See <https://ci-beam.apache.org/job/beam_LoadTests_Java_ParDo_Dataflow_V2_Streaming_Java11/425/display/redirect?page=changes>
Changes: [bulat.safiullin] [Website] add scroll to new position if anchor is present #22699 [bulat.safiullin] [Website] remove text from Available contact channels table #22696 [bulat.safiullin] [Website] update commits link #22520 [cushon] Downgrade bytebuddy version to 1.11.0 [noreply] Label kata changes with the language they're modifying (#22764) [noreply] [Website] Add GitHub issue link (#22774) [noreply] Fix some typos in the ML doc (#22763) [noreply] Go stateful DoFns user side changes (#22761) [noreply] fixed column width in tables in Getting started from Spark guide [noreply] Testing authentication for Playground (#22782) [noreply] [BEAM-12776, fixes #21095] Limit parallel closes from the prior element [noreply] [BEAM-13015, #21250] Reuse buffers when possible when writing on ------------------------------------------ [...truncated 47.93 KB...] > Task :release:go-licenses:java:createLicenses > Task :sdks:java:container:java11:copySdkHarnessLauncher Execution optimizations have been disabled for task ':sdks:java:container:java11:copySdkHarnessLauncher' to ensure correctness due to the following reasons: - Gradle detected a problem with the following location: '<https://ci-beam.apache.org/job/beam_LoadTests_Java_ParDo_Dataflow_V2_Streaming_Java11/ws/src/sdks/java/container/build/target'.> Reason: Task ':sdks:java:container:java11:copySdkHarnessLauncher' uses this output of task ':sdks:java:container:downloadCloudProfilerAgent' without declaring an explicit or implicit dependency. This can lead to incorrect results being produced, depending on what order the tasks are executed. Please refer to https://docs.gradle.org/7.4/userguide/validation_problems.html#implicit_dependency for more details about this problem. - Gradle detected a problem with the following location: '<https://ci-beam.apache.org/job/beam_LoadTests_Java_ParDo_Dataflow_V2_Streaming_Java11/ws/src/sdks/java/container/build/target'.> Reason: Task ':sdks:java:container:java11:copySdkHarnessLauncher' uses this output of task ':sdks:java:container:pullLicenses' without declaring an explicit or implicit dependency. This can lead to incorrect results being produced, depending on what order the tasks are executed. Please refer to https://docs.gradle.org/7.4/userguide/validation_problems.html#implicit_dependency for more details about this problem. > Task :sdks:java:container:java11:copyGolangLicenses > Task :sdks:java:container:java11:dockerPrepare > Task :sdks:java:container:java11:docker > Task :runners:google-cloud-dataflow-java:buildAndPushDockerJavaContainer WARNING: `gcloud docker` will not be supported for Docker client versions above 18.03. 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] 8a2357ee7e65: Preparing c471dae11a32: Preparing c3915bb86a24: Preparing 0b4c5d573640: Preparing 66d9d05f429f: Preparing dc5fd9aa7934: Preparing e132c30e50e1: Preparing 1f8b6d670a50: Preparing 0e47b257d930: Preparing 3b53286c9596: Preparing 5c80b2c8e9b0: Preparing 361e1ec013f7: Preparing 1f8b6d670a50: Waiting 136d696064d2: Preparing e132c30e50e1: Waiting dc5fd9aa7934: Waiting 18edf0add16f: Preparing 0e47b257d930: Waiting 598e87561c25: Preparing 7b7f3078e1db: Preparing 136d696064d2: Waiting 18edf0add16f: Waiting 598e87561c25: Waiting 7b7f3078e1db: Waiting 826c3ddbb29c: Preparing 5c80b2c8e9b0: Waiting b626401ef603: Preparing 9b55156abf26: Preparing 293d5db30c9f: Preparing 826c3ddbb29c: Waiting 9b55156abf26: Waiting 03127cdb479b: Preparing 9c742cd6c7a5: Preparing b626401ef603: Waiting 293d5db30c9f: Waiting 03127cdb479b: Waiting 9c742cd6c7a5: Waiting 0b4c5d573640: Pushed c471dae11a32: Pushed c3915bb86a24: Pushed 66d9d05f429f: Pushed 8a2357ee7e65: Pushed e132c30e50e1: Pushed 1f8b6d670a50: Pushed 3b53286c9596: Pushed 0e47b257d930: Pushed dc5fd9aa7934: Pushed 361e1ec013f7: Pushed 7b7f3078e1db: Layer already exists 826c3ddbb29c: Layer already exists 5c80b2c8e9b0: Pushed b626401ef603: Layer already exists 293d5db30c9f: Layer already exists 9b55156abf26: Layer already exists 03127cdb479b: Layer already