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Posted to builds@beam.apache.org by Apache Jenkins Server <je...@builds.apache.org> on 2020/11/04 19:17:36 UTC

Build failed in Jenkins: beam_PostCommit_Python36 #3131

See <https://ci-beam.apache.org/job/beam_PostCommit_Python36/3131/display/redirect?page=changes>

Changes:

[noreply] [BEAM-11091] Allow to specify coder for HadoopFormatIO.Read (#13166)

[noreply] [BEAM-11162] Fetch missing projectId from options (#13234)


------------------------------------------
[...truncated 25.23 MB...]
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apache_beam.runners.dataflow.internal.apiclient: INFO: Create job: <Job
 createTime: '2020-11-04T18:05:15.801682Z'
 currentStateTime: '1970-01-01T00:00:00Z'
 id: '2020-11-04_10_05_06-3554662521326524400'
 location: 'us-central1'
 name: 'beamapp-jenkins-1104180457-568357'
 projectId: 'apache-beam-testing'
 stageStates: []
 startTime: '2020-11-04T18:05:15.801682Z'
 steps: []
 tempFiles: []
 type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
apache_beam.runners.dataflow.internal.apiclient: INFO: Created job with id: [2020-11-04_10_05_06-3554662521326524400]
apache_beam.runners.dataflow.internal.apiclient: INFO: Submitted job: 2020-11-04_10_05_06-3554662521326524400
apache_beam.runners.dataflow.internal.apiclient: INFO: To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2020-11-04_10_05_06-3554662521326524400?project=apache-beam-testing
apache_beam.runners.dataflow.dataflow_runner: INFO: Job 2020-11-04_10_05_06-3554662521326524400 is in state JOB_STATE_RUNNING
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-11-04T18:05:19.109Z: JOB_MESSAGE_BASIC: Worker configuration: n1-standard-4 in us-central1-f.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-11-04T18:05:20.710Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-11-04T18:05:20.747Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-11-04T18:05:20.840Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-11-04T18:05:20.978Z: JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into optimizable parts.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-11-04T18:05:21.006Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write steps
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-11-04T18:05:21.170Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-11-04T18:05:21.206Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-11-04T18:05:21.227Z: JOB_MESSAGE_DETAILED: Fusing consumer CalculateUserScores/LeaderboardUserGlobalWindows into AddEventTimestamps
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-11-04T18:05:21.259Z: JOB_MESSAGE_DETAILED: Fusing consumer CalculateTeamScores/LeaderboardTeamFixedWindows into AddEventTimestamps
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-11-04T18:05:21.293Z: JOB_MESSAGE_DETAILED: Fusing consumer DecodeString into ReadPubSub/Read
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-11-04T18:05:21.326Z: JOB_MESSAGE_DETAILED: Fusing consumer ParseGameEventFn into DecodeString
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-11-04T18:05:21.362Z: JOB_MESSAGE_DETAILED: Fusing consumer AddEventTimestamps into ParseGameEventFn
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-11-04T18:05:21.396Z: JOB_MESSAGE_DETAILED: Fusing consumer CalculateTeamScores/ExtractAndSumScore/Map(<lambda at leader_board.py:155>) into CalculateTeamScores/LeaderboardTeamFixedWindows
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-11-04T18:05:21.434Z: JOB_MESSAGE_DETAILED: Fusing consumer CalculateTeamScores/ExtractAndSumScore/CombinePerKey(sum)/GroupByKey/WriteStream into CalculateTeamScores/ExtractAndSumScore/Map(<lambda at leader_board.py:155>)
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-11-04T18:05:21.467Z: JOB_MESSAGE_DETAILED: Fusing consumer CalculateTeamScores/ExtractAndSumScore/CombinePerKey(sum)/GroupByKey/MergeBuckets into CalculateTeamScores/ExtractAndSumScore/CombinePerKey(sum)/GroupByKey/ReadStream
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-11-04T18:05:21.499Z: JOB_MESSAGE_DETAILED: Fusing consumer CalculateTeamScores/ExtractAndSumScore/CombinePerKey(sum)/Combine into CalculateTeamScores/ExtractAndSumScore/CombinePerKey(sum)/GroupByKey/MergeBuckets
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-11-04T18:05:21.534Z: JOB_MESSAGE_DETAILED: Fusing consumer TeamScoresDict into CalculateTeamScores/ExtractAndSumScore/CombinePerKey(sum)/Combine
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-11-04T18:05:21.558Z: JOB_MESSAGE_DETAILED: Fusing consumer WriteTeamScoreSums/ConvertToRow into TeamScoresDict
