See 
<https://ci-beam.apache.org/job/beam_LoadTests_Python_GBK_reiterate_Dataflow_Batch/972/display/redirect?page=changes>

Changes:

[Carl Yeksigian] Cache bucket matcher regex in GcsPath

[benjamin.gonzalez] [BEAM-12672] Retry flaky tests

[benjamin.gonzalez] [BEAM-12672] Fix spotlessApply

[laraschmidt] Fixing the log line to properly handle a large allowed skew.

[n] BEAM-13159 Update embedded-redis dependency

[n] address comments

[noreply] Minor: Add 2.38.0 section to CHANGES.md (#16804)

[noreply] [BEAM-12000] Fix typo in portable Python job definition (#16812)

[noreply] [BEAM-12164]: Fixes SpannerChangeStreamIT (#16806)

[noreply] [BEAM-12572] Fix failures in python examples tests (#16781)

[noreply] [BEAM-13921] filter out debeziumIO test for spark runner (#16815)

[noreply] [BEAM-13855] Skip SpannerChangeStreamOrderedWithinKeyIT and

[noreply] [BEAM-13679] playground - move quick start category to the top 
(#16808)

[noreply] Update license_script.sh (#16789)

[noreply] [BEAM-13908] [Coverage] Better testing coverage for gcpopts (#16816)

[noreply] Merge pull request #16809 from [BEAM-12164] Added integration test for

[noreply] [BEAM-4032]Support staging binary distributions of dependency packages


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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.
WARNING:root:Make sure that locally built Python SDK docker image has Python 
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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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environment
INFO:apache_beam.runners.portability.fn_api_runner.translations:====================
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INFO:apache_beam.runners.portability.fn_api_runner.translations:====================
 <function sort_stages at 0x7f9efd449cb0> ====================
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 
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INFO:oauth2client.transport:Attempting refresh to obtain initial access_token
INFO:oauth2client.transport:Attempting refresh to obtain initial access_token
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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 in 0 seconds.
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: 
['--iterations=4', '--fanout=1']
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: 
['--iterations=4', '--fanout=1']
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
 clientRequestId: '20220211182936086498-5296'
 createTime: '2022-02-11T18:29:37.142283Z'
 currentStateTime: '1970-01-01T00:00:00Z'
 id: '2022-02-11_10_29_36-11365041195619814350'
 location: 'us-central1'
 name: 'load-tests-python-dataflow-batch-gbk-7-0211102313'
 projectId: 'apache-beam-testing'
 stageStates: []
 startTime: '2022-02-11T18:29:37.142283Z'
 steps: []
 tempFiles: []
 type: TypeValueValuesEnum(JOB_TYPE_BATCH, 1)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: 
[2022-02-11_10_29_36-11365041195619814350]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 
2022-02-11_10_29_36-11365041195619814350
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow 
monitoring console, please navigate to 
https://console.cloud.google.com/dataflow/jobs/us-central1/2022-02-11_10_29_36-11365041195619814350?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 
2022-02-11_10_29_36-11365041195619814350 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-11T18:29:40.992Z: 
JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-a.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-11T18:29:41.546Z: 
JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-11T18:29:41.594Z: 
JOB_MESSAGE_DEBUG: Combiner lifting skipped for step GroupByKey 0: GroupByKey 
not followed by a combiner.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-11T18:29:41.624Z: 
JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-11T18:29:41.659Z: 
JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into 
MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-11T18:29:41.720Z: 
JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-11T18:29:41.757Z: 
JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-11T18:29:41.777Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Measure time: Start into Read
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-11T18:29:41.801Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Assign timestamps into Measure time: Start
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-11T18:29:41.833Z: 
JOB_MESSAGE_DETAILED: Fusing consumer GroupByKey 0/Reify into Assign timestamps
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-11T18:29:41.866Z: 
JOB_MESSAGE_DETAILED: Fusing consumer GroupByKey 0/Write into GroupByKey 0/Reify
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-11T18:29:41.891Z: 
JOB_MESSAGE_DETAILED: Fusing consumer GroupByKey 0/GroupByWindow into 
GroupByKey 0/Read
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-11T18:29:41.925Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Ungroup 0 into GroupByKey 0/GroupByWindow
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-11T18:29:41.951Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Measure latency 0 into Ungroup 0
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-11T18:29:41.984Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Measure time: End 0 into Measure latency 0
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-11T18:29:42.027Z: 
JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-11T18:29:42.052Z: 
JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-11T18:29:42.088Z: 
JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-11T18:29:42.117Z: 
JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 
2022-02-11_10_29_36-11365041195619814350 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-11T18:29:42.246Z: 
JOB_MESSAGE_DEBUG: Executing wait step start13
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-11T18:29:42.310Z: 
JOB_MESSAGE_BASIC: Executing operation GroupByKey 0/Create
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-11T18:29:42.345Z: 
JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-11T18:29:42.376Z: 
JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-a...
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-11T18:29:42.815Z: 
JOB_MESSAGE_BASIC: Finished operation GroupByKey 0/Create
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-11T18:29:42.874Z: 
JOB_MESSAGE_DEBUG: Value "GroupByKey 0/Session" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-11T18:29:42.939Z: 
JOB_MESSAGE_BASIC: Executing operation Read+Measure time: Start+Assign 
timestamps+GroupByKey 0/Reify+GroupByKey 0/Write
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-11T18:29:58.046Z: 
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:2022-02-11T18:30:22.030Z: 
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:2022-02-11T18:30:45.336Z: 
JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-11T18:30:45.378Z: 
JOB_MESSAGE_DETAILED: Workers have started successfully.
Terminated

The message received from the daemon indicates that the daemon has disappeared.
Build request sent: Build{id=b8559fd7-5d91-4405-9de0-08bfd9cb47db, 
currentDir=<https://ci-beam.apache.org/job/beam_LoadTests_Python_GBK_reiterate_Dataflow_Batch/ws/src}>
Attempting to read last messages from the daemon log...
Daemon pid: 2008953
  log file: /home/jenkins/.gradle/daemon/7.3.2/daemon-2008953.out.log
----- Last  20 lines from daemon log file - daemon-2008953.out.log -----
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-11T18:29:41.951Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Measure latency 0 into Ungroup 0
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-11T18:29:41.984Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Measure time: End 0 into Measure latency 0
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-11T18:29:42.027Z: 
JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-11T18:29:42.052Z: 
JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-11T18:29:42.088Z: 
JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-11T18:29:42.117Z: 
JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 
2022-02-11_10_29_36-11365041195619814350 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-11T18:29:42.246Z: 
JOB_MESSAGE_DEBUG: Executing wait step start13
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-11T18:29:42.310Z: 
JOB_MESSAGE_BASIC: Executing operation GroupByKey 0/Create
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-11T18:29:42.345Z: 
JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-11T18:29:42.376Z: 
JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-a...
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-11T18:29:42.815Z: 
JOB_MESSAGE_BASIC: Finished operation GroupByKey 0/Create
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-11T18:29:42.874Z: 
JOB_MESSAGE_DEBUG: Value "GroupByKey 0/Session" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-11T18:29:42.939Z: 
JOB_MESSAGE_BASIC: Executing operation Read+Measure time: Start+Assign 
timestamps+GroupByKey 0/Reify+GroupByKey 0/Write
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-11T18:29:58.046Z: 
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:2022-02-11T18:30:22.030Z: 
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:2022-02-11T18:30:45.336Z: 
JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-11T18:30:45.378Z: 
JOB_MESSAGE_DETAILED: Workers have started successfully.
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.
> 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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