16:04:49 normalization >     from input_data
2022-06-07 16:04:49 normalization > ),
2022-06-07 16:04:49 normalization > dedup_data as (
2022-06-07 16:04:49 normalization >     select
2022-06-07 16:04:49 normalization >         -- we need to ensure de-duplicated rows for merge/update queries
2022-06-07 16:04:49 normalization >         -- additionally, we generate a unique key for the scd table
2022-06-07 16:04:49 normalization >         row_number() over (
2022-06-07 16:04:49 normalization >             partition by
2022-06-07 16:04:49 normalization >                 _airbyte_unique_key,
2022-06-07 16:04:49 normalization >                 _airbyte_start_at,
2022-06-07 16:04:49 normalization >                 _airbyte_emitted_at, cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > )
2022-06-07 16:04:49 normalization >             order by _airbyte_active_row desc, _airbyte_ab_id
2022-06-07 16:04:49 normalization >         ) as _airbyte_row_num,
2022-06-07 16:04:49 normalization >         to_hex(md5(cast(concat(coalesce(cast(_airbyte_unique_key as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_airbyte_start_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_airbyte_emitted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), '')) as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ))) as _airbyte_unique_key_scd,
2022-06-07 16:04:49 normalization >         scd_data.*
2022-06-07 16:04:49 normalization >     from scd_data
2022-06-07 16:04:49 normalization > )
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     _airbyte_unique_key,
2022-06-07 16:04:49 normalization >     _airbyte_unique_key_scd,
2022-06-07 16:04:49 normalization >     id,
2022-06-07 16:04:49 normalization >     steam_id_64,
2022-06-07 16:04:49 normalization >     current_rank,
2022-06-07 16:04:49 normalization >     _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >     _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >     _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >     _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >     _airbyte_start_at,
2022-06-07 16:04:49 normalization >     _airbyte_end_at,
2022-06-07 16:04:49 normalization >     _airbyte_active_row,
2022-06-07 16:04:49 normalization >     _airbyte_ab_id,
2022-06-07 16:04:49 normalization >     _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at,
2022-06-07 16:04:49 normalization >     _airbyte_coach_players_hashid
2022-06-07 16:04:49 normalization > from dedup_data where _airbyte_row_num = 1
2022-06-07 16:04:49 normalization >   );
2022-06-07 16:04:49 normalization >   
2022-06-07 16:04:49 normalization > 16:04:30.128314 [debug] [Thread-6  ]: BigQuery adapter: get_columns_in_relation error: 404 GET https://bigquery.googleapis.com/bigquery/v2/projects/segment-351212/datasets/ggpredict_airbyte/tables/coach_match_sub_stats_scd?prettyPrint=false: Not found: Table segment-351212:ggpredict_airbyte.coach_match_sub_stats_scd
2022-06-07 16:04:49 normalization > 16:04:30.131100 [info ] [Thread-6  ]: 16:04:30 + `segment-351212`.ggpredict_airbyte.`coach_match_sub_stats_scd`._airbyte_ab_id does not exist yet. The table will be created or rebuilt with dbt.full_refresh
2022-06-07 16:04:49 normalization > 16:04:30.136964 [debug] [Thread-6  ]: Writing runtime SQL for node "model.airbyte_utils.coach_match_sub_stats_scd"
2022-06-07 16:04:49 normalization > 16:04:30.137409 [debug] [Thread-6  ]: On model.airbyte_utils.coach_match_sub_stats_scd: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.coach_match_sub_stats_scd"} */
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >   create or replace table `segment-351212`.ggpredict_airbyte.`coach_match_sub_stats_scd`
2022-06-07 16:04:49 normalization >   partition by range_bucket(
2022-06-07 16:04:49 normalization >             _airbyte_active_row,
2022-06-07 16:04:49 normalization >             generate_array(0, 1, 1)
2022-06-07 16:04:49 normalization >         )
2022-06-07 16:04:49 normalization >   cluster by _airbyte_unique_key_scd, _airbyte_emitted_at
2022-06-07 16:04:49 normalization >   OPTIONS()
2022-06-07 16:04:49 normalization >   as (
2022-06-07 16:04:49 normalization >     
2022-06-07 16:04:49 normalization > -- depends_on: ref('coach_match_sub_stats_stg')
2022-06-07 16:04:49 normalization > with
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > input_data as (
2022-06-07 16:04:49 normalization >     select *
2022-06-07 16:04:49 normalization >     from `segment-351212`._airbyte_ggpredict_airbyte.`coach_match_sub_stats_stg`
2022-06-07 16:04:49 normalization >     -- coach_match_sub_stats from `segment-351212`.ggpredict_airbyte._airbyte_raw_coach_match_sub_stats
2022-06-07 16:04:49 normalization > ),
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > scd_data as (
2022-06-07 16:04:49 normalization >     -- SQL model to build a Type 2 Slowly Changing Dimension (SCD) table for each record identified by their primary key
2022-06-07 16:04:49 normalization >     select
2022-06-07 16:04:49 normalization >       to_hex(md5(cast(concat(coalesce(cast(coach_match_id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(coach_player_id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(sub_stat as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), '')) as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ))) as _airbyte_unique_key,
2022-06-07 16:04:49 normalization >       score,
2022-06-07 16:04:49 normalization >       sub_stat,
2022-06-07 16:04:49 normalization >       coach_match_id,
2022-06-07 16:04:49 normalization >       _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >       coach_player_id,
2022-06-07 16:04:49 normalization >       _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >       _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >       _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >       _ab_cdc_updated_at as _airbyte_start_at,
2022-06-07 16:04:49 normalization >       lag(_ab_cdc_updated_at) over (
2022-06-07 16:04:49 normalization >         partition by cast(coach_match_id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), cast(coach_player_id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), sub_stat
2022-06-07 16:04:49 normalization >         order by
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at is null asc,
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at desc,
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at desc,
2022-06-07 16:04:49 normalization >             _ab_cdc_log_pos desc,
2022-06-07 16:04:49 normalization >             _airbyte_emitted_at desc
2022-06-07 16:04:49 normalization >       ) as _airbyte_end_at,
2022-06-07 16:04:49 normalization >       case when row_number() over (
2022-06-07 16:04:49 normalization >         partition by cast(coach_match_id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), cast(coach_player_id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), sub_stat
2022-06-07 16:04:49 normalization >         order by
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at is null asc,
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at desc,
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at desc,
2022-06-07 16:04:49 normalization >             _ab_cdc_log_pos desc,
2022-06-07 16:04:49 normalization >             _airbyte_emitted_at desc
2022-06-07 16:04:49 normalization >       ) = 1 and _ab_cdc_deleted_at is null then 1 else 0 end as _airbyte_active_row,
2022-06-07 16:04:49 normalization >       _airbyte_ab_id,
2022-06-07 16:04:49 normalization >       _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >       _airbyte_coach_match_sub_stats_hashid
2022-06-07 16:04:49 normalization >     from input_data
2022-06-07 16:04:49 normalization > ),
2022-06-07 16:04:49 normalization > dedup_data as (
2022-06-07 16:04:49 normalization >     select
2022-06-07 16:04:49 normalization >         -- we need to ensure de-duplicated rows for merge/update queries
2022-06-07 16:04:49 normalization >         -- additionally, we generate a unique key for the scd table
2022-06-07 16:04:49 normalization >         row_number() over (
2022-06-07 16:04:49 normalization >             partition by
2022-06-07 16:04:49 normalization >                 _airbyte_unique_key,
2022-06-07 16:04:49 normalization >                 _airbyte_start_at,
2022-06-07 16:04:49 normalization >                 _airbyte_emitted_at, cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > )
2022-06-07 16:04:49 normalization >             order by _airbyte_active_row desc, _airbyte_ab_id
2022-06-07 16:04:49 normalization >         ) as _airbyte_row_num,
2022-06-07 16:04:49 normalization >         to_hex(md5(cast(concat(coalesce(cast(_airbyte_unique_key as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_airbyte_start_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_airbyte_emitted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), '')) as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ))) as _airbyte_unique_key_scd,
2022-06-07 16:04:49 normalization >         scd_data.*
2022-06-07 16:04:49 normalization >     from scd_data
2022-06-07 16:04:49 normalization > )
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     _airbyte_unique_key,
2022-06-07 16:04:49 normalization >     _airbyte_unique_key_scd,
2022-06-07 16:04:49 normalization >     score,
2022-06-07 16:04:49 normalization >     sub_stat,
2022-06-07 16:04:49 normalization >     coach_match_id,
2022-06-07 16:04:49 normalization >     _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >     coach_player_id,
2022-06-07 16:04:49 normalization >     _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >     _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >     _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >     _airbyte_start_at,
2022-06-07 16:04:49 normalization >     _airbyte_end_at,
2022-06-07 16:04:49 normalization >     _airbyte_active_row,
2022-06-07 16:04:49 normalization >     _airbyte_ab_id,
2022-06-07 16:04:49 normalization >     _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at,
2022-06-07 16:04:49 normalization >     _airbyte_coach_match_sub_stats_hashid
2022-06-07 16:04:49 normalization > from dedup_data where _airbyte_row_num = 1
2022-06-07 16:04:49 normalization >   );
2022-06-07 16:04:49 normalization >   
2022-06-07 16:04:49 normalization > 16:04:31.606054 [debug] [Thread-2  ]: On model.airbyte_utils.coach_match_sub_stats_v2_scd: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.coach_match_sub_stats_v2_scd"} */
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >         drop view _airbyte_ggpredict_airbyte.coach_match_sub_stats_v2_stg
2022-06-07 16:04:49 normalization >       
2022-06-07 16:04:49 normalization > 16:04:31.606868 [debug] [Thread-4  ]: On model.airbyte_utils.coach_match_missplays_in_rounds_scd: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.coach_match_missplays_in_rounds_scd"} */
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >         drop view _airbyte_ggpredict_airbyte.coach_match_missplays_in_rounds_stg
2022-06-07 16:04:49 normalization >       
2022-06-07 16:04:49 normalization > 16:04:31.842606 [debug] [Thread-7  ]: On model.airbyte_utils.challenge_weapons_scd: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.challenge_weapons_scd"} */
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >         drop view _airbyte_ggpredict_airbyte.challenge_weapons_stg
2022-06-07 16:04:49 normalization >       
2022-06-07 16:04:49 normalization > 16:04:31.916305 [debug] [Thread-8  ]: On model.airbyte_utils.coach_match_advanced_stats_scd: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.coach_match_advanced_stats_scd"} */
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >         drop view _airbyte_ggpredict_airbyte.coach_match_advanced_stats_stg
2022-06-07 16:04:49 normalization >       
2022-06-07 16:04:49 normalization > 16:04:31.930627 [debug] [Thread-5  ]: On model.airbyte_utils.challenge_maps_scd: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.challenge_maps_scd"} */
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >         drop view _airbyte_ggpredict_airbyte.challenge_maps_stg
2022-06-07 16:04:49 normalization >       
2022-06-07 16:04:49 normalization > 16:04:31.965319 [debug] [Thread-1  ]: On model.airbyte_utils.challenge_types_scd: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.challenge_types_scd"} */
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >         drop view _airbyte_ggpredict_airbyte.challenge_types_stg
2022-06-07 16:04:49 normalization >       
2022-06-07 16:04:49 normalization > 16:04:32.158380 [debug] [Thread-4  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:32.159767 [info ] [Thread-4  ]: 31 of 78 OK created incremental model ggpredict_airbyte.coach_match_missplays_in_rounds_scd............................. [CREATE TABLE (0.0 rows, 0 processed) in 3.01s]
2022-06-07 16:04:49 normalization > 16:04:32.160809 [debug] [Thread-4  ]: Finished running node model.airbyte_utils.coach_match_missplays_in_rounds_scd
2022-06-07 16:04:49 normalization > 16:04:32.161515 [debug] [Thread-4  ]: Began running node model.airbyte_utils.missplays_scd
2022-06-07 16:04:49 normalization > 16:04:32.162812 [info ] [Thread-4  ]: 37 of 78 START incremental model ggpredict_airbyte.missplays_scd........................................................ [RUN]
2022-06-07 16:04:49 normalization > 16:04:32.163938 [debug] [Thread-4  ]: Acquiring new bigquery connection "model.airbyte_utils.missplays_scd"
2022-06-07 16:04:49 normalization > 16:04:32.164176 [debug] [Thread-4  ]: Began compiling node model.airbyte_utils.missplays_scd
2022-06-07 16:04:49 normalization > 16:04:32.164366 [debug] [Thread-4  ]: Compiling model.airbyte_utils.missplays_scd
2022-06-07 16:04:49 normalization > 16:04:32.188051 [debug] [Thread-4  ]: Writing injected SQL for node "model.airbyte_utils.missplays_scd"
2022-06-07 16:04:49 normalization > 16:04:32.190038 [debug] [Thread-2  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:32.190812 [info ] [Thread-2  ]: 30 of 78 OK created incremental model ggpredict_airbyte.coach_match_sub_stats_v2_scd.................................... [CREATE TABLE (0.0 rows, 0 processed) in 3.11s]
2022-06-07 16:04:49 normalization > 16:04:32.191139 [debug] [Thread-4  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:32.191626 [debug] [Thread-2  ]: Finished running node model.airbyte_utils.coach_match_sub_stats_v2_scd
2022-06-07 16:04:49 normalization > 16:04:32.191820 [debug] [Thread-4  ]: Began executing node model.airbyte_utils.missplays_scd
2022-06-07 16:04:49 normalization > 16:04:32.192080 [debug] [Thread-2  ]: Began running node model.airbyte_utils.coach_matches_scd
2022-06-07 16:04:49 normalization > 16:04:32.196422 [debug] [Thread-4  ]: Opening a new connection, currently in state closed
2022-06-07 16:04:49 normalization > 16:04:32.196761 [info ] [Thread-2  ]: 38 of 78 START incremental model ggpredict_airbyte.coach_matches_scd.................................................... [RUN]
2022-06-07 16:04:49 normalization > 16:04:32.197684 [debug] [Thread-2  ]: Acquiring new bigquery connection "model.airbyte_utils.coach_matches_scd"
2022-06-07 16:04:49 normalization > 16:04:32.197918 [debug] [Thread-2  ]: Began compiling node model.airbyte_utils.coach_matches_scd
2022-06-07 16:04:49 normalization > 16:04:32.198144 [debug] [Thread-2  ]: Compiling model.airbyte_utils.coach_matches_scd
2022-06-07 16:04:49 normalization > 16:04:32.223497 [debug] [Thread-2  ]: Writing injected SQL for node "model.airbyte_utils.coach_matches_scd"
2022-06-07 16:04:49 normalization > 16:04:32.229411 [debug] [Thread-2  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:32.230929 [debug] [Thread-2  ]: Began executing node model.airbyte_utils.coach_matches_scd
2022-06-07 16:04:49 normalization > 16:04:32.346236 [debug] [Thread-2  ]: Opening a new connection, currently in state closed
2022-06-07 16:04:49 normalization > 16:04:32.417858 [debug] [Thread-3  ]: On model.airbyte_utils.coach_players_scd: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.coach_players_scd"} */
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >         drop view _airbyte_ggpredict_airbyte.coach_players_stg
2022-06-07 16:04:49 normalization >       
2022-06-07 16:04:49 normalization > 16:04:32.422264 [debug] [Thread-7  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:32.427148 [info ] [Thread-7  ]: 32 of 78 OK created incremental model ggpredict_airbyte.challenge_weapons_scd........................................... [CREATE TABLE (0.0 rows, 0 processed) in 3.27s]
2022-06-07 16:04:49 normalization > 16:04:32.435165 [debug] [Thread-7  ]: Finished running node model.airbyte_utils.challenge_weapons_scd
2022-06-07 16:04:49 normalization > 16:04:32.437284 [debug] [Thread-7  ]: Began running node model.airbyte_utils.user_challenges_scd
2022-06-07 16:04:49 normalization > 16:04:32.440797 [info ] [Thread-7  ]: 39 of 78 START incremental model ggpredict_airbyte.user_challenges_scd.................................................. [RUN]
2022-06-07 16:04:49 normalization > 16:04:32.442074 [debug] [Thread-7  ]: Acquiring new bigquery connection "model.airbyte_utils.user_challenges_scd"
2022-06-07 16:04:49 normalization > 16:04:32.442473 [debug] [Thread-7  ]: Began compiling node model.airbyte_utils.user_challenges_scd
2022-06-07 16:04:49 normalization > 16:04:32.442856 [debug] [Thread-7  ]: Compiling model.airbyte_utils.user_challenges_scd
2022-06-07 16:04:49 normalization > 16:04:32.478403 [debug] [Thread-7  ]: Writing injected SQL for node "model.airbyte_utils.user_challenges_scd"
2022-06-07 16:04:49 normalization > 16:04:32.483241 [debug] [Thread-7  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:32.484246 [debug] [Thread-7  ]: Began executing node model.airbyte_utils.user_challenges_scd
2022-06-07 16:04:49 normalization > 16:04:32.487779 [debug] [Thread-7  ]: Opening a new connection, currently in state closed
2022-06-07 16:04:49 normalization > 16:04:32.496681 [debug] [Thread-8  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:32.501536 [debug] [Thread-5  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:32.502360 [info ] [Thread-8  ]: 29 of 78 OK created incremental model ggpredict_airbyte.coach_match_advanced_stats_scd.................................. [CREATE TABLE (0.0 rows, 0 processed) in 3.54s]
2022-06-07 16:04:49 normalization > 16:04:32.505325 [info ] [Thread-5  ]: 34 of 78 OK created incremental model ggpredict_airbyte.challenge_maps_scd.............................................. [CREATE TABLE (0.0 rows, 0 processed) in 2.86s]
2022-06-07 16:04:49 normalization > 16:04:32.509222 [debug] [Thread-8  ]: Finished running node model.airbyte_utils.coach_match_advanced_stats_scd
2022-06-07 16:04:49 normalization > 16:04:32.511777 [debug] [Thread-5  ]: Finished running node model.airbyte_utils.challenge_maps_scd
2022-06-07 16:04:49 normalization > 16:04:32.512569 [debug] [Thread-6  ]: On model.airbyte_utils.coach_match_sub_stats_scd: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.coach_match_sub_stats_scd"} */
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >         drop view _airbyte_ggpredict_airbyte.coach_match_sub_stats_stg
2022-06-07 16:04:49 normalization >       
2022-06-07 16:04:49 normalization > 16:04:32.513165 [debug] [Thread-8  ]: Began running node model.airbyte_utils.user_server_stats_scd
2022-06-07 16:04:49 normalization > 16:04:32.514125 [debug] [Thread-5  ]: Began running node model.airbyte_utils.coach_match_lineups_scd
2022-06-07 16:04:49 normalization > 16:04:32.521117 [info ] [Thread-8  ]: 40 of 78 SKIP relation ggpredict_airbyte.user_server_stats_scd.......................................................... [SKIP]
2022-06-07 16:04:49 normalization > 16:04:32.521984 [info ] [Thread-5  ]: 41 of 78 SKIP relation ggpredict_airbyte.coach_match_lineups_scd........................................................ [SKIP]
2022-06-07 16:04:49 normalization > 16:04:32.522454 [debug] [Thread-4  ]: BigQuery adapter: get_columns_in_relation error: 404 GET https://bigquery.googleapis.com/bigquery/v2/projects/segment-351212/datasets/ggpredict_airbyte/tables/missplays_scd?prettyPrint=false: Not found: Table segment-351212:ggpredict_airbyte.missplays_scd
2022-06-07 16:04:49 normalization > 16:04:32.523726 [debug] [Thread-8  ]: Finished running node model.airbyte_utils.user_server_stats_scd
2022-06-07 16:04:49 normalization > 16:04:32.525311 [debug] [Thread-5  ]: Finished running node model.airbyte_utils.coach_match_lineups_scd
2022-06-07 16:04:49 normalization > 16:04:32.526696 [info ] [Thread-4  ]: 16:04:32 + `segment-351212`.ggpredict_airbyte.`missplays_scd`._airbyte_ab_id does not exist yet. The table will be created or rebuilt with dbt.full_refresh
2022-06-07 16:04:49 normalization > 16:04:32.527256 [debug] [Thread-8  ]: Began running node model.airbyte_utils.user_training_v2_level_segment_unit_start_sessions_scd
2022-06-07 16:04:49 normalization > 16:04:32.528214 [debug] [Thread-5  ]: Began running node model.airbyte_utils.user_server_weapon_stats_scd
2022-06-07 16:04:49 normalization > 16:04:32.533787 [debug] [Thread-4  ]: Writing runtime SQL for node "model.airbyte_utils.missplays_scd"
2022-06-07 16:04:49 normalization > 16:04:32.534508 [info ] [Thread-8  ]: 42 of 78 START incremental model ggpredict_airbyte.user_training_v2_level_segment_unit_start_sessions_scd............... [RUN]
2022-06-07 16:04:49 normalization > 16:04:32.538702 [debug] [Thread-1  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:32.539231 [info ] [Thread-5  ]: 43 of 78 START incremental model ggpredict_airbyte.user_server_weapon_stats_scd......................................... [RUN]
2022-06-07 16:04:49 normalization > 16:04:32.540954 [debug] [Thread-8  ]: Acquiring new bigquery connection "model.airbyte_utils.user_training_v2_level_segment_unit_start_sessions_scd"
2022-06-07 16:04:49 normalization > 16:04:32.541421 [debug] [Thread-4  ]: On model.airbyte_utils.missplays_scd: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.missplays_scd"} */
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >   create or replace table `segment-351212`.ggpredict_airbyte.`missplays_scd`
2022-06-07 16:04:49 normalization >   partition by range_bucket(
2022-06-07 16:04:49 normalization >             _airbyte_active_row,
2022-06-07 16:04:49 normalization >             generate_array(0, 1, 1)
2022-06-07 16:04:49 normalization >         )
2022-06-07 16:04:49 normalization >   cluster by _airbyte_unique_key_scd, _airbyte_emitted_at
2022-06-07 16:04:49 normalization >   OPTIONS()
2022-06-07 16:04:49 normalization >   as (
2022-06-07 16:04:49 normalization >     
2022-06-07 16:04:49 normalization > -- depends_on: ref('missplays_stg')
2022-06-07 16:04:49 normalization > with
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > input_data as (
2022-06-07 16:04:49 normalization >     select *
2022-06-07 16:04:49 normalization >     from `segment-351212`._airbyte_ggpredict_airbyte.`missplays_stg`
2022-06-07 16:04:49 normalization >     -- missplays from `segment-351212`.ggpredict_airbyte._airbyte_raw_missplays
2022-06-07 16:04:49 normalization > ),
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > scd_data as (
2022-06-07 16:04:49 normalization >     -- SQL model to build a Type 2 Slowly Changing Dimension (SCD) table for each record identified by their primary key
2022-06-07 16:04:49 normalization >     select
2022-06-07 16:04:49 normalization >       to_hex(md5(cast(concat(coalesce(cast(id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), '')) as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ))) as _airbyte_unique_key,
2022-06-07 16:04:49 normalization >       id,
2022-06-07 16:04:49 normalization >       value,
2022-06-07 16:04:49 normalization >       _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >       _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >       _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >       _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >       _ab_cdc_updated_at as _airbyte_start_at,
2022-06-07 16:04:49 normalization >       lag(_ab_cdc_updated_at) over (
2022-06-07 16:04:49 normalization >         partition by cast(id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > )
2022-06-07 16:04:49 normalization >         order by
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at is null asc,
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at desc,
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at desc,
2022-06-07 16:04:49 normalization >             _ab_cdc_log_pos desc,
2022-06-07 16:04:49 normalization >             _airbyte_emitted_at desc
2022-06-07 16:04:49 normalization >       ) as _airbyte_end_at,
2022-06-07 16:04:49 normalization >       case when row_number() over (
2022-06-07 16:04:49 normalization >         partition by cast(id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > )
2022-06-07 16:04:49 normalization >         order by
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at is null asc,
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at desc,
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at desc,
2022-06-07 16:04:49 normalization >             _ab_cdc_log_pos desc,
2022-06-07 16:04:49 normalization >             _airbyte_emitted_at desc
2022-06-07 16:04:49 normalization >       ) = 1 and _ab_cdc_deleted_at is null then 1 else 0 end as _airbyte_active_row,
2022-06-07 16:04:49 normalization >       _airbyte_ab_id,
2022-06-07 16:04:49 normalization >       _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >       _airbyte_missplays_hashid
2022-06-07 16:04:49 normalization >     from input_data
2022-06-07 16:04:49 normalization > ),
2022-06-07 16:04:49 normalization > dedup_data as (
2022-06-07 16:04:49 normalization >     select
2022-06-07 16:04:49 normalization >         -- we need to ensure de-duplicated rows for merge/update queries
2022-06-07 16:04:49 normalization >         -- additionally, we generate a unique key for the scd table
2022-06-07 16:04:49 normalization >         row_number() over (
2022-06-07 16:04:49 normalization >             partition by
2022-06-07 16:04:49 normalization >                 _airbyte_unique_key,
2022-06-07 16:04:49 normalization >                 _airbyte_start_at,
2022-06-07 16:04:49 normalization >                 _airbyte_emitted_at, cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > )
2022-06-07 16:04:49 normalization >             order by _airbyte_active_row desc, _airbyte_ab_id
2022-06-07 16:04:49 normalization >         ) as _airbyte_row_num,
2022-06-07 16:04:49 normalization >         to_hex(md5(cast(concat(coalesce(cast(_airbyte_unique_key as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_airbyte_start_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_airbyte_emitted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), '')) as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ))) as _airbyte_unique_key_scd,
2022-06-07 16:04:49 normalization >         scd_data.*
2022-06-07 16:04:49 normalization >     from scd_data
2022-06-07 16:04:49 normalization > )
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     _airbyte_unique_key,
2022-06-07 16:04:49 normalization >     _airbyte_unique_key_scd,
2022-06-07 16:04:49 normalization >     id,
2022-06-07 16:04:49 normalization >     value,
2022-06-07 16:04:49 normalization >     _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >     _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >     _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >     _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >     _airbyte_start_at,
2022-06-07 16:04:49 normalization >     _airbyte_end_at,
2022-06-07 16:04:49 normalization >     _airbyte_active_row,
2022-06-07 16:04:49 normalization >     _airbyte_ab_id,
2022-06-07 16:04:49 normalization >     _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at,
2022-06-07 16:04:49 normalization >     _airbyte_missplays_hashid
2022-06-07 16:04:49 normalization > from dedup_data where _airbyte_row_num = 1
2022-06-07 16:04:49 normalization >   );
2022-06-07 16:04:49 normalization >   
2022-06-07 16:04:49 normalization > 16:04:32.542564 [info ] [Thread-1  ]: 33 of 78 OK created incremental model ggpredict_airbyte.challenge_types_scd............................................. [CREATE TABLE (0.0 rows, 0 processed) in 3.26s]
2022-06-07 16:04:49 normalization > 16:04:32.543814 [debug] [Thread-5  ]: Acquiring new bigquery connection "model.airbyte_utils.user_server_weapon_stats_scd"
2022-06-07 16:04:49 normalization > 16:04:32.544315 [debug] [Thread-8  ]: Began compiling node model.airbyte_utils.user_training_v2_level_segment_unit_start_sessions_scd
2022-06-07 16:04:49 normalization > 16:04:32.549313 [debug] [Thread-1  ]: Finished running node model.airbyte_utils.challenge_types_scd
2022-06-07 16:04:49 normalization > 16:04:32.549719 [debug] [Thread-5  ]: Began compiling node model.airbyte_utils.user_server_weapon_stats_scd
2022-06-07 16:04:49 normalization > 16:04:32.550314 [debug] [Thread-8  ]: Compiling model.airbyte_utils.user_training_v2_level_segment_unit_start_sessions_scd
2022-06-07 16:04:49 normalization > 16:04:32.552242 [debug] [Thread-1  ]: Began running node model.airbyte_utils.user_matches_scd
2022-06-07 16:04:49 normalization > 16:04:32.553240 [debug] [Thread-5  ]: Compiling model.airbyte_utils.user_server_weapon_stats_scd
2022-06-07 16:04:49 normalization > 16:04:32.582524 [debug] [Thread-8  ]: Writing injected SQL for node "model.airbyte_utils.user_training_v2_level_segment_unit_start_sessions_scd"
2022-06-07 16:04:49 normalization > 16:04:32.583062 [info ] [Thread-1  ]: 44 of 78 START incremental model ggpredict_airbyte.user_matches_scd..................................................... [RUN]
2022-06-07 16:04:49 normalization > 16:04:32.621242 [debug] [Thread-5  ]: Writing injected SQL for node "model.airbyte_utils.user_server_weapon_stats_scd"
2022-06-07 16:04:49 normalization > 16:04:32.626360 [debug] [Thread-1  ]: Acquiring new bigquery connection "model.airbyte_utils.user_matches_scd"
2022-06-07 16:04:49 normalization > 16:04:32.627285 [debug] [Thread-8  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:32.627727 [debug] [Thread-1  ]: Began compiling node model.airbyte_utils.user_matches_scd
2022-06-07 16:04:49 normalization > 16:04:32.628002 [debug] [Thread-5  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:32.628299 [debug] [Thread-8  ]: Began executing node model.airbyte_utils.user_training_v2_level_segment_unit_start_sessions_scd
2022-06-07 16:04:49 normalization > 16:04:32.628721 [debug] [Thread-1  ]: Compiling model.airbyte_utils.user_matches_scd
2022-06-07 16:04:49 normalization > 16:04:32.629209 [debug] [Thread-5  ]: Began executing node model.airbyte_utils.user_server_weapon_stats_scd
2022-06-07 16:04:49 normalization > 16:04:32.633409 [debug] [Thread-8  ]: Opening a new connection, currently in state closed
2022-06-07 16:04:49 normalization > 16:04:32.668792 [debug] [Thread-5  ]: Opening a new connection, currently in state closed
2022-06-07 16:04:49 normalization > 16:04:32.669921 [debug] [Thread-2  ]: BigQuery adapter: get_columns_in_relation error: 404 GET https://bigquery.googleapis.com/bigquery/v2/projects/segment-351212/datasets/ggpredict_airbyte/tables/coach_matches_scd?prettyPrint=false: Not found: Table segment-351212:ggpredict_airbyte.coach_matches_scd
2022-06-07 16:04:49 normalization > 16:04:32.675754 [debug] [Thread-1  ]: Writing injected SQL for node "model.airbyte_utils.user_matches_scd"
2022-06-07 16:04:49 normalization > 16:04:32.679020 [info ] [Thread-2  ]: 16:04:32 + `segment-351212`.ggpredict_airbyte.`coach_matches_scd`._airbyte_ab_id does not exist yet. The table will be created or rebuilt with dbt.full_refresh
2022-06-07 16:04:49 normalization > 16:04:32.680121 [debug] [Thread-1  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:32.692502 [debug] [Thread-2  ]: Writing runtime SQL for node "model.airbyte_utils.coach_matches_scd"
2022-06-07 16:04:49 normalization > 16:04:32.693045 [debug] [Thread-1  ]: Began executing node model.airbyte_utils.user_matches_scd
2022-06-07 16:04:49 normalization > 16:04:32.714028 [debug] [Thread-1  ]: Opening a new connection, currently in state closed
2022-06-07 16:04:49 normalization > 16:04:32.714757 [debug] [Thread-2  ]: On model.airbyte_utils.coach_matches_scd: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.coach_matches_scd"} */
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >   create or replace table `segment-351212`.ggpredict_airbyte.`coach_matches_scd`
2022-06-07 16:04:49 normalization >   partition by range_bucket(
2022-06-07 16:04:49 normalization >             _airbyte_active_row,
2022-06-07 16:04:49 normalization >             generate_array(0, 1, 1)
2022-06-07 16:04:49 normalization >         )
2022-06-07 16:04:49 normalization >   cluster by _airbyte_unique_key_scd, _airbyte_emitted_at
2022-06-07 16:04:49 normalization >   OPTIONS()
2022-06-07 16:04:49 normalization >   as (
2022-06-07 16:04:49 normalization >     
2022-06-07 16:04:49 normalization > -- depends_on: ref('coach_matches_stg')
2022-06-07 16:04:49 normalization > with
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > input_data as (
2022-06-07 16:04:49 normalization >     select *
2022-06-07 16:04:49 normalization >     from `segment-351212`._airbyte_ggpredict_airbyte.`coach_matches_stg`
2022-06-07 16:04:49 normalization >     -- coach_matches from `segment-351212`.ggpredict_airbyte._airbyte_raw_coach_matches
2022-06-07 16:04:49 normalization > ),
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > scd_data as (
2022-06-07 16:04:49 normalization >     -- SQL model to build a Type 2 Slowly Changing Dimension (SCD) table for each record identified by their primary key
2022-06-07 16:04:49 normalization >     select
2022-06-07 16:04:49 normalization >       to_hex(md5(cast(concat(coalesce(cast(id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), '')) as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ))) as _airbyte_unique_key,
2022-06-07 16:04:49 normalization >       id,
2022-06-07 16:04:49 normalization >       map_id,
2022-06-07 16:04:49 normalization >       demo_url,
2022-06-07 16:04:49 normalization >       match_id,
2022-06-07 16:04:49 normalization >       reported,
2022-06-07 16:04:49 normalization >       match_date,
2022-06-07 16:04:49 normalization >       match_type,
2022-06-07 16:04:49 normalization >       downloaded_at,
2022-06-07 16:04:49 normalization >       inserted_date,
2022-06-07 16:04:49 normalization >       match_platform,
2022-06-07 16:04:49 normalization >       _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >       left_team_score,
2022-06-07 16:04:49 normalization >       _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >       right_team_score,
2022-06-07 16:04:49 normalization >       side_surrendered,
2022-06-07 16:04:49 normalization >       _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >       _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >       coach_match_states,
2022-06-07 16:04:49 normalization >       processing_finished,
2022-06-07 16:04:49 normalization >       _ab_cdc_updated_at as _airbyte_start_at,
2022-06-07 16:04:49 normalization >       lag(_ab_cdc_updated_at) over (
2022-06-07 16:04:49 normalization >         partition by cast(id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > )
2022-06-07 16:04:49 normalization >         order by
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at is null asc,
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at desc,
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at desc,
2022-06-07 16:04:49 normalization >             _ab_cdc_log_pos desc,
2022-06-07 16:04:49 normalization >             _airbyte_emitted_at desc
2022-06-07 16:04:49 normalization >       ) as _airbyte_end_at,
2022-06-07 16:04:49 normalization >       case when row_number() over (
2022-06-07 16:04:49 normalization >         partition by cast(id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > )
2022-06-07 16:04:49 normalization >         order by
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at is null asc,
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at desc,
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at desc,
2022-06-07 16:04:49 normalization >             _ab_cdc_log_pos desc,
2022-06-07 16:04:49 normalization >             _airbyte_emitted_at desc
2022-06-07 16:04:49 normalization >       ) = 1 and _ab_cdc_deleted_at is null then 1 else 0 end as _airbyte_active_row,
2022-06-07 16:04:49 normalization >       _airbyte_ab_id,
2022-06-07 16:04:49 normalization >       _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >       _airbyte_coach_matches_hashid
2022-06-07 16:04:49 normalization >     from input_data
2022-06-07 16:04:49 normalization > ),
2022-06-07 16:04:49 normalization > dedup_data as (
2022-06-07 16:04:49 normalization >     select
2022-06-07 16:04:49 normalization >         -- we need to ensure de-duplicated rows for merge/update queries
2022-06-07 16:04:49 normalization >         -- additionally, we generate a unique key for the scd table
2022-06-07 16:04:49 normalization >         row_number() over (
2022-06-07 16:04:49 normalization >             partition by
2022-06-07 16:04:49 normalization >                 _airbyte_unique_key,
2022-06-07 16:04:49 normalization >                 _airbyte_start_at,
2022-06-07 16:04:49 normalization >                 _airbyte_emitted_at, cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > )
2022-06-07 16:04:49 normalization >             order by _airbyte_active_row desc, _airbyte_ab_id
2022-06-07 16:04:49 normalization >         ) as _airbyte_row_num,
2022-06-07 16:04:49 normalization >         to_hex(md5(cast(concat(coalesce(cast(_airbyte_unique_key as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_airbyte_start_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_airbyte_emitted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), '')) as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ))) as _airbyte_unique_key_scd,
2022-06-07 16:04:49 normalization >         scd_data.*
2022-06-07 16:04:49 normalization >     from scd_data
2022-06-07 16:04:49 normalization > )
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     _airbyte_unique_key,
2022-06-07 16:04:49 normalization >     _airbyte_unique_key_scd,
2022-06-07 16:04:49 normalization >     id,
2022-06-07 16:04:49 normalization >     map_id,
2022-06-07 16:04:49 normalization >     demo_url,
2022-06-07 16:04:49 normalization >     match_id,
2022-06-07 16:04:49 normalization >     reported,
2022-06-07 16:04:49 normalization >     match_date,
2022-06-07 16:04:49 normalization >     match_type,
2022-06-07 16:04:49 normalization >     downloaded_at,
2022-06-07 16:04:49 normalization >     inserted_date,
2022-06-07 16:04:49 normalization >     match_platform,
2022-06-07 16:04:49 normalization >     _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >     left_team_score,
2022-06-07 16:04:49 normalization >     _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >     right_team_score,
2022-06-07 16:04:49 normalization >     side_surrendered,
2022-06-07 16:04:49 normalization >     _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >     _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >     coach_match_states,
2022-06-07 16:04:49 normalization >     processing_finished,
2022-06-07 16:04:49 normalization >     _airbyte_start_at,
2022-06-07 16:04:49 normalization >     _airbyte_end_at,
2022-06-07 16:04:49 normalization >     _airbyte_active_row,
2022-06-07 16:04:49 normalization >     _airbyte_ab_id,
2022-06-07 16:04:49 normalization >     _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at,
2022-06-07 16:04:49 normalization >     _airbyte_coach_matches_hashid
2022-06-07 16:04:49 normalization > from dedup_data where _airbyte_row_num = 1
2022-06-07 16:04:49 normalization >   );
2022-06-07 16:04:49 normalization >   
2022-06-07 16:04:49 normalization > 16:04:32.779525 [debug] [Thread-3  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:32.785618 [info ] [Thread-3  ]: 36 of 78 OK created incremental model ggpredict_airbyte.coach_players_scd............................................... [CREATE TABLE (0.0 rows, 0 processed) in 2.95s]
2022-06-07 16:04:49 normalization > 16:04:32.792561 [debug] [Thread-3  ]: Finished running node model.airbyte_utils.coach_players_scd
2022-06-07 16:04:49 normalization > 16:04:32.797004 [debug] [Thread-3  ]: Began running node model.airbyte_utils.user_server_live_stats_scd
2022-06-07 16:04:49 normalization > 16:04:32.798047 [info ] [Thread-3  ]: 45 of 78 START incremental model ggpredict_airbyte.user_server_live_stats_scd........................................... [RUN]
2022-06-07 16:04:49 normalization > 16:04:32.803314 [debug] [Thread-3  ]: Acquiring new bigquery connection "model.airbyte_utils.user_server_live_stats_scd"
2022-06-07 16:04:49 normalization > 16:04:32.805024 [debug] [Thread-3  ]: Began compiling node model.airbyte_utils.user_server_live_stats_scd
2022-06-07 16:04:49 normalization > 16:04:32.809196 [debug] [Thread-3  ]: Compiling model.airbyte_utils.user_server_live_stats_scd
2022-06-07 16:04:49 normalization > 16:04:32.842668 [debug] [Thread-3  ]: Writing injected SQL for node "model.airbyte_utils.user_server_live_stats_scd"
2022-06-07 16:04:49 normalization > 16:04:32.843669 [debug] [Thread-7  ]: BigQuery adapter: get_columns_in_relation error: 404 GET https://bigquery.googleapis.com/bigquery/v2/projects/segment-351212/datasets/ggpredict_airbyte/tables/user_challenges_scd?prettyPrint=false: Not found: Table segment-351212:ggpredict_airbyte.user_challenges_scd
2022-06-07 16:04:49 normalization > 16:04:32.844379 [debug] [Thread-3  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:32.846719 [info ] [Thread-7  ]: 16:04:32 + `segment-351212`.ggpredict_airbyte.`user_challenges_scd`._airbyte_ab_id does not exist yet. The table will be created or rebuilt with dbt.full_refresh
2022-06-07 16:04:49 normalization > 16:04:32.847256 [debug] [Thread-3  ]: Began executing node model.airbyte_utils.user_server_live_stats_scd
2022-06-07 16:04:49 normalization > 16:04:32.858502 [debug] [Thread-3  ]: Opening a new connection, currently in state closed
2022-06-07 16:04:49 normalization > 16:04:32.859361 [debug] [Thread-7  ]: Writing runtime SQL for node "model.airbyte_utils.user_challenges_scd"
2022-06-07 16:04:49 normalization > 16:04:32.860030 [debug] [Thread-7  ]: On model.airbyte_utils.user_challenges_scd: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.user_challenges_scd"} */
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >   create or replace table `segment-351212`.ggpredict_airbyte.`user_challenges_scd`
2022-06-07 16:04:49 normalization >   partition by range_bucket(
2022-06-07 16:04:49 normalization >             _airbyte_active_row,
2022-06-07 16:04:49 normalization >             generate_array(0, 1, 1)
2022-06-07 16:04:49 normalization >         )
2022-06-07 16:04:49 normalization >   cluster by _airbyte_unique_key_scd, _airbyte_emitted_at
2022-06-07 16:04:49 normalization >   OPTIONS()
2022-06-07 16:04:49 normalization >   as (
2022-06-07 16:04:49 normalization >     
2022-06-07 16:04:49 normalization > -- depends_on: ref('user_challenges_stg')
2022-06-07 16:04:49 normalization > with
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > input_data as (
2022-06-07 16:04:49 normalization >     select *
2022-06-07 16:04:49 normalization >     from `segment-351212`._airbyte_ggpredict_airbyte.`user_challenges_stg`
2022-06-07 16:04:49 normalization >     -- user_challenges from `segment-351212`.ggpredict_airbyte._airbyte_raw_user_challenges
2022-06-07 16:04:49 normalization > ),
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > scd_data as (
2022-06-07 16:04:49 normalization >     -- SQL model to build a Type 2 Slowly Changing Dimension (SCD) table for each record identified by their primary key
2022-06-07 16:04:49 normalization >     select
2022-06-07 16:04:49 normalization >       to_hex(md5(cast(concat(coalesce(cast(id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), '')) as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ))) as _airbyte_unique_key,
2022-06-07 16:04:49 normalization >       id,
2022-06-07 16:04:49 normalization >       user_id,
2022-06-07 16:04:49 normalization >       progress,
2022-06-07 16:04:49 normalization >       challenge_id,
2022-06-07 16:04:49 normalization >       finished_date,
2022-06-07 16:04:49 normalization >       inserted_date,
2022-06-07 16:04:49 normalization >       _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >       _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >       _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >       _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >       _ab_cdc_updated_at as _airbyte_start_at,
2022-06-07 16:04:49 normalization >       lag(_ab_cdc_updated_at) over (
2022-06-07 16:04:49 normalization >         partition by cast(id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > )
2022-06-07 16:04:49 normalization >         order by
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at is null asc,
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at desc,
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at desc,
2022-06-07 16:04:49 normalization >             _ab_cdc_log_pos desc,
2022-06-07 16:04:49 normalization >             _airbyte_emitted_at desc
2022-06-07 16:04:49 normalization >       ) as _airbyte_end_at,
2022-06-07 16:04:49 normalization >       case when row_number() over (
2022-06-07 16:04:49 normalization >         partition by cast(id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > )
2022-06-07 16:04:49 normalization >         order by
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at is null asc,
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at desc,
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at desc,
2022-06-07 16:04:49 normalization >             _ab_cdc_log_pos desc,
2022-06-07 16:04:49 normalization >             _airbyte_emitted_at desc
2022-06-07 16:04:49 normalization >       ) = 1 and _ab_cdc_deleted_at is null then 1 else 0 end as _airbyte_active_row,
2022-06-07 16:04:49 normalization >       _airbyte_ab_id,
2022-06-07 16:04:49 normalization >       _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >       _airbyte_user_challenges_hashid
2022-06-07 16:04:49 normalization >     from input_data
2022-06-07 16:04:49 normalization > ),
2022-06-07 16:04:49 normalization > dedup_data as (
2022-06-07 16:04:49 normalization >     select
2022-06-07 16:04:49 normalization >         -- we need to ensure de-duplicated rows for merge/update queries
2022-06-07 16:04:49 normalization >         -- additionally, we generate a unique key for the scd table
2022-06-07 16:04:49 normalization >         row_number() over (
2022-06-07 16:04:49 normalization >             partition by
2022-06-07 16:04:49 normalization >                 _airbyte_unique_key,
2022-06-07 16:04:49 normalization >                 _airbyte_start_at,
2022-06-07 16:04:49 normalization >                 _airbyte_emitted_at, cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > )
2022-06-07 16:04:49 normalization >             order by _airbyte_active_row desc, _airbyte_ab_id
2022-06-07 16:04:49 normalization >         ) as _airbyte_row_num,
2022-06-07 16:04:49 normalization >         to_hex(md5(cast(concat(coalesce(cast(_airbyte_unique_key as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_airbyte_start_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_airbyte_emitted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), '')) as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ))) as _airbyte_unique_key_scd,
2022-06-07 16:04:49 normalization >         scd_data.*
2022-06-07 16:04:49 normalization >     from scd_data
2022-06-07 16:04:49 normalization > )
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     _airbyte_unique_key,
2022-06-07 16:04:49 normalization >     _airbyte_unique_key_scd,
2022-06-07 16:04:49 normalization >     id,
2022-06-07 16:04:49 normalization >     user_id,
2022-06-07 16:04:49 normalization >     progress,
2022-06-07 16:04:49 normalization >     challenge_id,
2022-06-07 16:04:49 normalization >     finished_date,
2022-06-07 16:04:49 normalization >     inserted_date,
2022-06-07 16:04:49 normalization >     _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >     _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >     _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >     _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >     _airbyte_start_at,
2022-06-07 16:04:49 normalization >     _airbyte_end_at,
2022-06-07 16:04:49 normalization >     _airbyte_active_row,
2022-06-07 16:04:49 normalization >     _airbyte_ab_id,
2022-06-07 16:04:49 normalization >     _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at,
2022-06-07 16:04:49 normalization >     _airbyte_user_challenges_hashid
2022-06-07 16:04:49 normalization > from dedup_data where _airbyte_row_num = 1
2022-06-07 16:04:49 normalization >   );
2022-06-07 16:04:49 normalization >   
2022-06-07 16:04:49 normalization > 16:04:32.919452 [debug] [Thread-8  ]: BigQuery adapter: get_columns_in_relation error: 404 GET https://bigquery.googleapis.com/bigquery/v2/projects/segment-351212/datasets/ggpredict_airbyte/tables/user_training_v2_level_segment_unit_start_sessions_scd?prettyPrint=false: Not found: Table segment-351212:ggpredict_airbyte.user_training_v2_level_segment_unit_start_sessions_scd
2022-06-07 16:04:49 normalization > 16:04:32.922606 [info ] [Thread-8  ]: 16:04:32 + `segment-351212`.ggpredict_airbyte.`user_training_v2_level_segment_unit_start_sessions_scd`._airbyte_ab_id does not exist yet. The table will be created or rebuilt with dbt.full_refresh
2022-06-07 16:04:49 normalization > 16:04:32.930671 [debug] [Thread-8  ]: Writing runtime SQL for node "model.airbyte_utils.user_training_v2_level_segment_unit_start_sessions_scd"
2022-06-07 16:04:49 normalization > 16:04:32.931398 [debug] [Thread-8  ]: On model.airbyte_utils.user_training_v2_level_segment_unit_start_sessions_scd: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.user_training_v2_level_segment_unit_start_sessions_scd"} */
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >   create or replace table `segment-351212`.ggpredict_airbyte.`user_training_v2_level_segment_unit_start_sessions_scd`
2022-06-07 16:04:49 normalization >   partition by range_bucket(
2022-06-07 16:04:49 normalization >             _airbyte_active_row,
2022-06-07 16:04:49 normalization >             generate_array(0, 1, 1)
2022-06-07 16:04:49 normalization >         )
2022-06-07 16:04:49 normalization >   cluster by _airbyte_unique_key_scd, _airbyte_emitted_at
2022-06-07 16:04:49 normalization >   OPTIONS()
2022-06-07 16:04:49 normalization >   as (
2022-06-07 16:04:49 normalization >     
2022-06-07 16:04:49 normalization > -- depends_on: ref('user_training_v2_level_segment_unit_start_sessions_stg')
2022-06-07 16:04:49 normalization > with
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > input_data as (
2022-06-07 16:04:49 normalization >     select *
2022-06-07 16:04:49 normalization >     from `segment-351212`._airbyte_ggpredict_airbyte.`user_training_v2_level_segment_unit_start_sessions_stg`
2022-06-07 16:04:49 normalization >     -- user_training_v2_level_segment_unit_start_sessions from `segment-351212`.ggpredict_airbyte._airbyte_raw_user_training_v2_level_segment_unit_start_sessions
2022-06-07 16:04:49 normalization > ),
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > scd_data as (
2022-06-07 16:04:49 normalization >     -- SQL model to build a Type 2 Slowly Changing Dimension (SCD) table for each record identified by their primary key
2022-06-07 16:04:49 normalization >     select
2022-06-07 16:04:49 normalization >       to_hex(md5(cast(concat(coalesce(cast(id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), '')) as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ))) as _airbyte_unique_key,
2022-06-07 16:04:49 normalization >       id,
2022-06-07 16:04:49 normalization >       server_ip,
2022-06-07 16:04:49 normalization >       inserted_date,
2022-06-07 16:04:49 normalization >       _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >       _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >       _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >       _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >       user_training_v2_level_segment_unit_id,
2022-06-07 16:04:49 normalization >       _ab_cdc_updated_at as _airbyte_start_at,
2022-06-07 16:04:49 normalization >       lag(_ab_cdc_updated_at) over (
2022-06-07 16:04:49 normalization >         partition by cast(id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > )
