See <https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/4766/display/redirect>
Changes: ------------------------------------------ [...truncated 95.11 KB...] apache_beam/typehints/pandas_type_compatibility_test.py:67 <https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/apache_beam/typehints/pandas_type_compatibility_test.py>:67: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. 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Use pandas.Index with the appropriate dtype instead. pd.Int64Index(range(123, 223), name='an_index'), apache_beam/typehints/pandas_type_compatibility_test.py:91 apache_beam/typehints/pandas_type_compatibility_test.py:91 apache_beam/typehints/pandas_type_compatibility_test.py:91 apache_beam/typehints/pandas_type_compatibility_test.py:91 apache_beam/typehints/pandas_type_compatibility_test.py:91 apache_beam/typehints/pandas_type_compatibility_test.py:91 apache_beam/typehints/pandas_type_compatibility_test.py:91 apache_beam/typehints/pandas_type_compatibility_test.py:91 <https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/apache_beam/typehints/pandas_type_compatibility_test.py>:91: 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/ml/inference/base_test.py::RunInferenceBaseTest::test_run_inference_with_side_inputin_streaming <https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/apache_beam/ml/inference/base_test.py>:517: BeamDeprecationWarning: options is deprecated since First stable release. References to <pipeline>.options will not be supported test_pipeline.options.view_as(StandardOptions).streaming = True -- 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-py311-xdist.xml> - [33m========== [32m34 passed[0m, [33m[1m10 skipped[0m, [33m[1m393 warnings[0m[33m in 2301.27s (0:38:21)[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-2.48.0.dev0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl> >>> --requirements_file=postcommit_requirements.txt --num_workers=1 >>> --sleep_secs=20 --streaming --experiments=use_runner_v2 >>> --enable_streaming_engine >>> --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 3.11.2, pytest-7.3.0, pluggy-1.0.0 rootdir: <https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python> configfile: pytest.ini plugins: hypothesis-6.71.0, xdist-3.2.1, timeout-2.1.0, requests-mock-1.10.0 timeout: 4500.0s timeout method: signal timeout func_only: False [1m----------------------------- live log collection ------------------------------[0m [33mWARNING [0m apache_beam.runners.interactive.interactive_environment:interactive_environment.py:190 Dependencies required for Interactive Beam PCollection visualization are not available, please use: `pip install apache-beam[interactive]` to install necessary dependencies to enable all data visualization features. 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[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:750 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0413222121-946895-nthvafm2.1681424481.947194/matplotlib-3.7.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl in 0 seconds. [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:734 Starting GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0413222121-946895-nthvafm2.1681424481.947194/scikit_learn-1.0.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl... [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:750 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0413222121-946895-nthvafm2.1681424481.947194/scikit_learn-1.0.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl in 1 seconds. [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:734 Starting GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0413222121-946895-nthvafm2.1681424481.947194/scikit_learn-1.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl... [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:750 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0413222121-946895-nthvafm2.1681424481.947194/scikit_learn-1.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl in 1 seconds. [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:734 Starting GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0413222121-946895-nthvafm2.1681424481.947194/scikit_learn-1.0.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl... [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:750 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0413222121-946895-nthvafm2.1681424481.947194/scikit_learn-1.0.