See 
<https://ci-beam.apache.org/job/beam_LoadTests_Java_CoGBK_Dataflow_V2_Streaming_Java11/651/display/redirect?page=changes>

Changes:

[noreply] Merge pull request #26006: Google Cloud libraries BOM 26.11.0


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> Task :sdks:java:testing:load-tests:run
Apr 02, 2023 3:00:23 PM 
org.apache.beam.runners.dataflow.options.DataflowPipelineOptions$StagingLocationFactory
 create
INFO: No stagingLocation provided, falling back to gcpTempLocation
Apr 02, 2023 3:00:24 PM org.apache.beam.runners.dataflow.DataflowRunner 
fromOptions
INFO: PipelineOptions.filesToStage was not specified. Defaulting to files from 
the classpath: will stage 230 files. Enable logging at DEBUG level to see which 
files will be staged.
Apr 02, 2023 3:00:25 PM org.apache.beam.sdk.Pipeline validate
WARNING: The following transforms do not have stable unique names: Window.Into()
Apr 02, 2023 3:00:25 PM org.apache.beam.runners.dataflow.DataflowRunner run
INFO: Executing pipeline on the Dataflow Service, which will have billing 
implications related to Google Compute Engine usage and other Google Cloud 
Services.
Apr 02, 2023 3:00:27 PM org.apache.beam.runners.dataflow.util.PackageUtil 
stageClasspathElements
INFO: Uploading 230 files from PipelineOptions.filesToStage to staging location 
to prepare for execution.
Apr 02, 2023 3:00:27 PM org.apache.beam.runners.dataflow.util.PackageUtil 
stageClasspathElements
INFO: Staging files complete: 230 files cached, 0 files newly uploaded in 0 
seconds
Apr 02, 2023 3:00:27 PM org.apache.beam.runners.dataflow.DataflowRunner run
INFO: Staging portable pipeline proto to 
gs://temp-storage-for-perf-tests/loadtests/staging/
Apr 02, 2023 3:00:27 PM org.apache.beam.runners.dataflow.util.PackageUtil 
tryStagePackage
INFO: Uploading <123105 bytes, hash 
0ad03aaf4e011719a2fdea51652682b5d4635bae855f0364bd4775df116c4060> to 
gs://temp-storage-for-perf-tests/loadtests/staging/pipeline-CtA6r04BFxmi_epRZSaCtdRjW66FXwNkvUd13xFsQGA.pb
Apr 02, 2023 3:00:29 PM 
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding Read input/DataflowRunner.StreamingUnboundedRead.ReadWithIds as 
step s1
Apr 02, 2023 3:00:29 PM 
org.apache.beam.sdk.io.synthetic.SyntheticUnboundedSource split
INFO: Split into 20 bundles: [SyntheticUnboundedSource{startOffset=0, 
endOffset=100000}, SyntheticUnboundedSource{startOffset=100000, 
endOffset=200000}, SyntheticUnboundedSource{startOffset=200000, 
endOffset=300000}, SyntheticUnboundedSource{startOffset=300000, 
endOffset=400000}, SyntheticUnboundedSource{startOffset=400000, 
endOffset=500000}, SyntheticUnboundedSource{startOffset=500000, 
endOffset=600000}, SyntheticUnboundedSource{startOffset=600000, 
endOffset=700000}, SyntheticUnboundedSource{startOffset=700000, 
endOffset=800000}, SyntheticUnboundedSource{startOffset=800000, 
endOffset=900000}, SyntheticUnboundedSource{startOffset=900000, 
endOffset=1000000}, SyntheticUnboundedSource{startOffset=1000000, 
endOffset=1100000}, SyntheticUnboundedSource{startOffset=1100000, 
endOffset=1200000}, SyntheticUnboundedSource{startOffset=1200000, 
endOffset=1300000}, SyntheticUnboundedSource{startOffset=1300000, 
endOffset=1400000}, SyntheticUnboundedSource{startOffset=1400000, 
endOffset=1500000}, SyntheticUnboundedSource{startOffset=1500000, 
endOffset=1600000}, SyntheticUnboundedSource{startOffset=1600000, 
endOffset=1700000}, SyntheticUnboundedSource{startOffset=1700000, 
endOffset=1800000}, SyntheticUnboundedSource{startOffset=1800000, 
endOffset=1900000}, SyntheticUnboundedSource{startOffset=1900000, 
endOffset=2000000}]
Apr 02, 2023 3:00:29 PM 
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding Read input/StripIds as step s2
Apr 02, 2023 3:00:29 PM 
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding Collect start time metrics (input) as step s3
Apr 02, 2023 3:00:29 PM 
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding Window.Into()/Window.Assign as step s4
Apr 02, 2023 3:00:29 PM 
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding Read co-input/DataflowRunner.StreamingUnboundedRead.ReadWithIds as 
step s5
Apr 02, 2023 3:00:29 PM 
org.apache.beam.sdk.io.synthetic.SyntheticUnboundedSource split
INFO: Split into 20 bundles: [SyntheticUnboundedSource{startOffset=0, 
