See <https://ci-beam.apache.org/job/beam_LoadTests_Java_ParDo_Dataflow_V2_Streaming_Java11/246/display/redirect?page=changes>
Changes: [rogelio.hernandez] [BEAM-13051] Pylint misplaced-bare-raise warning enabled [rogelio.hernandez] [BEAM-13051] Added descriptions to Kinesis and PortableRunner exceptions [thiagotnunes] fix: fix bug when retrieving either string or json [noreply] [BEAM-13812] Integrate DataprocClusterManager into Interactive [noreply] [BEAM-12572] Fix failing python examples tests in Dataflow runner [noreply] Remove build status from PR (#16902) ------------------------------------------ [...truncated 283.66 KB...] > Task :runners:core-construction-java:jar UP-TO-DATE > Task :runners:core-java:compileJava UP-TO-DATE > Task :runners:core-java:classes UP-TO-DATE > Task :runners:core-java:jar UP-TO-DATE > Task :sdks:java:extensions:google-cloud-platform-core:compileJava UP-TO-DATE > Task :sdks:java:extensions:google-cloud-platform-core:classes UP-TO-DATE > Task :sdks:java:extensions:google-cloud-platform-core:jar UP-TO-DATE > Task :sdks:java:harness:compileJava UP-TO-DATE > Task :sdks:java:harness:classes UP-TO-DATE > Task :sdks:java:harness:jar UP-TO-DATE > Task :runners:java-fn-execution:compileJava UP-TO-DATE > Task :runners:java-fn-execution:classes UP-TO-DATE > Task :runners:java-fn-execution:jar UP-TO-DATE > Task :sdks:java:harness:shadowJar UP-TO-DATE > Task :sdks:java:expansion-service:compileJava UP-TO-DATE > Task :sdks:java:expansion-service:classes UP-TO-DATE > Task :sdks:java:expansion-service:jar UP-TO-DATE > Task :sdks:java:io:kafka:compileJava UP-TO-DATE > Task :sdks:java:io:kafka:classes UP-TO-DATE > Task :sdks:java:io:kafka:jar UP-TO-DATE > Task :sdks:java:container:java11:copyDockerfileDependencies UP-TO-DATE > Task :sdks:java:io:google-cloud-platform:compileJava UP-TO-DATE > Task :sdks:java:io:google-cloud-platform:classes UP-TO-DATE > Task :sdks:java:io:google-cloud-platform:jar UP-TO-DATE > Task :sdks:java:testing:load-tests:compileJava UP-TO-DATE > Task :sdks:java:testing:load-tests:classes UP-TO-DATE > Task :runners:google-cloud-dataflow-java:compileJava UP-TO-DATE > Task :runners:google-cloud-dataflow-java:classes UP-TO-DATE > Task :sdks:java:testing:load-tests:jar UP-TO-DATE > Task :runners:google-cloud-dataflow-java:jar UP-TO-DATE > Task :sdks:java:container:goBuild /home/jenkins/go/bin/go1.16.12 build -o ./build/target/linux_amd64/boot boot.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/7.3.2/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/7.3.2/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] 4770b9bfa239: Preparing d564b9a3377b: Preparing 131750f030ad: Preparing 2d1988b20c6a: Preparing e01f5b4caa97: Preparing 6a4514174768: Preparing fc673c7ff4b7: Preparing 74900e494e8b: Preparing fcf5f374db6e: Preparing dc55f5ce83f2: Preparing ce740f466853: Preparing e3873738815e: Preparing 4a0bc0dfce02: Preparing fe4f44af763d: Preparing 7c072cee6a29: Preparing 1e5fdc3d671c: Preparing 613ab28cf833: Preparing bed676ceab7a: Preparing 6398d5cccd2c: Preparing 0b0f2f2f5279: Preparing ce740f466853: Waiting e3873738815e: Waiting fc673c7ff4b7: Waiting 4a0bc0dfce02: Waiting fe4f44af763d: Waiting 74900e494e8b: Waiting 7c072cee6a29: Waiting fcf5f374db6e: Waiting 1e5fdc3d671c: Waiting 0b0f2f2f5279: Waiting dc55f5ce83f2: Waiting 613ab28cf833: Waiting bed676ceab7a: Waiting 6a4514174768: Waiting d564b9a3377b: Pushed e01f5b4caa97: Pushed 131750f030ad: Pushed 4770b9bfa239: Pushed 6a4514174768: Pushed 74900e494e8b: Pushed 2d1988b20c6a: Pushed dc55f5ce83f2: Pushed fcf5f374db6e: Pushed fc673c7ff4b7: Pushed fe4f44af763d: Layer already exists 7c072cee6a29: Layer already exists e3873738815e: Pushed 1e5fdc3d671c: Layer already exists bed676ceab7a: Layer already exists 6398d5cccd2c: Layer already exists 0b0f2f2f5279: Layer already