See <https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow/8864/display/redirect?page=changes>
Changes: [mmack] [BEAM-13243][BEAM-8374] Add support for missing PublishResponse fields [mmack] [adhoc] Run spotlessApply on java examples to fix master [noreply] [BEAM-13628] Update SideInputCache to use full Transform and ------------------------------------------ [...truncated 574.74 KB...] [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2022-01-11T19:14:07.514Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2022-01-11T19:14:07.549Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2022-01-11T19:14:07.576Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2022-01-11T19:14:07.610Z: JOB_MESSAGE_DEBUG: Assigning stage ids. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2022-01-11T19:14:07.662Z: JOB_MESSAGE_DEBUG: Starting worker pool setup. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2022-01-11T19:14:07.708Z: JOB_MESSAGE_DEBUG: Starting worker pool setup. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2022-01-11T19:14:07.738Z: JOB_MESSAGE_BASIC: Starting 1 workers in us-central1-f... > Task :sdks:python:test-suites:dataflow:py38:validatesRunnerStreamingTests [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2022-01-11T19:14:09.895Z: 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:247 Timing out on waiting for job 2022-01-11_11_13_13-15081332189226342032 after 60 seconds > Task :sdks:python:test-suites:dataflow:py37:validatesRunnerStreamingTests [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2022-01-11T19:14:22.168Z: 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 2022-01-11T19:15:01.073Z: 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:py36:validatesRunnerStreamingTests [gw7] [32mPASSED[0m apache_beam/transforms/ptransform_test.py::PTransformTest::test_flatten_pcollections apache_beam/transforms/ptransform_test.py::PTransformTest::test_par_do_with_multiple_outputs_and_using_return [gw4] [32mPASSED[0m apache_beam/transforms/dofn_lifecycle_test.py::DoFnLifecycleTest::test_dofn_lifecycle apache_beam/transforms/ptransform_test.py::PTransformTest::test_undeclared_outputs [gw5] [32mPASSED[0m apache_beam/transforms/ptransform_test.py::PTransformTest::test_flatten_multiple_pcollections_having_multiple_consumers apache_beam/transforms/ptransform_test.py::PTransformTest::test_par_do_with_multiple_outputs_and_using_yield > Task :sdks:python:test-suites:dataflow:py37:validatesRunnerStreamingTests [33mWARNING [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:250 Timing out on waiting for job 2022-01-11_11_13_57-12310554935362905021 after 60 seconds > Task :sdks:python:test-suites:dataflow:py36:validatesRunnerStreamingTests [gw3] [32mPASSED[0m apache_beam/transforms/ptransform_test.py::PTransformTest::test_multiple_empty_outputs apache_beam/transforms/sideinputs_test.py::SideInputsTest::test_as_dict_twice [gw1] [32mPASSED[0m apache_beam/transforms/sideinputs_test.py::SideInputsTest::test_as_singleton_with_different_defaults apache_beam/transforms/sideinputs_test.py::SideInputsTest::test_as_singleton_without_unique_labels [gw0] [32mPASSED[0m apache_beam/transforms/sideinputs_test.py::SideInputsTest::test_default_value_singleton_side_input apache_beam/transforms/sideinputs_test.py::SideInputsTest::test_empty_singleton_side_input [gw2] [32mPASSED[0m apache_beam/transforms/sideinputs_test.py::SideInputsTest::test_as_list_and_as_dict_side_inputs apache_beam/transforms/sideinputs_test.py::SideInputsTest::test_as_list_twice [gw6] [32mPASSED[0m apache_beam/transforms/ptransform_test.py::PTransformTest::test_flatten_a_flattened_pcollection apache_beam/transforms/sideinputs_test.py::SideInputsTest::test_flattened_side_input > 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 - 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[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:699 Starting GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0111194037-484775.1641930037.484987/pbr-5.8.0.tar.gz... [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:718 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0111194037-484775.1641930037.484987/pbr-5.8.0.tar.gz in 0 seconds. [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:699 Starting GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0111194037-484775.1641930037.484987/mock-2.0.0.tar.gz... [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:718 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0111194037-484775.1641930037.484987/mock-2.0.0.tar.gz in 0 seconds. 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[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:699 Starting GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0111194037-484775.1641930037.484987/beautifulsoup4-4.10.0.tar.gz... [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:718 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0111194037-484775.1641930037.484987/beautifulsoup4-4.10.0.tar.gz in 0 seconds. [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:699 Starting GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0111194037-484775.1641930037.484987/dataflow_python_sdk.tar... [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:718 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0111194037-484775.1641930037.484987/dataflow_python_sdk.tar in 0 seconds. [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:699 Starting GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0111194037-484775.1641930037.484987/dataflow-worker.jar... [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:718 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0111194037-484775.1641930037.484987/dataflow-worker.jar in 5 seconds. [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:699 Starting GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0111194037-484775.1641930037.484987/pipeline.pb... [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:718 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0111194037-484775.1641930037.484987/pipeline.pb in 0 seconds. 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Use --experiments=disable_streaming_engine to opt out. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2022-01-11T19:40:44.665Z: 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 2022-01-11T19:40:47.977Z: 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 2022-01-11T19:40:48.026Z: JOB_MESSAGE_DETAILED: Autoscaling is enabled for job 2022-01-11_11_40_44-4424486208943870975. The number of workers will be between 1 and 100. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2022-01-11T19:40:48.074Z: JOB_MESSAGE_DETAILED: Autoscaling was automatically enabled for job 2022-01-11_11_40_44-4424486208943870975. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2022-01-11T19:40:53.536Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-f. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2022-01-11T19:40:56.640Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2022-01-11T19:40:56.660Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2022-01-11T19:40:56.703Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2022-01-11T19:40:56.737Z: JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into optimizable parts. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2022-01-11T19:40:56.767Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write steps [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2022-01-11T19:40:56.785Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2022-01-11T19:40:56.805Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2022-01-11T19:40:56.835Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2022-01-11T19:40:56.858Z: JOB_MESSAGE_DETAILED: Fusing consumer generate_metrics into ReadFromPubSub/Read [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2022-01-11T19:40:56.888Z: JOB_MESSAGE_DETAILED: Fusing consumer dump_to_pub/ToProtobuf into generate_metrics [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2022-01-11T19:40:56.927Z: 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 2022-01-11T19:40:56.961Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2022-01-11T19:40:56.981Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2022-01-11T19:40:56.998Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2022-01-11T19:40:57.022Z: JOB_MESSAGE_DEBUG: Assigning stage ids. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2022-01-11T19:40:57.070Z: JOB_MESSAGE_DEBUG: Starting worker pool setup. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2022-01-11T19:40:57.099Z: JOB_MESSAGE_BASIC: Starting 1 workers in us-central1-f... [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2022-01-11T19:40:57.138Z: JOB_MESSAGE_DEBUG: Starting worker pool setup. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2022-01-11T19:41:24.915Z: 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 2022-01-11T19:41:46.357Z: 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 2022-01-11_11_40_44-4424486208943870975 after 61 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, 5164 deselected in 720.33 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 37m 48s 101 actionable tasks: 70 executed, 29 from cache, 2 up-to-date Publishing build scan... https://gradle.com/s/flmdscemuucea 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]