exists 9c742cd6c7a5: Layer already exists 18edf0add16f: Pushed 598e87561c25: Pushed 136d696064d2: Pushed 20220819123728: digest: sha256:b42a34bda55a8d18d23a012c8a12720785936b1da45c829ab78e4962f7647180 size: 4935 > Task :sdks:java:testing:load-tests:run Aug 19, 2022 12:38:27 PM org.apache.beam.runners.dataflow.options.DataflowPipelineOptions$StagingLocationFactory create INFO: No stagingLocation provided, falling back to gcpTempLocation Aug 19, 2022 12:38:28 PM org.apache.beam.runners.dataflow.DataflowRunner fromOptions INFO: PipelineOptions.filesToStage was not specified. Defaulting to files from the classpath: will stage 222 files. Enable logging at DEBUG level to see which files will be staged. Aug 19, 2022 12:38:28 PM org.apache.beam.sdk.Pipeline validate WARNING: The following transforms do not have stable unique names: ParDo(TimeMonitor) Aug 19, 2022 12:38:28 PM org.apache.beam.runners.dataflow.DataflowRunner run INFO: Executing pipeline on the Dataflow Service, which will have billing implications related to Google Compute Engine usage and other Google Cloud Services. Aug 19, 2022 12:38:30 PM org.apache.beam.runners.dataflow.util.PackageUtil stageClasspathElements INFO: Uploading 222 files from PipelineOptions.filesToStage to staging location to prepare for execution. Aug 19, 2022 12:38:31 PM org.apache.beam.runners.dataflow.util.PackageUtil stageClasspathElements INFO: Staging files complete: 222 files cached, 0 files newly uploaded in 0 seconds Aug 19, 2022 12:38:31 PM org.apache.beam.runners.dataflow.DataflowRunner run INFO: Staging portable pipeline proto to gs://temp-storage-for-perf-tests/loadtests/staging/ Aug 19, 2022 12:38:31 PM org.apache.beam.runners.dataflow.util.PackageUtil tryStagePackage INFO: Uploading <115399 bytes, hash 0c4f21fd3e6bfde425c615e59c5168cd714baccefee5a5a60f8de87164996a71> to gs://temp-storage-for-perf-tests/loadtests/staging/pipeline-DE8h_T5r_eQlxhXlnFFozXFLrM7-5aWmD43ocWSZanE.pb Aug 19, 2022 12:38:33 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding Read input/DataflowRunner.StreamingUnboundedRead.ReadWithIds as step s1 Aug 19, 2022 12:38:33 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}] Aug 19, 2022 12:38:33 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding Read input/StripIds as step s2 Aug 19, 2022 12:38:33 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding ParDo(TimeMonitor) as step s3 Aug 19, 2022 12:38:33 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding ParDo(ByteMonitor) as step s4 Aug 19, 2022 12:38:33 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding Step: 0 as step s5 Aug 19, 2022 12:38:33 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding Step: 1 as step s6 Aug 19, 2022 12:38:33 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding Step: 2 as step s7 Aug 19, 2022 12:38:33 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding Step: 3 as step s8 Aug 19, 2022 12:38:33 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding Step: 4 as step s9 Aug 19, 2022 12:38:33 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding Step: 5 as step s10 Aug 19, 2022 12:38:33 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding Step: 6 as step s11 Aug 19, 2022 12:38:33 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding Step: 7 as step s12 Aug 19, 2022 12:38:33 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding Step: 8 as step s13 Aug 19, 2022 12:38:33 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding Step: 9 as step s14 Aug 19, 2022 12:38:33 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding ParDo(TimeMonitor)2 as step s15 Aug 19, 2022 12:38:33 PM org.apache.beam.runners.dataflow.DataflowRunner run INFO: Dataflow SDK version: 2.42.0-SNAPSHOT Aug 19, 2022 12:38:34 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-central1/2022-08-19_05_38_33-1654381554380834293?project=apache-beam-testing Aug 19, 2022 12:38:34 PM org.apache.beam.runners.dataflow.DataflowRunner run INFO: Submitted job: 2022-08-19_05_38_33-1654381554380834293 Aug 19, 2022 12:38:34 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 2022-08-19_05_38_33-1654381554380834293 Aug 