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Posted to builds@beam.apache.org by Apache Jenkins Server <je...@builds.apache.org> on 2023/07/07 20:01:55 UTC
Build failed in Jenkins: beam_LoadTests_Python_Combine_Dataflow_Streaming #1048
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/1048/display/redirect>
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Building wheels for collected packages: apache-beam
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Successfully built apache-beam
Installing collected packages: sortedcontainers, pytz, docopt, crcmod, zstandard, wrapt, websocket-client, urllib3, typing-extensions, threadpoolctl, tenacity, sqlparse, sniffio, six, shapely, scipy, regex, pyyaml, pyparsing, pymysql, PyJWT, pyhamcrest, pycparser, pyasn1, pyarrow, psycopg2-binary, proto-plus, portalocker, parameterized, overrides, orjson, objsize, mock, joblib, jmespath, iniconfig, idna, greenlet, googleapis-common-protos, google-crc32c, fasteners, fastavro, execnet, exceptiongroup, dill, deprecation, cloudpickle, charset-normalizer, certifi, attrs, sqlalchemy, scikit-learn, rsa, requests, python-dateutil, pytest, pydot, pyasn1-modules, isodate, hypothesis, httplib2, grpcio-status, google-resumable-media, dnspython, cffi, requests_mock, pytest-xdist, pytest-timeout, pymongo, pandas, oauth2client, hdfs, grpc-google-iam-v1, google-auth, freezegun, docker, cryptography, botocore, azure-core, testcontainers, s3transfer, google-auth-httplib2, google-apitools, google-api-core, azure-storage-blob, apache-beam, msal, google-cloud-core, boto3, msal-extensions, google-cloud-vision, google-cloud-videointelligence, google-cloud-storage, google-cloud-spanner, google-cloud-resource-manager, google-cloud-recommendations-ai, google-cloud-pubsub, google-cloud-language, google-cloud-dlp, google-cloud-datastore, google-cloud-bigtable, google-cloud-bigquery-storage, google-cloud-bigquery, google-cloud-pubsublite, google-cloud-aiplatform, azure-identity
Successfully installed PyJWT-2.7.0 apache-beam-2.50.0.dev0 attrs-23.1.0 azure-core-1.27.1 azure-identity-1.14.0b1 azure-storage-blob-12.17.0b1 boto3-1.28.0 botocore-1.31.0 certifi-2023.5.7 cffi-1.15.1 charset-normalizer-3.1.0 cloudpickle-2.2.1 crcmod-1.7 cryptography-41.0.1 deprecation-2.1.0 dill-0.3.1.1 dnspython-2.4.0rc1 docker-6.1.3 docopt-0.6.2 exceptiongroup-1.1.2 execnet-2.0.0 fastavro-1.8.0 fasteners-0.18 freezegun-1.2.2 google-api-core-2.12.0.dev0 google-apitools-0.5.31 google-auth-2.22.0rc1 google-auth-httplib2-0.1.0 google-cloud-aiplatform-1.27.1 google-cloud-bigquery-3.11.3 google-cloud-bigquery-storage-2.22.0 google-cloud-bigtable-2.19.0 google-cloud-core-2.3.3 google-cloud-datastore-2.16.1 google-cloud-dlp-3.12.2 google-cloud-language-2.10.1 google-cloud-pubsub-2.17.1 google-cloud-pubsublite-1.8.3 google-cloud-recommendations-ai-0.10.4 google-cloud-resource-manager-1.10.2 google-cloud-spanner-3.36.0 google-cloud-storage-2.10.0 google-cloud-videointelligence-2.11.3 google-cloud-vision-3.4.4 google-crc32c-1.5.0 google-resumable-media-2.5.0 googleapis-common-protos-1.59.1 greenlet-3.0.0a1 grpc-google-iam-v1-0.12.6 grpcio-status-1.56.0 hdfs-2.7.0 httplib2-0.22.0 hypothesis-6.80.1 idna-3.4 iniconfig-2.0.0 isodate-0.6.1 jmespath-1.0.1 joblib-1.3.1 mock-5.0.2 msal-1.22.0 msal-extensions-1.0.0 oauth2client-4.1.3 objsize-0.6.1 orjson-3.9.1 overrides-6.5.0 pandas-1.5.3 parameterized-0.9.0 portalocker-2.7.0 proto-plus-1.22.3 psycopg2-binary-2.9.6 pyarrow-11.0.0 pyasn1-0.5.0 pyasn1-modules-0.3.0 pycparser-2.21 pydot-1.4.2 pyhamcrest-2.0.4 pymongo-4.4.0 pymysql-1.1.0 pyparsing-3.1.0 pytest-7.4.0 pytest-timeout-2.1.0 pytest-xdist-3.3.1 python-dateutil-2.8.2 pytz-2023.3 pyyaml-6.0 regex-2023.6.3 requests-2.31.0 requests_mock-1.11.0 rsa-4.9 s3transfer-0.6.1 scikit-learn-1.3.0 scipy-1.10.1 shapely-1.8.5.post1 six-1.16.0 sniffio-1.3.0 sortedcontainers-2.4.0 sqlalchemy-1.4.49 sqlparse-0.4.4 tenacity-8.2.2 testcontainers-3.7.1 threadpoolctl-3.1.0 typing-extensions-4.7.1 urllib3-1.26.16 websocket-client-1.6.1 wrapt-1.15.0 zstandard-0.21.0
> Task :sdks:python:apache_beam:testing:load_tests:run
INFO:apache_beam.runners.portability.stager:Copying Beam SDK "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/build/apache-beam.tar.gz"> 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 https://cloud.google.com/dataflow/docs/guides/using-custom-containers#prebuild
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230705
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230705" for Docker 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 gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0707125346.1688742485.402793/dataflow_python_sdk.tar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0707125346.1688742485.402793/dataflow_python_sdk.tar in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0707125346.1688742485.402793/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0707125346.1688742485.402793/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20230707150805403752-6122'
createTime: '2023-07-07T15:08:06.723050Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2023-07-07_08_08_06-8907028687305340767'
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name: 'load-tests-python-dataflow-streaming-combine-1-0707125346'
projectId: 'apache-beam-testing'
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startTime: '2023-07-07T15:08:06.723050Z'
steps: []
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INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-07-07_08_08_06-8907028687305340767]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-07-07_08_08_06-8907028687305340767
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-07-07_08_08_06-8907028687305340767?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-07-07_08_08_06-8907028687305340767 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-07T15:08:11.150Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-c.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-07T15:08:12.805Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-07T15:08:12.830Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-07T15:08:12.877Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-07T15:08:12.947Z: JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-07T15:08:12.978Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write steps
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-07T15:08:13.043Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-07T15:08:13.111Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-07T15:08:13.145Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-07T15:08:13.179Z: JOB_MESSAGE_DETAILED: Fusing consumer Read synthetic/Map(<lambda at iobase.py:908>) into Read synthetic/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-07T15:08:13.202Z: 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:2023-07-07T15:08:13.231Z: 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:2023-07-07T15:08:13.266Z: 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:2023-07-07T15:08:13.298Z: JOB_MESSAGE_DETAILED: Fusing consumer Combine with Top 0/KeyWithVoid into Measure time: Start
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-07T15:08:13.332Z: 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:2023-07-07T15:08:13.365Z: 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:2023-07-07T15:08:13.398Z: 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:2023-07-07T15:08:13.433Z: 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:2023-07-07T15:08:13.466Z: 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:2023-07-07T15:08:13.497Z: JOB_MESSAGE_DETAILED: Fusing consumer Consume 0 into Combine with Top 0/UnKey
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-07T15:08:13.531Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure time: End 0 into Consume 0
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-07T15:08:13.640Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-07T15:08:13.676Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-07T15:08:13.708Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-07T15:08:13.743Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-07T15:08:13.775Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-07T15:08:13.956Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-07T15:08:13.987Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-c...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-07T15:08:14.038Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-07-07_08_08_06-8907028687305340767 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-07T15:08:30.790Z: 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:2023-07-07T15:10:53.699Z: 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:2023-07-07T15:10:53.729Z: 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:2023-07-07T15:11:03.585Z: 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:2023-07-07T15:11:30.232Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
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INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-07T16:08:06.911Z: 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:2023-07-07T16:29:09.244Z: 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:2023-07-07T16:39:10.716Z: 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:2023-07-07T16:57:08.649Z: 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:2023-07-07T17:07:10.109Z: 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:2023-07-07T17:25:31.968Z: 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:2023-07-07T17:35:23.909Z: 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:2023-07-07T17:53:16.032Z: 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:2023-07-07T18:03:17.927Z: 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:2023-07-07T18:21:16.891Z: 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:2023-07-07T18:30:18.404Z: 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:2023-07-07T18:49:20.109Z: 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:2023-07-07T19:01:22.405Z: 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:2023-07-07T19:17:25.212Z: 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:2023-07-07T19:29:27.796Z: 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:2023-07-07T19:44:29.617Z: 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:2023-07-07T19:51:31.599Z: 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 2023-07-07_08_08_06-8907028687305340767 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-07T20:00:54.703Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2023-07-07_08_08_06-8907028687305340767.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-07T20:00:54.752Z: JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-07T20:00:54.814Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-07T20:00:54.837Z: JOB_MESSAGE_BASIC: Stopping **** pool...
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INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-07T20:00:54.881Z: JOB_MESSAGE_BASIC: Stopping **** pool...
Traceback (most recent call last):
File "/usr/lib/python3.8/runpy.py", line 194, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/usr/lib/python3.8/runpy.py", line 87, 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 1556, in wait_until_finish
assert duration or terminated, (
AssertionError: Job did not reach to a terminal state after waiting indefinitely. Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2023-07-07_08_08_06-8907028687305340767?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: 63
* 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 26s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date
Publishing build scan...
https://ge.apache.org/s/fr7q4hkqnqp3q
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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Building wheels for collected packages: apache-beam
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Successfully built apache-beam
Installing collected packages: sortedcontainers, pytz, docopt, crcmod, zstandard, wrapt, websocket-client, urllib3, threadpoolctl, tenacity, sqlparse, six, shapely, scipy, regex, pyyaml, pyparsing, pymysql, PyJWT, pyhamcrest, pycparser, pyasn1, pyarrow, psycopg2-binary, proto-plus, portalocker, parameterized, overrides, orjson, objsize, mock, joblib, jmespath, iniconfig, idna, greenlet, googleapis-common-protos, google-crc32c, fasteners, fastavro, execnet, exceptiongroup, dnspython, dill, deprecation, cloudpickle, charset-normalizer, certifi, attrs, sqlalchemy, scikit-learn, rsa, requests, python-dateutil, pytest, pymongo, pydot, pyasn1-modules, isodate, hypothesis, httplib2, grpcio-status, google-resumable-media, cffi, requests_mock, pytest-xdist, pytest-timeout, pandas, oauth2client, hdfs, grpc-google-iam-v1, google-auth, freezegun, docker, cryptography, botocore, azure-core, testcontainers, s3transfer, google-auth-httplib2, google-apitools, google-api-core, azure-storage-blob, apache-beam, msal, google-cloud-core, boto3, msal-extensions, google-cloud-vision, google-cloud-videointelligence, google-cloud-storage, google-cloud-spanner, google-cloud-resource-manager, google-cloud-recommendations-ai, google-cloud-pubsub, google-cloud-language, google-cloud-dlp, google-cloud-datastore, google-cloud-bigtable, google-cloud-bigquery-storage, google-cloud-bigquery, google-cloud-pubsublite, google-cloud-aiplatform, azure-identity
Successfully installed PyJWT-2.8.0 apache-beam-2.51.0.dev0 attrs-23.1.0 azure-core-1.29.4 azure-identity-1.15.0b1 azure-storage-blob-12.18.0 boto3-1.28.46 botocore-1.31.46 certifi-2023.7.22 cffi-1.15.1 charset-normalizer-3.2.0 cloudpickle-2.2.1 crcmod-1.7 cryptography-41.0.3 deprecation-2.1.0 dill-0.3.1.1 dnspython-2.4.2 docker-6.1.3 docopt-0.6.2 exceptiongroup-1.1.3 execnet-2.0.2 fastavro-1.8.3 fasteners-0.18 freezegun-1.2.2 google-api-core-2.12.0rc1 google-apitools-0.5.31 google-auth-2.23.0 google-auth-httplib2-0.1.1 google-cloud-aiplatform-1.32.0 google-cloud-bigquery-3.11.4 google-cloud-bigquery-storage-2.22.0 google-cloud-bigtable-2.21.0 google-cloud-core-2.3.3 google-cloud-datastore-2.18.0 google-cloud-dlp-3.12.2 google-cloud-language-2.11.0 google-cloud-pubsub-2.18.4 google-cloud-pubsublite-1.8.3 google-cloud-recommendations-ai-0.10.4 google-cloud-resource-manager-1.10.3 google-cloud-spanner-3.40.1 google-cloud-storage-2.10.0 google-cloud-videointelligence-2.11.3 google-cloud-vision-3.4.4 google-crc32c-1.5.0 google-resumable-media-2.6.0 googleapis-common-protos-1.60.0 greenlet-3.0.0rc3 grpc-google-iam-v1-0.12.6 grpcio-status-1.58.0 hdfs-2.7.2 httplib2-0.22.0 hypothesis-6.84.3 idna-3.4 iniconfig-2.0.0 isodate-0.6.1 jmespath-1.0.1 joblib-1.3.2 mock-5.1.0 msal-1.24.0 msal-extensions-1.0.0 oauth2client-4.1.3 objsize-0.6.1 orjson-3.9.7 overrides-6.5.0 pandas-1.5.3 parameterized-0.9.0 portalocker-2.7.0 proto-plus-1.22.3 psycopg2-binary-2.9.7 pyarrow-11.0.0 pyasn1-0.5.0 pyasn1-modules-0.3.0 pycparser-2.21 pydot-1.4.2 pyhamcrest-2.0.4 pymongo-4.5.0 pymysql-1.1.0 pyparsing-3.1.1 pytest-7.4.2 pytest-timeout-2.1.0 pytest-xdist-3.3.1 python-dateutil-2.8.2 pytz-2023.3.post1 pyyaml-6.0.1 regex-2023.8.8 requests-2.31.0 requests_mock-1.11.0 rsa-4.9 s3transfer-0.6.2 scikit-learn-1.3.0 scipy-1.10.1 shapely-1.8.5.post1 six-1.16.0 sortedcontainers-2.4.0 sqlalchemy-1.4.49 sqlparse-0.4.4 tenacity-8.2.3 testcontainers-3.7.1 threadpoolctl-3.2.0 urllib3-1.26.16 websocket-client-1.6.3 wrapt-1.15.0 zstandard-0.21.0
> Task :sdks:python:apache_beam:testing:load_tests:run
INFO:apache_beam.runners.portability.stager:Copying Beam SDK "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/build/apache-beam.tar.gz"> 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 https://cloud.google.com/dataflow/docs/guides/using-custom-containers#prebuild
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230912
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230912" for Docker environment
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/smoketests/load-tests-python-dataflow-streaming-combine-1-0913125355.1694617681.608152/dataflow_python_sdk.tar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0913125355.1694617681.608152/dataflow_python_sdk.tar in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0913125355.1694617681.608152/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0913125355.1694617681.608152/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20230913150801609165-4723'
createTime: '2023-09-13T15:08:02.602428Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2023-09-13_08_08_02-6299722890580030042'
location: 'us-central1'
name: 'load-tests-python-dataflow-streaming-combine-1-0913125355'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2023-09-13T15:08:02.602428Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-09-13_08_08_02-6299722890580030042]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-09-13_08_08_02-6299722890580030042
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-09-13_08_08_02-6299722890580030042?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-09-13_08_08_02-6299722890580030042 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-09-13T15:08:08.083Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-09-13T15:08:15.136Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-09-13T15:08:15.476Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-09-13_08_08_02-6299722890580030042 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-09-13T15:08:36.770Z: 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:2023-09-13T20:00:37.587Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2023-09-13_08_08_02-6299722890580030042.
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-09-13_08_08_02-6299722890580030042 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-09-13T20:00:37.692Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-09-13T20:00:37.742Z: JOB_MESSAGE_BASIC: Stopping **** pool...
Traceback (most recent call last):
File "/usr/lib/python3.8/runpy.py", line 194, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/usr/lib/python3.8/runpy.py", line 87, 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 757, in wait_until_finish
assert duration or terminated, (
AssertionError: Job did not reach to a terminal state after waiting indefinitely. Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2023-09-13_08_08_02-6299722890580030042?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: 63
* 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/7.6.2/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 4h 55m 8s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date
Publishing build scan...
Publishing build scan failed due to network error 'java.net.SocketTimeoutException: Read timed out' (2 retries remaining)...
Publishing failed.
The response from https://ge.apache.org/scans/publish/gradle/3.13.2/token was not from Gradle Enterprise.
The specified server address may be incorrect, or your network environment may be interfering.
Please report this problem to your Gradle Enterprise administrator via https://ge.apache.org/help and include the following via copy/paste:
----------
Gradle version: 7.6.2
Plugin version: 3.13.2
Request URL: https://ge.apache.org/scans/publish/gradle/3.13.2/token
Request ID: ca5454d3-6c70-4f1b-9c88-e2b51b2bd7f4
Response status code: 502
Response content type: text/html
----------
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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Changes:
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Building wheels for collected packages: apache-beam
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Installing collected packages: sortedcontainers, pytz, docopt, crcmod, zstandard, wrapt, websocket-client, urllib3, threadpoolctl, tenacity, sqlparse, six, shapely, scipy, regex, pyyaml, pyparsing, pymysql, PyJWT, pyhamcrest, pycparser, pyasn1, pyarrow, psycopg2-binary, protobuf, portalocker, parameterized, overrides, orjson, objsize, mock, joblib, jmespath, iniconfig, idna, greenlet, google-crc32c, fasteners, fastavro, execnet, exceptiongroup, dnspython, dill, deprecation, cloudpickle, charset-normalizer, certifi, attrs, sqlalchemy, scikit-learn, rsa, requests, python-dateutil, pytest, pymongo, pydot, pyasn1-modules, proto-plus, isodate, hypothesis, httplib2, googleapis-common-protos, google-resumable-media, cffi, requests_mock, pytest-xdist, pytest-timeout, pandas, oauth2client, hdfs, grpcio-status, google-auth, freezegun, docker, cryptography, botocore, azure-core, testcontainers, s3transfer, grpc-google-iam-v1, google-auth-httplib2, google-apitools, google-api-core, azure-storage-blob, apache-beam, msal, google-cloud-core, boto3, msal-extensions, google-cloud-vision, google-cloud-videointelligence, google-cloud-storage, google-cloud-spanner, google-cloud-resource-manager, google-cloud-recommendations-ai, google-cloud-pubsub, google-cloud-language, google-cloud-dlp, google-cloud-datastore, google-cloud-bigtable, google-cloud-bigquery-storage, google-cloud-bigquery, google-cloud-pubsublite, google-cloud-aiplatform, azure-identity
Attempting uninstall: protobuf
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> Task :sdks:python:apache_beam:testing:load_tests:run
INFO:apache_beam.runners.portability.stager:Copying Beam SDK "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/build/apache-beam.tar.gz"> 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 https://cloud.google.com/dataflow/docs/guides/using-custom-containers#prebuild
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717" for Docker environment
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/smoketests/load-tests-python-dataflow-streaming-combine-1-0912125411.1694531276.682651/dataflow_python_sdk.tar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0912125411.1694531276.682651/dataflow_python_sdk.tar in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0912125411.1694531276.682651/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0912125411.1694531276.682651/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20230912150756683648-5001'
createTime: '2023-09-12T15:07:57.730317Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2023-09-12_08_07_57-687697229327874203'
location: 'us-central1'
name: 'load-tests-python-dataflow-streaming-combine-1-0912125411'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2023-09-12T15:07:57.730317Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-09-12_08_07_57-687697229327874203]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-09-12_08_07_57-687697229327874203
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-09-12_08_07_57-687697229327874203?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-09-12_08_07_57-687697229327874203 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-09-12T15:08:03.829Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-09-12T15:08:05.769Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-09-12T15:08:06.089Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-09-12_08_07_57-687697229327874203 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-09-12T15:08:41.931Z: 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
WARNING:apache_beam.runners.dataflow.dataflow_runner:2023-09-12T19:58:36.125Z: JOB_MESSAGE_WARNING: Autoscaling: Unable to reach resize target in zone us-central1-b. ZONE_RESOURCE_POOL_EXHAUSTED_WITH_DETAILS: Instance 'load-tests-python-dataflo-09120807-1w0f-harness-h2zj' creation failed: The zone 'projects/apache-beam-testing/zones/us-central1-b' does not have enough resources available to fulfill the request. '(resource type:compute)'.
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-09-12_08_07_57-687697229327874203 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-09-12T20:24:29.351Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2023-09-12_08_07_57-687697229327874203.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-09-12T20:24:29.501Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-09-12T20:24:29.555Z: JOB_MESSAGE_BASIC: Stopping **** pool...
Traceback (most recent call last):
File "/usr/lib/python3.8/runpy.py", line 194, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/usr/lib/python3.8/runpy.py", line 87, 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 757, in wait_until_finish
assert duration or terminated, (
AssertionError: Job did not reach to a terminal state after waiting indefinitely. Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2023-09-12_08_07_57-687697229327874203?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: 63
* 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/7.6.2/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 5h 18m 46s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date
Publishing build scan...
https://ge.apache.org/s/lf3va2ogwevxq
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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For additional commands, e-mail: builds-help@beam.apache.org
Build failed in Jenkins: beam_LoadTests_Python_Combine_Dataflow_Streaming #1114
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/1114/display/redirect>
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Building wheels for collected packages: apache-beam
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> Task :sdks:python:apache_beam:testing:load_tests:run
INFO:apache_beam.runners.portability.stager:Copying Beam SDK "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/build/apache-beam.tar.gz"> 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 https://cloud.google.com/dataflow/docs/guides/using-custom-containers#prebuild
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717" for Docker environment
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/smoketests/load-tests-python-dataflow-streaming-combine-1-0911125343.1694444885.389798/dataflow_python_sdk.tar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0911125343.1694444885.389798/dataflow_python_sdk.tar in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0911125343.1694444885.389798/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0911125343.1694444885.389798/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20230911150805390801-4590'
createTime: '2023-09-11T15:08:06.453787Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2023-09-11_08_08_05-16896172010137766831'
location: 'us-central1'
name: 'load-tests-python-dataflow-streaming-combine-1-0911125343'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2023-09-11T15:08:06.453787Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-09-11_08_08_05-16896172010137766831]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-09-11_08_08_05-16896172010137766831
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-09-11_08_08_05-16896172010137766831?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-09-11_08_08_05-16896172010137766831 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-09-11T15:08:17.634Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-a.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-09-11T15:08:24.467Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-09-11T15:08:24.893Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-a...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-09-11_08_08_05-16896172010137766831 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-09-11T15:08:35.235Z: 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:Job 2023-09-11_08_08_05-16896172010137766831 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-09-11T20:01:34.767Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2023-09-11_08_08_05-16896172010137766831.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-09-11T20:01:34.973Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-09-11T20:01:35.023Z: JOB_MESSAGE_BASIC: Stopping **** pool...
Traceback (most recent call last):
File "/usr/lib/python3.8/runpy.py", line 194, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/usr/lib/python3.8/runpy.py", line 87, 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 757, in wait_until_finish
assert duration or terminated, (
AssertionError: Job did not reach to a terminal state after waiting indefinitely. Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2023-09-11_08_08_05-16896172010137766831?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: 63
* 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/7.6.2/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 4h 55m 39s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date
Publishing build scan...
Publishing build scan failed due to network error 'java.net.SocketTimeoutException: Read timed out' (2 retries remaining)...
https://ge.apache.org/s/fsbdhm5dylcua
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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See <https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/1113/display/redirect>
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Building wheels for collected packages: apache-beam
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Stored in directory: /home/jenkins/.cache/pip/wheels/67/34/b8/5adce605a0a3f10491be234729fa4854c6a127bc01194f13fc
Successfully built apache-beam
Installing collected packages: sortedcontainers, pytz, docopt, crcmod, zstandard, wrapt, websocket-client, urllib3, threadpoolctl, tenacity, sqlparse, six, shapely, scipy, regex, pyyaml, pyparsing, pymysql, PyJWT, pyhamcrest, pycparser, pyasn1, pyarrow, psycopg2-binary, protobuf, portalocker, parameterized, overrides, orjson, objsize, mock, joblib, jmespath, iniconfig, idna, greenlet, google-crc32c, fasteners, fastavro, execnet, exceptiongroup, dnspython, dill, deprecation, cloudpickle, charset-normalizer, certifi, attrs, sqlalchemy, scikit-learn, rsa, requests, python-dateutil, pytest, pymongo, pydot, pyasn1-modules, proto-plus, isodate, hypothesis, httplib2, googleapis-common-protos, google-resumable-media, cffi, requests_mock, pytest-xdist, pytest-timeout, pandas, oauth2client, hdfs, grpcio-status, google-auth, freezegun, docker, cryptography, botocore, azure-core, testcontainers, s3transfer, grpc-google-iam-v1, google-auth-httplib2, google-apitools, google-api-core, azure-storage-blob, apache-beam, msal, google-cloud-core, boto3, msal-extensions, google-cloud-vision, google-cloud-videointelligence, google-cloud-storage, google-cloud-spanner, google-cloud-resource-manager, google-cloud-recommendations-ai, google-cloud-pubsub, google-cloud-language, google-cloud-dlp, google-cloud-datastore, google-cloud-bigtable, google-cloud-bigquery-storage, google-cloud-bigquery, google-cloud-pubsublite, google-cloud-aiplatform, azure-identity
Attempting uninstall: protobuf
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Successfully installed PyJWT-2.8.0 apache-beam-2.51.0.dev0 attrs-23.1.0 azure-core-1.29.4 azure-identity-1.14.0 azure-storage-blob-12.18.0b1 boto3-1.28.44 botocore-1.31.44 certifi-2023.7.22 cffi-1.15.1 charset-normalizer-3.2.0 cloudpickle-2.2.1 crcmod-1.7 cryptography-41.0.3 deprecation-2.1.0 dill-0.3.1.1 dnspython-2.4.2 docker-6.1.3 docopt-0.6.2 exceptiongroup-1.1.3 execnet-2.0.2 fastavro-1.8.3 fasteners-0.18 freezegun-1.2.2 google-api-core-2.12.0.dev1 google-apitools-0.5.31 google-auth-2.22.0 google-auth-httplib2-0.1.0 google-cloud-aiplatform-1.32.0 google-cloud-bigquery-3.11.4 google-cloud-bigquery-storage-2.22.0 google-cloud-bigtable-2.21.0 google-cloud-core-2.3.3 google-cloud-datastore-2.18.0 google-cloud-dlp-3.12.2 google-cloud-language-2.11.0 google-cloud-pubsub-2.18.3 google-cloud-pubsublite-1.8.3 google-cloud-recommendations-ai-0.10.4 google-cloud-resource-manager-1.10.3 google-cloud-spanner-3.40.1 google-cloud-storage-2.10.0 google-cloud-videointelligence-2.11.3 google-cloud-vision-3.4.4 google-crc32c-1.5.0 google-resumable-media-2.6.0 googleapis-common-protos-1.60.0 greenlet-3.0.0rc2 grpc-google-iam-v1-0.12.6 grpcio-status-1.58.0 hdfs-2.7.2 httplib2-0.22.0 hypothesis-6.84.2 idna-3.4 iniconfig-2.0.0 isodate-0.6.1 jmespath-1.0.1 joblib-1.3.2 mock-5.1.0 msal-1.24.0b1 msal-extensions-1.0.0 oauth2client-4.1.3 objsize-0.6.1 orjson-3.9.2 overrides-6.5.0 pandas-1.5.3 parameterized-0.9.0 portalocker-2.7.0 proto-plus-1.22.3 protobuf-4.23.4 psycopg2-binary-2.9.7 pyarrow-11.0.0 pyasn1-0.5.0 pyasn1-modules-0.3.0 pycparser-2.21 pydot-1.4.2 pyhamcrest-2.0.4 pymongo-4.5.0 pymysql-1.1.0 pyparsing-3.1.1 pytest-7.4.2 pytest-timeout-2.1.0 pytest-xdist-3.3.1 python-dateutil-2.8.2 pytz-2023.3.post1 pyyaml-6.0.1 regex-2023.8.8 requests-2.31.0 requests_mock-1.11.0 rsa-4.9 s3transfer-0.6.2 scikit-learn-1.3.0 scipy-1.10.1 shapely-1.8.5.post1 six-1.16.0 sortedcontainers-2.4.0 sqlalchemy-1.4.49 sqlparse-0.4.4 tenacity-8.2.3 testcontainers-3.7.1 threadpoolctl-3.2.0 urllib3-1.26.16 websocket-client-1.6.2 wrapt-1.15.0 zstandard-0.21.0
> Task :sdks:python:apache_beam:testing:load_tests:run
INFO:apache_beam.runners.portability.stager:Copying Beam SDK "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/build/apache-beam.tar.gz"> 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 https://cloud.google.com/dataflow/docs/guides/using-custom-containers#prebuild
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717" for Docker environment
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/smoketests/load-tests-python-dataflow-streaming-combine-1-0910125341.1694358473.303006/dataflow_python_sdk.tar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0910125341.1694358473.303006/dataflow_python_sdk.tar in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0910125341.1694358473.303006/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0910125341.1694358473.303006/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20230910150753304073-6631'
createTime: '2023-09-10T15:07:54.421746Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2023-09-10_08_07_53-15937158436987760'
location: 'us-central1'
name: 'load-tests-python-dataflow-streaming-combine-1-0910125341'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2023-09-10T15:07:54.421746Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-09-10_08_07_53-15937158436987760]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-09-10_08_07_53-15937158436987760
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-09-10_08_07_53-15937158436987760?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-09-10_08_07_53-15937158436987760 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-09-10T15:08:04.816Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-09-10T15:08:06.852Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-09-10T15:08:07.170Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-09-10_08_07_53-15937158436987760 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-09-10T15:08:16.334Z: 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:2023-09-10T15:13:11.681Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-09-10T15:13:25.375Z: 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:Job 2023-09-10_08_07_53-15937158436987760 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-09-10T20:00:43.826Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2023-09-10_08_07_53-15937158436987760.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-09-10T20:00:43.963Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-09-10T20:00:44.009Z: JOB_MESSAGE_BASIC: Stopping **** pool...
Traceback (most recent call last):
File "/usr/lib/python3.8/runpy.py", line 194, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/usr/lib/python3.8/runpy.py", line 87, 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 757, in wait_until_finish
assert duration or terminated, (
AssertionError: Job did not reach to a terminal state after waiting indefinitely. Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2023-09-10_08_07_53-15937158436987760?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: 63
* 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/7.6.2/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 4h 55m 17s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date
Publishing build scan...
https://ge.apache.org/s/o6kgwcebktjfi
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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Build failed in Jenkins: beam_LoadTests_Python_Combine_Dataflow_Streaming #1112
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/1112/display/redirect>
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Building wheels for collected packages: apache-beam
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Successfully built apache-beam
Installing collected packages: sortedcontainers, pytz, docopt, crcmod, zstandard, wrapt, websocket-client, urllib3, threadpoolctl, tenacity, sqlparse, six, shapely, scipy, regex, pyyaml, pyparsing, pymysql, PyJWT, pyhamcrest, pycparser, pyasn1, pyarrow, psycopg2-binary, protobuf, portalocker, parameterized, overrides, orjson, objsize, mock, joblib, jmespath, iniconfig, idna, greenlet, google-crc32c, fasteners, fastavro, execnet, exceptiongroup, dnspython, dill, deprecation, cloudpickle, charset-normalizer, certifi, attrs, sqlalchemy, scikit-learn, rsa, requests, python-dateutil, pytest, pymongo, pydot, pyasn1-modules, proto-plus, isodate, hypothesis, httplib2, googleapis-common-protos, google-resumable-media, cffi, requests_mock, pytest-xdist, pytest-timeout, pandas, oauth2client, hdfs, grpcio-status, google-auth, freezegun, docker, cryptography, botocore, azure-core, testcontainers, s3transfer, grpc-google-iam-v1, google-auth-httplib2, google-apitools, google-api-core, azure-storage-blob, apache-beam, msal, google-cloud-core, boto3, msal-extensions, google-cloud-vision, google-cloud-videointelligence, google-cloud-storage, google-cloud-spanner, google-cloud-resource-manager, google-cloud-recommendations-ai, google-cloud-pubsub, google-cloud-language, google-cloud-dlp, google-cloud-datastore, google-cloud-bigtable, google-cloud-bigquery-storage, google-cloud-bigquery, google-cloud-pubsublite, google-cloud-aiplatform, azure-identity
Attempting uninstall: protobuf
Found existing installation: protobuf 4.24.3
Uninstalling protobuf-4.24.3:
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Successfully installed PyJWT-2.8.0 apache-beam-2.51.0.dev0 attrs-23.1.0 azure-core-1.29.4 azure-identity-1.14.0 azure-storage-blob-12.18.0b1 boto3-1.28.44 botocore-1.31.44 certifi-2023.7.22 cffi-1.15.1 charset-normalizer-3.2.0 cloudpickle-2.2.1 crcmod-1.7 cryptography-41.0.3 deprecation-2.1.0 dill-0.3.1.1 dnspython-2.4.2 docker-6.1.3 docopt-0.6.2 exceptiongroup-1.1.3 execnet-2.0.2 fastavro-1.8.3 fasteners-0.18 freezegun-1.2.2 google-api-core-2.12.0.dev1 google-apitools-0.5.31 google-auth-2.22.0 google-auth-httplib2-0.1.0 google-cloud-aiplatform-1.32.0 google-cloud-bigquery-3.11.4 google-cloud-bigquery-storage-2.22.0 google-cloud-bigtable-2.21.0 google-cloud-core-2.3.3 google-cloud-datastore-2.18.0 google-cloud-dlp-3.12.2 google-cloud-language-2.11.0 google-cloud-pubsub-2.18.3 google-cloud-pubsublite-1.8.3 google-cloud-recommendations-ai-0.10.4 google-cloud-resource-manager-1.10.3 google-cloud-spanner-3.40.1 google-cloud-storage-2.10.0 google-cloud-videointelligence-2.11.3 google-cloud-vision-3.4.4 google-crc32c-1.5.0 google-resumable-media-2.6.0 googleapis-common-protos-1.60.0 greenlet-3.0.0rc2 grpc-google-iam-v1-0.12.6 grpcio-status-1.58.0 hdfs-2.7.2 httplib2-0.22.0 hypothesis-6.84.2 idna-3.4 iniconfig-2.0.0 isodate-0.6.1 jmespath-1.0.1 joblib-1.3.2 mock-5.1.0 msal-1.24.0b1 msal-extensions-1.0.0 oauth2client-4.1.3 objsize-0.6.1 orjson-3.9.2 overrides-6.5.0 pandas-1.5.3 parameterized-0.9.0 portalocker-2.7.0 proto-plus-1.22.3 protobuf-4.23.4 psycopg2-binary-2.9.7 pyarrow-11.0.0 pyasn1-0.5.0 pyasn1-modules-0.3.0 pycparser-2.21 pydot-1.4.2 pyhamcrest-2.0.4 pymongo-4.5.0 pymysql-1.1.0 pyparsing-3.1.1 pytest-7.4.2 pytest-timeout-2.1.0 pytest-xdist-3.3.1 python-dateutil-2.8.2 pytz-2023.3.post1 pyyaml-6.0.1 regex-2023.8.8 requests-2.31.0 requests_mock-1.11.0 rsa-4.9 s3transfer-0.6.2 scikit-learn-1.3.0 scipy-1.10.1 shapely-1.8.5.post1 six-1.16.0 sortedcontainers-2.4.0 sqlalchemy-1.4.49 sqlparse-0.4.4 tenacity-8.2.3 testcontainers-3.7.1 threadpoolctl-3.2.0 urllib3-1.26.16 websocket-client-1.6.2 wrapt-1.15.0 zstandard-0.21.0
> Task :sdks:python:apache_beam:testing:load_tests:run
INFO:apache_beam.runners.portability.stager:Copying Beam SDK "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/build/apache-beam.tar.gz"> 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 https://cloud.google.com/dataflow/docs/guides/using-custom-containers#prebuild
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717" for Docker environment
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/smoketests/load-tests-python-dataflow-streaming-combine-1-0909125401.1694272099.761282/dataflow_python_sdk.tar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0909125401.1694272099.761282/dataflow_python_sdk.tar in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0909125401.1694272099.761282/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0909125401.1694272099.761282/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20230909150819762212-8616'
createTime: '2023-09-09T15:08:20.991864Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2023-09-09_08_08_20-16749366383147749878'
location: 'us-central1'
name: 'load-tests-python-dataflow-streaming-combine-1-0909125401'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2023-09-09T15:08:20.991864Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-09-09_08_08_20-16749366383147749878]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-09-09_08_08_20-16749366383147749878
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-09-09_08_08_20-16749366383147749878?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-09-09_08_08_20-16749366383147749878 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-09-09T15:08:27.435Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-09-09T15:08:36.013Z: 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:2023-09-09T15:08:37.189Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-09-09T15:08:37.415Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-09-09_08_08_20-16749366383147749878 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-09-09T20:00:39.676Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2023-09-09_08_08_20-16749366383147749878.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-09-09T20:00:39.778Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-09-09T20:00:39.819Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-09-09_08_08_20-16749366383147749878 is in state JOB_STATE_CANCELLING
Traceback (most recent call last):
File "/usr/lib/python3.8/runpy.py", line 194, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/usr/lib/python3.8/runpy.py", line 87, 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 757, in wait_until_finish
assert duration or terminated, (
AssertionError: Job did not reach to a terminal state after waiting indefinitely. Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2023-09-09_08_08_20-16749366383147749878?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: 63
* 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/7.6.2/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 4h 55m 9s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date
Publishing build scan...
https://ge.apache.org/s/6vktlt2dcspz4
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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Build failed in Jenkins: beam_LoadTests_Python_Combine_Dataflow_Streaming #1111
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/1111/display/redirect>
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Collecting googleapis-common-protos<2.0.dev0,>=1.56.2 (from google-api-core<3,>=2.0.0->apache-beam==2.51.0.dev0)
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Obtaining dependency information for urllib3<2.0 from https://files.pythonhosted.org/packages/c5/05/c214b32d21c0b465506f95c4f28ccbcba15022e000b043b72b3df7728471/urllib3-1.26.16-py2.py3-none-any.whl.metadata
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Building wheels for collected packages: apache-beam
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Successfully built apache-beam
Installing collected packages: sortedcontainers, pytz, docopt, crcmod, zstandard, wrapt, websocket-client, urllib3, threadpoolctl, tenacity, sqlparse, six, shapely, scipy, regex, pyyaml, pyparsing, pymysql, PyJWT, pyhamcrest, pycparser, pyasn1, pyarrow, psycopg2-binary, protobuf, portalocker, parameterized, overrides, orjson, objsize, mock, joblib, jmespath, iniconfig, idna, greenlet, google-crc32c, fasteners, fastavro, execnet, exceptiongroup, dnspython, dill, deprecation, cloudpickle, charset-normalizer, certifi, attrs, sqlalchemy, scikit-learn, rsa, requests, python-dateutil, pytest, pymongo, pydot, pyasn1-modules, proto-plus, isodate, hypothesis, httplib2, googleapis-common-protos, google-resumable-media, cffi, requests_mock, pytest-xdist, pytest-timeout, pandas, oauth2client, hdfs, grpcio-status, google-auth, freezegun, docker, cryptography, botocore, azure-core, testcontainers, s3transfer, grpc-google-iam-v1, google-auth-httplib2, google-apitools, google-api-core, azure-storage-blob, apache-beam, msal, google-cloud-core, boto3, msal-extensions, google-cloud-vision, google-cloud-videointelligence, google-cloud-storage, google-cloud-spanner, google-cloud-resource-manager, google-cloud-recommendations-ai, google-cloud-pubsub, google-cloud-language, google-cloud-dlp, google-cloud-datastore, google-cloud-bigtable, google-cloud-bigquery-storage, google-cloud-bigquery, google-cloud-pubsublite, google-cloud-aiplatform, azure-identity
Attempting uninstall: protobuf
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Successfully installed PyJWT-2.8.0 apache-beam-2.51.0.dev0 attrs-23.1.0 azure-core-1.29.4 azure-identity-1.14.0 azure-storage-blob-12.18.0b1 boto3-1.28.43 botocore-1.31.43 certifi-2023.7.22 cffi-1.15.1 charset-normalizer-3.2.0 cloudpickle-2.2.1 crcmod-1.7 cryptography-41.0.3 deprecation-2.1.0 dill-0.3.1.1 dnspython-2.4.2 docker-6.1.3 docopt-0.6.2 exceptiongroup-1.1.3 execnet-2.0.2 fastavro-1.8.3 fasteners-0.18 freezegun-1.2.2 google-api-core-2.12.0.dev1 google-apitools-0.5.31 google-auth-2.22.0 google-auth-httplib2-0.1.0 google-cloud-aiplatform-1.32.0 google-cloud-bigquery-3.11.4 google-cloud-bigquery-storage-2.22.0 google-cloud-bigtable-2.21.0 google-cloud-core-2.3.3 google-cloud-datastore-2.18.0 google-cloud-dlp-3.12.2 google-cloud-language-2.11.0 google-cloud-pubsub-2.18.3 google-cloud-pubsublite-1.8.3 google-cloud-recommendations-ai-0.10.4 google-cloud-resource-manager-1.10.3 google-cloud-spanner-3.40.1 google-cloud-storage-2.10.0 google-cloud-videointelligence-2.11.3 google-cloud-vision-3.4.4 google-crc32c-1.5.0 google-resumable-media-2.6.0 googleapis-common-protos-1.60.0 greenlet-3.0.0rc1 grpc-google-iam-v1-0.12.6 grpcio-status-1.58.0 hdfs-2.7.2 httplib2-0.22.0 hypothesis-6.84.2 idna-3.4 iniconfig-2.0.0 isodate-0.6.1 jmespath-1.0.1 joblib-1.3.2 mock-5.1.0 msal-1.24.0b1 msal-extensions-1.0.0 oauth2client-4.1.3 objsize-0.6.1 orjson-3.9.2 overrides-6.5.0 pandas-1.5.3 parameterized-0.9.0 portalocker-2.7.0 proto-plus-1.22.3 protobuf-4.23.4 psycopg2-binary-2.9.7 pyarrow-11.0.0 pyasn1-0.5.0 pyasn1-modules-0.3.0 pycparser-2.21 pydot-1.4.2 pyhamcrest-2.0.4 pymongo-4.5.0 pymysql-1.1.0 pyparsing-3.1.1 pytest-7.4.2 pytest-timeout-2.1.0 pytest-xdist-3.3.1 python-dateutil-2.8.2 pytz-2023.3.post1 pyyaml-6.0.1 regex-2023.8.8 requests-2.31.0 requests_mock-1.11.0 rsa-4.9 s3transfer-0.6.2 scikit-learn-1.3.0 scipy-1.10.1 shapely-1.8.5.post1 six-1.16.0 sortedcontainers-2.4.0 sqlalchemy-1.4.49 sqlparse-0.4.4 tenacity-8.2.3 testcontainers-3.7.1 threadpoolctl-3.2.0 urllib3-1.26.16 websocket-client-1.6.2 wrapt-1.15.0 zstandard-0.21.0
> Task :sdks:python:apache_beam:testing:load_tests:run
INFO:apache_beam.runners.portability.stager:Copying Beam SDK "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/build/apache-beam.tar.gz"> 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 https://cloud.google.com/dataflow/docs/guides/using-custom-containers#prebuild
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717" for Docker environment
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/smoketests/load-tests-python-dataflow-streaming-combine-1-0908125350.1694185699.325632/dataflow_python_sdk.tar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0908125350.1694185699.325632/dataflow_python_sdk.tar in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0908125350.1694185699.325632/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0908125350.1694185699.325632/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20230908150819326555-7992'
createTime: '2023-09-08T15:08:20.268156Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2023-09-08_08_08_19-754038974611017331'
location: 'us-central1'
name: 'load-tests-python-dataflow-streaming-combine-1-0908125350'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2023-09-08T15:08:20.268156Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-09-08_08_08_19-754038974611017331]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-09-08_08_08_19-754038974611017331
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-09-08_08_08_19-754038974611017331?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-09-08_08_08_19-754038974611017331 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-09-08T15:08:25.283Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-a.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-09-08T15:08:27.574Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-09-08T15:08:27.846Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-a...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-09-08_08_08_19-754038974611017331 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-09-08T15:08:34.634Z: 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:Job 2023-09-08_08_08_19-754038974611017331 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-09-08T20:00:59.791Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2023-09-08_08_08_19-754038974611017331.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-09-08T20:00:59.920Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-09-08T20:00:59.960Z: JOB_MESSAGE_BASIC: Stopping **** pool...
Traceback (most recent call last):
File "/usr/lib/python3.8/runpy.py", line 194, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/usr/lib/python3.8/runpy.py", line 87, 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 757, in wait_until_finish
assert duration or terminated, (
AssertionError: Job did not reach to a terminal state after waiting indefinitely. Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2023-09-08_08_08_19-754038974611017331?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: 63
* 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/7.6.2/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 4h 55m 12s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date
Publishing build scan...
https://ge.apache.org/s/fpt7mu5iz7cas
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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Build failed in Jenkins: beam_LoadTests_Python_Combine_Dataflow_Streaming #1110
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/1110/display/redirect>
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Building wheels for collected packages: apache-beam
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> Task :sdks:python:apache_beam:testing:load_tests:run
INFO:apache_beam.runners.portability.stager:Copying Beam SDK "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/build/apache-beam.tar.gz"> 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 https://cloud.google.com/dataflow/docs/guides/using-custom-containers#prebuild
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717" for Docker environment
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/smoketests/load-tests-python-dataflow-streaming-combine-1-0907125401.1694099351.179515/dataflow_python_sdk.tar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0907125401.1694099351.179515/dataflow_python_sdk.tar in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0907125401.1694099351.179515/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0907125401.1694099351.179515/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20230907150911181062-8023'
createTime: '2023-09-07T15:09:12.315032Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2023-09-07_08_09_11-6915908769714256045'
location: 'us-central1'
name: 'load-tests-python-dataflow-streaming-combine-1-0907125401'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2023-09-07T15:09:12.315032Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-09-07_08_09_11-6915908769714256045]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-09-07_08_09_11-6915908769714256045
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-09-07_08_09_11-6915908769714256045?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-09-07_08_09_11-6915908769714256045 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-09-07T15:09:17.598Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-a.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-09-07T15:09:19.458Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-09-07T15:09:19.738Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-a...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-09-07_08_09_11-6915908769714256045 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-09-07T15:09:32.033Z: 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:Job 2023-09-07_08_09_11-6915908769714256045 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-09-07T20:14:10.519Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2023-09-07_08_09_11-6915908769714256045.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-09-07T20:14:10.637Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-09-07T20:14:10.688Z: JOB_MESSAGE_BASIC: Stopping **** pool...
