See <https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/3001/display/redirect>
Changes: ------------------------------------------ [...truncated 84.90 KB...] File "<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/build/gradleenv/-1734967051/lib/python3.8/site-packages/execnet/gateway_base.py";,> line 400, in read data = self._read(numbytes - len(buf)) +++++++++++++++++++++++++++++++++++ Timeout ++++++++++++++++++++++++++++++++++++ [gw2] [31mFAILED[0m apache_beam/transforms/sideinputs_test.py::SideInputsTest::test_iterable_side_input =================================== FAILURES =================================== [31m[1m___________________ SideInputsTest.test_iterable_side_input ____________________[0m [gw2] linux -- Python 3.8.9 <https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/build/gradleenv/-1734967051/bin/python3.8> self = <apache_beam.transforms.sideinputs_test.SideInputsTest testMethod=test_iterable_side_input> [1m @pytest.mark.it_validatesrunner[0m [1m def test_iterable_side_input(self):[0m [1m pipeline = self.create_pipeline()[0m [1m pcol = pipeline | 'start' >> beam.Create([1, 2])[0m [1m side = pipeline | 'side' >> beam.Create([3, 4]) # 2 values in side input.[0m [1m result = pcol | 'compute' >> beam.FlatMap([0m [1m lambda x, s: [x * y for y in s], beam.pvalue.AsIter(side))[0m [1m assert_that(result, equal_to([3, 4, 6, 8]))[0m [1m> pipeline.run()[0m [1m[31mapache_beam/transforms/sideinputs_test.py[0m:193: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [1m[31mapache_beam/testing/test_pipeline.py[0m:112: in run [1m result = super().run([0m [1m[31mapache_beam/pipeline.py[0m:546: in run [1m return Pipeline.from_runner_api([0m [1m[31mapache_beam/pipeline.py[0m:573: in run [1m return self.runner.run_pipeline(self, self._options)[0m [1m[31mapache_beam/runners/dataflow/test_dataflow_runner.py[0m:64: in run_pipeline [1m self.result.wait_until_finish(duration=wait_duration)[0m _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = <DataflowPipelineResult <Job clientRequestId: '20220124012611629695-2078' createTime: '2022-01-24T01:26:21.288443Z' ...01-24T01:26:21.288443Z' steps: [] tempFiles: [] type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)> at 0x7ff7590692b0> duration = None [1m def wait_until_finish(self, duration=None):[0m [1m if not self.is_in_terminal_state():[0m [1m if not self.has_job:[0m [1m raise IOError('Failed to get the Dataflow job id.')[0m [1m [0m [1m thread = threading.Thread([0m [1m target=DataflowRunner.poll_for_job_completion,[0m [1m args=(self._runner, self, duration))[0m [1m [0m [1m # Mark the thread as a daemon thread so a keyboard interrupt on the main[0m [1m # thread will terminate everything. This is also the reason we will not[0m [1m # use thread.join() to wait for the polling thread.[0m [1m thread.daemon = True[0m [1m thread.start()[0m [1m while thread.is_alive():[0m [1m> time.sleep(5.0)[0m [1m[31mE Failed: Timeout >4500.0s[0m [1m[31mapache_beam/runners/dataflow/dataflow_runner.py[0m:1625: Failed ------------------------------ Captured log call ------------------------------- [32mINFO [0m apache_beam.runners.portability.stager:stager.py:693 Executing command: ['<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/build/gradleenv/-1734967051/bin/python3.8',> '-m', 'pip', 'download', '--dest', '/tmp/dataflow-requirements-cache', '-r', '/tmp/tmppyhx03ra/tmp_requirements.txt', '--exists-action', 'i', '--no-binary', ':all:'] [32mINFO [0m apache_beam.runners.portability.stager:stager.py:303 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. [33mWARNING [0m root:environments.py:371 Make sure that locally built Python SDK docker image has Python 3.8 interpreter. [32mINFO [0m root:environments.py:380 Default Python SDK image for environment is apache/beam_python3.8_sdk:2.37.0.dev [32mINFO [0m root:environments.py:295 Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/python38-fnapi:beam-master-20220117 [32mINFO [0m root:environments.py:302 Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/python38-fnapi:beam-master-20220117" for Docker environment [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-0124012611-628377.1642987571.628546/requirements.txt... 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[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:715 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0124012611-628377.1642987571.628546/pbr-5.7.0.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-0124012611-628377.1642987571.628546/pbr-5.8.0.tar.gz... [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:715 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0124012611-628377.1642987571.628546/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-0124012611-628377.1642987571.628546/mock-2.0.0.tar.gz... 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[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:715 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0124012611-628377.1642987571.628546/soupsieve-2.3.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-0124012611-628377.1642987571.628546/soupsieve-2.2.1.tar.gz... [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:715 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-0124012611-628377.1642987571.628546/soupsieve-2.2.1.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-0124012611-628377.1642987571.628546/soupsieve-2.3.1.tar.gz... 