[jira] [Work logged] (BEAM-13480) apache_beam.io.gcp.pubsub_integration_test.PubSubIntegrationTest.test_streaming_data_only is flaky

["ASF GitHub Bot (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/BEAM-13480?focusedWorklogId=703464&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-703464 ]

ASF GitHub Bot logged work on BEAM-13480:
-----------------------------------------

                Author: ASF GitHub Bot
            Created on: 04/Jan/22 18:39
            Start Date: 04/Jan/22 18:39
    Worklog Time Spent: 10m 
      Work Description: TheNeuralBit merged pull request #16255:
URL: https://github.com/apache/beam/pull/16255


   


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Issue Time Tracking
-------------------

    Worklog Id:     (was: 703464)
    Time Spent: 1.5h  (was: 1h 20m)

> apache_beam.io.gcp.pubsub_integration_test.PubSubIntegrationTest.test_streaming_data_only is flaky
> --------------------------------------------------------------------------------------------------
>
>                 Key: BEAM-13480
>                 URL: https://issues.apache.org/jira/browse/BEAM-13480
>             Project: Beam
>          Issue Type: Bug
>          Components: test-failures
>            Reporter: Andy Ye
>            Assignee: Andy Ye
>            Priority: P1
>          Time Spent: 1.5h
>  Remaining Estimate: 0h
>
> One of the integration tests is failing in {*}PostCommits{*}: 
> [https://ci-beam.apache.org/job/beam_PostCommit_Python36/lastBuild/testReport/apache_beam.io.gcp.pubsub_integration_test/PubSubIntegrationTest/test_streaming_data_only/] 
> {code:java}
> self = <apache_beam.io.gcp.pubsub_integration_test.PubSubIntegrationTest testMethod=test_streaming_data_only>
>     @pytest.mark.it_postcommit
>     def test_streaming_data_only(self):
> >     self._test_streaming(with_attributes=False)
> apache_beam/io/gcp/pubsub_integration_test.py:209: 
> _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
> apache_beam/io/gcp/pubsub_integration_test.py:205: in _test_streaming
>     timestamp_attribute=self.TIMESTAMP_ATTRIBUTE)
> apache_beam/io/gcp/pubsub_it_pipeline.py:93: in run_pipeline
>     result = p.run()
> apache_beam/pipeline.py:573: in run
>     return self.runner.run_pipeline(self, self._options)
> _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
> self = <apache_beam.runners.dataflow.test_dataflow_runner.TestDataflowRunner object at 0x7face48c99e8>
> pipeline = <apache_beam.pipeline.Pipeline object at 0x7face48c9278>
> options = <apache_beam.options.pipeline_options.PipelineOptions object at 0x7face4891588>
>     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)(BEAM-1890): Use print since Nose dosen't show logs
>         # in some cases.
>         print('Worker logs: %s' % 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))
> E         AssertionError: 
> E         Expected: (Test pipeline expected terminated in state: RUNNING and Expected 4 messages.)
> E              but: Expected 4 messages. Got 0 messages. Diffs (item, count):
> E           Expected but not in actual: dict_items([(b'data001-seen', 1), (b'data002-seen', 1), (b'data003\xab\xac-seen', 1), (b'data004\xab\xac-seen', 1)])
> E           Unexpected: dict_items([])
> apache_beam/runners/dataflow/test_dataflow_runner.py:68: AssertionError{code}



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