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Posted to builds@beam.apache.org by Apache Jenkins Server <je...@builds.apache.org> on 2022/05/04 16:03:35 UTC

Build failed in Jenkins: beam_LoadTests_Java_GBK_Dataflow_V2_Streaming_Java17 #135

See <https://ci-beam.apache.org/job/beam_LoadTests_Java_GBK_Dataflow_V2_Streaming_Java17/135/display/redirect?page=changes>

Changes:

[noreply] fix: JDBC config schema fields order

[Brian Hulette] Revert "Merge pull request #17255 from kileys/test-revert"

[Brian Hulette] BEAM-14231: bypass schema cache for

[noreply] [BEAM-13657] Follow up update version warning in __init__ (#17493)

[noreply] Merge pull request #17431 from [BEAM-14273] Add integration tests for BQ

[noreply] Merge pull request #17205 from [BEAM-14145] [Website] add carousel to

[noreply] [BEAM-14064] fix es io windowing (#17112)

[noreply] [BEAM-13670] Upgraded ipython from v7 to v8 (#17529)

[noreply] [BEAM-11104] Enable ProcessContinuation return values, add unit test

[Robert Bradshaw] [BEAM-14403] Allow Prime to be used with legacy workers.

[noreply] [BEAM-11106] Support drain in Go SDK (#17432)

[noreply] add __Init__ to inference. (#17514)


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May 04, 2022 1:50:35 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-04T13:50:34.735Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
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INFO: 2022-05-04T13:51:37.440Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
May 04, 2022 1:53:40 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-04T13:53:40.229Z: 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 04, 2022 1:58:44 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-04T13:58:43.594Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
May 04, 2022 1:59:43 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-04T13:59:42.551Z: 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 04, 2022 2:00:49 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-04T14:00:48.351Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
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INFO: 2022-05-04T14:01:51.863Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
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INFO: 2022-05-04T14:04:51.015Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
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INFO: 2022-05-04T14:07:54.216Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
May 04, 2022 2:08:58 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-04T14:08:57.522Z: 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 04, 2022 2:09:56 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-04T14:09:56.380Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
May 04, 2022 2:10:59 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-04T14:10:58.721Z: 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 04, 2022 2:13:01 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-04T14:13:01.602Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
May 04, 2022 2:15:07 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
SEVERE: 2022-05-04T14:15:05.767Z: generic::cancelled: Data channel closed, unable to send additional data to SDK sdk-0-0
generic::cancelled: Data channel closed, unable to send additional data to SDK sdk-0-0
passed through:
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    dist_proc/dax/workflow/****/fnapi_service_impl.cc:922
May 04, 2022 2:16:05 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-04T14:16:04.857Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
May 04, 2022 2:18:04 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-04T14:18:04.456Z: 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.
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INFO: 2022-05-04T14:19:07.749Z: 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 04, 2022 2:23:12 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-04T14:23:11.036Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
May 04, 2022 2:25:18 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
SEVERE: 2022-05-04T14:25:16.141Z: generic::aborted: SDK harness sdk-0-0 disconnected.
passed through:
==>
    dist_proc/dax/workflow/****/fnapi_service_impl.cc:922
generic::aborted: SDK harness sdk-0-0 disconnected.
May 04, 2022 2:26:09 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-04T14:26:09.950Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
May 04, 2022 2:32:13 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-04T14:32:13.539Z: 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 04, 2022 2:33:18 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-04T14:33:16.754Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
May 04, 2022 2:33:21 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
SEVERE: 2022-05-04T14:33:19.779Z: generic::aborted: SDK harness sdk-0-0 disconnected.
passed through:
==>
    dist_proc/dax/workflow/****/fnapi_service_impl.cc:922
generic::aborted: SDK harness sdk-0-0 disconnected.
May 04, 2022 2:37:16 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-04T14:37:15.240Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
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INFO: 2022-05-04T14:41:18.232Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
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INFO: 2022-05-04T14:45:31.473Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
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INFO: 2022-05-04T14:47:23.844Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
May 04, 2022 2:48:23 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-04T14:48:22.765Z: 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.
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INFO: 2022-05-04T14:52:25.839Z: 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 04, 2022 2:53:29 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-04T14:53:28.232Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
May 04, 2022 2:58:29 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-04T14:58:28.977Z: 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.
May 04, 2022 3:02:34 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-04T15:02:32.649Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
May 04, 2022 3:03:37 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-04T15:03:36.018Z: 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 04, 2022 3:05:28 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
SEVERE: 2022-05-04T15:05:24.945Z: generic::aborted: SDK harness sdk-0-0 disconnected.
passed through:
==>
    dist_proc/dax/workflow/****/fnapi_service_impl.cc:922
generic::aborted: SDK harness sdk-0-0 disconnected.
passed through:
==>
    dist_proc/dax/workflow/****/monitoring_info_view_creator.cc:68
generic::aborted: SDK harness sdk-0-0 disconnected.
May 04, 2022 3:05:35 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-04T15:05:35.158Z: 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 04, 2022 3:07:39 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-04T15:07:38.183Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
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INFO: 2022-05-04T15:10:41.094Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
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INFO: 2022-05-04T15:12:43.534Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
May 04, 2022 3:13:43 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-04T15:13:42.557Z: 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 04, 2022 3:17:47 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-04T15:17:45.593Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
May 04, 2022 3:20:50 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-04T15:20:48.413Z: 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 04, 2022 3:24:49 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-04T15:24:48.105Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
May 04, 2022 3:26:51 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-04T15:26:50.831Z: 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 04, 2022 3:28:55 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-04T15:28:53.709Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
May 04, 2022 3:34:55 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-04T15:34:53.385Z: 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 04, 2022 3:36:08 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-04T15:36:05.892Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
May 04, 2022 3:36:58 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-04T15:36:58.076Z: 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 04, 2022 3:39:01 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-04T15:39:00.957Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
May 04, 2022 3:44:02 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-04T15:44:00.850Z: 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 04, 2022 3:45:04 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-04T15:45:03.317Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
May 04, 2022 3:48:18 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-04T15:48:16.465Z: 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 04, 2022 3:49:19 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-04T15:49:19.103Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
May 04, 2022 3:55:10 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-04T15:55:08.459Z: 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 04, 2022 4:00:41 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-04T16:00:40.973Z: Cancel request is committed for workflow job: 2022-05-04_06_00_24-5750587611598371040.
May 04, 2022 4:00:41 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-04T16:00:41.007Z: Cleaning up.
May 04, 2022 4:00:41 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-04T16:00:41.095Z: Stopping **** pool...
May 04, 2022 4:00:41 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-04T16:00:41.146Z: Stopping **** pool...
May 04, 2022 4:03:19 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-04T16:03:18.700Z: Autoscaling: Reduced the number of ****s to 0 based on low average **** CPU utilization, and the pipeline having sufficiently low backlog and keeping up with input rate.
May 04, 2022 4:03:19 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-04T16:03:18.834Z: Worker pool stopped.
May 04, 2022 4:03:24 PM org.apache.beam.runners.dataflow.DataflowPipelineJob logTerminalState
INFO: Job 2022-05-04_06_00_24-5750587611598371040 finished with status CANCELLED.
Load test results for test (ID): e7a83c32-f739-459d-a7c6-ef6aa2183af1 and timestamp: 2022-05-04T13:00:18.269000000Z:
                 Metric:                    Value:
dataflow_v2_java17_runtime_sec                 10460.734
dataflow_v2_java17_total_bytes_count              5.04006186E9
Exception in thread "main" java.lang.RuntimeException: Invalid job state: CANCELLED.
	at org.apache.beam.sdk.loadtests.JobFailure.handleFailure(JobFailure.java:51)
	at org.apache.beam.sdk.loadtests.LoadTest.run(LoadTest.java:139)
	at org.apache.beam.sdk.loadtests.GroupByKeyLoadTest.run(GroupByKeyLoadTest.java:57)
	at org.apache.beam.sdk.loadtests.GroupByKeyLoadTest.main(GroupByKeyLoadTest.java:131)

> Task :sdks:java:testing:load-tests:run FAILED

> Task :runners:google-cloud-dataflow-java:cleanUpDockerJavaImages
Untagged: us.gcr.io/apache-beam-testing/java-postcommit-it/java:20220504125741
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Tag: [us.gcr.io/apache-beam-testing/java-postcommit-it/java:20220504125741]
- referencing digest: [us.gcr.io/apache-beam-testing/java-postcommit-it/java@sha256:9b982456a8310eb0d5d0ce345baecc79efffdf7f3eb83cf910691c07c5f3f15f]

Deleted [[us.gcr.io/apache-beam-testing/java-postcommit-it/java:20220504125741] (referencing [us.gcr.io/apache-beam-testing/java-postcommit-it/java@sha256:9b982456a8310eb0d5d0ce345baecc79efffdf7f3eb83cf910691c07c5f3f15f])].
Removing untagged image us.gcr.io/apache-beam-testing/java-postcommit-it/java@sha256:9b982456a8310eb0d5d0ce345baecc79efffdf7f3eb83cf910691c07c5f3f15f
Digests:
- us.gcr.io/apache-beam-testing/java-postcommit-it/java@sha256:9b982456a8310eb0d5d0ce345baecc79efffdf7f3eb83cf910691c07c5f3f15f
ERROR: (gcloud.container.images.delete) Not found: response: {'docker-distribution-api-version': 'registry/2.0', 'content-type': 'application/json', 'date': 'Wed, 04 May 2022 16:03:31 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: 'sha256:9b982456a8310eb0d5d0ce345baecc79efffdf7f3eb83cf910691c07c5f3f15f': None

> Task :runners:google-cloud-dataflow-java:cleanUpDockerJavaImages FAILED

FAILURE: Build completed with 2 failures.

