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Posted to builds@beam.apache.org by Apache Jenkins Server <je...@builds.apache.org> on 2022/10/20 22:03:28 UTC
Build failed in Jenkins: beam_PostCommit_Py_VR_Dataflow #9980
See <https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow/9980/display/redirect?page=changes>
Changes:
[noreply] Issue#23599 Updated dataframe notebook
[noreply] Added a missing line break.
[Chamikara Madhusanka Jayalath] Updating Python dependencies for the 2.43.0 release
[thiagotnunes] tests: fixes SpannerIO unavailable retry test
[noreply] Revert bigdataoss version upgrade (#23727)
[Chamikara Madhusanka Jayalath] Moving to 2.44.0-SNAPSHOT on master branch.
[noreply] Update the timeout in ValidatesContainer suite. (#23732)
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[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:913 Created job with id: [2022-10-20_14_49_00-9113799193675384630]
[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:914 Submitted job: 2022-10-20_14_49_00-9113799193675384630
[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:915 To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2022-10-20_14_49_00-9113799193675384630?project=apache-beam-testing
Worker logs: https://console.cloud.google.com/dataflow/jobs/us-central1/2022-10-20_14_49_00-9113799193675384630?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-central1/2022-10-20_14_49_00-9113799193675384630?project=apache-beam-testing
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:198 Job 2022-10-20_14_49_00-9113799193675384630 is in state JOB_STATE_RUNNING
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[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-10-20T21:49:01.462Z: JOB_MESSAGE_DETAILED: Autoscaling is enabled for job 2022-10-20_14_49_00-9113799193675384630. The number of workers will be between 1 and 100.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-10-20T21:49:01.512Z: JOB_MESSAGE_DETAILED: Autoscaling was automatically enabled for job 2022-10-20_14_49_00-9113799193675384630.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-10-20T21:49:16.441Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-10-20T21:49:18.376Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-10-20T21:49:18.406Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-10-20T21:49:18.466Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-10-20T21:49:18.504Z: JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into optimizable parts.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-10-20T21:49:18.539Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write steps
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-10-20T21:49:18.568Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-10-20T21:49:18.596Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-10-20T21:49:18.635Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-10-20T21:49:18.660Z: JOB_MESSAGE_DETAILED: Fusing consumer generate_metrics into ReadFromPubSub/Read
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-10-20T21:49:18.681Z: JOB_MESSAGE_DETAILED: Fusing consumer dump_to_pub/ToProtobuf into generate_metrics
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[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-10-20T21:49:18.743Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-10-20T21:49:18.777Z: JOB_MESSAGE_BASIC: Using cloud KMLS key to protect persistent state.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-10-20T21:49:18.865Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-10-20T21:49:18.886Z: 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 2022-10-20T21:49:18.949Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-10-20T21:49:19.008Z: JOB_MESSAGE_DEBUG: Starting worker pool setup.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-10-20T21:49:19.032Z: JOB_MESSAGE_DEBUG: Starting worker pool setup.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-10-20T21:49:19.050Z: JOB_MESSAGE_BASIC: Starting 1 workers in us-central1-b...
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-10-20T21:49:38.348Z: 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
> Task :sdks:python:test-suites:dataflow:py37:validatesRunnerStreamingTests
[gw7] [32mPASSED[0m apache_beam/transforms/sideinputs_test.py::SideInputsTest::test_reiterable_side_input
> Task :sdks:python:test-suites:dataflow:py39:validatesRunnerStreamingTests
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-10-20T21:49:58.773Z: 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:254 Timing out on waiting for job 2022-10-20_14_49_00-9113799193675384630 after 60 seconds
> Task :sdks:python:test-suites:dataflow:py37:validatesRunnerStreamingTests
[gw3] [32mPASSED[0m apache_beam/transforms/util_test.py::ReshuffleTest::test_reshuffle_preserves_timestamps
[33m=============================== warnings summary ===============================[0m
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<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow/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/ws/src/sdks/python/pytest_validatesRunnerStreamingTests-df-py37-xdist.xml> -
[33m============ [32m30 passed[0m, [33m[1m7 skipped[0m, [33m[1m9 warnings[0m[33m in 2974.75s (0:49:34)[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/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/ws/src/runners/google-cloud-dataflow-java/worker/build/libs/beam-runners-google-cloud-dataflow-java-fn-api-worker-2.44.0-SNAPSHOT.jar> --kms_key_name=projects/apache-beam-testing/locations/global/keyRings/beam-it/cryptoKeys/test --dataflow_kms_key=projects/apache-beam-testing/locations/global/keyRings/beam-it/cryptoKeys/test
>>> 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-7.1.3, pluggy-1.0.0
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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 6656 items / 6655 deselected / 4 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:325 Copying Beam SDK "<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow/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 root:environments.py:304 Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/python37-fnapi:beam-master-20221018" for Docker environment
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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-1020215052-636633-nthvafm2.1666302652.636817/requirements.txt 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-1020215052-636633-nthvafm2.1666302652.636817/pickled_main_session...
