See <https://ci-beam.apache.org/job/beam_LoadTests_Java_ParDo_Dataflow_V2_Streaming_Java11/416/display/redirect?page=changes>
Changes: [alexey.inkin] Fix retaining unsaved pipeline options (#22075) [108862444+oborysevych] removed VladMatyunin from beam collaborators [anandinguva98] Add stdlib distutils while building the wheels [noreply] Fix for #22631 KafkaIO considers readCommitted() as it would commit back [noreply] [CdapIO] Add CdapIO dashboard in Grafana (#22641) [noreply] Add information on how to take/close issues in the contribution guide. [noreply] Skip [noreply] Persist ghprbPullId parameter in seed job (#22579) [noreply] Adhoc: Fix logging in Spark runner to avoid unnecessary creation of ------------------------------------------ [...truncated 47.90 KB...] 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] e1edab366ac8: Preparing ef1be71ee4ba: Preparing dd2f668590b9: Preparing 649602b53c63: Preparing d3e9b2a81f80: Preparing 05dd1d7ef2de: Preparing 55acef9e212b: Preparing ae7f5640c5d3: Preparing bf1d50af80f9: Preparing 1d233ce0d5dc: Preparing 8544df4d61b9: Preparing 304d61823763: Preparing 1a1e11c71cea: Preparing 1c11e4b6e443: Preparing ae325b359d83: Preparing 7b7f3078e1db: Preparing 826c3ddbb29c: Preparing 304d61823763: Waiting bf1d50af80f9: Waiting 7b7f3078e1db: Waiting b626401ef603: Preparing 9b55156abf26: Preparing 293d5db30c9f: Preparing 03127cdb479b: Preparing 9c742cd6c7a5: Preparing b626401ef603: Waiting 826c3ddbb29c: Waiting 9b55156abf26: Waiting 55acef9e212b: Waiting ae7f5640c5d3: Waiting 293d5db30c9f: Waiting 1c11e4b6e443: Waiting 1a1e11c71cea: Waiting ae325b359d83: Waiting 649602b53c63: Pushed dd2f668590b9: Pushed d3e9b2a81f80: Pushed ef1be71ee4ba: Pushed e1edab366ac8: Pushed ae7f5640c5d3: Pushed 55acef9e212b: Pushed 1d233ce0d5dc: Pushed bf1d50af80f9: Pushed 05dd1d7ef2de: Pushed 304d61823763: Pushed 7b7f3078e1db: Layer already exists 8544df4d61b9: Pushed 826c3ddbb29c: Layer already exists b626401ef603: Layer already exists 9b55156abf26: Layer already exists 293d5db30c9f: Layer already exists 03127cdb479b: Layer already exists 9c742cd6c7a5: Layer already exists 1c11e4b6e443: Pushed ae325b359d83: Pushed 1a1e11c71cea: Pushed 20220810123727: digest: sha256:2dc95d30f5ebad029b0320aa9dee641213e0e0cf235193b2002eba32f118de4b size: 4935 > Task :sdks:java:testing:load-tests:run Aug 10, 2022 12:38:30 PM org.apache.beam.runners.dataflow.options.DataflowPipelineOptions$StagingLocationFactory create INFO: No stagingLocation provided, falling back to gcpTempLocation Aug 10, 2022 12:38:30 PM org.apache.beam.runners.dataflow.DataflowRunner fromOptions INFO: PipelineOptions.filesToStage was not specified. Defaulting to files from the classpath: will stage 222 files. Enable logging at DEBUG level to see which files will be staged. Aug 10, 2022 12:38:31 PM org.apache.beam.sdk.Pipeline validate WARNING: The following transforms do not have stable unique names: ParDo(TimeMonitor) Aug 10, 2022 12:38:31 PM org.apache.beam.runners.dataflow.DataflowRunner run INFO: Executing pipeline on the Dataflow Service, which will have billing implications related to Google Compute Engine usage and other Google Cloud Services. Aug 10, 2022 12:38:33 PM org.apache.beam.runners.dataflow.util.PackageUtil stageClasspathElements INFO: Uploading 222 files from PipelineOptions.filesToStage to staging location to prepare for execution. Aug 10, 2022 12:38:34 PM org.apache.beam.runners.dataflow.util.PackageUtil stageClasspathElements INFO: Staging files complete: 222 files cached, 0 files newly uploaded in 0 seconds Aug 10, 2022 12:38:34 PM org.apache.beam.runners.dataflow.DataflowRunner run INFO: Staging portable pipeline proto to gs://temp-storage-for-perf-tests/loadtests/staging/ Aug 10, 2022 12:38:34 PM org.apache.beam.runners.dataflow.util.PackageUtil tryStagePackage INFO: Uploading <115399 bytes, hash 9ecf209eebdb65a79f540ebd66b1c5f7943feaf0a0bc486ea674a332bb7a78c3> to gs://temp-storage-for-perf-tests/loadtests/staging/pipeline-ns8gnuvbZaefVA69ZrHF95Q_6vCgvEhupnSjMrt6eMM.pb Aug 10, 2022 12:38:35 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding Read input/DataflowRunner.StreamingUnboundedRead.ReadWithIds as step s1 Aug 10, 2022 12:38:35 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 10, 2022 12:38:36 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding Read input/StripIds as step s2 Aug 10, 2022 12:38:36 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding ParDo(TimeMonitor) as step s3 Aug 10, 2022 12:38:36 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding ParDo(ByteMonitor) as step s4 Aug 10, 2022 12:38:36 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding Step: 0 as step s5 Aug 10, 2022 12:38:36 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding Step: 1 as step s6 Aug 10, 2022 12:38:36 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding Step: 2 as step s7 Aug 10, 2022 12:38:36 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding Step: 3 as step s8 Aug 10, 2022 12:38:36 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding Step: 4 as step s9 Aug 10, 2022 12:38:36 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding Step: 5 as step s10 Aug 10, 2022 12:38:36 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding Step: 6 as step s11 Aug 10, 2022 12:38:36 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding Step: 7 as step s12 Aug 10, 2022 12:38:36 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding Step: 8 as step s13 Aug 10, 2022 12:38:36 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding Step: 9 as step s14 Aug 10, 2022 12:38:36 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding ParDo(TimeMonitor)2 as step s15 Aug 10, 2022 12:38:36 PM org.apache.beam.runners.dataflow.DataflowRunner run INFO: Dataflow SDK version: 2.42.0-SNAPSHOT Aug 10, 2022 12:38:36 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-central1/2022-08-10_05_38_36-5941627037225605561?project=apache-beam-testing Aug 10, 2022 12:38:36 PM org.apache.beam.runners.dataflow.DataflowRunner run INFO: Submitted job: 2022-08-10_05_38_36-5941627037225605561 Aug 10, 2022 12:38:36 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 2022-08-10_05_38_36-5941627037225605561 Aug 10, 2022 12:38:47 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process WARNING: 2022-08-10T12:38:42.796Z: The workflow name is not a valid Cloud Label. Labels applied to Cloud resources (such as GCE Instances) for monitoring will be labeled with this modified job name: load0tests0java110dataflow0v20streaming0pardo01-jenkins-08-pje3. For the best monitoring experience, please name your job with a valid Cloud Label. For details, see: https://cloud.google.com/compute/docs/labeling-resources#restrictions Aug 10, 2022 12:38:52 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-10T12:38:51.401Z: Worker configuration: e2-standard-2 in us-central1-a. Aug 10, 2022 12:38:52 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-10T12:38:52.291Z: Expanding SplittableParDo operations into optimizable parts. Aug 10, 2022 12:38:52 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-10T12:38:52.322Z: Expanding CollectionToSingleton operations into optimizable parts. Aug 10, 2022 12:38:52 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-10T12:38:52.391Z: Expanding CoGroupByKey operations into optimizable parts. Aug 10, 2022 12:38:52 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-10T12:38:52.430Z: Expanding SplittableProcessKeyed operations into optimizable parts. Aug 10, 2022 12:38:52 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-10T12:38:52.459Z: Expanding GroupByKey operations into streaming Read/Write steps Aug 10, 2022 12:38:52 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-10T12:38:52.484Z: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns Aug 10, 2022 12:38:52 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-10T12:38:52.544Z: Fusing adjacent ParDo, Read, Write, and Flatten operations Aug 10, 2022 12:38:52 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-10T12:38:52.571Z: Fusing consumer Read input/ParDo(OutputSingleSource)/ParMultiDo(OutputSingleSource) into Read input/Impulse Aug 10, 2022 12:38:54 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-10T12:38:52.604Z: Fusing consumer Read-input-ParDo-UnboundedSourceAsSDFWrapper--ParMultiDo-UnboundedSourceAsSDFWrapper-/PairWithRestriction into Read input/ParDo(OutputSingleSource)/ParMultiDo(OutputSingleSource) Aug 10, 2022 12:38:54 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-10T12:38:52.627Z: Fusing consumer Read-input-ParDo-UnboundedSourceAsSDFWrapper--ParMultiDo-UnboundedSourceAsSDFWrapper-/SplitWithSizing into Read-input-ParDo-UnboundedSourceAsSDFWrapper--ParMultiDo-UnboundedSourceAsSDFWrapper-/PairWithRestriction Aug 10, 2022 12:38:54 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-10T12:38:52.658Z: Fusing consumer Read input/ParDo(StripIds)/ParMultiDo(StripIds) into Read-input-ParDo-UnboundedSourceAsSDFWrapper--ParMultiDo-UnboundedSourceAsSDFWrapper-/ProcessElementAndRestrictionWithSizing Aug 10, 2022 12:38:54 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-10T12:38:52.687Z: Fusing consumer ParDo(TimeMonitor)/ParMultiDo(TimeMonitor) into Read input/ParDo(StripIds)/ParMultiDo(StripIds) Aug 10, 2022 12:38:54 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-10T12:38:52.722Z: Fusing consumer ParDo(ByteMonitor)/ParMultiDo(ByteMonitor) into ParDo(TimeMonitor)/ParMultiDo(TimeMonitor) Aug 10, 2022 12:38:54 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-10T12:38:52.758Z: Fusing consumer Step: 0/ParMultiDo(CounterOperation) into ParDo(ByteMonitor)/ParMultiDo(ByteMonitor) Aug 10, 2022 12:38:54 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-10T12:38:52.782Z: Fusing consumer Step: 1/ParMultiDo(CounterOperation) into Step: 0/ParMultiDo(CounterOperation) Aug 10, 2022 