1: Task failed with an exception.
-----------
* What went wrong:
Execution failed for task ':sdks:java:testing:load-tests:run'.
> Process 'command '/usr/lib/jvm/java-8-openjdk-amd64/bin/java'' 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.
==============================================================================

2: Task failed with an exception.
-----------
* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Java_GBK_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 3h 6m 7s
110 actionable tasks: 73 executed, 33 from cache, 4 up-to-date

Publishing build scan...
https://gradle.com/s/x5sepxxywykpg

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_GBK_Dataflow_V2_Streaming_Java17 #141

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Build failed in Jenkins: beam_LoadTests_Java_GBK_Dataflow_V2_Streaming_Java17 #140

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Java_GBK_Dataflow_V2_Streaming_Java17/140/display/redirect?page=changes>

Changes:

[elias.segundo] Changing elegibility to AllNodeElegibility

[chamikaramj] Adds code reviewers for GCP I/O connectors and KafkaIO to Beam OWNERS


------------------------------------------
[...truncated 57.61 KB...]
INFO: 2022-05-09T13:00:05.364Z: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
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INFO: 2022-05-09T13:00:05.456Z: Fusing adjacent ParDo, Read, Write, and Flatten operations
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INFO: 2022-05-09T13:00:05.489Z: Fusing consumer Read input/ParDo(OutputSingleSource)/ParMultiDo(OutputSingleSource) into Read input/Impulse
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INFO: 2022-05-09T13:00:05.522Z: Fusing consumer Read-input-ParDo-UnboundedSourceAsSDFWrapper--ParMultiDo-UnboundedSourceAsSDFWrapper-/PairWithRestriction into Read input/ParDo(OutputSingleSource)/ParMultiDo(OutputSingleSource)
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INFO: 2022-05-09T13:00:05.555Z: Fusing consumer Read-input-ParDo-UnboundedSourceAsSDFWrapper--ParMultiDo-UnboundedSourceAsSDFWrapper-/SplitWithSizing into Read-input-ParDo-UnboundedSourceAsSDFWrapper--ParMultiDo-UnboundedSourceAsSDFWrapper-/PairWithRestriction
May 09, 2022 1:00:06 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-09T13:00:05.578Z: Fusing consumer Read input/ParDo(StripIds)/ParMultiDo(StripIds) into Read-input-ParDo-UnboundedSourceAsSDFWrapper--ParMultiDo-UnboundedSourceAsSDFWrapper-/ProcessElementAndRestrictionWithSizing
May 09, 2022 1:00:06 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-09T13:00:05.602Z: Fusing consumer Collect start time metrics/ParMultiDo(TimeMonitor) into Read input/ParDo(StripIds)/ParMultiDo(StripIds)
May 09, 2022 1:00:06 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-09T13:00:05.663Z: Fusing consumer Total bytes monitor/ParMultiDo(ByteMonitor) into Collect start time metrics/ParMultiDo(TimeMonitor)
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INFO: 2022-05-09T13:00:05.684Z: Fusing consumer Window.Into()/Window.Assign into Total bytes monitor/ParMultiDo(ByteMonitor)
May 09, 2022 1:00:06 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-09T13:00:05.721Z: Fusing consumer Group by key (0)/WriteStream into Window.Into()/Window.Assign
May 09, 2022 1:00:06 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-09T13:00:05.754Z: Fusing consumer Group by key (0)/MergeBuckets into Group by key (0)/ReadStream
May 09, 2022 1:00:06 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-09T13:00:05.778Z: Fusing consumer Ungroup and reiterate (0)/ParMultiDo(UngroupAndReiterate) into Group by key (0)/MergeBuckets
May 09, 2022 1:00:06 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-09T13:00:05.816Z: Fusing consumer Collect end time metrics (0)/ParMultiDo(TimeMonitor) into Ungroup and reiterate (0)/ParMultiDo(UngroupAndReiterate)
May 09, 2022 1:00:06 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-09T13:00:05.916Z: Running job using Streaming Engine
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INFO: 2022-05-09T13:00:06.131Z: Starting 5 ****s in us-central1-b...
May 09, 2022 1:00:16 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-09T13:00:14.908Z: Your project already contains 100 Dataflow-created metric descriptors, so new user metrics of the form custom.googleapis.com/* will not be created. However, all user metrics are also available in the metric dataflow.googleapis.com/job/user_counter. If you rely on the custom metrics, you can delete old / unused metric descriptors. See https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.list and https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.delete
May 09, 2022 1:00:35 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-09T13:00:33.146Z: 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 09, 2022 1:01:42 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-09T13:01:40.802Z: Workers have started successfully.
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INFO: 2022-05-09T13:27:38.315Z: 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.
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INFO: 2022-05-09T13:28:40.860Z: 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.
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INFO: 2022-05-09T13:29:43.118Z: 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.
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INFO: 2022-05-09T13:30:45.814Z: 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.
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INFO: 2022-05-09T13:31:49.079Z: 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.
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INFO: 2022-05-09T13:35:46.768Z: 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.
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INFO: 2022-05-09T13:42:49.717Z: 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.
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INFO: 2022-05-09T13:43:51.891Z: 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.
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INFO: 2022-05-09T13:44:54.038Z: 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.
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INFO: 2022-05-09T13:50:56.913Z: 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.
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INFO: 2022-05-09T13:51:59.502Z: 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.
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INFO: 2022-05-09T13:53:07.667Z: 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.
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INFO: 2022-05-09T13:54:00.102Z: 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.
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INFO: 2022-05-09T13:55:02.529Z: 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.
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INFO: 2022-05-09T14:02:05.988Z: 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.
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INFO: 2022-05-09T14:03:04.574Z: 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.
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INFO: 2022-05-09T14:06:07.536Z: 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.
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INFO: 2022-05-09T14:09:20.403Z: 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 09, 2022 2:10:15 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-09T14:10:13.272Z: 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 09, 2022 2:13:12 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-09T14:13:11.322Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
May 09, 2022 2:14:15 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-09T14:14:13.746Z: 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 09, 2022 2:17:09 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
SEVERE: 2022-05-09T14:17:06.872Z: generic::aborted: SDK harness sdk-0-0 disconnected.
generic::aborted: SDK harness sdk-0-0 disconnected.
passed through:
==>
    dist_proc/dax/workflow/****/fnapi_service_impl.cc:922
May 09, 2022 2:17:16 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-09T14:17:16.323Z: 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.
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INFO: 2022-05-09T14:19:18.931Z: 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 09, 2022 2:23:22 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-09T14:23:21.797Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
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INFO: 2022-05-09T14:26:20.409Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
May 09, 2022 2:27:24 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-09T14:27:22.721Z: 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.
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INFO: 2022-05-09T14:28:25.129Z: 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.
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INFO: 2022-05-09T14:30:27.872Z: 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 09, 2022 2:31:32 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-09T14:31:30.289Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
May 09, 2022 2:34:29 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-09T14:34:29.494Z: 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 09, 2022 2:35:32 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-09T14:35:31.847Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
May 09, 2022 2:36:34 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-09T14:36:34.292Z: 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 09, 2022 2:38:38 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-09T14:38:36.648Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
May 09, 2022 2:39:40 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-09T14:39:39.062Z: 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 09, 2022 2:42:43 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-09T14:42:41.672Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
May 09, 2022 2:43:52 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-09T14:43:50.329Z: 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 09, 2022 2:48:44 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-09T14:48:43.036Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
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INFO: 2022-05-09T14:49:45.232Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
May 09, 2022 2:50:48 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-09T14:50:47.768Z: 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.
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INFO: 2022-05-09T14:51:50.178Z: 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 09, 2022 2:55:52 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-09T14:55:52.676Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
May 09, 2022 2:56:53 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-09T14:56:51.079Z: 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 09, 2022 2:58:26 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
SEVERE: 2022-05-09T14:58:24.831Z: generic::aborted: SDK harness sdk-0-0 disconnected.
generic::aborted: SDK harness sdk-0-0 disconnected.
passed through:
==>
    dist_proc/dax/workflow/****/fnapi_service_impl.cc:922
May 09, 2022 2:58:55 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-09T14:58:53.280Z: 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 09, 2022 3:00:07 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-09T15:00:05.906Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
May 09, 2022 3:04:00 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-09T15:03:58.728Z: 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.
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INFO: 2022-05-09T15:06:00.984Z: 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.
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INFO: 2022-05-09T15:08:03.644Z: 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.
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INFO: 2022-05-09T15:09:01.890Z: 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.
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INFO: 2022-05-09T15:12:04.640Z: 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.
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INFO: 2022-05-09T15:15:07.843Z: 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.
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INFO: 2022-05-09T15:16:10.159Z: 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.
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INFO: 2022-05-09T15:18:08.602Z: 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.
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INFO: 2022-05-09T15:22:11.704Z: 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.
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INFO: 2022-05-09T15:27:14.390Z: 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.
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INFO: 2022-05-09T15:28:17.238Z: 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 09, 2022 3:29:15 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-09T15:29:15.459Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
May 09, 2022 3:30:21 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-09T15:30:19.095Z: 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.
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INFO: 2022-05-09T15:35:22.705Z: 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 09, 2022 3:37:27 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-09T15:37:25.064Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
May 09, 2022 3:38:24 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-09T15:38:24.115Z: 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 09, 2022 3:43:27 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-09T15:43:26.955Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
May 09, 2022 3:44:30 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-09T15:44:29.142Z: 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 09, 2022 3:45:31 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-09T15:45:31.472Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
May 09, 2022 3:46:34 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-09T15:46:33.892Z: 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 09, 2022 3:53:34 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-09T15:53:33.317Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
May 09, 2022 3:55:37 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-09T15:55:35.799Z: 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 09, 2022 3:57:39 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-09T15:57:38.165Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
May 09, 2022 4:00:40 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-09T16:00:39.347Z: Cancel request is committed for workflow job: 2022-05-09_05_59_53-16328934107379372724.
May 09, 2022 4:00:40 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-09T16:00:39.374Z: Cleaning up.
May 09, 2022 4:00:40 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-09T16:00:39.432Z: Stopping **** pool...
May 09, 2022 4:00:40 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-09T16:00:39.495Z: Stopping **** pool...
May 09, 2022 4:03:11 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-09T16:03:09.565Z: 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.
May 09, 2022 4:03:11 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-09T16:03:09.604Z: Worker pool stopped.
May 09, 2022 4:03:15 PM org.apache.beam.runners.dataflow.DataflowPipelineJob logTerminalState
INFO: Job 2022-05-09_05_59_53-16328934107379372724 finished with status CANCELLED.
Load test results for test (ID): eeda8390-0e6c-4ec0-873d-600739ceb2e9 and timestamp: 2022-05-09T12:59:47.359000000Z:
                 Metric:                    Value:
dataflow_v2_java17_runtime_sec                 10080.697
dataflow_v2_java17_total_bytes_count              5.22449772E9
Exception in thread "main" java.lang.RuntimeException: Invalid job state: CANCELLED.
	at org.apache.beam.sdk.loadtests.JobFailure.handleFailure(JobFailure.java:51)
	at org.apache.beam.sdk.loadtests.LoadTest.run(LoadTest.java:139)
	at org.apache.beam.sdk.loadtests.GroupByKeyLoadTest.run(GroupByKeyLoadTest.java:57)
	at org.apache.beam.sdk.loadtests.GroupByKeyLoadTest.main(GroupByKeyLoadTest.java:131)

