See <https://ci-beam.apache.org/job/beam_LoadTests_Java_ParDo_Dataflow_V2_Streaming_Java11/547/display/redirect>
Changes: ------------------------------------------ [...truncated 237.42 KB...] > 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 :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:shadowJar 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: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: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: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:copyDockerfileDependencies UP-TO-DATE > 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] 5b4f9049d051: Preparing 3234a2dacf48: Preparing d9ecd80d3270: Preparing 8f41bb10b1bc: Preparing 2a3058b8ba99: Preparing 92de474725e9: Preparing 93de70da606f: Preparing 35992d770366: Preparing 6eb54d72e4da: Preparing 8e5d735fcb87: Preparing eba354083eba: Preparing c52b4b580260: Preparing 958c4e7a050c: Preparing 1c91c3e39756: Preparing 84483be482eb: Preparing 7b7f3078e1db: Preparing 826c3ddbb29c: Preparing b626401ef603: Preparing 9b55156abf26: Preparing 293d5db30c9f: Preparing 03127cdb479b: Preparing 9c742cd6c7a5: Preparing 84483be482eb: Waiting 92de474725e9: Waiting 93de70da606f: Waiting 293d5db30c9f: Waiting b626401ef603: Waiting 03127cdb479b: Waiting 7b7f3078e1db: Waiting 9b55156abf26: Waiting 9c742cd6c7a5: Waiting 826c3ddbb29c: Waiting 1c91c3e39756: Waiting 958c4e7a050c: Waiting eba354083eba: Waiting 8e5d735fcb87: Waiting c52b4b580260: Waiting 6eb54d72e4da: Waiting d9ecd80d3270: Pushed 3234a2dacf48: Pushed 8f41bb10b1bc: Pushed 2a3058b8ba99: Pushed 5b4f9049d051: Pushed 35992d770366: Pushed 93de70da606f: Pushed 8e5d735fcb87: Pushed c52b4b580260: Pushed eba354083eba: Pushed 6eb54d72e4da: Pushed 7b7f3078e1db: Layer already exists 92de474725e9: 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 958c4e7a050c: Pushed 1c91c3e39756: Pushed 84483be482eb: Pushed 20221219125504: digest: sha256:de3a644f2104eeda14ef6afaa6c9e5051fc6c3d641f9f19826271f1b65acc762 size: 4934 > Task :sdks:java:testing:load-tests:run Dec 19, 2022 12:55:30 PM org.apache.beam.runners.dataflow.options.DataflowPipelineOptions$StagingLocationFactory create INFO: No stagingLocation provided, falling back to gcpTempLocation Dec 19, 2022 12:55:31 PM org.apache.beam.runners.dataflow.DataflowRunner fromOptions INFO: PipelineOptions.filesToStage was not specified. Defaulting to files from the classpath: will stage 232 files. Enable logging at DEBUG level to see which files will be staged. Dec 19, 2022 12:55:31 PM org.apache.beam.sdk.Pipeline validate WARNING: The following transforms do not have stable unique names: ParDo(TimeMonitor) Dec 19, 2022 12:55:31 PM org.apache.beam.runners.dataflow.DataflowRunner run INFO: Executing pipeline on the Dataflow Service, which will have billing implications related to Google Compute Engine usage and other Google Cloud Services. Dec 19, 2022 12:55:33 PM org.apache.beam.runners.dataflow.util.PackageUtil stageClasspathElements INFO: Uploading 232 files from PipelineOptions.filesToStage to staging location to prepare for execution. Dec 19, 2022 12:55:34 PM org.apache.beam.runners.dataflow.util.PackageUtil stageClasspathElements INFO: Staging files complete: 232 files cached, 0 files newly uploaded in 0 seconds Dec 19, 2022 12:55:34 PM org.apache.beam.runners.dataflow.DataflowRunner run INFO: Staging portable pipeline proto to gs://temp-storage-for-perf-tests/loadtests/staging/ Dec 19, 2022 12:55:34 PM org.apache.beam.runners.dataflow.util.PackageUtil tryStagePackage INFO: Uploading <99562 bytes, hash 3e1747db41196c78f954c276fbf602da71adf2d8d28d4e135a2b92d1a9bfce84> to gs://temp-storage-for-perf-tests/loadtests/staging/pipeline-PhdH20EZbHj5VMJ2-_YC2nGt8tjSjU4TWiuS0am_zoQ.pb Dec 19, 2022 12:55:36 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding Read input/DataflowRunner.StreamingUnboundedRead.ReadWithIds as step s1 Dec 19, 2022 12:55:36 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 