See 
<https://ci-beam.apache.org/job/beam_LoadTests_Java_CoGBK_Dataflow_V2_Streaming_Java11/448/display/redirect>

Changes:


------------------------------------------
[...truncated 115.07 KB...]
As an alternative, use `gcloud auth configure-docker` to configure `docker` to
use `gcloud` as a credential helper, then use `docker` as you would for non-GCR
registries, e.g. `docker pull gcr.io/project-id/my-image`. Add
`--verbosity=error` to silence this warning: `gcloud docker
--verbosity=error -- pull gcr.io/project-id/my-image`.

See: 
https://cloud.google.com/container-registry/docs/support/deprecation-notices#gcloud-docker

The push refers to repository 
[us.gcr.io/apache-beam-testing/java-postcommit-it/java]
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> Task :sdks:java:testing:load-tests:run
Sep 11, 2022 1:34:49 PM 
org.apache.beam.runners.dataflow.options.DataflowPipelineOptions$StagingLocationFactory
 create
INFO: No stagingLocation provided, falling back to gcpTempLocation
Sep 11, 2022 1:34:50 PM org.apache.beam.runners.dataflow.DataflowRunner 
fromOptions
INFO: PipelineOptions.filesToStage was not specified. Defaulting to files from 
the classpath: will stage 225 files. Enable logging at DEBUG level to see which 
files will be staged.
Sep 11, 2022 1:34:51 PM org.apache.beam.sdk.Pipeline validate
WARNING: The following transforms do not have stable unique names: Window.Into()
Sep 11, 2022 1:34:51 PM org.apache.beam.runners.dataflow.DataflowRunner run
INFO: Executing pipeline on the Dataflow Service, which will have billing 
implications related to Google Compute Engine usage and other Google Cloud 
Services.
Sep 11, 2022 1:34:57 PM org.apache.beam.runners.dataflow.util.PackageUtil 
stageClasspathElements
INFO: Uploading 225 files from PipelineOptions.filesToStage to staging location 
to prepare for execution.
Sep 11, 2022 1:34:58 PM org.apache.beam.runners.dataflow.util.PackageUtil 
stageClasspathElements
INFO: Staging files complete: 225 files cached, 0 files newly uploaded in 1 
seconds
Sep 11, 2022 1:34:58 PM org.apache.beam.runners.dataflow.DataflowRunner run
INFO: Staging portable pipeline proto to 
gs://temp-storage-for-perf-tests/loadtests/staging/
Sep 11, 2022 1:34:59 PM org.apache.beam.runners.dataflow.util.PackageUtil 
tryStagePackage
INFO: Uploading <121399 bytes, hash 
47a4efff9d5aff02d6c79bcbb280d76240fb46bdff74cd4ecc42be7c524fa00c> to 
gs://temp-storage-for-perf-tests/loadtests/staging/pipeline-R6Tv_51a_wLWx5vLsoDXYkD7Rr3_dM1OzEK-fFJPoAw.pb
Sep 11, 2022 1:35:01 PM 
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding Read input/DataflowRunner.StreamingUnboundedRead.ReadWithIds as 
step s1
Sep 11, 2022 1:35:01 PM 
org.apache.beam.sdk.io.synthetic.SyntheticUnboundedSource split
INFO: Split into 20 bundles: [SyntheticUnboundedSource{startOffset=0, 
endOffset=1000000}, SyntheticUnboundedSource{startOffset=1000000, 
endOffset=2000000}, SyntheticUnboundedSource{startOffset=2000000, 
endOffset=3000000}, SyntheticUnboundedSource{startOffset=3000000, 
endOffset=4000000}, SyntheticUnboundedSource{startOffset=4000000, 
endOffset=5000000}, SyntheticUnboundedSource{startOffset=5000000, 
endOffset=6000000}, SyntheticUnboundedSource{startOffset=6000000, 
endOffset=7000000}, SyntheticUnboundedSource{startOffset=7000000, 
endOffset=8000000}, SyntheticUnboundedSource{startOffset=8000000, 
endOffset=9000000}, SyntheticUnboundedSource{startOffset=9000000, 
endOffset=10000000}, SyntheticUnboundedSource{startOffset=10000000, 
endOffset=11000000}, SyntheticUnboundedSource{startOffset=11000000, 
endOffset=12000000}, SyntheticUnboundedSource{startOffset=12000000, 
endOffset=13000000}, SyntheticUnboundedSource{startOffset=13000000, 
endOffset=14000000}, SyntheticUnboundedSource{startOffset=14000000, 
endOffset=15000000}, SyntheticUnboundedSource{startOffset=15000000, 
endOffset=16000000}, SyntheticUnboundedSource{startOffset=16000000, 