2022-06-07 16:04:49 normalization >         order by
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at is null asc,
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at desc,
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at desc,
2022-06-07 16:04:49 normalization >             _ab_cdc_log_pos desc,
2022-06-07 16:04:49 normalization >             _airbyte_emitted_at desc
2022-06-07 16:04:49 normalization >       ) as _airbyte_end_at,
2022-06-07 16:04:49 normalization >       case when row_number() over (
2022-06-07 16:04:49 normalization >         partition by cast(id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > )
2022-06-07 16:04:49 normalization >         order by
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at is null asc,
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at desc,
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at desc,
2022-06-07 16:04:49 normalization >             _ab_cdc_log_pos desc,
2022-06-07 16:04:49 normalization >             _airbyte_emitted_at desc
2022-06-07 16:04:49 normalization >       ) = 1 and _ab_cdc_deleted_at is null then 1 else 0 end as _airbyte_active_row,
2022-06-07 16:04:49 normalization >       _airbyte_ab_id,
2022-06-07 16:04:49 normalization >       _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >       _airbyte_user_training_v2_level_segment_unit_start_sessions_hashid
2022-06-07 16:04:49 normalization >     from input_data
2022-06-07 16:04:49 normalization > ),
2022-06-07 16:04:49 normalization > dedup_data as (
2022-06-07 16:04:49 normalization >     select
2022-06-07 16:04:49 normalization >         -- we need to ensure de-duplicated rows for merge/update queries
2022-06-07 16:04:49 normalization >         -- additionally, we generate a unique key for the scd table
2022-06-07 16:04:49 normalization >         row_number() over (
2022-06-07 16:04:49 normalization >             partition by
2022-06-07 16:04:49 normalization >                 _airbyte_unique_key,
2022-06-07 16:04:49 normalization >                 _airbyte_start_at,
2022-06-07 16:04:49 normalization >                 _airbyte_emitted_at, cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > )
2022-06-07 16:04:49 normalization >             order by _airbyte_active_row desc, _airbyte_ab_id
2022-06-07 16:04:49 normalization >         ) as _airbyte_row_num,
2022-06-07 16:04:49 normalization >         to_hex(md5(cast(concat(coalesce(cast(_airbyte_unique_key as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_airbyte_start_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_airbyte_emitted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), '')) as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ))) as _airbyte_unique_key_scd,
2022-06-07 16:04:49 normalization >         scd_data.*
2022-06-07 16:04:49 normalization >     from scd_data
2022-06-07 16:04:49 normalization > )
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     _airbyte_unique_key,
2022-06-07 16:04:49 normalization >     _airbyte_unique_key_scd,
2022-06-07 16:04:49 normalization >     id,
2022-06-07 16:04:49 normalization >     server_ip,
2022-06-07 16:04:49 normalization >     inserted_date,
2022-06-07 16:04:49 normalization >     _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >     _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >     _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >     _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >     user_training_v2_level_segment_unit_id,
2022-06-07 16:04:49 normalization >     _airbyte_start_at,
2022-06-07 16:04:49 normalization >     _airbyte_end_at,
2022-06-07 16:04:49 normalization >     _airbyte_active_row,
2022-06-07 16:04:49 normalization >     _airbyte_ab_id,
2022-06-07 16:04:49 normalization >     _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at,
2022-06-07 16:04:49 normalization >     _airbyte_user_training_v2_level_segment_unit_start_sessions_hashid
2022-06-07 16:04:49 normalization > from dedup_data where _airbyte_row_num = 1
2022-06-07 16:04:49 normalization >   );
2022-06-07 16:04:49 normalization >   
2022-06-07 16:04:49 normalization > 16:04:32.957430 [debug] [Thread-5  ]: BigQuery adapter: get_columns_in_relation error: 404 GET https://bigquery.googleapis.com/bigquery/v2/projects/segment-351212/datasets/ggpredict_airbyte/tables/user_server_weapon_stats_scd?prettyPrint=false: Not found: Table segment-351212:ggpredict_airbyte.user_server_weapon_stats_scd
2022-06-07 16:04:49 normalization > 16:04:32.959931 [info ] [Thread-5  ]: 16:04:32 + `segment-351212`.ggpredict_airbyte.`user_server_weapon_stats_scd`._airbyte_ab_id does not exist yet. The table will be created or rebuilt with dbt.full_refresh
2022-06-07 16:04:49 normalization > 16:04:32.969794 [debug] [Thread-5  ]: Writing runtime SQL for node "model.airbyte_utils.user_server_weapon_stats_scd"
2022-06-07 16:04:49 normalization > 16:04:32.970306 [debug] [Thread-1  ]: BigQuery adapter: get_columns_in_relation error: 404 GET https://bigquery.googleapis.com/bigquery/v2/projects/segment-351212/datasets/ggpredict_airbyte/tables/user_matches_scd?prettyPrint=false: Not found: Table segment-351212:ggpredict_airbyte.user_matches_scd
2022-06-07 16:04:49 normalization > 16:04:32.971000 [debug] [Thread-5  ]: On model.airbyte_utils.user_server_weapon_stats_scd: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.user_server_weapon_stats_scd"} */
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >   create or replace table `segment-351212`.ggpredict_airbyte.`user_server_weapon_stats_scd`
2022-06-07 16:04:49 normalization >   partition by range_bucket(
2022-06-07 16:04:49 normalization >             _airbyte_active_row,
2022-06-07 16:04:49 normalization >             generate_array(0, 1, 1)
2022-06-07 16:04:49 normalization >         )
2022-06-07 16:04:49 normalization >   cluster by _airbyte_unique_key_scd, _airbyte_emitted_at
2022-06-07 16:04:49 normalization >   OPTIONS()
2022-06-07 16:04:49 normalization >   as (
2022-06-07 16:04:49 normalization >     
2022-06-07 16:04:49 normalization > -- depends_on: ref('user_server_weapon_stats_stg')
2022-06-07 16:04:49 normalization > with
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > input_data as (
2022-06-07 16:04:49 normalization >     select *
2022-06-07 16:04:49 normalization >     from `segment-351212`._airbyte_ggpredict_airbyte.`user_server_weapon_stats_stg`
2022-06-07 16:04:49 normalization >     -- user_server_weapon_stats from `segment-351212`.ggpredict_airbyte._airbyte_raw_user_server_weapon_stats
2022-06-07 16:04:49 normalization > ),
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > scd_data as (
2022-06-07 16:04:49 normalization >     -- SQL model to build a Type 2 Slowly Changing Dimension (SCD) table for each record identified by their primary key
2022-06-07 16:04:49 normalization >     select
2022-06-07 16:04:49 normalization >       to_hex(md5(cast(concat(coalesce(cast(id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), '')) as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ))) as _airbyte_unique_key,
2022-06-07 16:04:49 normalization >       id,
2022-06-07 16:04:49 normalization >       hits,
2022-06-07 16:04:49 normalization >       kills,
2022-06-07 16:04:49 normalization >       shots,
2022-06-07 16:04:49 normalization >       damage,
2022-06-07 16:04:49 normalization >       kills_hs,
2022-06-07 16:04:49 normalization >       weapon_id,
2022-06-07 16:04:49 normalization >       hitgroup_gear,
2022-06-07 16:04:49 normalization >       hitgroup_head,
2022-06-07 16:04:49 normalization >       hitgroup_neck,
2022-06-07 16:04:49 normalization >       hitgroup_chest,
2022-06-07 16:04:49 normalization >       _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >       time_possession,
2022-06-07 16:04:49 normalization >       _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >       hitgroup_generic,
2022-06-07 16:04:49 normalization >       hitgroup_leftarm,
2022-06-07 16:04:49 normalization >       hitgroup_leftleg,
2022-06-07 16:04:49 normalization >       hitgroup_stomach,
2022-06-07 16:04:49 normalization >       hitgroup_rightarm,
2022-06-07 16:04:49 normalization >       hitgroup_rightleg,
2022-06-07 16:04:49 normalization >       _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >       _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >       user_server_stats_id,
2022-06-07 16:04:49 normalization >       _ab_cdc_updated_at as _airbyte_start_at,
2022-06-07 16:04:49 normalization >       lag(_ab_cdc_updated_at) over (
2022-06-07 16:04:49 normalization >         partition by cast(id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > )
2022-06-07 16:04:49 normalization >         order by
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at is null asc,
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at desc,
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at desc,
2022-06-07 16:04:49 normalization >             _ab_cdc_log_pos desc,
2022-06-07 16:04:49 normalization >             _airbyte_emitted_at desc
2022-06-07 16:04:49 normalization >       ) as _airbyte_end_at,
2022-06-07 16:04:49 normalization >       case when row_number() over (
2022-06-07 16:04:49 normalization >         partition by cast(id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > )
2022-06-07 16:04:49 normalization >         order by
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at is null asc,
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at desc,
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at desc,
2022-06-07 16:04:49 normalization >             _ab_cdc_log_pos desc,
2022-06-07 16:04:49 normalization >             _airbyte_emitted_at desc
2022-06-07 16:04:49 normalization >       ) = 1 and _ab_cdc_deleted_at is null then 1 else 0 end as _airbyte_active_row,
2022-06-07 16:04:49 normalization >       _airbyte_ab_id,
2022-06-07 16:04:49 normalization >       _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >       _airbyte_user_server_weapon_stats_hashid
2022-06-07 16:04:49 normalization >     from input_data
2022-06-07 16:04:49 normalization > ),
2022-06-07 16:04:49 normalization > dedup_data as (
2022-06-07 16:04:49 normalization >     select
2022-06-07 16:04:49 normalization >         -- we need to ensure de-duplicated rows for merge/update queries
2022-06-07 16:04:49 normalization >         -- additionally, we generate a unique key for the scd table
2022-06-07 16:04:49 normalization >         row_number() over (
2022-06-07 16:04:49 normalization >             partition by
2022-06-07 16:04:49 normalization >                 _airbyte_unique_key,
2022-06-07 16:04:49 normalization >                 _airbyte_start_at,
2022-06-07 16:04:49 normalization >                 _airbyte_emitted_at, cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > )
2022-06-07 16:04:49 normalization >             order by _airbyte_active_row desc, _airbyte_ab_id
2022-06-07 16:04:49 normalization >         ) as _airbyte_row_num,
2022-06-07 16:04:49 normalization >         to_hex(md5(cast(concat(coalesce(cast(_airbyte_unique_key as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_airbyte_start_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_airbyte_emitted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), '')) as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ))) as _airbyte_unique_key_scd,
2022-06-07 16:04:49 normalization >         scd_data.*
2022-06-07 16:04:49 normalization >     from scd_data
2022-06-07 16:04:49 normalization > )
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     _airbyte_unique_key,
2022-06-07 16:04:49 normalization >     _airbyte_unique_key_scd,
2022-06-07 16:04:49 normalization >     id,
2022-06-07 16:04:49 normalization >     hits,
2022-06-07 16:04:49 normalization >     kills,
2022-06-07 16:04:49 normalization >     shots,
2022-06-07 16:04:49 normalization >     damage,
2022-06-07 16:04:49 normalization >     kills_hs,
2022-06-07 16:04:49 normalization >     weapon_id,
2022-06-07 16:04:49 normalization >     hitgroup_gear,
2022-06-07 16:04:49 normalization >     hitgroup_head,
2022-06-07 16:04:49 normalization >     hitgroup_neck,
2022-06-07 16:04:49 normalization >     hitgroup_chest,
2022-06-07 16:04:49 normalization >     _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >     time_possession,
2022-06-07 16:04:49 normalization >     _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >     hitgroup_generic,
2022-06-07 16:04:49 normalization >     hitgroup_leftarm,
2022-06-07 16:04:49 normalization >     hitgroup_leftleg,
2022-06-07 16:04:49 normalization >     hitgroup_stomach,
2022-06-07 16:04:49 normalization >     hitgroup_rightarm,
2022-06-07 16:04:49 normalization >     hitgroup_rightleg,
2022-06-07 16:04:49 normalization >     _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >     _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >     user_server_stats_id,
2022-06-07 16:04:49 normalization >     _airbyte_start_at,
2022-06-07 16:04:49 normalization >     _airbyte_end_at,
2022-06-07 16:04:49 normalization >     _airbyte_active_row,
2022-06-07 16:04:49 normalization >     _airbyte_ab_id,
2022-06-07 16:04:49 normalization >     _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at,
2022-06-07 16:04:49 normalization >     _airbyte_user_server_weapon_stats_hashid
2022-06-07 16:04:49 normalization > from dedup_data where _airbyte_row_num = 1
2022-06-07 16:04:49 normalization >   );
2022-06-07 16:04:49 normalization >   
2022-06-07 16:04:49 normalization > 16:04:32.973392 [info ] [Thread-1  ]: 16:04:32 + `segment-351212`.ggpredict_airbyte.`user_matches_scd`._airbyte_ab_id does not exist yet. The table will be created or rebuilt with dbt.full_refresh
2022-06-07 16:04:49 normalization > 16:04:32.984477 [debug] [Thread-1  ]: Writing runtime SQL for node "model.airbyte_utils.user_matches_scd"
2022-06-07 16:04:49 normalization > 16:04:32.989173 [debug] [Thread-1  ]: On model.airbyte_utils.user_matches_scd: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.user_matches_scd"} */
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >   create or replace table `segment-351212`.ggpredict_airbyte.`user_matches_scd`
2022-06-07 16:04:49 normalization >   partition by range_bucket(
2022-06-07 16:04:49 normalization >             _airbyte_active_row,
2022-06-07 16:04:49 normalization >             generate_array(0, 1, 1)
2022-06-07 16:04:49 normalization >         )
2022-06-07 16:04:49 normalization >   cluster by _airbyte_unique_key_scd, _airbyte_emitted_at
2022-06-07 16:04:49 normalization >   OPTIONS()
2022-06-07 16:04:49 normalization >   as (
2022-06-07 16:04:49 normalization >     
2022-06-07 16:04:49 normalization > -- depends_on: ref('user_matches_stg')
2022-06-07 16:04:49 normalization > with
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > input_data as (
2022-06-07 16:04:49 normalization >     select *
2022-06-07 16:04:49 normalization >     from `segment-351212`._airbyte_ggpredict_airbyte.`user_matches_stg`
2022-06-07 16:04:49 normalization >     -- user_matches from `segment-351212`.ggpredict_airbyte._airbyte_raw_user_matches
2022-06-07 16:04:49 normalization > ),
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > scd_data as (
2022-06-07 16:04:49 normalization >     -- SQL model to build a Type 2 Slowly Changing Dimension (SCD) table for each record identified by their primary key
2022-06-07 16:04:49 normalization >     select
2022-06-07 16:04:49 normalization >       to_hex(md5(cast(concat(coalesce(cast(coach_match_id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(user_id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), '')) as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ))) as _airbyte_unique_key,
2022-06-07 16:04:49 normalization >       user_id,
2022-06-07 16:04:49 normalization >       team_side,
2022-06-07 16:04:49 normalization >       steam_id_64,
2022-06-07 16:04:49 normalization >       coach_match_id,
2022-06-07 16:04:49 normalization >       _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >       _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >       _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >       _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >       _ab_cdc_updated_at as _airbyte_start_at,
2022-06-07 16:04:49 normalization >       lag(_ab_cdc_updated_at) over (
2022-06-07 16:04:49 normalization >         partition by cast(coach_match_id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), cast(user_id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > )
2022-06-07 16:04:49 normalization >         order by
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at is null asc,
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at desc,
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at desc,
2022-06-07 16:04:49 normalization >             _ab_cdc_log_pos desc,
2022-06-07 16:04:49 normalization >             _airbyte_emitted_at desc
2022-06-07 16:04:49 normalization >       ) as _airbyte_end_at,
2022-06-07 16:04:49 normalization >       case when row_number() over (
2022-06-07 16:04:49 normalization >         partition by cast(coach_match_id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), cast(user_id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > )
2022-06-07 16:04:49 normalization >         order by
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at is null asc,
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at desc,
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at desc,
2022-06-07 16:04:49 normalization >             _ab_cdc_log_pos desc,
2022-06-07 16:04:49 normalization >             _airbyte_emitted_at desc
2022-06-07 16:04:49 normalization >       ) = 1 and _ab_cdc_deleted_at is null then 1 else 0 end as _airbyte_active_row,
2022-06-07 16:04:49 normalization >       _airbyte_ab_id,
2022-06-07 16:04:49 normalization >       _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >       _airbyte_user_matches_hashid
2022-06-07 16:04:49 normalization >     from input_data
2022-06-07 16:04:49 normalization > ),
2022-06-07 16:04:49 normalization > dedup_data as (
2022-06-07 16:04:49 normalization >     select
2022-06-07 16:04:49 normalization >         -- we need to ensure de-duplicated rows for merge/update queries
2022-06-07 16:04:49 normalization >         -- additionally, we generate a unique key for the scd table
2022-06-07 16:04:49 normalization >         row_number() over (
2022-06-07 16:04:49 normalization >             partition by
2022-06-07 16:04:49 normalization >                 _airbyte_unique_key,
2022-06-07 16:04:49 normalization >                 _airbyte_start_at,
2022-06-07 16:04:49 normalization >                 _airbyte_emitted_at, cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > )
2022-06-07 16:04:49 normalization >             order by _airbyte_active_row desc, _airbyte_ab_id
2022-06-07 16:04:49 normalization >         ) as _airbyte_row_num,
2022-06-07 16:04:49 normalization >         to_hex(md5(cast(concat(coalesce(cast(_airbyte_unique_key as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_airbyte_start_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_airbyte_emitted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), '')) as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ))) as _airbyte_unique_key_scd,
2022-06-07 16:04:49 normalization >         scd_data.*
2022-06-07 16:04:49 normalization >     from scd_data
2022-06-07 16:04:49 normalization > )
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     _airbyte_unique_key,
2022-06-07 16:04:49 normalization >     _airbyte_unique_key_scd,
2022-06-07 16:04:49 normalization >     user_id,
2022-06-07 16:04:49 normalization >     team_side,
2022-06-07 16:04:49 normalization >     steam_id_64,
2022-06-07 16:04:49 normalization >     coach_match_id,
2022-06-07 16:04:49 normalization >     _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >     _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >     _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >     _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >     _airbyte_start_at,
2022-06-07 16:04:49 normalization >     _airbyte_end_at,
2022-06-07 16:04:49 normalization >     _airbyte_active_row,
2022-06-07 16:04:49 normalization >     _airbyte_ab_id,
2022-06-07 16:04:49 normalization >     _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at,
2022-06-07 16:04:49 normalization >     _airbyte_user_matches_hashid
2022-06-07 16:04:49 normalization > from dedup_data where _airbyte_row_num = 1
2022-06-07 16:04:49 normalization >   );
2022-06-07 16:04:49 normalization >   
2022-06-07 16:04:49 normalization > 16:04:33.093663 [debug] [Thread-6  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:33.095111 [info ] [Thread-6  ]: 35 of 78 OK created incremental model ggpredict_airbyte.coach_match_sub_stats_scd....................................... [CREATE TABLE (0.0 rows, 0 processed) in 3.32s]
2022-06-07 16:04:49 normalization > 16:04:33.096113 [debug] [Thread-6  ]: Finished running node model.airbyte_utils.coach_match_sub_stats_scd
2022-06-07 16:04:49 normalization > 16:04:33.096715 [debug] [Thread-6  ]: Began running node model.airbyte_utils.challenges
2022-06-07 16:04:49 normalization > 16:04:33.097822 [info ] [Thread-6  ]: 46 of 78 SKIP relation ggpredict_airbyte.challenges..................................................................... [SKIP]
2022-06-07 16:04:49 normalization > 16:04:33.098759 [debug] [Thread-6  ]: Finished running node model.airbyte_utils.challenges
2022-06-07 16:04:49 normalization > 16:04:33.099292 [debug] [Thread-6  ]: Began running node model.airbyte_utils.coach_match_advanced_stats_v2
2022-06-07 16:04:49 normalization > 16:04:33.099824 [info ] [Thread-6  ]: 47 of 78 SKIP relation ggpredict_airbyte.coach_match_advanced_stats_v2.................................................. [SKIP]
2022-06-07 16:04:49 normalization > 16:04:33.100218 [debug] [Thread-6  ]: Finished running node model.airbyte_utils.coach_match_advanced_stats_v2
2022-06-07 16:04:49 normalization > 16:04:33.100483 [debug] [Thread-6  ]: Began running node model.airbyte_utils.user_training_v2_level_segment_unit_stats_scd
2022-06-07 16:04:49 normalization > 16:04:33.100969 [info ] [Thread-6  ]: 48 of 78 START incremental model ggpredict_airbyte.user_training_v2_level_segment_unit_stats_scd........................ [RUN]
2022-06-07 16:04:49 normalization > 16:04:33.101598 [debug] [Thread-6  ]: Acquiring new bigquery connection "model.airbyte_utils.user_training_v2_level_segment_unit_stats_scd"
2022-06-07 16:04:49 normalization > 16:04:33.101786 [debug] [Thread-6  ]: Began compiling node model.airbyte_utils.user_training_v2_level_segment_unit_stats_scd
2022-06-07 16:04:49 normalization > 16:04:33.101964 [debug] [Thread-6  ]: Compiling model.airbyte_utils.user_training_v2_level_segment_unit_stats_scd
2022-06-07 16:04:49 normalization > 16:04:33.124259 [debug] [Thread-6  ]: Writing injected SQL for node "model.airbyte_utils.user_training_v2_level_segment_unit_stats_scd"
2022-06-07 16:04:49 normalization > 16:04:33.124716 [debug] [Thread-6  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:33.124913 [debug] [Thread-6  ]: Began executing node model.airbyte_utils.user_training_v2_level_segment_unit_stats_scd
2022-06-07 16:04:49 normalization > 16:04:33.128663 [debug] [Thread-6  ]: Opening a new connection, currently in state closed
2022-06-07 16:04:49 normalization > 16:04:33.209441 [debug] [Thread-3  ]: BigQuery adapter: get_columns_in_relation error: 404 GET https://bigquery.googleapis.com/bigquery/v2/projects/segment-351212/datasets/ggpredict_airbyte/tables/user_server_live_stats_scd?prettyPrint=false: Not found: Table segment-351212:ggpredict_airbyte.user_server_live_stats_scd
2022-06-07 16:04:49 normalization > 16:04:33.211198 [info ] [Thread-3  ]: 16:04:33 + `segment-351212`.ggpredict_airbyte.`user_server_live_stats_scd`._airbyte_ab_id does not exist yet. The table will be created or rebuilt with dbt.full_refresh
2022-06-07 16:04:49 normalization > 16:04:33.217391 [debug] [Thread-3  ]: Writing runtime SQL for node "model.airbyte_utils.user_server_live_stats_scd"
2022-06-07 16:04:49 normalization > 16:04:33.217960 [debug] [Thread-3  ]: On model.airbyte_utils.user_server_live_stats_scd: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.user_server_live_stats_scd"} */
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >   create or replace table `segment-351212`.ggpredict_airbyte.`user_server_live_stats_scd`
2022-06-07 16:04:49 normalization >   partition by range_bucket(
2022-06-07 16:04:49 normalization >             _airbyte_active_row,
2022-06-07 16:04:49 normalization >             generate_array(0, 1, 1)
2022-06-07 16:04:49 normalization >         )
2022-06-07 16:04:49 normalization >   cluster by _airbyte_unique_key_scd, _airbyte_emitted_at
2022-06-07 16:04:49 normalization >   OPTIONS()
2022-06-07 16:04:49 normalization >   as (
2022-06-07 16:04:49 normalization >     
2022-06-07 16:04:49 normalization > -- depends_on: ref('user_server_live_stats_stg')
2022-06-07 16:04:49 normalization > with
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > input_data as (
2022-06-07 16:04:49 normalization >     select *
2022-06-07 16:04:49 normalization >     from `segment-351212`._airbyte_ggpredict_airbyte.`user_server_live_stats_stg`
2022-06-07 16:04:49 normalization >     -- user_server_live_stats from `segment-351212`.ggpredict_airbyte._airbyte_raw_user_server_live_stats
2022-06-07 16:04:49 normalization > ),
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > scd_data as (
2022-06-07 16:04:49 normalization >     -- SQL model to build a Type 2 Slowly Changing Dimension (SCD) table for each record identified by their primary key
2022-06-07 16:04:49 normalization >     select
2022-06-07 16:04:49 normalization >       to_hex(md5(cast(concat(coalesce(cast(id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), '')) as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ))) as _airbyte_unique_key,
2022-06-07 16:04:49 normalization >       id,
2022-06-07 16:04:49 normalization >       csv_data,
2022-06-07 16:04:49 normalization >       inserted_date,
2022-06-07 16:04:49 normalization >       _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >       _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >       _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >       _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >       user_server_stats_id,
2022-06-07 16:04:49 normalization >       _ab_cdc_updated_at as _airbyte_start_at,
2022-06-07 16:04:49 normalization >       lag(_ab_cdc_updated_at) over (
2022-06-07 16:04:49 normalization >         partition by cast(id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > )
2022-06-07 16:04:49 normalization >         order by
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at is null asc,
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at desc,
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at desc,
2022-06-07 16:04:49 normalization >             _ab_cdc_log_pos desc,
2022-06-07 16:04:49 normalization >             _airbyte_emitted_at desc
2022-06-07 16:04:49 normalization >       ) as _airbyte_end_at,
2022-06-07 16:04:49 normalization >       case when row_number() over (
2022-06-07 16:04:49 normalization >         partition by cast(id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > )
2022-06-07 16:04:49 normalization >         order by
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at is null asc,
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at desc,
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at desc,
2022-06-07 16:04:49 normalization >             _ab_cdc_log_pos desc,
2022-06-07 16:04:49 normalization >             _airbyte_emitted_at desc
2022-06-07 16:04:49 normalization >       ) = 1 and _ab_cdc_deleted_at is null then 1 else 0 end as _airbyte_active_row,
2022-06-07 16:04:49 normalization >       _airbyte_ab_id,
2022-06-07 16:04:49 normalization >       _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >       _airbyte_user_server_live_stats_hashid
2022-06-07 16:04:49 normalization >     from input_data
2022-06-07 16:04:49 normalization > ),
2022-06-07 16:04:49 normalization > dedup_data as (
2022-06-07 16:04:49 normalization >     select
2022-06-07 16:04:49 normalization >         -- we need to ensure de-duplicated rows for merge/update queries
2022-06-07 16:04:49 normalization >         -- additionally, we generate a unique key for the scd table
2022-06-07 16:04:49 normalization >         row_number() over (
2022-06-07 16:04:49 normalization >             partition by
2022-06-07 16:04:49 normalization >                 _airbyte_unique_key,
2022-06-07 16:04:49 normalization >                 _airbyte_start_at,
2022-06-07 16:04:49 normalization >                 _airbyte_emitted_at, cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > )
2022-06-07 16:04:49 normalization >             order by _airbyte_active_row desc, _airbyte_ab_id
2022-06-07 16:04:49 normalization >         ) as _airbyte_row_num,
2022-06-07 16:04:49 normalization >         to_hex(md5(cast(concat(coalesce(cast(_airbyte_unique_key as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_airbyte_start_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_airbyte_emitted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), '')) as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ))) as _airbyte_unique_key_scd,
2022-06-07 16:04:49 normalization >         scd_data.*
2022-06-07 16:04:49 normalization >     from scd_data
2022-06-07 16:04:49 normalization > )
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     _airbyte_unique_key,
2022-06-07 16:04:49 normalization >     _airbyte_unique_key_scd,
2022-06-07 16:04:49 normalization >     id,
2022-06-07 16:04:49 normalization >     csv_data,
2022-06-07 16:04:49 normalization >     inserted_date,
2022-06-07 16:04:49 normalization >     _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >     _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >     _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >     _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >     user_server_stats_id,
2022-06-07 16:04:49 normalization >     _airbyte_start_at,
2022-06-07 16:04:49 normalization >     _airbyte_end_at,
2022-06-07 16:04:49 normalization >     _airbyte_active_row,
2022-06-07 16:04:49 normalization >     _airbyte_ab_id,
2022-06-07 16:04:49 normalization >     _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at,
2022-06-07 16:04:49 normalization >     _airbyte_user_server_live_stats_hashid
2022-06-07 16:04:49 normalization > from dedup_data where _airbyte_row_num = 1
2022-06-07 16:04:49 normalization >   );
2022-06-07 16:04:49 normalization >   
2022-06-07 16:04:49 normalization > 16:04:33.310850 [debug] [Thread-6  ]: BigQuery adapter: get_columns_in_relation error: 404 GET https://bigquery.googleapis.com/bigquery/v2/projects/segment-351212/datasets/ggpredict_airbyte/tables/user_training_v2_level_segment_unit_stats_scd?prettyPrint=false: Not found: Table segment-351212:ggpredict_airbyte.user_training_v2_level_segment_unit_stats_scd
2022-06-07 16:04:49 normalization > 16:04:33.313849 [info ] [Thread-6  ]: 16:04:33 + `segment-351212`.ggpredict_airbyte.`user_training_v2_level_segment_unit_stats_scd`._airbyte_ab_id does not exist yet. The table will be created or rebuilt with dbt.full_refresh
2022-06-07 16:04:49 normalization > 16:04:33.321844 [debug] [Thread-6  ]: Writing runtime SQL for node "model.airbyte_utils.user_training_v2_level_segment_unit_stats_scd"
2022-06-07 16:04:49 normalization > 16:04:33.322579 [debug] [Thread-6  ]: On model.airbyte_utils.user_training_v2_level_segment_unit_stats_scd: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.user_training_v2_level_segment_unit_stats_scd"} */
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >   create or replace table `segment-351212`.ggpredict_airbyte.`user_training_v2_level_segment_unit_stats_scd`
2022-06-07 16:04:49 normalization >   partition by range_bucket(
2022-06-07 16:04:49 normalization >             _airbyte_active_row,
2022-06-07 16:04:49 normalization >             generate_array(0, 1, 1)
2022-06-07 16:04:49 normalization >         )
2022-06-07 16:04:49 normalization >   cluster by _airbyte_unique_key_scd, _airbyte_emitted_at
2022-06-07 16:04:49 normalization >   OPTIONS()
2022-06-07 16:04:49 normalization >   as (
2022-06-07 16:04:49 normalization >     
2022-06-07 16:04:49 normalization > -- depends_on: ref('user_training_v2_level_segment_unit_stats_stg')
2022-06-07 16:04:49 normalization > with
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > input_data as (
2022-06-07 16:04:49 normalization >     select *
2022-06-07 16:04:49 normalization >     from `segment-351212`._airbyte_ggpredict_airbyte.`user_training_v2_level_segment_unit_stats_stg`
2022-06-07 16:04:49 normalization >     -- user_training_v2_level_segment_unit_stats from `segment-351212`.ggpredict_airbyte._airbyte_raw_user_training_v2_level_segment_unit_stats
2022-06-07 16:04:49 normalization > ),
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > scd_data as (
2022-06-07 16:04:49 normalization >     -- SQL model to build a Type 2 Slowly Changing Dimension (SCD) table for each record identified by their primary key
2022-06-07 16:04:49 normalization >     select
2022-06-07 16:04:49 normalization >       to_hex(md5(cast(concat(coalesce(cast(id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), '')) as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ))) as _airbyte_unique_key,
2022-06-07 16:04:49 normalization >       id,
2022-06-07 16:04:49 normalization >       map,
2022-06-07 16:04:49 normalization >       kills,
2022-06-07 16:04:49 normalization >       deaths,
2022-06-07 16:04:49 normalization >       assists,
2022-06-07 16:04:49 normalization >       kills_hs,
2022-06-07 16:04:49 normalization >       inserted_date,
2022-06-07 16:04:49 normalization >       play_time_in_s,
2022-06-07 16:04:49 normalization >       _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >       _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >       _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >       _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >       user_training_v2_level_segment_unit_id,
2022-06-07 16:04:49 normalization >       _ab_cdc_updated_at as _airbyte_start_at,
2022-06-07 16:04:49 normalization >       lag(_ab_cdc_updated_at) over (
2022-06-07 16:04:49 normalization >         partition by cast(id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > )
2022-06-07 16:04:49 normalization >         order by
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at is null asc,
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at desc,
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at desc,
2022-06-07 16:04:49 normalization >             _ab_cdc_log_pos desc,
2022-06-07 16:04:49 normalization >             _airbyte_emitted_at desc
2022-06-07 16:04:49 normalization >       ) as _airbyte_end_at,
2022-06-07 16:04:49 normalization >       case when row_number() over (
2022-06-07 16:04:49 normalization >         partition by cast(id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > )
2022-06-07 16:04:49 normalization >         order by
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at is null asc,
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at desc,
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at desc,
2022-06-07 16:04:49 normalization >             _ab_cdc_log_pos desc,
2022-06-07 16:04:49 normalization >             _airbyte_emitted_at desc
2022-06-07 16:04:49 normalization >       ) = 1 and _ab_cdc_deleted_at is null then 1 else 0 end as _airbyte_active_row,
2022-06-07 16:04:49 normalization >       _airbyte_ab_id,
2022-06-07 16:04:49 normalization >       _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >       _airbyte_user_training_v2_level_segment_unit_stats_hashid
2022-06-07 16:04:49 normalization >     from input_data
2022-06-07 16:04:49 normalization > ),
2022-06-07 16:04:49 normalization > dedup_data as (
2022-06-07 16:04:49 normalization >     select
2022-06-07 16:04:49 normalization >         -- we need to ensure de-duplicated rows for merge/update queries
2022-06-07 16:04:49 normalization >         -- additionally, we generate a unique key for the scd table
2022-06-07 16:04:49 normalization >         row_number() over (
2022-06-07 16:04:49 normalization >             partition by
2022-06-07 16:04:49 normalization >                 _airbyte_unique_key,
2022-06-07 16:04:49 normalization >                 _airbyte_start_at,
2022-06-07 16:04:49 normalization >                 _airbyte_emitted_at, cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > )
2022-06-07 16:04:49 normalization >             order by _airbyte_active_row desc, _airbyte_ab_id
2022-06-07 16:04:49 normalization >         ) as _airbyte_row_num,
2022-06-07 16:04:49 normalization >         to_hex(md5(cast(concat(coalesce(cast(_airbyte_unique_key as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_airbyte_start_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_airbyte_emitted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), '')) as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ))) as _airbyte_unique_key_scd,
2022-06-07 16:04:49 normalization >         scd_data.*
2022-06-07 16:04:49 normalization >     from scd_data
2022-06-07 16:04:49 normalization > )
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     _airbyte_unique_key,
2022-06-07 16:04:49 normalization >     _airbyte_unique_key_scd,
2022-06-07 16:04:49 normalization >     id,
2022-06-07 16:04:49 normalization >     map,
2022-06-07 16:04:49 normalization >     kills,
2022-06-07 16:04:49 normalization >     deaths,
2022-06-07 16:04:49 normalization >     assists,
2022-06-07 16:04:49 normalization >     kills_hs,
2022-06-07 16:04:49 normalization >     inserted_date,
2022-06-07 16:04:49 normalization >     play_time_in_s,
2022-06-07 16:04:49 normalization >     _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >     _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >     _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >     _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >     user_training_v2_level_segment_unit_id,
2022-06-07 16:04:49 normalization >     _airbyte_start_at,
2022-06-07 16:04:49 normalization >     _airbyte_end_at,
2022-06-07 16:04:49 normalization >     _airbyte_active_row,
2022-06-07 16:04:49 normalization >     _airbyte_ab_id,
2022-06-07 16:04:49 normalization >     _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at,
2022-06-07 16:04:49 normalization >     _airbyte_user_training_v2_level_segment_unit_stats_hashid
2022-06-07 16:04:49 normalization > from dedup_data where _airbyte_row_num = 1
2022-06-07 16:04:49 normalization >   );
2022-06-07 16:04:49 normalization >   
2022-06-07 16:04:49 normalization > 16:04:34.641407 [debug] [Thread-4  ]: On model.airbyte_utils.missplays_scd: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.missplays_scd"} */
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >         drop view _airbyte_ggpredict_airbyte.missplays_stg
2022-06-07 16:04:49 normalization >       
2022-06-07 16:04:49 normalization > 16:04:34.833956 [debug] [Thread-2  ]: On model.airbyte_utils.coach_matches_scd: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.coach_matches_scd"} */
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >         drop view _airbyte_ggpredict_airbyte.coach_matches_stg
2022-06-07 16:04:49 normalization >       
2022-06-07 16:04:49 normalization > 16:04:34.958448 [debug] [Thread-7  ]: On model.airbyte_utils.user_challenges_scd: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.user_challenges_scd"} */
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >         drop view _airbyte_ggpredict_airbyte.user_challenges_stg
2022-06-07 16:04:49 normalization >       
2022-06-07 16:04:49 normalization > 16:04:34.971298 [debug] [Thread-8  ]: On model.airbyte_utils.user_training_v2_level_segment_unit_start_sessions_scd: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.user_training_v2_level_segment_unit_start_sessions_scd"} */
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >         drop view _airbyte_ggpredict_airbyte.user_training_v2_level_segment_unit_start_sessions_stg
2022-06-07 16:04:49 normalization >       
2022-06-07 16:04:49 normalization > 16:04:35.043704 [debug] [Thread-3  ]: On model.airbyte_utils.user_server_live_stats_scd: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.user_server_live_stats_scd"} */
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >         drop view _airbyte_ggpredict_airbyte.user_server_live_stats_stg
2022-06-07 16:04:49 normalization >       
2022-06-07 16:04:49 normalization > 16:04:35.066782 [debug] [Thread-1  ]: On model.airbyte_utils.user_matches_scd: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.user_matches_scd"} */
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >         drop view _airbyte_ggpredict_airbyte.user_matches_stg
2022-06-07 16:04:49 normalization >       
2022-06-07 16:04:49 normalization > 16:04:35.074871 [debug] [Thread-5  ]: On model.airbyte_utils.user_server_weapon_stats_scd: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.user_server_weapon_stats_scd"} */
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >         drop view _airbyte_ggpredict_airbyte.user_server_weapon_stats_stg
2022-06-07 16:04:49 normalization >       
2022-06-07 16:04:49 normalization > 16:04:35.207109 [debug] [Thread-4  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:35.208474 [info ] [Thread-4  ]: 37 of 78 OK created incremental model ggpredict_airbyte.missplays_scd................................................... [CREATE TABLE (0.0 rows, 0 processed) in 3.04s]
2022-06-07 16:04:49 normalization > 16:04:35.209512 [debug] [Thread-4  ]: Finished running node model.airbyte_utils.missplays_scd
2022-06-07 16:04:49 normalization > 16:04:35.210105 [debug] [Thread-4  ]: Began running node model.airbyte_utils.user_training_v2_level_segment_units_scd
2022-06-07 16:04:49 normalization > 16:04:35.211410 [info ] [Thread-4  ]: 49 of 78 START incremental model ggpredict_airbyte.user_training_v2_level_segment_units_scd............................. [RUN]
2022-06-07 16:04:49 normalization > 16:04:35.212733 [debug] [Thread-4  ]: Acquiring new bigquery connection "model.airbyte_utils.user_training_v2_level_segment_units_scd"
2022-06-07 16:04:49 normalization > 16:04:35.213214 [debug] [Thread-4  ]: Began compiling node model.airbyte_utils.user_training_v2_level_segment_units_scd
2022-06-07 16:04:49 normalization > 16:04:35.213641 [debug] [Thread-4  ]: Compiling model.airbyte_utils.user_training_v2_level_segment_units_scd
2022-06-07 16:04:49 normalization > 16:04:35.243844 [debug] [Thread-4  ]: Writing injected SQL for node "model.airbyte_utils.user_training_v2_level_segment_units_scd"
2022-06-07 16:04:49 normalization > 16:04:35.258329 [debug] [Thread-4  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:35.259054 [debug] [Thread-4  ]: Began executing node model.airbyte_utils.user_training_v2_level_segment_units_scd
2022-06-07 16:04:49 normalization > 16:04:35.264560 [debug] [Thread-4  ]: Opening a new connection, currently in state closed
2022-06-07 16:04:49 normalization > 16:04:35.427341 [debug] [Thread-3  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:35.430486 [info ] [Thread-3  ]: 45 of 78 OK created incremental model ggpredict_airbyte.user_server_live_stats_scd...................................... [CREATE TABLE (0.0 rows, 0 processed) in 2.63s]
2022-06-07 16:04:49 normalization > 16:04:35.435490 [debug] [Thread-2  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:35.437841 [debug] [Thread-3  ]: Finished running node model.airbyte_utils.user_server_live_stats_scd
2022-06-07 16:04:49 normalization > 16:04:35.440492 [debug] [Thread-6  ]: On model.airbyte_utils.user_training_v2_level_segment_unit_stats_scd: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.user_training_v2_level_segment_unit_stats_scd"} */
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >         drop view _airbyte_ggpredict_airbyte.user_training_v2_level_segment_unit_stats_stg
2022-06-07 16:04:49 normalization >       
2022-06-07 16:04:49 normalization > 16:04:35.440813 [info ] [Thread-2  ]: 38 of 78 OK created incremental model ggpredict_airbyte.coach_matches_scd............................................... [CREATE TABLE (0.0 rows, 0 processed) in 3.24s]
2022-06-07 16:04:49 normalization > 16:04:35.441337 [debug] [Thread-3  ]: Began running node model.airbyte_utils.user_training_v2_level_segments_scd
2022-06-07 16:04:49 normalization > 16:04:35.445334 [debug] [Thread-2  ]: Finished running node model.airbyte_utils.coach_matches_scd
2022-06-07 16:04:49 normalization > 16:04:35.445891 [info ] [Thread-3  ]: 50 of 78 START incremental model ggpredict_airbyte.user_training_v2_level_segments_scd.................................. [RUN]
2022-06-07 16:04:49 normalization > 16:04:35.446633 [debug] [Thread-2  ]: Began running node model.airbyte_utils.user_training_v2_levels_scd
2022-06-07 16:04:49 normalization > 16:04:35.448361 [debug] [Thread-3  ]: Acquiring new bigquery connection "model.airbyte_utils.user_training_v2_level_segments_scd"
2022-06-07 16:04:49 normalization > 16:04:35.449074 [info ] [Thread-2  ]: 51 of 78 START incremental model ggpredict_airbyte.user_training_v2_levels_scd.......................................... [RUN]
2022-06-07 16:04:49 normalization > 16:04:35.449448 [debug] [Thread-3  ]: Began compiling node model.airbyte_utils.user_training_v2_level_segments_scd
2022-06-07 16:04:49 normalization > 16:04:35.450715 [debug] [Thread-2  ]: Acquiring new bigquery connection "model.airbyte_utils.user_training_v2_levels_scd"
2022-06-07 16:04:49 normalization > 16:04:35.451162 [debug] [Thread-3  ]: Compiling model.airbyte_utils.user_training_v2_level_segments_scd
2022-06-07 16:04:49 normalization > 16:04:35.451589 [debug] [Thread-2  ]: Began compiling node model.airbyte_utils.user_training_v2_levels_scd
2022-06-07 16:04:49 normalization > 16:04:35.480929 [debug] [Thread-3  ]: Writing injected SQL for node "model.airbyte_utils.user_training_v2_level_segments_scd"
2022-06-07 16:04:49 normalization > 16:04:35.484667 [debug] [Thread-2  ]: Compiling model.airbyte_utils.user_training_v2_levels_scd
2022-06-07 16:04:49 normalization > 16:04:35.487780 [debug] [Thread-4  ]: BigQuery adapter: get_columns_in_relation error: 404 GET https://bigquery.googleapis.com/bigquery/v2/projects/segment-351212/datasets/ggpredict_airbyte/tables/user_training_v2_level_segment_units_scd?prettyPrint=false: Not found: Table segment-351212:ggpredict_airbyte.user_training_v2_level_segment_units_scd
2022-06-07 16:04:49 normalization > 16:04:35.488054 [debug] [Thread-3  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:35.520826 [debug] [Thread-2  ]: Writing injected SQL for node "model.airbyte_utils.user_training_v2_levels_scd"
2022-06-07 16:04:49 normalization > 16:04:35.522964 [info ] [Thread-4  ]: 16:04:35 + `segment-351212`.ggpredict_airbyte.`user_training_v2_level_segment_units_scd`._airbyte_ab_id does not exist yet. The table will be created or rebuilt with dbt.full_refresh
2022-06-07 16:04:49 normalization > 16:04:35.528682 [debug] [Thread-3  ]: Began executing node model.airbyte_utils.user_training_v2_level_segments_scd
2022-06-07 16:04:49 normalization > 16:04:35.534591 [debug] [Thread-2  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:35.537362 [debug] [Thread-4  ]: Writing runtime SQL for node "model.airbyte_utils.user_training_v2_level_segment_units_scd"
2022-06-07 16:04:49 normalization > 16:04:35.542684 [debug] [Thread-3  ]: Opening a new connection, currently in state closed
2022-06-07 16:04:49 normalization > 16:04:35.547909 [debug] [Thread-7  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:35.548418 [debug] [Thread-2  ]: Began executing node model.airbyte_utils.user_training_v2_levels_scd
2022-06-07 16:04:49 normalization > 16:04:35.549617 [debug] [Thread-4  ]: On model.airbyte_utils.user_training_v2_level_segment_units_scd: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.user_training_v2_level_segment_units_scd"} */
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >   create or replace table `segment-351212`.ggpredict_airbyte.`user_training_v2_level_segment_units_scd`
2022-06-07 16:04:49 normalization >   partition by range_bucket(
2022-06-07 16:04:49 normalization >             _airbyte_active_row,
2022-06-07 16:04:49 normalization >             generate_array(0, 1, 1)
2022-06-07 16:04:49 normalization >         )
2022-06-07 16:04:49 normalization >   cluster by _airbyte_unique_key_scd, _airbyte_emitted_at
2022-06-07 16:04:49 normalization >   OPTIONS()
2022-06-07 16:04:49 normalization >   as (
2022-06-07 16:04:49 normalization >     
2022-06-07 16:04:49 normalization > -- depends_on: ref('user_training_v2_level_segment_units_stg')
2022-06-07 16:04:49 normalization > with
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > input_data as (
2022-06-07 16:04:49 normalization >     select *
2022-06-07 16:04:49 normalization >     from `segment-351212`._airbyte_ggpredict_airbyte.`user_training_v2_level_segment_units_stg`
2022-06-07 16:04:49 normalization >     -- user_training_v2_level_segment_units from `segment-351212`.ggpredict_airbyte._airbyte_raw_user_training_v2_level_segment_units
2022-06-07 16:04:49 normalization > ),
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > scd_data as (
2022-06-07 16:04:49 normalization >     -- SQL model to build a Type 2 Slowly Changing Dimension (SCD) table for each record identified by their primary key
2022-06-07 16:04:49 normalization >     select
2022-06-07 16:04:49 normalization >       to_hex(md5(cast(concat(coalesce(cast(id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), '')) as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ))) as _airbyte_unique_key,
2022-06-07 16:04:49 normalization >       id,
2022-06-07 16:04:49 normalization >       goal,
2022-06-07 16:04:49 normalization >       name,
2022-06-07 16:04:49 normalization >       status,
2022-06-07 16:04:49 normalization >       goal_type,
2022-06-07 16:04:49 normalization >       started_date,
2022-06-07 16:04:49 normalization >       completed_date,
2022-06-07 16:04:49 normalization >       _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >       message_variant,
2022-06-07 16:04:49 normalization >       _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >       current_progress,
2022-06-07 16:04:49 normalization >       manual_completed,
2022-06-07 16:04:49 normalization >       _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >       _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >       user_training_v2_level_segment_id,
2022-06-07 16:04:49 normalization >       _ab_cdc_updated_at as _airbyte_start_at,
2022-06-07 16:04:49 normalization >       lag(_ab_cdc_updated_at) over (
2022-06-07 16:04:49 normalization >         partition by cast(id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > )
2022-06-07 16:04:49 normalization >         order by
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at is null asc,
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at desc,
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at desc,
2022-06-07 16:04:49 normalization >             _ab_cdc_log_pos desc,
2022-06-07 16:04:49 normalization >             _airbyte_emitted_at desc
2022-06-07 16:04:49 normalization >       ) as _airbyte_end_at,
2022-06-07 16:04:49 normalization >       case when row_number() over (
2022-06-07 16:04:49 normalization >         partition by cast(id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > )
2022-06-07 16:04:49 normalization >         order by
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at is null asc,
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at desc,
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at desc,
2022-06-07 16:04:49 normalization >             _ab_cdc_log_pos desc,
2022-06-07 16:04:49 normalization >             _airbyte_emitted_at desc
2022-06-07 16:04:49 normalization >       ) = 1 and _ab_cdc_deleted_at is null then 1 else 0 end as _airbyte_active_row,
2022-06-07 16:04:49 normalization >       _airbyte_ab_id,
2022-06-07 16:04:49 normalization >       _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >       _airbyte_user_training_v2_level_segment_units_hashid
2022-06-07 16:04:49 normalization >     from input_data
2022-06-07 16:04:49 normalization > ),
2022-06-07 16:04:49 normalization > dedup_data as (
2022-06-07 16:04:49 normalization >     select
2022-06-07 16:04:49 normalization >         -- we need to ensure de-duplicated rows for merge/update queries
