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Posted to builds@beam.apache.org by Apache Jenkins Server <je...@builds.apache.org> on 2023/01/16 23:26:41 UTC

Build failed in Jenkins: beam_PostCommit_Py_VR_Dataflow_V2 #4419

See <https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/4419/display/redirect?page=changes>

Changes:

[noreply] [Spark Dataset runner] Fix SparkSessionFactory to better support running


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INFO     apache_beam.runners.dataflow.internal.apiclient:apiclient.py:742 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0116221010-794971-zxz6xnth.1673907010.795166/matplotlib-3.5.3-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl in 0 seconds.
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INFO     apache_beam.runners.dataflow.internal.apiclient:apiclient.py:742 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0116221010-794971-zxz6xnth.1673907010.795166/tfx_bsl-1.12.0-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl in 0 seconds.
INFO     apache_beam.runners.dataflow.internal.apiclient:apiclient.py:723 Starting GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0116221010-794971-zxz6xnth.1673907010.795166/matplotlib-3.6.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl...
INFO     apache_beam.runners.dataflow.internal.apiclient:apiclient.py:742 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0116221010-794971-zxz6xnth.1673907010.795166/matplotlib-3.6.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl in 0 seconds.
INFO     apache_beam.runners.dataflow.internal.apiclient:apiclient.py:723 Starting GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0116221010-794971-zxz6xnth.1673907010.795166/dataflow_python_sdk.tar...
INFO     apache_beam.runners.dataflow.internal.apiclient:apiclient.py:742 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0116221010-794971-zxz6xnth.1673907010.795166/dataflow_python_sdk.tar in 0 seconds.
INFO     apache_beam.runners.dataflow.internal.apiclient:apiclient.py:723 Starting GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0116221010-794971-zxz6xnth.1673907010.795166/pipeline.pb...
INFO     apache_beam.runners.dataflow.internal.apiclient:apiclient.py:742 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0116221010-794971-zxz6xnth.1673907010.795166/pipeline.pb in 0 seconds.
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INFO     apache_beam.runners.dataflow.internal.apiclient:apiclient.py:900 Created job with id: [2023-01-16_14_12_07-2954575922107038441]
INFO     apache_beam.runners.dataflow.internal.apiclient:apiclient.py:901 Submitted job: 2023-01-16_14_12_07-2954575922107038441
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INFO     apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-01-16T22:12:19.708Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts.
INFO     apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-01-16T22:12:19.733Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts.
INFO     apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-01-16T22:12:19.805Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO     apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-01-16T22:12:19.839Z: JOB_MESSAGE_DEBUG: Combiner lifting skipped for step assert_that/Group/CoGroupByKeyImpl/GroupByKey: GroupByKey not followed by a combiner.
INFO     apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-01-16T22:12:19.868Z: JOB_MESSAGE_DEBUG: Combiner lifting skipped for step Input/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey: GroupByKey not followed by a combiner.
INFO     apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-01-16T22:12:19.906Z: JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into optimizable parts.
INFO     apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-01-16T22:12:19.937Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write steps
INFO     apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-01-16T22:12:20.034Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO     apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-01-16T22:12:20.121Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO     apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-01-16T22:12:20.153Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO     apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-01-16T22:12:20.183Z: JOB_MESSAGE_DEBUG: Inserted coder converter before flatten ref_AppliedPTransform_assert_that-Group-CoGroupByKeyImpl-Flatten_27
INFO     apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-01-16T22:12:20.216Z: JOB_MESSAGE_DEBUG: Inserted coder converter before flatten ref_AppliedPTransform_assert_that-Group-CoGroupByKeyImpl-Flatten_27