exists 613ab28cf833: Layer already exists 4a0bc0dfce02: Pushed ce740f466853: Pushed 20220219131850: digest: sha256:3f8202ba23f945be827d222d2eebbff068ee3f55cc8ae6d389fe5e5f1940e8ec size: 4520 > Task :sdks:java:testing:load-tests:run Feb 19, 2022 1:19:25 PM org.apache.beam.runners.dataflow.options.DataflowPipelineOptions$StagingLocationFactory create INFO: No stagingLocation provided, falling back to gcpTempLocation Feb 19, 2022 1:19:26 PM org.apache.beam.runners.dataflow.DataflowRunner fromOptions INFO: PipelineOptions.filesToStage was not specified. Defaulting to files from the classpath: will stage 204 files. Enable logging at DEBUG level to see which files will be staged. Feb 19, 2022 1:19:26 PM org.apache.beam.sdk.Pipeline validate WARNING: The following transforms do not have stable unique names: ParDo(TimeMonitor) Feb 19, 2022 1:19:26 PM org.apache.beam.runners.dataflow.DataflowRunner run INFO: Executing pipeline on the Dataflow Service, which will have billing implications related to Google Compute Engine usage and other Google Cloud Services. Feb 19, 2022 1:19:29 PM org.apache.beam.runners.dataflow.util.PackageUtil stageClasspathElements INFO: Uploading 204 files from PipelineOptions.filesToStage to staging location to prepare for execution. Feb 19, 2022 1:19:29 PM org.apache.beam.runners.dataflow.util.PackageUtil stageClasspathElements INFO: Staging files complete: 204 files cached, 0 files newly uploaded in 0 seconds Feb 19, 2022 1:19:29 PM org.apache.beam.runners.dataflow.DataflowRunner run INFO: Staging portable pipeline proto to gs://temp-storage-for-perf-tests/loadtests/staging/ Feb 19, 2022 1:19:29 PM org.apache.beam.runners.dataflow.util.PackageUtil tryStagePackage INFO: Uploading <89943 bytes, hash 156cfeac3d061b823ba72818572c21d48bc12c4ec17cd8e11f51863068701f1d> to gs://temp-storage-for-perf-tests/loadtests/staging/pipeline-FWz-rD0GG4I7pygYVywh1IvBLE7BfNjhH1GGMGhwHx0.pb Feb 19, 2022 1:19:31 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding Read input/DataflowRunner.StreamingUnboundedRead.ReadWithIds as step s1 Feb 19, 2022 1:19:31 PM org.apache.beam.sdk.io.synthetic.SyntheticUnboundedSource split INFO: Split into 20 bundles of sizes: [org.apache.beam.sdk.io.synthetic.SyntheticUnboundedSource@5bc28f40, org.apache.beam.sdk.io.synthetic.SyntheticUnboundedSource@46963479, org.apache.beam.sdk.io.synthetic.SyntheticUnboundedSource@7e74a380, org.apache.beam.sdk.io.synthetic.SyntheticUnboundedSource@6dd1c3ed, org.apache.beam.sdk.io.synthetic.SyntheticUnboundedSource@22a6e998, org.apache.beam.sdk.io.synthetic.SyntheticUnboundedSource@55e42449, org.apache.beam.sdk.io.synthetic.SyntheticUnboundedSource@e57e5d6, org.apache.beam.sdk.io.synthetic.SyntheticUnboundedSource@6dfa915a, org.apache.beam.sdk.io.synthetic.SyntheticUnboundedSource@78054f54, org.apache.beam.sdk.io.synthetic.SyntheticUnboundedSource@cb7fa71, org.apache.beam.sdk.io.synthetic.SyntheticUnboundedSource@3dffc764, org.apache.beam.sdk.io.synthetic.SyntheticUnboundedSource@4b6e1c0, org.apache.beam.sdk.io.synthetic.SyntheticUnboundedSource@561b61ed, org.apache.beam.sdk.io.synthetic.SyntheticUnboundedSource@654c7d2d, org.apache.beam.sdk.io.synthetic.SyntheticUnboundedSource@26cb5207, org.apache.beam.sdk.io.synthetic.SyntheticUnboundedSource@15400fff, org.apache.beam.sdk.io.synthetic.SyntheticUnboundedSource@18d910b3, org.apache.beam.sdk.io.synthetic.SyntheticUnboundedSource@1e7ab390, org.apache.beam.sdk.io.synthetic.SyntheticUnboundedSource@625d9132, org.apache.beam.sdk.io.synthetic.SyntheticUnboundedSource@77774571] Feb 19, 2022 1:19:31 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding Read input/StripIds as step s2 Feb 19, 2022 1:19:31 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding ParDo(TimeMonitor) as step s3 Feb 19, 2022 1:19:31 