See
<https://ci-beam.apache.org/job/beam_LoadTests_Java_CoGBK_Dataflow_V2_Streaming_Java17/269/display/redirect?page=changes>
Changes:
[bulat.safiullin] [Website] update site navigation #22902
[noreply] Pass namespace through RunInference transform (#23182)
[noreply] [GitHub Actions] - INFRA scripts to implement GCP Self-hosted runners
[noreply] GA migration - Base actions to use for precommit and postcommit
[noreply] Test fix Kafka Performance test batch (#23191)
[noreply] Revert "Exclude protobuf 3.20.2" (#23237)
[noreply] Fix outdated code in python sdk install (#23231)
[noreply] Bump up dataflow python container version to beam-master-20220914
[noreply] Improve the performance of TextSource by reducing how many byte[]s are
[noreply] Issue#21430 Avoid pruning DataframeTransforms (#23069)
------------------------------------------
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> Task :sdks:java:testing:load-tests:run
Sep 16, 2022 2:44:26 PM
org.apache.beam.runners.dataflow.options.DataflowPipelineOptions$StagingLocationFactory
create
INFO: No stagingLocation provided, falling back to gcpTempLocation
Sep 16, 2022 2:44:27 PM org.apache.beam.runners.dataflow.DataflowRunner
fromOptions
INFO: PipelineOptions.filesToStage was not specified. Defaulting to files from
the classpath: will stage 227 files. Enable logging at DEBUG level to see which
files will be staged.
Sep 16, 2022 2:44:28 PM org.apache.beam.sdk.Pipeline validate
WARNING: The following transforms do not have stable unique names: Window.Into()
Sep 16, 2022 2:44:28 PM org.apache.beam.runners.dataflow.DataflowRunner run
INFO: Executing pipeline on the Dataflow Service, which will have billing
implications related to Google Compute Engine usage and other Google Cloud
Services.
Sep 16, 2022 2:44:30 PM org.apache.beam.runners.dataflow.util.PackageUtil
stageClasspathElements
INFO: Uploading 227 files from PipelineOptions.filesToStage to staging location
to prepare for execution.
Sep 16, 2022 2:44:30 PM org.apache.beam.runners.dataflow.util.PackageUtil
stageClasspathElements
INFO: Staging files complete: 227 files cached, 0 files newly uploaded in 0
seconds
Sep 16, 2022 2:44:31 PM org.apache.beam.runners.dataflow.DataflowRunner run
INFO: Staging portable pipeline proto to
gs://temp-storage-for-perf-tests/loadtests/staging/
Sep 16, 2022 2:44:31 PM org.apache.beam.runners.dataflow.util.PackageUtil
tryStagePackage
INFO: Uploading <122032 bytes, hash
d78174faa85e1b128e0de2b5e26c2013390d19ff93e68166ff9911e67cb70261> to
gs://temp-storage-for-perf-tests/loadtests/staging/pipeline-14F0-qheGxKODeK14mwgEzkNGf-T5oFm_5kR5ny3AmE.pb
Sep 16, 2022 2:44:32 PM
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding Read input/DataflowRunner.StreamingUnboundedRead.ReadWithIds as
step s1
Sep 16, 2022 2:44:32 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}]
Sep 16, 2022 2:44:32 PM
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding Read input/StripIds as step s2
Sep 16, 2022 2:44:32 PM
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding Collect start time metrics (input) as step s3
Sep 16, 2022 2:44:32 PM
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding Window.Into()/Window.Assign as step s4
Sep 16, 2022 2:44:32 PM
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding Read co-input/DataflowRunner.StreamingUnboundedRead.ReadWithIds as
step s5
Sep 16, 2022 2:44:32 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}]
Sep 16, 2022 2:44:33 PM
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding Read co-input/StripIds as step s6
Sep 16, 2022 2:44:33 PM
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding Collect start time metrics (co-input) as step s7
Sep 16, 2022 2:44:33 PM
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding Window.Into()2/Window.Assign as step s8
Sep 16, 2022 2:44:33 PM
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding CoGroupByKey/MakeUnionTable0 as step s9
Sep 16, 2022 2:44:33 PM
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding CoGroupByKey/MakeUnionTable1 as step s10
Sep 16, 2022 2:44:33 PM
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding CoGroupByKey/Flatten as step s11
Sep 16, 2022 2:44:33 PM