> Task :sdks:java:testing:load-tests:run FAILED

> Task :runners:google-cloud-dataflow-java:cleanUpDockerJavaImages
Untagged: us.gcr.io/apache-beam-testing/java-postcommit-it/java:20220509125737
Untagged: us.gcr.io/apache-beam-testing/java-postcommit-it/java@sha256:223d382383ef1206132c3a1f253ec093b78b0ea1595554dbe1b21f6b1a64bb69
Tag: [us.gcr.io/apache-beam-testing/java-postcommit-it/java:20220509125737]
- referencing digest: [us.gcr.io/apache-beam-testing/java-postcommit-it/java@sha256:223d382383ef1206132c3a1f253ec093b78b0ea1595554dbe1b21f6b1a64bb69]

Deleted [[us.gcr.io/apache-beam-testing/java-postcommit-it/java:20220509125737] (referencing [us.gcr.io/apache-beam-testing/java-postcommit-it/java@sha256:223d382383ef1206132c3a1f253ec093b78b0ea1595554dbe1b21f6b1a64bb69])].
Removing untagged image us.gcr.io/apache-beam-testing/java-postcommit-it/java@sha256:223d382383ef1206132c3a1f253ec093b78b0ea1595554dbe1b21f6b1a64bb69
Digests:
- us.gcr.io/apache-beam-testing/java-postcommit-it/java@sha256:223d382383ef1206132c3a1f253ec093b78b0ea1595554dbe1b21f6b1a64bb69
Deleted [us.gcr.io/apache-beam-testing/java-postcommit-it/java@sha256:223d382383ef1206132c3a1f253ec093b78b0ea1595554dbe1b21f6b1a64bb69].

FAILURE: Build failed with an exception.

* What went wrong:
Execution failed for task ':sdks:java:testing:load-tests:run'.
> Process 'command '/usr/lib/jvm/java-8-openjdk-amd64/bin/java'' 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 3h 5m 59s
110 actionable tasks: 73 executed, 33 from cache, 4 up-to-date

Publishing build scan...
https://gradle.com/s/u6bibvgfp27qu

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Java_GBK_Dataflow_V2_Streaming_Java17 #139

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Java_GBK_Dataflow_V2_Streaming_Java17/139/display/redirect>

Changes:


------------------------------------------
[...truncated 51.15 KB...]
> Task :sdks:java:testing:load-tests:run
May 08, 2022 12:59:56 PM org.apache.beam.runners.dataflow.options.DataflowPipelineOptions$StagingLocationFactory create
INFO: No stagingLocation provided, falling back to gcpTempLocation
May 08, 2022 12:59:56 PM org.apache.beam.runners.dataflow.DataflowRunner fromOptions
INFO: PipelineOptions.filesToStage was not specified. Defaulting to files from the classpath: will stage 222 files. Enable logging at DEBUG level to see which files will be staged.
May 08, 2022 12:59:57 PM org.apache.beam.runners.dataflow.DataflowRunner run
INFO: Executing pipeline on the Dataflow Service, which will have billing implications related to Google Compute Engine usage and other Google Cloud Services.
May 08, 2022 1:00:00 PM org.apache.beam.runners.dataflow.util.PackageUtil stageClasspathElements
INFO: Uploading 222 files from PipelineOptions.filesToStage to staging location to prepare for execution.
May 08, 2022 1:00:01 PM org.apache.beam.runners.dataflow.util.PackageUtil stageClasspathElements
INFO: Staging files complete: 222 files cached, 0 files newly uploaded in 0 seconds
May 08, 2022 1:00:01 PM org.apache.beam.runners.dataflow.DataflowRunner run
INFO: Staging portable pipeline proto to gs://temp-storage-for-perf-tests/loadtests/staging/
May 08, 2022 1:00:01 PM org.apache.beam.runners.dataflow.util.PackageUtil tryStagePackage
INFO: Uploading <98338 bytes, hash 48b28e21a12d9080d50d6ad7f11a3df1be53e7d9cb6669f3814e5a45b2fa8957> to gs://temp-storage-for-perf-tests/loadtests/staging/pipeline-SLKOIaEtkIDVDWrX8Ro98b5T59nLZmnzgU5aRbL6iVc.pb
May 08, 2022 1:00:03 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding Read input/DataflowRunner.StreamingUnboundedRead.ReadWithIds as step s1
May 08, 2022 1:00:03 PM org.apache.beam.sdk.io.synthetic.SyntheticUnboundedSource split
INFO: Split into 20 bundles of sizes: [org.apache.beam.sdk.io.synthetic.SyntheticUnboundedSource@8cc8cdb, org.apache.beam.sdk.io.synthetic.SyntheticUnboundedSource@1e236278, org.apache.beam.sdk.io.synthetic.SyntheticUnboundedSource@44fff386, org.apache.beam.sdk.io.synthetic.SyntheticUnboundedSource@1fc713c9, org.apache.beam.sdk.io.synthetic.SyntheticUnboundedSource@7301eebe, org.apache.beam.sdk.io.synthetic.SyntheticUnboundedSource@76b47204, org.apache.beam.sdk.io.synthetic.SyntheticUnboundedSource@4d6ccc97, org.apache.beam.sdk.io.synthetic.SyntheticUnboundedSource@6a12c7a8, org.apache.beam.sdk.io.synthetic.SyntheticUnboundedSource@161aa04a, org.apache.beam.sdk.io.synthetic.SyntheticUnboundedSource@436bd4df, org.apache.beam.sdk.io.synthetic.SyntheticUnboundedSource@6848a051, org.apache.beam.sdk.io.synthetic.SyntheticUnboundedSource@149b0577, org.apache.beam.sdk.io.synthetic.SyntheticUnboundedSource@5740ff5e, org.apache.beam.sdk.io.synthetic.SyntheticUnboundedSource@4a901445, org.apache.beam.sdk.io.synthetic.SyntheticUnboundedSource@67f77f6e, org.apache.beam.sdk.io.synthetic.SyntheticUnboundedSource@2b0b7e5a, org.apache.beam.sdk.io.synthetic.SyntheticUnboundedSource@7be1ce6a, org.apache.beam.sdk.io.synthetic.SyntheticUnboundedSource@3119cf6f, org.apache.beam.sdk.io.synthetic.SyntheticUnboundedSource@6dc9da2d, org.apache.beam.sdk.io.synthetic.SyntheticUnboundedSource@1d408060]
May 08, 2022 1:00:03 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding Read input/StripIds as step s2
May 08, 2022 1:00:03 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding Collect start time metrics as step s3
May 08, 2022 1:00:03 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding Total bytes monitor as step s4
May 08, 2022 1:00:03 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding Window.Into()/Window.Assign as step s5
May 08, 2022 1:00:03 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding Group by key (0) as step s6
May 08, 2022 1:00:03 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding Ungroup and reiterate (0) as step s7
May 08, 2022 1:00:03 PM org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding Collect end time metrics (0) as step s8
May 08, 2022 1:00:03 PM org.apache.beam.runners.dataflow.DataflowRunner run
INFO: Dataflow SDK version: 2.40.0-SNAPSHOT
May 08, 2022 1:00:04 PM org.apache.beam.runners.dataflow.DataflowRunner run
INFO: To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2022-05-08_06_00_03-13163426970469888448?project=apache-beam-testing
May 08, 2022 1:00:04 PM org.apache.beam.runners.dataflow.DataflowRunner run
INFO: Submitted job: 2022-05-08_06_00_03-13163426970469888448
May 08, 2022 1:00:04 PM org.apache.beam.runners.dataflow.DataflowRunner run
INFO: To cancel the job using the 'gcloud' tool, run:
> gcloud dataflow jobs --project=apache-beam-testing cancel --region=us-central1 2022-05-08_06_00_03-13163426970469888448
May 08, 2022 1:00:12 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
WARNING: 2022-05-08T13:00:11.101Z: 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: load0tests0java170dataflow0v20streaming0gbk01-jenkins-0508-16po. 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 08, 2022 1:00:16 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-08T13:00:15.621Z: Worker configuration: e2-standard-2 in us-central1-b.
May 08, 2022 1:00:17 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-08T13:00:16.202Z: Expanding SplittableParDo operations into optimizable parts.
May 08, 2022 1:00:17 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-08T13:00:16.238Z: Expanding CollectionToSingleton operations into optimizable parts.
May 08, 2022 1:00:17 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-08T13:00:16.303Z: Expanding CoGroupByKey operations into optimizable parts.
May 08, 2022 1:00:17 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-08T13:00:16.387Z: Expanding SplittableProcessKeyed operations into optimizable parts.
May 08, 2022 1:00:17 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-08T13:00:16.423Z: Expanding GroupByKey operations into streaming Read/Write steps
May 08, 2022 1:00:17 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-08T13:00:16.487Z: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
May 08, 2022 1:00:17 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-08T13:00:16.624Z: Fusing adjacent ParDo, Read, Write, and Flatten operations
May 08, 2022 1:00:17 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-08T13:00:16.660Z: Fusing consumer Read input/ParDo(OutputSingleSource)/ParMultiDo(OutputSingleSource) into Read input/Impulse
May 08, 2022 1:00:17 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-08T13:00:16.692Z: Fusing consumer Read-input-ParDo-UnboundedSourceAsSDFWrapper--ParMultiDo-UnboundedSourceAsSDFWrapper-/PairWithRestriction into Read input/ParDo(OutputSingleSource)/ParMultiDo(OutputSingleSource)
May 08, 2022 1:00:17 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-08T13:00:16.725Z: Fusing consumer Read-input-ParDo-UnboundedSourceAsSDFWrapper--ParMultiDo-UnboundedSourceAsSDFWrapper-/SplitWithSizing into Read-input-ParDo-UnboundedSourceAsSDFWrapper--ParMultiDo-UnboundedSourceAsSDFWrapper-/PairWithRestriction
May 08, 2022 1:00:17 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-08T13:00:16.781Z: Fusing consumer Read input/ParDo(StripIds)/ParMultiDo(StripIds) into Read-input-ParDo-UnboundedSourceAsSDFWrapper--ParMultiDo-UnboundedSourceAsSDFWrapper-/ProcessElementAndRestrictionWithSizing
May 08, 2022 1:00:17 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-08T13:00:16.802Z: Fusing consumer Collect start time metrics/ParMultiDo(TimeMonitor) into Read input/ParDo(StripIds)/ParMultiDo(StripIds)
May 08, 2022 1:00:17 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-08T13:00:16.833Z: Fusing consumer Total bytes monitor/ParMultiDo(ByteMonitor) into Collect start time metrics/ParMultiDo(TimeMonitor)
May 08, 2022 1:00:17 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-08T13:00:16.865Z: Fusing consumer Window.Into()/Window.Assign into Total bytes monitor/ParMultiDo(ByteMonitor)
May 08, 2022 1:00:17 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-08T13:00:16.896Z: Fusing consumer Group by key (0)/WriteStream into Window.Into()/Window.Assign
May 08, 2022 1:00:17 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-08T13:00:16.961Z: Fusing consumer Group by key (0)/MergeBuckets into Group by key (0)/ReadStream
May 08, 2022 1:00:17 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-08T13:00:16.991Z: Fusing consumer Ungroup and reiterate (0)/ParMultiDo(UngroupAndReiterate) into Group by key (0)/MergeBuckets
May 08, 2022 1:00:17 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-08T13:00:17.024Z: Fusing consumer Collect end time metrics (0)/ParMultiDo(TimeMonitor) into Ungroup and reiterate (0)/ParMultiDo(UngroupAndReiterate)
May 08, 2022 1:00:17 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-08T13:00:17.135Z: Running job using Streaming Engine
May 08, 2022 1:00:19 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-08T13:00:17.383Z: Starting 5 ****s in us-central1-b...
May 08, 2022 1:00:32 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-08T13:00:31.312Z: 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 08, 2022 1:00:41 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-08T13:00:40.891Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
May 08, 2022 1:01:48 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-08T13:01:47.991Z: Workers have started successfully.
May 08, 2022 1:24:33 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
SEVERE: 2022-05-08T13:24:32.300Z: generic::aborted: SDK harness sdk-0-0 disconnected.
passed through:
==>
    dist_proc/dax/workflow/****/fnapi_service_impl.cc:922
generic::aborted: SDK harness sdk-0-0 disconnected.
May 08, 2022 1:29:47 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-08T13:29:46.464Z: 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 08, 2022 1:30:52 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-08T13:30:48.812Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
May 08, 2022 1:32:39 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
SEVERE: 2022-05-08T13:32:37.904Z: generic::aborted: SDK harness sdk-0-0 disconnected.
passed through:
==>
    dist_proc/dax/workflow/****/fnapi_service_impl.cc:922
generic::aborted: SDK harness sdk-0-0 disconnected.
May 08, 2022 1:33:52 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-08T13:33:51.403Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
May 08, 2022 1:36:51 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-08T13:36:50.225Z: 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 08, 2022 1:37:53 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-08T13:37:52.645Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
May 08, 2022 1:39:43 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
SEVERE: 2022-05-08T13:39:41.152Z: generic::aborted: SDK harness sdk-0-0 disconnected.
passed through:
==>
    dist_proc/dax/workflow/****/fnapi_service_impl.cc:922
generic::aborted: SDK harness sdk-0-0 disconnected.
May 08, 2022 1:39:48 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
SEVERE: 2022-05-08T13:39:47.244Z: generic::aborted: SDK harness sdk-0-0 disconnected.
generic::aborted: SDK harness sdk-0-0 disconnected.
passed through:
==>
    dist_proc/dax/workflow/****/fnapi_service_impl.cc:922
May 08, 2022 1:42:56 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-08T13:42:55.274Z: 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 08, 2022 1:51:59 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-08T13:51:58.529Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
May 08, 2022 2:01:03 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-08T14:01:01.803Z: 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 08, 2022 2:10:02 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-08T14:10:00.357Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
May 08, 2022 2:19:03 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-08T14:19:03.348Z: 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 08, 2022 2:28:17 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-08T14:28:16.909Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
May 08, 2022 2:41:06 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-08T14:41:05.697Z: 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 08, 2022 2:52:10 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-08T14:52:09.268Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
May 08, 2022 3:01:10 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-08T15:01:09.096Z: 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 08, 2022 3:10:14 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-08T15:10:12.436Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
May 08, 2022 3:19:16 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-08T15:19:15.660Z: 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 08, 2022 3:28:25 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-08T15:28:24.945Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
May 08, 2022 3:37:21 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-08T15:37:19.507Z: 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 08, 2022 3:48:18 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-08T15:48:17.808Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
May 08, 2022 3:57:22 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-08T15:57:21.310Z: 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 08, 2022 4:00:57 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-08T16:00:57.235Z: Cancel request is committed for workflow job: 2022-05-08_06_00_03-13163426970469888448.
May 08, 2022 4:00:57 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-08T16:00:57.262Z: Cleaning up.
May 08, 2022 4:00:57 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-08T16:00:57.320Z: Stopping **** pool...
May 08, 2022 4:00:57 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-08T16:00:57.392Z: Stopping **** pool...
May 08, 2022 4:03:26 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-08T16:03:26.634Z: Autoscaling: Reduced the number of ****s to 0 based on low average **** CPU utilization, and the pipeline having sufficiently low backlog and keeping up with input rate.
May 08, 2022 4:03:26 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-08T16:03:26.692Z: Worker pool stopped.
May 08, 2022 4:03:33 PM org.apache.beam.runners.dataflow.DataflowPipelineJob logTerminalState
INFO: Job 2022-05-08_06_00_03-13163426970469888448 finished with status CANCELLED.
Load test results for test (ID): 96c5ab0f-705b-46b7-9187-997899665907 and timestamp: 2022-05-08T12:59:57.159000000Z:
                 Metric:                    Value:
dataflow_v2_java17_runtime_sec                  2328.627
dataflow_v2_java17_total_bytes_count              3.31344722E9
Exception in thread "main" java.lang.RuntimeException: Invalid job state: CANCELLED.
	at org.apache.beam.sdk.loadtests.JobFailure.handleFailure(JobFailure.java:51)
	at org.apache.beam.sdk.loadtests.LoadTest.run(LoadTest.java:139)
	at org.apache.beam.sdk.loadtests.GroupByKeyLoadTest.run(GroupByKeyLoadTest.java:57)
	at org.apache.beam.sdk.loadtests.GroupByKeyLoadTest.main(GroupByKeyLoadTest.java:131)

> Task :sdks:java:testing:load-tests:run FAILED

> Task :runners:google-cloud-dataflow-java:cleanUpDockerJavaImages
Untagged: us.gcr.io/apache-beam-testing/java-postcommit-it/java:20220508125746
Untagged: us.gcr.io/apache-beam-testing/java-postcommit-it/java@sha256:039601af6597ae20bef243145ecfafba320c334a30716f8eb5fc2cfe3a9f5ef3
Tag: [us.gcr.io/apache-beam-testing/java-postcommit-it/java:20220508125746]
- referencing digest: [us.gcr.io/apache-beam-testing/java-postcommit-it/java@sha256:039601af6597ae20bef243145ecfafba320c334a30716f8eb5fc2cfe3a9f5ef3]

Deleted [[us.gcr.io/apache-beam-testing/java-postcommit-it/java:20220508125746] (referencing [us.gcr.io/apache-beam-testing/java-postcommit-it/java@sha256:039601af6597ae20bef243145ecfafba320c334a30716f8eb5fc2cfe3a9f5ef3])].
Removing untagged image us.gcr.io/apache-beam-testing/java-postcommit-it/java@sha256:039601af6597ae20bef243145ecfafba320c334a30716f8eb5fc2cfe3a9f5ef3
Digests:
- us.gcr.io/apache-beam-testing/java-postcommit-it/java@sha256:039601af6597ae20bef243145ecfafba320c334a30716f8eb5fc2cfe3a9f5ef3
Deleted [us.gcr.io/apache-beam-testing/java-postcommit-it/java@sha256:039601af6597ae20bef243145ecfafba320c334a30716f8eb5fc2cfe3a9f5ef3].
Removing untagged image us.gcr.io/apache-beam-testing/java-postcommit-it/java@sha256:834a3075739c028d7e7b3cd67bca65d5ce5034c4bf58148ecf5c4dc28e64d192
Digests:
- us.gcr.io/apache-beam-testing/java-postcommit-it/java@sha256:834a3075739c028d7e7b3cd67bca65d5ce5034c4bf58148ecf5c4dc28e64d192
ERROR: (gcloud.container.images.delete) Not found: response: {'docker-distribution-api-version': 'registry/2.0', 'content-type': 'application/json', 'date': 'Sun, 08 May 2022 16:03:43 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: 'sha256:834a3075739c028d7e7b3cd67bca65d5ce5034c4bf58148ecf5c4dc28e64d192': None

> Task :runners:google-cloud-dataflow-java:cleanUpDockerJavaImages FAILED

FAILURE: Build completed with 2 failures.

