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From Apache Jenkins Server <jenk...@builds.apache.org>
Subject Build failed in Jenkins: beam_PostCommit_Py_VR_Dataflow_V2 #1596
Date Sat, 30 Jan 2021 13:36:24 GMT
See <https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/1596/display/redirect>

Changes:


------------------------------------------
[...truncated 6.66 MB...]
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INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
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INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2021-01-30_05_17_43-14066706405116457060]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2021-01-30_05_17_43-14066706405116457060
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console,
please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2021-01-30_05_17_43-14066706405116457060?project=apache-beam-testing
WARNING:apache_beam.runners.dataflow.test_dataflow_runner:Waiting indefinitely for streaming
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INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2021-01-30_05_17_43-14066706405116457060
is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T13:17:43.717Z: JOB_MESSAGE_DETAILED:
Autoscaling is enabled for job 2021-01-30_05_17_43-14066706405116457060. The number of workers
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INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T13:17:43.717Z: JOB_MESSAGE_DETAILED:
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INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T13:17:43.717Z: JOB_MESSAGE_WARNING:
Autoscaling is enabled for Dataflow Streaming Engine. Workers will scale between 1 and 100
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INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T13:17:48.399Z: JOB_MESSAGE_BASIC:
Worker configuration: n1-standard-2 in us-central1-f.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T13:17:49.246Z: JOB_MESSAGE_DETAILED:
Expanding SplittableParDo operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T13:17:49.287Z: JOB_MESSAGE_DETAILED:
Expanding CollectionToSingleton operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T13:17:49.378Z: JOB_MESSAGE_DETAILED:
Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T13:17:49.411Z: JOB_MESSAGE_DEBUG:
Combiner lifting skipped for step assert_that/Group/GroupByKey: GroupByKey not followed by
a combiner.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T13:17:49.447Z: JOB_MESSAGE_DEBUG:
Combiner lifting skipped for step Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey:
GroupByKey not followed by a combiner.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T13:17:49.492Z: JOB_MESSAGE_DETAILED:
Expanding SplittableProcessKeyed operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T13:17:49.528Z: JOB_MESSAGE_DETAILED:
Expanding GroupByKey operations into streaming Read/Write steps
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T13:17:49.626Z: JOB_MESSAGE_DETAILED:
Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T13:17:49.723Z: JOB_MESSAGE_DEBUG:
Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T13:17:49.775Z: JOB_MESSAGE_DETAILED:
Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T13:17:49.807Z: JOB_MESSAGE_DETAILED:
Unzipping flatten s17 for input s15.None
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T13:17:49.840Z: JOB_MESSAGE_DETAILED:
Fusing unzipped copy of assert_that/Group/GroupByKey/WriteStream, through flatten assert_that/Group/Flatten,
into producer assert_that/Group/pair_with_0
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T13:17:49.873Z: JOB_MESSAGE_DETAILED:
Fusing consumer assert_that/Group/GroupByKey/WriteStream into assert_that/Group/pair_with_1
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T13:17:49.907Z: JOB_MESSAGE_DETAILED:
Fusing consumer Create/FlatMap(<lambda at core.py:2957>) into Create/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T13:17:49.945Z: JOB_MESSAGE_DETAILED:
Fusing consumer assert_that/Create/FlatMap(<lambda at core.py:2957>) into assert_that/Create/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T13:17:49.980Z: JOB_MESSAGE_DETAILED:
Fusing consumer assert_that/Create/Map(decode) into assert_that/Create/FlatMap(<lambda
at core.py:2957>)
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T13:17:50.011Z: JOB_MESSAGE_DETAILED:
Fusing consumer assert_that/Group/pair_with_0 into assert_that/Create/Map(decode)
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T13:17:50.046Z: JOB_MESSAGE_DETAILED:
Fusing consumer Create/MaybeReshuffle/Reshuffle/AddRandomKeys into Create/FlatMap(<lambda
at core.py:2957>)
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T13:17:50.088Z: JOB_MESSAGE_DETAILED:
Fusing consumer Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps) into
Create/MaybeReshuffle/Reshuffle/AddRandomKeys
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T13:17:50.115Z: JOB_MESSAGE_DETAILED:
Fusing consumer Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/WriteStream into
Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps)
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T13:17:50.175Z: JOB_MESSAGE_DETAILED:
Fusing consumer Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/MergeBuckets into
Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/ReadStream
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T13:17:50.199Z: JOB_MESSAGE_DETAILED:
Fusing consumer Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)
into Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/MergeBuckets
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T13:17:50.247Z: JOB_MESSAGE_DETAILED:
Fusing consumer Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys into Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T13:17:50.264Z: JOB_MESSAGE_DETAILED:
Fusing consumer Create/Map(decode) into Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T13:17:50.285Z: JOB_MESSAGE_DETAILED:
Fusing consumer Key param into Create/Map(decode)
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T13:17:50.312Z: JOB_MESSAGE_DETAILED:
Fusing consumer assert_that/WindowInto(WindowIntoFn) into Key param
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T13:17:50.340Z: JOB_MESSAGE_DETAILED:
Fusing consumer assert_that/ToVoidKey into assert_that/WindowInto(WindowIntoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T13:17:50.374Z: JOB_MESSAGE_DETAILED:
Fusing consumer assert_that/Group/pair_with_1 into assert_that/ToVoidKey
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T13:17:50.397Z: JOB_MESSAGE_DETAILED:
Fusing consumer assert_that/Group/GroupByKey/MergeBuckets into assert_that/Group/GroupByKey/ReadStream
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T13:17:50.430Z: JOB_MESSAGE_DETAILED:
Fusing consumer assert_that/Group/Map(_merge_tagged_vals_under_key) into assert_that/Group/GroupByKey/MergeBuckets
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T13:17:50.452Z: JOB_MESSAGE_DETAILED:
Fusing consumer assert_that/Unkey into assert_that/Group/Map(_merge_tagged_vals_under_key)
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T13:17:50.553Z: JOB_MESSAGE_DETAILED:
Fusing consumer assert_that/Match into assert_that/Unkey
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T13:17:50.588Z: JOB_MESSAGE_DEBUG:
Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T13:17:50.611Z: JOB_MESSAGE_DEBUG:
Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T13:17:50.632Z: JOB_MESSAGE_DEBUG:
Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T13:17:50.654Z: JOB_MESSAGE_DEBUG:
Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T13:17:51.840Z: JOB_MESSAGE_DEBUG:
Starting worker pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T13:17:51.875Z: JOB_MESSAGE_DEBUG:
Starting worker pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T13:17:51.907Z: JOB_MESSAGE_BASIC:
Starting 1 workers in us-central1-f...
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T13:18:05.467Z: 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
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T13:18:31.839Z: 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.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T13:19:09.774Z: JOB_MESSAGE_DETAILED:
Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T13:19:09.806Z: JOB_MESSAGE_DETAILED:
Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T13:22:16.234Z: JOB_MESSAGE_DEBUG:
Starting worker pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T13:22:16.363Z: JOB_MESSAGE_BASIC:
Starting 1 workers in us-central1-f...
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T13:22:16.400Z: JOB_MESSAGE_DEBUG:
Starting worker pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T13:22:53.343Z: 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.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T13:23:32.595Z: JOB_MESSAGE_DETAILED:
Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T13:23:32.634Z: JOB_MESSAGE_DETAILED:
Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T13:24:53.008Z: JOB_MESSAGE_DETAILED:
Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T13:24:53.054Z: JOB_MESSAGE_DEBUG:
Starting worker pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T13:24:53.140Z: JOB_MESSAGE_BASIC:
Stopping worker pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T13:24:53.170Z: JOB_MESSAGE_DEBUG:
Starting worker pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T13:24:53.203Z: JOB_MESSAGE_BASIC:
Stopping worker pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T13:25:43.715Z: JOB_MESSAGE_DETAILED:
Autoscaling: Reduced the number of workers to 0 based on low average worker CPU utilization,
and the pipeline having sufficiently low backlog and keeping up with input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T13:25:43.745Z: JOB_MESSAGE_BASIC:
Worker pool stopped.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T13:25:43.780Z: JOB_MESSAGE_DEBUG:
Tearing down pending resources...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2021-01-30_05_17_43-14066706405116457060
is in state JOB_STATE_DONE
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T13:35:15.726Z: JOB_MESSAGE_DETAILED:
Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T13:35:15.767Z: JOB_MESSAGE_DEBUG:
Starting worker pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T13:35:15.786Z: JOB_MESSAGE_BASIC:
Stopping worker pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T13:35:15.957Z: JOB_MESSAGE_DEBUG:
Starting worker pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T13:35:16.011Z: JOB_MESSAGE_BASIC:
Stopping worker pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T13:36:07.328Z: JOB_MESSAGE_DETAILED:
Autoscaling: Reduced the number of workers to 0 based on low average worker CPU utilization,
and the pipeline having sufficiently low backlog and keeping up with input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T13:36:07.389Z: JOB_MESSAGE_BASIC:
Worker pool stopped.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-01-30T13:36:07.416Z: JOB_MESSAGE_DEBUG:
Tearing down pending resources...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2021-01-30_05_03_11-11979480866875398462
is in state JOB_STATE_DONE
Worker logs: https://console.cloud.google.com/dataflow/jobs/us-central1/2021-01-30_04_42_25-6230034910616612254?project=apache-beam-testing
Worker logs: https://console.cloud.google.com/dataflow/jobs/us-central1/2021-01-30_05_03_11-11979480866875398462?project=apache-beam-testing
Worker logs: https://console.cloud.google.com/dataflow/jobs/us-central1/2021-01-30_04_42_27-6961901245873540482?project=apache-beam-testing
Worker logs: https://console.cloud.google.com/dataflow/jobs/us-central1/2021-01-30_04_49_57-4159432226116814464?project=apache-beam-testing
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test_gbk_many_values (apache_beam.runners.portability.fn_api_runner.fn_runner_test.FnApiBasedStateBackedCoderTest)
... ok
Test TimestampCombiner with EARLIEST. ... ok
Test TimestampCombiner with LATEST. ... ok
Runs streaming Dataflow job and verifies that user metrics are reported ... ok
test_flatten_one_single_pcollection (apache_beam.transforms.ptransform_test.PTransformTest)
... ok
test_dofn_lifecycle (apache_beam.transforms.dofn_lifecycle_test.DoFnLifecycleTest) ... ok
test_flatten_a_flattened_pcollection (apache_beam.transforms.ptransform_test.PTransformTest)
... ok
test_flatten_multiple_pcollections_having_multiple_consumers (apache_beam.transforms.ptransform_test.PTransformTest)
... ok
test_flatten_pcollections (apache_beam.transforms.ptransform_test.PTransformTest) ... ok
test_impulse (apache_beam.transforms.ptransform_test.PTransformTest) ... ok
test_multiple_empty_outputs (apache_beam.transforms.ptransform_test.PTransformTest) ... ok
test_par_do_with_multiple_outputs_and_using_return (apache_beam.transforms.ptransform_test.PTransformTest)
... ok
test_par_do_with_multiple_outputs_and_using_yield (apache_beam.transforms.ptransform_test.PTransformTest)
... ok
test_undeclared_outputs (apache_beam.transforms.ptransform_test.PTransformTest) ... ok
test_user_counter_using_pardo (apache_beam.metrics.metric_test.MetricsTest) ... ok
test_as_list_and_as_dict_side_inputs (apache_beam.transforms.sideinputs_test.SideInputsTest)
... ok
test_as_list_twice (apache_beam.transforms.sideinputs_test.SideInputsTest) ... ok
test_as_singleton_with_different_defaults (apache_beam.transforms.sideinputs_test.SideInputsTest)
... ok
test_as_singleton_without_unique_labels (apache_beam.transforms.sideinputs_test.SideInputsTest)
... ok
test_as_dict_twice (apache_beam.transforms.sideinputs_test.SideInputsTest) ... ok
test_default_value_singleton_side_input (apache_beam.transforms.sideinputs_test.SideInputsTest)
... ok
test_combine (apache_beam.transforms.combinefn_lifecycle_test.CombineFnLifecycleTest) ...
ok
test_combining_value_state (apache_beam.transforms.combinefn_lifecycle_test.CombineFnLifecycleTest)
... ok
test_non_liftable_combine (apache_beam.transforms.combinefn_lifecycle_test.CombineFnLifecycleTest)
... ok
test_flattened_side_input (apache_beam.transforms.sideinputs_test.SideInputsTest) ... ok
test_iterable_side_input (apache_beam.transforms.sideinputs_test.SideInputsTest) ... ok
test_reshuffle_preserves_timestamps (apache_beam.transforms.util_test.ReshuffleTest) ... ok
test_element_param (apache_beam.pipeline_test.DoFnTest) ... ok
test_key_param (apache_beam.pipeline_test.DoFnTest) ... ok
test_empty_singleton_side_input (apache_beam.transforms.sideinputs_test.SideInputsTest) ...
ok

----------------------------------------------------------------------
XML: nosetests-validatesRunnerStreamingTests-df-py38.xml
----------------------------------------------------------------------
XML: <https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/nosetests.xml>
----------------------------------------------------------------------
Ran 30 tests in 3252.568s

OK

> Task :sdks:python:test-suites:dataflow:validatesRunnerStreamingTestsV2

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: 146

* What went wrong:
Execution failed for task ':sdks:python:test-suites:dataflow:py38:validatesRunnerBatchTests'.
> 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 7.0.
Use '--warning-mode all' to show the individual deprecation warnings.
See https://docs.gradle.org/6.8/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1h 35m 53s
81 actionable tasks: 51 executed, 30 from cache

Publishing build scan...
https://gradle.com/s/pj47fxl7qavqs

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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