See
<https://ci-beam.apache.org/job/beam_LoadTests_Java_CoGBK_Dataflow_V2_Streaming_Java17/319/display/redirect?page=changes>
Changes:
[Robert Bradshaw] Move logging to its own module.
[Robert Bradshaw] Cleanup worker logging.
[Robert Bradshaw] Add basic counter setting and getting to the typescript SDK.
[Robert Bradshaw] Support metrics over the portability API.
[Robert Bradshaw] Add distribution metric type.
[Robert Bradshaw] old prettier change
[noreply] TFX image classification example (#23456)
[noreply] Immediately truncate full restriction on drain of periodic impulse
[noreply] [Task]: PR Bot will push commits only if they are non-empty (#23937)
[noreply] Bump cloud.google.com/go/datastore from 1.8.0 to 1.9.0 in /sdks
(#23916)
[Robert Bradshaw] Remove obsolete TODO.
[Robert Bradshaw] Only report counters that were actually used.
[noreply] Add custom inference fn suport to the sklearn model handlers (#23642)
[noreply] removed trailing whitespace (#23987)
[noreply] Beam starter projects blog post (#23964)
[noreply] Enable more portable-runner requiring tests. (#23970)
[noreply] Website add and update logos (#23899)
------------------------------------------
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> Task :sdks:java:testing:load-tests:run
Nov 05, 2022 12:32:34 PM
org.apache.beam.runners.dataflow.options.DataflowPipelineOptions$StagingLocationFactory
create
INFO: No stagingLocation provided, falling back to gcpTempLocation
Nov 05, 2022 12:32:35 PM org.apache.beam.runners.dataflow.DataflowRunner
fromOptions
INFO: PipelineOptions.filesToStage was not specified. Defaulting to files from
the classpath: will stage 229 files. Enable logging at DEBUG level to see which
files will be staged.
Nov 05, 2022 12:32:36 PM org.apache.beam.sdk.Pipeline validate
WARNING: The following transforms do not have stable unique names: Window.Into()
Nov 05, 2022 12:32:36 PM org.apache.beam.runners.dataflow.DataflowRunner run
INFO: Executing pipeline on the Dataflow Service, which will have billing
implications related to Google Compute Engine usage and other Google Cloud
Services.
Nov 05, 2022 12:32:39 PM org.apache.beam.runners.dataflow.util.PackageUtil
stageClasspathElements
INFO: Uploading 229 files from PipelineOptions.filesToStage to staging location
to prepare for execution.
Nov 05, 2022 12:32:39 PM org.apache.beam.runners.dataflow.util.PackageUtil
stageClasspathElements
INFO: Staging files complete: 229 files cached, 0 files newly uploaded in 0
seconds
Nov 05, 2022 12:32:39 PM org.apache.beam.runners.dataflow.DataflowRunner run
INFO: Staging portable pipeline proto to
gs://temp-storage-for-perf-tests/loadtests/staging/
Nov 05, 2022 12:32:39 PM org.apache.beam.runners.dataflow.util.PackageUtil
tryStagePackage
INFO: Uploading <122670 bytes, hash
53d9a674979d87a06760a5a45c81b23907992634999a1143fa2306206e2641be> to
gs://temp-storage-for-perf-tests/loadtests/staging/pipeline-U9mmdJedh6BnYKWkXIGyOQeZJjSZmhFD-iMGIG4mQb4.pb
Nov 05, 2022 12:32:41 PM
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding Read input/DataflowRunner.StreamingUnboundedRead.ReadWithIds as
step s1
Nov 05, 2022 12:32:41 PM
org.apache.beam.sdk.io.synthetic.SyntheticUnboundedSource split
INFO: Split into 20 bundles: [SyntheticUnboundedSource{startOffset=0,
endOffset=1000000}, SyntheticUnboundedSource{startOffset=1000000,
endOffset=2000000}, SyntheticUnboundedSource{startOffset=2000000,
endOffset=3000000}, SyntheticUnboundedSource{startOffset=3000000,
endOffset=4000000}, SyntheticUnboundedSource{startOffset=4000000,
endOffset=5000000}, SyntheticUnboundedSource{startOffset=5000000,
endOffset=6000000}, SyntheticUnboundedSource{startOffset=6000000,
endOffset=7000000}, SyntheticUnboundedSource{startOffset=7000000,
endOffset=8000000}, SyntheticUnboundedSource{startOffset=8000000,
endOffset=9000000}, SyntheticUnboundedSource{startOffset=9000000,
