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Posted to builds@beam.apache.org by Apache Jenkins Server <je...@builds.apache.org> on 2022/11/19 11:40:27 UTC

Build failed in Jenkins: beam_LoadTests_Python_SideInput_Dataflow_Batch #771

See <https://ci-beam.apache.org/job/beam_LoadTests_Python_SideInput_Dataflow_Batch/771/display/redirect?page=changes>

Changes:

[Kenneth Knowles] Remove overly broad CanIgnoreReturnValue

[Kenneth Knowles] Add @RunWith annotation to pubsublite test

[noreply] Move dashboard links to dedicated section

[noreply] [Spark dataset runner] Cache datasets if used multiple times  (#24009)

[noreply] Remove section from troubleshooting about fixed dictionary issue

[noreply] Fix flink XVR tests (#24228)

[noreply] Adding the list of example notebooks to the ML readme file. (#24255)

[noreply] Updating timezone for Beam 2.43.0 release (#24258)

[Kenneth Knowles] Only skip checkerframework if explicitly requested

[noreply] Issue#21430 Updated dataframe io to avoid pruning

[noreply] SingleStoreIO (#23535)

[chamikaramj] Update Java Multi-lang quickstart after the Beam 2.43.0 release


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> Task :sdks:python:apache_beam:testing:load_tests:run
INFO:root:10000 out of 1000000 total elements in each window will be accessed.
INFO:apache_beam.runners.portability.stager:Copying Beam SDK "<https://ci-beam.apache.org/job/beam_LoadTests_Python_SideInput_Dataflow_Batch/ws/src/sdks/python/build/apache-beam.tar.gz"> to staging location.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.44.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/python37:beam-master-20221021
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/python37:beam-master-20221021" for Docker environment
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function pack_combiners at 0x7fb0c39c7e60> ====================
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function sort_stages at 0x7fb0c39c9680> ====================
INFO:apache_beam.runners.dataflow.internal.apiclient:Defaulting to the temp_location as staging_location: gs://temp-storage-for-perf-tests/loadtests
INFO:apache_beam.internal.gcp.auth:Setting socket default timeout to 60 seconds.
INFO:apache_beam.internal.gcp.auth:socket default timeout is 60.0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/loadtests/load-tests-python-dataflow-batch-sideinput-1-1119100327.1668857380.380411/dataflow_python_sdk.tar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/loadtests/load-tests-python-dataflow-batch-sideinput-1-1119100327.1668857380.380411/dataflow_python_sdk.tar in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/loadtests/load-tests-python-dataflow-batch-sideinput-1-1119100327.1668857380.380411/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/loadtests/load-tests-python-dataflow-batch-sideinput-1-1119100327.1668857380.380411/pipeline.pb in 0 seconds.
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: [2022-11-19_03_29_40-10907533992892138221]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2022-11-19_03_29_40-10907533992892138221
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2022-11-19_03_29_40-10907533992892138221?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-11-19_03_29_40-10907533992892138221 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-19T11:29:41.097Z: JOB_MESSAGE_BASIC: Dataflow Runner V2 auto-enabled. Use --experiments=disable_runner_v2 to opt out.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-19T11:29:44.258Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-19T11:29:45.586Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-19T11:29:45.617Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-19T11:29:45.682Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-19T11:29:45.719Z: JOB_MESSAGE_DEBUG: Combiner lifting skipped for step Side input: create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey: GroupByKey not followed by a combiner.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-19T11:29:45.750Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-19T11:29:45.782Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-19T11:29:45.825Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-19T11:29:45.859Z: JOB_MESSAGE_DETAILED: Fusing consumer Side input: create/FlatMap(<lambda at core.py:3507>) into Side input: create/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-19T11:29:45.884Z: JOB_MESSAGE_DETAILED: Fusing consumer Side input: create/MaybeReshuffle/Reshuffle/AddRandomKeys into Side input: create/FlatMap(<lambda at core.py:3507>)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-19T11:29:45.906Z: JOB_MESSAGE_DETAILED: Fusing consumer Side input: create/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps) into Side input: create/MaybeReshuffle/Reshuffle/AddRandomKeys