2022-06-07 16:04:49 normalization >         -- additionally, we generate a unique key for the scd table
2022-06-07 16:04:49 normalization >         row_number() over (
2022-06-07 16:04:49 normalization >             partition by
2022-06-07 16:04:49 normalization >                 _airbyte_unique_key,
2022-06-07 16:04:49 normalization >                 _airbyte_start_at,
2022-06-07 16:04:49 normalization >                 _airbyte_emitted_at, cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > )
2022-06-07 16:04:49 normalization >             order by _airbyte_active_row desc, _airbyte_ab_id
2022-06-07 16:04:49 normalization >         ) as _airbyte_row_num,
2022-06-07 16:04:49 normalization >         to_hex(md5(cast(concat(coalesce(cast(_airbyte_unique_key as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_airbyte_start_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_airbyte_emitted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), '')) as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ))) as _airbyte_unique_key_scd,
2022-06-07 16:04:49 normalization >         scd_data.*
2022-06-07 16:04:49 normalization >     from scd_data
2022-06-07 16:04:49 normalization > )
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     _airbyte_unique_key,
2022-06-07 16:04:49 normalization >     _airbyte_unique_key_scd,
2022-06-07 16:04:49 normalization >     id,
2022-06-07 16:04:49 normalization >     goal,
2022-06-07 16:04:49 normalization >     name,
2022-06-07 16:04:49 normalization >     status,
2022-06-07 16:04:49 normalization >     goal_type,
2022-06-07 16:04:49 normalization >     started_date,
2022-06-07 16:04:49 normalization >     completed_date,
2022-06-07 16:04:49 normalization >     _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >     message_variant,
2022-06-07 16:04:49 normalization >     _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >     current_progress,
2022-06-07 16:04:49 normalization >     manual_completed,
2022-06-07 16:04:49 normalization >     _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >     _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >     user_training_v2_level_segment_id,
2022-06-07 16:04:49 normalization >     _airbyte_start_at,
2022-06-07 16:04:49 normalization >     _airbyte_end_at,
2022-06-07 16:04:49 normalization >     _airbyte_active_row,
2022-06-07 16:04:49 normalization >     _airbyte_ab_id,
2022-06-07 16:04:49 normalization >     _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at,
2022-06-07 16:04:49 normalization >     _airbyte_user_training_v2_level_segment_units_hashid
2022-06-07 16:04:49 normalization > from dedup_data where _airbyte_row_num = 1
2022-06-07 16:04:49 normalization >   );
2022-06-07 16:04:49 normalization >   
2022-06-07 16:04:49 normalization > 16:04:35.551000 [info ] [Thread-7  ]: 39 of 78 OK created incremental model ggpredict_airbyte.user_challenges_scd............................................. [CREATE TABLE (0.0 rows, 0 processed) in 3.11s]
2022-06-07 16:04:49 normalization > 16:04:35.557747 [debug] [Thread-2  ]: Opening a new connection, currently in state closed
2022-06-07 16:04:49 normalization > 16:04:35.563492 [debug] [Thread-7  ]: Finished running node model.airbyte_utils.user_challenges_scd
2022-06-07 16:04:49 normalization > 16:04:35.565987 [debug] [Thread-7  ]: Began running node model.airbyte_utils.users_scd
2022-06-07 16:04:49 normalization > 16:04:35.566943 [info ] [Thread-7  ]: 52 of 78 START incremental model ggpredict_airbyte.users_scd............................................................ [RUN]
2022-06-07 16:04:49 normalization > 16:04:35.567969 [debug] [Thread-7  ]: Acquiring new bigquery connection "model.airbyte_utils.users_scd"
2022-06-07 16:04:49 normalization > 16:04:35.568338 [debug] [Thread-7  ]: Began compiling node model.airbyte_utils.users_scd
2022-06-07 16:04:49 normalization > 16:04:35.568850 [debug] [Thread-7  ]: Compiling model.airbyte_utils.users_scd
2022-06-07 16:04:49 normalization > 16:04:35.602355 [debug] [Thread-7  ]: Writing injected SQL for node "model.airbyte_utils.users_scd"
2022-06-07 16:04:49 normalization > 16:04:35.609650 [debug] [Thread-8  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:35.612184 [info ] [Thread-8  ]: 42 of 78 OK created incremental model ggpredict_airbyte.user_training_v2_level_segment_unit_start_sessions_scd.......... [CREATE TABLE (0.0 rows, 0 processed) in 3.07s]
2022-06-07 16:04:49 normalization > 16:04:35.614368 [debug] [Thread-7  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:35.621702 [debug] [Thread-8  ]: Finished running node model.airbyte_utils.user_training_v2_level_segment_unit_start_sessions_scd
2022-06-07 16:04:49 normalization > 16:04:35.625523 [debug] [Thread-7  ]: Began executing node model.airbyte_utils.users_scd
2022-06-07 16:04:49 normalization > 16:04:35.629246 [debug] [Thread-8  ]: Began running node model.airbyte_utils.user_training_v2_streaks_scd
2022-06-07 16:04:49 normalization > 16:04:35.642100 [debug] [Thread-7  ]: Opening a new connection, currently in state closed
2022-06-07 16:04:49 normalization > 16:04:35.642933 [info ] [Thread-8  ]: 53 of 78 START incremental model ggpredict_airbyte.user_training_v2_streaks_scd......................................... [RUN]
2022-06-07 16:04:49 normalization > 16:04:35.644559 [debug] [Thread-8  ]: Acquiring new bigquery connection "model.airbyte_utils.user_training_v2_streaks_scd"
2022-06-07 16:04:49 normalization > 16:04:35.645029 [debug] [Thread-8  ]: Began compiling node model.airbyte_utils.user_training_v2_streaks_scd
2022-06-07 16:04:49 normalization > 16:04:35.646666 [debug] [Thread-8  ]: Compiling model.airbyte_utils.user_training_v2_streaks_scd
2022-06-07 16:04:49 normalization > 16:04:35.684492 [debug] [Thread-8  ]: Writing injected SQL for node "model.airbyte_utils.user_training_v2_streaks_scd"
2022-06-07 16:04:49 normalization > 16:04:35.690942 [debug] [Thread-1  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:35.692415 [debug] [Thread-8  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:35.693643 [info ] [Thread-1  ]: 44 of 78 OK created incremental model ggpredict_airbyte.user_matches_scd................................................ [CREATE TABLE (0.0 rows, 0 processed) in 3.07s]
2022-06-07 16:04:49 normalization > 16:04:35.694515 [debug] [Thread-8  ]: Began executing node model.airbyte_utils.user_training_v2_streaks_scd
2022-06-07 16:04:49 normalization > 16:04:35.695525 [debug] [Thread-1  ]: Finished running node model.airbyte_utils.user_matches_scd
2022-06-07 16:04:49 normalization > 16:04:35.702784 [debug] [Thread-8  ]: Opening a new connection, currently in state closed
2022-06-07 16:04:49 normalization > 16:04:35.703691 [debug] [Thread-1  ]: Began running node model.airbyte_utils.user_training_v2_unit_tags_scd
2022-06-07 16:04:49 normalization > 16:04:35.708801 [debug] [Thread-5  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:35.709972 [info ] [Thread-1  ]: 54 of 78 START incremental model ggpredict_airbyte.user_training_v2_unit_tags_scd....................................... [RUN]
2022-06-07 16:04:49 normalization > 16:04:35.710925 [info ] [Thread-5  ]: 43 of 78 OK created incremental model ggpredict_airbyte.user_server_weapon_stats_scd.................................... [CREATE TABLE (0.0 rows, 0 processed) in 3.17s]
2022-06-07 16:04:49 normalization > 16:04:35.711933 [debug] [Thread-1  ]: Acquiring new bigquery connection "model.airbyte_utils.user_training_v2_unit_tags_scd"
2022-06-07 16:04:49 normalization > 16:04:35.712556 [debug] [Thread-5  ]: Finished running node model.airbyte_utils.user_server_weapon_stats_scd
2022-06-07 16:04:49 normalization > 16:04:35.712840 [debug] [Thread-1  ]: Began compiling node model.airbyte_utils.user_training_v2_unit_tags_scd
2022-06-07 16:04:49 normalization > 16:04:35.713191 [debug] [Thread-5  ]: Began running node model.airbyte_utils.coach_match_missplays_in_rounds
2022-06-07 16:04:49 normalization > 16:04:35.713943 [debug] [Thread-1  ]: Compiling model.airbyte_utils.user_training_v2_unit_tags_scd
2022-06-07 16:04:49 normalization > 16:04:35.714310 [info ] [Thread-5  ]: 55 of 78 START incremental model ggpredict_airbyte.coach_match_missplays_in_rounds...................................... [RUN]
2022-06-07 16:04:49 normalization > 16:04:35.726264 [debug] [Thread-5  ]: Acquiring new bigquery connection "model.airbyte_utils.coach_match_missplays_in_rounds"
2022-06-07 16:04:49 normalization > 16:04:35.741637 [debug] [Thread-1  ]: Writing injected SQL for node "model.airbyte_utils.user_training_v2_unit_tags_scd"
2022-06-07 16:04:49 normalization > 16:04:35.742189 [debug] [Thread-5  ]: Began compiling node model.airbyte_utils.coach_match_missplays_in_rounds
2022-06-07 16:04:49 normalization > 16:04:35.747713 [debug] [Thread-5  ]: Compiling model.airbyte_utils.coach_match_missplays_in_rounds
2022-06-07 16:04:49 normalization > 16:04:35.748279 [debug] [Thread-1  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:35.764092 [debug] [Thread-5  ]: Writing injected SQL for node "model.airbyte_utils.coach_match_missplays_in_rounds"
2022-06-07 16:04:49 normalization > 16:04:35.764535 [debug] [Thread-1  ]: Began executing node model.airbyte_utils.user_training_v2_unit_tags_scd
2022-06-07 16:04:49 normalization > 16:04:35.775554 [debug] [Thread-1  ]: Opening a new connection, currently in state closed
2022-06-07 16:04:49 normalization > 16:04:35.776250 [debug] [Thread-5  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:35.776593 [debug] [Thread-5  ]: Began executing node model.airbyte_utils.coach_match_missplays_in_rounds
2022-06-07 16:04:49 normalization > 16:04:35.781202 [debug] [Thread-5  ]: Opening a new connection, currently in state closed
2022-06-07 16:04:49 normalization > 16:04:35.802437 [debug] [Thread-3  ]: BigQuery adapter: get_columns_in_relation error: 404 GET https://bigquery.googleapis.com/bigquery/v2/projects/segment-351212/datasets/ggpredict_airbyte/tables/user_training_v2_level_segments_scd?prettyPrint=false: Not found: Table segment-351212:ggpredict_airbyte.user_training_v2_level_segments_scd
2022-06-07 16:04:49 normalization > 16:04:35.804480 [info ] [Thread-3  ]: 16:04:35 + `segment-351212`.ggpredict_airbyte.`user_training_v2_level_segments_scd`._airbyte_ab_id does not exist yet. The table will be created or rebuilt with dbt.full_refresh
2022-06-07 16:04:49 normalization > 16:04:35.808333 [debug] [Thread-3  ]: Writing runtime SQL for node "model.airbyte_utils.user_training_v2_level_segments_scd"
2022-06-07 16:04:49 normalization > 16:04:35.808677 [debug] [Thread-3  ]: On model.airbyte_utils.user_training_v2_level_segments_scd: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.user_training_v2_level_segments_scd"} */
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >   create or replace table `segment-351212`.ggpredict_airbyte.`user_training_v2_level_segments_scd`
2022-06-07 16:04:49 normalization >   partition by range_bucket(
2022-06-07 16:04:49 normalization >             _airbyte_active_row,
2022-06-07 16:04:49 normalization >             generate_array(0, 1, 1)
2022-06-07 16:04:49 normalization >         )
2022-06-07 16:04:49 normalization >   cluster by _airbyte_unique_key_scd, _airbyte_emitted_at
2022-06-07 16:04:49 normalization >   OPTIONS()
2022-06-07 16:04:49 normalization >   as (
2022-06-07 16:04:49 normalization >     
2022-06-07 16:04:49 normalization > -- depends_on: ref('user_training_v2_level_segments_stg')
2022-06-07 16:04:49 normalization > with
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > input_data as (
2022-06-07 16:04:49 normalization >     select *
2022-06-07 16:04:49 normalization >     from `segment-351212`._airbyte_ggpredict_airbyte.`user_training_v2_level_segments_stg`
2022-06-07 16:04:49 normalization >     -- user_training_v2_level_segments from `segment-351212`.ggpredict_airbyte._airbyte_raw_user_training_v2_level_segments
2022-06-07 16:04:49 normalization > ),
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > scd_data as (
2022-06-07 16:04:49 normalization >     -- SQL model to build a Type 2 Slowly Changing Dimension (SCD) table for each record identified by their primary key
2022-06-07 16:04:49 normalization >     select
2022-06-07 16:04:49 normalization >       to_hex(md5(cast(concat(coalesce(cast(id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), '')) as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ))) as _airbyte_unique_key,
2022-06-07 16:04:49 normalization >       id,
2022-06-07 16:04:49 normalization >       name,
2022-06-07 16:04:49 normalization >       is_done,
2022-06-07 16:04:49 normalization >       _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >       _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >       current_progress,
2022-06-07 16:04:49 normalization >       _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >       _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >       user_training_v2_level_id,
2022-06-07 16:04:49 normalization >       user_training_stats_per_level_id,
2022-06-07 16:04:49 normalization >       _ab_cdc_updated_at as _airbyte_start_at,
2022-06-07 16:04:49 normalization >       lag(_ab_cdc_updated_at) over (
2022-06-07 16:04:49 normalization >         partition by cast(id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > )
2022-06-07 16:04:49 normalization >         order by
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at is null asc,
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at desc,
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at desc,
2022-06-07 16:04:49 normalization >             _ab_cdc_log_pos desc,
2022-06-07 16:04:49 normalization >             _airbyte_emitted_at desc
2022-06-07 16:04:49 normalization >       ) as _airbyte_end_at,
2022-06-07 16:04:49 normalization >       case when row_number() over (
2022-06-07 16:04:49 normalization >         partition by cast(id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > )
2022-06-07 16:04:49 normalization >         order by
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at is null asc,
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at desc,
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at desc,
2022-06-07 16:04:49 normalization >             _ab_cdc_log_pos desc,
2022-06-07 16:04:49 normalization >             _airbyte_emitted_at desc
2022-06-07 16:04:49 normalization >       ) = 1 and _ab_cdc_deleted_at is null then 1 else 0 end as _airbyte_active_row,
2022-06-07 16:04:49 normalization >       _airbyte_ab_id,
2022-06-07 16:04:49 normalization >       _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >       _airbyte_user_training_v2_level_segments_hashid
2022-06-07 16:04:49 normalization >     from input_data
2022-06-07 16:04:49 normalization > ),
2022-06-07 16:04:49 normalization > dedup_data as (
2022-06-07 16:04:49 normalization >     select
2022-06-07 16:04:49 normalization >         -- we need to ensure de-duplicated rows for merge/update queries
2022-06-07 16:04:49 normalization >         -- additionally, we generate a unique key for the scd table
2022-06-07 16:04:49 normalization >         row_number() over (
2022-06-07 16:04:49 normalization >             partition by
2022-06-07 16:04:49 normalization >                 _airbyte_unique_key,
2022-06-07 16:04:49 normalization >                 _airbyte_start_at,
2022-06-07 16:04:49 normalization >                 _airbyte_emitted_at, cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > )
2022-06-07 16:04:49 normalization >             order by _airbyte_active_row desc, _airbyte_ab_id
2022-06-07 16:04:49 normalization >         ) as _airbyte_row_num,
2022-06-07 16:04:49 normalization >         to_hex(md5(cast(concat(coalesce(cast(_airbyte_unique_key as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_airbyte_start_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_airbyte_emitted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), '')) as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ))) as _airbyte_unique_key_scd,
2022-06-07 16:04:49 normalization >         scd_data.*
2022-06-07 16:04:49 normalization >     from scd_data
2022-06-07 16:04:49 normalization > )
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     _airbyte_unique_key,
2022-06-07 16:04:49 normalization >     _airbyte_unique_key_scd,
2022-06-07 16:04:49 normalization >     id,
2022-06-07 16:04:49 normalization >     name,
2022-06-07 16:04:49 normalization >     is_done,
2022-06-07 16:04:49 normalization >     _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >     _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >     current_progress,
2022-06-07 16:04:49 normalization >     _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >     _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >     user_training_v2_level_id,
2022-06-07 16:04:49 normalization >     user_training_stats_per_level_id,
2022-06-07 16:04:49 normalization >     _airbyte_start_at,
2022-06-07 16:04:49 normalization >     _airbyte_end_at,
2022-06-07 16:04:49 normalization >     _airbyte_active_row,
2022-06-07 16:04:49 normalization >     _airbyte_ab_id,
2022-06-07 16:04:49 normalization >     _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at,
2022-06-07 16:04:49 normalization >     _airbyte_user_training_v2_level_segments_hashid
2022-06-07 16:04:49 normalization > from dedup_data where _airbyte_row_num = 1
2022-06-07 16:04:49 normalization >   );
2022-06-07 16:04:49 normalization >   
2022-06-07 16:04:49 normalization > 16:04:35.843927 [debug] [Thread-2  ]: BigQuery adapter: get_columns_in_relation error: 404 GET https://bigquery.googleapis.com/bigquery/v2/projects/segment-351212/datasets/ggpredict_airbyte/tables/user_training_v2_levels_scd?prettyPrint=false: Not found: Table segment-351212:ggpredict_airbyte.user_training_v2_levels_scd
2022-06-07 16:04:49 normalization > 16:04:35.846058 [info ] [Thread-2  ]: 16:04:35 + `segment-351212`.ggpredict_airbyte.`user_training_v2_levels_scd`._airbyte_ab_id does not exist yet. The table will be created or rebuilt with dbt.full_refresh
2022-06-07 16:04:49 normalization > 16:04:35.856042 [debug] [Thread-2  ]: Writing runtime SQL for node "model.airbyte_utils.user_training_v2_levels_scd"
2022-06-07 16:04:49 normalization > 16:04:35.859997 [debug] [Thread-2  ]: On model.airbyte_utils.user_training_v2_levels_scd: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.user_training_v2_levels_scd"} */
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >   create or replace table `segment-351212`.ggpredict_airbyte.`user_training_v2_levels_scd`
2022-06-07 16:04:49 normalization >   partition by range_bucket(
2022-06-07 16:04:49 normalization >             _airbyte_active_row,
2022-06-07 16:04:49 normalization >             generate_array(0, 1, 1)
2022-06-07 16:04:49 normalization >         )
2022-06-07 16:04:49 normalization >   cluster by _airbyte_unique_key_scd, _airbyte_emitted_at
2022-06-07 16:04:49 normalization >   OPTIONS()
2022-06-07 16:04:49 normalization >   as (
2022-06-07 16:04:49 normalization >     
2022-06-07 16:04:49 normalization > -- depends_on: ref('user_training_v2_levels_stg')
2022-06-07 16:04:49 normalization > with
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > input_data as (
2022-06-07 16:04:49 normalization >     select *
2022-06-07 16:04:49 normalization >     from `segment-351212`._airbyte_ggpredict_airbyte.`user_training_v2_levels_stg`
2022-06-07 16:04:49 normalization >     -- user_training_v2_levels from `segment-351212`.ggpredict_airbyte._airbyte_raw_user_training_v2_levels
2022-06-07 16:04:49 normalization > ),
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > scd_data as (
2022-06-07 16:04:49 normalization >     -- SQL model to build a Type 2 Slowly Changing Dimension (SCD) table for each record identified by their primary key
2022-06-07 16:04:49 normalization >     select
2022-06-07 16:04:49 normalization >       to_hex(md5(cast(concat(coalesce(cast(id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), '')) as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ))) as _airbyte_unique_key,
2022-06-07 16:04:49 normalization >       id,
2022-06-07 16:04:49 normalization >       level,
2022-06-07 16:04:49 normalization >       finished_date,
2022-06-07 16:04:49 normalization >       inserted_date,
2022-06-07 16:04:49 normalization >       _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >       current_overall,
2022-06-07 16:04:49 normalization >       _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >       overall_at_start,
2022-06-07 16:04:49 normalization >       _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >       _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >       user_training_v2_id,
2022-06-07 16:04:49 normalization >       _ab_cdc_updated_at as _airbyte_start_at,
2022-06-07 16:04:49 normalization >       lag(_ab_cdc_updated_at) over (
2022-06-07 16:04:49 normalization >         partition by cast(id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > )
2022-06-07 16:04:49 normalization >         order by
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at is null asc,
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at desc,
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at desc,
2022-06-07 16:04:49 normalization >             _ab_cdc_log_pos desc,
2022-06-07 16:04:49 normalization >             _airbyte_emitted_at desc
2022-06-07 16:04:49 normalization >       ) as _airbyte_end_at,
2022-06-07 16:04:49 normalization >       case when row_number() over (
2022-06-07 16:04:49 normalization >         partition by cast(id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > )
2022-06-07 16:04:49 normalization >         order by
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at is null asc,
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at desc,
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at desc,
2022-06-07 16:04:49 normalization >             _ab_cdc_log_pos desc,
2022-06-07 16:04:49 normalization >             _airbyte_emitted_at desc
2022-06-07 16:04:49 normalization >       ) = 1 and _ab_cdc_deleted_at is null then 1 else 0 end as _airbyte_active_row,
2022-06-07 16:04:49 normalization >       _airbyte_ab_id,
2022-06-07 16:04:49 normalization >       _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >       _airbyte_user_training_v2_levels_hashid
2022-06-07 16:04:49 normalization >     from input_data
2022-06-07 16:04:49 normalization > ),
2022-06-07 16:04:49 normalization > dedup_data as (
2022-06-07 16:04:49 normalization >     select
2022-06-07 16:04:49 normalization >         -- we need to ensure de-duplicated rows for merge/update queries
2022-06-07 16:04:49 normalization >         -- additionally, we generate a unique key for the scd table
2022-06-07 16:04:49 normalization >         row_number() over (
2022-06-07 16:04:49 normalization >             partition by
2022-06-07 16:04:49 normalization >                 _airbyte_unique_key,
2022-06-07 16:04:49 normalization >                 _airbyte_start_at,
2022-06-07 16:04:49 normalization >                 _airbyte_emitted_at, cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > )
2022-06-07 16:04:49 normalization >             order by _airbyte_active_row desc, _airbyte_ab_id
2022-06-07 16:04:49 normalization >         ) as _airbyte_row_num,
2022-06-07 16:04:49 normalization >         to_hex(md5(cast(concat(coalesce(cast(_airbyte_unique_key as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_airbyte_start_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_airbyte_emitted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), '')) as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ))) as _airbyte_unique_key_scd,
2022-06-07 16:04:49 normalization >         scd_data.*
2022-06-07 16:04:49 normalization >     from scd_data
2022-06-07 16:04:49 normalization > )
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     _airbyte_unique_key,
2022-06-07 16:04:49 normalization >     _airbyte_unique_key_scd,
2022-06-07 16:04:49 normalization >     id,
2022-06-07 16:04:49 normalization >     level,
2022-06-07 16:04:49 normalization >     finished_date,
2022-06-07 16:04:49 normalization >     inserted_date,
2022-06-07 16:04:49 normalization >     _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >     current_overall,
2022-06-07 16:04:49 normalization >     _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >     overall_at_start,
2022-06-07 16:04:49 normalization >     _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >     _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >     user_training_v2_id,
2022-06-07 16:04:49 normalization >     _airbyte_start_at,
2022-06-07 16:04:49 normalization >     _airbyte_end_at,
2022-06-07 16:04:49 normalization >     _airbyte_active_row,
2022-06-07 16:04:49 normalization >     _airbyte_ab_id,
2022-06-07 16:04:49 normalization >     _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at,
2022-06-07 16:04:49 normalization >     _airbyte_user_training_v2_levels_hashid
2022-06-07 16:04:49 normalization > from dedup_data where _airbyte_row_num = 1
2022-06-07 16:04:49 normalization >   );
2022-06-07 16:04:49 normalization >   
2022-06-07 16:04:49 normalization > 16:04:35.964980 [debug] [Thread-8  ]: BigQuery adapter: get_columns_in_relation error: 404 GET https://bigquery.googleapis.com/bigquery/v2/projects/segment-351212/datasets/ggpredict_airbyte/tables/user_training_v2_streaks_scd?prettyPrint=false: Not found: Table segment-351212:ggpredict_airbyte.user_training_v2_streaks_scd
2022-06-07 16:04:49 normalization > 16:04:35.967407 [info ] [Thread-8  ]: 16:04:35 + `segment-351212`.ggpredict_airbyte.`user_training_v2_streaks_scd`._airbyte_ab_id does not exist yet. The table will be created or rebuilt with dbt.full_refresh
2022-06-07 16:04:49 normalization > 16:04:35.976509 [debug] [Thread-8  ]: Writing runtime SQL for node "model.airbyte_utils.user_training_v2_streaks_scd"
2022-06-07 16:04:49 normalization > 16:04:35.978694 [debug] [Thread-5  ]: BigQuery adapter: get_columns_in_relation error: 404 GET https://bigquery.googleapis.com/bigquery/v2/projects/segment-351212/datasets/ggpredict_airbyte/tables/coach_match_missplays_in_rounds?prettyPrint=false: Not found: Table segment-351212:ggpredict_airbyte.coach_match_missplays_in_rounds
2022-06-07 16:04:49 normalization > 16:04:35.982524 [info ] [Thread-5  ]: 16:04:35 + `segment-351212`.ggpredict_airbyte.`coach_match_missplays_in_rounds`._airbyte_ab_id does not exist yet. The table will be created or rebuilt with dbt.full_refresh
2022-06-07 16:04:49 normalization > 16:04:35.982997 [debug] [Thread-8  ]: On model.airbyte_utils.user_training_v2_streaks_scd: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.user_training_v2_streaks_scd"} */
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >   create or replace table `segment-351212`.ggpredict_airbyte.`user_training_v2_streaks_scd`
2022-06-07 16:04:49 normalization >   partition by range_bucket(
2022-06-07 16:04:49 normalization >             _airbyte_active_row,
2022-06-07 16:04:49 normalization >             generate_array(0, 1, 1)
2022-06-07 16:04:49 normalization >         )
2022-06-07 16:04:49 normalization >   cluster by _airbyte_unique_key_scd, _airbyte_emitted_at
2022-06-07 16:04:49 normalization >   OPTIONS()
2022-06-07 16:04:49 normalization >   as (
2022-06-07 16:04:49 normalization >     
2022-06-07 16:04:49 normalization > -- depends_on: ref('user_training_v2_streaks_stg')
2022-06-07 16:04:49 normalization > with
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > input_data as (
2022-06-07 16:04:49 normalization >     select *
2022-06-07 16:04:49 normalization >     from `segment-351212`._airbyte_ggpredict_airbyte.`user_training_v2_streaks_stg`
2022-06-07 16:04:49 normalization >     -- user_training_v2_streaks from `segment-351212`.ggpredict_airbyte._airbyte_raw_user_training_v2_streaks
2022-06-07 16:04:49 normalization > ),
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > scd_data as (
2022-06-07 16:04:49 normalization >     -- SQL model to build a Type 2 Slowly Changing Dimension (SCD) table for each record identified by their primary key
2022-06-07 16:04:49 normalization >     select
2022-06-07 16:04:49 normalization >       to_hex(md5(cast(concat(coalesce(cast(id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), '')) as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ))) as _airbyte_unique_key,
2022-06-07 16:04:49 normalization >       id,
2022-06-07 16:04:49 normalization >       value,
2022-06-07 16:04:49 normalization >       last_update,
2022-06-07 16:04:49 normalization >       _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >       _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >       _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >       _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >       user_training_v2_id,
2022-06-07 16:04:49 normalization >       _ab_cdc_updated_at as _airbyte_start_at,
2022-06-07 16:04:49 normalization >       lag(_ab_cdc_updated_at) over (
2022-06-07 16:04:49 normalization >         partition by cast(id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > )
2022-06-07 16:04:49 normalization >         order by
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at is null asc,
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at desc,
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at desc,
2022-06-07 16:04:49 normalization >             _ab_cdc_log_pos desc,
2022-06-07 16:04:49 normalization >             _airbyte_emitted_at desc
2022-06-07 16:04:49 normalization >       ) as _airbyte_end_at,
2022-06-07 16:04:49 normalization >       case when row_number() over (
2022-06-07 16:04:49 normalization >         partition by cast(id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > )
2022-06-07 16:04:49 normalization >         order by
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at is null asc,
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at desc,
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at desc,
2022-06-07 16:04:49 normalization >             _ab_cdc_log_pos desc,
2022-06-07 16:04:49 normalization >             _airbyte_emitted_at desc
2022-06-07 16:04:49 normalization >       ) = 1 and _ab_cdc_deleted_at is null then 1 else 0 end as _airbyte_active_row,
2022-06-07 16:04:49 normalization >       _airbyte_ab_id,
2022-06-07 16:04:49 normalization >       _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >       _airbyte_user_training_v2_streaks_hashid
2022-06-07 16:04:49 normalization >     from input_data
2022-06-07 16:04:49 normalization > ),
2022-06-07 16:04:49 normalization > dedup_data as (
2022-06-07 16:04:49 normalization >     select
2022-06-07 16:04:49 normalization >         -- we need to ensure de-duplicated rows for merge/update queries
2022-06-07 16:04:49 normalization >         -- additionally, we generate a unique key for the scd table
2022-06-07 16:04:49 normalization >         row_number() over (
2022-06-07 16:04:49 normalization >             partition by
2022-06-07 16:04:49 normalization >                 _airbyte_unique_key,
2022-06-07 16:04:49 normalization >                 _airbyte_start_at,
2022-06-07 16:04:49 normalization >                 _airbyte_emitted_at, cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > )
2022-06-07 16:04:49 normalization >             order by _airbyte_active_row desc, _airbyte_ab_id
2022-06-07 16:04:49 normalization >         ) as _airbyte_row_num,
2022-06-07 16:04:49 normalization >         to_hex(md5(cast(concat(coalesce(cast(_airbyte_unique_key as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_airbyte_start_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_airbyte_emitted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), '')) as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ))) as _airbyte_unique_key_scd,
2022-06-07 16:04:49 normalization >         scd_data.*
2022-06-07 16:04:49 normalization >     from scd_data
2022-06-07 16:04:49 normalization > )
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     _airbyte_unique_key,
2022-06-07 16:04:49 normalization >     _airbyte_unique_key_scd,
2022-06-07 16:04:49 normalization >     id,
2022-06-07 16:04:49 normalization >     value,
2022-06-07 16:04:49 normalization >     last_update,
2022-06-07 16:04:49 normalization >     _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >     _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >     _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >     _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >     user_training_v2_id,
2022-06-07 16:04:49 normalization >     _airbyte_start_at,
2022-06-07 16:04:49 normalization >     _airbyte_end_at,
2022-06-07 16:04:49 normalization >     _airbyte_active_row,
2022-06-07 16:04:49 normalization >     _airbyte_ab_id,
2022-06-07 16:04:49 normalization >     _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at,
2022-06-07 16:04:49 normalization >     _airbyte_user_training_v2_streaks_hashid
2022-06-07 16:04:49 normalization > from dedup_data where _airbyte_row_num = 1
2022-06-07 16:04:49 normalization >   );
2022-06-07 16:04:49 normalization >   
2022-06-07 16:04:49 normalization > 16:04:35.990226 [debug] [Thread-5  ]: Writing runtime SQL for node "model.airbyte_utils.coach_match_missplays_in_rounds"
2022-06-07 16:04:49 normalization > 16:04:35.993847 [debug] [Thread-5  ]: On model.airbyte_utils.coach_match_missplays_in_rounds: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.coach_match_missplays_in_rounds"} */
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >   create or replace table `segment-351212`.ggpredict_airbyte.`coach_match_missplays_in_rounds`
2022-06-07 16:04:49 normalization >   partition by timestamp_trunc(_airbyte_emitted_at, day)
2022-06-07 16:04:49 normalization >   cluster by _airbyte_unique_key, _airbyte_emitted_at
2022-06-07 16:04:49 normalization >   OPTIONS()
2022-06-07 16:04:49 normalization >   as (
2022-06-07 16:04:49 normalization >     
2022-06-07 16:04:49 normalization > -- Final base SQL model
2022-06-07 16:04:49 normalization > -- depends_on: `segment-351212`.ggpredict_airbyte.`coach_match_missplays_in_rounds_scd`
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     _airbyte_unique_key,
2022-06-07 16:04:49 normalization >     x,
2022-06-07 16:04:49 normalization >     y,
2022-06-07 16:04:49 normalization >     z,
2022-06-07 16:04:49 normalization >     id,
2022-06-07 16:04:49 normalization >     time,
2022-06-07 16:04:49 normalization >     round,
2022-06-07 16:04:49 normalization >     missplay_id,
2022-06-07 16:04:49 normalization >     coach_match_id,
2022-06-07 16:04:49 normalization >     _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >     coach_player_id,
2022-06-07 16:04:49 normalization >     _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >     _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >     _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >     _airbyte_ab_id,
2022-06-07 16:04:49 normalization >     _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at,
2022-06-07 16:04:49 normalization >     _airbyte_coach_match_missplays_in_rounds_hashid
2022-06-07 16:04:49 normalization > from `segment-351212`.ggpredict_airbyte.`coach_match_missplays_in_rounds_scd`
2022-06-07 16:04:49 normalization > -- coach_match_missplays_in_rounds from `segment-351212`.ggpredict_airbyte._airbyte_raw_coach_match_missplays_in_rounds
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > and _airbyte_active_row = 1
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >   );
2022-06-07 16:04:49 normalization >   
2022-06-07 16:04:49 normalization > 16:04:36.008421 [debug] [Thread-6  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:36.009446 [info ] [Thread-6  ]: 48 of 78 OK created incremental model ggpredict_airbyte.user_training_v2_level_segment_unit_stats_scd................... [CREATE TABLE (0.0 rows, 0 processed) in 2.91s]
2022-06-07 16:04:49 normalization > 16:04:36.010149 [debug] [Thread-6  ]: Finished running node model.airbyte_utils.user_training_v2_level_segment_unit_stats_scd
2022-06-07 16:04:49 normalization > 16:04:36.010542 [debug] [Thread-6  ]: Began running node model.airbyte_utils.coach_match_sub_stats_v2
2022-06-07 16:04:49 normalization > 16:04:36.011595 [info ] [Thread-6  ]: 56 of 78 START incremental model ggpredict_airbyte.coach_match_sub_stats_v2............................................. [RUN]
2022-06-07 16:04:49 normalization > 16:04:36.012560 [debug] [Thread-6  ]: Acquiring new bigquery connection "model.airbyte_utils.coach_match_sub_stats_v2"
2022-06-07 16:04:49 normalization > 16:04:36.012906 [debug] [Thread-6  ]: Began compiling node model.airbyte_utils.coach_match_sub_stats_v2
2022-06-07 16:04:49 normalization > 16:04:36.013192 [debug] [Thread-6  ]: Compiling model.airbyte_utils.coach_match_sub_stats_v2
2022-06-07 16:04:49 normalization > 16:04:36.024094 [debug] [Thread-6  ]: Writing injected SQL for node "model.airbyte_utils.coach_match_sub_stats_v2"
2022-06-07 16:04:49 normalization > 16:04:36.026836 [debug] [Thread-6  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:36.027145 [debug] [Thread-6  ]: Began executing node model.airbyte_utils.coach_match_sub_stats_v2
2022-06-07 16:04:49 normalization > 16:04:36.030722 [debug] [Thread-6  ]: Opening a new connection, currently in state closed
2022-06-07 16:04:49 normalization > 16:04:36.057072 [debug] [Thread-7  ]: BigQuery adapter: get_columns_in_relation error: 404 GET https://bigquery.googleapis.com/bigquery/v2/projects/segment-351212/datasets/ggpredict_airbyte/tables/users_scd?prettyPrint=false: Not found: Table segment-351212:ggpredict_airbyte.users_scd
2022-06-07 16:04:49 normalization > 16:04:36.060142 [info ] [Thread-7  ]: 16:04:36 + `segment-351212`.ggpredict_airbyte.`users_scd`._airbyte_ab_id does not exist yet. The table will be created or rebuilt with dbt.full_refresh
2022-06-07 16:04:49 normalization > 16:04:36.069334 [debug] [Thread-7  ]: Writing runtime SQL for node "model.airbyte_utils.users_scd"
2022-06-07 16:04:49 normalization > 16:04:36.070494 [debug] [Thread-7  ]: On model.airbyte_utils.users_scd: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.users_scd"} */
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >   create or replace table `segment-351212`.ggpredict_airbyte.`users_scd`
2022-06-07 16:04:49 normalization >   partition by range_bucket(
2022-06-07 16:04:49 normalization >             _airbyte_active_row,
2022-06-07 16:04:49 normalization >             generate_array(0, 1, 1)
2022-06-07 16:04:49 normalization >         )
2022-06-07 16:04:49 normalization >   cluster by _airbyte_unique_key_scd, _airbyte_emitted_at
2022-06-07 16:04:49 normalization >   OPTIONS()
2022-06-07 16:04:49 normalization >   as (
2022-06-07 16:04:49 normalization >     
2022-06-07 16:04:49 normalization > -- depends_on: ref('users_stg')
2022-06-07 16:04:49 normalization > with
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > input_data as (
2022-06-07 16:04:49 normalization >     select *
2022-06-07 16:04:49 normalization >     from `segment-351212`._airbyte_ggpredict_airbyte.`users_stg`
2022-06-07 16:04:49 normalization >     -- users from `segment-351212`.ggpredict_airbyte._airbyte_raw_users
2022-06-07 16:04:49 normalization > ),
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > scd_data as (
2022-06-07 16:04:49 normalization >     -- SQL model to build a Type 2 Slowly Changing Dimension (SCD) table for each record identified by their primary key
2022-06-07 16:04:49 normalization >     select
2022-06-07 16:04:49 normalization >       to_hex(md5(cast(concat(coalesce(cast(id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), '')) as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ))) as _airbyte_unique_key,
2022-06-07 16:04:49 normalization >       id,
2022-06-07 16:04:49 normalization >       cid,
2022-06-07 16:04:49 normalization >       login,
2022-06-07 16:04:49 normalization >       deleted,
2022-06-07 16:04:49 normalization >       platform,
2022-06-07 16:04:49 normalization >       steam_id,
2022-06-07 16:04:49 normalization >       social_id,
2022-06-07 16:04:49 normalization >       xsolla_id,
2022-06-07 16:04:49 normalization >       steam_rank,
2022-06-07 16:04:49 normalization >       esportal_id,
2022-06-07 16:04:49 normalization >       faceit_rank,
2022-06-07 16:04:49 normalization >       deleted_date,
2022-06-07 16:04:49 normalization >       faceit_login,
2022-06-07 16:04:49 normalization >       mailchimp_id,
2022-06-07 16:04:49 normalization >       esportal_rank,
2022-06-07 16:04:49 normalization >       private_steam,
2022-06-07 16:04:49 normalization >       registered_at,
2022-06-07 16:04:49 normalization >       private_faceit,
2022-06-07 16:04:49 normalization >       private_upload,
2022-06-07 16:04:49 normalization >       _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >       faceit_steam_id,
2022-06-07 16:04:49 normalization >       is_trial_active,
2022-06-07 16:04:49 normalization >       private_account,
2022-06-07 16:04:49 normalization >       _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >       faceit_player_id,
2022-06-07 16:04:49 normalization >       private_esportal,
2022-06-07 16:04:49 normalization >       esportal_steam_id,
2022-06-07 16:04:49 normalization >       esportal_username,
2022-06-07 16:04:49 normalization >       _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >       _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >       affiliation_program,
2022-06-07 16:04:49 normalization >       pro_status_valid_date,
2022-06-07 16:04:49 normalization >       last_session_timestamp,
2022-06-07 16:04:49 normalization >       faceit_last_known_match,
2022-06-07 16:04:49 normalization >       esportal_last_known_match,
2022-06-07 16:04:49 normalization >       steam_authentication_code,
2022-06-07 16:04:49 normalization >       steam_last_known_match_share_token,
2022-06-07 16:04:49 normalization >       _ab_cdc_updated_at as _airbyte_start_at,
2022-06-07 16:04:49 normalization >       lag(_ab_cdc_updated_at) over (
2022-06-07 16:04:49 normalization >         partition by cast(id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > )
2022-06-07 16:04:49 normalization >         order by
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at is null asc,
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at desc,
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at desc,
2022-06-07 16:04:49 normalization >             _ab_cdc_log_pos desc,
2022-06-07 16:04:49 normalization >             _airbyte_emitted_at desc
2022-06-07 16:04:49 normalization >       ) as _airbyte_end_at,
2022-06-07 16:04:49 normalization >       case when row_number() over (
2022-06-07 16:04:49 normalization >         partition by cast(id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > )
2022-06-07 16:04:49 normalization >         order by
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at is null asc,
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at desc,
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at desc,
2022-06-07 16:04:49 normalization >             _ab_cdc_log_pos desc,
2022-06-07 16:04:49 normalization >             _airbyte_emitted_at desc
2022-06-07 16:04:49 normalization >       ) = 1 and _ab_cdc_deleted_at is null then 1 else 0 end as _airbyte_active_row,
2022-06-07 16:04:49 normalization >       _airbyte_ab_id,
2022-06-07 16:04:49 normalization >       _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >       _airbyte_users_hashid
2022-06-07 16:04:49 normalization >     from input_data
2022-06-07 16:04:49 normalization > ),
2022-06-07 16:04:49 normalization > dedup_data as (
2022-06-07 16:04:49 normalization >     select
2022-06-07 16:04:49 normalization >         -- we need to ensure de-duplicated rows for merge/update queries
2022-06-07 16:04:49 normalization >         -- additionally, we generate a unique key for the scd table
2022-06-07 16:04:49 normalization >         row_number() over (
2022-06-07 16:04:49 normalization >             partition by
2022-06-07 16:04:49 normalization >                 _airbyte_unique_key,
2022-06-07 16:04:49 normalization >                 _airbyte_start_at,
2022-06-07 16:04:49 normalization >                 _airbyte_emitted_at, cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > )
2022-06-07 16:04:49 normalization >             order by _airbyte_active_row desc, _airbyte_ab_id
2022-06-07 16:04:49 normalization >         ) as _airbyte_row_num,
2022-06-07 16:04:49 normalization >         to_hex(md5(cast(concat(coalesce(cast(_airbyte_unique_key as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_airbyte_start_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_airbyte_emitted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), '')) as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ))) as _airbyte_unique_key_scd,
2022-06-07 16:04:49 normalization >         scd_data.*
2022-06-07 16:04:49 normalization >     from scd_data
2022-06-07 16:04:49 normalization > )
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     _airbyte_unique_key,
2022-06-07 16:04:49 normalization >     _airbyte_unique_key_scd,
2022-06-07 16:04:49 normalization >     id,
2022-06-07 16:04:49 normalization >     cid,
2022-06-07 16:04:49 normalization >     login,
2022-06-07 16:04:49 normalization >     deleted,
2022-06-07 16:04:49 normalization >     platform,
2022-06-07 16:04:49 normalization >     steam_id,
2022-06-07 16:04:49 normalization >     social_id,
2022-06-07 16:04:49 normalization >     xsolla_id,
2022-06-07 16:04:49 normalization >     steam_rank,
2022-06-07 16:04:49 normalization >     esportal_id,
2022-06-07 16:04:49 normalization >     faceit_rank,
2022-06-07 16:04:49 normalization >     deleted_date,
2022-06-07 16:04:49 normalization >     faceit_login,
2022-06-07 16:04:49 normalization >     mailchimp_id,
2022-06-07 16:04:49 normalization >     esportal_rank,
2022-06-07 16:04:49 normalization >     private_steam,
2022-06-07 16:04:49 normalization >     registered_at,
2022-06-07 16:04:49 normalization >     private_faceit,
2022-06-07 16:04:49 normalization >     private_upload,
2022-06-07 16:04:49 normalization >     _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >     faceit_steam_id,
2022-06-07 16:04:49 normalization >     is_trial_active,
2022-06-07 16:04:49 normalization >     private_account,
2022-06-07 16:04:49 normalization >     _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >     faceit_player_id,
2022-06-07 16:04:49 normalization >     private_esportal,
2022-06-07 16:04:49 normalization >     esportal_steam_id,
2022-06-07 16:04:49 normalization >     esportal_username,
2022-06-07 16:04:49 normalization >     _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >     _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >     affiliation_program,
2022-06-07 16:04:49 normalization >     pro_status_valid_date,
2022-06-07 16:04:49 normalization >     last_session_timestamp,
2022-06-07 16:04:49 normalization >     faceit_last_known_match,
2022-06-07 16:04:49 normalization >     esportal_last_known_match,
2022-06-07 16:04:49 normalization >     steam_authentication_code,
2022-06-07 16:04:49 normalization >     steam_last_known_match_share_token,
2022-06-07 16:04:49 normalization >     _airbyte_start_at,
2022-06-07 16:04:49 normalization >     _airbyte_end_at,
2022-06-07 16:04:49 normalization >     _airbyte_active_row,
2022-06-07 16:04:49 normalization >     _airbyte_ab_id,
2022-06-07 16:04:49 normalization >     _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at,
2022-06-07 16:04:49 normalization >     _airbyte_users_hashid
2022-06-07 16:04:49 normalization > from dedup_data where _airbyte_row_num = 1
2022-06-07 16:04:49 normalization >   );
2022-06-07 16:04:49 normalization >   
2022-06-07 16:04:49 normalization > 16:04:36.123967 [debug] [Thread-1  ]: BigQuery adapter: get_columns_in_relation error: 404 GET https://bigquery.googleapis.com/bigquery/v2/projects/segment-351212/datasets/ggpredict_airbyte/tables/user_training_v2_unit_tags_scd?prettyPrint=false: Not found: Table segment-351212:ggpredict_airbyte.user_training_v2_unit_tags_scd
2022-06-07 16:04:49 normalization > 16:04:36.126717 [info ] [Thread-1  ]: 16:04:36 + `segment-351212`.ggpredict_airbyte.`user_training_v2_unit_tags_scd`._airbyte_ab_id does not exist yet. The table will be created or rebuilt with dbt.full_refresh
2022-06-07 16:04:49 normalization > 16:04:36.135403 [debug] [Thread-1  ]: Writing runtime SQL for node "model.airbyte_utils.user_training_v2_unit_tags_scd"
2022-06-07 16:04:49 normalization > 16:04:36.135848 [debug] [Thread-1  ]: On model.airbyte_utils.user_training_v2_unit_tags_scd: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.user_training_v2_unit_tags_scd"} */
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >   create or replace table `segment-351212`.ggpredict_airbyte.`user_training_v2_unit_tags_scd`
2022-06-07 16:04:49 normalization >   partition by range_bucket(
2022-06-07 16:04:49 normalization >             _airbyte_active_row,
2022-06-07 16:04:49 normalization >             generate_array(0, 1, 1)
2022-06-07 16:04:49 normalization >         )
2022-06-07 16:04:49 normalization >   cluster by _airbyte_unique_key_scd, _airbyte_emitted_at
2022-06-07 16:04:49 normalization >   OPTIONS()
2022-06-07 16:04:49 normalization >   as (
2022-06-07 16:04:49 normalization >     
2022-06-07 16:04:49 normalization > -- depends_on: ref('user_training_v2_unit_tags_stg')
2022-06-07 16:04:49 normalization > with
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > input_data as (
2022-06-07 16:04:49 normalization >     select *
2022-06-07 16:04:49 normalization >     from `segment-351212`._airbyte_ggpredict_airbyte.`user_training_v2_unit_tags_stg`
2022-06-07 16:04:49 normalization >     -- user_training_v2_unit_tags from `segment-351212`.ggpredict_airbyte._airbyte_raw_user_training_v2_unit_tags
2022-06-07 16:04:49 normalization > ),
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > scd_data as (
2022-06-07 16:04:49 normalization >     -- SQL model to build a Type 2 Slowly Changing Dimension (SCD) table for each record identified by their primary key
2022-06-07 16:04:49 normalization >     select
2022-06-07 16:04:49 normalization >       to_hex(md5(cast(concat(coalesce(cast(id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), '')) as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ))) as _airbyte_unique_key,
2022-06-07 16:04:49 normalization >       id,
2022-06-07 16:04:49 normalization >       tag,
2022-06-07 16:04:49 normalization >       unit_name,
2022-06-07 16:04:49 normalization >       _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >       _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >       _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >       _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >       _ab_cdc_updated_at as _airbyte_start_at,
2022-06-07 16:04:49 normalization >       lag(_ab_cdc_updated_at) over (
2022-06-07 16:04:49 normalization >         partition by cast(id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > )
2022-06-07 16:04:49 normalization >         order by
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at is null asc,
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at desc,
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at desc,
2022-06-07 16:04:49 normalization >             _ab_cdc_log_pos desc,
2022-06-07 16:04:49 normalization >             _airbyte_emitted_at desc
2022-06-07 16:04:49 normalization >       ) as _airbyte_end_at,
2022-06-07 16:04:49 normalization >       case when row_number() over (
2022-06-07 16:04:49 normalization >         partition by cast(id as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > )
2022-06-07 16:04:49 normalization >         order by
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at is null asc,
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at desc,
2022-06-07 16:04:49 normalization >             _ab_cdc_updated_at desc,
2022-06-07 16:04:49 normalization >             _ab_cdc_log_pos desc,
2022-06-07 16:04:49 normalization >             _airbyte_emitted_at desc
2022-06-07 16:04:49 normalization >       ) = 1 and _ab_cdc_deleted_at is null then 1 else 0 end as _airbyte_active_row,
2022-06-07 16:04:49 normalization >       _airbyte_ab_id,
2022-06-07 16:04:49 normalization >       _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >       _airbyte_user_training_v2_unit_tags_hashid
2022-06-07 16:04:49 normalization >     from input_data
2022-06-07 16:04:49 normalization > ),
2022-06-07 16:04:49 normalization > dedup_data as (
2022-06-07 16:04:49 normalization >     select
2022-06-07 16:04:49 normalization >         -- we need to ensure de-duplicated rows for merge/update queries