INFO     apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-01-16T22:12:20.250Z: JOB_MESSAGE_DETAILED: Unzipping flatten ref_AppliedPTransform_assert_that-Group-CoGroupByKeyImpl-Flatten_27 for input ref_AppliedPTransform_assert_that-Group-CoGroupByKeyImpl-Tag-0-_25.None-post12
INFO     apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-01-16T22:12:20.285Z: JOB_MESSAGE_DETAILED: Fusing unzipped copy of assert_that/Group/CoGroupByKeyImpl/GroupByKey/WriteStream, through flatten assert_that/Group/CoGroupByKeyImpl/Flatten, into producer assert_that/Group/CoGroupByKeyImpl/Flatten/InputIdentity
INFO     apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-01-16T22:12:20.319Z: JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/CoGroupByKeyImpl/GroupByKey/WriteStream into assert_that/Group/CoGroupByKeyImpl/Flatten/InputIdentity
INFO     apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-01-16T22:12:20.344Z: JOB_MESSAGE_DETAILED: Fusing consumer Input/FlatMap(<lambda at core.py:3507>) into Input/Impulse
INFO     apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-01-16T22:12:20.383Z: JOB_MESSAGE_DETAILED: Fusing consumer Input/MaybeReshuffle/Reshuffle/AddRandomKeys into Input/FlatMap(<lambda at core.py:3507>)
INFO     apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-01-16T22:12:20.407Z: JOB_MESSAGE_DETAILED: Fusing consumer Input/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps) into Input/MaybeReshuffle/Reshuffle/AddRandomKeys
INFO     apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-01-16T22:12:20.439Z: JOB_MESSAGE_DETAILED: Fusing consumer Input/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/WriteStream into Input/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps)
INFO     apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-01-16T22:12:20.460Z: JOB_MESSAGE_DETAILED: Fusing consumer Input/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/MergeBuckets into Input/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/ReadStream
INFO     apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-01-16T22:12:20.482Z: JOB_MESSAGE_DETAILED: Fusing consumer Input/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps) into Input/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/MergeBuckets
INFO     apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-01-16T22:12:20.511Z: JOB_MESSAGE_DETAILED: Fusing consumer Input/MaybeReshuffle/Reshuffle/RemoveRandomKeys into Input/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)
INFO     apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-01-16T22:12:20.541Z: JOB_MESSAGE_DETAILED: Fusing consumer Input/Map(decode) into Input/MaybeReshuffle/Reshuffle/RemoveRandomKeys
INFO     apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-01-16T22:12:20.578Z: JOB_MESSAGE_DETAILED: Fusing consumer ApplyPardo into Input/Map(decode)
INFO     apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-01-16T22:12:20.610Z: JOB_MESSAGE_DETAILED: Fusing consumer assert_that/WindowInto(WindowIntoFn) into ApplyPardo
INFO     apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-01-16T22:12:20.643Z: JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Create/FlatMap(<lambda at core.py:3507>) into assert_that/Create/Impulse
INFO     apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-01-16T22:12:20.675Z: JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Create/Map(decode) into assert_that/Create/FlatMap(<lambda at core.py:3507>)
INFO     apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-01-16T22:12:20.698Z: JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/CoGroupByKeyImpl/Tag[0] into assert_that/Create/Map(decode)
INFO     apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-01-16T22:12:20.732Z: JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/CoGroupByKeyImpl/Flatten/InputIdentity into assert_that/Group/CoGroupByKeyImpl/Tag[0]
INFO     apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-01-16T22:12:20.766Z: JOB_MESSAGE_DETAILED: Fusing consumer assert_that/ToVoidKey into assert_that/WindowInto(WindowIntoFn)
INFO     apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-01-16T22:12:20.791Z: JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/CoGroupByKeyImpl/Tag[1] into assert_that/ToVoidKey
INFO     apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-01-16T22:12:20.815Z: JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/CoGroupByKeyImpl/Flatten/InputIdentity into assert_that/Group/CoGroupByKeyImpl/Tag[1]
INFO     apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-01-16T22:12:20.839Z: JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/CoGroupByKeyImpl/GroupByKey/MergeBuckets into assert_that/Group/CoGroupByKeyImpl/GroupByKey/ReadStream
INFO     apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-01-16T22:12:20.875Z: JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/CoGroupByKeyImpl/MapTuple(collect_values) into assert_that/Group/CoGroupByKeyImpl/GroupByKey/MergeBuckets
