See <https://ci-beam.apache.org/job/beam_LoadTests_Java_ParDo_Dataflow_V2_Streaming_Java17/160/display/redirect>
Changes: ------------------------------------------ [...truncated 287.90 KB...] > Task :runners:java-fn-execution:classes UP-TO-DATE > Task :runners:java-fn-execution:jar 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:harness:shadowJar 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:java17: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 :sdks:java:testing:load-tests:jar UP-TO-DATE > Task :runners:google-cloud-dataflow-java:compileJava UP-TO-DATE > Task :runners:google-cloud-dataflow-java:classes UP-TO-DATE > Task :runners:google-cloud-dataflow-java:jar UP-TO-DATE > Task :sdks:java:container:goBuild /home/jenkins/go/bin/go1.18.1 build -o ./build/target/linux_amd64/boot boot.go boot_test.go > Task :sdks:java:container:java17:copySdkHarnessLauncher Execution optimizations have been disabled for task ':sdks:java:container:java17: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_Java17/ws/src/sdks/java/container/build/target'.> Reason: Task ':sdks:java:container:java17: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_Java17/ws/src/sdks/java/container/build/target'.> Reason: Task ':sdks:java:container:java17: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:java17:dockerPrepare > Task :sdks:java:container:java17: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] 892a6509af03: Preparing 699b2349ebee: Preparing c7674445e673: Preparing 67926f2cc5f3: Preparing cfc715ff7179: Preparing eba5ee2a6f11: Preparing 33a211fc760c: Preparing 866b9fb9bf8f: Preparing aa9efab3597c: Preparing 253f3381e9d1: Preparing 32df0cc1568c: Preparing 919375d9a2a0: Preparing aba4501edc6e: Preparing a8dd1e2bf855: Preparing f1625ff333a3: Preparing 3bc383470c05: Preparing e93827457889: Preparing 33a211fc760c: Waiting 08fa02ce37eb: Preparing a037458de4e0: Preparing 866b9fb9bf8f: Waiting bafdbe68e4ae: Preparing a13c519c6361: Preparing 919375d9a2a0: Waiting 32df0cc1568c: Waiting aba4501edc6e: Waiting aa9efab3597c: Waiting 253f3381e9d1: Waiting eba5ee2a6f11: Waiting 3bc383470c05: Waiting 08fa02ce37eb: Waiting bafdbe68e4ae: Waiting f1625ff333a3: Waiting a8dd1e2bf855: Waiting 67926f2cc5f3: Pushed 699b2349ebee: Pushed c7674445e673: Pushed cfc715ff7179: Pushed 892a6509af03: Pushed 866b9fb9bf8f: Pushed 33a211fc760c: Pushed 253f3381e9d1: Pushed 919375d9a2a0: Pushed aa9efab3597c: Pushed eba5ee2a6f11: Pushed 3bc383470c05: Layer already exists e93827457889: Layer already exists 08fa02ce37eb: Layer already exists a037458de4e0: Layer already exists bafdbe68e4ae: Layer already exists a13c519c6361: Layer already exists 32df0cc1568c: Pushed f1625ff333a3: Pushed a8dd1e2bf855: Pushed aba4501edc6e: Pushed 20220529124203: digest: sha256:7dd7c18634fd701cc9a1a1b641602ae200c028535fa56192afc4addec329e935 size: 4729 > Task :sdks:java:testing:load-tests:run May 29, 2022 12:42:33 PM org.apache.beam.runners.dataflow.options.DataflowPipelineOptions$StagingLocationFactory create INFO: No stagingLocation provided, falling back to gcpTempLocation May 29, 2022 12:42:34 PM org.apache.beam.runners.dataflow.DataflowRunner fromOptions INFO: PipelineOptions.filesToStage was not specified. Defaulting to files from the classpath: will stage 222 files. Enable logging at DEBUG level to see which files will be staged. May 29, 2022 12:42:35 PM org.apache.beam.sdk.Pipeline validate WARNING: The following transforms do not have stable unique names: ParDo(TimeMonitor) May 29, 2022 12:42:35 PM org.apache.beam.runners.dataflow.DataflowRunner run INFO: Executing pipeline on the Dataflow Service, which will have billing implications related to Google Compute Engine usage and other Google Cloud Services. May 29, 2022 12:42:37 PM org.apache.beam.runners.dataflow.util.PackageUtil stageClasspathElements INFO: Uploading 222 files from PipelineOptions.filesToStage to staging location to prepare for execution. May 29, 2022 12:42:38 PM org.apache.beam.runners.dataflow.util.PackageUtil stageClasspathElements INFO: Staging files complete: 222 files cached, 0 files newly uploaded in 0 seconds May 29, 2022 12:42:38 PM org.apache.beam.runners.dataflow.DataflowRunner run INFO: Staging portable pipeline proto to gs://temp-storage-for-perf-tests/loadtests/staging/ May 29, 2022 12:42:38 PM org.apache.beam.runners.dataflow.util.PackageUtil tryStagePackage INFO: Uploading <96143 bytes, hash 90d9263acbbbb5562a8af8a93d270cf14e081b2537ea32e7d4ac4f893eb89a5c> to gs://temp-storage-for-perf-tests/loadtests/staging/pipeline-kNkmOsu7tVYqivipPScM8U4IGyU36jLn1KxPiT64mlw.pb May 29, 2022 12:42:39 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding Read