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Build failed in Jenkins: beam_PostCommit_Py_VR_Dataflow_V2 #3656
See <https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/3656/display/redirect>
Changes:
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[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-07-10T04:29:10.590Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-07-10T04:29:10.671Z: JOB_MESSAGE_DEBUG: Starting worker pool setup.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-07-10T04:29:10.740Z: JOB_MESSAGE_BASIC: Starting 1 workers in us-central1-b...
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-07-10T04:29:10.791Z: JOB_MESSAGE_DEBUG: Starting worker pool setup.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-07-10T04:29:22.954Z: 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:242 2022-07-10T04:29:47.589Z: 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:253 Timing out on waiting for job 2022-07-09_21_28_57-15014571162616357883 after 60 seconds
[31mFAILED[0m
=================================== FAILURES ===================================
[31m[1m_ ExerciseStreamingMetricsPipelineTest.test_streaming_pipeline_returns_expected_user_metrics_fnapi_it _[0m
args = (subscription: "projects/apache-beam-testing/subscriptions/exercise_streaming_metrics_subscription_output805c0cf3-f8fc-4232-94e5-2ed9d1d77a21"
max_messages: 50
,)
kwargs = {'metadata': [('x-goog-request-params', 'subscription=projects/apache-beam-testing/subscriptions/exercise_streaming_me...32-94e5-2ed9d1d77a21'), ('x-goog-api-client', 'gl-python/3.9.10 grpc/1.47.0 gax/1.31.6 gccl/2.13.1')], 'timeout': 30.0}
[1m @six.wraps(callable_)[0m
[1m def error_remapped_callable(*args, **kwargs):[0m
[1m try:[0m
[1m> return callable_(*args, **kwargs)[0m
[1m[31m../../build/gradleenv/-1734967050/lib/python3.9/site-packages/google/api_core/grpc_helpers.py[0m:67:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <grpc._channel._UnaryUnaryMultiCallable object at 0x7fcf9bc20130>
request = subscription: "projects/apache-beam-testing/subscriptions/exercise_streaming_metrics_subscription_output805c0cf3-f8fc-4232-94e5-2ed9d1d77a21"
max_messages: 50
timeout = 30.0
metadata = [('x-goog-request-params', 'subscription=projects/apache-beam-testing/subscriptions/exercise_streaming_metrics_subscri...ut805c0cf3-f8fc-4232-94e5-2ed9d1d77a21'), ('x-goog-api-client', 'gl-python/3.9.10 grpc/1.47.0 gax/1.31.6 gccl/2.13.1')]
credentials = None, wait_for_ready = None, compression = None
[1m def __call__(self,[0m
[1m request,[0m
[1m timeout=None,[0m
[1m metadata=None,[0m
[1m credentials=None,[0m
[1m wait_for_ready=None,[0m
[1m compression=None):[0m
[1m state, call, = self._blocking(request, timeout, metadata, credentials,[0m
[1m wait_for_ready, compression)[0m
[1m> return _end_unary_response_blocking(state, call, False, None)[0m
[1m[31m../../build/gradleenv/-1734967050/lib/python3.9/site-packages/grpc/_channel.py[0m:946:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
state = <grpc._channel._RPCState object at 0x7fcf9bc20f10>
call = <grpc._cython.cygrpc.SegregatedCall object at 0x7fcf9bc8ef80>
with_call = False, deadline = None
[1m def _end_unary_response_blocking(state, call, with_call, deadline):[0m
[1m if state.code is grpc.StatusCode.OK:[0m
[1m if with_call:[0m
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[1m return state.response, rendezvous[0m
[1m else:[0m
[1m return state.response[0m
[1m else:[0m
[1m> raise _InactiveRpcError(state)[0m
[1m[31mE grpc._channel._InactiveRpcError: <_InactiveRpcError of RPC that terminated with:[0m
[1m[31mE status = StatusCode.DEADLINE_EXCEEDED[0m
[1m[31mE details = "Deadline Exceeded"[0m
[1m[31mE debug_error_string = "{"created":"@1657427786.200209197","description":"Deadline Exceeded","file":"src/core/ext/filters/deadline/deadline_filter.cc","file_line":81,"grpc_status":4}"[0m
[1m[31mE >[0m
[1m[31m../../build/gradleenv/-1734967050/lib/python3.9/site-packages/grpc/_channel.py[0m:849: _InactiveRpcError
[33mThe above exception was the direct cause of the following exception:[0m
self = <apache_beam.runners.dataflow.dataflow_exercise_streaming_metrics_pipeline_test.ExerciseStreamingMetricsPipelineTest testMethod=test_streaming_pipeline_returns_expected_user_metrics_fnapi_it>
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[1m @pytest.mark.no_sickbay_batch[0m
[1m @pytest.mark.no_xdist[0m
[1m def test_streaming_pipeline_returns_expected_user_metrics_fnapi_it(self):[0m
[1m """[0m
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[1m correctly.[0m
[1m """[0m
[1m self._inject_words(self.input_topic, MESSAGES_TO_PUBLISH)[0m
[1m> result = self.run_pipeline()[0m
[1m[31mapache_beam/runners/dataflow/dataflow_exercise_streaming_metrics_pipeline_test.py[0m:136:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
[1m[31mapache_beam/runners/dataflow/dataflow_exercise_streaming_metrics_pipeline_test.py[0m:124: in run_pipeline
[1m return dataflow_exercise_streaming_metrics_pipeline.run(argv)[0m
[1m[31mapache_beam/runners/dataflow/dataflow_exercise_streaming_metrics_pipeline.py[0m:99: in run
[1m result = pipeline.run()[0m
[1m[31mapache_beam/pipeline.py[0m:574: in run
[1m return self.runner.run_pipeline(self, self._options)[0m
[1m[31mapache_beam/runners/dataflow/test_dataflow_runner.py[0m:70: in run_pipeline
[1m hc_assert_that(self.result, pickler.loads(on_success_matcher))[0m
