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Posted to builds@beam.apache.org by Apache Jenkins Server <je...@builds.apache.org> on 2022/11/03 12:46:14 UTC
Build failed in Jenkins: beam_LoadTests_Java_ParDo_Dataflow_V2_Streaming_Java17 #317
See <https://ci-beam.apache.org/job/beam_LoadTests_Java_ParDo_Dataflow_V2_Streaming_Java17/317/display/redirect?page=changes>
Changes:
[Moritz Mack] Fix Spark 3 job-server jar path for Python test suites (closes #23935,
[noreply] Bump actions/setup-java from 3.5.1 to 3.6.0 (#23797)
[noreply] [CdapIO] Add integration tests for SparkReceiverIO (#23305)
[noreply] [Go] Ensure iterated and emitted types are registered. (#23890)
[chamikaramj] Updates Multi-language Java examples documentation
[noreply] [Python SDK] Re-enable PipelineOptionsTest.test_display_data (#23787)
[noreply] Unify PerformanceTest metric dashboard naming and series (#23914)
[noreply] Update REVIEWERS.yaml (#23955)
[Moritz Mack] [Spark dataset runner] Add direct translation of Combine.GroupedValues
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> 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
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> Task :runners:google-cloud-dataflow-java:compileJava UP-TO-DATE
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> 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/7.5.1/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_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/7.5.1/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]
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> Task :sdks:java:testing:load-tests:run
Nov 03, 2022 12:39:54 PM org.apache.beam.runners.dataflow.options.DataflowPipelineOptions$StagingLocationFactory create
INFO: No stagingLocation provided, falling back to gcpTempLocation
Nov 03, 2022 12:39:55 PM org.apache.beam.runners.dataflow.DataflowRunner fromOptions
INFO: PipelineOptions.filesToStage was not specified. Defaulting to files from the classpath: will stage 229 files. Enable logging at DEBUG level to see which files will be staged.
Nov 03, 2022 12:39:55 PM org.apache.beam.sdk.Pipeline validate
WARNING: The following transforms do not have stable unique names: ParDo(TimeMonitor)
Nov 03, 2022 12:39:55 PM org.apache.beam.runners.dataflow.DataflowRunner run
INFO: Executing pipeline on the Dataflow Service, which will have billing implications related to Google Compute Engine usage and other Google Cloud Services.
Nov 03, 2022 12:39:57 PM org.apache.beam.runners.dataflow.util.PackageUtil stageClasspathElements
INFO: Uploading 229 files from PipelineOptions.filesToStage to staging location to prepare for execution.
Nov 03, 2022 12:39:58 PM org.apache.beam.runners.dataflow.util.PackageUtil stageClasspathElements
INFO: Staging files complete: 229 files cached, 0 files newly uploaded in 0 seconds
Nov 03, 2022 12:39:58 PM org.apache.beam.runners.dataflow.DataflowRunner run
INFO: Staging portable pipeline proto to gs://temp-storage-for-perf-tests/loadtests/staging/
Nov 03, 2022 12:39:58 PM org.apache.beam.runners.dataflow.util.PackageUtil tryStagePackage
INFO: Uploading <98542 bytes, hash 809b235dc670b8a06211cc4ecde071337225b8248cb9aa96a6bff1bcf3bf68a6> to gs://temp-storage-for-perf-tests/loadtests/staging/pipeline-gJsjXcZwuKBiEcxOzeBxM3IluCSMuaqWpr_xvPO_aKY.pb
Nov 03, 2022 12:40:00 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding Read input/DataflowRunner.StreamingUnboundedRead.ReadWithIds as step s1
Nov 03, 2022 12:40:00 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}]
Nov 03, 2022 12:40:00 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding Read input/StripIds as step s2
Nov 03, 2022 12:40:00 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding ParDo(TimeMonitor) as step s3
Nov 03, 2022 12:40:00 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding ParDo(ByteMonitor) as step s4
Nov 03, 2022 12:40:00 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding Step: 0 as step s5
Nov 03, 2022 12:40:00 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding ParDo(TimeMonitor)2 as step s6
Nov 03, 2022 12:40:00 PM org.apache.beam.runners.dataflow.DataflowRunner run
INFO: Dataflow SDK version: 2.44.0-SNAPSHOT
Nov 03, 2022 12:40:00 PM org.apache.beam.runners.dataflow.DataflowRunner run
INFO: To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2022-11-03_05_40_00-12273509171655445400?project=apache-beam-testing
Nov 03, 2022 12:40:00 PM org.apache.beam.runners.dataflow.DataflowRunner run
INFO: Submitted job: 2022-11-03_05_40_00-12273509171655445400
Nov 03, 2022 12:40:00 PM org.apache.beam.runners.dataflow.DataflowRunner run
INFO: To cancel the job using the 'gcloud' tool, run:
> gcloud dataflow jobs --project=apache-beam-testing cancel --region=us-central1 2022-11-03_05_40_00-12273509171655445400
Nov 03, 2022 12:40:07 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
WARNING: 2022-11-03T12:40:05.857Z: 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: load0tests0java170dataflow0v20streaming0pardo03-jenkins-11-nudz. 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
Nov 03, 2022 12:40:16 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-03T12:40:14.263Z: Worker configuration: e2-standard-2 in us-central1-b.