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-11-04T18:05:21.592Z: JOB_MESSAGE_DETAILED: Fusing consumer WriteTeamScoreSums/WriteToBigQuery/_StreamToBigQuery/AppendDestination into WriteTeamScoreSums/ConvertToRow
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-11-04T18:05:21.614Z: JOB_MESSAGE_DETAILED: Fusing consumer WriteTeamScoreSums/WriteToBigQuery/_StreamToBigQuery/AddInsertIdsWithRandomKeys into WriteTeamScoreSums/WriteToBigQuery/_StreamToBigQuery/AppendDestination
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-11-04T18:05:21.647Z: JOB_MESSAGE_DETAILED: Fusing consumer WriteTeamScoreSums/WriteToBigQuery/_StreamToBigQuery/CommitInsertIds/Map(reify_timestamps) into WriteTeamScoreSums/WriteToBigQuery/_StreamToBigQuery/AddInsertIdsWithRandomKeys
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-11-04T18:05:21.668Z: JOB_MESSAGE_DETAILED: Fusing consumer WriteTeamScoreSums/WriteToBigQuery/_StreamToBigQuery/CommitInsertIds/GroupByKey/WriteStream into WriteTeamScoreSums/WriteToBigQuery/_StreamToBigQuery/CommitInsertIds/Map(reify_timestamps)
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-11-04T18:05:21.701Z: JOB_MESSAGE_DETAILED: Fusing consumer WriteTeamScoreSums/WriteToBigQuery/_StreamToBigQuery/CommitInsertIds/GroupByKey/MergeBuckets into WriteTeamScoreSums/WriteToBigQuery/_StreamToBigQuery/CommitInsertIds/GroupByKey/ReadStream
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-11-04T18:05:21.737Z: JOB_MESSAGE_DETAILED: Fusing consumer WriteTeamScoreSums/WriteToBigQuery/_StreamToBigQuery/CommitInsertIds/FlatMap(restore_timestamps) into WriteTeamScoreSums/WriteToBigQuery/_StreamToBigQuery/CommitInsertIds/GroupByKey/MergeBuckets
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-11-04T18:05:21.760Z: JOB_MESSAGE_DETAILED: Fusing consumer WriteTeamScoreSums/WriteToBigQuery/_StreamToBigQuery/DropShard into WriteTeamScoreSums/WriteToBigQuery/_StreamToBigQuery/CommitInsertIds/FlatMap(restore_timestamps)
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-11-04T18:05:21.784Z: JOB_MESSAGE_DETAILED: Fusing consumer WriteTeamScoreSums/WriteToBigQuery/_StreamToBigQuery/StreamInsertRows/ParDo(BigQueryWriteFn) into WriteTeamScoreSums/WriteToBigQuery/_StreamToBigQuery/DropShard
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-11-04T18:05:21.830Z: JOB_MESSAGE_DETAILED: Fusing consumer CalculateUserScores/ExtractAndSumScore/Map(<lambda at leader_board.py:155>) into CalculateUserScores/LeaderboardUserGlobalWindows
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-11-04T18:05:21.864Z: JOB_MESSAGE_DETAILED: Fusing consumer CalculateUserScores/ExtractAndSumScore/CombinePerKey(sum)/GroupByKey/WriteStream into CalculateUserScores/ExtractAndSumScore/Map(<lambda at leader_board.py:155>)
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-11-04T18:05:21.904Z: JOB_MESSAGE_DETAILED: Fusing consumer CalculateUserScores/ExtractAndSumScore/CombinePerKey(sum)/GroupByKey/MergeBuckets into CalculateUserScores/ExtractAndSumScore/CombinePerKey(sum)/GroupByKey/ReadStream
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-11-04T18:05:21.929Z: JOB_MESSAGE_DETAILED: Fusing consumer CalculateUserScores/ExtractAndSumScore/CombinePerKey(sum)/Combine into CalculateUserScores/ExtractAndSumScore/CombinePerKey(sum)/GroupByKey/MergeBuckets
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-11-04T18:05:21.968Z: JOB_MESSAGE_DETAILED: Fusing consumer FormatUserScoreSums into CalculateUserScores/ExtractAndSumScore/CombinePerKey(sum)/Combine
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-11-04T18:05:22.003Z: JOB_MESSAGE_DETAILED: Fusing consumer WriteUserScoreSums/ConvertToRow into FormatUserScoreSums
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-11-04T18:05:22.033Z: JOB_MESSAGE_DETAILED: Fusing consumer WriteUserScoreSums/WriteToBigQuery/_StreamToBigQuery/AppendDestination into WriteUserScoreSums/ConvertToRow
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-11-04T18:05:22.069Z: JOB_MESSAGE_DETAILED: Fusing consumer WriteUserScoreSums/WriteToBigQuery/_StreamToBigQuery/AddInsertIdsWithRandomKeys into WriteUserScoreSums/WriteToBigQuery/_StreamToBigQuery/AppendDestination
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-11-04T18:05:22.090Z: JOB_MESSAGE_DETAILED: Fusing consumer WriteUserScoreSums/WriteToBigQuery/_StreamToBigQuery/CommitInsertIds/Map(reify_timestamps) into WriteUserScoreSums/WriteToBigQuery/_StreamToBigQuery/AddInsertIdsWithRandomKeys
