See <https://ci-beam.apache.org/job/beam_LoadTests_Java_ParDo_Dataflow_V2_Streaming_Java11/423/display/redirect?page=changes>
Changes: [noreply] Handle single-precision float values in the standard coders tests [noreply] [BEAM-13015, #21250] Remove looking up thread local metrics container [noreply] [fixes #22731] Publish nightly snapshot of legacy Dataflow worker jar. [andyye333] Remove assert [noreply] [fixes #22744] Update hadoop library patch versions to 2.10.2 and 3.2.4 [noreply] Update beam-master version for legacy (#22741) ------------------------------------------ [...truncated 48.04 KB...] /home/jenkins/go/bin/go1.18.1 build -o ./build/target/linux_amd64/boot boot.go boot_test.go > 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: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] 232333cac1ad: Preparing 2affffedecec: Preparing f71e60612c5e: Preparing 3021dfe15e0f: Preparing ff5984edaed7: Preparing 90edf1065716: Preparing 3a60b0348403: Preparing 3dbabd85a5c3: Preparing 9b8fd97caca9: Preparing 680d3a302f17: Preparing 78fa9e84d9a2: Preparing 71e6d4c6d261: Preparing 69379b1e38c9: Preparing 3a71125a2395: Preparing 3dbabd85a5c3: Waiting 3e51cb7bb6f3: Preparing 7b7f3078e1db: Preparing 826c3ddbb29c: Preparing 9b8fd97caca9: Waiting 90edf1065716: Waiting b626401ef603: Preparing 9b55156abf26: Preparing 3a60b0348403: Waiting 680d3a302f17: Waiting 293d5db30c9f: Preparing 03127cdb479b: Preparing 9c742cd6c7a5: Preparing 7b7f3078e1db: Waiting 3a71125a2395: Waiting 71e6d4c6d261: Waiting 826c3ddbb29c: Waiting b626401ef603: Waiting 9b55156abf26: Waiting 293d5db30c9f: Waiting 78fa9e84d9a2: Waiting 9c742cd6c7a5: Waiting 03127cdb479b: Waiting 69379b1e38c9: Waiting 3021dfe15e0f: Pushed ff5984edaed7: Pushed 2affffedecec: Pushed f71e60612c5e: Pushed 232333cac1ad: Pushed 3dbabd85a5c3: Pushed 3a60b0348403: Pushed 680d3a302f17: Pushed 9b8fd97caca9: Pushed 90edf1065716: Pushed 71e6d4c6d261: Pushed 7b7f3078e1db: Layer already exists 826c3ddbb29c: Layer already exists 78fa9e84d9a2: Pushed b626401ef603: Layer already exists 9b55156abf26: Layer already exists 293d5db30c9f: Layer already exists 03127cdb479b: Layer already exists 9c742cd6c7a5: Layer already exists 3a71125a2395: Pushed 3e51cb7bb6f3: Pushed 69379b1e38c9: Pushed 20220817123726: digest: sha256:9ef753e69f9ce6f02653c826d7f733cba577502b632bfcb4faa6b80074781050 size: 4935 > Task :sdks:java:testing:load-tests:run Aug 17, 2022 12:38:51 PM org.apache.beam.runners.dataflow.options.DataflowPipelineOptions$StagingLocationFactory create INFO: No stagingLocation provided, falling back to gcpTempLocation Aug 17, 2022 12:38:52 PM org.apache.beam.runners.dataflow.DataflowRunner fromOptions INFO: PipelineOptions.filesToStage was not specified. Defaulting to files from the classpath: will stage 222 files. Enable logging at DEBUG level to see which files will be staged. Aug 17, 2022 12:38:52 PM org.apache.beam.sdk.Pipeline validate WARNING: The following transforms do not have stable unique names: ParDo(TimeMonitor) Aug 17, 2022 12:38:52 PM org.apache.beam.runners.dataflow.DataflowRunner run INFO: Executing pipeline on the Dataflow Service, which will have billing implications related to Google Compute Engine usage and other Google Cloud Services. Aug 17, 2022 12:38:54 PM org.apache.beam.runners.dataflow.util.PackageUtil stageClasspathElements INFO: Uploading 222 files from PipelineOptions.filesToStage to staging location to prepare for execution. Aug 17, 2022 12:38:55 PM org.apache.beam.runners.dataflow.util.PackageUtil stageClasspathElements INFO: Staging files complete: 222 files cached, 0 files newly uploaded in 0 seconds Aug 17, 2022 12:38:55 PM org.apache.beam.runners.dataflow.DataflowRunner run INFO: Staging portable pipeline proto to gs://temp-storage-for-perf-tests/loadtests/staging/ Aug 17, 2022 12:38:55 PM org.apache.beam.runners.dataflow.util.PackageUtil tryStagePackage INFO: Uploading <115399 bytes, hash f091443dbfd0caed513a231d15657922fcdb0b5d4e9b2f9ee4e6d792c7f3f006> to gs://temp-storage-for-perf-tests/loadtests/staging/pipeline-8JFEPb_Qyu1ROiMdFWV5IvzbC11Omy-e5ObXksfz8AY.pb Aug 17, 2022 12:38:57 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding Read input/DataflowRunner.StreamingUnboundedRead.ReadWithIds as step s1 Aug 17, 2022 12:38:57 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 17, 2022 12:38:57 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding Read input/StripIds as step s2 Aug 17, 2022 12:38:57 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding ParDo(TimeMonitor) as step s3 Aug 17, 2022 12:38:57 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding ParDo(ByteMonitor) as step s4 Aug 17, 2022 12:38:57 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding Step: 0 as step s5 Aug 17, 2022 12:38:57 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding Step: 1 as