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
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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
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Tag: [us.gcr.io/apache-beam-testing/java-postcommit-it/java:20220505125742]
- referencing digest: 
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(referencing 
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Removing untagged image 
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- 
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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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