See 
<https://ci-beam.apache.org/job/beam_LoadTests_Java_CoGBK_Dataflow_V2_Streaming_Java11/706/display/redirect?page=changes>

Changes:

[noreply] Revise error message to state the actual size limit (#26754)


------------------------------------------
[...truncated 267.55 KB...]
74d4e9e29f5f: Preparing
19ec79574076: Preparing
20a24260cd12: Preparing
5db7587da3e4: Preparing
65004a62fd70: Preparing
89c68eafa714: Preparing
bbb59d99e875: Preparing
d20ece5534b3: Preparing
5049b77a7211: Preparing
c45c46033aa8: Preparing
b8a36d10656a: Preparing
65004a62fd70: Waiting
89c68eafa714: Waiting
052ab89e8cb0: Waiting
bbb59d99e875: Waiting
74d4e9e29f5f: Waiting
d20ece5534b3: Waiting
5049b77a7211: Waiting
5db7587da3e4: Waiting
8aa783cec78e: Waiting
19ec79574076: Waiting
20a24260cd12: Waiting
c45c46033aa8: Waiting
5f70bf18a086: Layer already exists
e0b31f48cff6: Pushed
052ab89e8cb0: Pushed
516f3f8cc4bd: Pushed
e1ee9a70ccad: Pushed
8aa783cec78e: Pushed
74d4e9e29f5f: Pushed
875bade7483d: Pushed
a3af4e3e2f98: Pushed
19ec79574076: Pushed
5db7587da3e4: Pushed
d20ece5534b3: Layer already exists
5049b77a7211: Layer already exists
c45c46033aa8: Layer already exists
b8a36d10656a: Layer already exists
20a24260cd12: Pushed
65004a62fd70: Pushed
89c68eafa714: Pushed
bbb59d99e875: Pushed
20230530203837: digest: 
sha256:9a2fd2a12f770e94b7ea8248e1f8df77603fb62951d61a37461b2f2c478a5e93 size: 
4297

