See <https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/4119/display/redirect?page=changes>
Changes: [noreply] [CdapIO] Add integration tests for SparkReceiverIO (#23305) [noreply] [Go] Ensure iterated and emitted types are registered. (#23890) [chamikaramj] Updates Multi-language Java examples documentation [noreply] [Python SDK] Re-enable PipelineOptionsTest.test_display_data (#23787) ------------------------------------------ [...truncated 184.73 KB...] [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-11-02T22:51:53.732Z: JOB_MESSAGE_DETAILED: Fusing consumer generate_metrics into ReadFromPubSub/Read [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-11-02T22:51:53.765Z: JOB_MESSAGE_DETAILED: Fusing consumer dump_to_pub/ToProtobuf into generate_metrics [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-11-02T22:51:53.801Z: 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 2022-11-02T22:51:53.840Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-11-02T22:51:53.882Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-11-02T22:51:53.910Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-11-02T22:51:53.936Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-11-02T22:51:53.961Z: JOB_MESSAGE_DEBUG: Assigning stage ids. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-11-02T22:51:54.021Z: JOB_MESSAGE_DEBUG: Starting worker pool setup. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-11-02T22:51:54.050Z: JOB_MESSAGE_BASIC: Starting 1 workers in us-central1-b... [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-11-02T22:51:54.084Z: JOB_MESSAGE_DEBUG: Starting worker pool setup. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-11-02T22:52:20.141Z: 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 2022-11-02T22:52:46.231Z: 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 2022-11-02_15_51_44-251127584639161370 after 60 seconds > Task :sdks:python:test-suites:dataflow:py310:validatesRunnerStreamingTests [31m[1mERROR [0m apache_beam.io.gcp.tests.pubsub_matcher:pubsub_matcher.py:167 Timeout after 600 sec. Received 0 messages from projects/apache-beam-testing/subscriptions/exercise_streaming_metrics_subscription_outputa6b000eb-7312-456d-81e0-4f11d73e03f0. [31mFAILED[0m =================================== FAILURES =================================== [31m[1m_ ExerciseStreamingMetricsPipelineTest.test_streaming_pipeline_returns_expected_user_metrics_fnapi_it _[0m self = <apache_beam.runners.dataflow.dataflow_exercise_streaming_metrics_pipeline_test.ExerciseStreamingMetricsPipelineTest testMethod=test_streaming_pipeline_returns_expected_user_metrics_fnapi_it> @pytest.mark.it_validatesrunner @pytest.mark.no_sickbay_batch @pytest.mark.no_xdist def test_streaming_pipeline_returns_expected_user_metrics_fnapi_it(self): """ Runs streaming Dataflow job and verifies that user metrics are reported correctly. """ self._inject_words(self.input_topic, MESSAGES_TO_PUBLISH) > result = self.run_pipeline() [1m[31mapache_beam/runners/dataflow/dataflow_exercise_streaming_metrics_pipeline_test.py[0m:140: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [1m[31mapache_beam/runners/dataflow/dataflow_exercise_streaming_metrics_pipeline_test.py[0m:128: in run_pipeline return dataflow_exercise_streaming_metrics_pipeline.run(argv) [1m[31mapache_beam/runners/dataflow/dataflow_exercise_streaming_metrics_pipeline.py[0m:99: in run result = pipeline.run() [1m[31mapache_beam/pipeline.py[0m:574: in run return self.runner.run_pipeline(self, self._options) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = <apache_beam.runners.dataflow.test_dataflow_runner.TestDataflowRunner object at 0x7f1a986021a0> pipeline = <apache_beam.pipeline.Pipeline object at 0x7f1a98601300> options = <apache_beam.options.pipeline_options.PipelineOptions object at 0x7f1a98601510> def run_pipeline(self, pipeline, options): """Execute test pipeline and verify test matcher""" test_options = options.view_as(TestOptions) on_success_matcher = test_options.on_success_matcher wait_duration = test_options.wait_until_finish_duration is_streaming = options.view_as(StandardOptions).streaming # [BEAM-1889] Do not send this to remote workers also, there is no need to # send this option to remote executors. test_options.on_success_matcher = None self.result = super().run_pipeline(pipeline, options) if self.result.has_job: # TODO(markflyhigh)(https://github.com/apache/beam/issues/18254): Use # print since Nose dosen't show logs in some cases. print('Worker logs: %s' % self.build_console_url(options)) _LOGGER.info('Console log: ') _LOGGER.info(self.build_console_url(options)) try: self.wait_until_in_state(PipelineState.RUNNING) if is_streaming and not wait_duration: _LOGGER.warning('Waiting indefinitely for streaming job.') self.result.wait_until_finish(duration=wait_duration) if on_success_matcher: from hamcrest import assert_that as hc_assert_that > hc_assert_that(self.result, pickler.loads(on_success_matcher)) [1m[31mE AssertionError: [0m [1m[31mE Expected: (Test pipeline expected terminated in state: RUNNING and Expected 3 messages.)