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-11-04T18:05:22.134Z: JOB_MESSAGE_DETAILED: Fusing consumer WriteUserScoreSums/WriteToBigQuery/_StreamToBigQuery/CommitInsertIds/GroupByKey/WriteStream into WriteUserScoreSums/WriteToBigQuery/_StreamToBigQuery/CommitInsertIds/Map(reify_timestamps)
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-11-04T18:05:22.171Z: JOB_MESSAGE_DETAILED: Fusing consumer WriteUserScoreSums/WriteToBigQuery/_StreamToBigQuery/CommitInsertIds/GroupByKey/MergeBuckets into WriteUserScoreSums/WriteToBigQuery/_StreamToBigQuery/CommitInsertIds/GroupByKey/ReadStream
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-11-04T18:05:22.199Z: JOB_MESSAGE_DETAILED: Fusing consumer WriteUserScoreSums/WriteToBigQuery/_StreamToBigQuery/CommitInsertIds/FlatMap(restore_timestamps) into WriteUserScoreSums/WriteToBigQuery/_StreamToBigQuery/CommitInsertIds/GroupByKey/MergeBuckets
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-11-04T18:05:22.235Z: JOB_MESSAGE_DETAILED: Fusing consumer WriteUserScoreSums/WriteToBigQuery/_StreamToBigQuery/DropShard into WriteUserScoreSums/WriteToBigQuery/_StreamToBigQuery/CommitInsertIds/FlatMap(restore_timestamps)
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-11-04T18:05:22.266Z: JOB_MESSAGE_DETAILED: Fusing consumer WriteUserScoreSums/WriteToBigQuery/_StreamToBigQuery/StreamInsertRows/ParDo(BigQueryWriteFn) into WriteUserScoreSums/WriteToBigQuery/_StreamToBigQuery/DropShard
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-11-04T18:05:22.311Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-11-04T18:05:22.346Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-11-04T18:05:22.380Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-11-04T18:05:22.405Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-11-04T18:05:22.578Z: JOB_MESSAGE_DEBUG: Executing wait step start41
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-11-04T18:05:22.681Z: JOB_MESSAGE_BASIC: Executing operation WriteUserScoreSums/WriteToBigQuery/_StreamToBigQuery/CommitInsertIds/GroupByKey/ReadStream+WriteUserScoreSums/WriteToBigQuery/_StreamToBigQuery/CommitInsertIds/GroupByKey/MergeBuckets+WriteUserScoreSums/WriteToBigQuery/_StreamToBigQuery/CommitInsertIds/FlatMap(restore_timestamps)+WriteUserScoreSums/WriteToBigQuery/_StreamToBigQuery/DropShard+WriteUserScoreSums/WriteToBigQuery/_StreamToBigQuery/StreamInsertRows/ParDo(BigQueryWriteFn)
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-11-04T18:05:22.714Z: JOB_MESSAGE_BASIC: Executing operation CalculateUserScores/ExtractAndSumScore/CombinePerKey(sum)/GroupByKey/ReadStream+CalculateUserScores/ExtractAndSumScore/CombinePerKey(sum)/GroupByKey/MergeBuckets+CalculateUserScores/ExtractAndSumScore/CombinePerKey(sum)/Combine+FormatUserScoreSums+WriteUserScoreSums/ConvertToRow+WriteUserScoreSums/WriteToBigQuery/_StreamToBigQuery/AppendDestination+WriteUserScoreSums/WriteToBigQuery/_StreamToBigQuery/AddInsertIdsWithRandomKeys+WriteUserScoreSums/WriteToBigQuery/_StreamToBigQuery/CommitInsertIds/Map(reify_timestamps)+WriteUserScoreSums/WriteToBigQuery/_StreamToBigQuery/CommitInsertIds/GroupByKey/WriteStream
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-11-04T18:05:22.725Z: JOB_MESSAGE_DEBUG: Starting worker pool setup.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-11-04T18:05:22.754Z: JOB_MESSAGE_BASIC: Executing operation WriteTeamScoreSums/WriteToBigQuery/_StreamToBigQuery/CommitInsertIds/GroupByKey/ReadStream+WriteTeamScoreSums/WriteToBigQuery/_StreamToBigQuery/CommitInsertIds/GroupByKey/MergeBuckets+WriteTeamScoreSums/WriteToBigQuery/_StreamToBigQuery/CommitInsertIds/FlatMap(restore_timestamps)+WriteTeamScoreSums/WriteToBigQuery/_StreamToBigQuery/DropShard+WriteTeamScoreSums/WriteToBigQuery/_StreamToBigQuery/StreamInsertRows/ParDo(BigQueryWriteFn)
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-11-04T18:05:22.765Z: JOB_MESSAGE_BASIC: Starting 1 workers in us-central1-f...
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-11-04T18:05:22.791Z: JOB_MESSAGE_BASIC: Executing operation CalculateTeamScores/ExtractAndSumScore/CombinePerKey(sum)/GroupByKey/ReadStream+CalculateTeamScores/ExtractAndSumScore/CombinePerKey(sum)/GroupByKey/MergeBuckets+CalculateTeamScores/ExtractAndSumScore/CombinePerKey(sum)/Combine+TeamScoresDict+WriteTeamScoreSums/ConvertToRow+WriteTeamScoreSums/WriteToBigQuery/_StreamToBigQuery/AppendDestination+WriteTeamScoreSums/WriteToBigQuery/_StreamToBigQuery/AddInsertIdsWithRandomKeys+WriteTeamScoreSums/WriteToBigQuery/_StreamToBigQuery/CommitInsertIds/Map(reify_timestamps)+WriteTeamScoreSums/WriteToBigQuery/_StreamToBigQuery/CommitInsertIds/GroupByKey/WriteStream