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding CoGroupByKey/GBK as step s12
Sep 16, 2022 2:44:33 PM
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding CoGroupByKey/ConstructCoGbkResultFn as step s13
Sep 16, 2022 2:44:33 PM
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding Ungroup and reiterate as step s14
Sep 16, 2022 2:44:33 PM
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding Collect total bytes as step s15
Sep 16, 2022 2:44:33 PM
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding Collect end time metrics as step s16
Sep 16, 2022 2:44:33 PM org.apache.beam.runners.dataflow.DataflowRunner run
INFO: Dataflow SDK version: 2.43.0-SNAPSHOT
Sep 16, 2022 2:44:33 PM org.apache.beam.runners.dataflow.DataflowRunner run
INFO: To access the Dataflow monitoring console, please navigate to
https://console.cloud.google.com/dataflow/jobs/us-central1/2022-09-16_07_44_33-3193392438298327675?project=apache-beam-testing
Sep 16, 2022 2:44:33 PM org.apache.beam.runners.dataflow.DataflowRunner run
INFO: Submitted job: 2022-09-16_07_44_33-3193392438298327675
Sep 16, 2022 2:44:33 PM org.apache.beam.runners.dataflow.DataflowRunner run
INFO: To cancel the job using the 'gcloud' tool, run:
> gcloud dataflow jobs --project=apache-beam-testing cancel
> --region=us-central1 2022-09-16_07_44_33-3193392438298327675
Sep 16, 2022 2:44:39 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
WARNING: 2022-09-16T14:44:38.965Z: 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:
load0tests0java170dataflow0v20streaming0cogbk04-jenkins-09-otvx. 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
Sep 16, 2022 2:44:45 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-09-16T14:44:44.849Z: Worker configuration: e2-standard-2 in
us-central1-a.
Sep 16, 2022 2:44:47 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-09-16T14:44:45.642Z: Expanding SplittableParDo operations into
optimizable parts.
Sep 16, 2022 2:44:47 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-09-16T14:44:45.677Z: Expanding CollectionToSingleton operations into
optimizable parts.
Sep 16, 2022 2:44:47 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-09-16T14:44:45.756Z: Expanding CoGroupByKey operations into
optimizable parts.
Sep 16, 2022 2:44:47 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-09-16T14:44:45.850Z: Expanding SplittableProcessKeyed operations
into optimizable parts.
Sep 16, 2022 2:44:47 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-09-16T14:44:45.880Z: Expanding GroupByKey operations into streaming
Read/Write steps
Sep 16, 2022 2:44:47 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-09-16T14:44:45.949Z: Lifting ValueCombiningMappingFns into
MergeBucketsMappingFns
Sep 16, 2022 2:44:47 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-09-16T14:44:46.052Z: Fusing adjacent ParDo, Read, Write, and Flatten
operations
Sep 16, 2022 2:44:47 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-09-16T14:44:46.119Z: Unzipping flatten CoGroupByKey-Flatten for
input CoGroupByKey-MakeUnionTable0-ParMultiDo-ConstructUnionTable-.output
Sep 16, 2022 2:44:47 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-09-16T14:44:46.147Z: Fusing unzipped copy of
CoGroupByKey/GBK/WriteStream, through flatten CoGroupByKey/Flatten, into
producer CoGroupByKey/MakeUnionTable0/ParMultiDo(ConstructUnionTable)
Sep 16, 2022 2:44:47 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-09-16T14:44:46.181Z: Fusing consumer CoGroupByKey/GBK/WriteStream
into CoGroupByKey/MakeUnionTable1/ParMultiDo(ConstructUnionTable)
Sep 16, 2022 2:44:47 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-09-16T14:44:46.218Z: Fusing consumer Read
input/ParDo(OutputSingleSource)/ParMultiDo(OutputSingleSource) into Read
input/Impulse
Sep 16, 2022 2:44:47 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-09-16T14:44:46.255Z: Fusing consumer
Read-input-ParDo-UnboundedSourceAsSDFWrapper--ParMultiDo-UnboundedSourceAsSDFWrapper-/PairWithRestriction
into Read input/ParDo(OutputSingleSource)/ParMultiDo(OutputSingleSource)
Sep 16, 2022 2:44:47 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-09-16T14:44:46.304Z: Fusing consumer
