See 
<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Dataflow_Batch/1164/display/redirect?page=changes>

Changes:

[toran.sahu] fix typo - s/befrehand/beforehand

[noreply] Grant actions using GITHUB_TOKEN the appropriate permission set 
(#23521)

[noreply] Fix failing Py37 BQ file loads test (#23334)

[noreply] [Website] update links to https (#23523)

[noreply] Support custom avro DatumReader when reading from BigQuery (#22718)

[noreply] Rename 'clean' Gradle task that required Flutter and has been breaking

[noreply] Model handler unit test (#23506)

[noreply] Content/multi model pipelines (#23498)

[noreply] [Tour of Beam][Frontend] Content Tree and SDK models (#23316) (#23417)

[noreply] Fix bug where `astype(CategoricalDtype)` is rejected (#23513)

[noreply] Bump actions/stale from 5 to 6 (#23331)


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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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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:root:Python SDK container image set to 
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INFO:apache_beam.runners.portability.fn_api_runner.translations:====================
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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.
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: '20221007141758957379-9274'
 createTime: '2022-10-07T14:18:00.188220Z'
 currentStateTime: '1970-01-01T00:00:00Z'
 id: '2022-10-07_07_17_59-17049717987636434148'
 location: 'us-central1'
 name: 'load-tests-python-dataflow-batch-pardo-3-1007125526'
 projectId: 'apache-beam-testing'
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 steps: []
 tempFiles: []
 type: TypeValueValuesEnum(JOB_TYPE_BATCH, 1)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: 
[2022-10-07_07_17_59-17049717987636434148]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 
2022-10-07_07_17_59-17049717987636434148
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow 
monitoring console, please navigate to 
https://console.cloud.google.com/dataflow/jobs/us-central1/2022-10-07_07_17_59-17049717987636434148?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 
2022-10-07_07_17_59-17049717987636434148 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-07T14:17:59.797Z: 
JOB_MESSAGE_BASIC: Dataflow Runner V2 auto-enabled. Use 
--experiments=disable_runner_v2 to opt out.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-07T14:18:02.893Z: 
JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-a.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-07T14:18:03.925Z: 
JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable 
parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-07T14:18:03.967Z: 
JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into 
optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-07T14:18:04.052Z: 
JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-07T14:18:04.092Z: 
JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-07T14:18:04.126Z: 
JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-07T14:18:04.162Z: 
JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-07T14:18:04.197Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Read synthetic/Map(<lambda at 
iobase.py:908>) into Read synthetic/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-07T14:18:04.231Z: 
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:2022-10-07T14:18:04.262Z: 
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:2022-10-07T14:18:04.293Z: 
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:2022-10-07T14:18:04.318Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Step: 0 into Measure time: Start
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-07T14:18:04.347Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Measure time: End into Step: 0
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-07T14:18:04.384Z: 
JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-07T14:18:04.421Z: 
JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-07T14:18:04.454Z: 
JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-07T14:18:04.487Z: 
JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-07T14:18:04.620Z: 
JOB_MESSAGE_DEBUG: Executing wait step start10
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-07T14:18:04.694Z: 
JOB_MESSAGE_BASIC: Executing operation Read synthetic/Impulse+Read 
synthetic/Map(<lambda at 
iobase.py:908>)+ref_AppliedPTransform_Read-synthetic-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction+ref_AppliedPTransform_Read-synthetic-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/SplitWithSizing
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-07T14:18:04.734Z: 
JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-07T14:18:04.770Z: 
JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-a...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 
2022-10-07_07_17_59-17049717987636434148 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-07T14:18:23.143Z: 
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:2022-10-07T14:18:45.693Z: 
JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 based on the 
rate of progress in the currently running stage(s).
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-07T14:19:14.063Z: 
JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-07T14:26:19.220Z: 
JOB_MESSAGE_BASIC: Finished operation Read synthetic/Impulse+Read 
synthetic/Map(<lambda at 
iobase.py:908>)+ref_AppliedPTransform_Read-synthetic-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction+ref_AppliedPTransform_Read-synthetic-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/SplitWithSizing
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-07T14:26:19.310Z: 
JOB_MESSAGE_DEBUG: Value 
"ref_AppliedPTransform_Read-synthetic-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6-split-with-sizing-out3"
 materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-07T14:26:19.357Z: 
JOB_MESSAGE_BASIC: Executing operation 
ref_AppliedPTransform_Read-synthetic-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/ProcessElementAndRestrictionWithSizing+Measure
 time: Start+Step: 0+Measure time: End
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-07T14:29:00.829Z: 
JOB_MESSAGE_BASIC: Finished operation 
ref_AppliedPTransform_Read-synthetic-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/ProcessElementAndRestrictionWithSizing+Measure
 time: Start+Step: 0+Measure time: End
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-07T14:29:00.886Z: 
JOB_MESSAGE_DEBUG: Executing success step success8
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-07T14:29:00.964Z: 
JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-07T14:29:01.015Z: 
JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-07T14:29:01.054Z: 
JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-07T14:31:17.445Z: 
JOB_MESSAGE_DETAILED: Autoscaling: Resized **** pool from 5 to 0.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-07T14:31:17.487Z: 
JOB_MESSAGE_BASIC: Worker pool stopped.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-07T14:31:17.508Z: 
JOB_MESSAGE_DEBUG: Tearing down pending resources...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 
2022-10-07_07_17_59-17049717987636434148 is in state JOB_STATE_DONE
INFO:apache_beam.testing.load_tests.load_test_metrics_utils:Load test results 
for test: 5994b409629e4d2d8e940ad567738bec and timestamp: 1665153090.9605076:
INFO:apache_beam.testing.load_tests.load_test_metrics_utils:Metric: 
python_dataflow_batch_pardo_3_runtime Value: 156

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 SUCCESSFUL in 15m 12s
15 actionable tasks: 4 executed, 11 up-to-date

Publishing build scan...
https://gradle.com/s/fdzherznuz4q6


FAILURE: Build failed with an exception.

* What went wrong:
Timeout waiting to lock daemon addresses registry. It is currently in use by 
another Gradle instance.
Owner PID: unknown
Our PID: 1035045
Owner Operation: unknown
Our operation: 
Lock file: /home/jenkins/.gradle/daemon/7.5.1/registry.bin.lock

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

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