endOffset=100000}, SyntheticUnboundedSource{startOffset=100000, 
endOffset=200000}, SyntheticUnboundedSource{startOffset=200000, 
endOffset=300000}, SyntheticUnboundedSource{startOffset=300000, 
endOffset=400000}, SyntheticUnboundedSource{startOffset=400000, 
endOffset=500000}, SyntheticUnboundedSource{startOffset=500000, 
endOffset=600000}, SyntheticUnboundedSource{startOffset=600000, 
endOffset=700000}, SyntheticUnboundedSource{startOffset=700000, 
endOffset=800000}, SyntheticUnboundedSource{startOffset=800000, 
endOffset=900000}, SyntheticUnboundedSource{startOffset=900000, 
endOffset=1000000}, SyntheticUnboundedSource{startOffset=1000000, 
endOffset=1100000}, SyntheticUnboundedSource{startOffset=1100000, 
endOffset=1200000}, SyntheticUnboundedSource{startOffset=1200000, 
endOffset=1300000}, SyntheticUnboundedSource{startOffset=1300000, 
endOffset=1400000}, SyntheticUnboundedSource{startOffset=1400000, 
endOffset=1500000}, SyntheticUnboundedSource{startOffset=1500000, 
endOffset=1600000}, SyntheticUnboundedSource{startOffset=1600000, 
endOffset=1700000}, SyntheticUnboundedSource{startOffset=1700000, 
endOffset=1800000}, SyntheticUnboundedSource{startOffset=1800000, 
endOffset=1900000}, SyntheticUnboundedSource{startOffset=1900000, 
endOffset=2000000}]
Apr 02, 2023 3:00:29 PM 
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding Read co-input/StripIds as step s6
Apr 02, 2023 3:00:29 PM 
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding Collect start time metrics (co-input) as step s7
Apr 02, 2023 3:00:29 PM 
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding Window.Into()2/Window.Assign as step s8
Apr 02, 2023 3:00:29 PM 
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding CoGroupByKey/MakeUnionTable0 as step s9
Apr 02, 2023 3:00:29 PM 
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding CoGroupByKey/MakeUnionTable1 as step s10
Apr 02, 2023 3:00:29 PM 
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding CoGroupByKey/Flatten as step s11
Apr 02, 2023 3:00:29 PM 
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding CoGroupByKey/GBK as step s12
Apr 02, 2023 3:00:29 PM 
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding CoGroupByKey/ConstructCoGbkResultFn as step s13
Apr 02, 2023 3:00:29 PM 
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding Ungroup and reiterate as step s14
Apr 02, 2023 3:00:29 PM 
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding Collect total bytes as step s15
Apr 02, 2023 3:00:29 PM 
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding Collect end time metrics as step s16
Apr 02, 2023 3:00:30 PM org.apache.beam.runners.dataflow.DataflowRunner run
INFO: Dataflow SDK version: 2.47.0-SNAPSHOT
Apr 02, 2023 3:00:30 PM org.apache.beam.runners.dataflow.DataflowRunner run
INFO: To access the Dataflow monitoring console, please navigate to 
https://console.cloud.google.com/dataflow/jobs/us-central1/2023-04-02_08_00_30-7015054293847919472?project=apache-beam-testing
Apr 02, 2023 3:00:30 PM org.apache.beam.runners.dataflow.DataflowRunner run
INFO: Submitted job: 2023-04-02_08_00_30-7015054293847919472
Apr 02, 2023 3:00:30 PM org.apache.beam.runners.dataflow.DataflowRunner run
INFO: To cancel the job using the 'gcloud' tool, run:
> gcloud dataflow jobs --project=apache-beam-testing cancel 
> --region=us-central1 2023-04-02_08_00_30-7015054293847919472
Apr 02, 2023 3:00:36 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
WARNING: 2023-04-02T15:00:36.249Z: 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: 
load0tests0java110dataflow0v20streaming0cogbk04-jenkins-04-flqe. 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
Apr 02, 2023 3:00:45 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2023-04-02T15:00:44.175Z: Worker configuration: e2-standard-2 in 
us-central1-b.
Apr 02, 2023 3:00:46 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2023-04-02T15:00:45.436Z: Expanding SplittableParDo operations into 
optimizable parts.
Apr 02, 2023 3:00:46 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2023-04-02T15:00:45.485Z: Expanding CollectionToSingleton operations into 
optimizable parts.
Apr 02, 2023 3:00:46 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2023-04-02T15:00:45.558Z: Expanding CoGroupByKey operations into 