endOffset=10000000}, SyntheticUnboundedSource{startOffset=10000000,
endOffset=11000000}, SyntheticUnboundedSource{startOffset=11000000,
endOffset=12000000}, SyntheticUnboundedSource{startOffset=12000000,
endOffset=13000000}, SyntheticUnboundedSource{startOffset=13000000,
endOffset=14000000}, SyntheticUnboundedSource{startOffset=14000000,
endOffset=15000000}, SyntheticUnboundedSource{startOffset=15000000,
endOffset=16000000}, SyntheticUnboundedSource{startOffset=16000000,
endOffset=17000000}, SyntheticUnboundedSource{startOffset=17000000,
endOffset=18000000}, SyntheticUnboundedSource{startOffset=18000000,
endOffset=19000000}, SyntheticUnboundedSource{startOffset=19000000,
endOffset=20000000}]
Nov 05, 2022 12:32:41 PM
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding Read input/StripIds as step s2
Nov 05, 2022 12:32:41 PM
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding Collect start time metrics (input) as step s3
Nov 05, 2022 12:32:41 PM
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding Window.Into()/Window.Assign as step s4
Nov 05, 2022 12:32:41 PM
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding Read co-input/DataflowRunner.StreamingUnboundedRead.ReadWithIds as
step s5
Nov 05, 2022 12:32:41 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}]
Nov 05, 2022 12:32:41 PM
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding Read co-input/StripIds as step s6
Nov 05, 2022 12:32:41 PM
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding Collect start time metrics (co-input) as step s7
Nov 05, 2022 12:32:41 PM
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding Window.Into()2/Window.Assign as step s8
Nov 05, 2022 12:32:41 PM
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding CoGroupByKey/MakeUnionTable0 as step s9
Nov 05, 2022 12:32:41 PM
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding CoGroupByKey/MakeUnionTable1 as step s10
Nov 05, 2022 12:32:41 PM
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding CoGroupByKey/Flatten as step s11
Nov 05, 2022 12:32:41 PM
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding CoGroupByKey/GBK as step s12
Nov 05, 2022 12:32:41 PM
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding CoGroupByKey/ConstructCoGbkResultFn as step s13
Nov 05, 2022 12:32:41 PM
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding Ungroup and reiterate as step s14
Nov 05, 2022 12:32:41 PM
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding Collect total bytes as step s15
Nov 05, 2022 12:32:41 PM
org.apache.beam.runners.dataflow.DataflowPipelineTranslator$Translator addStep
INFO: Adding Collect end time metrics as step s16
Nov 05, 2022 12:32:41 PM org.apache.beam.runners.dataflow.DataflowRunner run
INFO: Dataflow SDK version: 2.44.0-SNAPSHOT
Nov 05, 2022 12:32:42 PM org.apache.beam.runners.dataflow.DataflowRunner run
INFO: To access the Dataflow monitoring console, please navigate to
https://console.cloud.google.com/dataflow/jobs/us-central1/2022-11-05_05_32_41-12892909955506723349?project=apache-beam-testing
Nov 05, 2022 12:32:42 PM org.apache.beam.runners.dataflow.DataflowRunner run
INFO: Submitted job: 2022-11-05_05_32_41-12892909955506723349
Nov 05, 2022 12:32:42 PM org.apache.beam.runners.dataflow.DataflowRunner run
INFO: To cancel the job using the 'gcloud' tool, run:
> gcloud dataflow jobs --project=apache-beam-testing cancel
> --region=us-central1 2022-11-05_05_32_41-12892909955506723349
Nov 05, 2022 12:32:48 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
WARNING: 2022-11-05T12:32:46.925Z: 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:
load0tests0java170dataflow0v20streaming0cogbk01-jenkins-11-hvxu. 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
Nov 05, 2022 12:32:54 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-05T12:32:54.006Z: Worker configuration: e2-standard-2 in
us-central1-b.