2022-06-07 16:04:49 normalization >         -- additionally, we generate a unique key for the scd table
2022-06-07 16:04:49 normalization >         row_number() over (
2022-06-07 16:04:49 normalization >             partition by
2022-06-07 16:04:49 normalization >                 _airbyte_unique_key,
2022-06-07 16:04:49 normalization >                 _airbyte_start_at,
2022-06-07 16:04:49 normalization >                 _airbyte_emitted_at, cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > )
2022-06-07 16:04:49 normalization >             order by _airbyte_active_row desc, _airbyte_ab_id
2022-06-07 16:04:49 normalization >         ) as _airbyte_row_num,
2022-06-07 16:04:49 normalization >         to_hex(md5(cast(concat(coalesce(cast(_airbyte_unique_key as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_airbyte_start_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_airbyte_emitted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_deleted_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_updated_at as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), ''), '-', coalesce(cast(_ab_cdc_log_pos as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ), '')) as 
2022-06-07 16:04:49 normalization >     string
2022-06-07 16:04:49 normalization > ))) as _airbyte_unique_key_scd,
2022-06-07 16:04:49 normalization >         scd_data.*
2022-06-07 16:04:49 normalization >     from scd_data
2022-06-07 16:04:49 normalization > )
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     _airbyte_unique_key,
2022-06-07 16:04:49 normalization >     _airbyte_unique_key_scd,
2022-06-07 16:04:49 normalization >     id,
2022-06-07 16:04:49 normalization >     tag,
2022-06-07 16:04:49 normalization >     unit_name,
2022-06-07 16:04:49 normalization >     _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >     _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >     _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >     _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >     _airbyte_start_at,
2022-06-07 16:04:49 normalization >     _airbyte_end_at,
2022-06-07 16:04:49 normalization >     _airbyte_active_row,
2022-06-07 16:04:49 normalization >     _airbyte_ab_id,
2022-06-07 16:04:49 normalization >     _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at,
2022-06-07 16:04:49 normalization >     _airbyte_user_training_v2_unit_tags_hashid
2022-06-07 16:04:49 normalization > from dedup_data where _airbyte_row_num = 1
2022-06-07 16:04:49 normalization >   );
2022-06-07 16:04:49 normalization >   
2022-06-07 16:04:49 normalization > 16:04:36.307107 [debug] [Thread-6  ]: BigQuery adapter: get_columns_in_relation error: 404 GET https://bigquery.googleapis.com/bigquery/v2/projects/segment-351212/datasets/ggpredict_airbyte/tables/coach_match_sub_stats_v2?prettyPrint=false: Not found: Table segment-351212:ggpredict_airbyte.coach_match_sub_stats_v2
2022-06-07 16:04:49 normalization > 16:04:36.309684 [info ] [Thread-6  ]: 16:04:36 + `segment-351212`.ggpredict_airbyte.`coach_match_sub_stats_v2`._airbyte_ab_id does not exist yet. The table will be created or rebuilt with dbt.full_refresh
2022-06-07 16:04:49 normalization > 16:04:36.317849 [debug] [Thread-6  ]: Writing runtime SQL for node "model.airbyte_utils.coach_match_sub_stats_v2"
2022-06-07 16:04:49 normalization > 16:04:36.318630 [debug] [Thread-6  ]: On model.airbyte_utils.coach_match_sub_stats_v2: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.coach_match_sub_stats_v2"} */
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >   create or replace table `segment-351212`.ggpredict_airbyte.`coach_match_sub_stats_v2`
2022-06-07 16:04:49 normalization >   partition by timestamp_trunc(_airbyte_emitted_at, day)
2022-06-07 16:04:49 normalization >   cluster by _airbyte_unique_key, _airbyte_emitted_at
2022-06-07 16:04:49 normalization >   OPTIONS()
2022-06-07 16:04:49 normalization >   as (
2022-06-07 16:04:49 normalization >     
2022-06-07 16:04:49 normalization > -- Final base SQL model
2022-06-07 16:04:49 normalization > -- depends_on: `segment-351212`.ggpredict_airbyte.`coach_match_sub_stats_v2_scd`
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     _airbyte_unique_key,
2022-06-07 16:04:49 normalization >     score,
2022-06-07 16:04:49 normalization >     sub_stat,
2022-06-07 16:04:49 normalization >     coach_match_id,
2022-06-07 16:04:49 normalization >     _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >     coach_player_id,
2022-06-07 16:04:49 normalization >     _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >     _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >     _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >     _airbyte_ab_id,
2022-06-07 16:04:49 normalization >     _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at,
2022-06-07 16:04:49 normalization >     _airbyte_coach_match_sub_stats_v2_hashid
2022-06-07 16:04:49 normalization > from `segment-351212`.ggpredict_airbyte.`coach_match_sub_stats_v2_scd`
2022-06-07 16:04:49 normalization > -- coach_match_sub_stats_v2 from `segment-351212`.ggpredict_airbyte._airbyte_raw_coach_match_sub_stats_v2
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > and _airbyte_active_row = 1
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >   );
2022-06-07 16:04:49 normalization >   
2022-06-07 16:04:49 normalization > 16:04:37.665669 [debug] [Thread-4  ]: On model.airbyte_utils.user_training_v2_level_segment_units_scd: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.user_training_v2_level_segment_units_scd"} */
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >         drop view _airbyte_ggpredict_airbyte.user_training_v2_level_segment_units_stg
2022-06-07 16:04:49 normalization >       
2022-06-07 16:04:49 normalization > 16:04:37.874946 [debug] [Thread-3  ]: On model.airbyte_utils.user_training_v2_level_segments_scd: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.user_training_v2_level_segments_scd"} */
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >         drop view _airbyte_ggpredict_airbyte.user_training_v2_level_segments_stg
2022-06-07 16:04:49 normalization >       
2022-06-07 16:04:49 normalization > 16:04:37.954402 [debug] [Thread-2  ]: On model.airbyte_utils.user_training_v2_levels_scd: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.user_training_v2_levels_scd"} */
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >         drop view _airbyte_ggpredict_airbyte.user_training_v2_levels_stg
2022-06-07 16:04:49 normalization >       
2022-06-07 16:04:49 normalization > 16:04:38.058777 [debug] [Thread-5  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:38.060128 [info ] [Thread-5  ]: 55 of 78 OK created incremental model ggpredict_airbyte.coach_match_missplays_in_rounds................................. [CREATE TABLE (0.0 rows, 0 processed) in 2.33s]
2022-06-07 16:04:49 normalization > 16:04:38.063617 [debug] [Thread-5  ]: Finished running node model.airbyte_utils.coach_match_missplays_in_rounds
2022-06-07 16:04:49 normalization > 16:04:38.066004 [debug] [Thread-8  ]: On model.airbyte_utils.user_training_v2_streaks_scd: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.user_training_v2_streaks_scd"} */
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >         drop view _airbyte_ggpredict_airbyte.user_training_v2_streaks_stg
2022-06-07 16:04:49 normalization >       
2022-06-07 16:04:49 normalization > 16:04:38.066585 [debug] [Thread-5  ]: Began running node model.airbyte_utils.challenge_weapons
2022-06-07 16:04:49 normalization > 16:04:38.071128 [info ] [Thread-5  ]: 57 of 78 START incremental model ggpredict_airbyte.challenge_weapons.................................................... [RUN]
2022-06-07 16:04:49 normalization > 16:04:38.071936 [debug] [Thread-5  ]: Acquiring new bigquery connection "model.airbyte_utils.challenge_weapons"
2022-06-07 16:04:49 normalization > 16:04:38.072179 [debug] [Thread-5  ]: Began compiling node model.airbyte_utils.challenge_weapons
2022-06-07 16:04:49 normalization > 16:04:38.072397 [debug] [Thread-5  ]: Compiling model.airbyte_utils.challenge_weapons
2022-06-07 16:04:49 normalization > 16:04:38.082504 [debug] [Thread-5  ]: Writing injected SQL for node "model.airbyte_utils.challenge_weapons"
2022-06-07 16:04:49 normalization > 16:04:38.085648 [debug] [Thread-5  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:38.088669 [debug] [Thread-5  ]: Began executing node model.airbyte_utils.challenge_weapons
2022-06-07 16:04:49 normalization > 16:04:38.093603 [debug] [Thread-5  ]: Opening a new connection, currently in state closed
2022-06-07 16:04:49 normalization > 16:04:38.104234 [debug] [Thread-7  ]: On model.airbyte_utils.users_scd: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.users_scd"} */
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >         drop view _airbyte_ggpredict_airbyte.users_stg
2022-06-07 16:04:49 normalization >       
2022-06-07 16:04:49 normalization > 16:04:38.205570 [debug] [Thread-4  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:38.206833 [info ] [Thread-4  ]: 49 of 78 OK created incremental model ggpredict_airbyte.user_training_v2_level_segment_units_scd........................ [CREATE TABLE (0.0 rows, 0 processed) in 2.99s]
2022-06-07 16:04:49 normalization > 16:04:38.207726 [debug] [Thread-4  ]: Finished running node model.airbyte_utils.user_training_v2_level_segment_units_scd
2022-06-07 16:04:49 normalization > 16:04:38.208353 [debug] [Thread-4  ]: Began running node model.airbyte_utils.coach_match_advanced_stats
2022-06-07 16:04:49 normalization > 16:04:38.209516 [info ] [Thread-4  ]: 58 of 78 START incremental model ggpredict_airbyte.coach_match_advanced_stats........................................... [RUN]
2022-06-07 16:04:49 normalization > 16:04:38.210804 [debug] [Thread-4  ]: Acquiring new bigquery connection "model.airbyte_utils.coach_match_advanced_stats"
2022-06-07 16:04:49 normalization > 16:04:38.211203 [debug] [Thread-4  ]: Began compiling node model.airbyte_utils.coach_match_advanced_stats
2022-06-07 16:04:49 normalization > 16:04:38.211577 [debug] [Thread-4  ]: Compiling model.airbyte_utils.coach_match_advanced_stats
2022-06-07 16:04:49 normalization > 16:04:38.222733 [debug] [Thread-4  ]: Writing injected SQL for node "model.airbyte_utils.coach_match_advanced_stats"
2022-06-07 16:04:49 normalization > 16:04:38.227920 [debug] [Thread-4  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:38.228601 [debug] [Thread-1  ]: On model.airbyte_utils.user_training_v2_unit_tags_scd: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.user_training_v2_unit_tags_scd"} */
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >         drop view _airbyte_ggpredict_airbyte.user_training_v2_unit_tags_stg
2022-06-07 16:04:49 normalization >       
2022-06-07 16:04:49 normalization > 16:04:38.229019 [debug] [Thread-4  ]: Began executing node model.airbyte_utils.coach_match_advanced_stats
2022-06-07 16:04:49 normalization > 16:04:38.235926 [debug] [Thread-4  ]: Opening a new connection, currently in state closed
2022-06-07 16:04:49 normalization > 16:04:38.360757 [debug] [Thread-5  ]: BigQuery adapter: get_columns_in_relation error: 404 GET https://bigquery.googleapis.com/bigquery/v2/projects/segment-351212/datasets/ggpredict_airbyte/tables/challenge_weapons?prettyPrint=false: Not found: Table segment-351212:ggpredict_airbyte.challenge_weapons
2022-06-07 16:04:49 normalization > 16:04:38.363522 [info ] [Thread-5  ]: 16:04:38 + `segment-351212`.ggpredict_airbyte.`challenge_weapons`._airbyte_ab_id does not exist yet. The table will be created or rebuilt with dbt.full_refresh
2022-06-07 16:04:49 normalization > 16:04:38.373149 [debug] [Thread-5  ]: Writing runtime SQL for node "model.airbyte_utils.challenge_weapons"
2022-06-07 16:04:49 normalization > 16:04:38.377318 [debug] [Thread-5  ]: On model.airbyte_utils.challenge_weapons: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.challenge_weapons"} */
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >   create or replace table `segment-351212`.ggpredict_airbyte.`challenge_weapons`
2022-06-07 16:04:49 normalization >   partition by timestamp_trunc(_airbyte_emitted_at, day)
2022-06-07 16:04:49 normalization >   cluster by _airbyte_unique_key, _airbyte_emitted_at
2022-06-07 16:04:49 normalization >   OPTIONS()
2022-06-07 16:04:49 normalization >   as (
2022-06-07 16:04:49 normalization >     
2022-06-07 16:04:49 normalization > -- Final base SQL model
2022-06-07 16:04:49 normalization > -- depends_on: `segment-351212`.ggpredict_airbyte.`challenge_weapons_scd`
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     _airbyte_unique_key,
2022-06-07 16:04:49 normalization >     weapon_id,
2022-06-07 16:04:49 normalization >     challenge_id,
2022-06-07 16:04:49 normalization >     _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >     _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >     _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >     _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >     _airbyte_ab_id,
2022-06-07 16:04:49 normalization >     _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at,
2022-06-07 16:04:49 normalization >     _airbyte_challenge_weapons_hashid
2022-06-07 16:04:49 normalization > from `segment-351212`.ggpredict_airbyte.`challenge_weapons_scd`
2022-06-07 16:04:49 normalization > -- challenge_weapons from `segment-351212`.ggpredict_airbyte._airbyte_raw_challenge_weapons
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > and _airbyte_active_row = 1
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >   );
2022-06-07 16:04:49 normalization >   
2022-06-07 16:04:49 normalization > 16:04:38.400627 [debug] [Thread-4  ]: BigQuery adapter: get_columns_in_relation error: 404 GET https://bigquery.googleapis.com/bigquery/v2/projects/segment-351212/datasets/ggpredict_airbyte/tables/coach_match_advanced_stats?prettyPrint=false: Not found: Table segment-351212:ggpredict_airbyte.coach_match_advanced_stats
2022-06-07 16:04:49 normalization > 16:04:38.404183 [info ] [Thread-4  ]: 16:04:38 + `segment-351212`.ggpredict_airbyte.`coach_match_advanced_stats`._airbyte_ab_id does not exist yet. The table will be created or rebuilt with dbt.full_refresh
2022-06-07 16:04:49 normalization > 16:04:38.412982 [debug] [Thread-4  ]: Writing runtime SQL for node "model.airbyte_utils.coach_match_advanced_stats"
2022-06-07 16:04:49 normalization > 16:04:38.416241 [debug] [Thread-4  ]: On model.airbyte_utils.coach_match_advanced_stats: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.coach_match_advanced_stats"} */
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >   create or replace table `segment-351212`.ggpredict_airbyte.`coach_match_advanced_stats`
2022-06-07 16:04:49 normalization >   partition by timestamp_trunc(_airbyte_emitted_at, day)
2022-06-07 16:04:49 normalization >   cluster by _airbyte_unique_key, _airbyte_emitted_at
2022-06-07 16:04:49 normalization >   OPTIONS()
2022-06-07 16:04:49 normalization >   as (
2022-06-07 16:04:49 normalization >     
2022-06-07 16:04:49 normalization > -- Final base SQL model
2022-06-07 16:04:49 normalization > -- depends_on: `segment-351212`.ggpredict_airbyte.`coach_match_advanced_stats_scd`
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     _airbyte_unique_key,
2022-06-07 16:04:49 normalization >     aiming,
2022-06-07 16:04:49 normalization >     clutch,
2022-06-07 16:04:49 normalization >     sniping,
2022-06-07 16:04:49 normalization >     gamepace,
2022-06-07 16:04:49 normalization >     teamplay,
2022-06-07 16:04:49 normalization >     aggression,
2022-06-07 16:04:49 normalization >     positioning,
2022-06-07 16:04:49 normalization >     coach_match_id,
2022-06-07 16:04:49 normalization >     responsiveness,
2022-06-07 16:04:49 normalization >     utilitiesusage,
2022-06-07 16:04:49 normalization >     _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >     coach_player_id,
2022-06-07 16:04:49 normalization >     _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >     _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >     _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >     _airbyte_ab_id,
2022-06-07 16:04:49 normalization >     _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at,
2022-06-07 16:04:49 normalization >     _airbyte_coach_match_advanced_stats_hashid
2022-06-07 16:04:49 normalization > from `segment-351212`.ggpredict_airbyte.`coach_match_advanced_stats_scd`
2022-06-07 16:04:49 normalization > -- coach_match_advanced_stats from `segment-351212`.ggpredict_airbyte._airbyte_raw_coach_match_advanced_stats
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > and _airbyte_active_row = 1
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >   );
2022-06-07 16:04:49 normalization >   
2022-06-07 16:04:49 normalization > 16:04:38.426326 [debug] [Thread-6  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:38.427884 [info ] [Thread-6  ]: 56 of 78 OK created incremental model ggpredict_airbyte.coach_match_sub_stats_v2........................................ [CREATE TABLE (0.0 rows, 0 processed) in 2.42s]
2022-06-07 16:04:49 normalization > 16:04:38.428869 [debug] [Thread-6  ]: Finished running node model.airbyte_utils.coach_match_sub_stats_v2
2022-06-07 16:04:49 normalization > 16:04:38.429397 [debug] [Thread-6  ]: Began running node model.airbyte_utils.challenge_maps
2022-06-07 16:04:49 normalization > 16:04:38.430207 [info ] [Thread-6  ]: 59 of 78 START incremental model ggpredict_airbyte.challenge_maps....................................................... [RUN]
2022-06-07 16:04:49 normalization > 16:04:38.431441 [debug] [Thread-6  ]: Acquiring new bigquery connection "model.airbyte_utils.challenge_maps"
2022-06-07 16:04:49 normalization > 16:04:38.431857 [debug] [Thread-6  ]: Began compiling node model.airbyte_utils.challenge_maps
2022-06-07 16:04:49 normalization > 16:04:38.432255 [debug] [Thread-6  ]: Compiling model.airbyte_utils.challenge_maps
2022-06-07 16:04:49 normalization > 16:04:38.444318 [debug] [Thread-6  ]: Writing injected SQL for node "model.airbyte_utils.challenge_maps"
2022-06-07 16:04:49 normalization > 16:04:38.444659 [debug] [Thread-6  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:38.444867 [debug] [Thread-6  ]: Began executing node model.airbyte_utils.challenge_maps
2022-06-07 16:04:49 normalization > 16:04:38.448384 [debug] [Thread-6  ]: Opening a new connection, currently in state closed
2022-06-07 16:04:49 normalization > 16:04:38.459657 [debug] [Thread-3  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:38.462730 [info ] [Thread-3  ]: 50 of 78 OK created incremental model ggpredict_airbyte.user_training_v2_level_segments_scd............................. [CREATE TABLE (0.0 rows, 0 processed) in 3.01s]
2022-06-07 16:04:49 normalization > 16:04:38.464409 [debug] [Thread-3  ]: Finished running node model.airbyte_utils.user_training_v2_level_segments_scd
2022-06-07 16:04:49 normalization > 16:04:38.464740 [debug] [Thread-3  ]: Began running node model.airbyte_utils.user_server_stats
2022-06-07 16:04:49 normalization > 16:04:38.465598 [info ] [Thread-3  ]: 60 of 78 SKIP relation ggpredict_airbyte.user_server_stats.............................................................. [SKIP]
2022-06-07 16:04:49 normalization > 16:04:38.466277 [debug] [Thread-3  ]: Finished running node model.airbyte_utils.user_server_stats
2022-06-07 16:04:49 normalization > 16:04:38.466543 [debug] [Thread-3  ]: Began running node model.airbyte_utils.coach_match_lineups
2022-06-07 16:04:49 normalization > 16:04:38.466961 [info ] [Thread-3  ]: 61 of 78 SKIP relation ggpredict_airbyte.coach_match_lineups............................................................ [SKIP]
2022-06-07 16:04:49 normalization > 16:04:38.467891 [debug] [Thread-3  ]: Finished running node model.airbyte_utils.coach_match_lineups
2022-06-07 16:04:49 normalization > 16:04:38.468279 [debug] [Thread-3  ]: Began running node model.airbyte_utils.challenge_types
2022-06-07 16:04:49 normalization > 16:04:38.468954 [info ] [Thread-3  ]: 62 of 78 START incremental model ggpredict_airbyte.challenge_types...................................................... [RUN]
2022-06-07 16:04:49 normalization > 16:04:38.469885 [debug] [Thread-3  ]: Acquiring new bigquery connection "model.airbyte_utils.challenge_types"
2022-06-07 16:04:49 normalization > 16:04:38.470196 [debug] [Thread-3  ]: Began compiling node model.airbyte_utils.challenge_types
2022-06-07 16:04:49 normalization > 16:04:38.470502 [debug] [Thread-3  ]: Compiling model.airbyte_utils.challenge_types
2022-06-07 16:04:49 normalization > 16:04:38.482963 [debug] [Thread-3  ]: Writing injected SQL for node "model.airbyte_utils.challenge_types"
2022-06-07 16:04:49 normalization > 16:04:38.483540 [debug] [Thread-3  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:38.483728 [debug] [Thread-3  ]: Began executing node model.airbyte_utils.challenge_types
2022-06-07 16:04:49 normalization > 16:04:38.487132 [debug] [Thread-3  ]: Opening a new connection, currently in state closed
2022-06-07 16:04:49 normalization > 16:04:38.517513 [debug] [Thread-2  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:38.518863 [info ] [Thread-2  ]: 51 of 78 OK created incremental model ggpredict_airbyte.user_training_v2_levels_scd..................................... [CREATE TABLE (0.0 rows, 0 processed) in 3.07s]
2022-06-07 16:04:49 normalization > 16:04:38.519821 [debug] [Thread-2  ]: Finished running node model.airbyte_utils.user_training_v2_levels_scd
2022-06-07 16:04:49 normalization > 16:04:38.520333 [debug] [Thread-2  ]: Began running node model.airbyte_utils.coach_players
2022-06-07 16:04:49 normalization > 16:04:38.521325 [info ] [Thread-2  ]: 63 of 78 START incremental model ggpredict_airbyte.coach_players........................................................ [RUN]
2022-06-07 16:04:49 normalization > 16:04:38.521898 [debug] [Thread-2  ]: Acquiring new bigquery connection "model.airbyte_utils.coach_players"
2022-06-07 16:04:49 normalization > 16:04:38.522075 [debug] [Thread-2  ]: Began compiling node model.airbyte_utils.coach_players
2022-06-07 16:04:49 normalization > 16:04:38.522247 [debug] [Thread-2  ]: Compiling model.airbyte_utils.coach_players
2022-06-07 16:04:49 normalization > 16:04:38.531131 [debug] [Thread-2  ]: Writing injected SQL for node "model.airbyte_utils.coach_players"
2022-06-07 16:04:49 normalization > 16:04:38.532142 [debug] [Thread-2  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:38.532334 [debug] [Thread-2  ]: Began executing node model.airbyte_utils.coach_players
2022-06-07 16:04:49 normalization > 16:04:38.537652 [debug] [Thread-2  ]: Opening a new connection, currently in state closed
2022-06-07 16:04:49 normalization > 16:04:38.617793 [debug] [Thread-8  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:38.619540 [info ] [Thread-8  ]: 53 of 78 OK created incremental model ggpredict_airbyte.user_training_v2_streaks_scd.................................... [CREATE TABLE (0.0 rows, 0 processed) in 2.98s]
2022-06-07 16:04:49 normalization > 16:04:38.620307 [debug] [Thread-8  ]: Finished running node model.airbyte_utils.user_training_v2_streaks_scd
2022-06-07 16:04:49 normalization > 16:04:38.620648 [debug] [Thread-8  ]: Began running node model.airbyte_utils.coach_match_sub_stats
2022-06-07 16:04:49 normalization > 16:04:38.621467 [info ] [Thread-8  ]: 64 of 78 START incremental model ggpredict_airbyte.coach_match_sub_stats................................................ [RUN]
2022-06-07 16:04:49 normalization > 16:04:38.622965 [debug] [Thread-8  ]: Acquiring new bigquery connection "model.airbyte_utils.coach_match_sub_stats"
2022-06-07 16:04:49 normalization > 16:04:38.623323 [debug] [Thread-8  ]: Began compiling node model.airbyte_utils.coach_match_sub_stats
2022-06-07 16:04:49 normalization > 16:04:38.623594 [debug] [Thread-8  ]: Compiling model.airbyte_utils.coach_match_sub_stats
2022-06-07 16:04:49 normalization > 16:04:38.634504 [debug] [Thread-8  ]: Writing injected SQL for node "model.airbyte_utils.coach_match_sub_stats"
2022-06-07 16:04:49 normalization > 16:04:38.640503 [debug] [Thread-7  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:38.641046 [debug] [Thread-8  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:38.642065 [info ] [Thread-7  ]: 52 of 78 OK created incremental model ggpredict_airbyte.users_scd....................................................... [CREATE TABLE (0.0 rows, 0 processed) in 3.07s]
2022-06-07 16:04:49 normalization > 16:04:38.642581 [debug] [Thread-8  ]: Began executing node model.airbyte_utils.coach_match_sub_stats
2022-06-07 16:04:49 normalization > 16:04:38.643634 [debug] [Thread-7  ]: Finished running node model.airbyte_utils.users_scd
2022-06-07 16:04:49 normalization > 16:04:38.647790 [debug] [Thread-8  ]: Opening a new connection, currently in state closed
2022-06-07 16:04:49 normalization > 16:04:38.648160 [debug] [Thread-7  ]: Began running node model.airbyte_utils.missplays
2022-06-07 16:04:49 normalization > 16:04:38.649419 [info ] [Thread-7  ]: 65 of 78 START incremental model ggpredict_airbyte.missplays............................................................ [RUN]
2022-06-07 16:04:49 normalization > 16:04:38.650008 [debug] [Thread-7  ]: Acquiring new bigquery connection "model.airbyte_utils.missplays"
2022-06-07 16:04:49 normalization > 16:04:38.650195 [debug] [Thread-7  ]: Began compiling node model.airbyte_utils.missplays
2022-06-07 16:04:49 normalization > 16:04:38.650381 [debug] [Thread-7  ]: Compiling model.airbyte_utils.missplays
2022-06-07 16:04:49 normalization > 16:04:38.659194 [debug] [Thread-7  ]: Writing injected SQL for node "model.airbyte_utils.missplays"
2022-06-07 16:04:49 normalization > 16:04:38.661232 [debug] [Thread-7  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:38.661536 [debug] [Thread-7  ]: Began executing node model.airbyte_utils.missplays
2022-06-07 16:04:49 normalization > 16:04:38.665595 [debug] [Thread-7  ]: Opening a new connection, currently in state closed
2022-06-07 16:04:49 normalization > 16:04:38.684941 [debug] [Thread-3  ]: BigQuery adapter: get_columns_in_relation error: 404 GET https://bigquery.googleapis.com/bigquery/v2/projects/segment-351212/datasets/ggpredict_airbyte/tables/challenge_types?prettyPrint=false: Not found: Table segment-351212:ggpredict_airbyte.challenge_types
2022-06-07 16:04:49 normalization > 16:04:38.686040 [info ] [Thread-3  ]: 16:04:38 + `segment-351212`.ggpredict_airbyte.`challenge_types`._airbyte_ab_id does not exist yet. The table will be created or rebuilt with dbt.full_refresh
2022-06-07 16:04:49 normalization > 16:04:38.689959 [debug] [Thread-3  ]: Writing runtime SQL for node "model.airbyte_utils.challenge_types"
2022-06-07 16:04:49 normalization > 16:04:38.690309 [debug] [Thread-3  ]: On model.airbyte_utils.challenge_types: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.challenge_types"} */
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >   create or replace table `segment-351212`.ggpredict_airbyte.`challenge_types`
2022-06-07 16:04:49 normalization >   partition by timestamp_trunc(_airbyte_emitted_at, day)
2022-06-07 16:04:49 normalization >   cluster by _airbyte_unique_key, _airbyte_emitted_at
2022-06-07 16:04:49 normalization >   OPTIONS()
2022-06-07 16:04:49 normalization >   as (
2022-06-07 16:04:49 normalization >     
2022-06-07 16:04:49 normalization > -- Final base SQL model
2022-06-07 16:04:49 normalization > -- depends_on: `segment-351212`.ggpredict_airbyte.`challenge_types_scd`
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     _airbyte_unique_key,
2022-06-07 16:04:49 normalization >     id,
2022-06-07 16:04:49 normalization >     name,
2022-06-07 16:04:49 normalization >     _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >     _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >     _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >     _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >     _airbyte_ab_id,
2022-06-07 16:04:49 normalization >     _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at,
2022-06-07 16:04:49 normalization >     _airbyte_challenge_types_hashid
2022-06-07 16:04:49 normalization > from `segment-351212`.ggpredict_airbyte.`challenge_types_scd`
2022-06-07 16:04:49 normalization > -- challenge_types from `segment-351212`.ggpredict_airbyte._airbyte_raw_challenge_types
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > and _airbyte_active_row = 1
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >   );
2022-06-07 16:04:49 normalization >   
2022-06-07 16:04:49 normalization > 16:04:38.692769 [debug] [Thread-6  ]: BigQuery adapter: get_columns_in_relation error: 404 GET https://bigquery.googleapis.com/bigquery/v2/projects/segment-351212/datasets/ggpredict_airbyte/tables/challenge_maps?prettyPrint=false: Not found: Table segment-351212:ggpredict_airbyte.challenge_maps
2022-06-07 16:04:49 normalization > 16:04:38.694470 [info ] [Thread-6  ]: 16:04:38 + `segment-351212`.ggpredict_airbyte.`challenge_maps`._airbyte_ab_id does not exist yet. The table will be created or rebuilt with dbt.full_refresh
2022-06-07 16:04:49 normalization > 16:04:38.697942 [debug] [Thread-6  ]: Writing runtime SQL for node "model.airbyte_utils.challenge_maps"
2022-06-07 16:04:49 normalization > 16:04:38.698275 [debug] [Thread-6  ]: On model.airbyte_utils.challenge_maps: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.challenge_maps"} */
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >   create or replace table `segment-351212`.ggpredict_airbyte.`challenge_maps`
2022-06-07 16:04:49 normalization >   partition by timestamp_trunc(_airbyte_emitted_at, day)
2022-06-07 16:04:49 normalization >   cluster by _airbyte_unique_key, _airbyte_emitted_at
2022-06-07 16:04:49 normalization >   OPTIONS()
2022-06-07 16:04:49 normalization >   as (
2022-06-07 16:04:49 normalization >     
2022-06-07 16:04:49 normalization > -- Final base SQL model
2022-06-07 16:04:49 normalization > -- depends_on: `segment-351212`.ggpredict_airbyte.`challenge_maps_scd`
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     _airbyte_unique_key,
2022-06-07 16:04:49 normalization >     map_id,
2022-06-07 16:04:49 normalization >     challenge_id,
2022-06-07 16:04:49 normalization >     _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >     _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >     _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >     _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >     _airbyte_ab_id,
2022-06-07 16:04:49 normalization >     _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at,
2022-06-07 16:04:49 normalization >     _airbyte_challenge_maps_hashid
2022-06-07 16:04:49 normalization > from `segment-351212`.ggpredict_airbyte.`challenge_maps_scd`
2022-06-07 16:04:49 normalization > -- challenge_maps from `segment-351212`.ggpredict_airbyte._airbyte_raw_challenge_maps
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > and _airbyte_active_row = 1
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >   );
2022-06-07 16:04:49 normalization >   
2022-06-07 16:04:49 normalization > 16:04:38.796734 [debug] [Thread-1  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:38.797972 [debug] [Thread-2  ]: BigQuery adapter: get_columns_in_relation error: 404 GET https://bigquery.googleapis.com/bigquery/v2/projects/segment-351212/datasets/ggpredict_airbyte/tables/coach_players?prettyPrint=false: Not found: Table segment-351212:ggpredict_airbyte.coach_players
2022-06-07 16:04:49 normalization > 16:04:38.799331 [info ] [Thread-1  ]: 54 of 78 OK created incremental model ggpredict_airbyte.user_training_v2_unit_tags_scd.................................. [CREATE TABLE (0.0 rows, 0 processed) in 3.09s]
2022-06-07 16:04:49 normalization > 16:04:38.802071 [info ] [Thread-2  ]: 16:04:38 + `segment-351212`.ggpredict_airbyte.`coach_players`._airbyte_ab_id does not exist yet. The table will be created or rebuilt with dbt.full_refresh
2022-06-07 16:04:49 normalization > 16:04:38.803300 [debug] [Thread-1  ]: Finished running node model.airbyte_utils.user_training_v2_unit_tags_scd
2022-06-07 16:04:49 normalization > 16:04:38.809348 [debug] [Thread-2  ]: Writing runtime SQL for node "model.airbyte_utils.coach_players"
2022-06-07 16:04:49 normalization > 16:04:38.809820 [debug] [Thread-1  ]: Began running node model.airbyte_utils.user_server_live_stats
2022-06-07 16:04:49 normalization > 16:04:38.811298 [info ] [Thread-1  ]: 66 of 78 START incremental model ggpredict_airbyte.user_server_live_stats............................................... [RUN]
2022-06-07 16:04:49 normalization > 16:04:38.812137 [debug] [Thread-1  ]: Acquiring new bigquery connection "model.airbyte_utils.user_server_live_stats"
2022-06-07 16:04:49 normalization > 16:04:38.812410 [debug] [Thread-2  ]: On model.airbyte_utils.coach_players: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.coach_players"} */
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >   create or replace table `segment-351212`.ggpredict_airbyte.`coach_players`
2022-06-07 16:04:49 normalization >   partition by timestamp_trunc(_airbyte_emitted_at, day)
2022-06-07 16:04:49 normalization >   cluster by _airbyte_unique_key, _airbyte_emitted_at
2022-06-07 16:04:49 normalization >   OPTIONS()
2022-06-07 16:04:49 normalization >   as (
2022-06-07 16:04:49 normalization >     
2022-06-07 16:04:49 normalization > -- Final base SQL model
2022-06-07 16:04:49 normalization > -- depends_on: `segment-351212`.ggpredict_airbyte.`coach_players_scd`
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     _airbyte_unique_key,
2022-06-07 16:04:49 normalization >     id,
2022-06-07 16:04:49 normalization >     steam_id_64,
2022-06-07 16:04:49 normalization >     current_rank,
2022-06-07 16:04:49 normalization >     _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >     _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >     _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >     _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >     _airbyte_ab_id,
2022-06-07 16:04:49 normalization >     _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at,
2022-06-07 16:04:49 normalization >     _airbyte_coach_players_hashid
2022-06-07 16:04:49 normalization > from `segment-351212`.ggpredict_airbyte.`coach_players_scd`
2022-06-07 16:04:49 normalization > -- coach_players from `segment-351212`.ggpredict_airbyte._airbyte_raw_coach_players
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > and _airbyte_active_row = 1
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >   );
2022-06-07 16:04:49 normalization >   
2022-06-07 16:04:49 normalization > 16:04:38.812788 [debug] [Thread-1  ]: Began compiling node model.airbyte_utils.user_server_live_stats
2022-06-07 16:04:49 normalization > 16:04:38.815300 [debug] [Thread-1  ]: Compiling model.airbyte_utils.user_server_live_stats
2022-06-07 16:04:49 normalization > 16:04:38.830879 [debug] [Thread-1  ]: Writing injected SQL for node "model.airbyte_utils.user_server_live_stats"
2022-06-07 16:04:49 normalization > 16:04:38.837207 [debug] [Thread-1  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:38.841354 [debug] [Thread-1  ]: Began executing node model.airbyte_utils.user_server_live_stats
2022-06-07 16:04:49 normalization > 16:04:38.848027 [debug] [Thread-1  ]: Opening a new connection, currently in state closed
2022-06-07 16:04:49 normalization > 16:04:38.969707 [debug] [Thread-7  ]: BigQuery adapter: get_columns_in_relation error: 404 GET https://bigquery.googleapis.com/bigquery/v2/projects/segment-351212/datasets/ggpredict_airbyte/tables/missplays?prettyPrint=false: Not found: Table segment-351212:ggpredict_airbyte.missplays
2022-06-07 16:04:49 normalization > 16:04:38.972430 [info ] [Thread-7  ]: 16:04:38 + `segment-351212`.ggpredict_airbyte.`missplays`._airbyte_ab_id does not exist yet. The table will be created or rebuilt with dbt.full_refresh
2022-06-07 16:04:49 normalization > 16:04:38.981104 [debug] [Thread-7  ]: Writing runtime SQL for node "model.airbyte_utils.missplays"
2022-06-07 16:04:49 normalization > 16:04:38.981486 [debug] [Thread-7  ]: On model.airbyte_utils.missplays: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.missplays"} */
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >   create or replace table `segment-351212`.ggpredict_airbyte.`missplays`
2022-06-07 16:04:49 normalization >   partition by timestamp_trunc(_airbyte_emitted_at, day)
2022-06-07 16:04:49 normalization >   cluster by _airbyte_unique_key, _airbyte_emitted_at
2022-06-07 16:04:49 normalization >   OPTIONS()
2022-06-07 16:04:49 normalization >   as (
2022-06-07 16:04:49 normalization >     
2022-06-07 16:04:49 normalization > -- Final base SQL model
2022-06-07 16:04:49 normalization > -- depends_on: `segment-351212`.ggpredict_airbyte.`missplays_scd`
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     _airbyte_unique_key,
2022-06-07 16:04:49 normalization >     id,
2022-06-07 16:04:49 normalization >     value,
2022-06-07 16:04:49 normalization >     _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >     _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >     _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >     _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >     _airbyte_ab_id,
2022-06-07 16:04:49 normalization >     _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at,
2022-06-07 16:04:49 normalization >     _airbyte_missplays_hashid
2022-06-07 16:04:49 normalization > from `segment-351212`.ggpredict_airbyte.`missplays_scd`
2022-06-07 16:04:49 normalization > -- missplays from `segment-351212`.ggpredict_airbyte._airbyte_raw_missplays
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > and _airbyte_active_row = 1
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >   );
2022-06-07 16:04:49 normalization >   
2022-06-07 16:04:49 normalization > 16:04:39.040102 [debug] [Thread-8  ]: BigQuery adapter: get_columns_in_relation error: 404 GET https://bigquery.googleapis.com/bigquery/v2/projects/segment-351212/datasets/ggpredict_airbyte/tables/coach_match_sub_stats?prettyPrint=false: Not found: Table segment-351212:ggpredict_airbyte.coach_match_sub_stats
2022-06-07 16:04:49 normalization > 16:04:39.043747 [info ] [Thread-8  ]: 16:04:39 + `segment-351212`.ggpredict_airbyte.`coach_match_sub_stats`._airbyte_ab_id does not exist yet. The table will be created or rebuilt with dbt.full_refresh
2022-06-07 16:04:49 normalization > 16:04:39.050833 [debug] [Thread-8  ]: Writing runtime SQL for node "model.airbyte_utils.coach_match_sub_stats"
2022-06-07 16:04:49 normalization > 16:04:39.056324 [debug] [Thread-8  ]: On model.airbyte_utils.coach_match_sub_stats: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.coach_match_sub_stats"} */
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >   create or replace table `segment-351212`.ggpredict_airbyte.`coach_match_sub_stats`
2022-06-07 16:04:49 normalization >   partition by timestamp_trunc(_airbyte_emitted_at, day)
2022-06-07 16:04:49 normalization >   cluster by _airbyte_unique_key, _airbyte_emitted_at
2022-06-07 16:04:49 normalization >   OPTIONS()
2022-06-07 16:04:49 normalization >   as (
2022-06-07 16:04:49 normalization >     
2022-06-07 16:04:49 normalization > -- Final base SQL model
2022-06-07 16:04:49 normalization > -- depends_on: `segment-351212`.ggpredict_airbyte.`coach_match_sub_stats_scd`
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     _airbyte_unique_key,
2022-06-07 16:04:49 normalization >     score,
2022-06-07 16:04:49 normalization >     sub_stat,
2022-06-07 16:04:49 normalization >     coach_match_id,
2022-06-07 16:04:49 normalization >     _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >     coach_player_id,
2022-06-07 16:04:49 normalization >     _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >     _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >     _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >     _airbyte_ab_id,
2022-06-07 16:04:49 normalization >     _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at,
2022-06-07 16:04:49 normalization >     _airbyte_coach_match_sub_stats_hashid
2022-06-07 16:04:49 normalization > from `segment-351212`.ggpredict_airbyte.`coach_match_sub_stats_scd`
2022-06-07 16:04:49 normalization > -- coach_match_sub_stats from `segment-351212`.ggpredict_airbyte._airbyte_raw_coach_match_sub_stats
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > and _airbyte_active_row = 1
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >   );
2022-06-07 16:04:49 normalization >   
2022-06-07 16:04:49 normalization > 16:04:39.098680 [debug] [Thread-1  ]: BigQuery adapter: get_columns_in_relation error: 404 GET https://bigquery.googleapis.com/bigquery/v2/projects/segment-351212/datasets/ggpredict_airbyte/tables/user_server_live_stats?prettyPrint=false: Not found: Table segment-351212:ggpredict_airbyte.user_server_live_stats
2022-06-07 16:04:49 normalization > 16:04:39.101408 [info ] [Thread-1  ]: 16:04:39 + `segment-351212`.ggpredict_airbyte.`user_server_live_stats`._airbyte_ab_id does not exist yet. The table will be created or rebuilt with dbt.full_refresh
2022-06-07 16:04:49 normalization > 16:04:39.109748 [debug] [Thread-1  ]: Writing runtime SQL for node "model.airbyte_utils.user_server_live_stats"
2022-06-07 16:04:49 normalization > 16:04:39.110117 [debug] [Thread-1  ]: On model.airbyte_utils.user_server_live_stats: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.user_server_live_stats"} */
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >   create or replace table `segment-351212`.ggpredict_airbyte.`user_server_live_stats`
2022-06-07 16:04:49 normalization >   partition by timestamp_trunc(_airbyte_emitted_at, day)
2022-06-07 16:04:49 normalization >   cluster by _airbyte_unique_key, _airbyte_emitted_at
2022-06-07 16:04:49 normalization >   OPTIONS()
2022-06-07 16:04:49 normalization >   as (
2022-06-07 16:04:49 normalization >     
2022-06-07 16:04:49 normalization > -- Final base SQL model
2022-06-07 16:04:49 normalization > -- depends_on: `segment-351212`.ggpredict_airbyte.`user_server_live_stats_scd`
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     _airbyte_unique_key,
2022-06-07 16:04:49 normalization >     id,
2022-06-07 16:04:49 normalization >     csv_data,
2022-06-07 16:04:49 normalization >     inserted_date,
2022-06-07 16:04:49 normalization >     _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >     _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >     _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >     _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >     user_server_stats_id,
2022-06-07 16:04:49 normalization >     _airbyte_ab_id,
2022-06-07 16:04:49 normalization >     _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at,
2022-06-07 16:04:49 normalization >     _airbyte_user_server_live_stats_hashid
2022-06-07 16:04:49 normalization > from `segment-351212`.ggpredict_airbyte.`user_server_live_stats_scd`
2022-06-07 16:04:49 normalization > -- user_server_live_stats from `segment-351212`.ggpredict_airbyte._airbyte_raw_user_server_live_stats
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > and _airbyte_active_row = 1
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >   );
2022-06-07 16:04:49 normalization >   
2022-06-07 16:04:49 normalization > 16:04:40.432901 [debug] [Thread-4  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:40.434005 [info ] [Thread-4  ]: 58 of 78 OK created incremental model ggpredict_airbyte.coach_match_advanced_stats...................................... [CREATE TABLE (0.0 rows, 0 processed) in 2.22s]
2022-06-07 16:04:49 normalization > 16:04:40.434773 [debug] [Thread-4  ]: Finished running node model.airbyte_utils.coach_match_advanced_stats
2022-06-07 16:04:49 normalization > 16:04:40.435254 [debug] [Thread-4  ]: Began running node model.airbyte_utils.coach_matches
2022-06-07 16:04:49 normalization > 16:04:40.436060 [info ] [Thread-4  ]: 67 of 78 START incremental model ggpredict_airbyte.coach_matches........................................................ [RUN]
2022-06-07 16:04:49 normalization > 16:04:40.437087 [debug] [Thread-4  ]: Acquiring new bigquery connection "model.airbyte_utils.coach_matches"
2022-06-07 16:04:49 normalization > 16:04:40.437439 [debug] [Thread-4  ]: Began compiling node model.airbyte_utils.coach_matches
2022-06-07 16:04:49 normalization > 16:04:40.437747 [debug] [Thread-4  ]: Compiling model.airbyte_utils.coach_matches
2022-06-07 16:04:49 normalization > 16:04:40.450479 [debug] [Thread-4  ]: Writing injected SQL for node "model.airbyte_utils.coach_matches"
2022-06-07 16:04:49 normalization > 16:04:40.455358 [debug] [Thread-5  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:40.456923 [info ] [Thread-5  ]: 57 of 78 OK created incremental model ggpredict_airbyte.challenge_weapons............................................... [CREATE TABLE (0.0 rows, 0 processed) in 2.38s]
2022-06-07 16:04:49 normalization > 16:04:40.457452 [debug] [Thread-4  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:40.458446 [debug] [Thread-4  ]: Began executing node model.airbyte_utils.coach_matches
2022-06-07 16:04:49 normalization > 16:04:40.458875 [debug] [Thread-5  ]: Finished running node model.airbyte_utils.challenge_weapons
2022-06-07 16:04:49 normalization > 16:04:40.463556 [debug] [Thread-4  ]: Opening a new connection, currently in state closed
2022-06-07 16:04:49 normalization > 16:04:40.464133 [debug] [Thread-5  ]: Began running node model.airbyte_utils.user_challenges
2022-06-07 16:04:49 normalization > 16:04:40.465421 [info ] [Thread-5  ]: 68 of 78 START incremental model ggpredict_airbyte.user_challenges...................................................... [RUN]
2022-06-07 16:04:49 normalization > 16:04:40.466824 [debug] [Thread-5  ]: Acquiring new bigquery connection "model.airbyte_utils.user_challenges"
2022-06-07 16:04:49 normalization > 16:04:40.467251 [debug] [Thread-5  ]: Began compiling node model.airbyte_utils.user_challenges
2022-06-07 16:04:49 normalization > 16:04:40.467664 [debug] [Thread-5  ]: Compiling model.airbyte_utils.user_challenges
2022-06-07 16:04:49 normalization > 16:04:40.547796 [debug] [Thread-6  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:40.549876 [info ] [Thread-6  ]: 59 of 78 OK created incremental model ggpredict_airbyte.challenge_maps.................................................. [CREATE TABLE (0.0 rows, 0 processed) in 2.12s]
2022-06-07 16:04:49 normalization > 16:04:40.551720 [debug] [Thread-6  ]: Finished running node model.airbyte_utils.challenge_maps
2022-06-07 16:04:49 normalization > 16:04:40.552501 [debug] [Thread-6  ]: Began running node model.airbyte_utils.user_training_v2_level_segment_unit_start_sessions
2022-06-07 16:04:49 normalization > 16:04:40.555389 [info ] [Thread-6  ]: 69 of 78 START incremental model ggpredict_airbyte.user_training_v2_level_segment_unit_start_sessions................... [RUN]
2022-06-07 16:04:49 normalization > 16:04:40.556096 [debug] [Thread-6  ]: Acquiring new bigquery connection "model.airbyte_utils.user_training_v2_level_segment_unit_start_sessions"
2022-06-07 16:04:49 normalization > 16:04:40.556685 [debug] [Thread-6  ]: Began compiling node model.airbyte_utils.user_training_v2_level_segment_unit_start_sessions
2022-06-07 16:04:49 normalization > 16:04:40.556990 [debug] [Thread-6  ]: Compiling model.airbyte_utils.user_training_v2_level_segment_unit_start_sessions
2022-06-07 16:04:49 normalization > 16:04:40.566357 [debug] [Thread-6  ]: Writing injected SQL for node "model.airbyte_utils.user_training_v2_level_segment_unit_start_sessions"
2022-06-07 16:04:49 normalization > 16:04:40.567846 [debug] [Thread-6  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:40.568344 [debug] [Thread-6  ]: Began executing node model.airbyte_utils.user_training_v2_level_segment_unit_start_sessions
2022-06-07 16:04:49 normalization > 16:04:40.572053 [debug] [Thread-6  ]: Opening a new connection, currently in state closed
2022-06-07 16:04:49 normalization > 16:04:40.603386 [debug] [Thread-5  ]: Writing injected SQL for node "model.airbyte_utils.user_challenges"
2022-06-07 16:04:49 normalization > 16:04:40.603858 [debug] [Thread-5  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:40.604030 [debug] [Thread-5  ]: Began executing node model.airbyte_utils.user_challenges
2022-06-07 16:04:49 normalization > 16:04:40.643137 [debug] [Thread-5  ]: Opening a new connection, currently in state closed
2022-06-07 16:04:49 normalization > 16:04:40.804605 [debug] [Thread-3  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:40.807652 [info ] [Thread-3  ]: 62 of 78 OK created incremental model ggpredict_airbyte.challenge_types................................................. [CREATE TABLE (0.0 rows, 0 processed) in 2.34s]
2022-06-07 16:04:49 normalization > 16:04:40.811682 [debug] [Thread-3  ]: Finished running node model.airbyte_utils.challenge_types
2022-06-07 16:04:49 normalization > 16:04:40.816366 [debug] [Thread-3  ]: Began running node model.airbyte_utils.user_matches
2022-06-07 16:04:49 normalization > 16:04:40.818808 [info ] [Thread-3  ]: 70 of 78 START incremental model ggpredict_airbyte.user_matches......................................................... [RUN]
2022-06-07 16:04:49 normalization > 16:04:40.820092 [debug] [Thread-3  ]: Acquiring new bigquery connection "model.airbyte_utils.user_matches"
2022-06-07 16:04:49 normalization > 16:04:40.825862 [debug] [Thread-3  ]: Began compiling node model.airbyte_utils.user_matches
2022-06-07 16:04:49 normalization > 16:04:40.826443 [debug] [Thread-3  ]: Compiling model.airbyte_utils.user_matches
2022-06-07 16:04:49 normalization > 16:04:40.841462 [debug] [Thread-3  ]: Writing injected SQL for node "model.airbyte_utils.user_matches"
2022-06-07 16:04:49 normalization > 16:04:40.841849 [debug] [Thread-3  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:40.842065 [debug] [Thread-3  ]: Began executing node model.airbyte_utils.user_matches
2022-06-07 16:04:49 normalization > 16:04:40.847407 [debug] [Thread-3  ]: Opening a new connection, currently in state closed
2022-06-07 16:04:49 normalization > 16:04:40.847956 [debug] [Thread-5  ]: BigQuery adapter: get_columns_in_relation error: 404 GET https://bigquery.googleapis.com/bigquery/v2/projects/segment-351212/datasets/ggpredict_airbyte/tables/user_challenges?prettyPrint=false: Not found: Table segment-351212:ggpredict_airbyte.user_challenges
2022-06-07 16:04:49 normalization > 16:04:40.850576 [info ] [Thread-5  ]: 16:04:40 + `segment-351212`.ggpredict_airbyte.`user_challenges`._airbyte_ab_id does not exist yet. The table will be created or rebuilt with dbt.full_refresh
2022-06-07 16:04:49 normalization > 16:04:40.856314 [debug] [Thread-5  ]: Writing runtime SQL for node "model.airbyte_utils.user_challenges"
2022-06-07 16:04:49 normalization > 16:04:40.856791 [debug] [Thread-5  ]: On model.airbyte_utils.user_challenges: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.user_challenges"} */
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >   create or replace table `segment-351212`.ggpredict_airbyte.`user_challenges`
2022-06-07 16:04:49 normalization >   partition by timestamp_trunc(_airbyte_emitted_at, day)
2022-06-07 16:04:49 normalization >   cluster by _airbyte_unique_key, _airbyte_emitted_at
2022-06-07 16:04:49 normalization >   OPTIONS()
2022-06-07 16:04:49 normalization >   as (
2022-06-07 16:04:49 normalization >     
2022-06-07 16:04:49 normalization > -- Final base SQL model
2022-06-07 16:04:49 normalization > -- depends_on: `segment-351212`.ggpredict_airbyte.`user_challenges_scd`
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     _airbyte_unique_key,
2022-06-07 16:04:49 normalization >     id,
2022-06-07 16:04:49 normalization >     user_id,
2022-06-07 16:04:49 normalization >     progress,
2022-06-07 16:04:49 normalization >     challenge_id,
2022-06-07 16:04:49 normalization >     finished_date,
2022-06-07 16:04:49 normalization >     inserted_date,
2022-06-07 16:04:49 normalization >     _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >     _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >     _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >     _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >     _airbyte_ab_id,
2022-06-07 16:04:49 normalization >     _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at,
2022-06-07 16:04:49 normalization >     _airbyte_user_challenges_hashid
2022-06-07 16:04:49 normalization > from `segment-351212`.ggpredict_airbyte.`user_challenges_scd`
2022-06-07 16:04:49 normalization > -- user_challenges from `segment-351212`.ggpredict_airbyte._airbyte_raw_user_challenges
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > and _airbyte_active_row = 1