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-19T11:29:45.937Z: JOB_MESSAGE_DETAILED: Fusing consumer Side input: create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Reify into Side input: create/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-19T11:29:45.967Z: JOB_MESSAGE_DETAILED: Fusing consumer Side input: create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Write into Side input: create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Reify
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-19T11:29:45.991Z: JOB_MESSAGE_DETAILED: Fusing consumer Side input: create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/GroupByWindow into Side input: create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Read
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-19T11:29:46.023Z: JOB_MESSAGE_DETAILED: Fusing consumer Side input: create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps) into Side input: create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/GroupByWindow
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-19T11:29:46.055Z: JOB_MESSAGE_DETAILED: Fusing consumer Side input: create/MaybeReshuffle/Reshuffle/RemoveRandomKeys into Side input: create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-19T11:29:46.147Z: JOB_MESSAGE_DETAILED: Fusing consumer Side input: create/Map(decode) into Side input: create/MaybeReshuffle/Reshuffle/RemoveRandomKeys
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-19T11:29:46.176Z: JOB_MESSAGE_DETAILED: Fusing consumer Get synthetic SDF options into Side input: create/Map(decode)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-19T11:29:46.205Z: JOB_MESSAGE_DETAILED: Fusing consumer ref_AppliedPTransform_Generate-input_20/PairWithRestriction into Get synthetic SDF options
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-19T11:29:46.235Z: JOB_MESSAGE_DETAILED: Fusing consumer ref_AppliedPTransform_Generate-input_20/SplitWithSizing into ref_AppliedPTransform_Generate-input_20/PairWithRestriction
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-19T11:29:46.272Z: JOB_MESSAGE_DETAILED: Fusing consumer Create/FlatMap(<lambda at core.py:3507>) into Create/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-19T11:29:46.296Z: JOB_MESSAGE_DETAILED: Fusing consumer Create/Map(decode) into Create/FlatMap(<lambda at core.py:3507>)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-19T11:29:46.324Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect start time metrics into Create/Map(decode)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-19T11:29:46.361Z: JOB_MESSAGE_DETAILED: Fusing consumer ParDo(MappingSideInputTestDoFn) into Collect start time metrics
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-19T11:29:46.397Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect end time metrics into ParDo(MappingSideInputTestDoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-19T11:29:46.438Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-19T11:29:46.455Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-19T11:29:46.487Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-19T11:29:46.511Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-19T11:29:46.668Z: JOB_MESSAGE_DEBUG: Executing wait step start21
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-19T11:29:46.737Z: JOB_MESSAGE_BASIC: Executing operation Side input: create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Create
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-19T11:29:46.791Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-11-19_03_29_40-10907533992892138221 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-19T11:29:46.827Z: JOB_MESSAGE_BASIC: Starting 10 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-19T11:29:47.324Z: JOB_MESSAGE_BASIC: Finished operation Side input: create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Create
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-19T11:29:47.393Z: JOB_MESSAGE_DEBUG: Value "Side input: create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Session" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-19T11:29:47.454Z: JOB_MESSAGE_BASIC: Executing operation Side input: create/Impulse+Side input: create/FlatMap(<lambda at core.py:3507>)+Side input: create/MaybeReshuffle/Reshuffle/AddRandomKeys+Side input: create/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps)+Side input: create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Reify+Side input: create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Write
