See <https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow/9489/display/redirect>
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[33mWARNING [0m apache_beam.options.pipeline_options:pipeline_options.py:336 Discarding unparseable args: ['--sleep_secs=20', '--kms_key_name=projects/apache-beam-testing/locations/global/keyRings/beam-it/cryptoKeys/test'] [33mWARNING [0m apache_beam.options.pipeline_options:pipeline_options.py:336 Discarding unparseable args: ['--sleep_secs=20', '--kms_key_name=projects/apache-beam-testing/locations/global/keyRings/beam-it/cryptoKeys/test'] [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:897 Create job: <Job clientRequestId: '20220619213251401587-2535' createTime: '2022-06-19T21:33:00.486803Z' currentStateTime: '1970-01-01T00:00:00Z' id: '2022-06-19_14_33_00-18301208838866999423' location: 'us-central1' name: 'beamapp-jenkins-0619213251-400398-nthvafm2' projectId: 'apache-beam-testing' stageStates: [] startTime: '2022-06-19T21:33:00.486803Z' steps: [] tempFiles: [] type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)> [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:899 Created job with id: [2022-06-19_14_33_00-18301208838866999423] [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:900 Submitted job: 2022-06-19_14_33_00-18301208838866999423 [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:901 To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2022-06-19_14_33_00-18301208838866999423?project=apache-beam-testing Worker logs: https://console.cloud.google.com/dataflow/jobs/us-central1/2022-06-19_14_33_00-18301208838866999423?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-central1/2022-06-19_14_33_00-18301208838866999423?project=apache-beam-testing [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:197 Job 2022-06-19_14_33_00-18301208838866999423 is in state JOB_STATE_RUNNING [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-06-19T21:33:00.140Z: JOB_MESSAGE_BASIC: Dataflow Runner V2 auto-enabled. 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[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-06-19T21:33:06.778Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-06-19T21:33:08.816Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-06-19T21:33:08.846Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-06-19T21:33:08.931Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-06-19T21:33:08.975Z: JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into optimizable parts. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-06-19T21:33:09.024Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write steps [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-06-19T21:33:09.062Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-06-19T21:33:09.109Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-06-19T21:33:09.148Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-06-19T21:33:09.182Z: JOB_MESSAGE_DETAILED: Fusing consumer generate_metrics into ReadFromPubSub/Read [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-06-19T21:33:09.220Z: JOB_MESSAGE_DETAILED: Fusing consumer dump_to_pub/ToProtobuf into generate_metrics [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-06-19T21:33:09.253Z: 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:242 2022-06-19T21:33:09.286Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-06-19T21:33:09.314Z: JOB_MESSAGE_BASIC: Using cloud KMLS key to protect persistent state. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-06-19T21:33:09.407Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-06-19T21:33:09.436Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-06-19T21:33:09.465Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-06-19T21:33:09.497Z: JOB_MESSAGE_DEBUG: Assigning stage ids. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-06-19T21:33:09.551Z: JOB_MESSAGE_DEBUG: Starting worker pool setup. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-06-19T21:33:09.578Z: JOB_MESSAGE_DEBUG: Starting worker pool setup. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-06-19T21:33:09.596Z: JOB_MESSAGE_BASIC: Starting 1 workers in us-central1-b... [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-06-19T21:33:23.909Z: 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:242 2022-06-19T21:33:47.126Z: 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. > Task :sdks:python:test-suites:dataflow:py37:validatesRunnerStreamingTests [gw2] [32mPASSED[0m apache_beam/transforms/sideinputs_test.py::SideInputsTest::test_reiterable_side_input [gw4] [32mPASSED[0m apache_beam/transforms/util_test.py::ReshuffleTest::test_reshuffle_preserves_timestamps - generated xml file: <https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow/ws/src/sdks/python/pytest_validatesRunnerStreamingTests-df-py37-xdist.xml> - [32m[1m=================== 30 passed, 4 skipped in 2472.38 seconds ====================[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-2.41.0-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-4.6.11, py-1.11.0, pluggy-0.13.1 rootdir: <https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow/ws/src/sdks/python,> inifile: pytest.ini plugins: xdist-1.34.0, timeout-1.4.2, forked-1.4.0, requests-mock-1.9.3 timeout: 4500.0s timeout method: signal timeout func_only: False [1m----------------------------- live log collection ------------------------------[0m [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. [33mWARNING [0m apache_beam.runners.interactive.interactive_environment:interactive_environment.py:191 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. [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. [32mINFO [0m root:environments.py:376 Default Python SDK image for environment is apache/beam_python3.7_sdk:2.41.0.dev > Task :sdks:python:test-suites:dataflow:py39:validatesRunnerStreamingTests [33mWARNING [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:253 Timing out on waiting for job 2022-06-19_14_33_00-18301208838866999423 after 60 seconds > Task :sdks:python:test-suites:dataflow:py37:validatesRunnerStreamingTests collected 5760 items / 5759 deselected / 1 skipped 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 [32mINFO [0m apache_beam.runners.portability.stager:stager.py:754 Executing command: ['<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow/ws/src/build/gradleenv/-1734967052/bin/python3.7',> '-m', 'pip', 'download', '--dest', '/tmp/dataflow-requirements-cache', '-r', '/tmp/tmpkcwh37dx/tmp_requirements.txt', '--exists-action', 'i', '--no-deps', '--implementation', 'cp', '--abi', 'cp37m', '--platform', 'manylinux2014_x86_64'] [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:478 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:2.41.0.dev [32mINFO [0m root:environments.py:296 Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/python37-fnapi:beam-master-20220617 [32mINFO [0m root:environments.py:304 Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/python37-fnapi:beam-master-20220617" for Docker environment [32mINFO [0m apache_beam.internal.gcp.auth:auth.py:136 Setting socket default timeout to 60 seconds. [32mINFO [0m apache_beam.internal.gcp.auth:auth.py:139 socket default timeout is 60.0 seconds. [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:718 Starting GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0619213428-366738-nthvafm2.1655674468.366954/requirements.txt... [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:737 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0619213428-366738-nthvafm2.1655674468.366954/requirements.txt in 0 seconds. [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:718 Starting GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0619213428-366738-nthvafm2.1655674468.366954/pickled_main_session... [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:737 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0619213428-366738-nthvafm2.1655674468.366954/pickled_main_session in 0 seconds. [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:718 Starting GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0619213428-366738-nthvafm2.1655674468.366954/mock-2.0.0-py2.py3-none-any.whl... [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:737 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0619213428-366738-nthvafm2.1655674468.366954/mock-2.0.0-py2.py3-none-any.whl in 0 seconds. [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:718 Starting GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0619213428-366738-nthvafm2.1655674468.366954/seaborn-0.11.2-py3-none-any.whl... [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:737 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0619213428-366738-nthvafm2.1655674468.366954/seaborn-0.11.2-py3-none-any.whl in 0 seconds. [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:718 Starting GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0619213428-366738-nthvafm2.1655674468.366954/PyHamcrest-1.10.1-py3-none-any.whl... [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:737 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0619213428-366738-nthvafm2.1655674468.366954/PyHamcrest-1.10.1-py3-none-any.whl in 0 seconds. [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:718 Starting GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0619213428-366738-nthvafm2.1655674468.366954/beautifulsoup4-4.11.1-py3-none-any.whl... [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:737 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0619213428-366738-nthvafm2.1655674468.366954/beautifulsoup4-4.11.1-py3-none-any.whl in 0 seconds. [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:718 Starting GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0619213428-366738-nthvafm2.1655674468.366954/parameterized-0.7.5-py2.py3-none-any.whl... [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:737 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0619213428-366738-nthvafm2.1655674468.366954/parameterized-0.7.5-py2.py3-none-any.whl in 0 seconds. [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:718 Starting GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0619213428-366738-nthvafm2.1655674468.366954/matplotlib-3.5.2-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.whl... [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:737 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0619213428-366738-nthvafm2.1655674468.366954/matplotlib-3.5.2-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.whl in 0 seconds. [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:718 Starting GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0619213428-366738-nthvafm2.1655674468.366954/matplotlib-3.5.2-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.whl... [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:737 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0619213428-366738-nthvafm2.1655674468.366954/matplotlib-3.5.2-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.whl in 0 seconds. [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:718 Starting GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0619213428-366738-nthvafm2.1655674468.366954/matplotlib-3.5.2-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl... [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:737 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0619213428-366738-nthvafm2.1655674468.366954/matplotlib-3.5.2-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl in 0 seconds. [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:718 Starting GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0619213428-366738-nthvafm2.1655674468.366954/dataflow_python_sdk.tar... [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:737 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0619213428-366738-nthvafm2.1655674468.366954/dataflow_python_sdk.tar in 0 seconds. [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:718 Starting GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0619213428-366738-nthvafm2.1655674468.366954/dataflow-worker.jar... [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:737 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0619213428-366738-nthvafm2.1655674468.366954/dataflow-worker.jar in 5 seconds. [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:718 Starting GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0619213428-366738-nthvafm2.1655674468.366954/pipeline.pb... [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:737 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0619213428-366738-nthvafm2.1655674468.366954/pipeline.pb in 0 