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-11-04T18:05:22.835Z: JOB_MESSAGE_BASIC: Executing operation ReadPubSub/Read+DecodeString+ParseGameEventFn+AddEventTimestamps+CalculateUserScores/LeaderboardUserGlobalWindows+CalculateTeamScores/LeaderboardTeamFixedWindows+CalculateTeamScores/ExtractAndSumScore/Map(<lambda at leader_board.py:155>)+CalculateTeamScores/ExtractAndSumScore/CombinePerKey(sum)/GroupByKey/WriteStream+CalculateUserScores/ExtractAndSumScore/Map(<lambda at leader_board.py:155>)+CalculateUserScores/ExtractAndSumScore/CombinePerKey(sum)/GroupByKey/WriteStream
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-11-04T18:05:46.293Z: JOB_MESSAGE_BASIC: Your project already contains 100 Dataflow-created metric descriptors, so new user metrics of the form custom.googleapis.com/* will not be created. However, all user metrics are also available in the metric dataflow.googleapis.com/job/user_counter. If you rely on the custom metrics, you can delete old / unused metric descriptors. See https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.list and https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.delete
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-11-04T18:06:24.289Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of workers to 1 so that the pipeline can catch up with its backlog and keep up with its input rate.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-11-04T18:07:01.137Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
apache_beam.runners.dataflow.dataflow_runner: INFO: 2020-11-04T18:07:01.185Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
apache_beam.runners.dataflow.dataflow_runner: WARNING: Timing out on waiting for job 2020-11-04_10_05_06-3554662521326524400 after 604 seconds
apache_beam.io.gcp.tests.bigquery_matcher: INFO: Attempting to perform query SELECT total_score FROM `apache-beam-testing.leader_board_it_dataset16045130883056.leader_board_users` WHERE total_score=5000 LIMIT 1 to BQ
google.auth._default: DEBUG: Checking None for explicit credentials as part of auth process...
google.auth._default: DEBUG: Checking Cloud SDK credentials as part of auth process...
google.auth._default: DEBUG: Cloud SDK credentials not found on disk; not using them
google.auth._default: DEBUG: Checking for App Engine runtime as part of auth process...
google.auth._default: DEBUG: No App Engine library was found so cannot authentication via App Engine Identity Credentials.
google.auth.transport._http_client: DEBUG: Making request: GET http://169.254.169.254
google.auth.transport._http_client: DEBUG: Making request: GET http://metadata.google.internal/computeMetadata/v1/project/project-id
urllib3.util.retry: DEBUG: Converted retries value: 3 -> Retry(total=3, connect=None, read=None, redirect=None, status=None)
google.auth.transport.requests: DEBUG: Making request: GET http://metadata.google.internal/computeMetadata/v1/instance/service-accounts/default/?recursive=true
urllib3.connectionpool: DEBUG: Starting new HTTP connection (1): metadata.google.internal:80
urllib3.connectionpool: DEBUG: http://metadata.google.internal:80 "GET /computeMetadata/v1/instance/service-accounts/default/?recursive=true HTTP/1.1" 200 144
google.auth.transport.requests: DEBUG: Making request: GET http://metadata.google.internal/computeMetadata/v1/instance/service-accounts/844138762903-compute@developer.gserviceaccount.com/token?scopes=https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fbigquery%2Chttps%3A%2F%2Fwww.googleapis.com%2Fauth%2Fcloud-platform
urllib3.connectionpool: DEBUG: http://metadata.google.internal:80 "GET /computeMetadata/v1/instance/service-accounts/844138762903-compute@developer.gserviceaccount.com/token?scopes=https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fbigquery%2Chttps%3A%2F%2Fwww.googleapis.com%2Fauth%2Fcloud-platform HTTP/1.1" 200 241
urllib3.connectionpool: DEBUG: Starting new HTTPS connection (1): bigquery.googleapis.com:443
urllib3.connectionpool: DEBUG: https://bigquery.googleapis.com:443 "POST /bigquery/v2/projects/apache-beam-testing/jobs?prettyPrint=false HTTP/1.1" 200 None
apache_beam.utils.retry: WARNING: Retry with exponential backoff: waiting for 4.267970070347655 seconds before retrying _query_with_retry because we caught exception: google.api_core.exceptions.NotFound: 404 Not found: Table apache-beam-testing:leader_board_it_dataset16045130883056.leader_board_users was not found in location US

