See 
<https://ci-beam.apache.org/job/beam_PostCommit_Python_Examples_Dataflow/869/display/redirect?page=changes>

Changes:

[noreply] [TPC-DS] Use common queries argument for Jenkins jobs (#23139)

[noreply] pubsublite: Reduce commit logspam (#22762)


------------------------------------------
[...truncated 59.73 KB...]
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 
2022-09-12T12:58:33.677Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey 
operations into optimizable parts.
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 
2022-09-12T12:58:33.710Z: JOB_MESSAGE_DEBUG: Combiner lifting skipped for step 
WriteUserScoreSums/WriteToBigQuery/_StreamToBigQuery/CommitInsertIds/GroupByKey:
 GroupByKey not followed by a combiner.
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 
2022-09-12T12:58:33.776Z: JOB_MESSAGE_DEBUG: Combiner lifting skipped for step 
WriteTeamScoreSums/WriteToBigQuery/_StreamToBigQuery/CommitInsertIds/GroupByKey:
 GroupByKey not followed by a combiner.
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 
2022-09-12T12:58:33.847Z: JOB_MESSAGE_DETAILED: Expanding 
SplittableProcessKeyed operations into optimizable parts.
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 
2022-09-12T12:58:33.877Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations 
into streaming Read/Write steps
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 
2022-09-12T12:58:34.050Z: JOB_MESSAGE_DETAILED: Lifting 
ValueCombiningMappingFns into MergeBucketsMappingFns
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 
2022-09-12T12:58:34.197Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner 
information.
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 
2022-09-12T12:58:34.239Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, 
Write, and Flatten operations
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 
2022-09-12T12:58:34.276Z: JOB_MESSAGE_DETAILED: Fusing consumer 
CalculateUserScores/LeaderboardUserGlobalWindows into AddEventTimestamps
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 
2022-09-12T12:58:34.297Z: JOB_MESSAGE_DETAILED: Fusing consumer 
CalculateTeamScores/LeaderboardTeamFixedWindows into AddEventTimestamps
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 
2022-09-12T12:58:34.330Z: JOB_MESSAGE_DETAILED: Fusing consumer DecodeString 
into ReadPubSub/Read
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 
2022-09-12T12:58:34.451Z: JOB_MESSAGE_DETAILED: Fusing consumer 
ParseGameEventFn into DecodeString
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 
2022-09-12T12:58:34.479Z: JOB_MESSAGE_DETAILED: Fusing consumer 
AddEventTimestamps into ParseGameEventFn
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 
2022-09-12T12:58:34.538Z: JOB_MESSAGE_DETAILED: Fusing consumer 
CalculateTeamScores/ExtractAndSumScore/Map(<lambda at leader_board.py:151>) 
into CalculateTeamScores/LeaderboardTeamFixedWindows
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 
2022-09-12T12:58:34.569Z: JOB_MESSAGE_DETAILED: Fusing consumer 
CalculateTeamScores/ExtractAndSumScore/CombinePerKey(sum)/Combine/ConvertToAccumulators
 into CalculateTeamScores/ExtractAndSumScore/Map(<lambda at 
leader_board.py:151>)
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 
2022-09-12T12:58:34.606Z: JOB_MESSAGE_DETAILED: Fusing consumer 
CalculateTeamScores/ExtractAndSumScore/CombinePerKey(sum)/GroupByKey/WriteStream
 into 
CalculateTeamScores/ExtractAndSumScore/CombinePerKey(sum)/Combine/ConvertToAccumulators
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 
2022-09-12T12:58:34.642Z: JOB_MESSAGE_DETAILED: Fusing consumer 
CalculateTeamScores/ExtractAndSumScore/CombinePerKey(sum)/Combine into 
CalculateTeamScores/ExtractAndSumScore/CombinePerKey(sum)/GroupByKey/ReadStream
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 
2022-09-12T12:58:34.674Z: JOB_MESSAGE_DETAILED: Fusing consumer 
CalculateTeamScores/ExtractAndSumScore/CombinePerKey(sum)/Combine/Extract into 
CalculateTeamScores/ExtractAndSumScore/CombinePerKey(sum)/Combine
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 
2022-09-12T12:58:34.709Z: JOB_MESSAGE_DETAILED: Fusing consumer TeamScoresDict 
into CalculateTeamScores/ExtractAndSumScore/CombinePerKey(sum)/Combine/Extract
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 
2022-09-12T12:58:34.744Z: JOB_MESSAGE_DETAILED: Fusing consumer 
WriteTeamScoreSums/ConvertToRow into TeamScoresDict
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 
2022-09-12T12:58:34.779Z: JOB_MESSAGE_DETAILED: Fusing consumer 
WriteTeamScoreSums/WriteToBigQuery/_StreamToBigQuery/AppendDestination into 
WriteTeamScoreSums/ConvertToRow
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 
2022-09-12T12:58:34.803Z: JOB_MESSAGE_DETAILED: Fusing consumer 
WriteTeamScoreSums/WriteToBigQuery/_StreamToBigQuery/AddInsertIds into 
WriteTeamScoreSums/WriteToBigQuery/_StreamToBigQuery/AppendDestination
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 
2022-09-12T12:58:34.836Z: JOB_MESSAGE_DETAILED: Fusing consumer 
WriteTeamScoreSums/WriteToBigQuery/_StreamToBigQuery/ToHashableTableRef into 
WriteTeamScoreSums/WriteToBigQuery/_StreamToBigQuery/AddInsertIds
