See
<https://ci-beam.apache.org/job/beam_LoadTests_Python_GBK_reiterate_Dataflow_Streaming/826/display/redirect?page=changes>
Changes:
[noreply] Update nbconvert requirement in /sdks/python
[bulatkazan] [Website] center the main content #24521
[Moritz Mack] [Spark Dataset runner] Broadcast pipeline options
[noreply] [Spark runner] Support running (VR) tests with Java 17 (closes #24400)
[noreply] Replaced deprecated finalize with DoFn Teardown (#24516)
[noreply] Bump cloud.google.com/go/storage from 1.28.0 to 1.28.1 in /sdks
(#24517)
[noreply] add clarifier to error message (#24449)
[noreply] Batch rename requests in fileio.WriteToFiles (#24341)
[noreply] Bump golang.org/x/text from 0.4.0 to 0.5.0 in /sdks (#24520)
[noreply] Support for JsonSchema in Kafka Read Schema Transform (#24272)
[noreply] Run go fmt over full go directory with go 1.19 (#24525)
[noreply] Cloudbuild+manualsetup+playground (#24144)
[noreply] Bump golang.org/x/sys from 0.2.0 to 0.3.0 in /sdks (#24519)
[noreply] Bump cloud.google.com/go/bigtable from 1.18.0 to 1.18.1 in /sdks
[noreply] Update from interface{} -> any for core packages (#24505)
[noreply] Implement FileWriteSchemaTransformConfiguration (#24479)
[noreply] Bump cloud.google.com/go/pubsub from 1.27.0 to 1.27.1 in /sdks
(#24518)
[noreply] [Playground] Healthcheck was added (#24227)
[noreply] Update dataflow container version for Pandas upgrade (#24532)
[bulatkazan] [Website] update copy icon positioning #24426
[noreply] Update google-cloud-bigquery-storage requirement from <2.14,>=2.6.3 to
[noreply] Bump cloud.google.com/go/pubsub from 1.27.1 to 1.28.0 in /sdks
(#24534)
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Successfully built apache-beam
Installing collected packages: sortedcontainers, pytz, pyasn1, parameterized,
iniconfig, docopt, crcmod, zstandard, wrapt, websocket-client, urllib3,
typing-extensions, tomli, threadpoolctl, tenacity, sqlparse, scipy, rsa, regex,
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overrides, orjson, objsize, oauthlib, joblib, jmespath, isodate, idna,
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requests-oauthlib, requests_mock, pytest, hdfs, grpc-google-iam-v1,
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google-cloud-core, boto3, apache-beam, pytest-xdist, msal, google-cloud-vision,
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google-cloud-bigquery-storage, azure-storage-blob, msal-extensions,
google-cloud-pubsublite, google-cloud-bigquery, azure-identity
Successfully installed PyJWT-2.6.0 apache-beam-2.45.0.dev0 attrs-22.1.0
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tomli-2.0.1 typing-extensions-4.4.0 urllib3-1.26.13 websocket-client-1.4.2
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> Task :sdks:python:apache_beam:testing:load_tests:run
INFO:apache_beam.runners.portability.stager:Copying Beam SDK
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to staging location.
INFO:apache_beam.runners.dataflow.dataflow_runner:Pipeline has additional
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INFO:root:Default Python SDK image for environment is
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INFO:root:Using provided Python SDK container image:
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INFO:root:Python SDK container image set to
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environment
INFO:apache_beam.runners.dataflow.internal.apiclient:Defaulting to the
temp_location as staging_location: gs://temp-storage-for-perf-tests/loadtests
INFO:apache_beam.internal.gcp.auth:Setting socket default timeout to 60 seconds.