(job ID: 373610f5-5615-4d12-8ccd-e5f831e32d43)

                                                     -----Query Job SQL Follows-----                                                      

    |    .    |    .    |    .    |    .    |    .    |    .    |    .    |    .    |    .    |    .    |    .    |    .    |    .    |
   1:SELECT total_score FROM `apache-beam-testing.leader_board_it_dataset16045130883056.leader_board_users` WHERE total_score=5000 LIMIT 1
    |    .    |    .    |    .    |    .    |    .    |    .    |    .    |    .    |    .    |    .    |    .    |    .    |    .    |
 Traceback for above exception (most recent call last):
  File "<https://ci-beam.apache.org/job/beam_PostCommit_Python36/ws/src/sdks/python/apache_beam/utils/retry.py",> line 260, in wrapper
    return fun(*args, **kwargs)
  File "<https://ci-beam.apache.org/job/beam_PostCommit_Python36/ws/src/sdks/python/apache_beam/io/gcp/tests/bigquery_matcher.py",> line 128, in _query_with_retry
    rows = query_job.result(timeout=60)
  File "<https://ci-beam.apache.org/job/beam_PostCommit_Python36/ws/src/build/gradleenv/-1734967053/lib/python3.6/site-packages/google/cloud/bigquery/job.py",> line 3230, in result
    super(QueryJob, self).result(retry=retry, timeout=timeout)
  File "<https://ci-beam.apache.org/job/beam_PostCommit_Python36/ws/src/build/gradleenv/-1734967053/lib/python3.6/site-packages/google/cloud/bigquery/job.py",> line 835, in result
    return super(_AsyncJob, self).result(timeout=timeout)
  File "<https://ci-beam.apache.org/job/beam_PostCommit_Python36/ws/src/build/gradleenv/-1734967053/lib/python3.6/site-packages/google/api_core/future/polling.py",> line 134, in result
    raise self._exception