[1m[31m../../build/gradleenv/-1734967050/lib/python3.9/site-packages/hamcrest/core/core/allof.py[0m:19: in matches
[1m if not matcher.matches(item):[0m
[1m[31m../../build/gradleenv/-1734967050/lib/python3.9/site-packages/hamcrest/core/base_matcher.py[0m:28: in matches
[1m match_result = self._matches(item)[0m
[1m[31mapache_beam/io/gcp/tests/pubsub_matcher.py[0m:116: in _matches
[1m self.messages, self.messages_all_details = self._wait_for_messages([0m
[1m[31mapache_beam/io/gcp/tests/pubsub_matcher.py[0m:131: in _wait_for_messages
[1m response = sub_client.pull([0m
[1m[31m../../build/gradleenv/-1734967050/lib/python3.9/site-packages/google/pubsub_v1/services/subscriber/client.py[0m:1402: in pull
[1m response = rpc([0m
[1m[31m../../build/gradleenv/-1734967050/lib/python3.9/site-packages/google/api_core/gapic_v1/method.py[0m:145: in __call__
[1m return wrapped_func(*args, **kwargs)[0m
[1m[31m../../build/gradleenv/-1734967050/lib/python3.9/site-packages/google/api_core/retry.py[0m:286: in retry_wrapped_func
[1m return retry_target([0m
[1m[31m../../build/gradleenv/-1734967050/lib/python3.9/site-packages/google/api_core/retry.py[0m:189: in retry_target
[1m return target()[0m
[1m[31m../../build/gradleenv/-1734967050/lib/python3.9/site-packages/google/api_core/timeout.py[0m:102: in func_with_timeout
[1m return func(*args, **kwargs)[0m
[1m[31m../../build/gradleenv/-1734967050/lib/python3.9/site-packages/google/api_core/grpc_helpers.py[0m:69: in error_remapped_callable
[1m six.raise_from(exceptions.from_grpc_error(exc), exc)[0m
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
value = None
from_value = <_InactiveRpcError of RPC that terminated with:
status = StatusCode.DEADLINE_EXCEEDED
details = "Deadline Exceeded"
...ption":"Deadline Exceeded","file":"src/core/ext/filters/deadline/deadline_filter.cc","file_line":81,"grpc_status":4}"
>
[1m> ???[0m
[1m[31mE google.api_core.exceptions.DeadlineExceeded: 504 Deadline Exceeded[0m
[1m[31m<string>[0m:3: DeadlineExceeded
------------------------------ Captured log call -------------------------------
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[32mINFO [0m apache_beam.runners.portability.stager:stager.py:325 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:477 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_python3.9_sdk:2.41.0.dev
[32mINFO [0m root:environments.py:295 Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/python39-fnapi:beam-master-20220617
[32mINFO [0m root:environments.py:302 Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/python39-fnapi:beam-master-20220617" for Docker environment
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[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-0710042845-124621-nthvafm2.1657427325.124854/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-0710042845-124621-nthvafm2.1657427325.124854/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-0710042845-124621-nthvafm2.1657427325.124854/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-0710042845-124621-nthvafm2.1657427325.124854/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-0710042845-124621-nthvafm2.1657427325.124854/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-0710042845-124621-nthvafm2.1657427325.124854/seaborn-0.11.2-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-0710042845-124621-nthvafm2.1657427325.124854/seaborn-0.11.2-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-0710042845-124621-nthvafm2.1657427325.124854/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-0710042845-124621-nthvafm2.1657427325.124854/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-0710042845-124621-nthvafm2.1657427325.124854/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-0710042845-124621-nthvafm2.1657427325.124854/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-0710042845-124621-nthvafm2.1657427325.124854/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-0710042845-124621-nthvafm2.1657427325.124854/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-0710042845-124621-nthvafm2.1657427325.124854/matplotlib-3.5.2-cp38-cp38-manylinux_2_5_x86_64.manylinux1_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-0710042845-124621-nthvafm2.1657427325.124854/matplotlib-3.5.2-cp38-cp38-manylinux_2_5_x86_64.manylinux1_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-0710042845-124621-nthvafm2.1657427325.124854/matplotlib-3.5.2-cp39-cp39-manylinux_2_5_x86_64.manylinux1_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-0710042845-124621-nthvafm2.1657427325.124854/matplotlib-3.5.2-cp39-cp39-manylinux_2_5_x86_64.manylinux1_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-0710042845-124621-nthvafm2.1657427325.124854/matplotlib-3.5.1-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_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-0710042845-124621-nthvafm2.1657427325.124854/matplotlib-3.5.1-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_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-0710042845-124621-nthvafm2.1657427325.124854/matplotlib-3.5.2-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_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-0710042845-124621-nthvafm2.1657427325.124854/matplotlib-3.5.2-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_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-0710042845-124621-nthvafm2.1657427325.124854/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-0710042845-124621-nthvafm2.1657427325.124854/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-0710042845-124621-nthvafm2.1657427325.124854/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-0710042845-124621-nthvafm2.1657427325.124854/dataflow-worker.jar in 7 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-0710042845-124621-nthvafm2.1657427325.124854/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-0710042845-124621-nthvafm2.1657427325.124854/pipeline.pb in 0 seconds.
