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Posted to builds@beam.apache.org by Apache Jenkins Server <je...@builds.apache.org> on 2022/10/05 05:20:01 UTC
Build failed in Jenkins: beam_PostCommit_Py_VR_Dataflow_V2 #4004
See <https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/4004/display/redirect>
Changes:
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[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-10-05T05:01:35.696Z: JOB_MESSAGE_ERROR: Workflow failed.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-10-05T05:01:46.127Z: JOB_MESSAGE_ERROR: Startup of the worker pool in zone us-central1-b failed to bring up any of the desired 1 workers. Please refer to https://cloud.google.com/dataflow/docs/guides/common-errors#worker-pool-failure for help troubleshooting. QUOTA_EXCEEDED: Instance 'beamapp-jenkins-100503502-10042051-g2k9-harness-1bw4' creation failed: Quota 'IN_USE_ADDRESSES' exceeded. Limit: 1200.0 in region us-central1.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-10-05T05:01:46.163Z: JOB_MESSAGE_ERROR: Workflow failed.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-10-05T05:01:56.594Z: JOB_MESSAGE_ERROR: Startup of the worker pool in zone us-central1-b failed to bring up any of the desired 1 workers. Please refer to https://cloud.google.com/dataflow/docs/guides/common-errors#worker-pool-failure for help troubleshooting. QUOTA_EXCEEDED: Instance 'beamapp-jenkins-100503502-10042051-g2k9-harness-1bw4' creation failed: Quota 'IN_USE_ADDRESSES' exceeded. Limit: 1200.0 in region us-central1.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-10-05T05:01:56.618Z: JOB_MESSAGE_ERROR: Workflow failed.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-10-05T05:02:07.006Z: JOB_MESSAGE_ERROR: Startup of the worker pool in zone us-central1-b failed to bring up any of the desired 1 workers. Please refer to https://cloud.google.com/dataflow/docs/guides/common-errors#worker-pool-failure for help troubleshooting. QUOTA_EXCEEDED: Instance 'beamapp-jenkins-100503502-10042051-g2k9-harness-1bw4' creation failed: Quota 'IN_USE_ADDRESSES' exceeded. Limit: 1200.0 in region us-central1.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-10-05T05:02:07.034Z: JOB_MESSAGE_ERROR: Workflow failed.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-10-05T05:02:17.434Z: JOB_MESSAGE_ERROR: Startup of the worker pool in zone us-central1-b failed to bring up any of the desired 1 workers. Please refer to https://cloud.google.com/dataflow/docs/guides/common-errors#worker-pool-failure for help troubleshooting. QUOTA_EXCEEDED: Instance 'beamapp-jenkins-100503502-10042051-g2k9-harness-1bw4' creation failed: Quota 'IN_USE_ADDRESSES' exceeded. Limit: 1200.0 in region us-central1.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-10-05T05:02:17.477Z: JOB_MESSAGE_ERROR: Workflow failed.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-10-05T05:02:27.910Z: JOB_MESSAGE_ERROR: Startup of the worker pool in zone us-central1-b failed to bring up any of the desired 1 workers. Please refer to https://cloud.google.com/dataflow/docs/guides/common-errors#worker-pool-failure for help troubleshooting. QUOTA_EXCEEDED: Instance 'beamapp-jenkins-100503502-10042051-g2k9-harness-1bw4' creation failed: Quota 'IN_USE_ADDRESSES' exceeded. Limit: 1200.0 in region us-central1.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-10-05T05:02:27.932Z: JOB_MESSAGE_ERROR: Workflow failed.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-10-05T05:02:38.397Z: JOB_MESSAGE_ERROR: Startup of the worker pool in zone us-central1-b failed to bring up any of the desired 1 workers. Please refer to https://cloud.google.com/dataflow/docs/guides/common-errors#worker-pool-failure for help troubleshooting. QUOTA_EXCEEDED: Instance 'beamapp-jenkins-100503502-10042051-g2k9-harness-1bw4' creation failed: Quota 'IN_USE_ADDRESSES' exceeded. Limit: 1200.0 in region us-central1.