Traceback (most recent call last):
File "/usr/lib/python3.8/runpy.py", line 194, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/usr/lib/python3.8/runpy.py", line 87, 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 757, in wait_until_finish
assert duration or terminated, (
AssertionError: Job did not reach to a terminal state after waiting indefinitely. Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2023-09-07_08_09_11-6915908769714256045?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: 63
* 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/7.6.2/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 5h 8m 34s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date
Publishing build scan...
https://ge.apache.org/s/bf5jpzkyshdmu
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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Build failed in Jenkins: beam_LoadTests_Python_Combine_Dataflow_Streaming #1109
Posted by Apache Jenkins Server <je...@builds.apache.org>.
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Building wheels for collected packages: apache-beam
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Successfully built apache-beam
Installing collected packages: sortedcontainers, pytz, docopt, crcmod, zstandard, wrapt, websocket-client, urllib3, threadpoolctl, tenacity, sqlparse, six, shapely, scipy, regex, pyyaml, pyparsing, pymysql, PyJWT, pyhamcrest, pycparser, pyasn1, pyarrow, psycopg2-binary, protobuf, portalocker, parameterized, overrides, orjson, objsize, mock, joblib, jmespath, iniconfig, idna, greenlet, google-crc32c, fasteners, fastavro, execnet, exceptiongroup, dnspython, dill, deprecation, cloudpickle, charset-normalizer, certifi, attrs, sqlalchemy, scikit-learn, rsa, requests, python-dateutil, pytest, pymongo, pydot, pyasn1-modules, proto-plus, isodate, hypothesis, httplib2, googleapis-common-protos, google-resumable-media, cffi, requests_mock, pytest-xdist, pytest-timeout, pandas, oauth2client, hdfs, grpcio-status, google-auth, freezegun, docker, cryptography, botocore, azure-core, testcontainers, s3transfer, grpc-google-iam-v1, google-auth-httplib2, google-apitools, google-api-core, azure-storage-blob, apache-beam, msal, google-cloud-core, boto3, msal-extensions, google-cloud-vision, google-cloud-videointelligence, google-cloud-storage, google-cloud-spanner, google-cloud-resource-manager, google-cloud-recommendations-ai, google-cloud-pubsub, google-cloud-language, google-cloud-dlp, google-cloud-datastore, google-cloud-bigtable, google-cloud-bigquery-storage, google-cloud-bigquery, google-cloud-pubsublite, google-cloud-aiplatform, azure-identity
Attempting uninstall: protobuf
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Successfully installed PyJWT-2.8.0 apache-beam-2.51.0.dev0 attrs-23.1.0 azure-core-1.29.3 azure-identity-1.14.0 azure-storage-blob-12.18.0b1 boto3-1.28.41 botocore-1.31.41 certifi-2023.7.22 cffi-1.15.1 charset-normalizer-3.2.0 cloudpickle-2.2.1 crcmod-1.7 cryptography-41.0.3 deprecation-2.1.0 dill-0.3.1.1 dnspython-2.4.2 docker-6.1.3 docopt-0.6.2 exceptiongroup-1.1.3 execnet-2.0.2 fastavro-1.8.2 fasteners-0.18 freezegun-1.2.2 google-api-core-2.12.0.dev1 google-apitools-0.5.31 google-auth-2.22.0 google-auth-httplib2-0.1.0 google-cloud-aiplatform-1.32.0 google-cloud-bigquery-3.11.4 google-cloud-bigquery-storage-2.22.0 google-cloud-bigtable-2.21.0 google-cloud-core-2.3.3 google-cloud-datastore-2.18.0 google-cloud-dlp-3.12.2 google-cloud-language-2.11.0 google-cloud-pubsub-2.18.3 google-cloud-pubsublite-1.8.3 google-cloud-recommendations-ai-0.10.4 google-cloud-resource-manager-1.10.3 google-cloud-spanner-3.40.1 google-cloud-storage-2.10.0 google-cloud-videointelligence-2.11.3 google-cloud-vision-3.4.4 google-crc32c-1.5.0 google-resumable-media-2.5.0 googleapis-common-protos-1.60.0 greenlet-3.0.0rc1 grpc-google-iam-v1-0.12.6 grpcio-status-1.58.0rc1 hdfs-2.7.2 httplib2-0.22.0 hypothesis-6.84.2 idna-3.4 iniconfig-2.0.0 isodate-0.6.1 jmespath-1.0.1 joblib-1.3.2 mock-5.1.0 msal-1.24.0b1 msal-extensions-1.0.0 oauth2client-4.1.3 objsize-0.6.1 orjson-3.9.5 overrides-6.5.0 pandas-1.5.3 parameterized-0.9.0 portalocker-2.7.0 proto-plus-1.22.3 protobuf-4.23.4 psycopg2-binary-2.9.7 pyarrow-11.0.0 pyasn1-0.5.0 pyasn1-modules-0.3.0 pycparser-2.21 pydot-1.4.2 pyhamcrest-2.0.4 pymongo-4.5.0 pymysql-1.1.0 pyparsing-3.1.1 pytest-7.4.1 pytest-timeout-2.1.0 pytest-xdist-3.3.1 python-dateutil-2.8.2 pytz-2023.3.post1 pyyaml-6.0.1 regex-2023.8.8 requests-2.31.0 requests_mock-1.11.0 rsa-4.9 s3transfer-0.6.2 scikit-learn-1.3.0 scipy-1.10.1 shapely-1.8.5.post1 six-1.16.0 sortedcontainers-2.4.0 sqlalchemy-1.4.49 sqlparse-0.4.4 tenacity-8.2.3 testcontainers-3.7.1 threadpoolctl-3.2.0 urllib3-1.26.16 websocket-client-1.6.2 wrapt-1.15.0 zstandard-0.21.0
> Task :sdks:python:apache_beam:testing:load_tests:run
INFO:apache_beam.runners.portability.stager:Copying Beam SDK "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/build/apache-beam.tar.gz"> 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 https://cloud.google.com/dataflow/docs/guides/using-custom-containers#prebuild
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717" for Docker environment
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/smoketests/load-tests-python-dataflow-streaming-combine-1-0906125350.1694012867.957135/dataflow_python_sdk.tar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0906125350.1694012867.957135/dataflow_python_sdk.tar in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0906125350.1694012867.957135/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0906125350.1694012867.957135/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20230906150747958080-4118'
createTime: '2023-09-06T15:07:48.966169Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2023-09-06_08_07_48-11075347368887949142'
location: 'us-central1'
name: 'load-tests-python-dataflow-streaming-combine-1-0906125350'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2023-09-06T15:07:48.966169Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-09-06_08_07_48-11075347368887949142]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-09-06_08_07_48-11075347368887949142
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-09-06_08_07_48-11075347368887949142?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-09-06_08_07_48-11075347368887949142 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-09-06T15:07:54.432Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-a.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-09-06T15:07:56.456Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-09-06T15:07:56.741Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-a...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-09-06_08_07_48-11075347368887949142 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-09-06T15:08:13.561Z: 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:Job 2023-09-06_08_07_48-11075347368887949142 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-09-06T20:16:15.551Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2023-09-06_08_07_48-11075347368887949142.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-09-06T20:16:15.648Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-09-06T20:16:15.683Z: JOB_MESSAGE_BASIC: Stopping **** pool...
Traceback (most recent call last):
File "/usr/lib/python3.8/runpy.py", line 194, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/usr/lib/python3.8/runpy.py", line 87, 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 757, in wait_until_finish
assert duration or terminated, (
AssertionError: Job did not reach to a terminal state after waiting indefinitely. Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2023-09-06_08_07_48-11075347368887949142?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: 63
* 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/7.6.2/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 5h 10m 43s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date
Publishing build scan...
https://ge.apache.org/s/z4kbrra3cd2ns
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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Build failed in Jenkins: beam_LoadTests_Python_Combine_Dataflow_Streaming #1108
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/1108/display/redirect>
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Building wheels for collected packages: apache-beam
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Successfully built apache-beam
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Attempting uninstall: protobuf
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Successfully installed PyJWT-2.8.0 apache-beam-2.51.0.dev0 attrs-23.1.0 azure-core-1.29.3 azure-identity-1.14.0 azure-storage-blob-12.18.0b1 boto3-1.28.40 botocore-1.31.40 certifi-2023.7.22 cffi-1.15.1 charset-normalizer-3.2.0 cloudpickle-2.2.1 crcmod-1.7 cryptography-41.0.3 deprecation-2.1.0 dill-0.3.1.1 dnspython-2.4.2 docker-6.1.3 docopt-0.6.2 exceptiongroup-1.1.3 execnet-2.0.2 fastavro-1.8.2 fasteners-0.18 freezegun-1.2.2 google-api-core-2.12.0.dev1 google-apitools-0.5.31 google-auth-2.22.0 google-auth-httplib2-0.1.0 google-cloud-aiplatform-1.31.1 google-cloud-bigquery-3.11.4 google-cloud-bigquery-storage-2.22.0 google-cloud-bigtable-2.21.0 google-cloud-core-2.3.3 google-cloud-datastore-2.17.0 google-cloud-dlp-3.12.2 google-cloud-language-2.11.0 google-cloud-pubsub-2.18.3 google-cloud-pubsublite-1.8.3 google-cloud-recommendations-ai-0.10.4 google-cloud-resource-manager-1.10.3 google-cloud-spanner-3.40.1 google-cloud-storage-2.10.0 google-cloud-videointelligence-2.11.3 google-cloud-vision-3.4.4 google-crc32c-1.5.0 google-resumable-media-2.5.0 googleapis-common-protos-1.60.0 greenlet-3.0.0rc1 grpc-google-iam-v1-0.12.6 grpcio-status-1.58.0rc1 hdfs-2.7.2 httplib2-0.22.0 hypothesis-6.84.0 idna-3.4 iniconfig-2.0.0 isodate-0.6.1 jmespath-1.0.1 joblib-1.3.2 mock-5.1.0 msal-1.24.0b1 msal-extensions-1.0.0 oauth2client-4.1.3 objsize-0.6.1 orjson-3.9.5 overrides-6.5.0 pandas-1.5.3 parameterized-0.9.0 portalocker-2.7.0 proto-plus-1.22.3 protobuf-4.23.4 psycopg2-binary-2.9.7 pyarrow-11.0.0 pyasn1-0.5.0 pyasn1-modules-0.3.0 pycparser-2.21 pydot-1.4.2 pyhamcrest-2.0.4 pymongo-4.5.0 pymysql-1.1.0 pyparsing-3.1.1 pytest-7.4.1 pytest-timeout-2.1.0 pytest-xdist-3.3.1 python-dateutil-2.8.2 pytz-2023.3.post1 pyyaml-6.0.1 regex-2023.8.8 requests-2.31.0 requests_mock-1.11.0 rsa-4.9 s3transfer-0.6.2 scikit-learn-1.3.0 scipy-1.10.1 shapely-1.8.5.post1 six-1.16.0 sortedcontainers-2.4.0 sqlalchemy-1.4.49 sqlparse-0.4.4 tenacity-8.2.3 testcontainers-3.7.1 threadpoolctl-3.2.0 urllib3-1.26.16 websocket-client-1.6.2 wrapt-1.15.0 zstandard-0.21.0
> Task :sdks:python:apache_beam:testing:load_tests:run
INFO:apache_beam.runners.portability.stager:Copying Beam SDK "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/build/apache-beam.tar.gz"> 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 https://cloud.google.com/dataflow/docs/guides/using-custom-containers#prebuild
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717" for Docker environment
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/smoketests/load-tests-python-dataflow-streaming-combine-1-0905125348.1693926653.974428/dataflow_python_sdk.tar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0905125348.1693926653.974428/dataflow_python_sdk.tar in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0905125348.1693926653.974428/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0905125348.1693926653.974428/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20230905151053976268-6544'
createTime: '2023-09-05T15:10:55.279730Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2023-09-05_08_10_54-1371352388866758541'
location: 'us-central1'
name: 'load-tests-python-dataflow-streaming-combine-1-0905125348'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2023-09-05T15:10:55.279730Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-09-05_08_10_54-1371352388866758541]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-09-05_08_10_54-1371352388866758541
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-09-05_08_10_54-1371352388866758541?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-09-05_08_10_54-1371352388866758541 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-09-05T15:11:03.488Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-a.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-09-05T15:11:06.028Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-09-05T15:11:06.344Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-a...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-09-05_08_10_54-1371352388866758541 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-09-05T15:11:20.471Z: 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:Job 2023-09-05_08_10_54-1371352388866758541 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-09-05T20:48:18.581Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2023-09-05_08_10_54-1371352388866758541.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-09-05T20:48:18.684Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-09-05T20:48:18.727Z: JOB_MESSAGE_BASIC: Stopping **** pool...
Traceback (most recent call last):
File "/usr/lib/python3.8/runpy.py", line 194, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/usr/lib/python3.8/runpy.py", line 87, 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 757, in wait_until_finish
assert duration or terminated, (
AssertionError: Job did not reach to a terminal state after waiting indefinitely. Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2023-09-05_08_10_54-1371352388866758541?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: 63
* 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/7.6.2/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 5h 40m 45s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date
Publishing build scan...
https://ge.apache.org/s/zfnkz3ap3gg74
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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Build failed in Jenkins: beam_LoadTests_Python_Combine_Dataflow_Streaming #1107
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/1107/display/redirect>
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> Task :sdks:python:apache_beam:testing:load_tests:run
INFO:apache_beam.runners.portability.stager:Copying Beam SDK "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/build/apache-beam.tar.gz"> 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 https://cloud.google.com/dataflow/docs/guides/using-custom-containers#prebuild
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717" for Docker environment
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/smoketests/load-tests-python-dataflow-streaming-combine-1-0904125338.1693840083.117996/dataflow_python_sdk.tar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0904125338.1693840083.117996/dataflow_python_sdk.tar in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0904125338.1693840083.117996/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0904125338.1693840083.117996/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20230904150803119037-1422'
createTime: '2023-09-04T15:08:04.146814Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2023-09-04_08_08_03-1011479574545312762'
location: 'us-central1'
name: 'load-tests-python-dataflow-streaming-combine-1-0904125338'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2023-09-04T15:08:04.146814Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-09-04_08_08_03-1011479574545312762]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-09-04_08_08_03-1011479574545312762
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-09-04_08_08_03-1011479574545312762?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-09-04_08_08_03-1011479574545312762 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-09-04T15:08:08.888Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-09-04T15:08:21.226Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-09-04T15:08:21.536Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-09-04T15:08:21.803Z: 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:Job 2023-09-04_08_08_03-1011479574545312762 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-09-04_08_08_03-1011479574545312762 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-09-04T20:00:47.133Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2023-09-04_08_08_03-1011479574545312762.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-09-04T20:00:47.236Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-09-04T20:00:47.273Z: JOB_MESSAGE_BASIC: Stopping **** pool...
Traceback (most recent call last):
File "/usr/lib/python3.8/runpy.py", line 194, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/usr/lib/python3.8/runpy.py", line 87, 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 757, in wait_until_finish
assert duration or terminated, (
AssertionError: Job did not reach to a terminal state after waiting indefinitely. Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2023-09-04_08_08_03-1011479574545312762?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: 63
* 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/7.6.2/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 4h 55m 13s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date
Publishing build scan...
https://ge.apache.org/s/f354xecwmpuba
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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Build failed in Jenkins: beam_LoadTests_Python_Combine_Dataflow_Streaming #1106
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/1106/display/redirect>
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Building wheels for collected packages: apache-beam
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Installing collected packages: sortedcontainers, pytz, docopt, crcmod, zstandard, wrapt, websocket-client, urllib3, threadpoolctl, tenacity, sqlparse, six, shapely, scipy, regex, pyyaml, pyparsing, pymysql, PyJWT, pyhamcrest, pycparser, pyasn1, pyarrow, psycopg2-binary, protobuf, portalocker, parameterized, overrides, orjson, objsize, mock, joblib, jmespath, iniconfig, idna, greenlet, google-crc32c, fasteners, fastavro, execnet, exceptiongroup, dnspython, dill, deprecation, cloudpickle, charset-normalizer, certifi, attrs, sqlalchemy, scikit-learn, rsa, requests, python-dateutil, pytest, pymongo, pydot, pyasn1-modules, proto-plus, isodate, hypothesis, httplib2, googleapis-common-protos, google-resumable-media, cffi, requests_mock, pytest-xdist, pytest-timeout, pandas, oauth2client, hdfs, grpcio-status, google-auth, freezegun, docker, cryptography, botocore, azure-core, testcontainers, s3transfer, grpc-google-iam-v1, google-auth-httplib2, google-apitools, google-api-core, azure-storage-blob, apache-beam, msal, google-cloud-core, boto3, msal-extensions, google-cloud-vision, google-cloud-videointelligence, google-cloud-storage, google-cloud-spanner, google-cloud-resource-manager, google-cloud-recommendations-ai, google-cloud-pubsub, google-cloud-language, google-cloud-dlp, google-cloud-datastore, google-cloud-bigtable, google-cloud-bigquery-storage, google-cloud-bigquery, google-cloud-pubsublite, google-cloud-aiplatform, azure-identity
Attempting uninstall: protobuf
Found existing installation: protobuf 4.24.2
Uninstalling protobuf-4.24.2:
Successfully uninstalled protobuf-4.24.2
Successfully installed PyJWT-2.8.0 apache-beam-2.51.0.dev0 attrs-23.1.0 azure-core-1.29.3 azure-identity-1.14.0 azure-storage-blob-12.18.0b1 boto3-1.28.40 botocore-1.31.40 certifi-2023.7.22 cffi-1.15.1 charset-normalizer-3.2.0 cloudpickle-2.2.1 crcmod-1.7 cryptography-41.0.3 deprecation-2.1.0 dill-0.3.1.1 dnspython-2.4.2 docker-6.1.3 docopt-0.6.2 exceptiongroup-1.1.3 execnet-2.0.2 fastavro-1.8.2 fasteners-0.18 freezegun-1.2.2 google-api-core-2.12.0.dev1 google-apitools-0.5.31 google-auth-2.22.0 google-auth-httplib2-0.1.0 google-cloud-aiplatform-1.31.1 google-cloud-bigquery-3.11.4 google-cloud-bigquery-storage-2.22.0 google-cloud-bigtable-2.21.0 google-cloud-core-2.3.3 google-cloud-datastore-2.17.0 google-cloud-dlp-3.12.2 google-cloud-language-2.11.0 google-cloud-pubsub-2.18.3 google-cloud-pubsublite-1.8.3 google-cloud-recommendations-ai-0.10.4 google-cloud-resource-manager-1.10.3 google-cloud-spanner-3.40.1 google-cloud-storage-2.10.0 google-cloud-videointelligence-2.11.3 google-cloud-vision-3.4.4 google-crc32c-1.5.0 google-resumable-media-2.5.0 googleapis-common-protos-1.60.0 greenlet-3.0.0rc1 grpc-google-iam-v1-0.12.6 grpcio-status-1.58.0rc1 hdfs-2.7.2 httplib2-0.22.0 hypothesis-6.83.0 idna-3.4 iniconfig-2.0.0 isodate-0.6.1 jmespath-1.0.1 joblib-1.3.2 mock-5.1.0 msal-1.24.0b1 msal-extensions-1.0.0 oauth2client-4.1.3 objsize-0.6.1 orjson-3.9.5 overrides-6.5.0 pandas-1.5.3 parameterized-0.9.0 portalocker-2.7.0 proto-plus-1.22.3 protobuf-4.23.4 psycopg2-binary-2.9.7 pyarrow-11.0.0 pyasn1-0.5.0 pyasn1-modules-0.3.0 pycparser-2.21 pydot-1.4.2 pyhamcrest-2.0.4 pymongo-4.5.0 pymysql-1.1.0 pyparsing-3.1.1 pytest-7.4.1 pytest-timeout-2.1.0 pytest-xdist-3.3.1 python-dateutil-2.8.2 pytz-2023.3 pyyaml-6.0.1 regex-2023.8.8 requests-2.31.0 requests_mock-1.11.0 rsa-4.9 s3transfer-0.6.2 scikit-learn-1.3.0 scipy-1.10.1 shapely-1.8.5.post1 six-1.16.0 sortedcontainers-2.4.0 sqlalchemy-1.4.49 sqlparse-0.4.4 tenacity-8.2.3 testcontainers-3.7.1 threadpoolctl-3.2.0 urllib3-1.26.16 websocket-client-1.6.2 wrapt-1.15.0 zstandard-0.21.0
> Task :sdks:python:apache_beam:testing:load_tests:run
INFO:apache_beam.runners.portability.stager:Copying Beam SDK "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/build/apache-beam.tar.gz"> 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 https://cloud.google.com/dataflow/docs/guides/using-custom-containers#prebuild
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717" for Docker environment
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/smoketests/load-tests-python-dataflow-streaming-combine-1-0903125345.1693753676.249528/dataflow_python_sdk.tar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0903125345.1693753676.249528/dataflow_python_sdk.tar in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0903125345.1693753676.249528/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0903125345.1693753676.249528/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20230903150756250480-3619'
createTime: '2023-09-03T15:07:57.158474Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2023-09-03_08_07_56-1496317002990797103'
location: 'us-central1'
name: 'load-tests-python-dataflow-streaming-combine-1-0903125345'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2023-09-03T15:07:57.158474Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-09-03_08_07_56-1496317002990797103]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-09-03_08_07_56-1496317002990797103
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-09-03_08_07_56-1496317002990797103?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-09-03_08_07_56-1496317002990797103 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-09-03T15:08:09.458Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-09-03T15:08:31.163Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-09-03T15:08:31.397Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-09-03_08_07_56-1496317002990797103 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-09-03T15:08:47.209Z: 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:Job 2023-09-03_08_07_56-1496317002990797103 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-09-03T20:00:59.634Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2023-09-03_08_07_56-1496317002990797103.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-09-03T20:00:59.801Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-09-03T20:00:59.861Z: JOB_MESSAGE_BASIC: Stopping **** pool...
Traceback (most recent call last):
File "/usr/lib/python3.8/runpy.py", line 194, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/usr/lib/python3.8/runpy.py", line 87, 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 757, in wait_until_finish
assert duration or terminated, (
AssertionError: Job did not reach to a terminal state after waiting indefinitely. Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2023-09-03_08_07_56-1496317002990797103?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: 63
* 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/7.6.2/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://ge.apache.org/s/altktmmpgq6fg
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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Build failed in Jenkins: beam_LoadTests_Python_Combine_Dataflow_Streaming #1105
Posted by Apache Jenkins Server <je...@builds.apache.org>.
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Obtaining dependency information for google-cloud-storage<3.0.0dev,>=1.32.0 from https://files.pythonhosted.org/packages/88/14/c9d4faae7ea4bff4405152cbc762b61100aa6949273b4eb3203d23308670/google_cloud_storage-2.10.0-py2.py3-none-any.whl.metadata
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> Task :sdks:python:apache_beam:testing:load_tests:run
INFO:apache_beam.runners.portability.stager:Copying Beam SDK "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/build/apache-beam.tar.gz"> 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 https://cloud.google.com/dataflow/docs/guides/using-custom-containers#prebuild
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717" for Docker environment
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/smoketests/load-tests-python-dataflow-streaming-combine-1-0902125338.1693667264.329539/dataflow_python_sdk.tar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0902125338.1693667264.329539/dataflow_python_sdk.tar in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0902125338.1693667264.329539/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0902125338.1693667264.329539/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20230902150744330498-2773'
createTime: '2023-09-02T15:07:45.315639Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2023-09-02_08_07_44-8023100543325930444'
location: 'us-central1'
name: 'load-tests-python-dataflow-streaming-combine-1-0902125338'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2023-09-02T15:07:45.315639Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-09-02_08_07_44-8023100543325930444]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-09-02_08_07_44-8023100543325930444
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-09-02_08_07_44-8023100543325930444?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-09-02_08_07_44-8023100543325930444 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-09-02T15:07:50.909Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-09-02T15:07:53.068Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-09-02T15:07:53.353Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-09-02_08_07_44-8023100543325930444 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-09-02T15:08:19.327Z: 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:Job 2023-09-02_08_07_44-8023100543325930444 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-09-02T20:00:45.539Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2023-09-02_08_07_44-8023100543325930444.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-09-02T20:00:45.655Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-09-02T20:00:45.691Z: JOB_MESSAGE_BASIC: Stopping **** pool...
Traceback (most recent call last):
File "/usr/lib/python3.8/runpy.py", line 194, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/usr/lib/python3.8/runpy.py", line 87, 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 757, in wait_until_finish
assert duration or terminated, (
AssertionError: Job did not reach to a terminal state after waiting indefinitely. Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2023-09-02_08_07_44-8023100543325930444?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: 63
* 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/7.6.2/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 4h 55m 16s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date
Publishing build scan...
https://ge.apache.org/s/ugi23o5ills6i
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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Build failed in Jenkins: beam_LoadTests_Python_Combine_Dataflow_Streaming #1104
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/1104/display/redirect>
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Building wheels for collected packages: apache-beam
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Successfully built apache-beam
Installing collected packages: sortedcontainers, pytz, docopt, crcmod, zstandard, wrapt, websocket-client, urllib3, threadpoolctl, tenacity, sqlparse, six, shapely, scipy, regex, pyyaml, pyparsing, pymysql, PyJWT, pyhamcrest, pycparser, pyasn1, pyarrow, psycopg2-binary, protobuf, portalocker, parameterized, overrides, orjson, objsize, mock, joblib, jmespath, iniconfig, idna, greenlet, google-crc32c, fasteners, fastavro, execnet, exceptiongroup, dnspython, dill, deprecation, cloudpickle, charset-normalizer, certifi, attrs, sqlalchemy, scikit-learn, rsa, requests, python-dateutil, pytest, pymongo, pydot, pyasn1-modules, proto-plus, isodate, hypothesis, httplib2, googleapis-common-protos, google-resumable-media, cffi, requests_mock, pytest-xdist, pytest-timeout, pandas, oauth2client, hdfs, grpcio-status, google-auth, freezegun, docker, cryptography, botocore, azure-core, testcontainers, s3transfer, grpc-google-iam-v1, google-auth-httplib2, google-apitools, google-api-core, azure-storage-blob, apache-beam, msal, google-cloud-core, boto3, msal-extensions, google-cloud-vision, google-cloud-videointelligence, google-cloud-storage, google-cloud-spanner, google-cloud-resource-manager, google-cloud-recommendations-ai, google-cloud-pubsub, google-cloud-language, google-cloud-dlp, google-cloud-datastore, google-cloud-bigtable, google-cloud-bigquery-storage, google-cloud-bigquery, google-cloud-pubsublite, google-cloud-aiplatform, azure-identity
Attempting uninstall: protobuf
Found existing installation: protobuf 4.24.2
Uninstalling protobuf-4.24.2:
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Successfully installed PyJWT-2.8.0 apache-beam-2.51.0.dev0 attrs-23.1.0 azure-core-1.29.3 azure-identity-1.14.0 azure-storage-blob-12.18.0b1 boto3-1.28.39 botocore-1.31.39 certifi-2023.7.22 cffi-1.15.1 charset-normalizer-3.2.0 cloudpickle-2.2.1 crcmod-1.7 cryptography-41.0.3 deprecation-2.1.0 dill-0.3.1.1 dnspython-2.4.2 docker-6.1.3 docopt-0.6.2 exceptiongroup-1.1.3 execnet-2.0.2 fastavro-1.8.2 fasteners-0.18 freezegun-1.2.2 google-api-core-2.12.0.dev1 google-apitools-0.5.31 google-auth-2.22.0 google-auth-httplib2-0.1.0 google-cloud-aiplatform-1.31.1 google-cloud-bigquery-3.11.4 google-cloud-bigquery-storage-2.22.0 google-cloud-bigtable-2.21.0 google-cloud-core-2.3.3 google-cloud-datastore-2.17.0 google-cloud-dlp-3.12.2 google-cloud-language-2.11.0 google-cloud-pubsub-2.18.3 google-cloud-pubsublite-1.8.3 google-cloud-recommendations-ai-0.10.4 google-cloud-resource-manager-1.10.3 google-cloud-spanner-3.40.1 google-cloud-storage-2.10.0 google-cloud-videointelligence-2.11.3 google-cloud-vision-3.4.4 google-crc32c-1.5.0 google-resumable-media-2.5.0 googleapis-common-protos-1.60.0 greenlet-3.0.0a1 grpc-google-iam-v1-0.12.6 grpcio-status-1.58.0rc1 hdfs-2.7.2 httplib2-0.22.0 hypothesis-6.83.0 idna-3.4 iniconfig-2.0.0 isodate-0.6.1 jmespath-1.0.1 joblib-1.3.2 mock-5.1.0 msal-1.24.0b1 msal-extensions-1.0.0 oauth2client-4.1.3 objsize-0.6.1 orjson-3.9.5 overrides-6.5.0 pandas-1.5.3 parameterized-0.9.0 portalocker-2.7.0 proto-plus-1.22.3 protobuf-4.23.4 psycopg2-binary-2.9.7 pyarrow-11.0.0 pyasn1-0.5.0 pyasn1-modules-0.3.0 pycparser-2.21 pydot-1.4.2 pyhamcrest-2.0.4 pymongo-4.5.0 pymysql-1.1.0 pyparsing-3.1.1 pytest-7.4.0 pytest-timeout-2.1.0 pytest-xdist-3.3.1 python-dateutil-2.8.2 pytz-2023.3 pyyaml-6.0.1 regex-2023.8.8 requests-2.31.0 requests_mock-1.11.0 rsa-4.9 s3transfer-0.6.2 scikit-learn-1.3.0 scipy-1.10.1 shapely-1.8.5.post1 six-1.16.0 sortedcontainers-2.4.0 sqlalchemy-1.4.49 sqlparse-0.4.4 tenacity-8.2.3 testcontainers-3.7.1 threadpoolctl-3.2.0 urllib3-1.26.16 websocket-client-1.6.2 wrapt-1.15.0 zstandard-0.21.0
> Task :sdks:python:apache_beam:testing:load_tests:run
INFO:apache_beam.runners.portability.stager:Copying Beam SDK "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/build/apache-beam.tar.gz"> 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 https://cloud.google.com/dataflow/docs/guides/using-custom-containers#prebuild
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717" for Docker environment
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/smoketests/load-tests-python-dataflow-streaming-combine-1-0901125349.1693580888.962600/dataflow_python_sdk.tar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0901125349.1693580888.962600/dataflow_python_sdk.tar in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0901125349.1693580888.962600/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0901125349.1693580888.962600/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20230901150808963632-4733'
createTime: '2023-09-01T15:08:10.116972Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2023-09-01_08_08_09-4639791401496880020'
location: 'us-central1'
name: 'load-tests-python-dataflow-streaming-combine-1-0901125349'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2023-09-01T15:08:10.116972Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-09-01_08_08_09-4639791401496880020]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-09-01_08_08_09-4639791401496880020
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-09-01_08_08_09-4639791401496880020?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-09-01_08_08_09-4639791401496880020 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-09-01T15:08:15.471Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-c.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-09-01T15:08:17.520Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-09-01T15:08:17.833Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-c...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-09-01_08_08_09-4639791401496880020 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-09-01T15:08:39.645Z: 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:Job 2023-09-01_08_08_09-4639791401496880020 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-09-01T20:00:55.035Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2023-09-01_08_08_09-4639791401496880020.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-09-01T20:00:55.311Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-09-01T20:00:55.353Z: JOB_MESSAGE_BASIC: Stopping **** pool...
Traceback (most recent call last):
File "/usr/lib/python3.8/runpy.py", line 194, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/usr/lib/python3.8/runpy.py", line 87, 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 757, in wait_until_finish
assert duration or terminated, (
AssertionError: Job did not reach to a terminal state after waiting indefinitely. Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2023-09-01_08_08_09-4639791401496880020?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: 63
* 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/7.6.2/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 4h 55m 14s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date
Publishing build scan...
https://ge.apache.org/s/64ppdxfrw7wog
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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Build failed in Jenkins: beam_LoadTests_Python_Combine_Dataflow_Streaming #1103
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/1103/display/redirect>
Changes:
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Building wheels for collected packages: apache-beam
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Installing collected packages: sortedcontainers, pytz, docopt, crcmod, zstandard, wrapt, websocket-client, urllib3, threadpoolctl, tenacity, sqlparse, six, shapely, scipy, regex, pyyaml, pyparsing, pymysql, PyJWT, pyhamcrest, pycparser, pyasn1, pyarrow, psycopg2-binary, protobuf, portalocker, parameterized, overrides, orjson, objsize, mock, joblib, jmespath, iniconfig, idna, greenlet, google-crc32c, fasteners, fastavro, execnet, exceptiongroup, dnspython, dill, deprecation, cloudpickle, charset-normalizer, certifi, attrs, sqlalchemy, scikit-learn, rsa, requests, python-dateutil, pytest, pymongo, pydot, pyasn1-modules, proto-plus, isodate, hypothesis, httplib2, googleapis-common-protos, google-resumable-media, cffi, requests_mock, pytest-xdist, pytest-timeout, pandas, oauth2client, hdfs, grpcio-status, google-auth, freezegun, docker, cryptography, botocore, azure-core, testcontainers, s3transfer, grpc-google-iam-v1, google-auth-httplib2, google-apitools, google-api-core, azure-storage-blob, apache-beam, msal, google-cloud-core, boto3, msal-extensions, google-cloud-vision, google-cloud-videointelligence, google-cloud-storage, google-cloud-spanner, google-cloud-resource-manager, google-cloud-recommendations-ai, google-cloud-pubsub, google-cloud-language, google-cloud-dlp, google-cloud-datastore, google-cloud-bigtable, google-cloud-bigquery-storage, google-cloud-bigquery, google-cloud-pubsublite, google-cloud-aiplatform, azure-identity
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> Task :sdks:python:apache_beam:testing:load_tests:run
INFO:apache_beam.runners.portability.stager:Copying Beam SDK "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/build/apache-beam.tar.gz"> 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 https://cloud.google.com/dataflow/docs/guides/using-custom-containers#prebuild
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717" for Docker environment
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/smoketests/load-tests-python-dataflow-streaming-combine-1-0831125351.1693494526.908087/dataflow_python_sdk.tar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0831125351.1693494526.908087/dataflow_python_sdk.tar in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0831125351.1693494526.908087/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0831125351.1693494526.908087/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20230831150846909169-1453'
createTime: '2023-08-31T15:08:47.826830Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2023-08-31_08_08_47-1213101763353863110'
location: 'us-central1'
name: 'load-tests-python-dataflow-streaming-combine-1-0831125351'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2023-08-31T15:08:47.826830Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-08-31_08_08_47-1213101763353863110]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-08-31_08_08_47-1213101763353863110
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-08-31_08_08_47-1213101763353863110?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-08-31_08_08_47-1213101763353863110 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-31T15:08:53.325Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-f.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-31T15:08:55.585Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-31T15:08:55.828Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-f...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-08-31_08_08_47-1213101763353863110 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-31T15:09:14.841Z: 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
ERROR:apache_beam.runners.dataflow.dataflow_runner:2023-08-31T18:25:17.627Z: JOB_MESSAGE_ERROR: generic::aborted: SDK harness sdk-0-0 disconnected. This usually means that the process running the pipeline code has crashed. Inspect the Worker Logs and the Diagnostics tab to determine the cause of the crash.
with MessageCode:
(f3cbe7d85813c08b): SDK disconnect.
passed through:
==>
dist_proc/dax/workflow/****/fnapi_control_service.cc:215
generic::aborted: SDK harness sdk-0-0_sibling_1 disconnected. This usually means that the process running the pipeline code has crashed. Inspect the Worker Logs and the Diagnostics tab to determine the cause of the crash.
with MessageCode:
(96fee1698668f660): SDK disconnect.
passed through:
==>
dist_proc/dax/workflow/****/fnapi_control_service.cc:215
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-31T20:10:37.627Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2023-08-31_08_08_47-1213101763353863110.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-31T20:10:37.724Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-31T20:10:37.761Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-08-31_08_08_47-1213101763353863110 is in state JOB_STATE_CANCELLING
Traceback (most recent call last):
File "/usr/lib/python3.8/runpy.py", line 194, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/usr/lib/python3.8/runpy.py", line 87, 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 757, in wait_until_finish
assert duration or terminated, (
AssertionError: Job did not reach to a terminal state after waiting indefinitely. Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2023-08-31_08_08_47-1213101763353863110?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: 63
* 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/7.6.2/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 5h 4m 12s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date
Publishing build scan...
https://ge.apache.org/s/ovcx64aapq6y6
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
---------------------------------------------------------------------
To unsubscribe, e-mail: builds-unsubscribe@beam.apache.org
For additional commands, e-mail: builds-help@beam.apache.org
Build failed in Jenkins: beam_LoadTests_Python_Combine_Dataflow_Streaming #1102
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/1102/display/redirect>
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Building wheels for collected packages: apache-beam
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Found existing installation: protobuf 4.24.2
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> Task :sdks:python:apache_beam:testing:load_tests:run
INFO:apache_beam.runners.portability.stager:Copying Beam SDK "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/build/apache-beam.tar.gz"> 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 https://cloud.google.com/dataflow/docs/guides/using-custom-containers#prebuild
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717" for Docker environment
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/smoketests/load-tests-python-dataflow-streaming-combine-1-0830125355.1693408068.156239/dataflow_python_sdk.tar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0830125355.1693408068.156239/dataflow_python_sdk.tar in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0830125355.1693408068.156239/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0830125355.1693408068.156239/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20230830150748157175-7753'
createTime: '2023-08-30T15:07:49.129443Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2023-08-30_08_07_48-9134753419741292426'
location: 'us-central1'
name: 'load-tests-python-dataflow-streaming-combine-1-0830125355'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2023-08-30T15:07:49.129443Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-08-30_08_07_48-9134753419741292426]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-08-30_08_07_48-9134753419741292426
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-08-30_08_07_48-9134753419741292426?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-08-30_08_07_48-9134753419741292426 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-30T15:07:56.578Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-a.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-30T15:08:04.051Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-30T15:08:04.306Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-a...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-08-30_08_07_48-9134753419741292426 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-30T15:08:28.175Z: 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:Job 2023-08-30_08_07_48-9134753419741292426 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-30T20:10:35.756Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2023-08-30_08_07_48-9134753419741292426.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-30T20:10:35.886Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-30T20:10:35.938Z: JOB_MESSAGE_BASIC: Stopping **** pool...
Traceback (most recent call last):
File "/usr/lib/python3.8/runpy.py", line 194, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/usr/lib/python3.8/runpy.py", line 87, 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 757, in wait_until_finish
assert duration or terminated, (
AssertionError: Job did not reach to a terminal state after waiting indefinitely. Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2023-08-30_08_07_48-9134753419741292426?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: 63
* 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/7.6.2/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 5h 4m 56s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date
Publishing build scan...
https://ge.apache.org/s/vhqtvf2chsw7y
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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Build failed in Jenkins: beam_LoadTests_Python_Combine_Dataflow_Streaming #1101
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/1101/display/redirect>
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Building wheels for collected packages: apache-beam
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Installing collected packages: sortedcontainers, pytz, docopt, crcmod, zstandard, wrapt, websocket-client, urllib3, threadpoolctl, tenacity, sqlparse, six, shapely, scipy, regex, pyyaml, pyparsing, pymysql, PyJWT, pyhamcrest, pycparser, pyasn1, pyarrow, psycopg2-binary, protobuf, portalocker, parameterized, overrides, orjson, objsize, mock, joblib, jmespath, iniconfig, idna, greenlet, google-crc32c, fasteners, fastavro, execnet, exceptiongroup, dnspython, dill, deprecation, cloudpickle, charset-normalizer, certifi, attrs, sqlalchemy, scikit-learn, rsa, requests, python-dateutil, pytest, pymongo, pydot, pyasn1-modules, proto-plus, isodate, hypothesis, httplib2, googleapis-common-protos, google-resumable-media, cffi, requests_mock, pytest-xdist, pytest-timeout, pandas, oauth2client, hdfs, grpcio-status, google-auth, freezegun, docker, cryptography, botocore, azure-core, testcontainers, s3transfer, grpc-google-iam-v1, google-auth-httplib2, google-apitools, google-api-core, azure-storage-blob, apache-beam, msal, google-cloud-core, boto3, msal-extensions, google-cloud-vision, google-cloud-videointelligence, google-cloud-storage, google-cloud-spanner, google-cloud-resource-manager, google-cloud-recommendations-ai, google-cloud-pubsub, google-cloud-language, google-cloud-dlp, google-cloud-datastore, google-cloud-bigtable, google-cloud-bigquery-storage, google-cloud-bigquery, google-cloud-pubsublite, google-cloud-aiplatform, azure-identity
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> Task :sdks:python:apache_beam:testing:load_tests:run
INFO:apache_beam.runners.portability.stager:Copying Beam SDK "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/build/apache-beam.tar.gz"> 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 https://cloud.google.com/dataflow/docs/guides/using-custom-containers#prebuild
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717" for Docker environment
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/smoketests/load-tests-python-dataflow-streaming-combine-1-0829125353.1693321674.786066/dataflow_python_sdk.tar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0829125353.1693321674.786066/dataflow_python_sdk.tar in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0829125353.1693321674.786066/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0829125353.1693321674.786066/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
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createTime: '2023-08-29T15:07:55.806200Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2023-08-29_08_07_55-13409799506349067533'
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name: 'load-tests-python-dataflow-streaming-combine-1-0829125353'
projectId: 'apache-beam-testing'
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INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-08-29_08_07_55-13409799506349067533]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-08-29_08_07_55-13409799506349067533
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-08-29_08_07_55-13409799506349067533?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-08-29_08_07_55-13409799506349067533 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-29T15:08:01.943Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-f.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-29T15:08:04.109Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-29T15:08:04.432Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-f...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-08-29_08_07_55-13409799506349067533 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-29T15:08:37.377Z: 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:Job 2023-08-29_08_07_55-13409799506349067533 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-29T20:01:15.971Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2023-08-29_08_07_55-13409799506349067533.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-29T20:01:16.129Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-29T20:01:16.173Z: JOB_MESSAGE_BASIC: Stopping **** pool...