12:38:54 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-10T12:38:52.815Z: Fusing consumer Step: 2/ParMultiDo(CounterOperation) into Step: 1/ParMultiDo(CounterOperation) Aug 10, 2022 12:38:54 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-10T12:38:52.847Z: Fusing consumer Step: 3/ParMultiDo(CounterOperation) into Step: 2/ParMultiDo(CounterOperation) Aug 10, 2022 12:38:54 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-10T12:38:52.886Z: Fusing consumer Step: 4/ParMultiDo(CounterOperation) into Step: 3/ParMultiDo(CounterOperation) Aug 10, 2022 12:38:54 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-10T12:38:52.917Z: Fusing consumer Step: 5/ParMultiDo(CounterOperation) into Step: 4/ParMultiDo(CounterOperation) Aug 10, 2022 12:38:54 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-10T12:38:52.945Z: Fusing consumer Step: 6/ParMultiDo(CounterOperation) into Step: 5/ParMultiDo(CounterOperation) Aug 10, 2022 12:38:54 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-10T12:38:52.966Z: Fusing consumer Step: 7/ParMultiDo(CounterOperation) into Step: 6/ParMultiDo(CounterOperation) Aug 10, 2022 12:38:54 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-10T12:38:53.035Z: Fusing consumer Step: 8/ParMultiDo(CounterOperation) into Step: 7/ParMultiDo(CounterOperation) Aug 10, 2022 12:38:54 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-10T12:38:53.070Z: Fusing consumer Step: 9/ParMultiDo(CounterOperation) into Step: 8/ParMultiDo(CounterOperation) Aug 10, 2022 12:38:54 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-10T12:38:53.102Z: Fusing consumer ParDo(TimeMonitor)2/ParMultiDo(TimeMonitor) into Step: 9/ParMultiDo(CounterOperation) Aug 10, 2022 12:38:54 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-10T12:38:53.220Z: Running job using Streaming Engine Aug 10, 2022 12:38:54 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-10T12:38:53.426Z: Starting 5 ****s in us-central1-a... Aug 10, 2022 12:39:15 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-10T12:39:14.575Z: Your project already contains 100 Dataflow-created metric descriptors, so new user metrics of the form custom.googleapis.com/* will not be created. However, all user metrics are also available in the metric dataflow.googleapis.com/job/user_counter. If you rely on the custom metrics, you can delete old / unused metric descriptors. See https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.list and https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.delete Aug 10, 2022 12:39:32 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-10T12:39:30.891Z: 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 10, 2022 12:40:35 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-10T12:40:34.212Z: Workers have started successfully. Aug 10, 2022 12:42:10 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-10T12:42:09.445Z: Cleaning up. Aug 10, 2022 12:42:10 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-10T12:42:09.524Z: Stopping **** pool... Aug 10, 2022 12:42:10 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-10T12:42:09.581Z: Stopping **** pool... > 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=ecd6ad2a-8b34-4447-b9bb-d2c270ac459a, 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: 1596192 log file: /home/jenkins/.gradle/daemon/7.4/daemon-1596192.out.log ----- Last 20 lines from daemon log file - daemon-1596192.out.log ----- INFO: 2022-08-10T12:38:53.070Z: Fusing consumer Step: 9/ParMultiDo(CounterOperation) into Step: 8/ParMultiDo(CounterOperation) Aug 10, 2022 12:38:54 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-10T12:38:53.102Z: Fusing consumer ParDo(TimeMonitor)2/ParMultiDo(TimeMonitor) into Step: 9/ParMultiDo(CounterOperation) Aug 10, 2022 12:38:54 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-10T12:38:53.220Z: Running job using Streaming Engine Aug 10, 2022 12:38:54 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-10T12:38:53.426Z: Starting 5 ****s in us-central1-a... Aug 10, 2022 12:39:15 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-10T12:39:14.575Z: 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 10, 2022 12:39:32 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-10T12:39:30.891Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate. Aug 10, 2022 12:40:35 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-10T12:40:34.212Z: Workers have started successfully. Aug 10, 2022 12:42:10 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-10T12:42:09.445Z: Cleaning up. Aug 10, 2022 12:42:10 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-10T12:42:09.524Z: Stopping **** pool... Aug 10, 2022 12:42:10 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-08-10T12:42:09.581Z: Stopping **** pool... Daemon vm is shutting down... The daemon has exited normally or was terminated in response to a user interrupt. ----- 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]