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-10-05T05:02:38.420Z: JOB_MESSAGE_ERROR: Workflow failed.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-10-05T05:02:48.860Z: JOB_MESSAGE_ERROR: Startup of the worker pool in zone us-central1-b failed to bring up any of the desired 1 workers. Please refer to https://cloud.google.com/dataflow/docs/guides/common-errors#worker-pool-failure for help troubleshooting. QUOTA_EXCEEDED: Instance 'beamapp-jenkins-100503502-10042051-g2k9-harness-1bw4' creation failed: Quota 'IN_USE_ADDRESSES' exceeded. Limit: 1200.0 in region us-central1.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-10-05T05:02:48.886Z: JOB_MESSAGE_ERROR: Workflow failed.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-10-05T05:02:59.282Z: JOB_MESSAGE_ERROR: Startup of the worker pool in zone us-central1-b failed to bring up any of the desired 1 workers. Please refer to https://cloud.google.com/dataflow/docs/guides/common-errors#worker-pool-failure for help troubleshooting. QUOTA_EXCEEDED: Instance 'beamapp-jenkins-100503502-10042051-g2k9-harness-1bw4' creation failed: Quota 'IN_USE_ADDRESSES' exceeded. Limit: 1200.0 in region us-central1.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-10-05T05:02:59.308Z: JOB_MESSAGE_ERROR: Workflow failed.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-10-05T05:03:09.765Z: JOB_MESSAGE_ERROR: Startup of the worker pool in zone us-central1-b failed to bring up any of the desired 1 workers. Please refer to https://cloud.google.com/dataflow/docs/guides/common-errors#worker-pool-failure for help troubleshooting. QUOTA_EXCEEDED: Instance 'beamapp-jenkins-100503502-10042051-g2k9-harness-1bw4' creation failed: Quota 'IN_USE_ADDRESSES' exceeded. Limit: 1200.0 in region us-central1.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-10-05T05:03:09.792Z: JOB_MESSAGE_ERROR: Workflow failed.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-10-05T05:03:20.192Z: JOB_MESSAGE_ERROR: Startup of the worker pool in zone us-central1-b failed to bring up any of the desired 1 workers. Please refer to https://cloud.google.com/dataflow/docs/guides/common-errors#worker-pool-failure for help troubleshooting. QUOTA_EXCEEDED: Instance 'beamapp-jenkins-100503502-10042051-g2k9-harness-1bw4' creation failed: Quota 'IN_USE_ADDRESSES' exceeded. Limit: 1200.0 in region us-central1.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-10-05T05:03:20.226Z: JOB_MESSAGE_ERROR: Workflow failed.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-10-05T05:03:30.635Z: JOB_MESSAGE_ERROR: Startup of the worker pool in zone us-central1-b failed to bring up any of the desired 1 workers. Please refer to https://cloud.google.com/dataflow/docs/guides/common-errors#worker-pool-failure for help troubleshooting. QUOTA_EXCEEDED: Instance 'beamapp-jenkins-100503502-10042051-g2k9-harness-1bw4' creation failed: Quota 'IN_USE_ADDRESSES' exceeded. Limit: 1200.0 in region us-central1.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-10-05T05:03:30.660Z: JOB_MESSAGE_ERROR: Workflow failed.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-10-05T05:03:41.104Z: JOB_MESSAGE_ERROR: Startup of the worker pool in zone us-central1-b failed to bring up any of the desired 1 workers. Please refer to https://cloud.google.com/dataflow/docs/guides/common-errors#worker-pool-failure for help troubleshooting. QUOTA_EXCEEDED: Instance 'beamapp-jenkins-100503502-10042051-g2k9-harness-1bw4' creation failed: Quota 'IN_USE_ADDRESSES' exceeded. Limit: 1200.0 in region us-central1.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-10-05T05:03:41.124Z: JOB_MESSAGE_ERROR: Workflow failed.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-10-05T05:03:51.507Z: JOB_MESSAGE_ERROR: Startup of the worker pool in zone us-central1-b failed to bring up any of the desired 1 workers. Please refer to https://cloud.google.com/dataflow/docs/guides/common-errors#worker-pool-failure for help troubleshooting. QUOTA_EXCEEDED: Instance 'beamapp-jenkins-100503502-10042051-g2k9-harness-1bw4' creation failed: Quota 'IN_USE_ADDRESSES' exceeded. Limit: 1200.0 in region us-central1.