See <https://ci-beam.apache.org/job/beam_LoadTests_Java_ParDo_Dataflow_V2_Streaming_Java11/454/display/redirect?page=changes>
Changes: [noreply] Bump cloud.google.com/go/bigquery from 1.40.0 to 1.41.0 in /sdks [noreply] [Website] Correct spelling of structural (#23225) [noreply] TensorRT Initial commit (#22131) [noreply] Fix Kafka performance test sourceOption to match expected hash (#23274) [noreply] updated the pydoc for running a custom model on Beam (#23218) ------------------------------------------ [...truncated 48.00 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/7.5.1/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/7.5.1/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] e352ca638765: Preparing 301374aedabd: Preparing 2433c1bbf544: Preparing 2783b16d0783: Preparing e720128aed3f: Preparing 467060bd4be2: Preparing 187b20f24d3d: Preparing eb0a90b1cd0a: Preparing 02ac8655e016: Preparing e30f9cf44e3e: Preparing 86a982409fcd: Preparing d92a2b8450fa: Preparing 8529d627d6dc: Preparing 1fc2c070dd27: Preparing 467060bd4be2: Waiting 67316d41595e: Preparing 7b7f3078e1db: Preparing 8529d627d6dc: Waiting 826c3ddbb29c: Preparing eb0a90b1cd0a: Waiting 02ac8655e016: Waiting e30f9cf44e3e: Waiting b626401ef603: Preparing 9b55156abf26: Preparing 293d5db30c9f: Preparing 67316d41595e: Waiting 03127cdb479b: Preparing 9c742cd6c7a5: Preparing 826c3ddbb29c: Waiting d92a2b8450fa: Waiting 7b7f3078e1db: Waiting 86a982409fcd: Waiting b626401ef603: Waiting 1fc2c070dd27: Waiting 03127cdb479b: Waiting 9b55156abf26: Waiting 9c742cd6c7a5: Waiting 187b20f24d3d: Waiting 2433c1bbf544: Pushed 2783b16d0783: Pushed 301374aedabd: Pushed e720128aed3f: Pushed e352ca638765: Pushed 187b20f24d3d: Pushed eb0a90b1cd0a: Pushed e30f9cf44e3e: Pushed 02ac8655e016: Pushed 467060bd4be2: Pushed d92a2b8450fa: Pushed 86a982409fcd: Pushed 7b7f3078e1db: Layer already exists 826c3ddbb29c: Layer already exists b626401ef603: Layer already exists 9b55156abf26: Layer already exists 03127cdb479b: Layer already exists 293d5db30c9f: Layer already exists 9c742cd6c7a5: Layer already exists 1fc2c070dd27: Pushed 67316d41595e: Pushed 8529d627d6dc: Pushed 20220917123733: digest: sha256:67992c61bd9195b15224de547e4e728949b1e6477bd28efb865b6859eaf865e2 size: 4935 > Task :sdks:java:testing:load-tests:run Sep 17, 2022 12:38:51 PM org.apache.beam.runners.dataflow.options.DataflowPipelineOptions$StagingLocationFactory create INFO: No stagingLocation provided, falling back to gcpTempLocation Sep 17, 2022 12:38:52 PM org.apache.beam.runners.dataflow.DataflowRunner fromOptions INFO: PipelineOptions.filesToStage was not specified. Defaulting to files from the classpath: will stage 227 files. Enable logging at DEBUG level to see which files will be staged. Sep 17, 2022 12:38:52 PM org.apache.beam.sdk.Pipeline validate WARNING: The following transforms do not have stable unique names: ParDo(TimeMonitor) Sep 17, 2022 12:38:52 PM org.apache.beam.runners.dataflow.DataflowRunner run INFO: Executing pipeline on the Dataflow Service, which will have billing implications related to Google Compute Engine usage and other Google Cloud Services. Sep 17, 2022 12:38:55 PM org.apache.beam.runners.dataflow.util.PackageUtil stageClasspathElements INFO: Uploading 227 files from PipelineOptions.filesToStage to staging location to prepare for execution. Sep 17, 2022 12:38:55 PM org.apache.beam.runners.dataflow.util.PackageUtil stageClasspathElements INFO: Staging files complete: 227 files cached, 0 files newly uploaded in 0 seconds Sep 17, 2022 12:38:55 PM org.apache.beam.runners.dataflow.DataflowRunner run INFO: Staging portable pipeline proto to gs://temp-storage-for-perf-tests/loadtests/staging/ Sep 17, 2022 12:38:55 PM org.apache.beam.runners.dataflow.util.PackageUtil tryStagePackage INFO: Uploading <117102 bytes, hash ee8876048eaf88b9e8f55de57387bac6872242882aff5cab73318398a90683b4> to gs://temp-storage-for-perf-tests/loadtests/staging/pipeline-7oh2BI6viLno9V3lc4e6xociQogq_1yrczGDmKkGg7Q.pb Sep 17, 2022 12:38:57 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding Read input/DataflowRunner.StreamingUnboundedRead.ReadWithIds as step s1 Sep 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}] Sep 17, 2022 12:38:57 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding Read input/StripIds as step s2 Sep 17, 2022 12:38:57 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding ParDo(TimeMonitor) as step s3 Sep 17, 2022 12:38:57 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding ParDo(ByteMonitor) as step s4 Sep 17, 2022 12:38:57 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding Step: 0 as step s5 Sep 17, 2022 12:38:57 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding Step: 1 as step s6 Sep 17, 2022 12:38:57 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding Step: 2 as step s7 Sep 17, 2022 12:38:57 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding Step: 3 as step s8 Sep 17, 2022 12:38:57 