Nov 03, 2022 12:40:16 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-03T12:40:15.501Z: Expanding SplittableParDo operations into optimizable parts.
Nov 03, 2022 12:40:16 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-03T12:40:15.527Z: Expanding CollectionToSingleton operations into optimizable parts.
Nov 03, 2022 12:40:16 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-03T12:40:15.588Z: Expanding CoGroupByKey operations into optimizable parts.
Nov 03, 2022 12:40:16 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-03T12:40:15.619Z: Expanding SplittableProcessKeyed operations into optimizable parts.
Nov 03, 2022 12:40:16 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-03T12:40:15.650Z: Expanding GroupByKey operations into streaming Read/Write steps
Nov 03, 2022 12:40:16 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-03T12:40:15.685Z: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
Nov 03, 2022 12:40:16 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-03T12:40:15.746Z: Fusing adjacent ParDo, Read, Write, and Flatten operations
Nov 03, 2022 12:40:16 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-03T12:40:15.779Z: Fusing consumer Read input/ParDo(OutputSingleSource)/ParMultiDo(OutputSingleSource) into Read input/Impulse
Nov 03, 2022 12:40:16 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-03T12:40:15.804Z: Fusing consumer Read-input-ParDo-UnboundedSourceAsSDFWrapper--ParMultiDo-UnboundedSourceAsSDFWrapper-/PairWithRestriction into Read input/ParDo(OutputSingleSource)/ParMultiDo(OutputSingleSource)
Nov 03, 2022 12:40:16 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-03T12:40:15.827Z: Fusing consumer Read-input-ParDo-UnboundedSourceAsSDFWrapper--ParMultiDo-UnboundedSourceAsSDFWrapper-/SplitWithSizing into Read-input-ParDo-UnboundedSourceAsSDFWrapper--ParMultiDo-UnboundedSourceAsSDFWrapper-/PairWithRestriction
Nov 03, 2022 12:40:16 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-03T12:40:15.847Z: Fusing consumer Read input/ParDo(StripIds)/ParMultiDo(StripIds) into Read-input-ParDo-UnboundedSourceAsSDFWrapper--ParMultiDo-UnboundedSourceAsSDFWrapper-/ProcessElementAndRestrictionWithSizing
Nov 03, 2022 12:40:16 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-03T12:40:15.872Z: Fusing consumer ParDo(TimeMonitor)/ParMultiDo(TimeMonitor) into Read input/ParDo(StripIds)/ParMultiDo(StripIds)
Nov 03, 2022 12:40:16 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-03T12:40:15.898Z: Fusing consumer ParDo(ByteMonitor)/ParMultiDo(ByteMonitor) into ParDo(TimeMonitor)/ParMultiDo(TimeMonitor)
Nov 03, 2022 12:40:16 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-03T12:40:15.930Z: Fusing consumer Step: 0/ParMultiDo(CounterOperation) into ParDo(ByteMonitor)/ParMultiDo(ByteMonitor)
Nov 03, 2022 12:40:16 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-03T12:40:15.962Z: Fusing consumer ParDo(TimeMonitor)2/ParMultiDo(TimeMonitor) into Step: 0/ParMultiDo(CounterOperation)
Nov 03, 2022 12:40:16 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-03T12:40:16.076Z: Running job using Streaming Engine
Nov 03, 2022 12:40:19 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-03T12:40:16.333Z: Starting 5 ****s in us-central1-b...
