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Posted to builds@beam.apache.org by Apache Jenkins Server <je...@builds.apache.org> on 2022/10/05 04:53:13 UTC
Build failed in Jenkins: beam_PostCommit_Py_VR_Dataflow #9917
See <https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow/9917/display/redirect>
Changes:
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[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-10-05T04:42:22.560Z: JOB_MESSAGE_ERROR: Workflow failed.
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[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-10-05T04:48:03.608Z: 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-100503370-10042037-v2v4-harness-q8g1' 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 2022-10-05T04:48:03.636Z: JOB_MESSAGE_ERROR: Workflow failed.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-10-05T04:48:13.990Z: 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-100503370-10042037-v2v4-harness-q8g1' 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 2022-10-05T04:48:14.010Z: JOB_MESSAGE_ERROR: Workflow failed.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-10-05T04:48:24.320Z: 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-100503370-10042037-v2v4-harness-q8g1' 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 2022-10-05T04:48:24.348Z: JOB_MESSAGE_ERROR: Workflow failed.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-10-05T04:48:34.616Z: 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-100503370-10042037-v2v4-harness-q8g1' 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 2022-10-05T04:48:34.643Z: JOB_MESSAGE_ERROR: Workflow failed.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-10-05T04:48:45.038Z: 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-100503370-10042037-v2v4-harness-q8g1' 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 2022-10-05T04:48:45.060Z: JOB_MESSAGE_ERROR: Workflow failed.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-10-05T04:48:55.380Z: 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-100503370-10042037-v2v4-harness-q8g1' 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 2022-10-05T04:48:55.406Z: JOB_MESSAGE_ERROR: Workflow failed.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-10-05T04:49:05.713Z: 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-100503370-10042037-v2v4-harness-q8g1' 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 2022-10-05T04:49:05.742Z: JOB_MESSAGE_ERROR: Workflow failed.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-10-05T04:49:16.059Z: 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-100503370-10042037-v2v4-harness-q8g1' 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 2022-10-05T04:49:16.084Z: JOB_MESSAGE_ERROR: Workflow failed.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-10-05T04:49:26.331Z: 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-100503370-10042037-v2v4-harness-q8g1' 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 2022-10-05T04:49:26.357Z: JOB_MESSAGE_ERROR: Workflow failed.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-10-05T04:49:36.659Z: 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-100503370-10042037-v2v4-harness-q8g1' 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 2022-10-05T04:49:36.686Z: JOB_MESSAGE_ERROR: Workflow failed.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-10-05T04:49:46.932Z: 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-100503370-10042037-v2v4-harness-q8g1' 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 2022-10-05T04:49:46.958Z: JOB_MESSAGE_ERROR: Workflow failed.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-10-05T04:49:57.329Z: 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-100503370-10042037-v2v4-harness-q8g1' 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 2022-10-05T04:49:57.357Z: JOB_MESSAGE_ERROR: Workflow failed.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-10-05T04:50:07.678Z: 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-100503370-10042037-v2v4-harness-q8g1' 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 2022-10-05T04:50:07.705Z: JOB_MESSAGE_ERROR: Workflow failed.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-10-05T04:50:18.048Z: 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-100503370-10042037-v2v4-harness-q8g1' 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 2022-10-05T04:50:18.075Z: JOB_MESSAGE_ERROR: Workflow failed.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-10-05T04:50:28.482Z: 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-100503370-10042037-v2v4-harness-q8g1' 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 2022-10-05T04:50:28.507Z: JOB_MESSAGE_ERROR: Workflow failed.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-10-05T04:50:38.914Z: 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-100503370-10042037-v2v4-harness-q8g1' 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 2022-10-05T04:50:38.942Z: JOB_MESSAGE_ERROR: Workflow failed.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-10-05T04:50:49.387Z: 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-100503370-10042037-v2v4-harness-q8g1' 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 2022-10-05T04:50:49.404Z: JOB_MESSAGE_ERROR: Workflow failed.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-10-05T04:50:59.666Z: 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-100503370-10042037-v2v4-harness-q8g1' 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 2022-10-05T04:50:59.689Z: JOB_MESSAGE_ERROR: Workflow failed.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-10-05T04:51:09.999Z: 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-100503370-10042037-v2v4-harness-q8g1' 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 2022-10-05T04:51:10.020Z: JOB_MESSAGE_ERROR: Workflow failed.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-10-05T04:51:20.341Z: 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-100503370-10042037-v2v4-harness-q8g1' 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 2022-10-05T04:51:20.359Z: JOB_MESSAGE_ERROR: Workflow failed.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-10-05T04:51:30.636Z: 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-100503370-10042037-v2v4-harness-q8g1' 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 2022-10-05T04:51:30.661Z: JOB_MESSAGE_ERROR: Workflow failed.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-10-05T04:51:40.920Z: 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-100503370-10042037-v2v4-harness-q8g1' 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 2022-10-05T04:51:40.945Z: JOB_MESSAGE_ERROR: Workflow failed.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-10-05T04:51:51.381Z: 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-100503370-10042037-v2v4-harness-q8g1' 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 2022-10-05T04:51:51.402Z: JOB_MESSAGE_ERROR: Workflow failed.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-10-05T04:52:01.698Z: 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-100503370-10042037-v2v4-harness-q8g1' 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 2022-10-05T04:52:01.723Z: JOB_MESSAGE_ERROR: Workflow failed.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:197 Job 2022-10-04_20_37_56-16137457924710267180 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/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/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/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/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/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/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/ws/src/sdks/python/pytest_validatesRunnerStreamingTests-df-py39-xdist.xml> -
=========================== short test summary info ============================
FAILED apache_beam/transforms/sideinputs_test.py::SideInputsTest::test_as_dict_twice
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_par_do_with_multiple_outputs_and_using_yield
FAILED apache_beam/transforms/sideinputs_test.py::SideInputsTest::test_reiterable_side_input
FAILED apache_beam/transforms/sideinputs_test.py::SideInputsTest::test_empty_singleton_side_input
FAILED apache_beam/transforms/sideinputs_test.py::SideInputsTest::test_default_value_singleton_side_input
FAILED apache_beam/transforms/sideinputs_test.py::SideInputsTest::test_flattened_side_input
FAILED apache_beam/transforms/util_test.py::ReshuffleTest::test_reshuffle_preserves_timestamps
FAILED apache_beam/transforms/sideinputs_test.py::SideInputsTest::test_as_list_twice
FAILED apache_beam/transforms/sideinputs_test.py::SideInputsTest::test_as_singleton_with_different_defaults
[31m====== [31m[1m10 failed[0m, [32m20 passed[0m, [33m6 skipped[0m, [33m50 warnings[0m[31m in 6201.44s (1:43:21)[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/ws/src/sdks/python/test-suites/dataflow/common.gradle'> line: 264
* 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.
==============================================================================
2: Task failed with an exception.
-----------
* Where:
Script '<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow/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 33m 43s
100 actionable tasks: 65 executed, 33 from cache, 2 up-to-date
Publishing build scan...
https://gradle.com/s/e4ghr4iwx3srq
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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