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 
2022-09-12T12:58:34.870Z: JOB_MESSAGE_DETAILED: Fusing consumer 
WriteTeamScoreSums/WriteToBigQuery/_StreamToBigQuery/WithFixedSharding into 
WriteTeamScoreSums/WriteToBigQuery/_StreamToBigQuery/ToHashableTableRef
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 
2022-09-12T12:58:34.903Z: JOB_MESSAGE_DETAILED: Fusing consumer 
WriteTeamScoreSums/WriteToBigQuery/_StreamToBigQuery/CommitInsertIds/Map(reify_timestamps)
 into WriteTeamScoreSums/WriteToBigQuery/_StreamToBigQuery/WithFixedSharding
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 
2022-09-12T12:58:34.938Z: JOB_MESSAGE_DETAILED: Fusing consumer 
WriteTeamScoreSums/WriteToBigQuery/_StreamToBigQuery/CommitInsertIds/GroupByKey/WriteStream
 into 
WriteTeamScoreSums/WriteToBigQuery/_StreamToBigQuery/CommitInsertIds/Map(reify_timestamps)
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 
2022-09-12T12:58:34.972Z: JOB_MESSAGE_DETAILED: Fusing consumer 
WriteTeamScoreSums/WriteToBigQuery/_StreamToBigQuery/CommitInsertIds/GroupByKey/MergeBuckets
 into 
WriteTeamScoreSums/WriteToBigQuery/_StreamToBigQuery/CommitInsertIds/GroupByKey/ReadStream
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 
2022-09-12T12:58:34.996Z: JOB_MESSAGE_DETAILED: Fusing consumer 
WriteTeamScoreSums/WriteToBigQuery/_StreamToBigQuery/CommitInsertIds/FlatMap(restore_timestamps)
 into 
WriteTeamScoreSums/WriteToBigQuery/_StreamToBigQuery/CommitInsertIds/GroupByKey/MergeBuckets
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 
2022-09-12T12:58:35.028Z: JOB_MESSAGE_DETAILED: Fusing consumer 
WriteTeamScoreSums/WriteToBigQuery/_StreamToBigQuery/DropShard into 
WriteTeamScoreSums/WriteToBigQuery/_StreamToBigQuery/CommitInsertIds/FlatMap(restore_timestamps)
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 
2022-09-12T12:58:35.060Z: JOB_MESSAGE_DETAILED: Fusing consumer 
WriteTeamScoreSums/WriteToBigQuery/_StreamToBigQuery/FromHashableTableRef into 
WriteTeamScoreSums/WriteToBigQuery/_StreamToBigQuery/DropShard
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 
2022-09-12T12:58:35.095Z: JOB_MESSAGE_DETAILED: Fusing consumer 
WriteTeamScoreSums/WriteToBigQuery/_StreamToBigQuery/StreamInsertRows/ParDo(BigQueryWriteFn)
 into WriteTeamScoreSums/WriteToBigQuery/_StreamToBigQuery/FromHashableTableRef
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 
2022-09-12T12:58:35.125Z: JOB_MESSAGE_DETAILED: Fusing consumer 
CalculateUserScores/ExtractAndSumScore/Map(<lambda at leader_board.py:151>) 
into CalculateUserScores/LeaderboardUserGlobalWindows
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 
2022-09-12T12:58:35.146Z: JOB_MESSAGE_DETAILED: Fusing consumer 
CalculateUserScores/ExtractAndSumScore/CombinePerKey(sum)/Combine/ConvertToAccumulators
 into CalculateUserScores/ExtractAndSumScore/Map(<lambda at 
leader_board.py:151>)
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 
2022-09-12T12:58:35.177Z: JOB_MESSAGE_DETAILED: Fusing consumer 
CalculateUserScores/ExtractAndSumScore/CombinePerKey(sum)/GroupByKey/WriteStream
 into 
CalculateUserScores/ExtractAndSumScore/CombinePerKey(sum)/Combine/ConvertToAccumulators
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 
2022-09-12T12:58:35.212Z: JOB_MESSAGE_DETAILED: Fusing consumer 
CalculateUserScores/ExtractAndSumScore/CombinePerKey(sum)/Combine into 
CalculateUserScores/ExtractAndSumScore/CombinePerKey(sum)/GroupByKey/ReadStream
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 
2022-09-12T12:58:35.244Z: JOB_MESSAGE_DETAILED: Fusing consumer 
CalculateUserScores/ExtractAndSumScore/CombinePerKey(sum)/Combine/Extract into 
CalculateUserScores/ExtractAndSumScore/CombinePerKey(sum)/Combine
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 
2022-09-12T12:58:35.270Z: JOB_MESSAGE_DETAILED: Fusing consumer 
FormatUserScoreSums into 
CalculateUserScores/ExtractAndSumScore/CombinePerKey(sum)/Combine/Extract
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 
2022-09-12T12:58:35.302Z: JOB_MESSAGE_DETAILED: Fusing consumer 
WriteUserScoreSums/ConvertToRow into FormatUserScoreSums
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 
2022-09-12T12:58:35.335Z: JOB_MESSAGE_DETAILED: Fusing consumer 
WriteUserScoreSums/WriteToBigQuery/_StreamToBigQuery/AppendDestination into 
WriteUserScoreSums/ConvertToRow
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 
2022-09-12T12:58:35.412Z: JOB_MESSAGE_DETAILED: Fusing consumer 
WriteUserScoreSums/WriteToBigQuery/_StreamToBigQuery/AddInsertIds into 
WriteUserScoreSums/WriteToBigQuery/_StreamToBigQuery/AppendDestination
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 
2022-09-12T12:58:35.463Z: JOB_MESSAGE_DETAILED: Fusing consumer 
WriteUserScoreSums/WriteToBigQuery/_StreamToBigQuery/ToHashableTableRef into 
WriteUserScoreSums/WriteToBigQuery/_StreamToBigQuery/AddInsertIds
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 
2022-09-12T12:58:35.489Z: JOB_MESSAGE_DETAILED: Fusing consumer 
WriteUserScoreSums/WriteToBigQuery/_StreamToBigQuery/WithFixedSharding into 
WriteUserScoreSums/WriteToBigQuery/_StreamToBigQuery/ToHashableTableRef
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 
