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Posted to builds@beam.apache.org by Apache Jenkins Server <je...@builds.apache.org> on 2022/10/07 10:23:23 UTC
Build failed in Jenkins: beam_PostCommit_Py_VR_Dataflow #9926
See <https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow/9926/display/redirect?page=changes>
Changes:
[toran.sahu] fix typo - s/befrehand/beforehand
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[...truncated 245.59 KB...]
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-10-07T10:10:23.490Z: JOB_MESSAGE_BASIC: Using cloud KMLS key to protect persistent state.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-10-07T10:10:23.611Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-10-07T10:10:23.642Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-10-07T10:10:23.667Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-10-07T10:10:23.699Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-10-07T10:10:23.748Z: JOB_MESSAGE_DEBUG: Starting worker pool setup.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-10-07T10:10:23.782Z: JOB_MESSAGE_BASIC: Starting 1 workers in us-central1-a...
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-10-07T10:10:23.831Z: JOB_MESSAGE_DEBUG: Starting worker pool setup.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-10-07T10:10:48.340Z: 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 2022-10-07T10:11:06.510Z: 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:256 Timing out on waiting for job 2022-10-07_03_10_00-17386904283402452029 after 61 seconds
> Task :sdks:python:test-suites:dataflow:py39:validatesRunnerStreamingTests
[1m[31mERROR [0m apache_beam.io.gcp.tests.pubsub_matcher:pubsub_matcher.py:167 Timeout after 600 sec. Received 0 messages from projects/apache-beam-testing/subscriptions/exercise_streaming_metrics_subscription_output99d017f8-d16c-4bc5-945d-5eaea7901b3c.
[31mFAILED[0m
=================================== FAILURES ===================================
[31m[1m_ ExerciseStreamingMetricsPipelineTest.test_streaming_pipeline_returns_expected_user_metrics_fnapi_it _[0m
self = <apache_beam.runners.dataflow.dataflow_exercise_streaming_metrics_pipeline_test.ExerciseStreamingMetricsPipelineTest testMethod=test_streaming_pipeline_returns_expected_user_metrics_fnapi_it>
@pytest.mark.it_validatesrunner
@pytest.mark.no_sickbay_batch
@pytest.mark.no_xdist
def test_streaming_pipeline_returns_expected_user_metrics_fnapi_it(self):
"""
Runs streaming Dataflow job and verifies that user metrics are reported
correctly.
"""
self._inject_words(self.input_topic, MESSAGES_TO_PUBLISH)
> result = self.run_pipeline()
[1m[31mapache_beam/runners/dataflow/dataflow_exercise_streaming_metrics_pipeline_test.py[0m:140:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
[1m[31mapache_beam/runners/dataflow/dataflow_exercise_streaming_metrics_pipeline_test.py[0m:128: in run_pipeline
return dataflow_exercise_streaming_metrics_pipeline.run(argv)
[1m[31mapache_beam/runners/dataflow/dataflow_exercise_streaming_metrics_pipeline.py[0m:99: in run
result = pipeline.run()
[1m[31mapache_beam/pipeline.py[0m:574: in run
return self.runner.run_pipeline(self, self._options)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <apache_beam.runners.dataflow.test_dataflow_runner.TestDataflowRunner object at 0x7fa903b1ac70>
pipeline = <apache_beam.pipeline.Pipeline object at 0x7fa903b1a7c0>
options = <apache_beam.options.pipeline_options.PipelineOptions object at 0x7fa903b1a8b0>
def run_pipeline(self, pipeline, options):
"""Execute test pipeline and verify test matcher"""
test_options = options.view_as(TestOptions)
on_success_matcher = test_options.on_success_matcher
wait_duration = test_options.wait_until_finish_duration
is_streaming = options.view_as(StandardOptions).streaming
# [BEAM-1889] Do not send this to remote workers also, there is no need to
# send this option to remote executors.
test_options.on_success_matcher = None
self.result = super().run_pipeline(pipeline, options)
if self.result.has_job:
# TODO(markflyhigh)(https://github.com/apache/beam/issues/18254): Use
# print since Nose dosen't show logs in some cases.
print('Worker logs: %s' % self.build_console_url(options))
_LOGGER.info('Console log: ')
_LOGGER.info(self.build_console_url(options))
try:
self.wait_until_in_state(PipelineState.RUNNING)
if is_streaming and not wait_duration:
_LOGGER.warning('Waiting indefinitely for streaming job.')
