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Posted to builds@beam.apache.org by Apache Jenkins Server <je...@builds.apache.org> on 2021/05/06 19:35:52 UTC

Build failed in Jenkins: beam_PostCommit_Py_VR_Dataflow_V2 #1981

See <https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/1981/display/redirect?page=changes>

Changes:

[Kyle Weaver] [BEAM-11990] [zetasql] Enable UDF with DATE arguments/return type.

[Kyle Weaver] [BEAM-11990] Support DATE UDF in CREATE FUNCTION path.

[Andrew Pilloud] [BEAM-12289] Reject GROUP BY ROLLUP, remove from docs

[noreply] [BEAM-12231] Bump Dataflow container version (#14744)


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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: [2021-05-06_12_26_21-16245431166005965024]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2021-05-06_12_26_21-16245431166005965024
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INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-06T19:26:24.728Z: JOB_MESSAGE_WARNING: Autoscaling is enabled for Dataflow Streaming Engine. Workers will scale between 1 and 100 unless maxNumWorkers is specified.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-06T19:26:25.624Z: JOB_MESSAGE_DETAILED: Autoscaling is enabled for job 2021-05-06_12_26_21-16245431166005965024. The number of workers will be between 1 and 100.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-06T19:26:25.636Z: JOB_MESSAGE_DETAILED: Autoscaling was automatically enabled for job 2021-05-06_12_26_21-16245431166005965024.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-06T19:26:27.853Z: JOB_MESSAGE_BASIC: Worker configuration: n1-standard-2 in us-central1-f.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-06T19:26:28.653Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-06T19:26:28.676Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-06T19:26:28.774Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-06T19:26:28.828Z: 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:2021-05-06T19:26:28.867Z: 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:2021-05-06T19:26:28.896Z: JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-06T19:26:28.961Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write steps
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-06T19:26:29.032Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-06T19:26:29.112Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-06T19:26:29.147Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-06T19:26:29.175Z: JOB_MESSAGE_DETAILED: Unzipping flatten s17 for input s15.None
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-06T19:26:29.197Z: 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:2021-05-06T19:26:29.221Z: JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/GroupByKey/WriteStream into assert_that/Group/pair_with_1
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-06T19:26:29.248Z: JOB_MESSAGE_DETAILED: Fusing consumer Create/FlatMap(<lambda at core.py:2930>) into Create/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-06T19:26:29.304Z: JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Create/FlatMap(<lambda at core.py:2930>) into assert_that/Create/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-06T19:26:29.328Z: JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Create/Map(decode) into assert_that/Create/FlatMap(<lambda at core.py:2930>)
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-06T19:26:29.353Z: JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/pair_with_0 into assert_that/Create/Map(decode)
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-06T19:26:29.378Z: JOB_MESSAGE_DETAILED: Fusing consumer Create/MaybeReshuffle/Reshuffle/AddRandomKeys into Create/FlatMap(<lambda at core.py:2930>)
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-06T19:26:29.402Z: JOB_MESSAGE_DETAILED: Fusing consumer Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps) into Create/MaybeReshuffle/Reshuffle/AddRandomKeys
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-06T19:26:29.425Z: 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:2021-05-06T19:26:29.473Z: 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:2021-05-06T19:26:29.495Z: 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:2021-05-06T19:26:29.520Z: JOB_MESSAGE_DETAILED: Fusing consumer Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys into Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-06T19:26:29.546Z: JOB_MESSAGE_DETAILED: Fusing consumer Create/Map(decode) into Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-06T19:26:29.580Z: JOB_MESSAGE_DETAILED: Fusing consumer Key param into Create/Map(decode)
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-06T19:26:29.603Z: JOB_MESSAGE_DETAILED: Fusing consumer assert_that/WindowInto(WindowIntoFn) into Key param
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-06T19:26:29.627Z: JOB_MESSAGE_DETAILED: Fusing consumer assert_that/ToVoidKey into assert_that/WindowInto(WindowIntoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-06T19:26:29.659Z: JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/pair_with_1 into assert_that/ToVoidKey
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-06T19:26:29.706Z: JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/GroupByKey/MergeBuckets into assert_that/Group/GroupByKey/ReadStream