1: Task failed with an exception.
-----------
* What went wrong:
Execution failed for task ':sdks:java:testing:load-tests:run'.
> Process 'command '/usr/lib/jvm/java-8-openjdk-amd64/bin/java'' 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.
==============================================================================

2: Task failed with an exception.
-----------
* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Java_GBK_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 3h 6m 15s
110 actionable tasks: 73 executed, 33 from cache, 4 up-to-date

Publishing build scan...
https://gradle.com/s/4nuhwxqvy4v6c

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Build failed in Jenkins: beam_LoadTests_Java_GBK_Dataflow_V2_Streaming_Java17 #138

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Java_GBK_Dataflow_V2_Streaming_Java17/138/display/redirect?page=changes>

Changes:

[kevinsijo] Setting up a basic directory

[kevinsijo] Mirroring Python SDK's directory structure

[kerrydc] Adds initial tests

[kevinsijo] 'runners' is the correct directory name

[Pablo Estrada] sketching the core API for JS SDK

[jonathanlui] add .gitignore for node/ts project

[Robert Bradshaw] Worker directory.

[Robert Bradshaw] Fix complile errors with explicit any for callables.

[Robert Bradshaw] Add worker entry point.

[Robert Bradshaw] Add proto generation code.

[Robert Bradshaw] Add generated proto files.

[Robert Bradshaw] Attempts to get ts protos to compile.

[Robert Bradshaw] Exclude ts protos for now.

[Robert Bradshaw] More changes to get ts protos working.

[Robert Bradshaw] Update scripts and config to get protos compiling.

[Robert Bradshaw] Update geenrated files.

[jonathanlui] add build and clean script to compile ts

[Robert Bradshaw] Generate server for loopback worker.

[Robert Bradshaw] Generated grpc servers for loopback.

[Robert Bradshaw] Add typescript formatter.

[Robert Bradshaw] Loopback server (that does nothing).

[Robert Bradshaw] Working server.

[Pablo Estrada] Starting expansion of primitive transforms

[Pablo Estrada] Starting to implement and support standard coders

[Robert Bradshaw] Also generate grpc clients.

[Robert Bradshaw] Basic implementation of worker harness.

[Pablo Estrada] fix the build

[Robert Bradshaw] Add some missing files for worker harness.

[Robert Bradshaw] Refactor operators to use registration.

[jonathanlui] enable ts in mocha

[jonathanlui] update readme

[jonathanlui] --save-dev @types/mocha

[jonathanlui] translate core_test.js to typescript

[Robert Bradshaw] Encapsulate worker service in a class.

[Kenneth Knowles] Port standard_coders_test to typescript (superficially)

[Pablo Estrada] Starting the proto translation of Impulse, ParDo, GBK

[Robert Bradshaw] Add some tests for the worker code.

[Robert Bradshaw] Fixing old lock file error.

[Pablo Estrada] Adding transform names and fixing GBK coder issue

[Robert Bradshaw] npx tsfmt -r src/apache_beam/base.ts src/apache_beam/transforms/core.ts

[Kenneth Knowles] switch to import style require() statements

[Kenneth Knowles] Add Coder interface using protobufjs classes

[Kenneth Knowles] BytesCoder with some failures

[noreply] Added GeneralObjectCoder and using it as coder for most transforms (#9)

[Kenneth Knowles] Fix order of arguments to deepEqual

[Kenneth Knowles] Encode expected encoding as binary

[Robert Bradshaw] Refactor API to allow for composites.

[jrmccluskey] Initial setup for automated Java expansion startup

[jrmccluskey] Update exp_service.ts

[Kenneth Knowles] Fix up coder deserialization

[Robert Bradshaw] Simplify GBK coder computation.

[Robert Bradshaw] Remove top-level PValue.

[Pablo Estrada] Make tests green

[Robert Bradshaw] Rename PValueish to PValue.

[jonathanlui] node runner

[jonathanlui] whitespaces

[Robert Bradshaw] Make Runner.run async.

[jonathanlui] bson and fast-deep-equal should not be listed as devdependency

[jrmccluskey] Add basic Dockerfile that starts ExternalWorkerPool

[Robert Bradshaw] Direct runner.

[kevinsijo] Testing expansion service communication

[Robert Bradshaw] Added flatten, assertion checkers.

[Pablo Estrada] progress on basic coders

[Robert Bradshaw] Fixing the build.

[Robert Bradshaw] Cleanup, simplify access.

[Pablo Estrada] Adding limited support for KVCoder and IterableCoder

[Robert Bradshaw] Introduce PipelineContext.

[Robert Bradshaw] Add toProto to all coders.

[Robert Bradshaw] Some work with coders.

[Robert Bradshaw] Remove debug logging.

[Robert Bradshaw] Use coders over data channel.

[Kenneth Knowles] explicitly sequence sub-coder serializations

[Kenneth Knowles] no more need to extend FakeCoder

[Kenneth Knowles] actually advance reader

[Kenneth Knowles] autoformat

[Kenneth Knowles] protobufjs already can write and read signed varints

[Kenneth Knowles] with improved test harness, kv has many more failures

[Kenneth Knowles] read bytescoder from correct position

[Kenneth Knowles] no more fake coders

[Kenneth Knowles] varint examples all work

[Kenneth Knowles] simplify coder value parsing

[Kenneth Knowles] global window coder

[Kenneth Knowles] fix swapEndian32

[Robert Bradshaw] Add P(...) operator.

[kevinsijo] Implementing RowCoder encoding.

[jrmccluskey] remove unused container dir

[kevinsijo] Corrected sorting of encoded positions to reflect an argsort instead.

[Robert Bradshaw] Populate environments.

[kevinsijo] Implementing RowCoder decoding.

[Kenneth Knowles] preliminary unbounded iterable coder

[Kenneth Knowles] friendlier description of standard coder test case

[Kenneth Knowles] fix test harness; iterable works

[jrmccluskey] first pass at boot.go

[jonathanlui] update package-lock.json

[jonathanlui] make NodeRunner a subclass of Runner

[jonathanlui] add waitUntilFinish interface member

[Pablo Estrada] Adding double coder

[Kenneth Knowles] scaffolding for windowed values

[Pablo Estrada] Adding type information to PColleciton and PTransform

[jonathanlui] fix direct runner

[Pablo Estrada] Adding typing information for DoFns

[Kenneth Knowles] add interval window

[Robert Bradshaw] Export PValue.

[Robert Bradshaw] Add CombineFn interface.

[Robert Bradshaw] Typed flatten.

[jonathanlui] add runAsync method to base.Runner

[Kenneth Knowles] add Long package

[Pablo Estrada] Adding more types. Making PValue typed

[Kenneth Knowles] instant coder draft

[Robert Bradshaw] Return job state from direct runner.

[Kenneth Knowles] type instant = long

[jonathanlui] implement NodeRunner.runPipeline

[Kenneth Knowles] autoformat

[kevinsijo] Completed implementation of basic row coder

[Kenneth Knowles] Fix IntervalWindowCoder, almost

[Kenneth Knowles] fix interval window coder

[Kenneth Knowles] autoformat

[Robert Bradshaw] loopback runner works

[Kenneth Knowles] move core element types into values.ts

[Kenneth Knowles] just build object directly to be cool

[Robert Bradshaw] GBK working on ULR.

[Robert Bradshaw] Async transforms.

[Robert Bradshaw] External transform grpah splicing.

[Kenneth Knowles] progress on windowed value: paneinfo encoding

[Robert Bradshaw] Fix merge.

[Robert Bradshaw] autoformat

[Kenneth Knowles] full windowed value coder

[kerrydc] Updates tests to use correct types, adds generics where needed to DoFns

[Robert Bradshaw] Add serialization librarires.'

[Robert Bradshaw] Add Split() PTransform, for producing multiple outputs from a single

[Robert Bradshaw] Schema-encoded external payloads.

[kevinsijo] Adding Schema inference from JSON

[Pablo Estrada] Removing unused directories

[Pablo Estrada] Support for finishBundle and improving typing annotations.

[Pablo Estrada] A base implementation of combiners with GBK/ParDo

[Robert Bradshaw] Fully propagate windowing information in both remote and direct runner.

[Robert Bradshaw] Make args and kwargs optional for python external transform.

[Robert Bradshaw] Infer schema for external transforms.

[Pablo Estrada] Implementing a custom combine fn as an example. Small fixes

[Robert Bradshaw] Fix missing windowing information in combiners.

[Robert Bradshaw] PostShuffle needn't group by key as that's already done.

[Robert Bradshaw] Guard pre-combine for global window only.

[Robert Bradshaw] WindowInto

[Robert Bradshaw] Fix optional kwargs.

[Robert Bradshaw] A couple of tweaks for js + py

[Robert Bradshaw] Add windowing file.

[Robert Bradshaw] CombineBy transform, stand-alone WordCount.

[Robert Bradshaw] cleanup

[Robert Bradshaw] Actually fix optional external kwargs.

[Robert Bradshaw] Demo2, textio read.

[Robert Bradshaw] Add command lines for starting up the servers.

[Robert Bradshaw] Run prettier on the full codebase.

[Robert Bradshaw] Update deps.

[Pablo Estrada] Adding docstrings for core.ts. Prettier dependency

[Pablo Estrada] Documenting coder interfaces

[Pablo Estrada] Added documentation for a few standard coders

[Robert Bradshaw] Unified grouping and combining.

[Robert Bradshaw] Allow PCollection ids to be lazy.

[Robert Bradshaw] Reorganize module structure.

[Robert Bradshaw] A couple more renames.

[Robert Bradshaw] Simplify.