> Task :sdks:java:testing:load-tests:run
May 30, 2023 8:38:56 PM 
org.apache.beam.runners.dataflow.options.DataflowPipelineOptions$StagingLocationFactory
 create
INFO: No stagingLocation provided, falling back to gcpTempLocation
May 30, 2023 8:38:57 PM org.apache.beam.runners.dataflow.DataflowRunner 
fromOptions
INFO: PipelineOptions.filesToStage was not specified. Defaulting to files from 
the classpath: will stage 229 files. Enable logging at DEBUG level to see which 
files will be staged.
May 30, 2023 8:38:58 PM org.apache.beam.sdk.Pipeline validate
WARNING: The following transforms do not have stable unique names: Window.Into()
May 30, 2023 8:38:58 PM org.apache.beam.runners.dataflow.DataflowRunner run
INFO: Executing pipeline on the Dataflow Service, which will have billing 
implications related to Google Compute Engine usage and other Google Cloud 
Services.
May 30, 2023 8:39:00 PM org.apache.beam.runners.dataflow.util.PackageUtil 
stageClasspathElements
INFO: Uploading 229 files from PipelineOptions.filesToStage to staging location 
to prepare for execution.
May 30, 2023 8:39:00 PM org.apache.beam.runners.dataflow.util.PackageUtil 
stageClasspathElements
INFO: Staging files complete: 229 files cached, 0 files newly uploaded in 0 
seconds
May 30, 2023 8:39:00 PM org.apache.beam.runners.dataflow.DataflowRunner run
INFO: Staging portable pipeline proto to 
gs://temp-storage-for-perf-tests/loadtests/staging/
May 30, 2023 8:39:00 PM org.apache.beam.runners.dataflow.util.PackageUtil 
tryStagePackage
INFO: Uploading <122725 bytes, hash 
4165846aac55d520270b7d9beadf1b8f45f0b2135c037263aa680eb50dfb00d3> to 
gs://temp-storage-for-perf-tests/loadtests/staging/pipeline-QWWEaqxV1SAnC32b6t8bj0XwshNcA3JjqmgOtQ37ANM.pb
May 30, 2023 8:39:02 PM 
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding Read input/DataflowRunner.StreamingUnboundedRead.ReadWithIds as 
step s1
May 30, 2023 8:39:02 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}]
May 30, 2023 8:39:02 PM 
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding Read input/StripIds as step s2
May 30, 2023 8:39:02 PM 
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding Collect start time metrics (input) as step s3
May 30, 2023 8:39:02 PM 
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding Window.Into()/Window.Assign as step s4
May 30, 2023 8:39:02 PM 
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding Read co-input/DataflowRunner.StreamingUnboundedRead.ReadWithIds as 
step s5
May 30, 2023 8:39:02 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}]
May 30, 2023 8:39:02 PM 
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding Read co-input/StripIds as step s6
May 30, 2023 8:39:02 PM 
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding Collect start time metrics (co-input) as step s7
May 30, 2023 8:39:02 PM 
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding Window.Into()2/Window.Assign as step s8
May 30, 2023 8:39:02 PM 
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding CoGroupByKey/MakeUnionTable0 as step s9
May 30, 2023 8:39:02 PM 
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding CoGroupByKey/MakeUnionTable1 as step s10
May 30, 2023 8:39:02 PM 
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding CoGroupByKey/Flatten as step s11
May 30, 2023 8:39:02 PM 
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding CoGroupByKey/GBK as step s12
May 30, 2023 8:39:02 PM 
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding CoGroupByKey/ConstructCoGbkResultFn as step s13
May 30, 2023 8:39:02 PM 
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding Ungroup and reiterate as step s14
May 30, 2023 8:39:02 PM 
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding Collect total bytes as step s15
May 30, 2023 8:39:02 PM 
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding Collect end time metrics as step s16
May 30, 2023 8:39:02 PM org.apache.beam.runners.dataflow.DataflowRunner run
INFO: Dataflow SDK version: 2.49.0-SNAPSHOT
May 30, 2023 8:39:03 PM org.apache.beam.runners.dataflow.DataflowRunner run
INFO: To access the Dataflow monitoring console, please navigate to 
https://console.cloud.google.com/dataflow/jobs/us-central1/2023-05-30_13_39_03-8145313785982042134?project=apache-beam-testing
May 30, 2023 8:39:03 PM org.apache.beam.runners.dataflow.DataflowRunner run
INFO: Submitted job: 2023-05-30_13_39_03-8145313785982042134
May 30, 2023 8:39:03 PM org.apache.beam.runners.dataflow.DataflowRunner run
INFO: To cancel the job using the 'gcloud' tool, run:
> gcloud dataflow jobs --project=apache-beam-testing cancel 
> --region=us-central1 2023-05-30_13_39_03-8145313785982042134
May 30, 2023 8:39:09 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
WARNING: 2023-05-30T20:39:08.035Z: 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-05-hp5m. 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 30, 2023 8:39:15 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2023-05-30T20:39:13.959Z: Worker configuration: e2-standard-2 in 
us-central1-a.
May 30, 2023 8:39:15 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2023-05-30T20:39:14.981Z: Expanding SplittableParDo operations into 
optimizable parts.
May 30, 2023 8:39:15 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2023-05-30T20:39:15.024Z: Expanding CollectionToSingleton operations into 
optimizable parts.
May 30, 2023 8:39:17 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2023-05-30T20:39:15.087Z: Expanding CoGroupByKey operations into 
optimizable parts.
May 30, 2023 8:39:17 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2023-05-30T20:39:15.151Z: Expanding SplittableProcessKeyed operations 
into optimizable parts.
May 30, 2023 8:39:17 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2023-05-30T20:39:15.177Z: Expanding GroupByKey operations into streaming 
Read/Write steps
May 30, 2023 8:39:17 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2023-05-30T20:39:15.243Z: Lifting ValueCombiningMappingFns into 
MergeBucketsMappingFns
May 30, 2023 8:39:17 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2023-05-30T20:39:15.329Z: Fusing adjacent ParDo, Read, Write, and Flatten 
operations
May 30, 2023 8:39:17 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2023-05-30T20:39:15.366Z: Unzipping flatten CoGroupByKey-Flatten for 
input CoGroupByKey-MakeUnionTable0-ParMultiDo-ConstructUnionTable-.output
May 30, 2023 8:39:17 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2023-05-30T20:39:15.401Z: Fusing unzipped copy of 
CoGroupByKey/GBK/WriteStream, through flatten CoGroupByKey/Flatten, into 
producer CoGroupByKey/MakeUnionTable0/ParMultiDo(ConstructUnionTable)
May 30, 2023 8:39:17 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2023-05-30T20:39:15.434Z: Fusing consumer CoGroupByKey/GBK/WriteStream 
into CoGroupByKey/MakeUnionTable1/ParMultiDo(ConstructUnionTable)
May 30, 2023 8:39:17 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2023-05-30T20:39:15.455Z: Fusing consumer Read 
input/ParDo(OutputSingleSource)/ParMultiDo(OutputSingleSource) into Read 
input/Impulse
May 30, 2023 8:39:17 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2023-05-30T20:39:15.486Z: Fusing consumer 
Read-input-ParDo-UnboundedSourceAsSDFWrapper--ParMultiDo-UnboundedSourceAsSDFWrapper-/PairWithRestriction