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl in 1 seconds. [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:734 Starting GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0413222121-946895-nthvafm2.1681424481.947194/apache_beam-2.48.0.dev0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl... [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:750 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0413222121-946895-nthvafm2.1681424481.947194/apache_beam-2.48.0.dev0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl in 0 seconds. [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:734 Starting GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0413222121-946895-nthvafm2.1681424481.947194/pipeline.pb... [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:750 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0413222121-946895-nthvafm2.1681424481.947194/pipeline.pb in 0 seconds. [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:909 Create job: <Job clientRequestId: '20230413222121948673-2535' createTime: '2023-04-13T22:21:36.491587Z' currentStateTime: '1970-01-01T00:00:00Z' id: '2023-04-13_15_21_36-13691815324158710130' location: 'us-central1' name: 'beamapp-jenkins-0413222121-946895-nthvafm2' projectId: 'apache-beam-testing' stageStates: [] startTime: '2023-04-13T22:21:36.491587Z' steps: [] tempFiles: [] type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)> [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:911 Created job with id: [2023-04-13_15_21_36-13691815324158710130] [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:912 Submitted job: 2023-04-13_15_21_36-13691815324158710130 [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:913 To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-04-13_15_21_36-13691815324158710130?project=apache-beam-testing Worker logs: https://console.cloud.google.com/dataflow/jobs/us-central1/2023-04-13_15_21_36-13691815324158710130?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-central1/2023-04-13_15_21_36-13691815324158710130?project=apache-beam-testing [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:193 Job 2023-04-13_15_21_36-13691815324158710130 is in state JOB_STATE_RUNNING [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-04-13T22:21:38.481Z: 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:238 2023-04-13T22:21:38.573Z: JOB_MESSAGE_DETAILED: Autoscaling is enabled for job 2023-04-13_15_21_36-13691815324158710130. The number of workers will be between 1 and 100. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-04-13T22:21:38.605Z: JOB_MESSAGE_DETAILED: Autoscaling was automatically enabled for job 2023-04-13_15_21_36-13691815324158710130. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-04-13T22:21:48.828Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-04-13T22:21:50.834Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-04-13T22:21:50.861Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-04-13T22:21:50.915Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-04-13T22:21:50.954Z: JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into optimizable parts. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-04-13T22:21:50.974Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write steps [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-04-13T22:21:51.007Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-04-13T22:21:51.034Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-04-13T22:21:51.069Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-04-13T22:21:51.098Z: JOB_MESSAGE_DETAILED: Fusing consumer generate_metrics into ReadFromPubSub/Read [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-04-13T22:21:51.119Z: JOB_MESSAGE_DETAILED: Fusing consumer dump_to_pub/ToProtobuf into generate_metrics [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-04-13T22:21:51.152Z: 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:238 2023-04-13T22:21:51.180Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-04-13T22:21:51.217Z: JOB_MESSAGE_BASIC: Using cloud KMLS key to protect persistent state. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-04-13T22:21:51.323Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-04-13T22:21:51.357Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-04-13T22:21:51.392Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-04-13T22:21:51.417Z: JOB_MESSAGE_DEBUG: Assigning stage ids. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-04-13T22:21:51.594Z: JOB_MESSAGE_DEBUG: Starting worker pool setup. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-04-13T22:21:51.630Z: JOB_MESSAGE_BASIC: Starting 1 workers in us-central1-b... [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-04-13T22:21:51.668Z: JOB_MESSAGE_DEBUG: Starting worker pool setup. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:238 2023-04-13T22:22:19.853Z: 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:238 2023-04-13T22:22:29.474Z: 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:249 Timing out on waiting for job 2023-04-13_15_21_36-13691815324158710130 after 60 seconds [32mPASSED[0m [33m=============================== warnings summary ===============================[0m ../../build/gradleenv/2050596099/lib/python3.11/site-packages/hdfs/config.py:15 <https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/build/gradleenv/2050596099/lib/python3.11/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/2050596099/lib/python3.11/site-packages/pkg_resources/__init__.py:121 <https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/build/gradleenv/2050596099/lib/python3.11/site-packages/pkg_resources/__init__.py>:121: DeprecationWarning: pkg_resources is deprecated as an API warnings.warn("pkg_resources is deprecated