INFO     apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-01-16T22:12:20.901Z: JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/RestoreTags into assert_that/Group/CoGroupByKeyImpl/MapTuple(collect_values)
INFO     apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-01-16T22:12:20.923Z: JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Unkey into assert_that/Group/RestoreTags
INFO     apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-01-16T22:12:20.960Z: JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Match into assert_that/Unkey
INFO     apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-01-16T22:12:20.998Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO     apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-01-16T22:12:21.036Z: JOB_MESSAGE_BASIC: Using cloud KMLS key to protect persistent state.
INFO     apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-01-16T22:12:21.123Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO     apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-01-16T22:12:21.151Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO     apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-01-16T22:12:21.188Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO     apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-01-16T22:12:21.215Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO     apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-01-16T22:12:22.312Z: JOB_MESSAGE_DEBUG: Starting worker pool setup.
INFO     apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-01-16T22:12:22.340Z: JOB_MESSAGE_BASIC: Starting 1 workers in us-central1-a...
INFO     apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-01-16T22:12:22.387Z: JOB_MESSAGE_DEBUG: Starting worker pool setup.
INFO     apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-01-16T22:12:48.165Z: 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:238 2023-01-16T22:13:05.581Z: 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:238 2023-01-16T22:13:38.114Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO     apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-01-16T22:13:48.145Z: JOB_MESSAGE_DETAILED: All workers have finished the startup processes and began to receive work requests.
INFO     apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-01-16T22:23:01.397Z: JOB_MESSAGE_DETAILED: Cleaning up.
INFO     apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-01-16T22:23:01.465Z: JOB_MESSAGE_DEBUG: Starting worker pool teardown.
INFO     apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-01-16T22:23:01.488Z: JOB_MESSAGE_BASIC: Stopping worker pool...
INFO     apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-01-16T22:23:01.518Z: JOB_MESSAGE_DEBUG: Starting worker pool teardown.
INFO     apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-01-16T22:23:01.547Z: JOB_MESSAGE_BASIC: Stopping worker pool...
INFO     apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-01-16T22:25:12.772Z: JOB_MESSAGE_DETAILED: Autoscaling: Reduced the number of workers to 0 based on low average worker CPU utilization, and the pipeline having sufficiently low backlog and keeping up with input rate.
INFO     apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-01-16T22:25:12.812Z: JOB_MESSAGE_BASIC: Worker pool stopped.
INFO     apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-01-16T22:25:12.834Z: JOB_MESSAGE_DEBUG: Tearing down pending resources...
INFO     apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:193 Job 2023-01-16_14_12_07-2954575922107038441 is in state JOB_STATE_DONE
=============================== warnings summary ===============================
../../build/gradleenv/-1734967052/lib/python3.7/site-packages/hdfs/config.py:15
../../build/gradleenv/-1734967052/lib/python3.7/site-packages/hdfs/config.py:15
../../build/gradleenv/-1734967052/lib/python3.7/site-packages/hdfs/config.py:15
../../build/gradleenv/-1734967052/lib/python3.7/site-packages/hdfs/config.py:15
../../build/gradleenv/-1734967052/lib/python3.7/site-packages/hdfs/config.py:15
../../build/gradleenv/-1734967052/lib/python3.7/site-packages/hdfs/config.py:15
../../build/gradleenv/-1734967052/lib/python3.7/site-packages/hdfs/config.py:15
../../build/gradleenv/-1734967052/lib/python3.7/site-packages/hdfs/config.py:15
../../build/gradleenv/-1734967052/lib/python3.7/site-packages/hdfs/config.py:15
  <https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/build/gradleenv/-1734967052/lib/python3.7/site-packages/hdfs/config.py>:15: DeprecationWarning: the imp module is deprecated in favour of importlib; see the module's documentation for alternative uses
    from imp import load_source