input/DataflowRunner.StreamingUnboundedRead.ReadWithIds as step s1 May 29, 2022 12:42:39 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}] May 29, 2022 12:42:39 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding Read input/StripIds as step s2 May 29, 2022 12:42:39 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding ParDo(TimeMonitor) as step s3 May 29, 2022 12:42:39 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding ParDo(ByteMonitor) as step s4 May 29, 2022 12:42:39 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding Step: 0 as step s5 May 29, 2022 12:42:40 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding ParDo(TimeMonitor)2 as step s6 May 29, 2022 12:42:40 PM org.apache.beam.runners.dataflow.DataflowRunner run INFO: Dataflow SDK version: 2.40.0-SNAPSHOT May 29, 2022 12:42:40 PM org.apache.beam.runners.dataflow.DataflowRunner run INFO: To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2022-05-29_05_42_40-18102949093258328124?project=apache-beam-testing May 29, 2022 12:42:40 PM org.apache.beam.runners.dataflow.DataflowRunner run INFO: Submitted job: 2022-05-29_05_42_40-18102949093258328124 May 29, 2022 12:42:40 PM org.apache.beam.runners.dataflow.DataflowRunner run INFO: To cancel the job using the 'gcloud' tool, run: > gcloud dataflow jobs --project=apache-beam-testing cancel > --region=us-central1 2022-05-29_05_42_40-18102949093258328124 May 29, 2022 12:43:03 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process WARNING: 2022-05-29T12:42:59.067Z: 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: load0tests0java170dataflow0v20streaming0pardo04-jenkins-05-vebe. 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 May 29, 2022 12:43:16 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-05-29T12:43:14.339Z: Worker configuration: e2-standard-2 in us-central1-b. May 29, 2022 12:43:16 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-05-29T12:43:15.150Z: Expanding SplittableParDo operations into optimizable parts. May 29, 2022 12:43:16 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-05-29T12:43:15.283Z: Expanding CollectionToSingleton operations into optimizable parts. May 29, 2022 12:43:16 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-05-29T12:43:15.369Z: Expanding CoGroupByKey operations into optimizable parts. May 29, 2022 12:43:16 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-05-29T12:43:15.407Z: Expanding SplittableProcessKeyed operations into optimizable parts. May 29, 2022 12:43:16 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-05-29T12:43:15.433Z: Expanding GroupByKey operations into streaming Read/Write steps May 29, 2022 12:43:16 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-05-29T12:43:15.465Z: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns May 29, 2022 12:43:16 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-05-29T12:43:16.047Z: Fusing adjacent ParDo, Read, Write, and Flatten operations May 29, 2022 12:43:17 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-05-29T12:43:16.246Z: Fusing consumer Read input/ParDo(OutputSingleSource)/ParMultiDo(OutputSingleSource) into Read input/Impulse May 29, 2022 12:43:17 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-05-29T12:43:16.360Z: Fusing consumer Read-input-ParDo-UnboundedSourceAsSDFWrapper--ParMultiDo-UnboundedSourceAsSDFWrapper-/PairWithRestriction into Read input/ParDo(OutputSingleSource)/ParMultiDo(OutputSingleSource) May 29, 2022 12:43:17 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-05-29T12:43:16.551Z: Fusing consumer Read-input-ParDo-UnboundedSourceAsSDFWrapper--ParMultiDo-UnboundedSourceAsSDFWrapper-/SplitWithSizing into Read-input-ParDo-UnboundedSourceAsSDFWrapper--ParMultiDo-UnboundedSourceAsSDFWrapper-/PairWithRestriction May 29, 2022 12:43:17 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-05-29T12:43:16.768Z: Fusing consumer Read input/ParDo(StripIds)/ParMultiDo(StripIds) into Read-input-ParDo-UnboundedSourceAsSDFWrapper--ParMultiDo-UnboundedSourceAsSDFWrapper-/ProcessElementAndRestrictionWithSizing May 29, 2022 12:43:17 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-05-29T12:43:16.940Z: Fusing consumer ParDo(TimeMonitor)/ParMultiDo(TimeMonitor) into Read input/ParDo(StripIds)/ParMultiDo(StripIds) May 29, 2022 12:43:17 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-05-29T12:43:17.049Z: Fusing consumer ParDo(ByteMonitor)/ParMultiDo(ByteMonitor) into ParDo(TimeMonitor)/ParMultiDo(TimeMonitor) May 29, 2022 12:43:17 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-05-29T12:43:17.154Z: Fusing consumer Step: 0/ParMultiDo(CounterOperation) into ParDo(ByteMonitor)/ParMultiDo(ByteMonitor) May 29, 2022 12:43:20 