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >   );
2022-06-07 16:04:49 normalization >   
2022-06-07 16:04:49 normalization > 16:04:40.868374 [debug] [Thread-4  ]: BigQuery adapter: get_columns_in_relation error: 404 GET https://bigquery.googleapis.com/bigquery/v2/projects/segment-351212/datasets/ggpredict_airbyte/tables/coach_matches?prettyPrint=false: Not found: Table segment-351212:ggpredict_airbyte.coach_matches
2022-06-07 16:04:49 normalization > 16:04:40.870923 [info ] [Thread-4  ]: 16:04:40 + `segment-351212`.ggpredict_airbyte.`coach_matches`._airbyte_ab_id does not exist yet. The table will be created or rebuilt with dbt.full_refresh
2022-06-07 16:04:49 normalization > 16:04:40.873327 [debug] [Thread-6  ]: BigQuery adapter: get_columns_in_relation error: 404 GET https://bigquery.googleapis.com/bigquery/v2/projects/segment-351212/datasets/ggpredict_airbyte/tables/user_training_v2_level_segment_unit_start_sessions?prettyPrint=false: Not found: Table segment-351212:ggpredict_airbyte.user_training_v2_level_segment_unit_start_sessions
2022-06-07 16:04:49 normalization > 16:04:40.883296 [info ] [Thread-6  ]: 16:04:40 + `segment-351212`.ggpredict_airbyte.`user_training_v2_level_segment_unit_start_sessions`._airbyte_ab_id does not exist yet. The table will be created or rebuilt with dbt.full_refresh
2022-06-07 16:04:49 normalization > 16:04:40.884291 [debug] [Thread-4  ]: Writing runtime SQL for node "model.airbyte_utils.coach_matches"
2022-06-07 16:04:49 normalization > 16:04:40.891243 [debug] [Thread-6  ]: Writing runtime SQL for node "model.airbyte_utils.user_training_v2_level_segment_unit_start_sessions"
2022-06-07 16:04:49 normalization > 16:04:40.898116 [debug] [Thread-2  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:40.899988 [debug] [Thread-4  ]: On model.airbyte_utils.coach_matches: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.coach_matches"} */
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >   create or replace table `segment-351212`.ggpredict_airbyte.`coach_matches`
2022-06-07 16:04:49 normalization >   partition by timestamp_trunc(_airbyte_emitted_at, day)
2022-06-07 16:04:49 normalization >   cluster by _airbyte_unique_key, _airbyte_emitted_at
2022-06-07 16:04:49 normalization >   OPTIONS()
2022-06-07 16:04:49 normalization >   as (
2022-06-07 16:04:49 normalization >     
2022-06-07 16:04:49 normalization > -- Final base SQL model
2022-06-07 16:04:49 normalization > -- depends_on: `segment-351212`.ggpredict_airbyte.`coach_matches_scd`
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     _airbyte_unique_key,
2022-06-07 16:04:49 normalization >     id,
2022-06-07 16:04:49 normalization >     map_id,
2022-06-07 16:04:49 normalization >     demo_url,
2022-06-07 16:04:49 normalization >     match_id,
2022-06-07 16:04:49 normalization >     reported,
2022-06-07 16:04:49 normalization >     match_date,
2022-06-07 16:04:49 normalization >     match_type,
2022-06-07 16:04:49 normalization >     downloaded_at,
2022-06-07 16:04:49 normalization >     inserted_date,
2022-06-07 16:04:49 normalization >     match_platform,
2022-06-07 16:04:49 normalization >     _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >     left_team_score,
2022-06-07 16:04:49 normalization >     _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >     right_team_score,
2022-06-07 16:04:49 normalization >     side_surrendered,
2022-06-07 16:04:49 normalization >     _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >     _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >     coach_match_states,
2022-06-07 16:04:49 normalization >     processing_finished,
2022-06-07 16:04:49 normalization >     _airbyte_ab_id,
2022-06-07 16:04:49 normalization >     _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at,
2022-06-07 16:04:49 normalization >     _airbyte_coach_matches_hashid
2022-06-07 16:04:49 normalization > from `segment-351212`.ggpredict_airbyte.`coach_matches_scd`
2022-06-07 16:04:49 normalization > -- coach_matches from `segment-351212`.ggpredict_airbyte._airbyte_raw_coach_matches
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > and _airbyte_active_row = 1
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >   );
2022-06-07 16:04:49 normalization >   
2022-06-07 16:04:49 normalization > 16:04:40.905755 [debug] [Thread-1  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:40.907162 [debug] [Thread-6  ]: On model.airbyte_utils.user_training_v2_level_segment_unit_start_sessions: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.user_training_v2_level_segment_unit_start_sessions"} */
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >   create or replace table `segment-351212`.ggpredict_airbyte.`user_training_v2_level_segment_unit_start_sessions`
2022-06-07 16:04:49 normalization >   partition by timestamp_trunc(_airbyte_emitted_at, day)
2022-06-07 16:04:49 normalization >   cluster by _airbyte_unique_key, _airbyte_emitted_at
2022-06-07 16:04:49 normalization >   OPTIONS()
2022-06-07 16:04:49 normalization >   as (
2022-06-07 16:04:49 normalization >     
2022-06-07 16:04:49 normalization > -- Final base SQL model
2022-06-07 16:04:49 normalization > -- depends_on: `segment-351212`.ggpredict_airbyte.`user_training_v2_level_segment_unit_start_sessions_scd`
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     _airbyte_unique_key,
2022-06-07 16:04:49 normalization >     id,
2022-06-07 16:04:49 normalization >     server_ip,
2022-06-07 16:04:49 normalization >     inserted_date,
2022-06-07 16:04:49 normalization >     _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >     _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >     _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >     _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >     user_training_v2_level_segment_unit_id,
2022-06-07 16:04:49 normalization >     _airbyte_ab_id,
2022-06-07 16:04:49 normalization >     _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at,
2022-06-07 16:04:49 normalization >     _airbyte_user_training_v2_level_segment_unit_start_sessions_hashid
2022-06-07 16:04:49 normalization > from `segment-351212`.ggpredict_airbyte.`user_training_v2_level_segment_unit_start_sessions_scd`
2022-06-07 16:04:49 normalization > -- user_training_v2_level_segment_unit_start_sessions from `segment-351212`.ggpredict_airbyte._airbyte_raw_user_training_v2_level_segment_unit_start_sessions
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > and _airbyte_active_row = 1
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >   );
2022-06-07 16:04:49 normalization >   
2022-06-07 16:04:49 normalization > 16:04:40.908194 [info ] [Thread-2  ]: 63 of 78 OK created incremental model ggpredict_airbyte.coach_players................................................... [CREATE TABLE (0.0 rows, 0 processed) in 2.39s]
2022-06-07 16:04:49 normalization > 16:04:40.912244 [info ] [Thread-1  ]: 66 of 78 OK created incremental model ggpredict_airbyte.user_server_live_stats.......................................... [CREATE TABLE (0.0 rows, 0 processed) in 2.10s]
2022-06-07 16:04:49 normalization > 16:04:40.918583 [debug] [Thread-2  ]: Finished running node model.airbyte_utils.coach_players
2022-06-07 16:04:49 normalization > 16:04:40.920331 [debug] [Thread-1  ]: Finished running node model.airbyte_utils.user_server_live_stats
2022-06-07 16:04:49 normalization > 16:04:40.921023 [debug] [Thread-2  ]: Began running node model.airbyte_utils.user_server_weapon_stats
2022-06-07 16:04:49 normalization > 16:04:40.925387 [debug] [Thread-1  ]: Began running node model.airbyte_utils.user_training_v2_level_segment_unit_stats
2022-06-07 16:04:49 normalization > 16:04:40.927059 [info ] [Thread-2  ]: 71 of 78 START incremental model ggpredict_airbyte.user_server_weapon_stats............................................. [RUN]
2022-06-07 16:04:49 normalization > 16:04:40.927733 [info ] [Thread-1  ]: 72 of 78 START incremental model ggpredict_airbyte.user_training_v2_level_segment_unit_stats............................ [RUN]
2022-06-07 16:04:49 normalization > 16:04:40.929077 [debug] [Thread-2  ]: Acquiring new bigquery connection "model.airbyte_utils.user_server_weapon_stats"
2022-06-07 16:04:49 normalization > 16:04:40.930363 [debug] [Thread-1  ]: Acquiring new bigquery connection "model.airbyte_utils.user_training_v2_level_segment_unit_stats"
2022-06-07 16:04:49 normalization > 16:04:40.930802 [debug] [Thread-2  ]: Began compiling node model.airbyte_utils.user_server_weapon_stats
2022-06-07 16:04:49 normalization > 16:04:40.931267 [debug] [Thread-1  ]: Began compiling node model.airbyte_utils.user_training_v2_level_segment_unit_stats
2022-06-07 16:04:49 normalization > 16:04:40.931702 [debug] [Thread-2  ]: Compiling model.airbyte_utils.user_server_weapon_stats
2022-06-07 16:04:49 normalization > 16:04:40.932172 [debug] [Thread-1  ]: Compiling model.airbyte_utils.user_training_v2_level_segment_unit_stats
2022-06-07 16:04:49 normalization > 16:04:40.945562 [debug] [Thread-2  ]: Writing injected SQL for node "model.airbyte_utils.user_server_weapon_stats"
2022-06-07 16:04:49 normalization > 16:04:40.965743 [debug] [Thread-1  ]: Writing injected SQL for node "model.airbyte_utils.user_training_v2_level_segment_unit_stats"
2022-06-07 16:04:49 normalization > 16:04:40.969930 [debug] [Thread-2  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:40.970284 [debug] [Thread-1  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:40.970590 [debug] [Thread-2  ]: Began executing node model.airbyte_utils.user_server_weapon_stats
2022-06-07 16:04:49 normalization > 16:04:40.970945 [debug] [Thread-1  ]: Began executing node model.airbyte_utils.user_training_v2_level_segment_unit_stats
2022-06-07 16:04:49 normalization > 16:04:40.978404 [debug] [Thread-2  ]: Opening a new connection, currently in state closed
2022-06-07 16:04:49 normalization > 16:04:40.984527 [debug] [Thread-1  ]: Opening a new connection, currently in state closed
2022-06-07 16:04:49 normalization > 16:04:41.054996 [debug] [Thread-8  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:41.057393 [info ] [Thread-8  ]: 64 of 78 OK created incremental model ggpredict_airbyte.coach_match_sub_stats........................................... [CREATE TABLE (0.0 rows, 0 processed) in 2.43s]
2022-06-07 16:04:49 normalization > 16:04:41.062723 [debug] [Thread-7  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:41.063226 [debug] [Thread-8  ]: Finished running node model.airbyte_utils.coach_match_sub_stats
2022-06-07 16:04:49 normalization > 16:04:41.063978 [info ] [Thread-7  ]: 65 of 78 OK created incremental model ggpredict_airbyte.missplays....................................................... [CREATE TABLE (0.0 rows, 0 processed) in 2.41s]
2022-06-07 16:04:49 normalization > 16:04:41.064466 [debug] [Thread-8  ]: Began running node model.airbyte_utils.user_training_v2_level_segment_units
2022-06-07 16:04:49 normalization > 16:04:41.065225 [debug] [Thread-7  ]: Finished running node model.airbyte_utils.missplays
2022-06-07 16:04:49 normalization > 16:04:41.065856 [info ] [Thread-8  ]: 73 of 78 START incremental model ggpredict_airbyte.user_training_v2_level_segment_units................................. [RUN]
2022-06-07 16:04:49 normalization > 16:04:41.066386 [debug] [Thread-7  ]: Began running node model.airbyte_utils.user_training_v2_level_segments
2022-06-07 16:04:49 normalization > 16:04:41.067941 [debug] [Thread-8  ]: Acquiring new bigquery connection "model.airbyte_utils.user_training_v2_level_segment_units"
2022-06-07 16:04:49 normalization > 16:04:41.068511 [info ] [Thread-7  ]: 74 of 78 START incremental model ggpredict_airbyte.user_training_v2_level_segments...................................... [RUN]
2022-06-07 16:04:49 normalization > 16:04:41.068970 [debug] [Thread-8  ]: Began compiling node model.airbyte_utils.user_training_v2_level_segment_units
2022-06-07 16:04:49 normalization > 16:04:41.069962 [debug] [Thread-7  ]: Acquiring new bigquery connection "model.airbyte_utils.user_training_v2_level_segments"
2022-06-07 16:04:49 normalization > 16:04:41.070343 [debug] [Thread-8  ]: Compiling model.airbyte_utils.user_training_v2_level_segment_units
2022-06-07 16:04:49 normalization > 16:04:41.070766 [debug] [Thread-7  ]: Began compiling node model.airbyte_utils.user_training_v2_level_segments
2022-06-07 16:04:49 normalization > 16:04:41.086330 [debug] [Thread-8  ]: Writing injected SQL for node "model.airbyte_utils.user_training_v2_level_segment_units"
2022-06-07 16:04:49 normalization > 16:04:41.087147 [debug] [Thread-7  ]: Compiling model.airbyte_utils.user_training_v2_level_segments
2022-06-07 16:04:49 normalization > 16:04:41.097859 [debug] [Thread-8  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:41.108449 [debug] [Thread-8  ]: Began executing node model.airbyte_utils.user_training_v2_level_segment_units
2022-06-07 16:04:49 normalization > 16:04:41.108758 [debug] [Thread-7  ]: Writing injected SQL for node "model.airbyte_utils.user_training_v2_level_segments"
2022-06-07 16:04:49 normalization > 16:04:41.114493 [debug] [Thread-8  ]: Opening a new connection, currently in state closed
2022-06-07 16:04:49 normalization > 16:04:41.115278 [debug] [Thread-7  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:41.115569 [debug] [Thread-7  ]: Began executing node model.airbyte_utils.user_training_v2_level_segments
2022-06-07 16:04:49 normalization > 16:04:41.121238 [debug] [Thread-7  ]: Opening a new connection, currently in state closed
2022-06-07 16:04:49 normalization > 16:04:41.162871 [debug] [Thread-3  ]: BigQuery adapter: get_columns_in_relation error: 404 GET https://bigquery.googleapis.com/bigquery/v2/projects/segment-351212/datasets/ggpredict_airbyte/tables/user_matches?prettyPrint=false: Not found: Table segment-351212:ggpredict_airbyte.user_matches
2022-06-07 16:04:49 normalization > 16:04:41.165915 [info ] [Thread-3  ]: 16:04:41 + `segment-351212`.ggpredict_airbyte.`user_matches`._airbyte_ab_id does not exist yet. The table will be created or rebuilt with dbt.full_refresh
2022-06-07 16:04:49 normalization > 16:04:41.174247 [debug] [Thread-3  ]: Writing runtime SQL for node "model.airbyte_utils.user_matches"
2022-06-07 16:04:49 normalization > 16:04:41.174998 [debug] [Thread-3  ]: On model.airbyte_utils.user_matches: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.user_matches"} */
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >   create or replace table `segment-351212`.ggpredict_airbyte.`user_matches`
2022-06-07 16:04:49 normalization >   partition by timestamp_trunc(_airbyte_emitted_at, day)
2022-06-07 16:04:49 normalization >   cluster by _airbyte_unique_key, _airbyte_emitted_at
2022-06-07 16:04:49 normalization >   OPTIONS()
2022-06-07 16:04:49 normalization >   as (
2022-06-07 16:04:49 normalization >     
2022-06-07 16:04:49 normalization > -- Final base SQL model
2022-06-07 16:04:49 normalization > -- depends_on: `segment-351212`.ggpredict_airbyte.`user_matches_scd`
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     _airbyte_unique_key,
2022-06-07 16:04:49 normalization >     user_id,
2022-06-07 16:04:49 normalization >     team_side,
2022-06-07 16:04:49 normalization >     steam_id_64,
2022-06-07 16:04:49 normalization >     coach_match_id,
2022-06-07 16:04:49 normalization >     _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >     _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >     _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >     _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >     _airbyte_ab_id,
2022-06-07 16:04:49 normalization >     _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at,
2022-06-07 16:04:49 normalization >     _airbyte_user_matches_hashid
2022-06-07 16:04:49 normalization > from `segment-351212`.ggpredict_airbyte.`user_matches_scd`
2022-06-07 16:04:49 normalization > -- user_matches from `segment-351212`.ggpredict_airbyte._airbyte_raw_user_matches
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > and _airbyte_active_row = 1
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >   );
2022-06-07 16:04:49 normalization >   
2022-06-07 16:04:49 normalization > 16:04:41.285090 [debug] [Thread-2  ]: BigQuery adapter: get_columns_in_relation error: 404 GET https://bigquery.googleapis.com/bigquery/v2/projects/segment-351212/datasets/ggpredict_airbyte/tables/user_server_weapon_stats?prettyPrint=false: Not found: Table segment-351212:ggpredict_airbyte.user_server_weapon_stats
2022-06-07 16:04:49 normalization > 16:04:41.285833 [debug] [Thread-1  ]: BigQuery adapter: get_columns_in_relation error: 404 GET https://bigquery.googleapis.com/bigquery/v2/projects/segment-351212/datasets/ggpredict_airbyte/tables/user_training_v2_level_segment_unit_stats?prettyPrint=false: Not found: Table segment-351212:ggpredict_airbyte.user_training_v2_level_segment_unit_stats
2022-06-07 16:04:49 normalization > 16:04:41.288839 [info ] [Thread-2  ]: 16:04:41 + `segment-351212`.ggpredict_airbyte.`user_server_weapon_stats`._airbyte_ab_id does not exist yet. The table will be created or rebuilt with dbt.full_refresh
2022-06-07 16:04:49 normalization > 16:04:41.291629 [info ] [Thread-1  ]: 16:04:41 + `segment-351212`.ggpredict_airbyte.`user_training_v2_level_segment_unit_stats`._airbyte_ab_id does not exist yet. The table will be created or rebuilt with dbt.full_refresh
2022-06-07 16:04:49 normalization > 16:04:41.299066 [debug] [Thread-2  ]: Writing runtime SQL for node "model.airbyte_utils.user_server_weapon_stats"
2022-06-07 16:04:49 normalization > 16:04:41.305491 [debug] [Thread-1  ]: Writing runtime SQL for node "model.airbyte_utils.user_training_v2_level_segment_unit_stats"
2022-06-07 16:04:49 normalization > 16:04:41.306318 [debug] [Thread-2  ]: On model.airbyte_utils.user_server_weapon_stats: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.user_server_weapon_stats"} */
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >   create or replace table `segment-351212`.ggpredict_airbyte.`user_server_weapon_stats`
2022-06-07 16:04:49 normalization >   partition by timestamp_trunc(_airbyte_emitted_at, day)
2022-06-07 16:04:49 normalization >   cluster by _airbyte_unique_key, _airbyte_emitted_at
2022-06-07 16:04:49 normalization >   OPTIONS()
2022-06-07 16:04:49 normalization >   as (
2022-06-07 16:04:49 normalization >     
2022-06-07 16:04:49 normalization > -- Final base SQL model
2022-06-07 16:04:49 normalization > -- depends_on: `segment-351212`.ggpredict_airbyte.`user_server_weapon_stats_scd`
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     _airbyte_unique_key,
2022-06-07 16:04:49 normalization >     id,
2022-06-07 16:04:49 normalization >     hits,
2022-06-07 16:04:49 normalization >     kills,
2022-06-07 16:04:49 normalization >     shots,
2022-06-07 16:04:49 normalization >     damage,
2022-06-07 16:04:49 normalization >     kills_hs,
2022-06-07 16:04:49 normalization >     weapon_id,
2022-06-07 16:04:49 normalization >     hitgroup_gear,
2022-06-07 16:04:49 normalization >     hitgroup_head,
2022-06-07 16:04:49 normalization >     hitgroup_neck,
2022-06-07 16:04:49 normalization >     hitgroup_chest,
2022-06-07 16:04:49 normalization >     _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >     time_possession,
2022-06-07 16:04:49 normalization >     _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >     hitgroup_generic,
2022-06-07 16:04:49 normalization >     hitgroup_leftarm,
2022-06-07 16:04:49 normalization >     hitgroup_leftleg,
2022-06-07 16:04:49 normalization >     hitgroup_stomach,
2022-06-07 16:04:49 normalization >     hitgroup_rightarm,
2022-06-07 16:04:49 normalization >     hitgroup_rightleg,
2022-06-07 16:04:49 normalization >     _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >     _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >     user_server_stats_id,
2022-06-07 16:04:49 normalization >     _airbyte_ab_id,
2022-06-07 16:04:49 normalization >     _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at,
2022-06-07 16:04:49 normalization >     _airbyte_user_server_weapon_stats_hashid
2022-06-07 16:04:49 normalization > from `segment-351212`.ggpredict_airbyte.`user_server_weapon_stats_scd`
2022-06-07 16:04:49 normalization > -- user_server_weapon_stats from `segment-351212`.ggpredict_airbyte._airbyte_raw_user_server_weapon_stats
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > and _airbyte_active_row = 1
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >   );
2022-06-07 16:04:49 normalization >   
2022-06-07 16:04:49 normalization > 16:04:41.308475 [debug] [Thread-1  ]: On model.airbyte_utils.user_training_v2_level_segment_unit_stats: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.user_training_v2_level_segment_unit_stats"} */
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >   create or replace table `segment-351212`.ggpredict_airbyte.`user_training_v2_level_segment_unit_stats`
2022-06-07 16:04:49 normalization >   partition by timestamp_trunc(_airbyte_emitted_at, day)
2022-06-07 16:04:49 normalization >   cluster by _airbyte_unique_key, _airbyte_emitted_at
2022-06-07 16:04:49 normalization >   OPTIONS()
2022-06-07 16:04:49 normalization >   as (
2022-06-07 16:04:49 normalization >     
2022-06-07 16:04:49 normalization > -- Final base SQL model
2022-06-07 16:04:49 normalization > -- depends_on: `segment-351212`.ggpredict_airbyte.`user_training_v2_level_segment_unit_stats_scd`
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     _airbyte_unique_key,
2022-06-07 16:04:49 normalization >     id,
2022-06-07 16:04:49 normalization >     map,
2022-06-07 16:04:49 normalization >     kills,
2022-06-07 16:04:49 normalization >     deaths,
2022-06-07 16:04:49 normalization >     assists,
2022-06-07 16:04:49 normalization >     kills_hs,
2022-06-07 16:04:49 normalization >     inserted_date,
2022-06-07 16:04:49 normalization >     play_time_in_s,
2022-06-07 16:04:49 normalization >     _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >     _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >     _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >     _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >     user_training_v2_level_segment_unit_id,
2022-06-07 16:04:49 normalization >     _airbyte_ab_id,
2022-06-07 16:04:49 normalization >     _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at,
2022-06-07 16:04:49 normalization >     _airbyte_user_training_v2_level_segment_unit_stats_hashid
2022-06-07 16:04:49 normalization > from `segment-351212`.ggpredict_airbyte.`user_training_v2_level_segment_unit_stats_scd`
2022-06-07 16:04:49 normalization > -- user_training_v2_level_segment_unit_stats from `segment-351212`.ggpredict_airbyte._airbyte_raw_user_training_v2_level_segment_unit_stats
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > and _airbyte_active_row = 1
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >   );
2022-06-07 16:04:49 normalization >   
2022-06-07 16:04:49 normalization > 16:04:41.317615 [debug] [Thread-7  ]: BigQuery adapter: get_columns_in_relation error: 404 GET https://bigquery.googleapis.com/bigquery/v2/projects/segment-351212/datasets/ggpredict_airbyte/tables/user_training_v2_level_segments?prettyPrint=false: Not found: Table segment-351212:ggpredict_airbyte.user_training_v2_level_segments
2022-06-07 16:04:49 normalization > 16:04:41.318749 [info ] [Thread-7  ]: 16:04:41 + `segment-351212`.ggpredict_airbyte.`user_training_v2_level_segments`._airbyte_ab_id does not exist yet. The table will be created or rebuilt with dbt.full_refresh
2022-06-07 16:04:49 normalization > 16:04:41.324036 [debug] [Thread-7  ]: Writing runtime SQL for node "model.airbyte_utils.user_training_v2_level_segments"
2022-06-07 16:04:49 normalization > 16:04:41.324622 [debug] [Thread-7  ]: On model.airbyte_utils.user_training_v2_level_segments: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.user_training_v2_level_segments"} */
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >   create or replace table `segment-351212`.ggpredict_airbyte.`user_training_v2_level_segments`
2022-06-07 16:04:49 normalization >   partition by timestamp_trunc(_airbyte_emitted_at, day)
2022-06-07 16:04:49 normalization >   cluster by _airbyte_unique_key, _airbyte_emitted_at
2022-06-07 16:04:49 normalization >   OPTIONS()
2022-06-07 16:04:49 normalization >   as (
2022-06-07 16:04:49 normalization >     
2022-06-07 16:04:49 normalization > -- Final base SQL model
2022-06-07 16:04:49 normalization > -- depends_on: `segment-351212`.ggpredict_airbyte.`user_training_v2_level_segments_scd`
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     _airbyte_unique_key,
2022-06-07 16:04:49 normalization >     id,
2022-06-07 16:04:49 normalization >     name,
2022-06-07 16:04:49 normalization >     is_done,
2022-06-07 16:04:49 normalization >     _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >     _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >     current_progress,
2022-06-07 16:04:49 normalization >     _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >     _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >     user_training_v2_level_id,
2022-06-07 16:04:49 normalization >     user_training_stats_per_level_id,
2022-06-07 16:04:49 normalization >     _airbyte_ab_id,
2022-06-07 16:04:49 normalization >     _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at,
2022-06-07 16:04:49 normalization >     _airbyte_user_training_v2_level_segments_hashid
2022-06-07 16:04:49 normalization > from `segment-351212`.ggpredict_airbyte.`user_training_v2_level_segments_scd`
2022-06-07 16:04:49 normalization > -- user_training_v2_level_segments from `segment-351212`.ggpredict_airbyte._airbyte_raw_user_training_v2_level_segments
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > and _airbyte_active_row = 1
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >   );
2022-06-07 16:04:49 normalization >   
2022-06-07 16:04:49 normalization > 16:04:41.375575 [debug] [Thread-8  ]: BigQuery adapter: get_columns_in_relation error: 404 GET https://bigquery.googleapis.com/bigquery/v2/projects/segment-351212/datasets/ggpredict_airbyte/tables/user_training_v2_level_segment_units?prettyPrint=false: Not found: Table segment-351212:ggpredict_airbyte.user_training_v2_level_segment_units
2022-06-07 16:04:49 normalization > 16:04:41.378129 [info ] [Thread-8  ]: 16:04:41 + `segment-351212`.ggpredict_airbyte.`user_training_v2_level_segment_units`._airbyte_ab_id does not exist yet. The table will be created or rebuilt with dbt.full_refresh
2022-06-07 16:04:49 normalization > 16:04:41.384643 [debug] [Thread-8  ]: Writing runtime SQL for node "model.airbyte_utils.user_training_v2_level_segment_units"
2022-06-07 16:04:49 normalization > 16:04:41.385091 [debug] [Thread-8  ]: On model.airbyte_utils.user_training_v2_level_segment_units: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.user_training_v2_level_segment_units"} */
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >   create or replace table `segment-351212`.ggpredict_airbyte.`user_training_v2_level_segment_units`
2022-06-07 16:04:49 normalization >   partition by timestamp_trunc(_airbyte_emitted_at, day)
2022-06-07 16:04:49 normalization >   cluster by _airbyte_unique_key, _airbyte_emitted_at
2022-06-07 16:04:49 normalization >   OPTIONS()
2022-06-07 16:04:49 normalization >   as (
2022-06-07 16:04:49 normalization >     
2022-06-07 16:04:49 normalization > -- Final base SQL model
2022-06-07 16:04:49 normalization > -- depends_on: `segment-351212`.ggpredict_airbyte.`user_training_v2_level_segment_units_scd`
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     _airbyte_unique_key,
2022-06-07 16:04:49 normalization >     id,
2022-06-07 16:04:49 normalization >     goal,
2022-06-07 16:04:49 normalization >     name,
2022-06-07 16:04:49 normalization >     status,
2022-06-07 16:04:49 normalization >     goal_type,
2022-06-07 16:04:49 normalization >     started_date,
2022-06-07 16:04:49 normalization >     completed_date,
2022-06-07 16:04:49 normalization >     _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >     message_variant,
2022-06-07 16:04:49 normalization >     _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >     current_progress,
2022-06-07 16:04:49 normalization >     manual_completed,
2022-06-07 16:04:49 normalization >     _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >     _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >     user_training_v2_level_segment_id,
2022-06-07 16:04:49 normalization >     _airbyte_ab_id,
2022-06-07 16:04:49 normalization >     _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at,
2022-06-07 16:04:49 normalization >     _airbyte_user_training_v2_level_segment_units_hashid
2022-06-07 16:04:49 normalization > from `segment-351212`.ggpredict_airbyte.`user_training_v2_level_segment_units_scd`
2022-06-07 16:04:49 normalization > -- user_training_v2_level_segment_units from `segment-351212`.ggpredict_airbyte._airbyte_raw_user_training_v2_level_segment_units
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > and _airbyte_active_row = 1
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >   );
2022-06-07 16:04:49 normalization >   
2022-06-07 16:04:49 normalization > 16:04:42.702660 [debug] [Thread-6  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:42.703956 [info ] [Thread-6  ]: 69 of 78 OK created incremental model ggpredict_airbyte.user_training_v2_level_segment_unit_start_sessions.............. [CREATE TABLE (0.0 rows, 0 processed) in 2.15s]
2022-06-07 16:04:49 normalization > 16:04:42.704855 [debug] [Thread-6  ]: Finished running node model.airbyte_utils.user_training_v2_level_segment_unit_start_sessions
2022-06-07 16:04:49 normalization > 16:04:42.705405 [debug] [Thread-6  ]: Began running node model.airbyte_utils.user_training_v2_levels
2022-06-07 16:04:49 normalization > 16:04:42.706192 [info ] [Thread-6  ]: 75 of 78 START incremental model ggpredict_airbyte.user_training_v2_levels.............................................. [RUN]
2022-06-07 16:04:49 normalization > 16:04:42.707340 [debug] [Thread-6  ]: Acquiring new bigquery connection "model.airbyte_utils.user_training_v2_levels"
2022-06-07 16:04:49 normalization > 16:04:42.707718 [debug] [Thread-6  ]: Began compiling node model.airbyte_utils.user_training_v2_levels
2022-06-07 16:04:49 normalization > 16:04:42.708072 [debug] [Thread-6  ]: Compiling model.airbyte_utils.user_training_v2_levels
2022-06-07 16:04:49 normalization > 16:04:42.720198 [debug] [Thread-6  ]: Writing injected SQL for node "model.airbyte_utils.user_training_v2_levels"
2022-06-07 16:04:49 normalization > 16:04:42.720569 [debug] [Thread-6  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:42.720767 [debug] [Thread-6  ]: Began executing node model.airbyte_utils.user_training_v2_levels
2022-06-07 16:04:49 normalization > 16:04:42.724365 [debug] [Thread-6  ]: Opening a new connection, currently in state closed
2022-06-07 16:04:49 normalization > 16:04:42.912756 [debug] [Thread-6  ]: BigQuery adapter: get_columns_in_relation error: 404 GET https://bigquery.googleapis.com/bigquery/v2/projects/segment-351212/datasets/ggpredict_airbyte/tables/user_training_v2_levels?prettyPrint=false: Not found: Table segment-351212:ggpredict_airbyte.user_training_v2_levels
2022-06-07 16:04:49 normalization > 16:04:42.914133 [info ] [Thread-6  ]: 16:04:42 + `segment-351212`.ggpredict_airbyte.`user_training_v2_levels`._airbyte_ab_id does not exist yet. The table will be created or rebuilt with dbt.full_refresh
2022-06-07 16:04:49 normalization > 16:04:42.918358 [debug] [Thread-6  ]: Writing runtime SQL for node "model.airbyte_utils.user_training_v2_levels"
2022-06-07 16:04:49 normalization > 16:04:42.918775 [debug] [Thread-6  ]: On model.airbyte_utils.user_training_v2_levels: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.user_training_v2_levels"} */
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >   create or replace table `segment-351212`.ggpredict_airbyte.`user_training_v2_levels`
2022-06-07 16:04:49 normalization >   partition by timestamp_trunc(_airbyte_emitted_at, day)
2022-06-07 16:04:49 normalization >   cluster by _airbyte_unique_key, _airbyte_emitted_at
2022-06-07 16:04:49 normalization >   OPTIONS()
2022-06-07 16:04:49 normalization >   as (
2022-06-07 16:04:49 normalization >     
2022-06-07 16:04:49 normalization > -- Final base SQL model
2022-06-07 16:04:49 normalization > -- depends_on: `segment-351212`.ggpredict_airbyte.`user_training_v2_levels_scd`
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     _airbyte_unique_key,
2022-06-07 16:04:49 normalization >     id,
2022-06-07 16:04:49 normalization >     level,
2022-06-07 16:04:49 normalization >     finished_date,
2022-06-07 16:04:49 normalization >     inserted_date,
2022-06-07 16:04:49 normalization >     _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >     current_overall,
2022-06-07 16:04:49 normalization >     _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >     overall_at_start,
2022-06-07 16:04:49 normalization >     _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >     _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >     user_training_v2_id,
2022-06-07 16:04:49 normalization >     _airbyte_ab_id,
2022-06-07 16:04:49 normalization >     _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at,
2022-06-07 16:04:49 normalization >     _airbyte_user_training_v2_levels_hashid
2022-06-07 16:04:49 normalization > from `segment-351212`.ggpredict_airbyte.`user_training_v2_levels_scd`
2022-06-07 16:04:49 normalization > -- user_training_v2_levels from `segment-351212`.ggpredict_airbyte._airbyte_raw_user_training_v2_levels
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > and _airbyte_active_row = 1
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >   );
2022-06-07 16:04:49 normalization >   
2022-06-07 16:04:49 normalization > 16:04:42.934065 [debug] [Thread-5  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:42.934798 [info ] [Thread-5  ]: 68 of 78 OK created incremental model ggpredict_airbyte.user_challenges................................................. [CREATE TABLE (0.0 rows, 0 processed) in 2.47s]
2022-06-07 16:04:49 normalization > 16:04:42.935321 [debug] [Thread-5  ]: Finished running node model.airbyte_utils.user_challenges
2022-06-07 16:04:49 normalization > 16:04:42.935632 [debug] [Thread-5  ]: Began running node model.airbyte_utils.user_training_v2_streaks
2022-06-07 16:04:49 normalization > 16:04:42.936170 [info ] [Thread-5  ]: 76 of 78 START incremental model ggpredict_airbyte.user_training_v2_streaks............................................. [RUN]
2022-06-07 16:04:49 normalization > 16:04:42.936868 [debug] [Thread-5  ]: Acquiring new bigquery connection "model.airbyte_utils.user_training_v2_streaks"
2022-06-07 16:04:49 normalization > 16:04:42.941188 [debug] [Thread-5  ]: Began compiling node model.airbyte_utils.user_training_v2_streaks
2022-06-07 16:04:49 normalization > 16:04:42.942381 [debug] [Thread-5  ]: Compiling model.airbyte_utils.user_training_v2_streaks
2022-06-07 16:04:49 normalization > 16:04:42.956390 [debug] [Thread-5  ]: Writing injected SQL for node "model.airbyte_utils.user_training_v2_streaks"
2022-06-07 16:04:49 normalization > 16:04:42.961250 [debug] [Thread-5  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:42.962922 [debug] [Thread-5  ]: Began executing node model.airbyte_utils.user_training_v2_streaks
2022-06-07 16:04:49 normalization > 16:04:42.967166 [debug] [Thread-5  ]: Opening a new connection, currently in state closed
2022-06-07 16:04:49 normalization > 16:04:42.987684 [debug] [Thread-4  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:42.988914 [info ] [Thread-4  ]: 67 of 78 OK created incremental model ggpredict_airbyte.coach_matches................................................... [CREATE TABLE (0.0 rows, 0 processed) in 2.55s]
2022-06-07 16:04:49 normalization > 16:04:42.989607 [debug] [Thread-4  ]: Finished running node model.airbyte_utils.coach_matches
2022-06-07 16:04:49 normalization > 16:04:42.989997 [debug] [Thread-4  ]: Began running node model.airbyte_utils.users
2022-06-07 16:04:49 normalization > 16:04:42.990539 [info ] [Thread-4  ]: 77 of 78 START incremental model ggpredict_airbyte.users................................................................ [RUN]
2022-06-07 16:04:49 normalization > 16:04:42.991346 [debug] [Thread-4  ]: Acquiring new bigquery connection "model.airbyte_utils.users"
2022-06-07 16:04:49 normalization > 16:04:42.991651 [debug] [Thread-4  ]: Began compiling node model.airbyte_utils.users
2022-06-07 16:04:49 normalization > 16:04:42.991912 [debug] [Thread-4  ]: Compiling model.airbyte_utils.users
2022-06-07 16:04:49 normalization > 16:04:43.005179 [debug] [Thread-4  ]: Writing injected SQL for node "model.airbyte_utils.users"
2022-06-07 16:04:49 normalization > 16:04:43.008281 [debug] [Thread-3  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:43.011003 [info ] [Thread-3  ]: 70 of 78 OK created incremental model ggpredict_airbyte.user_matches.................................................... [CREATE TABLE (0.0 rows, 0 processed) in 2.19s]
2022-06-07 16:04:49 normalization > 16:04:43.012355 [debug] [Thread-3  ]: Finished running node model.airbyte_utils.user_matches
2022-06-07 16:04:49 normalization > 16:04:43.012952 [debug] [Thread-3  ]: Began running node model.airbyte_utils.user_training_v2_unit_tags
2022-06-07 16:04:49 normalization > 16:04:43.013465 [debug] [Thread-4  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:43.014244 [info ] [Thread-3  ]: 78 of 78 START incremental model ggpredict_airbyte.user_training_v2_unit_tags........................................... [RUN]
2022-06-07 16:04:49 normalization > 16:04:43.016718 [debug] [Thread-4  ]: Began executing node model.airbyte_utils.users
2022-06-07 16:04:49 normalization > 16:04:43.022347 [debug] [Thread-3  ]: Acquiring new bigquery connection "model.airbyte_utils.user_training_v2_unit_tags"
2022-06-07 16:04:49 normalization > 16:04:43.032618 [debug] [Thread-4  ]: Opening a new connection, currently in state closed
2022-06-07 16:04:49 normalization > 16:04:43.037546 [debug] [Thread-3  ]: Began compiling node model.airbyte_utils.user_training_v2_unit_tags
2022-06-07 16:04:49 normalization > 16:04:43.043766 [debug] [Thread-3  ]: Compiling model.airbyte_utils.user_training_v2_unit_tags
2022-06-07 16:04:49 normalization > 16:04:43.060352 [debug] [Thread-3  ]: Writing injected SQL for node "model.airbyte_utils.user_training_v2_unit_tags"
2022-06-07 16:04:49 normalization > 16:04:43.063761 [debug] [Thread-3  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:43.066872 [debug] [Thread-3  ]: Began executing node model.airbyte_utils.user_training_v2_unit_tags
2022-06-07 16:04:49 normalization > 16:04:43.078961 [debug] [Thread-3  ]: Opening a new connection, currently in state closed
2022-06-07 16:04:49 normalization > 16:04:43.116246 [debug] [Thread-2  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:43.117563 [info ] [Thread-2  ]: 71 of 78 OK created incremental model ggpredict_airbyte.user_server_weapon_stats........................................ [CREATE TABLE (0.0 rows, 0 processed) in 2.19s]
2022-06-07 16:04:49 normalization > 16:04:43.119224 [debug] [Thread-2  ]: Finished running node model.airbyte_utils.user_server_weapon_stats
2022-06-07 16:04:49 normalization > 16:04:43.124908 [debug] [Thread-7  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:43.126002 [info ] [Thread-7  ]: 74 of 78 OK created incremental model ggpredict_airbyte.user_training_v2_level_segments................................. [CREATE TABLE (0.0 rows, 0 processed) in 2.06s]
2022-06-07 16:04:49 normalization > 16:04:43.126843 [debug] [Thread-7  ]: Finished running node model.airbyte_utils.user_training_v2_level_segments
2022-06-07 16:04:49 normalization > 16:04:43.162484 [debug] [Thread-1  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:43.163535 [info ] [Thread-1  ]: 72 of 78 OK created incremental model ggpredict_airbyte.user_training_v2_level_segment_unit_stats....................... [CREATE TABLE (0.0 rows, 0 processed) in 2.23s]
2022-06-07 16:04:49 normalization > 16:04:43.164507 [debug] [Thread-1  ]: Finished running node model.airbyte_utils.user_training_v2_level_segment_unit_stats
2022-06-07 16:04:49 normalization > 16:04:43.198453 [debug] [Thread-5  ]: BigQuery adapter: get_columns_in_relation error: 404 GET https://bigquery.googleapis.com/bigquery/v2/projects/segment-351212/datasets/ggpredict_airbyte/tables/user_training_v2_streaks?prettyPrint=false: Not found: Table segment-351212:ggpredict_airbyte.user_training_v2_streaks
2022-06-07 16:04:49 normalization > 16:04:43.200868 [info ] [Thread-5  ]: 16:04:43 + `segment-351212`.ggpredict_airbyte.`user_training_v2_streaks`._airbyte_ab_id does not exist yet. The table will be created or rebuilt with dbt.full_refresh
2022-06-07 16:04:49 normalization > 16:04:43.210025 [debug] [Thread-5  ]: Writing runtime SQL for node "model.airbyte_utils.user_training_v2_streaks"
2022-06-07 16:04:49 normalization > 16:04:43.210827 [debug] [Thread-5  ]: On model.airbyte_utils.user_training_v2_streaks: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.user_training_v2_streaks"} */
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >   create or replace table `segment-351212`.ggpredict_airbyte.`user_training_v2_streaks`
2022-06-07 16:04:49 normalization >   partition by timestamp_trunc(_airbyte_emitted_at, day)
2022-06-07 16:04:49 normalization >   cluster by _airbyte_unique_key, _airbyte_emitted_at
2022-06-07 16:04:49 normalization >   OPTIONS()
2022-06-07 16:04:49 normalization >   as (
2022-06-07 16:04:49 normalization >     
2022-06-07 16:04:49 normalization > -- Final base SQL model
2022-06-07 16:04:49 normalization > -- depends_on: `segment-351212`.ggpredict_airbyte.`user_training_v2_streaks_scd`
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     _airbyte_unique_key,
2022-06-07 16:04:49 normalization >     id,
2022-06-07 16:04:49 normalization >     value,
2022-06-07 16:04:49 normalization >     last_update,
2022-06-07 16:04:49 normalization >     _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >     _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >     _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >     _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >     user_training_v2_id,
2022-06-07 16:04:49 normalization >     _airbyte_ab_id,
2022-06-07 16:04:49 normalization >     _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at,
2022-06-07 16:04:49 normalization >     _airbyte_user_training_v2_streaks_hashid
2022-06-07 16:04:49 normalization > from `segment-351212`.ggpredict_airbyte.`user_training_v2_streaks_scd`
2022-06-07 16:04:49 normalization > -- user_training_v2_streaks from `segment-351212`.ggpredict_airbyte._airbyte_raw_user_training_v2_streaks
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > and _airbyte_active_row = 1
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >   );
2022-06-07 16:04:49 normalization >   
2022-06-07 16:04:49 normalization > 16:04:43.264477 [debug] [Thread-4  ]: BigQuery adapter: get_columns_in_relation error: 404 GET https://bigquery.googleapis.com/bigquery/v2/projects/segment-351212/datasets/ggpredict_airbyte/tables/users?prettyPrint=false: Not found: Table segment-351212:ggpredict_airbyte.users
2022-06-07 16:04:49 normalization > 16:04:43.272540 [info ] [Thread-4  ]: 16:04:43 + `segment-351212`.ggpredict_airbyte.`users`._airbyte_ab_id does not exist yet. The table will be created or rebuilt with dbt.full_refresh
2022-06-07 16:04:49 normalization > 16:04:43.276738 [debug] [Thread-4  ]: Writing runtime SQL for node "model.airbyte_utils.users"
2022-06-07 16:04:49 normalization > 16:04:43.277169 [debug] [Thread-4  ]: On model.airbyte_utils.users: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.users"} */
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >   create or replace table `segment-351212`.ggpredict_airbyte.`users`
2022-06-07 16:04:49 normalization >   partition by timestamp_trunc(_airbyte_emitted_at, day)
2022-06-07 16:04:49 normalization >   cluster by _airbyte_unique_key, _airbyte_emitted_at
2022-06-07 16:04:49 normalization >   OPTIONS()
2022-06-07 16:04:49 normalization >   as (
2022-06-07 16:04:49 normalization >     
2022-06-07 16:04:49 normalization > -- Final base SQL model
2022-06-07 16:04:49 normalization > -- depends_on: `segment-351212`.ggpredict_airbyte.`users_scd`
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     _airbyte_unique_key,
2022-06-07 16:04:49 normalization >     id,
2022-06-07 16:04:49 normalization >     cid,
2022-06-07 16:04:49 normalization >     login,
2022-06-07 16:04:49 normalization >     deleted,
2022-06-07 16:04:49 normalization >     platform,
2022-06-07 16:04:49 normalization >     steam_id,
2022-06-07 16:04:49 normalization >     social_id,
2022-06-07 16:04:49 normalization >     xsolla_id,
2022-06-07 16:04:49 normalization >     steam_rank,
2022-06-07 16:04:49 normalization >     esportal_id,
2022-06-07 16:04:49 normalization >     faceit_rank,
2022-06-07 16:04:49 normalization >     deleted_date,
2022-06-07 16:04:49 normalization >     faceit_login,
2022-06-07 16:04:49 normalization >     mailchimp_id,
2022-06-07 16:04:49 normalization >     esportal_rank,
2022-06-07 16:04:49 normalization >     private_steam,
2022-06-07 16:04:49 normalization >     registered_at,
2022-06-07 16:04:49 normalization >     private_faceit,
2022-06-07 16:04:49 normalization >     private_upload,
2022-06-07 16:04:49 normalization >     _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >     faceit_steam_id,
2022-06-07 16:04:49 normalization >     is_trial_active,
2022-06-07 16:04:49 normalization >     private_account,
2022-06-07 16:04:49 normalization >     _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >     faceit_player_id,
2022-06-07 16:04:49 normalization >     private_esportal,
2022-06-07 16:04:49 normalization >     esportal_steam_id,
2022-06-07 16:04:49 normalization >     esportal_username,
2022-06-07 16:04:49 normalization >     _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >     _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >     affiliation_program,
2022-06-07 16:04:49 normalization >     pro_status_valid_date,
2022-06-07 16:04:49 normalization >     last_session_timestamp,
2022-06-07 16:04:49 normalization >     faceit_last_known_match,
2022-06-07 16:04:49 normalization >     esportal_last_known_match,
2022-06-07 16:04:49 normalization >     steam_authentication_code,
2022-06-07 16:04:49 normalization >     steam_last_known_match_share_token,
2022-06-07 16:04:49 normalization >     _airbyte_ab_id,
2022-06-07 16:04:49 normalization >     _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at,
2022-06-07 16:04:49 normalization >     _airbyte_users_hashid
2022-06-07 16:04:49 normalization > from `segment-351212`.ggpredict_airbyte.`users_scd`
2022-06-07 16:04:49 normalization > -- users from `segment-351212`.ggpredict_airbyte._airbyte_raw_users
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > and _airbyte_active_row = 1
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >   );
2022-06-07 16:04:49 normalization >   
2022-06-07 16:04:49 normalization > 16:04:43.284134 [debug] [Thread-3  ]: BigQuery adapter: get_columns_in_relation error: 404 GET https://bigquery.googleapis.com/bigquery/v2/projects/segment-351212/datasets/ggpredict_airbyte/tables/user_training_v2_unit_tags?prettyPrint=false: Not found: Table segment-351212:ggpredict_airbyte.user_training_v2_unit_tags
2022-06-07 16:04:49 normalization > 16:04:43.286752 [info ] [Thread-3  ]: 16:04:43 + `segment-351212`.ggpredict_airbyte.`user_training_v2_unit_tags`._airbyte_ab_id does not exist yet. The table will be created or rebuilt with dbt.full_refresh
2022-06-07 16:04:49 normalization > 16:04:43.294780 [debug] [Thread-3  ]: Writing runtime SQL for node "model.airbyte_utils.user_training_v2_unit_tags"
2022-06-07 16:04:49 normalization > 16:04:43.295161 [debug] [Thread-3  ]: On model.airbyte_utils.user_training_v2_unit_tags: /* {"app": "dbt", "dbt_version": "1.0.0", "profile_name": "normalize", "target_name": "prod", "node_id": "model.airbyte_utils.user_training_v2_unit_tags"} */
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >   create or replace table `segment-351212`.ggpredict_airbyte.`user_training_v2_unit_tags`
2022-06-07 16:04:49 normalization >   partition by timestamp_trunc(_airbyte_emitted_at, day)
2022-06-07 16:04:49 normalization >   cluster by _airbyte_unique_key, _airbyte_emitted_at
2022-06-07 16:04:49 normalization >   OPTIONS()
2022-06-07 16:04:49 normalization >   as (
2022-06-07 16:04:49 normalization >     
2022-06-07 16:04:49 normalization > -- Final base SQL model
2022-06-07 16:04:49 normalization > -- depends_on: `segment-351212`.ggpredict_airbyte.`user_training_v2_unit_tags_scd`
2022-06-07 16:04:49 normalization > select
2022-06-07 16:04:49 normalization >     _airbyte_unique_key,
2022-06-07 16:04:49 normalization >     id,
2022-06-07 16:04:49 normalization >     tag,
2022-06-07 16:04:49 normalization >     unit_name,
2022-06-07 16:04:49 normalization >     _ab_cdc_log_pos,
2022-06-07 16:04:49 normalization >     _ab_cdc_log_file,
2022-06-07 16:04:49 normalization >     _ab_cdc_deleted_at,
2022-06-07 16:04:49 normalization >     _ab_cdc_updated_at,
2022-06-07 16:04:49 normalization >     _airbyte_ab_id,
2022-06-07 16:04:49 normalization >     _airbyte_emitted_at,
2022-06-07 16:04:49 normalization >     CURRENT_TIMESTAMP() as _airbyte_normalized_at,
2022-06-07 16:04:49 normalization >     _airbyte_user_training_v2_unit_tags_hashid
2022-06-07 16:04:49 normalization > from `segment-351212`.ggpredict_airbyte.`user_training_v2_unit_tags_scd`
2022-06-07 16:04:49 normalization > -- user_training_v2_unit_tags from `segment-351212`.ggpredict_airbyte._airbyte_raw_user_training_v2_unit_tags
2022-06-07 16:04:49 normalization > where 1 = 1
2022-06-07 16:04:49 normalization > and _airbyte_active_row = 1
2022-06-07 16:04:49 normalization > 
2022-06-07 16:04:49 normalization >   );
2022-06-07 16:04:49 normalization >   
2022-06-07 16:04:49 normalization > 16:04:43.391761 [debug] [Thread-8  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:43.393026 [info ] [Thread-8  ]: 73 of 78 OK created incremental model ggpredict_airbyte.user_training_v2_level_segment_units............................ [CREATE TABLE (0.0 rows, 0 processed) in 2.33s]
2022-06-07 16:04:49 normalization > 16:04:43.393937 [debug] [Thread-8  ]: Finished running node model.airbyte_utils.user_training_v2_level_segment_units
2022-06-07 16:04:49 normalization > 16:04:45.032583 [debug] [Thread-5  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:45.033545 [info ] [Thread-5  ]: 76 of 78 OK created incremental model ggpredict_airbyte.user_training_v2_streaks........................................ [CREATE TABLE (0.0 rows, 0 processed) in 2.10s]
2022-06-07 16:04:49 normalization > 16:04:45.034264 [debug] [Thread-5  ]: Finished running node model.airbyte_utils.user_training_v2_streaks
2022-06-07 16:04:49 normalization > 16:04:45.053206 [debug] [Thread-4  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:45.055380 [info ] [Thread-4  ]: 77 of 78 OK created incremental model ggpredict_airbyte.users........................................................... [CREATE TABLE (0.0 rows, 0 processed) in 2.06s]
2022-06-07 16:04:49 normalization > 16:04:45.056640 [debug] [Thread-4  ]: Finished running node model.airbyte_utils.users
2022-06-07 16:04:49 normalization > 16:04:45.060172 [debug] [Thread-6  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:45.061877 [info ] [Thread-6  ]: 75 of 78 OK created incremental model ggpredict_airbyte.user_training_v2_levels......................................... [CREATE TABLE (0.0 rows, 0 processed) in 2.35s]
2022-06-07 16:04:49 normalization > 16:04:45.062819 [debug] [Thread-6  ]: Finished running node model.airbyte_utils.user_training_v2_levels
2022-06-07 16:04:49 normalization > 16:04:45.404518 [debug] [Thread-3  ]: finished collecting timing info
2022-06-07 16:04:49 normalization > 16:04:45.405875 [info ] [Thread-3  ]: 78 of 78 OK created incremental model ggpredict_airbyte.user_training_v2_unit_tags...................................... [CREATE TABLE (0.0 rows, 0 processed) in 2.38s]
2022-06-07 16:04:49 normalization > 16:04:45.406918 [debug] [Thread-3  ]: Finished running node model.airbyte_utils.user_training_v2_unit_tags
2022-06-07 16:04:49 normalization > 16:04:45.411097 [debug] [MainThread]: Acquiring new bigquery connection "master"
2022-06-07 16:04:49 normalization > 16:04:45.413041 [info ] [MainThread]: 
2022-06-07 16:04:49 normalization > 16:04:45.413837 [info ] [MainThread]: Finished running 26 view models, 52 incremental models in 26.09s.
