You are viewing a plain text version of this content. The canonical link for it is here.

Posted to builds@beam.apache.org by Apache Jenkins Server <je...@builds.apache.org> on 2021/12/16 14:27:52 UTC

Build failed in Jenkins: beam_PostCommit_Py_VR_Dataflow #8759

See <https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow/8759/display/redirect>

Changes:


------------------------------------------
[...truncated 229.30 KB...]
  File "<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow/ws/src/build/gradleenv/-1734967051/lib/python3.8/site-packages/execnet/gateway_base.py",> line 967, in _thread_receiver
    msg = Message.from_io(io)
  File "<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow/ws/src/build/gradleenv/-1734967051/lib/python3.8/site-packages/execnet/gateway_base.py",> line 432, in from_io
    header = io.read(9)  # type 1, channel 4, payload 4
  File "<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow/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 ++++++++++++++++++++++++++++++++++++

[gw6] [31mFAILED[0m apache_beam/transforms/ptransform_test.py::PTransformTest::test_flatten_pcollections 
apache_beam/transforms/sideinputs_test.py::SideInputsTest::test_as_singleton_with_different_defaults 
[gw6] [32mPASSED[0m apache_beam/transforms/sideinputs_test.py::SideInputsTest::test_as_singleton_with_different_defaults 

=================================== FAILURES ===================================
[31m[1m___________________ PTransformTest.test_flatten_pcollections ___________________[0m
[gw6] linux -- Python 3.8.9 <https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow/ws/src/build/gradleenv/-1734967051/bin/python3.8>

self = <apache_beam.transforms.ptransform_test.PTransformTest testMethod=test_flatten_pcollections>

[1m    @pytest.mark.it_validatesrunner[0m
[1m    def test_flatten_pcollections(self):[0m
[1m      with TestPipeline() as pipeline:[0m
[1m        pcoll_1 = pipeline | 'Start 1' >> beam.Create([0, 1, 2, 3])[0m
[1m        pcoll_2 = pipeline | 'Start 2' >> beam.Create([4, 5, 6, 7])[0m
[1m        result = (pcoll_1, pcoll_2) | 'Flatten' >> beam.Flatten()[0m
[1m>       assert_that(result, equal_to([0, 1, 2, 3, 4, 5, 6, 7]))[0m