2022-09-12T12:58:35.554Z: JOB_MESSAGE_DETAILED: Fusing consumer 
WriteUserScoreSums/WriteToBigQuery/_StreamToBigQuery/CommitInsertIds/Map(reify_timestamps)
 into WriteUserScoreSums/WriteToBigQuery/_StreamToBigQuery/WithFixedSharding
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 
2022-09-12T12:58:35.591Z: JOB_MESSAGE_DETAILED: Fusing consumer 
WriteUserScoreSums/WriteToBigQuery/_StreamToBigQuery/CommitInsertIds/GroupByKey/WriteStream
 into 
WriteUserScoreSums/WriteToBigQuery/_StreamToBigQuery/CommitInsertIds/Map(reify_timestamps)
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 
2022-09-12T12:58:35.625Z: JOB_MESSAGE_DETAILED: Fusing consumer 
WriteUserScoreSums/WriteToBigQuery/_StreamToBigQuery/CommitInsertIds/GroupByKey/MergeBuckets
 into 
WriteUserScoreSums/WriteToBigQuery/_StreamToBigQuery/CommitInsertIds/GroupByKey/ReadStream
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 
2022-09-12T12:58:35.650Z: JOB_MESSAGE_DETAILED: Fusing consumer 
WriteUserScoreSums/WriteToBigQuery/_StreamToBigQuery/CommitInsertIds/FlatMap(restore_timestamps)
 into 
WriteUserScoreSums/WriteToBigQuery/_StreamToBigQuery/CommitInsertIds/GroupByKey/MergeBuckets
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 
2022-09-12T12:58:35.680Z: JOB_MESSAGE_DETAILED: Fusing consumer 
WriteUserScoreSums/WriteToBigQuery/_StreamToBigQuery/DropShard into 
WriteUserScoreSums/WriteToBigQuery/_StreamToBigQuery/CommitInsertIds/FlatMap(restore_timestamps)
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 
2022-09-12T12:58:35.714Z: JOB_MESSAGE_DETAILED: Fusing consumer 
WriteUserScoreSums/WriteToBigQuery/_StreamToBigQuery/FromHashableTableRef into 
WriteUserScoreSums/WriteToBigQuery/_StreamToBigQuery/DropShard
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 
2022-09-12T12:58:35.741Z: JOB_MESSAGE_DETAILED: Fusing consumer 
WriteUserScoreSums/WriteToBigQuery/_StreamToBigQuery/StreamInsertRows/ParDo(BigQueryWriteFn)
 into WriteUserScoreSums/WriteToBigQuery/_StreamToBigQuery/FromHashableTableRef
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 
2022-09-12T12:58:35.774Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 
2022-09-12T12:58:35.797Z: JOB_MESSAGE_BASIC: Using cloud KMLS key to protect 
persistent state.
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 
2022-09-12T12:58:35.905Z: JOB_MESSAGE_DEBUG: Workflow config is missing a 
default resource spec.
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 
2022-09-12T12:58:35.944Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and 
teardown to workflow graph.
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 
2022-09-12T12:58:35.981Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop 
steps.
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 
2022-09-12T12:58:36.005Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 
2022-09-12T12:58:36.066Z: JOB_MESSAGE_DEBUG: Starting worker pool setup.
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 
2022-09-12T12:58:36.101Z: JOB_MESSAGE_BASIC: Starting 1 workers in 
us-central1-a...
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 
2022-09-12T12:58:36.146Z: JOB_MESSAGE_DEBUG: Starting worker pool setup.
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 
2022-09-12T12:58:46.456Z: 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
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 
2022-09-12T12:59:12.953Z: 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.
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 
2022-09-12T12:59:47.243Z: JOB_MESSAGE_DETAILED: Workers have started 
successfully.
WARNING  
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:253 Timing out 
on waiting for job 2022-09-12_05_58_20-7673661972781028106 after 601 seconds
INFO     
apache_beam.io.gcp.tests.bigquery_matcher:bigquery_matcher.py:121 Attempting to 
perform query SELECT total_score FROM 
`apache-beam-testing.leader_board_it_dataset16629874247514.leader_board_users` 
WHERE total_score=5000 LIMIT 1 to BQ
INFO     
apache_beam.io.gcp.tests.bigquery_matcher:bigquery_matcher.py:96 Read from 
given query (SELECT total_score FROM 
`apache-beam-testing.leader_board_it_dataset16629874247514.leader_board_users` 
WHERE total_score=5000 LIMIT 1), total rows 0
INFO     
apache_beam.io.gcp.tests.bigquery_matcher:bigquery_matcher.py:101 Generate 
checksum: da39a3ee5e6b4b0d3255bfef95601890afd80709
=============================== warnings summary 
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the module's documentation for alternative uses
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../../build/gradleenv/-1734967050/lib/python3.9/site-packages/tenacity/_asyncio.py:42
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apache_beam/typehints/pandas_type_compatibility_test.py:66
apache_beam/typehints/pandas_type_compatibility_test.py:66
apache_beam/typehints/pandas_type_compatibility_test.py:66
apache_beam/typehints/pandas_type_compatibility_test.py:66
apache_beam/typehints/pandas_type_compatibility_test.py:66
apache_beam/typehints/pandas_type_compatibility_test.py:66
apache_beam/typehints/pandas_type_compatibility_test.py:66
apache_beam/typehints/pandas_type_compatibility_test.py:66
  