Nov 05, 2022 12:32:57 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-05T12:32:55.247Z: Expanding SplittableParDo operations into
optimizable parts.
Nov 05, 2022 12:32:57 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-05T12:32:55.286Z: Expanding CollectionToSingleton operations into
optimizable parts.
Nov 05, 2022 12:32:57 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-05T12:32:55.365Z: Expanding CoGroupByKey operations into
optimizable parts.
Nov 05, 2022 12:32:57 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-05T12:32:55.443Z: Expanding SplittableProcessKeyed operations
into optimizable parts.
Nov 05, 2022 12:32:57 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-05T12:32:55.479Z: Expanding GroupByKey operations into streaming
Read/Write steps
Nov 05, 2022 12:32:57 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-05T12:32:55.543Z: Lifting ValueCombiningMappingFns into
MergeBucketsMappingFns
Nov 05, 2022 12:32:57 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-05T12:32:55.658Z: Fusing adjacent ParDo, Read, Write, and Flatten
operations
Nov 05, 2022 12:32:57 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-05T12:32:55.693Z: Unzipping flatten CoGroupByKey-Flatten for
input CoGroupByKey-MakeUnionTable0-ParMultiDo-ConstructUnionTable-.output
Nov 05, 2022 12:32:57 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-05T12:32:55.726Z: Fusing unzipped copy of
CoGroupByKey/GBK/WriteStream, through flatten CoGroupByKey/Flatten, into
producer CoGroupByKey/MakeUnionTable0/ParMultiDo(ConstructUnionTable)
Nov 05, 2022 12:32:57 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-05T12:32:55.761Z: Fusing consumer CoGroupByKey/GBK/WriteStream
into CoGroupByKey/MakeUnionTable1/ParMultiDo(ConstructUnionTable)
Nov 05, 2022 12:32:57 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-05T12:32:55.797Z: Fusing consumer Read
input/ParDo(OutputSingleSource)/ParMultiDo(OutputSingleSource) into Read
input/Impulse
Nov 05, 2022 12:32:57 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-05T12:32:55.832Z: Fusing consumer
Read-input-ParDo-UnboundedSourceAsSDFWrapper--ParMultiDo-UnboundedSourceAsSDFWrapper-/PairWithRestriction
into Read input/ParDo(OutputSingleSource)/ParMultiDo(OutputSingleSource)
Nov 05, 2022 12:32:57 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-05T12:32:55.864Z: Fusing consumer
Read-input-ParDo-UnboundedSourceAsSDFWrapper--ParMultiDo-UnboundedSourceAsSDFWrapper-/SplitWithSizing
into
Read-input-ParDo-UnboundedSourceAsSDFWrapper--ParMultiDo-UnboundedSourceAsSDFWrapper-/PairWithRestriction
Nov 05, 2022 12:32:57 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-05T12:32:55.887Z: Fusing consumer Read
input/ParDo(StripIds)/ParMultiDo(StripIds) into
Read-input-ParDo-UnboundedSourceAsSDFWrapper--ParMultiDo-UnboundedSourceAsSDFWrapper-/ProcessElementAndRestrictionWithSizing
Nov 05, 2022 12:32:57 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-05T12:32:55.909Z: Fusing consumer Collect start time metrics
(input)/ParMultiDo(TimeMonitor) into Read
input/ParDo(StripIds)/ParMultiDo(StripIds)
Nov 05, 2022 12:32:57 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-05T12:32:55.941Z: Fusing consumer Window.Into()/Window.Assign
into Collect start time metrics (input)/ParMultiDo(TimeMonitor)
