See <https://ci-beam.apache.org/job/beam_LoadTests_Java_ParDo_Dataflow_V2_Streaming_Java11/531/display/redirect?page=changes>
Changes: [Xinyu Liu] Disable flaky async tests in samza runner [noreply] Bump cloud.google.com/go/spanner from 1.40.0 to 1.41.0 in /sdks (#24483) [noreply] Revert "Support SqlTypes Date and Timestamp (MicrosInstant) in AvroUtils [noreply] Bump actions/setup-java from 3.6.0 to 3.7.0 (#24484) [noreply] Add GPU benchmark to RunInference Grafana dashboard (#24485) [Yi Hu] Add back javadoc [noreply] [CdapIO] Update read timeout for SparkReceiverIOIT job (#24428) [noreply] Bump cloud.google.com/go/datastore from 1.9.0 to 1.10.0 in /sdks [noreply] Fix broken typescript tests [noreply] Reduce version matrix of build wheel on pull request event (#24448) [noreply] [Spark dataset runner] Make sure PCollection views get only broadcasted [noreply] Fix for #22951 w/ GroupIntoBatchesOverride fix (#24463) [noreply] Never mark issues as stale (#24494) [noreply] [BigQueryIO] Use final destination table schema and metadata when [noreply] Minor visibility improvements to render runner. (#24480) [noreply] [Go SDK]: Infer field names from struct tags (#24473) [noreply] Bump github.com/go-sql-driver/mysql from 1.6.0 to 1.7.0 in /sdks [noreply] [Website] add coauthor option to case-studies #24486 (#24475) [noreply] Add panel pointing to docs for ml benchmarks (#24503) [noreply] Adding Beam Schemas capability to parse json-schemas. This is the de-… [noreply] Bump tensorflow from 2.9.1 to 2.9.3 in [noreply] [SQL extension] Minor fixes to logging applying best practices (#24328) [noreply] Apply task configuration avoidance (#24509) [noreply] Bump cloud.google.com/go/profiler from 0.3.0 to 0.3.1 in /sdks (#24498) [relax] fix exception ------------------------------------------ [...truncated 52.79 KB...] 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] 797e9135ba67: Preparing c5088564c09c: Preparing a4b610171bda: Preparing 592900a4f0ca: Preparing afd5543fcc24: Preparing 097bb3512cde: Preparing d04cc7875ae6: Preparing 6f64e30eab45: Preparing 8c5b96577aee: Preparing 1d1942165ea2: Preparing 726a3f7a3dfc: Preparing 56dda4322a1c: Preparing 43ca73abe01b: Preparing 9ed6266a6e94: Preparing c68931228034: Preparing 7b7f3078e1db: Preparing 826c3ddbb29c: Preparing b626401ef603: Preparing 9b55156abf26: Preparing 293d5db30c9f: Preparing 03127cdb479b: Preparing 8c5b96577aee: Waiting 9c742cd6c7a5: Preparing 56dda4322a1c: Waiting 43ca73abe01b: Waiting 1d1942165ea2: Waiting 9ed6266a6e94: Waiting 03127cdb479b: Waiting c68931228034: Waiting 9b55156abf26: Waiting 726a3f7a3dfc: Waiting 293d5db30c9f: Waiting b626401ef603: Waiting 7b7f3078e1db: Waiting 826c3ddbb29c: Waiting 097bb3512cde: Waiting 6f64e30eab45: Waiting c5088564c09c: Pushed a4b610171bda: Pushed afd5543fcc24: Pushed 592900a4f0ca: Pushed 797e9135ba67: Pushed d04cc7875ae6: Pushed 6f64e30eab45: Pushed 1d1942165ea2: Pushed 8c5b96577aee: Pushed 097bb3512cde: Pushed 56dda4322a1c: Pushed 7b7f3078e1db: Layer already exists 826c3ddbb29c: Layer already exists b626401ef603: Layer already exists 726a3f7a3dfc: Pushed 9b55156abf26: Layer already exists 293d5db30c9f: Layer already exists 03127cdb479b: Layer already exists 9c742cd6c7a5: Layer already exists 43ca73abe01b: Pushed 9ed6266a6e94: Pushed c68931228034: Pushed 20221203123729: digest: sha256:fd1f6d1b39736a4d6603836833fc1bd6a70040b3ccca2cf85a735b25d2d7078b size: 4934 > Task :sdks:java:testing:load-tests:run Dec 03, 2022 12:38:22 PM org.apache.beam.runners.dataflow.options.DataflowPipelineOptions$StagingLocationFactory create INFO: No stagingLocation provided, falling back to gcpTempLocation Dec 03, 2022 12:38:23 PM org.apache.beam.runners.dataflow.DataflowRunner fromOptions INFO: PipelineOptions.filesToStage was not specified. Defaulting to files from the classpath: will stage 227 files. Enable logging at DEBUG level to see which files will be staged. Dec 03, 2022 12:38:23 PM org.apache.beam.sdk.Pipeline validate WARNING: The following transforms do not have stable unique names: ParDo(TimeMonitor) Dec 03, 2022 12:38:23 PM org.apache.beam.runners.dataflow.DataflowRunner run INFO: Executing pipeline on the Dataflow