See 
<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/793/display/redirect?page=changes>

Changes:

[Kenneth Knowles] Enable checkerframework by default

[noreply] granting ruslan shamunov triage rights (#23806)

[noreply] Bump google.golang.org/api from 0.99.0 to 0.100.0 in /sdks (#23718)

[noreply] Initial DaskRunner for Beam (#22421)

[noreply] [Website] update PULL_REQUEST_TEMPLATE.md (#23576)

[noreply] [Website] change width of the additional case studies cards (#23824)

[chamikaramj] Adds a dependency to Python Multi-language library to the GCP Bom

[noreply] Support keyed executors in Samza Runner to process bundles for 
stateful

[Moritz Mack] Remove obsolete code from Spark 3 runner.

[noreply] Fixing Get Started header link (#23490)

[noreply] Bump cloud.google.com/go/bigquery from 1.42.0 to 1.43.0 in /sdks

[noreply] Bump google.golang.org/api from 0.100.0 to 0.101.0 in /sdks (#23842)

[noreply] Update ReadDataFromKinesis URN to registered URN (fixes #23693) 
(#23849)


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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 
dependencies to be installed in SDK **** container, consider using the SDK 
container image pre-building workflow to avoid repetitive installations. Learn 
more on 
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INFO:root:Default Python SDK image for environment is 
apache/beam_python3.7_sdk:2.44.0.dev
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INFO:root:Python SDK container image set to 
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environment
INFO:apache_beam.runners.dataflow.internal.apiclient:Defaulting to the 
temp_location as staging_location: gs://temp-storage-for-perf-tests/smoketests
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 
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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: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: '20221026150746219463-8070'
 createTime: '2022-10-26T15:07:47.213938Z'
 currentStateTime: '1970-01-01T00:00:00Z'
 id: '2022-10-26_08_07_46-4789559375431634623'
 location: 'us-central1'
 name: 'load-tests-python-dataflow-streaming-combine-1-1026150208'
 projectId: 'apache-beam-testing'
 stageStates: []
 startTime: '2022-10-26T15:07:47.213938Z'
 steps: []
 tempFiles: []
 type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: 
[2022-10-26_08_07_46-4789559375431634623]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 
2022-10-26_08_07_46-4789559375431634623
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow 
monitoring console, please navigate to 
https://console.cloud.google.com/dataflow/jobs/us-central1/2022-10-26_08_07_46-4789559375431634623?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 
2022-10-26_08_07_46-4789559375431634623 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-26T15:07:54.122Z: 
JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-26T15:07:55.806Z: 
JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable 
parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-26T15:07:55.837Z: 
JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into 
optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-26T15:07:55.913Z: 
JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-26T15:07:55.977Z: 
JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into 
optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-26T15:07:56.012Z: 
JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write 
steps
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-26T15:07:56.066Z: 
JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into 
MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-26T15:07:56.121Z: 
JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-26T15:07:56.163Z: 
JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-26T15:07:56.204Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Read synthetic/Map(<lambda at 
iobase.py:908>) into Read synthetic/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-26T15:07:56.237Z: 
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:2022-10-26T15:07:56.266Z: 
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:2022-10-26T15:07:56.299Z: 
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:2022-10-26T15:07:56.326Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Combine with Top 0/KeyWithVoid into 
Measure time: Start
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-26T15:07:56.353Z: 
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:2022-10-26T15:07:56.379Z: 
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:2022-10-26T15:07:56.412Z: 
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:2022-10-26T15:07:56.433Z: 
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:2022-10-26T15:07:56.490Z: 
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:2022-10-26T15:07:56.512Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Consume 0 into Combine with Top 0/UnKey
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-26T15:07:56.545Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Measure time: End 0 into Consume 0
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-26T15:07:56.652Z: 
JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-26T15:07:56.697Z: 
JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-26T15:07:56.733Z: 
JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-26T15:07:56.764Z: 
JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-26T15:07:56.785Z: 
JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-26T15:07:56.867Z: 
JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-26T15:07:56.898Z: 
JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-26T15:07:56.932Z: 
JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 
2022-10-26_08_07_46-4789559375431634623 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-26T15:08:25.339Z: 
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:2022-10-26T15:08:35.253Z: 
JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 3 so that the 
pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-26T15:08:35.280Z: 
JOB_MESSAGE_DETAILED: Autoscaling: Resized **** pool to 3, though goal was 5.  
This could be a quota issue.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-26T15:08:45.759Z: 
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:2022-10-26T15:09:12.371Z: 
JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-26T16:05:50.987Z: 
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:2022-10-26T16:07:53.003Z: 
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:2022-10-26T16:46:55.223Z: 
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:2022-10-26T16:58:05.658Z: 
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:2022-10-26T17:29:56.651Z: 
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:2022-10-26T17:46:59.869Z: 
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:2022-10-26T18:03:03.107Z: 
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:2022-10-26T18:32:04.027Z: 
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:2022-10-26T18:52:04.496Z: 
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:2022-10-26T19:16:06.556Z: 
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:2022-10-26T19:26:59.410Z: 
JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-26T19:27:11.212Z: 
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:2022-10-26T19:40:23.604Z: 
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:2022-10-26T19:53:34.425Z: 
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:Job 
2022-10-26_08_07_46-4789559375431634623 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-26T20:00:52.174Z: 
JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 
2022-10-26_08_07_46-4789559375431634623.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-26T20:00:52.217Z: 
JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-26T20:00:52.272Z: 
JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-26T20:00:52.299Z: 
JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-26T20:00:52.328Z: 
JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-26T20:00:52.353Z: 
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 151, in run
    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 1609, 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>/2022-10-26_08_07_46-4789559375431634623?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: 71

* 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 55m 14s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/utcny5loti3q6

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

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