self.result.wait_until_finish(duration=wait_duration)
if on_success_matcher:
from hamcrest import assert_that as hc_assert_that
> hc_assert_that(self.result, pickler.loads(on_success_matcher))
[1m[31mE AssertionError: [0m
[1m[31mE Expected: (Test pipeline expected terminated in state: RUNNING and Expected 3 messages.)[0m
[1m[31mE but: Expected 3 messages. Got 0 messages. Diffs (item, count):[0m
[1m[31mE Expected but not in actual: dict_items([(b'message a', 1), (b'message b b', 1), (b'message c', 1)])[0m
[1m[31mE Unexpected: dict_items([])[0m
[1m[31mE Unexpected (with all details): [][0m
[1m[31mapache_beam/runners/dataflow/test_dataflow_runner.py[0m:70: AssertionError
------------------------------ Captured log call -------------------------------
[32mINFO [0m apache_beam.runners.portability.stager:stager.py:754 Executing command: ['<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow/ws/src/build/gradleenv/-1734967050/bin/python3.9',> '-m', 'pip', 'download', '--dest', '/tmp/dataflow-requirements-cache', '-r', '/tmp/tmpfuy6n8lo/tmp_requirements.txt', '--exists-action', 'i', '--no-deps', '--implementation', 'cp', '--abi', 'cp39', '--platform', 'manylinux2014_x86_64']
[32mINFO [0m apache_beam.runners.portability.stager:stager.py:325 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.
[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:2.43.0.dev
[32mINFO [0m root:environments.py:295 Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/python39-fnapi:beam-master-20220914
[32mINFO [0m root:environments.py:302 Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/python39-fnapi:beam-master-20220914" for Docker environment
[32mINFO [0m apache_beam.internal.gcp.auth:auth.py:136 Setting socket default timeout to 60 seconds.
[32mINFO [0m apache_beam.internal.gcp.auth:auth.py:138 socket default timeout is 60.0 seconds.
[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:732 Starting GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-1007100815-016196-nthvafm2.1665137295.016377/requirements.txt...
[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:748 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-1007100815-016196-nthvafm2.1665137295.016377/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-1007100815-016196-nthvafm2.1665137295.016377/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-1007100815-016196-nthvafm2.1665137295.016377/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-1007100815-016196-nthvafm2.1665137295.016377/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-1007100815-016196-nthvafm2.1665137295.016377/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-1007100815-016196-nthvafm2.1665137295.016377/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-1007100815-016196-nthvafm2.1665137295.016377/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-1007100815-016196-nthvafm2.1665137295.016377/seaborn-0.12.0-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-1007100815-016196-nthvafm2.1665137295.016377/seaborn-0.12.0-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-1007100815-016196-nthvafm2.1665137295.016377/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-1007100815-016196-nthvafm2.1665137295.016377/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-1007100815-016196-nthvafm2.1665137295.016377/transformers-4.21.3-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-1007100815-016196-nthvafm2.1665137295.016377/transformers-4.21.3-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-1007100815-016196-nthvafm2.1665137295.016377/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-1007100815-016196-nthvafm2.1665137295.016377/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-1007100815-016196-nthvafm2.1665137295.016377/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-1007100815-016196-nthvafm2.1665137295.016377/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-1007100815-016196-nthvafm2.1665137295.016377/torch-1.12.1-cp37-cp37m-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-1007100815-016196-nthvafm2.1665137295.016377/torch-1.12.1-cp37-cp37m-manylinux1_x86_64.whl in 32 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-1007100815-016196-nthvafm2.1665137295.016377/torchvision-0.13.1-cp37-cp37m-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-1007100815-016196-nthvafm2.1665137295.016377/torchvision-0.13.1-cp37-cp37m-manylinux1_x86_64.whl in 1 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-1007100815-016196-nthvafm2.1665137295.016377/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-1007100815-016196-nthvafm2.1665137295.016377/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-1007100815-016196-nthvafm2.1665137295.016377/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-1007100815-016196-nthvafm2.1665137295.016377/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-1007100815-016196-nthvafm2.1665137295.016377/Pillow-9.2.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl...
