See
<https://ci-beam.apache.org/job/beam_PostCommit_Python_Examples_Dataflow/29/display/redirect?page=changes>
Changes:
[noreply] [BEAM-13679] playground - move quick start category to the top
(#16808)
[noreply] Update license_script.sh (#16789)
[noreply] [BEAM-13908] [Coverage] Better testing coverage for gcpopts (#16816)
[noreply] Merge pull request #16809 from [BEAM-12164] Added integration test for
------------------------------------------
[...truncated 475.77 KB...]
[1m test_pipeline = TestPipeline(is_integration_test=True)[0m
[1m [0m
[1m # Setup the files with expected content.[0m
[1m temp_folder = tempfile.mkdtemp()[0m
[1m self.create_content_input_file([0m
[1m os.path.join(temp_folder, 'input.txt'),[0m
[1m '\n'.join(map(json.dumps, self.SAMPLE_RECORDS)))[0m
[1m extra_opts = {[0m
[1m 'input': '%s/input.txt' % temp_folder,[0m
[1m 'output': os.path.join(temp_folder, 'result')[0m
[1m }[0m
[1m coders.run(test_pipeline.get_full_options_as_args(**extra_opts))[0m
[1m [0m
[1m # Load result file and compare.[0m
[1m with open_shards(os.path.join(temp_folder, 'result-*-of-*')) as
result_file:[0m
[1m result = result_file.read().strip()[0m
[1m [0m
[1m self.assertEqual([0m
[1m> sorted(self.EXPECTED_RESULT),
sorted(self.format_result(result)))[0m
[1m[31mapache_beam/examples/cookbook/coders_test.py[0m:98:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
[1m[31mapache_beam/examples/cookbook/coders_test.py[0m:60: in format_result
[1m result_list = list([0m
[1m[31mapache_beam/examples/cookbook/coders_test.py[0m:62: in <lambda>
[1m lambda result_elem: format_tuple(result_elem.split(',')),[0m
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
result_elem_list = ['']
[1m def format_tuple(result_elem_list):[0m
[1m> [country, counter] = result_elem_list[0m
[1m[31mE ValueError: not enough values to unpack (expected 2, got 1)[0m
[1m[31mapache_beam/examples/cookbook/coders_test.py[0m:57: ValueError
------------------------------ Captured log call -------------------------------
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[33mWARNING [0m apache_beam.options.pipeline_options:pipeline_options.py:309
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[33mWARNING [0m apache_beam.options.pipeline_options:pipeline_options.py:309
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[32mINFO [0m
apache_beam.runners.dataflow.internal.apiclient:apiclient.py:886 Create job:
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[32mINFO [0m
apache_beam.runners.dataflow.internal.apiclient:apiclient.py:888 Created job
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[32mINFO [0m
apache_beam.runners.dataflow.internal.apiclient:apiclient.py:889 Submitted job:
2022-02-10_23_37_21-15099663679967344226
[32mINFO [0m
apache_beam.runners.dataflow.internal.apiclient:apiclient.py:890 To access the
Dataflow monitoring console, please navigate to
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[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:191 Job
2022-02-10_23_37_21-15099663679967344226 is in state JOB_STATE_RUNNING
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2022-02-11T07:37:25.361Z: JOB_MESSAGE_DETAILED: Autoscaling is enabled for job
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1 and 1000.
[32mINFO [0m
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2022-02-11T07:37:25.747Z: JOB_MESSAGE_DETAILED: Autoscaling was automatically
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[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2022-02-11T07:37:28.193Z: JOB_MESSAGE_BASIC: Worker configuration:
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[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2022-02-11T07:37:30.057Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo
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[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2022-02-11T07:37:30.099Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton
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[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2022-02-11T07:37:30.188Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey
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[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2022-02-11T07:37:30.225Z: JOB_MESSAGE_DEBUG: Combiner lifting skipped for step
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[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2022-02-11T07:37:30.295Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations
into optimizable parts.
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2022-02-11T07:37:30.324Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner
information.