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[33mWARNING [0m apache_beam.options.pipeline_options:pipeline_options.py:309 Discarding unparseable args: ['--sleep_secs=20'] [33mWARNING [0m apache_beam.options.pipeline_options:pipeline_options.py:309 Discarding unparseable args: ['--sleep_secs=20'] [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:879 Create job: <Job clientRequestId: '20220124012611629695-2078' createTime: '2022-01-24T01:26:21.288443Z' currentStateTime: '1970-01-01T00:00:00Z' id: '2022-01-23_17_26_20-16686122365779715898' location: 'us-central1' name: 'beamapp-jenkins-0124012611-628377' projectId: 'apache-beam-testing' stageStates: [] startTime: '2022-01-24T01:26:21.288443Z' steps: [] tempFiles: [] type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)> [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:881 Created job with id: [2022-01-23_17_26_20-16686122365779715898] [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:882 Submitted job: 2022-01-23_17_26_20-16686122365779715898 [32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:883 To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2022-01-23_17_26_20-16686122365779715898?project=apache-beam-testing [33mWARNING [0m apache_beam.runners.dataflow.test_dataflow_runner:test_dataflow_runner.py:63 Waiting indefinitely for streaming job. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:191 Job 2022-01-23_17_26_20-16686122365779715898 is in state JOB_STATE_RUNNING [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2022-01-24T01:26:24.014Z: 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 2022-01-24T01:26:29.062Z: JOB_MESSAGE_DETAILED: Autoscaling is enabled for job 2022-01-23_17_26_20-16686122365779715898. The number of workers will be between 1 and 100. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2022-01-24T01:26:29.173Z: JOB_MESSAGE_DETAILED: Autoscaling was automatically enabled for job 2022-01-23_17_26_20-16686122365779715898. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2022-01-24T01:26:33.819Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2022-01-24T01:26:34.469Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2022-01-24T01:26:34.501Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2022-01-24T01:26:34.549Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2022-01-24T01:26:34.574Z: JOB_MESSAGE_DEBUG: Combiner lifting skipped for step assert_that/Group/CoGroupByKeyImpl/GroupByKey: GroupByKey not followed by a combiner. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2022-01-24T01:26:34.637Z: JOB_MESSAGE_DEBUG: Combiner lifting skipped for step start/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey: GroupByKey not followed by a combiner. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2022-01-24T01:26:34.663Z: JOB_MESSAGE_DEBUG: Combiner lifting skipped for step compute/View-python_side_input0-compute/GroupByKey: GroupByKey not followed by a combiner. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2022-01-24T01:26:34.686Z: JOB_MESSAGE_DEBUG: Combiner lifting skipped for step side/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey: GroupByKey not followed by a combiner. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2022-01-24T01:26:34.712Z: JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into optimizable parts. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2022-01-24T01:26:34.733Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write steps [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2022-01-24T01:26:34.935Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2022-01-24T01:26:35.074Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2022-01-24T01:26:35.105Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2022-01-24T01:26:35.138Z: JOB_MESSAGE_DEBUG: Inserted coder converter after flatten ref_AppliedPTransform_assert_that-Group-CoGroupByKeyImpl-Flatten_39 [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2022-01-24T01:26:35.177Z: JOB_MESSAGE_DETAILED: Unzipping flatten ref_AppliedPTransform_assert_that-Group-CoGroupByKeyImpl-Flatten_39 for input ref_AppliedPTransform_assert_that-Group-CoGroupByKeyImpl-Tag-0-_37.None [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2022-01-24T01:26:35.202Z: JOB_MESSAGE_DETAILED: Fusing unzipped copy of assert_that/Group/CoGroupByKeyImpl/Flatten/OutputIdentity, through flatten assert_that/Group/CoGroupByKeyImpl/Flatten, into producer assert_that/Group/CoGroupByKeyImpl/Tag[0] [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2022-01-24T01:26:35.223Z: JOB_MESSAGE_DETAILED: Unzipping flatten ref_AppliedPTransform_assert_that-Group-CoGroupByKeyImpl-Flatten_39-u36 for input ref_AppliedPTransform_assert_that-Group-CoGroupByKeyImpl-Flatten_39.None-c34 [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2022-01-24T01:26:35.267Z: JOB_MESSAGE_DETAILED: Fusing unzipped copy of assert_that/Group/CoGroupByKeyImpl/GroupByKey/WriteStream, through flatten assert_that/Group/CoGroupByKeyImpl/Flatten/Unzipped-1, into producer assert_that/Group/CoGroupByKeyImpl/Flatten/OutputIdentity [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2022-01-24T01:26:35.329Z: JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/CoGroupByKeyImpl/Flatten/OutputIdentity into assert_that/Group/CoGroupByKeyImpl/Tag[1] [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2022-01-24T01:26:35.352Z: JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/CoGroupByKeyImpl/GroupByKey/WriteStream into assert_that/Group/CoGroupByKeyImpl/Flatten/OutputIdentity [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2022-01-24T01:26:35.385Z: JOB_MESSAGE_DETAILED: Fusing consumer side/FlatMap(<lambda at core.py:3228>) into side/Impulse [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2022-01-24T01:26:35.409Z: JOB_MESSAGE_DETAILED: Fusing consumer side/MaybeReshuffle/Reshuffle/AddRandomKeys into side/FlatMap(<lambda at