See
<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/907/display/redirect?page=changes>
Changes:
[noreply] Fix whitespace check (#25514)
[noreply] Add back links removed in #24744 (#25513)
[bvolpato] Fix pull_licenses_java returning 404 from opensource.org
[noreply] [#24789][prism] internal/jobservices metrics + tests (#25497)
[noreply] [Go SDK]: Allow SDF methods to have context param and error return
value
[noreply] Move closing milestone out of PMC-only tasks (#25516)
[noreply] update GCP cloud libraries BOM to 26.8.0 (#25470)
[noreply] Fix interface{} in iter& emit type of DoFn in Go (#25203)
[noreply] Task #25064: Python SDK Data sampling implementation (#25093)
[noreply] Add support for all Java based portable runners to consume elements
[noreply] Swap Java SDK container to use eclipse-temurin as the base instead of
[noreply] Update BigQueryIO documentation with details on how to override the
[noreply] Support Avro GenericRecord as a valid format for StorageWrite API on
[elizaveta.lomteva] complete examples links fixed
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docopt, crcmod, charset-normalizer, zstandard, wrapt, websocket-client,
urllib3, tomli, threadpoolctl, tenacity, sqlparse, scipy, rsa, regex, pyyaml,
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> Task :sdks:python:apache_beam:testing:load_tests:run
INFO:apache_beam.runners.portability.stager:Copying Beam SDK
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to staging location.
INFO:apache_beam.runners.dataflow.dataflow_runner:Pipeline has additional
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INFO:root:Default Python SDK image for environment is
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INFO:root:Using provided Python SDK container image:
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INFO:apache_beam.runners.dataflow.internal.apiclient:Defaulting to the
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INFO:apache_beam.internal.gcp.auth:Setting socket default timeout to 60 seconds.
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INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to
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INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to
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INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to
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INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20230217161018083043-6484'
createTime: '2023-02-17T16:10:19.174953Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2023-02-17_08_10_18-4318114438587344678'
location: 'us-central1'
name: 'load-tests-python-dataflow-streaming-combine-1-0217153132'
projectId: 'apache-beam-testing'
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steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id:
[2023-02-17_08_10_18-4318114438587344678]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job:
2023-02-17_08_10_18-4318114438587344678
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow
monitoring console, please navigate to
https://console.cloud.google.com/dataflow/jobs/us-central1/2023-02-17_08_10_18-4318114438587344678?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job
2023-02-17_08_10_18-4318114438587344678 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-17T16:10:52.583Z:
JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-17T16:10:54.343Z:
JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable
parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-17T16:10:54.378Z:
JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into
optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-17T16:10:54.439Z:
JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-17T16:10:54.490Z:
JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into
optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-17T16:10:54.529Z:
JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write
steps
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-17T16:10:54.593Z:
JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into
MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-17T16:10:54.658Z:
JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-17T16:10:54.689Z:
JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-17T16:10:54.723Z:
JOB_MESSAGE_DETAILED: Fusing consumer Read synthetic/Map(<lambda at
iobase.py:908>) into Read synthetic/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-17T16:10:54.754Z:
JOB_MESSAGE_DETAILED: Fusing consumer
ref_AppliedPTransform_Read-synthetic-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction
into Read synthetic/Map(<lambda at iobase.py:908>)
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-17T16:10:54.786Z:
JOB_MESSAGE_DETAILED: Fusing consumer
ref_AppliedPTransform_Read-synthetic-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/SplitWithSizing
into
ref_AppliedPTransform_Read-synthetic-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-17T16:10:54.819Z:
JOB_MESSAGE_DETAILED: Fusing consumer Measure time: Start into
ref_AppliedPTransform_Read-synthetic-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/ProcessElementAndRestrictionWithSizing
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-17T16:10:54.851Z:
JOB_MESSAGE_DETAILED: Fusing consumer Combine with Top 0/KeyWithVoid into
Measure time: Start
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-17T16:10:54.884Z:
JOB_MESSAGE_DETAILED: Fusing consumer Combine with Top
0/CombinePerKey/Combine/ConvertToAccumulators into Combine with Top
0/KeyWithVoid
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-17T16:10:54.915Z:
JOB_MESSAGE_DETAILED: Fusing consumer Combine with Top
0/CombinePerKey/GroupByKey/WriteStream into Combine with Top
0/CombinePerKey/Combine/ConvertToAccumulators
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-17T16:10:54.948Z:
JOB_MESSAGE_DETAILED: Fusing consumer Combine with Top 0/CombinePerKey/Combine
into Combine with Top 0/CombinePerKey/GroupByKey/ReadStream
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-17T16:10:54.981Z:
JOB_MESSAGE_DETAILED: Fusing consumer Combine with Top
0/CombinePerKey/Combine/Extract into Combine with Top 0/CombinePerKey/Combine
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-17T16:10:55.014Z:
JOB_MESSAGE_DETAILED: Fusing consumer Combine with Top 0/UnKey into Combine
with Top 0/CombinePerKey/Combine/Extract
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-17T16:10:55.047Z:
JOB_MESSAGE_DETAILED: Fusing consumer Consume 0 into Combine with Top 0/UnKey
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-17T16:10:55.075Z:
JOB_MESSAGE_DETAILED: Fusing consumer Measure time: End 0 into Consume 0
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-17T16:10:55.184Z:
JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-17T16:10:55.219Z:
JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-17T16:10:55.240Z:
JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-17T16:10:55.274Z:
JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-17T16:10:55.301Z:
JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-17T16:10:56.385Z:
JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-17T16:10:56.418Z:
JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-17T16:10:56.457Z:
JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:Job
2023-02-17_08_10_18-4318114438587344678 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-17T16:11:17.793Z:
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:2023-02-17T16:11:36.786Z:
JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s 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:2023-02-17T16:11:36.825Z:
JOB_MESSAGE_DETAILED: Autoscaling: Resized **** pool to 1, though goal was 5.
This could be a quota issue.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-17T16:11:46.580Z:
JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the
pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-17T16:12:15.213Z:
JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-17T16:12:25.528Z:
JOB_MESSAGE_DETAILED: All ****s have finished the startup processes and began
to receive work requests.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-17T16:53:54.020Z:
JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the
pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-17T16:55:52.615Z:
JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the
pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-17T16:57:54.072Z:
JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the
pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-17T17:26:05.408Z:
JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the
pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-17T17:26:56.256Z:
JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the
pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-17T17:38:57.322Z:
JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the
pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-17T18:00:58.692Z:
JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the
pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-17T18:07:00.360Z:
JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the
pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-17T18:22:06.394Z:
JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-17T18:22:08.612Z:
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:2023-02-17T18:34:26.693Z:
JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the
pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-17T18:35:27.608Z:
JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the
pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-17T19:10:29.016Z:
JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the
pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-17T19:12:30.140Z:
JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the
pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-17T19:42:41.382Z:
JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the
pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-17T19:49:32.888Z:
JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the
pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-17T20:15:23.545Z:
JOB_MESSAGE_BASIC: Cancel request is committed for workflow job:
2023-02-17_08_10_18-4318114438587344678.
INFO:apache_beam.runners.dataflow.dataflow_runner:Job
2023-02-17_08_10_18-4318114438587344678 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-17T20:15:23.595Z:
JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-17T20:15:23.677Z:
JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-17T20:15:23.699Z:
JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-17T20:15:23.787Z:
JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-17T20:15:23.824Z:
JOB_MESSAGE_BASIC: Stopping **** pool...
Traceback (most recent call last):
File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
"__main__", mod_spec)
File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
exec(code, run_globals)
File
"<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/combine_test.py";,>
line 129, in <module>
CombineTest().run()
File
"<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py";,>
line 152, in run
state = self.result.wait_until_finish(duration=self.timeout_ms)
File
"<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/apache_beam/runners/dataflow/dataflow_runner.py";,>
line 1547, in wait_until_finish
'{}'.format(consoleUrl))
AssertionError: Job did not reach to a terminal state after waiting
indefinitely. Console URL:
https://console.cloud.google.com/dataflow/jobs/<RegionId>/2023-02-17_08_10_18-4318114438587344678?project=<ProjectId>
> Task :sdks:python:apache_beam:testing:load_tests:run FAILED
FAILURE: Build failed with an exception.
* Where:
Build file
'<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'>
line: 63
* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred
* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
* Get more help at https://help.gradle.org
Deprecated Gradle features were used in this build, making it incompatible with
Gradle 8.0.
You can use '--warning-mode all' to show the individual deprecation warnings
and determine if they come from your own scripts or plugins.
See
https://docs.gradle.org/7.5.1/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 4h 8m 6s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date
Publishing build scan...
https://gradle.com/s/sgen6k2pmwen4
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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