step s6 Aug 17, 2022 12:38:57 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding Step: 2 as step s7 Aug 17, 2022 12:38:57 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding Step: 3 as step s8 Aug 17, 2022 12:38:57 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding Step: 4 as step s9 Aug 17, 2022 12:38:57 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding Step: 5 as step s10 Aug 17, 2022 12:38:57 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding Step: 6 as step s11 Aug 17, 2022 12:38:57 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding Step: 7 as step s12 Aug 17, 2022 12:38:57 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding Step: 8 as step s13 Aug 17, 2022 12:38:57 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding Step: 9 as step s14 Aug 17, 2022 12:38:57 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding ParDo(TimeMonitor)2 as step s15 Aug 17, 2022 12:38:57 PM org.apache.beam.runners.dataflow.DataflowRunner run INFO: Dataflow SDK version: 2.42.0-SNAPSHOT Aug 17, 2022 12:38:58 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-central1/2022-08-17_05_38_57-12191608702800755709?project=apache-beam-testing Aug 17, 2022 12:38:58 PM org.apache.beam.runners.dataflow.DataflowRunner run INFO: Submitted job: 2022-08-17_05_38_57-12191608702800755709 Aug 17, 2022 12:38:58 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 2022-08-17_05_38_57-12191608702800755709 Aug 17, 2022 12:39:07 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process WARNING: 2022-08-17T12:39:03.455Z: The workflow name is not a valid Cloud Label. Labels applied to Cloud resources (such as GCE Instances) for monitoring will be labeled with this modified job name: load0tests0java110dataflow0v20streaming0pardo01-jenkins-08-poju. For the best monitoring experience, please name your job with a valid Cloud Label. For details, see: https://cloud.google.com/compute/docs/labeling-resources#restrictions Aug 17, 2022 12:39:12 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-17T12:39:11.997Z: Worker configuration: e2-standard-2 in us-central1-a. Aug 17, 2022 12:39:13 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-17T12:39:12.983Z: Expanding SplittableParDo operations into optimizable parts. Aug 17, 2022 12:39:13 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-17T12:39:13.012Z: Expanding CollectionToSingleton operations into optimizable parts. Aug 17, 2022 12:39:13 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-17T12:39:13.088Z: Expanding CoGroupByKey operations into optimizable parts. Aug 17, 2022 12:39:13 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-17T12:39:13.126Z: Expanding SplittableProcessKeyed operations into optimizable parts. Aug 17, 2022 12:39:13 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-17T12:39:13.161Z: Expanding GroupByKey operations into streaming Read/Write steps Aug 17, 2022 12:39:13 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-17T12:39:13.196Z: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns Aug 17, 2022 12:39:13 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-17T12:39:13.263Z: Fusing adjacent ParDo, Read, Write, and Flatten operations Aug 17, 2022 12:39:13 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-17T12:39:13.299Z: Fusing consumer Read input/ParDo(OutputSingleSource)/ParMultiDo(OutputSingleSource) into Read input/Impulse Aug 17, 2022 12:39:13 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-17T12:39:13.323Z: Fusing consumer Read-input-ParDo-UnboundedSourceAsSDFWrapper--ParMultiDo-UnboundedSourceAsSDFWrapper-/PairWithRestriction into Read input/ParDo(OutputSingleSource)/ParMultiDo(OutputSingleSource) Aug 17, 2022 12:39:13 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-17T12:39:13.360Z: Fusing consumer Read-input-ParDo-UnboundedSourceAsSDFWrapper--ParMultiDo-UnboundedSourceAsSDFWrapper-/SplitWithSizing into Read-input-ParDo-UnboundedSourceAsSDFWrapper--ParMultiDo-UnboundedSourceAsSDFWrapper-/PairWithRestriction Aug 17, 2022 12:39:13 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-17T12:39:13.389Z: Fusing consumer Read input/ParDo(StripIds)/ParMultiDo(StripIds) into Read-input-ParDo-UnboundedSourceAsSDFWrapper--ParMultiDo-UnboundedSourceAsSDFWrapper-/ProcessElementAndRestrictionWithSizing Aug 17, 2022 12:39:13 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-17T12:39:13.423Z: Fusing consumer ParDo(TimeMonitor)/ParMultiDo(TimeMonitor) into Read input/ParDo(StripIds)/ParMultiDo(StripIds) Aug 17, 2022 12:39:13 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-17T12:39:13.452Z: Fusing consumer ParDo(ByteMonitor)/ParMultiDo(ByteMonitor) into ParDo(TimeMonitor)/ParMultiDo(TimeMonitor) Aug 17, 2022 12:39:13 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-17T12:39:13.484Z: Fusing consumer Step: 