See
<https://builds.apache.org/job/beam_PostCommit_Python2/2235/display/redirect?page=changes>
Changes:
[github] [BEAM-9746] check for 0 length copies from state (#11413)
------------------------------------------
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INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
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2020-04-14_19_07_46-3387432920793869009 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-04-15T02:07:46.306Z:
JOB_MESSAGE_DETAILED: Autoscaling is enabled for job
2020-04-14_19_07_46-3387432920793869009. The number of workers will be between
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INFO:apache_beam.runners.dataflow.dataflow_runner:2020-04-15T02:07:46.306Z:
JOB_MESSAGE_DETAILED: Autoscaling was automatically enabled for job
2020-04-14_19_07_46-3387432920793869009.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-04-15T02:07:50.142Z:
JOB_MESSAGE_DETAILED: Checking permissions granted to controller Service
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INFO:apache_beam.runners.dataflow.dataflow_runner:2020-04-15T02:07:51.144Z:
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INFO:apache_beam.runners.dataflow.dataflow_runner:2020-04-15T02:07:51.750Z:
JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-04-15T02:07:51.788Z:
JOB_MESSAGE_DEBUG: Combiner lifting skipped for step GroupByKey: GroupByKey not
followed by a combiner.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-04-15T02:07:51.827Z:
JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-04-15T02:07:51.857Z:
JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into
MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-04-15T02:07:51.926Z:
JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-04-15T02:07:51.992Z:
JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-04-15T02:07:52.030Z:
JOB_MESSAGE_DETAILED: Fusing consumer metrics into Create/Read
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-04-15T02:07:52.063Z:
JOB_MESSAGE_DETAILED: Fusing consumer map_to_common_key into metrics
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-04-15T02:07:52.099Z:
JOB_MESSAGE_DETAILED: Fusing consumer GroupByKey/Reify into map_to_common_key
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-04-15T02:07:52.145Z:
JOB_MESSAGE_DETAILED: Fusing consumer GroupByKey/Write into GroupByKey/Reify
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-04-15T02:07:52.179Z:
JOB_MESSAGE_DETAILED: Fusing consumer GroupByKey/GroupByWindow into
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INFO:apache_beam.runners.dataflow.dataflow_runner:2020-04-15T02:07:52.203Z:
JOB_MESSAGE_DETAILED: Fusing consumer m_out into GroupByKey/GroupByWindow
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JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-04-15T02:07:52.512Z:
JOB_MESSAGE_DEBUG: Executing wait step start13
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-04-15T02:07:52.583Z:
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JOB_MESSAGE_DEBUG: Value "GroupByKey/Session" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-04-15T02:07:52.901Z:
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INFO:apache_beam.runners.dataflow.dataflow_runner:2020-04-15T02:08:13.707Z:
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and
https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.delete
Runs streaming Dataflow job and verifies that user metrics are reported ... ok
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JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of workers to 1 based on
the rate of progress in the currently running stage(s).
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JOB_MESSAGE_DETAILED: Autoscaling: Resized worker pool from 1 to 0.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-04-15T02:09:13.553Z:
JOB_MESSAGE_BASIC: Worker pool stopped.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-04-15T02:09:13.589Z:
JOB_MESSAGE_DEBUG: Tearing down pending resources...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job
2020-04-14_19_01_46-5209064770814125163 is in state JOB_STATE_DONE
test_job_python_from_python_it
(apache_beam.transforms.external_it_test.ExternalTransformIT) ... ok
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-04-15T02:09:49.227Z:
JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-04-15T02:09:49.310Z:
JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-04-15T02:13:18.570Z:
JOB_MESSAGE_BASIC: Finished operation
Create/Read+metrics+map_to_common_key+GroupByKey/Reify+GroupByKey/Write
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-04-15T02:13:18.646Z:
JOB_MESSAGE_BASIC: Executing operation GroupByKey/Close
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-04-15T02:13:18.706Z:
JOB_MESSAGE_BASIC: Finished operation GroupByKey/Close
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-04-15T02:13:18.784Z:
JOB_MESSAGE_BASIC: Executing operation
GroupByKey/Read+GroupByKey/GroupByWindow+m_out
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-04-15T02:13:27.911Z:
JOB_MESSAGE_BASIC: Finished operation
GroupByKey/Read+GroupByKey/GroupByWindow+m_out
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-04-15T02:13:27.972Z:
JOB_MESSAGE_DEBUG: Executing success step success11
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-04-15T02:13:28.103Z:
JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-04-15T02:13:28.155Z:
JOB_MESSAGE_DEBUG: Starting worker pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-04-15T02:13:28.193Z:
JOB_MESSAGE_BASIC: Stopping worker pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-04-15T02:15:14.306Z:
JOB_MESSAGE_DETAILED: Autoscaling: Resized worker pool from 1 to 0.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-04-15T02:15:14.369Z:
JOB_MESSAGE_BASIC: Worker pool stopped.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-04-15T02:15:14.423Z:
JOB_MESSAGE_DEBUG: Tearing down pending resources...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job
2020-04-14_19_07_46-3387432920793869009 is in state JOB_STATE_DONE
test_metrics_fnapi_it
(apache_beam.runners.dataflow.dataflow_exercise_metrics_pipeline_test.ExerciseMetricsPipelineTest)
... ok
test_metrics_it
(apache_beam.runners.dataflow.dataflow_exercise_metrics_pipeline_test.ExerciseMetricsPipelineTest)
... ok
----------------------------------------------------------------------
XML: nosetests-postCommitIT-df.xml
----------------------------------------------------------------------
XML:
<https://builds.apache.org/job/beam_PostCommit_Python2/ws/src/sdks/python/nosetests.xml>
----------------------------------------------------------------------
Ran 58 tests in 3854.441s
OK (SKIP=7)
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Worker logs:
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FAILURE: Build failed with an exception.
* Where:
Build file
'<https://builds.apache.org/job/beam_PostCommit_Python2/ws/src/sdks/python/test-suites/direct/py2/build.gradle'>
line: 81
* What went wrong:
Execution failed for task
':sdks:python:test-suites:direct:py2:hdfsIntegrationTest'.
> Process 'command 'sh'' finished with non-zero exit value 255
* 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 6.0.
Use '--warning-mode all' to show the individual deprecation warnings.
See
https://docs.gradle.org/5.2.1/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 1h 5m 52s
129 actionable tasks: 102 executed, 24 from cache, 3 up-to-date
Publishing build scan...
https://gradle.com/s/hfnp36seaktmo
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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