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) ------------------------------------------ [...truncated 217.15 KB...] [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 [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:198 Job 2022-10-27_15_56_16-5165141767115521954 is in state JOB_STATE_RUNNING [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 [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-10-27T22:56:24.656Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-10-27T22:56:24.710Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-10-27T22:56:24.760Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-10-27T22:56:24.794Z: JOB_MESSAGE_DEBUG: Assigning stage ids. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-10-27T22:56:24.887Z: JOB_MESSAGE_DEBUG: Starting worker pool setup. [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 [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-10-27T22:57:05.550Z: 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 2022-10-27_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 [gw7] [32mPASSED[0m apache_beam/transforms/sideinputs_test.py::SideInputsTest::test_iterable_side_input [gw4] [32mPASSED[0m apache_beam/transforms/util_test.py::ReshuffleTest::test_reshuffle_preserves_timestamps [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 ../../build/gradleenv/-1734967052/lib/python3.7/site-packages/hdfs/config.py:15 ../../build/gradleenv/-1734967052/lib/python3.7/site-packages/hdfs/config.py:15 ../../build/gradleenv/-1734967052/lib/python3.7/site-packages/hdfs/config.py:15 ../../build/gradleenv/-1734967052/lib/python3.7/site-packages/hdfs/config.py:15 ../../build/gradleenv/-1734967052/lib/python3.7/site-packages/hdfs/config.py:15 ../../build/gradleenv/-1734967052/lib/python3.7/site-packages/hdfs/config.py:15 ../../build/gradleenv/-1734967052/lib/python3.7/site-packages/hdfs/config.py:15 ../../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 rootdir: <https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python,> configfile: pytest.ini 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 [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. [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. 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[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 [32mINFO [0m root:environments.py:296 Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/python37-fnapi:beam-master-20221021 [32mINFO [0m root:environments.py:304 Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/python37-fnapi:beam-master-20221021" for Docker environment [32mINFO [0m apache_beam.internal.gcp.auth:auth.py:130 Setting socket default timeout to 60 seconds. [32mINFO [0m apache_beam.internal.gcp.auth:auth.py:133 socket default timeout is 60.0 seconds. 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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/seaborn-0.12.1-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/PyHamcrest-1.10.1-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-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... [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/beautifulsoup4-4.11.1-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/parameterized-0.7.5-py2.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-1027230412-151412-nthvafm2.1666911852.151593/parameterized-0.7.5-py2.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/matplotlib-3.6.1-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.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-1027230412-151412-nthvafm2.1666911852.151593/matplotlib-3.6.1-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.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/dataflow_python_sdk.tar... [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/dataflow_python_sdk.tar 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/dataflow-worker.jar... [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/dataflow-worker.jar in 5 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/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-1027230412-151412-nthvafm2.1666911852.151593/pipeline.pb in 0 seconds. [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:911 Create job: <Job clientRequestId: '20221027230412152661-2535' createTime: '2022-10-27T23:04:20.359272Z' currentStateTime: '1970-01-01T00:00:00Z' id: '2022-10-27_16_04_19-3747489743761291916' location: 'us-central1' name: 'beamapp-jenkins-1027230412-151412-nthvafm2' projectId: 'apache-beam-testing' stageStates: [] startTime: '2022-10-27T23:04:20.359272Z' steps: [] tempFiles: [] type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)> [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:913 Created job with id: [2022-10-27_16_04_19-3747489743761291916] [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 [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:198 Job 2022-10-27_16_04_19-3747489743761291916 is in state JOB_STATE_RUNNING [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-10-27T23:04:21.131Z: 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 2022-10-27T23:04:21.288Z: 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 --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