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-10-05T05:03:51.527Z: JOB_MESSAGE_ERROR: Workflow failed.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-10-05T05:04:01.883Z: JOB_MESSAGE_ERROR: Startup of the worker pool in zone us-central1-b failed to bring up any of the desired 1 workers. Please refer to https://cloud.google.com/dataflow/docs/guides/common-errors#worker-pool-failure for help troubleshooting. QUOTA_EXCEEDED: Instance 'beamapp-jenkins-100503502-10042051-g2k9-harness-1bw4' creation failed: Quota 'IN_USE_ADDRESSES' exceeded. Limit: 1200.0 in region us-central1.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-10-05T05:04:01.908Z: JOB_MESSAGE_ERROR: Workflow failed.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-10-05T05:04:12.245Z: JOB_MESSAGE_ERROR: Startup of the worker pool in zone us-central1-b failed to bring up any of the desired 1 workers. Please refer to https://cloud.google.com/dataflow/docs/guides/common-errors#worker-pool-failure for help troubleshooting. QUOTA_EXCEEDED: Instance 'beamapp-jenkins-100503502-10042051-g2k9-harness-1bw4' creation failed: Quota 'IN_USE_ADDRESSES' exceeded. Limit: 1200.0 in region us-central1.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-10-05T05:04:12.268Z: JOB_MESSAGE_ERROR: Workflow failed.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-10-05T05:04:22.602Z: JOB_MESSAGE_ERROR: Startup of the worker pool in zone us-central1-b failed to bring up any of the desired 1 workers. Please refer to https://cloud.google.com/dataflow/docs/guides/common-errors#worker-pool-failure for help troubleshooting. QUOTA_EXCEEDED: Instance 'beamapp-jenkins-100503502-10042051-g2k9-harness-1bw4' creation failed: Quota 'IN_USE_ADDRESSES' exceeded. Limit: 1200.0 in region us-central1.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-10-05T05:04:22.624Z: JOB_MESSAGE_ERROR: Workflow failed.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-10-05T05:04:32.963Z: JOB_MESSAGE_ERROR: Startup of the worker pool in zone us-central1-b failed to bring up any of the desired 1 workers. Please refer to https://cloud.google.com/dataflow/docs/guides/common-errors#worker-pool-failure for help troubleshooting. QUOTA_EXCEEDED: Instance 'beamapp-jenkins-100503502-10042051-g2k9-harness-1bw4' creation failed: Quota 'IN_USE_ADDRESSES' exceeded. Limit: 1200.0 in region us-central1.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-10-05T05:04:32.984Z: JOB_MESSAGE_ERROR: Workflow failed.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-10-05T05:04:43.404Z: JOB_MESSAGE_ERROR: Startup of the worker pool in zone us-central1-b failed to bring up any of the desired 1 workers. Please refer to https://cloud.google.com/dataflow/docs/guides/common-errors#worker-pool-failure for help troubleshooting. QUOTA_EXCEEDED: Instance 'beamapp-jenkins-100503502-10042051-g2k9-harness-1bw4' creation failed: Quota 'IN_USE_ADDRESSES' exceeded. Limit: 1200.0 in region us-central1.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-10-05T05:04:43.432Z: JOB_MESSAGE_ERROR: Workflow failed.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-10-05T05:04:53.782Z: JOB_MESSAGE_ERROR: Startup of the worker pool in zone us-central1-b failed to bring up any of the desired 1 workers. Please refer to https://cloud.google.com/dataflow/docs/guides/common-errors#worker-pool-failure for help troubleshooting. QUOTA_EXCEEDED: Instance 'beamapp-jenkins-100503502-10042051-g2k9-harness-1bw4' creation failed: Quota 'IN_USE_ADDRESSES' exceeded. Limit: 1200.0 in region us-central1.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-10-05T05:04:53.802Z: JOB_MESSAGE_ERROR: Workflow failed.