Nov 03, 2022 12:40:22 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-03T12:40:20.636Z: Your project already contains 100 Dataflow-created metric descriptors, so new user metrics of the form custom.googleapis.com/* will not be created. However, all user metrics are also available in the metric dataflow.googleapis.com/job/user_counter. If you rely on the custom metrics, you can delete old / unused metric descriptors. See https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.list and https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.delete
Nov 03, 2022 12:40:59 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-03T12:40:59.248Z: 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.
Nov 03, 2022 12:42:08 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-03T12:42:07.723Z: Workers have started successfully.
Nov 03, 2022 12:43:39 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-03T12:43:38.686Z: Cleaning up.
Nov 03, 2022 12:43:39 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-03T12:43:38.778Z: Stopping **** pool...
Nov 03, 2022 12:43:39 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-03T12:43:38.836Z: Stopping **** pool...
Nov 03, 2022 12:46:01 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-03T12:45:59.657Z: Autoscaling: Reduced the number of ****s to 0 based on low average **** CPU utilization, and the pipeline having sufficiently low backlog and keeping up with input rate.
Nov 03, 2022 12:46:01 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-03T12:45:59.714Z: Worker pool stopped.
Nov 03, 2022 12:46:05 PM org.apache.beam.runners.dataflow.DataflowPipelineJob logTerminalState
INFO: Job 2022-11-03_05_40_00-12273509171655445400 finished with status DONE.
Load test results for test (ID): 52bd2066-eb0d-4ce6-aeb7-60ecd2686e49 and timestamp: 2022-11-03T12:39:55.446000000Z:
Metric: Value:
dataflow_v2_java17_runtime_sec 19.056
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:20221103123920
Untagged: us.gcr.io/apache-beam-testing/java-postcommit-it/java@sha256:419d38e33cca09a86d9e5943839f71724e12c9a185224795e507d5aa33ef7078
WARNING: Successfully resolved tag to sha256, but it is recommended to use sha256 directly.
Tag: [us.gcr.io/apache-beam-testing/java-postcommit-it/java:20221103123920]
- referencing digest: [us.gcr.io/apache-beam-testing/java-postcommit-it/java@sha256:419d38e33cca09a86d9e5943839f71724e12c9a185224795e507d5aa33ef7078]
Deleted [[us.gcr.io/apache-beam-testing/java-postcommit-it/java:20221103123920] (referencing [us.gcr.io/apache-beam-testing/java-postcommit-it/java@sha256:419d38e33cca09a86d9e5943839f71724e12c9a185224795e507d5aa33ef7078])].
Removing untagged image us.gcr.io/apache-beam-testing/java-postcommit-it/java@sha256:419d38e33cca09a86d9e5943839f71724e12c9a185224795e507d5aa33ef7078
Digests:
- us.gcr.io/apache-beam-testing/java-postcommit-it/java@sha256:419d38e33cca09a86d9e5943839f71724e12c9a185224795e507d5aa33ef7078
Deleted [us.gcr.io/apache-beam-testing/java-postcommit-it/java@sha256:419d38e33cca09a86d9e5943839f71724e12c9a185224795e507d5aa33ef7078].
Removing untagged image us.gcr.io/apache-beam-testing/java-postcommit-it/java@sha256:4b288e2144a4dd60d24f6a82797c60510f950071fef2ce978578d68641c6575b
Digests:
- us.gcr.io/apache-beam-testing/java-postcommit-it/java@sha256:4b288e2144a4dd60d24f6a82797c60510f950071fef2ce978578d68641c6575b
ERROR: (gcloud.container.images.delete) Not found: response: {'docker-distribution-api-version': 'registry/2.0', 'content-type': 'application/json', 'content-encoding': 'gzip', 'date': 'Thu, 03 Nov 2022 12:46:13 GMT', 'server': 'Docker Registry', 'cache-control': 'private', 'x-xss-protection': '0', 'x-frame-options': 'SAMEORIGIN', 'transfer-encoding': 'chunked', 'status': 404}
Failed to compute blob liveness for manifest: 'sha256:4b288e2144a4dd60d24f6a82797c60510f950071fef2ce978578d68641c6575b': 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: 304
* 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.