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-19T11:29:53.625Z: 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:2022-11-19T11:30:30.273Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 10 based on the rate of progress in the currently running stage(s).
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-19T11:30:58.875Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-19T11:38:07.842Z: JOB_MESSAGE_DETAILED: All ****s have finished the startup processes and began to receive work requests.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-19T11:38:09.053Z: JOB_MESSAGE_BASIC: Finished operation Side input: create/Impulse+Side input: create/FlatMap(<lambda at core.py:3507>)+Side input: create/MaybeReshuffle/Reshuffle/AddRandomKeys+Side input: create/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps)+Side input: create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Reify+Side input: create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Write
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-19T11:38:09.115Z: JOB_MESSAGE_BASIC: Executing operation Side input: create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Close
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-19T11:38:09.180Z: JOB_MESSAGE_BASIC: Finished operation Side input: create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Close
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-19T11:38:09.235Z: JOB_MESSAGE_BASIC: Executing operation Side input: create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Read+Side input: create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/GroupByWindow+Side input: create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)+Side input: create/MaybeReshuffle/Reshuffle/RemoveRandomKeys+Side input: create/Map(decode)+Get synthetic SDF options+ref_AppliedPTransform_Generate-input_20/PairWithRestriction+ref_AppliedPTransform_Generate-input_20/SplitWithSizing
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-19T11:38:26.494Z: JOB_MESSAGE_BASIC: Finished operation Side input: create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Read+Side input: create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/GroupByWindow+Side input: create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)+Side input: create/MaybeReshuffle/Reshuffle/RemoveRandomKeys+Side input: create/Map(decode)+Get synthetic SDF options+ref_AppliedPTransform_Generate-input_20/PairWithRestriction+ref_AppliedPTransform_Generate-input_20/SplitWithSizing
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-19T11:38:26.578Z: JOB_MESSAGE_DEBUG: Value "ref_AppliedPTransform_Generate-input_20-split-with-sizing-out3" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-19T11:38:26.653Z: JOB_MESSAGE_BASIC: Executing operation ref_AppliedPTransform_Generate-input_20/ProcessElementAndRestrictionWithSizing
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-19T11:38:49.229Z: JOB_MESSAGE_BASIC: Finished operation ref_AppliedPTransform_Generate-input_20/ProcessElementAndRestrictionWithSizing
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-19T11:38:49.307Z: JOB_MESSAGE_DEBUG: Value "Generate input.None" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-19T11:38:49.377Z: JOB_MESSAGE_BASIC: Executing operation ParDo(MappingSideInputTestDoFn)/View-python_side_input0-ParDo(MappingSideInputTestDoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-19T11:38:49.439Z: JOB_MESSAGE_BASIC: Finished operation ParDo(MappingSideInputTestDoFn)/View-python_side_input0-ParDo(MappingSideInputTestDoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-19T11:38:49.516Z: JOB_MESSAGE_DEBUG: Value "ParDo(MappingSideInputTestDoFn)/View-python_side_input0-ParDo(MappingSideInputTestDoFn).out" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-19T11:38:49.586Z: JOB_MESSAGE_BASIC: Executing operation Create/Impulse+Create/FlatMap(<lambda at core.py:3507>)+Create/Map(decode)+Collect start time metrics+ParDo(MappingSideInputTestDoFn)+Collect end time metrics
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-19T11:38:53.620Z: JOB_MESSAGE_BASIC: Finished operation Create/Impulse+Create/FlatMap(<lambda at core.py:3507>)+Create/Map(decode)+Collect start time metrics+ParDo(MappingSideInputTestDoFn)+Collect end time metrics
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-19T11:38:53.705Z: JOB_MESSAGE_DEBUG: Executing success step success19
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-19T11:38:53.782Z: JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-19T11:38:53.867Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-19T11:38:53.887Z: JOB_MESSAGE_BASIC: Stopping **** pool...
Terminated

