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Posted to builds@beam.apache.org by Apache Jenkins Server <je...@builds.apache.org> on 2022/10/27 23:16:35 UTC
Build failed in Jenkins: beam_PostCommit_Py_VR_Dataflow_V2 #4095
See <https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/4095/display/redirect?page=changes>
Changes:
[Heejong Lee] [BEAM-23836] Updating documentation for cross-language Java pipelines
[Heejong Lee] update
[Heejong Lee] update
[Heejong Lee] update
[noreply] Add `arrow_type_compatibility` with `pyarrow.Table` to Beam Row
[noreply] Reduce log spam of Py37PostCommit (#23829)
[noreply] Actually use the DatsetService that will be auto-closed (#23873)
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[32mINFO [0m apache_beam.runners.dataflow.test_dataflow_runner:test_dataflow_runner.py:58 Console log:
[32mINFO [0m apache_beam.runners.dataflow.test_dataflow_runner:test_dataflow_runner.py:59 https://console.cloud.google.com/dataflow/jobs/us-central1/2022-10-27_15_56_16-5165141767115521954?project=apache-beam-testing
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[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-10-27T22:56:17.568Z: JOB_MESSAGE_WARNING: Autoscaling is enabled for Dataflow Streaming Engine. Workers will scale between 1 and 100 unless maxNumWorkers is specified.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-10-27T22:56:17.649Z: JOB_MESSAGE_DETAILED: Autoscaling is enabled for job 2022-10-27_15_56_16-5165141767115521954. The number of workers will be between 1 and 100.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-10-27T22:56:17.682Z: JOB_MESSAGE_DETAILED: Autoscaling was automatically enabled for job 2022-10-27_15_56_16-5165141767115521954.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-10-27T22:56:22.314Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-10-27T22:56:24.048Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-10-27T22:56:24.084Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-10-27T22:56:24.160Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-10-27T22:56:24.207Z: JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into optimizable parts.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-10-27T22:56:24.246Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write steps
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-10-27T22:56:24.351Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-10-27T22:56:24.387Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-10-27T22:56:24.440Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-10-27T22:56:24.480Z: JOB_MESSAGE_DETAILED: Fusing consumer generate_metrics into ReadFromPubSub/Read
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-10-27T22:56:24.525Z: JOB_MESSAGE_DETAILED: Fusing consumer dump_to_pub/ToProtobuf into generate_metrics
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-10-27T22:56:24.562Z: JOB_MESSAGE_DETAILED: Fusing consumer dump_to_pub/Write into dump_to_pub/ToProtobuf
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-10-27T22:56:24.612Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
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[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-10-27T22:56:24.710Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
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[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-10-27T22:56:24.952Z: JOB_MESSAGE_DEBUG: Starting worker pool setup.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-10-27T22:56:24.997Z: JOB_MESSAGE_BASIC: Starting 1 workers in us-central1-b...
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-10-27T22:56:44.298Z: 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
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[33mWARNING [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:254 Timing out on waiting for job 2022-10-27_15_56_16-5165141767115521954 after 60 seconds
> Task :sdks:python:test-suites:dataflow:py37:validatesRunnerStreamingTests
[gw6] [32mPASSED[0m apache_beam/transforms/sideinputs_test.py::SideInputsTest::test_flattened_side_input
[gw2] [32mPASSED[0m apache_beam/transforms/sideinputs_test.py::SideInputsTest::test_empty_singleton_side_input
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[gw5] [32mPASSED[0m apache_beam/transforms/sideinputs_test.py::SideInputsTest::test_reiterable_side_input