[Robert Bradshaw] Consolidation.

[Robert Bradshaw] Fix build.

[Robert Bradshaw] Add optional context to ParDo.

[Robert Bradshaw] fixup: iterable coder endian sign issue

[Robert Bradshaw] omit context for map(console.log)

[Robert Bradshaw] Fix ReadFromText coders.

[Robert Bradshaw] Flesh out README with overview and current state.

[noreply] Readme typo

[Robert Bradshaw] Two more TODOs.

[noreply] Add a pointer to the example wordcount to the readme.

[Pablo Estrada] Documenting coders and implementing unknown-length method

[Robert Bradshaw] UIID dependency.

[Robert Bradshaw] Artifact handling.

[Robert Bradshaw] Properly wait on data channel for bundle completion.

[Robert Bradshaw] Automatic java expansion service startup.

[Robert Bradshaw] Process promises.

[Robert Bradshaw] Implement side inputs.

[Robert Bradshaw] Cleanup.

[Robert Bradshaw] Put complex constext stuff in its own file.

[Robert Bradshaw] Rename BoundedWindow to just Window.

[Robert Bradshaw] Alternative splitter class.

[Pablo Estrada] Documenting internal functions

[Robert Bradshaw] Take a pass clarifying the TODOs.

[Robert Bradshaw] Sql transform wrapper.

[Robert Bradshaw] Incorporate some feedback into the TODOs.

[Robert Bradshaw] More TODOs.

[Robert Bradshaw] Remove app placeholder.

[Robert Bradshaw] Apache license headers.

[Robert Bradshaw] More TODOs

[jankuehle] Suggestions for TypeScript todos

[dannymccormick] Add actions for typescript sdk

[dannymccormick] Fix test command

[noreply] Add missing version

[dannymccormick] Fix codecovTest command

[noreply] Only do prettier check on linux

[noreply] Only get codecov on linux

[Robert Bradshaw] Resolve some comments.

[Robert Bradshaw] Fix compile errors.

[Robert Bradshaw] Prettier.

[Robert Bradshaw] Re-order expandInternal arguments pending unification.

[Robert Bradshaw] More consistent and stricter PTransform naming.

[Robert Bradshaw] Notes on explicit, if less idiomatic, use of classes.

[Robert Bradshaw] Let DoFn be an interface rather than a class.

[Robert Bradshaw] Provide DoFn context to start and finish bundle.

[Robert Bradshaw] Optional promise code simplification.

[Robert Bradshaw] Cleanup todos.

[Robert Bradshaw] Avoid any type where not needed.

[Robert Bradshaw] Apache RAT excludes for typescript.

[Robert Bradshaw] Remove empty READMEs.

[Robert Bradshaw] Add licences statement to readme files.

[Robert Bradshaw] More RAT fixes.

[Robert Bradshaw] Another unsupported coder.

[Robert Bradshaw] Remove debugging code.

[noreply] Fix automatic naming with code coverage.

[Robert Bradshaw] Coders cleanup.

[Robert Bradshaw] Add tests for RowCoder.

[Robert Bradshaw] Normalize capitalization, comments.

[Robert Bradshaw] Install typescript closure packages.

[Robert Bradshaw] npm audit fix

[Robert Bradshaw] Move more imports out of base.

[Robert Bradshaw] Changes needed to compile with ts closure plugin.

[Robert Bradshaw] Use ttsc and ts-closure-transform plugin.

[Robert Bradshaw] Serialization registration to actually get serialization working.

[Robert Bradshaw] Container images working on local runner.

[Robert Bradshaw] Add a portable job server that proxies the Dataflow backend. (#17189)

[Robert Bradshaw] Improvements to dataflow job service for non-Python jobs.

[Robert Bradshaw] Get dataflow working.

[Robert Bradshaw] User friendly pipeline options.

[Robert Bradshaw] Less classes, more functions.

[Robert Bradshaw] Add new nullable standard coder.

[Robert Bradshaw] Make Apache Rat happy.

[Robert Bradshaw] Disable broken codecov.

[Robert Bradshaw] Remove last uses of base.ts.

[Robert Bradshaw] Remove unneedd file.

[Robert Bradshaw] Remove more uneeded/unused files.

[Robert Bradshaw] Cleanup tests.

[Robert Bradshaw] Minor cleanups to coder tests.

[noreply] Quote pip install package name

[noreply] [BEAM-14374] Fix module import error in FullyQualifiedNamedTransform

[Robert Bradshaw] Addressing issues from the review.

[noreply] Apply suggestions from code review.

[Robert Bradshaw] Post-merge fixes.

[dannymccormick] Delete tags.go

[Robert Bradshaw] Update tests to use our actual serialization libraries.

[Robert Bradshaw] Another pass at TODOs, removing finished items.

[Heejong Lee] [BEAM-14146] Python Streaming job failing to drain with BigQueryIO write

[Kenneth Knowles] Add parameter for service account impersonation in GCP credentials

[Heejong Lee] add test

[noreply] Merge pull request #17490 from [BEAM-14370] [Website] Add new page about

[noreply] [BEAM-14332] Refactored cluster management for Flink on Dataproc

[noreply] [BEAM-13988] Update mtime to use time.UnixMilli() calls (#17578)

[noreply] Fixing patching error on missing dependencies (#17564)

[noreply] Merge pull request #17517 from [BEAM-14383] Improve "FailedRows" errors

[Heejong Lee] add test without mock


------------------------------------------
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INFO: 2022-05-07T13:48:56.735Z: 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 07, 2022 1:50:30 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
SEVERE: 2022-05-07T13:50:27.360Z: generic::aborted: SDK harness sdk-0-0 disconnected.
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passed through:
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    dist_proc/dax/workflow/****/fnapi_service_impl.cc:922
May 07, 2022 1:51:21 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
SEVERE: 2022-05-07T13:51:20.616Z: generic::aborted: SDK harness sdk-0-0 disconnected.
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passed through:
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May 07, 2022 1:52:22 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
SEVERE: 2022-05-07T13:52:20.145Z: generic::aborted: SDK harness sdk-0-0 disconnected.
passed through:
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    dist_proc/dax/workflow/****/monitoring_info_view_creator.cc:68
generic::aborted: SDK harness sdk-0-0 disconnected.
generic::aborted: SDK harness sdk-0-0 disconnected.
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May 07, 2022 1:53:49 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
SEVERE: 2022-05-07T13:53:46.998Z: generic::aborted: SDK harness sdk-0-0 disconnected.
passed through:
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generic::aborted: SDK harness sdk-0-0 disconnected.
May 07, 2022 1:55:50 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
SEVERE: 2022-05-07T13:55:48.017Z: generic::cancelled: Data channel closed, unable to receive additional data from SDK sdk-0-0
passed through:
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generic::cancelled: Data channel closed, unable to receive additional data from SDK sdk-0-0
May 07, 2022 1:57:59 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
SEVERE: 2022-05-07T13:57:56.951Z: generic::cancelled: Data channel closed, unable to receive additional data from SDK sdk-0-0
passed through:
==>
    dist_proc/dax/workflow/****/monitoring_info_view_creator.cc:68
generic::cancelled: Data channel closed, unable to receive additional data from SDK sdk-0-0
passed through:
==>
    dist_proc/dax/workflow/****/fnapi_service_impl.cc:922
generic::cancelled: Data channel closed, unable to receive additional data from SDK sdk-0-0
May 07, 2022 1:58:02 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-07T13:58:00.976Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
May 07, 2022 2:00:05 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-07T14:00:03.611Z: 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 07, 2022 2:01:03 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-07T14:01:02.072Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
May 07, 2022 2:01:20 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
SEVERE: 2022-05-07T14:01:18.665Z: generic::aborted: SDK harness sdk-0-0 disconnected.
passed through:
==>
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generic::aborted: SDK harness sdk-0-0 disconnected.
May 07, 2022 2:02:42 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
SEVERE: 2022-05-07T14:02:42.508Z: generic::cancelled: Data channel closed, unable to receive additional data from SDK sdk-0-0
generic::cancelled: Data channel closed, unable to receive additional data from SDK sdk-0-0
passed through:
==>
    dist_proc/dax/workflow/****/fnapi_service_impl.cc:922
May 07, 2022 2:03:16 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
SEVERE: 2022-05-07T14:03:14.828Z: generic::aborted: SDK harness sdk-0-0 disconnected.
passed through:
==>
    dist_proc/dax/workflow/****/fnapi_service_impl.cc:922
generic::aborted: SDK harness sdk-0-0 disconnected.
May 07, 2022 2:07:06 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-07T14:07:05.720Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
May 07, 2022 2:07:38 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
SEVERE: 2022-05-07T14:07:37.511Z: generic::aborted: SDK harness sdk-0-0 disconnected.
generic::aborted: SDK harness sdk-0-0 disconnected.
passed through:
==>
    dist_proc/dax/workflow/****/fnapi_service_impl.cc:922
May 07, 2022 2:10:09 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-07T14:10:08.780Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
May 07, 2022 2:12:09 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-07T14:12:07.676Z: 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 07, 2022 2:13:21 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-07T14:13:20.386Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
May 07, 2022 2:14:59 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
SEVERE: 2022-05-07T14:14:58.243Z: generic::aborted: SDK harness sdk-0-0 disconnected.
passed through:
==>
    dist_proc/dax/workflow/****/fnapi_service_impl.cc:922
generic::aborted: SDK harness sdk-0-0 disconnected.
May 07, 2022 2:18:14 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-07T14:18:14.036Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
May 07, 2022 2:19:14 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-07T14:19:12.527Z: 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 07, 2022 2:20:49 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
SEVERE: 2022-05-07T14:20:47.234Z: generic::aborted: SDK harness sdk-0-0 disconnected.
generic::aborted: SDK harness sdk-0-0 disconnected.
passed through:
==>
    dist_proc/dax/workflow/****/fnapi_service_impl.cc:922
May 07, 2022 2:23:18 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-07T14:23:15.996Z: 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 07, 2022 2:26:29 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-07T14:26:28.913Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
May 07, 2022 2:27:19 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-07T14:27:17.827Z: 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 07, 2022 2:28:21 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-07T14:28:20.299Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
May 07, 2022 2:35:23 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-07T14:35:23.812Z: 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 07, 2022 2:39:23 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-07T14:39:23.215Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
May 07, 2022 2:44:27 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-07T14:44:26.056Z: 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 07, 2022 2:50:30 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-07T14:50:29.851Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
May 07, 2022 2:53:27 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-07T14:53:27.408Z: 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 07, 2022 2:54:30 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-07T14:54:29.895Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
May 07, 2022 3:03:35 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-07T15:03:34.024Z: 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 07, 2022 3:12:35 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-07T15:12:33.398Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
May 07, 2022 3:18:38 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-07T15:18:36.683Z: 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 07, 2022 3:21:40 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-07T15:21:39.486Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
May 07, 2022 3:28:39 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-07T15:28:38.286Z: 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 07, 2022 3:33:41 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-07T15:33:41.352Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
May 07, 2022 3:37:46 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-07T15:37:44.096Z: 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 07, 2022 3:38:47 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-07T15:38:46.425Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
May 07, 2022 3:41:47 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-07T15:41:45.601Z: 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 07, 2022 3:45:49 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-07T15:45:48.539Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
May 07, 2022 3:46:50 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-07T15:46:50.261Z: 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 07, 2022 3:47:53 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-07T15:47:52.808Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
May 07, 2022 4:01:02 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-07T16:01:02.436Z: Cancel request is committed for workflow job: 2022-05-07_05_59_43-13010494145204206641.
May 07, 2022 4:01:02 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-07T16:01:02.519Z: Cleaning up.
May 07, 2022 4:01:02 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-07T16:01:02.592Z: Stopping **** pool...
May 07, 2022 4:01:02 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-07T16:01:02.649Z: Stopping **** pool...
May 07, 2022 4:03:30 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-07T16:03:28.863Z: 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 07, 2022 4:03:30 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-07T16:03:28.904Z: Worker pool stopped.
May 07, 2022 4:03:36 PM org.apache.beam.runners.dataflow.DataflowPipelineJob logTerminalState
INFO: Job 2022-05-07_05_59_43-13010494145204206641 finished with status CANCELLED.
Load test results for test (ID): 5fb0eb4b-4be2-49aa-99fb-34f223327da5 and timestamp: 2022-05-07T12:59:37.563000000Z:
                 Metric:                    Value:
dataflow_v2_java17_runtime_sec                  10596.19
dataflow_v2_java17_total_bytes_count              4.94593268E9
Exception in thread "main" java.lang.RuntimeException: Invalid job state: CANCELLED.
	at org.apache.beam.sdk.loadtests.JobFailure.handleFailure(JobFailure.java:51)
	at org.apache.beam.sdk.loadtests.LoadTest.run(LoadTest.java:139)
	at org.apache.beam.sdk.loadtests.GroupByKeyLoadTest.run(GroupByKeyLoadTest.java:57)
	at org.apache.beam.sdk.loadtests.GroupByKeyLoadTest.main(GroupByKeyLoadTest.java:131)

