See <https://ci-beam.apache.org/job/beam_LoadTests_Java_ParDo_Dataflow_V2_Streaming_Java11/532/display/redirect?page=changes>
Changes: [noreply] Bump github.com/aws/aws-sdk-go-v2/service/s3 in /sdks (#24502) [noreply] Adding support for PubSub Lite in Schema Transforms (#24275) [noreply] Fix mispositioned producer_type_hints and producer_batch_converter [noreply] Update REVIEWERS.yml (#24507) ------------------------------------------ [...truncated 51.95 KB...] > 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] 0009bbd681bc: Preparing 9aafb1701194: Preparing 395f5fd36e1e: Preparing 41f769a1c09c: Preparing 1bd60402cef2: Preparing 0e279cad0d26: Preparing 6a0ec1df7b4e: Preparing 2e1721598881: Preparing 0376b2f860b7: Preparing bb11dcf9dccf: Preparing 0e7adeebe8b1: Preparing 1f54dc419e79: Preparing fe09e27d1327: Preparing 99df44e72cc5: Preparing a03316e186c6: Preparing 7b7f3078e1db: Preparing 826c3ddbb29c: Preparing 6a0ec1df7b4e: Waiting 2e1721598881: Waiting 0376b2f860b7: Waiting bb11dcf9dccf: Waiting b626401ef603: Preparing 9b55156abf26: Preparing a03316e186c6: Waiting 293d5db30c9f: Preparing fe09e27d1327: Waiting 03127cdb479b: Preparing 99df44e72cc5: Waiting 1f54dc419e79: Waiting 9c742cd6c7a5: Preparing 7b7f3078e1db: Waiting 0e7adeebe8b1: Waiting 826c3ddbb29c: Waiting b626401ef603: Waiting 293d5db30c9f: Waiting 03127cdb479b: Waiting 9c742cd6c7a5: Waiting 395f5fd36e1e: Pushed 41f769a1c09c: Pushed 1bd60402cef2: Pushed 9aafb1701194: Pushed 0009bbd681bc: Pushed 6a0ec1df7b4e: Pushed 2e1721598881: Pushed bb11dcf9dccf: Pushed 0e279cad0d26: Pushed 0376b2f860b7: Pushed 1f54dc419e79: Pushed 7b7f3078e1db: Layer already exists 826c3ddbb29c: Layer already exists b626401ef603: Layer already exists 0e7adeebe8b1: Pushed 9b55156abf26: Layer already exists 293d5db30c9f: Layer already exists 03127cdb479b: Layer already exists 9c742cd6c7a5: Layer already exists fe09e27d1327: Pushed 99df44e72cc5: Pushed a03316e186c6: Pushed 20221204123729: digest: sha256:0a8475454e53b0a5436d7ef59b01b0ea152e534b0f2fed51d8f79c7d5e32baed size: 4934 > Task :sdks:java:testing:load-tests:run Dec 04, 2022 12:38:22 PM org.apache.beam.runners.dataflow.options.DataflowPipelineOptions$StagingLocationFactory create INFO: No stagingLocation provided, falling back to gcpTempLocation Dec 04, 2022 12:38:23 PM org.apache.beam.runners.dataflow.DataflowRunner fromOptions INFO: PipelineOptions.filesToStage was not specified. Defaulting to files from the classpath: will stage 232 files. Enable logging at DEBUG level to see which files will be staged. Dec 04, 2022 12:38:23 PM org.apache.beam.sdk.Pipeline validate WARNING: The following transforms do not have stable unique names: ParDo(TimeMonitor) Dec 04, 2022 12:38:23 PM org.apache.beam.runners.dataflow.DataflowRunner run INFO: Executing pipeline on the Dataflow Service, which will have billing implications related to Google Compute Engine usage and other Google Cloud Services. Dec 04, 2022 12:38:25 PM org.apache.beam.runners.dataflow.util.PackageUtil stageClasspathElements INFO: Uploading 232 files from PipelineOptions.filesToStage to staging location to prepare for execution. Dec 04, 2022 12:38:26 PM org.apache.beam.runners.dataflow.util.PackageUtil stageClasspathElements INFO: Staging files complete: 232 files cached, 0 files newly uploaded in 0 seconds Dec 04, 2022 12:38:26 PM org.apache.beam.runners.dataflow.DataflowRunner run INFO: Staging portable pipeline proto to gs://temp-storage-for-perf-tests/loadtests/staging/ Dec 04, 2022 12:38:26 PM org.apache.beam.runners.dataflow.util.PackageUtil tryStagePackage INFO: Uploading <118764 bytes, hash 96df0485c5ec9b191cb60cc818458ba419f808544490651fba9cd6c136f90208> to gs://temp-storage-for-perf-tests/loadtests/staging/pipeline-lt8EhcXsmxkctgzIGEWLpBn4CFREkGUfupzWwTb5Agg.pb Dec 04, 2022 12:38:28 