-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
- generated xml file: <https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/pytest_validatesRunnerStreamingTests-df-py37-xdist.xml> -
=========================== short test summary info ============================
FAILED apache_beam/metrics/metric_test.py::MetricsTest::test_user_counter_using_pardo - AssertionError: 14 != 8
======= 1 failed, 31 passed, 7 skipped, 9 warnings in 3815.23s (1:03:35) =======

> Task :sdks:python:test-suites:dataflow:py37:validatesRunnerStreamingTests FAILED

> Task :sdks:python:test-suites:dataflow:py310:validatesRunnerStreamingTests
INFO     apache_beam.runners.dataflow.internal.apiclient:apiclient.py:739 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0116231157-896419-nthvafm2.1673910717.896618/torch-1.13.0-cp37-cp37m-manylinux1_x86_64.whl in 37 seconds.
INFO     apache_beam.runners.dataflow.internal.apiclient:apiclient.py:723 Starting GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0116231157-896419-nthvafm2.1673910717.896618/torchvision-0.14.0-cp38-cp38-manylinux1_x86_64.whl...
INFO     apache_beam.runners.dataflow.internal.apiclient:apiclient.py:739 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0116231157-896419-nthvafm2.1673910717.896618/torchvision-0.14.0-cp38-cp38-manylinux1_x86_64.whl in 1 seconds.
INFO     apache_beam.runners.dataflow.internal.apiclient:apiclient.py:723 Starting GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0116231157-896419-nthvafm2.1673910717.896618/torchvision-0.14.1-cp38-cp38-manylinux1_x86_64.whl...
INFO     apache_beam.runners.dataflow.internal.apiclient:apiclient.py:739 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0116231157-896419-nthvafm2.1673910717.896618/torchvision-0.14.1-cp38-cp38-manylinux1_x86_64.whl in 1 seconds.
INFO     apache_beam.runners.dataflow.internal.apiclient:apiclient.py:723 Starting GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0116231157-896419-nthvafm2.1673910717.896618/torchvision-0.14.0-cp37-cp37m-manylinux1_x86_64.whl...
INFO     apache_beam.runners.dataflow.internal.apiclient:apiclient.py:739 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0116231157-896419-nthvafm2.1673910717.896618/torchvision-0.14.0-cp37-cp37m-manylinux1_x86_64.whl in 1 seconds.
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INFO     apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-01-16T23:14:22.486Z: JOB_MESSAGE_DEBUG: Starting worker pool setup.
INFO     apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-01-16T23:14:22.572Z: JOB_MESSAGE_BASIC: Starting 1 workers in us-central1-a...
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INFO     apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-01-16T23:15:11.378Z: 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.
WARNING  apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:249 Timing out on waiting for job 2023-01-16_15_14_08-3317441178810879086 after 60 seconds
PASSED

=============================== warnings summary ===============================
../../build/gradleenv/2050596098/lib/python3.10/site-packages/hdfs/config.py:15
  <https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/build/gradleenv/2050596098/lib/python3.10/site-packages/hdfs/config.py>:15: DeprecationWarning: the imp module is deprecated in favour of importlib and slated for removal in Python 3.12; see the module's documentation for alternative uses
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../../build/gradleenv/2050596098/lib/python3.10/site-packages/google/api_core/operations_v1/abstract_operations_client.py:17
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    from distutils import util

../../build/gradleenv/2050596098/lib/python3.10/site-packages/tenacity/_asyncio.py:42
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apache_beam/typehints/pandas_type_compatibility_test.py:67
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apache_beam/typehints/pandas_type_compatibility_test.py:90
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apache_beam/typehints/pandas_type_compatibility_test.py:91
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    pd.Int64Index(range(475, 575), name='another_index'),

apache_beam/runners/dataflow/dataflow_exercise_streaming_metrics_pipeline_test.py::ExerciseStreamingMetricsPipelineTest::test_streaming_pipeline_returns_expected_user_metrics_fnapi_it
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-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
- generated xml file: <https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/pytest_validatesRunnerStreamingTests-df-py310-noxdist.xml> -
==== 1 passed, 6 skipped, 6796 deselected, 8 warnings in 894.76s (0:14:54) =====

FAILURE: Build failed with an exception.

* Where:
Script '<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/test-suites/dataflow/common.gradle'> line: 241

* What went wrong:
Execution failed for task ':sdks:python:test-suites:dataflow:py37:validatesRunnerStreamingTests'.
> 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 2h 18m 11s
20 actionable tasks: 14 executed, 4 from cache, 2 up-to-date

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

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


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