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-05-29T12:43:17.355Z: Fusing consumer ParDo(TimeMonitor)2/ParMultiDo(TimeMonitor) into Step: 0/ParMultiDo(CounterOperation) May 29, 2022 12:43:20 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-05-29T12:43:18.157Z: Running job using Streaming Engine May 29, 2022 12:43:20 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-05-29T12:43:18.904Z: Starting 5 ****s in us-central1-b... May 29, 2022 12:43:24 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-05-29T12:43:23.145Z: Your project already contains 100 Dataflow-created metric descriptors, so new user metrics of the form custom.googleapis.com/* will not be created. However, all user metrics are also available in the metric dataflow.googleapis.com/job/user_counter. If you rely on the custom metrics, you can delete old / unused metric descriptors. See https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.list and https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.delete May 29, 2022 12:43:44 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-05-29T12:43:42.821Z: 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. May 29, 2022 12:44:50 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-05-29T12:44:50.010Z: Workers have started successfully. May 29, 2022 12:47:25 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-05-29T12:47:24.486Z: Cleaning up. May 29, 2022 12:47:25 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-05-29T12:47:24.562Z: Stopping **** pool... May 29, 2022 12:47:25 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-05-29T12:47:24.638Z: Stopping **** pool... May 29, 2022 12:47:58 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-05-29T12:47:57.756Z: Autoscaling: Reduced the number of ****s to 0 based on low average **** CPU utilization, and the pipeline having sufficiently low backlog and keeping up with input rate. May 29, 2022 12:47:58 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-05-29T12:47:57.818Z: Worker pool stopped. May 29, 2022 12:48:07 PM org.apache.beam.runners.dataflow.DataflowPipelineJob logTerminalState INFO: Job 2022-05-29_05_42_40-18102949093258328124 finished with status DONE. Load test results for test (ID): ffe23056-3f6d-42ed-a31e-f42b92e91dba and timestamp: 2022-05-29T12:42:34.898000000Z: Metric: Value: dataflow_v2_java17_runtime_sec 53.206 dataflow_v2_java17_total_bytes_count 1.999998E9 > Task :runners:google-cloud-dataflow-java:cleanUpDockerJavaImages Untagged: us.gcr.io/apache-beam-testing/java-postcommit-it/java:20220529124203 Untagged: us.gcr.io/apache-beam-testing/java-postcommit-it/java@sha256:7dd7c18634fd701cc9a1a1b641602ae200c028535fa56192afc4addec329e935 Tag: [us.gcr.io/apache-beam-testing/java-postcommit-it/java:20220529124203] - referencing digest: [us.gcr.io/apache-beam-testing/java-postcommit-it/java@sha256:7dd7c18634fd701cc9a1a1b641602ae200c028535fa56192afc4addec329e935] Deleted [[us.gcr.io/apache-beam-testing/java-postcommit-it/java:20220529124203] (referencing [us.gcr.io/apache-beam-testing/java-postcommit-it/java@sha256:7dd7c18634fd701cc9a1a1b641602ae200c028535fa56192afc4addec329e935])]. Removing untagged image us.gcr.io/apache-beam-testing/java-postcommit-it/java@sha256:7dd7c18634fd701cc9a1a1b641602ae200c028535fa56192afc4addec329e935 Digests: - us.gcr.io/apache-beam-testing/java-postcommit-it/java@sha256:7dd7c18634fd701cc9a1a1b641602ae200c028535fa56192afc4addec329e935 ERROR: (gcloud.container.images.delete) Not found: response: {'docker-distribution-api-version': 'registry/2.0', 'content-type': 'application/json', 'date': 'Sun, 29 May 2022 12:48:14 GMT', 'server': 'Docker Registry', 'cache-control': 'private', 'x-xss-protection': '0', 'x-frame-options': 'SAMEORIGIN', 'transfer-encoding': 'chunked', 'status': '404', 'content-length': '168', '-content-encoding': 'gzip'} Failed to compute blob liveness for manifest: 'sha256:7dd7c18634fd701cc9a1a1b641602ae200c028535fa56192afc4addec329e935': None > Task :runners:google-cloud-dataflow-java:cleanUpDockerJavaImages FAILED FAILURE: Build failed with an exception. * Where: Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Java_ParDo_Dataflow_V2_Streaming_Java17/ws/src/runners/google-cloud-dataflow-java/build.gradle'> line: 297 * What went wrong: Execution failed for task ':runners:google-cloud-dataflow-java:cleanUpDockerJavaImages'. > Process 'command './scripts/cleanup_untagged_gcr_images.sh'' 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/7.4/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 6m 11s 105 actionable tasks: 8 executed, 97 up-to-date Publishing build scan... https://gradle.com/s/ogjttin7ejoxw 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]