Traceback (most recent call last):
File "/usr/lib/python3.8/runpy.py", line 194, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/usr/lib/python3.8/runpy.py", line 87, 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 757, in wait_until_finish
assert duration or terminated, (
AssertionError: Job did not reach to a terminal state after waiting indefinitely. Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2023-08-29_08_07_55-13409799506349067533?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: 63
* 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/7.6.2/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 4h 55m 10s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date
Publishing build scan...
https://ge.apache.org/s/645k7lh2i3jeu
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
---------------------------------------------------------------------
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Build failed in Jenkins: beam_LoadTests_Python_Combine_Dataflow_Streaming #1100
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/1100/display/redirect>
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Building wheels for collected packages: apache-beam
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> Task :sdks:python:apache_beam:testing:load_tests:run
INFO:apache_beam.runners.portability.stager:Copying Beam SDK "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/build/apache-beam.tar.gz"> 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 https://cloud.google.com/dataflow/docs/guides/using-custom-containers#prebuild
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717" for Docker environment
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/smoketests/load-tests-python-dataflow-streaming-combine-1-0828125351.1693235293.887050/dataflow_python_sdk.tar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0828125351.1693235293.887050/dataflow_python_sdk.tar in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0828125351.1693235293.887050/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0828125351.1693235293.887050/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20230828150813888067-3472'
createTime: '2023-08-28T15:08:15.028121Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2023-08-28_08_08_14-15623451970542356506'
location: 'us-central1'
name: 'load-tests-python-dataflow-streaming-combine-1-0828125351'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2023-08-28T15:08:15.028121Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-08-28_08_08_14-15623451970542356506]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-08-28_08_08_14-15623451970542356506
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-08-28_08_08_14-15623451970542356506?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-08-28_08_08_14-15623451970542356506 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-28T15:08:21.003Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-c.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-28T15:08:22.849Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-28T15:08:23.111Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-c...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-08-28_08_08_14-15623451970542356506 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-28T15:08:50.858Z: 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:2023-08-28T20:00:44.148Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2023-08-28_08_08_14-15623451970542356506.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-28T20:00:44.274Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-28T20:00:44.316Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-08-28_08_08_14-15623451970542356506 is in state JOB_STATE_CANCELLING
Traceback (most recent call last):
File "/usr/lib/python3.8/runpy.py", line 194, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/usr/lib/python3.8/runpy.py", line 87, 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 757, in wait_until_finish
assert duration or terminated, (
AssertionError: Job did not reach to a terminal state after waiting indefinitely. Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2023-08-28_08_08_14-15623451970542356506?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: 63
* 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/7.6.2/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 4h 54m 58s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date
Publishing build scan...
https://ge.apache.org/s/mmmqpnnhjlvnq
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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Build failed in Jenkins: beam_LoadTests_Python_Combine_Dataflow_Streaming #1099
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/1099/display/redirect>
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Building wheels for collected packages: apache-beam
Building wheel for apache-beam (setup.py): started
Building wheel for apache-beam (setup.py): finished with status 'done'
Created wheel for apache-beam: filename=apache_beam-2.51.0.dev0-py3-none-any.whl size=3269190 sha256=2aa0927c89768366be7c53c5f73e9efe2827954f331c3c606d1eb75e3911d9a1
Stored in directory: /home/jenkins/.cache/pip/wheels/67/34/b8/5adce605a0a3f10491be234729fa4854c6a127bc01194f13fc
Successfully built apache-beam
Installing collected packages: sortedcontainers, pytz, docopt, crcmod, zstandard, wrapt, websocket-client, urllib3, typing-extensions, threadpoolctl, tenacity, sqlparse, six, shapely, scipy, regex, pyyaml, pyparsing, pymysql, PyJWT, pyhamcrest, pycparser, pyasn1, pyarrow, psycopg2-binary, protobuf, portalocker, parameterized, overrides, orjson, objsize, mock, joblib, jmespath, iniconfig, idna, greenlet, google-crc32c, fasteners, fastavro, execnet, exceptiongroup, dnspython, dill, deprecation, cloudpickle, charset-normalizer, certifi, attrs, sqlalchemy, scikit-learn, rsa, requests, python-dateutil, pytest, pymongo, pydot, pyasn1-modules, proto-plus, isodate, hypothesis, httplib2, googleapis-common-protos, google-resumable-media, cffi, requests_mock, pytest-xdist, pytest-timeout, pandas, oauth2client, hdfs, grpcio-status, google-auth, freezegun, docker, cryptography, botocore, azure-core, testcontainers, s3transfer, grpc-google-iam-v1, google-auth-httplib2, google-apitools, google-api-core, azure-storage-blob, apache-beam, msal, google-cloud-core, boto3, msal-extensions, google-cloud-vision, google-cloud-videointelligence, google-cloud-storage, google-cloud-spanner, google-cloud-resource-manager, google-cloud-recommendations-ai, google-cloud-pubsub, google-cloud-language, google-cloud-dlp, google-cloud-datastore, google-cloud-bigtable, google-cloud-bigquery-storage, google-cloud-bigquery, google-cloud-pubsublite, google-cloud-aiplatform, azure-identity
Attempting uninstall: protobuf
Found existing installation: protobuf 4.24.2
Uninstalling protobuf-4.24.2:
Successfully uninstalled protobuf-4.24.2
Successfully installed PyJWT-2.8.0 apache-beam-2.51.0.dev0 attrs-23.1.0 azure-core-1.29.3 azure-identity-1.14.0 azure-storage-blob-12.18.0b1 boto3-1.28.35 botocore-1.31.35 certifi-2023.7.22 cffi-1.15.1 charset-normalizer-3.2.0 cloudpickle-2.2.1 crcmod-1.7 cryptography-41.0.3 deprecation-2.1.0 dill-0.3.1.1 dnspython-2.4.2 docker-6.1.3 docopt-0.6.2 exceptiongroup-1.1.3 execnet-2.0.2 fastavro-1.8.2 fasteners-0.18 freezegun-1.2.2 google-api-core-2.12.0.dev1 google-apitools-0.5.31 google-auth-2.22.0 google-auth-httplib2-0.1.0 google-cloud-aiplatform-1.31.1 google-cloud-bigquery-3.11.4 google-cloud-bigquery-storage-2.22.0 google-cloud-bigtable-2.21.0 google-cloud-core-2.3.3 google-cloud-datastore-2.17.0 google-cloud-dlp-3.12.2 google-cloud-language-2.11.0 google-cloud-pubsub-2.18.3 google-cloud-pubsublite-1.8.3 google-cloud-recommendations-ai-0.10.4 google-cloud-resource-manager-1.10.3 google-cloud-spanner-3.40.1 google-cloud-storage-2.10.0 google-cloud-videointelligence-2.11.3 google-cloud-vision-3.4.4 google-crc32c-1.5.0 google-resumable-media-2.5.0 googleapis-common-protos-1.60.0 greenlet-3.0.0a1 grpc-google-iam-v1-0.12.6 grpcio-status-1.58.0rc1 hdfs-2.7.2 httplib2-0.22.0 hypothesis-6.82.6 idna-3.4 iniconfig-2.0.0 isodate-0.6.1 jmespath-1.0.1 joblib-1.3.2 mock-5.1.0 msal-1.24.0b1 msal-extensions-1.0.0 oauth2client-4.1.3 objsize-0.6.1 orjson-3.9.5 overrides-6.5.0 pandas-1.5.3 parameterized-0.9.0 portalocker-2.7.0 proto-plus-1.22.3 protobuf-4.23.4 psycopg2-binary-2.9.7 pyarrow-11.0.0 pyasn1-0.5.0 pyasn1-modules-0.3.0 pycparser-2.21 pydot-1.4.2 pyhamcrest-2.0.4 pymongo-4.5.0 pymysql-1.1.0 pyparsing-3.1.1 pytest-7.4.0 pytest-timeout-2.1.0 pytest-xdist-3.3.1 python-dateutil-2.8.2 pytz-2023.3 pyyaml-6.0.1 regex-2023.8.8 requests-2.31.0 requests_mock-1.11.0 rsa-4.9 s3transfer-0.6.2 scikit-learn-1.3.0 scipy-1.10.1 shapely-1.8.5.post1 six-1.16.0 sortedcontainers-2.4.0 sqlalchemy-1.4.49 sqlparse-0.4.4 tenacity-8.2.3 testcontainers-3.7.1 threadpoolctl-3.2.0 typing-extensions-4.7.1 urllib3-1.26.16 websocket-client-1.6.2 wrapt-1.15.0 zstandard-0.21.0
> Task :sdks:python:apache_beam:testing:load_tests:run
INFO:apache_beam.runners.portability.stager:Copying Beam SDK "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/build/apache-beam.tar.gz"> 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 https://cloud.google.com/dataflow/docs/guides/using-custom-containers#prebuild
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717" for Docker environment
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/smoketests/load-tests-python-dataflow-streaming-combine-1-0827125347.1693148870.963544/dataflow_python_sdk.tar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0827125347.1693148870.963544/dataflow_python_sdk.tar in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0827125347.1693148870.963544/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0827125347.1693148870.963544/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20230827150750964518-2206'
createTime: '2023-08-27T15:07:51.976825Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2023-08-27_08_07_51-17761939501690002273'
location: 'us-central1'
name: 'load-tests-python-dataflow-streaming-combine-1-0827125347'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2023-08-27T15:07:51.976825Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-08-27_08_07_51-17761939501690002273]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-08-27_08_07_51-17761939501690002273
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-08-27_08_07_51-17761939501690002273?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-08-27_08_07_51-17761939501690002273 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-27T15:07:56.813Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-27T15:07:58.963Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-27T15:07:59.249Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-08-27_08_07_51-17761939501690002273 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-27T15:08:29.818Z: 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:2023-08-27T20:00:40.631Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2023-08-27_08_07_51-17761939501690002273.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-27T20:00:40.753Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-27T20:00:40.792Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-08-27_08_07_51-17761939501690002273 is in state JOB_STATE_CANCELLING
Traceback (most recent call last):
File "/usr/lib/python3.8/runpy.py", line 194, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/usr/lib/python3.8/runpy.py", line 87, 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 757, in wait_until_finish
assert duration or terminated, (
AssertionError: Job did not reach to a terminal state after waiting indefinitely. Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2023-08-27_08_07_51-17761939501690002273?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: 63
* 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.
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Installing collected packages: sortedcontainers, pytz, docopt, crcmod, zstandard, wrapt, websocket-client, urllib3, typing-extensions, threadpoolctl, tenacity, sqlparse, six, shapely, scipy, regex, pyyaml, pyparsing, pymysql, PyJWT, pyhamcrest, pycparser, pyasn1, pyarrow, psycopg2-binary, protobuf, portalocker, parameterized, overrides, orjson, objsize, mock, joblib, jmespath, iniconfig, idna, greenlet, google-crc32c, fasteners, fastavro, execnet, exceptiongroup, dnspython, dill, deprecation, cloudpickle, charset-normalizer, certifi, attrs, sqlalchemy, scikit-learn, rsa, requests, python-dateutil, pytest, pymongo, pydot, pyasn1-modules, proto-plus, isodate, hypothesis, httplib2, googleapis-common-protos, google-resumable-media, cffi, requests_mock, pytest-xdist, pytest-timeout, pandas, oauth2client, hdfs, grpcio-status, google-auth, freezegun, docker, cryptography, botocore, azure-core, testcontainers, s3transfer, grpc-google-iam-v1, google-auth-httplib2, google-apitools, google-api-core, azure-storage-blob, apache-beam, msal, google-cloud-core, boto3, msal-extensions, google-cloud-vision, google-cloud-videointelligence, google-cloud-storage, google-cloud-spanner, google-cloud-resource-manager, google-cloud-recommendations-ai, google-cloud-pubsub, google-cloud-language, google-cloud-dlp, google-cloud-datastore, google-cloud-bigtable, google-cloud-bigquery-storage, google-cloud-bigquery, google-cloud-pubsublite, google-cloud-aiplatform, azure-identity
Attempting uninstall: protobuf
Found existing installation: protobuf 4.24.2
Uninstalling protobuf-4.24.2:
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> Task :sdks:python:apache_beam:testing:load_tests:run
INFO:apache_beam.runners.portability.stager:Copying Beam SDK "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/build/apache-beam.tar.gz"> 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 https://cloud.google.com/dataflow/docs/guides/using-custom-containers#prebuild
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717" for Docker environment
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/smoketests/load-tests-python-dataflow-streaming-combine-1-0826125344.1693062470.755731/dataflow_python_sdk.tar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0826125344.1693062470.755731/dataflow_python_sdk.tar in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0826125344.1693062470.755731/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0826125344.1693062470.755731/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20230826150750756705-8048'
createTime: '2023-08-26T15:07:51.704570Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2023-08-26_08_07_51-9800544226793391506'
location: 'us-central1'
name: 'load-tests-python-dataflow-streaming-combine-1-0826125344'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2023-08-26T15:07:51.704570Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-08-26_08_07_51-9800544226793391506]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-08-26_08_07_51-9800544226793391506
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-08-26_08_07_51-9800544226793391506?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-08-26_08_07_51-9800544226793391506 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-26T15:07:57.683Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-26T15:07:59.903Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-26T15:08:00.171Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-08-26_08_07_51-9800544226793391506 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-26T15:08:17.788Z: 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:Job 2023-08-26_08_07_51-9800544226793391506 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-26T20:01:15.443Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2023-08-26_08_07_51-9800544226793391506.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-26T20:01:15.564Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-26T20:01:15.612Z: JOB_MESSAGE_BASIC: Stopping **** pool...
Traceback (most recent call last):
File "/usr/lib/python3.8/runpy.py", line 194, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/usr/lib/python3.8/runpy.py", line 87, 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 757, in wait_until_finish
assert duration or terminated, (
AssertionError: Job did not reach to a terminal state after waiting indefinitely. Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2023-08-26_08_07_51-9800544226793391506?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: 63
* 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/7.6.2/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 4h 55m 10s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date
Publishing build scan...
https://ge.apache.org/s/petr73fetxhms
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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Build failed in Jenkins: beam_LoadTests_Python_Combine_Dataflow_Streaming #1097
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/1097/display/redirect>
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Building wheels for collected packages: apache-beam
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Installing collected packages: sortedcontainers, pytz, docopt, crcmod, zstandard, wrapt, websocket-client, urllib3, typing-extensions, threadpoolctl, tenacity, sqlparse, six, shapely, scipy, regex, pyyaml, pyparsing, pymysql, PyJWT, pyhamcrest, pycparser, pyasn1, pyarrow, psycopg2-binary, protobuf, portalocker, parameterized, overrides, orjson, objsize, mock, joblib, jmespath, iniconfig, idna, greenlet, google-crc32c, fasteners, fastavro, execnet, exceptiongroup, dnspython, dill, deprecation, cloudpickle, charset-normalizer, certifi, attrs, sqlalchemy, scikit-learn, rsa, requests, python-dateutil, pytest, pymongo, pydot, pyasn1-modules, proto-plus, isodate, hypothesis, httplib2, googleapis-common-protos, google-resumable-media, cffi, requests_mock, pytest-xdist, pytest-timeout, pandas, oauth2client, hdfs, grpcio-status, google-auth, freezegun, docker, cryptography, botocore, azure-core, testcontainers, s3transfer, grpc-google-iam-v1, google-auth-httplib2, google-apitools, google-api-core, azure-storage-blob, apache-beam, msal, google-cloud-core, boto3, msal-extensions, google-cloud-vision, google-cloud-videointelligence, google-cloud-storage, google-cloud-spanner, google-cloud-resource-manager, google-cloud-recommendations-ai, google-cloud-pubsub, google-cloud-language, google-cloud-dlp, google-cloud-datastore, google-cloud-bigtable, google-cloud-bigquery-storage, google-cloud-bigquery, google-cloud-pubsublite, google-cloud-aiplatform, azure-identity
Attempting uninstall: protobuf
Found existing installation: protobuf 4.24.1
Uninstalling protobuf-4.24.1:
Successfully uninstalled protobuf-4.24.1
Successfully installed PyJWT-2.8.0 apache-beam-2.51.0.dev0 attrs-23.1.0 azure-core-1.29.3 azure-identity-1.14.0 azure-storage-blob-12.18.0b1 boto3-1.28.34 botocore-1.31.34 certifi-2023.7.22 cffi-1.15.1 charset-normalizer-3.2.0 cloudpickle-2.2.1 crcmod-1.7 cryptography-41.0.3 deprecation-2.1.0 dill-0.3.1.1 dnspython-2.4.2 docker-6.1.3 docopt-0.6.2 exceptiongroup-1.1.3 execnet-2.0.2 fastavro-1.8.2 fasteners-0.18 freezegun-1.2.2 google-api-core-2.12.0.dev1 google-apitools-0.5.31 google-auth-2.22.0 google-auth-httplib2-0.1.0 google-cloud-aiplatform-1.31.0 google-cloud-bigquery-3.11.4 google-cloud-bigquery-storage-2.22.0 google-cloud-bigtable-2.21.0 google-cloud-core-2.3.3 google-cloud-datastore-2.17.0 google-cloud-dlp-3.12.2 google-cloud-language-2.11.0 google-cloud-pubsub-2.18.3 google-cloud-pubsublite-1.8.3 google-cloud-recommendations-ai-0.10.4 google-cloud-resource-manager-1.10.3 google-cloud-spanner-3.40.1 google-cloud-storage-2.10.0 google-cloud-videointelligence-2.11.3 google-cloud-vision-3.4.4 google-crc32c-1.5.0 google-resumable-media-2.5.0 googleapis-common-protos-1.60.0 greenlet-3.0.0a1 grpc-google-iam-v1-0.12.6 grpcio-status-1.57.0 hdfs-2.7.2 httplib2-0.22.0 hypothesis-6.82.6 idna-3.4 iniconfig-2.0.0 isodate-0.6.1 jmespath-1.0.1 joblib-1.3.2 mock-5.1.0 msal-1.24.0b1 msal-extensions-1.0.0 oauth2client-4.1.3 objsize-0.6.1 orjson-3.9.5 overrides-6.5.0 pandas-1.5.3 parameterized-0.9.0 portalocker-2.7.0 proto-plus-1.22.3 protobuf-4.23.4 psycopg2-binary-2.9.7 pyarrow-11.0.0 pyasn1-0.5.0 pyasn1-modules-0.3.0 pycparser-2.21 pydot-1.4.2 pyhamcrest-2.0.4 pymongo-4.5.0 pymysql-1.1.0 pyparsing-3.1.1 pytest-7.4.0 pytest-timeout-2.1.0 pytest-xdist-3.3.1 python-dateutil-2.8.2 pytz-2023.3 pyyaml-6.0.1 regex-2023.8.8 requests-2.31.0 requests_mock-1.11.0 rsa-4.9 s3transfer-0.6.2 scikit-learn-1.3.0 scipy-1.10.1 shapely-1.8.5.post1 six-1.16.0 sortedcontainers-2.4.0 sqlalchemy-1.4.49 sqlparse-0.4.4 tenacity-8.2.3 testcontainers-3.7.1 threadpoolctl-3.2.0 typing-extensions-4.7.1 urllib3-1.26.16 websocket-client-1.6.2 wrapt-1.15.0 zstandard-0.21.0
> Task :sdks:python:apache_beam:testing:load_tests:run
INFO:apache_beam.runners.portability.stager:Copying Beam SDK "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/build/apache-beam.tar.gz"> 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 https://cloud.google.com/dataflow/docs/guides/using-custom-containers#prebuild
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717" for Docker environment
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/smoketests/load-tests-python-dataflow-streaming-combine-1-0825125349.1692976066.781166/dataflow_python_sdk.tar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0825125349.1692976066.781166/dataflow_python_sdk.tar in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0825125349.1692976066.781166/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0825125349.1692976066.781166/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20230825150746782131-7268'
createTime: '2023-08-25T15:07:47.827923Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2023-08-25_08_07_47-4044771558271621633'
location: 'us-central1'
name: 'load-tests-python-dataflow-streaming-combine-1-0825125349'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2023-08-25T15:07:47.827923Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-08-25_08_07_47-4044771558271621633]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-08-25_08_07_47-4044771558271621633
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-08-25_08_07_47-4044771558271621633?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-08-25_08_07_47-4044771558271621633 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-25T15:07:53.982Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-25T15:07:55.900Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-25T15:07:56.178Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-08-25_08_07_47-4044771558271621633 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-25T15:08:18.182Z: 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:Job 2023-08-25_08_07_47-4044771558271621633 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-25T20:00:53.859Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2023-08-25_08_07_47-4044771558271621633.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-25T20:00:54.005Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-25T20:00:54.043Z: JOB_MESSAGE_BASIC: Stopping **** pool...
Traceback (most recent call last):
File "/usr/lib/python3.8/runpy.py", line 194, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/usr/lib/python3.8/runpy.py", line 87, 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 757, in wait_until_finish
assert duration or terminated, (
AssertionError: Job did not reach to a terminal state after waiting indefinitely. Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2023-08-25_08_07_47-4044771558271621633?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: 63
* 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/7.6.2/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 4h 55m 15s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date
Publishing build scan...
https://ge.apache.org/s/gmcwqspcmxluq
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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Build failed in Jenkins: beam_LoadTests_Python_Combine_Dataflow_Streaming #1096
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/1096/display/redirect>
Changes:
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Obtaining dependency information for googleapis-common-protos<2.0.dev0,>=1.56.2 from https://files.pythonhosted.org/packages/a7/bc/416a1ffeba4dcd072bc10523dac9ed97f2e7fc4b760580e2bdbdc1e2afdd/googleapis_common_protos-1.60.0-py2.py3-none-any.whl.metadata
Using cached googleapis_common_protos-1.60.0-py2.py3-none-any.whl.metadata (1.5 kB)
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Building wheels for collected packages: apache-beam
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Installing collected packages: sortedcontainers, pytz, docopt, crcmod, zstandard, wrapt, websocket-client, urllib3, typing-extensions, threadpoolctl, tenacity, sqlparse, six, shapely, scipy, regex, pyyaml, pyparsing, pymysql, PyJWT, pyhamcrest, pycparser, pyasn1, pyarrow, psycopg2-binary, protobuf, portalocker, parameterized, overrides, orjson, objsize, mock, joblib, jmespath, iniconfig, idna, greenlet, google-crc32c, fasteners, fastavro, execnet, exceptiongroup, dnspython, dill, deprecation, cloudpickle, charset-normalizer, certifi, attrs, sqlalchemy, scikit-learn, rsa, requests, python-dateutil, pytest, pymongo, pydot, pyasn1-modules, proto-plus, isodate, hypothesis, httplib2, googleapis-common-protos, google-resumable-media, cffi, requests_mock, pytest-xdist, pytest-timeout, pandas, oauth2client, hdfs, grpcio-status, google-auth, freezegun, docker, cryptography, botocore, azure-core, testcontainers, s3transfer, grpc-google-iam-v1, google-auth-httplib2, google-apitools, google-api-core, azure-storage-blob, apache-beam, msal, google-cloud-core, boto3, msal-extensions, google-cloud-vision, google-cloud-videointelligence, google-cloud-storage, google-cloud-spanner, google-cloud-resource-manager, google-cloud-recommendations-ai, google-cloud-pubsub, google-cloud-language, google-cloud-dlp, google-cloud-datastore, google-cloud-bigtable, google-cloud-bigquery-storage, google-cloud-bigquery, google-cloud-pubsublite, google-cloud-aiplatform, azure-identity
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Successfully installed PyJWT-2.8.0 apache-beam-2.51.0.dev0 attrs-23.1.0 azure-core-1.29.3 azure-identity-1.14.0 azure-storage-blob-12.18.0b1 boto3-1.28.33 botocore-1.31.33 certifi-2023.7.22 cffi-1.15.1 charset-normalizer-3.2.0 cloudpickle-2.2.1 crcmod-1.7 cryptography-41.0.3 deprecation-2.1.0 dill-0.3.1.1 dnspython-2.4.2 docker-6.1.3 docopt-0.6.2 exceptiongroup-1.1.3 execnet-2.0.2 fastavro-1.8.2 fasteners-0.18 freezegun-1.2.2 google-api-core-2.12.0.dev1 google-apitools-0.5.31 google-auth-2.22.0 google-auth-httplib2-0.1.0 google-cloud-aiplatform-1.31.0 google-cloud-bigquery-3.11.4 google-cloud-bigquery-storage-2.22.0 google-cloud-bigtable-2.21.0 google-cloud-core-2.3.3 google-cloud-datastore-2.17.0 google-cloud-dlp-3.12.2 google-cloud-language-2.11.0 google-cloud-pubsub-2.18.3 google-cloud-pubsublite-1.8.3 google-cloud-recommendations-ai-0.10.4 google-cloud-resource-manager-1.10.3 google-cloud-spanner-3.40.1 google-cloud-storage-2.10.0 google-cloud-videointelligence-2.11.3 google-cloud-vision-3.4.4 google-crc32c-1.5.0 google-resumable-media-2.5.0 googleapis-common-protos-1.60.0 greenlet-3.0.0a1 grpc-google-iam-v1-0.12.6 grpcio-status-1.57.0 hdfs-2.7.2 httplib2-0.22.0 hypothesis-6.82.6 idna-3.4 iniconfig-2.0.0 isodate-0.6.1 jmespath-1.0.1 joblib-1.3.2 mock-5.1.0 msal-1.24.0b1 msal-extensions-1.0.0 oauth2client-4.1.3 objsize-0.6.1 orjson-3.9.5 overrides-6.5.0 pandas-1.5.3 parameterized-0.9.0 portalocker-2.7.0 proto-plus-1.22.3 protobuf-4.23.4 psycopg2-binary-2.9.7 pyarrow-11.0.0 pyasn1-0.5.0 pyasn1-modules-0.3.0 pycparser-2.21 pydot-1.4.2 pyhamcrest-2.0.4 pymongo-4.5.0 pymysql-1.1.0 pyparsing-3.1.1 pytest-7.4.0 pytest-timeout-2.1.0 pytest-xdist-3.3.1 python-dateutil-2.8.2 pytz-2023.3 pyyaml-6.0.1 regex-2023.8.8 requests-2.31.0 requests_mock-1.11.0 rsa-4.9 s3transfer-0.6.2 scikit-learn-1.3.0 scipy-1.10.1 shapely-1.8.5.post1 six-1.16.0 sortedcontainers-2.4.0 sqlalchemy-1.4.49 sqlparse-0.4.4 tenacity-8.2.3 testcontainers-3.7.1 threadpoolctl-3.2.0 typing-extensions-4.7.1 urllib3-1.26.16 websocket-client-1.6.2 wrapt-1.15.0 zstandard-0.21.0
> Task :sdks:python:apache_beam:testing:load_tests:run
INFO:apache_beam.runners.portability.stager:Copying Beam SDK "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/build/apache-beam.tar.gz"> 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 https://cloud.google.com/dataflow/docs/guides/using-custom-containers#prebuild
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717" for Docker environment
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/smoketests/load-tests-python-dataflow-streaming-combine-1-0824125349.1692889666.787969/dataflow_python_sdk.tar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0824125349.1692889666.787969/dataflow_python_sdk.tar in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0824125349.1692889666.787969/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0824125349.1692889666.787969/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20230824150746788995-5246'
createTime: '2023-08-24T15:07:47.751408Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2023-08-24_08_07_47-6003693261015419100'
location: 'us-central1'
name: 'load-tests-python-dataflow-streaming-combine-1-0824125349'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2023-08-24T15:07:47.751408Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-08-24_08_07_47-6003693261015419100]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-08-24_08_07_47-6003693261015419100
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-08-24_08_07_47-6003693261015419100?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-08-24_08_07_47-6003693261015419100 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-24T15:07:53.210Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-24T15:07:55.328Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-24T15:07:55.634Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-08-24_08_07_47-6003693261015419100 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-24T15:08:04.707Z: 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:Job 2023-08-24_08_07_47-6003693261015419100 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-24T20:01:21.603Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2023-08-24_08_07_47-6003693261015419100.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-24T20:01:21.728Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-24T20:01:21.765Z: JOB_MESSAGE_BASIC: Stopping **** pool...
Traceback (most recent call last):
File "/usr/lib/python3.8/runpy.py", line 194, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/usr/lib/python3.8/runpy.py", line 87, 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 757, in wait_until_finish
assert duration or terminated, (
AssertionError: Job did not reach to a terminal state after waiting indefinitely. Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2023-08-24_08_07_47-6003693261015419100?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: 63
* 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/7.6.2/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 4h 55m 51s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date
Publishing build scan...
https://ge.apache.org/s/wd4wrhl4lgb76
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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Build failed in Jenkins: beam_LoadTests_Python_Combine_Dataflow_Streaming #1095
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/1095/display/redirect>
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Building wheels for collected packages: apache-beam
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Successfully built apache-beam
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Attempting uninstall: protobuf
Found existing installation: protobuf 4.24.1
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> Task :sdks:python:apache_beam:testing:load_tests:run
INFO:apache_beam.runners.portability.stager:Copying Beam SDK "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/build/apache-beam.tar.gz"> 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 https://cloud.google.com/dataflow/docs/guides/using-custom-containers#prebuild
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717" for Docker environment
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/smoketests/load-tests-python-dataflow-streaming-combine-1-0823125340.1692803259.958126/dataflow_python_sdk.tar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0823125340.1692803259.958126/dataflow_python_sdk.tar in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0823125340.1692803259.958126/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0823125340.1692803259.958126/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20230823150739959041-5687'
createTime: '2023-08-23T15:07:41.042627Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2023-08-23_08_07_40-1469081200195283417'
location: 'us-central1'
name: 'load-tests-python-dataflow-streaming-combine-1-0823125340'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2023-08-23T15:07:41.042627Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-08-23_08_07_40-1469081200195283417]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-08-23_08_07_40-1469081200195283417
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-08-23_08_07_40-1469081200195283417?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-08-23_08_07_40-1469081200195283417 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-23T15:07:49.294Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-23T15:07:51.569Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-23T15:07:51.868Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-08-23_08_07_40-1469081200195283417 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-23T15:08:07.312Z: 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:2023-08-23T15:10:35.843Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-23T15:11:04.870Z: 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:2023-08-23T20:01:12.677Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2023-08-23_08_07_40-1469081200195283417.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-23T20:01:12.852Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-23T20:01:12.901Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-08-23_08_07_40-1469081200195283417 is in state JOB_STATE_CANCELLING
Traceback (most recent call last):
File "/usr/lib/python3.8/runpy.py", line 194, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/usr/lib/python3.8/runpy.py", line 87, 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 757, in wait_until_finish
assert duration or terminated, (
AssertionError: Job did not reach to a terminal state after waiting indefinitely. Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2023-08-23_08_07_40-1469081200195283417?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: 63
* 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/7.6.2/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 4h 55m 52s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date
Publishing build scan...
https://ge.apache.org/s/rzpjhj3yo6nz6
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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Build failed in Jenkins: beam_LoadTests_Python_Combine_Dataflow_Streaming #1094
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/1094/display/redirect>
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Building wheels for collected packages: apache-beam
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Successfully built apache-beam
Installing collected packages: sortedcontainers, pytz, docopt, crcmod, zstandard, wrapt, websocket-client, urllib3, typing-extensions, threadpoolctl, tenacity, sqlparse, six, shapely, scipy, regex, pyyaml, pyparsing, pymysql, PyJWT, pyhamcrest, pycparser, pyasn1, pyarrow, psycopg2-binary, protobuf, portalocker, parameterized, overrides, orjson, objsize, mock, joblib, jmespath, iniconfig, idna, greenlet, google-crc32c, fasteners, fastavro, execnet, exceptiongroup, dnspython, dill, deprecation, cloudpickle, charset-normalizer, certifi, attrs, sqlalchemy, scikit-learn, rsa, requests, python-dateutil, pytest, pymongo, pydot, pyasn1-modules, proto-plus, isodate, hypothesis, httplib2, googleapis-common-protos, google-resumable-media, cffi, requests_mock, pytest-xdist, pytest-timeout, pandas, oauth2client, hdfs, grpcio-status, google-auth, freezegun, docker, cryptography, botocore, azure-core, testcontainers, s3transfer, grpc-google-iam-v1, google-auth-httplib2, google-apitools, google-api-core, azure-storage-blob, apache-beam, msal, google-cloud-core, boto3, msal-extensions, google-cloud-vision, google-cloud-videointelligence, google-cloud-storage, google-cloud-spanner, google-cloud-resource-manager, google-cloud-recommendations-ai, google-cloud-pubsub, google-cloud-language, google-cloud-dlp, google-cloud-datastore, google-cloud-bigtable, google-cloud-bigquery-storage, google-cloud-bigquery, google-cloud-pubsublite, google-cloud-aiplatform, azure-identity
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Uninstalling protobuf-4.24.1:
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Successfully installed PyJWT-2.8.0 apache-beam-2.51.0.dev0 attrs-23.1.0 azure-core-1.29.2 azure-identity-1.14.0 azure-storage-blob-12.18.0b1 boto3-1.28.31 botocore-1.31.31 certifi-2023.7.22 cffi-1.15.1 charset-normalizer-3.2.0 cloudpickle-2.2.1 crcmod-1.7 cryptography-41.0.3 deprecation-2.1.0 dill-0.3.1.1 dnspython-2.4.2 docker-6.1.3 docopt-0.6.2 exceptiongroup-1.1.3 execnet-2.0.2 fastavro-1.8.2 fasteners-0.18 freezegun-1.2.2 google-api-core-2.12.0.dev1 google-apitools-0.5.31 google-auth-2.22.0 google-auth-httplib2-0.1.0 google-cloud-aiplatform-1.31.0 google-cloud-bigquery-3.11.4 google-cloud-bigquery-storage-2.22.0 google-cloud-bigtable-2.21.0 google-cloud-core-2.3.3 google-cloud-datastore-2.17.0 google-cloud-dlp-3.12.2 google-cloud-language-2.11.0 google-cloud-pubsub-2.18.3 google-cloud-pubsublite-1.8.3 google-cloud-recommendations-ai-0.10.4 google-cloud-resource-manager-1.10.3 google-cloud-spanner-3.40.1 google-cloud-storage-2.10.0 google-cloud-videointelligence-2.11.3 google-cloud-vision-3.4.4 google-crc32c-1.5.0 google-resumable-media-2.5.0 googleapis-common-protos-1.60.0 greenlet-3.0.0a1 grpc-google-iam-v1-0.12.6 grpcio-status-1.57.0 hdfs-2.7.2 httplib2-0.22.0 hypothesis-6.82.6 idna-3.4 iniconfig-2.0.0 isodate-0.6.1 jmespath-1.0.1 joblib-1.3.2 mock-5.1.0 msal-1.24.0b1 msal-extensions-1.0.0 oauth2client-4.1.3 objsize-0.6.1 orjson-3.9.5 overrides-6.5.0 pandas-1.5.3 parameterized-0.9.0 portalocker-2.7.0 proto-plus-1.22.3 protobuf-4.23.4 psycopg2-binary-2.9.7 pyarrow-11.0.0 pyasn1-0.5.0 pyasn1-modules-0.3.0 pycparser-2.21 pydot-1.4.2 pyhamcrest-2.0.4 pymongo-4.5.0 pymysql-1.1.0 pyparsing-3.1.1 pytest-7.4.0 pytest-timeout-2.1.0 pytest-xdist-3.3.1 python-dateutil-2.8.2 pytz-2023.3 pyyaml-6.0.1 regex-2023.8.8 requests-2.31.0 requests_mock-1.11.0 rsa-4.9 s3transfer-0.6.2 scikit-learn-1.3.0 scipy-1.10.1 shapely-1.8.5.post1 six-1.16.0 sortedcontainers-2.4.0 sqlalchemy-1.4.49 sqlparse-0.4.4 tenacity-8.2.3 testcontainers-3.7.1 threadpoolctl-3.2.0 typing-extensions-4.7.1 urllib3-1.26.16 websocket-client-1.6.1 wrapt-1.15.0 zstandard-0.21.0
> Task :sdks:python:apache_beam:testing:load_tests:run
INFO:apache_beam.runners.portability.stager:Copying Beam SDK "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/build/apache-beam.tar.gz"> 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 https://cloud.google.com/dataflow/docs/guides/using-custom-containers#prebuild
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717" for Docker environment
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/smoketests/load-tests-python-dataflow-streaming-combine-1-0822125341.1692716875.399629/dataflow_python_sdk.tar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0822125341.1692716875.399629/dataflow_python_sdk.tar in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0822125341.1692716875.399629/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0822125341.1692716875.399629/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20230822150755400636-6556'
createTime: '2023-08-22T15:07:56.378914Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2023-08-22_08_07_55-9864054959676673042'
location: 'us-central1'
name: 'load-tests-python-dataflow-streaming-combine-1-0822125341'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2023-08-22T15:07:56.378914Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-08-22_08_07_55-9864054959676673042]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-08-22_08_07_55-9864054959676673042
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-08-22_08_07_55-9864054959676673042?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-08-22_08_07_55-9864054959676673042 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-22T15:08:02.467Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-22T15:08:04.899Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-22T15:08:05.193Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-08-22_08_07_55-9864054959676673042 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-22T15:08:13.995Z: 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:Job 2023-08-22_08_07_55-9864054959676673042 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-22T20:00:53.022Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2023-08-22_08_07_55-9864054959676673042.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-22T20:00:53.129Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-22T20:00:53.182Z: JOB_MESSAGE_BASIC: Stopping **** pool...
Traceback (most recent call last):
File "/usr/lib/python3.8/runpy.py", line 194, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/usr/lib/python3.8/runpy.py", line 87, 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 757, in wait_until_finish
assert duration or terminated, (
AssertionError: Job did not reach to a terminal state after waiting indefinitely. Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2023-08-22_08_07_55-9864054959676673042?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: 63
* 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/7.6.2/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 4h 55m 11s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date
Publishing build scan...
https://ge.apache.org/s/7k6hszjx6fpis
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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Build failed in Jenkins: beam_LoadTests_Python_Combine_Dataflow_Streaming #1093
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/1093/display/redirect?page=changes>
Changes:
[noreply] Bump github.com/aws/aws-sdk-go-v2 from 1.20.1 to 1.20.3 in /sdks
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Building wheels for collected packages: apache-beam
Building wheel for apache-beam (setup.py): started
Building wheel for apache-beam (setup.py): finished with status 'done'
Created wheel for apache-beam: filename=apache_beam-2.51.0.dev0-py3-none-any.whl size=3262073 sha256=ff6d000fcbec853031d5c429b441677e6404ff53c1ae43e9f78a59c5318b3fee
Stored in directory: /home/jenkins/.cache/pip/wheels/67/34/b8/5adce605a0a3f10491be234729fa4854c6a127bc01194f13fc
Successfully built apache-beam
Installing collected packages: sortedcontainers, pytz, docopt, crcmod, zstandard, wrapt, websocket-client, urllib3, typing-extensions, threadpoolctl, tenacity, sqlparse, six, shapely, scipy, regex, pyyaml, pyparsing, pymysql, PyJWT, pyhamcrest, pycparser, pyasn1, pyarrow, psycopg2-binary, protobuf, portalocker, parameterized, overrides, orjson, objsize, mock, joblib, jmespath, iniconfig, idna, greenlet, google-crc32c, fasteners, fastavro, execnet, exceptiongroup, dnspython, dill, deprecation, cloudpickle, charset-normalizer, certifi, attrs, sqlalchemy, scikit-learn, rsa, requests, python-dateutil, pytest, pymongo, pydot, pyasn1-modules, proto-plus, isodate, hypothesis, httplib2, googleapis-common-protos, google-resumable-media, cffi, requests_mock, pytest-xdist, pytest-timeout, pandas, oauth2client, hdfs, grpcio-status, google-auth, freezegun, docker, cryptography, botocore, azure-core, testcontainers, s3transfer, grpc-google-iam-v1, google-auth-httplib2, google-apitools, google-api-core, azure-storage-blob, apache-beam, msal, google-cloud-core, boto3, msal-extensions, google-cloud-vision, google-cloud-videointelligence, google-cloud-storage, google-cloud-spanner, google-cloud-resource-manager, google-cloud-recommendations-ai, google-cloud-pubsub, google-cloud-language, google-cloud-dlp, google-cloud-datastore, google-cloud-bigtable, google-cloud-bigquery-storage, google-cloud-bigquery, google-cloud-pubsublite, google-cloud-aiplatform, azure-identity
Attempting uninstall: protobuf
Found existing installation: protobuf 4.24.1
Uninstalling protobuf-4.24.1:
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Successfully installed PyJWT-2.8.0 apache-beam-2.51.0.dev0 attrs-23.1.0 azure-core-1.29.2 azure-identity-1.14.0 azure-storage-blob-12.18.0b1 boto3-1.28.30 botocore-1.31.30 certifi-2023.7.22 cffi-1.15.1 charset-normalizer-3.2.0 cloudpickle-2.2.1 crcmod-1.7 cryptography-41.0.3 deprecation-2.1.0 dill-0.3.1.1 dnspython-2.4.2 docker-6.1.3 docopt-0.6.2 exceptiongroup-1.1.3 execnet-2.0.2 fastavro-1.8.2 fasteners-0.18 freezegun-1.2.2 google-api-core-2.12.0.dev1 google-apitools-0.5.31 google-auth-2.22.0 google-auth-httplib2-0.1.0 google-cloud-aiplatform-1.31.0 google-cloud-bigquery-3.11.4 google-cloud-bigquery-storage-2.22.0 google-cloud-bigtable-2.21.0 google-cloud-core-2.3.3 google-cloud-datastore-2.17.0 google-cloud-dlp-3.12.2 google-cloud-language-2.11.0 google-cloud-pubsub-2.18.3 google-cloud-pubsublite-1.8.3 google-cloud-recommendations-ai-0.10.4 google-cloud-resource-manager-1.10.3 google-cloud-spanner-3.40.1 google-cloud-storage-2.10.0 google-cloud-videointelligence-2.11.3 google-cloud-vision-3.4.4 google-crc32c-1.5.0 google-resumable-media-2.5.0 googleapis-common-protos-1.60.0 greenlet-3.0.0a1 grpc-google-iam-v1-0.12.6 grpcio-status-1.57.0 hdfs-2.7.2 httplib2-0.22.0 hypothesis-6.82.6 idna-3.4 iniconfig-2.0.0 isodate-0.6.1 jmespath-1.0.1 joblib-1.3.2 mock-5.1.0 msal-1.24.0b1 msal-extensions-1.0.0 oauth2client-4.1.3 objsize-0.6.1 orjson-3.9.5 overrides-6.5.0 pandas-1.5.3 parameterized-0.9.0 portalocker-2.7.0 proto-plus-1.22.3 protobuf-4.23.4 psycopg2-binary-2.9.7 pyarrow-11.0.0 pyasn1-0.5.0 pyasn1-modules-0.3.0 pycparser-2.21 pydot-1.4.2 pyhamcrest-2.0.4 pymongo-4.4.1 pymysql-1.1.0 pyparsing-3.1.1 pytest-7.4.0 pytest-timeout-2.1.0 pytest-xdist-3.3.1 python-dateutil-2.8.2 pytz-2023.3 pyyaml-6.0.1 regex-2023.8.8 requests-2.31.0 requests_mock-1.11.0 rsa-4.9 s3transfer-0.6.2 scikit-learn-1.3.0 scipy-1.10.1 shapely-1.8.5.post1 six-1.16.0 sortedcontainers-2.4.0 sqlalchemy-1.4.49 sqlparse-0.4.4 tenacity-8.2.3 testcontainers-3.7.1 threadpoolctl-3.2.0 typing-extensions-4.7.1 urllib3-1.26.16 websocket-client-1.6.1 wrapt-1.15.0 zstandard-0.21.0
> Task :sdks:python:apache_beam:testing:load_tests:run
INFO:apache_beam.runners.portability.stager:Copying Beam SDK "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/build/apache-beam.tar.gz"> 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 https://cloud.google.com/dataflow/docs/guides/using-custom-containers#prebuild
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717" for Docker environment
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/smoketests/load-tests-python-dataflow-streaming-combine-1-0821125347.1692630469.266875/dataflow_python_sdk.tar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0821125347.1692630469.266875/dataflow_python_sdk.tar in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0821125347.1692630469.266875/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0821125347.1692630469.266875/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20230821150749268077-5768'
createTime: '2023-08-21T15:07:50.196771Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2023-08-21_08_07_49-14582936197018936362'
location: 'us-central1'
name: 'load-tests-python-dataflow-streaming-combine-1-0821125347'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2023-08-21T15:07:50.196771Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-08-21_08_07_49-14582936197018936362]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-08-21_08_07_49-14582936197018936362
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-08-21_08_07_49-14582936197018936362?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-08-21_08_07_49-14582936197018936362 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-21T15:07:54.933Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-21T15:07:56.671Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-21T15:07:56.956Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-08-21_08_07_49-14582936197018936362 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-21T15:08:30.051Z: 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
ERROR:apache_beam.runners.dataflow.dataflow_runner:2023-08-21T16:05:46.485Z: JOB_MESSAGE_ERROR: generic::aborted: SDK harness sdk-0-0 disconnected. This usually means that the process running the pipeline code has crashed. Inspect the Worker Logs and the Diagnostics tab to determine the cause of the crash.
with MessageCode:
(b080e4f4f6272a36): SDK disconnect.
passed through:
==>
dist_proc/dax/workflow/****/fnapi_control_service.cc:215
ERROR:apache_beam.runners.dataflow.dataflow_runner:2023-08-21T16:05:55.468Z: JOB_MESSAGE_ERROR: generic::aborted: SDK harness sdk-0-0 disconnected. This usually means that the process running the pipeline code has crashed. Inspect the Worker Logs and the Diagnostics tab to determine the cause of the crash.
with MessageCode:
(b080e4f4f6272a36): SDK disconnect.
passed through:
==>
dist_proc/dax/workflow/****/fnapi_control_service.cc:215
WARNING:apache_beam.runners.dataflow.dataflow_runner:2023-08-21T19:02:51.673Z: JOB_MESSAGE_WARNING: The ****s of given job are going to be updated.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-21T20:00:42.663Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2023-08-21_08_07_49-14582936197018936362.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-21T20:00:42.764Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-21T20:00:42.800Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-08-21_08_07_49-14582936197018936362 is in state JOB_STATE_CANCELLING
Traceback (most recent call last):
File "/usr/lib/python3.8/runpy.py", line 194, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/usr/lib/python3.8/runpy.py", line 87, 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 757, in wait_until_finish
assert duration or terminated, (
AssertionError: Job did not reach to a terminal state after waiting indefinitely. Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2023-08-21_08_07_49-14582936197018936362?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: 63
* 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/7.6.2/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 4h 54m 19s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date
Publishing build scan...
https://ge.apache.org/s/p3ngpa55lylwc
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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Build failed in Jenkins: beam_LoadTests_Python_Combine_Dataflow_Streaming #1092
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/1092/display/redirect>
Changes:
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Obtaining dependency information for urllib3<2.0 from https://files.pythonhosted.org/packages/c5/05/c214b32d21c0b465506f95c4f28ccbcba15022e000b043b72b3df7728471/urllib3-1.26.16-py2.py3-none-any.whl.metadata
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Obtaining dependency information for google-cloud-storage<3.0.0dev,>=1.32.0 from https://files.pythonhosted.org/packages/88/14/c9d4faae7ea4bff4405152cbc762b61100aa6949273b4eb3203d23308670/google_cloud_storage-2.10.0-py2.py3-none-any.whl.metadata
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Collecting google-cloud-resource-manager<3.0.0dev,>=1.3.3 (from google-cloud-aiplatform<2.0,>=1.26.0->apache-beam==2.51.0.dev0)
Obtaining dependency information for google-cloud-resource-manager<3.0.0dev,>=1.3.3 from https://files.pythonhosted.org/packages/d2/f3/e7d1848edf2f4714d8925e6c749464c190e696b3c85264441c2b3787ae72/google_cloud_resource_manager-1.10.3-py2.py3-none-any.whl.metadata
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Building wheels for collected packages: apache-beam
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Installing collected packages: sortedcontainers, pytz, docopt, crcmod, zstandard, wrapt, websocket-client, urllib3, typing-extensions, threadpoolctl, tenacity, sqlparse, six, shapely, scipy, regex, pyyaml, pyparsing, pymysql, PyJWT, pyhamcrest, pycparser, pyasn1, pyarrow, psycopg2-binary, protobuf, portalocker, parameterized, overrides, orjson, objsize, mock, joblib, jmespath, iniconfig, idna, greenlet, google-crc32c, fasteners, fastavro, execnet, exceptiongroup, dnspython, dill, deprecation, cloudpickle, charset-normalizer, certifi, attrs, sqlalchemy, scikit-learn, rsa, requests, python-dateutil, pytest, pymongo, pydot, pyasn1-modules, proto-plus, isodate, hypothesis, httplib2, googleapis-common-protos, google-resumable-media, cffi, requests_mock, pytest-xdist, pytest-timeout, pandas, oauth2client, hdfs, grpcio-status, google-auth, freezegun, docker, cryptography, botocore, azure-core, testcontainers, s3transfer, grpc-google-iam-v1, google-auth-httplib2, google-apitools, google-api-core, azure-storage-blob, apache-beam, msal, google-cloud-core, boto3, msal-extensions, google-cloud-vision, google-cloud-videointelligence, google-cloud-storage, google-cloud-spanner, google-cloud-resource-manager, google-cloud-recommendations-ai, google-cloud-pubsub, google-cloud-language, google-cloud-dlp, google-cloud-datastore, google-cloud-bigtable, google-cloud-bigquery-storage, google-cloud-bigquery, google-cloud-pubsublite, google-cloud-aiplatform, azure-identity
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> Task :sdks:python:apache_beam:testing:load_tests:run
INFO:apache_beam.runners.portability.stager:Copying Beam SDK "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/build/apache-beam.tar.gz"> 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 https://cloud.google.com/dataflow/docs/guides/using-custom-containers#prebuild
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717" for Docker environment
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/smoketests/load-tests-python-dataflow-streaming-combine-1-0820125344.1692544072.989480/dataflow_python_sdk.tar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0820125344.1692544072.989480/dataflow_python_sdk.tar in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0820125344.1692544072.989480/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0820125344.1692544072.989480/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20230820150752990471-9450'
createTime: '2023-08-20T15:07:53.865042Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2023-08-20_08_07_53-15552152414980192050'
location: 'us-central1'
name: 'load-tests-python-dataflow-streaming-combine-1-0820125344'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2023-08-20T15:07:53.865042Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-08-20_08_07_53-15552152414980192050]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-08-20_08_07_53-15552152414980192050
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-08-20_08_07_53-15552152414980192050?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-08-20_08_07_53-15552152414980192050 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-20T15:08:01.332Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-20T15:08:03.527Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-20T15:08:03.912Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-08-20_08_07_53-15552152414980192050 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-20T15:08:34.698Z: 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:Job 2023-08-20_08_07_53-15552152414980192050 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-20T20:00:40.798Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2023-08-20_08_07_53-15552152414980192050.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-20T20:00:40.941Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-20T20:00:40.979Z: JOB_MESSAGE_BASIC: Stopping **** pool...