[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:748 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-1007100815-016196-nthvafm2.1665137295.016377/Pillow-9.2.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl in 0 seconds.
[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:732 Starting GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-1007100815-016196-nthvafm2.1665137295.016377/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-1007100815-016196-nthvafm2.1665137295.016377/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-1007100815-016196-nthvafm2.1665137295.016377/matplotlib-3.6.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl...
[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:748 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-1007100815-016196-nthvafm2.1665137295.016377/matplotlib-3.6.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl in 0 seconds.
[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:732 Starting GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-1007100815-016196-nthvafm2.1665137295.016377/matplotlib-3.5.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl...
[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:748 Completed GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-1007100815-016196-nthvafm2.1665137295.016377/matplotlib-3.5.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl in 0 seconds.
[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:732 Starting GCS upload to gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-1007100815-016196-nthvafm2.1665137295.016377/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-1007100815-016196-nthvafm2.1665137295.016377/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-1007100815-016196-nthvafm2.1665137295.016377/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-1007100815-016196-nthvafm2.1665137295.016377/dataflow-worker.jar in 5 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-1007100815-016196-nthvafm2.1665137295.016377/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-1007100815-016196-nthvafm2.1665137295.016377/pipeline.pb in 0 seconds.
[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:911 Create job: <Job
clientRequestId: '20221007100815017417-2535'
createTime: '2022-10-07T10:08:59.885269Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2022-10-07_03_08_59-9433657138217366675'
location: 'us-central1'
name: 'beamapp-jenkins-1007100815-016196-nthvafm2'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2022-10-07T10:08:59.885269Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:913 Created job with id: [2022-10-07_03_08_59-9433657138217366675]
[32mINFO [0m apache_beam.runners.dataflow.internal.apiclient:apiclient.py:914 Submitted job: 2022-10-07_03_08_59-9433657138217366675
[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-central1/2022-10-07_03_08_59-9433657138217366675?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-central1/2022-10-07_03_08_59-9433657138217366675?project=apache-beam-testing
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:197 Job 2022-10-07_03_08_59-9433657138217366675 is in state JOB_STATE_RUNNING
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-10-07T10:09:00.692Z: 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 2022-10-07T10:09:00.840Z: JOB_MESSAGE_DETAILED: Autoscaling is enabled for job 2022-10-07_03_08_59-9433657138217366675. The number of workers will be between 1 and 100.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-10-07T10:09:00.883Z: JOB_MESSAGE_DETAILED: Autoscaling was automatically enabled for job 2022-10-07_03_08_59-9433657138217366675.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-10-07T10:09:08.268Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-a.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-10-07T10:09:10.985Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-10-07T10:09:11.042Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-10-07T10:09:11.140Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-10-07T10:09:11.200Z: JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into optimizable parts.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-10-07T10:09:11.259Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write steps
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-10-07T10:09:11.296Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-10-07T10:09:11.334Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-10-07T10:09:11.420Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-10-07T10:09:11.476Z: JOB_MESSAGE_DETAILED: Fusing consumer generate_metrics into ReadFromPubSub/Read
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-10-07T10:09:11.523Z: JOB_MESSAGE_DETAILED: Fusing consumer dump_to_pub/ToProtobuf into generate_metrics
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-10-07T10:09:11.570Z: 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 2022-10-07T10:09:11.635Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-10-07T10:09:11.668Z: JOB_MESSAGE_BASIC: Using cloud KMLS key to protect persistent state.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-10-07T10:09:11.823Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-10-07T10:09:11.862Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-10-07T10:09:11.920Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-10-07T10:09:11.954Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-10-07T10:09:12.074Z: JOB_MESSAGE_DEBUG: Starting worker pool setup.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-10-07T10:09:12.126Z: JOB_MESSAGE_DEBUG: Starting worker pool setup.