as an API", DeprecationWarning) ../../build/gradleenv/2050596099/lib/python3.11/site-packages/pkg_resources/__init__.py:2870: 18 warnings <https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/build/gradleenv/2050596099/lib/python3.11/site-packages/pkg_resources/__init__.py>:2870: DeprecationWarning: Deprecated call to `pkg_resources.declare_namespace('google')`. Implementing implicit namespace packages (as specified in PEP 420) is preferred to `pkg_resources.declare_namespace`. See https://setuptools.pypa.io/en/latest/references/keywords.html#keyword-namespace-packages declare_namespace(pkg) ../../build/gradleenv/2050596099/lib/python3.11/site-packages/pkg_resources/__init__.py:2870: 13 warnings <https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/build/gradleenv/2050596099/lib/python3.11/site-packages/pkg_resources/__init__.py>:2870: DeprecationWarning: Deprecated call to `pkg_resources.declare_namespace('google.cloud')`. Implementing implicit namespace packages (as specified in PEP 420) is preferred to `pkg_resources.declare_namespace`. See https://setuptools.pypa.io/en/latest/references/keywords.html#keyword-namespace-packages declare_namespace(pkg) ../../build/gradleenv/2050596099/lib/python3.11/site-packages/pkg_resources/__init__.py:2349 ../../build/gradleenv/2050596099/lib/python3.11/site-packages/pkg_resources/__init__.py:2349 ../../build/gradleenv/2050596099/lib/python3.11/site-packages/pkg_resources/__init__.py:2349 ../../build/gradleenv/2050596099/lib/python3.11/site-packages/pkg_resources/__init__.py:2349 <https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/build/gradleenv/2050596099/lib/python3.11/site-packages/pkg_resources/__init__.py>:2349: DeprecationWarning: Deprecated call to `pkg_resources.declare_namespace('google')`. Implementing implicit namespace packages (as specified in PEP 420) is preferred to `pkg_resources.declare_namespace`. See https://setuptools.pypa.io/en/latest/references/keywords.html#keyword-namespace-packages declare_namespace(parent) ../../build/gradleenv/2050596099/lib/python3.11/site-packages/pkg_resources/__init__.py:2870 <https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/build/gradleenv/2050596099/lib/python3.11/site-packages/pkg_resources/__init__.py>:2870: DeprecationWarning: Deprecated call to `pkg_resources.declare_namespace('google.logging')`. Implementing implicit namespace packages (as specified in PEP 420) is preferred to `pkg_resources.declare_namespace`. See https://setuptools.pypa.io/en/latest/references/keywords.html#keyword-namespace-packages declare_namespace(pkg) ../../build/gradleenv/2050596099/lib/python3.11/site-packages/pkg_resources/__init__.py:2870 <https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/build/gradleenv/2050596099/lib/python3.11/site-packages/pkg_resources/__init__.py>:2870: DeprecationWarning: Deprecated call to `pkg_resources.declare_namespace('google.iam')`. Implementing implicit namespace packages (as specified in PEP 420) is preferred to `pkg_resources.declare_namespace`. See https://setuptools.pypa.io/en/latest/references/keywords.html#keyword-namespace-packages declare_namespace(pkg) ../../build/gradleenv/2050596099/lib/python3.11/site-packages/google/rpc/__init__.py:20 <https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/build/gradleenv/2050596099/lib/python3.11/site-packages/google/rpc/__init__.py>:20: DeprecationWarning: Deprecated call to `pkg_resources.declare_namespace('google.rpc')`. Implementing implicit namespace packages (as specified in PEP 420) is preferred to `pkg_resources.declare_namespace`. See https://setuptools.pypa.io/en/latest/references/keywords.html#keyword-namespace-packages pkg_resources.declare_namespace(__name__) ../../build/gradleenv/2050596099/lib/python3.11/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/2050596099/lib/python3.11/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 apache_beam/typehints/pandas_type_compatibility_test.py:67 <https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/apache_beam/typehints/pandas_type_compatibility_test.py>:67: 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: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(123, 223), name='an_index'), apache_beam/typehints/pandas_type_compatibility_test.py:91 <https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/apache_beam/typehints/pandas_type_compatibility_test.py>:91: 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-py311-noxdist.xml> - [33m==== [32m1 passed[0m, [33m[1m9 skipped[0m, [33m[1m6875 deselected[0m, [33m[1m44 warnings[0m[33m in 380.80s (0:06:20)[0m[33m ====[0m FAILURE: Build failed with an exception. * What went wrong: Execution failed for task ':sdks:python:test-suites:dataflow:py37:setupVirtualenv'. > 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 18m 43s 20 actionable tasks: 14 executed, 4 from cache, 2 up-to-date Publishing build scan... https://gradle.com/s/kayt4rb3kvoz2 Build step 'Invoke Gradle script' changed build result to FAILURE Build step 'Invoke Gradle script' marked build as failure --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