* 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 6m 54s
108 actionable tasks: 9 executed, 99 up-to-date
Publishing build scan...
https://gradle.com/s/osombgwtmmnsi
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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Jenkins build is back to normal : beam_LoadTests_Java_ParDo_Dataflow_V2_Streaming_Java17 #319
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Build failed in Jenkins: beam_LoadTests_Java_ParDo_Dataflow_V2_Streaming_Java17 #318
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Java_ParDo_Dataflow_V2_Streaming_Java17/318/display/redirect?page=changes>
Changes:
[ahmedabualsaud] emit load job IDs as soon as they come up
[ahmedabualsaud] style fix
[noreply] Concept guide on orchestrating Beam preprocessing (#23094)
[noreply] Initial draft of Batched DoFn user guide (#23909)
[noreply] WIP: Dataframe API ML preprocessing notebook (#22587)
[noreply] [Python] Added none check while accessing active_process_bundle (#23947)
[noreply] [Tour Of Beam] saving user code (#23938)
[noreply] Disable flaky fn_api_runner tests (#23971)
[noreply] Make BatchConverter inference errors more helpful (#23965)
[noreply] Improve Iterator error message (#23972)
[noreply] Update watermark during periodic sequence/impulse (#23507)
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> 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/7.5.1/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_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/7.5.1/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]
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20221104124031: digest: sha256:7eb411f4045b53302bada1da87019f783fd7bde4d9f25ddb3ea2c3dec11eae00 size: 4729
> Task :sdks:java:testing:load-tests:run
Nov 04, 2022 12:41:04 PM org.apache.beam.runners.dataflow.options.DataflowPipelineOptions$StagingLocationFactory create
INFO: No stagingLocation provided, falling back to gcpTempLocation
Nov 04, 2022 12:41:05 PM org.apache.beam.runners.dataflow.DataflowRunner fromOptions
INFO: PipelineOptions.filesToStage was not specified. Defaulting to files from the classpath: will stage 229 files. Enable logging at DEBUG level to see which files will be staged.
Nov 04, 2022 12:41:06 PM org.apache.beam.sdk.Pipeline validate
WARNING: The following transforms do not have stable unique names: ParDo(TimeMonitor)
Nov 04, 2022 12:41:06 PM org.apache.beam.runners.dataflow.DataflowRunner run
INFO: Executing pipeline on the Dataflow Service, which will have billing implications related to Google Compute Engine usage and other Google Cloud Services.
Nov 04, 2022 12:41:08 PM org.apache.beam.runners.dataflow.util.PackageUtil stageClasspathElements
INFO: Uploading 229 files from PipelineOptions.filesToStage to staging location to prepare for execution.
Nov 04, 2022 12:41:08 PM org.apache.beam.runners.dataflow.util.PackageUtil stageClasspathElements
INFO: Staging files complete: 229 files cached, 0 files newly uploaded in 0 seconds
Nov 04, 2022 12:41:08 PM org.apache.beam.runners.dataflow.DataflowRunner run
INFO: Staging portable pipeline proto to gs://temp-storage-for-perf-tests/loadtests/staging/
Nov 04, 2022 12:41:08 PM org.apache.beam.runners.dataflow.util.PackageUtil tryStagePackage
INFO: Uploading <98542 bytes, hash 37e2ea5cc691c8e88b657a363e0b830682d316a33edcbc721e6bce76f4f41277> to gs://temp-storage-for-perf-tests/loadtests/staging/pipeline-N-LqXMaRyOiLZXo2PguDBoLTFqM-3LxyHmvOdvT0Enc.pb
Nov 04, 2022 12:41:10 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding Read input/DataflowRunner.StreamingUnboundedRead.ReadWithIds as step s1
Nov 04, 2022 12:41:10 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}]
Nov 04, 2022 12:41:10 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding Read input/StripIds as step s2
Nov 04, 2022 12:41:10 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding ParDo(TimeMonitor) as step s3
Nov 04, 2022 12:41:10 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding ParDo(ByteMonitor) as step s4
Nov 04, 2022 12:41:10 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding Step: 0 as step s5
Nov 04, 2022 12:41:10 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding ParDo(TimeMonitor)2 as step s6
Nov 04, 2022 12:41:10 PM org.apache.beam.runners.dataflow.DataflowRunner run
INFO: Dataflow SDK version: 2.44.0-SNAPSHOT
Nov 04, 2022 12:41:13 PM org.apache.beam.runners.dataflow.DataflowRunner run
INFO: To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2022-11-04_05_41_10-9739031264656578655?project=apache-beam-testing
Nov 04, 2022 12:41:13 PM org.apache.beam.runners.dataflow.DataflowRunner run
INFO: Submitted job: 2022-11-04_05_41_10-9739031264656578655
Nov 04, 2022 12:41:13 PM org.apache.beam.runners.dataflow.DataflowRunner run
INFO: To cancel the job using the 'gcloud' tool, run:
> gcloud dataflow jobs --project=apache-beam-testing cancel --region=us-central1 2022-11-04_05_41_10-9739031264656578655
Nov 04, 2022 12:41:18 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
WARNING: 2022-11-04T12:41:18.477Z: 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: load0tests0java170dataflow0v20streaming0pardo03-jenkins-11-cryz. 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
Nov 04, 2022 12:41:27 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-04T12:41:26.524Z: Worker configuration: e2-standard-2 in us-central1-a.