Service, which will have billing implications related to Google Compute Engine usage and other Google Cloud Services. Dec 03, 2022 12:38:26 PM org.apache.beam.runners.dataflow.util.PackageUtil stageClasspathElements INFO: Uploading 227 files from PipelineOptions.filesToStage to staging location to prepare for execution. Dec 03, 2022 12:38:26 PM org.apache.beam.runners.dataflow.util.PackageUtil stageClasspathElements INFO: Staging files complete: 227 files cached, 0 files newly uploaded in 0 seconds Dec 03, 2022 12:38:26 PM org.apache.beam.runners.dataflow.DataflowRunner run INFO: Staging portable pipeline proto to gs://temp-storage-for-perf-tests/loadtests/staging/ Dec 03, 2022 12:38:26 PM org.apache.beam.runners.dataflow.util.PackageUtil tryStagePackage INFO: Uploading <117102 bytes, hash e9ee65cde8d75aee0a8ce17fa384a8627de3e1411f7955101cb92e79778353ec> to gs://temp-storage-for-perf-tests/loadtests/staging/pipeline-6e5lzejXWu4KjOF_o4SoYn3j4UEfeVUQHLkueXeDU-w.pb Dec 03, 2022 12:38:28 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding Read input/DataflowRunner.StreamingUnboundedRead.ReadWithIds as step s1 Dec 03, 2022 12:38:28 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}] Dec 03, 2022 12:38:28 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding Read input/StripIds as step s2 Dec 03, 2022 12:38:28 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding ParDo(TimeMonitor) as step s3 Dec 03, 2022 12:38:28 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding ParDo(ByteMonitor) as step s4 Dec 03, 2022 12:38:28 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding Step: 0 as step s5 Dec 03, 2022 12:38:28 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding Step: 1 as step s6 Dec 03, 2022 12:38:28 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding Step: 2 as step s7 Dec 03, 2022 12:38:28 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding Step: 3 as step s8 Dec 03, 2022 12:38:28 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding Step: 4 as step s9 Dec 03, 2022 12:38:28 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding Step: 5 as step s10 Dec 03, 2022 12:38:28 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding Step: 6 as step s11 Dec 03, 2022 12:38:28 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding Step: 7 as step s12 Dec 03, 2022 12:38:28 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding Step: 8 as step s13 Dec 03, 2022 12:38:28 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding Step: 9 as step s14 Dec 03, 2022 12:38:28 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding ParDo(TimeMonitor)2 as step s15 Dec 03, 2022 12:38:28 PM org.apache.beam.runners.dataflow.DataflowRunner run INFO: Dataflow SDK version: 2.45.0-SNAPSHOT Dec 03, 2022 12:38:29 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-central1/2022-12-03_04_38_28-11717450367541726203?project=apache-beam-testing Dec 03, 2022 12:38:29 PM org.apache.beam.runners.dataflow.DataflowRunner run INFO: Submitted job: 2022-12-03_04_38_28-11717450367541726203 Dec 03, 2022 12:38:29 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 2022-12-03_04_38_28-11717450367541726203 Dec 03, 2022 12:38:39 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process WARNING: 2022-12-03T12:38:33.061Z: The workflow name is not a valid Cloud Label. Labels applied to Cloud resources (such as GCE Instances) for monitoring will be labeled with this modified job name: load0tests0java110dataflow0v20streaming0pardo01-jenkins-12-f3mm. For the best monitoring experience, please name your job with a valid Cloud Label. For details, see: https://cloud.google.com/compute/docs/labeling-resources#restrictions Dec 03, 2022 12:38:45 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-12-03T12:38:44.819Z: Worker configuration: e2-standard-2 in us-central1-b. Dec 03, 2022 12:38:48 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-12-03T12:38:46.717Z: Expanding SplittableParDo operations into optimizable parts. Dec 03, 2022 12:38:48 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-12-03T12:38:46.747Z: Expanding CollectionToSingleton operations into optimizable parts. Dec 03, 