19, 2022 12:55:36 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding Read input/StripIds as step s2 Dec 19, 2022 12:55:36 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding ParDo(TimeMonitor) as step s3 Dec 19, 2022 12:55:36 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding ParDo(ByteMonitor) as step s4 Dec 19, 2022 12:55:36 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding Step: 0 as step s5 Dec 19, 2022 12:55:36 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep INFO: Adding ParDo(TimeMonitor)2 as step s6 Dec 19, 2022 12:55:36 PM org.apache.beam.runners.dataflow.DataflowRunner run INFO: Dataflow SDK version: 2.45.0-SNAPSHOT Dec 19, 2022 12:55:37 PM org.apache.beam.runners.dataflow.DataflowRunner run INFO: To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2022-12-19_04_55_36-292440412000617621?project=apache-beam-testing Dec 19, 2022 12:55:37 PM org.apache.beam.runners.dataflow.DataflowRunner run INFO: Submitted job: 2022-12-19_04_55_36-292440412000617621 Dec 19, 2022 12:55:37 PM org.apache.beam.runners.dataflow.DataflowRunner run INFO: To cancel the job using the 'gcloud' tool, run: > gcloud dataflow jobs --project=apache-beam-testing cancel > --region=us-central1 2022-12-19_04_55_36-292440412000617621 Dec 19, 2022 12:55:43 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process WARNING: 2022-12-19T12:55:42.254Z: 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: load0tests0java110dataflow0v20streaming0pardo03-jenkins-12-yjrq. 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 19, 2022 12:55:51 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-12-19T12:55:50.149Z: Worker configuration: e2-standard-2 in us-central1-b. Dec 19, 2022 12:55:51 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-12-19T12:55:51.488Z: Expanding SplittableParDo operations into optimizable parts. Dec 19, 2022 12:55:51 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-12-19T12:55:51.512Z: Expanding CollectionToSingleton operations into optimizable parts. Dec 19, 2022 12:55:51 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-12-19T12:55:51.555Z: Expanding CoGroupByKey operations into optimizable parts. Dec 19, 2022 12:55:51 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-12-19T12:55:51.585Z: Expanding SplittableProcessKeyed operations into optimizable parts. Dec 19, 2022 12:55:51 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-12-19T12:55:51.603Z: Expanding GroupByKey operations into streaming Read/Write steps Dec 19, 2022 12:55:51 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-12-19T12:55:51.624Z: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns Dec 19, 2022 12:55:51 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-12-19T12:55:51.678Z: Fusing adjacent ParDo, Read, Write, and Flatten operations Dec 19, 2022 12:55:51 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-12-19T12:55:51.704Z: Fusing consumer Read input/ParDo(OutputSingleSource)/ParMultiDo(OutputSingleSource) into Read input/Impulse Dec 19, 2022 12:55:51 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-12-19T12:55:51.725Z: Fusing consumer Read-input-ParDo-UnboundedSourceAsSDFWrapper--ParMultiDo-UnboundedSourceAsSDFWrapper-/PairWithRestriction into Read input/ParDo(OutputSingleSource)/ParMultiDo(OutputSingleSource) Dec 19, 2022 12:55:51 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-12-19T12:55:51.747Z: Fusing consumer Read-input-ParDo-UnboundedSourceAsSDFWrapper--ParMultiDo-UnboundedSourceAsSDFWrapper-/SplitWithSizing into Read-input-ParDo-UnboundedSourceAsSDFWrapper--ParMultiDo-UnboundedSourceAsSDFWrapper-/PairWithRestriction Dec 19, 2022 12:55:51 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-12-19T12:55:51.772Z: Fusing consumer Read input/ParDo(StripIds)/ParMultiDo(StripIds) into Read-input-ParDo-UnboundedSourceAsSDFWrapper--ParMultiDo-UnboundedSourceAsSDFWrapper-/ProcessElementAndRestrictionWithSizing