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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-1020215052-636633-nthvafm2.1666302652.636817/seaborn-0.12.1-py3-none-any.whl...
[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-1020215052-636633-nthvafm2.1666302652.636817/seaborn-0.12.1-py3-none-any.whl in 0 seconds.
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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-1020215052-636633-nthvafm2.1666302652.636817/pipeline.pb...
[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-1020215052-636633-nthvafm2.1666302652.636817/pipeline.pb in 0 seconds.
[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:913 Created job with id: [2022-10-20_14_51_01-10926082691767179726]
[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:914 Submitted job: 2022-10-20_14_51_01-10926082691767179726
[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-central1/2022-10-20_14_51_01-10926082691767179726?project=apache-beam-testing
Worker logs: https://console.cloud.google.com/dataflow/jobs/us-central1/2022-10-20_14_51_01-10926082691767179726?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-central1/2022-10-20_14_51_01-10926082691767179726?project=apache-beam-testing
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:198 Job 2022-10-20_14_51_01-10926082691767179726 is in state JOB_STATE_RUNNING
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-10-20T21:51:02.691Z: 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 2022-10-20T21:51:02.879Z: JOB_MESSAGE_DETAILED: Autoscaling is enabled for job 2022-10-20_14_51_01-10926082691767179726. The number of workers will be between 1 and 100.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-10-20T21:51:02.904Z: JOB_MESSAGE_DETAILED: Autoscaling was automatically enabled for job 2022-10-20_14_51_01-10926082691767179726.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-10-20T21:51:17.464Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-10-20T21:51:20.509Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-10-20T21:51:20.541Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-10-20T21:51:20.609Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-10-20T21:51:20.695Z: JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into optimizable parts.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-10-20T21:51:20.723Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write steps
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-10-20T21:51:20.747Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-10-20T21:51:20.778Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-10-20T21:51:20.814Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-10-20T21:51:20.854Z: JOB_MESSAGE_DETAILED: Fusing consumer generate_metrics into ReadFromPubSub/Read
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-10-20T21:51:20.878Z: JOB_MESSAGE_DETAILED: Fusing consumer dump_to_pub/ToProtobuf into generate_metrics
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-10-20T21:51:20.909Z: 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 2022-10-20T21:51:20.948Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-10-20T21:51:20.972Z: JOB_MESSAGE_BASIC: Using cloud KMLS key to protect persistent state.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-10-20T21:51:21.072Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-10-20T21:51:21.099Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-10-20T21:51:21.135Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-10-20T21:51:21.158Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-10-20T21:51:21.242Z: JOB_MESSAGE_DEBUG: Starting worker pool setup.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-10-20T21:51:21.264Z: JOB_MESSAGE_BASIC: Starting 1 workers in us-central1-b...
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-10-20T21:51:21.325Z: JOB_MESSAGE_DEBUG: Starting worker pool setup.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-10-20T21:51:36.772Z: 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 2022-10-20T21:52:02.959Z: 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 2022-10-20_14_51_01-10926082691767179726 after 60 seconds
> Task :sdks:python:test-suites:dataflow:py39:validatesRunnerStreamingTests
[32mPASSED[0m
[33m=============================== warnings summary ===============================[0m
../../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/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
<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
<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
<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-noxdist.xml> -
[33m==== [32m1 passed[0m, [33m[1m4 skipped[0m, [33m[1m6655 deselected[0m, [33m[1m5 warnings[0m[33m in 728.04s (0:12:08)[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/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/ws/src/sdks/python/pytest_validatesRunnerStreamingTests-df-py37-noxdist.xml> -
[33m===== [32m1 passed[0m, [33m[1m4 skipped[0m, [33m[1m6655 deselected[0m, [33m[1m1 warning[0m[33m in 764.81s (0:12:44)[0m[33m =====[0m
> Task :sdks:python:test-suites:dataflow:validatesRunnerStreamingTests
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: 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.
==============================================================================
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: 236
* 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.
==============================================================================
* 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 1h 43m 36s
97 actionable tasks: 64 executed, 31 from cache, 2 up-to-date
Publishing build scan...
https://gradle.com/s/qb5wnww5rug56
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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