[33m=============================== warnings summary ===============================[0m
../../build/gradleenv/-1734967052/lib/python3.7/site-packages/hdfs/config.py:15
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../../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> -
[33m============ [32m32 passed[0m, [33m[1m6 skipped[0m, [33m[1m9 warnings[0m[33m in 3147.43s (0:52:27)[0m[33m ============[0m
>>> RUNNING integration tests with pipeline options: --runner=TestDataflowRunner --project=apache-beam-testing --region=us-central1 --staging_location=gs://temp-storage-for-end-to-end-tests/staging-it --temp_location=gs://temp-storage-for-end-to-end-tests/temp-it --output=gs://temp-storage-for-end-to-end-tests/py-it-cloud/output --sdk_location=<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/build/apache-beam.tar.gz> --requirements_file=postcommit_requirements.txt --num_workers=1 --sleep_secs=20 --streaming --dataflow_worker_jar=<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/runners/google-cloud-dataflow-java/worker/build/libs/beam-runners-google-cloud-dataflow-java-fn-api-worker-2.44.0-SNAPSHOT.jar> --experiments=use_runner_v2 --experiments=shuffle_mode=appliance --enable_streaming_engine
>>> pytest options: --capture=no --timeout=4500 --color=yes --log-cli-level=INFO
>>> collect markers: -m=it_validatesrunner and not no_sickbay_streaming and no_xdist
[1m============================= test session starts ==============================[0m
platform linux -- Python 3.7.12, pytest-7.2.0, pluggy-1.0.0
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plugins: hypothesis-6.56.3, xdist-2.5.0, timeout-2.1.0, forked-1.4.0, requests-mock-1.10.0
timeout: 4500.0s
timeout method: signal
timeout func_only: False
[1m----------------------------- live log collection ------------------------------[0m
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[33mWARNING [0m apache_beam.runners.interactive.interactive_environment:interactive_environment.py:200 You cannot use Interactive Beam features when you are not in an interactive environment such as a Jupyter notebook or ipython terminal.
[33mWARNING [0m root:avroio_test.py:54 python-snappy is not installed; some tests will be skipped.
[33mWARNING [0m root:tfrecordio_test.py:55 Tensorflow is not installed, so skipping some tests.
[32mINFO [0m root:environments.py:376 Default Python SDK image for environment is apache/beam_python3.7_sdk:2.44.0.dev
collected 6689 items / 6688 deselected / 5 skipped / 1 selected
apache_beam/runners/dataflow/dataflow_exercise_streaming_metrics_pipeline_test.py::ExerciseStreamingMetricsPipelineTest::test_streaming_pipeline_returns_expected_user_metrics_fnapi_it
[1m-------------------------------- live log call ---------------------------------[0m
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[32mINFO [0m apache_beam.runners.portability.stager:stager.py:330 Copying Beam SDK "<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/build/apache-beam.tar.gz"> to staging location.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:485 Pipeline has additional dependencies to be installed in SDK worker container, consider using the SDK container image pre-building workflow to avoid repetitive installations. Learn more on https://cloud.google.com/dataflow/docs/guides/using-custom-containers#prebuild
[32mINFO [0m root:environments.py:376 Default Python SDK image for environment is apache/beam_python3.7_sdk:2.44.0.dev
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[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:751 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-1027230412-151412-nthvafm2.1666911852.151593/PyHamcrest-1.10.1-py3-none-any.whl in 0 seconds.
[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:732 Starting GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-1027230412-151412-nthvafm2.1666911852.151593/beautifulsoup4-4.11.1-py3-none-any.whl...
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[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:732 Starting GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-1027230412-151412-nthvafm2.1666911852.151593/dataflow_python_sdk.tar...
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[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:732 Starting GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-1027230412-151412-nthvafm2.1666911852.151593/pipeline.pb...
