See <https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow/8799/display/redirect>
Changes: ------------------------------------------ [...truncated 660.28 KB...] > Task :sdks:python:test-suites:dataflow:py38:validatesRunnerStreamingTests [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-12-26T12:55:06.217Z: 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. 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[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-12-26T12:55:09.758Z: 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:236 2021-12-26T12:55:09.928Z: JOB_MESSAGE_DETAILED: Autoscaling is enabled for job 2021-12-26_04_55_06-14817548988331182062. The number of workers will be between 1 and 100. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-12-26T12:55:09.963Z: JOB_MESSAGE_DETAILED: Autoscaling was automatically enabled for job 2021-12-26_04_55_06-14817548988331182062. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-12-26T12:55:17.599Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-a. 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[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-12-26T12:55:18.614Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write steps [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-12-26T12:55:18.651Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-12-26T12:55:18.675Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-12-26T12:55:18.715Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-12-26T12:55:18.733Z: JOB_MESSAGE_DETAILED: Fusing consumer generate_metrics into ReadFromPubSub/Read [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-12-26T12:55:18.769Z: JOB_MESSAGE_DETAILED: Fusing consumer dump_to_pub/ToProtobuf into generate_metrics [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-12-26T12:55:18.806Z: 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:236 2021-12-26T12:55:18.879Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec. 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[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-12-26T12:55:47.109Z: 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:236 2021-12-26T12:56:14.623Z: 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:250 Timing out on waiting for job 2021-12-26_04_55_06-14817548988331182062 after 60 seconds > Task :sdks:python:test-suites:dataflow:py36:validatesRunnerStreamingTests [gw2] [32mPASSED[0m apache_beam/transforms/sideinputs_test.py::SideInputsTest::test_iterable_side_input [gw0] [32mPASSED[0m apache_beam/transforms/sideinputs_test.py::SideInputsTest::test_reiterable_side_input [gw3] [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-py36-xdist.xml> - [32m[1m=================== 30 passed, 3 skipped in 2978.77 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-2.36.0-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 3.6.13, 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:51 python-snappy is not installed; some tests will be skipped. 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[32mINFO [0m root:environments.py:380 Default Python SDK image for environment is apache/beam_python3.6_sdk:2.36.0.dev > Task :sdks:python:test-suites:dataflow:py38:validatesRunnerStreamingTests [32mPASSED[0m [33m=============================== warnings summary ===============================[0m <https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow/ws/src/build/gradleenv/-1734967051/lib/python3.8/site-packages/tenacity/_asyncio.py>:42 <https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow/ws/src/build/gradleenv/-1734967051/lib/python3.8/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-py38-noxdist.xml> - [33m[1m=========== 1 passed, 5144 deselected, 1 warnings in 680.54 seconds ============[0m > Task :sdks:python:test-suites:dataflow:py36:validatesRunnerStreamingTests collected 5145 items / 5144 deselected / 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:692 Executing command: ['<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow/ws/src/build/gradleenv/-1734967053/bin/python3.6',> '-m', 'pip', 'download', '--dest', '/tmp/dataflow-requirements-cache', '-r', '/tmp/tmpqmqi620a/tmp_requirements.txt', '--exists-action', 'i', '--no-binary', ':all:'] [32mINFO [0m apache_beam.runners.portability.stager:stager.py:302 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. 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[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:648 Starting GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-1226130524-666648.1640523924.666823/dataflow_python_sdk.tar... [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:667 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-1226130524-666648.1640523924.666823/dataflow_python_sdk.tar in 0 seconds. [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:648 Starting GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-1226130524-666648.1640523924.666823/dataflow-worker.jar... [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:667 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-1226130524-666648.1640523924.666823/dataflow-worker.jar in 5 seconds. [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:648 Starting GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-1226130524-666648.1640523924.666823/pipeline.pb... [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:667 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-1226130524-666648.1640523924.666823/pipeline.pb in 0 seconds. [33mWARNING [0m apache_beam.options.pipeline_options:pipeline_options.py:309 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:309 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:828 Create job: <Job clientRequestId: '20211226130524667968-7102' createTime: '2021-12-26T13:05:32.621240Z' currentStateTime: '1970-01-01T00:00:00Z' id: '2021-12-26_05_05_31-636917389952622558' location: 'us-central1' name: 'beamapp-jenkins-1226130524-666648' projectId: 'apache-beam-testing' stageStates: [] startTime: '2021-12-26T13:05:32.621240Z' steps: [] tempFiles: [] type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)> [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:830 Created job with id: [2021-12-26_05_05_31-636917389952622558] [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:831 Submitted job: 2021-12-26_05_05_31-636917389952622558 [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:837 To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2021-12-26_05_05_31-636917389952622558?project=apache-beam-testing Worker logs: https://console.cloud.google.com/dataflow/jobs/us-central1/2021-12-26_05_05_31-636917389952622558?project=apache-beam-testing [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:191 Job 2021-12-26_05_05_31-636917389952622558 is in state JOB_STATE_RUNNING [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-12-26T13:05:31.895Z: 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:236 2021-12-26T13:05:31.896Z: 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:236 2021-12-26T13:05:35.218Z: 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:236 2021-12-26T13:05:40.286Z: JOB_MESSAGE_DETAILED: Autoscaling is enabled for job 2021-12-26_05_05_31-636917389952622558. The number of workers will be between 1 and 100. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-12-26T13:05:40.379Z: JOB_MESSAGE_DETAILED: Autoscaling was automatically enabled for job 2021-12-26_05_05_31-636917389952622558. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-12-26T13:05:47.009Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-a. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-12-26T13:05:50.152Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-12-26T13:05:50.206Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-12-26T13:05:50.294Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-12-26T13:05:50.348Z: JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into optimizable parts. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-12-26T13:05:50.384Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write steps [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-12-26T13:05:50.416Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-12-26T13:05:50.449Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-12-26T13:05:50.478Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-12-26T13:05:50.508Z: JOB_MESSAGE_DETAILED: Fusing consumer generate_metrics into ReadFromPubSub/Read [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-12-26T13:05:50.529Z: JOB_MESSAGE_DETAILED: Fusing consumer dump_to_pub/ToProtobuf into generate_metrics [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-12-26T13:05:50.551Z: 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:236 2021-12-26T13:05:50.599Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-12-26T13:05:50.630Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-12-26T13:05:50.666Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-12-26T13:05:50.701Z: JOB_MESSAGE_DEBUG: Assigning stage ids. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-12-26T13:05:50.751Z: JOB_MESSAGE_DEBUG: Starting worker pool setup. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-12-26T13:05:50.808Z: JOB_MESSAGE_DEBUG: Starting worker pool setup. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-12-26T13:05:50.838Z: JOB_MESSAGE_BASIC: Starting 1 workers in us-central1-a... [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-12-26T13:06:22.749Z: JOB_MESSAGE_BASIC: Your project already contains 100 Dataflow-created metric descriptors, so new user metrics of the form custom.googleapis.com/* will not be created. However, all user metrics are also available in the metric dataflow.googleapis.com/job/user_counter. If you rely on the custom metrics, you can delete old / unused metric descriptors. See https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.list and https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.delete > Task :sdks:python:test-suites:dataflow:py37:validatesRunnerStreamingTests [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, 5144 deselected in 710.03 seconds ==================[0m > Task :sdks:python:test-suites:dataflow:py36:validatesRunnerStreamingTests [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-12-26T13:06:41.953Z: 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:250 Timing out on waiting for job 2021-12-26_05_05_31-636917389952622558 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-py36-noxdist.xml> - [32m[1m================= 1 passed, 5144 deselected in 708.63 seconds ==================[0m > Task :sdks:python:test-suites:dataflow:validatesRunnerStreamingTests FAILURE: Build completed with 3 failures. 1: Task failed with an exception. ----------- * Where: Script '<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow/ws/src/sdks/python/test-suites/dataflow/common.gradle'> line: 194 * What went wrong: Execution failed for task ':sdks:python:test-suites:dataflow:py38: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. > Run with --scan to get full insights. ============================================================================== 2: Task failed with an exception. ----------- * Where: Script '<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow/ws/src/sdks/python/test-suites/dataflow/common.gradle'> line: 194 * 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. > Run with --scan to get full insights. ============================================================================== 3: Task failed with an exception. ----------- * Where: Script '<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow/ws/src/sdks/python/test-suites/dataflow/common.gradle'> line: 194 * What went wrong: Execution failed for task ':sdks:python:test-suites:dataflow:py36: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. > 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/7.3.2/userguide/command_line_interface.html#sec:command_line_warnings BUILD FAILED in 1h 16m 29s 83 actionable tasks: 48 executed, 33 from cache, 2 up-to-date Publishing build scan... https://gradle.com/s/hywjdsxglroq2 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]