Read-input-ParDo-UnboundedSourceAsSDFWrapper--ParMultiDo-UnboundedSourceAsSDFWrapper-/SplitWithSizing
into
Read-input-ParDo-UnboundedSourceAsSDFWrapper--ParMultiDo-UnboundedSourceAsSDFWrapper-/PairWithRestriction
Sep 16, 2022 2:44:47 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-09-16T14:44:46.335Z: Fusing consumer Read
input/ParDo(StripIds)/ParMultiDo(StripIds) into
Read-input-ParDo-UnboundedSourceAsSDFWrapper--ParMultiDo-UnboundedSourceAsSDFWrapper-/ProcessElementAndRestrictionWithSizing
Sep 16, 2022 2:44:47 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-09-16T14:44:46.361Z: Fusing consumer Collect start time metrics
(input)/ParMultiDo(TimeMonitor) into Read
input/ParDo(StripIds)/ParMultiDo(StripIds)
Sep 16, 2022 2:44:47 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-09-16T14:44:46.398Z: Fusing consumer Window.Into()/Window.Assign
into Collect start time metrics (input)/ParMultiDo(TimeMonitor)
Sep 16, 2022 2:44:47 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-09-16T14:44:46.437Z: Fusing consumer
CoGroupByKey/MakeUnionTable0/ParMultiDo(ConstructUnionTable) into
Window.Into()/Window.Assign
Sep 16, 2022 2:44:47 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-09-16T14:44:46.474Z: Fusing consumer Read
co-input/ParDo(OutputSingleSource)/ParMultiDo(OutputSingleSource) into Read
co-input/Impulse
Sep 16, 2022 2:44:47 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-09-16T14:44:46.532Z: Fusing consumer
Read-co-input-ParDo-UnboundedSourceAsSDFWrapper--ParMultiDo-UnboundedSourceAsSDFWrapper-/PairWithRestriction
into Read co-input/ParDo(OutputSingleSource)/ParMultiDo(OutputSingleSource)
Sep 16, 2022 2:44:47 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-09-16T14:44:46.568Z: Fusing consumer
Read-co-input-ParDo-UnboundedSourceAsSDFWrapper--ParMultiDo-UnboundedSourceAsSDFWrapper-/SplitWithSizing
into
Read-co-input-ParDo-UnboundedSourceAsSDFWrapper--ParMultiDo-UnboundedSourceAsSDFWrapper-/PairWithRestriction
Sep 16, 2022 2:44:47 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-09-16T14:44:46.612Z: Fusing consumer Read
co-input/ParDo(StripIds)/ParMultiDo(StripIds) into
Read-co-input-ParDo-UnboundedSourceAsSDFWrapper--ParMultiDo-UnboundedSourceAsSDFWrapper-/ProcessElementAndRestrictionWithSizing
Sep 16, 2022 2:44:47 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-09-16T14:44:46.651Z: Fusing consumer Collect start time metrics
(co-input)/ParMultiDo(TimeMonitor) into Read
co-input/ParDo(StripIds)/ParMultiDo(StripIds)
Sep 16, 2022 2:44:47 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-09-16T14:44:46.676Z: Fusing consumer Window.Into()2/Window.Assign
into Collect start time metrics (co-input)/ParMultiDo(TimeMonitor)
Sep 16, 2022 2:44:47 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-09-16T14:44:46.712Z: Fusing consumer
CoGroupByKey/MakeUnionTable1/ParMultiDo(ConstructUnionTable) into
Window.Into()2/Window.Assign
Sep 16, 2022 2:44:47 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-09-16T14:44:46.755Z: Fusing consumer CoGroupByKey/GBK/MergeBuckets
into CoGroupByKey/GBK/ReadStream
Sep 16, 2022 2:44:47 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-09-16T14:44:46.790Z: Fusing consumer
CoGroupByKey/ConstructCoGbkResultFn/ParMultiDo(ConstructCoGbkResult) into
CoGroupByKey/GBK/MergeBuckets
Sep 16, 2022 2:44:47 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-09-16T14:44:46.819Z: Fusing consumer Ungroup and
reiterate/ParMultiDo(UngroupAndReiterate) into
CoGroupByKey/ConstructCoGbkResultFn/ParMultiDo(ConstructCoGbkResult)
Sep 16, 2022 2:44:47 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-09-16T14:44:46.850Z: Fusing consumer Collect total
bytes/ParMultiDo(ByteMonitor) into Ungroup and
reiterate/ParMultiDo(UngroupAndReiterate)
Sep 16, 2022 2:44:47 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-09-16T14:44:46.885Z: Fusing consumer Collect end time
metrics/ParMultiDo(TimeMonitor) into Collect total bytes/ParMultiDo(ByteMonitor)
Sep 16, 2022 2:44:47 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-09-16T14:44:47.057Z: Running job using Streaming Engine
Sep 16, 2022 2:44:47 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-09-16T14:44:47.322Z: Starting 5 ****s in us-central1-a...