[1m[31mapache_beam/transforms/ptransform_test.py[0m:686: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[1m[31mapache_beam/pipeline.py[0m:596: in __exit__
[1m    self.result = self.run()[0m
[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: '20211216125754331576-3684'
 createTime: '2021-12-16T12:58:03.133229Z'
...12-16T12:58:03.133229Z'
 steps: []
 tempFiles: []
 type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)> at 0x7f5d11255430>
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:1624: Failed
------------------------------ Captured log call -------------------------------
[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/-1734967051/bin/python3.8',> '-m', 'pip', 'download', '--dest', '/tmp/dataflow-requirements-cache', '-r', '/tmp/tmpnt1kd70p/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.
[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:2.36.0.dev
[32mINFO    [0m root:environments.py:295 Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/python38-fnapi:beam-master-20211213
[32mINFO    [0m root:environments.py:302 Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/python38-fnapi:beam-master-20211213" for Docker environment
[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-1216125754-330336.1639659474.330483/requirements.txt...
[32mINFO    [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:664 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-1216125754-330336.1639659474.330483/requirements.txt 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-1216125754-330336.1639659474.330483/pbr-5.6.0.tar.gz...
[32mINFO    [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:664 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-1216125754-330336.1639659474.330483/pbr-5.6.0.tar.gz 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-1216125754-330336.1639659474.330483/pbr-5.7.0.tar.gz...
[32mINFO    [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:664 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-1216125754-330336.1639659474.330483/pbr-5.7.0.tar.gz 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-1216125754-330336.1639659474.330483/pbr-5.8.0.tar.gz...
[32mINFO    [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:664 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-1216125754-330336.1639659474.330483/pbr-5.8.0.tar.gz 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-1216125754-330336.1639659474.330483/mock-2.0.0.tar.gz...
[32mINFO    [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:664 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-1216125754-330336.1639659474.330483/mock-2.0.0.tar.gz 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-1216125754-330336.1639659474.330483/six-1.15.0.tar.gz...
[32mINFO    [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:664 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-1216125754-330336.1639659474.330483/six-1.15.0.tar.gz 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-1216125754-330336.1639659474.330483/six-1.16.0.tar.gz...
[32mINFO    [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:664 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-1216125754-330336.1639659474.330483/six-1.16.0.tar.gz 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-1216125754-330336.1639659474.330483/soupsieve-2.3.tar.gz...
[32mINFO    [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:664 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-1216125754-330336.1639659474.330483/soupsieve-2.3.tar.gz 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-1216125754-330336.1639659474.330483/soupsieve-2.2.1.tar.gz...
[32mINFO    [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:664 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-1216125754-330336.1639659474.330483/soupsieve-2.2.1.tar.gz 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-1216125754-330336.1639659474.330483/soupsieve-2.3.1.tar.gz...
[32mINFO    [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:664 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-1216125754-330336.1639659474.330483/soupsieve-2.3.1.tar.gz 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-1216125754-330336.1639659474.330483/PyHamcrest-1.10.1.tar.gz...
[32mINFO    [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:664 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-1216125754-330336.1639659474.330483/PyHamcrest-1.10.1.tar.gz 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-1216125754-330336.1639659474.330483/parameterized-0.7.5.tar.gz...
[32mINFO    [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:664 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-1216125754-330336.1639659474.330483/parameterized-0.7.5.tar.gz 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-1216125754-330336.1639659474.330483/beautifulsoup4-4.10.0.tar.gz...
[32mINFO    [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:664 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-1216125754-330336.1639659474.330483/beautifulsoup4-4.10.0.tar.gz 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-1216125754-330336.1639659474.330483/dataflow_python_sdk.tar...
[32mINFO    [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:664 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-1216125754-330336.1639659474.330483/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-1216125754-330336.1639659474.330483/dataflow-worker.jar...
[32mINFO    [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:664 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-1216125754-330336.1639659474.330483/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-1216125754-330336.1639659474.330483/pipeline.pb...
[32mINFO    [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:664 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-1216125754-330336.1639659474.330483/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: '20211216125754331576-3684'
                                                                           createTime: '2021-12-16T12:58:03.133229Z'
                                                                           currentStateTime: '1970-01-01T00:00:00Z'
                                                                           id: '2021-12-16_04_58_02-13489098828798228203'
                                                                           location: 'us-central1'
                                                                           name: 'beamapp-jenkins-1216125754-330336'
                                                                           projectId: 'apache-beam-testing'
                                                                           stageStates: []
                                                                           startTime: '2021-12-16T12:58:03.133229Z'
                                                                           steps: []
                                                                           tempFiles: []
                                                                           type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
[32mINFO    [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:830 Created job with id: [2021-12-16_04_58_02-13489098828798228203]
[32mINFO    [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:831 Submitted job: 2021-12-16_04_58_02-13489098828798228203