endOffset=17000000}, SyntheticUnboundedSource{startOffset=17000000, 
endOffset=18000000}, SyntheticUnboundedSource{startOffset=18000000, 
endOffset=19000000}, SyntheticUnboundedSource{startOffset=19000000, 
endOffset=20000000}]
Sep 11, 2022 1:35:01 PM 
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding Read input/StripIds as step s2
Sep 11, 2022 1:35:01 PM 
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding Collect start time metrics (input) as step s3
Sep 11, 2022 1:35:01 PM 
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding Window.Into()/Window.Assign as step s4
Sep 11, 2022 1:35:01 PM 
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding Read co-input/DataflowRunner.StreamingUnboundedRead.ReadWithIds as 
step s5
Sep 11, 2022 1:35:01 PM 
org.apache.beam.sdk.io.synthetic.SyntheticUnboundedSource split
INFO: Split into 20 bundles: [SyntheticUnboundedSource{startOffset=0, 
endOffset=100000}, SyntheticUnboundedSource{startOffset=100000, 
endOffset=200000}, SyntheticUnboundedSource{startOffset=200000, 
endOffset=300000}, SyntheticUnboundedSource{startOffset=300000, 
endOffset=400000}, SyntheticUnboundedSource{startOffset=400000, 
endOffset=500000}, SyntheticUnboundedSource{startOffset=500000, 
endOffset=600000}, SyntheticUnboundedSource{startOffset=600000, 
endOffset=700000}, SyntheticUnboundedSource{startOffset=700000, 
endOffset=800000}, SyntheticUnboundedSource{startOffset=800000, 
endOffset=900000}, SyntheticUnboundedSource{startOffset=900000, 
endOffset=1000000}, SyntheticUnboundedSource{startOffset=1000000, 
endOffset=1100000}, SyntheticUnboundedSource{startOffset=1100000, 
endOffset=1200000}, SyntheticUnboundedSource{startOffset=1200000, 
endOffset=1300000}, SyntheticUnboundedSource{startOffset=1300000, 
endOffset=1400000}, SyntheticUnboundedSource{startOffset=1400000, 
endOffset=1500000}, SyntheticUnboundedSource{startOffset=1500000, 
endOffset=1600000}, SyntheticUnboundedSource{startOffset=1600000, 
endOffset=1700000}, SyntheticUnboundedSource{startOffset=1700000, 
endOffset=1800000}, SyntheticUnboundedSource{startOffset=1800000, 
endOffset=1900000}, SyntheticUnboundedSource{startOffset=1900000, 
endOffset=2000000}]
Sep 11, 2022 1:35:01 PM 
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding Read co-input/StripIds as step s6
Sep 11, 2022 1:35:01 PM 
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding Collect start time metrics (co-input) as step s7
Sep 11, 2022 1:35:01 PM 
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding Window.Into()2/Window.Assign as step s8
Sep 11, 2022 1:35:01 PM 
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding CoGroupByKey/MakeUnionTable0 as step s9
Sep 11, 2022 1:35:01 PM 
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding CoGroupByKey/MakeUnionTable1 as step s10
Sep 11, 2022 1:35:01 PM 
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding CoGroupByKey/Flatten as step s11
Sep 11, 2022 1:35:01 PM 
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding CoGroupByKey/GBK as step s12
Sep 11, 2022 1:35:01 PM 
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding CoGroupByKey/ConstructCoGbkResultFn as step s13
Sep 11, 2022 1:35:01 PM 
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding Ungroup and reiterate as step s14
Sep 11, 2022 1:35:01 PM 
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding Collect total bytes as step s15
Sep 11, 2022 1:35:01 PM 
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding Collect end time metrics as step s16
Sep 11, 2022 1:35:01 PM org.apache.beam.runners.dataflow.DataflowRunner run
INFO: Dataflow SDK version: 2.43.0-SNAPSHOT
Sep 11, 2022 1:35:02 PM org.apache.beam.runners.dataflow.DataflowRunner run
INFO: To access the Dataflow monitoring console, please navigate to 
https://console.cloud.google.com/dataflow/jobs/us-central1/2022-09-11_06_35_02-651145125018784932?project=apache-beam-testing