Nov 05, 2022 12:32:57 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-05T12:32:55.980Z: Fusing consumer
CoGroupByKey/MakeUnionTable0/ParMultiDo(ConstructUnionTable) into
Window.Into()/Window.Assign
Nov 05, 2022 12:32:57 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-05T12:32:56.005Z: Fusing consumer Read
co-input/ParDo(OutputSingleSource)/ParMultiDo(OutputSingleSource) into Read
co-input/Impulse
Nov 05, 2022 12:32:57 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-05T12:32:56.040Z: Fusing consumer
Read-co-input-ParDo-UnboundedSourceAsSDFWrapper--ParMultiDo-UnboundedSourceAsSDFWrapper-/PairWithRestriction
into Read co-input/ParDo(OutputSingleSource)/ParMultiDo(OutputSingleSource)
Nov 05, 2022 12:32:57 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-05T12:32:56.074Z: Fusing consumer
Read-co-input-ParDo-UnboundedSourceAsSDFWrapper--ParMultiDo-UnboundedSourceAsSDFWrapper-/SplitWithSizing
into
Read-co-input-ParDo-UnboundedSourceAsSDFWrapper--ParMultiDo-UnboundedSourceAsSDFWrapper-/PairWithRestriction
Nov 05, 2022 12:32:57 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-05T12:32:56.104Z: Fusing consumer Read
co-input/ParDo(StripIds)/ParMultiDo(StripIds) into
Read-co-input-ParDo-UnboundedSourceAsSDFWrapper--ParMultiDo-UnboundedSourceAsSDFWrapper-/ProcessElementAndRestrictionWithSizing
Nov 05, 2022 12:32:57 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-05T12:32:56.139Z: Fusing consumer Collect start time metrics
(co-input)/ParMultiDo(TimeMonitor) into Read
co-input/ParDo(StripIds)/ParMultiDo(StripIds)
Nov 05, 2022 12:32:57 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-05T12:32:56.170Z: Fusing consumer Window.Into()2/Window.Assign
into Collect start time metrics (co-input)/ParMultiDo(TimeMonitor)
Nov 05, 2022 12:32:57 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-05T12:32:56.205Z: Fusing consumer
CoGroupByKey/MakeUnionTable1/ParMultiDo(ConstructUnionTable) into
Window.Into()2/Window.Assign
Nov 05, 2022 12:32:57 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-05T12:32:56.239Z: Fusing consumer CoGroupByKey/GBK/MergeBuckets
into CoGroupByKey/GBK/ReadStream
Nov 05, 2022 12:32:57 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-05T12:32:56.273Z: Fusing consumer
CoGroupByKey/ConstructCoGbkResultFn/ParMultiDo(ConstructCoGbkResult) into
CoGroupByKey/GBK/MergeBuckets
Nov 05, 2022 12:32:57 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-05T12:32:56.307Z: Fusing consumer Ungroup and
reiterate/ParMultiDo(UngroupAndReiterate) into
CoGroupByKey/ConstructCoGbkResultFn/ParMultiDo(ConstructCoGbkResult)
Nov 05, 2022 12:32:57 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-05T12:32:56.344Z: Fusing consumer Collect total
bytes/ParMultiDo(ByteMonitor) into Ungroup and
reiterate/ParMultiDo(UngroupAndReiterate)
Nov 05, 2022 12:32:57 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-05T12:32:56.376Z: Fusing consumer Collect end time
metrics/ParMultiDo(TimeMonitor) into Collect total bytes/ParMultiDo(ByteMonitor)
Nov 05, 2022 12:32:57 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-05T12:32:56.556Z: Running job using Streaming Engine
Nov 05, 2022 12:32:57 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-05T12:32:56.796Z: Starting 5 ****s in us-central1-b...