apache_beam.io.gcp.tests.bigquery_matcher: INFO: Attempting to perform query SELECT total_score FROM `apache-beam-testing.leader_board_it_dataset16045130883056.leader_board_users` WHERE total_score=5000 LIMIT 1 to BQ
google.auth._default: DEBUG: Checking None for explicit credentials as part of auth process...
google.auth._default: DEBUG: Checking Cloud SDK credentials as part of auth process...
google.auth._default: DEBUG: Cloud SDK credentials not found on disk; not using them
google.auth._default: DEBUG: Checking for App Engine runtime as part of auth process...
google.auth._default: DEBUG: No App Engine library was found so cannot authentication via App Engine Identity Credentials.
google.auth.transport._http_client: DEBUG: Making request: GET http://169.254.169.254
google.auth.transport._http_client: DEBUG: Making request: GET http://metadata.google.internal/computeMetadata/v1/project/project-id
urllib3.util.retry: DEBUG: Converted retries value: 3 -> Retry(total=3, connect=None, read=None, redirect=None, status=None)
google.auth.transport.requests: DEBUG: Making request: GET http://metadata.google.internal/computeMetadata/v1/instance/service-accounts/default/?recursive=true
urllib3.connectionpool: DEBUG: Starting new HTTP connection (1): metadata.google.internal:80
urllib3.connectionpool: DEBUG: http://metadata.google.internal:80 "GET /computeMetadata/v1/instance/service-accounts/default/?recursive=true HTTP/1.1" 200 144
google.auth.transport.requests: DEBUG: Making request: GET http://metadata.google.internal/computeMetadata/v1/instance/service-accounts/844138762903-compute@developer.gserviceaccount.com/token?scopes=https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fbigquery%2Chttps%3A%2F%2Fwww.googleapis.com%2Fauth%2Fcloud-platform
urllib3.connectionpool: DEBUG: http://metadata.google.internal:80 "GET /computeMetadata/v1/instance/service-accounts/844138762903-compute@developer.gserviceaccount.com/token?scopes=https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fbigquery%2Chttps%3A%2F%2Fwww.googleapis.com%2Fauth%2Fcloud-platform HTTP/1.1" 200 241
urllib3.connectionpool: DEBUG: Starting new HTTPS connection (1): bigquery.googleapis.com:443
urllib3.connectionpool: DEBUG: https://bigquery.googleapis.com:443 "POST /bigquery/v2/projects/apache-beam-testing/jobs?prettyPrint=false HTTP/1.1" 200 None
apache_beam.utils.retry: WARNING: Retry with exponential backoff: waiting for 6.85193844426061 seconds before retrying _query_with_retry because we caught exception: google.api_core.exceptions.NotFound: 404 Not found: Table apache-beam-testing:leader_board_it_dataset16045130883056.leader_board_users was not found in location US

(job ID: 1dc68a27-cb9b-41bf-a9ed-9cd4bc8d4694)