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-10-07T10:09:12.170Z: JOB_MESSAGE_BASIC: Starting 1 workers in us-central1-a...
[32mINFO [0m apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242 2022-10-07T10:09:15.686Z: 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 2022-10-07T10:09:51.318Z: 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 2022-10-07_03_08_59-9433657138217366675 after 60 seconds
[1m[31mERROR [0m apache_beam.io.gcp.tests.pubsub_matcher:pubsub_matcher.py:167 Timeout after 600 sec. Received 0 messages from projects/apache-beam-testing/subscriptions/exercise_streaming_metrics_subscription_output99d017f8-d16c-4bc5-945d-5eaea7901b3c.
[33m=============================== warnings summary ===============================[0m
../../build/gradleenv/-1734967050/lib/python3.9/site-packages/hdfs/config.py:15
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow/ws/src/build/gradleenv/-1734967050/lib/python3.9/site-packages/hdfs/config.py>:15: DeprecationWarning: the imp module is deprecated in favour of importlib; see the module's documentation for alternative uses
from imp import load_source
../../build/gradleenv/-1734967050/lib/python3.9/site-packages/tenacity/_asyncio.py:42
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow/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):
apache_beam/typehints/pandas_type_compatibility_test.py:66
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow/ws/src/sdks/python/apache_beam/typehints/pandas_type_compatibility_test.py>:66: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.
}).set_index(pd.Int64Index(range(123, 223), name='an_index')),
apache_beam/typehints/pandas_type_compatibility_test.py:89
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow/ws/src/sdks/python/apache_beam/typehints/pandas_type_compatibility_test.py>:89: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.
pd.Int64Index(range(123, 223), name='an_index'),
apache_beam/typehints/pandas_type_compatibility_test.py:90
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow/ws/src/sdks/python/apache_beam/typehints/pandas_type_compatibility_test.py>:90: FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas in a future version. Use pandas.Index with the appropriate dtype instead.
pd.Int64Index(range(475, 575), name='another_index'),
-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
- generated xml file: <https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow/ws/src/sdks/python/pytest_validatesRunnerStreamingTests-df-py39-noxdist.xml> -
=========================== short test summary info ============================
FAILED apache_beam/runners/dataflow/dataflow_exercise_streaming_metrics_pipeline_test.py::ExerciseStreamingMetricsPipelineTest::test_streaming_pipeline_returns_expected_user_metrics_fnapi_it
[31m==== [31m[1m1 failed[0m, [33m3 skipped[0m, [33m6680 deselected[0m, [33m5 warnings[0m[31m in 908.20s (0:15:08)[0m[31m =====[0m
> Task :sdks:python:test-suites:dataflow:py39:validatesRunnerStreamingTests FAILED
> Task :sdks:python:test-suites:dataflow:py37:validatesRunnerStreamingTests
[32mPASSED[0m
[33m=============================== warnings summary ===============================[0m
../../build/gradleenv/-1734967052/lib/python3.7/site-packages/hdfs/config.py:15
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow/ws/src/build/gradleenv/-1734967052/lib/python3.7/site-packages/hdfs/config.py>:15: DeprecationWarning: the imp module is deprecated in favour of importlib; see the module's documentation for alternative uses
from imp import load_source
-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
- generated xml file: <https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow/ws/src/sdks/python/pytest_validatesRunnerStreamingTests-df-py37-noxdist.xml> -
[33m===== [32m1 passed[0m, [33m[1m3 skipped[0m, [33m[1m6680 deselected[0m, [33m[1m1 warning[0m[33m in 863.30s (0:14:23)[0m[33m =====[0m
FAILURE: Build failed with an exception.
* Where:
Script '<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow/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.
* Get more help at https://help.gradle.org
Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.
You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.
See https://docs.gradle.org/7.5.1/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 2h 3m 48s
100 actionable tasks: 65 executed, 33 from cache, 2 up-to-date
Publishing build scan...
https://gradle.com/s/bmohg56uo6rqo
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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