Traceback (most recent call last):
File "/usr/lib/python3.8/runpy.py", line 194, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/usr/lib/python3.8/runpy.py", line 87, 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 757, in wait_until_finish
assert duration or terminated, (
AssertionError: Job did not reach to a terminal state after waiting indefinitely. Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2023-08-20_08_07_53-15552152414980192050?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: 63
* 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/7.6.2/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 4h 55m 11s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date
Publishing build scan...
https://ge.apache.org/s/me6bxk5jseu4y
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
---------------------------------------------------------------------
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For additional commands, e-mail: builds-help@beam.apache.org
Build failed in Jenkins: beam_LoadTests_Python_Combine_Dataflow_Streaming #1091
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/1091/display/redirect>
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Building wheels for collected packages: apache-beam
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> Task :sdks:python:apache_beam:testing:load_tests:run
INFO:apache_beam.runners.portability.stager:Copying Beam SDK "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/build/apache-beam.tar.gz"> 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 https://cloud.google.com/dataflow/docs/guides/using-custom-containers#prebuild
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717" for Docker environment
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/smoketests/load-tests-python-dataflow-streaming-combine-1-0819125335.1692457667.158374/dataflow_python_sdk.tar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0819125335.1692457667.158374/dataflow_python_sdk.tar in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0819125335.1692457667.158374/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0819125335.1692457667.158374/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20230819150747159331-9147'
createTime: '2023-08-19T15:07:48.041564Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2023-08-19_08_07_47-8784854442315646440'
location: 'us-central1'
name: 'load-tests-python-dataflow-streaming-combine-1-0819125335'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2023-08-19T15:07:48.041564Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-08-19_08_07_47-8784854442315646440]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-08-19_08_07_47-8784854442315646440
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-08-19_08_07_47-8784854442315646440?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-08-19_08_07_47-8784854442315646440 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-19T15:07:54.332Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-19T15:07:56.416Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-19T15:07:56.680Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-08-19_08_07_47-8784854442315646440 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-19T15:08:09.665Z: 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:2023-08-19T20:00:37.534Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2023-08-19_08_07_47-8784854442315646440.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-19T20:00:37.614Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-19T20:00:37.652Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-08-19_08_07_47-8784854442315646440 is in state JOB_STATE_CANCELLING
Traceback (most recent call last):
File "/usr/lib/python3.8/runpy.py", line 194, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/usr/lib/python3.8/runpy.py", line 87, 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 757, in wait_until_finish
assert duration or terminated, (
AssertionError: Job did not reach to a terminal state after waiting indefinitely. Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2023-08-19_08_07_47-8784854442315646440?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: 63
* 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/7.6.2/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 4h 55m 10s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date
Publishing build scan...
https://ge.apache.org/s/qszuanjvf3hu6
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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Build failed in Jenkins: beam_LoadTests_Python_Combine_Dataflow_Streaming #1090
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/1090/display/redirect>
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Building wheels for collected packages: apache-beam
Building wheel for apache-beam (setup.py): started
Building wheel for apache-beam (setup.py): finished with status 'done'
Created wheel for apache-beam: filename=apache_beam-2.51.0.dev0-py3-none-any.whl size=3261151 sha256=32933b7a42f62b6103d6d71c3d952c748a8cb89e7dfe43fc2862c5e2fd931a81
Stored in directory: /home/jenkins/.cache/pip/wheels/67/34/b8/5adce605a0a3f10491be234729fa4854c6a127bc01194f13fc
Successfully built apache-beam
Installing collected packages: sortedcontainers, pytz, docopt, crcmod, zstandard, wrapt, websocket-client, urllib3, typing-extensions, threadpoolctl, tenacity, sqlparse, six, shapely, scipy, regex, pyyaml, pyparsing, pymysql, PyJWT, pyhamcrest, pycparser, pyasn1, pyarrow, psycopg2-binary, protobuf, portalocker, parameterized, overrides, orjson, objsize, mock, joblib, jmespath, iniconfig, idna, greenlet, google-crc32c, fasteners, fastavro, execnet, exceptiongroup, dnspython, dill, deprecation, cloudpickle, charset-normalizer, certifi, attrs, sqlalchemy, scikit-learn, rsa, requests, python-dateutil, pytest, pymongo, pydot, pyasn1-modules, proto-plus, isodate, hypothesis, httplib2, googleapis-common-protos, google-resumable-media, cffi, requests_mock, pytest-xdist, pytest-timeout, pandas, oauth2client, hdfs, grpcio-status, google-auth, freezegun, docker, cryptography, botocore, azure-core, testcontainers, s3transfer, grpc-google-iam-v1, google-auth-httplib2, google-apitools, google-api-core, azure-storage-blob, apache-beam, msal, google-cloud-core, boto3, msal-extensions, google-cloud-vision, google-cloud-videointelligence, google-cloud-storage, google-cloud-spanner, google-cloud-resource-manager, google-cloud-recommendations-ai, google-cloud-pubsub, google-cloud-language, google-cloud-dlp, google-cloud-datastore, google-cloud-bigtable, google-cloud-bigquery-storage, google-cloud-bigquery, google-cloud-pubsublite, google-cloud-aiplatform, azure-identity
Attempting uninstall: protobuf
Found existing installation: protobuf 4.24.0
Uninstalling protobuf-4.24.0:
Successfully uninstalled protobuf-4.24.0
Successfully installed PyJWT-2.8.0 apache-beam-2.51.0.dev0 attrs-23.1.0 azure-core-1.29.2 azure-identity-1.14.0 azure-storage-blob-12.18.0b1 boto3-1.28.29 botocore-1.31.29 certifi-2023.7.22 cffi-1.15.1 charset-normalizer-3.2.0 cloudpickle-2.2.1 crcmod-1.7 cryptography-41.0.3 deprecation-2.1.0 dill-0.3.1.1 dnspython-2.4.2 docker-6.1.3 docopt-0.6.2 exceptiongroup-1.1.3 execnet-2.0.2 fastavro-1.8.2 fasteners-0.18 freezegun-1.2.2 google-api-core-2.12.0.dev1 google-apitools-0.5.31 google-auth-2.22.0 google-auth-httplib2-0.1.0 google-cloud-aiplatform-1.30.1 google-cloud-bigquery-3.11.4 google-cloud-bigquery-storage-2.22.0 google-cloud-bigtable-2.21.0 google-cloud-core-2.3.3 google-cloud-datastore-2.17.0 google-cloud-dlp-3.12.2 google-cloud-language-2.11.0 google-cloud-pubsub-2.18.2 google-cloud-pubsublite-1.8.3 google-cloud-recommendations-ai-0.10.4 google-cloud-resource-manager-1.10.3 google-cloud-spanner-3.40.1 google-cloud-storage-2.10.0 google-cloud-videointelligence-2.11.3 google-cloud-vision-3.4.4 google-crc32c-1.5.0 google-resumable-media-2.5.0 googleapis-common-protos-1.60.0 greenlet-3.0.0a1 grpc-google-iam-v1-0.12.6 grpcio-status-1.57.0 hdfs-2.7.2 httplib2-0.22.0 hypothesis-6.82.5 idna-3.4 iniconfig-2.0.0 isodate-0.6.1 jmespath-1.0.1 joblib-1.3.2 mock-5.1.0 msal-1.24.0b1 msal-extensions-1.0.0 oauth2client-4.1.3 objsize-0.6.1 orjson-3.9.5 overrides-6.5.0 pandas-1.5.3 parameterized-0.9.0 portalocker-2.7.0 proto-plus-1.22.3 protobuf-4.23.4 psycopg2-binary-2.9.7 pyarrow-11.0.0 pyasn1-0.5.0 pyasn1-modules-0.3.0 pycparser-2.21 pydot-1.4.2 pyhamcrest-2.0.4 pymongo-4.4.1 pymysql-1.1.0 pyparsing-3.1.1 pytest-7.4.0 pytest-timeout-2.1.0 pytest-xdist-3.3.1 python-dateutil-2.8.2 pytz-2023.3 pyyaml-6.0.1 regex-2023.8.8 requests-2.31.0 requests_mock-1.11.0 rsa-4.9 s3transfer-0.6.2 scikit-learn-1.3.0 scipy-1.10.1 shapely-1.8.5.post1 six-1.16.0 sortedcontainers-2.4.0 sqlalchemy-1.4.49 sqlparse-0.4.4 tenacity-8.2.3 testcontainers-3.7.1 threadpoolctl-3.2.0 typing-extensions-4.7.1 urllib3-1.26.16 websocket-client-1.6.1 wrapt-1.15.0 zstandard-0.21.0
> Task :sdks:python:apache_beam:testing:load_tests:run
INFO:apache_beam.runners.portability.stager:Copying Beam SDK "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/build/apache-beam.tar.gz"> 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 https://cloud.google.com/dataflow/docs/guides/using-custom-containers#prebuild
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717" for Docker 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 gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0818125350.1692371278.539134/dataflow_python_sdk.tar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0818125350.1692371278.539134/dataflow_python_sdk.tar in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0818125350.1692371278.539134/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0818125350.1692371278.539134/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20230818150758540380-8829'
createTime: '2023-08-18T15:07:59.579825Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2023-08-18_08_07_59-179842436548622322'
location: 'us-central1'
name: 'load-tests-python-dataflow-streaming-combine-1-0818125350'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2023-08-18T15:07:59.579825Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-08-18_08_07_59-179842436548622322]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-08-18_08_07_59-179842436548622322
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-08-18_08_07_59-179842436548622322?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-08-18_08_07_59-179842436548622322 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-18T15:08:05.471Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-18T15:08:07.747Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-18T15:08:08.135Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-08-18_08_07_59-179842436548622322 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-18T15:08:37.794Z: 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
ERROR:apache_beam.runners.dataflow.dataflow_runner:2023-08-18T19:17:28.604Z: JOB_MESSAGE_ERROR: generic::aborted: SDK harness sdk-0-0 disconnected. This usually means that the process running the pipeline code has crashed. Inspect the Worker Logs and the Diagnostics tab to determine the cause of the crash.
with MessageCode:
(23547a800c38848d): SDK disconnect.
passed through:
==>
dist_proc/dax/workflow/****/fnapi_control_service.cc:215
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-08-18_08_07_59-179842436548622322 is in state JOB_STATE_CANCELLING
Traceback (most recent call last):
File "/usr/lib/python3.8/runpy.py", line 194, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/usr/lib/python3.8/runpy.py", line 87, 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 757, in wait_until_finish
assert duration or terminated, (
AssertionError: Job did not reach to a terminal state after waiting indefinitely. Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2023-08-18_08_07_59-179842436548622322?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: 63
* 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.
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Successfully installed PyJWT-2.8.0 apache-beam-2.51.0.dev0 attrs-23.1.0 azure-core-1.29.2 azure-identity-1.14.0 azure-storage-blob-12.18.0b1 boto3-1.28.28 botocore-1.31.28 certifi-2023.7.22 cffi-1.15.1 charset-normalizer-3.2.0 cloudpickle-2.2.1 crcmod-1.7 cryptography-41.0.3 deprecation-2.1.0 dill-0.3.1.1 dnspython-2.4.2 docker-6.1.3 docopt-0.6.2 exceptiongroup-1.1.3 execnet-2.0.2 fastavro-1.8.2 fasteners-0.18 freezegun-1.2.2 google-api-core-2.12.0.dev1 google-apitools-0.5.31 google-auth-2.22.0 google-auth-httplib2-0.1.0 google-cloud-aiplatform-1.30.1 google-cloud-bigquery-3.11.4 google-cloud-bigquery-storage-2.22.0 google-cloud-bigtable-2.21.0 google-cloud-core-2.3.3 google-cloud-datastore-2.17.0 google-cloud-dlp-3.12.2 google-cloud-language-2.11.0 google-cloud-pubsub-2.18.2 google-cloud-pubsublite-1.8.3 google-cloud-recommendations-ai-0.10.4 google-cloud-resource-manager-1.10.3 google-cloud-spanner-3.40.1 google-cloud-storage-2.10.0 google-cloud-videointelligence-2.11.3 google-cloud-vision-3.4.4 google-crc32c-1.5.0 google-resumable-media-2.5.0 googleapis-common-protos-1.60.0 greenlet-3.0.0a1 grpc-google-iam-v1-0.12.6 grpcio-status-1.57.0 hdfs-2.7.2 httplib2-0.22.0 hypothesis-6.82.4 idna-3.4 iniconfig-2.0.0 isodate-0.6.1 jmespath-1.0.1 joblib-1.3.2 mock-5.1.0 msal-1.24.0b1 msal-extensions-1.0.0 oauth2client-4.1.3 objsize-0.6.1 orjson-3.9.5 overrides-6.5.0 pandas-1.5.3 parameterized-0.9.0 portalocker-2.7.0 proto-plus-1.22.3 protobuf-4.23.4 psycopg2-binary-2.9.7 pyarrow-11.0.0 pyasn1-0.5.0 pyasn1-modules-0.3.0 pycparser-2.21 pydot-1.4.2 pyhamcrest-2.0.4 pymongo-4.4.1 pymysql-1.1.0 pyparsing-3.1.1 pytest-7.4.0 pytest-timeout-2.1.0 pytest-xdist-3.3.1 python-dateutil-2.8.2 pytz-2023.3 pyyaml-6.0.1 regex-2023.8.8 requests-2.31.0 requests_mock-1.11.0 rsa-4.9 s3transfer-0.6.2 scikit-learn-1.3.0 scipy-1.10.1 shapely-1.8.5.post1 six-1.16.0 sortedcontainers-2.4.0 sqlalchemy-1.4.49 sqlparse-0.4.4 tenacity-8.2.3 testcontainers-3.7.1 threadpoolctl-3.2.0 typing-extensions-4.7.1 urllib3-1.26.16 websocket-client-1.6.1 wrapt-1.15.0 zstandard-0.21.0
> Task :sdks:python:apache_beam:testing:load_tests:run
INFO:apache_beam.runners.portability.stager:Copying Beam SDK "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/build/apache-beam.tar.gz"> 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 https://cloud.google.com/dataflow/docs/guides/using-custom-containers#prebuild
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717" for Docker 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 gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0817125351.1692284874.409943/dataflow_python_sdk.tar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0817125351.1692284874.409943/dataflow_python_sdk.tar in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0817125351.1692284874.409943/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0817125351.1692284874.409943/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20230817150754410910-1825'
createTime: '2023-08-17T15:07:55.403131Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2023-08-17_08_07_54-11055652507357529805'
location: 'us-central1'
name: 'load-tests-python-dataflow-streaming-combine-1-0817125351'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2023-08-17T15:07:55.403131Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-08-17_08_07_54-11055652507357529805]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-08-17_08_07_54-11055652507357529805
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-08-17_08_07_54-11055652507357529805?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-08-17_08_07_54-11055652507357529805 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-17T15:07:58.935Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-17T15:08:01.492Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-17T15:08:01.750Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-08-17_08_07_54-11055652507357529805 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-17T15:08:21.762Z: 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:Job 2023-08-17_08_07_54-11055652507357529805 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-17T20:00:51.977Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2023-08-17_08_07_54-11055652507357529805.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-17T20:00:52.108Z: JOB_MESSAGE_BASIC: Stopping **** pool...
Traceback (most recent call last):
File "/usr/lib/python3.8/runpy.py", line 194, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/usr/lib/python3.8/runpy.py", line 87, 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 757, in wait_until_finish
assert duration or terminated, (
AssertionError: Job did not reach to a terminal state after waiting indefinitely. Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2023-08-17_08_07_54-11055652507357529805?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: 63
* 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/7.6.2/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 4h 55m 15s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date
Publishing build scan...
Publishing failed.
The response from https://ge.apache.org/scans/publish/gradle/3.13.2/token was not from Gradle Enterprise.
The specified server address may be incorrect, or your network environment may be interfering.
Please report this problem to your Gradle Enterprise administrator via https://ge.apache.org/help and include the following via copy/paste:
----------
Gradle version: 7.6.2
Plugin version: 3.13.2
Request URL: https://ge.apache.org/scans/publish/gradle/3.13.2/token
Request ID: b0ba007d-6a2c-47f6-9c17-b7c5f8041931
Response status code: 502
Response content type: text/html
----------
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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Build failed in Jenkins: beam_LoadTests_Python_Combine_Dataflow_Streaming #1088
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/1088/display/redirect>
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Building wheels for collected packages: apache-beam
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> Task :sdks:python:apache_beam:testing:load_tests:run
INFO:apache_beam.runners.portability.stager:Copying Beam SDK "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/build/apache-beam.tar.gz"> 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 https://cloud.google.com/dataflow/docs/guides/using-custom-containers#prebuild
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717" for Docker 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 gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0816125351.1692198471.224474/dataflow_python_sdk.tar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0816125351.1692198471.224474/dataflow_python_sdk.tar in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0816125351.1692198471.224474/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0816125351.1692198471.224474/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20230816150751225434-1087'
createTime: '2023-08-16T15:07:54.516286Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2023-08-16_08_07_51-13026894485037550381'
location: 'us-central1'
name: 'load-tests-python-dataflow-streaming-combine-1-0816125351'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2023-08-16T15:07:54.516286Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-08-16_08_07_51-13026894485037550381]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-08-16_08_07_51-13026894485037550381
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-08-16_08_07_51-13026894485037550381?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-08-16_08_07_51-13026894485037550381 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-16T15:07:59.233Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-a.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-16T15:08:01.221Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-16T15:08:01.547Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-a...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-08-16_08_07_51-13026894485037550381 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-16T15:08:26.950Z: 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:Job 2023-08-16_08_07_51-13026894485037550381 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-16T20:00:40.192Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2023-08-16_08_07_51-13026894485037550381.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-16T20:00:40.301Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-16T20:00:40.344Z: JOB_MESSAGE_BASIC: Stopping **** pool...
Traceback (most recent call last):
File "/usr/lib/python3.8/runpy.py", line 194, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/usr/lib/python3.8/runpy.py", line 87, 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 757, in wait_until_finish
assert duration or terminated, (
AssertionError: Job did not reach to a terminal state after waiting indefinitely. Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2023-08-16_08_07_51-13026894485037550381?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: 63
* 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/7.6.2/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 4h 55m 9s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date
Publishing build scan...
https://ge.apache.org/s/2gbvb2iczm6jg
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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Build failed in Jenkins: beam_LoadTests_Python_Combine_Dataflow_Streaming #1087
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/1087/display/redirect>
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Building wheels for collected packages: apache-beam
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Stored in directory: /home/jenkins/.cache/pip/wheels/67/34/b8/5adce605a0a3f10491be234729fa4854c6a127bc01194f13fc
Successfully built apache-beam
Installing collected packages: sortedcontainers, pytz, docopt, crcmod, zstandard, wrapt, websocket-client, urllib3, typing-extensions, threadpoolctl, tenacity, sqlparse, six, shapely, scipy, regex, pyyaml, pyparsing, pymysql, PyJWT, pyhamcrest, pycparser, pyasn1, pyarrow, psycopg2-binary, protobuf, portalocker, parameterized, overrides, orjson, objsize, mock, joblib, jmespath, iniconfig, idna, greenlet, google-crc32c, fasteners, fastavro, execnet, exceptiongroup, dnspython, dill, deprecation, cloudpickle, charset-normalizer, certifi, attrs, sqlalchemy, scikit-learn, rsa, requests, python-dateutil, pytest, pymongo, pydot, pyasn1-modules, proto-plus, isodate, hypothesis, httplib2, googleapis-common-protos, google-resumable-media, cffi, requests_mock, pytest-xdist, pytest-timeout, pandas, oauth2client, hdfs, grpcio-status, google-auth, freezegun, docker, cryptography, botocore, azure-core, testcontainers, s3transfer, grpc-google-iam-v1, google-auth-httplib2, google-apitools, google-api-core, azure-storage-blob, apache-beam, msal, google-cloud-core, boto3, msal-extensions, google-cloud-vision, google-cloud-videointelligence, google-cloud-storage, google-cloud-spanner, google-cloud-resource-manager, google-cloud-recommendations-ai, google-cloud-pubsub, google-cloud-language, google-cloud-dlp, google-cloud-datastore, google-cloud-bigtable, google-cloud-bigquery-storage, google-cloud-bigquery, google-cloud-pubsublite, google-cloud-aiplatform, azure-identity
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Successfully installed PyJWT-2.8.0 apache-beam-2.51.0.dev0 attrs-23.1.0 azure-core-1.29.2 azure-identity-1.14.0 azure-storage-blob-12.18.0b1 boto3-1.28.26 botocore-1.31.26 certifi-2023.7.22 cffi-1.15.1 charset-normalizer-3.2.0 cloudpickle-2.2.1 crcmod-1.7 cryptography-41.0.3 deprecation-2.1.0 dill-0.3.1.1 dnspython-2.4.2 docker-6.1.3 docopt-0.6.2 exceptiongroup-1.1.3 execnet-2.0.2 fastavro-1.8.2 fasteners-0.18 freezegun-1.2.2 google-api-core-2.12.0.dev0 google-apitools-0.5.31 google-auth-2.22.0 google-auth-httplib2-0.1.0 google-cloud-aiplatform-1.30.1 google-cloud-bigquery-3.11.4 google-cloud-bigquery-storage-2.22.0 google-cloud-bigtable-2.21.0 google-cloud-core-2.3.3 google-cloud-datastore-2.17.0 google-cloud-dlp-3.12.2 google-cloud-language-2.11.0 google-cloud-pubsub-2.18.2 google-cloud-pubsublite-1.8.3 google-cloud-recommendations-ai-0.10.4 google-cloud-resource-manager-1.10.3 google-cloud-spanner-3.40.0 google-cloud-storage-2.10.0 google-cloud-videointelligence-2.11.3 google-cloud-vision-3.4.4 google-crc32c-1.5.0 google-resumable-media-2.5.0 googleapis-common-protos-1.60.0 greenlet-3.0.0a1 grpc-google-iam-v1-0.12.6 grpcio-status-1.57.0 hdfs-2.7.2 httplib2-0.22.0 hypothesis-6.82.4 idna-3.4 iniconfig-2.0.0 isodate-0.6.1 jmespath-1.0.1 joblib-1.3.2 mock-5.1.0 msal-1.24.0b1 msal-extensions-1.0.0 oauth2client-4.1.3 objsize-0.6.1 orjson-3.9.4 overrides-6.5.0 pandas-1.5.3 parameterized-0.9.0 portalocker-2.7.0 proto-plus-1.22.3 protobuf-4.23.4 psycopg2-binary-2.9.7 pyarrow-11.0.0 pyasn1-0.5.0 pyasn1-modules-0.3.0 pycparser-2.21 pydot-1.4.2 pyhamcrest-2.0.4 pymongo-4.4.1 pymysql-1.1.0 pyparsing-3.1.1 pytest-7.4.0 pytest-timeout-2.1.0 pytest-xdist-3.3.1 python-dateutil-2.8.2 pytz-2023.3 pyyaml-6.0.1 regex-2023.8.8 requests-2.31.0 requests_mock-1.11.0 rsa-4.9 s3transfer-0.6.1 scikit-learn-1.3.0 scipy-1.10.1 shapely-1.8.5.post1 six-1.16.0 sortedcontainers-2.4.0 sqlalchemy-1.4.49 sqlparse-0.4.4 tenacity-8.2.3 testcontainers-3.7.1 threadpoolctl-3.2.0 typing-extensions-4.7.1 urllib3-1.26.16 websocket-client-1.6.1 wrapt-1.15.0 zstandard-0.21.0
> Task :sdks:python:apache_beam:testing:load_tests:run
INFO:apache_beam.runners.portability.stager:Copying Beam SDK "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/build/apache-beam.tar.gz"> 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 https://cloud.google.com/dataflow/docs/guides/using-custom-containers#prebuild
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717" for Docker 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 gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0815134947.1692112070.530277/dataflow_python_sdk.tar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0815134947.1692112070.530277/dataflow_python_sdk.tar in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0815134947.1692112070.530277/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0815134947.1692112070.530277/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20230815150750531246-8729'
createTime: '2023-08-15T15:07:54.128537Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2023-08-15_08_07_50-11416184213631712351'
location: 'us-central1'
name: 'load-tests-python-dataflow-streaming-combine-1-0815134947'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2023-08-15T15:07:54.128537Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-08-15_08_07_50-11416184213631712351]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-08-15_08_07_50-11416184213631712351
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-08-15_08_07_50-11416184213631712351?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-08-15_08_07_50-11416184213631712351 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-15T15:07:58.445Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-15T15:08:00.355Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-15T15:08:00.666Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-08-15_08_07_50-11416184213631712351 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-15T15:08:34.054Z: 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:2023-08-15T20:00:41.898Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2023-08-15_08_07_50-11416184213631712351.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-15T20:00:42.015Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-15T20:00:42.068Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-08-15_08_07_50-11416184213631712351 is in state JOB_STATE_CANCELLING
Traceback (most recent call last):
File "/usr/lib/python3.8/runpy.py", line 194, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/usr/lib/python3.8/runpy.py", line 87, 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 757, in wait_until_finish
assert duration or terminated, (
AssertionError: Job did not reach to a terminal state after waiting indefinitely. Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2023-08-15_08_07_50-11416184213631712351?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: 63
* 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/7.6.2/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 4h 55m 17s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date
Publishing build scan...
https://ge.apache.org/s/e3pjlf6emop6u
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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Build failed in Jenkins: beam_LoadTests_Python_Combine_Dataflow_Streaming #1086
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/1086/display/redirect?page=changes>
Changes:
[noreply] Add Vertex AI image classification integration test (#27958)
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Building wheels for collected packages: apache-beam
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> Task :sdks:python:apache_beam:testing:load_tests:run
INFO:apache_beam.runners.portability.stager:Copying Beam SDK "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/build/apache-beam.tar.gz"> 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 https://cloud.google.com/dataflow/docs/guides/using-custom-containers#prebuild
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717" for Docker 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 gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0814125343.1692025690.971701/dataflow_python_sdk.tar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0814125343.1692025690.971701/dataflow_python_sdk.tar in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0814125343.1692025690.971701/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0814125343.1692025690.971701/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20230814150810972693-6423'
createTime: '2023-08-14T15:08:12.040134Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2023-08-14_08_08_11-12935301229472539894'
location: 'us-central1'
name: 'load-tests-python-dataflow-streaming-combine-1-0814125343'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2023-08-14T15:08:12.040134Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-08-14_08_08_11-12935301229472539894]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-08-14_08_08_11-12935301229472539894
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-08-14_08_08_11-12935301229472539894?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-08-14_08_08_11-12935301229472539894 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-14T15:08:19.566Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-14T15:08:28.145Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-14T15:08:28.430Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-08-14_08_08_11-12935301229472539894 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-14T15:08:47.625Z: 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:Job 2023-08-14_08_08_11-12935301229472539894 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-14T20:00:43.821Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2023-08-14_08_08_11-12935301229472539894.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-14T20:00:43.926Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-14T20:00:43.981Z: JOB_MESSAGE_BASIC: Stopping **** pool...
Traceback (most recent call last):
File "/usr/lib/python3.8/runpy.py", line 194, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/usr/lib/python3.8/runpy.py", line 87, 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 757, in wait_until_finish
assert duration or terminated, (
AssertionError: Job did not reach to a terminal state after waiting indefinitely. Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2023-08-14_08_08_11-12935301229472539894?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: 63
* 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/7.6.2/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 4h 55m 6s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date
Publishing build scan...
https://ge.apache.org/s/7flqnvtu6tquq
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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Build failed in Jenkins: beam_LoadTests_Python_Combine_Dataflow_Streaming #1085
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/1085/display/redirect>
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Building wheels for collected packages: apache-beam
Building wheel for apache-beam (setup.py): started
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Stored in directory: /home/jenkins/.cache/pip/wheels/67/34/b8/5adce605a0a3f10491be234729fa4854c6a127bc01194f13fc
Successfully built apache-beam
Installing collected packages: sortedcontainers, pytz, docopt, crcmod, zstandard, wrapt, websocket-client, urllib3, typing-extensions, threadpoolctl, tenacity, sqlparse, six, shapely, scipy, regex, pyyaml, pyparsing, pymysql, PyJWT, pyhamcrest, pycparser, pyasn1, pyarrow, psycopg2-binary, protobuf, portalocker, parameterized, overrides, orjson, objsize, mock, joblib, jmespath, iniconfig, idna, greenlet, google-crc32c, fasteners, fastavro, execnet, exceptiongroup, dnspython, dill, deprecation, cloudpickle, charset-normalizer, certifi, attrs, sqlalchemy, scikit-learn, rsa, requests, python-dateutil, pytest, pymongo, pydot, pyasn1-modules, proto-plus, isodate, hypothesis, httplib2, googleapis-common-protos, google-resumable-media, cffi, requests_mock, pytest-xdist, pytest-timeout, pandas, oauth2client, hdfs, grpcio-status, google-auth, freezegun, docker, cryptography, botocore, azure-core, testcontainers, s3transfer, grpc-google-iam-v1, google-auth-httplib2, google-apitools, google-api-core, azure-storage-blob, apache-beam, msal, google-cloud-core, boto3, msal-extensions, google-cloud-vision, google-cloud-videointelligence, google-cloud-storage, google-cloud-spanner, google-cloud-resource-manager, google-cloud-recommendations-ai, google-cloud-pubsub, google-cloud-language, google-cloud-dlp, google-cloud-datastore, google-cloud-bigtable, google-cloud-bigquery-storage, google-cloud-bigquery, google-cloud-pubsublite, google-cloud-aiplatform, azure-identity
Attempting uninstall: protobuf
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Successfully installed PyJWT-2.8.0 apache-beam-2.51.0.dev0 attrs-23.1.0 azure-core-1.29.1 azure-identity-1.14.0 azure-storage-blob-12.18.0b1 boto3-1.28.25 botocore-1.31.25 certifi-2023.7.22 cffi-1.15.1 charset-normalizer-3.2.0 cloudpickle-2.2.1 crcmod-1.7 cryptography-41.0.3 deprecation-2.1.0 dill-0.3.1.1 dnspython-2.4.2 docker-6.1.3 docopt-0.6.2 exceptiongroup-1.1.2 execnet-2.0.2 fastavro-1.8.2 fasteners-0.18 freezegun-1.2.2 google-api-core-2.12.0.dev0 google-apitools-0.5.31 google-auth-2.22.0 google-auth-httplib2-0.1.0 google-cloud-aiplatform-1.30.1 google-cloud-bigquery-3.11.4 google-cloud-bigquery-storage-2.22.0 google-cloud-bigtable-2.21.0 google-cloud-core-2.3.3 google-cloud-datastore-2.17.0 google-cloud-dlp-3.12.2 google-cloud-language-2.10.1 google-cloud-pubsub-2.18.2 google-cloud-pubsublite-1.8.3 google-cloud-recommendations-ai-0.10.4 google-cloud-resource-manager-1.10.3 google-cloud-spanner-3.40.0 google-cloud-storage-2.10.0 google-cloud-videointelligence-2.11.3 google-cloud-vision-3.4.4 google-crc32c-1.5.0 google-resumable-media-2.5.0 googleapis-common-protos-1.60.0 greenlet-3.0.0a1 grpc-google-iam-v1-0.12.6 grpcio-status-1.57.0 hdfs-2.7.2 httplib2-0.22.0 hypothesis-6.82.4 idna-3.4 iniconfig-2.0.0 isodate-0.6.1 jmespath-1.0.1 joblib-1.3.2 mock-5.1.0 msal-1.24.0b1 msal-extensions-1.0.0 oauth2client-4.1.3 objsize-0.6.1 orjson-3.9.4 overrides-6.5.0 pandas-1.5.3 parameterized-0.9.0 portalocker-2.7.0 proto-plus-1.22.3 protobuf-4.23.4 psycopg2-binary-2.9.7 pyarrow-11.0.0 pyasn1-0.5.0 pyasn1-modules-0.3.0 pycparser-2.21 pydot-1.4.2 pyhamcrest-2.0.4 pymongo-4.4.1 pymysql-1.1.0 pyparsing-3.1.1 pytest-7.4.0 pytest-timeout-2.1.0 pytest-xdist-3.3.1 python-dateutil-2.8.2 pytz-2023.3 pyyaml-6.0.1 regex-2023.8.8 requests-2.31.0 requests_mock-1.11.0 rsa-4.9 s3transfer-0.6.1 scikit-learn-1.3.0 scipy-1.10.1 shapely-1.8.5.post1 six-1.16.0 sortedcontainers-2.4.0 sqlalchemy-1.4.49 sqlparse-0.4.4 tenacity-8.2.2 testcontainers-3.7.1 threadpoolctl-3.2.0 typing-extensions-4.7.1 urllib3-1.26.16 websocket-client-1.6.1 wrapt-1.15.0 zstandard-0.21.0
> Task :sdks:python:apache_beam:testing:load_tests:run
INFO:apache_beam.runners.portability.stager:Copying Beam SDK "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/build/apache-beam.tar.gz"> 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 https://cloud.google.com/dataflow/docs/guides/using-custom-containers#prebuild
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717" for Docker 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 gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0813125349.1691939269.690531/dataflow_python_sdk.tar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0813125349.1691939269.690531/dataflow_python_sdk.tar in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0813125349.1691939269.690531/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0813125349.1691939269.690531/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20230813150749691504-3543'
createTime: '2023-08-13T15:07:50.686032Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2023-08-13_08_07_50-4827225711920960570'
location: 'us-central1'
name: 'load-tests-python-dataflow-streaming-combine-1-0813125349'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2023-08-13T15:07:50.686032Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-08-13_08_07_50-4827225711920960570]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-08-13_08_07_50-4827225711920960570
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-08-13_08_07_50-4827225711920960570?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-08-13_08_07_50-4827225711920960570 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-13T15:07:54.802Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-13T15:07:56.896Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-13T15:07:57.166Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-08-13_08_07_50-4827225711920960570 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-13T15:08:26.820Z: 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:Job 2023-08-13_08_07_50-4827225711920960570 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-13T20:00:58.951Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2023-08-13_08_07_50-4827225711920960570.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-13T20:00:59.085Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-13T20:00:59.125Z: JOB_MESSAGE_BASIC: Stopping **** pool...
Traceback (most recent call last):
File "/usr/lib/python3.8/runpy.py", line 194, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/usr/lib/python3.8/runpy.py", line 87, 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 757, in wait_until_finish
assert duration or terminated, (
AssertionError: Job did not reach to a terminal state after waiting indefinitely. Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2023-08-13_08_07_50-4827225711920960570?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: 63
* 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/7.6.2/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 4h 55m 8s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date
Publishing build scan...
https://ge.apache.org/s/h5y73wl7unf3g
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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Build failed in Jenkins: beam_LoadTests_Python_Combine_Dataflow_Streaming #1084
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/1084/display/redirect>
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Building wheels for collected packages: apache-beam
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> Task :sdks:python:apache_beam:testing:load_tests:run
INFO:apache_beam.runners.portability.stager:Copying Beam SDK "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/build/apache-beam.tar.gz"> 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 https://cloud.google.com/dataflow/docs/guides/using-custom-containers#prebuild
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717" for Docker 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 gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0812125350.1691852869.070134/dataflow_python_sdk.tar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0812125350.1691852869.070134/dataflow_python_sdk.tar in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0812125350.1691852869.070134/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0812125350.1691852869.070134/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20230812150749071082-6029'
createTime: '2023-08-12T15:07:49.989657Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2023-08-12_08_07_49-7768979073221823935'
location: 'us-central1'
name: 'load-tests-python-dataflow-streaming-combine-1-0812125350'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2023-08-12T15:07:49.989657Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-08-12_08_07_49-7768979073221823935]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-08-12_08_07_49-7768979073221823935
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-08-12_08_07_49-7768979073221823935?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-08-12_08_07_49-7768979073221823935 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-12T15:07:55.290Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-12T15:07:56.999Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-12T15:07:57.295Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-08-12_08_07_49-7768979073221823935 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-12T15:08:06.054Z: 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:Job 2023-08-12_08_07_49-7768979073221823935 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-12T20:00:40.625Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2023-08-12_08_07_49-7768979073221823935.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-12T20:00:40.716Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-12T20:00:40.766Z: JOB_MESSAGE_BASIC: Stopping **** pool...
Traceback (most recent call last):
File "/usr/lib/python3.8/runpy.py", line 194, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/usr/lib/python3.8/runpy.py", line 87, 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 757, in wait_until_finish
assert duration or terminated, (
AssertionError: Job did not reach to a terminal state after waiting indefinitely. Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2023-08-12_08_07_49-7768979073221823935?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: 63
* 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/7.6.2/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 4h 55m 14s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date
Publishing build scan...
https://ge.apache.org/s/vxkvo6atxusdg
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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Build failed in Jenkins: beam_LoadTests_Python_Combine_Dataflow_Streaming #1083
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/1083/display/redirect>
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Building wheels for collected packages: apache-beam
Building wheel for apache-beam (setup.py): started
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Stored in directory: /home/jenkins/.cache/pip/wheels/67/34/b8/5adce605a0a3f10491be234729fa4854c6a127bc01194f13fc
Successfully built apache-beam
Installing collected packages: sortedcontainers, pytz, docopt, crcmod, zstandard, wrapt, websocket-client, urllib3, typing-extensions, threadpoolctl, tenacity, sqlparse, six, shapely, scipy, regex, pyyaml, pyparsing, pymysql, PyJWT, pyhamcrest, pycparser, pyasn1, pyarrow, psycopg2-binary, protobuf, portalocker, parameterized, overrides, orjson, objsize, mock, joblib, jmespath, iniconfig, idna, greenlet, google-crc32c, fasteners, fastavro, execnet, exceptiongroup, dnspython, dill, deprecation, cloudpickle, charset-normalizer, certifi, attrs, sqlalchemy, scikit-learn, rsa, requests, python-dateutil, pytest, pymongo, pydot, pyasn1-modules, proto-plus, isodate, hypothesis, httplib2, googleapis-common-protos, google-resumable-media, cffi, requests_mock, pytest-xdist, pytest-timeout, pandas, oauth2client, hdfs, grpcio-status, google-auth, freezegun, docker, cryptography, botocore, azure-core, testcontainers, s3transfer, grpc-google-iam-v1, google-auth-httplib2, google-apitools, google-api-core, azure-storage-blob, apache-beam, msal, google-cloud-core, boto3, msal-extensions, google-cloud-vision, google-cloud-videointelligence, google-cloud-storage, google-cloud-spanner, google-cloud-resource-manager, google-cloud-recommendations-ai, google-cloud-pubsub, google-cloud-language, google-cloud-dlp, google-cloud-datastore, google-cloud-bigtable, google-cloud-bigquery-storage, google-cloud-bigquery, google-cloud-pubsublite, google-cloud-aiplatform, azure-identity
Attempting uninstall: protobuf
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Successfully installed PyJWT-2.8.0 apache-beam-2.51.0.dev0 attrs-23.1.0 azure-core-1.29.1 azure-identity-1.14.0 azure-storage-blob-12.18.0b1 boto3-1.28.24 botocore-1.31.24 certifi-2023.7.22 cffi-1.15.1 charset-normalizer-3.2.0 cloudpickle-2.2.1 crcmod-1.7 cryptography-41.0.3 deprecation-2.1.0 dill-0.3.1.1 dnspython-2.4.2 docker-6.1.3 docopt-0.6.2 exceptiongroup-1.1.2 execnet-2.0.2 fastavro-1.8.2 fasteners-0.18 freezegun-1.2.2 google-api-core-2.12.0.dev0 google-apitools-0.5.31 google-auth-2.22.0 google-auth-httplib2-0.1.0 google-cloud-aiplatform-1.30.0 google-cloud-bigquery-3.11.4 google-cloud-bigquery-storage-2.22.0 google-cloud-bigtable-2.21.0 google-cloud-core-2.3.3 google-cloud-datastore-2.17.0 google-cloud-dlp-3.12.2 google-cloud-language-2.10.1 google-cloud-pubsub-2.18.2 google-cloud-pubsublite-1.8.3 google-cloud-recommendations-ai-0.10.4 google-cloud-resource-manager-1.10.3 google-cloud-spanner-3.40.0 google-cloud-storage-2.10.0 google-cloud-videointelligence-2.11.3 google-cloud-vision-3.4.4 google-crc32c-1.5.0 google-resumable-media-2.5.0 googleapis-common-protos-1.60.0 greenlet-3.0.0a1 grpc-google-iam-v1-0.12.6 grpcio-status-1.57.0 hdfs-2.7.2 httplib2-0.22.0 hypothesis-6.82.3 idna-3.4 iniconfig-2.0.0 isodate-0.6.1 jmespath-1.0.1 joblib-1.3.2 mock-5.1.0 msal-1.24.0b1 msal-extensions-1.0.0 oauth2client-4.1.3 objsize-0.6.1 orjson-3.9.4 overrides-6.5.0 pandas-1.5.3 parameterized-0.9.0 portalocker-2.7.0 proto-plus-1.22.3 protobuf-4.23.4 psycopg2-binary-2.9.7 pyarrow-11.0.0 pyasn1-0.5.0 pyasn1-modules-0.3.0 pycparser-2.21 pydot-1.4.2 pyhamcrest-2.0.4 pymongo-4.4.1 pymysql-1.1.0 pyparsing-3.1.1 pytest-7.4.0 pytest-timeout-2.1.0 pytest-xdist-3.3.1 python-dateutil-2.8.2 pytz-2023.3 pyyaml-6.0.1 regex-2023.8.8 requests-2.31.0 requests_mock-1.11.0 rsa-4.9 s3transfer-0.6.1 scikit-learn-1.3.0 scipy-1.10.1 shapely-1.8.5.post1 six-1.16.0 sortedcontainers-2.4.0 sqlalchemy-1.4.49 sqlparse-0.4.4 tenacity-8.2.2 testcontainers-3.7.1 threadpoolctl-3.2.0 typing-extensions-4.7.1 urllib3-1.26.16 websocket-client-1.6.1 wrapt-1.15.0 zstandard-0.21.0
> Task :sdks:python:apache_beam:testing:load_tests:run
INFO:apache_beam.runners.portability.stager:Copying Beam SDK "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/build/apache-beam.tar.gz"> 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 https://cloud.google.com/dataflow/docs/guides/using-custom-containers#prebuild
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717" for Docker 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 gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0811125341.1691766515.277184/dataflow_python_sdk.tar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0811125341.1691766515.277184/dataflow_python_sdk.tar in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0811125341.1691766515.277184/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0811125341.1691766515.277184/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20230811150835278142-8243'
createTime: '2023-08-11T15:08:36.303697Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2023-08-11_08_08_35-15723274632313268860'
location: 'us-central1'
name: 'load-tests-python-dataflow-streaming-combine-1-0811125341'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2023-08-11T15:08:36.303697Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-08-11_08_08_35-15723274632313268860]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-08-11_08_08_35-15723274632313268860
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-08-11_08_08_35-15723274632313268860?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-08-11_08_08_35-15723274632313268860 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-11T15:08:41.421Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-11T15:08:43.479Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-11T15:08:43.728Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-08-11_08_08_35-15723274632313268860 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-11T15:09:03.269Z: 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:Job 2023-08-11_08_08_35-15723274632313268860 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-11T20:00:41.619Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2023-08-11_08_08_35-15723274632313268860.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-11T20:00:41.755Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-11T20:00:41.797Z: JOB_MESSAGE_BASIC: Stopping **** pool...
Traceback (most recent call last):
File "/usr/lib/python3.8/runpy.py", line 194, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/usr/lib/python3.8/runpy.py", line 87, 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 757, in wait_until_finish
assert duration or terminated, (
AssertionError: Job did not reach to a terminal state after waiting indefinitely. Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2023-08-11_08_08_35-15723274632313268860?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: 63
* 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/7.6.2/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 4h 55m 10s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date
Publishing build scan...
https://ge.apache.org/s/xu7jq6h3qskjs
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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Build failed in Jenkins: beam_LoadTests_Python_Combine_Dataflow_Streaming #1082
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/1082/display/redirect>
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Building wheels for collected packages: apache-beam
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> Task :sdks:python:apache_beam:testing:load_tests:run
INFO:apache_beam.runners.portability.stager:Copying Beam SDK "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/build/apache-beam.tar.gz"> 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 https://cloud.google.com/dataflow/docs/guides/using-custom-containers#prebuild
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717" for Docker 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 gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0810125347.1691680075.193480/dataflow_python_sdk.tar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0810125347.1691680075.193480/dataflow_python_sdk.tar in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0810125347.1691680075.193480/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0810125347.1691680075.193480/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20230810150755194526-6969'
createTime: '2023-08-10T15:07:56.339826Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2023-08-10_08_07_55-12157205673782733569'
location: 'us-central1'
name: 'load-tests-python-dataflow-streaming-combine-1-0810125347'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2023-08-10T15:07:56.339826Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-08-10_08_07_55-12157205673782733569]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-08-10_08_07_55-12157205673782733569
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-08-10_08_07_55-12157205673782733569?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-08-10_08_07_55-12157205673782733569 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-10T15:08:01.749Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-10T15:08:03.965Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-10T15:08:04.200Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-08-10_08_07_55-12157205673782733569 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-10T15:08:15.137Z: 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:Job 2023-08-10_08_07_55-12157205673782733569 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-10T20:00:57.584Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2023-08-10_08_07_55-12157205673782733569.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-10T20:00:57.682Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-10T20:00:57.729Z: JOB_MESSAGE_BASIC: Stopping **** pool...