Nov 04, 2022 12:41:27 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-04T12:41:27.649Z: Expanding SplittableParDo operations into optimizable parts.
Nov 04, 2022 12:41:27 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-04T12:41:27.687Z: Expanding CollectionToSingleton operations into optimizable parts.
Nov 04, 2022 12:41:27 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-04T12:41:27.772Z: Expanding CoGroupByKey operations into optimizable parts.
Nov 04, 2022 12:41:27 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-04T12:41:27.814Z: Expanding SplittableProcessKeyed operations into optimizable parts.
Nov 04, 2022 12:41:27 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-04T12:41:27.860Z: Expanding GroupByKey operations into streaming Read/Write steps
Nov 04, 2022 12:41:27 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-04T12:41:27.901Z: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
Nov 04, 2022 12:41:30 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-04T12:41:27.978Z: Fusing adjacent ParDo, Read, Write, and Flatten operations
Nov 04, 2022 12:41:30 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-04T12:41:28.008Z: Fusing consumer Read input/ParDo(OutputSingleSource)/ParMultiDo(OutputSingleSource) into Read input/Impulse
Nov 04, 2022 12:41:30 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-04T12:41:28.042Z: Fusing consumer Read-input-ParDo-UnboundedSourceAsSDFWrapper--ParMultiDo-UnboundedSourceAsSDFWrapper-/PairWithRestriction into Read input/ParDo(OutputSingleSource)/ParMultiDo(OutputSingleSource)
Nov 04, 2022 12:41:30 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-04T12:41:28.077Z: Fusing consumer Read-input-ParDo-UnboundedSourceAsSDFWrapper--ParMultiDo-UnboundedSourceAsSDFWrapper-/SplitWithSizing into Read-input-ParDo-UnboundedSourceAsSDFWrapper--ParMultiDo-UnboundedSourceAsSDFWrapper-/PairWithRestriction
Nov 04, 2022 12:41:30 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-04T12:41:28.112Z: Fusing consumer Read input/ParDo(StripIds)/ParMultiDo(StripIds) into Read-input-ParDo-UnboundedSourceAsSDFWrapper--ParMultiDo-UnboundedSourceAsSDFWrapper-/ProcessElementAndRestrictionWithSizing
Nov 04, 2022 12:41:30 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-04T12:41:28.147Z: Fusing consumer ParDo(TimeMonitor)/ParMultiDo(TimeMonitor) into Read input/ParDo(StripIds)/ParMultiDo(StripIds)
Nov 04, 2022 12:41:30 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-04T12:41:28.185Z: Fusing consumer ParDo(ByteMonitor)/ParMultiDo(ByteMonitor) into ParDo(TimeMonitor)/ParMultiDo(TimeMonitor)
Nov 04, 2022 12:41:30 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-04T12:41:28.207Z: Fusing consumer Step: 0/ParMultiDo(CounterOperation) into ParDo(ByteMonitor)/ParMultiDo(ByteMonitor)
Nov 04, 2022 12:41:30 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-04T12:41:28.238Z: Fusing consumer ParDo(TimeMonitor)2/ParMultiDo(TimeMonitor) into Step: 0/ParMultiDo(CounterOperation)
Nov 04, 2022 12:41:30 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-04T12:41:28.360Z: Running job using Streaming Engine
Nov 04, 2022 12:41:30 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-04T12:41:28.625Z: Starting 5 ****s in us-central1-a...