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in a future version. Use pandas.Index with the appropriate dtype instead.
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apache_beam/typehints/pandas_type_compatibility_test.py:89
apache_beam/typehints/pandas_type_compatibility_test.py:89
apache_beam/typehints/pandas_type_compatibility_test.py:89
apache_beam/typehints/pandas_type_compatibility_test.py:89
apache_beam/typehints/pandas_type_compatibility_test.py:89
apache_beam/typehints/pandas_type_compatibility_test.py:89
apache_beam/typehints/pandas_type_compatibility_test.py:89
apache_beam/typehints/pandas_type_compatibility_test.py:89
  
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apache_beam/typehints/pandas_type_compatibility_test.py:90
apache_beam/typehints/pandas_type_compatibility_test.py:90
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apache_beam/typehints/pandas_type_compatibility_test.py:90
apache_beam/typehints/pandas_type_compatibility_test.py:90
apache_beam/typehints/pandas_type_compatibility_test.py:90
apache_beam/typehints/pandas_type_compatibility_test.py:90
  
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-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
- generated xml file: 
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 -
=========================== short test summary info ============================
FAILED 
apache_beam/examples/complete/game/leader_board_it_test.py::LeaderBoardIT::test_leader_board_it
====== 1 failed, 16 passed, 3 skipped, 
86 warnings in 1544.16s (0:25:44) =======

> Task :sdks:python:test-suites:dataflow:py39:examples FAILED

FAILURE: Build failed with an exception.

* Where:
Script 
'<https://ci-beam.apache.org/job/beam_PostCommit_Python_Examples_Dataflow/ws/src/sdks/python/test-suites/dataflow/common.gradle'>
 line: 187

* What went wrong:
Execution failed for task ':sdks:python:test-suites:dataflow:py39:examples'.
> 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.

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

Deprecated Gradle features were used in this build, making it incompatible with 
Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings 
and determine if they come from your own scripts or plugins.

See 
https://docs.gradle.org/7.5.1/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 27m 1s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/nozqcmekmigp4

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

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