[32mINFO    [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:832 To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2021-12-16_04_58_02-13489098828798228203?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 2021-12-16_04_58_02-13489098828798228203 is in state JOB_STATE_RUNNING
[32mINFO    [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-12-16T12:58:02.320Z: 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 2021-12-16T12:58:02.321Z: 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 2021-12-16T12:58:05.883Z: 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 2021-12-16T12:58:05.969Z: JOB_MESSAGE_DETAILED: Autoscaling is enabled for job 2021-12-16_04_58_02-13489098828798228203. The number of workers will be between 1 and 100.
[32mINFO    [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-12-16T12:58:06.006Z: JOB_MESSAGE_DETAILED: Autoscaling was automatically enabled for job 2021-12-16_04_58_02-13489098828798228203.
[32mINFO    [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-12-16T12:58:11.624Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-a.
[32mINFO    [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-12-16T12:58:12.333Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts.
[32mINFO    [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-12-16T12:58:12.364Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts.
[32mINFO    [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-12-16T12:58:12.431Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
[32mINFO    [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-12-16T12:58:12.458Z: 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 2021-12-16T12:58:12.494Z: JOB_MESSAGE_DEBUG: Combiner lifting skipped for step Start 2/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey: GroupByKey not followed by a combiner.
[32mINFO    [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-12-16T12:58:12.522Z: JOB_MESSAGE_DEBUG: Combiner lifting skipped for step Start 1/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey: GroupByKey not followed by a combiner.
[32mINFO    [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-12-16T12:58:12.557Z: JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into optimizable parts.
[32mINFO    [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-12-16T12:58:12.578Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write steps
[32mINFO    [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-12-16T12:58:12.695Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
[32mINFO    [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-12-16T12:58:12.820Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
[32mINFO    [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-12-16T12:58:12.862Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
[32mINFO    [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-12-16T12:58:12.922Z: JOB_MESSAGE_DEBUG: Inserted coder converter before flatten ref_AppliedPTransform_assert_that-Group-CoGroupByKeyImpl-Flatten_39
[32mINFO    [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-12-16T12:58:12.949Z: JOB_MESSAGE_DEBUG: Inserted coder converter before flatten ref_AppliedPTransform_assert_that-Group-CoGroupByKeyImpl-Flatten_39
[32mINFO    [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-12-16T12:58:12.986Z: 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-post15
[32mINFO    [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-12-16T12:58:13.020Z: JOB_MESSAGE_DETAILED: Fusing unzipped copy of assert_that/Group/CoGroupByKeyImpl/GroupByKey/WriteStream, through flatten assert_that/Group/CoGroupByKeyImpl/Flatten, into producer assert_that/Group/CoGroupByKeyImpl/Flatten/InputIdentity
[32mINFO    [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-12-16T12:58:13.048Z: JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/CoGroupByKeyImpl/GroupByKey/WriteStream into assert_that/Group/CoGroupByKeyImpl/Flatten/InputIdentity
[32mINFO    [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-12-16T12:58:13.084Z: JOB_MESSAGE_DETAILED: Unzipping flatten ref_AppliedPTransform_Flatten_26 for input ref_AppliedPTransform_Start-1-Map-decode-_13.None
[32mINFO    [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-12-16T12:58:13.114Z: JOB_MESSAGE_DETAILED: Fusing unzipped copy of assert_that/WindowInto(WindowIntoFn), through flatten Flatten, into producer Start 1/Map(decode)
[32mINFO    [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-12-16T12:58:13.162Z: 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 2021-12-16T12:58:13.191Z: JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/CoGroupByKeyImpl/Flatten/InputIdentity into assert_that/Group/CoGroupByKeyImpl/Tag[1]
[32mINFO    [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-12-16T12:58:13.235Z: JOB_MESSAGE_DETAILED: Unzipping flatten ref_AppliedPTransform_Flatten_26-u25 for input ref_AppliedPTransform_assert_that-WindowInto-WindowIntoFn-_33.None-c23
[32mINFO    [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-12-16T12:58:13.259Z: JOB_MESSAGE_DETAILED: Fusing unzipped copy of assert_that/ToVoidKey, through flatten Flatten/Unzipped-1, into producer assert_that/WindowInto(WindowIntoFn)
[32mINFO    [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-12-16T12:58:13.321Z: JOB_MESSAGE_DETAILED: Fusing consumer assert_that/WindowInto(WindowIntoFn) into Start 2/Map(decode)
[32mINFO    [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-12-16T12:58:13.354Z: 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 2021-12-16T12:58:13.379Z: JOB_MESSAGE_DETAILED: Fusing consumer Start 1/FlatMap(<lambda at core.py:3224>) into Start 1/Impulse
[32mINFO    [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-12-16T12:58:13.416Z: JOB_MESSAGE_DETAILED: Fusing consumer Start 1/MaybeReshuffle/Reshuffle/AddRandomKeys into Start 1/FlatMap(<lambda at core.py:3224>)
[32mINFO    [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-12-16T12:58:13.459Z: JOB_MESSAGE_DETAILED: Fusing consumer Start 1/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps) into Start 1/MaybeReshuffle/Reshuffle/AddRandomKeys
[32mINFO    [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-12-16T12:58:13.485Z: JOB_MESSAGE_DETAILED: Fusing consumer Start 1/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/WriteStream into Start 1/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps)
[32mINFO    [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-12-16T12:58:13.519Z: JOB_MESSAGE_DETAILED: Fusing consumer Start 1/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/MergeBuckets into Start 1/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/ReadStream
[32mINFO    [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-12-16T12:58:13.557Z: JOB_MESSAGE_DETAILED: Fusing consumer Start 1/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps) into Start 1/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/MergeBuckets
[32mINFO    [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-12-16T12:58:13.591Z: JOB_MESSAGE_DETAILED: Fusing consumer Start 1/MaybeReshuffle/Reshuffle/RemoveRandomKeys into Start 1/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)
[32mINFO    [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-12-16T12:58:13.625Z: JOB_MESSAGE_DETAILED: Fusing consumer Start 1/Map(decode) into Start 1/MaybeReshuffle/Reshuffle/RemoveRandomKeys