2022-06-07 16:04:49 normalization > 16:04:45.414738 [debug] [MainThread]: Connection 'master' was properly closed.
2022-06-07 16:04:49 normalization > 16:04:45.415251 [debug] [MainThread]: Connection 'model.airbyte_utils.user_server_weapon_stats' was properly closed.
2022-06-07 16:04:49 normalization > 16:04:45.415637 [debug] [MainThread]: Connection 'model.airbyte_utils.user_training_v2_level_segment_unit_stats' was properly closed.
2022-06-07 16:04:49 normalization > 16:04:45.415994 [debug] [MainThread]: Connection 'model.airbyte_utils.user_training_v2_unit_tags' was properly closed.
2022-06-07 16:04:49 normalization > 16:04:45.416337 [debug] [MainThread]: Connection 'model.airbyte_utils.users' was properly closed.
2022-06-07 16:04:49 normalization > 16:04:45.416677 [debug] [MainThread]: Connection 'model.airbyte_utils.user_training_v2_streaks' was properly closed.
2022-06-07 16:04:49 normalization > 16:04:45.417054 [debug] [MainThread]: Connection 'model.airbyte_utils.user_training_v2_levels' was properly closed.
2022-06-07 16:04:49 normalization > 16:04:45.417398 [debug] [MainThread]: Connection 'model.airbyte_utils.user_training_v2_level_segments' was properly closed.
2022-06-07 16:04:49 normalization > 16:04:45.417739 [debug] [MainThread]: Connection 'model.airbyte_utils.user_training_v2_level_segment_units' was properly closed.
2022-06-07 16:04:49 normalization > 16:04:45.452245 [info ] [MainThread]: 
2022-06-07 16:04:49 normalization > 16:04:45.452655 [info ] [MainThread]: Completed with 4 errors and 0 warnings:
2022-06-07 16:04:49 normalization > 16:04:45.453177 [info ] [MainThread]: 
2022-06-07 16:04:49 normalization > 16:04:45.453547 [error] [MainThread]: Runtime Error in model challenges_stg (models/generated/airbyte_views/ggpredict_airbyte/challenges_stg.sql)
2022-06-07 16:04:49 normalization > 16:04:45.453966 [error] [MainThread]:   404 Not found: Table segment-351212:ggpredict_airbyte._airbyte_raw_challenges was not found in location europe-central2
2022-06-07 16:04:49 normalization > 16:04:45.454326 [error] [MainThread]:   
2022-06-07 16:04:49 normalization > 16:04:45.454676 [error] [MainThread]:   (job ID: 12aeb632-be7f-48c1-b37c-69693b60e819)
2022-06-07 16:04:49 normalization > 16:04:45.455037 [info ] [MainThread]: 
2022-06-07 16:04:49 normalization > 16:04:45.455393 [error] [MainThread]: Runtime Error in model coach_match_advanced_stats_v2_stg (models/generated/airbyte_views/ggpredict_airbyte/coach_match_advanced_stats_v2_stg.sql)
2022-06-07 16:04:49 normalization > 16:04:45.455806 [error] [MainThread]:   404 Not found: Table segment-351212:ggpredict_airbyte._airbyte_raw_coach_match_advanced_stats_v2 was not found in location europe-central2
2022-06-07 16:04:49 normalization > 16:04:45.456157 [error] [MainThread]:   
2022-06-07 16:04:49 normalization > 16:04:45.456504 [error] [MainThread]:   (job ID: dd3c55e9-1916-44fc-a19b-f68b404893d5)
2022-06-07 16:04:49 normalization > 16:04:45.456883 [info ] [MainThread]: 
2022-06-07 16:04:49 normalization > 16:04:45.457239 [error] [MainThread]: Runtime Error in model user_server_stats_stg (models/generated/airbyte_views/ggpredict_airbyte/user_server_stats_stg.sql)
2022-06-07 16:04:49 normalization > 16:04:45.457645 [error] [MainThread]:   404 Not found: Table segment-351212:ggpredict_airbyte._airbyte_raw_user_server_stats was not found in location europe-central2
2022-06-07 16:04:49 normalization > 16:04:45.458015 [error] [MainThread]:   
2022-06-07 16:04:49 normalization > 16:04:45.458354 [error] [MainThread]:   (job ID: 7dee8cad-6013-43b1-baed-8bd02f0d77fb)
2022-06-07 16:04:49 normalization > 16:04:45.458702 [info ] [MainThread]: 
2022-06-07 16:04:49 normalization > 16:04:45.459046 [error] [MainThread]: Runtime Error in model coach_match_lineups_stg (models/generated/airbyte_views/ggpredict_airbyte/coach_match_lineups_stg.sql)
2022-06-07 16:04:49 normalization > 16:04:45.459441 [error] [MainThread]:   404 Not found: Table segment-351212:ggpredict_airbyte._airbyte_raw_coach_match_lineups was not found in location europe-central2
2022-06-07 16:04:49 normalization > 16:04:45.459773 [error] [MainThread]:   
2022-06-07 16:04:49 normalization > 16:04:45.460110 [error] [MainThread]:   (job ID: 44f9538b-bda6-4c39-92ad-cea5e411e16c)
2022-06-07 16:04:49 normalization > 16:04:45.460635 [info ] [MainThread]: 
2022-06-07 16:04:49 normalization > 16:04:45.460957 [info ] [MainThread]: Done. PASS=66 WARN=0 ERROR=4 SKIP=8 TOTAL=78
2022-06-07 16:04:51 INFO i.a.w.t.TemporalAttemptExecution(lambda$getWorkerThread$2):161 - Completing future exceptionally...
io.airbyte.workers.exception.WorkerException: Normalization Failed.
	at io.airbyte.workers.general.DefaultNormalizationWorker.run(DefaultNormalizationWorker.java:63) ~[io.airbyte-airbyte-workers-0.39.10-alpha.jar:?]
	at io.airbyte.workers.general.DefaultNormalizationWorker.run(DefaultNormalizationWorker.java:21) ~[io.airbyte-airbyte-workers-0.39.10-alpha.jar:?]
	at io.airbyte.workers.temporal.TemporalAttemptExecution.lambda$getWorkerThread$2(TemporalAttemptExecution.java:158) ~[io.airbyte-airbyte-workers-0.39.10-alpha.jar:?]
	at java.lang.Thread.run(Thread.java:833) [?:?]
Caused by: io.airbyte.workers.exception.WorkerException: Normalization Failed.
	at io.airbyte.workers.general.DefaultNormalizationWorker.run(DefaultNormalizationWorker.java:60) ~[io.airbyte-airbyte-workers-0.39.10-alpha.jar:?]
	... 3 more
	Suppressed: io.airbyte.workers.exception.WorkerException: Normalization process wasn't successful
		at io.airbyte.workers.normalization.DefaultNormalizationRunner.close(DefaultNormalizationRunner.java:162) ~[io.airbyte-airbyte-workers-0.39.10-alpha.jar:?]
		at io.airbyte.workers.general.DefaultNormalizationWorker.run(DefaultNormalizationWorker.java:48) ~[io.airbyte-airbyte-workers-0.39.10-alpha.jar:?]
		at io.airbyte.workers.general.DefaultNormalizationWorker.run(DefaultNormalizationWorker.java:21) ~[io.airbyte-airbyte-workers-0.39.10-alpha.jar:?]
		at io.airbyte.workers.temporal.TemporalAttemptExecution.lambda$getWorkerThread$2(TemporalAttemptExecution.java:158) ~[io.airbyte-airbyte-workers-0.39.10-alpha.jar:?]
		at java.lang.Thread.run(Thread.java:833) [?:?]
2022-06-07 16:04:51 INFO i.a.w.t.TemporalAttemptExecution(get):134 - Stopping cancellation check scheduling...
2022-06-07 16:04:51 INFO i.a.w.t.TemporalUtils(withBackgroundHeartbeat):236 - Stopping temporal heartbeating...
2022-06-07 16:04:51 WARN i.t.i.a.POJOActivityTaskHandler(activityFailureToResult):307 - Activity failure. ActivityId=500ded01-6b41-31bb-9f12-57a436cc8fdf, activityType=Normalize, attempt=1
java.lang.RuntimeException: io.temporal.serviceclient.CheckedExceptionWrapper: java.util.concurrent.ExecutionException: io.airbyte.workers.exception.WorkerException: Normalization Failed.
	at io.airbyte.workers.temporal.TemporalUtils.withBackgroundHeartbeat(TemporalUtils.java:234) ~[io.airbyte-airbyte-workers-0.39.10-alpha.jar:?]
	at io.airbyte.workers.temporal.sync.NormalizationActivityImpl.normalize(NormalizationActivityImpl.java:75) ~[io.airbyte-airbyte-workers-0.39.10-alpha.jar:?]
	at jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method) ~[?:?]
	at jdk.internal.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:77) ~[?:?]
	at jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) ~[?:?]
	at java.lang.reflect.Method.invoke(Method.java:568) ~[?:?]
	at io.temporal.internal.activity.POJOActivityTaskHandler$POJOActivityInboundCallsInterceptor.execute(POJOActivityTaskHandler.java:214) ~[temporal-sdk-1.8.1.jar:?]
	at io.temporal.internal.activity.POJOActivityTaskHandler$POJOActivityImplementation.execute(POJOActivityTaskHandler.java:180) ~[temporal-sdk-1.8.1.jar:?]
	at io.temporal.internal.activity.POJOActivityTaskHandler.handle(POJOActivityTaskHandler.java:120) ~[temporal-sdk-1.8.1.jar:?]
	at io.temporal.internal.worker.ActivityWorker$TaskHandlerImpl.handle(ActivityWorker.java:204) ~[temporal-sdk-1.8.1.jar:?]
	at io.temporal.internal.worker.ActivityWorker$TaskHandlerImpl.handle(ActivityWorker.java:164) ~[temporal-sdk-1.8.1.jar:?]
	at io.temporal.internal.worker.PollTaskExecutor.lambda$process$0(PollTaskExecutor.java:93) ~[temporal-sdk-1.8.1.jar:?]
	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1136) [?:?]
	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:635) [?:?]
	at java.lang.Thread.run(Thread.java:833) [?:?]
Caused by: io.temporal.serviceclient.CheckedExceptionWrapper: java.util.concurrent.ExecutionException: io.airbyte.workers.exception.WorkerException: Normalization Failed.
	at io.temporal.serviceclient.CheckedExceptionWrapper.wrap(CheckedExceptionWrapper.java:56) ~[temporal-serviceclient-1.8.1.jar:?]
	at io.temporal.internal.sync.WorkflowInternal.wrap(WorkflowInternal.java:448) ~[temporal-sdk-1.8.1.jar:?]
	at io.temporal.activity.Activity.wrap(Activity.java:51) ~[temporal-sdk-1.8.1.jar:?]
	at io.airbyte.workers.temporal.TemporalAttemptExecution.get(TemporalAttemptExecution.java:138) ~[io.airbyte-airbyte-workers-0.39.10-alpha.jar:?]
	at io.airbyte.workers.temporal.sync.NormalizationActivityImpl.lambda$normalize$3(NormalizationActivityImpl.java:103) ~[io.airbyte-airbyte-workers-0.39.10-alpha.jar:?]
	at io.airbyte.workers.temporal.TemporalUtils.withBackgroundHeartbeat(TemporalUtils.java:229) ~[io.airbyte-airbyte-workers-0.39.10-alpha.jar:?]
	... 14 more
Caused by: java.util.concurrent.ExecutionException: io.airbyte.workers.exception.WorkerException: Normalization Failed.
	at java.util.concurrent.CompletableFuture.reportGet(CompletableFuture.java:396) ~[?:?]
	at java.util.concurrent.CompletableFuture.get(CompletableFuture.java:2073) ~[?:?]
	at io.airbyte.workers.temporal.TemporalAttemptExecution.get(TemporalAttemptExecution.java:132) ~[io.airbyte-airbyte-workers-0.39.10-alpha.jar:?]
	at io.airbyte.workers.temporal.sync.NormalizationActivityImpl.lambda$normalize$3(NormalizationActivityImpl.java:103) ~[io.airbyte-airbyte-workers-0.39.10-alpha.jar:?]
	at io.airbyte.workers.temporal.TemporalUtils.withBackgroundHeartbeat(TemporalUtils.java:229) ~[io.airbyte-airbyte-workers-0.39.10-alpha.jar:?]
	... 14 more
Caused by: io.airbyte.workers.exception.WorkerException: Normalization Failed.
	at io.airbyte.workers.general.DefaultNormalizationWorker.run(DefaultNormalizationWorker.java:63) ~[io.airbyte-airbyte-workers-0.39.10-alpha.jar:?]
	at io.airbyte.workers.general.DefaultNormalizationWorker.run(DefaultNormalizationWorker.java:21) ~[io.airbyte-airbyte-workers-0.39.10-alpha.jar:?]
	at io.airbyte.workers.temporal.TemporalAttemptExecution.lambda$getWorkerThread$2(TemporalAttemptExecution.java:158) ~[io.airbyte-airbyte-workers-0.39.10-alpha.jar:?]
	... 1 more
Caused by: io.airbyte.workers.exception.WorkerException: Normalization Failed.
	at io.airbyte.workers.general.DefaultNormalizationWorker.run(DefaultNormalizationWorker.java:60) ~[io.airbyte-airbyte-workers-0.39.10-alpha.jar:?]
	at io.airbyte.workers.general.DefaultNormalizationWorker.run(DefaultNormalizationWorker.java:21) ~[io.airbyte-airbyte-workers-0.39.10-alpha.jar:?]
	at io.airbyte.workers.temporal.TemporalAttemptExecution.lambda$getWorkerThread$2(TemporalAttemptExecution.java:158) ~[io.airbyte-airbyte-workers-0.39.10-alpha.jar:?]
	... 1 more
	Suppressed: io.airbyte.workers.exception.WorkerException: Normalization process wasn't successful
		at io.airbyte.workers.normalization.DefaultNormalizationRunner.close(DefaultNormalizationRunner.java:162) ~[io.airbyte-airbyte-workers-0.39.10-alpha.jar:?]
		at io.airbyte.workers.general.DefaultNormalizationWorker.run(DefaultNormalizationWorker.java:48) ~[io.airbyte-airbyte-workers-0.39.10-alpha.jar:?]
		at io.airbyte.workers.general.DefaultNormalizationWorker.run(DefaultNormalizationWorker.java:21) ~[io.airbyte-airbyte-workers-0.39.10-alpha.jar:?]
		at io.airbyte.workers.temporal.TemporalAttemptExecution.lambda$getWorkerThread$2(TemporalAttemptExecution.java:158) ~[io.airbyte-airbyte-workers-0.39.10-alpha.jar:?]
		at java.lang.Thread.run(Thread.java:833) [?:?]
2022-06-07 16:04:52 INFO i.a.v.j.JsonSchemaValidator(test):71 - JSON schema validation failed. 
errors: $.tunnel_method: must be a constant value NO_TUNNEL
2022-06-07 16:04:52 INFO i.a.v.j.JsonSchemaValidator(test):71 - JSON schema validation failed. 
errors: $.ssh_key: object found, string expected
2022-06-07 16:04:52 INFO i.a.v.j.JsonSchemaValidator(test):71 - JSON schema validation failed. 
errors: $.tunnel_user_password: is missing but it is required, $.tunnel_method: must be a constant value SSH_PASSWORD_AUTH
2022-06-07 16:04:53 INFO i.a.w.t.TemporalAttemptExecution(get):108 - Docker volume job log path: /tmp/workspace/18/1/logs.log
2022-06-07 16:04:53 INFO i.a.w.t.TemporalAttemptExecution(get):113 - Executing worker wrapper. Airbyte version: 0.39.10-alpha
2022-06-07 16:04:53 INFO i.a.c.i.LineGobbler(voidCall):82 - Checking if airbyte/source-mysql:0.5.11 exists...
2022-06-07 16:04:53 INFO i.a.c.i.LineGobbler(voidCall):82 - airbyte/source-mysql:0.5.11 was found locally.
2022-06-07 16:04:53 INFO i.a.w.p.DockerProcessFactory(create):108 - Creating docker job ID: 18
2022-06-07 16:04:53 INFO i.a.w.p.DockerProcessFactory(create):163 - Preparing command: docker run --rm --init -i -w /data/18/1 --log-driver none --name source-mysql-check-18-1-jvplc --network host -v airbyte_workspace:/data -v /tmp/airbyte_local:/local -e WORKER_JOB_ATTEMPT=1 -e WORKER_CONNECTOR_IMAGE=airbyte/source-mysql:0.5.11 -e AIRBYTE_ROLE= -e WORKER_ENVIRONMENT=DOCKER -e AIRBYTE_VERSION=0.39.10-alpha -e WORKER_JOB_ID=18 airbyte/source-mysql:0.5.11 check --config source_config.json
2022-06-07 16:04:55 ERROR i.a.c.i.LineGobbler(voidCall):82 - SLF4J: Class path contains multiple SLF4J bindings.
2022-06-07 16:04:55 ERROR i.a.c.i.LineGobbler(voidCall):82 - SLF4J: Found binding in [jar:file:/airbyte/lib/log4j-slf4j-impl-2.17.1.jar!/org/slf4j/impl/StaticLoggerBinder.class]
2022-06-07 16:04:55 ERROR i.a.c.i.LineGobbler(voidCall):82 - SLF4J: Found binding in [jar:file:/airbyte/lib/slf4j-log4j12-1.7.30.jar!/org/slf4j/impl/StaticLoggerBinder.class]
2022-06-07 16:04:55 ERROR i.a.c.i.LineGobbler(voidCall):82 - SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation.
2022-06-07 16:04:55 ERROR i.a.c.i.LineGobbler(voidCall):82 - SLF4J: Actual binding is of type [org.apache.logging.slf4j.Log4jLoggerFactory]
2022-06-07 16:04:56 INFO i.a.w.i.DefaultAirbyteStreamFactory(lambda$create$0):61 - 2022-06-07 16:04:56 INFO i.a.i.s.m.MySqlSource(main):210 - starting source: class io.airbyte.integrations.source.mysql.MySqlSource
2022-06-07 16:04:56 INFO i.a.w.i.DefaultAirbyteStreamFactory(lambda$create$0):61 - 2022-06-07 16:04:56 INFO i.a.i.b.IntegrationCliParser(parseOptions):118 - integration args: {check=null, config=source_config.json}
2022-06-07 16:04:56 INFO i.a.w.i.DefaultAirbyteStreamFactory(lambda$create$0):61 - 2022-06-07 16:04:56 INFO i.a.i.b.IntegrationRunner(runInternal):121 - Running integration: io.airbyte.integrations.base.ssh.SshWrappedSource
2022-06-07 16:04:56 INFO i.a.w.i.DefaultAirbyteStreamFactory(lambda$create$0):61 - 2022-06-07 16:04:56 INFO i.a.i.b.IntegrationRunner(runInternal):122 - Command: CHECK
2022-06-07 16:04:56 INFO i.a.w.i.DefaultAirbyteStreamFactory(lambda$create$0):61 - 2022-06-07 16:04:56 INFO i.a.i.b.IntegrationRunner(runInternal):123 - Integration config: IntegrationConfig{command=CHECK, configPath='source_config.json', catalogPath='null', statePath='null'}
2022-06-07 16:04:56 INFO i.a.w.i.DefaultAirbyteStreamFactory(lambda$create$0):61 - 2022-06-07 16:04:56 WARN c.n.s.JsonMetaSchema(newValidator):338 - Unknown keyword order - you should define your own Meta Schema. If the keyword is irrelevant for validation, just use a NonValidationKeyword
2022-06-07 16:04:56 INFO i.a.w.i.DefaultAirbyteStreamFactory(lambda$create$0):61 - 2022-06-07 16:04:56 WARN c.n.s.JsonMetaSchema(newValidator):338 - Unknown keyword examples - you should define your own Meta Schema. If the keyword is irrelevant for validation, just use a NonValidationKeyword
2022-06-07 16:04:56 INFO i.a.w.i.DefaultAirbyteStreamFactory(lambda$create$0):61 - 2022-06-07 16:04:56 WARN c.n.s.JsonMetaSchema(newValidator):338 - Unknown keyword airbyte_secret - you should define your own Meta Schema. If the keyword is irrelevant for validation, just use a NonValidationKeyword
2022-06-07 16:04:56 INFO i.a.w.i.DefaultAirbyteStreamFactory(lambda$create$0):61 - 2022-06-07 16:04:56 WARN c.n.s.JsonMetaSchema(newValidator):338 - Unknown keyword multiline - you should define your own Meta Schema. If the keyword is irrelevant for validation, just use a NonValidationKeyword
2022-06-07 16:04:56 INFO i.a.w.i.DefaultAirbyteStreamFactory(lambda$create$0):61 - 2022-06-07 16:04:56 INFO i.a.i.b.s.SshTunnel(getInstance):170 - Starting connection with method: SSH_KEY_AUTH
2022-06-07 16:04:57 INFO i.a.w.i.DefaultAirbyteStreamFactory(lambda$create$0):61 - 2022-06-07 16:04:57 WARN o.a.s.c.k.StaticServerKeyVerifier(handleAcceptance):59 - Server at /91.185.184.31:22 presented unverified EC key: SHA256:W+ZPavPjrpAmhKKw7B61BEkTfTy/kYCJNypzhjMI5K0
2022-06-07 16:04:57 INFO i.a.w.i.DefaultAirbyteStreamFactory(lambda$create$0):61 - 2022-06-07 16:04:57 INFO i.a.i.b.s.SshTunnel(openTunnel):287 - Established tunneling session.  Port forwarding started on /127.0.0.1:38917
2022-06-07 16:04:57 INFO i.a.w.i.DefaultAirbyteStreamFactory(lambda$create$0):61 - 2022-06-07 16:04:57 WARN o.a.s.c.u.l.LoggingUtils(warn):626 - globalRequest(ClientConnectionService[ClientSessionImpl[kacper-wozniak@/91.185.184.31:22]])[hostkeys-00@openssh.com, want-reply=false] failed (SshException) to process: EdDSA provider not supported
2022-06-07 16:04:57 INFO i.a.w.i.DefaultAirbyteStreamFactory(lambda$create$0):61 - 2022-06-07 16:04:57 INFO i.a.i.s.j.AbstractJdbcSource(lambda$getCheckOperations$1):89 - Attempting to get metadata from the database to see if we can connect.
2022-06-07 16:04:59 INFO i.a.w.t.TemporalAttemptExecution(get):134 - Stopping cancellation check scheduling...
2022-06-07 16:04:59 INFO i.a.w.t.TemporalAttemptExecution(get):108 - Docker volume job log path: /tmp/workspace/18/1/logs.log
2022-06-07 16:04:59 INFO i.a.w.t.TemporalAttemptExecution(get):113 - Executing worker wrapper. Airbyte version: 0.39.10-alpha
2022-06-07 16:04:59 INFO i.a.c.i.LineGobbler(voidCall):82 - Checking if airbyte/destination-bigquery:1.1.6 exists...
2022-06-07 16:04:59 INFO i.a.c.i.LineGobbler(voidCall):82 - airbyte/destination-bigquery:1.1.6 was found locally.
2022-06-07 16:04:59 INFO i.a.w.p.DockerProcessFactory(create):108 - Creating docker job ID: 18
2022-06-07 16:04:59 INFO i.a.w.p.DockerProcessFactory(create):163 - Preparing command: docker run --rm --init -i -w /data/18/1 --log-driver none --name destination-bigquery-check-18-1-tgpwu --network host -v airbyte_workspace:/data -v /tmp/airbyte_local:/local -e WORKER_JOB_ATTEMPT=1 -e WORKER_CONNECTOR_IMAGE=airbyte/destination-bigquery:1.1.6 -e AIRBYTE_ROLE= -e WORKER_ENVIRONMENT=DOCKER -e AIRBYTE_VERSION=0.39.10-alpha -e WORKER_JOB_ID=18 airbyte/destination-bigquery:1.1.6 check --config source_config.json
2022-06-07 16:05:02 ERROR i.a.c.i.LineGobbler(voidCall):82 - SLF4J: Class path contains multiple SLF4J bindings.
2022-06-07 16:05:02 ERROR i.a.c.i.LineGobbler(voidCall):82 - SLF4J: Found binding in [jar:file:/airbyte/lib/log4j-slf4j-impl-2.17.1.jar!/org/slf4j/impl/StaticLoggerBinder.class]
2022-06-07 16:05:02 ERROR i.a.c.i.LineGobbler(voidCall):82 - SLF4J: Found binding in [jar:file:/airbyte/lib/slf4j-log4j12-1.7.25.jar!/org/slf4j/impl/StaticLoggerBinder.class]
2022-06-07 16:05:02 ERROR i.a.c.i.LineGobbler(voidCall):82 - SLF4J: Found binding in [jar:file:/airbyte/lib/logback-classic-1.2.3.jar!/org/slf4j/impl/StaticLoggerBinder.class]
2022-06-07 16:05:02 ERROR i.a.c.i.LineGobbler(voidCall):82 - SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation.
2022-06-07 16:05:02 ERROR i.a.c.i.LineGobbler(voidCall):82 - SLF4J: Actual binding is of type [org.apache.logging.slf4j.Log4jLoggerFactory]
2022-06-07 16:05:02 INFO i.a.w.i.DefaultAirbyteStreamFactory(lambda$create$0):61 - 2022-06-07 16:05:02 INFO i.a.i.b.IntegrationCliParser(parseOptions):118 - integration args: {check=null, config=source_config.json}
2022-06-07 16:05:02 INFO i.a.w.i.DefaultAirbyteStreamFactory(lambda$create$0):61 - 2022-06-07 16:05:02 INFO i.a.i.b.IntegrationRunner(runInternal):123 - Running integration: io.airbyte.integrations.destination.bigquery.BigQueryDestination
2022-06-07 16:05:02 INFO i.a.w.i.DefaultAirbyteStreamFactory(lambda$create$0):61 - 2022-06-07 16:05:02 INFO i.a.i.b.IntegrationRunner(runInternal):124 - Command: CHECK
2022-06-07 16:05:02 INFO i.a.w.i.DefaultAirbyteStreamFactory(lambda$create$0):61 - 2022-06-07 16:05:02 INFO i.a.i.b.IntegrationRunner(runInternal):125 - Integration config: IntegrationConfig{command=CHECK, configPath='source_config.json', catalogPath='null', statePath='null'}
2022-06-07 16:05:02 INFO i.a.w.i.DefaultAirbyteStreamFactory(lambda$create$0):61 - 2022-06-07 16:05:02 WARN c.n.s.JsonMetaSchema(newValidator):338 - Unknown keyword examples - you should define your own Meta Schema. If the keyword is irrelevant for validation, just use a NonValidationKeyword
2022-06-07 16:05:02 INFO i.a.w.i.DefaultAirbyteStreamFactory(lambda$create$0):61 - 2022-06-07 16:05:02 WARN c.n.s.JsonMetaSchema(newValidator):338 - Unknown keyword airbyte_secret - you should define your own Meta Schema. If the keyword is irrelevant for validation, just use a NonValidationKeyword
2022-06-07 16:05:03 INFO i.a.w.i.DefaultAirbyteStreamFactory(lambda$create$0):61 - 2022-06-07 16:05:03 INFO i.a.i.d.b.BigQueryUtils(getLoadingMethod):306 - Selected loading method is set to: STANDARD
2022-06-07 16:05:06 INFO i.a.w.t.TemporalAttemptExecution(get):134 - Stopping cancellation check scheduling...
2022-06-07 16:05:06 INFO i.a.w.t.TemporalAttemptExecution(get):108 - Docker volume job log path: /tmp/workspace/18/1/logs.log
2022-06-07 16:05:06 INFO i.a.w.t.TemporalAttemptExecution(get):113 - Executing worker wrapper. Airbyte version: 0.39.10-alpha
2022-06-07 16:05:06 INFO i.a.w.g.DefaultReplicationWorker(run):115 - start sync worker. job id: 18 attempt id: 1
2022-06-07 16:05:06 INFO i.a.w.g.DefaultReplicationWorker(run):127 - configured sync modes: {ggpredict.challenge_types=incremental - append_dedup, ggpredict.coach_match_advanced_stats=incremental - append_dedup, ggpredict.coach_match_sub_stats=incremental - append_dedup, ggpredict.user_training_v2_levels=incremental - append_dedup, ggpredict.user_challenges=incremental - append_dedup, ggpredict.missplays=incremental - append_dedup, ggpredict.user_training_v2_level_segment_units=incremental - append_dedup, ggpredict.coach_match_lineups=incremental - append_dedup, ggpredict.challenge_maps=incremental - append_dedup, ggpredict.coach_matches=incremental - append_dedup, ggpredict.challenges=incremental - append_dedup, ggpredict.user_server_weapon_stats=incremental - append_dedup, ggpredict.user_server_live_stats=incremental - append_dedup, ggpredict.coach_players=incremental - append_dedup, ggpredict.user_training_v2_unit_tags=incremental - append_dedup, ggpredict.user_training_v2_level_segment_unit_start_sessions=incremental - append_dedup, ggpredict.user_matches=incremental - append_dedup, ggpredict.user_training_v2_level_segments=incremental - append_dedup, ggpredict.coach_match_sub_stats_v2=incremental - append_dedup, ggpredict.users=incremental - append_dedup, ggpredict.user_training_v2_streaks=incremental - append_dedup, ggpredict.user_server_stats=incremental - append_dedup, ggpredict.user_training_v2_level_segment_unit_stats=incremental - append_dedup, ggpredict.challenge_weapons=incremental - append_dedup, ggpredict.coach_match_missplays_in_rounds=incremental - append_dedup, ggpredict.coach_match_advanced_stats_v2=incremental - append_dedup}
2022-06-07 16:05:06 INFO i.a.w.i.DefaultAirbyteDestination(start):69 - Running destination...
2022-06-07 16:05:06 INFO i.a.c.i.LineGobbler(voidCall):82 - Checking if airbyte/destination-bigquery:1.1.6 exists...
2022-06-07 16:05:06 INFO i.a.c.i.LineGobbler(voidCall):82 - airbyte/destination-bigquery:1.1.6 was found locally.
2022-06-07 16:05:06 INFO i.a.w.p.DockerProcessFactory(create):108 - Creating docker job ID: 18
2022-06-07 16:05:06 INFO i.a.w.p.DockerProcessFactory(create):163 - Preparing command: docker run --rm --init -i -w /data/18/1 --log-driver none --name destination-bigquery-write-18-1-zlkwl --network host -v airbyte_workspace:/data -v /tmp/airbyte_local:/local -e WORKER_JOB_ATTEMPT=1 -e WORKER_CONNECTOR_IMAGE=airbyte/destination-bigquery:1.1.6 -e AIRBYTE_ROLE= -e WORKER_ENVIRONMENT=DOCKER -e AIRBYTE_VERSION=0.39.10-alpha -e WORKER_JOB_ID=18 airbyte/destination-bigquery:1.1.6 write --config destination_config.json --catalog destination_catalog.json
2022-06-07 16:05:06 INFO i.a.c.i.LineGobbler(voidCall):82 - Checking if airbyte/source-mysql:0.5.11 exists...
2022-06-07 16:05:06 INFO i.a.c.i.LineGobbler(voidCall):82 - airbyte/source-mysql:0.5.11 was found locally.
2022-06-07 16:05:06 INFO i.a.w.p.DockerProcessFactory(create):108 - Creating docker job ID: 18
2022-06-07 16:05:06 INFO i.a.w.p.DockerProcessFactory(create):163 - Preparing command: docker run --rm --init -i -w /data/18/1 --log-driver none --name source-mysql-read-18-1-bxuqa --network host -v airbyte_workspace:/data -v /tmp/airbyte_local:/local -e WORKER_JOB_ATTEMPT=1 -e WORKER_CONNECTOR_IMAGE=airbyte/source-mysql:0.5.11 -e AIRBYTE_ROLE= -e WORKER_ENVIRONMENT=DOCKER -e AIRBYTE_VERSION=0.39.10-alpha -e WORKER_JOB_ID=18 airbyte/source-mysql:0.5.11 read --config source_config.json --catalog source_catalog.json
2022-06-07 16:05:06 INFO i.a.w.g.DefaultReplicationWorker(run):169 - Waiting for source and destination threads to complete.
2022-06-07 16:05:06 INFO i.a.w.g.DefaultReplicationWorker(lambda$getDestinationOutputRunnable$7):395 - Destination output thread started.
2022-06-07 16:05:06 INFO i.a.w.g.DefaultReplicationWorker(lambda$getReplicationRunnable$6):298 - Replication thread started.
2022-06-07 16:05:11 source > SLF4J: Class path contains multiple SLF4J bindings.
2022-06-07 16:05:11 source > SLF4J: Found binding in [jar:file:/airbyte/lib/log4j-slf4j-impl-2.17.1.jar!/org/slf4j/impl/StaticLoggerBinder.class]
2022-06-07 16:05:11 source > SLF4J: Found binding in [jar:file:/airbyte/lib/slf4j-log4j12-1.7.30.jar!/org/slf4j/impl/StaticLoggerBinder.class]
2022-06-07 16:05:11 source > SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation.
2022-06-07 16:05:11 destination > SLF4J: Class path contains multiple SLF4J bindings.
2022-06-07 16:05:11 destination > SLF4J: Found binding in [jar:file:/airbyte/lib/log4j-slf4j-impl-2.17.1.jar!/org/slf4j/impl/StaticLoggerBinder.class]
2022-06-07 16:05:11 destination > SLF4J: Found binding in [jar:file:/airbyte/lib/slf4j-log4j12-1.7.25.jar!/org/slf4j/impl/StaticLoggerBinder.class]
2022-06-07 16:05:11 destination > SLF4J: Found binding in [jar:file:/airbyte/lib/logback-classic-1.2.3.jar!/org/slf4j/impl/StaticLoggerBinder.class]
2022-06-07 16:05:11 destination > SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation.
2022-06-07 16:05:11 destination > SLF4J: Actual binding is of type [org.apache.logging.slf4j.Log4jLoggerFactory]
2022-06-07 16:05:11 source > SLF4J: Actual binding is of type [org.apache.logging.slf4j.Log4jLoggerFactory]
2022-06-07 16:05:11 source > 2022-06-07 16:05:11 INFO i.a.i.s.m.MySqlSource(main):210 - starting source: class io.airbyte.integrations.source.mysql.MySqlSource
2022-06-07 16:05:12 destination > 2022-06-07 16:05:12 INFO i.a.i.b.IntegrationCliParser(parseOptions):118 - integration args: {catalog=destination_catalog.json, write=null, config=destination_config.json}
2022-06-07 16:05:12 destination > 2022-06-07 16:05:12 INFO i.a.i.b.IntegrationRunner(runInternal):123 - Running integration: io.airbyte.integrations.destination.bigquery.BigQueryDestination
2022-06-07 16:05:12 destination > 2022-06-07 16:05:12 INFO i.a.i.b.IntegrationRunner(runInternal):124 - Command: WRITE
2022-06-07 16:05:12 destination > 2022-06-07 16:05:12 INFO i.a.i.b.IntegrationRunner(runInternal):125 - Integration config: IntegrationConfig{command=WRITE, configPath='destination_config.json', catalogPath='destination_catalog.json', statePath='null'}
2022-06-07 16:05:12 source > 2022-06-07 16:05:12 INFO i.a.i.b.IntegrationCliParser(parseOptions):118 - integration args: {read=null, catalog=source_catalog.json, config=source_config.json}
2022-06-07 16:05:12 source > 2022-06-07 16:05:12 INFO i.a.i.b.IntegrationRunner(runInternal):121 - Running integration: io.airbyte.integrations.base.ssh.SshWrappedSource
2022-06-07 16:05:12 source > 2022-06-07 16:05:12 INFO i.a.i.b.IntegrationRunner(runInternal):122 - Command: READ
2022-06-07 16:05:12 source > 2022-06-07 16:05:12 INFO i.a.i.b.IntegrationRunner(runInternal):123 - Integration config: IntegrationConfig{command=READ, configPath='source_config.json', catalogPath='source_catalog.json', statePath='null'}
2022-06-07 16:05:12 destination > 2022-06-07 16:05:12 WARN c.n.s.JsonMetaSchema(newValidator):338 - Unknown keyword examples - you should define your own Meta Schema. If the keyword is irrelevant for validation, just use a NonValidationKeyword
2022-06-07 16:05:12 destination > 2022-06-07 16:05:12 WARN c.n.s.JsonMetaSchema(newValidator):338 - Unknown keyword airbyte_secret - you should define your own Meta Schema. If the keyword is irrelevant for validation, just use a NonValidationKeyword
2022-06-07 16:05:12 destination > 2022-06-07 16:05:12 INFO i.a.i.d.b.BigQueryUtils(getLoadingMethod):306 - Selected loading method is set to: STANDARD
2022-06-07 16:05:12 destination > 2022-06-07 16:05:12 WARN i.a.i.d.b.BigQueryDestination(getConsumer):194 - The "standard" upload mode is not performant, and is not recommended for production. Please use the GCS upload mode if you are syncing a large amount of data.