Traceback (most recent call last):
File "/usr/lib/python3.8/runpy.py", line 194, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/usr/lib/python3.8/runpy.py", line 87, 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 757, in wait_until_finish
assert duration or terminated, (
AssertionError: Job did not reach to a terminal state after waiting indefinitely. Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2023-08-10_08_07_55-12157205673782733569?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: 63
* 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/7.6.2/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 4h 55m 11s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date
Publishing build scan...
https://ge.apache.org/s/73cyskmbnejco
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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Build failed in Jenkins: beam_LoadTests_Python_Combine_Dataflow_Streaming #1081
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/1081/display/redirect>
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Building wheels for collected packages: apache-beam
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Installing collected packages: sortedcontainers, pytz, docopt, crcmod, zstandard, wrapt, websocket-client, urllib3, typing-extensions, threadpoolctl, tenacity, sqlparse, six, shapely, scipy, regex, pyyaml, pyparsing, pymysql, PyJWT, pyhamcrest, pycparser, pyasn1, pyarrow, psycopg2-binary, protobuf, portalocker, parameterized, overrides, orjson, objsize, mock, joblib, jmespath, iniconfig, idna, greenlet, google-crc32c, fasteners, fastavro, execnet, exceptiongroup, dnspython, dill, deprecation, cloudpickle, charset-normalizer, certifi, attrs, sqlalchemy, scikit-learn, rsa, requests, python-dateutil, pytest, pymongo, pydot, pyasn1-modules, proto-plus, isodate, hypothesis, httplib2, googleapis-common-protos, google-resumable-media, cffi, requests_mock, pytest-xdist, pytest-timeout, pandas, oauth2client, hdfs, grpcio-status, google-auth, freezegun, docker, cryptography, botocore, azure-core, testcontainers, s3transfer, grpc-google-iam-v1, google-auth-httplib2, google-apitools, google-api-core, azure-storage-blob, apache-beam, msal, google-cloud-core, boto3, msal-extensions, google-cloud-vision, google-cloud-videointelligence, google-cloud-storage, google-cloud-spanner, google-cloud-resource-manager, google-cloud-recommendations-ai, google-cloud-pubsub, google-cloud-language, google-cloud-dlp, google-cloud-datastore, google-cloud-bigtable, google-cloud-bigquery-storage, google-cloud-bigquery, google-cloud-pubsublite, google-cloud-aiplatform, azure-identity
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Successfully installed PyJWT-2.8.0 apache-beam-2.50.0.dev0 attrs-23.1.0 azure-core-1.29.0 azure-identity-1.14.0 azure-storage-blob-12.18.0b1 boto3-1.28.22 botocore-1.31.22 certifi-2023.7.22 cffi-1.15.1 charset-normalizer-3.2.0 cloudpickle-2.2.1 crcmod-1.7 cryptography-41.0.3 deprecation-2.1.0 dill-0.3.1.1 dnspython-2.4.2 docker-6.1.3 docopt-0.6.2 exceptiongroup-1.1.2 execnet-2.0.2 fastavro-1.8.2 fasteners-0.18 freezegun-1.2.2 google-api-core-2.12.0.dev0 google-apitools-0.5.31 google-auth-2.22.0 google-auth-httplib2-0.1.0 google-cloud-aiplatform-1.29.0 google-cloud-bigquery-3.11.4 google-cloud-bigquery-storage-2.22.0 google-cloud-bigtable-2.21.0 google-cloud-core-2.3.3 google-cloud-datastore-2.17.0 google-cloud-dlp-3.12.2 google-cloud-language-2.10.1 google-cloud-pubsub-2.18.2 google-cloud-pubsublite-1.8.3 google-cloud-recommendations-ai-0.10.4 google-cloud-resource-manager-1.10.3 google-cloud-spanner-3.40.0 google-cloud-storage-2.10.0 google-cloud-videointelligence-2.11.3 google-cloud-vision-3.4.4 google-crc32c-1.5.0 google-resumable-media-2.5.0 googleapis-common-protos-1.60.0 greenlet-3.0.0a1 grpc-google-iam-v1-0.12.6 grpcio-status-1.57.0rc1 hdfs-2.7.1 httplib2-0.22.0 hypothesis-6.82.3 idna-3.4 iniconfig-2.0.0 isodate-0.6.1 jmespath-1.0.1 joblib-1.3.2 mock-5.1.0 msal-1.24.0b1 msal-extensions-1.0.0 oauth2client-4.1.3 objsize-0.6.1 orjson-3.9.4 overrides-6.5.0 pandas-1.5.3 parameterized-0.9.0 portalocker-2.7.0 proto-plus-1.22.3 protobuf-4.23.4 psycopg2-binary-2.9.7 pyarrow-11.0.0 pyasn1-0.5.0 pyasn1-modules-0.3.0 pycparser-2.21 pydot-1.4.2 pyhamcrest-2.0.4 pymongo-4.4.1 pymysql-1.1.0 pyparsing-3.1.1 pytest-7.4.0 pytest-timeout-2.1.0 pytest-xdist-3.3.1 python-dateutil-2.8.2 pytz-2023.3 pyyaml-6.0.1 regex-2023.8.8 requests-2.31.0 requests_mock-1.11.0 rsa-4.9 s3transfer-0.6.1 scikit-learn-1.3.0 scipy-1.10.1 shapely-1.8.5.post1 six-1.16.0 sortedcontainers-2.4.0 sqlalchemy-1.4.49 sqlparse-0.4.4 tenacity-8.2.2 testcontainers-3.7.1 threadpoolctl-3.2.0 typing-extensions-4.7.1 urllib3-1.26.16 websocket-client-1.6.1 wrapt-1.15.0 zstandard-0.21.0
> Task :sdks:python:apache_beam:testing:load_tests:run
INFO:apache_beam.runners.portability.stager:Copying Beam SDK "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/build/apache-beam.tar.gz"> 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 https://cloud.google.com/dataflow/docs/guides/using-custom-containers#prebuild
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717" for Docker 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 gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0809125349.1691593673.273973/dataflow_python_sdk.tar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0809125349.1691593673.273973/dataflow_python_sdk.tar in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0809125349.1691593673.273973/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0809125349.1691593673.273973/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20230809150753274974-5825'
createTime: '2023-08-09T15:07:54.457315Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2023-08-09_08_07_53-10829342549033890404'
location: 'us-central1'
name: 'load-tests-python-dataflow-streaming-combine-1-0809125349'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2023-08-09T15:07:54.457315Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-08-09_08_07_53-10829342549033890404]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-08-09_08_07_53-10829342549033890404
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-08-09_08_07_53-10829342549033890404?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-08-09_08_07_53-10829342549033890404 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-09T15:07:58.493Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-09T15:08:00.318Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-09T15:08:00.631Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-08-09_08_07_53-10829342549033890404 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-09T15:08:23.401Z: 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:Job 2023-08-09_08_07_53-10829342549033890404 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-09T20:00:46.745Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2023-08-09_08_07_53-10829342549033890404.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-09T20:00:46.832Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-09T20:00:46.871Z: JOB_MESSAGE_BASIC: Stopping **** pool...
Traceback (most recent call last):
File "/usr/lib/python3.8/runpy.py", line 194, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/usr/lib/python3.8/runpy.py", line 87, 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 758, in wait_until_finish
assert duration or terminated, (
AssertionError: Job did not reach to a terminal state after waiting indefinitely. Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2023-08-09_08_07_53-10829342549033890404?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: 63
* 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/7.6.2/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 4h 55m 12s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date
Publishing build scan...
https://ge.apache.org/s/7yvyqpd4ufw52
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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Build failed in Jenkins: beam_LoadTests_Python_Combine_Dataflow_Streaming #1080
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/1080/display/redirect>
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Building wheels for collected packages: apache-beam
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Successfully built apache-beam
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> Task :sdks:python:apache_beam:testing:load_tests:run
INFO:apache_beam.runners.portability.stager:Copying Beam SDK "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/build/apache-beam.tar.gz"> 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 https://cloud.google.com/dataflow/docs/guides/using-custom-containers#prebuild
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717" for Docker 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 gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0808125351.1691507263.464155/dataflow_python_sdk.tar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0808125351.1691507263.464155/dataflow_python_sdk.tar in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0808125351.1691507263.464155/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0808125351.1691507263.464155/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20230808150743465177-2960'
createTime: '2023-08-08T15:07:44.436049Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2023-08-08_08_07_43-9635749521555000607'
location: 'us-central1'
name: 'load-tests-python-dataflow-streaming-combine-1-0808125351'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2023-08-08T15:07:44.436049Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-08-08_08_07_43-9635749521555000607]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-08-08_08_07_43-9635749521555000607
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-08-08_08_07_43-9635749521555000607?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-08-08_08_07_43-9635749521555000607 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-08T15:07:49.370Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-08T15:07:51.793Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-08T15:07:52.123Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-08-08_08_07_43-9635749521555000607 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-08T15:08:04.197Z: 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:2023-08-08T15:12:57.231Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-08T15:13:10.559Z: 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:Job 2023-08-08_08_07_43-9635749521555000607 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-08T20:10:14.021Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2023-08-08_08_07_43-9635749521555000607.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-08T20:10:16.071Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-08T20:10:16.122Z: JOB_MESSAGE_BASIC: Stopping **** pool...
Traceback (most recent call last):
File "/usr/lib/python3.8/runpy.py", line 194, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/usr/lib/python3.8/runpy.py", line 87, 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 758, in wait_until_finish
assert duration or terminated, (
AssertionError: Job did not reach to a terminal state after waiting indefinitely. Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2023-08-08_08_07_43-9635749521555000607?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: 63
* 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/7.6.2/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 5h 4m 21s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date
Publishing build scan...
https://ge.apache.org/s/o2z5gyrvccl3i
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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Build failed in Jenkins: beam_LoadTests_Python_Combine_Dataflow_Streaming #1079
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/1079/display/redirect>
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Building wheels for collected packages: apache-beam
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Installing collected packages: sortedcontainers, pytz, docopt, crcmod, zstandard, wrapt, websocket-client, urllib3, typing-extensions, threadpoolctl, tenacity, sqlparse, six, shapely, scipy, regex, pyyaml, pyparsing, pymysql, PyJWT, pyhamcrest, pycparser, pyasn1, pyarrow, psycopg2-binary, protobuf, portalocker, parameterized, overrides, orjson, objsize, mock, joblib, jmespath, iniconfig, idna, greenlet, google-crc32c, fasteners, fastavro, execnet, exceptiongroup, dnspython, dill, deprecation, cloudpickle, charset-normalizer, certifi, attrs, sqlalchemy, scikit-learn, rsa, requests, python-dateutil, pytest, pymongo, pydot, pyasn1-modules, proto-plus, isodate, hypothesis, httplib2, googleapis-common-protos, google-resumable-media, cffi, requests_mock, pytest-xdist, pytest-timeout, pandas, oauth2client, hdfs, grpcio-status, google-auth, freezegun, docker, cryptography, botocore, azure-core, testcontainers, s3transfer, grpc-google-iam-v1, google-auth-httplib2, google-apitools, google-api-core, azure-storage-blob, apache-beam, msal, google-cloud-core, boto3, msal-extensions, google-cloud-vision, google-cloud-videointelligence, google-cloud-storage, google-cloud-spanner, google-cloud-resource-manager, google-cloud-recommendations-ai, google-cloud-pubsub, google-cloud-language, google-cloud-dlp, google-cloud-datastore, google-cloud-bigtable, google-cloud-bigquery-storage, google-cloud-bigquery, google-cloud-pubsublite, google-cloud-aiplatform, azure-identity
Attempting uninstall: protobuf
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Uninstalling protobuf-4.24.0rc3:
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Successfully installed PyJWT-2.8.0 apache-beam-2.50.0.dev0 attrs-23.1.0 azure-core-1.28.0 azure-identity-1.14.0b2 azure-storage-blob-12.17.0 boto3-1.28.20 botocore-1.31.20 certifi-2023.7.22 cffi-1.15.1 charset-normalizer-3.2.0 cloudpickle-2.2.1 crcmod-1.7 cryptography-41.0.3 deprecation-2.1.0 dill-0.3.1.1 dnspython-2.4.1 docker-6.1.3 docopt-0.6.2 exceptiongroup-1.1.2 execnet-2.0.2 fastavro-1.8.2 fasteners-0.18 freezegun-1.2.2 google-api-core-2.12.0.dev0 google-apitools-0.5.31 google-auth-2.22.0 google-auth-httplib2-0.1.0 google-cloud-aiplatform-1.29.0 google-cloud-bigquery-3.11.4 google-cloud-bigquery-storage-2.22.0 google-cloud-bigtable-2.20.0 google-cloud-core-2.3.3 google-cloud-datastore-2.16.1 google-cloud-dlp-3.12.2 google-cloud-language-2.10.1 google-cloud-pubsub-2.18.1 google-cloud-pubsublite-1.8.3 google-cloud-recommendations-ai-0.10.4 google-cloud-resource-manager-1.10.3 google-cloud-spanner-3.40.0 google-cloud-storage-2.10.0 google-cloud-videointelligence-2.11.3 google-cloud-vision-3.4.4 google-crc32c-1.5.0 google-resumable-media-2.5.0 googleapis-common-protos-1.60.0 greenlet-3.0.0a1 grpc-google-iam-v1-0.12.6 grpcio-status-1.57.0rc1 hdfs-2.7.0 httplib2-0.22.0 hypothesis-6.82.2 idna-3.4 iniconfig-2.0.0 isodate-0.6.1 jmespath-1.0.1 joblib-1.3.1 mock-5.1.0 msal-1.24.0b1 msal-extensions-1.0.0 oauth2client-4.1.3 objsize-0.6.1 orjson-3.9.3 overrides-6.5.0 pandas-1.5.3 parameterized-0.9.0 portalocker-2.7.0 proto-plus-1.22.3 protobuf-4.23.4 psycopg2-binary-2.9.7 pyarrow-11.0.0 pyasn1-0.5.0 pyasn1-modules-0.3.0 pycparser-2.21 pydot-1.4.2 pyhamcrest-2.0.4 pymongo-4.4.1 pymysql-1.1.0 pyparsing-3.1.1 pytest-7.4.0 pytest-timeout-2.1.0 pytest-xdist-3.3.1 python-dateutil-2.8.2 pytz-2023.3 pyyaml-6.0.1 regex-2023.6.3 requests-2.31.0 requests_mock-1.11.0 rsa-4.9 s3transfer-0.6.1 scikit-learn-1.3.0 scipy-1.10.1 shapely-1.8.5.post1 six-1.16.0 sortedcontainers-2.4.0 sqlalchemy-1.4.49 sqlparse-0.4.4 tenacity-8.2.2 testcontainers-3.7.1 threadpoolctl-3.2.0 typing-extensions-4.7.1 urllib3-1.26.16 websocket-client-1.6.1 wrapt-1.15.0 zstandard-0.21.0
> Task :sdks:python:apache_beam:testing:load_tests:run
INFO:apache_beam.runners.portability.stager:Copying Beam SDK "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/build/apache-beam.tar.gz"> 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 https://cloud.google.com/dataflow/docs/guides/using-custom-containers#prebuild
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717" for Docker 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 gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0807125355.1691420863.035554/dataflow_python_sdk.tar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0807125355.1691420863.035554/dataflow_python_sdk.tar in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0807125355.1691420863.035554/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0807125355.1691420863.035554/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20230807150743036466-5997'
createTime: '2023-08-07T15:07:44.002455Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2023-08-07_08_07_43-10229001806204194739'
location: 'us-central1'
name: 'load-tests-python-dataflow-streaming-combine-1-0807125355'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2023-08-07T15:07:44.002455Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-08-07_08_07_43-10229001806204194739]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-08-07_08_07_43-10229001806204194739
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-08-07_08_07_43-10229001806204194739?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-08-07_08_07_43-10229001806204194739 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-07T15:07:54.727Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-07T15:07:57.161Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-07T15:07:57.488Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-08-07_08_07_43-10229001806204194739 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-07T15:08:13.383Z: 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:Job 2023-08-07_08_07_43-10229001806204194739 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-07T20:00:42.648Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2023-08-07_08_07_43-10229001806204194739.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-07T20:00:42.826Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-07T20:00:42.883Z: JOB_MESSAGE_BASIC: Stopping **** pool...
Traceback (most recent call last):
File "/usr/lib/python3.8/runpy.py", line 194, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/usr/lib/python3.8/runpy.py", line 87, 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 758, in wait_until_finish
assert duration or terminated, (
AssertionError: Job did not reach to a terminal state after waiting indefinitely. Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2023-08-07_08_07_43-10229001806204194739?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: 63
* 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/7.6.2/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 4h 55m 13s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date
Publishing build scan...
https://ge.apache.org/s/synni6by5advy
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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Build failed in Jenkins: beam_LoadTests_Python_Combine_Dataflow_Streaming #1078
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/1078/display/redirect>
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Obtaining dependency information for PyJWT[crypto]<3,>=1.0.0 from https://files.pythonhosted.org/packages/2b/4f/e04a8067c7c96c364cef7ef73906504e2f40d690811c021e1a1901473a19/PyJWT-2.8.0-py3-none-any.whl.metadata
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Building wheels for collected packages: apache-beam
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> Task :sdks:python:apache_beam:testing:load_tests:run
INFO:apache_beam.runners.portability.stager:Copying Beam SDK "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/build/apache-beam.tar.gz"> 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 https://cloud.google.com/dataflow/docs/guides/using-custom-containers#prebuild
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717" for Docker 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 gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0806125341.1691334473.788331/dataflow_python_sdk.tar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0806125341.1691334473.788331/dataflow_python_sdk.tar in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0806125341.1691334473.788331/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0806125341.1691334473.788331/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20230806150753789344-9006'
createTime: '2023-08-06T15:07:54.746617Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2023-08-06_08_07_54-13758518343024157534'
location: 'us-central1'
name: 'load-tests-python-dataflow-streaming-combine-1-0806125341'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2023-08-06T15:07:54.746617Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-08-06_08_07_54-13758518343024157534]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-08-06_08_07_54-13758518343024157534
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-08-06_08_07_54-13758518343024157534?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-08-06_08_07_54-13758518343024157534 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-06T15:07:58.924Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-06T15:08:00.799Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-06T15:08:01.058Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-08-06_08_07_54-13758518343024157534 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-06T15:08:11.798Z: 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:2023-08-06T20:00:42.420Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2023-08-06_08_07_54-13758518343024157534.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-06T20:00:42.562Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-08-06_08_07_54-13758518343024157534 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-06T20:00:42.604Z: JOB_MESSAGE_BASIC: Stopping **** pool...
Traceback (most recent call last):
File "/usr/lib/python3.8/runpy.py", line 194, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/usr/lib/python3.8/runpy.py", line 87, 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 758, in wait_until_finish
assert duration or terminated, (
AssertionError: Job did not reach to a terminal state after waiting indefinitely. Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2023-08-06_08_07_54-13758518343024157534?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: 63
* 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/7.6.2/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 4h 55m 12s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date
Publishing build scan...
https://ge.apache.org/s/ygrr4kwkzrmv4
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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Build failed in Jenkins: beam_LoadTests_Python_Combine_Dataflow_Streaming #1077
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/1077/display/redirect>
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Building wheels for collected packages: apache-beam
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Installing collected packages: sortedcontainers, pytz, docopt, crcmod, zstandard, wrapt, websocket-client, urllib3, typing-extensions, threadpoolctl, tenacity, sqlparse, six, shapely, scipy, regex, pyyaml, pyparsing, pymysql, PyJWT, pyhamcrest, pycparser, pyasn1, pyarrow, psycopg2-binary, protobuf, portalocker, parameterized, overrides, orjson, objsize, mock, joblib, jmespath, iniconfig, idna, greenlet, google-crc32c, fasteners, fastavro, execnet, exceptiongroup, dnspython, dill, deprecation, cloudpickle, charset-normalizer, certifi, attrs, sqlalchemy, scikit-learn, rsa, requests, python-dateutil, pytest, pymongo, pydot, pyasn1-modules, proto-plus, isodate, hypothesis, httplib2, googleapis-common-protos, google-resumable-media, cffi, requests_mock, pytest-xdist, pytest-timeout, pandas, oauth2client, hdfs, grpcio-status, google-auth, freezegun, docker, cryptography, botocore, azure-core, testcontainers, s3transfer, grpc-google-iam-v1, google-auth-httplib2, google-apitools, google-api-core, azure-storage-blob, apache-beam, msal, google-cloud-core, boto3, msal-extensions, google-cloud-vision, google-cloud-videointelligence, google-cloud-storage, google-cloud-spanner, google-cloud-resource-manager, google-cloud-recommendations-ai, google-cloud-pubsub, google-cloud-language, google-cloud-dlp, google-cloud-datastore, google-cloud-bigtable, google-cloud-bigquery-storage, google-cloud-bigquery, google-cloud-pubsublite, google-cloud-aiplatform, azure-identity
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> Task :sdks:python:apache_beam:testing:load_tests:run
INFO:apache_beam.runners.portability.stager:Copying Beam SDK "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/build/apache-beam.tar.gz"> 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 https://cloud.google.com/dataflow/docs/guides/using-custom-containers#prebuild
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717" for Docker 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 gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0805125350.1691248066.734155/dataflow_python_sdk.tar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0805125350.1691248066.734155/dataflow_python_sdk.tar in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0805125350.1691248066.734155/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0805125350.1691248066.734155/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20230805150746735112-4280'
createTime: '2023-08-05T15:07:47.605805Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2023-08-05_08_07_47-15907704060889531190'
location: 'us-central1'
name: 'load-tests-python-dataflow-streaming-combine-1-0805125350'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2023-08-05T15:07:47.605805Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-08-05_08_07_47-15907704060889531190]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-08-05_08_07_47-15907704060889531190
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-08-05_08_07_47-15907704060889531190?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-08-05_08_07_47-15907704060889531190 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-05T15:07:51.624Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-05T15:07:53.733Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-05T15:07:54.007Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-08-05_08_07_47-15907704060889531190 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-05T15:08:21.286Z: 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
WARNING:apache_beam.runners.dataflow.dataflow_runner:2023-08-05T18:47:28.538Z: JOB_MESSAGE_WARNING: The ****s of given job are going to be updated.
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-08-05_08_07_47-15907704060889531190 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-05T20:01:08.773Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2023-08-05_08_07_47-15907704060889531190.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-05T20:01:08.886Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-05T20:01:08.933Z: JOB_MESSAGE_BASIC: Stopping **** pool...
Traceback (most recent call last):
File "/usr/lib/python3.8/runpy.py", line 194, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/usr/lib/python3.8/runpy.py", line 87, 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 758, in wait_until_finish
assert duration or terminated, (
AssertionError: Job did not reach to a terminal state after waiting indefinitely. Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2023-08-05_08_07_47-15907704060889531190?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: 63
* 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/7.6.2/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 4h 55m 13s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date
Publishing build scan...
https://ge.apache.org/s/urr5opbiex2og
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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For additional commands, e-mail: builds-help@beam.apache.org
Build failed in Jenkins: beam_LoadTests_Python_Combine_Dataflow_Streaming #1076
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/1076/display/redirect>
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Collecting websocket-client>=0.32.0 (from docker>=4.0.0->testcontainers[mysql]<4.0.0,>=3.0.3->apache-beam==2.50.0.dev0)
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Building wheels for collected packages: apache-beam
Building wheel for apache-beam (setup.py): started
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Stored in directory: /home/jenkins/.cache/pip/wheels/67/34/b8/5adce605a0a3f10491be234729fa4854c6a127bc01194f13fc
Successfully built apache-beam
Installing collected packages: sortedcontainers, pytz, docopt, crcmod, zstandard, wrapt, websocket-client, urllib3, typing-extensions, threadpoolctl, tenacity, sqlparse, six, shapely, scipy, regex, pyyaml, pyparsing, pymysql, PyJWT, pyhamcrest, pycparser, pyasn1, pyarrow, psycopg2-binary, protobuf, portalocker, parameterized, overrides, orjson, objsize, mock, joblib, jmespath, iniconfig, idna, greenlet, google-crc32c, fasteners, fastavro, execnet, exceptiongroup, dnspython, dill, deprecation, cloudpickle, charset-normalizer, certifi, attrs, sqlalchemy, scikit-learn, rsa, requests, python-dateutil, pytest, pymongo, pydot, pyasn1-modules, proto-plus, isodate, hypothesis, httplib2, googleapis-common-protos, google-resumable-media, cffi, requests_mock, pytest-xdist, pytest-timeout, pandas, oauth2client, hdfs, grpcio-status, google-auth, freezegun, docker, cryptography, botocore, azure-core, testcontainers, s3transfer, grpc-google-iam-v1, google-auth-httplib2, google-apitools, google-api-core, azure-storage-blob, apache-beam, msal, google-cloud-core, boto3, msal-extensions, google-cloud-vision, google-cloud-videointelligence, google-cloud-storage, google-cloud-spanner, google-cloud-resource-manager, google-cloud-recommendations-ai, google-cloud-pubsub, google-cloud-language, google-cloud-dlp, google-cloud-datastore, google-cloud-bigtable, google-cloud-bigquery-storage, google-cloud-bigquery, google-cloud-pubsublite, google-cloud-aiplatform, azure-identity
Attempting uninstall: protobuf
Found existing installation: protobuf 4.24.0rc3
Uninstalling protobuf-4.24.0rc3:
Successfully uninstalled protobuf-4.24.0rc3
Successfully installed PyJWT-2.8.0 apache-beam-2.50.0.dev0 attrs-23.1.0 azure-core-1.28.0 azure-identity-1.14.0b2 azure-storage-blob-12.17.0 boto3-1.28.19 botocore-1.31.19 certifi-2023.7.22 cffi-1.15.1 charset-normalizer-3.2.0 cloudpickle-2.2.1 crcmod-1.7 cryptography-41.0.3 deprecation-2.1.0 dill-0.3.1.1 dnspython-2.4.1 docker-6.1.3 docopt-0.6.2 exceptiongroup-1.1.2 execnet-2.0.2 fastavro-1.8.2 fasteners-0.18 freezegun-1.2.2 google-api-core-2.12.0.dev0 google-apitools-0.5.31 google-auth-2.22.0 google-auth-httplib2-0.1.0 google-cloud-aiplatform-1.29.0 google-cloud-bigquery-3.11.4 google-cloud-bigquery-storage-2.22.0 google-cloud-bigtable-2.20.0 google-cloud-core-2.3.3 google-cloud-datastore-2.16.1 google-cloud-dlp-3.12.2 google-cloud-language-2.10.1 google-cloud-pubsub-2.18.1 google-cloud-pubsublite-1.8.3 google-cloud-recommendations-ai-0.10.4 google-cloud-resource-manager-1.10.3 google-cloud-spanner-3.40.0 google-cloud-storage-2.10.0 google-cloud-videointelligence-2.11.3 google-cloud-vision-3.4.4 google-crc32c-1.5.0 google-resumable-media-2.5.0 googleapis-common-protos-1.60.0 greenlet-3.0.0a1 grpc-google-iam-v1-0.12.6 grpcio-status-1.57.0rc1 hdfs-2.7.0 httplib2-0.22.0 hypothesis-6.82.0 idna-3.4 iniconfig-2.0.0 isodate-0.6.1 jmespath-1.0.1 joblib-1.3.1 mock-5.1.0 msal-1.24.0b1 msal-extensions-1.0.0 oauth2client-4.1.3 objsize-0.6.1 orjson-3.9.2 overrides-6.5.0 pandas-1.5.3 parameterized-0.9.0 portalocker-2.7.0 proto-plus-1.22.3 protobuf-4.23.4 psycopg2-binary-2.9.6 pyarrow-11.0.0 pyasn1-0.5.0 pyasn1-modules-0.3.0 pycparser-2.21 pydot-1.4.2 pyhamcrest-2.0.4 pymongo-4.4.1 pymysql-1.1.0 pyparsing-3.1.1 pytest-7.4.0 pytest-timeout-2.1.0 pytest-xdist-3.3.1 python-dateutil-2.8.2 pytz-2023.3 pyyaml-6.0.1 regex-2023.6.3 requests-2.31.0 requests_mock-1.11.0 rsa-4.9 s3transfer-0.6.1 scikit-learn-1.3.0 scipy-1.10.1 shapely-1.8.5.post1 six-1.16.0 sortedcontainers-2.4.0 sqlalchemy-1.4.49 sqlparse-0.4.4 tenacity-8.2.2 testcontainers-3.7.1 threadpoolctl-3.2.0 typing-extensions-4.7.1 urllib3-1.26.16 websocket-client-1.6.1 wrapt-1.15.0 zstandard-0.21.0
> Task :sdks:python:apache_beam:testing:load_tests:run
INFO:apache_beam.runners.portability.stager:Copying Beam SDK "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/build/apache-beam.tar.gz"> 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 https://cloud.google.com/dataflow/docs/guides/using-custom-containers#prebuild
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717" for Docker 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 gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0804125346.1691161673.842116/dataflow_python_sdk.tar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0804125346.1691161673.842116/dataflow_python_sdk.tar in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0804125346.1691161673.842116/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0804125346.1691161673.842116/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20230804150753843038-4008'
createTime: '2023-08-04T15:07:54.717996Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2023-08-04_08_07_54-17247923794242661373'
location: 'us-central1'
name: 'load-tests-python-dataflow-streaming-combine-1-0804125346'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2023-08-04T15:07:54.717996Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-08-04_08_07_54-17247923794242661373]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-08-04_08_07_54-17247923794242661373
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-08-04_08_07_54-17247923794242661373?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-08-04_08_07_54-17247923794242661373 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-04T15:08:00.053Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-c.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-04T15:08:01.832Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-04T15:08:02.123Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-c...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-08-04_08_07_54-17247923794242661373 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-04T15:08:09.925Z: 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:2023-08-04T15:11:35.209Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-c.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-04T15:12:06.008Z: 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:2023-08-04T18:03:24.060Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-c.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-04T18:03:35.367Z: 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:Job 2023-08-04_08_07_54-17247923794242661373 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-04T20:11:21.712Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2023-08-04_08_07_54-17247923794242661373.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-04T20:11:21.913Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-04T20:11:21.978Z: JOB_MESSAGE_BASIC: Stopping **** pool...
Traceback (most recent call last):
File "/usr/lib/python3.8/runpy.py", line 194, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/usr/lib/python3.8/runpy.py", line 87, 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 758, in wait_until_finish
assert duration or terminated, (
AssertionError: Job did not reach to a terminal state after waiting indefinitely. Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2023-08-04_08_07_54-17247923794242661373?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: 63
* 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/7.6.2/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 5h 5m 38s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date
Publishing build scan...
https://ge.apache.org/s/tsqkf5463acs6
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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Build failed in Jenkins: beam_LoadTests_Python_Combine_Dataflow_Streaming #1075
Posted by Apache Jenkins Server <je...@builds.apache.org>.
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Changes:
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Using cached s3transfer-0.6.1-py3-none-any.whl (79 kB)
Collecting cffi>=1.12 (from cryptography>=41.0.2->apache-beam==2.50.0.dev0)
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Collecting googleapis-common-protos<2.0.dev0,>=1.56.2 (from google-api-core<3,>=2.0.0->apache-beam==2.50.0.dev0)
Obtaining dependency information for googleapis-common-protos<2.0.dev0,>=1.56.2 from https://files.pythonhosted.org/packages/a7/bc/416a1ffeba4dcd072bc10523dac9ed97f2e7fc4b760580e2bdbdc1e2afdd/googleapis_common_protos-1.60.0-py2.py3-none-any.whl.metadata
Using cached googleapis_common_protos-1.60.0-py2.py3-none-any.whl.metadata (1.5 kB)
Collecting oauth2client>=1.4.12 (from google-apitools<0.5.32,>=0.5.31->apache-beam==2.50.0.dev0)
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Building wheels for collected packages: apache-beam
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Installing collected packages: sortedcontainers, pytz, docopt, crcmod, zstandard, wrapt, websocket-client, urllib3, typing-extensions, threadpoolctl, tenacity, sqlparse, six, shapely, scipy, regex, pyyaml, pyparsing, pymysql, PyJWT, pyhamcrest, pycparser, pyasn1, pyarrow, psycopg2-binary, protobuf, portalocker, parameterized, overrides, orjson, objsize, mock, joblib, jmespath, iniconfig, idna, greenlet, google-crc32c, fasteners, fastavro, execnet, exceptiongroup, dnspython, dill, deprecation, cloudpickle, charset-normalizer, certifi, attrs, sqlalchemy, scikit-learn, rsa, requests, python-dateutil, pytest, pymongo, pydot, pyasn1-modules, proto-plus, isodate, hypothesis, httplib2, googleapis-common-protos, google-resumable-media, cffi, requests_mock, pytest-xdist, pytest-timeout, pandas, oauth2client, hdfs, grpcio-status, google-auth, freezegun, docker, cryptography, botocore, azure-core, testcontainers, s3transfer, grpc-google-iam-v1, google-auth-httplib2, google-apitools, google-api-core, azure-storage-blob, apache-beam, msal, google-cloud-core, boto3, msal-extensions, google-cloud-vision, google-cloud-videointelligence, google-cloud-storage, google-cloud-spanner, google-cloud-resource-manager, google-cloud-recommendations-ai, google-cloud-pubsub, google-cloud-language, google-cloud-dlp, google-cloud-datastore, google-cloud-bigtable, google-cloud-bigquery-storage, google-cloud-bigquery, google-cloud-pubsublite, google-cloud-aiplatform, azure-identity
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Successfully installed PyJWT-2.8.0 apache-beam-2.50.0.dev0 attrs-23.1.0 azure-core-1.28.0 azure-identity-1.14.0b2 azure-storage-blob-12.17.0 boto3-1.28.18 botocore-1.31.18 certifi-2023.7.22 cffi-1.15.1 charset-normalizer-3.2.0 cloudpickle-2.2.1 crcmod-1.7 cryptography-41.0.3 deprecation-2.1.0 dill-0.3.1.1 dnspython-2.4.1 docker-6.1.3 docopt-0.6.2 exceptiongroup-1.1.2 execnet-2.0.2 fastavro-1.8.2 fasteners-0.18 freezegun-1.2.2 google-api-core-2.12.0.dev0 google-apitools-0.5.31 google-auth-2.22.0 google-auth-httplib2-0.1.0 google-cloud-aiplatform-1.29.0 google-cloud-bigquery-3.11.4 google-cloud-bigquery-storage-2.22.0 google-cloud-bigtable-2.20.0 google-cloud-core-2.3.3 google-cloud-datastore-2.16.1 google-cloud-dlp-3.12.2 google-cloud-language-2.10.1 google-cloud-pubsub-2.18.1 google-cloud-pubsublite-1.8.3 google-cloud-recommendations-ai-0.10.4 google-cloud-resource-manager-1.10.2 google-cloud-spanner-3.39.0 google-cloud-storage-2.10.0 google-cloud-videointelligence-2.11.3 google-cloud-vision-3.4.4 google-crc32c-1.5.0 google-resumable-media-2.5.0 googleapis-common-protos-1.60.0 greenlet-3.0.0a1 grpc-google-iam-v1-0.12.6 grpcio-status-1.57.0rc1 hdfs-2.7.0 httplib2-0.22.0 hypothesis-6.82.0 idna-3.4 iniconfig-2.0.0 isodate-0.6.1 jmespath-1.0.1 joblib-1.3.1 mock-5.1.0 msal-1.24.0b1 msal-extensions-1.0.0 oauth2client-4.1.3 objsize-0.6.1 orjson-3.9.2 overrides-6.5.0 pandas-1.5.3 parameterized-0.9.0 portalocker-2.7.0 proto-plus-1.22.3 protobuf-4.23.4 psycopg2-binary-2.9.6 pyarrow-11.0.0 pyasn1-0.5.0 pyasn1-modules-0.3.0 pycparser-2.21 pydot-1.4.2 pyhamcrest-2.0.4 pymongo-4.4.1 pymysql-1.1.0 pyparsing-3.1.1 pytest-7.4.0 pytest-timeout-2.1.0 pytest-xdist-3.3.1 python-dateutil-2.8.2 pytz-2023.3 pyyaml-6.0.1 regex-2023.6.3 requests-2.31.0 requests_mock-1.11.0 rsa-4.9 s3transfer-0.6.1 scikit-learn-1.3.0 scipy-1.10.1 shapely-1.8.5.post1 six-1.16.0 sortedcontainers-2.4.0 sqlalchemy-1.4.49 sqlparse-0.4.4 tenacity-8.2.2 testcontainers-3.7.1 threadpoolctl-3.2.0 typing-extensions-4.7.1 urllib3-1.26.16 websocket-client-1.6.1 wrapt-1.15.0 zstandard-0.21.0
> Task :sdks:python:apache_beam:testing:load_tests:run
INFO:apache_beam.runners.portability.stager:Copying Beam SDK "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/build/apache-beam.tar.gz"> 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 https://cloud.google.com/dataflow/docs/guides/using-custom-containers#prebuild
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717" for Docker 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 gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0803125344.1691076842.877594/dataflow_python_sdk.tar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0803125344.1691076842.877594/dataflow_python_sdk.tar in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0803125344.1691076842.877594/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0803125344.1691076842.877594/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20230803153402878671-2254'
createTime: '2023-08-03T15:34:04.121869Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2023-08-03_08_34_03-7958920977963692817'
location: 'us-central1'
name: 'load-tests-python-dataflow-streaming-combine-1-0803125344'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2023-08-03T15:34:04.121869Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-08-03_08_34_03-7958920977963692817]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-08-03_08_34_03-7958920977963692817
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-08-03_08_34_03-7958920977963692817?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-08-03_08_34_03-7958920977963692817 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-03T15:34:10.668Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-f.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-03T15:34:14.099Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-08-03_08_34_03-7958920977963692817 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-03T15:34:14.856Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-f...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-03T15:34:21.690Z: 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:Job 2023-08-03_08_34_03-7958920977963692817 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-03T20:47:56.196Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2023-08-03_08_34_03-7958920977963692817.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-03T20:47:56.298Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-03T20:47:56.349Z: JOB_MESSAGE_BASIC: Stopping **** pool...
Traceback (most recent call last):
File "/usr/lib/python3.8/runpy.py", line 194, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/usr/lib/python3.8/runpy.py", line 87, 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 758, in wait_until_finish
assert duration or terminated, (
AssertionError: Job did not reach to a terminal state after waiting indefinitely. Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2023-08-03_08_34_03-7958920977963692817?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: 63
* 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/7.6.2/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 5h 16m 22s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date
Publishing build scan...
https://ge.apache.org/s/xw7awwqqxgxa6
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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Build failed in Jenkins: beam_LoadTests_Python_Combine_Dataflow_Streaming #1074
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/1074/display/redirect>
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Building wheels for collected packages: apache-beam
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> Task :sdks:python:apache_beam:testing:load_tests:run
INFO:apache_beam.runners.portability.stager:Copying Beam SDK "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/build/apache-beam.tar.gz"> 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 https://cloud.google.com/dataflow/docs/guides/using-custom-containers#prebuild
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717" for Docker 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 gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0802125350.1690988870.143563/dataflow_python_sdk.tar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0802125350.1690988870.143563/dataflow_python_sdk.tar in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0802125350.1690988870.143563/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0802125350.1690988870.143563/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20230802150750144499-5483'
createTime: '2023-08-02T15:07:51.045031Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2023-08-02_08_07_50-10707827510802479686'
location: 'us-central1'
name: 'load-tests-python-dataflow-streaming-combine-1-0802125350'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2023-08-02T15:07:51.045031Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-08-02_08_07_50-10707827510802479686]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-08-02_08_07_50-10707827510802479686
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-08-02_08_07_50-10707827510802479686?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-08-02_08_07_50-10707827510802479686 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-02T15:07:56.559Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-02T15:07:58.500Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-02T15:07:58.781Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-08-02_08_07_50-10707827510802479686 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-02T15:08:21.642Z: 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:Job 2023-08-02_08_07_50-10707827510802479686 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-02T20:27:40.595Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2023-08-02_08_07_50-10707827510802479686.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-02T20:27:40.693Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-02T20:27:40.745Z: JOB_MESSAGE_BASIC: Stopping **** pool...
Traceback (most recent call last):
File "/usr/lib/python3.8/runpy.py", line 194, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/usr/lib/python3.8/runpy.py", line 87, 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 758, in wait_until_finish
assert duration or terminated, (
AssertionError: Job did not reach to a terminal state after waiting indefinitely. Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2023-08-02_08_07_50-10707827510802479686?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: 63
* 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/7.6.2/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 5h 22m 7s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date
Publishing build scan...
https://ge.apache.org/s/5yekombfozvh2
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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Build failed in Jenkins: beam_LoadTests_Python_Combine_Dataflow_Streaming #1073
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/1073/display/redirect>
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Building wheels for collected packages: apache-beam
Building wheel for apache-beam (setup.py): started
Building wheel for apache-beam (setup.py): finished with status 'done'
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Stored in directory: /home/jenkins/.cache/pip/wheels/67/34/b8/5adce605a0a3f10491be234729fa4854c6a127bc01194f13fc
Successfully built apache-beam
Installing collected packages: sortedcontainers, pytz, docopt, crcmod, zstandard, wrapt, websocket-client, urllib3, typing-extensions, threadpoolctl, tenacity, sqlparse, six, shapely, scipy, regex, pyyaml, pyparsing, pymysql, PyJWT, pyhamcrest, pycparser, pyasn1, pyarrow, psycopg2-binary, protobuf, portalocker, parameterized, overrides, orjson, objsize, mock, joblib, jmespath, iniconfig, idna, greenlet, google-crc32c, fasteners, fastavro, execnet, exceptiongroup, dnspython, dill, deprecation, cloudpickle, charset-normalizer, certifi, attrs, sqlalchemy, scikit-learn, rsa, requests, python-dateutil, pytest, pymongo, pydot, pyasn1-modules, proto-plus, isodate, hypothesis, httplib2, googleapis-common-protos, google-resumable-media, cffi, requests_mock, pytest-xdist, pytest-timeout, pandas, oauth2client, hdfs, grpcio-status, google-auth, freezegun, docker, cryptography, botocore, azure-core, testcontainers, s3transfer, grpc-google-iam-v1, google-auth-httplib2, google-apitools, google-api-core, azure-storage-blob, apache-beam, msal, google-cloud-core, boto3, msal-extensions, google-cloud-vision, google-cloud-videointelligence, google-cloud-storage, google-cloud-spanner, google-cloud-resource-manager, google-cloud-recommendations-ai, google-cloud-pubsub, google-cloud-language, google-cloud-dlp, google-cloud-datastore, google-cloud-bigtable, google-cloud-bigquery-storage, google-cloud-bigquery, google-cloud-pubsublite, google-cloud-aiplatform, azure-identity
Attempting uninstall: protobuf
Found existing installation: protobuf 4.24.0rc2
Uninstalling protobuf-4.24.0rc2:
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Successfully installed PyJWT-2.8.0 apache-beam-2.50.0.dev0 attrs-23.1.0 azure-core-1.28.0 azure-identity-1.14.0b2 azure-storage-blob-12.17.0 boto3-1.28.16 botocore-1.31.16 certifi-2023.7.22 cffi-1.15.1 charset-normalizer-3.2.0 cloudpickle-2.2.1 crcmod-1.7 cryptography-41.0.2 deprecation-2.1.0 dill-0.3.1.1 dnspython-2.4.1 docker-6.1.3 docopt-0.6.2 exceptiongroup-1.1.2 execnet-2.0.2 fastavro-1.8.2 fasteners-0.18 freezegun-1.2.2 google-api-core-2.12.0.dev0 google-apitools-0.5.31 google-auth-2.22.0 google-auth-httplib2-0.1.0 google-cloud-aiplatform-1.28.1 google-cloud-bigquery-3.11.4 google-cloud-bigquery-storage-2.22.0 google-cloud-bigtable-2.20.0 google-cloud-core-2.3.3 google-cloud-datastore-2.16.1 google-cloud-dlp-3.12.2 google-cloud-language-2.10.1 google-cloud-pubsub-2.18.1 google-cloud-pubsublite-1.8.3 google-cloud-recommendations-ai-0.10.4 google-cloud-resource-manager-1.10.2 google-cloud-spanner-3.38.0 google-cloud-storage-2.10.0 google-cloud-videointelligence-2.11.3 google-cloud-vision-3.4.4 google-crc32c-1.5.0 google-resumable-media-2.5.0 googleapis-common-protos-1.60.0 greenlet-3.0.0a1 grpc-google-iam-v1-0.12.6 grpcio-status-1.57.0rc1 hdfs-2.7.0 httplib2-0.22.0 hypothesis-6.82.0 idna-3.4 iniconfig-2.0.0 isodate-0.6.1 jmespath-1.0.1 joblib-1.3.1 mock-5.1.0 msal-1.24.0b1 msal-extensions-1.0.0 oauth2client-4.1.3 objsize-0.6.1 orjson-3.9.2 overrides-6.5.0 pandas-1.5.3 parameterized-0.9.0 portalocker-2.7.0 proto-plus-1.22.3 protobuf-4.23.4 psycopg2-binary-2.9.6 pyarrow-11.0.0 pyasn1-0.5.0 pyasn1-modules-0.3.0 pycparser-2.21 pydot-1.4.2 pyhamcrest-2.0.4 pymongo-4.4.1 pymysql-1.1.0 pyparsing-3.1.1 pytest-7.4.0 pytest-timeout-2.1.0 pytest-xdist-3.3.1 python-dateutil-2.8.2 pytz-2023.3 pyyaml-6.0.1 regex-2023.6.3 requests-2.31.0 requests_mock-1.11.0 rsa-4.9 s3transfer-0.6.1 scikit-learn-1.3.0 scipy-1.10.1 shapely-1.8.5.post1 six-1.16.0 sortedcontainers-2.4.0 sqlalchemy-1.4.49 sqlparse-0.4.4 tenacity-8.2.2 testcontainers-3.7.1 threadpoolctl-3.2.0 typing-extensions-4.7.1 urllib3-1.26.16 websocket-client-1.6.1 wrapt-1.15.0 zstandard-0.21.0
> Task :sdks:python:apache_beam:testing:load_tests:run
INFO:apache_beam.runners.portability.stager:Copying Beam SDK "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/build/apache-beam.tar.gz"> 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 https://cloud.google.com/dataflow/docs/guides/using-custom-containers#prebuild
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717" for Docker 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 gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0801125406.1690902689.107230/dataflow_python_sdk.tar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0801125406.1690902689.107230/dataflow_python_sdk.tar in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0801125406.1690902689.107230/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0801125406.1690902689.107230/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20230801151129108209-2289'
createTime: '2023-08-01T15:11:30.145212Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2023-08-01_08_11_29-12703873027658243698'
location: 'us-central1'
name: 'load-tests-python-dataflow-streaming-combine-1-0801125406'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2023-08-01T15:11:30.145212Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-08-01_08_11_29-12703873027658243698]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-08-01_08_11_29-12703873027658243698
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-08-01_08_11_29-12703873027658243698?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-08-01_08_11_29-12703873027658243698 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-01T15:11:34.426Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-a.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-01T15:11:39.001Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-01T15:11:39.027Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-01T15:11:39.075Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-01T15:11:39.124Z: JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-01T15:11:39.151Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write steps
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-01T15:11:39.198Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-01T15:11:39.250Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-01T15:11:39.284Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-01T15:11:39.305Z: JOB_MESSAGE_DETAILED: Fusing consumer Read synthetic/Map(<lambda at iobase.py:911>) into Read synthetic/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-01T15:11:39.328Z: JOB_MESSAGE_DETAILED: Fusing consumer ref_AppliedPTransform_Read-synthetic-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction into Read synthetic/Map(<lambda at iobase.py:911>)
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-01T15:11:39.352Z: 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:2023-08-01T15:11:39.376Z: 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:2023-08-01T15:11:39.400Z: JOB_MESSAGE_DETAILED: Fusing consumer Combine with Top 0/KeyWithVoid into Measure time: Start
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-01T15:11:39.422Z: 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:2023-08-01T15:11:39.449Z: 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:2023-08-01T15:11:39.475Z: 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:2023-08-01T15:11:39.502Z: 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:2023-08-01T15:11:39.526Z: 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:2023-08-01T15:11:39.554Z: JOB_MESSAGE_DETAILED: Fusing consumer Consume 0 into Combine with Top 0/UnKey
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-01T15:11:39.578Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure time: End 0 into Consume 0
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-01T15:11:39.656Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-01T15:11:39.681Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-01T15:11:39.714Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-01T15:11:39.745Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-01T15:11:39.767Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-01T15:11:39.943Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-01T15:11:39.969Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-a...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-01T15:11:39.997Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-08-01_08_11_29-12703873027658243698 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-01T15:12:09.991Z: 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:2023-08-01T15:12:28.036Z: 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:2023-08-01T15:12:28.058Z: 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:2023-08-01T15:12:47.810Z: 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.