optimizable parts.
Apr 02, 2023 3:00:46 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2023-04-02T15:00:45.631Z: Expanding SplittableProcessKeyed operations 
into optimizable parts.
Apr 02, 2023 3:00:46 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2023-04-02T15:00:45.668Z: Expanding GroupByKey operations into streaming 
Read/Write steps
Apr 02, 2023 3:00:46 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2023-04-02T15:00:45.740Z: Lifting ValueCombiningMappingFns into 
MergeBucketsMappingFns
Apr 02, 2023 3:00:46 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2023-04-02T15:00:45.854Z: Fusing adjacent ParDo, Read, Write, and Flatten 
operations
Apr 02, 2023 3:00:46 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2023-04-02T15:00:45.893Z: Unzipping flatten CoGroupByKey-Flatten for 
input CoGroupByKey-MakeUnionTable0-ParMultiDo-ConstructUnionTable-.output
Apr 02, 2023 3:00:46 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2023-04-02T15:00:45.915Z: Fusing unzipped copy of 
CoGroupByKey/GBK/WriteStream, through flatten CoGroupByKey/Flatten, into 
producer CoGroupByKey/MakeUnionTable0/ParMultiDo(ConstructUnionTable)
Apr 02, 2023 3:00:46 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2023-04-02T15:00:45.948Z: Fusing consumer CoGroupByKey/GBK/WriteStream 
into CoGroupByKey/MakeUnionTable1/ParMultiDo(ConstructUnionTable)
Apr 02, 2023 3:00:46 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2023-04-02T15:00:45.983Z: Fusing consumer Read 
input/ParDo(OutputSingleSource)/ParMultiDo(OutputSingleSource) into Read 
input/Impulse
Apr 02, 2023 3:00:46 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2023-04-02T15:00:46.007Z: Fusing consumer 
Read-input-ParDo-UnboundedSourceAsSDFWrapper--ParMultiDo-UnboundedSourceAsSDFWrapper-/PairWithRestriction
 into Read input/ParDo(OutputSingleSource)/ParMultiDo(OutputSingleSource)
Apr 02, 2023 3:00:46 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2023-04-02T15:00:46.027Z: Fusing consumer 
Read-input-ParDo-UnboundedSourceAsSDFWrapper--ParMultiDo-UnboundedSourceAsSDFWrapper-/SplitWithSizing
 into 
Read-input-ParDo-UnboundedSourceAsSDFWrapper--ParMultiDo-UnboundedSourceAsSDFWrapper-/PairWithRestriction
Apr 02, 2023 3:00:46 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2023-04-02T15:00:46.050Z: Fusing consumer Read 
input/ParDo(StripIds)/ParMultiDo(StripIds) into 
Read-input-ParDo-UnboundedSourceAsSDFWrapper--ParMultiDo-UnboundedSourceAsSDFWrapper-/ProcessElementAndRestrictionWithSizing
Apr 02, 2023 3:00:46 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2023-04-02T15:00:46.078Z: Fusing consumer Collect start time metrics 
(input)/ParMultiDo(TimeMonitor) into Read 
input/ParDo(StripIds)/ParMultiDo(StripIds)
Apr 02, 2023 3:00:46 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2023-04-02T15:00:46.112Z: Fusing consumer Window.Into()/Window.Assign 
into Collect start time metrics (input)/ParMultiDo(TimeMonitor)
Apr 02, 2023 3:00:46 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2023-04-02T15:00:46.146Z: Fusing consumer 
CoGroupByKey/MakeUnionTable0/ParMultiDo(ConstructUnionTable) into 
Window.Into()/Window.Assign
Apr 02, 2023 3:00:46 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2023-04-02T15:00:46.169Z: Fusing consumer Read 
co-input/ParDo(OutputSingleSource)/ParMultiDo(OutputSingleSource) into Read 
co-input/Impulse
Apr 02, 2023 3:00:46 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2023-04-02T15:00:46.192Z: Fusing consumer 
Read-co-input-ParDo-UnboundedSourceAsSDFWrapper--ParMultiDo-UnboundedSourceAsSDFWrapper-/PairWithRestriction
 into Read co-input/ParDo(OutputSingleSource)/ParMultiDo(OutputSingleSource)
Apr 02, 2023 3:00:46 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2023-04-02T15:00:46.212Z: Fusing consumer 
Read-co-input-ParDo-UnboundedSourceAsSDFWrapper--ParMultiDo-UnboundedSourceAsSDFWrapper-/SplitWithSizing
 into 
Read-co-input-ParDo-UnboundedSourceAsSDFWrapper--ParMultiDo-UnboundedSourceAsSDFWrapper-/PairWithRestriction
Apr 02, 2023 3:00:46 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2023-04-02T15:00:46.233Z: Fusing consumer Read 
co-input/ParDo(StripIds)/ParMultiDo(StripIds) into 
Read-co-input-ParDo-UnboundedSourceAsSDFWrapper--ParMultiDo-UnboundedSourceAsSDFWrapper-/ProcessElementAndRestrictionWithSizing
