See 
<https://ci-beam.apache.org/job/beam_LoadTests_Java_GBK_Dataflow_V2_Streaming_Java11/217/display/redirect?page=changes>

Changes:

[noreply] [BEAM-13015] Provide caching statistics in the status client. (#16495)

[noreply] [BEAM-13611] Skip test_xlang_jdbc_write (#16554)

[noreply] Merge pull request #16370 from [BEAM-13556] playground - color and

[noreply] Merge pull request #16531 from [BEAM-13567] [playground] Handle run 
code

[noreply] Merge pull request #16533 from [BEAM-13548] [Playground] Add example

[noreply] Merge pull request #16519 from [BEAM-13639] [Playground] Add

[noreply] Merge pull request #16518 from [BEAM-13619] [Playground] Add loading

[noreply] Merge pull request #16243 from

[noreply] [BEAM-13683] Make cross-language SQL example pipeline (#16567)

[noreply] [BEAM-13688] fixed type in BPG 4.5.3 window section (#16560)

[noreply] Remove obsolete commands from Inventory job. (#16564)

[noreply] Disable logging for memoization test. (#16556)

[noreply] Merge pull request #16472: [BEAM-13697] Add SchemaFieldNumber 
annotation

[noreply] Merge pull request #16373 from [BEAM-13515] [Playground] Hiding lines 
in