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INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-01T15:38:04.276Z: 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:2023-08-01T15:54:02.956Z: 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:2023-08-01T16:11:06.061Z: 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:2023-08-01T16:17:07.415Z: 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.
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INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-01T16:43:08.533Z: 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:2023-08-01T16:50:10.192Z: 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:2023-08-01T16:58:11.022Z: 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:2023-08-01T17:12:12.670Z: 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:2023-08-01T17:18:14.313Z: 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:2023-08-01T17:28:17.079Z: 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:2023-08-01T17:41:16.149Z: 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:2023-08-01T17:48:17.798Z: 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:2023-08-01T17:57:20.011Z: 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:2023-08-01T18:10:21.731Z: 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:2023-08-01T18:17:22.068Z: 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:2023-08-01T18:26:23.759Z: 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:2023-08-01T18:46:25.820Z: 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.
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INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-01T19:09:30.048Z: 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.
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INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-01T19:41:34.221Z: 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:2023-08-01T19:54:32.481Z: 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:Job 2023-08-01_08_11_29-12703873027658243698 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-01T20:01:09.281Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2023-08-01_08_11_29-12703873027658243698.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-01T20:01:09.310Z: JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-08-01T20:01:09.353Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
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Traceback (most recent call last):
File "/usr/lib/python3.8/runpy.py", line 194, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/usr/lib/python3.8/runpy.py", line 87, 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 748, in wait_until_finish
assert duration or terminated, (
AssertionError: Job did not reach to a terminal state after waiting indefinitely. Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2023-08-01_08_11_29-12703873027658243698?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: 63
* 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/7.6.2/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 4h 51m 47s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date
Publishing build scan...
https://ge.apache.org/s/sdocuylhds3dw
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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Build failed in Jenkins: beam_LoadTests_Python_Combine_Dataflow_Streaming #1072
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/1072/display/redirect?page=changes>
Changes:
[noreply] Bump mypy-protobuf from 3.4.0 to 3.5.0 in /sdks/python (#27750)
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Using cached PyJWT-2.8.0-py3-none-any.whl (22 kB)
Building wheels for collected packages: apache-beam
Building wheel for apache-beam (setup.py): started
Building wheel for apache-beam (setup.py): finished with status 'done'
Created wheel for apache-beam: filename=apache_beam-2.50.0.dev0-py3-none-any.whl size=3253091 sha256=7fce1326698312a10dc4da68129112987b49211ea7a11fe1d22b6dea6666794d
Stored in directory: /home/jenkins/.cache/pip/wheels/67/34/b8/5adce605a0a3f10491be234729fa4854c6a127bc01194f13fc
Successfully built apache-beam
Installing collected packages: sortedcontainers, pytz, docopt, crcmod, zstandard, wrapt, websocket-client, urllib3, typing-extensions, threadpoolctl, tenacity, sqlparse, six, shapely, scipy, regex, pyyaml, pyparsing, pymysql, PyJWT, pyhamcrest, pycparser, pyasn1, pyarrow, psycopg2-binary, protobuf, portalocker, parameterized, overrides, orjson, objsize, mock, joblib, jmespath, iniconfig, idna, greenlet, google-crc32c, fasteners, fastavro, execnet, exceptiongroup, dnspython, dill, deprecation, cloudpickle, charset-normalizer, certifi, attrs, sqlalchemy, scikit-learn, rsa, requests, python-dateutil, pytest, pymongo, pydot, pyasn1-modules, proto-plus, isodate, hypothesis, httplib2, googleapis-common-protos, google-resumable-media, cffi, requests_mock, pytest-xdist, pytest-timeout, pandas, oauth2client, hdfs, grpcio-status, google-auth, freezegun, docker, cryptography, botocore, azure-core, testcontainers, s3transfer, grpc-google-iam-v1, google-auth-httplib2, google-apitools, google-api-core, azure-storage-blob, apache-beam, msal, google-cloud-core, boto3, msal-extensions, google-cloud-vision, google-cloud-videointelligence, google-cloud-storage, google-cloud-spanner, google-cloud-resource-manager, google-cloud-recommendations-ai, google-cloud-pubsub, google-cloud-language, google-cloud-dlp, google-cloud-datastore, google-cloud-bigtable, google-cloud-bigquery-storage, google-cloud-bigquery, google-cloud-pubsublite, google-cloud-aiplatform, azure-identity
Attempting uninstall: protobuf
Found existing installation: protobuf 4.24.0rc2
Uninstalling protobuf-4.24.0rc2:
Successfully uninstalled protobuf-4.24.0rc2
Successfully installed PyJWT-2.8.0 apache-beam-2.50.0.dev0 attrs-23.1.0 azure-core-1.28.0 azure-identity-1.14.0b2 azure-storage-blob-12.17.0 boto3-1.28.15 botocore-1.31.15 certifi-2023.7.22 cffi-1.15.1 charset-normalizer-3.2.0 cloudpickle-2.2.1 crcmod-1.7 cryptography-41.0.2 deprecation-2.1.0 dill-0.3.1.1 dnspython-2.4.1 docker-6.1.3 docopt-0.6.2 exceptiongroup-1.1.2 execnet-2.0.2 fastavro-1.8.2 fasteners-0.18 freezegun-1.2.2 google-api-core-2.12.0.dev0 google-apitools-0.5.31 google-auth-2.22.0 google-auth-httplib2-0.1.0 google-cloud-aiplatform-1.28.1 google-cloud-bigquery-3.11.4 google-cloud-bigquery-storage-2.22.0 google-cloud-bigtable-2.20.0 google-cloud-core-2.3.3 google-cloud-datastore-2.16.1 google-cloud-dlp-3.12.2 google-cloud-language-2.10.1 google-cloud-pubsub-2.18.1 google-cloud-pubsublite-1.8.3 google-cloud-recommendations-ai-0.10.4 google-cloud-resource-manager-1.10.2 google-cloud-spanner-3.38.0 google-cloud-storage-2.10.0 google-cloud-videointelligence-2.11.3 google-cloud-vision-3.4.4 google-crc32c-1.5.0 google-resumable-media-2.5.0 googleapis-common-protos-1.60.0 greenlet-3.0.0a1 grpc-google-iam-v1-0.12.6 grpcio-status-1.57.0rc1 hdfs-2.7.0 httplib2-0.22.0 hypothesis-6.82.0 idna-3.4 iniconfig-2.0.0 isodate-0.6.1 jmespath-1.0.1 joblib-1.3.1 mock-5.1.0 msal-1.24.0b1 msal-extensions-1.0.0 oauth2client-4.1.3 objsize-0.6.1 orjson-3.9.2 overrides-6.5.0 pandas-1.5.3 parameterized-0.9.0 portalocker-2.7.0 proto-plus-1.22.3 protobuf-4.23.4 psycopg2-binary-2.9.6 pyarrow-11.0.0 pyasn1-0.5.0 pyasn1-modules-0.3.0 pycparser-2.21 pydot-1.4.2 pyhamcrest-2.0.4 pymongo-4.4.1 pymysql-1.1.0 pyparsing-3.1.1 pytest-7.4.0 pytest-timeout-2.1.0 pytest-xdist-3.3.1 python-dateutil-2.8.2 pytz-2023.3 pyyaml-6.0.1 regex-2023.6.3 requests-2.31.0 requests_mock-1.11.0 rsa-4.9 s3transfer-0.6.1 scikit-learn-1.3.0 scipy-1.10.1 shapely-1.8.5.post1 six-1.16.0 sortedcontainers-2.4.0 sqlalchemy-1.4.49 sqlparse-0.4.4 tenacity-8.2.2 testcontainers-3.7.1 threadpoolctl-3.2.0 typing-extensions-4.7.1 urllib3-1.26.16 websocket-client-1.6.1 wrapt-1.15.0 zstandard-0.21.0
> Task :sdks:python:apache_beam:testing:load_tests:run
INFO:apache_beam.runners.portability.stager:Copying Beam SDK "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/build/apache-beam.tar.gz"> 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 https://cloud.google.com/dataflow/docs/guides/using-custom-containers#prebuild
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717" for Docker 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 gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0731125349.1690816064.836777/dataflow_python_sdk.tar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0731125349.1690816064.836777/dataflow_python_sdk.tar in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0731125349.1690816064.836777/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0731125349.1690816064.836777/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20230731150744837724-8394'
createTime: '2023-07-31T15:07:45.798731Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2023-07-31_08_07_45-260901880506895938'
location: 'us-central1'
name: 'load-tests-python-dataflow-streaming-combine-1-0731125349'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2023-07-31T15:07:45.798731Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-07-31_08_07_45-260901880506895938]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-07-31_08_07_45-260901880506895938
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-07-31_08_07_45-260901880506895938?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-07-31_08_07_45-260901880506895938 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-31T15:07:51.673Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-31T15:07:52.683Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-31T15:07:52.709Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-31T15:07:52.759Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-31T15:07:52.816Z: JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-31T15:07:52.841Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write steps
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-31T15:07:52.891Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-31T15:07:52.963Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-31T15:07:53Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-31T15:07:53.026Z: JOB_MESSAGE_DETAILED: Fusing consumer Read synthetic/Map(<lambda at iobase.py:911>) into Read synthetic/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-31T15:07:53.045Z: JOB_MESSAGE_DETAILED: Fusing consumer ref_AppliedPTransform_Read-synthetic-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction into Read synthetic/Map(<lambda at iobase.py:911>)
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-31T15:07:53.073Z: 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:2023-07-31T15:07:53.108Z: 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:2023-07-31T15:07:53.135Z: JOB_MESSAGE_DETAILED: Fusing consumer Combine with Top 0/KeyWithVoid into Measure time: Start
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-31T15:07:53.161Z: 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:2023-07-31T15:07:53.180Z: 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:2023-07-31T15:07:53.203Z: 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:2023-07-31T15:07:53.229Z: 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:2023-07-31T15:07:53.262Z: 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:2023-07-31T15:07:53.285Z: JOB_MESSAGE_DETAILED: Fusing consumer Consume 0 into Combine with Top 0/UnKey
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-31T15:07:53.301Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure time: End 0 into Consume 0
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-31T15:07:53.372Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-31T15:07:53.391Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-31T15:07:53.415Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-31T15:07:53.452Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-31T15:07:53.484Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-31T15:07:53.665Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-31T15:07:53.683Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-31T15:07:53.737Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-07-31_08_07_45-260901880506895938 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-31T15:08:08.591Z: 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:2023-07-31T15:08:42.267Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 2 so that the pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-31T15:08:42.291Z: JOB_MESSAGE_DETAILED: Autoscaling: Resized **** pool to 2, though goal was 5. This could be a quota issue.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-31T15:08:52.178Z: 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:2023-07-31T15:09:19.049Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-31T15:09:31.207Z: JOB_MESSAGE_DETAILED: All ****s have finished the startup processes and began to receive work requests.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-31T15:40:55.381Z: 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:2023-07-31T15:41:58.988Z: 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:2023-07-31T16:13:29.874Z: 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:2023-07-31T16:14:00.925Z: 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:2023-07-31T16:46:10.715Z: 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:2023-07-31T16:47:12.300Z: 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:2023-07-31T17:13:03.230Z: 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:2023-07-31T17:18:05.693Z: 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:2023-07-31T17:41:09.191Z: 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:2023-07-31T17:49:08.671Z: 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:2023-07-31T18:09:11.095Z: 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:2023-07-31T18:19:14.237Z: 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:2023-07-31T18:32:14.528Z: 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:2023-07-31T18:43:17.613Z: 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:2023-07-31T18:54:16.773Z: 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:2023-07-31T19:12:18.904Z: 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:2023-07-31T19:35:20.860Z: 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:2023-07-31T19:37:33.771Z: 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:2023-07-31T20:00:26.579Z: 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 2023-07-31_08_07_45-260901880506895938 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-31T20:04:17.698Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2023-07-31_08_07_45-260901880506895938.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-31T20:04:17.729Z: JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-31T20:04:17.820Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-31T20:04:17.848Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-31T20:04:17.936Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-31T20:04:17.966Z: JOB_MESSAGE_BASIC: Stopping **** pool...
Traceback (most recent call last):
File "/usr/lib/python3.8/runpy.py", line 194, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/usr/lib/python3.8/runpy.py", line 87, 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 748, in wait_until_finish
assert duration or terminated, (
AssertionError: Job did not reach to a terminal state after waiting indefinitely. Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2023-07-31_08_07_45-260901880506895938?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: 63
* 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/7.6.2/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 4h 58m 49s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date
Publishing build scan...
https://ge.apache.org/s/gojxrgyjpqfis
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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> Task :sdks:python:apache_beam:testing:load_tests:run
INFO:apache_beam.runners.portability.stager:Copying Beam SDK "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/build/apache-beam.tar.gz"> 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 https://cloud.google.com/dataflow/docs/guides/using-custom-containers#prebuild
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717" for Docker 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 gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0730125346.1690729748.521107/dataflow_python_sdk.tar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0730125346.1690729748.521107/dataflow_python_sdk.tar in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0730125346.1690729748.521107/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0730125346.1690729748.521107/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
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INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-07-30_08_09_09-15702769279902594185]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-07-30_08_09_09-15702769279902594185
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-07-30_08_09_09-15702769279902594185?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-07-30_08_09_09-15702769279902594185 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-30T15:09:14.310Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-30T15:09:15.242Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-30T15:09:15.269Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-30T15:09:15.326Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-30T15:09:15.404Z: JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-30T15:09:15.426Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write steps
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-30T15:09:15.476Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-30T15:09:15.529Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-30T15:09:15.573Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-30T15:09:15.603Z: JOB_MESSAGE_DETAILED: Fusing consumer Read synthetic/Map(<lambda at iobase.py:911>) into Read synthetic/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-30T15:09:15.626Z: JOB_MESSAGE_DETAILED: Fusing consumer ref_AppliedPTransform_Read-synthetic-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction into Read synthetic/Map(<lambda at iobase.py:911>)
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-30T15:09:15.649Z: 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:2023-07-30T15:09:15.673Z: 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:2023-07-30T15:09:15.692Z: JOB_MESSAGE_DETAILED: Fusing consumer Combine with Top 0/KeyWithVoid into Measure time: Start
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-30T15:09:15.714Z: 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:2023-07-30T15:09:15.735Z: 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:2023-07-30T15:09:15.758Z: 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:2023-07-30T15:09:15.783Z: 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:2023-07-30T15:09:15.806Z: 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:2023-07-30T15:09:15.834Z: JOB_MESSAGE_DETAILED: Fusing consumer Consume 0 into Combine with Top 0/UnKey
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-30T15:09:15.856Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure time: End 0 into Consume 0
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-30T15:09:15.937Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-30T15:09:15.963Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-30T15:09:15.990Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-30T15:09:16.024Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-30T15:09:16.048Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-30T15:09:16.245Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-30T15:09:16.271Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-30T15:09:16.318Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-07-30_08_09_09-15702769279902594185 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-30T15:09:52.566Z: 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:2023-07-30T15:09:59.641Z: 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:2023-07-30T15:09:59.664Z: 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:2023-07-30T15:10:09.560Z: 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:2023-07-30T15:10:34.424Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-30T15:10:46.346Z: JOB_MESSAGE_DETAILED: All ****s have finished the startup processes and began to receive work requests.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-30T15:42:11.870Z: 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:2023-07-30T15:43:13.563Z: 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:2023-07-30T16:15:15.668Z: 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:2023-07-30T16:16:17.167Z: 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:2023-07-30T16:47:21.129Z: 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:2023-07-30T16:48:19.960Z: 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:2023-07-30T17:19:23.512Z: 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:2023-07-30T17:20:25.451Z: 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:2023-07-30T17:51:23.787Z: 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:2023-07-30T17:52:25.250Z: 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:2023-07-30T18:16:39.924Z: 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:2023-07-30T18:22:27.386Z: 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:2023-07-30T18:44:31.213Z: 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:2023-07-30T18:47:33.262Z: 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:2023-07-30T19:16:34.935Z: 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:2023-07-30T19:18:33.820Z: 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:2023-07-30T19:41:38.018Z: 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:2023-07-30T19:56:36.010Z: 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:2023-07-30T20:00:40.986Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2023-07-30_08_09_09-15702769279902594185.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-30T20:00:41.035Z: JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-30T20:00:41.188Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-30T20:00:41.215Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-30T20:00:41.247Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-30T20:00:41.367Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-07-30_08_09_09-15702769279902594185 is in state JOB_STATE_CANCELLING
Traceback (most recent call last):
File "/usr/lib/python3.8/runpy.py", line 194, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/usr/lib/python3.8/runpy.py", line 87, 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 748, in wait_until_finish
assert duration or terminated, (
AssertionError: Job did not reach to a terminal state after waiting indefinitely. Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2023-07-30_08_09_09-15702769279902594185?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: 63
* 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/7.6.2/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 4h 55m 8s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date
Publishing build scan...
https://ge.apache.org/s/ytkvvs2jc4naa
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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Build failed in Jenkins: beam_LoadTests_Python_Combine_Dataflow_Streaming #1070
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/1070/display/redirect>
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Building wheels for collected packages: apache-beam
Building wheel for apache-beam (setup.py): started
Building wheel for apache-beam (setup.py): finished with status 'done'
Created wheel for apache-beam: filename=apache_beam-2.50.0.dev0-py3-none-any.whl size=3252728 sha256=5cae20af512c7cf1082e77e4258f77db8e3e4d4faafac3371cedf4f93234c746
Stored in directory: /home/jenkins/.cache/pip/wheels/67/34/b8/5adce605a0a3f10491be234729fa4854c6a127bc01194f13fc
Successfully built apache-beam
Installing collected packages: sortedcontainers, pytz, docopt, crcmod, zstandard, wrapt, websocket-client, urllib3, typing-extensions, threadpoolctl, tenacity, sqlparse, six, shapely, scipy, regex, pyyaml, pyparsing, pymysql, PyJWT, pyhamcrest, pycparser, pyasn1, pyarrow, psycopg2-binary, protobuf, portalocker, parameterized, overrides, orjson, objsize, mock, joblib, jmespath, iniconfig, idna, greenlet, google-crc32c, fasteners, fastavro, execnet, exceptiongroup, dnspython, dill, deprecation, cloudpickle, charset-normalizer, certifi, attrs, sqlalchemy, scikit-learn, rsa, requests, python-dateutil, pytest, pymongo, pydot, pyasn1-modules, proto-plus, isodate, hypothesis, httplib2, googleapis-common-protos, google-resumable-media, cffi, requests_mock, pytest-xdist, pytest-timeout, pandas, oauth2client, hdfs, grpcio-status, google-auth, freezegun, docker, cryptography, botocore, azure-core, testcontainers, s3transfer, grpc-google-iam-v1, google-auth-httplib2, google-apitools, google-api-core, azure-storage-blob, apache-beam, msal, google-cloud-core, boto3, msal-extensions, google-cloud-vision, google-cloud-videointelligence, google-cloud-storage, google-cloud-spanner, google-cloud-resource-manager, google-cloud-recommendations-ai, google-cloud-pubsub, google-cloud-language, google-cloud-dlp, google-cloud-datastore, google-cloud-bigtable, google-cloud-bigquery-storage, google-cloud-bigquery, google-cloud-pubsublite, google-cloud-aiplatform, azure-identity
Attempting uninstall: protobuf
Found existing installation: protobuf 4.24.0rc2
Uninstalling protobuf-4.24.0rc2:
Successfully uninstalled protobuf-4.24.0rc2
Successfully installed PyJWT-2.8.0 apache-beam-2.50.0.dev0 attrs-23.1.0 azure-core-1.28.0 azure-identity-1.14.0b2 azure-storage-blob-12.17.0 boto3-1.28.15 botocore-1.31.15 certifi-2023.7.22 cffi-1.15.1 charset-normalizer-3.2.0 cloudpickle-2.2.1 crcmod-1.7 cryptography-41.0.2 deprecation-2.1.0 dill-0.3.1.1 dnspython-2.4.1 docker-6.1.3 docopt-0.6.2 exceptiongroup-1.1.2 execnet-2.0.2 fastavro-1.8.2 fasteners-0.18 freezegun-1.2.2 google-api-core-2.12.0.dev0 google-apitools-0.5.31 google-auth-2.22.0 google-auth-httplib2-0.1.0 google-cloud-aiplatform-1.28.1 google-cloud-bigquery-3.11.4 google-cloud-bigquery-storage-2.22.0 google-cloud-bigtable-2.20.0 google-cloud-core-2.3.3 google-cloud-datastore-2.16.1 google-cloud-dlp-3.12.2 google-cloud-language-2.10.1 google-cloud-pubsub-2.18.1 google-cloud-pubsublite-1.8.3 google-cloud-recommendations-ai-0.10.4 google-cloud-resource-manager-1.10.2 google-cloud-spanner-3.38.0 google-cloud-storage-2.10.0 google-cloud-videointelligence-2.11.3 google-cloud-vision-3.4.4 google-crc32c-1.5.0 google-resumable-media-2.5.0 googleapis-common-protos-1.59.1 greenlet-3.0.0a1 grpc-google-iam-v1-0.12.6 grpcio-status-1.57.0rc1 hdfs-2.7.0 httplib2-0.22.0 hypothesis-6.82.0 idna-3.4 iniconfig-2.0.0 isodate-0.6.1 jmespath-1.0.1 joblib-1.3.1 mock-5.1.0 msal-1.24.0b1 msal-extensions-1.0.0 oauth2client-4.1.3 objsize-0.6.1 orjson-3.9.2 overrides-6.5.0 pandas-1.5.3 parameterized-0.9.0 portalocker-2.7.0 proto-plus-1.22.3 protobuf-4.23.4 psycopg2-binary-2.9.6 pyarrow-11.0.0 pyasn1-0.5.0 pyasn1-modules-0.3.0 pycparser-2.21 pydot-1.4.2 pyhamcrest-2.0.4 pymongo-4.4.1 pymysql-1.1.0 pyparsing-3.1.0 pytest-7.4.0 pytest-timeout-2.1.0 pytest-xdist-3.3.1 python-dateutil-2.8.2 pytz-2023.3 pyyaml-6.0.1 regex-2023.6.3 requests-2.31.0 requests_mock-1.11.0 rsa-4.9 s3transfer-0.6.1 scikit-learn-1.3.0 scipy-1.10.1 shapely-1.8.5.post1 six-1.16.0 sortedcontainers-2.4.0 sqlalchemy-1.4.49 sqlparse-0.4.4 tenacity-8.2.2 testcontainers-3.7.1 threadpoolctl-3.2.0 typing-extensions-4.7.1 urllib3-1.26.16 websocket-client-1.6.1 wrapt-1.15.0 zstandard-0.21.0
> Task :sdks:python:apache_beam:testing:load_tests:run
INFO:apache_beam.runners.portability.stager:Copying Beam SDK "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/build/apache-beam.tar.gz"> 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 https://cloud.google.com/dataflow/docs/guides/using-custom-containers#prebuild
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717" for Docker 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 gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0729125344.1690643269.638100/dataflow_python_sdk.tar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0729125344.1690643269.638100/dataflow_python_sdk.tar in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0729125344.1690643269.638100/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0729125344.1690643269.638100/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20230729150749639060-2323'
createTime: '2023-07-29T15:07:50.935767Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2023-07-29_08_07_49-3071323599155426221'
location: 'us-central1'
name: 'load-tests-python-dataflow-streaming-combine-1-0729125344'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2023-07-29T15:07:50.935767Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-07-29_08_07_49-3071323599155426221]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-07-29_08_07_49-3071323599155426221
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-07-29_08_07_49-3071323599155426221?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-07-29_08_07_49-3071323599155426221 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-29T15:07:55.399Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-29T15:07:56.731Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-29T15:07:56.752Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-29T15:07:56.811Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-29T15:07:56.868Z: JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-29T15:07:56.891Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write steps
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-29T15:07:56.934Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-29T15:07:56.981Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-29T15:07:57.020Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-29T15:07:57.043Z: JOB_MESSAGE_DETAILED: Fusing consumer Read synthetic/Map(<lambda at iobase.py:911>) into Read synthetic/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-29T15:07:57.065Z: JOB_MESSAGE_DETAILED: Fusing consumer ref_AppliedPTransform_Read-synthetic-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction into Read synthetic/Map(<lambda at iobase.py:911>)
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-29T15:07:57.088Z: 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:2023-07-29T15:07:57.111Z: 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:2023-07-29T15:07:57.136Z: JOB_MESSAGE_DETAILED: Fusing consumer Combine with Top 0/KeyWithVoid into Measure time: Start
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-29T15:07:57.160Z: 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:2023-07-29T15:07:57.184Z: 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:2023-07-29T15:07:57.208Z: 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:2023-07-29T15:07:57.233Z: 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:2023-07-29T15:07:57.255Z: 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:2023-07-29T15:07:57.280Z: JOB_MESSAGE_DETAILED: Fusing consumer Consume 0 into Combine with Top 0/UnKey
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-29T15:07:57.299Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure time: End 0 into Consume 0
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-29T15:07:57.384Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-29T15:07:57.406Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-29T15:07:57.429Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-29T15:07:57.455Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-29T15:07:57.473Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-29T15:07:57.658Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-29T15:07:57.679Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-29T15:07:57.721Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-07-29_08_07_49-3071323599155426221 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-29T15:08:26.181Z: 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:2023-07-29T15:08:41.660Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 1 so that the pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-29T15:08:41.685Z: JOB_MESSAGE_DETAILED: Autoscaling: Resized **** pool to 1, though goal was 5. This could be a quota issue.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-29T15:08:50.940Z: 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:2023-07-29T15:08:50.964Z: 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:2023-07-29T15:09:00.924Z: 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:2023-07-29T15:09:18.148Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-29T15:09:30.027Z: JOB_MESSAGE_DETAILED: All ****s have finished the startup processes and began to receive work requests.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-29T15:40:53.005Z: 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:2023-07-29T15:41:56.997Z: 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:2023-07-29T16:11:55.542Z: 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:2023-07-29T16:12:58.067Z: 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:2023-07-29T16:37:01.212Z: 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:2023-07-29T16:45:02.723Z: 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:2023-07-29T17:04:01.832Z: 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:2023-07-29T17:09:13.895Z: 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:2023-07-29T17:41:06.230Z: 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:2023-07-29T17:59:07.790Z: 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:2023-07-29T18:10:10.467Z: 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:2023-07-29T18:11:12.783Z: 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:2023-07-29T18:23:15.092Z: 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:2023-07-29T18:34:17.856Z: 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:2023-07-29T18:42:29.734Z: 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:2023-07-29T18:53:18.095Z: 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:2023-07-29T19:03:20.491Z: 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:2023-07-29T19:11:22.067Z: 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:2023-07-29T19:21:23.737Z: 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:2023-07-29T19:31:26.183Z: 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:2023-07-29T19:40:27.524Z: 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:2023-07-29T19:44:28.850Z: 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:2023-07-29T19:59:30.910Z: 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 2023-07-29_08_07_49-3071323599155426221 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-29T20:00:59.882Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2023-07-29_08_07_49-3071323599155426221.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-29T20:00:59.913Z: JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-29T20:00:59.960Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-29T20:00:59.981Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-29T20:01:00.007Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-29T20:01:00.030Z: JOB_MESSAGE_BASIC: Stopping **** pool...
Traceback (most recent call last):
File "/usr/lib/python3.8/runpy.py", line 194, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/usr/lib/python3.8/runpy.py", line 87, 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 748, in wait_until_finish
assert duration or terminated, (
AssertionError: Job did not reach to a terminal state after waiting indefinitely. Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2023-07-29_08_07_49-3071323599155426221?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: 63
* 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/7.6.2/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 4h 55m 25s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date
Publishing build scan...
https://ge.apache.org/s/f2auxh6pfxtks
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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Build failed in Jenkins: beam_LoadTests_Python_Combine_Dataflow_Streaming #1069
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/1069/display/redirect>
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Building wheels for collected packages: apache-beam
Building wheel for apache-beam (setup.py): started
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Created wheel for apache-beam: filename=apache_beam-2.50.0.dev0-py3-none-any.whl size=3252743 sha256=fcee563a691e6ceb9af05929ec55d51d479adad5219abe87676187dc9b9f31d7
Stored in directory: /home/jenkins/.cache/pip/wheels/67/34/b8/5adce605a0a3f10491be234729fa4854c6a127bc01194f13fc
Successfully built apache-beam
Installing collected packages: sortedcontainers, pytz, docopt, crcmod, zstandard, wrapt, websocket-client, urllib3, typing-extensions, threadpoolctl, tenacity, sqlparse, six, shapely, scipy, regex, pyyaml, pyparsing, pymysql, PyJWT, pyhamcrest, pycparser, pyasn1, pyarrow, psycopg2-binary, protobuf, portalocker, parameterized, overrides, orjson, objsize, mock, joblib, jmespath, iniconfig, idna, greenlet, google-crc32c, fasteners, fastavro, execnet, exceptiongroup, dnspython, dill, deprecation, cloudpickle, charset-normalizer, certifi, attrs, sqlalchemy, scikit-learn, rsa, requests, python-dateutil, pytest, pymongo, pydot, pyasn1-modules, proto-plus, isodate, hypothesis, httplib2, googleapis-common-protos, google-resumable-media, cffi, requests_mock, pytest-xdist, pytest-timeout, pandas, oauth2client, hdfs, grpcio-status, google-auth, freezegun, docker, cryptography, botocore, azure-core, testcontainers, s3transfer, grpc-google-iam-v1, google-auth-httplib2, google-apitools, google-api-core, azure-storage-blob, apache-beam, msal, google-cloud-core, boto3, msal-extensions, google-cloud-vision, google-cloud-videointelligence, google-cloud-storage, google-cloud-spanner, google-cloud-resource-manager, google-cloud-recommendations-ai, google-cloud-pubsub, google-cloud-language, google-cloud-dlp, google-cloud-datastore, google-cloud-bigtable, google-cloud-bigquery-storage, google-cloud-bigquery, google-cloud-pubsublite, google-cloud-aiplatform, azure-identity
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> Task :sdks:python:apache_beam:testing:load_tests:run
INFO:apache_beam.runners.portability.stager:Copying Beam SDK "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/build/apache-beam.tar.gz"> 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 https://cloud.google.com/dataflow/docs/guides/using-custom-containers#prebuild
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717" for Docker 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 gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0728125346.1690556879.856262/dataflow_python_sdk.tar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0728125346.1690556879.856262/dataflow_python_sdk.tar in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0728125346.1690556879.856262/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0728125346.1690556879.856262/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20230728150759857316-7777'
createTime: '2023-07-28T15:08:00.994482Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2023-07-28_08_08_00-6070257169298620983'
location: 'us-central1'
name: 'load-tests-python-dataflow-streaming-combine-1-0728125346'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2023-07-28T15:08:00.994482Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-07-28_08_08_00-6070257169298620983]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-07-28_08_08_00-6070257169298620983
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-07-28_08_08_00-6070257169298620983?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-07-28_08_08_00-6070257169298620983 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-28T15:08:06.882Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-28T15:08:09.489Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-28T15:08:09.520Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-28T15:08:09.586Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-28T15:08:09.665Z: JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-28T15:08:09.693Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write steps
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-28T15:08:09.743Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-28T15:08:09.798Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-28T15:08:09.852Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-28T15:08:09.878Z: JOB_MESSAGE_DETAILED: Fusing consumer Read synthetic/Map(<lambda at iobase.py:911>) into Read synthetic/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-28T15:08:09.901Z: JOB_MESSAGE_DETAILED: Fusing consumer ref_AppliedPTransform_Read-synthetic-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction into Read synthetic/Map(<lambda at iobase.py:911>)
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-28T15:08:09.925Z: 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:2023-07-28T15:08:09.952Z: 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:2023-07-28T15:08:09.973Z: JOB_MESSAGE_DETAILED: Fusing consumer Combine with Top 0/KeyWithVoid into Measure time: Start
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-28T15:08:10.003Z: 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:2023-07-28T15:08:10.037Z: 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:2023-07-28T15:08:10.060Z: 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:2023-07-28T15:08:10.107Z: 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:2023-07-28T15:08:10.134Z: 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:2023-07-28T15:08:10.165Z: JOB_MESSAGE_DETAILED: Fusing consumer Consume 0 into Combine with Top 0/UnKey
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-28T15:08:10.189Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure time: End 0 into Consume 0
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-28T15:08:10.297Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-28T15:08:10.324Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-28T15:08:10.350Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-28T15:08:10.377Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-28T15:08:10.398Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-28T15:08:10.565Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-28T15:08:10.588Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-28T15:08:10.640Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-07-28_08_08_00-6070257169298620983 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-28T15:08:24.491Z: 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:2023-07-28T15:08:57.718Z: 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:2023-07-28T15:09:29.899Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-28T15:09:38.981Z: JOB_MESSAGE_DETAILED: All ****s have finished the startup processes and began to receive work requests.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-28T15:33:19.213Z: 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:2023-07-28T15:48:10.928Z: 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:2023-07-28T16:01:12.308Z: 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:2023-07-28T16:18:16.376Z: 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:2023-07-28T16:31:14.528Z: 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:2023-07-28T16:47:57.313Z: 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:2023-07-28T17:01:26.979Z: 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:2023-07-28T17:17:21.775Z: 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:2023-07-28T17:30:23.531Z: 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:2023-07-28T17:40:23.357Z: 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:2023-07-28T17:59:21.660Z: 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:2023-07-28T18:12:25.109Z: 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:2023-07-28T18:28:27.075Z: 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:2023-07-28T18:39:28.564Z: 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:2023-07-28T18:56:30.884Z: 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:2023-07-28T19:09:03.050Z: 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:2023-07-28T19:25:31.448Z: 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:2023-07-28T19:38:34.960Z: 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:2023-07-28T19:48:36.599Z: 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:2023-07-28T20:06:38.478Z: 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:2023-07-28T20:07:18.900Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2023-07-28_08_08_00-6070257169298620983.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-28T20:07:18.931Z: JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-28T20:07:18.990Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-28T20:07:19.011Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-28T20:07:19.030Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-28T20:07:19.048Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-07-28_08_08_00-6070257169298620983 is in state JOB_STATE_CANCELLING
Traceback (most recent call last):
File "/usr/lib/python3.8/runpy.py", line 194, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/usr/lib/python3.8/runpy.py", line 87, 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 748, in wait_until_finish
assert duration or terminated, (
AssertionError: Job did not reach to a terminal state after waiting indefinitely. Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2023-07-28_08_08_00-6070257169298620983?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: 63
* 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/7.6.2/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 5h 1m 54s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date
Publishing build scan...
https://ge.apache.org/s/nfhp6ekspkhdq
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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Build failed in Jenkins: beam_LoadTests_Python_Combine_Dataflow_Streaming #1068
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/1068/display/redirect>
Changes:
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Building wheels for collected packages: apache-beam
Building wheel for apache-beam (setup.py): started
Building wheel for apache-beam (setup.py): finished with status 'done'
Created wheel for apache-beam: filename=apache_beam-2.50.0.dev0-py3-none-any.whl size=3252668 sha256=6d07f406534158d428089ba5b3a333350c2e9fbbc25f51fc5bf0822f3ded45d6
Stored in directory: /home/jenkins/.cache/pip/wheels/67/34/b8/5adce605a0a3f10491be234729fa4854c6a127bc01194f13fc
Successfully built apache-beam
Installing collected packages: sortedcontainers, pytz, docopt, crcmod, zstandard, wrapt, websocket-client, urllib3, typing-extensions, threadpoolctl, tenacity, sqlparse, six, shapely, scipy, regex, pyyaml, pyparsing, pymysql, PyJWT, pyhamcrest, pycparser, pyasn1, pyarrow, psycopg2-binary, protobuf, portalocker, parameterized, overrides, orjson, objsize, mock, joblib, jmespath, iniconfig, idna, greenlet, google-crc32c, fasteners, fastavro, execnet, exceptiongroup, dnspython, dill, deprecation, cloudpickle, charset-normalizer, certifi, attrs, sqlalchemy, scikit-learn, rsa, requests, python-dateutil, pytest, pymongo, pydot, pyasn1-modules, proto-plus, isodate, hypothesis, httplib2, googleapis-common-protos, google-resumable-media, cffi, requests_mock, pytest-xdist, pytest-timeout, pandas, oauth2client, hdfs, grpcio-status, google-auth, freezegun, docker, cryptography, botocore, azure-core, testcontainers, s3transfer, grpc-google-iam-v1, google-auth-httplib2, google-apitools, google-api-core, azure-storage-blob, apache-beam, msal, google-cloud-core, boto3, msal-extensions, google-cloud-vision, google-cloud-videointelligence, google-cloud-storage, google-cloud-spanner, google-cloud-resource-manager, google-cloud-recommendations-ai, google-cloud-pubsub, google-cloud-language, google-cloud-dlp, google-cloud-datastore, google-cloud-bigtable, google-cloud-bigquery-storage, google-cloud-bigquery, google-cloud-pubsublite, google-cloud-aiplatform, azure-identity
Attempting uninstall: protobuf
Found existing installation: protobuf 4.24.0rc2
Uninstalling protobuf-4.24.0rc2:
Successfully uninstalled protobuf-4.24.0rc2
Successfully installed PyJWT-2.8.0 apache-beam-2.50.0.dev0 attrs-23.1.0 azure-core-1.28.0 azure-identity-1.14.0b2 azure-storage-blob-12.17.0 boto3-1.28.12 botocore-1.31.12 certifi-2023.7.22 cffi-1.15.1 charset-normalizer-3.2.0 cloudpickle-2.2.1 crcmod-1.7 cryptography-41.0.2 deprecation-2.1.0 dill-0.3.1.1 dnspython-2.4.1 docker-6.1.3 docopt-0.6.2 exceptiongroup-1.1.2 execnet-2.0.2 fastavro-1.8.2 fasteners-0.18 freezegun-1.2.2 google-api-core-2.12.0.dev0 google-apitools-0.5.31 google-auth-2.22.0 google-auth-httplib2-0.1.0 google-cloud-aiplatform-1.28.1 google-cloud-bigquery-3.11.4 google-cloud-bigquery-storage-2.22.0 google-cloud-bigtable-2.20.0 google-cloud-core-2.3.3 google-cloud-datastore-2.16.1 google-cloud-dlp-3.12.2 google-cloud-language-2.10.1 google-cloud-pubsub-2.18.1 google-cloud-pubsublite-1.8.3 google-cloud-recommendations-ai-0.10.4 google-cloud-resource-manager-1.10.2 google-cloud-spanner-3.38.0 google-cloud-storage-2.10.0 google-cloud-videointelligence-2.11.3 google-cloud-vision-3.4.4 google-crc32c-1.5.0 google-resumable-media-2.5.0 googleapis-common-protos-1.59.1 greenlet-3.0.0a1 grpc-google-iam-v1-0.12.6 grpcio-status-1.57.0rc1 hdfs-2.7.0 httplib2-0.22.0 hypothesis-6.82.0 idna-3.4 iniconfig-2.0.0 isodate-0.6.1 jmespath-1.0.1 joblib-1.3.1 mock-5.1.0 msal-1.24.0b1 msal-extensions-1.0.0 oauth2client-4.1.3 objsize-0.6.1 orjson-3.9.2 overrides-6.5.0 pandas-1.5.3 parameterized-0.9.0 portalocker-2.7.0 proto-plus-1.22.3 protobuf-4.23.4 psycopg2-binary-2.9.6 pyarrow-11.0.0 pyasn1-0.5.0 pyasn1-modules-0.3.0 pycparser-2.21 pydot-1.4.2 pyhamcrest-2.0.4 pymongo-4.4.1 pymysql-1.1.0 pyparsing-3.1.0 pytest-7.4.0 pytest-timeout-2.1.0 pytest-xdist-3.3.1 python-dateutil-2.8.2 pytz-2023.3 pyyaml-6.0.1 regex-2023.6.3 requests-2.31.0 requests_mock-1.11.0 rsa-4.9 s3transfer-0.6.1 scikit-learn-1.3.0 scipy-1.10.1 shapely-1.8.5.post1 six-1.16.0 sortedcontainers-2.4.0 sqlalchemy-1.4.49 sqlparse-0.4.4 tenacity-8.2.2 testcontainers-3.7.1 threadpoolctl-3.2.0 typing-extensions-4.7.1 urllib3-1.26.16 websocket-client-1.6.1 wrapt-1.15.0 zstandard-0.21.0
> Task :sdks:python:apache_beam:testing:load_tests:run
INFO:apache_beam.runners.portability.stager:Copying Beam SDK "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/build/apache-beam.tar.gz"> 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 https://cloud.google.com/dataflow/docs/guides/using-custom-containers#prebuild
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717" for Docker 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 gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0727125337.1690470468.246070/dataflow_python_sdk.tar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0727125337.1690470468.246070/dataflow_python_sdk.tar in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0727125337.1690470468.246070/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0727125337.1690470468.246070/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20230727150748247045-8404'
createTime: '2023-07-27T15:07:49.181332Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2023-07-27_08_07_48-12119974394004858790'
location: 'us-central1'
name: 'load-tests-python-dataflow-streaming-combine-1-0727125337'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2023-07-27T15:07:49.181332Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-07-27_08_07_48-12119974394004858790]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-07-27_08_07_48-12119974394004858790
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-07-27_08_07_48-12119974394004858790?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-07-27_08_07_48-12119974394004858790 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-27T15:07:55.087Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-27T15:07:56.502Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-27T15:07:56.534Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-27T15:07:56.598Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-27T15:07:56.662Z: JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-27T15:07:56.688Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write steps
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-27T15:07:56.759Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-27T15:07:56.807Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-27T15:07:56.842Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-27T15:07:56.869Z: JOB_MESSAGE_DETAILED: Fusing consumer Read synthetic/Map(<lambda at iobase.py:911>) into Read synthetic/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-27T15:07:56.889Z: JOB_MESSAGE_DETAILED: Fusing consumer ref_AppliedPTransform_Read-synthetic-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction into Read synthetic/Map(<lambda at iobase.py:911>)
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-27T15:07:56.915Z: 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:2023-07-27T15:07:56.933Z: 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:2023-07-27T15:07:56.953Z: JOB_MESSAGE_DETAILED: Fusing consumer Combine with Top 0/KeyWithVoid into Measure time: Start
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-27T15:07:56.974Z: 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:2023-07-27T15:07:56.997Z: 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:2023-07-27T15:07:57.022Z: 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:2023-07-27T15:07:57.049Z: 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:2023-07-27T15:07:57.068Z: 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:2023-07-27T15:07:57.093Z: JOB_MESSAGE_DETAILED: Fusing consumer Consume 0 into Combine with Top 0/UnKey
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-27T15:07:57.121Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure time: End 0 into Consume 0
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-27T15:07:57.205Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-27T15:07:57.227Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-27T15:07:57.251Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-27T15:07:57.282Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-27T15:07:57.306Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-27T15:07:57.494Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-27T15:07:57.514Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-27T15:07:57.676Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-07-27_08_07_48-12119974394004858790 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-27T15:08:09.691Z: 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:2023-07-27T15:08:54.694Z: 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:2023-07-27T15:09:23.504Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-27T15:09:35.575Z: JOB_MESSAGE_DETAILED: All ****s have finished the startup processes and began to receive work requests.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-27T15:39:56.734Z: 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:2023-07-27T15:41:00.722Z: 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:2023-07-27T16:10:59.140Z: 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:2023-07-27T16:21:00.690Z: 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:2023-07-27T16:40:01.611Z: 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:2023-07-27T16:50:03.831Z: 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:2023-07-27T17:19:04.775Z: 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:2023-07-27T17:41:05.822Z: 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:2023-07-27T17:50:06.024Z: 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:2023-07-27T18:03:08.400Z: 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:2023-07-27T18:12:13.407Z: 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:2023-07-27T18:25:11.742Z: 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:2023-07-27T18:36:14.358Z: 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:2023-07-27T18:54:17.750Z: 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:2023-07-27T19:01:20.297Z: 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:2023-07-27T19:16:19.489Z: 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:2023-07-27T19:25:20.284Z: 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:2023-07-27T19:44:21.212Z: 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:2023-07-27T19:50:25.925Z: 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 2023-07-27_08_07_48-12119974394004858790 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-27T20:00:39.744Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2023-07-27_08_07_48-12119974394004858790.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-27T20:00:39.782Z: JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-27T20:00:39.838Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-27T20:00:39.860Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-27T20:00:39.884Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-27T20:00:39.905Z: JOB_MESSAGE_BASIC: Stopping **** pool...