Sep 11, 2022 1:35:02 PM org.apache.beam.runners.dataflow.DataflowRunner run
INFO: Submitted job: 2022-09-11_06_35_02-651145125018784932
Sep 11, 2022 1:35:02 PM org.apache.beam.runners.dataflow.DataflowRunner run
INFO: To cancel the job using the 'gcloud' tool, run:
> gcloud dataflow jobs --project=apache-beam-testing cancel 
> --region=us-central1 2022-09-11_06_35_02-651145125018784932
Sep 11, 2022 1:35:11 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
WARNING: 2022-09-11T13:35:07.471Z: The workflow name is not a valid Cloud 
Label. Labels applied to Cloud resources (such as GCE Instances) for monitoring 
will be labeled with this modified job name: 
load0tests0java110dataflow0v20streaming0cogbk02-jenkins-09-t0v8. For the best 
monitoring experience, please name your job with a valid Cloud Label. For 
details, see: 
https://cloud.google.com/compute/docs/labeling-resources#restrictions
Sep 11, 2022 1:35:14 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-09-11T13:35:13.953Z: Worker configuration: e2-standard-2 in 
us-central1-b.
Sep 11, 2022 1:35:17 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-09-11T13:35:14.951Z: Expanding SplittableParDo operations into 
optimizable parts.
Sep 11, 2022 1:35:17 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-09-11T13:35:14.981Z: Expanding CollectionToSingleton operations into 
optimizable parts.
Sep 11, 2022 1:35:17 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-09-11T13:35:15.073Z: Expanding CoGroupByKey operations into 
optimizable parts.
Sep 11, 2022 1:35:17 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-09-11T13:35:15.153Z: Expanding SplittableProcessKeyed operations 
into optimizable parts.
Sep 11, 2022 1:35:17 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-09-11T13:35:15.183Z: Expanding GroupByKey operations into streaming 
Read/Write steps
Sep 11, 2022 1:35:17 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-09-11T13:35:15.259Z: Lifting ValueCombiningMappingFns into 
MergeBucketsMappingFns
Sep 11, 2022 1:35:17 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-09-11T13:35:15.364Z: Fusing adjacent ParDo, Read, Write, and Flatten 
operations
Sep 11, 2022 1:35:17 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-09-11T13:35:15.395Z: Unzipping flatten CoGroupByKey-Flatten for 
input CoGroupByKey-MakeUnionTable0-ParMultiDo-ConstructUnionTable-.output
Sep 11, 2022 1:35:17 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-09-11T13:35:15.422Z: Fusing unzipped copy of 
CoGroupByKey/GBK/WriteStream, through flatten CoGroupByKey/Flatten, into 
producer CoGroupByKey/MakeUnionTable0/ParMultiDo(ConstructUnionTable)
Sep 11, 2022 1:35:17 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-09-11T13:35:15.457Z: Fusing consumer CoGroupByKey/GBK/WriteStream 
into CoGroupByKey/MakeUnionTable1/ParMultiDo(ConstructUnionTable)
Sep 11, 2022 1:35:17 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-09-11T13:35:15.484Z: Fusing consumer Read 
input/ParDo(OutputSingleSource)/ParMultiDo(OutputSingleSource) into Read 
input/Impulse
Sep 11, 2022 1:35:17 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-09-11T13:35:15.524Z: Fusing consumer 
Read-input-ParDo-UnboundedSourceAsSDFWrapper--ParMultiDo-UnboundedSourceAsSDFWrapper-/PairWithRestriction
 into Read input/ParDo(OutputSingleSource)/ParMultiDo(OutputSingleSource)
Sep 11, 2022 1:35:17 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-09-11T13:35:15.556Z: Fusing consumer 
Read-input-ParDo-UnboundedSourceAsSDFWrapper--ParMultiDo-UnboundedSourceAsSDFWrapper-/SplitWithSizing
 into 
Read-input-ParDo-UnboundedSourceAsSDFWrapper--ParMultiDo-UnboundedSourceAsSDFWrapper-/PairWithRestriction
Sep 11, 2022 1:35:17 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-09-11T13:35:15.592Z: Fusing consumer Read 
input/ParDo(StripIds)/ParMultiDo(StripIds) into 