Nov 04, 2022 12:41:43 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-04T12:41:41.548Z: Your project already contains 100 Dataflow-created metric descriptors, so new user metrics of the form custom.googleapis.com/* will not be created. However, all user metrics are also available in the metric dataflow.googleapis.com/job/user_counter. If you rely on the custom metrics, you can delete old / unused metric descriptors. See https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.list and https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.delete
Nov 04, 2022 12:42:24 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-04T12:42:22.238Z: Autoscaling: Raised the number of ****s to 4 so that the pipeline can catch up with its backlog and keep up with its input rate.
Nov 04, 2022 12:42:24 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-04T12:42:22.262Z: Autoscaling: Resized **** pool to 4, though goal was 5. This could be a quota issue.
Nov 04, 2022 12:42:45 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-04T12:42:42.977Z: 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.
Nov 04, 2022 12:43:14 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-04T12:43:14.048Z: Workers have started successfully.
Nov 04, 2022 12:45:41 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-04T12:45:41.217Z: Cleaning up.
Nov 04, 2022 12:45:41 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-04T12:45:41.347Z: Stopping **** pool...
Nov 04, 2022 12:45:41 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-04T12:45:41.406Z: Stopping **** pool...
Nov 04, 2022 12:48:00 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-04T12:47:59.735Z: Autoscaling: Reduced the number of ****s to 0 based on low average **** CPU utilization, and the pipeline having sufficiently low backlog and keeping up with input rate.
Nov 04, 2022 12:48:00 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-04T12:47:59.787Z: Worker pool stopped.
Nov 04, 2022 12:48:05 PM org.apache.beam.runners.dataflow.DataflowPipelineJob logTerminalState
INFO: Job 2022-11-04_05_41_10-9739031264656578655 finished with status DONE.
Load test results for test (ID): 286521ca-9619-48ac-b1b8-feea47ac2904 and timestamp: 2022-11-04T12:41:05.670000000Z:
Metric: Value:
dataflow_v2_java17_runtime_sec 46.325
dataflow_v2_java17_total_bytes_count 2.2126745E9
> Task :runners:google-cloud-dataflow-java:cleanUpDockerJavaImages
Untagged: us.gcr.io/apache-beam-testing/java-postcommit-it/java:20221104124031
Untagged: us.gcr.io/apache-beam-testing/java-postcommit-it/java@sha256:7eb411f4045b53302bada1da87019f783fd7bde4d9f25ddb3ea2c3dec11eae00
WARNING: Successfully resolved tag to sha256, but it is recommended to use sha256 directly.
Tag: [us.gcr.io/apache-beam-testing/java-postcommit-it/java:20221104124031]
- referencing digest: [us.gcr.io/apache-beam-testing/java-postcommit-it/java@sha256:7eb411f4045b53302bada1da87019f783fd7bde4d9f25ddb3ea2c3dec11eae00]
Deleted [[us.gcr.io/apache-beam-testing/java-postcommit-it/java:20221104124031] (referencing [us.gcr.io/apache-beam-testing/java-postcommit-it/java@sha256:7eb411f4045b53302bada1da87019f783fd7bde4d9f25ddb3ea2c3dec11eae00])].
Removing untagged image us.gcr.io/apache-beam-testing/java-postcommit-it/java@sha256:6beada0901230c103daf6da5d9de85eabfc063f05cffa024fbd687c2e6a5c713
Digests:
- us.gcr.io/apache-beam-testing/java-postcommit-it/java@sha256:6beada0901230c103daf6da5d9de85eabfc063f05cffa024fbd687c2e6a5c713
ERROR: (gcloud.container.images.delete) Not found: response: {'docker-distribution-api-version': 'registry/2.0', 'content-type': 'application/json', 'content-encoding': 'gzip', 'date': 'Fri, 04 Nov 2022 12:48:12 GMT', 'server': 'Docker Registry', 'cache-control': 'private', 'x-xss-protection': '0', 'x-frame-options': 'SAMEORIGIN', 'transfer-encoding': 'chunked', 'status': 404}
Failed to compute blob liveness for manifest: 'sha256:6beada0901230c103daf6da5d9de85eabfc063f05cffa024fbd687c2e6a5c713': 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: 304
* 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.
* 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 42s
108 actionable tasks: 9 executed, 99 up-to-date
Publishing build scan...
https://gradle.com/s/tm2imrwoe44po
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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