> Task :sdks:java:testing:load-tests:run FAILED

> Task :runners:google-cloud-dataflow-java:cleanUpDockerJavaImages
Untagged: us.gcr.io/apache-beam-testing/java-postcommit-it/java:20220507125738
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Deleted: sha256:54efb149cf1199557a9f16658936089a7d5d6b367218830fa0ec26063ddcb793
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Tag: [us.gcr.io/apache-beam-testing/java-postcommit-it/java:20220507125738]
- referencing digest: [us.gcr.io/apache-beam-testing/java-postcommit-it/java@sha256:fdbf2a8918c858fb9a8bd6a2f42ead14689184860aac62bd8d02049b0ce9d6ec]

Deleted [[us.gcr.io/apache-beam-testing/java-postcommit-it/java:20220507125738] (referencing [us.gcr.io/apache-beam-testing/java-postcommit-it/java@sha256:fdbf2a8918c858fb9a8bd6a2f42ead14689184860aac62bd8d02049b0ce9d6ec])].
Removing untagged image us.gcr.io/apache-beam-testing/java-postcommit-it/java@sha256:fdbf2a8918c858fb9a8bd6a2f42ead14689184860aac62bd8d02049b0ce9d6ec
Digests:
- us.gcr.io/apache-beam-testing/java-postcommit-it/java@sha256:fdbf2a8918c858fb9a8bd6a2f42ead14689184860aac62bd8d02049b0ce9d6ec
Deleted [us.gcr.io/apache-beam-testing/java-postcommit-it/java@sha256:fdbf2a8918c858fb9a8bd6a2f42ead14689184860aac62bd8d02049b0ce9d6ec].
Removing untagged image us.gcr.io/apache-beam-testing/java-postcommit-it/java@sha256:96ac0d2c40c3fc3c43c88aece057673e3963bca27725f88e41f47db7d5faae3e
Digests:
- us.gcr.io/apache-beam-testing/java-postcommit-it/java@sha256:96ac0d2c40c3fc3c43c88aece057673e3963bca27725f88e41f47db7d5faae3e
Deleted [us.gcr.io/apache-beam-testing/java-postcommit-it/java@sha256:96ac0d2c40c3fc3c43c88aece057673e3963bca27725f88e41f47db7d5faae3e].

FAILURE: Build failed with an exception.

* What went wrong:
Execution failed for task ':sdks:java:testing:load-tests:run'.
> Process 'command '/usr/lib/jvm/java-8-openjdk-amd64/bin/java'' 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 3h 6m 22s
110 actionable tasks: 73 executed, 33 from cache, 4 up-to-date

Publishing build scan...
https://gradle.com/s/4tdlaj7ikpeze

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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beam_LoadTests_Java_GBK_Dataflow_V2_Streaming_Java17 - Build # 137 - Aborted!

Posted by Apache Jenkins Server <je...@builds.apache.org>.
beam_LoadTests_Java_GBK_Dataflow_V2_Streaming_Java17 - Build # 137 - Aborted:

Check console output at https://ci-beam.apache.org/job/beam_LoadTests_Java_GBK_Dataflow_V2_Streaming_Java17/137/ to view the results.

Build failed in Jenkins: beam_LoadTests_Java_GBK_Dataflow_V2_Streaming_Java17 #136

Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Java_GBK_Dataflow_V2_Streaming_Java17/136/display/redirect?page=changes>

Changes:

[Heejong Lee] [BEAM-9245] Unable to pull datatore Entity which contains dict

[bulat.safiullin] [BEAM-14382] [Website] add banner container for with css, images, html

[Jan Lukavský] [BEAM-14196] add test verifying output watermark propagation in bundle

[Jan Lukavský] [BEAM-14196] Fix FlinkRunner mid-bundle output watermark handling

[nielm] [BEAM-14405] Fix NPE when ProjectID is not specified in a template

[bulat.safiullin] [BEAM-14382] change mobile banner img, add padding to banner section

[ahmedabualsaud] fix test decotrator typo

[noreply] Merge pull request #17440 from [BEAM-14329] Enable exponential backoff

[noreply] [BEAM-11104] Fix output forwarding issue for ProcessContinuations

[noreply] re-add testing package to pydoc (#17524)

[Heejong Lee] add test

[noreply] [BEAM-14250] Amended the workaround (#17531)

[noreply] [BEAM-11104] Fix broken split result validation (#17546)

[noreply] Fixed a SQL and screenshots in the Beam SQL blog (#17545)

[noreply] Merge pull request #17417: [BEAM-14388] Address some performance

[noreply] [BEAM-14386] [Flink] Support for scala 2.12 (#17512)

[noreply] [BEAM-14294] Worker changes to support trivial Batched DoFns (#17384)

[zyichi] Moving to 2.40.0-SNAPSHOT on master branch.

[noreply] [BEAM-14048] [CdapIO] Add ConfigWrapper for building CDAP PluginConfigs