Read-input-ParDo-UnboundedSourceAsSDFWrapper--ParMultiDo-UnboundedSourceAsSDFWrapper-/ProcessElementAndRestrictionWithSizing
Sep 11, 2022 1:35:17 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-09-11T13:35:15.622Z: Fusing consumer Collect start time metrics 
(input)/ParMultiDo(TimeMonitor) into Read 
input/ParDo(StripIds)/ParMultiDo(StripIds)
Sep 11, 2022 1:35:17 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-09-11T13:35:15.656Z: Fusing consumer Window.Into()/Window.Assign 
into Collect start time metrics (input)/ParMultiDo(TimeMonitor)
Sep 11, 2022 1:35:17 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-09-11T13:35:15.692Z: Fusing consumer 
CoGroupByKey/MakeUnionTable0/ParMultiDo(ConstructUnionTable) into 
Window.Into()/Window.Assign
Sep 11, 2022 1:35:17 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-09-11T13:35:15.732Z: Fusing consumer Read 
co-input/ParDo(OutputSingleSource)/ParMultiDo(OutputSingleSource) into Read 
co-input/Impulse
Sep 11, 2022 1:35:17 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-09-11T13:35:15.754Z: Fusing consumer 
Read-co-input-ParDo-UnboundedSourceAsSDFWrapper--ParMultiDo-UnboundedSourceAsSDFWrapper-/PairWithRestriction
 into Read co-input/ParDo(OutputSingleSource)/ParMultiDo(OutputSingleSource)
Sep 11, 2022 1:35:17 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-09-11T13:35:15.816Z: Fusing consumer 
Read-co-input-ParDo-UnboundedSourceAsSDFWrapper--ParMultiDo-UnboundedSourceAsSDFWrapper-/SplitWithSizing
 into 
Read-co-input-ParDo-UnboundedSourceAsSDFWrapper--ParMultiDo-UnboundedSourceAsSDFWrapper-/PairWithRestriction
Sep 11, 2022 1:35:17 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-09-11T13:35:15.853Z: Fusing consumer Read 
co-input/ParDo(StripIds)/ParMultiDo(StripIds) into 
Read-co-input-ParDo-UnboundedSourceAsSDFWrapper--ParMultiDo-UnboundedSourceAsSDFWrapper-/ProcessElementAndRestrictionWithSizing
Sep 11, 2022 1:35:17 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-09-11T13:35:15.884Z: Fusing consumer Collect start time metrics 
(co-input)/ParMultiDo(TimeMonitor) into Read 
co-input/ParDo(StripIds)/ParMultiDo(StripIds)
Sep 11, 2022 1:35:17 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-09-11T13:35:15.920Z: Fusing consumer Window.Into()2/Window.Assign 
into Collect start time metrics (co-input)/ParMultiDo(TimeMonitor)
Sep 11, 2022 1:35:17 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-09-11T13:35:15.950Z: Fusing consumer 
CoGroupByKey/MakeUnionTable1/ParMultiDo(ConstructUnionTable) into 
Window.Into()2/Window.Assign
Sep 11, 2022 1:35:17 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-09-11T13:35:15.980Z: Fusing consumer CoGroupByKey/GBK/MergeBuckets 
into CoGroupByKey/GBK/ReadStream
Sep 11, 2022 1:35:17 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-09-11T13:35:16.025Z: Fusing consumer 
CoGroupByKey/ConstructCoGbkResultFn/ParMultiDo(ConstructCoGbkResult) into 
CoGroupByKey/GBK/MergeBuckets
Sep 11, 2022 1:35:17 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-09-11T13:35:16.050Z: Fusing consumer Ungroup and 
reiterate/ParMultiDo(UngroupAndReiterate) into 
CoGroupByKey/ConstructCoGbkResultFn/ParMultiDo(ConstructCoGbkResult)
Sep 11, 2022 1:35:17 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-09-11T13:35:16.072Z: Fusing consumer Collect total 
bytes/ParMultiDo(ByteMonitor) into Ungroup and 
reiterate/ParMultiDo(UngroupAndReiterate)
Sep 11, 2022 1:35:17 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-09-11T13:35:16.103Z: Fusing consumer Collect end time 
metrics/ParMultiDo(TimeMonitor) into Collect total bytes/ParMultiDo(ByteMonitor)
Sep 11, 2022 1:35:17 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-09-11T13:35:16.314Z: Running job using Streaming Engine
Sep 11, 2022 1:35:17 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-09-11T13:35:16.653Z: Starting 5 ****s in us-central1-b...
