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Posted to builds@beam.apache.org by Apache Jenkins Server <je...@builds.apache.org> on 2020/09/28 19:12:58 UTC
Build failed in Jenkins: beam_PostCommit_Py_VR_Dataflow_V2 #1102
See <https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/1102/display/redirect?page=changes>
Changes:
[noreply] Update test_get_python_sdk_name to supported python version (#12950)
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[...truncated 5.78 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: 2020-09-28_12_04_41-15556326681895889417
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INFO:apache_beam.runners.dataflow.dataflow_runner:2020-09-28T19:04:46.875Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-09-28T19:04:46.935Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
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INFO:apache_beam.runners.dataflow.dataflow_runner:2020-09-28T19:04:47.029Z: JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-09-28T19:04:47.060Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write steps
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-09-28T19:04:47.156Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-09-28T19:04:47.262Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-09-28T19:04:47.303Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
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INFO:apache_beam.runners.dataflow.dataflow_runner:2020-09-28T19:04:47.388Z: 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
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INFO:apache_beam.runners.dataflow.dataflow_runner:2020-09-28T19:04:47.455Z: 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:2020-09-28T19:04:47.487Z: 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:2020-09-28T19:04:47.521Z: JOB_MESSAGE_DETAILED: Fusing consumer Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys into Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-09-28T19:04:47.557Z: JOB_MESSAGE_DETAILED: Fusing consumer Create/Map(decode) into Create/MaybeReshuffle/Reshuffle/RemoveRandomKeys
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-09-28T19:04:47.590Z: JOB_MESSAGE_DETAILED: Fusing consumer Key param into Create/Map(decode)
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-09-28T19:04:47.653Z: JOB_MESSAGE_DETAILED: Fusing consumer assert_that/WindowInto(WindowIntoFn) into Key param
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-09-28T19:04:47.687Z: JOB_MESSAGE_DETAILED: Fusing consumer assert_that/ToVoidKey into assert_that/WindowInto(WindowIntoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-09-28T19:04:47.722Z: JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/pair_with_1 into assert_that/ToVoidKey
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-09-28T19:04:47.759Z: JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/GroupByKey/MergeBuckets into assert_that/Group/GroupByKey/ReadStream
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-09-28T19:04:47.791Z: 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:2020-09-28T19:04:47.827Z: 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:2020-09-28T19:04:47.854Z: JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Match into assert_that/Unkey
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-09-28T19:04:47.892Z: JOB_MESSAGE_DETAILED: Fusing consumer Create/FlatMap(<lambda at core.py:2945>) into Create/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-09-28T19:04:47.916Z: JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Create/FlatMap(<lambda at core.py:2945>) into assert_that/Create/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-09-28T19:04:47.945Z: JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Create/Map(decode) into assert_that/Create/FlatMap(<lambda at core.py:2945>)
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-09-28T19:04:47.977Z: JOB_MESSAGE_DETAILED: Fusing consumer assert_that/Group/pair_with_0 into assert_that/Create/Map(decode)
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-09-28T19:04:47.998Z: JOB_MESSAGE_DETAILED: Fusing consumer Create/MaybeReshuffle/Reshuffle/AddRandomKeys into Create/FlatMap(<lambda at core.py:2945>)
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-09-28T19:04:48.027Z: JOB_MESSAGE_DETAILED: Fusing consumer Create/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps) into Create/MaybeReshuffle/Reshuffle/AddRandomKeys
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-09-28T19:04:48.063Z: 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:2020-09-28T19:04:48.105Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-09-28T19:04:48.143Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-09-28T19:04:48.179Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-09-28T19:04:48.212Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-09-28T19:04:49.376Z: JOB_MESSAGE_DEBUG: Starting worker pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-09-28T19:04:49.402Z: JOB_MESSAGE_BASIC: Starting 1 workers in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-09-28T19:04:49.450Z: JOB_MESSAGE_DEBUG: Starting worker pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-09-28T19:04:58.785Z: 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:2020-09-28T19:04:58.837Z: JOB_MESSAGE_BASIC: Worker pool stopped.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-09-28T19:04:58.879Z: JOB_MESSAGE_DEBUG: Tearing down pending resources...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2020-09-28_11_55_57-5343105330754078583 is in state JOB_STATE_DONE
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-09-28T19:05:00.062Z: 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:2020-09-28T19:05:16.415Z: 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:2020-09-28T19:06:02.044Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-09-28T19:06:02.084Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-09-28T19:11:52.011Z: JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-09-28T19:11:52.084Z: JOB_MESSAGE_DEBUG: Starting worker pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-09-28T19:11:52.129Z: JOB_MESSAGE_BASIC: Stopping worker pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-09-28T19:11:52.164Z: JOB_MESSAGE_DEBUG: Starting worker pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-09-28T19:11:52.198Z: JOB_MESSAGE_BASIC: Stopping worker pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-09-28T19:12:44.904Z: 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:2020-09-28T19:12:44.947Z: JOB_MESSAGE_BASIC: Worker pool stopped.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-09-28T19:12:44.974Z: JOB_MESSAGE_DEBUG: Tearing down pending resources...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2020-09-28_12_04_41-15556326681895889417 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_flatten_one_single_pcollection (apache_beam.transforms.ptransform_test.PTransformTest) ... ok
test_impulse (apache_beam.transforms.ptransform_test.PTransformTest) ... ok
test_flatten_pcollections (apache_beam.transforms.ptransform_test.PTransformTest) ... 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_user_counter_using_pardo (apache_beam.metrics.metric_test.MetricsTest) ... ok
test_multiple_empty_outputs (apache_beam.transforms.ptransform_test.PTransformTest) ... ok
test_as_dict_twice (apache_beam.transforms.sideinputs_test.SideInputsTest) ... 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_as_list_and_as_dict_side_inputs (apache_beam.transforms.sideinputs_test.SideInputsTest) ... ok
test_undeclared_outputs (apache_beam.transforms.ptransform_test.PTransformTest) ... 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_flattened_side_input (apache_beam.transforms.sideinputs_test.SideInputsTest) ... ok
test_empty_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_default_value_singleton_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 2031.296s
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 12m 30s
65 actionable tasks: 38 executed, 27 from cache
Publishing build scan...
https://gradle.com/s/p4fsipkrpg3i6
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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