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[...truncated 59.35 KB...]
INFO: 2022-05-05T13:00:11.670Z: Fusing adjacent ParDo, Read, Write, and Flatten operations
May 05, 2022 1:00:12 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-05T13:00:11.723Z: Fusing consumer Read input/ParDo(OutputSingleSource)/ParMultiDo(OutputSingleSource) into Read input/Impulse
May 05, 2022 1:00:12 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-05T13:00:11.754Z: Fusing consumer Read-input-ParDo-UnboundedSourceAsSDFWrapper--ParMultiDo-UnboundedSourceAsSDFWrapper-/PairWithRestriction into Read input/ParDo(OutputSingleSource)/ParMultiDo(OutputSingleSource)
May 05, 2022 1:00:12 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-05T13:00:11.786Z: Fusing consumer Read-input-ParDo-UnboundedSourceAsSDFWrapper--ParMultiDo-UnboundedSourceAsSDFWrapper-/SplitWithSizing into Read-input-ParDo-UnboundedSourceAsSDFWrapper--ParMultiDo-UnboundedSourceAsSDFWrapper-/PairWithRestriction
May 05, 2022 1:00:12 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-05T13:00:11.839Z: Fusing consumer Read input/ParDo(StripIds)/ParMultiDo(StripIds) into Read-input-ParDo-UnboundedSourceAsSDFWrapper--ParMultiDo-UnboundedSourceAsSDFWrapper-/ProcessElementAndRestrictionWithSizing
May 05, 2022 1:00:12 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-05T13:00:11.871Z: Fusing consumer Collect start time metrics/ParMultiDo(TimeMonitor) into Read input/ParDo(StripIds)/ParMultiDo(StripIds)
May 05, 2022 1:00:12 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-05T13:00:11.903Z: Fusing consumer Total bytes monitor/ParMultiDo(ByteMonitor) into Collect start time metrics/ParMultiDo(TimeMonitor)
May 05, 2022 1:00:12 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-05T13:00:11.924Z: Fusing consumer Window.Into()/Window.Assign into Total bytes monitor/ParMultiDo(ByteMonitor)
May 05, 2022 1:00:12 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-05T13:00:11.958Z: Fusing consumer Group by key (0)/WriteStream into Window.Into()/Window.Assign
May 05, 2022 1:00:12 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-05T13:00:11.990Z: Fusing consumer Group by key (0)/MergeBuckets into Group by key (0)/ReadStream
May 05, 2022 1:00:12 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-05T13:00:12.021Z: Fusing consumer Ungroup and reiterate (0)/ParMultiDo(UngroupAndReiterate) into Group by key (0)/MergeBuckets
May 05, 2022 1:00:12 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-05T13:00:12.043Z: Fusing consumer Collect end time metrics (0)/ParMultiDo(TimeMonitor) into Ungroup and reiterate (0)/ParMultiDo(UngroupAndReiterate)
May 05, 2022 1:00:12 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-05T13:00:12.188Z: Running job using Streaming Engine
May 05, 2022 1:00:14 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-05T13:00:12.598Z: Starting 5 ****s in us-central1-b...
May 05, 2022 1:00:30 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-05T13:00:29.943Z: 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 05, 2022 1:00:38 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-05T13:00:38.391Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
May 05, 2022 1:01:49 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-05T13:01:47.178Z: Workers have started successfully.
May 05, 2022 1:23:49 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
SEVERE: 2022-05-05T13:23:47.721Z: generic::cancelled: Data channel closed, unable to send additional data to SDK sdk-0-0
generic::cancelled: Data channel closed, unable to send additional data to SDK sdk-0-0
passed through:
==>
    dist_proc/dax/workflow/****/fnapi_service_impl.cc:922
May 05, 2022 1:25:53 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
SEVERE: 2022-05-05T13:25:51.459Z: generic::aborted: SDK harness sdk-0-0 disconnected.
generic::aborted: SDK harness sdk-0-0 disconnected.
passed through:
==>
    dist_proc/dax/workflow/****/fnapi_service_impl.cc:922
May 05, 2022 1:28:45 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-05T13:28:44.374Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
May 05, 2022 1:29:47 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-05T13:29:46.946Z: 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 05, 2022 1:33:45 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-05T13:33:45.377Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
May 05, 2022 1:35:48 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-05T13:35:47.652Z: 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 05, 2022 1:36:51 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-05T13:36:50.036Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
May 05, 2022 1:41:55 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-05T13:41:53.109Z: 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 05, 2022 1:43:55 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-05T13:43:55.575Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
May 05, 2022 1:44:56 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-05T13:44:54.123Z: 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 05, 2022 1:45:57 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-05T13:45:56.739Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
May 05, 2022 1:48:00 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-05T13:47:59.649Z: 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 05, 2022 1:48:06 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
SEVERE: 2022-05-05T13:48:04.160Z: generic::aborted: SDK harness sdk-0-0 disconnected.
passed through:
==>
    dist_proc/dax/workflow/****/fnapi_service_impl.cc:922
generic::aborted: SDK harness sdk-0-0 disconnected.
May 05, 2022 1:50:13 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-05T13:50:12.219Z: 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 05, 2022 1:52:06 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-05T13:52:04.957Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
May 05, 2022 1:54:04 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-05T13:54:03.053Z: 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 05, 2022 2:03:07 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-05T14:03:06.692Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
May 05, 2022 2:08:10 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-05T14:08:09.667Z: 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 05, 2022 2:12:10 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-05T14:12:09.170Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
May 05, 2022 2:15:14 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-05T14:15:11.763Z: 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 05, 2022 2:17:15 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-05T14:17:14.334Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
May 05, 2022 2:21:29 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-05T14:21:28.338Z: 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 05, 2022 2:23:18 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-05T14:23:16.875Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
May 05, 2022 2:24:20 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-05T14:24:19.564Z: 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 05, 2022 2:25:33 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-05T14:25:32.062Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
May 05, 2022 2:27:25 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-05T14:27:24.795Z: 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 05, 2022 2:29:28 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-05T14:29:27.343Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
May 05, 2022 2:34:28 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-05T14:34:26.451Z: 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 05, 2022 2:38:40 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-05T14:38:39.175Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
May 05, 2022 2:48:35 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-05T14:48:32.608Z: 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 05, 2022 2:50:35 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-05T14:50:34.651Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
May 05, 2022 2:55:34 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-05T14:55:33.634Z: 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 05, 2022 2:57:36 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-05T14:57:36.192Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
May 05, 2022 3:02:39 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-05T15:02:39.097Z: 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 05, 2022 3:09:40 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-05T15:09:39.497Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
May 05, 2022 3:11:43 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-05T15:11:42.294Z: 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 05, 2022 3:15:53 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
SEVERE: 2022-05-05T15:15:49.691Z: generic::aborted: SDK harness sdk-0-0 disconnected.
generic::aborted: SDK harness sdk-0-0 disconnected.
passed through:
==>
    dist_proc/dax/workflow/****/fnapi_service_impl.cc:922
May 05, 2022 3:15:59 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
SEVERE: 2022-05-05T15:15:56.451Z: generic::aborted: SDK harness sdk-0-0 disconnected.
May 05, 2022 3:21:48 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-05T15:21:45.724Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
May 05, 2022 3:28:50 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-05T15:28:48.893Z: 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 05, 2022 3:29:49 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-05T15:29:47.624Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
May 05, 2022 3:36:51 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-05T15:36:51.006Z: 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 05, 2022 3:43:54 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-05T15:43:52.289Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
May 05, 2022 3:47:21 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
SEVERE: 2022-05-05T15:47:20.502Z: generic::cancelled: Data channel closed, unable to receive additional data from SDK sdk-0-0
generic::cancelled: Data channel closed, unable to receive additional data from SDK sdk-0-0
passed through:
==>
    dist_proc/dax/workflow/****/monitoring_info_view_creator.cc:68
generic::cancelled: Data channel closed, unable to receive additional data from SDK sdk-0-0
passed through:
==>
    dist_proc/dax/workflow/****/fnapi_service_impl.cc:922
May 05, 2022 3:57:56 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-05T15:57:56.085Z: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
May 05, 2022 4:00:47 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-05T16:00:46.327Z: Cancel request is committed for workflow job: 2022-05-05_05_59_52-3750235578909530794.
May 05, 2022 4:00:47 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-05T16:00:46.372Z: Cleaning up.
May 05, 2022 4:00:47 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-05T16:00:46.445Z: Stopping **** pool...
May 05, 2022 4:00:47 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-05T16:00:46.490Z: Stopping **** pool...
May 05, 2022 4:03:10 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-05T16:03:08.788Z: 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 05, 2022 4:03:10 PM org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-05-05T16:03:08.833Z: Worker pool stopped.
May 05, 2022 4:03:15 PM org.apache.beam.runners.dataflow.DataflowPipelineJob logTerminalState
INFO: Job 2022-05-05_05_59_52-3750235578909530794 finished with status CANCELLED.
Load test results for test (ID): f1788f0a-b3c8-4bf5-99e5-87ac5c36a815 and timestamp: 2022-05-05T12:59:46.130000000Z:
                 Metric:                    Value:
dataflow_v2_java17_runtime_sec                   10094.3
dataflow_v2_java17_total_bytes_count              4.54193106E9
Exception in thread "main" java.lang.RuntimeException: Invalid job state: CANCELLED.
	at org.apache.beam.sdk.loadtests.JobFailure.handleFailure(JobFailure.java:51)
	at org.apache.beam.sdk.loadtests.LoadTest.run(LoadTest.java:139)
	at org.apache.beam.sdk.loadtests.GroupByKeyLoadTest.run(GroupByKeyLoadTest.java:57)
	at org.apache.beam.sdk.loadtests.GroupByKeyLoadTest.main(GroupByKeyLoadTest.java:131)

> Task :sdks:java:testing:load-tests:run FAILED

> Task :runners:google-cloud-dataflow-java:cleanUpDockerJavaImages
Untagged: us.gcr.io/apache-beam-testing/java-postcommit-it/java:20220505125742
Untagged: us.gcr.io/apache-beam-testing/java-postcommit-it/java@sha256:1cf06c21bae599264c6adf0b1ccea7fab168ab66903da7801af53c3c80e1cf42
Deleted: sha256:edbd30630237509eb6b6136cb4c9b777cc60b2a34bb82749bf09dd0c5b042dc7
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Tag: [us.gcr.io/apache-beam-testing/java-postcommit-it/java:20220505125742]
- referencing digest: [us.gcr.io/apache-beam-testing/java-postcommit-it/java@sha256:1cf06c21bae599264c6adf0b1ccea7fab168ab66903da7801af53c3c80e1cf42]

Deleted [[us.gcr.io/apache-beam-testing/java-postcommit-it/java:20220505125742] (referencing [us.gcr.io/apache-beam-testing/java-postcommit-it/java@sha256:1cf06c21bae599264c6adf0b1ccea7fab168ab66903da7801af53c3c80e1cf42])].
Removing untagged image us.gcr.io/apache-beam-testing/java-postcommit-it/java@sha256:1cf06c21bae599264c6adf0b1ccea7fab168ab66903da7801af53c3c80e1cf42
Digests:
- us.gcr.io/apache-beam-testing/java-postcommit-it/java@sha256:1cf06c21bae599264c6adf0b1ccea7fab168ab66903da7801af53c3c80e1cf42
Deleted [us.gcr.io/apache-beam-testing/java-postcommit-it/java@sha256:1cf06c21bae599264c6adf0b1ccea7fab168ab66903da7801af53c3c80e1cf42].

FAILURE: Build failed with an exception.

* What went wrong:
Execution failed for task ':sdks:java:testing:load-tests:run'.
> Process 'command '/usr/lib/jvm/java-8-openjdk-amd64/bin/java'' 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 3h 5m 57s
110 actionable tasks: 75 executed, 31 from cache, 4 up-to-date

Publishing build scan...
https://gradle.com/s/lahtvxh7e6e3w

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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