> Task :sdks:python:apache_beam:testing:load_tests:run FAILED
The message received from the daemon indicates that the daemon has disappeared.
Build request sent: Build{id=cde207db-3c32-4c2c-bb0f-fad9b02f6175, currentDir=<https://ci-beam.apache.org/job/beam_LoadTests_Python_SideInput_Dataflow_Batch/ws/src}>
Attempting to read last messages from the daemon log...
Daemon pid: 3787702
  log file: /home/jenkins/.gradle/daemon/7.5.1/daemon-3787702.out.log
----- Last  20 lines from daemon log file - daemon-3787702.out.log -----
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-19T11:38:09.053Z: JOB_MESSAGE_BASIC: Finished operation Side input: create/Impulse+Side input: create/FlatMap(<lambda at core.py:3507>)+Side input: create/MaybeReshuffle/Reshuffle/AddRandomKeys+Side input: create/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps)+Side input: create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Reify+Side input: create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Write
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-19T11:38:09.115Z: JOB_MESSAGE_BASIC: Executing operation Side input: create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Close
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-19T11:38:09.180Z: JOB_MESSAGE_BASIC: Finished operation Side input: create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Close
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-19T11:38:09.235Z: JOB_MESSAGE_BASIC: Executing operation Side input: create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Read+Side input: create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/GroupByWindow+Side input: create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)+Side input: create/MaybeReshuffle/Reshuffle/RemoveRandomKeys+Side input: create/Map(decode)+Get synthetic SDF options+ref_AppliedPTransform_Generate-input_20/PairWithRestriction+ref_AppliedPTransform_Generate-input_20/SplitWithSizing
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-19T11:38:26.494Z: JOB_MESSAGE_BASIC: Finished operation Side input: create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Read+Side input: create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/GroupByWindow+Side input: create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)+Side input: create/MaybeReshuffle/Reshuffle/RemoveRandomKeys+Side input: create/Map(decode)+Get synthetic SDF options+ref_AppliedPTransform_Generate-input_20/PairWithRestriction+ref_AppliedPTransform_Generate-input_20/SplitWithSizing
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-19T11:38:26.578Z: JOB_MESSAGE_DEBUG: Value "ref_AppliedPTransform_Generate-input_20-split-with-sizing-out3" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-19T11:38:26.653Z: JOB_MESSAGE_BASIC: Executing operation ref_AppliedPTransform_Generate-input_20/ProcessElementAndRestrictionWithSizing
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-19T11:38:49.229Z: JOB_MESSAGE_BASIC: Finished operation ref_AppliedPTransform_Generate-input_20/ProcessElementAndRestrictionWithSizing
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-19T11:38:49.307Z: JOB_MESSAGE_DEBUG: Value "Generate input.None" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-19T11:38:49.377Z: JOB_MESSAGE_BASIC: Executing operation ParDo(MappingSideInputTestDoFn)/View-python_side_input0-ParDo(MappingSideInputTestDoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-19T11:38:49.439Z: JOB_MESSAGE_BASIC: Finished operation ParDo(MappingSideInputTestDoFn)/View-python_side_input0-ParDo(MappingSideInputTestDoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-19T11:38:49.516Z: JOB_MESSAGE_DEBUG: Value "ParDo(MappingSideInputTestDoFn)/View-python_side_input0-ParDo(MappingSideInputTestDoFn).out" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-19T11:38:49.586Z: JOB_MESSAGE_BASIC: Executing operation Create/Impulse+Create/FlatMap(<lambda at core.py:3507>)+Create/Map(decode)+Collect start time metrics+ParDo(MappingSideInputTestDoFn)+Collect end time metrics
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-19T11:38:53.620Z: JOB_MESSAGE_BASIC: Finished operation Create/Impulse+Create/FlatMap(<lambda at core.py:3507>)+Create/Map(decode)+Collect start time metrics+ParDo(MappingSideInputTestDoFn)+Collect end time metrics
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-19T11:38:53.705Z: JOB_MESSAGE_DEBUG: Executing success step success19
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-19T11:38:53.782Z: JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-19T11:38:53.867Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-19T11:38:53.887Z: JOB_MESSAGE_BASIC: Stopping **** pool...
Terminated
Daemon vm is shutting down... The daemon has exited normally or was terminated in response to a user interrupt.
----- End of the daemon log -----


FAILURE: Build failed with an exception.

* What went wrong:
Gradle build daemon disappeared unexpectedly (it may have been killed or may have crashed)

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
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* Get more help at https://help.gradle.org
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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