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2022-02-11T07:37:30.354Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read,
Write, and Flatten operations
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2022-02-11T07:37:30.417Z: JOB_MESSAGE_DETAILED: Fusing consumer
write/Write/WriteImpl/InitializeWrite into
write/Write/WriteImpl/DoOnce/Map(decode)
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2022-02-11T07:37:30.450Z: JOB_MESSAGE_DETAILED: Fusing consumer
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[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2022-02-11T07:37:30.475Z: JOB_MESSAGE_DETAILED: Fusing consumer
ref_AppliedPTransform_read-Read-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_7/PairWithRestriction
into read/Read/Map(<lambda at iobase.py:898>)
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2022-02-11T07:37:30.520Z: JOB_MESSAGE_DETAILED: Fusing consumer
ref_AppliedPTransform_read-Read-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_7/SplitWithSizing
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ref_AppliedPTransform_read-Read-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_7/PairWithRestriction
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2022-02-11T07:37:30.546Z: JOB_MESSAGE_DETAILED: Fusing consumer points into
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[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2022-02-11T07:37:30.578Z: JOB_MESSAGE_DETAILED: Fusing consumer
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[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2022-02-11T07:37:30.609Z: JOB_MESSAGE_DETAILED: Fusing consumer
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[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2022-02-11T07:37:30.629Z: JOB_MESSAGE_DETAILED: Fusing consumer
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[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2022-02-11T07:37:30.662Z: JOB_MESSAGE_DETAILED: Fusing consumer
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[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2022-02-11T07:37:30.683Z: JOB_MESSAGE_DETAILED: Fusing consumer
write/Write/WriteImpl/WindowInto(WindowIntoFn) into
CombinePerKey(sum)/Combine/Extract
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2022-02-11T07:37:30.716Z: JOB_MESSAGE_DETAILED: Fusing consumer
write/Write/WriteImpl/DoOnce/FlatMap(<lambda at core.py:3228>) into
write/Write/WriteImpl/DoOnce/Impulse
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2022-02-11T07:37:30.750Z: JOB_MESSAGE_DETAILED: Fusing consumer
write/Write/WriteImpl/DoOnce/Map(decode) into
write/Write/WriteImpl/DoOnce/FlatMap(<lambda at core.py:3228>)
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2022-02-11T07:37:30.773Z: JOB_MESSAGE_DETAILED: Fusing consumer
write/Write/WriteImpl/WriteBundles into
write/Write/WriteImpl/WindowInto(WindowIntoFn)
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2022-02-11T07:37:30.808Z: JOB_MESSAGE_DETAILED: Fusing consumer
write/Write/WriteImpl/Pair into write/Write/WriteImpl/WriteBundles
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2022-02-11T07:37:30.840Z: JOB_MESSAGE_DETAILED: Fusing consumer
write/Write/WriteImpl/GroupByKey/Write into write/Write/WriteImpl/Pair
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2022-02-11T07:37:30.873Z: JOB_MESSAGE_DETAILED: Fusing consumer
write/Write/WriteImpl/Extract into write/Write/WriteImpl/GroupByKey/Read
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2022-02-11T07:37:30.910Z: JOB_MESSAGE_DEBUG: Workflow config is missing a
default resource spec.
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2022-02-11T07:37:30.939Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and
teardown to workflow graph.
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2022-02-11T07:37:30.963Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop
steps.
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2022-02-11T07:37:30.997Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2022-02-11T07:37:31.147Z: JOB_MESSAGE_DEBUG: Executing wait step start34
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2022-02-11T07:37:31.224Z: JOB_MESSAGE_BASIC: Executing operation
write/Write/WriteImpl/DoOnce/Impulse+write/Write/WriteImpl/DoOnce/FlatMap(<lambda
at
core.py:3228>)+write/Write/WriteImpl/DoOnce/Map(decode)+write/Write/WriteImpl/InitializeWrite
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2022-02-11T07:37:31.258Z: JOB_MESSAGE_BASIC: Executing operation
read/Read/Impulse+read/Read/Map(<lambda at
iobase.py:898>)+ref_AppliedPTransform_read-Read-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_7/PairWithRestriction+ref_AppliedPTransform_read-Read-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_7/SplitWithSizing
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2022-02-11T07:37:31.271Z: JOB_MESSAGE_DEBUG: Starting worker pool setup.
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2022-02-11T07:37:31.289Z: JOB_MESSAGE_BASIC: Executing operation
CombinePerKey(sum)/GroupByKey/Create
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2022-02-11T07:37:31.300Z: JOB_MESSAGE_BASIC: Starting 1 workers in
us-central1-b...
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2022-02-11T07:37:31.312Z: JOB_MESSAGE_BASIC: Executing operation
write/Write/WriteImpl/GroupByKey/Create
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2022-02-11T07:37:31.361Z: JOB_MESSAGE_BASIC: Finished operation
CombinePerKey(sum)/GroupByKey/Create
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2022-02-11T07:37:31.362Z: JOB_MESSAGE_BASIC: Finished operation
write/Write/WriteImpl/GroupByKey/Create
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2022-02-11T07:37:31.444Z: JOB_MESSAGE_DEBUG: Value
"write/Write/WriteImpl/GroupByKey/Session" materialized.
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:236
2022-02-11T07:37:31.476Z: JOB_MESSAGE_DEBUG: Value
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apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:191 Job
2022-02-10_23_37_21-15099663679967344226 is in state JOB_STATE_DONE
[33m=============================== warnings summary
===============================[0m
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-- Docs: https://docs.pytest.org/en/latest/warnings.html
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-
[31m[1m===== 4 failed, 3 passed, 5200 deselected, 12 warnings in 4814.35
seconds ======[0m
> Task :sdks:python:test-suites:dataflow:py38:examples FAILED
FAILURE: Build failed with an exception.
* Where:
Script
'<https://ci-beam.apache.org/job/beam_PostCommit_Python_Examples_Dataflow/ws/src/sdks/python/test-suites/dataflow/common.gradle'>
line: 182
* What went wrong:
Execution failed for task ':sdks:python:test-suites:dataflow:py38:examples'.
> 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
BUILD FAILED in 1h 47m 56s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date
Publishing build scan...
https://gradle.com/s/qcm3o7hnrkhmo
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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