See
<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/834/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] 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)
[noreply] Bump golang.org/x/net from 0.2.0 to 0.3.0 in /sdks (#24544)
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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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fastavro, execnet, exceptiongroup, dill, cloudpickle, charset-normalizer,
certifi, cachetools, attrs, sqlalchemy, scikit-learn, requests, pandas,
oauth2client, mock, hypothesis, grpcio-status, google-resumable-media,
google-auth, freezegun, deprecation, cffi, botocore, s3transfer,
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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
azure-core-1.26.1 azure-identity-1.12.0 azure-storage-blob-12.14.1
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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: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/smoketests
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
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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:Starting GCS upload to
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INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to
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in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20221206150751682498-9397'
createTime: '2022-12-06T15:07:52.696086Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2022-12-06_07_07_52-4202751962467523893'
location: 'us-central1'
name: 'load-tests-python-dataflow-streaming-combine-1-1206150211'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2022-12-06T15:07:52.696086Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id:
[2022-12-06_07_07_52-4202751962467523893]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job:
2022-12-06_07_07_52-4202751962467523893
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_07_07_52-4202751962467523893?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job
2022-12-06_07_07_52-4202751962467523893 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T15:07:58.050Z:
JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T15:07:59.519Z:
JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable
parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T15:07:59.554Z:
JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into
optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T15:07:59.627Z:
JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T15:07:59.695Z:
JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into
optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T15:07:59.724Z:
JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write
steps
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T15:07:59.794Z:
JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into
MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T15:07:59.846Z:
JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T15:07:59.892Z:
JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T15:07:59.915Z:
JOB_MESSAGE_DETAILED: Fusing consumer Read synthetic/Map(<lambda at
iobase.py:908>) into Read synthetic/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T15:07:59.941Z:
JOB_MESSAGE_DETAILED: Fusing consumer
ref_AppliedPTransform_Read-synthetic-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction
into Read synthetic/Map(<lambda at iobase.py:908>)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T15:07:59.974Z:
JOB_MESSAGE_DETAILED: Fusing consumer
ref_AppliedPTransform_Read-synthetic-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/SplitWithSizing
into
ref_AppliedPTransform_Read-synthetic-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T15:08:00Z:
JOB_MESSAGE_DETAILED: Fusing consumer Measure time: Start into
ref_AppliedPTransform_Read-synthetic-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/ProcessElementAndRestrictionWithSizing
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T15:08:00.041Z:
JOB_MESSAGE_DETAILED: Fusing consumer Combine with Top 0/KeyWithVoid into
Measure time: Start
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T15:08:00.070Z:
JOB_MESSAGE_DETAILED: Fusing consumer Combine with Top
0/CombinePerKey/Combine/ConvertToAccumulators into Combine with Top
0/KeyWithVoid
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T15:08:00.095Z:
JOB_MESSAGE_DETAILED: Fusing consumer Combine with Top
0/CombinePerKey/GroupByKey/WriteStream into Combine with Top
0/CombinePerKey/Combine/ConvertToAccumulators
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T15:08:00.127Z:
JOB_MESSAGE_DETAILED: Fusing consumer Combine with Top 0/CombinePerKey/Combine
into Combine with Top 0/CombinePerKey/GroupByKey/ReadStream
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T15:08:00.153Z:
JOB_MESSAGE_DETAILED: Fusing consumer Combine with Top
0/CombinePerKey/Combine/Extract into Combine with Top 0/CombinePerKey/Combine
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T15:08:00.191Z:
JOB_MESSAGE_DETAILED: Fusing consumer Combine with Top 0/UnKey into Combine
with Top 0/CombinePerKey/Combine/Extract
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T15:08:00.229Z:
JOB_MESSAGE_DETAILED: Fusing consumer Consume 0 into Combine with Top 0/UnKey
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T15:08:00.264Z:
JOB_MESSAGE_DETAILED: Fusing consumer Measure time: End 0 into Consume 0
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T15:08:00.362Z:
JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T15:08:00.411Z:
JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T15:08:00.452Z:
JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T15:08:00.491Z:
JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T15:08:00.516Z:
JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T15:08:00.620Z:
JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T15:08:00.643Z:
JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T15:08:00.683Z:
JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:Job
2022-12-06_07_07_52-4202751962467523893 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T15:08:32.586Z:
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:2022-12-06T15:08:35.893Z:
JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 3 so that the
pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T15:08:35.924Z:
JOB_MESSAGE_DETAILED: Autoscaling: Resized **** pool to 3, though goal was 5.
This could be a quota issue.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T15:08:45.367Z:
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:2022-12-06T15:09:13.876Z:
JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T15:09:24.087Z:
JOB_MESSAGE_DETAILED: All ****s have finished the startup processes and began
to receive work requests.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T15:50:55.452Z:
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:2022-12-06T15:52:04.850Z:
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:2022-12-06T15:57:04.797Z:
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:2022-12-06T16:25:06.927Z:
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:2022-12-06T16:26:08.027Z:
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:2022-12-06T16:58:09.510Z:
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:2022-12-06T17:00:11.158Z:
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:2022-12-06T17:07:15.498Z:
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:2022-12-06T17:34:16.854Z:
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:2022-12-06T17:38:07.841Z:
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:2022-12-06T18:09:40.033Z:
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:2022-12-06T18:10:21.954Z:
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:2022-12-06T18:26:23.718Z:
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:2022-12-06T18:45:46.147Z:
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:2022-12-06T18:47:31.282Z:
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:2022-12-06T19:20:01.830Z:
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:2022-12-06T19:56:31.982Z:
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:Job
2022-12-06_07_07_52-4202751962467523893 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T20:00:42.414Z:
JOB_MESSAGE_BASIC: Cancel request is committed for workflow job:
2022-12-06_07_07_52-4202751962467523893.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T20:00:42.451Z:
JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T20:00:42.502Z:
JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T20:00:42.531Z:
JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T20:00:42.553Z:
JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T20:00:42.575Z:
JOB_MESSAGE_BASIC: Stopping **** pool...
Traceback (most recent call last):
File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
"__main__", mod_spec)
File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
exec(code, run_globals)
File
"<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/combine_test.py";,>
line 129, in <module>
CombineTest().run()
File
"<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py";,>
line 152, in run
state = self.result.wait_until_finish(duration=self.timeout_ms)
File
"<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/apache_beam/runners/dataflow/dataflow_runner.py";,>
line 1588, in wait_until_finish
'{}'.format(consoleUrl))
AssertionError: Job did not reach to a terminal state after waiting
indefinitely. Console URL:
https://console.cloud.google.com/dataflow/jobs/<RegionId>/2022-12-06_07_07_52-4202751962467523893?project=<ProjectId>
> Task :sdks:python:apache_beam:testing:load_tests:run FAILED
FAILURE: Build failed with an exception.
* Where:
Build file
'<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'>
line: 71
* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred
* 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
BUILD FAILED in 4h 55m 7s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date
Publishing build scan...
https://gradle.com/s/yu3ejtfulnmxm
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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