Apr 02, 2023 3:00:46 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2023-04-02T15:00:46.267Z: Fusing consumer Collect start time metrics 
(co-input)/ParMultiDo(TimeMonitor) into Read 
co-input/ParDo(StripIds)/ParMultiDo(StripIds)
Apr 02, 2023 3:00:48 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2023-04-02T15:00:46.291Z: Fusing consumer Window.Into()2/Window.Assign 
into Collect start time metrics (co-input)/ParMultiDo(TimeMonitor)
Apr 02, 2023 3:00:48 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2023-04-02T15:00:46.321Z: Fusing consumer 
CoGroupByKey/MakeUnionTable1/ParMultiDo(ConstructUnionTable) into 
Window.Into()2/Window.Assign
Apr 02, 2023 3:00:48 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2023-04-02T15:00:46.354Z: Fusing consumer CoGroupByKey/GBK/MergeBuckets 
into CoGroupByKey/GBK/ReadStream
Apr 02, 2023 3:00:48 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2023-04-02T15:00:46.377Z: Fusing consumer 
CoGroupByKey/ConstructCoGbkResultFn/ParMultiDo(ConstructCoGbkResult) into 
CoGroupByKey/GBK/MergeBuckets
Apr 02, 2023 3:00:48 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2023-04-02T15:00:46.412Z: Fusing consumer Ungroup and 
reiterate/ParMultiDo(UngroupAndReiterate) into 
CoGroupByKey/ConstructCoGbkResultFn/ParMultiDo(ConstructCoGbkResult)
Apr 02, 2023 3:00:48 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2023-04-02T15:00:46.443Z: Fusing consumer Collect total 
bytes/ParMultiDo(ByteMonitor) into Ungroup and 
reiterate/ParMultiDo(UngroupAndReiterate)
Apr 02, 2023 3:00:48 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2023-04-02T15:00:46.480Z: Fusing consumer Collect end time 
metrics/ParMultiDo(TimeMonitor) into Collect total bytes/ParMultiDo(ByteMonitor)
Apr 02, 2023 3:00:48 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2023-04-02T15:00:46.648Z: Running job using Streaming Engine
Apr 02, 2023 3:00:48 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2023-04-02T15:00:47.888Z: Starting 5 ****s in us-central1-b...
Apr 02, 2023 3:01:10 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2023-04-02T15:01:10.724Z: Your project already contains 100 
Dataflow-created metric descriptors, so new user metrics of the form 
custom.googleapis.com/* will not be created. However, all user metrics are also 
available in the metric dataflow.googleapis.com/job/user_counter. If you rely 
on the custom metrics, you can delete old / unused metric descriptors. See 
https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.list
 and 
https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.delete
Apr 02, 2023 3:01:29 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2023-04-02T15:01:29.339Z: Autoscaling: Raised the number of ****s to 5 so 
that the pipeline can catch up with its backlog and keep up with its input rate.
Apr 02, 2023 3:02:29 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2023-04-02T15:02:27.851Z: Workers have started successfully.
Apr 02, 2023 3:02:29 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2023-04-02T15:02:29.199Z: All ****s have finished the startup processes 
and began to receive work requests.
Apr 02, 2023 3:09:54 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2023-04-02T15:09:53.474Z: Cleaning up.
Apr 02, 2023 3:09:54 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2023-04-02T15:09:53.559Z: Stopping **** pool...
Apr 02, 2023 3:09:54 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2023-04-02T15:09:53.593Z: Stopping **** pool...
Apr 02, 2023 3:12:05 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2023-04-02T15:12:03.656Z: 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.
Apr 02, 2023 3:12:05 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2023-04-02T15:12:03.727Z: Worker pool stopped.
Apr 02, 2023 3:12:10 PM org.apache.beam.runners.dataflow.DataflowPipelineJob 
logTerminalState
INFO: Job 2023-04-02_08_00_30-7015054293847919472 finished with status DONE.
Load test results for test (ID): 7ebf9b98-814f-4665-aa23-6d7c6faa547d and 
timestamp: 2023-04-02T15:00:24.886000000Z:
                 Metric:                    Value:
dataflow_v2_java11_runtime_sec                   355.595
dataflow_v2_java11_total_bytes_count                 3.99996E8