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-06T19:26:29.725Z: 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:2021-05-06T19:26:29.748Z: 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:2021-05-06T19:26:29.762Z: JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Match into assert_that/Unkey
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-06T19:26:29.791Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-06T19:26:29.816Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-06T19:26:29.839Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-06T19:26:29.862Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-06T19:26:29.910Z: JOB_MESSAGE_DEBUG: Starting worker pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-06T19:26:29.950Z: JOB_MESSAGE_BASIC: Starting 1 workers in us-central1-f...
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-06T19:26:29.977Z: JOB_MESSAGE_DEBUG: Starting worker pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-06T19:26:41.586Z: 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:2021-05-06T19:27:15.482Z: 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:2021-05-06T19:27:42.834Z: 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:2021-05-06T19:27:42.872Z: JOB_MESSAGE_BASIC: Worker pool stopped.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-06T19:27:42.909Z: JOB_MESSAGE_DEBUG: Tearing down pending resources...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2021-05-06_12_16_43-6170740171716926309 is in state JOB_STATE_DONE
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-06T19:27:58.602Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-06T19:27:58.758Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-06T19:34:32.244Z: JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-06T19:34:32.493Z: JOB_MESSAGE_DEBUG: Starting worker pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-06T19:34:32.518Z: JOB_MESSAGE_BASIC: Stopping worker pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-06T19:34:32.540Z: JOB_MESSAGE_DEBUG: Starting worker pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-06T19:34:32.566Z: JOB_MESSAGE_BASIC: Stopping worker pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-06T19:35:24.706Z: 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:2021-05-06T19:35:24.767Z: JOB_MESSAGE_BASIC: Worker pool stopped.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-06T19:35:24.792Z: JOB_MESSAGE_DEBUG: Tearing down pending resources...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2021-05-06_12_26_21-16245431166005965024 is in state JOB_STATE_DONE
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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_dofn_lifecycle (apache_beam.transforms.dofn_lifecycle_test.DoFnLifecycleTest) ... ok
test_flatten_a_flattened_pcollection (apache_beam.transforms.ptransform_test.PTransformTest) ... ok
test_user_counter_using_pardo (apache_beam.metrics.metric_test.MetricsTest) ... ok
test_flatten_multiple_pcollections_having_multiple_consumers (apache_beam.transforms.ptransform_test.PTransformTest) ... ok
test_flatten_one_single_pcollection (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_combine (apache_beam.transforms.combinefn_lifecycle_test.CombineFnLifecycleTest) ... ok
test_combining_value_state (apache_beam.transforms.combinefn_lifecycle_test.CombineFnLifecycleTest) ... SKIP: BEAM-11793
test_non_liftable_combine (apache_beam.transforms.combinefn_lifecycle_test.CombineFnLifecycleTest) ... ok
test_run_packable_combine_globally (apache_beam.runners.portability.fn_api_runner.translations_test.TranslationsTest) ... ok
test_run_packable_combine_per_key (apache_beam.runners.portability.fn_api_runner.translations_test.TranslationsTest) ... ok
test_undeclared_outputs (apache_beam.transforms.ptransform_test.PTransformTest) ... ok
test_as_dict_twice (apache_beam.transforms.sideinputs_test.SideInputsTest) ... ok
test_as_singleton_with_different_defaults (apache_beam.transforms.sideinputs_test.SideInputsTest) ... ok
test_empty_singleton_side_input (apache_beam.transforms.sideinputs_test.SideInputsTest) ... ok
test_default_value_singleton_side_input (apache_beam.transforms.sideinputs_test.SideInputsTest) ... ok
test_as_singleton_without_unique_labels (apache_beam.transforms.sideinputs_test.SideInputsTest) ... ok
test_as_list_and_as_dict_side_inputs (apache_beam.transforms.sideinputs_test.SideInputsTest) ... ok
test_flattened_side_input (apache_beam.transforms.sideinputs_test.SideInputsTest) ... ok
test_as_list_twice (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_reiterable_side_input (apache_beam.transforms.sideinputs_test.SideInputsTest) ... ok
test_element_param (apache_beam.pipeline_test.DoFnTest) ... ok
test_key_param (apache_beam.pipeline_test.DoFnTest) ... 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 33 tests in 2882.634s

OK (SKIP=1)

> 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/6.8.3/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 1h 35m 22s
81 actionable tasks: 53 executed, 28 from cache

Publishing build scan...
https://gradle.com/s/o7x4lrbuwrrss

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

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beam_PostCommit_Py_VR_Dataflow_V2 - Build # 1982 - Aborted!

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beam_PostCommit_Py_VR_Dataflow_V2 - Build # 1982 - Aborted:

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