Dec 19, 2022 12:55:51 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-12-19T12:55:51.791Z: Fusing consumer ParDo(TimeMonitor)/ParMultiDo(TimeMonitor) into Read input/ParDo(StripIds)/ParMultiDo(StripIds) Dec 19, 2022 12:55:51 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-12-19T12:55:51.819Z: Fusing consumer ParDo(ByteMonitor)/ParMultiDo(ByteMonitor) into ParDo(TimeMonitor)/ParMultiDo(TimeMonitor) Dec 19, 2022 12:55:51 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-12-19T12:55:51.843Z: Fusing consumer Step: 0/ParMultiDo(CounterOperation) into ParDo(ByteMonitor)/ParMultiDo(ByteMonitor) Dec 19, 2022 12:55:51 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-12-19T12:55:51.867Z: Fusing consumer ParDo(TimeMonitor)2/ParMultiDo(TimeMonitor) into Step: 0/ParMultiDo(CounterOperation) Dec 19, 2022 12:55:53 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-12-19T12:55:51.939Z: Running job using Streaming Engine Dec 19, 2022 12:55:53 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-12-19T12:55:53.168Z: Starting 5 ****s in us-central1-b... Dec 19, 2022 12:55:56 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-12-19T12:55:55.596Z: Your project already contains 100 Dataflow-created metric descriptors, so new user metrics of the form custom.googleapis.com/* will not be created. However, all user metrics are also available in the metric dataflow.googleapis.com/job/user_counter. If you rely on the custom metrics, you can delete old / unused metric descriptors. See https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.list and https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.delete Dec 19, 2022 12:56:37 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-12-19T12:56:35.993Z: 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 19, 2022 12:57:36 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-12-19T12:57:35.675Z: Workers have started successfully. Dec 19, 2022 12:57:38 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-12-19T12:57:36.878Z: All ****s have finished the startup processes and began to receive work requests. Dec 19, 2022 1:00:01 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-12-19T12:59:59.448Z: Cleaning up. Dec 19, 2022 1:00:01 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-12-19T12:59:59.515Z: Stopping **** pool... Dec 19, 2022 1:00:01 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-12-19T12:59:59.573Z: Stopping **** pool... Dec 19, 2022 1:02:16 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-12-19T13:02:15.565Z: 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. Dec 19, 2022 1:02:16 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process INFO: 2022-12-19T13:02:15.650Z: Worker pool stopped. Dec 19, 2022 1:02:21 PM org.apache.beam.runners.dataflow.DataflowPipelineJob logTerminalState INFO: Job 2022-12-19_04_55_36-292440412000617621 finished with status DONE. Load test results for test (ID): 59cfa2c2-4ac5-447a-8575-124520cecd95 and timestamp: 2022-12-19T12:55:31.569000000Z: Metric: Value: dataflow_v2_java11_runtime_sec 27.051 dataflow_v2_java11_total_bytes_count 1.999998E9 > Task :runners:google-cloud-dataflow-java:cleanUpDockerJavaImages FAILED Untagged: us.gcr.io/apache-beam-testing/java-postcommit-it/java:20221219125504 Untagged: us.gcr.io/apache-beam-testing/java-postcommit-it/java@sha256:de3a644f2104eeda14ef6afaa6c9e5051fc6c3d641f9f19826271f1b65acc762 ERROR: (gcloud.container.images.untag) Image could not be found: [us.gcr.io/apache-beam-testing/java-postcommit-it/java:20221219125504] 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: 301 * 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. * 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/7.5.1/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 7m 33s 109 actionable tasks: 9 executed, 100 up-to-date Publishing build scan... https://gradle.com/s/gjvxnnz7hy66m 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]
