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Posted to builds@beam.apache.org by Apache Jenkins Server <je...@builds.apache.org> on 2020/11/02 13:08:56 UTC
Build failed in Jenkins: beam_PostCommit_Py_VR_Dataflow_V2 #1240
See <https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/1240/display/redirect>
Changes:
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[...truncated 5.97 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:Submitted job: 2020-11-02_05_00_45-14835624242052954855
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INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-02T13:00:50.998Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-02T13:00:51.076Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
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INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-02T13:00:51.233Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write steps
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-02T13:00:51.337Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-02T13:00:51.440Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-02T13:00:51.508Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-02T13:00:51.545Z: JOB_MESSAGE_DETAILED: Unzipping flatten s17 for input s15.None
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-02T13:00:51.576Z: 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:2020-11-02T13:00:51.623Z: JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/GroupByKey/WriteStream into assert_that/Group/pair_with_1
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-02T13:00:51.679Z: JOB_MESSAGE_DETAILED: Fusing consumer Create/FlatMap(<lambda at core.py:2962>) into Create/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-02T13:00:51.705Z: JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Create/FlatMap(<lambda at core.py:2962>) into assert_that/Create/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-02T13:00:51.737Z: JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Create/Map(decode) into assert_that/Create/FlatMap(<lambda at core.py:2962>)
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-02T13:00:51.772Z: JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/pair_with_0 into assert_that/Create/Map(decode)
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-02T13:00:51.807Z: JOB_MESSAGE_DETAILED: Fusing consumer Create/MaybeReshuffle/Reshuffle/AddRandomKeys into Create/FlatMap(<lambda at core.py:2962>)
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-02T13:00:51.843Z: JOB_MESSAGE_DETAILED: Fusing consumer Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps) into Create/MaybeReshuffle/Reshuffle/AddRandomKeys
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-02T13:00:51.880Z: 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:2020-11-02T13:00:51.913Z: 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:2020-11-02T13:00:51.944Z: 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:2020-11-02T13:00:51.977Z: JOB_MESSAGE_DETAILED: Fusing consumer Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys into Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-02T13:00:52.012Z: JOB_MESSAGE_DETAILED: Fusing consumer Create/Map(decode) into Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-02T13:00:52.045Z: JOB_MESSAGE_DETAILED: Fusing consumer Key param into Create/Map(decode)
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-02T13:00:52.079Z: JOB_MESSAGE_DETAILED: Fusing consumer assert_that/WindowInto(WindowIntoFn) into Key param
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-02T13:00:52.101Z: JOB_MESSAGE_DETAILED: Fusing consumer assert_that/ToVoidKey into assert_that/WindowInto(WindowIntoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-02T13:00:52.135Z: JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/pair_with_1 into assert_that/ToVoidKey
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-02T13:00:52.157Z: JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/GroupByKey/MergeBuckets into assert_that/Group/GroupByKey/ReadStream
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-02T13:00:52.228Z: 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:2020-11-02T13:00:52.260Z: 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:2020-11-02T13:00:52.294Z: JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Match into assert_that/Unkey
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-02T13:00:52.340Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-02T13:00:52.386Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-02T13:00:52.423Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-02T13:00:52.457Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-02T13:00:53.607Z: JOB_MESSAGE_DEBUG: Starting worker pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-02T13:00:53.654Z: JOB_MESSAGE_BASIC: Starting 1 workers in us-central1-f...
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-02T13:00:53.701Z: JOB_MESSAGE_DEBUG: Starting worker pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-02T13:01:02.048Z: 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:2020-11-02T13:01:02.089Z: JOB_MESSAGE_BASIC: Worker pool stopped.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-02T13:01:02.123Z: JOB_MESSAGE_DEBUG: Tearing down pending resources...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2020-11-02_04_51_26-6069173257532071088 is in state JOB_STATE_DONE
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-02T13:01:13.908Z: 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:2020-11-02T13:01:22.069Z: 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:2020-11-02T13:02:04.913Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-02T13:02:04.947Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-02T13:07:57.835Z: JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-02T13:07:57.890Z: JOB_MESSAGE_DEBUG: Starting worker pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-02T13:07:57.921Z: JOB_MESSAGE_BASIC: Stopping worker pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-02T13:07:57.965Z: JOB_MESSAGE_DEBUG: Starting worker pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-02T13:07:57.996Z: JOB_MESSAGE_BASIC: Stopping worker pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-02T13:08:42.303Z: 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:2020-11-02T13:08:42.356Z: JOB_MESSAGE_BASIC: Worker pool stopped.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-11-02T13:08:42.386Z: JOB_MESSAGE_DEBUG: Tearing down pending resources...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2020-11-02_05_00_45-14835624242052954855 is in state JOB_STATE_DONE
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_impulse (apache_beam.transforms.ptransform_test.PTransformTest) ... ok
test_user_counter_using_pardo (apache_beam.metrics.metric_test.MetricsTest) ... ok
test_flatten_one_single_pcollection (apache_beam.transforms.ptransform_test.PTransformTest) ... ok
test_flatten_multiple_pcollections_having_multiple_consumers (apache_beam.transforms.ptransform_test.PTransformTest) ... ok
test_flatten_a_flattened_pcollection (apache_beam.transforms.ptransform_test.PTransformTest) ... ok
test_flatten_pcollections (apache_beam.transforms.ptransform_test.PTransformTest) ... ok
test_multiple_empty_outputs (apache_beam.transforms.ptransform_test.PTransformTest) ... ok
test_as_list_and_as_dict_side_inputs (apache_beam.transforms.sideinputs_test.SideInputsTest) ... ok
test_par_do_with_multiple_outputs_and_using_yield (apache_beam.transforms.ptransform_test.PTransformTest) ... ok
test_as_singleton_with_different_defaults (apache_beam.transforms.sideinputs_test.SideInputsTest) ... ok
test_par_do_with_multiple_outputs_and_using_return (apache_beam.transforms.ptransform_test.PTransformTest) ... ok
test_undeclared_outputs (apache_beam.transforms.ptransform_test.PTransformTest) ... ok
test_as_list_twice (apache_beam.transforms.sideinputs_test.SideInputsTest) ... ok
test_as_dict_twice (apache_beam.transforms.sideinputs_test.SideInputsTest) ... ok
test_as_singleton_without_unique_labels (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_iterable_side_input (apache_beam.transforms.sideinputs_test.SideInputsTest) ... ok
test_reshuffle_preserves_timestamps (apache_beam.transforms.util_test.ReshuffleTest) ... ok
test_flattened_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 27 tests in 2090.438s
OK
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/6.6.1/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 1h 8m 28s
65 actionable tasks: 43 executed, 22 from cache
Publishing build scan...
https://gradle.com/s/dy37o4tziqxnm
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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