See <https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow/11406/display/redirect>
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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_validatesRunnerBatchTests-df-py38.xml> - [33m=========== [32m36 passed[0m, [33m[1m19 skipped[0m, [33m[1m9 warnings[0m[33m in 1836.41s (0:30:36)[0m[33m ============[0m > Task :sdks:python:test-suites:dataflow:py38:validatesRunnerStreamingTests >>> 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 >>> 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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-py38-xdist.xml> - [33m=========== [32m34 passed[0m, [33m[1m18 skipped[0m, [33m[1m9 warnings[0m[33m in 2504.57s (0:41:44)[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-2.52.0.dev0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl> >>> --requirements_file=postcommit_requirements.txt --num_workers=1 >>> --sleep_secs=20 --streaming >>> --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 3.8.10, pytest-7.4.2, pluggy-1.3.0 rootdir: <https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow/ws/src/sdks/python> configfile: pytest.ini plugins: timeout-2.2.0, xdist-3.3.1, requests-mock-1.11.0, hypothesis-6.87.3 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:189 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:198 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. collected 7202 items / 7201 deselected / 18 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 [32mINFO [0m apache_beam.runners.portability.stager:stager.py:762 Executing command: ['<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow/ws/src/build/gradleenv/-1734967051/bin/python3.8',> '-m', 'pip', 'download', '--dest', '/tmp/dataflow-requirements-cache', '-r', '/tmp/tmpp6oposvs/tmp_requirements.txt', '--exists-action', 'i', '--no-deps', '--implementation', 'cp', '--abi', 'cp38', '--platform', 'manylinux2014_x86_64'] [32mINFO [0m apache_beam.runners.portability.stager:stager.py:323 Copying Beam SDK "<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow/ws/src/sdks/python/build/apache_beam-2.52.0.dev0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl"> to staging location. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:395 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:313 Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20231009 [32mINFO [0m root:environments.py:320 Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20231009" for Docker environment [32mINFO [0m apache_beam.internal.gcp.auth:auth.py:131 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:668 Starting GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-1012214245-288527-nthvafm2.1697146965.288732/matplotlib-3.7.3-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl... [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:684 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-1012214245-288527-nthvafm2.1697146965.288732/matplotlib-3.7.3-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl in 0 seconds. [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:668 Starting GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-1012214245-288527-nthvafm2.1697146965.288732/tensorflow-2.13.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl... [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:684 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-1012214245-288527-nthvafm2.1697146965.288732/tensorflow-2.13.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl in 26 seconds. [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:668 Starting GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-1012214245-288527-nthvafm2.1697146965.288732/matplotlib-3.8.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl... [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:684 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-1012214245-288527-nthvafm2.1697146965.288732/matplotlib-3.8.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl in 0 seconds. [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:668 Starting GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-1012214245-288527-nthvafm2.1697146965.288732/matplotlib-3.8.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl... [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:684 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-1012214245-288527-nthvafm2.1697146965.288732/matplotlib-3.8.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl in 1 seconds. [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:668 Starting GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-1012214245-288527-nthvafm2.1697146965.288732/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:684 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-1012214245-288527-nthvafm2.1697146965.288732/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:668 Starting GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-1012214245-288527-nthvafm2.1697146965.288732/scikit_learn-1.0.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl... [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:684 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-1012214245-288527-nthvafm2.1697146965.288732/scikit_learn-1.0.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl in 1 seconds. [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:668 Starting GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-1012214245-288527-nthvafm2.1697146965.288732/scikit_learn-1.2.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl... [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:684 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-1012214245-288527-nthvafm2.1697146965.288732/scikit_learn-1.2.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl in 0 seconds. [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:668 Starting GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-1012214245-288527-nthvafm2.1697146965.288732/apache_beam-2.52.0.dev0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl... [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:684 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-1012214245-288527-nthvafm2.1697146965.288732/apache_beam-2.52.0.dev0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl in 1 seconds. [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:668 Starting GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-1012214245-288527-nthvafm2.1697146965.288732/pipeline.pb... [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:684 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-1012214245-288527-nthvafm2.1697146965.288732/pipeline.pb in 0 seconds. [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:843 Create job: <Job clientRequestId: '20231012214245289859-2535' createTime: '2023-10-12T21:43:21.239166Z' currentStateTime: '1970-01-01T00:00:00Z' id: '2023-10-12_14_43_20-8990101717205165277' location: 'us-central1' name: 'beamapp-jenkins-1012214245-288527-nthvafm2' projectId: 'apache-beam-testing' stageStates: [] startTime: '2023-10-12T21:43:21.239166Z' steps: [] tempFiles: [] type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)> [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:845 Created job with id: [2023-10-12_14_43_20-8990101717205165277] [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:846 Submitted job: 2023-10-12_14_43_20-8990101717205165277 [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:847 To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-10-12_14_43_20-8990101717205165277?project=apache-beam-testing Worker logs: https://console.cloud.google.com/dataflow/jobs/us-central1/2023-10-12_14_43_20-8990101717205165277?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-central1/2023-10-12_14_43_20-8990101717205165277?project=apache-beam-testing [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:150 Job 2023-10-12_14_43_20-8990101717205165277 is in state JOB_STATE_RUNNING [33mWARNING [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:202 2023-10-12T21:43:22.128Z: 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:200 2023-10-12T21:43:31.156Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:200 2023-10-12T21:43:34.232Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:200 2023-10-12T21:43:34.254Z: JOB_MESSAGE_BASIC: Using cloud KMLS key to protect persistent state. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:200 2023-10-12T21:43:34.736Z: JOB_MESSAGE_BASIC: Starting 1 workers in us-central1-b... [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:200 2023-10-12T21:44:06.169Z: 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:200 2023-10-12T21:44:59.483Z: JOB_MESSAGE_BASIC: All workers have finished the startup processes and began to receive work requests. [33mWARNING [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:216 Timing out on waiting for job 2023-10-12_14_43_20-8990101717205165277 after 303 seconds [32mPASSED[0m [33m=============================== warnings summary ===============================[0m ../../build/gradleenv/-1734967051/lib/python3.8/site-packages/hdfs/config.py:28 <https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow/ws/src/build/gradleenv/-1734967051/lib/python3.8/site-packages/hdfs/config.py>:28: 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-py38-noxdist.xml> - [33m==== [32m1 passed[0m, [33m[1m18 skipped[0m, [33m[1m7201 deselected[0m, [33m[1m1 warning[0m[33m in 562.45s (0:09:22)[0m[33m =====[0m FAILURE: Build failed with an exception. * Where: Build file '<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow/ws/src/sdks/python/build.gradle'> line: 97 * What went wrong: Execution failed for task ':sdks:python:bdistPy311linux'. > 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 9.0. You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins. For more on this, please refer to https://docs.gradle.org/8.3/userguide/command_line_interface.html#sec:command_line_warnings in the Gradle documentation. BUILD FAILED in 1h 32m 26s 15 actionable tasks: 14 executed, 1 from cache Publishing build scan... https://ge.apache.org/s/erqii25avlwiy 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]