                                                     -----Query Job SQL Follows-----                                                      

    |    .    |    .    |    .    |    .    |    .    |    .    |    .    |    .    |    .    |    .    |    .    |    .    |    .    |
   1:SELECT total_score FROM `apache-beam-testing.leader_board_it_dataset16045130883056.leader_board_users` WHERE total_score=5000 LIMIT 1
    |    .    |    .    |    .    |    .    |    .    |    .    |    .    |    .    |    .    |    .    |    .    |    .    |    .    |
 Traceback for above exception (most recent call last):
  File "<https://ci-beam.apache.org/job/beam_PostCommit_Python36/ws/src/sdks/python/apache_beam/utils/retry.py",> line 260, in wrapper
    return fun(*args, **kwargs)
  File "<https://ci-beam.apache.org/job/beam_PostCommit_Python36/ws/src/sdks/python/apache_beam/io/gcp/tests/bigquery_matcher.py",> line 128, in _query_with_retry
    rows = query_job.result(timeout=60)
  File "<https://ci-beam.apache.org/job/beam_PostCommit_Python36/ws/src/build/gradleenv/-1734967053/lib/python3.6/site-packages/google/cloud/bigquery/job.py",> line 3230, in result
    super(QueryJob, self).result(retry=retry, timeout=timeout)
  File "<https://ci-beam.apache.org/job/beam_PostCommit_Python36/ws/src/build/gradleenv/-1734967053/lib/python3.6/site-packages/google/cloud/bigquery/job.py",> line 835, in result
    return super(_AsyncJob, self).result(timeout=timeout)
  File "<https://ci-beam.apache.org/job/beam_PostCommit_Python36/ws/src/build/gradleenv/-1734967053/lib/python3.6/site-packages/google/api_core/future/polling.py",> line 134, in result
    raise self._exception

apache_beam.io.gcp.tests.bigquery_matcher: INFO: Attempting to perform query SELECT total_score FROM `apache-beam-testing.leader_board_it_dataset16045130883056.leader_board_users` WHERE total_score=5000 LIMIT 1 to BQ
google.auth._default: DEBUG: Checking None for explicit credentials as part of auth process...
google.auth._default: DEBUG: Checking Cloud SDK credentials as part of auth process...
google.auth._default: DEBUG: Cloud SDK credentials not found on disk; not using them
google.auth._default: DEBUG: Checking for App Engine runtime as part of auth process...
google.auth._default: DEBUG: No App Engine library was found so cannot authentication via App Engine Identity Credentials.
google.auth.transport._http_client: DEBUG: Making request: GET http://169.254.169.254
google.auth.transport._http_client: DEBUG: Making request: GET http://metadata.google.internal/computeMetadata/v1/project/project-id
urllib3.util.retry: DEBUG: Converted retries value: 3 -> Retry(total=3, connect=None, read=None, redirect=None, status=None)
google.auth.transport.requests: DEBUG: Making request: GET http://metadata.google.internal/computeMetadata/v1/instance/service-accounts/default/?recursive=true
urllib3.connectionpool: DEBUG: Starting new HTTP connection (1): metadata.google.internal:80
urllib3.connectionpool: DEBUG: http://metadata.google.internal:80 "GET /computeMetadata/v1/instance/service-accounts/default/?recursive=true HTTP/1.1" 200 144
google.auth.transport.requests: DEBUG: Making request: GET http://metadata.google.internal/computeMetadata/v1/instance/service-accounts/844138762903-compute@developer.gserviceaccount.com/token?scopes=https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fbigquery%2Chttps%3A%2F%2Fwww.googleapis.com%2Fauth%2Fcloud-platform
urllib3.connectionpool: DEBUG: http://metadata.google.internal:80 "GET /computeMetadata/v1/instance/service-accounts/844138762903-compute@developer.gserviceaccount.com/token?scopes=https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fbigquery%2Chttps%3A%2F%2Fwww.googleapis.com%2Fauth%2Fcloud-platform HTTP/1.1" 200 241
urllib3.connectionpool: DEBUG: Starting new HTTPS connection (1): bigquery.googleapis.com:443
urllib3.connectionpool: DEBUG: https://bigquery.googleapis.com:443 "POST /bigquery/v2/projects/apache-beam-testing/jobs?prettyPrint=false HTTP/1.1" 200 None
urllib3.connectionpool: DEBUG: https://bigquery.googleapis.com:443 "GET /bigquery/v2/projects/apache-beam-testing/queries/f3a82f03-9d43-4300-ba09-6ff508dd959b?maxResults=0&location=US&prettyPrint=false HTTP/1.1" 200 None
urllib3.connectionpool: DEBUG: https://bigquery.googleapis.com:443 "GET /bigquery/v2/projects/apache-beam-testing/datasets/_7357fab0f784d2a7327ddbe81cdd1f4ca7e429cd/tables/anon8e78e4ff_d156_4f83_b69a_dc4edf061f4b/data?prettyPrint=false HTTP/1.1" 200 None
apache_beam.io.gcp.tests.bigquery_matcher: INFO: Read from given query (SELECT total_score FROM `apache-beam-testing.leader_board_it_dataset16045130883056.leader_board_users` WHERE total_score=5000 LIMIT 1), total rows 0
apache_beam.io.gcp.tests.bigquery_matcher: INFO: Generate checksum: da39a3ee5e6b4b0d3255bfef95601890afd80709
google.auth._default: DEBUG: Checking None for explicit credentials as part of auth process...
google.auth._default: DEBUG: Checking Cloud SDK credentials as part of auth process...
google.auth._default: DEBUG: Cloud SDK credentials not found on disk; not using them
google.auth._default: DEBUG: Checking for App Engine runtime as part of auth process...
google.auth._default: DEBUG: No App Engine library was found so cannot authentication via App Engine Identity Credentials.
google.auth.transport._http_client: DEBUG: Making request: GET http://169.254.169.254
google.auth.transport._http_client: DEBUG: Making request: GET http://metadata.google.internal/computeMetadata/v1/project/project-id
urllib3.util.retry: DEBUG: Converted retries value: 3 -> Retry(total=3, connect=None, read=None, redirect=None, status=None)
google.auth.transport.requests: DEBUG: Making request: GET http://metadata.google.internal/computeMetadata/v1/instance/service-accounts/default/?recursive=true
urllib3.connectionpool: DEBUG: Starting new HTTP connection (1): metadata.google.internal:80
urllib3.connectionpool: DEBUG: http://metadata.google.internal:80 "GET /computeMetadata/v1/instance/service-accounts/default/?recursive=true HTTP/1.1" 200 144
google.auth.transport.requests: DEBUG: Making request: GET http://metadata.google.internal/computeMetadata/v1/instance/service-accounts/844138762903-compute@developer.gserviceaccount.com/token?scopes=https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fbigquery%2Chttps%3A%2F%2Fwww.googleapis.com%2Fauth%2Fcloud-platform
urllib3.connectionpool: DEBUG: http://metadata.google.internal:80 "GET /computeMetadata/v1/instance/service-accounts/844138762903-compute@developer.gserviceaccount.com/token?scopes=https%3A%2F%2Fwww.googleapis.com%2Fauth%2Fbigquery%2Chttps%3A%2F%2Fwww.googleapis.com%2Fauth%2Fcloud-platform HTTP/1.1" 200 241
urllib3.connectionpool: DEBUG: Starting new HTTPS connection (1): bigquery.googleapis.com:443
urllib3.connectionpool: DEBUG: https://bigquery.googleapis.com:443 "DELETE /bigquery/v2/projects/apache-beam-testing/datasets/leader_board_it_dataset16045130883056?deleteContents=true&prettyPrint=false HTTP/1.1" 200 None
--------------------- >> end captured logging << ---------------------