> Task :runners:google-cloud-dataflow-java:cleanUpDockerJavaImages
Untagged: us.gcr.io/apache-beam-testing/java-postcommit-it/java:20230402150000
Untagged: 
us.gcr.io/apache-beam-testing/java-postcommit-it/java@sha256:302cd6928ff0cd2db5d9cedd59ba0e5463bcce7417a69d32fa16f428536cb328
WARNING: Successfully resolved tag to sha256, but it is recommended to use 
sha256 directly.
Tag: [us.gcr.io/apache-beam-testing/java-postcommit-it/java:20230402150000]
- referencing digest: 
[us.gcr.io/apache-beam-testing/java-postcommit-it/java@sha256:302cd6928ff0cd2db5d9cedd59ba0e5463bcce7417a69d32fa16f428536cb328]

Deleted [[us.gcr.io/apache-beam-testing/java-postcommit-it/java:20230402150000] 
(referencing 
[us.gcr.io/apache-beam-testing/java-postcommit-it/java@sha256:302cd6928ff0cd2db5d9cedd59ba0e5463bcce7417a69d32fa16f428536cb328])].
Removing untagged image 
us.gcr.io/apache-beam-testing/java-postcommit-it/java@sha256:aa0fe6c5710a9d63af43475ea974757c86aae398ebc992dffd629be646d113e9
Digests:
- 
us.gcr.io/apache-beam-testing/java-postcommit-it/java@sha256:aa0fe6c5710a9d63af43475ea974757c86aae398ebc992dffd629be646d113e9
ERROR: (gcloud.container.images.delete) Not found: response: 
{'docker-distribution-api-version': 'registry/2.0', 'content-type': 
'application/json', 'content-encoding': 'gzip', 'date': 'Sun, 02 Apr 2023 
15:12:15 GMT', 'server': 'Docker Registry', 'cache-control': 'private', 
'x-xss-protection': '0', 'x-frame-options': 'SAMEORIGIN', 'transfer-encoding': 
'chunked', 'status': 404}
Failed to compute blob liveness for manifest: 
'sha256:aa0fe6c5710a9d63af43475ea974757c86aae398ebc992dffd629be646d113e9': None

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

FAILURE: Build failed with an exception.

* Where:
Build file 
'<https://ci-beam.apache.org/job/beam_LoadTests_Java_CoGBK_Dataflow_V2_Streaming_Java11/ws/src/runners/google-cloud-dataflow-java/build.gradle'>
 line: 306

* What went wrong:
Execution failed for task 
':runners:google-cloud-dataflow-java:cleanUpDockerJavaImages'.
> Process 'command './scripts/cleanup_untagged_gcr_images.sh'' finished with 
> non-zero exit value 1

* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.

* Get more help at https://help.gradle.org

Deprecated Gradle features were used in this build, making it incompatible with 
Gradle 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings 
and determine if they come from your own scripts or plugins.

See 
https://docs.gradle.org/7.5.1/userguide/command_line_interface.html#sec:command_line_warnings

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

BUILD FAILED in 12m 29s
112 actionable tasks: 9 executed, 103 up-to-date

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

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

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