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding Step: 4 as step s9 Sep 17, 2022 12:38:57 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding Step: 5 as step s10 Sep 17, 2022 12:38:57 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding Step: 6 as step s11 Sep 17, 2022 12:38:58 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding Step: 7 as step s12 Sep 17, 2022 12:38:58 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding Step: 8 as step s13 Sep 17, 2022 12:38:58 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding Step: 9 as step s14 Sep 17, 2022 12:38:58 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding ParDo(TimeMonitor)2 as step s15 Sep 17, 2022 12:38:58 PM org.apache.beam.runners.dataflow.DataflowRunner run INFO: Dataflow SDK version: 2.43.0-SNAPSHOT Sep 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-central1/2022-09-17_05_38_58-1260070018659372363?project=apache-beam-testing Sep 17, 2022 12:38:58 PM org.apache.beam.runners.dataflow.DataflowRunner run INFO: Submitted job: 2022-09-17_05_38_58-1260070018659372363 Sep 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 2022-09-17_05_38_58-1260070018659372363 Sep 17, 2022 12:39:10 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process WARNING: 2022-09-17T12:39:03.514Z: The workflow name is not a valid Cloud Label. Labels applied to Cloud resources (such as GCE Instances) for monitoring will be labeled with this modified job name: load0tests0java110dataflow0v20streaming0pardo01-jenkins-09-zu2a. For the best monitoring experience, please name your job with a valid Cloud Label. For details, see: https://cloud.google.com/compute/docs/labeling-resources#restrictions Sep 17, 2022 12:39:20 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-09-17T12:39:15.512Z: Worker configuration: e2-standard-2 in us-central1-a. Sep 17, 2022 12:39:23 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-09-17T12:39:21.673Z: Expanding SplittableParDo operations into optimizable parts. Sep 17, 2022 12:39:23 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-09-17T12:39:23.285Z: Expanding CollectionToSingleton operations into optimizable parts. Sep 17, 2022 12:39:23 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-09-17T12:39:23.372Z: Expanding CoGroupByKey operations into optimizable parts. Sep 17, 2022 12:39:23 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-09-17T12:39:23.420Z: Expanding SplittableProcessKeyed operations into optimizable parts. Sep 17, 2022 12:39:23 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-09-17T12:39:23.454Z: Expanding GroupByKey operations into streaming Read/Write steps Sep 17, 2022 12:39:23 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-09-17T12:39:23.491Z: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns Sep 17, 2022 12:39:23 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-09-17T12:39:23.581Z: Fusing adjacent ParDo, Read, Write, and Flatten operations Sep 17, 2022 12:39:23 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-09-17T12:39:23.609Z: Fusing consumer Read input/ParDo(OutputSingleSource)/ParMultiDo(OutputSingleSource) into Read input/Impulse Sep 17, 2022 12:39:23 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-09-17T12:39:23.635Z: Fusing consumer Read-input-ParDo-UnboundedSourceAsSDFWrapper--ParMultiDo-UnboundedSourceAsSDFWrapper-/PairWithRestriction into Read input/ParDo(OutputSingleSource)/ParMultiDo(OutputSingleSource) Sep 17, 2022 12:39:26 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-09-17T12:39:23.670Z: Fusing consumer Read-input-ParDo-UnboundedSourceAsSDFWrapper--ParMultiDo-UnboundedSourceAsSDFWrapper-/SplitWithSizing into Read-input-ParDo-UnboundedSourceAsSDFWrapper--ParMultiDo-UnboundedSourceAsSDFWrapper-/PairWithRestriction Sep 17, 2022 12:39:26 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-09-17T12:39:23.725Z: Fusing consumer Read input/ParDo(StripIds)/ParMultiDo(StripIds) into Read-input-ParDo-UnboundedSourceAsSDFWrapper--ParMultiDo-UnboundedSourceAsSDFWrapper-/ProcessElementAndRestrictionWithSizing Sep 17, 2022 12:39:26 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-09-17T12:39:23.751Z: Fusing consumer ParDo(TimeMonitor)/ParMultiDo(TimeMonitor) into Read input/ParDo(StripIds)/ParMultiDo(StripIds) Sep 17, 2022 12:39:26 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-09-17T12:39:23.783Z: Fusing consumer ParDo(ByteMonitor)/ParMultiDo(ByteMonitor) into ParDo(TimeMonitor)/ParMultiDo(TimeMonitor) Sep 17, 2022 12:39:26 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-09-17T12:39:23.863Z: Fusing consumer Step: 0/ParMultiDo(CounterOperation) into ParDo(ByteMonitor)/ParMultiDo(ByteMonitor) Sep 17, 2022 12:39:26 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-09-17T12:39:23.898Z: Fusing consumer Step: 1/ParMultiDo(CounterOperation) into Step: 0/ParMultiDo(CounterOperation) Sep 17, 2022 12:39:26 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-09-17T12:39:23.939Z: Fusing consumer Step: 2/ParMultiDo(CounterOperation) into Step: 1/ParMultiDo(CounterOperation) Sep 17, 2022 12:39:26 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-09-17T12:39:23.968Z: Fusing consumer Step: 3/ParMultiDo(CounterOperation) into Step: 2/ParMultiDo(CounterOperation) Sep 17, 2022 12:39:26 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-09-17T12:39:24.024Z: Fusing consumer Step: 4/ParMultiDo(CounterOperation) into Step: 3/ParMultiDo(CounterOperation) Sep 17, 2022 12:39:26 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-09-17T12:39:24.051Z: Fusing consumer Step: 5/ParMultiDo(CounterOperation) into Step: 4/ParMultiDo(CounterOperation) Sep 17, 2022 12:39:26 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-09-17T12:39:24.084Z: Fusing consumer Step: 6/ParMultiDo(CounterOperation) into Step: 5/ParMultiDo(CounterOperation) Sep 17, 2022 12:39:26 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-09-17T12:39:24.116Z: Fusing consumer Step: 7/ParMultiDo(CounterOperation) into Step: 6/ParMultiDo(CounterOperation) Sep 17, 2022 12:39:26 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-09-17T12:39:24.149Z: Fusing consumer Step: 8/ParMultiDo(CounterOperation) into Step: 7/ParMultiDo(CounterOperation) Sep 17, 2022 12:39:26 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-09-17T12:39:24.186Z: Fusing consumer Step: 9/ParMultiDo(CounterOperation) into Step: 8/ParMultiDo(CounterOperation) Sep 17, 2022 12:39:26 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-09-17T12:39:24.217Z: Fusing consumer ParDo(TimeMonitor)2/ParMultiDo(TimeMonitor) into Step: 9/ParMultiDo(CounterOperation) Sep 17, 2022 12:39:26 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-09-17T12:39:24.316Z: Running job using Streaming Engine Sep 17, 2022 12:39:26 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-09-17T12:39:24.539Z: Starting 5 ****s in us-central1-a... Sep 17, 2022 12:39:39 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-09-17T12:39:37.900Z: Your project already contains 100 Dataflow-created metric descriptors, so new user metrics of the form custom.googleapis.com/* will not be created. However, all user metrics are also available in the metric dataflow.googleapis.com/job/user_counter. If you rely on the custom metrics, you can delete old / unused metric descriptors. See https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.list and https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.delete Sep 17, 2022 12:40:05 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-09-17T12:40:05.460Z: 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. Sep 17, 2022 12:41:14 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-09-17T12:41:12.891Z: Workers have started successfully. > Task :sdks:java:testing:load-tests:run FAILED The message received from the daemon indicates that the daemon has disappeared. Build request sent: Build{id=b3956e93-5c89-4bdd-a6a0-1c8ae0ae38a6, currentDir=<https://ci-beam.apache.org/job/beam_LoadTests_Java_ParDo_Dataflow_V2_Streaming_Java11/ws/src}> Attempting to read last messages from the daemon log... Daemon pid: 300088 log file: /home/jenkins/.gradle/daemon/7.5.1/daemon-300088.out.log ----- Last 20 lines from daemon log file - daemon-300088.out.log ----- INFO: 2022-09-17T12:39:24.084Z: Fusing consumer Step: 6/ParMultiDo(CounterOperation) into Step: 5/ParMultiDo(CounterOperation) Sep 17, 2022 12:39:26 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-09-17T12:39:24.116Z: Fusing consumer Step: 7/ParMultiDo(CounterOperation) into Step: 6/ParMultiDo(CounterOperation) Sep 17, 2022 12:39:26 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-09-17T12:39:24.149Z: Fusing consumer Step: 8/ParMultiDo(CounterOperation) into Step: 7/ParMultiDo(CounterOperation) Sep 17, 2022 12:39:26 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-09-17T12:39:24.186Z: Fusing consumer Step: 9/ParMultiDo(CounterOperation) into Step: 8/ParMultiDo(CounterOperation) Sep 17, 2022 12:39:26 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-09-17T12:39:24.217Z: Fusing consumer ParDo(TimeMonitor)2/ParMultiDo(TimeMonitor) into Step: 9/ParMultiDo(CounterOperation) Sep 17, 2022 12:39:26 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-09-17T12:39:24.316Z: Running job using Streaming Engine Sep 17, 2022 12:39:26 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-09-17T12:39:24.539Z: Starting 5 ****s in us-central1-a... Sep 17, 2022 12:39:39 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-09-17T12:39:37.900Z: 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 Sep 17, 2022 12:40:05 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-09-17T12:40:05.460Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate. Sep 17, 2022 12:41:14 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-09-17T12:41:12.891Z: Workers have started successfully. 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]