 into Read input/ParDo(OutputSingleSource)/ParMultiDo(OutputSingleSource)
May 30, 2023 8:39:17 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2023-05-30T20:39:15.510Z: Fusing consumer 
Read-input-ParDo-UnboundedSourceAsSDFWrapper--ParMultiDo-UnboundedSourceAsSDFWrapper-/SplitWithSizing
 into 
Read-input-ParDo-UnboundedSourceAsSDFWrapper--ParMultiDo-UnboundedSourceAsSDFWrapper-/PairWithRestriction
May 30, 2023 8:39:17 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2023-05-30T20:39:15.538Z: Fusing consumer Read 
input/ParDo(StripIds)/ParMultiDo(StripIds) into 
Read-input-ParDo-UnboundedSourceAsSDFWrapper--ParMultiDo-UnboundedSourceAsSDFWrapper-/ProcessElementAndRestrictionWithSizing
May 30, 2023 8:39:17 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2023-05-30T20:39:15.570Z: Fusing consumer Collect start time metrics 
(input)/ParMultiDo(TimeMonitor) into Read 
input/ParDo(StripIds)/ParMultiDo(StripIds)
May 30, 2023 8:39:17 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2023-05-30T20:39:15.604Z: Fusing consumer Window.Into()/Window.Assign 
into Collect start time metrics (input)/ParMultiDo(TimeMonitor)
May 30, 2023 8:39:17 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2023-05-30T20:39:15.639Z: Fusing consumer 
CoGroupByKey/MakeUnionTable0/ParMultiDo(ConstructUnionTable) into 
Window.Into()/Window.Assign
May 30, 2023 8:39:17 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2023-05-30T20:39:15.668Z: Fusing consumer Read 
co-input/ParDo(OutputSingleSource)/ParMultiDo(OutputSingleSource) into Read 
co-input/Impulse
May 30, 2023 8:39:17 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2023-05-30T20:39:15.699Z: Fusing consumer 
Read-co-input-ParDo-UnboundedSourceAsSDFWrapper--ParMultiDo-UnboundedSourceAsSDFWrapper-/PairWithRestriction
 into Read co-input/ParDo(OutputSingleSource)/ParMultiDo(OutputSingleSource)
May 30, 2023 8:39:17 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2023-05-30T20:39:15.732Z: Fusing consumer 
Read-co-input-ParDo-UnboundedSourceAsSDFWrapper--ParMultiDo-UnboundedSourceAsSDFWrapper-/SplitWithSizing
 into 
Read-co-input-ParDo-UnboundedSourceAsSDFWrapper--ParMultiDo-UnboundedSourceAsSDFWrapper-/PairWithRestriction
May 30, 2023 8:39:17 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2023-05-30T20:39:15.756Z: Fusing consumer Read 
co-input/ParDo(StripIds)/ParMultiDo(StripIds) into 
Read-co-input-ParDo-UnboundedSourceAsSDFWrapper--ParMultiDo-UnboundedSourceAsSDFWrapper-/ProcessElementAndRestrictionWithSizing
May 30, 2023 8:39:17 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2023-05-30T20:39:15.783Z: Fusing consumer Collect start time metrics 
(co-input)/ParMultiDo(TimeMonitor) into Read 
co-input/ParDo(StripIds)/ParMultiDo(StripIds)
May 30, 2023 8:39:17 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2023-05-30T20:39:15.819Z: Fusing consumer Window.Into()2/Window.Assign 
into Collect start time metrics (co-input)/ParMultiDo(TimeMonitor)
May 30, 2023 8:39:17 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2023-05-30T20:39:15.851Z: Fusing consumer 
CoGroupByKey/MakeUnionTable1/ParMultiDo(ConstructUnionTable) into 
Window.Into()2/Window.Assign
May 30, 2023 8:39:17 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2023-05-30T20:39:15.876Z: Fusing consumer CoGroupByKey/GBK/MergeBuckets 
into CoGroupByKey/GBK/ReadStream
May 30, 2023 8:39:17 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2023-05-30T20:39:15.898Z: Fusing consumer 
CoGroupByKey/ConstructCoGbkResultFn/ParMultiDo(ConstructCoGbkResult) into 
CoGroupByKey/GBK/MergeBuckets
May 30, 2023 8:39:17 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2023-05-30T20:39:15.932Z: Fusing consumer Ungroup and 
reiterate/ParMultiDo(UngroupAndReiterate) into 
CoGroupByKey/ConstructCoGbkResultFn/ParMultiDo(ConstructCoGbkResult)
May 30, 2023 8:39:17 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2023-05-30T20:39:15.960Z: Fusing consumer Collect total 
bytes/ParMultiDo(ByteMonitor) into Ungroup and 
reiterate/ParMultiDo(UngroupAndReiterate)
May 30, 2023 8:39:17 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2023-05-30T20:39:15.994Z: Fusing consumer Collect end time 
metrics/ParMultiDo(TimeMonitor) into Collect total bytes/ParMultiDo(ByteMonitor)
May 30, 2023 8:39:17 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2023-05-30T20:39:16.122Z: Running job using Streaming Engine
May 30, 2023 8:39:17 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2023-05-30T20:39:16.324Z: Starting 5 ****s in us-central1-a...
May 30, 2023 8:39:33 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2023-05-30T20:39:33.353Z: Your project already contains 100 
Dataflow-created metric descriptors, so new user metrics of the form 
custom.googleapis.com/* will not be created. However, all user metrics are also 
available in the metric dataflow.googleapis.com/job/user_counter. If you rely 
on the custom metrics, you can delete old / unused metric descriptors. See 
https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.list
 and 
https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.delete
May 30, 2023 8:40:28 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2023-05-30T20:40:27.552Z: Autoscaling: 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 30, 2023 8:41:19 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2023-05-30T20:41:18.501Z: Workers have started successfully.
May 30, 2023 8:41:19 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2023-05-30T20:41:18.994Z: All ****s have finished the startup processes 
and began to receive work requests.
May 30, 2023 8:43:16 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2023-05-30T20:43:15.493Z: Worker configuration: e2-standard-2 in 
us-central1-a.
May 30, 2023 8:43:21 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2023-05-30T20:43:19.764Z: 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 30, 2023 8:48:54 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2023-05-30T20:48:52.632Z: Cleaning up.
May 30, 2023 8:48:54 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2023-05-30T20:48:52.717Z: Stopping **** pool...
May 30, 2023 8:48:54 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2023-05-30T20:48:52.777Z: Stopping **** pool...
May 30, 2023 8:51:21 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2023-05-30T20:51:19.722Z: 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 30, 2023 8:51:21 PM 
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2023-05-30T20:51:19.788Z: Worker pool stopped.
May 30, 2023 8:51:27 PM org.apache.beam.runners.dataflow.DataflowPipelineJob 
logTerminalState
INFO: Job 2023-05-30_13_39_03-8145313785982042134 finished with status DONE.
Load test results for test (ID): f6afafeb-d0f9-490a-b0f7-8c9b13dd9899 and 
timestamp: 2023-05-30T20:38:57.911000000Z:
                 Metric:                    Value:
dataflow_v2_java11_runtime_sec                   322.133
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:20230530203837
Untagged: 
us.gcr.io/apache-beam-testing/java-postcommit-it/java@sha256:9a2fd2a12f770e94b7ea8248e1f8df77603fb62951d61a37461b2f2c478a5e93
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:20230530203837]
- referencing digest: 
[us.gcr.io/apache-beam-testing/java-postcommit-it/java@sha256:9a2fd2a12f770e94b7ea8248e1f8df77603fb62951d61a37461b2f2c478a5e93]