INFO:apache_beam.internal.gcp.auth:socket default timeout is 60.0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to
gs://temp-storage-for-perf-tests/loadtests/load-tests-python-dataflow-streaming-gbk-6-1206125433.1670337463.456105/dataflow_python_sdk.tar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to
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INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to
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INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to
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INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20221206143743457168-5015'
createTime: '2022-12-06T14:37:44.511369Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2022-12-06_06_37_44-1401626558156276076'
location: 'us-central1'
name: 'load-tests-python-dataflow-streaming-gbk-6-1206125433'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2022-12-06T14:37:44.511369Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id:
[2022-12-06_06_37_44-1401626558156276076]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job:
2022-12-06_06_37_44-1401626558156276076
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow
monitoring console, please navigate to
https://console.cloud.google.com/dataflow/jobs/us-central1/2022-12-06_06_37_44-1401626558156276076?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job
2022-12-06_06_37_44-1401626558156276076 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T14:37:50.862Z:
JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T14:37:51.847Z:
JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable
parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T14:37:51.875Z:
JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into
optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T14:37:51.948Z:
JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T14:37:51.985Z:
JOB_MESSAGE_DEBUG: Combiner lifting skipped for step GroupByKey 0: GroupByKey
not followed by a combiner.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T14:37:52.022Z:
JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into
optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T14:37:52.052Z:
JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write
steps
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T14:37:52.119Z:
JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into
MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T14:37:52.176Z:
JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T14:37:52.235Z:
JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T14:37:52.270Z:
JOB_MESSAGE_DETAILED: Fusing consumer Read/Map(<lambda at iobase.py:908>) into
Read/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T14:37:52.304Z:
JOB_MESSAGE_DETAILED: Fusing consumer
ref_AppliedPTransform_Read-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction
into Read/Map(<lambda at iobase.py:908>)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T14:37:52.329Z:
JOB_MESSAGE_DETAILED: Fusing consumer
ref_AppliedPTransform_Read-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/SplitWithSizing
into
ref_AppliedPTransform_Read-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T14:37:52.352Z:
JOB_MESSAGE_DETAILED: Fusing consumer Measure time: Start into
ref_AppliedPTransform_Read-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/ProcessElementAndRestrictionWithSizing
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T14:37:52.383Z:
JOB_MESSAGE_DETAILED: Fusing consumer Assign timestamps into Measure time: Start
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T14:37:52.406Z:
JOB_MESSAGE_DETAILED: Fusing consumer GroupByKey 0/WriteStream into Assign
timestamps
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T14:37:52.428Z:
JOB_MESSAGE_DETAILED: Fusing consumer GroupByKey 0/MergeBuckets into GroupByKey
0/ReadStream
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T14:37:52.449Z:
JOB_MESSAGE_DETAILED: Fusing consumer Ungroup 0 into GroupByKey 0/MergeBuckets
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T14:37:52.481Z:
JOB_MESSAGE_DETAILED: Fusing consumer Measure latency 0 into Ungroup 0
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T14:37:52.503Z:
JOB_MESSAGE_DETAILED: Fusing consumer Measure time: End 0 into Measure latency 0
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T14:37:52.621Z:
JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T14:37:52.650Z:
JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T14:37:52.681Z:
JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T14:37:52.715Z:
JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T14:37:52.748Z:
JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T14:37:53.821Z:
JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T14:37:53.846Z:
JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T14:37:53.897Z:
JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:Job
2022-12-06_06_37_44-1401626558156276076 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T14:38:08.272Z:
JOB_MESSAGE_BASIC: 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
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T14:38:35.624Z:
JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 4 so that the
pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T14:38:35.654Z:
JOB_MESSAGE_DETAILED: Autoscaling: Resized **** pool to 4, though goal was 5.
This could be a quota issue.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T14:38:45.301Z:
JOB_MESSAGE_DETAILED: 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.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T14:39:13.419Z:
JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T14:39:23.766Z:
JOB_MESSAGE_DETAILED: All ****s have finished the startup processes and began
to receive work requests.
Terminated
The message received from the daemon indicates that the daemon has disappeared.
Build request sent: Build{id=9a9131ab-c34c-4054-9194-9519b427246d,
currentDir=<https://ci-beam.apache.org/job/beam_LoadTests_Python_GBK_reiterate_Dataflow_Streaming/ws/src}>
Attempting to read last messages from the daemon log...
Daemon pid: 1349319
log file: /home/jenkins/.gradle/daemon/7.5.1/daemon-1349319.out.log
----- Last 20 lines from daemon log file - daemon-1349319.out.log -----
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T14:37:52.449Z:
JOB_MESSAGE_DETAILED: Fusing consumer Ungroup 0 into GroupByKey 0/MergeBuckets
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T14:37:52.481Z:
JOB_MESSAGE_DETAILED: Fusing consumer Measure latency 0 into Ungroup 0
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T14:37:52.503Z:
JOB_MESSAGE_DETAILED: Fusing consumer Measure time: End 0 into Measure latency 0
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T14:37:52.621Z:
JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T14:37:52.650Z:
JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T14:37:52.681Z:
JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T14:37:52.715Z:
JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T14:37:52.748Z:
JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T14:37:53.821Z:
JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T14:37:53.846Z:
JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T14:37:53.897Z:
JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:Job
2022-12-06_06_37_44-1401626558156276076 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T14:38:08.272Z:
JOB_MESSAGE_BASIC: 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
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T14:38:35.624Z:
JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 4 so that the
pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T14:38:35.654Z:
JOB_MESSAGE_DETAILED: Autoscaling: Resized **** pool to 4, though goal was 5.
This could be a quota issue.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T14:38:45.301Z:
JOB_MESSAGE_DETAILED: 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.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T14:39:13.419Z:
JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T14:39:23.766Z:
JOB_MESSAGE_DETAILED: All ****s have finished the startup processes and began
to receive work requests.
Terminated
Daemon vm is shutting down... The daemon has exited normally or was terminated
in response to a user interrupt.
----- End of the daemon log -----
FAILURE: Build failed with an exception.
* What went wrong:
Gradle build daemon disappeared unexpectedly (it may have been killed or may
have crashed)
* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
> Run with --scan to get full insights.
* Get more help at https://help.gradle.org
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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