----------------------------------------------------------------------
XML: nosetests-postCommitIT-df-py36.xml
----------------------------------------------------------------------
XML: <https://ci-beam.apache.org/job/beam_PostCommit_Python36/ws/src/sdks/python/nosetests.xml>
----------------------------------------------------------------------
Ran 67 tests in 4377.814s

FAILED (SKIP=7, errors=1, failures=1)

> Task :sdks:python:test-suites:dataflow:py36:postCommitIT FAILED

FAILURE: Build failed with an exception.

* Where:
Script '<https://ci-beam.apache.org/job/beam_PostCommit_Python36/ws/src/sdks/python/test-suites/dataflow/common.gradle'> line: 118

* What went wrong:
Execution failed for task ':sdks:python:test-suites:dataflow:py36:postCommitIT'.
> Process 'command 'sh'' finished with non-zero exit value 1

* Try:
Run with --stacktrace option to get the stack trace. Run with --info or --debug option to get more log output. Run with --scan to get full insights.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with Gradle 7.0.
Use '--warning-mode all' to show the individual deprecation warnings.
See https://docs.gradle.org/6.6.1/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1h 16m 23s
174 actionable tasks: 132 executed, 38 from cache, 4 up-to-date

Publishing build scan...
https://gradle.com/s/ga7d6aibgn5um

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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