2022 12:38:48 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-12-03T12:38:46.816Z: Expanding CoGroupByKey operations into optimizable parts. Dec 03, 2022 12:38:48 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-12-03T12:38:46.845Z: Expanding SplittableProcessKeyed operations into optimizable parts. Dec 03, 2022 12:38:48 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-12-03T12:38:46.867Z: Expanding GroupByKey operations into streaming Read/Write steps Dec 03, 2022 12:38:48 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-12-03T12:38:46.898Z: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns Dec 03, 2022 12:38:48 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-12-03T12:38:46.990Z: Fusing adjacent ParDo, Read, Write, and Flatten operations Dec 03, 2022 12:38:48 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-12-03T12:38:47.022Z: Fusing consumer Read input/ParDo(OutputSingleSource)/ParMultiDo(OutputSingleSource) into Read input/Impulse Dec 03, 2022 12:38:48 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-12-03T12:38:47.049Z: Fusing consumer Read-input-ParDo-UnboundedSourceAsSDFWrapper--ParMultiDo-UnboundedSourceAsSDFWrapper-/PairWithRestriction into Read input/ParDo(OutputSingleSource)/ParMultiDo(OutputSingleSource) Dec 03, 2022 12:38:48 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-12-03T12:38:47.073Z: Fusing consumer Read-input-ParDo-UnboundedSourceAsSDFWrapper--ParMultiDo-UnboundedSourceAsSDFWrapper-/SplitWithSizing into Read-input-ParDo-UnboundedSourceAsSDFWrapper--ParMultiDo-UnboundedSourceAsSDFWrapper-/PairWithRestriction Dec 03, 2022 12:38:48 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-12-03T12:38:47.107Z: Fusing consumer Read input/ParDo(StripIds)/ParMultiDo(StripIds) into Read-input-ParDo-UnboundedSourceAsSDFWrapper--ParMultiDo-UnboundedSourceAsSDFWrapper-/ProcessElementAndRestrictionWithSizing Dec 03, 2022 12:38:48 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-12-03T12:38:47.136Z: Fusing consumer ParDo(TimeMonitor)/ParMultiDo(TimeMonitor) into Read input/ParDo(StripIds)/ParMultiDo(StripIds) Dec 03, 2022 12:38:48 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-12-03T12:38:47.163Z: Fusing consumer ParDo(ByteMonitor)/ParMultiDo(ByteMonitor) into ParDo(TimeMonitor)/ParMultiDo(TimeMonitor) Dec 03, 2022 12:38:48 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-12-03T12:38:47.199Z: Fusing consumer Step: 0/ParMultiDo(CounterOperation) into ParDo(ByteMonitor)/ParMultiDo(ByteMonitor) Dec 03, 2022 12:38:48 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-12-03T12:38:47.222Z: Fusing consumer Step: 1/ParMultiDo(CounterOperation) into Step: 0/ParMultiDo(CounterOperation) Dec 03, 2022 12:38:48 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-12-03T12:38:47.254Z: Fusing consumer Step: 2/ParMultiDo(CounterOperation) into Step: 1/ParMultiDo(CounterOperation) Dec 03, 2022 12:38:48 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-12-03T12:38:47.283Z: Fusing consumer Step: 3/ParMultiDo(CounterOperation) into Step: 2/ParMultiDo(CounterOperation) Dec 03, 2022 12:38:48 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-12-03T12:38:47.315Z: Fusing consumer Step: 4/ParMultiDo(CounterOperation) into Step: 3/ParMultiDo(CounterOperation) Dec 03, 2022 12:38:48 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-12-03T12:38:47.342Z: Fusing consumer Step: 5/ParMultiDo(CounterOperation) into Step: 4/ParMultiDo(CounterOperation) Dec 03, 2022 12:38:48 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-12-03T12:38:47.372Z: Fusing consumer Step: 6/ParMultiDo(CounterOperation) into Step: 5/ParMultiDo(CounterOperation) Dec 03, 2022 12:38:48 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-12-03T12:38:47.400Z: Fusing consumer Step: 7/ParMultiDo(CounterOperation) into Step: 6/ParMultiDo(CounterOperation) Dec 03, 2022 12:38:48 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-12-03T12:38:47.436Z: Fusing consumer Step: 8/ParMultiDo(CounterOperation) into Step: 7/ParMultiDo(CounterOperation) Dec 03, 2022 12:38:48 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-12-03T12:38:47.470Z: Fusing consumer Step: 