core.py:3228>) [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2022-01-24T01:26:35.432Z: JOB_MESSAGE_DETAILED: Fusing consumer side/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps) into side/MaybeReshuffle/Reshuffle/AddRandomKeys [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2022-01-24T01:26:35.458Z: JOB_MESSAGE_DETAILED: Fusing consumer side/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/WriteStream into side/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps) [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2022-01-24T01:26:35.484Z: JOB_MESSAGE_DETAILED: Fusing consumer side/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/MergeBuckets into side/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/ReadStream [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2022-01-24T01:26:35.505Z: JOB_MESSAGE_DETAILED: Fusing consumer side/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps) into side/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/MergeBuckets [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2022-01-24T01:26:35.536Z: JOB_MESSAGE_DETAILED: Fusing consumer side/MaybeReshuffle/Reshuffle/RemoveRandomKeys into side/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps) [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2022-01-24T01:26:35.561Z: JOB_MESSAGE_DETAILED: Fusing consumer side/Map(decode) into side/MaybeReshuffle/Reshuffle/RemoveRandomKeys [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2022-01-24T01:26:35.593Z: JOB_MESSAGE_DETAILED: Fusing consumer compute/View-python_side_input0-compute/PairWithVoidKey into side/Map(decode) [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2022-01-24T01:26:35.617Z: JOB_MESSAGE_DETAILED: Fusing consumer compute/View-python_side_input0-compute/GroupByKey/WriteStream into compute/View-python_side_input0-compute/PairWithVoidKey [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2022-01-24T01:26:35.647Z: JOB_MESSAGE_DETAILED: Fusing consumer compute/View-python_side_input0-compute/GroupByKey/MergeBuckets into compute/View-python_side_input0-compute/GroupByKey/ReadStream [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2022-01-24T01:26:35.681Z: JOB_MESSAGE_DETAILED: Fusing consumer compute/View-python_side_input0-compute/Values into compute/View-python_side_input0-compute/GroupByKey/MergeBuckets [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2022-01-24T01:26:35.714Z: JOB_MESSAGE_DETAILED: Fusing consumer compute/View-python_side_input0-compute/StreamingPCollectionViewWriter into compute/View-python_side_input0-compute/Values [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2022-01-24T01:26:35.740Z: JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Create/FlatMap(<lambda at core.py:3228>) into assert_that/Create/Impulse [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2022-01-24T01:26:35.769Z: JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Create/Map(decode) into assert_that/Create/FlatMap(<lambda at core.py:3228>) [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2022-01-24T01:26:35.798Z: JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/CoGroupByKeyImpl/Tag[0] into assert_that/Create/Map(decode) [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2022-01-24T01:26:35.827Z: JOB_MESSAGE_DETAILED: Fusing consumer start/FlatMap(<lambda at core.py:3228>) into start/Impulse [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2022-01-24T01:26:35.857Z: JOB_MESSAGE_DETAILED: Fusing consumer start/MaybeReshuffle/Reshuffle/AddRandomKeys into start/FlatMap(<lambda at core.py:3228>) [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2022-01-24T01:26:35.913Z: JOB_MESSAGE_DETAILED: Fusing consumer start/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps) into start/MaybeReshuffle/Reshuffle/AddRandomKeys [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2022-01-24T01:26:35.944Z: JOB_MESSAGE_DETAILED: Fusing consumer start/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/WriteStream into start/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps) [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2022-01-24T01:26:35.979Z: JOB_MESSAGE_DETAILED: Fusing consumer start/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/MergeBuckets into start/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/ReadStream [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2022-01-24T01:26:36.025Z: JOB_MESSAGE_DETAILED: Fusing consumer start/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps) into start/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/MergeBuckets [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2022-01-24T01:26:36.051Z: JOB_MESSAGE_DETAILED: Fusing consumer start/MaybeReshuffle/Reshuffle/RemoveRandomKeys into start/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps) [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2022-01-24T01:26:36.079Z: JOB_MESSAGE_DETAILED: Fusing consumer start/Map(decode) into start/MaybeReshuffle/Reshuffle/RemoveRandomKeys [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2022-01-24T01:26:36.107Z: JOB_MESSAGE_DETAILED: Fusing consumer compute into start/Map(decode) [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2022-01-24T01:26:36.139Z: JOB_MESSAGE_DETAILED: Fusing consumer assert_that/WindowInto(WindowIntoFn) into compute [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2022-01-24T01:26:36.177Z: JOB_MESSAGE_DETAILED: Fusing consumer assert_that/ToVoidKey into assert_that/WindowInto(WindowIntoFn) [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2022-01-24T01:26:36.221Z: JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/CoGroupByKeyImpl/Tag[1] into assert_that/ToVoidKey [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2022-01-24T01:26:36.247Z: JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/CoGroupByKeyImpl/GroupByKey/MergeBuckets into assert_that/Group/CoGroupByKeyImpl/GroupByKey/ReadStream [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2022-01-24T01:26:36.281Z: JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/CoGroupByKeyImpl/MapTuple(collect_values) into assert_that/Group/CoGroupByKeyImpl/GroupByKey/MergeBuckets [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2022-01-24T01:26:36.330Z: JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/RestoreTags into assert_that/Group/CoGroupByKeyImpl/MapTuple(collect_values) [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2022-01-24T01:26:36.354Z: JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Unkey into assert_that/Group/RestoreTags [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2022-01-24T01:26:36.374Z: JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Match into assert_that/Unkey [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2022-01-24T01:26:36.404Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2022-01-24T01:26:36.431Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2022-01-24T01:26:36.467Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2022-01-24T01:26:36.493Z: JOB_MESSAGE_DEBUG: Assigning stage ids. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2022-01-24T01:26:36.551Z: JOB_MESSAGE_DEBUG: Starting worker pool setup. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2022-01-24T01:26:36.586Z: JOB_MESSAGE_BASIC: Starting 1 workers in us-central1-b... [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2022-01-24T01:26:36.624Z: JOB_MESSAGE_DEBUG: Starting worker pool setup. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2022-01-24T01:26:56.079Z: 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 2022-01-24T01:27:20.793Z: 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. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2022-01-24T01:27:49.101Z: JOB_MESSAGE_DETAILED: Workers have started successfully. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2022-01-24T01:27:49.120Z: JOB_MESSAGE_DETAILED: Workers have started successfully. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2022-01-24T01:32:32.118Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2022-01-24T01:32:49.340Z: JOB_MESSAGE_DETAILED: Workers have started successfully. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2022-01-24T01:33:05.783Z: 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 oauth2client.transport:transport.py:183 Refreshing due to a 401 (attempt 1/2) [32mINFO [0m oauth2client.transport:transport.py:183 Refreshing due to a 401 (attempt 1/2) [32mINFO [0m oauth2client.transport:transport.py:183 Refreshing due to a 401 (attempt 1/2) [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:191 Job 2022-01-23_17_26_20-16686122365779715898 is in state JOB_STATE_CANCELLING [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2022-01-24T02:41:10.049Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2022-01-23_17_26_20-16686122365779715898. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2022-01-24T02:41:10.143Z: JOB_MESSAGE_DETAILED: Cleaning up. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2022-01-24T02:41:10.214Z: JOB_MESSAGE_DEBUG: Starting worker pool teardown. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2022-01-24T02:41:10.228Z: JOB_MESSAGE_BASIC: Stopping worker pool... [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2022-01-24T02:41:10.244Z: JOB_MESSAGE_DEBUG: Starting worker pool teardown. [32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2022-01-24T02:41:10.266Z: JOB_MESSAGE_BASIC: Stopping worker pool... [33m=============================== warnings summary ===============================[0m <https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/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_V2/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_V2/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_V2/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_V2/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_V2/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_V2/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_V2/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_V2/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): apache_beam/runners/direct/transform_evaluator.py:1029 apache_beam/runners/direct/transform_evaluator.py:1029 <https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/apache_beam/runners/direct/transform_evaluator.py>:1029: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated since Python 3.3, and in 3.9 it will stop working isinstance(element.value, collections.Iterable) and -- Docs: https://docs.pytest.org/en/latest/warnings.html - generated xml file: <https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/pytest_validatesRunnerStreamingTests-df-py38-xdist.xml> - [31m[1m======== 1 failed, 31 passed, 1 skipped, 10 warnings in 6858.96 seconds ========[0m > Task :sdks:python:test-suites:dataflow:py38:validatesRunnerStreamingTests > FAILED 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: 226 * What went wrong: Execution failed for task ':sdks:python:test-suites:dataflow:py38: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. > Run with --scan to get full insights. * Get more help at https://help.gradle.org BUILD FAILED in 2h 43m 11s 93 actionable tasks: 58 executed, 33 from cache, 2 up-to-date Publishing build scan... https://gradle.com/s/dotwq4drrjpsy 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]