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-10-05T05:05:04.123Z: JOB_MESSAGE_ERROR: Startup of the worker pool in zone us-central1-b failed to bring up any of the desired 1 workers. Please refer to https://cloud.google.com/dataflow/docs/guides/common-errors#worker-pool-failure for help troubleshooting. QUOTA_EXCEEDED: Instance 'beamapp-jenkins-100503502-10042051-g2k9-harness-1bw4' creation failed: Quota 'IN_USE_ADDRESSES' exceeded. Limit: 1200.0 in region us-central1.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-10-05T05:05:04.144Z: JOB_MESSAGE_ERROR: Workflow failed.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-10-05T05:05:14.483Z: JOB_MESSAGE_ERROR: Startup of the worker pool in zone us-central1-b failed to bring up any of the desired 1 workers. Please refer to https://cloud.google.com/dataflow/docs/guides/common-errors#worker-pool-failure for help troubleshooting. QUOTA_EXCEEDED: Instance 'beamapp-jenkins-100503502-10042051-g2k9-harness-1bw4' creation failed: Quota 'IN_USE_ADDRESSES' exceeded. Limit: 1200.0 in region us-central1.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-10-05T05:05:14.508Z: JOB_MESSAGE_ERROR: Workflow failed.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-10-05T05:05:24.878Z: JOB_MESSAGE_ERROR: Startup of the worker pool in zone us-central1-b failed to bring up any of the desired 1 workers. Please refer to https://cloud.google.com/dataflow/docs/guides/common-errors#worker-pool-failure for help troubleshooting. QUOTA_EXCEEDED: Instance 'beamapp-jenkins-100503502-10042051-g2k9-harness-1bw4' creation failed: Quota 'IN_USE_ADDRESSES' exceeded. Limit: 1200.0 in region us-central1.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-10-05T05:05:24.908Z: JOB_MESSAGE_ERROR: Workflow failed.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:197 Job 2022-10-04_20_51_07-17066706660900058445 is in state JOB_STATE_CANCELLING
[33m=============================== warnings summary ===============================[0m
../../build/gradleenv/-1734967050/lib/python3.9/site-packages/hdfs/config.py:15
../../build/gradleenv/-1734967050/lib/python3.9/site-packages/hdfs/config.py:15
../../build/gradleenv/-1734967050/lib/python3.9/site-packages/hdfs/config.py:15
../../build/gradleenv/-1734967050/lib/python3.9/site-packages/hdfs/config.py:15
../../build/gradleenv/-1734967050/lib/python3.9/site-packages/hdfs/config.py:15
../../build/gradleenv/-1734967050/lib/python3.9/site-packages/hdfs/config.py:15
../../build/gradleenv/-1734967050/lib/python3.9/site-packages/hdfs/config.py:15
../../build/gradleenv/-1734967050/lib/python3.9/site-packages/hdfs/config.py:15
../../build/gradleenv/-1734967050/lib/python3.9/site-packages/hdfs/config.py:15
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/build/gradleenv/-1734967050/lib/python3.9/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
../../build/gradleenv/-1734967050/lib/python3.9/site-packages/google/api_core/grpc_helpers.py:37
../../build/gradleenv/-1734967050/lib/python3.9/site-packages/google/api_core/grpc_helpers.py:37
../../build/gradleenv/-1734967050/lib/python3.9/site-packages/google/api_core/grpc_helpers.py:37
../../build/gradleenv/-1734967050/lib/python3.9/site-packages/google/api_core/grpc_helpers.py:37
../../build/gradleenv/-1734967050/lib/python3.9/site-packages/google/api_core/grpc_helpers.py:37
../../build/gradleenv/-1734967050/lib/python3.9/site-packages/google/api_core/grpc_helpers.py:37
../../build/gradleenv/-1734967050/lib/python3.9/site-packages/google/api_core/grpc_helpers.py:37
../../build/gradleenv/-1734967050/lib/python3.9/site-packages/google/api_core/grpc_helpers.py:37
../../build/gradleenv/-1734967050/lib/python3.9/site-packages/google/api_core/grpc_helpers.py:37
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/build/gradleenv/-1734967050/lib/python3.9/site-packages/google/api_core/grpc_helpers.py>:37: DeprecationWarning: Support for grpcio-gcp is deprecated. This feature will be
removed from `google-api-core` after January 1, 2024. If you need to
continue to use this feature, please pin to a specific version of
`google-api-core`.