0/ParMultiDo(CounterOperation) into ParDo(ByteMonitor)/ParMultiDo(ByteMonitor) Aug 17, 2022 12:39:15 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-17T12:39:13.517Z: Fusing consumer Step: 1/ParMultiDo(CounterOperation) into Step: 0/ParMultiDo(CounterOperation) Aug 17, 2022 12:39:15 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-17T12:39:13.542Z: Fusing consumer Step: 2/ParMultiDo(CounterOperation) into Step: 1/ParMultiDo(CounterOperation) Aug 17, 2022 12:39:15 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-17T12:39:13.587Z: Fusing consumer Step: 3/ParMultiDo(CounterOperation) into Step: 2/ParMultiDo(CounterOperation) Aug 17, 2022 12:39:15 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-17T12:39:13.614Z: Fusing consumer Step: 4/ParMultiDo(CounterOperation) into Step: 3/ParMultiDo(CounterOperation) Aug 17, 2022 12:39:15 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-17T12:39:13.637Z: Fusing consumer Step: 5/ParMultiDo(CounterOperation) into Step: 4/ParMultiDo(CounterOperation) Aug 17, 2022 12:39:15 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-17T12:39:13.703Z: Fusing consumer Step: 6/ParMultiDo(CounterOperation) into Step: 5/ParMultiDo(CounterOperation) Aug 17, 2022 12:39:15 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-17T12:39:13.734Z: Fusing consumer Step: 7/ParMultiDo(CounterOperation) into Step: 6/ParMultiDo(CounterOperation) Aug 17, 2022 12:39:15 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-17T12:39:13.765Z: Fusing consumer Step: 8/ParMultiDo(CounterOperation) into Step: 7/ParMultiDo(CounterOperation) Aug 17, 2022 12:39:15 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-17T12:39:13.788Z: Fusing consumer Step: 9/ParMultiDo(CounterOperation) into Step: 8/ParMultiDo(CounterOperation) Aug 17, 2022 12:39:15 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-17T12:39:13.813Z: Fusing consumer ParDo(TimeMonitor)2/ParMultiDo(TimeMonitor) into Step: 9/ParMultiDo(CounterOperation) Aug 17, 2022 12:39:15 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-17T12:39:13.911Z: Running job using Streaming Engine Aug 17, 2022 12:39:15 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-17T12:39:14.180Z: Starting 5 ****s in us-central1-a... Aug 17, 2022 12:39:31 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-17T12:39:30.366Z: Your project already contains 100 Dataflow-created metric descriptors, so new user metrics of the form custom.googleapis.com/* will not be created. However, all user metrics are also available in the metric dataflow.googleapis.com/job/user_counter. If you rely on the custom metrics, you can delete old / unused metric descriptors. See https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.list and https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.delete Aug 17, 2022 12:39:50 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-17T12:39:47.944Z: 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 17, 2022 12:40:51 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-17T12:40:50.925Z: Workers have started successfully. > Task :sdks:java:testing:load-tests:run FAILED The message received from the daemon indicates that the daemon has disappeared. Build request sent: Build{id=81b3c0dd-b805-415d-8ac0-f993ff866169, currentDir=<https://ci-beam.apache.org/job/beam_LoadTests_Java_ParDo_Dataflow_V2_Streaming_Java11/ws/src}> Attempting to read last messages from the daemon log... Daemon pid: 755493 log file: /home/jenkins/.gradle/daemon/7.4/daemon-755493.out.log ----- Last 20 lines from daemon log file - daemon-755493.out.log ----- Aug 17, 2022 12:39:50 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-17T12:39:47.944Z: 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 17, 2022 12:40:51 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-17T12:40:50.925Z: Workers have started successfully. Daemon vm is shutting down... The daemon has exited normally or was terminated in response to a user interrupt. Remove shutdown hook failed java.lang.IllegalStateException: Shutdown in progress at java.lang.ApplicationShutdownHooks.remove(ApplicationShutdownHooks.java:82) at java.lang.Runtime.removeShutdownHook(Runtime.java:239) at org.gradle.process.internal.shutdown.ShutdownHooks.removeShutdownHook(ShutdownHooks.java:38) at org.gradle.process.internal.DefaultExecHandle.setEndStateInfo(DefaultExecHandle.java:208) at org.gradle.process.internal.DefaultExecHandle.aborted(DefaultExecHandle.java:365) at org.gradle.process.internal.ExecHandleRunner.completed(ExecHandleRunner.java:108) at org.gradle.process.internal.ExecHandleRunner.run(ExecHandleRunner.java:84) at org.gradle.internal.operations.CurrentBuildOperationPreservingRunnable.run(CurrentBuildOperationPreservingRunnable.java:42) at org.gradle.internal.concurrent.ExecutorPolicy$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]