[0m [1m[31mE but: Expected 3 messages. Got 0 messages. Diffs (item, count):[0m [1m[31mE Expected but not in actual: dict_items([(b'message a', 1), (b'message b b', 1), (b'message c', 1)])[0m [1m[31mE Unexpected: dict_items([])[0m [1m[31mE Unexpected (with all details): [][0m [1m[31mapache_beam/runners/dataflow/test_dataflow_runner.py[0m:70: AssertionError ------------------------------ Captured log call ------------------------------- [32mINFO [0m apache_beam.runners.portability.stager:stager.py:778 Executing command: ['<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/build/gradleenv/2050596098/bin/python3.10',> '-m', 'pip', 'download', '--dest', '/tmp/dataflow-requirements-cache', '-r', '/tmp/tmp6kb7pnpo/tmp_requirements.txt', '--exists-action', 'i', '--no-deps', '--implementation', 'cp', '--abi', 'cp310', '--platform', 'manylinux2014_x86_64'] [32mINFO [0m apache_beam.runners.portability.stager:stager.py:330 Copying Beam SDK "<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/build/apache-beam.tar.gz";> to staging location. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:484 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_python3.10_sdk:2.44.0.dev [32mINFO [0m root:environments.py:295 Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/python310-fnapi:beam-master-20221021 [32mINFO [0m root:environments.py:302 Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/python310-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:132 socket default timeout is 60.0 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-1102224802-652961-nthvafm2.1667429282.653138/requirements.txt... [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:748 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-1102224802-652961-nthvafm2.1667429282.653138/requirements.txt 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-1102224802-652961-nthvafm2.1667429282.653138/pickled_main_session... [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:748 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-1102224802-652961-nthvafm2.1667429282.653138/pickled_main_session 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-1102224802-652961-nthvafm2.1667429282.653138/mock-2.0.0-py2.py3-none-any.whl... [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:748 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-1102224802-652961-nthvafm2.1667429282.653138/mock-2.0.0-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-1102224802-652961-nthvafm2.1667429282.653138/seaborn-0.12.1-py3-none-any.whl... [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:748 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-1102224802-652961-nthvafm2.1667429282.653138/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-1102224802-652961-nthvafm2.1667429282.653138/PyHamcrest-1.10.1-py3-none-any.whl... [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:748 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-1102224802-652961-nthvafm2.1667429282.653138/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-1102224802-652961-nthvafm2.1667429282.653138/beautifulsoup4-4.11.1-py3-none-any.whl... [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:748 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-1102224802-652961-nthvafm2.1667429282.653138/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-1102224802-652961-nthvafm2.1667429282.653138/parameterized-0.7.5-py2.py3-none-any.whl... [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:748 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-1102224802-652961-nthvafm2.1667429282.653138/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-1102224802-652961-nthvafm2.1667429282.653138/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:748 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-1102224802-652961-nthvafm2.1667429282.653138/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-1102224802-652961-nthvafm2.1667429282.653138/matplotlib-3.6.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl... [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:748 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-1102224802-652961-nthvafm2.1667429282.653138/matplotlib-3.6.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_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-1102224802-652961-nthvafm2.1667429282.653138/dataflow_python_sdk.tar... [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:748 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-1102224802-652961-nthvafm2.1667429282.653138/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-1102224802-652961-nthvafm2.1667429282.653138/dataflow-worker.jar... [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:748 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-1102224802-652961-nthvafm2.1667429282.653138/dataflow-worker.jar in 9 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-1102224802-652961-nthvafm2.1667429282.653138/pipeline.pb... [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:748 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-1102224802-652961-nthvafm2.1667429282.653138/pipeline.pb in 0 seconds. [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:911 Create job: <Job clientRequestId: '20221102224802654171-2535' createTime: '2022-11-02T22:48:15.033367Z' currentStateTime: '1970-01-01T00:00:00Z' id: '2022-11-02_15_48_14-9413028700311904043' location: 'us-central1' name: 'beamapp-jenkins-1102224802-652961-nthvafm2' projectId: 'apache-beam-testing' stageStates: [] startTime: '2022-11-02T22:48:15.033367Z' steps: [] tempFiles: [] type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)> [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:913 Created job with id: [2022-11-02_15_48_14-9413028700311904043] [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:914 Submitted job: 2022-11-02_15_48_14-9413028700311904043 [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:915 To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2022-11-02_15_48_14-9413028700311904043?