19, 2022 12:38:39 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process WARNING: 2022-08-19T12:38:38.117Z: The workflow name is not a valid Cloud Label. Labels applied to Cloud resources (such as GCE Instances) for monitoring will be labeled with this modified job name: load0tests0java110dataflow0v20streaming0pardo01-jenkins-08-cx23. For the best monitoring experience, please name your job with a valid Cloud Label. For details, see: https://cloud.google.com/compute/docs/labeling-resources#restrictions Aug 19, 2022 12:38:47 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-19T12:38:46.792Z: Worker configuration: e2-standard-2 in us-central1-a. Aug 19, 2022 12:38:47 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-19T12:38:47.466Z: Expanding SplittableParDo operations into optimizable parts. Aug 19, 2022 12:38:47 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-19T12:38:47.508Z: Expanding CollectionToSingleton operations into optimizable parts. Aug 19, 2022 12:38:47 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-19T12:38:47.652Z: Expanding CoGroupByKey operations into optimizable parts. Aug 19, 2022 12:38:47 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-19T12:38:47.695Z: Expanding SplittableProcessKeyed operations into optimizable parts. Aug 19, 2022 12:38:47 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-19T12:38:47.725Z: Expanding GroupByKey operations into streaming Read/Write steps Aug 19, 2022 12:38:47 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-19T12:38:47.750Z: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns Aug 19, 2022 12:38:49 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-19T12:38:47.919Z: Fusing adjacent ParDo, Read, Write, and Flatten operations Aug 19, 2022 12:38:49 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-19T12:38:47.949Z: Fusing consumer Read input/ParDo(OutputSingleSource)/ParMultiDo(OutputSingleSource) into Read input/Impulse Aug 19, 2022 12:38:49 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-19T12:38:47.978Z: Fusing consumer Read-input-ParDo-UnboundedSourceAsSDFWrapper--ParMultiDo-UnboundedSourceAsSDFWrapper-/PairWithRestriction into Read input/ParDo(OutputSingleSource)/ParMultiDo(OutputSingleSource) Aug 19, 2022 12:38:49 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-19T12:38:48.019Z: Fusing consumer Read-input-ParDo-UnboundedSourceAsSDFWrapper--ParMultiDo-UnboundedSourceAsSDFWrapper-/SplitWithSizing into Read-input-ParDo-UnboundedSourceAsSDFWrapper--ParMultiDo-UnboundedSourceAsSDFWrapper-/PairWithRestriction Aug 19, 2022 12:38:49 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-19T12:38:48.059Z: Fusing consumer Read input/ParDo(StripIds)/ParMultiDo(StripIds) into Read-input-ParDo-UnboundedSourceAsSDFWrapper--ParMultiDo-UnboundedSourceAsSDFWrapper-/ProcessElementAndRestrictionWithSizing Aug 19, 2022 12:38:49 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-19T12:38:48.085Z: Fusing consumer ParDo(TimeMonitor)/ParMultiDo(TimeMonitor) into Read input/ParDo(StripIds)/ParMultiDo(StripIds) Aug 19, 2022 12:38:49 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-19T12:38:48.129Z: Fusing consumer ParDo(ByteMonitor)/ParMultiDo(ByteMonitor) into ParDo(TimeMonitor)/ParMultiDo(TimeMonitor) Aug 19, 2022 12:38:49 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-19T12:38:48.169Z: Fusing consumer Step: 0/ParMultiDo(CounterOperation) into ParDo(ByteMonitor)/ParMultiDo(ByteMonitor) Aug 19, 2022 12:38:49 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-19T12:38:48.198Z: Fusing consumer Step: 1/ParMultiDo(CounterOperation) into Step: 0/ParMultiDo(CounterOperation) Aug 19, 2022 12:38:49 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-19T12:38:48.237Z: Fusing consumer Step: 2/ParMultiDo(CounterOperation) into Step: 1/ParMultiDo(CounterOperation) Aug 19, 2022 12:38:49 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-19T12:38:48.265Z: Fusing consumer Step: 3/ParMultiDo(CounterOperation) into Step: 2/ParMultiDo(CounterOperation) Aug 19, 2022 12:38:49 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-19T12:38:48.285Z: Fusing consumer Step: 