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding ParDo(ByteMonitor) as step s4 Feb 19, 2022 1:19:31 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding Step: 0 as step s5 Feb 19, 2022 1:19:31 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding ParDo(TimeMonitor)2 as step s6 Feb 19, 2022 1:19:31 PM org.apache.beam.runners.dataflow.DataflowRunner run INFO: Dataflow SDK version: 2.38.0-SNAPSHOT Feb 19, 2022 1:19:31 PM org.apache.beam.runners.dataflow.DataflowRunner run INFO: To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2022-02-19_05_19_31-14002583427652667600?project=apache-beam-testing Feb 19, 2022 1:19:31 PM org.apache.beam.runners.dataflow.DataflowRunner run INFO: Submitted job: 2022-02-19_05_19_31-14002583427652667600 Feb 19, 2022 1:19:31 PM org.apache.beam.runners.dataflow.DataflowRunner run INFO: To cancel the job using the 'gcloud' tool, run: > gcloud dataflow jobs --project=apache-beam-testing cancel > --region=us-central1 2022-02-19_05_19_31-14002583427652667600 Feb 19, 2022 1:19:38 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process WARNING: 2022-02-19T13:19:37.635Z: 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: load0tests0java110dataflow0v20streaming0pardo04-jenkins-02-nytc. 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 Feb 19, 2022 1:19:42 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-19T13:19:41.792Z: Worker configuration: e2-standard-2 in us-central1-b. Feb 19, 2022 1:19:42 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-19T13:19:42.467Z: Expanding SplittableParDo operations into optimizable parts. Feb 19, 2022 1:19:42 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-19T13:19:42.499Z: Expanding CollectionToSingleton operations into optimizable parts. Feb 19, 2022 1:19:42 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-19T13:19:42.564Z: Expanding CoGroupByKey operations into optimizable parts. Feb 19, 2022 1:19:42 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-19T13:19:42.612Z: Expanding SplittableProcessKeyed operations into optimizable parts. Feb 19, 2022 1:19:42 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-19T13:19:42.643Z: Expanding GroupByKey operations into streaming Read/Write steps Feb 19, 2022 1:19:42 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-19T13:19:42.677Z: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns Feb 19, 2022 1:19:42 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-19T13:19:42.754Z: Fusing adjacent ParDo, Read, Write, and Flatten operations Feb 19, 2022 1:19:42 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-19T13:19:42.779Z: Fusing consumer Read input/ParDo(OutputSingleSource)/ParMultiDo(OutputSingleSource) into Read input/Impulse Feb 19, 2022 1:19:42 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-19T13:19:42.804Z: Fusing consumer Read-input-ParDo-UnboundedSourceAsSDFWrapper--ParMultiDo-UnboundedSourceAsSDFWrapper-/PairWithRestriction into Read input/ParDo(OutputSingleSource)/ParMultiDo(OutputSingleSource) Feb 19, 2022 1:19:42 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-19T13:19:42.836Z: Fusing consumer Read-input-ParDo-UnboundedSourceAsSDFWrapper--ParMultiDo-UnboundedSourceAsSDFWrapper-/SplitWithSizing into Read-input-ParDo-UnboundedSourceAsSDFWrapper--ParMultiDo-UnboundedSourceAsSDFWrapper-/PairWithRestriction Feb 19, 2022 1:19:44 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-19T13:19:42.875Z: Fusing consumer Read input/ParDo(StripIds)/ParMultiDo(StripIds) into Read-input-ParDo-UnboundedSourceAsSDFWrapper--ParMultiDo-UnboundedSourceAsSDFWrapper-/ProcessElementAndRestrictionWithSizing Feb 19, 2022 1:19:44 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-19T13:19:42.929Z: Fusing consumer ParDo(TimeMonitor)/ParMultiDo(TimeMonitor) into Read input/ParDo(StripIds)/ParMultiDo(StripIds) Feb 