[32mINFO    [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-12-16T12:58:13.658Z: JOB_MESSAGE_DETAILED: Fusing consumer Start 2/FlatMap(<lambda at core.py:3224>) into Start 2/Impulse
[32mINFO    [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-12-16T12:58:13.696Z: JOB_MESSAGE_DETAILED: Fusing consumer Start 2/MaybeReshuffle/Reshuffle/AddRandomKeys into Start 2/FlatMap(<lambda at core.py:3224>)
[32mINFO    [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-12-16T12:58:13.731Z: JOB_MESSAGE_DETAILED: Fusing consumer Start 2/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps) into Start 2/MaybeReshuffle/Reshuffle/AddRandomKeys
[32mINFO    [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-12-16T12:58:13.760Z: JOB_MESSAGE_DETAILED: Fusing consumer Start 2/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/WriteStream into Start 2/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps)
[32mINFO    [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-12-16T12:58:13.790Z: JOB_MESSAGE_DETAILED: Fusing consumer Start 2/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/MergeBuckets into Start 2/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/ReadStream
[32mINFO    [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-12-16T12:58:13.825Z: JOB_MESSAGE_DETAILED: Fusing consumer Start 2/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps) into Start 2/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/MergeBuckets
[32mINFO    [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-12-16T12:58:13.862Z: JOB_MESSAGE_DETAILED: Fusing consumer Start 2/MaybeReshuffle/Reshuffle/RemoveRandomKeys into Start 2/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)
[32mINFO    [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-12-16T12:58:13.889Z: JOB_MESSAGE_DETAILED: Fusing consumer Start 2/Map(decode) into Start 2/MaybeReshuffle/Reshuffle/RemoveRandomKeys
[32mINFO    [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-12-16T12:58:13.932Z: JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Create/FlatMap(<lambda at core.py:3224>) into assert_that/Create/Impulse
[32mINFO    [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-12-16T12:58:13.971Z: JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Create/Map(decode) into assert_that/Create/FlatMap(<lambda at core.py:3224>)
[32mINFO    [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-12-16T12:58:14.009Z: 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 2021-12-16T12:58:14.049Z: JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/CoGroupByKeyImpl/Flatten/InputIdentity into assert_that/Group/CoGroupByKeyImpl/Tag[0]
[32mINFO    [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-12-16T12:58:14.080Z: 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 2021-12-16T12:58:14.119Z: 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 2021-12-16T12:58:14.148Z: 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 2021-12-16T12:58:14.182Z: 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 2021-12-16T12:58:14.209Z: JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Match into assert_that/Unkey
[32mINFO    [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-12-16T12:58:14.268Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
[32mINFO    [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-12-16T12:58:14.290Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
[32mINFO    [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-12-16T12:58:14.312Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
[32mINFO    [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-12-16T12:58:14.336Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
[32mINFO    [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-12-16T12:58:14.415Z: JOB_MESSAGE_DEBUG: Starting worker pool setup.
[32mINFO    [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-12-16T12:58:14.458Z: JOB_MESSAGE_BASIC: Starting 1 workers in us-central1-a...
[32mINFO    [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-12-16T12:58:14.491Z: JOB_MESSAGE_DEBUG: Starting worker pool setup.
[32mINFO    [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-12-16T12:58:26.979Z: 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 2021-12-16T12:59:04.289Z: 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 2021-12-16T12:59:33.417Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
[32mINFO    [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-12-16T12:59:33.453Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
[32mINFO    [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-12-16T13:04:23.779Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-a.
[32mINFO    [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-12-16T13:04:39.021Z: 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 2021-12-16T13:04:41.685Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
[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 2021-12-16_04_58_02-13489098828798228203 is in state JOB_STATE_CANCELLING
[32mINFO    [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-12-16T14:12:52.958Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2021-12-16_04_58_02-13489098828798228203.
[32mINFO    [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-12-16T14:12:53.068Z: JOB_MESSAGE_DETAILED: Cleaning up.
[32mINFO    [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-12-16T14:12:53.118Z: JOB_MESSAGE_DEBUG: Starting worker pool teardown.
[32mINFO    [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-12-16T14:12:53.157Z: JOB_MESSAGE_BASIC: Stopping worker pool...
[32mINFO    [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-12-16T14:12:53.184Z: JOB_MESSAGE_DEBUG: Starting worker pool teardown.
[32mINFO    [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236 2021-12-16T14:12:53.219Z: JOB_MESSAGE_BASIC: Stopping worker pool...
[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
<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
<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
<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
  <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-xdist.xml> -
[31m[1m======== 1 failed, 29 passed, 3 skipped, 8 warnings in 6157.97 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/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

Deprecated Gradle features were used in this build, making it incompatible with Gradle 7.0.
Use '--warning-mode all' to show the individual deprecation warnings.
See https://docs.gradle.org/6.9.1/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 2h 27m 6s
92 actionable tasks: 62 executed, 30 from cache

Publishing build scan...
https://gradle.com/s/wvfs65xuxmv6w

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure


---------------------------------------------------------------------
To unsubscribe, e-mail: builds-unsubscribe@beam.apache.org
For additional commands, e-mail: builds-help@beam.apache.org

Jenkins build is back to normal : beam_PostCommit_Py_VR_Dataflow #8760

Posted by Apache Jenkins Server <je...@builds.apache.org>.

See <https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow/8760/display/redirect?page=changes>


---------------------------------------------------------------------
To unsubscribe, e-mail: builds-unsubscribe@beam.apache.org
For additional commands, e-mail: builds-help@beam.apache.org