Traceback (most recent call last):
File "/usr/lib/python3.8/runpy.py", line 194, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/usr/lib/python3.8/runpy.py", line 87, 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 748, in wait_until_finish
assert duration or terminated, (
AssertionError: Job did not reach to a terminal state after waiting indefinitely. Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2023-07-27_08_07_48-12119974394004858790?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: 63
* 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/7.6.2/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 4h 54m 58s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date
Publishing build scan...
https://ge.apache.org/s/msntt4mfouulk
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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Build failed in Jenkins: beam_LoadTests_Python_Combine_Dataflow_Streaming #1067
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/1067/display/redirect>
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Building wheels for collected packages: apache-beam
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Successfully built apache-beam
Installing collected packages: sortedcontainers, pytz, docopt, crcmod, zstandard, wrapt, websocket-client, urllib3, typing-extensions, threadpoolctl, tenacity, sqlparse, six, shapely, scipy, regex, pyyaml, pyparsing, pymysql, PyJWT, pyhamcrest, pycparser, pyasn1, pyarrow, psycopg2-binary, protobuf, portalocker, parameterized, overrides, orjson, objsize, mock, joblib, jmespath, iniconfig, idna, greenlet, google-crc32c, fasteners, fastavro, execnet, exceptiongroup, dnspython, dill, deprecation, cloudpickle, charset-normalizer, certifi, attrs, sqlalchemy, scikit-learn, rsa, requests, python-dateutil, pytest, pymongo, pydot, pyasn1-modules, proto-plus, isodate, hypothesis, httplib2, googleapis-common-protos, google-resumable-media, cffi, requests_mock, pytest-xdist, pytest-timeout, pandas, oauth2client, hdfs, grpcio-status, google-auth, freezegun, docker, cryptography, botocore, azure-core, testcontainers, s3transfer, grpc-google-iam-v1, google-auth-httplib2, google-apitools, google-api-core, azure-storage-blob, apache-beam, msal, google-cloud-core, boto3, msal-extensions, google-cloud-vision, google-cloud-videointelligence, google-cloud-storage, google-cloud-spanner, google-cloud-resource-manager, google-cloud-recommendations-ai, google-cloud-pubsub, google-cloud-language, google-cloud-dlp, google-cloud-datastore, google-cloud-bigtable, google-cloud-bigquery-storage, google-cloud-bigquery, google-cloud-pubsublite, google-cloud-aiplatform, azure-identity
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Found existing installation: protobuf 4.24.0rc2
Uninstalling protobuf-4.24.0rc2:
Successfully uninstalled protobuf-4.24.0rc2
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> Task :sdks:python:apache_beam:testing:load_tests:run
INFO:apache_beam.runners.portability.stager:Copying Beam SDK "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/build/apache-beam.tar.gz"> 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 https://cloud.google.com/dataflow/docs/guides/using-custom-containers#prebuild
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717" for Docker 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 gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0726125353.1690384083.280836/dataflow_python_sdk.tar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0726125353.1690384083.280836/dataflow_python_sdk.tar in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0726125353.1690384083.280836/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0726125353.1690384083.280836/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20230726150803281951-8766'
createTime: '2023-07-26T15:08:04.201737Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2023-07-26_08_08_03-13321383092475259698'
location: 'us-central1'
name: 'load-tests-python-dataflow-streaming-combine-1-0726125353'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2023-07-26T15:08:04.201737Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-07-26_08_08_03-13321383092475259698]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-07-26_08_08_03-13321383092475259698
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-07-26_08_08_03-13321383092475259698?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-07-26_08_08_03-13321383092475259698 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-26T15:08:07.874Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-26T15:08:09.395Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-26T15:08:09.421Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-26T15:08:09.468Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-26T15:08:09.525Z: JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-26T15:08:09.546Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write steps
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-26T15:08:09.598Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-26T15:08:09.646Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-26T15:08:09.677Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-26T15:08:09.700Z: JOB_MESSAGE_DETAILED: Fusing consumer Read synthetic/Map(<lambda at iobase.py:911>) into Read synthetic/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-26T15:08:09.726Z: JOB_MESSAGE_DETAILED: Fusing consumer ref_AppliedPTransform_Read-synthetic-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction into Read synthetic/Map(<lambda at iobase.py:911>)
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-26T15:08:09.748Z: 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:2023-07-26T15:08:09.769Z: 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:2023-07-26T15:08:09.791Z: JOB_MESSAGE_DETAILED: Fusing consumer Combine with Top 0/KeyWithVoid into Measure time: Start
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-26T15:08:09.816Z: 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:2023-07-26T15:08:09.843Z: 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:2023-07-26T15:08:09.867Z: 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:2023-07-26T15:08:09.893Z: 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:2023-07-26T15:08:09.919Z: 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:2023-07-26T15:08:09.938Z: JOB_MESSAGE_DETAILED: Fusing consumer Consume 0 into Combine with Top 0/UnKey
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-26T15:08:09.961Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure time: End 0 into Consume 0
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-26T15:08:10.033Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-26T15:08:10.057Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-26T15:08:10.085Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-26T15:08:10.115Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-26T15:08:10.142Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-26T15:08:10.298Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-26T15:08:10.320Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-26T15:08:10.359Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-07-26_08_08_03-13321383092475259698 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-26T15:08:19.528Z: 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:2023-07-26T15:09:06.464Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 2 so that the pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-26T15:09:06.484Z: JOB_MESSAGE_DETAILED: Autoscaling: Resized **** pool to 2, though goal was 5. This could be a quota issue.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-26T15:09:16.406Z: 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:2023-07-26T15:09:45.719Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-26T15:09:56.529Z: JOB_MESSAGE_DETAILED: All ****s have finished the startup processes and began to receive work requests.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-26T15:39:19.539Z: 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:2023-07-26T15:41:21.256Z: 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:2023-07-26T15:42:32.686Z: 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:2023-07-26T16:03:25.171Z: 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:2023-07-26T16:04:26.288Z: 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:2023-07-26T16:12:27.934Z: 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:2023-07-26T16:13:31.490Z: 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:2023-07-26T16:25:36.374Z: 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:2023-07-26T16:26:37.645Z: 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:2023-07-26T16:34:38.769Z: 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:2023-07-26T16:40:39.160Z: 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:2023-07-26T16:53:42.545Z: 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:2023-07-26T16:54:44.554Z: 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:2023-07-26T17:00:42.938Z: 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:2023-07-26T17:07:45.444Z: 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:2023-07-26T17:15:47.954Z: 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:2023-07-26T17:16:49.394Z: 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:2023-07-26T17:21:50.665Z: 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:2023-07-26T17:35:53.068Z: 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:2023-07-26T17:43:55.275Z: 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:2023-07-26T17:44:56.137Z: 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:2023-07-26T17:49:57.746Z: 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:2023-07-26T17:56:59.195Z: 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:2023-07-26T18:06:01.300Z: 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:2023-07-26T18:11:03.684Z: 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:2023-07-26T18:12:04.851Z: 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:2023-07-26T18:18:08.760Z: 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:2023-07-26T18:27:10.161Z: 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:2023-07-26T18:33:12.556Z: 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:2023-07-26T18:38:13.731Z: 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:2023-07-26T18:39:16.350Z: 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:2023-07-26T18:48:19.812Z: 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:2023-07-26T18:54:21.019Z: 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:2023-07-26T19:06:18.660Z: 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:2023-07-26T19:07:20.946Z: 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:2023-07-26T19:09:22.001Z: 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:2023-07-26T19:21:24.931Z: 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:2023-07-26T19:29:27.707Z: 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:2023-07-26T19:36:25.778Z: 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:2023-07-26T19:42:28.097Z: 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:2023-07-26T19:49:29.775Z: 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 2023-07-26_08_08_03-13321383092475259698 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-26T20:01:40.800Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2023-07-26_08_08_03-13321383092475259698.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-26T20:01:40.836Z: JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-26T20:01:40.881Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-26T20:01:40.904Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-26T20:01:40.926Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-26T20:01:40.945Z: JOB_MESSAGE_BASIC: Stopping **** pool...
Traceback (most recent call last):
File "/usr/lib/python3.8/runpy.py", line 194, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/usr/lib/python3.8/runpy.py", line 87, 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 748, in wait_until_finish
assert duration or terminated, (
AssertionError: Job did not reach to a terminal state after waiting indefinitely. Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2023-07-26_08_08_03-13321383092475259698?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: 63
* 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 57s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date
Publishing build scan...
https://ge.apache.org/s/tci46pzhf3v6q
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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Build failed in Jenkins: beam_LoadTests_Python_Combine_Dataflow_Streaming #1066
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/1066/display/redirect>
Changes:
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Building wheels for collected packages: apache-beam
Building wheel for apache-beam (setup.py): started
Building wheel for apache-beam (setup.py): finished with status 'done'
Created wheel for apache-beam: filename=apache_beam-2.50.0.dev0-py3-none-any.whl size=3252401 sha256=901dc66d5fb7f023dd1f115d872379213b5f9d6fc81174a7c7bf8e4071367c9c
Stored in directory: /home/jenkins/.cache/pip/wheels/67/34/b8/5adce605a0a3f10491be234729fa4854c6a127bc01194f13fc
Successfully built apache-beam
Installing collected packages: sortedcontainers, pytz, docopt, crcmod, zstandard, wrapt, websocket-client, urllib3, typing-extensions, threadpoolctl, tenacity, sqlparse, sniffio, six, shapely, scipy, regex, pyyaml, pyparsing, pymysql, PyJWT, pyhamcrest, pycparser, pyasn1, pyarrow, psycopg2-binary, protobuf, portalocker, parameterized, overrides, orjson, objsize, mock, joblib, jmespath, iniconfig, idna, h11, greenlet, google-crc32c, fasteners, fastavro, execnet, exceptiongroup, dill, deprecation, cloudpickle, charset-normalizer, certifi, attrs, sqlalchemy, scikit-learn, rsa, requests, python-dateutil, pytest, pydot, pyasn1-modules, proto-plus, isodate, hypothesis, httplib2, googleapis-common-protos, google-resumable-media, cffi, anyio, requests_mock, pytest-xdist, pytest-timeout, pandas, oauth2client, httpcore, hdfs, grpcio-status, google-auth, freezegun, docker, cryptography, botocore, azure-core, testcontainers, s3transfer, grpc-google-iam-v1, google-auth-httplib2, google-apitools, google-api-core, dnspython, azure-storage-blob, pymongo, msal, google-cloud-core, boto3, msal-extensions, google-cloud-vision, google-cloud-videointelligence, google-cloud-storage, google-cloud-spanner, google-cloud-resource-manager, google-cloud-recommendations-ai, google-cloud-pubsub, google-cloud-language, google-cloud-dlp, google-cloud-datastore, google-cloud-bigtable, google-cloud-bigquery-storage, google-cloud-bigquery, apache-beam, google-cloud-pubsublite, google-cloud-aiplatform, azure-identity
Attempting uninstall: protobuf
Found existing installation: protobuf 4.24.0rc2
Uninstalling protobuf-4.24.0rc2:
Successfully uninstalled protobuf-4.24.0rc2
Successfully installed PyJWT-2.8.0 anyio-3.7.1 apache-beam-2.50.0.dev0 attrs-23.1.0 azure-core-1.28.0 azure-identity-1.14.0b2 azure-storage-blob-12.17.0 boto3-1.28.10 botocore-1.31.10 certifi-2023.7.22 cffi-1.15.1 charset-normalizer-3.2.0 cloudpickle-2.2.1 crcmod-1.7 cryptography-41.0.2 deprecation-2.1.0 dill-0.3.1.1 dnspython-2.4.0 docker-6.1.3 docopt-0.6.2 exceptiongroup-1.1.2 execnet-2.0.2 fastavro-1.8.2 fasteners-0.18 freezegun-1.2.2 google-api-core-2.12.0.dev0 google-apitools-0.5.31 google-auth-2.22.0 google-auth-httplib2-0.1.0 google-cloud-aiplatform-1.28.1 google-cloud-bigquery-3.11.4 google-cloud-bigquery-storage-2.22.0 google-cloud-bigtable-2.20.0 google-cloud-core-2.3.3 google-cloud-datastore-2.16.1 google-cloud-dlp-3.12.2 google-cloud-language-2.10.1 google-cloud-pubsub-2.18.0 google-cloud-pubsublite-1.8.3 google-cloud-recommendations-ai-0.10.4 google-cloud-resource-manager-1.10.2 google-cloud-spanner-3.38.0 google-cloud-storage-2.10.0 google-cloud-videointelligence-2.11.3 google-cloud-vision-3.4.4 google-crc32c-1.5.0 google-resumable-media-2.5.0 googleapis-common-protos-1.59.1 greenlet-3.0.0a1 grpc-google-iam-v1-0.12.6 grpcio-status-1.56.2 h11-0.14.0 hdfs-2.7.0 httpcore-0.17.3 httplib2-0.22.0 hypothesis-6.82.0 idna-3.4 iniconfig-2.0.0 isodate-0.6.1 jmespath-1.0.1 joblib-1.3.1 mock-5.1.0 msal-1.24.0b1 msal-extensions-1.0.0 oauth2client-4.1.3 objsize-0.6.1 orjson-3.9.2 overrides-6.5.0 pandas-1.5.3 parameterized-0.9.0 portalocker-2.7.0 proto-plus-1.22.3 protobuf-4.23.4 psycopg2-binary-2.9.6 pyarrow-11.0.0 pyasn1-0.5.0 pyasn1-modules-0.3.0 pycparser-2.21 pydot-1.4.2 pyhamcrest-2.0.4 pymongo-4.4.1 pymysql-1.1.0 pyparsing-3.1.0 pytest-7.4.0 pytest-timeout-2.1.0 pytest-xdist-3.3.1 python-dateutil-2.8.2 pytz-2023.3 pyyaml-6.0.1 regex-2023.6.3 requests-2.31.0 requests_mock-1.11.0 rsa-4.9 s3transfer-0.6.1 scikit-learn-1.3.0 scipy-1.10.1 shapely-1.8.5.post1 six-1.16.0 sniffio-1.3.0 sortedcontainers-2.4.0 sqlalchemy-1.4.49 sqlparse-0.4.4 tenacity-8.2.2 testcontainers-3.7.1 threadpoolctl-3.2.0 typing-extensions-4.7.1 urllib3-1.26.16 websocket-client-1.6.1 wrapt-1.15.0 zstandard-0.21.0
> Task :sdks:python:apache_beam:testing:load_tests:run
INFO:apache_beam.runners.portability.stager:Copying Beam SDK "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/build/apache-beam.tar.gz"> 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 https://cloud.google.com/dataflow/docs/guides/using-custom-containers#prebuild
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717" for Docker 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 gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0725130942.1690298039.681739/dataflow_python_sdk.tar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0725130942.1690298039.681739/dataflow_python_sdk.tar in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0725130942.1690298039.681739/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0725130942.1690298039.681739/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20230725151359682748-4986'
createTime: '2023-07-25T15:14:00.688157Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2023-07-25_08_14_00-10656489123062159626'
location: 'us-central1'
name: 'load-tests-python-dataflow-streaming-combine-1-0725130942'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2023-07-25T15:14:00.688157Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-07-25_08_14_00-10656489123062159626]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-07-25_08_14_00-10656489123062159626
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-07-25_08_14_00-10656489123062159626?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-07-25_08_14_00-10656489123062159626 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-25T15:14:12.601Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-25T15:14:13.697Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-25T15:14:13.723Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-25T15:14:13.811Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-25T15:14:13.866Z: JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-25T15:14:13.892Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write steps
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-25T15:14:13.945Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-25T15:14:13.993Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-25T15:14:14.033Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-25T15:14:14.058Z: JOB_MESSAGE_DETAILED: Fusing consumer Read synthetic/Map(<lambda at iobase.py:911>) into Read synthetic/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-25T15:14:14.081Z: JOB_MESSAGE_DETAILED: Fusing consumer ref_AppliedPTransform_Read-synthetic-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction into Read synthetic/Map(<lambda at iobase.py:911>)
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-25T15:14:14.107Z: 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:2023-07-25T15:14:14.135Z: 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:2023-07-25T15:14:14.157Z: JOB_MESSAGE_DETAILED: Fusing consumer Combine with Top 0/KeyWithVoid into Measure time: Start
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-25T15:14:14.179Z: 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:2023-07-25T15:14:14.200Z: 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:2023-07-25T15:14:14.228Z: 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:2023-07-25T15:14:14.250Z: 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:2023-07-25T15:14:14.270Z: 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:2023-07-25T15:14:14.295Z: JOB_MESSAGE_DETAILED: Fusing consumer Consume 0 into Combine with Top 0/UnKey
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-25T15:14:14.320Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure time: End 0 into Consume 0
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-25T15:14:14.404Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-25T15:14:14.428Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-25T15:14:14.449Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-25T15:14:14.484Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-25T15:14:14.504Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-25T15:14:14.692Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-25T15:14:14.720Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-25T15:14:14.743Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-07-25_08_14_00-10656489123062159626 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-25T15:14:36.856Z: 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:2023-07-25T15:15:03.388Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 2 so that the pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-25T15:15:03.412Z: JOB_MESSAGE_DETAILED: Autoscaling: Resized **** pool to 2, though goal was 5. This could be a quota issue.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-25T15:15:13.285Z: 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:2023-07-25T15:15:41.034Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-25T15:15:51.070Z: JOB_MESSAGE_DETAILED: All ****s have finished the startup processes and began to receive work requests.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-25T15:44:14.768Z: 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:2023-07-25T15:45:16.224Z: 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:2023-07-25T16:06:18.241Z: 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:2023-07-25T16:14:21.833Z: 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:2023-07-25T16:37:19.016Z: 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:2023-07-25T16:45:22.084Z: 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:2023-07-25T17:14:24.531Z: 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:2023-07-25T17:26:26.178Z: 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:2023-07-25T17:42:38.779Z: 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:2023-07-25T17:54:30.757Z: 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:2023-07-25T18:10:30.170Z: 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:2023-07-25T18:16:31.957Z: 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:2023-07-25T18:36:34.206Z: 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:2023-07-25T18:45:35.616Z: 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:2023-07-25T19:03:47.337Z: 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:2023-07-25T19:13:48.728Z: 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:2023-07-25T19:30:41.232Z: 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:2023-07-25T19:35:41.408Z: 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:2023-07-25T19:50:43.101Z: 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:2023-07-25T19:55:50.298Z: JOB_MESSAGE_ERROR: generic::aborted: SDK harness sdk-0-1 disconnected. This usually means that the process running the pipeline code has crashed. Inspect the Worker Logs and the Diagnostics tab to determine the cause of the crash.
with MessageCode:
(83ced883d665a35c): SDK disconnect.
passed through:
==>
dist_proc/dax/workflow/****/fnapi_control_service.cc:215
generic::aborted: SDK harness sdk-0-0 disconnected. This usually means that the process running the pipeline code has crashed. Inspect the Worker Logs and the Diagnostics tab to determine the cause of the crash.
with MessageCode:
(d777bd37b3704311): SDK disconnect.
passed through:
==>
dist_proc/dax/workflow/****/fnapi_control_service.cc:215
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-25T19:56:44.756Z: 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:2023-07-25T20:00:41.813Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2023-07-25_08_14_00-10656489123062159626.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-25T20:00:41.848Z: JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-25T20:00:41.901Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-25T20:00:41.921Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-25T20:00:41.947Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-25T20:00:41.978Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-07-25_08_14_00-10656489123062159626 is in state JOB_STATE_CANCELLING
Traceback (most recent call last):
File "/usr/lib/python3.8/runpy.py", line 194, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/usr/lib/python3.8/runpy.py", line 87, 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 748, in wait_until_finish
assert duration or terminated, (
AssertionError: Job did not reach to a terminal state after waiting indefinitely. Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2023-07-25_08_14_00-10656489123062159626?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: 63
* 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 49m 28s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date
Publishing build scan...
https://ge.apache.org/s/pv62rftfftm7i
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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Build failed in Jenkins: beam_LoadTests_Python_Combine_Dataflow_Streaming #1065
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/1065/display/redirect?page=changes>
Changes:
[noreply] [Python] Create BigQuery wrapper with pipeline options for
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Building wheels for collected packages: apache-beam
Building wheel for apache-beam (setup.py): started
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Successfully built apache-beam
Installing collected packages: sortedcontainers, pytz, docopt, crcmod, zstandard, wrapt, websocket-client, urllib3, typing-extensions, threadpoolctl, tenacity, sqlparse, sniffio, six, shapely, scipy, regex, pyyaml, pyparsing, pymysql, PyJWT, pyhamcrest, pycparser, pyasn1, pyarrow, psycopg2-binary, protobuf, portalocker, parameterized, overrides, orjson, objsize, mock, joblib, jmespath, iniconfig, idna, h11, greenlet, google-crc32c, fasteners, fastavro, execnet, exceptiongroup, dill, deprecation, cloudpickle, charset-normalizer, certifi, attrs, sqlalchemy, scikit-learn, rsa, requests, python-dateutil, pytest, pydot, pyasn1-modules, proto-plus, isodate, hypothesis, httplib2, googleapis-common-protos, google-resumable-media, cffi, anyio, requests_mock, pytest-xdist, pytest-timeout, pandas, oauth2client, httpcore, hdfs, grpcio-status, google-auth, freezegun, docker, cryptography, botocore, azure-core, testcontainers, s3transfer, grpc-google-iam-v1, google-auth-httplib2, google-apitools, google-api-core, dnspython, azure-storage-blob, pymongo, msal, google-cloud-core, boto3, msal-extensions, google-cloud-vision, google-cloud-videointelligence, google-cloud-storage, google-cloud-spanner, google-cloud-resource-manager, google-cloud-recommendations-ai, google-cloud-pubsub, google-cloud-language, google-cloud-dlp, google-cloud-datastore, google-cloud-bigtable, google-cloud-bigquery-storage, google-cloud-bigquery, apache-beam, google-cloud-pubsublite, google-cloud-aiplatform, azure-identity
Attempting uninstall: protobuf
Found existing installation: protobuf 4.24.0rc2
Uninstalling protobuf-4.24.0rc2:
Successfully uninstalled protobuf-4.24.0rc2
Successfully installed PyJWT-2.8.0 anyio-3.7.1 apache-beam-2.50.0.dev0 attrs-23.1.0 azure-core-1.28.0 azure-identity-1.14.0b2 azure-storage-blob-12.17.0 boto3-1.28.9 botocore-1.31.9 certifi-2023.7.22 cffi-1.15.1 charset-normalizer-3.2.0 cloudpickle-2.2.1 crcmod-1.7 cryptography-41.0.2 deprecation-2.1.0 dill-0.3.1.1 dnspython-2.4.0 docker-6.1.3 docopt-0.6.2 exceptiongroup-1.1.2 execnet-2.0.2 fastavro-1.8.2 fasteners-0.18 freezegun-1.2.2 google-api-core-2.12.0.dev0 google-apitools-0.5.31 google-auth-2.22.0 google-auth-httplib2-0.1.0 google-cloud-aiplatform-1.28.1 google-cloud-bigquery-3.11.4 google-cloud-bigquery-storage-2.22.0 google-cloud-bigtable-2.20.0 google-cloud-core-2.3.3 google-cloud-datastore-2.16.1 google-cloud-dlp-3.12.2 google-cloud-language-2.10.1 google-cloud-pubsub-2.18.0 google-cloud-pubsublite-1.8.3 google-cloud-recommendations-ai-0.10.4 google-cloud-resource-manager-1.10.2 google-cloud-spanner-3.38.0 google-cloud-storage-2.10.0 google-cloud-videointelligence-2.11.3 google-cloud-vision-3.4.4 google-crc32c-1.5.0 google-resumable-media-2.5.0 googleapis-common-protos-1.59.1 greenlet-3.0.0a1 grpc-google-iam-v1-0.12.6 grpcio-status-1.56.2 h11-0.14.0 hdfs-2.7.0 httpcore-0.17.3 httplib2-0.22.0 hypothesis-6.82.0 idna-3.4 iniconfig-2.0.0 isodate-0.6.1 jmespath-1.0.1 joblib-1.3.1 mock-5.1.0 msal-1.24.0b1 msal-extensions-1.0.0 oauth2client-4.1.3 objsize-0.6.1 orjson-3.9.2 overrides-6.5.0 pandas-1.5.3 parameterized-0.9.0 portalocker-2.7.0 proto-plus-1.22.3 protobuf-4.23.4 psycopg2-binary-2.9.6 pyarrow-11.0.0 pyasn1-0.5.0 pyasn1-modules-0.3.0 pycparser-2.21 pydot-1.4.2 pyhamcrest-2.0.4 pymongo-4.4.1 pymysql-1.1.0 pyparsing-3.1.0 pytest-7.4.0 pytest-timeout-2.1.0 pytest-xdist-3.3.1 python-dateutil-2.8.2 pytz-2023.3 pyyaml-6.0.1 regex-2023.6.3 requests-2.31.0 requests_mock-1.11.0 rsa-4.9 s3transfer-0.6.1 scikit-learn-1.3.0 scipy-1.10.1 shapely-1.8.5.post1 six-1.16.0 sniffio-1.3.0 sortedcontainers-2.4.0 sqlalchemy-1.4.49 sqlparse-0.4.4 tenacity-8.2.2 testcontainers-3.7.1 threadpoolctl-3.2.0 typing-extensions-4.7.1 urllib3-1.26.16 websocket-client-1.6.1 wrapt-1.15.0 zstandard-0.21.0
> Task :sdks:python:apache_beam:testing:load_tests:run
INFO:apache_beam.runners.portability.stager:Copying Beam SDK "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/build/apache-beam.tar.gz"> 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 https://cloud.google.com/dataflow/docs/guides/using-custom-containers#prebuild
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717" for Docker 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 gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0724125351.1690211277.539543/dataflow_python_sdk.tar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0724125351.1690211277.539543/dataflow_python_sdk.tar in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0724125351.1690211277.539543/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0724125351.1690211277.539543/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20230724150757540497-1987'
createTime: '2023-07-24T15:07:58.591954Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2023-07-24_08_07_58-18323013478710865689'
location: 'us-central1'
name: 'load-tests-python-dataflow-streaming-combine-1-0724125351'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2023-07-24T15:07:58.591954Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-07-24_08_07_58-18323013478710865689]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-07-24_08_07_58-18323013478710865689
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-07-24_08_07_58-18323013478710865689?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-07-24_08_07_58-18323013478710865689 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-24T15:08:03.397Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-24T15:08:09.819Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-24T15:08:10.749Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-24T15:08:10.800Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-24T15:08:10.859Z: JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-24T15:08:10.884Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write steps
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-24T15:08:10.927Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-24T15:08:10.977Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-24T15:08:11.004Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-24T15:08:11.033Z: JOB_MESSAGE_DETAILED: Fusing consumer Read synthetic/Map(<lambda at iobase.py:911>) into Read synthetic/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-24T15:08:11.058Z: JOB_MESSAGE_DETAILED: Fusing consumer ref_AppliedPTransform_Read-synthetic-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction into Read synthetic/Map(<lambda at iobase.py:911>)
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-24T15:08:11.084Z: 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:2023-07-24T15:08:11.109Z: 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:2023-07-24T15:08:11.132Z: JOB_MESSAGE_DETAILED: Fusing consumer Combine with Top 0/KeyWithVoid into Measure time: Start
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-24T15:08:11.155Z: 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:2023-07-24T15:08:11.178Z: 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:2023-07-24T15:08:11.200Z: 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:2023-07-24T15:08:11.222Z: 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:2023-07-24T15:08:11.245Z: 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:2023-07-24T15:08:11.268Z: JOB_MESSAGE_DETAILED: Fusing consumer Consume 0 into Combine with Top 0/UnKey
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-24T15:08:11.294Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure time: End 0 into Consume 0
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-24T15:08:11.378Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-24T15:08:11.399Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-24T15:08:11.427Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-24T15:08:11.462Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-24T15:08:11.483Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-24T15:08:11.660Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-24T15:08:11.681Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-24T15:08:11.708Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-07-24_08_07_58-18323013478710865689 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-24T15:08:32.654Z: 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:2023-07-24T15:08:55.156Z: 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:2023-07-24T15:08:55.176Z: 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:2023-07-24T15:09:05.055Z: 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:2023-07-24T15:09:32.157Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-24T15:09:39.604Z: JOB_MESSAGE_DETAILED: All ****s have finished the startup processes and began to receive work requests.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-24T15:31:36.239Z: 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:2023-07-24T15:32:38.464Z: 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:2023-07-24T15:53:36.212Z: 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:2023-07-24T15:54:37.860Z: 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:2023-07-24T16:16:39.886Z: 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:2023-07-24T16:17:42.721Z: 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:2023-07-24T16:38:45.172Z: 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:2023-07-24T16:39:33.724Z: 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:2023-07-24T17:00:45.411Z: 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:2023-07-24T17:02:47.176Z: 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:2023-07-24T17:22:50.002Z: 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:2023-07-24T17:24:52.859Z: 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:2023-07-24T17:45:54.709Z: 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:2023-07-24T17:47:55.974Z: 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:2023-07-24T18:07:58.436Z: 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:2023-07-24T18:10:59.969Z: 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:2023-07-24T18:28:01.608Z: 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:2023-07-24T18:33:03.139Z: 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:2023-07-24T18:49:25.477Z: 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:2023-07-24T18:55:07.348Z: 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:2023-07-24T19:10:09.229Z: 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:2023-07-24T19:18:06.769Z: 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:2023-07-24T19:31:08.881Z: 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:2023-07-24T19:39:10.931Z: 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:2023-07-24T19:52:12.255Z: 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 2023-07-24_08_07_58-18323013478710865689 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-24T20:00:57.799Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2023-07-24_08_07_58-18323013478710865689.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-24T20:00:57.831Z: JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-24T20:00:57.888Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-24T20:00:57.906Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-24T20:00:57.928Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-24T20:00:57.950Z: JOB_MESSAGE_BASIC: Stopping **** pool...
Traceback (most recent call last):
File "/usr/lib/python3.8/runpy.py", line 194, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/usr/lib/python3.8/runpy.py", line 87, 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 748, in wait_until_finish
assert duration or terminated, (
AssertionError: Job did not reach to a terminal state after waiting indefinitely. Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2023-07-24_08_07_58-18323013478710865689?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: 63
* 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 54m 59s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date
Publishing build scan...
https://ge.apache.org/s/lcjmwmsaxufqi
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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Build failed in Jenkins: beam_LoadTests_Python_Combine_Dataflow_Streaming #1064
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/1064/display/redirect>
Changes:
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Building wheels for collected packages: apache-beam
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> Task :sdks:python:apache_beam:testing:load_tests:run
INFO:apache_beam.runners.portability.stager:Copying Beam SDK "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/build/apache-beam.tar.gz"> 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 https://cloud.google.com/dataflow/docs/guides/using-custom-containers#prebuild
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717" for Docker 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 gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0723125343.1690124865.898255/dataflow_python_sdk.tar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0723125343.1690124865.898255/dataflow_python_sdk.tar in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0723125343.1690124865.898255/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0723125343.1690124865.898255/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
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createTime: '2023-07-23T15:07:46.961406Z'
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name: 'load-tests-python-dataflow-streaming-combine-1-0723125343'
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INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-07-23_08_07_46-8983048673540153284]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-07-23_08_07_46-8983048673540153284
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-07-23_08_07_46-8983048673540153284?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-07-23_08_07_46-8983048673540153284 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-23T15:07:50.656Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-23T15:07:52.016Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-23T15:07:52.039Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-23T15:07:52.079Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-23T15:07:52.139Z: JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-23T15:07:52.166Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write steps
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-23T15:07:52.213Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-23T15:07:52.260Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-23T15:07:52.296Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-23T15:07:52.319Z: JOB_MESSAGE_DETAILED: Fusing consumer Read synthetic/Map(<lambda at iobase.py:911>) into Read synthetic/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-23T15:07:52.342Z: JOB_MESSAGE_DETAILED: Fusing consumer ref_AppliedPTransform_Read-synthetic-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction into Read synthetic/Map(<lambda at iobase.py:911>)
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-23T15:07:52.363Z: 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:2023-07-23T15:07:52.384Z: 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:2023-07-23T15:07:52.403Z: JOB_MESSAGE_DETAILED: Fusing consumer Combine with Top 0/KeyWithVoid into Measure time: Start
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-23T15:07:52.419Z: 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:2023-07-23T15:07:52.441Z: 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:2023-07-23T15:07:52.462Z: 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:2023-07-23T15:07:52.482Z: 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:2023-07-23T15:07:52.500Z: 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:2023-07-23T15:07:52.525Z: JOB_MESSAGE_DETAILED: Fusing consumer Consume 0 into Combine with Top 0/UnKey
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-23T15:07:52.548Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure time: End 0 into Consume 0
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-23T15:07:52.612Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-23T15:07:52.628Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-23T15:07:52.646Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-23T15:07:52.671Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-23T15:07:52.697Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-23T15:07:52.875Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-23T15:07:52.892Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-23T15:07:52.946Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-07-23_08_07_46-8983048673540153284 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-23T15:08:01.966Z: 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:2023-07-23T15:08:41.131Z: 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:2023-07-23T15:08:41.151Z: 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:2023-07-23T15:08:51.020Z: 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:2023-07-23T15:09:17.242Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-23T15:09:24.650Z: JOB_MESSAGE_DETAILED: All ****s have finished the startup processes and began to receive work requests.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-23T15:35:52.287Z: 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:2023-07-23T15:38:46.848Z: 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:2023-07-23T16:01:15.327Z: 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:2023-07-23T16:05:56.846Z: 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:2023-07-23T16:21:59.079Z: 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:2023-07-23T16:34:00.608Z: 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:2023-07-23T16:50:02.335Z: 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:2023-07-23T16:57:04.210Z: 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:2023-07-23T17:17:05.583Z: 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:2023-07-23T17:18:07.415Z: 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:2023-07-23T17:40:09.045Z: 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:2023-07-23T17:41:10.051Z: 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:2023-07-23T18:06:01.662Z: 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:2023-07-23T18:10:11.167Z: 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:2023-07-23T18:33:13.199Z: 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:2023-07-23T18:35:14.537Z: 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:2023-07-23T19:02:07.738Z: 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:2023-07-23T19:04:18.146Z: 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:2023-07-23T19:26:16Z: 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:2023-07-23T19:31:27.951Z: 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:2023-07-23T19:46:19.552Z: 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:2023-07-23T19:54:21.003Z: 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 2023-07-23_08_07_46-8983048673540153284 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-23T20:00:45.331Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2023-07-23_08_07_46-8983048673540153284.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-23T20:00:45.358Z: JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-23T20:00:45.412Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-23T20:00:45.429Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-23T20:00:45.452Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-23T20:00:45.470Z: JOB_MESSAGE_BASIC: Stopping **** pool...
Traceback (most recent call last):
File "/usr/lib/python3.8/runpy.py", line 194, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/usr/lib/python3.8/runpy.py", line 87, 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 748, in wait_until_finish
assert duration or terminated, (
AssertionError: Job did not reach to a terminal state after waiting indefinitely. Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2023-07-23_08_07_46-8983048673540153284?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: 63
* 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 8s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date
Publishing build scan...
https://ge.apache.org/s/dgz4n5csrx7b4
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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Build failed in Jenkins: beam_LoadTests_Python_Combine_Dataflow_Streaming #1063
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/1063/display/redirect>
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Building wheels for collected packages: apache-beam
Building wheel for apache-beam (setup.py): started
Building wheel for apache-beam (setup.py): finished with status 'done'
Created wheel for apache-beam: filename=apache_beam-2.50.0.dev0-py3-none-any.whl size=3242147 sha256=286a13759b14fc3eae0677fa2fc41e2ec48abe736088b7f9d149abb1cb9a7d5f
Stored in directory: /home/jenkins/.cache/pip/wheels/67/34/b8/5adce605a0a3f10491be234729fa4854c6a127bc01194f13fc
Successfully built apache-beam
Installing collected packages: sortedcontainers, pytz, docopt, crcmod, zstandard, wrapt, websocket-client, urllib3, typing-extensions, threadpoolctl, tenacity, sqlparse, sniffio, six, shapely, scipy, regex, pyyaml, pyparsing, pymysql, PyJWT, pyhamcrest, pycparser, pyasn1, pyarrow, psycopg2-binary, protobuf, portalocker, parameterized, overrides, orjson, objsize, mock, joblib, jmespath, iniconfig, idna, h11, greenlet, google-crc32c, fasteners, fastavro, execnet, exceptiongroup, dill, deprecation, cloudpickle, charset-normalizer, certifi, attrs, sqlalchemy, scikit-learn, rsa, requests, python-dateutil, pytest, pydot, pyasn1-modules, proto-plus, isodate, hypothesis, httplib2, googleapis-common-protos, google-resumable-media, cffi, anyio, requests_mock, pytest-xdist, pytest-timeout, pandas, oauth2client, httpcore, hdfs, grpcio-status, google-auth, freezegun, docker, cryptography, botocore, azure-core, testcontainers, s3transfer, grpc-google-iam-v1, google-auth-httplib2, google-apitools, google-api-core, dnspython, azure-storage-blob, pymongo, msal, google-cloud-core, boto3, msal-extensions, google-cloud-vision, google-cloud-videointelligence, google-cloud-storage, google-cloud-spanner, google-cloud-resource-manager, google-cloud-recommendations-ai, google-cloud-pubsub, google-cloud-language, google-cloud-dlp, google-cloud-datastore, google-cloud-bigtable, google-cloud-bigquery-storage, google-cloud-bigquery, apache-beam, google-cloud-pubsublite, google-cloud-aiplatform, azure-identity
Attempting uninstall: protobuf
Found existing installation: protobuf 4.24.0rc2
Uninstalling protobuf-4.24.0rc2:
Successfully uninstalled protobuf-4.24.0rc2
Successfully installed PyJWT-2.8.0 anyio-3.7.1 apache-beam-2.50.0.dev0 attrs-23.1.0 azure-core-1.28.0 azure-identity-1.14.0b2 azure-storage-blob-12.17.0 boto3-1.28.9 botocore-1.31.9 certifi-2023.7.22 cffi-1.15.1 charset-normalizer-3.2.0 cloudpickle-2.2.1 crcmod-1.7 cryptography-41.0.2 deprecation-2.1.0 dill-0.3.1.1 dnspython-2.4.0 docker-6.1.3 docopt-0.6.2 exceptiongroup-1.1.2 execnet-2.0.2 fastavro-1.8.2 fasteners-0.18 freezegun-1.2.2 google-api-core-2.12.0.dev0 google-apitools-0.5.31 google-auth-2.22.0 google-auth-httplib2-0.1.0 google-cloud-aiplatform-1.28.1 google-cloud-bigquery-3.11.4 google-cloud-bigquery-storage-2.22.0 google-cloud-bigtable-2.20.0 google-cloud-core-2.3.3 google-cloud-datastore-2.16.1 google-cloud-dlp-3.12.2 google-cloud-language-2.10.1 google-cloud-pubsub-2.18.0 google-cloud-pubsublite-1.8.3 google-cloud-recommendations-ai-0.10.4 google-cloud-resource-manager-1.10.2 google-cloud-spanner-3.38.0 google-cloud-storage-2.10.0 google-cloud-videointelligence-2.11.3 google-cloud-vision-3.4.4 google-crc32c-1.5.0 google-resumable-media-2.5.0 googleapis-common-protos-1.59.1 greenlet-3.0.0a1 grpc-google-iam-v1-0.12.6 grpcio-status-1.56.2 h11-0.14.0 hdfs-2.7.0 httpcore-0.17.3 httplib2-0.22.0 hypothesis-6.82.0 idna-3.4 iniconfig-2.0.0 isodate-0.6.1 jmespath-1.0.1 joblib-1.3.1 mock-5.1.0 msal-1.22.0 msal-extensions-1.0.0 oauth2client-4.1.3 objsize-0.6.1 orjson-3.9.2 overrides-6.5.0 pandas-1.5.3 parameterized-0.9.0 portalocker-2.7.0 proto-plus-1.22.3 protobuf-4.23.4 psycopg2-binary-2.9.6 pyarrow-11.0.0 pyasn1-0.5.0 pyasn1-modules-0.3.0 pycparser-2.21 pydot-1.4.2 pyhamcrest-2.0.4 pymongo-4.4.1 pymysql-1.1.0 pyparsing-3.1.0 pytest-7.4.0 pytest-timeout-2.1.0 pytest-xdist-3.3.1 python-dateutil-2.8.2 pytz-2023.3 pyyaml-6.0.1 regex-2023.6.3 requests-2.31.0 requests_mock-1.11.0 rsa-4.9 s3transfer-0.6.1 scikit-learn-1.3.0 scipy-1.10.1 shapely-1.8.5.post1 six-1.16.0 sniffio-1.3.0 sortedcontainers-2.4.0 sqlalchemy-1.4.49 sqlparse-0.4.4 tenacity-8.2.2 testcontainers-3.7.1 threadpoolctl-3.2.0 typing-extensions-4.7.1 urllib3-1.26.16 websocket-client-1.6.1 wrapt-1.15.0 zstandard-0.21.0
> Task :sdks:python:apache_beam:testing:load_tests:run
INFO:apache_beam.runners.portability.stager:Copying Beam SDK "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/build/apache-beam.tar.gz"> 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 https://cloud.google.com/dataflow/docs/guides/using-custom-containers#prebuild
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717" for Docker 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 gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0722133341.1690038469.459220/dataflow_python_sdk.tar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0722133341.1690038469.459220/dataflow_python_sdk.tar in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0722133341.1690038469.459220/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0722133341.1690038469.459220/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20230722150749460147-2794'
createTime: '2023-07-22T15:07:50.428183Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2023-07-22_08_07_49-17976440115671820058'
location: 'us-central1'
name: 'load-tests-python-dataflow-streaming-combine-1-0722133341'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2023-07-22T15:07:50.428183Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-07-22_08_07_49-17976440115671820058]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-07-22_08_07_49-17976440115671820058
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-07-22_08_07_49-17976440115671820058?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-07-22_08_07_49-17976440115671820058 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-22T15:07:55.385Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-22T15:07:56.531Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-22T15:07:56.551Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-22T15:07:56.616Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-22T15:07:56.678Z: JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-22T15:07:56.705Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write steps
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-22T15:07:56.750Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-22T15:07:56.803Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-22T15:07:56.841Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-22T15:07:56.863Z: JOB_MESSAGE_DETAILED: Fusing consumer Read synthetic/Map(<lambda at iobase.py:911>) into Read synthetic/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-22T15:07:56.889Z: JOB_MESSAGE_DETAILED: Fusing consumer ref_AppliedPTransform_Read-synthetic-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction into Read synthetic/Map(<lambda at iobase.py:911>)
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-22T15:07:56.915Z: 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:2023-07-22T15:07:56.940Z: 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:2023-07-22T15:07:56.964Z: JOB_MESSAGE_DETAILED: Fusing consumer Combine with Top 0/KeyWithVoid into Measure time: Start
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-22T15:07:56.990Z: 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:2023-07-22T15:07:57.011Z: 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:2023-07-22T15:07:57.032Z: 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:2023-07-22T15:07:57.056Z: 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:2023-07-22T15:07:57.082Z: 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:2023-07-22T15:07:57.108Z: JOB_MESSAGE_DETAILED: Fusing consumer Consume 0 into Combine with Top 0/UnKey
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-22T15:07:57.135Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure time: End 0 into Consume 0
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-22T15:07:57.225Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-22T15:07:57.252Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-22T15:07:57.280Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-22T15:07:57.322Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-22T15:07:57.345Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-22T15:07:57.543Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-22T15:07:57.565Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-22T15:07:57.629Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-07-22_08_07_49-17976440115671820058 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-22T15:08:24.596Z: 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:2023-07-22T15:08:41.239Z: 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:2023-07-22T15:08:41.266Z: 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:2023-07-22T15:08:51.121Z: 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:2023-07-22T15:09:16.825Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-22T15:09:26.985Z: JOB_MESSAGE_DETAILED: All ****s have finished the startup processes and began to receive work requests.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-22T15:37:52.747Z: 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:2023-07-22T15:38:56.898Z: 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:2023-07-22T16:07:55.462Z: 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:2023-07-22T16:08:57.818Z: 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:2023-07-22T16:32:58.480Z: 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:2023-07-22T16:37:00.172Z: 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:2023-07-22T17:00:02.916Z: 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:2023-07-22T17:06:04.904Z: 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:2023-07-22T17:27:07.183Z: 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:2023-07-22T17:35:09.141Z: 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:2023-07-22T17:54:07.164Z: 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:2023-07-22T18:03:08.504Z: 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:2023-07-22T18:16:09.918Z: 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:2023-07-22T18:31:11.638Z: 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:2023-07-22T18:44:13.229Z: 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:2023-07-22T18:59:15.470Z: 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:2023-07-22T19:11:17.124Z: 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:2023-07-22T19:26:29.313Z: 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:2023-07-22T19:38:20.867Z: 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:2023-07-22T19:54:22.346Z: 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:2023-07-22T20:00:24.863Z: 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 2023-07-22_08_07_49-17976440115671820058 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-22T20:00:48.019Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2023-07-22_08_07_49-17976440115671820058.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-22T20:00:48.051Z: JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-22T20:00:48.133Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-22T20:00:48.159Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-22T20:00:48.195Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-22T20:00:48.219Z: JOB_MESSAGE_BASIC: Stopping **** pool...