19, 2022 1:19:44 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-19T13:19:43.015Z: Fusing consumer ParDo(ByteMonitor)/ParMultiDo(ByteMonitor) into ParDo(TimeMonitor)/ParMultiDo(TimeMonitor) Feb 19, 2022 1:19:44 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-19T13:19:43.132Z: Fusing consumer Step: 0/ParMultiDo(CounterOperation) into ParDo(ByteMonitor)/ParMultiDo(ByteMonitor) Feb 19, 2022 1:19:44 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-19T13:19:43.192Z: Fusing consumer ParDo(TimeMonitor)2/ParMultiDo(TimeMonitor) into Step: 0/ParMultiDo(CounterOperation) Feb 19, 2022 1:19:44 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-19T13:19:43.562Z: Starting 5 ****s in us-central1-b... Feb 19, 2022 1:20:15 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-19T13:20:15.608Z: 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 Feb 19, 2022 1:20:44 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-19T13:20:43.435Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate. Feb 19, 2022 1:21:39 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-19T13:21:39.492Z: Workers have started successfully. Feb 19, 2022 1:21:39 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-19T13:21:39.529Z: Workers have started successfully. Feb 19, 2022 1:29:01 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-19T13:28:59.970Z: Cleaning up. Feb 19, 2022 1:29:01 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-19T13:29:00.058Z: Stopping **** pool... Feb 19, 2022 1:29:01 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-19T13:29:00.138Z: Stopping **** pool... Feb 19, 2022 1:31:23 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-19T13:31:21.673Z: Autoscaling: Reduced the number of ****s to 0 based on low average **** CPU utilization, and the pipeline having sufficiently low backlog and keeping up with input rate. Feb 19, 2022 1:31:23 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-02-19T13:31:21.723Z: Worker pool stopped. Feb 19, 2022 1:31:28 PM org.apache.beam.runners.dataflow.DataflowPipelineJob logTerminalState INFO: Job 2022-02-19_05_19_31-14002583427652667600 finished with status DONE. Load test results for test (ID): 00fb8b4a-01a2-4c12-b5f4-a16fa6efb88e and timestamp: 2022-02-19T13:19:26.560000000Z: Metric: Value: dataflow_v2_java11_runtime_sec 361.395 dataflow_v2_java11_total_bytes_count 8.9885086E9 > Task :runners:google-cloud-dataflow-java:cleanUpDockerJavaImages FAILED Untagged: us.gcr.io/apache-beam-testing/java-postcommit-it/java:20220219131850 Untagged: us.gcr.io/apache-beam-testing/java-postcommit-it/java@sha256:3f8202ba23f945be827d222d2eebbff068ee3f55cc8ae6d389fe5e5f1940e8ec ERROR: (gcloud.container.images.untag) Image could not be found: [us.gcr.io/apache-beam-testing/java-postcommit-it/java:20220219131850] FAILURE: Build failed with an exception. * Where: Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Java_ParDo_Dataflow_V2_Streaming_Java11/ws/src/runners/google-cloud-dataflow-java/build.gradle'> line: 294 * What went wrong: Execution failed for task ':runners:google-cloud-dataflow-java:cleanUpDockerJavaImages'. > Process 'command 'gcloud'' finished with non-zero exit value 1 * 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 Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0. You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins. See https://docs.gradle.org/7.3.2/userguide/command_line_interface.html#sec:command_line_warnings Execution optimizations have been disabled for 1 invalid unit(s) of work during this build to ensure correctness. Please consult deprecation warnings for more details. BUILD FAILED in 12m 41s 104 actionable tasks: 8 executed, 96 up-to-date Publishing build scan... https://gradle.com/s/3zorxyeniiyeu 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]