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding Read input/DataflowRunner.StreamingUnboundedRead.ReadWithIds as step s1 Dec 04, 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 04, 2022 12:38:28 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding Read input/StripIds as step s2 Dec 04, 2022 12:38:28 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding ParDo(TimeMonitor) as step s3 Dec 04, 2022 12:38:28 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding ParDo(ByteMonitor) as step s4 Dec 04, 2022 12:38:28 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding Step: 0 as step s5 Dec 04, 2022 12:38:28 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding Step: 1 as step s6 Dec 04, 2022 12:38:28 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding Step: 2 as step s7 Dec 04, 2022 12:38:28 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding Step: 3 as step s8 Dec 04, 2022 12:38:28 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding Step: 4 as step s9 Dec 04, 2022 12:38:28 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding Step: 5 as step s10 Dec 04, 2022 12:38:28 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding Step: 6 as step s11 Dec 04, 2022 12:38:28 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding Step: 7 as step s12 Dec 04, 2022 12:38:28 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding Step: 8 as step s13 Dec 04, 2022 12:38:28 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding Step: 9 as step s14 Dec 04, 2022 12:38:28 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding ParDo(TimeMonitor)2 as step s15 Dec 04, 2022 12:38:28 PM org.apache.beam.runners.dataflow.DataflowRunner run INFO: Dataflow SDK version: 2.45.0-SNAPSHOT Dec 04, 2022 12:38:28 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-central1/2022-12-04_04_38_28-3461798163534282088?project=apache-beam-testing Dec 04, 2022 12:38:28 PM org.apache.beam.runners.dataflow.DataflowRunner run INFO: Submitted job: 2022-12-04_04_38_28-3461798163534282088 Dec 04, 2022 12:38:28 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 2022-12-04_04_38_28-3461798163534282088 Dec 04, 2022 12:38:35 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process WARNING: 2022-12-04T12:38:33.953Z: The workflow name is not a valid Cloud Label. Labels applied to Cloud resources (such as GCE Instances) for monitoring will be labeled with this modified job name: load0tests0java110dataflow0v20streaming0pardo01-jenkins-12-abr9. For the best monitoring experience, please name your job with a valid Cloud Label. For details, see: https://cloud.google.com/compute/docs/labeling-resources#restrictions Dec 04, 2022 12:38:43 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-12-04T12:38:41.329Z: Worker configuration: e2-standard-2 in us-central1-b. Dec 04, 2022 12:38:43 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-12-04T12:38:42.767Z: Expanding SplittableParDo operations into optimizable parts. Dec 04, 2022 12:38:43 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-12-04T12:38:42.804Z: Expanding CollectionToSingleton operations into optimizable parts. Dec 04, 2022 12:38:43 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-12-04T12:38:42.876Z: Expanding CoGroupByKey operations into optimizable parts. Dec 04, 2022 12:38:43 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-12-04T12:38:42.920Z: Expanding SplittableProcessKeyed operations into optimizable parts. Dec 04, 2022 12:38:43 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-12-04T12:38:42.954Z: Expanding GroupByKey operations into streaming Read/Write steps Dec 04, 2022 12:38:43 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-12-04T12:38:42.984Z: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns Dec 04, 2022 12:38:43 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-12-04T12:38:43.050Z: Fusing adjacent ParDo, Read, Write, and Flatten operations Dec 04, 2022 12:38:43 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-12-04T12:38:43.083Z: Fusing consumer Read input/ParDo(OutputSingleSource)/ParMultiDo(OutputSingleSource) into Read input/Impulse Dec 04, 2022 12:38:43 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-12-04T12:38:43.113Z: Fusing consumer Read-input-ParDo-UnboundedSourceAsSDFWrapper--ParMultiDo-UnboundedSourceAsSDFWrapper-/PairWithRestriction into Read input/ParDo(OutputSingleSource)/ParMultiDo(OutputSingleSource) Dec 04, 2022 12:38:43 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-12-04T12:38:43.137Z: Fusing consumer Read-input-ParDo-UnboundedSourceAsSDFWrapper--ParMultiDo-UnboundedSourceAsSDFWrapper-/SplitWithSizing into Read-input-ParDo-UnboundedSourceAsSDFWrapper--ParMultiDo-UnboundedSourceAsSDFWrapper-/PairWithRestriction Dec 04, 2022 12:38:43 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-12-04T12:38:43.165Z: Fusing consumer Read input/ParDo(StripIds)/ParMultiDo(StripIds) into Read-input-ParDo-UnboundedSourceAsSDFWrapper--ParMultiDo-UnboundedSourceAsSDFWrapper-/ProcessElementAndRestrictionWithSizing Dec 04, 2022 12:38:43 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-12-04T12:38:43.202Z: Fusing consumer ParDo(TimeMonitor)/ParMultiDo(TimeMonitor) into Read input/ParDo(StripIds)/ParMultiDo(StripIds) Dec 04, 2022 12:38:45 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-12-04T12:38:43.238Z: Fusing consumer ParDo(ByteMonitor)/ParMultiDo(ByteMonitor) into ParDo(TimeMonitor)/ParMultiDo(TimeMonitor) Dec 04, 2022 12:38:45 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-12-04T12:38:43.270Z: Fusing consumer Step: 0/ParMultiDo(CounterOperation) into ParDo(ByteMonitor)/ParMultiDo(ByteMonitor) Dec 04, 2022 12:38:45 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-12-04T12:38:43.301Z: Fusing consumer Step: 1/ParMultiDo(CounterOperation) into Step: 0/ParMultiDo(CounterOperation) Dec 04, 2022 12:38:45 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-12-04T12:38:43.337Z: Fusing consumer Step: 2/ParMultiDo(CounterOperation) into Step: 1/ParMultiDo(CounterOperation) Dec 04, 2022 12:38:45 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-12-04T12:38:43.362Z: Fusing consumer Step: 3/ParMultiDo(CounterOperation) into Step: 2/ParMultiDo(CounterOperation) Dec 04, 2022 12:38:45 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-12-04T12:38:43.392Z: Fusing consumer Step: 4/ParMultiDo(CounterOperation) into Step: 3/ParMultiDo(CounterOperation) Dec 04, 2022 12:38:45 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-12-04T12:38:43.424Z: Fusing consumer Step: 5/ParMultiDo(CounterOperation) into Step: 4/ParMultiDo(CounterOperation) Dec 04, 2022 12:38:45 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-12-04T12:38:43.458Z: Fusing consumer Step: 6/ParMultiDo(CounterOperation) into Step: 5/ParMultiDo(CounterOperation) Dec 04, 2022 12:38:45 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-12-04T12:38:43.495Z: Fusing consumer Step: 7/ParMultiDo(CounterOperation) into Step: 6/ParMultiDo(CounterOperation) Dec 04, 2022 12:38:45 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-12-04T12:38:43.531Z: Fusing consumer Step: 8/ParMultiDo(CounterOperation) into Step: 7/ParMultiDo(CounterOperation) Dec 04, 2022 12:38:45 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-12-04T12:38:43.562Z: Fusing consumer Step: 9/ParMultiDo(CounterOperation) into Step: 8/ParMultiDo(CounterOperation) Dec 04, 2022 12:38:45 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-12-04T12:38:43.597Z: Fusing consumer ParDo(TimeMonitor)2/ParMultiDo(TimeMonitor) into Step: 9/ParMultiDo(CounterOperation) Dec 04, 2022 12:38:45 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-12-04T12:38:43.705Z: Running job using Streaming Engine Dec 04, 2022 12:38:45 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-12-04T12:38:44.950Z: Starting 5 ****s in us-central1-b... Dec 04, 2022 12:39:03 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-12-04T12:39:02.926Z: Your project already contains 100 Dataflow-created metric descriptors, so new user metrics of the form custom.googleapis.com/* will not be created. However, all user metrics are also available in the metric dataflow.googleapis.com/job/user_counter. If you rely on the custom metrics, you can delete old / unused metric descriptors. See https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.list and https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.delete Dec 04, 2022 12:39:19 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-12-04T12:39:18.099Z: Autoscaling: Raised the number of ****s to 2 so that the pipeline can catch up with its backlog and keep up with its input rate. Dec 04, 2022 12:39:19 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-12-04T12:39:18.120Z: Autoscaling: Resized **** pool to 2, though goal was 5. This could be a quota issue. Dec 04, 2022 12:39:29 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-12-04T12:39:27.555Z: 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 04, 2022 12:40:29 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-12-04T12:40:28.617Z: Workers have started successfully. Dec 04, 2022 12:40:29 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-12-04T12:40:29.019Z: All ****s have finished the startup processes and began to receive work requests. Dec 04, 2022 12:42:00 PM org.apache.beam.runners.dataflow.DataflowPipelineJob lambda$waitUntilFinish$0 WARNING: Job is already running in Google Cloud Platform, Ctrl-C will not cancel it. To cancel the job in the cloud, run: > gcloud dataflow jobs --project=apache-beam-testing cancel > --region=us-central1 2022-12-04_04_38_28-3461798163534282088 > Task :sdks:java:testing:load-tests:run FAILED The message received from the daemon indicates that the daemon has disappeared. Build request sent: Build{id=858bc1e8-8c7a-49c6-8348-7794c2774946, currentDir=<https://ci-beam.apache.org/job/beam_LoadTests_Java_ParDo_Dataflow_V2_Streaming_Java11/ws/src}> Attempting to read last messages from the daemon log... Daemon pid: 152655 log file: /home/jenkins/.gradle/daemon/7.5.1/daemon-152655.out.log ----- Last 20 lines from daemon log file - daemon-152655.out.log ----- Dec 04, 2022 12:42:00 PM org.apache.beam.runners.dataflow.DataflowPipelineJob lambda$waitUntilFinish$0 WARNING: Job is already running in Google Cloud Platform, Ctrl-C will not cancel it. To cancel the job in the cloud, run: > gcloud dataflow jobs --project=apache-beam-testing cancel > --region=us-central1 2022-12-04_04_38_28-3461798163534282088 Daemon vm is shutting down... The daemon has exited normally or was terminated in response to a user interrupt. Remove shutdown hook failed java.lang.IllegalStateException: Shutdown in progress at java.lang.ApplicationShutdownHooks.remove(ApplicationShutdownHooks.java:82) at java.lang.Runtime.removeShutdownHook(Runtime.java:231) at org.gradle.process.internal.shutdown.ShutdownHooks.removeShutdownHook(ShutdownHooks.java:38) at org.gradle.process.internal.DefaultExecHandle.setEndStateInfo(DefaultExecHandle.java:208) at org.gradle.process.internal.DefaultExecHandle.aborted(DefaultExecHandle.java:366) at org.gradle.process.internal.ExecHandleRunner.completed(ExecHandleRunner.java:108) at org.gradle.process.internal.ExecHandleRunner.run(ExecHandleRunner.java:84) at org.gradle.internal.operations.CurrentBuildOperationPreservingRunnable.run(CurrentBuildOperationPreservingRunnable.java:42) at org.gradle.internal.concurrent.ExecutorPolicy$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]