2022-06-07 16:05:12 source > 2022-06-07 16:05:12 WARN c.n.s.JsonMetaSchema(newValidator):338 - Unknown keyword order - you should define your own Meta Schema. If the keyword is irrelevant for validation, just use a NonValidationKeyword
2022-06-07 16:05:12 source > 2022-06-07 16:05:12 WARN c.n.s.JsonMetaSchema(newValidator):338 - Unknown keyword examples - you should define your own Meta Schema. If the keyword is irrelevant for validation, just use a NonValidationKeyword
2022-06-07 16:05:12 source > 2022-06-07 16:05:12 WARN c.n.s.JsonMetaSchema(newValidator):338 - Unknown keyword airbyte_secret - you should define your own Meta Schema. If the keyword is irrelevant for validation, just use a NonValidationKeyword
2022-06-07 16:05:12 source > 2022-06-07 16:05:12 WARN c.n.s.JsonMetaSchema(newValidator):338 - Unknown keyword multiline - you should define your own Meta Schema. If the keyword is irrelevant for validation, just use a NonValidationKeyword
2022-06-07 16:05:12 destination > 2022-06-07 16:05:12 INFO i.a.i.d.b.BigQueryUtils(getLoadingMethod):306 - Selected loading method is set to: STANDARD
2022-06-07 16:05:12 source > 2022-06-07 16:05:12 INFO i.a.i.b.s.SshTunnel(getInstance):170 - Starting connection with method: SSH_KEY_AUTH
2022-06-07 16:05:13 source > 2022-06-07 16:05:13 WARN o.a.s.c.k.StaticServerKeyVerifier(handleAcceptance):59 - Server at /91.185.184.31:22 presented unverified EC key: SHA256:W+ZPavPjrpAmhKKw7B61BEkTfTy/kYCJNypzhjMI5K0
2022-06-07 16:05:13 source > 2022-06-07 16:05:13 INFO i.a.i.b.s.SshTunnel(openTunnel):287 - Established tunneling session.  Port forwarding started on /127.0.0.1:42117
2022-06-07 16:05:13 source > 2022-06-07 16:05:13 INFO i.a.i.s.r.CdcStateManager(<init>):26 - Initialized CDC state with: null
2022-06-07 16:05:13 source > 2022-06-07 16:05:13 INFO i.a.i.s.r.StateManager(createCursorInfoForStream):118 - No cursor field set in catalog but not present in state. Stream: AirbyteStreamNameNamespacePair{name='user_training_v2_level_segment_units', namespace='ggpredict'}, New Cursor Field: null. Resetting cursor value
2022-06-07 16:05:13 source > 2022-06-07 16:05:13 INFO i.a.i.s.r.StateManager(createCursorInfoForStream):118 - No cursor field set in catalog but not present in state. Stream: AirbyteStreamNameNamespacePair{name='user_matches', namespace='ggpredict'}, New Cursor Field: null. Resetting cursor value
2022-06-07 16:05:13 source > 2022-06-07 16:05:13 INFO i.a.i.s.r.StateManager(createCursorInfoForStream):118 - No cursor field set in catalog but not present in state. Stream: AirbyteStreamNameNamespacePair{name='challenges', namespace='ggpredict'}, New Cursor Field: null. Resetting cursor value
2022-06-07 16:05:13 source > 2022-06-07 16:05:13 INFO i.a.i.s.r.StateManager(createCursorInfoForStream):118 - No cursor field set in catalog but not present in state. Stream: AirbyteStreamNameNamespacePair{name='user_training_v2_level_segment_unit_start_sessions', namespace='ggpredict'}, New Cursor Field: null. Resetting cursor value
2022-06-07 16:05:13 source > 2022-06-07 16:05:13 INFO i.a.i.s.r.StateManager(createCursorInfoForStream):118 - No cursor field set in catalog but not present in state. Stream: AirbyteStreamNameNamespacePair{name='user_challenges', namespace='ggpredict'}, New Cursor Field: null. Resetting cursor value
2022-06-07 16:05:13 source > 2022-06-07 16:05:13 INFO i.a.i.s.r.StateManager(createCursorInfoForStream):118 - No cursor field set in catalog but not present in state. Stream: AirbyteStreamNameNamespacePair{name='user_training_v2_levels', namespace='ggpredict'}, New Cursor Field: null. Resetting cursor value
2022-06-07 16:05:13 source > 2022-06-07 16:05:13 INFO i.a.i.s.r.StateManager(createCursorInfoForStream):118 - No cursor field set in catalog but not present in state. Stream: AirbyteStreamNameNamespacePair{name='coach_matches', namespace='ggpredict'}, New Cursor Field: null. Resetting cursor value
2022-06-07 16:05:13 source > 2022-06-07 16:05:13 INFO i.a.i.s.r.StateManager(createCursorInfoForStream):118 - No cursor field set in catalog but not present in state. Stream: AirbyteStreamNameNamespacePair{name='user_server_live_stats', namespace='ggpredict'}, New Cursor Field: null. Resetting cursor value
2022-06-07 16:05:13 source > 2022-06-07 16:05:13 INFO i.a.i.s.r.StateManager(createCursorInfoForStream):118 - No cursor field set in catalog but not present in state. Stream: AirbyteStreamNameNamespacePair{name='user_server_weapon_stats', namespace='ggpredict'}, New Cursor Field: null. Resetting cursor value
2022-06-07 16:05:13 source > 2022-06-07 16:05:13 INFO i.a.i.s.r.StateManager(createCursorInfoForStream):118 - No cursor field set in catalog but not present in state. Stream: AirbyteStreamNameNamespacePair{name='coach_match_sub_stats', namespace='ggpredict'}, New Cursor Field: null. Resetting cursor value
2022-06-07 16:05:13 source > 2022-06-07 16:05:13 INFO i.a.i.s.r.StateManager(createCursorInfoForStream):118 - No cursor field set in catalog but not present in state. Stream: AirbyteStreamNameNamespacePair{name='coach_match_lineups', namespace='ggpredict'}, New Cursor Field: null. Resetting cursor value
2022-06-07 16:05:13 source > 2022-06-07 16:05:13 INFO i.a.i.s.r.StateManager(createCursorInfoForStream):118 - No cursor field set in catalog but not present in state. Stream: AirbyteStreamNameNamespacePair{name='user_server_stats', namespace='ggpredict'}, New Cursor Field: null. Resetting cursor value
2022-06-07 16:05:13 source > 2022-06-07 16:05:13 INFO i.a.i.s.r.StateManager(createCursorInfoForStream):118 - No cursor field set in catalog but not present in state. Stream: AirbyteStreamNameNamespacePair{name='challenge_weapons', namespace='ggpredict'}, New Cursor Field: null. Resetting cursor value
2022-06-07 16:05:13 source > 2022-06-07 16:05:13 INFO i.a.i.s.r.StateManager(createCursorInfoForStream):118 - No cursor field set in catalog but not present in state. Stream: AirbyteStreamNameNamespacePair{name='coach_match_advanced_stats_v2', namespace='ggpredict'}, New Cursor Field: null. Resetting cursor value
2022-06-07 16:05:13 source > 2022-06-07 16:05:13 INFO i.a.i.s.r.StateManager(createCursorInfoForStream):118 - No cursor field set in catalog but not present in state. Stream: AirbyteStreamNameNamespacePair{name='missplays', namespace='ggpredict'}, New Cursor Field: null. Resetting cursor value
2022-06-07 16:05:13 source > 2022-06-07 16:05:13 INFO i.a.i.s.r.StateManager(createCursorInfoForStream):118 - No cursor field set in catalog but not present in state. Stream: AirbyteStreamNameNamespacePair{name='user_training_v2_streaks', namespace='ggpredict'}, New Cursor Field: null. Resetting cursor value
2022-06-07 16:05:13 source > 2022-06-07 16:05:13 INFO i.a.i.s.r.StateManager(createCursorInfoForStream):118 - No cursor field set in catalog but not present in state. Stream: AirbyteStreamNameNamespacePair{name='challenge_maps', namespace='ggpredict'}, New Cursor Field: null. Resetting cursor value
2022-06-07 16:05:13 source > 2022-06-07 16:05:13 INFO i.a.i.s.r.StateManager(createCursorInfoForStream):118 - No cursor field set in catalog but not present in state. Stream: AirbyteStreamNameNamespacePair{name='challenge_types', namespace='ggpredict'}, New Cursor Field: null. Resetting cursor value
2022-06-07 16:05:13 source > 2022-06-07 16:05:13 INFO i.a.i.s.r.StateManager(createCursorInfoForStream):118 - No cursor field set in catalog but not present in state. Stream: AirbyteStreamNameNamespacePair{name='coach_match_sub_stats_v2', namespace='ggpredict'}, New Cursor Field: null. Resetting cursor value
2022-06-07 16:05:13 source > 2022-06-07 16:05:13 INFO i.a.i.s.r.StateManager(createCursorInfoForStream):118 - No cursor field set in catalog but not present in state. Stream: AirbyteStreamNameNamespacePair{name='user_training_v2_level_segments', namespace='ggpredict'}, New Cursor Field: null. Resetting cursor value
2022-06-07 16:05:13 source > 2022-06-07 16:05:13 INFO i.a.i.s.r.StateManager(createCursorInfoForStream):118 - No cursor field set in catalog but not present in state. Stream: AirbyteStreamNameNamespacePair{name='coach_match_advanced_stats', namespace='ggpredict'}, New Cursor Field: null. Resetting cursor value
2022-06-07 16:05:13 source > 2022-06-07 16:05:13 INFO i.a.i.s.r.StateManager(createCursorInfoForStream):118 - No cursor field set in catalog but not present in state. Stream: AirbyteStreamNameNamespacePair{name='user_training_v2_unit_tags', namespace='ggpredict'}, New Cursor Field: null. Resetting cursor value
2022-06-07 16:05:13 source > 2022-06-07 16:05:13 INFO i.a.i.s.r.StateManager(createCursorInfoForStream):118 - No cursor field set in catalog but not present in state. Stream: AirbyteStreamNameNamespacePair{name='coach_match_missplays_in_rounds', namespace='ggpredict'}, New Cursor Field: null. Resetting cursor value
2022-06-07 16:05:13 source > 2022-06-07 16:05:13 INFO i.a.i.s.r.StateManager(createCursorInfoForStream):118 - No cursor field set in catalog but not present in state. Stream: AirbyteStreamNameNamespacePair{name='coach_players', namespace='ggpredict'}, New Cursor Field: null. Resetting cursor value
2022-06-07 16:05:13 source > 2022-06-07 16:05:13 INFO i.a.i.s.r.StateManager(createCursorInfoForStream):118 - No cursor field set in catalog but not present in state. Stream: AirbyteStreamNameNamespacePair{name='user_training_v2_level_segment_unit_stats', namespace='ggpredict'}, New Cursor Field: null. Resetting cursor value
2022-06-07 16:05:13 source > 2022-06-07 16:05:13 INFO i.a.i.s.r.StateManager(createCursorInfoForStream):118 - No cursor field set in catalog but not present in state. Stream: AirbyteStreamNameNamespacePair{name='users', namespace='ggpredict'}, New Cursor Field: null. Resetting cursor value
2022-06-07 16:05:13 source > 2022-06-07 16:05:13 WARN o.a.s.c.u.l.LoggingUtils(warn):626 - globalRequest(ClientConnectionService[ClientSessionImpl[kacper-wozniak@/91.185.184.31:22]])[hostkeys-00@openssh.com, want-reply=false] failed (SshException) to process: EdDSA provider not supported
2022-06-07 16:05:14 destination > 2022-06-07 16:05:14 INFO i.a.i.d.b.BigQueryUtils(createPartitionedTable):131 - Partitioned table created successfully: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=ggpredict_airbyte, tableId=_airbyte_tmp_wke_challenge_maps}}
2022-06-07 16:05:15 destination > 2022-06-07 16:05:15 INFO i.a.i.d.b.BigQueryUtils(getLoadingMethod):306 - Selected loading method is set to: STANDARD
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column match_map_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column player_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column round (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column side (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column won (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column kills (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column trade_kills (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column hs_kills (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column clutch_kills (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column deaths (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column traded (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column assists (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column flash_assists (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column opening_kills (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column opening_deaths (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column dmg_dealt (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column own_damage (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column team_players_hurt (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column team_kills (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column self_kills (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column exit_kills (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column deaths_flashed (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column bomb_plants (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column bomb_defused (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column fake_plant (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column fake_defuse (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column got_flashed (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column opponents_flashed (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column kills_to_flashed (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column clutch_plants (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column clutch_defuses (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column kills_after_fake (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column deaths_without_seeing (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column kills_to_not_seeing (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column first_see (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column first_contact (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column death_time (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column opponents_hurt (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column dmg_sources (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column flashed (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column flash_caused (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column distance_covered (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column distance_towards_enemy (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column distance_in_right_dir (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column distance_from_team (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column equipment_value (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column cash_spent (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column cash_earned (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column initial_site (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column site_changes (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column scoped_battles_won (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column scoped_battles_lost (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column first_to_see (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column first_damage (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column had_awp (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column died_unscoped (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column died_knife_nade (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column early_distance (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column aggression (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column positioning (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column rating (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column def_rating (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column off_rating (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column bomb_planted (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column site_planted (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_stats column mvp (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_utility_used column coach_match_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_utility_used column match_platform (type VARCHAR[50]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_utility_used column rounds_played (type BIGINT[19]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_utility_used column match_date (type TIMESTAMP[19]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_utility_used column coach_player_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_utility_used column player_rank (type VARCHAR[20]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_utility_used column utilities_used (type DECIMAL[14]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_to_hltv_team column team_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_to_hltv_team column hltv_team_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table servers column id (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table servers column name (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table servers column public (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table servers column server_type_id (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_sub_stats column coach_match_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_sub_stats column coach_player_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_sub_stats column sub_stat (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_sub_stats column score (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table followed_users column user_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table followed_users column followed_user_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_smoke_efficiency column coach_match_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_smoke_efficiency column match_platform (type VARCHAR[50]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_smoke_efficiency column rounds_played (type BIGINT[19]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_smoke_efficiency column match_date (type TIMESTAMP[19]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_smoke_efficiency column coach_player_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_smoke_efficiency column player_rank (type VARCHAR[20]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_smoke_efficiency column smoke_efficiency (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_weeks column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_weeks column user_training_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_weeks column begin_date (type DATE[10]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_weeks column end_date (type DATE[10]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_weeks column matches_goal (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_weeks column engagement (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_rifle_hs_rate column coach_match_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_rifle_hs_rate column match_platform (type VARCHAR[50]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_rifle_hs_rate column match_date (type TIMESTAMP[19]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_rifle_hs_rate column coach_player_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_rifle_hs_rate column player_rank (type VARCHAR[20]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_rifle_hs_rate column rifle_hs_rate (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_week_map_stats column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_week_map_stats column user_training_week_map_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_week_map_stats column kills (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_week_map_stats column kills_hs (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_week_map_stats column assists (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_week_map_stats column deaths (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_week_map_stats column play_time_in_s (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_week_map_stats column map (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_v2_streaks column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_v2_streaks column user_training_v2_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_v2_streaks column value (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_v2_streaks column last_update (type TIMESTAMP[19]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_heatmap_per_rounds column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_heatmap_per_rounds column coach_match_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_heatmap_per_rounds column coach_player_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_heatmap_per_rounds column round (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_heatmap_per_rounds column position_x (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_heatmap_per_rounds column position_y (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_heatmap_per_rounds column value (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column coach_match_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column coach_player_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column round (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column side (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column won (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column kills (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column opening_kills (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column exit_kills (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column hs_kills (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column clutch_kills (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column clutch_against (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column clutch_plants (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column clutch_defuses (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column trade_kills (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column fake_plants (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column fake_defuses (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column kills_after_fake (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column kills_to_flashed (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column kills_while_flashed (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column kills_to_not_seeing (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column self_kills (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column team_kills (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column assists (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column flash_assists (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column deaths (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column opening_deaths (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column death_flashed (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column death_by_flashed (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column death_without_seeing (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column death_unscoped (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column death_with_nade (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column death_with_knife (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column exit_deaths (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column traded (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column damage_dealt (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column team_damage (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column self_damage (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column opponents_hurt (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column teammates_hurt (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column bomb_plants (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column bomb_defuses (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column opponents_flashed (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column opponents_flashed_time (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column flashed_teammates (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column flashed_teammates_time (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column got_flashed (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column got_flashed_time (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column flashed_by_teammates (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column flashed_by_teammates_time (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column distance_covered (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column distance_towards_opponents (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column early_distance (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column equipment_value (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column cash_spent (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column cash_earned (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column initial_site (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column site_changes (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column site_plant (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column first_see (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column first_contact (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column had_awp (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column sniper_kills (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column scoped_battles (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column scoped_battles_won (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column reaction_time (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column death_time (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column mvp (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column early_utilities (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column shots (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column hits (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column HS (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column good_hits (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column player_speed (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column distance_from_plant (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column utility_damage (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column smoke_quality (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column molo_quality (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column utility_value_at_death (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column weapon_drops (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column utilities_thrown (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column flashes_thrown (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column sniper_shots (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column sniper_hits (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column distance_from_team (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column round_time (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column survived_lost_round (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column unnecessary_reload (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column audible_footsteps (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column audible_footsteps_near_opponent (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column crosshair_placement (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column flashes_leading_to_kill (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column strafing (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column death_bomb_carrier (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column bad_smokes (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column defuse_kit_missplay (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column bomb_left_missplay (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column missed_trade (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column cash_left (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column unnecessary_reload_leading_to_death (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column kills_through_smoke (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column wallbangs (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column collateral_kills (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column trade_opportunities (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column trade_fail (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column spray_multi_kills (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column plant_in_round (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column had_dk (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column killed_while_defusing (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column defuser_defended (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column defuser_not_defended (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column ninja_defuse_attempt (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column ninja_plant_attempt (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column economy_deviation_from_team (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column smokes_stopping_rush (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column molotovs_stopping_rush (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column smokes_triggering_rotation (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column got_hit (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_stats_raw column got_hit_not_seeing (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_predefined_training_week_maps column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_predefined_training_week_maps column name (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_predefined_training_week_maps column role (type VARCHAR[50]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_predefined_training_week_maps column map_id (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_predefined_training_week_maps column training_time (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_predefined_training_week_maps column map_type (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_predefined_training_week_maps column training_week_day (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_fight_spot_score column coach_match_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_fight_spot_score column coach_player_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_fight_spot_score column score (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_utility_damage column coach_match_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_utility_damage column match_platform (type VARCHAR[50]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_utility_damage column rounds_played (type BIGINT[19]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_utility_damage column match_date (type TIMESTAMP[19]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_utility_damage column coach_player_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_utility_damage column player_rank (type VARCHAR[20]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_utility_damage column utilities_dmg (type DECIMAL[14]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_strengths_and_weaknesses column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_strengths_and_weaknesses column coach_match_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_strengths_and_weaknesses column coach_player_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_strengths_and_weaknesses column is_strength (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_strengths_and_weaknesses column skill (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_heatmaps column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_heatmaps column coach_match_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_heatmaps column coach_player_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_heatmaps column json_data (type TEXT[65535]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_v2_level_segment_unit_stats column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_v2_level_segment_unit_stats column user_training_v2_level_segment_unit_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_v2_level_segment_unit_stats column kills (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_v2_level_segment_unit_stats column kills_hs (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_v2_level_segment_unit_stats column assists (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_v2_level_segment_unit_stats column deaths (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_v2_level_segment_unit_stats column play_time_in_s (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_v2_level_segment_unit_stats column map (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_v2_level_segment_unit_stats column inserted_date (type TIMESTAMP[19]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table missplays column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table missplays column value (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table teams_with_ranking column id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table teams_with_ranking column name (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table teams_with_ranking column country (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table teams_with_ranking column logo (type VARCHAR[20]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table teams_with_ranking column color (type VARCHAR[7]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table teams_with_ranking column total_matches (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table teams_with_ranking column total_wins (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table teams_with_ranking column last_results (type VARCHAR[5]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table teams_with_ranking column rating_value (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table teams_with_ranking column ranking_position (type DECIMAL[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table teams_with_ranking column last_rating_value (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table teams_with_ranking column last_ranking_position (type DECIMAL[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table challenges column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table challenges column goal (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table challenges column difficulty (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table challenges column challenge_type_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table challenges column description (type VARCHAR[100]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_leaderboard_match_stats column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_leaderboard_match_stats column user_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_leaderboard_match_stats column user_leaderboard_match_stat_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_leaderboard_match_stats column value (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_leaderboard_match_stats column inserted_date (type DATE[10]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_leaderboard_match_stats column match_counter (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_maps column id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_maps column match_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_maps column left_team_score (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_maps column right_team_score (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_maps column map_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_maps column state (type ENUM[8]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_maps column processing_failed (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_steam_accounts_history column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_steam_accounts_history column user_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_steam_accounts_history column steam_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_steam_accounts_history column steam_authentication_code (type VARCHAR[100]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_steam_accounts_history column steam_last_known_match_share_token (type VARCHAR[100]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_steam_accounts_history column inserted_date (type DATE[10]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_utilities column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_utilities column match_map_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_utilities column player_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_utilities column round (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_utilities column utility_type (type ENUM[7]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_utilities column position_x (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_utilities column position_y (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_utilities column position_z (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_server_stats column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_server_stats column user_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_server_stats column inserted_date (type TIMESTAMP[19]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_server_stats column server_hostname (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_server_stats column server_map (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_server_stats column server_public_ip (type VARCHAR[15]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_server_stats column server_local_ip (type VARCHAR[15]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_server_stats column region (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_server_stats column kills (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_server_stats column kills_hs (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_server_stats column deaths (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_server_stats column assists (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_server_stats column time_in_s (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_server_stats column score (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_server_stats column server_id (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_server_stats column suspect (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_overall_statistics column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_overall_statistics column coach_match_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_overall_statistics column coach_player_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_overall_statistics column aggression (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_overall_statistics column positioning (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_overall_statistics column aiming (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_overall_statistics column game_pace (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_overall_statistics column responsiveness (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_overall_statistics column utilities_usage (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_overall_statistics column sniping (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_overall_statistics column clutch (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_overall_statistics column team_play (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_leaderboard_match_stat column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_leaderboard_match_stat column name (type VARCHAR[50]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_fight_spot_score column match_map_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_fight_spot_score column player_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_fight_spot_score column score (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table stats_distributions column variable (type VARCHAR[50]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table stats_distributions column type (type VARCHAR[4]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table stats_distributions column value (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table stats_distributions column map_id (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_weapons column id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_weapons column match_map_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_weapons column weapon_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_weapons column team_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_weapons column team (type ENUM[2]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_weapons column total_purchases (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_weapons column total_kills (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_weapons column total_headshots (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_weapons column total_deaths (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_weapons column spray_accuracy (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_weapons column accuracy (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_weapons column adr (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_weapons column profitability (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_weapons column shots (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_weapons column sprays (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_weapons column shot_hits (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_weapons column spray_hits (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_weapons column total_rounds (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_accuracy_spotted column coach_match_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_accuracy_spotted column match_platform (type VARCHAR[50]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_accuracy_spotted column rounds_played (type BIGINT[19]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_accuracy_spotted column match_date (type TIMESTAMP[19]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_accuracy_spotted column coach_player_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_accuracy_spotted column player_rank (type VARCHAR[20]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_accuracy_spotted column accuracy_spotted (type DECIMAL[14]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_generated_messages column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_generated_messages column message_type (type ENUM[14]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_generated_messages column message_json (type TEXT[65535]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_generated_messages column inserted_date (type TIMESTAMP[19]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_generated_messages column user_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_generated_messages column hided (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_generated_messages column coach_match_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_rating_benchmarks column id (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_rating_benchmarks column map_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_rating_benchmarks column side (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_rating_benchmarks column regular_kills (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_rating_benchmarks column opening_kills (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_rating_benchmarks column regular_survived (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_rating_benchmarks column opening_deaths (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_rating_benchmarks column rounds_with_multiple_kills (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_rating_benchmarks column damage_dealt (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_rating_benchmarks column flash_assists (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_rating_benchmarks column smoke_molo_quality (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_rating_benchmarks column bomb_plants (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_rating_benchmarks column bomb_defuses (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_rating_benchmarks column counts (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_rating_benchmarks column total (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table comments_activity_feed column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table comments_activity_feed column author_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table comments_activity_feed column faceit_rank (type VARCHAR[20]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table comments_activity_feed column esportal_rank (type VARCHAR[20]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table comments_activity_feed column steam_rank (type VARCHAR[20]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table comments_activity_feed column created_at (type TIMESTAMP[19]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table comments_activity_feed column comment_text (type TEXT[65535]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table comments_activity_feed column approved (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table comments_activity_feed column user_generated_message_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_year_summary column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_year_summary column nickname (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_year_summary column user_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_year_summary column map_name (type VARCHAR[50]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_year_summary column map_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_year_summary column map_matches_won (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_year_summary column weapon_name (type VARCHAR[50]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_year_summary column weapon_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_year_summary column weapon_kills (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_year_summary column played_role (type VARCHAR[50]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_year_summary column utils_thrown_total (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_year_summary column utils_thrown_he (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_year_summary column utils_thrown_flash (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_year_summary column utils_thrown_smoke (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_year_summary column utils_thrown_fire (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_year_summary column flashed_time (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_year_summary column cash_earned (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_year_summary column cash_spent (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_year_summary column ggp_rating_best_month (type VARCHAR[50]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_year_summary column ggp_rating_best_month_rating (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_year_summary column ggp_rating_year_avg (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_year_summary column mate_nick_1 (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_year_summary column mate_nick_2 (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_year_summary column mate_nick_3 (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_year_summary column mate_nick_4 (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_year_summary column mate_win_ratio_1 (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_year_summary column mate_win_ratio_2 (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_year_summary column mate_win_ratio_3 (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_year_summary column mate_win_ratio_4 (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_stats_averages column user_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_stats_averages column kills_deaths_ratio (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_stats_averages column avg_damage_per_round (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_stats_averages column kills_per_match (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_stats_averages column deaths_per_match (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_stats_averages column flash_efficiency (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_stats_averages column hs_rate (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_stats_averages column updated_at (type TIMESTAMP[19]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_server_live_stats column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_server_live_stats column user_server_stats_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_server_live_stats column inserted_date (type TIMESTAMP[19]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_server_live_stats column csv_data (type MEDIUMTEXT[16777215]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table comments column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table comments column parent_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table comments column author_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table comments column faceit_rank (type VARCHAR[20]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table comments column esportal_rank (type VARCHAR[20]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table comments column steam_rank (type VARCHAR[20]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table comments column created_at (type TIMESTAMP[19]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table comments column comment_text (type TEXT[65535]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table comments column approved (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table comments column identifier (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table comments column is_removed (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapon_categories column id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapon_categories column name (type VARCHAR[150]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table event_to_hltv_event column event_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table event_to_hltv_event column hltv_event_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table role_trainings_counter column primary_role (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table role_trainings_counter column trainings (type BIGINT[19]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_faceit_accounts_history column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_faceit_accounts_history column user_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_faceit_accounts_history column faceit_account_steam_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_faceit_accounts_history column faceit_login (type VARCHAR[250]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_faceit_accounts_history column faceit_player_id (type VARCHAR[250]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_faceit_accounts_history column faceit_last_known_match (type VARCHAR[250]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_faceit_accounts_history column inserted_date (type DATE[10]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_reaction_time column coach_match_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_reaction_time column match_date (type TIMESTAMP[19]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_reaction_time column match_platform (type VARCHAR[50]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_reaction_time column coach_player_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_reaction_time column player_rank (type VARCHAR[20]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_reaction_time column reaction_time (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_reaction_time column reaction_time_measured (type BIGINT[19]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column match_map_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column player_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column round (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column side (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column won (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column kills (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column opening_kills (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column exit_kills (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column hs_kills (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column clutch_kills (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column clutch_against (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column clutch_plants (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column clutch_defuses (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column trade_kills (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column fake_plants (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column fake_defuses (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column kills_after_fake (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column kills_to_flashed (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column kills_while_flashed (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column kills_to_not_seeing (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column self_kills (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column team_kills (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column assists (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column flash_assists (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column deaths (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column opening_deaths (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column death_flashed (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column death_by_flashed (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column death_without_seeing (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column death_unscoped (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column death_with_nade (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column death_with_knife (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column exit_deaths (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column traded (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column damage_dealt (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column team_damage (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column self_damage (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column opponents_hurt (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column teammates_hurt (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column bomb_plants (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column bomb_defuses (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column opponents_flashed (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column opponents_flashed_time (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column flashed_teammates (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column flashed_teammates_time (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column got_flashed (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column got_flashed_time (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column flashed_by_teammates (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column flashed_by_teammates_time (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column distance_covered (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column distance_towards_opponents (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column early_distance (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column equipment_value (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column cash_spent (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column cash_earned (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column initial_site (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column site_changes (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column site_plant (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column first_see (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column first_contact (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column had_awp (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column sniper_kills (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column scoped_battles (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column scoped_battles_won (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column reaction_time (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column death_time (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column mvp (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column early_utilities (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column shots (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column hits (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column HS (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column good_hits (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column player_speed (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column distance_from_plant (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column utility_damage (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column smoke_quality (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column molo_quality (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column utility_value_at_death (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column weapon_drops (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column utilities_thrown (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column flashes_thrown (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column distance_from_team (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column round_time (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column survived_lost_round (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column unnecessary_reload (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column audible_footsteps (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column audible_footsteps_near_opponent (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column flashes_leading_to_kill (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column unnecessary_reload_leading_to_death (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column kills_through_smoke (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column wallbangs (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column collateral_kills (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column trade_opportunities (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column trade_fail (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column spray_multi_kills (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column death_bomb_carrier (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column plant_in_round (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column had_dk (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column killed_while_defusing (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column defuser_defended (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column defuser_not_defended (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column ninja_defuse_attempt (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column ninja_plant_attempt (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column economy_deviation_from_team (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column smokes_stopping_rush (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column molotovs_stopping_rush (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column smokes_triggering_rotation (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column crosshair_placement (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column cash_left (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column got_hit (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_stats_raw column got_hit_not_seeing (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_leaderboard_history_positions column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_leaderboard_history_positions column position (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_leaderboard_history_positions column user_leaderboard_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table schema_versions column id (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table schema_versions column major (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table schema_versions column minor (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table schema_versions column bugfix (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table schema_versions column inserted_date (type TIMESTAMP[19]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table schema_versions column changes_description (type VARCHAR[1000]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_notable_stats column id (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_notable_stats column type (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_notable_stats column team_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_notable_stats column player_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_notable_stats column mapReference (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_notable_stats column stat (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_notable_stats column value (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_notable_stats column percentile (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_notable_stats column match_map_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_predefined_training_level_segments column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_predefined_training_level_segments column name (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_predefined_training_level_segments column user_training_level_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_trainings_v2 column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_trainings_v2 column user_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_trainings_v2 column primary_role (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_trainings_v2 column inserted_date (type TIMESTAMP[19]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_weapons_raw column coach_match_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_weapons_raw column coach_player_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_weapons_raw column weapon_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_weapons_raw column round (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_weapons_raw column kills (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_weapons_raw column hs_kills (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_weapons_raw column hits (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_weapons_raw column shots (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_weapons_raw column hits_left_arm (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_weapons_raw column hits_right_arm (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_weapons_raw column hits_chest (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_weapons_raw column hits_stomach (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_weapons_raw column hits_left_leg (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_weapons_raw column hits_right_leg (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_weapons_raw column hits_head (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_weapons_raw column sprays (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_weapons_raw column spray_hits (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_weapons_raw column sprays_left_arm (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_weapons_raw column sprays_right_arm (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_weapons_raw column sprays_chest (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_weapons_raw column sprays_stomach (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_weapons_raw column sprays_left_leg (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_weapons_raw column sprays_right_leg (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_weapons_raw column sprays_head (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_weapons_raw column damage_dealt (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_weapons_raw column buys (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_weapons_raw column drops (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_weapons_raw column pickups (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_weapons_raw column damage_received (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_weapons_raw column profitability (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_weapons_raw column weapon_shots_while_opponent_spotted (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_weapons_raw column weapon_hits_while_opponent_spotted (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_weapons_raw column hits_left_arm_while_opponent_spotted (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_weapons_raw column hits_right_arm_while_opponent_spotted (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_weapons_raw column hits_chest_while_opponent_spotted (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_weapons_raw column hits_stomach_while_opponent_spotted (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_weapons_raw column hits_left_leg_while_opponent_spotted (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_weapons_raw column hits_right_leg_while_opponent_spotted (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_weapons_raw column hits_head_while_opponent_spotted (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_weapons_raw column sprays_while_opponent_spotted (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_weapons_raw column spray_hits_while_opponent_spotted (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_weapons_raw column crosshair_placement (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_weapons_raw column tap_shots (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_weapons_raw column tap_hits (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_weapons_raw column strafing (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_weapons_raw column weapon_shots_opponent_not_seeing (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_round_weapons_raw column weapon_hits_opponent_not_seeing (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table trial_monitoring column date (type DATETIME[19]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table trial_monitoring column trial_user_count (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_positions column id (type BIGINT[19]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_positions column match_map_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_positions column player_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_positions column json_data (type MEDIUMTEXT[16777215]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_economy column id (type BIGINT[19]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_economy column coach_player_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_economy column coach_match_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_player_economy column json_economy_per_round (type TEXT[65535]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_v2_level_segment_units column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_v2_level_segment_units column user_training_v2_level_segment_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_v2_level_segment_units column name (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_v2_level_segment_units column goal (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_v2_level_segment_units column goal_type (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_v2_level_segment_units column current_progress (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_v2_level_segment_units column started_date (type TIMESTAMP[19]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_v2_level_segment_units column completed_date (type TIMESTAMP[19]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_v2_level_segment_units column manual_completed (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_v2_level_segment_units column status (type ENUM[19]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_v2_level_segment_units column message_variant (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_mini_games_results column id (type BIGINT[19]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_mini_games_results column user_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_mini_games_results column game_type (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_mini_games_results column inserted_date (type TIMESTAMP[19]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_mini_games_results column time (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_mini_games_results column points (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_mini_games_results column hits (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_mini_games_results column miss (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_team_stats column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_team_stats column team_side (type VARCHAR[2]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_team_stats column coach_match_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_team_stats column rounds_t (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_team_stats column rounds_ct (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_team_stats column won_rounds_t (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_team_stats column won_rounds_ct (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_team_stats column won_rounds_by_kills (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_team_stats column won_rounds_by_explosion (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_team_stats column won_rounds_by_defuse (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_team_stats column won_rounds_by_time (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_team_stats column rating (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_team_stats column t_rating (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_team_stats column ct_rating (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_team_stats column total_kills (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_team_stats column total_headshots (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_team_stats column total_deaths (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_team_stats column damage_per_round (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_team_stats column grenade_damage_per_round (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_team_stats column clutches_1_2_won (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_team_stats column clutches_1_2_played (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_team_stats column clutches_1_3_played (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_team_stats column clutches_1_4_played (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_team_stats column clutches_1_5_played (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_team_stats column clutches_1_3_won (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_team_stats column clutches_1_4_won (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_team_stats column clutches_1_5_won (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_team_stats column bombs_planted (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_team_stats column bombs_defused (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_team_stats column opening_kills (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_team_stats column avg_player_rating (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_team_stats column avg_round_time (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_missplays_in_rounds column id (type BIGINT[19]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_missplays_in_rounds column coach_match_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_missplays_in_rounds column coach_player_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_missplays_in_rounds column missplay_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_missplays_in_rounds column round (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_missplays_in_rounds column time (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_missplays_in_rounds column x (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_missplays_in_rounds column y (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_missplays_in_rounds column z (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_rifle_strafing column coach_match_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_rifle_strafing column match_platform (type VARCHAR[50]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_rifle_strafing column match_date (type TIMESTAMP[19]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_rifle_strafing column coach_player_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_rifle_strafing column player_rank (type VARCHAR[20]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_rifle_strafing column rifle_strafing (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_players column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_players column steam_id_64 (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_players column current_rank (type VARCHAR[20]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_sub_stats column match_map_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_sub_stats column player_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_sub_stats column sub_stat (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_sub_stats column score (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_weapons column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_weapons column coach_match_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_weapons column coach_player_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_weapons column weapon_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_weapons column team_side (type VARCHAR[2]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_weapons column team (type ENUM[2]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_weapons column total_purchases (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_weapons column total_kills (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_weapons column total_headshots (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_weapons column total_deaths (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_weapons column total_rounds (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_weapons column spray_accuracy (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_weapons column accuracy (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_weapons column adr (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_weapons column profitability (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_weapons column shots (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_weapons column sprays (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_weapons column shot_hits (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_weapons column spray_hits (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_weapons column crosshair_placement (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_weapons column total_headshot_kills (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_weapons column total_possessions (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_weapons column total_damage (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_weapons column quickscopes (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_weapons column quickscope_hits (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_weapons column hits_head (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_weapons column hits_chest (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_weapons column counter_strafing (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_weapons column shots_spotted (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_weapons column hits_spotted (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table average_stats_for_rank column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table average_stats_for_rank column player_rank (type VARCHAR[50]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table average_stats_for_rank column platform (type VARCHAR[50]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table average_stats_for_rank column stat_name (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table average_stats_for_rank column stat_value (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_matches column user_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_matches column coach_match_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_matches column steam_id_64 (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_matches column team_side (type VARCHAR[2]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table map_fight_spots column map_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table map_fight_spots column x (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table map_fight_spots column y (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table map_fight_spots column played (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table map_fight_spots column won (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table average_general_stats_for_rank column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table average_general_stats_for_rank column player_rank (type VARCHAR[50]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table average_general_stats_for_rank column platform (type VARCHAR[50]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table average_general_stats_for_rank column kills_deaths_ratio (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table average_general_stats_for_rank column avg_damage_per_round (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table average_general_stats_for_rank column kills_per_match (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table average_general_stats_for_rank column deaths_per_match (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table average_general_stats_for_rank column flash_efficiency (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table average_general_stats_for_rank column hs_rate (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_matches column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_matches column match_id (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_matches column demo_url (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_matches column match_platform (type VARCHAR[50]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_matches column match_type (type VARCHAR[100]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_matches column match_date (type TIMESTAMP[19]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_matches column left_team_score (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_matches column right_team_score (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_matches column map_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_matches column coach_match_states (type ENUM[15]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_matches column inserted_date (type TIMESTAMP[19]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_matches column downloaded_at (type TIMESTAMP[19]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_matches column processing_finished (type TIMESTAMP[19]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_matches column reported (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_matches column side_surrendered (type ENUM[5]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_kills column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_kills column coach_match_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_kills column killing_coach_player_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_kills column killed_coach_player_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_kills column round (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_kills column killed_position_x (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_kills column killed_position_y (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_kills column killed_position_z (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_kills column killed_by_bomb (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_kills column weapon_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_kills column assisting_coach_player_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_kills column killer_position_x (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_kills column killer_position_y (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_kills column killer_position_z (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table challenge_weapons column weapon_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table challenge_weapons column challenge_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_predefined_training_level_segment_units column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_predefined_training_level_segment_units column user_training_level_segment_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_predefined_training_level_segment_units column name (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_predefined_training_level_segment_units column goal (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_predefined_training_level_segment_units column goal_type (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table users column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table users column login (type VARCHAR[150]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table users column platform (type VARCHAR[50]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table users column social_id (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table users column steam_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table users column deleted (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table users column deleted_date (type TIMESTAMP[19]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table users column steam_authentication_code (type VARCHAR[100]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table users column steam_last_known_match_share_token (type VARCHAR[250]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table users column faceit_login (type VARCHAR[250]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table users column faceit_steam_id (type BIGINT[19]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table users column faceit_player_id (type VARCHAR[250]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table users column faceit_last_known_match (type VARCHAR[250]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table users column steam_rank (type VARCHAR[20]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table users column faceit_rank (type VARCHAR[20]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table users column registered_at (type TIMESTAMP[19]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table users column esportal_username (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table users column esportal_id (type BIGINT[19]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table users column esportal_steam_id (type BIGINT[19]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table users column esportal_last_known_match (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table users column esportal_rank (type VARCHAR[20]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table users column private_account (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table users column private_steam (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table users column private_faceit (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table users column private_esportal (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table users column private_upload (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table users column xsolla_id (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table users column mailchimp_id (type VARCHAR[32]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table users column pro_status_valid_date (type DATETIME[19]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table users column is_trial_active (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table users column last_session_timestamp (type TIMESTAMP[19]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table users column affiliation_program (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table users column cid (type VARCHAR[30]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_utilities_raw column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_utilities_raw column match_map_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_utilities_raw column player_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_utilities_raw column round (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_utilities_raw column utility_type (type ENUM[7]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_utilities_raw column position_x (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_utilities_raw column position_y (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_utilities_raw column position_z (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_utilities_raw column origin_x (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_utilities_raw column origin_y (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_utilities_raw column origin_z (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_to_hltv_player column player_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_to_hltv_player column hltv_player_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_to_hltv_player column last_updated_at (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_rating_dates column id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_rating_dates column rating_date (type DATE[10]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_stat_rank_averages column platform (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_stat_rank_averages column stat (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_stat_rank_averages column rank (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_stat_rank_averages column score (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table comments_rating column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table comments_rating column user_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table comments_rating column rating (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table comments_rating column comment_af_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table comments_rating column comment_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_rounds_results column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_rounds_results column coach_match_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_rounds_results column round (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_rounds_results column winner_team_side (type VARCHAR[2]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_rounds_results column reason (type ENUM[9]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_rounds_results column mvp_coach_player_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_rounds_results column coach_player_defused_bomb_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_plugin_data column user_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_plugin_data column data (type TEXT[65535]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column match_map_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column player_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column round (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column side (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column won (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column kills (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column trade_kills (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column hs_kills (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column clutch_kills (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column deaths (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column traded (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column assists (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column flash_assists (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column opening_kills (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column opening_deaths (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column dmg_dealt (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column own_damage (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column team_players_hurt (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column team_kills (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column self_kills (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column exit_kills (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column deaths_flashed (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column bomb_plants (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column bomb_defused (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column fake_plant (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column fake_defuse (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column got_flashed (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column opponents_flashed (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column kills_to_flashed (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column clutch_plants (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column clutch_defuses (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column kills_after_fake (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column deaths_without_seeing (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column kills_to_not_seeing (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column first_see (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column first_contact (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column death_time (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column opponents_hurt (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column dmg_sources (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column flashed (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column flash_caused (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column distance_covered (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column distance_towards_enemy (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column distance_in_right_dir (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column distance_from_team (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column equipment_value (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column cash_spent (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column cash_earned (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column initial_site (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column site_changes (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column scoped_battles_won (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column scoped_battles_lost (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column first_to_see (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column first_damage (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column had_awp (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column died_unscoped (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column died_knife_nade (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column early_distance (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column aggression (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column positioning (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column rating (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column def_rating (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column off_rating (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column bomb_planted (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column site_planted (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_round_raw_stats column mvp (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table maps column id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table maps column map_name (type VARCHAR[150]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table maps column active_duty (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table maps column game_pace (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table maps column matches_played_on_map (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table maps column ct_won_rounds (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table maps column t_won_rounds (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table maps column total_rounds (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table maps column aggression (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table maps column positioning (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table maps column tactical_responsiveness (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table maps column sniping (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table maps column search_for_first_contact (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table maps column use_of_flash_grenades (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table maps column use_of_molotova_cocktails (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table maps column use_of_smoke_grenades (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table maps column use_of_grenades (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table maps column frequent_changes_in_position (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table maps column long_short_distance_duels (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table maps column pistol_rounds (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table maps column slug (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table maps column esportlab_id (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table players_similarities column coach_player_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table players_similarities column player_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table players_similarities column value (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table stats_benchmark column id (type BIGINT[19]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table stats_benchmark column variable (type VARCHAR[45]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table stats_benchmark column type (type VARCHAR[45]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table stats_benchmark column platform (type VARCHAR[45]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table stats_benchmark column value (type FLOAT[12]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_stats column id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_stats column team_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_stats column match_map_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_stats column rounds_t (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_stats column rounds_ct (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_stats column won_rounds_t (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_stats column won_rounds_ct (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_stats column won_rounds_by_kills (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_stats column won_rounds_by_explosion (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_stats column won_rounds_by_defuse (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_stats column won_rounds_by_time (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_stats column rating (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_stats column t_rating (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_stats column ct_rating (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_stats column total_kills (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_stats column total_headshots (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_stats column total_deaths (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_stats column damage_per_round (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_stats column grenade_damage_per_round (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_stats column clutches_1_2_won (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_stats column clutches_1_2_played (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_stats column clutches_1_3_played (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_stats column clutches_1_4_played (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_stats column clutches_1_5_played (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_stats column clutches_1_3_won (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_stats column clutches_1_4_won (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_stats column clutches_1_5_won (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_stats column bombs_planted (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_stats column bombs_defused (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_stats column opening_kills (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_stats column avg_player_rating (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_stats column avg_round_time (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_recoil_average column coach_match_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_recoil_average column coach_player_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_recoil_average column weapon_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_recoil_average column shot (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_recoil_average column control_x (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_recoil_average column control_y (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_recoil_average column scoped (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_week_maps column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_week_maps column user_training_week_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_week_maps column name (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_week_maps column url (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_week_maps column training_done (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_week_maps column training_goal (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_week_maps column training_week_day (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_week_maps column skill (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_week_maps column map_id (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_week_maps column map_type (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_week_maps column weapon_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_common_match_edges column user_a (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_common_match_edges column user_b (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_common_match_edges column matches_played (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_common_match_edges column matches_won (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_common_match_edges column kills_a (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_common_match_edges column assists_a (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_common_match_edges column deaths_a (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_common_match_edges column kills_b (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_common_match_edges column assists_b (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_common_match_edges column deaths_b (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table skill_sub_stats column id (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table skill_sub_stats column skill_id (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table skill_sub_stats column name (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table skill_sub_stats column weight (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_sessions column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_sessions column user_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_sessions column session_timestamp (type TIMESTAMP[19]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_sessions column request_path (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table server_usage_stats_players column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table server_usage_stats_players column server_usage_stats_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table server_usage_stats_players column steam_id_64 (type BIGINT[19]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table server_usage_stats_players column user_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table server_usage_stats_players column had_pro_status (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table server_usage_stats_players column had_pro_trial (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table server_usage_stats_players column ping (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table server_usage_stats_players column play_time_in_s (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_kills_raw column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_kills_raw column match_map_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_kills_raw column killing_player_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_kills_raw column killed_player_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_kills_raw column round (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_kills_raw column killed_position_x (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_kills_raw column killed_position_y (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_kills_raw column killed_position_z (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_kills_raw column killed_by_bomb (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_kills_raw column weapon_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_kills_raw column assisting_player_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_kills_raw column killer_position_x (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_kills_raw column killer_position_y (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_kills_raw column killer_position_z (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column match_map_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column player_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column team_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column kills (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column deaths (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column assists (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column trade_kills (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column clutch_kills (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column dmg_dealt (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column team_players_hurt (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column self_kills (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column deaths_flashed (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column bombs_defused (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column fake_plants (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column fake_defuses (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column got_flashed (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column opponents_flashed (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column kills_to_flashed (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column kills_to_not_seeing (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column first_see_in_seconds (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column first_contact_in_seconds (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column avg_death_time (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column opponents_hurt (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column dmg_sources (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column flashed (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column flashes_caused (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column avg_distance_covered (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column avg_distance_towards_enemy (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column avg_distance_in_right_dir (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column avg_distance_from_team (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column avg_equipment_value (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column cash_spent (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column cash_earned (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column site_changes (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column scoped_battles_won (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column scoped_battles_lost (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column first_to_see (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column first_damages (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column number_of_possessed_awp (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column dies_unscoped (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column dies_knife_nade (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column early_distance (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column bomb_planted (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column site_plants (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column mvps (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column traded (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column headshot_kills (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column opening_kills (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column opening_deaths (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column no_kills (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column multiple_kills (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column kast (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column rounds_played (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column own_damage (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column team_hurt (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column team_kills (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column exit_kills (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column flashed_deaths (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column flash_assists (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column kills_flashed (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column bomb_plants (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column clutch_plants (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column bomb_defuses (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column clutch_defuses (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column kills_after_fake (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column deaths_no_seeing (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column adr (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column rating (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column t_rating (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column ct_rating (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column rifler (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column support (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column awper (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column entry_fragger (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column lurker (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column first_round_side (type VARCHAR[2]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column sniper_strafing (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column sniper_crosshair_placement (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column avg_reaction_time (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column flash_efficency (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column rifle_strafing (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column rifle_sprays_while_opponent_spotted (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column rifle_spray_hits_while_opponent_spotted (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column rifle_good_hits_while_opponent_spotted (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column rifle_weapon_shots_while_opponent_spotted (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column rifle_weapon_hits_while_opponent_spotted (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column rifle_kills (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column rifle_hs_kills (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column sniper_hs_kills (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column sniper_kills (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column sniper_weapon_hits_while_opponent_spotted (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column sniper_weapon_shots_while_opponent_spotted (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column sniper_good_hits_while_opponent_spotted (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column utilities_dmg (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column flashes_thrown (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column opponents_flashed_time (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column rifler_crosshair_placement (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column weapon_shots (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column weapon_hits (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column weapon_shots_spotted (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_lineups column weapon_hits_spotted (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_generated_message_thumbs_up column user_generated_message_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_generated_message_thumbs_up column user_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table progression_tab_stats_benchmark column id (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table progression_tab_stats_benchmark column match_platform (type VARCHAR[45]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table progression_tab_stats_benchmark column player_rank (type VARCHAR[45]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table progression_tab_stats_benchmark column feature (type VARCHAR[45]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table progression_tab_stats_benchmark column score (type FLOAT[12]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_maps_states column state (type ENUM[8]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_maps_states column count(1) (type BIGINT[19]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_hitboxes column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_hitboxes column coach_match_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_hitboxes column coach_player_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_hitboxes column weapon_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_hitboxes column total_shots (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_hitboxes column shots_in_head (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_hitboxes column shots_in_chest (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_hitboxes column shots_in_stomach (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_hitboxes column shots_in_left_arm (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_hitboxes column shots_in_right_arm (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_hitboxes column shots_in_left_leg (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_hitboxes column shots_in_right_leg (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_stats_per_level column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_stats_per_level column primary_role (type VARCHAR[50]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_stats_per_level column level (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_stats_per_level column aim (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_stats_per_level column pistol (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_stats_per_level column rifle (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_stats_per_level column sniping (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_stats_per_level column utilities (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_stats_per_level column teamplay (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table csgo_server_messages column id (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table csgo_server_messages column message_text (type VARCHAR[1000]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table csgo_server_messages column user_type (type ENUM[34]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table csgo_server_messages column period_visability_in_s (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table map_game_modes column id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table map_game_modes column map_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table map_game_modes column game_mode_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_utilities column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_utilities column coach_match_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_utilities column coach_player_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_utilities column round (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_utilities column utility_type (type ENUM[7]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_utilities column position_x (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_utilities column position_y (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_utilities column position_z (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_analyzer_logs column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_analyzer_logs column coach_match_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_analyzer_logs column log_type (type ENUM[20]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_analyzer_logs column error_log (type TEXT[65535]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_analyzer_logs column inserted_date (type TIMESTAMP[19]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_characteristics_raw column id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_characteristics_raw column team_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_characteristics_raw column match_map_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_characteristics_raw column defence (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_characteristics_raw column offence (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_characteristics_raw column speed_style (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_characteristics_raw column retakes (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_characteristics_raw column utility_usage (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_characteristics_raw column sniping (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_characteristics_raw column pistol_rounds (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_characteristics_raw column using_player_advantage (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_characteristics_raw column clutch_plays (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 destination > 2022-06-07 16:05:15 INFO i.a.i.d.b.BigQueryUtils(createPartitionedTable):131 - Partitioned table created successfully: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=ggpredict_airbyte, tableId=_airbyte_tmp_iaa_challenge_types}}