Deleted [[us.gcr.io/apache-beam-testing/java-postcommit-it/java:20230530203837] 
(referencing 
[us.gcr.io/apache-beam-testing/java-postcommit-it/java@sha256:9a2fd2a12f770e94b7ea8248e1f8df77603fb62951d61a37461b2f2c478a5e93])].
Removing untagged image 
us.gcr.io/apache-beam-testing/java-postcommit-it/java@sha256:23336c7b6bfda05ba7062289841f98ea7d83b36de5a861eb7914607b7901d399
Digests:
- 
us.gcr.io/apache-beam-testing/java-postcommit-it/java@sha256:23336c7b6bfda05ba7062289841f98ea7d83b36de5a861eb7914607b7901d399
ERROR: (gcloud.container.images.delete) Not found: response: 
{'docker-distribution-api-version': 'registry/2.0', 'content-type': 
'application/json', 'content-encoding': 'gzip', 'date': 'Tue, 30 May 2023 
20:51:31 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: 
'sha256:23336c7b6bfda05ba7062289841f98ea7d83b36de5a861eb7914607b7901d399': 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: 305

* 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 13m 9s
112 actionable tasks: 9 executed, 103 up-to-date

Publishing build scan...
https://ge.apache.org/s/icbbjfvsfjzoa

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

---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]

Reply via email to