Sep 11, 2022 1:35:31 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-09-11T13:35:30.698Z: Your project already contains 100 
Dataflow-created metric descriptors, so new user metrics of the form 
custom.googleapis.com/* will not be created. However, all user metrics are also 
available in the metric dataflow.googleapis.com/job/user_counter. If you rely 
on the custom metrics, you can delete old / unused metric descriptors. See 
https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.list
 and 
https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.delete
Sep 11, 2022 1:35:53 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-09-11T13:35:50.916Z: 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.
Sep 11, 2022 1:36:39 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-09-11T13:36:39.507Z: Workers have started successfully.

> Task :sdks:java:testing:load-tests:run FAILED
The message received from the daemon indicates that the daemon has disappeared.
Build request sent: Build{id=ae28fcbb-b704-49a3-a62e-f41b5a768a9f, 
currentDir=<https://ci-beam.apache.org/job/beam_LoadTests_Java_CoGBK_Dataflow_V2_Streaming_Java11/ws/src}>
Attempting to read last messages from the daemon log...
Daemon pid: 1614145
  log file: /home/jenkins/.gradle/daemon/7.5.1/daemon-1614145.out.log
----- Last  20 lines from daemon log file - daemon-1614145.out.log -----
Sep 11, 2022 1:35:53 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-09-11T13:35:50.916Z: Autoscaling: Raised the number of ****s to 5 so 
that the pipeline can catch up with its backlog and keep up with its input rate.
Sep 11, 2022 1:36:39 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-09-11T13:36:39.507Z: Workers have started successfully.
Daemon vm is shutting down... The daemon has exited normally or was terminated 
in response to a user interrupt.
Remove shutdown hook failed
java.lang.IllegalStateException: Shutdown in progress
        at 
java.lang.ApplicationShutdownHooks.remove(ApplicationShutdownHooks.java:82)
        at java.lang.Runtime.removeShutdownHook(Runtime.java:239)
        at 
org.gradle.process.internal.shutdown.ShutdownHooks.removeShutdownHook(ShutdownHooks.java:38)
        at 
org.gradle.process.internal.DefaultExecHandle.setEndStateInfo(DefaultExecHandle.java:208)
        at 
org.gradle.process.internal.DefaultExecHandle.aborted(DefaultExecHandle.java:366)
        at 
org.gradle.process.internal.ExecHandleRunner.completed(ExecHandleRunner.java:108)
        at 
org.gradle.process.internal.ExecHandleRunner.run(ExecHandleRunner.java:84)
        at 
org.gradle.internal.operations.CurrentBuildOperationPreservingRunnable.run(CurrentBuildOperationPreservingRunnable.java:42)
        at 
org.gradle.internal.concurrent.ExecutorPolicy$CatchAndRecordFailures.onExecute(ExecutorPolicy.java:64)
        at 
org.gradle.internal.concurrent.ManagedExecutorImpl$1.run(ManagedExecutorImpl.java:48)
        at 
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
        at 
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
        at java.lang.Thread.run(Thread.java:750)
----- 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
> Task :runners:google-cloud-dataflow-java:cleanUpDockerJavaImages
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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