seconds. [33mWARNING [0m apache_beam.options.pipeline_options:pipeline_options.py:336 Discarding unparseable args: ['--sleep_secs=20', '--kms_key_name=projects/apache-beam-testing/locations/global/keyRings/beam-it/cryptoKeys/test'] [33mWARNING [0m apache_beam.options.pipeline_options:pipeline_options.py:336 Discarding unparseable args: ['--sleep_secs=20', '--kms_key_name=projects/apache-beam-testing/locations/global/keyRings/beam-it/cryptoKeys/test'] [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:897 Create job: <Job clientRequestId: '20220619213428368027-2535' createTime: '2022-06-19T21:34:38.129842Z' currentStateTime: '1970-01-01T00:00:00Z' id: '2022-06-19_14_34_37-11328716904138294463' location: 'us-central1' name: 'beamapp-jenkins-0619213428-366738-nthvafm2' projectId: 'apache-beam-testing' stageStates: [] startTime: '2022-06-19T21:34:38.129842Z' steps: [] tempFiles: [] type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)> [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:899 Created job with id: [2022-06-19_14_34_37-11328716904138294463] [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:900 Submitted job: 2022-06-19_14_34_37-11328716904138294463 [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:906 To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2022-06-19_14_34_37-11328716904138294463?project=apache-beam-testing Worker logs: https://console.cloud.google.com/dataflow/jobs/us-central1/2022-06-19_14_34_37-11328716904138294463?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-central1/2022-06-19_14_34_37-11328716904138294463?project=apache-beam-testing [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:197 Job 2022-06-19_14_34_37-11328716904138294463 is in state JOB_STATE_RUNNING [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-06-19T21:34:37.233Z: JOB_MESSAGE_BASIC: Dataflow Runner V2 auto-enabled. Use --experiments=disable_runner_v2 to opt out. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-06-19T21:34:37.233Z: JOB_MESSAGE_BASIC: Streaming Engine auto-enabled. Use --experiments=disable_streaming_engine to opt out. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-06-19T21:34:38.642Z: 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:242 2022-06-19T21:34:38.784Z: JOB_MESSAGE_DETAILED: Autoscaling is enabled for job 2022-06-19_14_34_37-11328716904138294463. The number of workers will be between 1 and 100. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-06-19T21:34:38.837Z: JOB_MESSAGE_DETAILED: Autoscaling was automatically enabled for job 2022-06-19_14_34_37-11328716904138294463. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-06-19T21:34:44.041Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-06-19T21:34:46.592Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-06-19T21:34:46.667Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-06-19T21:34:46.816Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-06-19T21:34:46.849Z: JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into optimizable parts. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-06-19T21:34:46.877Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write steps [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-06-19T21:34:46.911Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-06-19T21:34:46.985Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-06-19T21:34:47.026Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-06-19T21:34:47.052Z: JOB_MESSAGE_DETAILED: Fusing consumer generate_metrics into ReadFromPubSub/Read [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-06-19T21:34:47.073Z: JOB_MESSAGE_DETAILED: Fusing consumer dump_to_pub/ToProtobuf into generate_metrics [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-06-19T21:34:47.106Z: 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:242 2022-06-19T21:34:47.144Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-06-19T21:34:47.172Z: JOB_MESSAGE_BASIC: Using cloud KMLS key to protect persistent state. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-06-19T21:34:47.247Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-06-19T21:34:47.280Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-06-19T21:34:47.311Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-06-19T21:34:47.334Z: JOB_MESSAGE_DEBUG: Assigning stage ids. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-06-19T21:34:47.389Z: JOB_MESSAGE_DEBUG: Starting worker pool setup. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-06-19T21:34:47.423Z: JOB_MESSAGE_BASIC: Starting 1 workers in us-central1-b... [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-06-19T21:34:47.455Z: JOB_MESSAGE_DEBUG: Starting worker pool setup. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-06-19T21:35:15.532Z: 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:242 2022-06-19T21:35:25.384Z: 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:256 Timing out on waiting for job 2022-06-19_14_34_37-11328716904138294463 after 60 seconds [32mPASSED[0m - generated xml file: <https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow/ws/src/sdks/python/pytest_validatesRunnerStreamingTests-df-py37-noxdist.xml> - [32m[1m============ 1 passed, 1 skipped, 5759 deselected in 496.00 seconds ============[0m > Task :sdks:python:test-suites:dataflow:py39:validatesRunnerStreamingTests [32mPASSED[0m [33m=============================== warnings summary ===============================[0m <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 <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): -- Docs: https://docs.pytest.org/en/latest/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[1m====== 1 passed, 1 skipped, 5759 deselected, 1 warnings in 618.95 seconds ======[0m FAILURE: Build 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: 287 * What went wrong: Execution failed for task ':sdks:python:test-suites:dataflow:py38: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. > Run with --scan to get full insights. * 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/7.4/userguide/command_line_interface.html#sec:command_line_warnings BUILD FAILED in 1h 23m 23s 100 actionable tasks: 65 executed, 33 from cache, 2 up-to-date Publishing build scan... https://gradle.com/s/hokzjzmq73ofs 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]