warnings.warn(
../../build/gradleenv/-1734967050/lib/python3.9/site-packages/tenacity/_asyncio.py:42
../../build/gradleenv/-1734967050/lib/python3.9/site-packages/tenacity/_asyncio.py:42
../../build/gradleenv/-1734967050/lib/python3.9/site-packages/tenacity/_asyncio.py:42
../../build/gradleenv/-1734967050/lib/python3.9/site-packages/tenacity/_asyncio.py:42
../../build/gradleenv/-1734967050/lib/python3.9/site-packages/tenacity/_asyncio.py:42
../../build/gradleenv/-1734967050/lib/python3.9/site-packages/tenacity/_asyncio.py:42
../../build/gradleenv/-1734967050/lib/python3.9/site-packages/tenacity/_asyncio.py:42
../../build/gradleenv/-1734967050/lib/python3.9/site-packages/tenacity/_asyncio.py:42
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/build/gradleenv/-1734967050/lib/python3.9/site-packages/tenacity/_asyncio.py>:42: DeprecationWarning: "@coroutine" decorator is deprecated since Python 3.8, use "async def" instead
def call(self, fn, *args, **kwargs):
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
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/apache_beam/typehints/pandas_type_compatibility_test.py>:66: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.
}).set_index(pd.Int64Index(range(123, 223), name='an_index')),
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
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/apache_beam/typehints/pandas_type_compatibility_test.py>:89: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.
pd.Int64Index(range(123, 223), name='an_index'),
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
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
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/apache_beam/typehints/pandas_type_compatibility_test.py>:90: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.
pd.Int64Index(range(475, 575), name='another_index'),
-- 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-py39-xdist.xml> -
=========================== short test summary info ============================
FAILED apache_beam/transforms/ptransform_test.py::PTransformTest::test_flatten_multiple_pcollections_having_multiple_consumers
FAILED apache_beam/transforms/ptransform_test.py::PTransformTest::test_flatten_a_flattened_pcollection
FAILED apache_beam/transforms/ptransform_test.py::PTransformTest::test_par_do_with_multiple_outputs_and_using_return
FAILED apache_beam/transforms/ptransform_test.py::PTransformTest::test_multiple_empty_outputs
FAILED apache_beam/transforms/combinefn_lifecycle_test.py::CombineFnLifecycleTest::test_non_liftable_combine
FAILED apache_beam/transforms/ptransform_test.py::PTransformTest::test_flatten_one_single_pcollection
FAILED apache_beam/transforms/sideinputs_test.py::SideInputsTest::test_reiterable_side_input
FAILED apache_beam/transforms/sideinputs_test.py::SideInputsTest::test_as_dict_twice
FAILED apache_beam/transforms/util_test.py::ReshuffleTest::test_reshuffle_preserves_timestamps
FAILED apache_beam/transforms/sideinputs_test.py::SideInputsTest::test_flattened_side_input
FAILED apache_beam/transforms/ptransform_test.py::PTransformTest::test_par_do_with_multiple_outputs_and_using_yield
FAILED apache_beam/transforms/dofn_lifecycle_test.py::DoFnLifecycleTest::test_dofn_lifecycle
FAILED apache_beam/transforms/sideinputs_test.py::SideInputsTest::test_as_list_and_as_dict_side_inputs
[31m====== [31m[1m13 failed[0m, [32m19 passed[0m, [33m4 skipped[0m, [33m50 warnings[0m[31m in 6200.71s (1:43:20)[0m[31m ======[0m
> Task :sdks:python:test-suites:dataflow:py39:validatesRunnerStreamingTests FAILED
FAILURE: Build completed with 2 failures.
1: Task 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: 232
* What went wrong:
Execution failed for task ':sdks:python:test-suites:dataflow:py39:validatesRunnerBatchTests'.
> 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.
==============================================================================
2: Task 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: 264
* What went wrong:
Execution failed for task ':sdks:python:test-suites:dataflow:py39: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 11m 33s
93 actionable tasks: 58 executed, 33 from cache, 2 up-to-date
Publishing build scan...
https://gradle.com/s/etm2t652qmyaw
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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