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Jan 20, 2022 2:54:53 PM 
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INFO: 2022-01-20T14:54:51.380Z: 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.
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org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-01-20T14:57:02.223Z: Autoscaling: Raised the number of ****s to 5 so 
that the pipeline can catch up with its backlog and keep up with its input rate.
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org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-01-20T14:58:53.947Z: 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.
Jan 20, 2022 3:00:58 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-01-20T15:00:58.382Z: Autoscaling: Raised the number of ****s to 5 so 
that the pipeline can catch up with its backlog and keep up with its input rate.
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org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
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that the pipeline can catch up with its backlog and keep up with its input rate.
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org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-01-20T15:03:02.344Z: Autoscaling: Raised the number of ****s to 5 so 
that the pipeline can catch up with its backlog and keep up with its input rate.
Jan 20, 2022 3:05:07 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-01-20T15:05:06.926Z: 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.
Jan 20, 2022 3:07:08 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-01-20T15:07:06.500Z: Autoscaling: Raised the number of ****s to 5 so 
that the pipeline can catch up with its backlog and keep up with its input rate.
Jan 20, 2022 3:09:10 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
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that the pipeline can catch up with its backlog and keep up with its input rate.
Jan 20, 2022 3:10:13 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-01-20T15:10:11.436Z: Autoscaling: Raised the number of ****s to 5 so 
that the pipeline can catch up with its backlog and keep up with its input rate.
Jan 20, 2022 3:11:15 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-01-20T15:11:14.916Z: 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.
Jan 20, 2022 3:13:20 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-01-20T15:13:19.964Z: Autoscaling: Raised the number of ****s to 5 so 
that the pipeline can catch up with its backlog and keep up with its input rate.
Jan 20, 2022 3:15:21 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-01-20T15:15:20.623Z: 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.
Jan 20, 2022 3:17:27 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
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that the pipeline can catch up with its backlog and keep up with its input rate.
Jan 20, 2022 3:18:29 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
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that the pipeline can catch up with its backlog and keep up with its input rate.
Jan 20, 2022 3:19:29 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-01-20T15:19:28.869Z: Autoscaling: Raised the number of ****s to 5 so 
that the pipeline can catch up with its backlog and keep up with its input rate.
Jan 20, 2022 3:21:31 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-01-20T15:21:29.651Z: 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.
Jan 20, 2022 3:23:36 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
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that the pipeline can catch up with its backlog and keep up with its input rate.
Jan 20, 2022 3:25:38 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
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that the pipeline can catch up with its backlog and keep up with its input rate.
Jan 20, 2022 3:26:42 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-01-20T15:26:40.213Z: Autoscaling: Raised the number of ****s to 5 so 
that the pipeline can catch up with its backlog and keep up with its input rate.
Jan 20, 2022 3:27:44 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
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org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
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Jan 20, 2022 3:31:46 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
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Jan 20, 2022 3:33:53 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
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Jan 20, 2022 3:35:56 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-01-20T15:35:54.269Z: Autoscaling: Raised the number of ****s to 5 so 
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Jan 20, 2022 3:36:58 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
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Jan 20, 2022 3:38:00 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
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Jan 20, 2022 3:41:13 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
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Jan 20, 2022 3:42:15 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-01-20T15:42:14.750Z: Autoscaling: Raised the number of ****s to 5 so 
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Jan 20, 2022 3:44:08 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
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Jan 20, 2022 3:46:09 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-01-20T15:46:08.674Z: Autoscaling: Raised the number of ****s to 5 so 
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Jan 20, 2022 3:47:14 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
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Jan 20, 2022 3:49:14 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
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Jan 20, 2022 3:50:19 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
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Jan 20, 2022 3:52:20 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
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org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-01-20T15:54:23.896Z: Autoscaling: Raised the number of ****s to 5 so 
that the pipeline can catch up with its backlog and keep up with its input rate.
Jan 20, 2022 3:55:25 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-01-20T15:55:24.729Z: 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.
Jan 20, 2022 3:57:27 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-01-20T15:57:27.027Z: Autoscaling: Raised the number of ****s to 5 so 
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Jan 20, 2022 3:58:30 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-01-20T15:58:29.994Z: Autoscaling: Raised the number of ****s to 5 so 
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Jan 20, 2022 4:00:27 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-01-20T16:00:27.366Z: Cancel request is committed for workflow job: 
2022-01-20_04_28_17-3785502477600347711.
Jan 20, 2022 4:00:27 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-01-20T16:00:27.479Z: Cleaning up.
Jan 20, 2022 4:00:27 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-01-20T16:00:27.598Z: Stopping **** pool...
Jan 20, 2022 4:00:27 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-01-20T16:00:27.655Z: Stopping **** pool...
Jan 20, 2022 4:03:22 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-01-20T16:03:19.831Z: Autoscaling: Reduced the number of ****s to 0 
based on low average **** CPU utilization, and the pipeline having sufficiently 
low backlog and keeping up with input rate.
Jan 20, 2022 4:03:22 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-01-20T16:03:19.888Z: Worker pool stopped.
Jan 20, 2022 4:03:26 PM org.apache.beam.runners.dataflow.DataflowPipelineJob 
logTerminalState
INFO: Job 2022-01-20_04_28_17-3785502477600347711 finished with status 
CANCELLED.
Load test results for test (ID): 2b76cf73-7c6e-4449-bfeb-0001428945f0 and 
timestamp: 2022-01-20T12:28:10.760000000Z:
                 Metric:                    Value:
dataflow_v2_java11_runtime_sec                 11559.723
dataflow_v2_java11_total_bytes_count              4.90766247E9
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:cleanUpDockerImages
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Deleted [[us.gcr.io/apache-beam-testing/java-postcommit-it/java:20220120122616] 
(referencing 
[us.gcr.io/apache-beam-testing/java-postcommit-it/java@sha256:471365a32b38531c82aec8f27e8002c1c44f05ebe08795e6a8352173f6a46d75])].
Removing untagged image 
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Digests:
- 
us.gcr.io/apache-beam-testing/java-postcommit-it/java@sha256:471365a32b38531c82aec8f27e8002c1c44f05ebe08795e6a8352173f6a46d75
Deleted 
[us.gcr.io/apache-beam-testing/java-postcommit-it/java@sha256:471365a32b38531c82aec8f27e8002c1c44f05ebe08795e6a8352173f6a46d75].

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/7.3.2/userguide/command_line_interface.html#sec:command_line_warnings

Execution optimizations have been disabled for 1 invalid unit(s) of work during 
this build to ensure correctness.
Please consult deprecation warnings for more details.

BUILD FAILED in 3h 37m 28s
109 actionable tasks: 75 executed, 30 from cache, 4 up-to-date

Publishing build scan...
https://gradle.com/s/duuipezqs2s4m

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

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