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-central1/2022-11-02_15_48_14-9413028700311904043?project=apache-beam-testing [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:198 Job 2022-11-02_15_48_14-9413028700311904043 is in state JOB_STATE_RUNNING [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-11-02T22:48:15.671Z: 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 2022-11-02T22:48:15.801Z: JOB_MESSAGE_DETAILED: Autoscaling is enabled for job 2022-11-02_15_48_14-9413028700311904043. The number of workers will be between 1 and 100. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-11-02T22:48:15.825Z: JOB_MESSAGE_DETAILED: Autoscaling was automatically enabled for job 2022-11-02_15_48_14-9413028700311904043. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-11-02T22:48:20.997Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-11-02T22:48:22.924Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-11-02T22:48:22.961Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-11-02T22:48:23.028Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-11-02T22:48:23.061Z: JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into optimizable parts. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-11-02T22:48:23.093Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write steps [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-11-02T22:48:23.120Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-11-02T22:48:23.148Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-11-02T22:48:23.191Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-11-02T22:48:23.218Z: JOB_MESSAGE_DETAILED: Fusing consumer generate_metrics into ReadFromPubSub/Read [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-11-02T22:48:23.252Z: JOB_MESSAGE_DETAILED: Fusing consumer dump_to_pub/ToProtobuf into generate_metrics [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-11-02T22:48:23.284Z: 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 2022-11-02T22:48:23.324Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-11-02T22:48:23.348Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-11-02T22:48:23.378Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-11-02T22:48:23.406Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-11-02T22:48:23.432Z: JOB_MESSAGE_DEBUG: Assigning stage ids. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-11-02T22:48:23.498Z: JOB_MESSAGE_DEBUG: Starting worker pool setup. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-11-02T22:48:23.525Z: JOB_MESSAGE_BASIC: Starting 1 workers in us-central1-b... [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-11-02T22:48:23.563Z: JOB_MESSAGE_DEBUG: Starting worker pool setup. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 2022-11-02T22:48:51.877Z: 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 2022-11-02T22:49:05.797Z: 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 2022-11-02_15_48_14-9413028700311904043 after 60 seconds [31m[1mERROR [0m apache_beam.io.gcp.tests.pubsub_matcher:pubsub_matcher.py:167 Timeout after 600 sec. Received 0 messages from projects/apache-beam-testing/subscriptions/exercise_streaming_metrics_subscription_outputa6b000eb-7312-456d-81e0-4f11d73e03f0. [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> - [36m[1m=========================== short test summary info ============================[0m [31mFAILED[0m apache_beam/runners/dataflow/dataflow_exercise_streaming_metrics_pipeline_test.py::[1mExerciseStreamingMetricsPipelineTest::test_streaming_pipeline_returns_expected_user_metrics_fnapi_it[0m - AssertionError: Expected: (Test pipeline expected terminated in state: RUNNING and Expected 3 messages.) but: Expected 3 messages. Got 0 messages. Diffs (item, count): Expected but not in actual: dict_items([(b'message a', 1), (b'message b b', 1), (b'message c', 1)]) Unexpected: dict_items([]) Unexpected (with all details): [] [31m==== [31m[1m1 failed[0m, [33m5 skipped[0m, [33m6718 deselected[0m, [33m8 warnings[0m[31m in 893.62s (0:14:53)[0m[31m =====[0m > Task :sdks:python:test-suites:dataflow:py310:validatesRunnerStreamingTests > FAILED > 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[1m6718 deselected[0m, [33m[1m1 warning[0m[33m in 863.38s (0:14:23)[0m[33m =====[0m FAILURE: Build 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: 291 * What went wrong: Execution failed for task ':sdks:python:test-suites:dataflow:py310: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. * 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 1h 57m 16s 97 actionable tasks: 64 executed, 31 from cache, 2 up-to-date Publishing build scan... https://gradle.com/s/xq5drwzi6xdym 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]
