See
<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/810/display/redirect?page=changes>
Changes:
[noreply] Bump cloud.google.com/go/bigtable from 1.17.0 to 1.18.0 in /sdks
[noreply] disable (#24121)
[noreply] Implement PubsubRowToMessage transform (#23897)
[noreply] upgrade testcontainer dependency (#24123)
[noreply] More cleanup containers (#24105)
[noreply] Bump github.com/aws/aws-sdk-go-v2/service/s3 in /sdks (#24112)
[noreply] Bump google.golang.org/api from 0.102.0 to 0.103.0 in /sdks (#24049)
[noreply] Update staging of Python wheels (#24114)
[noreply] Add a ValidatesContainer integration test for use_sibling_sdk_workers
[noreply] Fix checkArgument format string in TestStream (#24134)
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Building wheels for collected packages: apache-beam
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Created wheel for apache-beam:
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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,
pyyaml, python-dateutil, pymysql, pymongo, pyhamcrest, pydot, pycparser,
pyasn1-modules, pyarrow, psycopg2-binary, proto-plus, pbr, overrides, orjson,
objsize, oauthlib, joblib, jmespath, isodate, idna, httplib2, greenlet,
googleapis-common-protos, google-crc32c, fasteners, 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, requests-oauthlib, requests_mock,
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google-cloud-bigtable, google-cloud-bigquery-storage, azure-storage-blob,
google-cloud-pubsublite, google-cloud-bigquery
Successfully installed apache-beam-2.44.0.dev0 attrs-22.1.0 azure-core-1.26.1
azure-storage-blob-12.14.1 boto3-1.26.8 botocore-1.29.8 cachetools-4.2.4
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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
dependencies to be installed in SDK **** container, consider using the SDK
container image pre-building workflow to avoid repetitive installations. Learn
more on
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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/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: '20221112150747919295-7151'
createTime: '2022-11-12T15:07:48.915664Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2022-11-12_07_07_48-480808163518906475'
location: 'us-central1'
name: 'load-tests-python-dataflow-streaming-combine-1-1112150203'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2022-11-12T15:07:48.915664Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id:
[2022-11-12_07_07_48-480808163518906475]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job:
2022-11-12_07_07_48-480808163518906475
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow
monitoring console, please navigate to
https://console.cloud.google.com/dataflow/jobs/us-central1/2022-11-12_07_07_48-480808163518906475?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job
2022-11-12_07_07_48-480808163518906475 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-12T15:07:54.103Z:
JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-a.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-12T15:07:55.595Z:
JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable
parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-12T15:07:55.633Z:
JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into
optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-12T15:07:55.694Z:
JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-12T15:07:55.754Z:
JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into
optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-12T15:07:55.783Z:
JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write
steps
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-12T15:07:55.843Z:
JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into
MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-12T15:07:55.901Z:
JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-12T15:07:55.936Z:
JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-12T15:07:55.968Z:
JOB_MESSAGE_DETAILED: Fusing consumer Read synthetic/Map(<lambda at
iobase.py:908>) into Read synthetic/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-12T15:07:55.990Z:
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:2022-11-12T15:07:56.011Z:
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:2022-11-12T15:07:56.035Z:
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:2022-11-12T15:07:56.057Z:
JOB_MESSAGE_DETAILED: Fusing consumer Combine with Top 0/KeyWithVoid into
Measure time: Start
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-12T15:07:56.091Z:
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:2022-11-12T15:07:56.125Z:
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:2022-11-12T15:07:56.162Z:
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:2022-11-12T15:07:56.186Z:
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:2022-11-12T15:07:56.219Z:
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:2022-11-12T15:07:56.259Z:
JOB_MESSAGE_DETAILED: Fusing consumer Consume 0 into Combine with Top 0/UnKey
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-12T15:07:56.295Z:
JOB_MESSAGE_DETAILED: Fusing consumer Measure time: End 0 into Consume 0
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-12T15:07:56.403Z:
JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-12T15:07:56.438Z:
JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-12T15:07:56.459Z:
JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-12T15:07:56.482Z:
JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-12T15:07:56.503Z:
JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-12T15:07:57.572Z:
JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-12T15:07:57.608Z:
JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-a...
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-12T15:07:57.648Z:
JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:Job
2022-11-12_07_07_48-480808163518906475 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-12T15:08:28.407Z:
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:2022-11-12T15:08:40.149Z:
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:2022-11-12T15:09:09.253Z:
JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-12T15:51:53.481Z:
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:2022-11-12T15:53:58.132Z:
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:2022-11-12T15:59:59.659Z:
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:2022-11-12T16:24:10.175Z:
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:2022-11-12T16:25:01.743Z:
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:2022-11-12T16:43:05.747Z:
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:2022-11-12T17:02:08.759Z:
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:2022-11-12T17:26:09.935Z:
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:2022-11-12T17:57:12.310Z:
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:2022-11-12T18:29:13.646Z:
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:2022-11-12T19:01:14.918Z:
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:2022-11-12T19:33:17.272Z:
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
2022-11-12_07_07_48-480808163518906475 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-12T20:00:52.397Z:
JOB_MESSAGE_BASIC: Cancel request is committed for workflow job:
2022-11-12_07_07_48-480808163518906475.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-12T20:00:52.438Z:
JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-12T20:00:52.480Z:
JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-12T20:00:52.503Z:
JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-12T20:00:52.525Z:
JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-12T20:00:52.547Z:
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 151, in run
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 1584, 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>/2022-11-12_07_07_48-480808163518906475?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
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date
Publishing build scan...
https://gradle.com/s/qjypb64gnqif4
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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