Nov 05, 2022 12:33:13 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-05T12:33:12.658Z: Your project already contains 100
Dataflow-created metric descriptors, so new user metrics of the form
custom.googleapis.com/* will not be created. However, all user metrics are also
available in the metric dataflow.googleapis.com/job/user_counter. If you rely
on the custom metrics, you can delete old / unused metric descriptors. See
https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.list
and
https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.delete
Nov 05, 2022 12:35:10 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-05T12:35:09.393Z: Worker configuration: e2-standard-2 in
us-central1-b.
Nov 05, 2022 12:35:13 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-05T12:35:13.266Z: Autoscaling: Raised the number of ****s to 5 so
that the pipeline can catch up with its backlog and keep up with its input rate.
Nov 05, 2022 12:35:16 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-05T12:35:14.792Z: 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
Nov 05, 2022 12:35:33 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-05T12:35:33.230Z: Workers have started successfully.
Nov 05, 2022 1:14:34 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-05T13:14:32.380Z: Cleaning up.
Nov 05, 2022 1:14:34 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-05T13:14:32.512Z: Stopping **** pool...
Nov 05, 2022 1:14:34 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-05T13:14:32.574Z: Stopping **** pool...
Nov 05, 2022 1:17:02 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-05T13:17:02.490Z: Autoscaling: Reduced the number of ****s to 0
based on low average **** CPU utilization, and the pipeline having sufficiently
low backlog and keeping up with input rate.
Nov 05, 2022 1:17:04 PM
org.apache.beam.runners.dataflow.util.MonitoringUtil$LoggingHandler process
INFO: 2022-11-05T13:17:02.579Z: Worker pool stopped.
Nov 05, 2022 1:17:10 PM org.apache.beam.runners.dataflow.DataflowPipelineJob
logTerminalState
INFO: Job 2022-11-05_05_32_41-12892909955506723349 finished with status DONE.
Load test results for test (ID): bd3538df-82fe-4f67-8ff8-de5a264d8c43 and
timestamp: 2022-11-05T12:32:35.802000000Z:
Metric: Value:
dataflow_v2_java17_runtime_sec 2141.831
dataflow_v2_java17_total_bytes_count 2.199996E9
> Task :runners:google-cloud-dataflow-java:cleanUpDockerJavaImages
Untagged: us.gcr.io/apache-beam-testing/java-postcommit-it/java:20221105123045
Untagged:
us.gcr.io/apache-beam-testing/java-postcommit-it/java@sha256:1a91fe8f364996ae80b2b6499f3289b4f5ad86045d21edc141d6f8a0f921940d
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:20221105123045]
- referencing digest:
[us.gcr.io/apache-beam-testing/java-postcommit-it/java@sha256:1a91fe8f364996ae80b2b6499f3289b4f5ad86045d21edc141d6f8a0f921940d]
Deleted [[us.gcr.io/apache-beam-testing/java-postcommit-it/java:20221105123045]
(referencing
[us.gcr.io/apache-beam-testing/java-postcommit-it/java@sha256:1a91fe8f364996ae80b2b6499f3289b4f5ad86045d21edc141d6f8a0f921940d])].
Removing untagged image
us.gcr.io/apache-beam-testing/java-postcommit-it/java@sha256:2f3b39277944faadd94fb0ad509b47d4f04ab92b69fbf7c689e828d079076661
Digests:
-
us.gcr.io/apache-beam-testing/java-postcommit-it/java@sha256:2f3b39277944faadd94fb0ad509b47d4f04ab92b69fbf7c689e828d079076661
ERROR: (gcloud.container.images.delete) Not found: response:
{'docker-distribution-api-version': 'registry/2.0', 'content-type':
'application/json', 'content-encoding': 'gzip', 'date': 'Sat, 05 Nov 2022
13:17:15 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:
'sha256:2f3b39277944faadd94fb0ad509b47d4f04ab92b69fbf7c689e828d079076661': 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: 304
* 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 46m 46s
113 actionable tasks: 75 executed, 34 from cache, 4 up-to-date
Publishing build scan...
https://gradle.com/s/npn325u6fbzzg
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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