9/ParMultiDo(CounterOperation) into Step: 8/ParMultiDo(CounterOperation) Dec 03, 2022 12:38:48 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-12-03T12:38:47.506Z: Fusing consumer ParDo(TimeMonitor)2/ParMultiDo(TimeMonitor) into Step: 9/ParMultiDo(CounterOperation) Dec 03, 2022 12:38:48 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-12-03T12:38:47.591Z: Running job using Streaming Engine Dec 03, 2022 12:38:50 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-12-03T12:38:48.795Z: Starting 5 ****s in us-central1-b... Dec 03, 2022 12:38:55 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-12-03T12:38:53.153Z: Your project already contains 100 Dataflow-created metric descriptors, so new user metrics of the form custom.googleapis.com/* will not be created. However, all user metrics are also available in the metric dataflow.googleapis.com/job/user_counter. If you rely on the custom metrics, you can delete old / unused metric descriptors. See https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.list and https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.delete Dec 03, 2022 12:39:31 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-12-03T12:39:31.258Z: 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. Dec 03, 2022 12:40:35 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-12-03T12:40:35.479Z: All ****s have finished the startup processes and began to receive work requests. Dec 03, 2022 12:40:38 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-12-03T12:40:35.945Z: Workers have started successfully. Dec 03, 2022 12:42:13 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-12-03T12:42:11.280Z: Cleaning up. Dec 03, 2022 12:42:13 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-12-03T12:42:11.363Z: Stopping **** pool... Dec 03, 2022 12:42:13 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-12-03T12:42:11.443Z: Stopping **** pool... Dec 03, 2022 12:42:29 PM org.apache.beam.runners.dataflow.DataflowPipelineJob lambda$waitUntilFinish$0 WARNING: Job is already running in Google Cloud Platform, Ctrl-C will not cancel it. To cancel the job in the cloud, run: > gcloud dataflow jobs --project=apache-beam-testing cancel > --region=us-central1 2022-12-03_04_38_28-11717450367541726203 > Task :sdks:java:testing:load-tests:run FAILED The message received from the daemon indicates that the daemon has disappeared. Build request sent: Build{id=d1cf657d-dd79-4a34-951f-1fe182ddc1fe, currentDir=<https://ci-beam.apache.org/job/beam_LoadTests_Java_ParDo_Dataflow_V2_Streaming_Java11/ws/src}> Attempting to read last messages from the daemon log... Daemon pid: 3907694 log file: /home/jenkins/.gradle/daemon/7.5.1/daemon-3907694.out.log ----- Last 20 lines from daemon log file - daemon-3907694.out.log ----- Dec 03, 2022 12:42:29 PM org.apache.beam.runners.dataflow.DataflowPipelineJob lambda$waitUntilFinish$0 WARNING: Job is already running in Google Cloud Platform, Ctrl-C will not cancel it. To cancel the job in the cloud, run: > gcloud dataflow jobs --project=apache-beam-testing cancel > --region=us-central1 2022-12-03_04_38_28-11717450367541726203 Daemon vm is shutting down... The daemon has exited normally or was terminated in response to a user interrupt. Remove shutdown hook failed java.lang.IllegalStateException: Shutdown in progress at java.lang.ApplicationShutdownHooks.remove(ApplicationShutdownHooks.java:82) at java.lang.Runtime.removeShutdownHook(Runtime.java:231) at org.gradle.process.internal.shutdown.ShutdownHooks.removeShutdownHook(ShutdownHooks.java:38) at org.gradle.process.internal.DefaultExecHandle.setEndStateInfo(DefaultExecHandle.java:208) at org.gradle.process.internal.DefaultExecHandle.aborted(DefaultExecHandle.java:366) at org.gradle.process.internal.ExecHandleRunner.completed(ExecHandleRunner.java:108) at org.gradle.process.internal.ExecHandleRunner.run(ExecHandleRunner.java:84) at org.gradle.internal.operations.CurrentBuildOperationPreservingRunnable.run(CurrentBuildOperationPreservingRunnable.java:42) at org.gradle.internal.concurrent.ExecutorPolicy$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 --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