4/ParMultiDo(CounterOperation) into Step: 3/ParMultiDo(CounterOperation) Aug 19, 2022 12:38:49 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-19T12:38:48.312Z: Fusing consumer Step: 5/ParMultiDo(CounterOperation) into Step: 4/ParMultiDo(CounterOperation) Aug 19, 2022 12:38:49 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-19T12:38:48.347Z: Fusing consumer Step: 6/ParMultiDo(CounterOperation) into Step: 5/ParMultiDo(CounterOperation) Aug 19, 2022 12:38:49 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-19T12:38:48.381Z: Fusing consumer Step: 7/ParMultiDo(CounterOperation) into Step: 6/ParMultiDo(CounterOperation) Aug 19, 2022 12:38:49 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-19T12:38:48.407Z: Fusing consumer Step: 8/ParMultiDo(CounterOperation) into Step: 7/ParMultiDo(CounterOperation) Aug 19, 2022 12:38:49 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-19T12:38:48.452Z: Fusing consumer Step: 9/ParMultiDo(CounterOperation) into Step: 8/ParMultiDo(CounterOperation) Aug 19, 2022 12:38:49 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-19T12:38:48.514Z: Fusing consumer ParDo(TimeMonitor)2/ParMultiDo(TimeMonitor) into Step: 9/ParMultiDo(CounterOperation) Aug 19, 2022 12:38:49 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-19T12:38:48.681Z: Running job using Streaming Engine Aug 19, 2022 12:38:49 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-19T12:38:48.995Z: Starting 5 ****s in us-central1-a... Aug 19, 2022 12:38:57 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-19T12:38:55.394Z: Your project already contains 100 Dataflow-created metric descriptors, so new user metrics of the form custom.googleapis.com/* will not be created. However, all user metrics are also available in the metric dataflow.googleapis.com/job/user_counter. If you rely on the custom metrics, you can delete old / unused metric descriptors. See https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.list and https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.delete Aug 19, 2022 12:39:28 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-19T12:39:27.156Z: 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. Aug 19, 2022 12:40:31 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-19T12:40:29.107Z: Workers have started successfully. > Task :sdks:java:testing:load-tests:run FAILED The message received from the daemon indicates that the daemon has disappeared. Build request sent: Build{id=ecc4d0b1-377f-4e16-ab25-c352fb13de14, currentDir=<https://ci-beam.apache.org/job/beam_LoadTests_Java_ParDo_Dataflow_V2_Streaming_Java11/ws/src}> Attempting to read last messages from the daemon log... Daemon pid: 2619451 log file: /home/jenkins/.gradle/daemon/7.4/daemon-2619451.out.log ----- Last 20 lines from daemon log file - daemon-2619451.out.log ----- Aug 19, 2022 12:39:28 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-19T12:39:27.156Z: 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. Aug 19, 2022 12:40:31 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-19T12:40:29.107Z: Workers have started successfully. Daemon vm is shutting down... The daemon has exited normally or was terminated in response to a user interrupt. Remove shutdown hook failed java.lang.IllegalStateException: Shutdown in progress at java.lang.ApplicationShutdownHooks.remove(ApplicationShutdownHooks.java:82) at java.lang.Runtime.removeShutdownHook(Runtime.java:239) at org.gradle.process.internal.shutdown.ShutdownHooks.removeShutdownHook(ShutdownHooks.java:38) at org.gradle.process.internal.DefaultExecHandle.setEndStateInfo(DefaultExecHandle.java:208) at org.gradle.process.internal.DefaultExecHandle.aborted(DefaultExecHandle.java:365) at org.gradle.process.internal.ExecHandleRunner.completed(ExecHandleRunner.java:108) at org.gradle.process.internal.ExecHandleRunner.run(ExecHandleRunner.java:84) at org.gradle.internal.operations.CurrentBuildOperationPreservingRunnable.run(CurrentBuildOperationPreservingRunnable.java:42) at org.gradle.internal.concurrent.ExecutorPolicy$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 --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