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_characteristics_raw column comebacks (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_characteristics_raw column holding_onto_the_lead (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_characteristics_raw column trading_deaths (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_characteristics_raw column opening_kills (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_characteristics_raw column positioning (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_characteristics_raw column defence_against_snipers (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_characteristics_raw column offence_against_snipers (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_characteristics_raw column aggression (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_characteristics_raw column defensive_offensive_rating (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_characteristics_raw column sniper_dependency (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_characteristics_raw column utilities_usage (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_characteristics_raw column focusing_style (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_characteristics_raw column positioning_style (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_characteristics_raw column player_dependency (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_ratings column id (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_ratings column player_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_ratings column ranking_position (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_ratings column value (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table player_ratings column player_rating_date_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_rifle_shots_to_kill column coach_match_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_rifle_shots_to_kill column match_platform (type VARCHAR[50]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_rifle_shots_to_kill column match_date (type TIMESTAMP[19]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_rifle_shots_to_kill column coach_player_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_rifle_shots_to_kill column player_rank (type VARCHAR[20]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_rifle_shots_to_kill column rifle_shots_to_kill (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_flash_efficiency column coach_match_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_flash_efficiency column match_platform (type VARCHAR[50]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_flash_efficiency column match_date (type TIMESTAMP[19]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_flash_efficiency column coach_player_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_flash_efficiency column player_rank (type VARCHAR[20]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_flash_efficiency column flash_efficiency (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_sub_stats_v2 column coach_match_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_sub_stats_v2 column coach_player_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_sub_stats_v2 column sub_stat (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_sub_stats_v2 column score (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_skills_to_improve column coach_player_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_skills_to_improve column advanced_stat (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_skills_to_improve column sub_stat (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_choice_stats column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_choice_stats column radar_stats (type VARCHAR[50]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_choice_stats column sub_stats (type VARCHAR[50]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_v2_unit_tags column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_v2_unit_tags column unit_name (type VARCHAR[50]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_v2_unit_tags column tag (type VARCHAR[50]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_steam_jsons column coach_match_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_steam_jsons column json_data (type TEXT[65535]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_advanced_stats column coach_match_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_advanced_stats column coach_player_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_advanced_stats column aggression (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_advanced_stats column positioning (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_advanced_stats column aiming (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_advanced_stats column gamepace (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_advanced_stats column responsiveness (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_advanced_stats column utilitiesusage (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_advanced_stats column sniping (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_advanced_stats column clutch (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_advanced_stats column teamplay (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_players_to_follow column user_training_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_players_to_follow column player_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_characteristics column id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_characteristics column team_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_characteristics column match_map_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_characteristics column defence (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_characteristics column offence (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_characteristics column speed_style (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_characteristics column retakes (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_characteristics column utility_usage (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_characteristics column sniping (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_characteristics column pistol_rounds (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_characteristics column using_player_advantage (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_characteristics column clutch_plays (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_characteristics column comebacks (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_characteristics column holding_onto_the_lead (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_characteristics column trading_deaths (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_characteristics column opening_kills (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_characteristics column positioning (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_characteristics column defence_against_snipers (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_characteristics column offence_against_snipers (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_characteristics column aggression (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_characteristics column defensive_offensive_rating (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_characteristics column sniper_dependency (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_characteristics column utilities_usage (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_characteristics column focusing_style (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_characteristics column positioning_style (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_characteristics column player_dependency (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_recoils column coach_match_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_recoils column coach_player_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_recoils column spray_id (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_recoils column shot (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_recoils column weapon_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_recoils column control_x (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_recoils column control_y (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_recoils column scoped (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_v2_levels column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_v2_levels column user_training_v2_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_v2_levels column level (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_v2_levels column inserted_date (type TIMESTAMP[19]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_v2_levels column finished_date (type TIMESTAMP[19]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_v2_levels column current_overall (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_v2_levels column overall_at_start (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_player_unit_report_skills_components column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_player_unit_report_skills_components column coach_player_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_player_unit_report_skills_components column rifle_hs_kills_share (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_player_unit_report_skills_components column sniper_hs_kills_share (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_player_unit_report_skills_components column rifle_accuracy_spotted (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_player_unit_report_skills_components column sniper_accuracy_spotted (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_player_unit_report_skills_components column rifle_good_hits_share (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_player_unit_report_skills_components column sniper_good_hits_share (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_player_unit_report_skills_components column rifle_spray_accuracy_spotted (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_player_unit_report_skills_components column rifle_counter_strafing (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_player_unit_report_skills_components column sniper_counter_strafing (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_player_unit_report_skills_components column rifle_crosshair_placement (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_player_unit_report_skills_components column sniper_crosshair_placement (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_player_unit_report_skills_components column flash_efficiency (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_player_unit_report_skills_components column teammates_flash_efficiency (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_player_unit_report_skills_components column flashes_leading_to_kill_share (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_player_unit_report_skills_components column utility_value_at_death (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_player_unit_report_skills_components column utilities_thrown (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_player_unit_report_skills_components column utility_damage (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_player_unit_report_skills_components column reaction_time (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_player_unit_report_skills_components column inserted_date (type DATE[10]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_rifle_accuracy_spotted column coach_match_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_rifle_accuracy_spotted column match_platform (type VARCHAR[50]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_rifle_accuracy_spotted column match_date (type TIMESTAMP[19]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_rifle_accuracy_spotted column coach_player_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_rifle_accuracy_spotted column player_rank (type VARCHAR[20]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_rifle_accuracy_spotted column rifle_accuracy_spotted (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_characteristics column id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_characteristics column team_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_characteristics column defence (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_characteristics column offence (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_characteristics column speed_style (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_characteristics column retakes (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_characteristics column utility_usage (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_characteristics column sniping (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_characteristics column pistol_rounds (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_characteristics column using_player_advantage (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_characteristics column clutch_plays (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_characteristics column comebacks (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_characteristics column holding_onto_the_lead (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_characteristics column trading_deaths (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_characteristics column opening_kills (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_characteristics column positioning (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_characteristics column defence_against_snipers (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_characteristics column offence_against_snipers (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_characteristics column aggression (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_characteristics column defensive_offensive_rating (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_characteristics column sniper_dependency (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_characteristics column utilities_usage (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_characteristics column focusing_style (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_characteristics column positioning_style (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_characteristics column player_dependency (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table search_requests column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table search_requests column phrase (type VARCHAR[150]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table search_requests column counter (type BIGINT[19]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_ratings column id (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_ratings column team_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_ratings column ranking_position (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_ratings column value (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_ratings column team_rating_date_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table server_usage_stats column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table server_usage_stats column server_public_ip (type VARCHAR[15]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table server_usage_stats column server_local_ip (type VARCHAR[15]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table server_usage_stats column server_hostname (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table server_usage_stats column region (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table server_usage_stats column players_count (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table server_usage_stats column inserted_timestamp (type TIMESTAMP[19]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_performance_based_on_roles_and_ranks column platform (type VARCHAR[50]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_performance_based_on_roles_and_ranks column player_rank (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_performance_based_on_roles_and_ranks column role (type VARCHAR[50]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_performance_based_on_roles_and_ranks column aggression (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_performance_based_on_roles_and_ranks column aiming (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_performance_based_on_roles_and_ranks column clutch (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_performance_based_on_roles_and_ranks column gamepace (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_performance_based_on_roles_and_ranks column positioning (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_performance_based_on_roles_and_ranks column responsiveness (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_performance_based_on_roles_and_ranks column sniping (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_performance_based_on_roles_and_ranks column teamplay (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_performance_based_on_roles_and_ranks column utilities_usage (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_purchase_strategies column id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_purchase_strategies column match_map_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_purchase_strategies column team_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_purchase_strategies column played_as_team (type ENUM[2]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_purchase_strategies column strategy_eco (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_purchase_strategies column strategy_force (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_team_purchase_strategies column strategy_buy (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_rifle_accuracy column coach_match_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_rifle_accuracy column match_platform (type VARCHAR[50]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_rifle_accuracy column match_date (type TIMESTAMP[19]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_rifle_accuracy column coach_player_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_rifle_accuracy column player_rank (type VARCHAR[20]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_rifle_accuracy column rifle_accuracy (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table xsolla_payment_hooks column id (type BIGINT[19]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table xsolla_payment_hooks column user_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table xsolla_payment_hooks column xsolla_payload (type TEXT[65535]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table xsolla_payment_hooks column notification_type (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table xsolla_payment_hooks column error_reason (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table xsolla_payment_hooks column subscription_id (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table xsolla_payment_hooks column transaction_id (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table xsolla_payment_hooks column pro_status_days (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table xsolla_payment_hooks column pro_status_months (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_single_match_advanced_stats_v2 column coach_match_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_single_match_advanced_stats_v2 column coach_player_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_single_match_advanced_stats_v2 column aim (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_single_match_advanced_stats_v2 column pistol (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_single_match_advanced_stats_v2 column rifle (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_single_match_advanced_stats_v2 column sniping (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_single_match_advanced_stats_v2 column utilities (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_single_match_advanced_stats_v2 column teamplay (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_single_match_advanced_stats_v2 column movement (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table server_subtypes column id (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table server_subtypes column name (type VARCHAR[50]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table server_subtypes column description (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table server_subtypes column server_type_id (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table subscription_cohorts column user_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table subscription_cohorts column days_until_subscribed (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_month_progresses column user_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_month_progresses column matches (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_month_progresses column skill (type VARCHAR[50]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_month_progresses column progress_value (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_month_progresses column progress_month (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_month_progresses column progress_year (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_choice_units column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_choice_units column user_training_choice_stats_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_choice_units column unit_name (type VARCHAR[50]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_choice_units column unit_type (type ENUM[4]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_choice_units column goal (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_choice_units column server_type_id (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table subscription_monitoring column date (type DATE[10]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table subscription_monitoring column payment_amount (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table subscription_monitoring column qty (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table advanced_stats_transformation_data column stat_id (type VARCHAR[50]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table advanced_stats_transformation_data column variable (type VARCHAR[50]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table advanced_stats_transformation_data column value (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_server_weapon_stats column id (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_server_weapon_stats column shots (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_server_weapon_stats column hits (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_server_weapon_stats column damage (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_server_weapon_stats column kills (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_server_weapon_stats column kills_hs (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_server_weapon_stats column time_possession (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_server_weapon_stats column hitgroup_generic (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_server_weapon_stats column hitgroup_head (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_server_weapon_stats column hitgroup_chest (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_server_weapon_stats column hitgroup_stomach (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_server_weapon_stats column hitgroup_leftarm (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_server_weapon_stats column hitgroup_rightarm (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_server_weapon_stats column hitgroup_leftleg (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_server_weapon_stats column hitgroup_rightleg (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_server_weapon_stats column hitgroup_neck (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_server_weapon_stats column hitgroup_gear (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_server_weapon_stats column weapon_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_server_weapon_stats column user_server_stats_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table performance_radar_percentile_benchmark column id (type BIGINT[19]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table performance_radar_percentile_benchmark column radar_skill (type VARCHAR[50]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table performance_radar_percentile_benchmark column sub_statistic (type VARCHAR[50]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table performance_radar_percentile_benchmark column percentile (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table performance_radar_percentile_benchmark column scoreatpercentile (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_team_purchase_strategies column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_team_purchase_strategies column coach_match_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_team_purchase_strategies column team_side (type VARCHAR[2]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_team_purchase_strategies column played_as_team (type ENUM[2]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_team_purchase_strategies column strategy_eco (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_team_purchase_strategies column strategy_force (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_team_purchase_strategies column strategy_buy (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_week_progress column user_training_week_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_week_progress column matches (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_week_progress column skill (type VARCHAR[50]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_week_progress column value (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_kills_raw column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_kills_raw column coach_match_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_kills_raw column killing_coach_player_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_kills_raw column killed_coach_player_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_kills_raw column round (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_kills_raw column killed_position_x (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_kills_raw column killed_position_y (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_kills_raw column killed_position_z (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_kills_raw column killed_by_bomb (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_kills_raw column weapon_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_kills_raw column assisting_coach_player_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_kills_raw column killer_position_x (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_kills_raw column killer_position_y (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_kills_raw column killer_position_z (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_heatmap_per_rounds column id (type BIGINT[19]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_heatmap_per_rounds column match_map_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_heatmap_per_rounds column player_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_heatmap_per_rounds column json_data (type MEDIUMTEXT[16777215]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_to_hltv_match column match_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_to_hltv_match column hltv_match_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_to_hltv_match column demo_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_weapons_raw column match_map_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_weapons_raw column player_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_weapons_raw column weapon_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_weapons_raw column round (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_weapons_raw column kills (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_weapons_raw column hs_kills (type TINYINT UNSIGNED[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_weapons_raw column hits (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_weapons_raw column shots (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_weapons_raw column hits_left_arm (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_weapons_raw column hits_right_arm (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_weapons_raw column hits_chest (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_weapons_raw column hits_stomach (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_weapons_raw column hits_left_leg (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_weapons_raw column hits_right_leg (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_weapons_raw column hits_head (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_weapons_raw column sprays (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_weapons_raw column spray_hits (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_weapons_raw column sprays_left_arm (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_weapons_raw column sprays_right_arm (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_weapons_raw column sprays_chest (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_weapons_raw column sprays_stomach (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_weapons_raw column sprays_left_leg (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_weapons_raw column sprays_right_leg (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_weapons_raw column sprays_head (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_weapons_raw column damage_dealt (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_weapons_raw column buys (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_weapons_raw column drops (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_weapons_raw column pickups (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_weapons_raw column damage_received (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_weapons_raw column profitability (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_weapons_raw column weapon_shots_while_opponent_spotted (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_weapons_raw column weapon_hits_while_opponent_spotted (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_weapons_raw column crosshair_placement (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_weapons_raw column tap_shots (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_weapons_raw column tap_hits (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_weapons_raw column weapon_shots_opponent_not_seeing (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_round_weapons_raw column weapon_hits_opponent_not_seeing (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_player_strengths_and_weaknesses column coach_player_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_player_strengths_and_weaknesses column skill (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_player_strengths_and_weaknesses column score (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table events column id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table events column name (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table events column important (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table events column date_from (type DATETIME[19]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table events column date_to (type DATETIME[19]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table events column prize (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table events column prize_currency (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table events column location (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table events column location_type (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table challenge_types column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table challenge_types column name (type VARCHAR[50]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table skills column id (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table skills column name (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_notifications column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_notifications column user_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_notifications column notification_type (type ENUM[8]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_notifications column is_read (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_notifications column inserted_date (type TIMESTAMP[19]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_notifications column generated_by_user_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table average_training_result column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table average_training_result column platform (type VARCHAR[20]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table average_training_result column player_rank (type VARCHAR[50]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table average_training_result column avg_training_kills (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table average_training_result column kills_90_quantile (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table average_training_result column training_time (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table average_training_result column avg_training_time (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table average_training_result column training_time_90_quantile (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table average_training_result column matches_played (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table average_training_result column avg_matches_played (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table average_training_result column matches_played_90_quantile (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table financial_subscription_breakdown column id (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table financial_subscription_breakdown column payment_date (type DATE[10]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table financial_subscription_breakdown column type (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table financial_subscription_breakdown column spreaded_payment (type FLOAT[12]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table financial_subscription_breakdown column cashflow_amount (type FLOAT[12]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_utilities_raw column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_utilities_raw column coach_match_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_utilities_raw column coach_player_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_utilities_raw column round (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_utilities_raw column utility_type (type ENUM[7]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_utilities_raw column position_x (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_utilities_raw column position_y (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_utilities_raw column position_z (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_utilities_raw column origin_x (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_utilities_raw column origin_y (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_utilities_raw column origin_z (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_fun_facts column id (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_fun_facts column coach_match_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_fun_facts column coach_player_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_fun_facts column fun_fact (type TEXT[65535]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_predefined_training_levels column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_predefined_training_levels column primary_role (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_predefined_training_levels column level (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_advanced_stats_v2 column coach_match_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_advanced_stats_v2 column coach_player_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_advanced_stats_v2 column aim (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_advanced_stats_v2 column pistol (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_advanced_stats_v2 column rifle (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_advanced_stats_v2 column sniping (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_advanced_stats_v2 column utilities (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_advanced_stats_v2 column teamplay (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_advanced_stats_v2 column movement (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_flicks column id (type BIGINT[19]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_flicks column coach_match_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_flicks column coach_player_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_flicks column time (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_flicks column flick (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_flicks column direction_x (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_flicks column direction_y (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_flicks column scoped (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_flicks column weapon_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_flicks column hit (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_v2_level_segments column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_v2_level_segments column user_training_v2_level_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_v2_level_segments column current_progress (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_v2_level_segments column name (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_v2_level_segments column is_done (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_v2_level_segments column user_training_stats_per_level_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_rounds_results column id (type BIGINT[19]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_rounds_results column match_map_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_rounds_results column round (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_rounds_results column winner_team_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_rounds_results column reason (type ENUM[9]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_rounds_results column mvp_player_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_rounds_results column player_defused_bomb_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_follow_suggestions column user_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_follow_suggestions column to_follow_user_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table challenge_maps column map_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table challenge_maps column challenge_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_v2_level_segment_unit_start_sessions column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_v2_level_segment_unit_start_sessions column user_training_v2_level_segment_unit_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_v2_level_segment_unit_start_sessions column server_ip (type VARCHAR[15]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_training_v2_level_segment_unit_start_sessions column inserted_date (type TIMESTAMP[19]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column coach_match_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column coach_player_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column team_side (type VARCHAR[2]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column nickname (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column player_country (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column avatar (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column player_rank (type VARCHAR[20]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column faceit_elo (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column faceit_player_id (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column first_round_side (type VARCHAR[2]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column bomb_planted (type TINYINT[3]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column site_plants (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column mvps (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column traded (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column headshot_kills (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column opening_kills (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column opening_deaths (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column no_kills (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column multiple_kills (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column kast (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column rounds_played (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column own_damage (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column team_hurt (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column team_kills (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column exit_kills (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column flashed_deaths (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column flash_assists (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column kills_flashed (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column bomb_plants (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column clutch_plants (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column bomb_defuses (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column clutch_defuses (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column kills_after_fake (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column deaths_no_seeing (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column adr (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column rating (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column t_rating (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column kills (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column deaths (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column assists (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column trade_kills (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column clutch_kills (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column dmg_dealt (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column team_players_hurt (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column self_kills (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column deaths_flashed (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column bombs_defused (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column fake_plants (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column fake_defuses (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column got_flashed (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column opponents_flashed (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column kills_to_flashed (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column kills_to_not_seeing (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column first_see_in_seconds (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column first_contact_in_seconds (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column avg_death_time (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column opponents_hurt (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column dmg_sources (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column flashed (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column flashes_caused (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column avg_distance_covered (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column avg_distance_towards_enemy (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column avg_distance_in_right_dir (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column avg_distance_from_team (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column avg_equipment_value (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column cash_spent (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column cash_earned (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column site_changes (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column scoped_battles_won (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column scoped_battles_lost (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column first_to_see (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column first_damages (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column number_of_possessed_awp (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column dies_unscoped (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column dies_knife_nade (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column early_distance (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column ct_rating (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column rifler (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column support (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column awper (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column entry_fragger (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column lurker (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column rifle_accuracy (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column rifle_accuracy_spotted (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column rifle_shots_to_kill (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column rifle_crosshair_placement (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column rifle_hs_rate (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column rifle_shots_spotted_to_shots (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column awp_accuracy (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column awp_accuracy_spotted (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column awp_shots_to_kill (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column awp_crosshair_placement (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column scoped_weapon_kills (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column utilities_used (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column utilities_dmg (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column flash_efficiency (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column he_efficiency (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column smoke_efficiency (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column early_utilities (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column knife_kills (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column avg_reaction_time (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column opponents_flashed_time (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column flashes_thrown (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column flashed_teammates_time (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column flashes_leading_to_kill (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column utility_value_at_death (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column rifle_strafing (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column rifle_sprays_while_opponent_spotted (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column rifle_spray_hits_while_opponent_spotted (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column rifle_good_hits_while_opponent_spotted (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column rifle_weapon_shots_while_opponent_spotted (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column rifle_weapon_hits_while_opponent_spotted (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column rifle_kills (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column rifle_hs_kills (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column sniper_hs_kills (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column sniper_kills (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column sniper_weapon_hits_while_opponent_spotted (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column sniper_weapon_shots_while_opponent_spotted (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column sniper_good_hits_while_opponent_spotted (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column sniper_strafing (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column sniper_crosshair_placement (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column weapon_shots (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column weapon_hits (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column weapon_shots_spotted (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column weapon_hits_spotted (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column smoke_quality (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column smoke_throw (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column molo_quality (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column molo_throw (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_lineups column weapon_drops (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table average_stats_for_rank_v2 column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table average_stats_for_rank_v2 column player_rank (type VARCHAR[50]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table average_stats_for_rank_v2 column platform (type VARCHAR[50]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table average_stats_for_rank_v2 column stat_name (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table average_stats_for_rank_v2 column stat_value (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table training_v2_unit_benchmarks column skill (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table training_v2_unit_benchmarks column unit (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table training_v2_unit_benchmarks column criteria (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table training_v2_unit_benchmarks column percentile (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table training_v2_unit_benchmarks column value (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_rifle_crosshair_placement column coach_match_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_rifle_crosshair_placement column match_platform (type VARCHAR[50]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_rifle_crosshair_placement column match_date (type TIMESTAMP[19]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_rifle_crosshair_placement column coach_player_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_rifle_crosshair_placement column player_rank (type VARCHAR[20]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_rifle_crosshair_placement column rifle_crosshair_placement (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_rating_dates column id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_rating_dates column rating_date (type DATE[10]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table players_with_ranking column id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table players_with_ranking column nick (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table players_with_ranking column name (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table players_with_ranking column surname (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table players_with_ranking column country (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table players_with_ranking column team_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table players_with_ranking column photo (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table players_with_ranking column bodyshot (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table players_with_ranking column birth_year (type YEAR[4]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table players_with_ranking column login (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table players_with_ranking column rating_value (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table players_with_ranking column ranking_position (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table players_with_ranking column last_rating_value (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table players_with_ranking column last_ranking_position (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_sniper_strafing column coach_match_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_sniper_strafing column match_platform (type VARCHAR[50]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_sniper_strafing column match_date (type TIMESTAMP[19]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_sniper_strafing column coach_player_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_sniper_strafing column player_rank (type VARCHAR[20]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table platform_rank_sniper_strafing column sniper_strafing (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table advanced_stats_percentiles column stat_id (type VARCHAR[50]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table advanced_stats_percentiles column perc2 (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table advanced_stats_percentiles column perc3 (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table advanced_stats_percentiles column perc4 (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table advanced_stats_percentiles column perc5 (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table advanced_stats_percentiles column perc6 (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table advanced_stats_percentiles column perc7 (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table advanced_stats_percentiles column perc8 (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table advanced_stats_percentiles column perc9 (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table advanced_stats_percentiles column perc10 (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column name (type VARCHAR[150]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column weapon_category_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column available_for_team (type ENUM[3]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column price (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column kill_award (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column max_speed (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column rate_of_fire (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column damage (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column dps (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column armor_penetration (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column penetration (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column max_range (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column clip_size (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column max_ammo (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column reload_clip_ready (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column reload_fire_ready (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column recoil (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column recoil_vertical (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column recoil_horizontal (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column spread (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column spread_run (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column spread_stand (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column spread_crouch (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column game_entity_id (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column range_modifier (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column cycle_time (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column weapon_range (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column weapon_class (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column full_auto (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column bullets (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column tracer_frequency (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column flinch_velocity_modifier_large (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column flinch_velocity_modifier_small (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column inaccuracy_crouch (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column inaccuracy_stand (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column inaccuracy_fire (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column inaccuracy_move (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column inaccuracy_jump (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column inaccuracy_jump_initial (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column inaccuracy_land (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column inaccuracy_ladder (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column recovery_time_crouch (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column recovery_time_crouch_final (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column recovery_time_stand (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column recovery_time_stand_final (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column recoil_variance_alt (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column recoil_magnitude (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column recoil_magnitude_variance (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column spread_alt (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column inaccuracy_crouch_alt (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column inaccuracy_stand_alt (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column inaccuracy_fire_alt (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column inaccuracy_move_alt (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column inaccuracy_jump_alt (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column inaccuracy_land_alt (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column inaccuracy_ladder_alt (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column recoil_magnitude_alt (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column recoil_magnitude_variance_alt (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column max_player_speed_alt (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column tracer_frequency_alt (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column zoom_fov (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column zoom_fov_alt (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column cycle_time_alt (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column cycle_time_burst (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapons column time_in_between_burst_shots (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_trainings column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_trainings column user_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_trainings column platform (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_trainings column primary_role (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_trainings column secondary_role (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_trainings column rank_target (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_trainings column inserted_date (type TIMESTAMP[19]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_single_match_sub_stats_v2 column coach_match_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_single_match_sub_stats_v2 column coach_player_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_single_match_sub_stats_v2 column sub_stat (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_single_match_sub_stats_v2 column score (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_mentor_player_rounds column coach_match_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_mentor_player_rounds column match_round (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_mentor_player_rounds column round_json (type MEDIUMTEXT[16777215]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table improvement_statistics_users column coach_player_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table role_to_stat column role (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table role_to_stat column stat (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_flicks column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_flicks column match_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_flicks column player_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_flicks column time (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_flicks column flick (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_flicks column direction_x (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_flicks column direction_y (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_flicks column scoped (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_flicks column weapon_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_flicks column hit (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapon_recoils column id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapon_recoils column weapon_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapon_recoils column shot (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapon_recoils column control_x (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapon_recoils column control_y (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table weapon_recoils column scoped (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_leaderboards column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_leaderboards column inserted_date (type DATE[10]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_leaderboards column user_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_leaderboards column total_kills (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_leaderboards column total_time (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_leaderboards column server_type_id (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_leaderboards column deleted (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_characteristics_raw column id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_characteristics_raw column team_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_characteristics_raw column defence (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_characteristics_raw column offence (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_characteristics_raw column speed_style (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_characteristics_raw column retakes (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_characteristics_raw column utility_usage (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_characteristics_raw column sniping (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_characteristics_raw column pistol_rounds (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_characteristics_raw column using_player_advantage (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_characteristics_raw column clutch_plays (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_characteristics_raw column comebacks (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_characteristics_raw column holding_onto_the_lead (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_characteristics_raw column trading_deaths (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_characteristics_raw column opening_kills (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_characteristics_raw column positioning (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_characteristics_raw column defence_against_snipers (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_characteristics_raw column offence_against_snipers (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_characteristics_raw column aggression (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_characteristics_raw column defensive_offensive_rating (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_characteristics_raw column sniper_dependency (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_characteristics_raw column utilities_usage (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_characteristics_raw column focusing_style (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_characteristics_raw column positioning_style (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table team_characteristics_raw column player_dependency (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_positions column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_positions column coach_match_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_positions column coach_player_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_positions column json_data (type LONGTEXT[2147483647]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_kills column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_kills column match_map_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_kills column killing_player_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_kills column killed_player_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_kills column round (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_kills column killed_position_x (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_kills column killed_position_y (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_kills column killed_position_z (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_kills column killed_by_bomb (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_kills column weapon_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_kills column assisting_player_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_kills column killer_position_x (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_kills column killer_position_y (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_kills column killer_position_z (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_challenges column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_challenges column challenge_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_challenges column user_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_challenges column progress (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_challenges column inserted_date (type TIMESTAMP[19]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table user_challenges column finished_date (type TIMESTAMP[19]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table matches column id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table matches column left_team_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table matches column right_team_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table matches column left_team_score (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table matches column right_team_score (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table matches column event_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table matches column match_date (type DATETIME[19]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table matches column match_state (type ENUM[10]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table game_modes column id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table game_modes column mode (type TEXT[65535]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table server_types column id (type INT[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table server_types column name (type VARCHAR[50]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table users_view column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table users_view column login (type VARCHAR[150]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table users_view column faceit_rank (type VARCHAR[20]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table users_view column steam_rank (type VARCHAR[20]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table users_view column esportal_rank (type VARCHAR[20]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table players column id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table players column nick (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table players column name (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table players column surname (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table players column country (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table players column team_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table players column photo (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table players column bodyshot (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table players column birth_year (type YEAR[4]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table players column login (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_advanced_stats column match_map_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_advanced_stats column player_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_advanced_stats column aggression (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_advanced_stats column positioning (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_advanced_stats column aiming (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_advanced_stats column gamepace (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_advanced_stats column responsiveness (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_advanced_stats column utilitiesusage (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_advanced_stats column sniping (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_advanced_stats column clutch (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_advanced_stats column teamplay (type DOUBLE UNSIGNED[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table teams column id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table teams column name (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table teams column country (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table teams column logo (type VARCHAR[20]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table teams column color (type VARCHAR[7]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table teams column total_matches (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table teams column total_wins (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table teams column last_results (type VARCHAR[5]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_overall_statistics column id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_overall_statistics column match_map_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_overall_statistics column player_id (type INT UNSIGNED[10]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_overall_statistics column aggression (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_overall_statistics column positioning (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_overall_statistics column aiming (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_overall_statistics column game_pace (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_overall_statistics column responsiveness (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_overall_statistics column utilities_usage (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_overall_statistics column sniping (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_overall_statistics column clutch (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table match_map_player_overall_statistics column team_play (type DOUBLE[22]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_strengths_and_weaknesses_v2 column id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_strengths_and_weaknesses_v2 column coach_match_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_strengths_and_weaknesses_v2 column coach_player_id (type BIGINT UNSIGNED[20]) -> JsonSchemaType({type=number})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_strengths_and_weaknesses_v2 column is_strength (type BIT[1]) -> JsonSchemaType({type=boolean})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.j.AbstractJdbcSource(lambda$discoverInternal$5):138 - Table coach_match_strengths_and_weaknesses_v2 column skill (type VARCHAR[255]) -> JsonSchemaType({type=string})
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.s.m.MySqlCdcTargetPosition(targetPosition):61 - Target File position : FileName: mysql-bin.000025, Position : 598409053
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.d.AirbyteDebeziumHandler(getIncrementalIterators):72 - using CDC: true
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO o.a.k.c.c.AbstractConfig(logAll):354 - EmbeddedConfig values: 
2022-06-07 16:05:15 source > 	access.control.allow.methods = 
2022-06-07 16:05:15 source > 	access.control.allow.origin = 
2022-06-07 16:05:15 source > 	admin.listeners = null
2022-06-07 16:05:15 source > 	bootstrap.servers = [localhost:9092]
2022-06-07 16:05:15 source > 	client.dns.lookup = use_all_dns_ips
2022-06-07 16:05:15 source > 	config.providers = []
2022-06-07 16:05:15 source > 	connector.client.config.override.policy = None
2022-06-07 16:05:15 source > 	header.converter = class org.apache.kafka.connect.storage.SimpleHeaderConverter
2022-06-07 16:05:15 source > 	internal.key.converter = class org.apache.kafka.connect.json.JsonConverter
2022-06-07 16:05:15 source > 	internal.value.converter = class org.apache.kafka.connect.json.JsonConverter
2022-06-07 16:05:15 source > 	key.converter = class org.apache.kafka.connect.json.JsonConverter
2022-06-07 16:05:15 source > 	listeners = null
2022-06-07 16:05:15 source > 	metric.reporters = []
2022-06-07 16:05:15 source > 	metrics.num.samples = 2
2022-06-07 16:05:15 source > 	metrics.recording.level = INFO
2022-06-07 16:05:15 source > 	metrics.sample.window.ms = 30000
2022-06-07 16:05:15 source > 	offset.flush.interval.ms = 1000
2022-06-07 16:05:15 source > 	offset.flush.timeout.ms = 5000
2022-06-07 16:05:15 source > 	offset.storage.file.filename = /tmp/cdc-state-offset11107893818786874643/offset.dat
2022-06-07 16:05:15 source > 	offset.storage.partitions = null
2022-06-07 16:05:15 source > 	offset.storage.replication.factor = null
2022-06-07 16:05:15 source > 	offset.storage.topic = 
2022-06-07 16:05:15 source > 	plugin.path = null
2022-06-07 16:05:15 source > 	response.http.headers.config = 
2022-06-07 16:05:15 source > 	rest.advertised.host.name = null
2022-06-07 16:05:15 source > 	rest.advertised.listener = null
2022-06-07 16:05:15 source > 	rest.advertised.port = null
2022-06-07 16:05:15 source > 	rest.extension.classes = []
2022-06-07 16:05:15 source > 	rest.host.name = null
2022-06-07 16:05:15 source > 	rest.port = 8083
2022-06-07 16:05:15 source > 	ssl.cipher.suites = null
2022-06-07 16:05:15 source > 	ssl.client.auth = none
2022-06-07 16:05:15 source > 	ssl.enabled.protocols = [TLSv1.2, TLSv1.3]
2022-06-07 16:05:15 source > 	ssl.endpoint.identification.algorithm = https
2022-06-07 16:05:15 source > 	ssl.engine.factory.class = null
2022-06-07 16:05:15 source > 	ssl.key.password = null
2022-06-07 16:05:15 source > 	ssl.keymanager.algorithm = SunX509
2022-06-07 16:05:15 source > 	ssl.keystore.location = null
2022-06-07 16:05:15 source > 	ssl.keystore.password = null
2022-06-07 16:05:15 source > 	ssl.keystore.type = JKS
2022-06-07 16:05:15 source > 	ssl.protocol = TLSv1.3
2022-06-07 16:05:15 source > 	ssl.provider = null
2022-06-07 16:05:15 source > 	ssl.secure.random.implementation = null
2022-06-07 16:05:15 source > 	ssl.trustmanager.algorithm = PKIX
2022-06-07 16:05:15 source > 	ssl.truststore.location = null
2022-06-07 16:05:15 source > 	ssl.truststore.password = null
2022-06-07 16:05:15 source > 	ssl.truststore.type = JKS
2022-06-07 16:05:15 source > 	task.shutdown.graceful.timeout.ms = 5000
2022-06-07 16:05:15 source > 	topic.creation.enable = true
2022-06-07 16:05:15 source > 	topic.tracking.allow.reset = true
2022-06-07 16:05:15 source > 	topic.tracking.enable = true
2022-06-07 16:05:15 source > 	value.converter = class org.apache.kafka.connect.json.JsonConverter
2022-06-07 16:05:15 INFO i.a.v.j.JsonSchemaValidator(test):71 - JSON schema validation failed. 
errors: $: unknown found, object expected
2022-06-07 16:05:15 ERROR i.a.w.i.DefaultAirbyteStreamFactory(lambda$create$1):70 - Validation failed: null
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 WARN o.a.k.c.r.WorkerConfig(logPluginPathConfigProviderWarning):420 - Variables cannot be used in the 'plugin.path' property, since the property is used by plugin scanning before the config providers that replace the variables are initialized. The raw value 'null' was used for plugin scanning, as opposed to the transformed value 'null', and this may cause unexpected results.
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 WARN i.d.c.Configuration(lambda$getFallbackStringProperty$34):2135 - Using configuration property "table.blacklist" is deprecated and will be removed in future versions. Please use "table.exclude.list" instead.
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 WARN i.d.c.Configuration(lambda$getFallbackStringProperty$34):2135 - Using configuration property "table.blacklist" is deprecated and will be removed in future versions. Please use "table.exclude.list" instead.
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 WARN i.d.c.Configuration(lambda$getFallbackStringProperty$34):2135 - Using configuration property "database.blacklist" is deprecated and will be removed in future versions. Please use "database.exclude.list" instead.
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 WARN i.d.c.Configuration(lambda$getFallbackStringProperty$34):2135 - Using configuration property "database.blacklist" is deprecated and will be removed in future versions. Please use "database.exclude.list" instead.
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 WARN i.d.c.Configuration(lambda$getFallbackStringProperty$34):2135 - Using configuration property "column.whitelist" is deprecated and will be removed in future versions. Please use "column.include.list" instead.
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 WARN i.d.c.Configuration(lambda$getFallbackStringProperty$34):2135 - Using configuration property "column.blacklist" is deprecated and will be removed in future versions. Please use "column.exclude.list" instead.
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 WARN i.d.c.Configuration(lambda$getFallbackStringProperty$34):2135 - Using configuration property "column.whitelist" is deprecated and will be removed in future versions. Please use "column.include.list" instead.
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 WARN i.d.c.Configuration(lambda$getFallbackStringProperty$34):2135 - Using configuration property "column.blacklist" is deprecated and will be removed in future versions. Please use "column.exclude.list" instead.
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 WARN i.d.c.Configuration(lambda$getFallbackStringProperty$34):2135 - Using configuration property "column.whitelist" is deprecated and will be removed in future versions. Please use "column.include.list" instead.
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 WARN i.d.c.Configuration(lambda$getFallbackStringProperty$34):2135 - Using configuration property "column.blacklist" is deprecated and will be removed in future versions. Please use "column.exclude.list" instead.
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.d.c.c.BaseSourceTask(start):100 - Starting MySqlConnectorTask with configuration:
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.d.c.c.BaseSourceTask(lambda$start$0):102 -    connector.class = io.debezium.connector.mysql.MySqlConnector
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.d.c.c.BaseSourceTask(lambda$start$0):102 -    snapshot.locking.mode = none
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.d.c.c.BaseSourceTask(lambda$start$0):102 -    max.queue.size = 8192
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.d.c.c.BaseSourceTask(lambda$start$0):102 -    include.schema.changes = false
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.d.c.c.BaseSourceTask(lambda$start$0):102 -    binary.handling.mode = base64
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.d.c.c.BaseSourceTask(lambda$start$0):102 -    offset.storage.file.filename = /tmp/cdc-state-offset11107893818786874643/offset.dat
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.d.c.c.BaseSourceTask(lambda$start$0):102 -    decimal.handling.mode = string
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.d.c.c.BaseSourceTask(lambda$start$0):102 -    converters = boolean, datetime
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.d.c.c.BaseSourceTask(lambda$start$0):102 -    datetime.type = io.airbyte.integrations.debezium.internals.MySQLConverter
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.d.c.c.BaseSourceTask(lambda$start$0):102 -    database.history.file.filename = /tmp/cdc-db-history14579740483159328267/dbhistory.dat
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.d.c.c.BaseSourceTask(lambda$start$0):102 -    database.user = ggpredict_replication_user
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.d.c.c.BaseSourceTask(lambda$start$0):102 -    database.dbname = ggpredict
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.d.c.c.BaseSourceTask(lambda$start$0):102 -    offset.storage = org.apache.kafka.connect.storage.FileOffsetBackingStore
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.d.c.c.BaseSourceTask(lambda$start$0):102 -    boolean.type = io.debezium.connector.mysql.converters.TinyIntOneToBooleanConverter
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.d.c.c.BaseSourceTask(lambda$start$0):102 -    database.server.name = ggpredict
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.d.c.c.BaseSourceTask(lambda$start$0):102 -    database.port = 42117
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.d.c.c.BaseSourceTask(lambda$start$0):102 -    offset.flush.interval.ms = 1000
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.d.c.c.BaseSourceTask(lambda$start$0):102 -    key.converter.schemas.enable = false
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.d.c.c.BaseSourceTask(lambda$start$0):102 -    database.hostname = 127.0.0.1
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.d.c.c.BaseSourceTask(lambda$start$0):102 -    database.password = ********
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.d.c.c.BaseSourceTask(lambda$start$0):102 -    name = ggpredict
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.d.c.c.BaseSourceTask(lambda$start$0):102 -    value.converter.schemas.enable = false
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.d.c.c.BaseSourceTask(lambda$start$0):102 -    max.batch.size = 2048
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.d.c.c.BaseSourceTask(lambda$start$0):102 -    table.include.list = ggpredict.challenge_maps,ggpredict.challenge_types,ggpredict.challenge_weapons,ggpredict.challenges,ggpredict.coach_match_advanced_stats,ggpredict.coach_match_advanced_stats_v2,ggpredict.coach_match_lineups,ggpredict.coach_match_missplays_in_rounds,ggpredict.coach_match_sub_stats,ggpredict.coach_match_sub_stats_v2,ggpredict.coach_matches,ggpredict.coach_players,ggpredict.missplays,ggpredict.user_challenges,ggpredict.user_matches,ggpredict.user_server_live_stats,ggpredict.user_server_stats,ggpredict.user_server_weapon_stats,ggpredict.user_training_v2_level_segment_unit_start_sessions,ggpredict.user_training_v2_level_segment_unit_stats,ggpredict.user_training_v2_level_segment_units,ggpredict.user_training_v2_level_segments,ggpredict.user_training_v2_levels,ggpredict.user_training_v2_streaks,ggpredict.user_training_v2_unit_tags,ggpredict.users
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.d.c.c.BaseSourceTask(lambda$start$0):102 -    snapshot.mode = initial
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.d.c.c.BaseSourceTask(lambda$start$0):102 -    database.history = io.airbyte.integrations.debezium.internals.FilteredFileDatabaseHistory
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.d.c.c.BaseSourceTask(lambda$start$0):102 -    database.include.list = ggpredict
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 WARN i.d.c.Configuration(lambda$getFallbackStringProperty$34):2135 - Using configuration property "database.blacklist" is deprecated and will be removed in future versions. Please use "database.exclude.list" instead.
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 WARN i.d.c.Configuration(lambda$getFallbackStringProperty$34):2135 - Using configuration property "table.blacklist" is deprecated and will be removed in future versions. Please use "table.exclude.list" instead.
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 WARN i.d.c.Configuration(lambda$getFallbackStringProperty$34):2135 - Using configuration property "column.blacklist" is deprecated and will be removed in future versions. Please use "column.exclude.list" instead.
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.d.c.c.BaseSourceTask(stop):192 - Stopping down connector
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.d.c.m.MySqlConnectorTask(doStop):453 - Stopping MySQL connector task
2022-06-07 16:05:15 source > 2022-06-07 16:05:15 INFO i.a.i.d.i.DebeziumRecordPublisher(lambda$start$1):85 - Debezium engine shutdown.
2022-06-07 16:05:16 destination > 2022-06-07 16:05:16 INFO i.a.i.d.b.BigQueryUtils(getLoadingMethod):306 - Selected loading method is set to: STANDARD
2022-06-07 16:05:16 destination > 2022-06-07 16:05:16 INFO i.a.i.d.b.BigQueryUtils(createPartitionedTable):131 - Partitioned table created successfully: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=ggpredict_airbyte, tableId=_airbyte_tmp_qaq_challenge_weapons}}
2022-06-07 16:05:16 destination > 2022-06-07 16:05:16 INFO i.a.i.d.b.BigQueryUtils(getLoadingMethod):306 - Selected loading method is set to: STANDARD
2022-06-07 16:05:17 destination > 2022-06-07 16:05:17 INFO i.a.i.d.b.BigQueryUtils(createPartitionedTable):131 - Partitioned table created successfully: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=ggpredict_airbyte, tableId=_airbyte_tmp_brj_challenges}}
2022-06-07 16:05:17 destination > 2022-06-07 16:05:17 INFO i.a.i.d.b.BigQueryUtils(getLoadingMethod):306 - Selected loading method is set to: STANDARD
2022-06-07 16:05:18 destination > 2022-06-07 16:05:18 INFO i.a.i.d.b.BigQueryUtils(createPartitionedTable):131 - Partitioned table created successfully: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=ggpredict_airbyte, tableId=_airbyte_tmp_qws_coach_match_advanced_stats}}
2022-06-07 16:05:18 destination > 2022-06-07 16:05:18 INFO i.a.i.d.b.BigQueryUtils(getLoadingMethod):306 - Selected loading method is set to: STANDARD
2022-06-07 16:05:18 destination > 2022-06-07 16:05:18 INFO i.a.i.d.b.BigQueryUtils(createPartitionedTable):131 - Partitioned table created successfully: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=ggpredict_airbyte, tableId=_airbyte_tmp_gzg_coach_match_advanced_stats_v2}}
2022-06-07 16:05:19 destination > 2022-06-07 16:05:19 INFO i.a.i.d.b.BigQueryUtils(getLoadingMethod):306 - Selected loading method is set to: STANDARD
2022-06-07 16:05:19 destination > 2022-06-07 16:05:19 INFO i.a.i.d.b.BigQueryUtils(createPartitionedTable):131 - Partitioned table created successfully: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=ggpredict_airbyte, tableId=_airbyte_tmp_pis_coach_match_lineups}}
2022-06-07 16:05:19 destination > 2022-06-07 16:05:19 INFO i.a.i.d.b.BigQueryUtils(getLoadingMethod):306 - Selected loading method is set to: STANDARD
2022-06-07 16:05:20 destination > 2022-06-07 16:05:20 INFO i.a.i.d.b.BigQueryUtils(createPartitionedTable):131 - Partitioned table created successfully: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=ggpredict_airbyte, tableId=_airbyte_tmp_ast_coach_match_missplays_in_rounds}}
2022-06-07 16:05:20 destination > 2022-06-07 16:05:20 INFO i.a.i.d.b.BigQueryUtils(getLoadingMethod):306 - Selected loading method is set to: STANDARD
2022-06-07 16:05:20 destination > 2022-06-07 16:05:20 INFO i.a.i.d.b.BigQueryUtils(createPartitionedTable):131 - Partitioned table created successfully: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=ggpredict_airbyte, tableId=_airbyte_tmp_ubt_coach_match_sub_stats}}
2022-06-07 16:05:21 destination > 2022-06-07 16:05:21 INFO i.a.i.d.b.BigQueryUtils(getLoadingMethod):306 - Selected loading method is set to: STANDARD
2022-06-07 16:05:21 destination > 2022-06-07 16:05:21 INFO i.a.i.d.b.BigQueryUtils(createPartitionedTable):131 - Partitioned table created successfully: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=ggpredict_airbyte, tableId=_airbyte_tmp_tbp_coach_match_sub_stats_v2}}
2022-06-07 16:05:21 destination > 2022-06-07 16:05:21 INFO i.a.i.d.b.BigQueryUtils(getLoadingMethod):306 - Selected loading method is set to: STANDARD
2022-06-07 16:05:22 destination > 2022-06-07 16:05:22 INFO i.a.i.d.b.BigQueryUtils(createPartitionedTable):131 - Partitioned table created successfully: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=ggpredict_airbyte, tableId=_airbyte_tmp_klg_coach_matches}}
2022-06-07 16:05:22 destination > 2022-06-07 16:05:22 INFO i.a.i.d.b.BigQueryUtils(getLoadingMethod):306 - Selected loading method is set to: STANDARD
2022-06-07 16:05:22 destination > 2022-06-07 16:05:22 INFO i.a.i.d.b.BigQueryUtils(createPartitionedTable):131 - Partitioned table created successfully: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=ggpredict_airbyte, tableId=_airbyte_tmp_usi_coach_players}}
2022-06-07 16:05:23 destination > 2022-06-07 16:05:23 INFO i.a.i.d.b.BigQueryUtils(getLoadingMethod):306 - Selected loading method is set to: STANDARD
2022-06-07 16:05:23 destination > 2022-06-07 16:05:23 INFO i.a.i.d.b.BigQueryUtils(createPartitionedTable):131 - Partitioned table created successfully: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=ggpredict_airbyte, tableId=_airbyte_tmp_zyj_missplays}}
2022-06-07 16:05:24 destination > 2022-06-07 16:05:24 INFO i.a.i.d.b.BigQueryUtils(getLoadingMethod):306 - Selected loading method is set to: STANDARD
2022-06-07 16:05:24 destination > 2022-06-07 16:05:24 INFO i.a.i.d.b.BigQueryUtils(createPartitionedTable):131 - Partitioned table created successfully: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=ggpredict_airbyte, tableId=_airbyte_tmp_rgt_user_challenges}}
2022-06-07 16:05:24 destination > 2022-06-07 16:05:24 INFO i.a.i.d.b.BigQueryUtils(getLoadingMethod):306 - Selected loading method is set to: STANDARD
2022-06-07 16:05:25 destination > 2022-06-07 16:05:25 INFO i.a.i.d.b.BigQueryUtils(createPartitionedTable):131 - Partitioned table created successfully: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=ggpredict_airbyte, tableId=_airbyte_tmp_mjb_user_matches}}
2022-06-07 16:05:25 destination > 2022-06-07 16:05:25 INFO i.a.i.d.b.BigQueryUtils(getLoadingMethod):306 - Selected loading method is set to: STANDARD
2022-06-07 16:05:25 destination > 2022-06-07 16:05:25 INFO i.a.i.d.b.BigQueryUtils(createPartitionedTable):131 - Partitioned table created successfully: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=ggpredict_airbyte, tableId=_airbyte_tmp_nwu_user_server_live_stats}}
2022-06-07 16:05:26 destination > 2022-06-07 16:05:26 INFO i.a.i.d.b.BigQueryUtils(getLoadingMethod):306 - Selected loading method is set to: STANDARD
2022-06-07 16:05:26 destination > 2022-06-07 16:05:26 INFO i.a.i.d.b.BigQueryUtils(createPartitionedTable):131 - Partitioned table created successfully: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=ggpredict_airbyte, tableId=_airbyte_tmp_vro_user_server_stats}}
2022-06-07 16:05:26 destination > 2022-06-07 16:05:26 INFO i.a.i.d.b.BigQueryUtils(getLoadingMethod):306 - Selected loading method is set to: STANDARD
2022-06-07 16:05:27 destination > 2022-06-07 16:05:27 INFO i.a.i.d.b.BigQueryUtils(createPartitionedTable):131 - Partitioned table created successfully: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=ggpredict_airbyte, tableId=_airbyte_tmp_hsb_user_server_weapon_stats}}
2022-06-07 16:05:27 destination > 2022-06-07 16:05:27 INFO i.a.i.d.b.BigQueryUtils(getLoadingMethod):306 - Selected loading method is set to: STANDARD
2022-06-07 16:05:27 destination > 2022-06-07 16:05:27 INFO i.a.i.d.b.BigQueryUtils(createPartitionedTable):131 - Partitioned table created successfully: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=ggpredict_airbyte, tableId=_airbyte_tmp_yer_user_training_v2_level_segment_unit_start_sessions}}
2022-06-07 16:05:28 destination > 2022-06-07 16:05:28 INFO i.a.i.d.b.BigQueryUtils(getLoadingMethod):306 - Selected loading method is set to: STANDARD
2022-06-07 16:05:28 destination > 2022-06-07 16:05:28 INFO i.a.i.d.b.BigQueryUtils(createPartitionedTable):131 - Partitioned table created successfully: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=ggpredict_airbyte, tableId=_airbyte_tmp_sgj_user_training_v2_level_segment_unit_stats}}
2022-06-07 16:05:28 destination > 2022-06-07 16:05:28 INFO i.a.i.d.b.BigQueryUtils(getLoadingMethod):306 - Selected loading method is set to: STANDARD
2022-06-07 16:05:29 destination > 2022-06-07 16:05:29 INFO i.a.i.d.b.BigQueryUtils(createPartitionedTable):131 - Partitioned table created successfully: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=ggpredict_airbyte, tableId=_airbyte_tmp_trj_user_training_v2_level_segment_units}}
2022-06-07 16:05:29 destination > 2022-06-07 16:05:29 INFO i.a.i.d.b.BigQueryUtils(getLoadingMethod):306 - Selected loading method is set to: STANDARD
2022-06-07 16:05:29 destination > 2022-06-07 16:05:29 INFO i.a.i.d.b.BigQueryUtils(createPartitionedTable):131 - Partitioned table created successfully: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=ggpredict_airbyte, tableId=_airbyte_tmp_xpr_user_training_v2_level_segments}}
2022-06-07 16:05:30 destination > 2022-06-07 16:05:30 INFO i.a.i.d.b.BigQueryUtils(getLoadingMethod):306 - Selected loading method is set to: STANDARD
2022-06-07 16:05:30 destination > 2022-06-07 16:05:30 INFO i.a.i.d.b.BigQueryUtils(createPartitionedTable):131 - Partitioned table created successfully: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=ggpredict_airbyte, tableId=_airbyte_tmp_ydn_user_training_v2_levels}}
2022-06-07 16:05:30 destination > 2022-06-07 16:05:30 INFO i.a.i.d.b.BigQueryUtils(getLoadingMethod):306 - Selected loading method is set to: STANDARD
2022-06-07 16:05:31 destination > 2022-06-07 16:05:31 INFO i.a.i.d.b.BigQueryUtils(createPartitionedTable):131 - Partitioned table created successfully: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=ggpredict_airbyte, tableId=_airbyte_tmp_vkt_user_training_v2_streaks}}
2022-06-07 16:05:31 destination > 2022-06-07 16:05:31 INFO i.a.i.d.b.BigQueryUtils(getLoadingMethod):306 - Selected loading method is set to: STANDARD
2022-06-07 16:05:31 destination > 2022-06-07 16:05:31 INFO i.a.i.d.b.BigQueryUtils(createPartitionedTable):131 - Partitioned table created successfully: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=ggpredict_airbyte, tableId=_airbyte_tmp_mpn_user_training_v2_unit_tags}}
2022-06-07 16:05:32 destination > 2022-06-07 16:05:32 INFO i.a.i.d.b.BigQueryUtils(getLoadingMethod):306 - Selected loading method is set to: STANDARD
2022-06-07 16:05:32 destination > 2022-06-07 16:05:32 INFO i.a.i.d.b.BigQueryUtils(createPartitionedTable):131 - Partitioned table created successfully: GenericData{classInfo=[datasetId, projectId, tableId], {datasetId=ggpredict_airbyte, tableId=_airbyte_tmp_prk_users}}
2022-06-07 16:09:56 INFO i.a.w.t.TemporalAttemptExecution(lambda$getCancellationChecker$3):194 - Running sync worker cancellation...
2022-06-07 16:09:56 INFO i.a.w.g.DefaultReplicationWorker(cancel):433 - Cancelling replication worker...
2022-06-07 16:10:06 INFO i.a.w.g.DefaultReplicationWorker(cancel):441 - Cancelling destination...
2022-06-07 16:10:06 INFO i.a.w.i.DefaultAirbyteDestination(cancel):125 - Attempting to cancel destination process...
2022-06-07 16:10:06 INFO i.a.w.i.DefaultAirbyteDestination(cancel):130 - Destination process exists, cancelling...
2022-06-07 16:10:06 INFO i.a.w.g.DefaultReplicationWorker(run):174 - One of source or destination thread complete. Waiting on the other.
2022-06-07 16:10:06 WARN i.a.c.i.LineGobbler(voidCall):86 - airbyte-destination gobbler IOException: Stream closed. Typically happens when cancelling a job.
2022-06-07 16:10:06 INFO i.a.w.i.DefaultAirbyteDestination(cancel):132 - Cancelled destination process!
2022-06-07 16:10:06 INFO i.a.w.g.DefaultReplicationWorker(cancel):448 - Cancelling source...
2022-06-07 16:10:06 INFO i.a.w.i.DefaultAirbyteSource(cancel):142 - Attempting to cancel source process...
2022-06-07 16:10:06 INFO i.a.w.i.DefaultAirbyteSource(cancel):147 - Source process exists, cancelling...
2022-06-07 16:10:09 INFO i.a.w.g.DefaultReplicationWorker(run):176 - Source and destination threads complete.
2022-06-07 16:10:09 INFO i.a.w.i.DefaultAirbyteSource(cancel):149 - Cancelled source process!
2022-06-07 16:10:09 INFO i.a.w.t.TemporalAttemptExecution(lambda$getCancellationChecker$3):198 - Interrupting worker thread...
2022-06-07 16:10:09 INFO i.a.w.t.TemporalAttemptExecution(lambda$getCancellationChecker$3):201 - Cancelling completable future...
2022-06-07 16:10:09 WARN i.a.w.t.CancellationHandler$TemporalCancellationHandler(checkAndHandleCancellation):53 - Job either timed out or was cancelled.
2022-06-07 16:10:09 INFO i.a.w.t.TemporalAttemptExecution(get):134 - Stopping cancellation check scheduling...
2022-06-07 16:10:09 WARN i.a.w.t.CancellationHandler$TemporalCancellationHandler(checkAndHandleCancellation):53 - Job either timed out or was cancelled.
2022-06-07 16:10:09 INFO i.a.w.t.TemporalUtils(withBackgroundHeartbeat):236 - Stopping temporal heartbeating...
2022-06-07 16:10:09 ERROR i.a.w.g.DefaultReplicationWorker(run):180 - Sync worker failed.
io.airbyte.workers.exception.WorkerException: Source process exit with code 143. This warning is normal if the job was cancelled.
	at io.airbyte.workers.internal.DefaultAirbyteSource.close(DefaultAirbyteSource.java:136) ~[io.airbyte-airbyte-workers-0.39.10-alpha.jar:?]
	at io.airbyte.workers.general.DefaultReplicationWorker.run(DefaultReplicationWorker.java:178) ~[io.airbyte-airbyte-workers-0.39.10-alpha.jar:?]
	at io.airbyte.workers.general.DefaultReplicationWorker.run(DefaultReplicationWorker.java:65) ~[io.airbyte-airbyte-workers-0.39.10-alpha.jar:?]
	at io.airbyte.workers.temporal.TemporalAttemptExecution.lambda$getWorkerThread$2(TemporalAttemptExecution.java:158) ~[io.airbyte-airbyte-workers-0.39.10-alpha.jar:?]
	at java.lang.Thread.run(Thread.java:833) [?:?]
	Suppressed: io.airbyte.workers.exception.WorkerException: Destination process exit with code 1. This warning is normal if the job was cancelled.
		at io.airbyte.workers.internal.DefaultAirbyteDestination.close(DefaultAirbyteDestination.java:119) ~[io.airbyte-airbyte-workers-0.39.10-alpha.jar:?]
		at io.airbyte.workers.general.DefaultReplicationWorker.run(DefaultReplicationWorker.java:137) ~[io.airbyte-airbyte-workers-0.39.10-alpha.jar:?]
		at io.airbyte.workers.general.DefaultReplicationWorker.run(DefaultReplicationWorker.java:65) ~[io.airbyte-airbyte-workers-0.39.10-alpha.jar:?]
		at io.airbyte.workers.temporal.TemporalAttemptExecution.lambda$getWorkerThread$2(TemporalAttemptExecution.java:158) ~[io.airbyte-airbyte-workers-0.39.10-alpha.jar:?]
		at java.lang.Thread.run(Thread.java:833) [?:?]
2022-06-07 16:10:09 INFO i.a.w.g.DefaultReplicationWorker(run):239 - sync summary: io.airbyte.config.ReplicationAttemptSummary@4ceabe31[status=cancelled,recordsSynced=0,bytesSynced=0,startTime=1654617906666,endTime=1654618209382,totalStats=io.airbyte.config.SyncStats@3eddd03d[recordsEmitted=0,bytesEmitted=0,stateMessagesEmitted=0,recordsCommitted=0],streamStats=[]]
2022-06-07 16:10:09 WARN i.t.i.a.POJOActivityTaskHandler(activityFailureToResult):307 - Activity failure. ActivityId=3aef4fde-fb1a-30ab-b424-4c862331ff39, activityType=Replicate, attempt=1
java.lang.RuntimeException: java.util.concurrent.CancellationException
	at io.airbyte.workers.temporal.TemporalUtils.withBackgroundHeartbeat(TemporalUtils.java:234) ~[io.airbyte-airbyte-workers-0.39.10-alpha.jar:?]
	at io.airbyte.workers.temporal.sync.ReplicationActivityImpl.replicate(ReplicationActivityImpl.java:111) ~[io.airbyte-airbyte-workers-0.39.10-alpha.jar:?]
	at jdk.internal.reflect.GeneratedMethodAccessor389.invoke(Unknown Source) ~[?:?]
	at jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) ~[?:?]
	at java.lang.reflect.Method.invoke(Method.java:568) ~[?:?]
	at io.temporal.internal.activity.POJOActivityTaskHandler$POJOActivityInboundCallsInterceptor.execute(POJOActivityTaskHandler.java:214) ~[temporal-sdk-1.8.1.jar:?]
	at io.temporal.internal.activity.POJOActivityTaskHandler$POJOActivityImplementation.execute(POJOActivityTaskHandler.java:180) ~[temporal-sdk-1.8.1.jar:?]
	at io.temporal.internal.activity.POJOActivityTaskHandler.handle(POJOActivityTaskHandler.java:120) ~[temporal-sdk-1.8.1.jar:?]
	at io.temporal.internal.worker.ActivityWorker$TaskHandlerImpl.handle(ActivityWorker.java:204) ~[temporal-sdk-1.8.1.jar:?]
	at io.temporal.internal.worker.ActivityWorker$TaskHandlerImpl.handle(ActivityWorker.java:164) ~[temporal-sdk-1.8.1.jar:?]
	at io.temporal.internal.worker.PollTaskExecutor.lambda$process$0(PollTaskExecutor.java:93) ~[temporal-sdk-1.8.1.jar:?]
	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1136) [?:?]
	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:635) [?:?]
	at java.lang.Thread.run(Thread.java:833) [?:?]
Caused by: java.util.concurrent.CancellationException
	at java.util.concurrent.CompletableFuture.cancel(CompletableFuture.java:2478) ~[?:?]
	at io.airbyte.workers.temporal.TemporalAttemptExecution.lambda$getCancellationChecker$3(TemporalAttemptExecution.java:204) ~[io.airbyte-airbyte-workers-0.39.10-alpha.jar:?]
	at io.airbyte.workers.temporal.CancellationHandler$TemporalCancellationHandler.checkAndHandleCancellation(CancellationHandler.java:52) ~[io.airbyte-airbyte-workers-0.39.10-alpha.jar:?]
	at io.airbyte.workers.temporal.TemporalAttemptExecution.lambda$getCancellationChecker$4(TemporalAttemptExecution.java:207) ~[io.airbyte-airbyte-workers-0.39.10-alpha.jar:?]
	at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:539) ~[?:?]
	at java.util.concurrent.FutureTask.runAndReset(FutureTask.java:305) ~[?:?]
	at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:305) ~[?:?]
	... 3 more
2022-06-07 16:10:09 INFO i.a.w.g.DefaultReplicationWorker(run):268 - Source did not output any state messages
2022-06-07 16:10:09 WARN i.a.w.g.DefaultReplicationWorker(run):279 - State capture: No state retained.