[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:911 Create job: <Job
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location: 'us-central1'
name: 'beamapp-jenkins-0710042845-124621-nthvafm2'
projectId: 'apache-beam-testing'
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tempFiles: []
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[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:913 Created job with id: [2022-07-09_21_28_57-15014571162616357883]
[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:914 Submitted job: 2022-07-09_21_28_57-15014571162616357883
[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-central1/2022-07-09_21_28_57-15014571162616357883?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-central1/2022-07-09_21_28_57-15014571162616357883?project=apache-beam-testing
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:197 Job 2022-07-09_21_28_57-15014571162616357883 is in state JOB_STATE_RUNNING
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-07-10T04:28:58.139Z: 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:242 2022-07-10T04:28:58.512Z: JOB_MESSAGE_DETAILED: Autoscaling is enabled for job 2022-07-09_21_28_57-15014571162616357883. The number of workers will be between 1 and 100.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-07-10T04:28:58.542Z: JOB_MESSAGE_DETAILED: Autoscaling was automatically enabled for job 2022-07-09_21_28_57-15014571162616357883.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-07-10T04:29:09.054Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-07-10T04:29:09.986Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-07-10T04:29:10.016Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-07-10T04:29:10.093Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-07-10T04:29:10.138Z: JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into optimizable parts.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-07-10T04:29:10.175Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write steps
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-07-10T04:29:10.235Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-07-10T04:29:10.287Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-07-10T04:29:10.324Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-07-10T04:29:10.353Z: JOB_MESSAGE_DETAILED: Fusing consumer generate_metrics into ReadFromPubSub/Read
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-07-10T04:29:10.386Z: JOB_MESSAGE_DETAILED: Fusing consumer dump_to_pub/ToProtobuf into generate_metrics
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-07-10T04:29:10.424Z: 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:242 2022-07-10T04:29:10.468Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-07-10T04:29:10.500Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-07-10T04:29:10.523Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-07-10T04:29:10.554Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-07-10T04:29:10.590Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-07-10T04:29:10.671Z: JOB_MESSAGE_DEBUG: Starting worker pool setup.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-07-10T04:29:10.740Z: JOB_MESSAGE_BASIC: Starting 1 workers in us-central1-b...
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-07-10T04:29:10.791Z: JOB_MESSAGE_DEBUG: Starting worker pool setup.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-07-10T04:29:22.954Z: 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:242 2022-07-10T04:29:47.589Z: 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:253 Timing out on waiting for job 2022-07-09_21_28_57-15014571162616357883 after 60 seconds
[33m=============================== warnings summary ===============================[0m
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/build/gradleenv/-1734967050/lib/python3.9/site-packages/tenacity/_asyncio.py>:42
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/build/gradleenv/-1734967050/lib/python3.9/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_V2/ws/src/sdks/python/pytest_validatesRunnerStreamingTests-df-py39-noxdist.xml> -
[31m[1m====== 1 failed, 1 skipped, 6512 deselected, 1 warnings in 562.28 seconds ======[0m
> Task :sdks:python:test-suites:dataflow:py39: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: 287
* What went wrong:
Execution failed for task ':sdks:python:test-suites:dataflow:py39: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 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/7.4/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 1h 29m 19s
93 actionable tasks: 58 executed, 33 from cache, 2 up-to-date
Publishing build scan...
https://gradle.com/s/kakigdsnynv7w
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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