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[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:911 Create job: <Job
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[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:914 Submitted job: 2022-10-27_16_04_19-3747489743761291916
[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:920 To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2022-10-27_16_04_19-3747489743761291916?project=apache-beam-testing
Worker logs: https://console.cloud.google.com/dataflow/jobs/us-central1/2022-10-27_16_04_19-3747489743761291916?project=apache-beam-testing
[32mINFO [0m apache_beam.runners.dataflow.test_dataflow_runner:test_dataflow_runner.py:58 Console log:
[32mINFO [0m apache_beam.runners.dataflow.test_dataflow_runner:test_dataflow_runner.py:59 https://console.cloud.google.com/dataflow/jobs/us-central1/2022-10-27_16_04_19-3747489743761291916?project=apache-beam-testing
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[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-10-27T23:04:21.288Z: JOB_MESSAGE_DETAILED: Autoscaling is enabled for job 2022-10-27_16_04_19-3747489743761291916. The number of workers will be between 1 and 100.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-10-27T23:04:21.318Z: JOB_MESSAGE_DETAILED: Autoscaling was automatically enabled for job 2022-10-27_16_04_19-3747489743761291916.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-10-27T23:04:26.202Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-10-27T23:04:28.289Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-10-27T23:04:28.325Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-10-27T23:04:28.408Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-10-27T23:04:28.504Z: JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into optimizable parts.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-10-27T23:04:28.544Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write steps
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-10-27T23:04:28.583Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-10-27T23:04:28.615Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-10-27T23:04:28.720Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-10-27T23:04:28.759Z: JOB_MESSAGE_DETAILED: Fusing consumer generate_metrics into ReadFromPubSub/Read
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-10-27T23:04:28.785Z: JOB_MESSAGE_DETAILED: Fusing consumer dump_to_pub/ToProtobuf into generate_metrics
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-10-27T23:04:28.816Z: JOB_MESSAGE_DETAILED: Fusing consumer dump_to_pub/Write into dump_to_pub/ToProtobuf
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-10-27T23:04:28.902Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-10-27T23:04:28.974Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-10-27T23:04:29.009Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-10-27T23:04:29.038Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-10-27T23:04:29.073Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-10-27T23:04:29.256Z: JOB_MESSAGE_DEBUG: Starting worker pool setup.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-10-27T23:04:29.288Z: JOB_MESSAGE_BASIC: Starting 1 workers in us-central1-b...
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-10-27T23:04:29.370Z: JOB_MESSAGE_DEBUG: Starting worker pool setup.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-10-27T23:05:04.474Z: 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
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-10-27T23:05:11.192Z: 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.
[33mWARNING [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:257 Timing out on waiting for job 2022-10-27_16_04_19-3747489743761291916 after 61 seconds
> Task :sdks:python:test-suites:dataflow:py310:validatesRunnerStreamingTests
[32mPASSED[0m
[33m=============================== warnings summary ===============================[0m
../../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
from imp import load_source
../../build/gradleenv/2050596098/lib/python3.10/site-packages/google/api_core/operations_v1/abstract_operations_client.py:17
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/build/gradleenv/2050596098/lib/python3.10/site-packages/google/api_core/operations_v1/abstract_operations_client.py>:17: DeprecationWarning: The distutils package is deprecated and slated for removal in Python 3.12. Use setuptools or check PEP 632 for potential alternatives
from distutils import util
../../build/gradleenv/2050596098/lib/python3.10/site-packages/tenacity/_asyncio.py:42
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/build/gradleenv/2050596098/lib/python3.10/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
<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
<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
<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'),
apache_beam/runners/dataflow/dataflow_exercise_streaming_metrics_pipeline_test.py::ExerciseStreamingMetricsPipelineTest::test_streaming_pipeline_returns_expected_user_metrics_fnapi_it
apache_beam/runners/dataflow/dataflow_exercise_streaming_metrics_pipeline_test.py::ExerciseStreamingMetricsPipelineTest::test_streaming_pipeline_returns_expected_user_metrics_fnapi_it
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/build/gradleenv/2050596098/lib/python3.10/site-packages/httplib2/__init__.py>:147: DeprecationWarning: ssl.PROTOCOL_TLS is deprecated
context = ssl.SSLContext(DEFAULT_TLS_VERSION)
-- 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> -
[33m==== [32m1 passed[0m, [33m[1m5 skipped[0m, [33m[1m6688 deselected[0m, [33m[1m8 warnings[0m[33m in 732.69s (0:12:12)[0m[33m =====[0m
> Task :sdks:python:test-suites:dataflow:py37:validatesRunnerStreamingTests
[32mPASSED[0m
[33m=============================== warnings summary ===============================[0m
../../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-noxdist.xml> -
[33m===== [32m1 passed[0m, [33m[1m5 skipped[0m, [33m[1m6688 deselected[0m, [33m[1m1 warning[0m[33m in 747.41s (0:12:27)[0m[33m =====[0m
> Task :sdks:python:test-suites:dataflow:validatesRunnerStreamingTestsV2
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: 236
* What went wrong:
Execution failed for task ':sdks:python:test-suites:dataflow:py310: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: 236
* What went wrong:
Execution failed for task ':sdks:python:test-suites:dataflow:py37: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.
==============================================================================
* 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 7m 59s
97 actionable tasks: 64 executed, 31 from cache, 2 up-to-date
Publishing build scan...
https://gradle.com/s/pkauisjtscakw
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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