Sep 16, 2022 2:45:08 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-09-16T14:45:07.786Z: Your project already contains 100
Dataflow-created metric descriptors, so new user metrics of the form
custom.googleapis.com/* will not be created. However, all user metrics are also
available in the metric dataflow.googleapis.com/job/user_counter. If you rely
on the custom metrics, you can delete old / unused metric descriptors. See
https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.list
and
https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.delete
Sep 16, 2022 2:45:33 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-09-16T14:45:30.976Z: 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.
Sep 16, 2022 2:46:36 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-09-16T14:46:33.483Z: Workers have started successfully.
Sep 16, 2022 2:53:07 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-09-16T14:53:06.786Z: Cleaning up.
Sep 16, 2022 2:53:07 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-09-16T14:53:06.887Z: Stopping **** pool...
Sep 16, 2022 2:53:07 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-09-16T14:53:06.986Z: Stopping **** pool...
Sep 16, 2022 2:55:22 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-09-16T14:55:22.342Z: Autoscaling: Reduced the number of ****s to 0
based on low average **** CPU utilization, and the pipeline having sufficiently
low backlog and keeping up with input rate.
Sep 16, 2022 2:55:25 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-09-16T14:55:22.665Z: Worker pool stopped.
Sep 16, 2022 2:55:29 PM org.apache.beam.runners.dataflow.DataflowPipelineJob
logTerminalState
INFO: Job 2022-09-16_07_44_33-3193392438298327675 finished with status DONE.
Load test results for test (ID): 2a42da3c-eb2e-4b60-8b1a-928b8e33f87e and
timestamp: 2022-09-16T14:44:27.572000000Z:
Metric: Value:
dataflow_v2_java17_runtime_sec 291.326
dataflow_v2_java17_total_bytes_count 3.99996E8
> Task :runners:google-cloud-dataflow-java:cleanUpDockerJavaImages
Untagged: us.gcr.io/apache-beam-testing/java-postcommit-it/java:20220916144348
Untagged:
us.gcr.io/apache-beam-testing/java-postcommit-it/java@sha256:50cf212dd42981136c32e8fa97df0e83724e2e0d870dd168bf74e1c4659059d8
Tag: [us.gcr.io/apache-beam-testing/java-postcommit-it/java:20220916144348]
- referencing digest:
[us.gcr.io/apache-beam-testing/java-postcommit-it/java@sha256:50cf212dd42981136c32e8fa97df0e83724e2e0d870dd168bf74e1c4659059d8]
Deleted [[us.gcr.io/apache-beam-testing/java-postcommit-it/java:20220916144348]
(referencing
[us.gcr.io/apache-beam-testing/java-postcommit-it/java@sha256:50cf212dd42981136c32e8fa97df0e83724e2e0d870dd168bf74e1c4659059d8])].
Removing untagged image
us.gcr.io/apache-beam-testing/java-postcommit-it/java@sha256:7131b1c0f08fa1855ffa590c4732a3bffabab8ef1845fc3c365e000082de4612
Digests:
-
us.gcr.io/apache-beam-testing/java-postcommit-it/java@sha256:7131b1c0f08fa1855ffa590c4732a3bffabab8ef1845fc3c365e000082de4612
ERROR: (gcloud.container.images.delete) Not found: response:
{'docker-distribution-api-version': 'registry/2.0', 'content-type':
'application/json', 'date': 'Fri, 16 Sep 2022 14:55:38 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:
'sha256:7131b1c0f08fa1855ffa590c4732a3bffabab8ef1845fc3c365e000082de4612': 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_Java17/ws/src/runners/google-cloud-dataflow-java/build.gradle'>
line: 302
* 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 11m 52s
105 actionable tasks: 8 executed, 97 up-to-date
Publishing build scan...
https://gradle.com/s/pv3en4sa6uiqs
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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