Traceback (most recent call last):
File "/usr/lib/python3.8/runpy.py", line 194, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/usr/lib/python3.8/runpy.py", line 87, 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 748, in wait_until_finish
assert duration or terminated, (
AssertionError: Job did not reach to a terminal state after waiting indefinitely. Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2023-07-22_08_07_49-17976440115671820058?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: 63
* 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 9s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date
Publishing build scan...
https://ge.apache.org/s/ne4x5jcp22d6c
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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Building wheels for collected packages: apache-beam
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> Task :sdks:python:apache_beam:testing:load_tests:run
INFO:apache_beam.runners.portability.stager:Copying Beam SDK "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/build/apache-beam.tar.gz"> 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 https://cloud.google.com/dataflow/docs/guides/using-custom-containers#prebuild
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717" for Docker 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 gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0721125343.1689952078.659766/dataflow_python_sdk.tar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0721125343.1689952078.659766/dataflow_python_sdk.tar in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0721125343.1689952078.659766/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0721125343.1689952078.659766/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20230721150758660702-2588'
createTime: '2023-07-21T15:07:59.666906Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2023-07-21_08_07_59-9886874756402984857'
location: 'us-central1'
name: 'load-tests-python-dataflow-streaming-combine-1-0721125343'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2023-07-21T15:07:59.666906Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-07-21_08_07_59-9886874756402984857]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-07-21_08_07_59-9886874756402984857
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-07-21_08_07_59-9886874756402984857?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-07-21_08_07_59-9886874756402984857 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-21T15:08:10.208Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-a.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-21T15:08:16.540Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-21T15:08:21.557Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-21T15:08:26.916Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-21T15:08:26.975Z: JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-21T15:08:26.996Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write steps
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-21T15:08:27.042Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-21T15:08:27.083Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-21T15:08:27.120Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-21T15:08:27.140Z: JOB_MESSAGE_DETAILED: Fusing consumer Read synthetic/Map(<lambda at iobase.py:911>) into Read synthetic/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-21T15:08:27.161Z: JOB_MESSAGE_DETAILED: Fusing consumer ref_AppliedPTransform_Read-synthetic-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction into Read synthetic/Map(<lambda at iobase.py:911>)
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-21T15:08:27.184Z: 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:2023-07-21T15:08:27.211Z: 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:2023-07-21T15:08:27.238Z: JOB_MESSAGE_DETAILED: Fusing consumer Combine with Top 0/KeyWithVoid into Measure time: Start
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-21T15:08:27.264Z: 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:2023-07-21T15:08:27.289Z: 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:2023-07-21T15:08:27.314Z: 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:2023-07-21T15:08:27.344Z: 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:2023-07-21T15:08:27.371Z: 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:2023-07-21T15:08:27.400Z: JOB_MESSAGE_DETAILED: Fusing consumer Consume 0 into Combine with Top 0/UnKey
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-21T15:08:27.425Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure time: End 0 into Consume 0
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-21T15:08:27.522Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-21T15:08:27.548Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-21T15:08:27.577Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-21T15:08:27.615Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-21T15:08:27.643Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-21T15:08:27.810Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-21T15:08:27.838Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-a...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-21T15:08:27.893Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-21T15:08:29.224Z: 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:Job 2023-07-21_08_07_59-9886874756402984857 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-21T15:09:14.998Z: 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:2023-07-21T15:09:15.024Z: 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:2023-07-21T15:09:24.962Z: 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:2023-07-21T15:09:58.292Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-21T15:10:06.097Z: JOB_MESSAGE_DETAILED: All ****s have finished the startup processes and began to receive work requests.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-21T15:32:26.240Z: 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:2023-07-21T15:38:30.834Z: 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:2023-07-21T16:00:40.614Z: 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:2023-07-21T16:10:41.322Z: 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:2023-07-21T16:28:31.008Z: 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:2023-07-21T16:38:32.579Z: 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:2023-07-21T16:55:34.783Z: 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:2023-07-21T17:06:37.304Z: 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:2023-07-21T17:24:39.237Z: 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:2023-07-21T17:33:39.950Z: 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:2023-07-21T17:36:41.970Z: 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:2023-07-21T17:45:41.645Z: 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:2023-07-21T18:02:53.413Z: 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:2023-07-21T18:03:45.019Z: 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:2023-07-21T18:07:46.262Z: 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:2023-07-21T18:24:45.826Z: 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:2023-07-21T18:25:47.617Z: 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:2023-07-21T18:30:50.419Z: 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:2023-07-21T18:46:52.663Z: 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:2023-07-21T18:55:05.043Z: 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:2023-07-21T18:58:57.173Z: 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:2023-07-21T19:07:58.713Z: 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:2023-07-21T19:19:00.272Z: 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:2023-07-21T19:25:58.921Z: 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:2023-07-21T19:30:03.693Z: 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:2023-07-21T19:41:05.368Z: 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:2023-07-21T19:47:06.880Z: 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:2023-07-21T19:57:08.319Z: 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 2023-07-21_08_07_59-9886874756402984857 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-21T20:00:42.589Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2023-07-21_08_07_59-9886874756402984857.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-21T20:00:42.617Z: JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-21T20:00:42.669Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-21T20:00:42.691Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-21T20:00:42.720Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-21T20:00:42.740Z: JOB_MESSAGE_BASIC: Stopping **** pool...
Traceback (most recent call last):
File "/usr/lib/python3.8/runpy.py", line 194, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/usr/lib/python3.8/runpy.py", line 87, 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 748, in wait_until_finish
assert duration or terminated, (
AssertionError: Job did not reach to a terminal state after waiting indefinitely. Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2023-07-21_08_07_59-9886874756402984857?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: 63
* 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 16s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date
Publishing build scan...
https://ge.apache.org/s/axnoe6atowsvq
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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Build failed in Jenkins: beam_LoadTests_Python_Combine_Dataflow_Streaming #1061
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/1061/display/redirect>
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Building wheels for collected packages: apache-beam
Building wheel for apache-beam (setup.py): started
Building wheel for apache-beam (setup.py): finished with status 'done'
Created wheel for apache-beam: filename=apache_beam-2.50.0.dev0-py3-none-any.whl size=3240090 sha256=624287b11734894f3be7d7cf1d864bddaa65b47d392e48243cd695177135f752
Stored in directory: /home/jenkins/.cache/pip/wheels/67/34/b8/5adce605a0a3f10491be234729fa4854c6a127bc01194f13fc
Successfully built apache-beam
Installing collected packages: sortedcontainers, pytz, docopt, crcmod, zstandard, wrapt, websocket-client, urllib3, typing-extensions, threadpoolctl, tenacity, sqlparse, sniffio, six, shapely, scipy, regex, pyyaml, pyparsing, pymysql, PyJWT, pyhamcrest, pycparser, pyasn1, pyarrow, psycopg2-binary, protobuf, portalocker, parameterized, overrides, orjson, objsize, mock, joblib, jmespath, iniconfig, idna, h11, greenlet, google-crc32c, fasteners, fastavro, execnet, exceptiongroup, dill, deprecation, cloudpickle, charset-normalizer, certifi, attrs, sqlalchemy, scikit-learn, rsa, requests, python-dateutil, pytest, pydot, pyasn1-modules, proto-plus, isodate, hypothesis, httplib2, googleapis-common-protos, google-resumable-media, cffi, anyio, requests_mock, pytest-xdist, pytest-timeout, pandas, oauth2client, httpcore, hdfs, grpcio-status, google-auth, freezegun, docker, cryptography, botocore, azure-core, testcontainers, s3transfer, grpc-google-iam-v1, google-auth-httplib2, google-apitools, google-api-core, dnspython, azure-storage-blob, pymongo, msal, google-cloud-core, boto3, msal-extensions, google-cloud-vision, google-cloud-videointelligence, google-cloud-storage, google-cloud-spanner, google-cloud-resource-manager, google-cloud-recommendations-ai, google-cloud-pubsub, google-cloud-language, google-cloud-dlp, google-cloud-datastore, google-cloud-bigtable, google-cloud-bigquery-storage, google-cloud-bigquery, apache-beam, google-cloud-pubsublite, google-cloud-aiplatform, azure-identity
Attempting uninstall: protobuf
Found existing installation: protobuf 4.24.0rc2
Uninstalling protobuf-4.24.0rc2:
Successfully uninstalled protobuf-4.24.0rc2
Successfully installed PyJWT-2.8.0 anyio-3.7.1 apache-beam-2.50.0.dev0 attrs-23.1.0 azure-core-1.28.0 azure-identity-1.14.0b2 azure-storage-blob-12.17.0 boto3-1.28.7 botocore-1.31.7 certifi-2023.5.7 cffi-1.15.1 charset-normalizer-3.2.0 cloudpickle-2.2.1 crcmod-1.7 cryptography-41.0.2 deprecation-2.1.0 dill-0.3.1.1 dnspython-2.4.0 docker-6.1.3 docopt-0.6.2 exceptiongroup-1.1.2 execnet-2.0.2 fastavro-1.8.2 fasteners-0.18 freezegun-1.2.2 google-api-core-2.12.0.dev0 google-apitools-0.5.31 google-auth-2.22.0 google-auth-httplib2-0.1.0 google-cloud-aiplatform-1.28.1 google-cloud-bigquery-3.11.4 google-cloud-bigquery-storage-2.22.0 google-cloud-bigtable-2.20.0 google-cloud-core-2.3.3 google-cloud-datastore-2.16.1 google-cloud-dlp-3.12.2 google-cloud-language-2.10.1 google-cloud-pubsub-2.18.0 google-cloud-pubsublite-1.8.3 google-cloud-recommendations-ai-0.10.4 google-cloud-resource-manager-1.10.2 google-cloud-spanner-3.36.0 google-cloud-storage-2.10.0 google-cloud-videointelligence-2.11.3 google-cloud-vision-3.4.4 google-crc32c-1.5.0 google-resumable-media-2.5.0 googleapis-common-protos-1.59.1 greenlet-3.0.0a1 grpc-google-iam-v1-0.12.6 grpcio-status-1.56.2 h11-0.14.0 hdfs-2.7.0 httpcore-0.17.3 httplib2-0.22.0 hypothesis-6.82.0 idna-3.4 iniconfig-2.0.0 isodate-0.6.1 jmespath-1.0.1 joblib-1.3.1 mock-5.1.0 msal-1.22.0 msal-extensions-1.0.0 oauth2client-4.1.3 objsize-0.6.1 orjson-3.9.2 overrides-6.5.0 pandas-1.5.3 parameterized-0.9.0 portalocker-2.7.0 proto-plus-1.22.3 protobuf-4.23.4 psycopg2-binary-2.9.6 pyarrow-11.0.0 pyasn1-0.5.0 pyasn1-modules-0.3.0 pycparser-2.21 pydot-1.4.2 pyhamcrest-2.0.4 pymongo-4.4.1 pymysql-1.1.0 pyparsing-3.1.0 pytest-7.4.0 pytest-timeout-2.1.0 pytest-xdist-3.3.1 python-dateutil-2.8.2 pytz-2023.3 pyyaml-6.0.1 regex-2023.6.3 requests-2.31.0 requests_mock-1.11.0 rsa-4.9 s3transfer-0.6.1 scikit-learn-1.3.0 scipy-1.10.1 shapely-1.8.5.post1 six-1.16.0 sniffio-1.3.0 sortedcontainers-2.4.0 sqlalchemy-1.4.49 sqlparse-0.4.4 tenacity-8.2.2 testcontainers-3.7.1 threadpoolctl-3.2.0 typing-extensions-4.7.1 urllib3-1.26.16 websocket-client-1.6.1 wrapt-1.15.0 zstandard-0.21.0
> Task :sdks:python:apache_beam:testing:load_tests:run
INFO:apache_beam.runners.portability.stager:Copying Beam SDK "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/build/apache-beam.tar.gz"> 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 https://cloud.google.com/dataflow/docs/guides/using-custom-containers#prebuild
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717" for Docker 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 gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0720125348.1689865673.263706/dataflow_python_sdk.tar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0720125348.1689865673.263706/dataflow_python_sdk.tar in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0720125348.1689865673.263706/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0720125348.1689865673.263706/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20230720150753264687-4098'
createTime: '2023-07-20T15:07:54.298657Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2023-07-20_08_07_53-12770893953506832811'
location: 'us-central1'
name: 'load-tests-python-dataflow-streaming-combine-1-0720125348'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2023-07-20T15:07:54.298657Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-07-20_08_07_53-12770893953506832811]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-07-20_08_07_53-12770893953506832811
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-07-20_08_07_53-12770893953506832811?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-07-20_08_07_53-12770893953506832811 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-20T15:07:59.572Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-a.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-20T15:08:00.865Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-20T15:08:00.898Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-20T15:08:00.949Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-20T15:08:01.007Z: JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-20T15:08:01.033Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write steps
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-20T15:08:01.078Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-20T15:08:01.122Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-20T15:08:01.154Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-20T15:08:01.181Z: JOB_MESSAGE_DETAILED: Fusing consumer Read synthetic/Map(<lambda at iobase.py:911>) into Read synthetic/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-20T15:08:01.202Z: JOB_MESSAGE_DETAILED: Fusing consumer ref_AppliedPTransform_Read-synthetic-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction into Read synthetic/Map(<lambda at iobase.py:911>)
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-20T15:08:01.229Z: 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:2023-07-20T15:08:01.251Z: 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:2023-07-20T15:08:01.274Z: JOB_MESSAGE_DETAILED: Fusing consumer Combine with Top 0/KeyWithVoid into Measure time: Start
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-20T15:08:01.299Z: 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:2023-07-20T15:08:01.325Z: 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:2023-07-20T15:08:01.351Z: 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:2023-07-20T15:08:01.377Z: 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:2023-07-20T15:08:01.398Z: 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:2023-07-20T15:08:01.423Z: JOB_MESSAGE_DETAILED: Fusing consumer Consume 0 into Combine with Top 0/UnKey
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-20T15:08:01.449Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure time: End 0 into Consume 0
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-20T15:08:01.526Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-20T15:08:01.586Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-20T15:08:01.615Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-20T15:08:01.642Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-20T15:08:01.666Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-20T15:08:01.852Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-20T15:08:01.870Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-a...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-20T15:08:01.924Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-07-20_08_07_53-12770893953506832811 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-20T15:08:33.309Z: 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:2023-07-20T15:08:55.160Z: 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:2023-07-20T15:09:25.714Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-20T15:09:36.274Z: JOB_MESSAGE_DETAILED: All ****s have finished the startup processes and began to receive work requests.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-20T15:31:35.511Z: JOB_MESSAGE_WARNING: The ****s of given job are going to be updated.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-20T15:59:26.639Z: 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:2023-07-20T16:01:29.333Z: 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:2023-07-20T16:24:30.453Z: 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:2023-07-20T16:29:30.768Z: 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:2023-07-20T16:32:35.302Z: 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:2023-07-20T16:50:32.964Z: 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:2023-07-20T16:53:36.586Z: 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:2023-07-20T16:55:38.581Z: 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:2023-07-20T17:03:40.074Z: 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:2023-07-20T17:17:38.007Z: 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:2023-07-20T17:19:29.917Z: 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:2023-07-20T17:21:40.901Z: 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:2023-07-20T17:30:55.428Z: 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:2023-07-20T17:45:53.729Z: 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:2023-07-20T17:47:44.674Z: 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:2023-07-20T17:51:06.693Z: 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:2023-07-20T17:58:48.362Z: 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:2023-07-20T18:07:50.943Z: 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:2023-07-20T18:15:52.641Z: 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:2023-07-20T18:19:00.368Z: 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:2023-07-20T18:27:52.146Z: 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:2023-07-20T18:35:04.763Z: 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:2023-07-20T18:43:46.999Z: 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:2023-07-20T18:47:58.399Z: 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:2023-07-20T18:54:59.837Z: 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:2023-07-20T19:04:11.308Z: 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:2023-07-20T19:11:05.031Z: 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:2023-07-20T19:18:03.799Z: 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:2023-07-20T19:23:08.666Z: 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.
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INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-20T19:52:15.266Z: 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 2023-07-20_08_07_53-12770893953506832811 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-20T20:00:53.932Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2023-07-20_08_07_53-12770893953506832811.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-20T20:00:54.010Z: JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-20T20:00:54.075Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-20T20:00:54.096Z: JOB_MESSAGE_BASIC: Stopping **** pool...
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INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-20T20:00:54.143Z: JOB_MESSAGE_BASIC: Stopping **** pool...
Traceback (most recent call last):
File "/usr/lib/python3.8/runpy.py", line 194, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/usr/lib/python3.8/runpy.py", line 87, 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 748, in wait_until_finish
assert duration or terminated, (
AssertionError: Job did not reach to a terminal state after waiting indefinitely. Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2023-07-20_08_07_53-12770893953506832811?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: 63
* 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 21s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date
Publishing build scan...
https://ge.apache.org/s/vt645gawncrgi
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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Build failed in Jenkins: beam_LoadTests_Python_Combine_Dataflow_Streaming #1060
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/1060/display/redirect>
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Successfully installed PyJWT-2.8.0 anyio-3.7.1 apache-beam-2.50.0.dev0 attrs-23.1.0 azure-core-1.28.0 azure-identity-1.14.0b2 azure-storage-blob-12.17.0 boto3-1.28.5 botocore-1.31.5 certifi-2023.5.7 cffi-1.15.1 charset-normalizer-3.2.0 cloudpickle-2.2.1 crcmod-1.7 cryptography-41.0.2 deprecation-2.1.0 dill-0.3.1.1 dnspython-2.4.0 docker-6.1.3 docopt-0.6.2 exceptiongroup-1.1.2 execnet-2.0.2 fastavro-1.8.2 fasteners-0.18 freezegun-1.2.2 google-api-core-2.12.0.dev0 google-apitools-0.5.31 google-auth-2.22.0 google-auth-httplib2-0.1.0 google-cloud-aiplatform-1.28.0 google-cloud-bigquery-3.11.3 google-cloud-bigquery-storage-2.22.0 google-cloud-bigtable-2.19.0 google-cloud-core-2.3.3 google-cloud-datastore-2.16.1 google-cloud-dlp-3.12.2 google-cloud-language-2.10.1 google-cloud-pubsub-2.18.0 google-cloud-pubsublite-1.8.3 google-cloud-recommendations-ai-0.10.4 google-cloud-resource-manager-1.10.2 google-cloud-spanner-3.36.0 google-cloud-storage-2.10.0 google-cloud-videointelligence-2.11.3 google-cloud-vision-3.4.4 google-crc32c-1.5.0 google-resumable-media-2.5.0 googleapis-common-protos-1.59.1 greenlet-3.0.0a1 grpc-google-iam-v1-0.12.6 grpcio-status-1.56.0 h11-0.14.0 hdfs-2.7.0 httpcore-0.17.3 httplib2-0.22.0 hypothesis-6.81.2 idna-3.4 iniconfig-2.0.0 isodate-0.6.1 jmespath-1.0.1 joblib-1.3.1 mock-5.1.0 msal-1.22.0 msal-extensions-1.0.0 oauth2client-4.1.3 objsize-0.6.1 orjson-3.9.2 overrides-6.5.0 pandas-1.5.3 parameterized-0.9.0 portalocker-2.7.0 proto-plus-1.22.3 protobuf-4.23.4 psycopg2-binary-2.9.6 pyarrow-11.0.0 pyasn1-0.5.0 pyasn1-modules-0.3.0 pycparser-2.21 pydot-1.4.2 pyhamcrest-2.0.4 pymongo-4.4.1 pymysql-1.1.0 pyparsing-3.1.0 pytest-7.4.0 pytest-timeout-2.1.0 pytest-xdist-3.3.1 python-dateutil-2.8.2 pytz-2023.3 pyyaml-6.0.1 regex-2023.6.3 requests-2.31.0 requests_mock-1.11.0 rsa-4.9 s3transfer-0.6.1 scikit-learn-1.3.0 scipy-1.10.1 shapely-1.8.5.post1 six-1.16.0 sniffio-1.3.0 sortedcontainers-2.4.0 sqlalchemy-1.4.49 sqlparse-0.4.4 tenacity-8.2.2 testcontainers-3.7.1 threadpoolctl-3.2.0 typing-extensions-4.7.1 urllib3-1.26.16 websocket-client-1.6.1 wrapt-1.15.0 zstandard-0.21.0
> Task :sdks:python:apache_beam:testing:load_tests:run
INFO:apache_beam.runners.portability.stager:Copying Beam SDK "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/build/apache-beam.tar.gz"> 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 https://cloud.google.com/dataflow/docs/guides/using-custom-containers#prebuild
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230717" for Docker 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 gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0719125345.1689779311.771966/dataflow_python_sdk.tar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0719125345.1689779311.771966/dataflow_python_sdk.tar in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0719125345.1689779311.771966/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0719125345.1689779311.771966/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20230719150831772947-3458'
createTime: '2023-07-19T15:08:32.717097Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2023-07-19_08_08_32-9860344138887749672'
location: 'us-central1'
name: 'load-tests-python-dataflow-streaming-combine-1-0719125345'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2023-07-19T15:08:32.717097Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-07-19_08_08_32-9860344138887749672]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-07-19_08_08_32-9860344138887749672
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-07-19_08_08_32-9860344138887749672?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-07-19_08_08_32-9860344138887749672 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-19T15:08:37.266Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-c.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-19T15:08:41.643Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-19T15:08:41.663Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-19T15:08:41.708Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-19T15:08:41.766Z: JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-19T15:08:41.786Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write steps
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-19T15:08:41.825Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-19T15:08:41.865Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-19T15:08:41.894Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-19T15:08:41.913Z: JOB_MESSAGE_DETAILED: Fusing consumer Read synthetic/Map(<lambda at iobase.py:911>) into Read synthetic/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-19T15:08:41.935Z: JOB_MESSAGE_DETAILED: Fusing consumer ref_AppliedPTransform_Read-synthetic-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction into Read synthetic/Map(<lambda at iobase.py:911>)
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-19T15:08:42.004Z: 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:2023-07-19T15:08:42.022Z: 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:2023-07-19T15:08:42.040Z: JOB_MESSAGE_DETAILED: Fusing consumer Combine with Top 0/KeyWithVoid into Measure time: Start
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-19T15:08:42.055Z: 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:2023-07-19T15:08:42.078Z: 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:2023-07-19T15:08:42.101Z: 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:2023-07-19T15:08:42.127Z: 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:2023-07-19T15:08:42.149Z: 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:2023-07-19T15:08:42.170Z: JOB_MESSAGE_DETAILED: Fusing consumer Consume 0 into Combine with Top 0/UnKey
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-19T15:08:42.195Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure time: End 0 into Consume 0
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-19T15:08:42.262Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-19T15:08:42.282Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-19T15:08:42.305Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-19T15:08:42.329Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-19T15:08:42.349Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-19T15:08:42.500Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-19T15:08:42.525Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-c...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-19T15:08:42.559Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-07-19_08_08_32-9860344138887749672 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-19T15:09:12.496Z: 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:2023-07-19T15:09:23.214Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 1 so that the pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-19T15:09:23.236Z: JOB_MESSAGE_DETAILED: Autoscaling: Resized **** pool to 1, though goal was 5. This could be a quota issue.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-19T15:09:32.729Z: 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:2023-07-19T15:10:02.070Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-19T15:10:13.072Z: JOB_MESSAGE_DETAILED: All ****s have finished the startup processes and began to receive work requests.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-19T15:17:54.084Z: JOB_MESSAGE_WARNING: The ****s of given job are going to be updated.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-19T15:48:34.942Z: 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:2023-07-19T16:12:36.861Z: 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:2023-07-19T16:13:38.562Z: 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:2023-07-19T16:42:40.466Z: 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:2023-07-19T16:43:42.959Z: 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:2023-07-19T17:11:45.824Z: 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:2023-07-19T17:12:52.167Z: 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:2023-07-19T17:40:45.934Z: 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:2023-07-19T17:41:47.096Z: 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:2023-07-19T18:02:45.954Z: 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:2023-07-19T18:11:48.370Z: 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:2023-07-19T18:29:49.912Z: 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:2023-07-19T18:57:48.340Z: 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:2023-07-19T19:01:51.332Z: 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:2023-07-19T19:25:53.440Z: 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:2023-07-19T19:29:54.779Z: 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:2023-07-19T19:51:56.583Z: 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:2023-07-19T19:52:57.855Z: 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 2023-07-19_08_08_32-9860344138887749672 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-19T20:01:09.188Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2023-07-19_08_08_32-9860344138887749672.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-19T20:01:09.212Z: JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-19T20:01:09.255Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-19T20:01:09.270Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-19T20:01:09.293Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-19T20:01:09.312Z: JOB_MESSAGE_BASIC: Stopping **** pool...
Traceback (most recent call last):
File "/usr/lib/python3.8/runpy.py", line 194, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/usr/lib/python3.8/runpy.py", line 87, 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 748, in wait_until_finish
assert duration or terminated, (
AssertionError: Job did not reach to a terminal state after waiting indefinitely. Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2023-07-19_08_08_32-9860344138887749672?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: 63
* 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 6s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date
Publishing build scan...
https://ge.apache.org/s/lbnl7vobmuw5o
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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Build failed in Jenkins: beam_LoadTests_Python_Combine_Dataflow_Streaming #1059
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Changes:
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Building wheels for collected packages: apache-beam
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Installing collected packages: sortedcontainers, pytz, docopt, crcmod, zstandard, wrapt, websocket-client, urllib3, typing-extensions, threadpoolctl, tenacity, sqlparse, sniffio, six, shapely, scipy, regex, pyyaml, pyparsing, pymysql, PyJWT, pyhamcrest, pycparser, pyasn1, pyarrow, psycopg2-binary, protobuf, portalocker, parameterized, overrides, orjson, objsize, mock, joblib, jmespath, iniconfig, idna, h11, greenlet, google-crc32c, fasteners, fastavro, execnet, exceptiongroup, dill, deprecation, cloudpickle, charset-normalizer, certifi, attrs, sqlalchemy, scikit-learn, rsa, requests, python-dateutil, pytest, pydot, pyasn1-modules, proto-plus, isodate, hypothesis, httplib2, googleapis-common-protos, google-resumable-media, cffi, anyio, requests_mock, pytest-xdist, pytest-timeout, pandas, oauth2client, httpcore, hdfs, grpcio-status, google-auth, freezegun, docker, cryptography, botocore, azure-core, testcontainers, s3transfer, grpc-google-iam-v1, google-auth-httplib2, google-apitools, google-api-core, dnspython, azure-storage-blob, pymongo, msal, google-cloud-core, boto3, msal-extensions, google-cloud-vision, google-cloud-videointelligence, google-cloud-storage, google-cloud-spanner, google-cloud-resource-manager, google-cloud-recommendations-ai, google-cloud-pubsub, google-cloud-language, google-cloud-dlp, google-cloud-datastore, google-cloud-bigtable, google-cloud-bigquery-storage, google-cloud-bigquery, apache-beam, google-cloud-pubsublite, google-cloud-aiplatform, azure-identity
Attempting uninstall: protobuf
Found existing installation: protobuf 4.24.0rc1
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> Task :sdks:python:apache_beam:testing:load_tests:run
INFO:apache_beam.runners.portability.stager:Copying Beam SDK "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/build/apache-beam.tar.gz"> 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 https://cloud.google.com/dataflow/docs/guides/using-custom-containers#prebuild
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230705
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230705" for Docker 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 gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0718125349.1689692887.284345/dataflow_python_sdk.tar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0718125349.1689692887.284345/dataflow_python_sdk.tar in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0718125349.1689692887.284345/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0718125349.1689692887.284345/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20230718150807285453-1128'
createTime: '2023-07-18T15:08:08.205703Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2023-07-18_08_08_07-6233091062467024352'
location: 'us-central1'
name: 'load-tests-python-dataflow-streaming-combine-1-0718125349'
projectId: 'apache-beam-testing'
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startTime: '2023-07-18T15:08:08.205703Z'
steps: []
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INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-07-18_08_08_07-6233091062467024352]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-07-18_08_08_07-6233091062467024352
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-07-18_08_08_07-6233091062467024352?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-07-18_08_08_07-6233091062467024352 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-18T15:08:12.773Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-a.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-18T15:08:14.044Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-18T15:08:14.075Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-18T15:08:14.124Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-18T15:08:14.188Z: JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-18T15:08:14.214Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write steps
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-18T15:08:14.260Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-18T15:08:14.304Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-18T15:08:14.338Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-18T15:08:14.367Z: JOB_MESSAGE_DETAILED: Fusing consumer Read synthetic/Map(<lambda at iobase.py:911>) into Read synthetic/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-18T15:08:14.393Z: JOB_MESSAGE_DETAILED: Fusing consumer ref_AppliedPTransform_Read-synthetic-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction into Read synthetic/Map(<lambda at iobase.py:911>)
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-18T15:08:14.417Z: 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:2023-07-18T15:08:14.438Z: 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:2023-07-18T15:08:14.459Z: JOB_MESSAGE_DETAILED: Fusing consumer Combine with Top 0/KeyWithVoid into Measure time: Start
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-18T15:08:14.478Z: 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:2023-07-18T15:08:14.500Z: 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:2023-07-18T15:08:14.525Z: 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:2023-07-18T15:08:14.547Z: 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:2023-07-18T15:08:14.569Z: 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:2023-07-18T15:08:14.593Z: JOB_MESSAGE_DETAILED: Fusing consumer Consume 0 into Combine with Top 0/UnKey
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-18T15:08:14.618Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure time: End 0 into Consume 0
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-18T15:08:14.699Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-18T15:08:14.725Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-18T15:08:14.744Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-18T15:08:14.773Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-18T15:08:14.797Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-18T15:08:15.042Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-18T15:08:15.072Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-a...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-18T15:08:15.115Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-07-18_08_08_07-6233091062467024352 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-18T15:08:32.374Z: 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:2023-07-18T15:08:55.157Z: 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.
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INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-18T15:39:37.753Z: 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:2023-07-18T15:41:38.624Z: 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:2023-07-18T16:07:40.156Z: 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:2023-07-18T16:08:42.290Z: 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:2023-07-18T16:37:04.221Z: 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:2023-07-18T16:37:45.993Z: 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:2023-07-18T16:59:47.900Z: 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.
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INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-18T18:16:56.472Z: 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:2023-07-18T18:27:56.059Z: 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.
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INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-18T19:15:01.552Z: 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:2023-07-18T19:18:05.027Z: 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:2023-07-18T19:41:02.978Z: 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:2023-07-18T19:45:04.693Z: 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 2023-07-18_08_08_07-6233091062467024352 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-18T20:01:06.060Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2023-07-18_08_08_07-6233091062467024352.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-18T20:01:06.096Z: JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-18T20:01:06.160Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-18T20:01:06.186Z: JOB_MESSAGE_BASIC: Stopping **** pool...
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INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-18T20:01:06.224Z: JOB_MESSAGE_BASIC: Stopping **** pool...
Traceback (most recent call last):
File "/usr/lib/python3.8/runpy.py", line 194, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/usr/lib/python3.8/runpy.py", line 87, 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 748, in wait_until_finish
assert duration or terminated, (
AssertionError: Job did not reach to a terminal state after waiting indefinitely. Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2023-07-18_08_08_07-6233091062467024352?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: 63
* 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 8s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date
Publishing build scan...
https://ge.apache.org/s/gblsuh4pyhxwq
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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Build failed in Jenkins: beam_LoadTests_Python_Combine_Dataflow_Streaming #1058
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/1058/display/redirect?page=changes>
Changes:
[noreply] Update Beam website to release 2.49.0 (#27374)
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Building wheels for collected packages: apache-beam
Building wheel for apache-beam (setup.py): started
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Installing collected packages: sortedcontainers, pytz, docopt, crcmod, zstandard, wrapt, websocket-client, urllib3, typing-extensions, threadpoolctl, tenacity, sqlparse, sniffio, six, shapely, scipy, regex, pyyaml, pyparsing, pymysql, PyJWT, pyhamcrest, pycparser, pyasn1, pyarrow, psycopg2-binary, protobuf, portalocker, parameterized, overrides, orjson, objsize, mock, joblib, jmespath, iniconfig, idna, h11, greenlet, google-crc32c, fasteners, fastavro, execnet, exceptiongroup, dill, deprecation, cloudpickle, charset-normalizer, certifi, attrs, sqlalchemy, scikit-learn, rsa, requests, python-dateutil, pytest, pydot, pyasn1-modules, proto-plus, isodate, hypothesis, httplib2, googleapis-common-protos, google-resumable-media, cffi, anyio, requests_mock, pytest-xdist, pytest-timeout, pandas, oauth2client, httpcore, hdfs, grpcio-status, google-auth, freezegun, docker, cryptography, botocore, azure-core, testcontainers, s3transfer, grpc-google-iam-v1, google-auth-httplib2, google-apitools, google-api-core, dnspython, azure-storage-blob, pymongo, msal, google-cloud-core, boto3, msal-extensions, google-cloud-vision, google-cloud-videointelligence, google-cloud-storage, google-cloud-spanner, google-cloud-resource-manager, google-cloud-recommendations-ai, google-cloud-pubsub, google-cloud-language, google-cloud-dlp, google-cloud-datastore, google-cloud-bigtable, google-cloud-bigquery-storage, google-cloud-bigquery, apache-beam, google-cloud-pubsublite, google-cloud-aiplatform, azure-identity
Attempting uninstall: protobuf
Found existing installation: protobuf 4.24.0rc1
Uninstalling protobuf-4.24.0rc1:
Successfully uninstalled protobuf-4.24.0rc1
Successfully installed PyJWT-2.7.0 anyio-3.7.1 apache-beam-2.50.0.dev0 attrs-23.1.0 azure-core-1.28.0 azure-identity-1.14.0b2 azure-storage-blob-12.17.0 boto3-1.28.3 botocore-1.31.3 certifi-2023.5.7 cffi-1.15.1 charset-normalizer-3.2.0 cloudpickle-2.2.1 crcmod-1.7 cryptography-41.0.2 deprecation-2.1.0 dill-0.3.1.1 dnspython-2.4.0 docker-6.1.3 docopt-0.6.2 exceptiongroup-1.1.2 execnet-2.0.2 fastavro-1.8.0 fasteners-0.18 freezegun-1.2.2 google-api-core-2.12.0.dev0 google-apitools-0.5.31 google-auth-2.22.0 google-auth-httplib2-0.1.0 google-cloud-aiplatform-1.28.0 google-cloud-bigquery-3.11.3 google-cloud-bigquery-storage-2.22.0 google-cloud-bigtable-2.19.0 google-cloud-core-2.3.3 google-cloud-datastore-2.16.1 google-cloud-dlp-3.12.2 google-cloud-language-2.10.1 google-cloud-pubsub-2.18.0 google-cloud-pubsublite-1.8.3 google-cloud-recommendations-ai-0.10.4 google-cloud-resource-manager-1.10.2 google-cloud-spanner-3.36.0 google-cloud-storage-2.10.0 google-cloud-videointelligence-2.11.3 google-cloud-vision-3.4.4 google-crc32c-1.5.0 google-resumable-media-2.5.0 googleapis-common-protos-1.59.1 greenlet-3.0.0a1 grpc-google-iam-v1-0.12.6 grpcio-status-1.56.0 h11-0.14.0 hdfs-2.7.0 httpcore-0.17.3 httplib2-0.22.0 hypothesis-6.81.2 idna-3.4 iniconfig-2.0.0 isodate-0.6.1 jmespath-1.0.1 joblib-1.3.1 mock-5.1.0 msal-1.22.0 msal-extensions-1.0.0 oauth2client-4.1.3 objsize-0.6.1 orjson-3.9.2 overrides-6.5.0 pandas-1.5.3 parameterized-0.9.0 portalocker-2.7.0 proto-plus-1.22.3 protobuf-4.23.4 psycopg2-binary-2.9.6 pyarrow-11.0.0 pyasn1-0.5.0 pyasn1-modules-0.3.0 pycparser-2.21 pydot-1.4.2 pyhamcrest-2.0.4 pymongo-4.4.1 pymysql-1.1.0 pyparsing-3.1.0 pytest-7.4.0 pytest-timeout-2.1.0 pytest-xdist-3.3.1 python-dateutil-2.8.2 pytz-2023.3 pyyaml-6.0 regex-2023.6.3 requests-2.31.0 requests_mock-1.11.0 rsa-4.9 s3transfer-0.6.1 scikit-learn-1.3.0 scipy-1.10.1 shapely-1.8.5.post1 six-1.16.0 sniffio-1.3.0 sortedcontainers-2.4.0 sqlalchemy-1.4.49 sqlparse-0.4.4 tenacity-8.2.2 testcontainers-3.7.1 threadpoolctl-3.2.0 typing-extensions-4.7.1 urllib3-1.26.16 websocket-client-1.6.1 wrapt-1.15.0 zstandard-0.21.0
> Task :sdks:python:apache_beam:testing:load_tests:run
INFO:apache_beam.runners.portability.stager:Copying Beam SDK "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/build/apache-beam.tar.gz"> 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 https://cloud.google.com/dataflow/docs/guides/using-custom-containers#prebuild
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230705
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230705" for Docker 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 gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0717125347.1689606475.917729/dataflow_python_sdk.tar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0717125347.1689606475.917729/dataflow_python_sdk.tar in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0717125347.1689606475.917729/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0717125347.1689606475.917729/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20230717150755918746-5474'
createTime: '2023-07-17T15:07:56.910603Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2023-07-17_08_07_56-500285312704992152'
location: 'us-central1'
name: 'load-tests-python-dataflow-streaming-combine-1-0717125347'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2023-07-17T15:07:56.910603Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-07-17_08_07_56-500285312704992152]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-07-17_08_07_56-500285312704992152
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-07-17_08_07_56-500285312704992152?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-07-17_08_07_56-500285312704992152 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-17T15:08:04.877Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-f.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-17T15:08:06.105Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-17T15:08:06.131Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-17T15:08:06.184Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-17T15:08:06.233Z: JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-17T15:08:06.255Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write steps
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-17T15:08:06.303Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-17T15:08:06.359Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-17T15:08:06.386Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-17T15:08:06.405Z: JOB_MESSAGE_DETAILED: Fusing consumer Read synthetic/Map(<lambda at iobase.py:911>) into Read synthetic/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-17T15:08:06.427Z: JOB_MESSAGE_DETAILED: Fusing consumer ref_AppliedPTransform_Read-synthetic-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction into Read synthetic/Map(<lambda at iobase.py:911>)
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-17T15:08:06.448Z: 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:2023-07-17T15:08:06.472Z: 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:2023-07-17T15:08:06.498Z: JOB_MESSAGE_DETAILED: Fusing consumer Combine with Top 0/KeyWithVoid into Measure time: Start
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-17T15:08:06.520Z: 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:2023-07-17T15:08:06.543Z: 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:2023-07-17T15:08:06.566Z: 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:2023-07-17T15:08:06.587Z: 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:2023-07-17T15:08:06.613Z: 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:2023-07-17T15:08:06.631Z: JOB_MESSAGE_DETAILED: Fusing consumer Consume 0 into Combine with Top 0/UnKey
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-17T15:08:06.652Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure time: End 0 into Consume 0
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-17T15:08:06.722Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-17T15:08:06.745Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-17T15:08:06.771Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-17T15:08:06.802Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-17T15:08:06.826Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-17T15:08:06.935Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-17T15:08:06.959Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-f...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-17T15:08:07.009Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-07-17_08_07_56-500285312704992152 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-17T15:08:18.629Z: 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:2023-07-17T15:08:46.840Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 2 so that the pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-17T15:08:46.897Z: JOB_MESSAGE_DETAILED: Autoscaling: Resized **** pool to 2, though goal was 5. This could be a quota issue.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-17T15:08:56.658Z: 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:2023-07-17T15:09:26.195Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-17T15:09:36.476Z: JOB_MESSAGE_DETAILED: All ****s have finished the startup processes and began to receive work requests.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-17T15:32:13.400Z: JOB_MESSAGE_WARNING: The ****s of given job are going to be updated.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-17T15:58:05.099Z: 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:2023-07-17T16:03:17.064Z: 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:2023-07-17T16:18:09.264Z: 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:2023-07-17T16:25:07.769Z: 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:2023-07-17T16:31:09.284Z: 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:2023-07-17T16:42:13.464Z: 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:2023-07-17T16:52:14.701Z: 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:2023-07-17T17:08:12.265Z: 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:2023-07-17T17:09:13.800Z: 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:2023-07-17T17:20:17.894Z: 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:2023-07-17T17:36:16.673Z: 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:2023-07-17T17:37:18.626Z: 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:2023-07-17T17:48:21.509Z: 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:2023-07-17T17:59:14.563Z: 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:2023-07-17T18:00:35.679Z: 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:2023-07-17T18:16:26.124Z: 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:2023-07-17T18:29:29.476Z: 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:2023-07-17T18:30:27.279Z: 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:2023-07-17T18:45:31.417Z: 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:2023-07-17T18:51:29.217Z: 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:2023-07-17T18:58:30.874Z: 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:2023-07-17T19:11:33.567Z: 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:2023-07-17T19:12:25.424Z: 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:2023-07-17T19:19:46.223Z: 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:2023-07-17T19:24:38.074Z: 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:2023-07-17T19:33:40.166Z: 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:2023-07-17T19:39:41.543Z: 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:2023-07-17T19:45:45.948Z: 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:2023-07-17T19:46:47.790Z: 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:2023-07-17T19:54:48.982Z: 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:2023-07-17T20:00:37.753Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2023-07-17_08_07_56-500285312704992152.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-17T20:00:37.781Z: JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-17T20:00:37.852Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-17T20:00:37.873Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-17T20:00:37.901Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-17T20:00:37.923Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-07-17_08_07_56-500285312704992152 is in state JOB_STATE_CANCELLING
Traceback (most recent call last):
File "/usr/lib/python3.8/runpy.py", line 194, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/usr/lib/python3.8/runpy.py", line 87, 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 748, in wait_until_finish
assert duration or terminated, (
AssertionError: Job did not reach to a terminal state after waiting indefinitely. Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2023-07-17_08_07_56-500285312704992152?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: 63
* 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 10s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date
Publishing build scan...
https://ge.apache.org/s/x2v7zus7ke7d2
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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> Task :sdks:python:apache_beam:testing:load_tests:run
INFO:apache_beam.runners.portability.stager:Copying Beam SDK "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/build/apache-beam.tar.gz"> 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 https://cloud.google.com/dataflow/docs/guides/using-custom-containers#prebuild
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230705
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230705" for Docker 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 gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0716125338.1689520136.248034/dataflow_python_sdk.tar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0716125338.1689520136.248034/dataflow_python_sdk.tar in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0716125338.1689520136.248034/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0716125338.1689520136.248034/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
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INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-07-16_08_08_56-4043061278503235711]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-07-16_08_08_56-4043061278503235711
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-07-16_08_08_56-4043061278503235711?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-07-16_08_08_56-4043061278503235711 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-16T15:09:02.827Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-f.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-16T15:09:03.905Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-16T15:09:03.933Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-16T15:09:04.002Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-16T15:09:04.057Z: JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-16T15:09:04.080Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write steps
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-16T15:09:04.132Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-16T15:09:04.180Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-16T15:09:04.221Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-16T15:09:04.252Z: JOB_MESSAGE_DETAILED: Fusing consumer Read synthetic/Map(<lambda at iobase.py:911>) into Read synthetic/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-16T15:09:04.277Z: JOB_MESSAGE_DETAILED: Fusing consumer ref_AppliedPTransform_Read-synthetic-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction into Read synthetic/Map(<lambda at iobase.py:911>)
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-16T15:09:04.301Z: 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:2023-07-16T15:09:04.323Z: 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:2023-07-16T15:09:04.348Z: JOB_MESSAGE_DETAILED: Fusing consumer Combine with Top 0/KeyWithVoid into Measure time: Start
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-16T15:09:04.373Z: 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:2023-07-16T15:09:04.395Z: 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:2023-07-16T15:09:04.418Z: 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:2023-07-16T15:09:04.445Z: 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:2023-07-16T15:09:04.466Z: 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:2023-07-16T15:09:04.492Z: JOB_MESSAGE_DETAILED: Fusing consumer Consume 0 into Combine with Top 0/UnKey
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-16T15:09:04.514Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure time: End 0 into Consume 0
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-16T15:09:04.596Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-16T15:09:04.614Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-16T15:09:04.640Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
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INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-16T15:09:04.703Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-16T15:09:04.899Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-16T15:09:04.917Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-f...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-16T15:09:04.994Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-07-16_08_08_56-4043061278503235711 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-16T15:09:13.925Z: 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:2023-07-16T15:09:47.249Z: 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:2023-07-16T15:10:03.761Z: JOB_MESSAGE_WARNING: The ****s of given job are going to be updated.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-16T15:10:22.909Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-16T15:12:58.136Z: JOB_MESSAGE_DETAILED: All ****s have finished the startup processes and began to receive work requests.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-16T15:34:28.510Z: 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:2023-07-16T15:41:29.587Z: 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:2023-07-16T15:42:31.528Z: 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:2023-07-16T16:01:33.918Z: 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:2023-07-16T16:03:31.288Z: 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:2023-07-16T16:10:33.256Z: 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:2023-07-16T16:24:36.082Z: 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:2023-07-16T16:27:37.491Z: 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.
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INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-16T17:33:48.095Z: 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:2023-07-16T17:45:49.366Z: 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.
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INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-16T17:54:51.860Z: 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:2023-07-16T18:13:55.043Z: 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:2023-07-16T18:14:56.272Z: 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:2023-07-16T18:16:58.082Z: 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:2023-07-16T18:34:59.711Z: 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:2023-07-16T18:38:01.086Z: 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:2023-07-16T18:42:59.033Z: 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:2023-07-16T18:44:02.103Z: 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:2023-07-16T19:01:04.230Z: 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:2023-07-16T19:06:05.397Z: 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:2023-07-16T19:12:07.281Z: 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:2023-07-16T19:13:08.374Z: 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:2023-07-16T19:22:09.629Z: 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:2023-07-16T19:34:21.494Z: 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:2023-07-16T19:40:11.354Z: 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.
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INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-16T19:43:16.724Z: 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:2023-07-16T19:55:18.721Z: 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 2023-07-16_08_08_56-4043061278503235711 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-16T20:01:02.087Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2023-07-16_08_08_56-4043061278503235711.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-16T20:01:02.137Z: JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-16T20:01:02.181Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-16T20:01:02.201Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-16T20:01:02.296Z: JOB_MESSAGE_DETAILED: Autoscaling: Reduced the number of ****s to 4 based on low average **** CPU utilization, and the pipeline having sufficiently low backlog and keeping up with input rate.
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INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-16T20:01:02.343Z: JOB_MESSAGE_BASIC: Stopping **** pool...
Traceback (most recent call last):
File "/usr/lib/python3.8/runpy.py", line 194, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/usr/lib/python3.8/runpy.py", line 87, 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 748, in wait_until_finish
assert duration or terminated, (
AssertionError: Job did not reach to a terminal state after waiting indefinitely. Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2023-07-16_08_08_56-4043061278503235711?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: 63
* 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 4s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date
Publishing build scan...
https://ge.apache.org/s/jwe5irv2qqbb4
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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Build failed in Jenkins: beam_LoadTests_Python_Combine_Dataflow_Streaming #1056
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/1056/display/redirect>
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Building wheels for collected packages: apache-beam
Building wheel for apache-beam (setup.py): started
Building wheel for apache-beam (setup.py): finished with status 'done'
Created wheel for apache-beam: filename=apache_beam-2.50.0.dev0-py3-none-any.whl size=3239644 sha256=66e2efcd704972faae7d53fc3acb5d93c6d60a39b7d3a139f7d15453610f0bf8
Stored in directory: /home/jenkins/.cache/pip/wheels/67/34/b8/5adce605a0a3f10491be234729fa4854c6a127bc01194f13fc
Successfully built apache-beam
Installing collected packages: sortedcontainers, pytz, docopt, crcmod, zstandard, wrapt, websocket-client, urllib3, typing-extensions, threadpoolctl, tenacity, sqlparse, sniffio, six, shapely, scipy, regex, pyyaml, pyparsing, pymysql, PyJWT, pyhamcrest, pycparser, pyasn1, pyarrow, psycopg2-binary, protobuf, portalocker, parameterized, overrides, orjson, objsize, mock, joblib, jmespath, iniconfig, idna, greenlet, google-crc32c, fasteners, fastavro, execnet, exceptiongroup, dill, deprecation, cloudpickle, charset-normalizer, certifi, attrs, sqlalchemy, scikit-learn, rsa, requests, python-dateutil, pytest, pydot, pyasn1-modules, proto-plus, isodate, hypothesis, httplib2, googleapis-common-protos, google-resumable-media, dnspython, cffi, requests_mock, pytest-xdist, pytest-timeout, pymongo, pandas, oauth2client, hdfs, grpcio-status, google-auth, freezegun, docker, cryptography, botocore, azure-core, testcontainers, s3transfer, grpc-google-iam-v1, google-auth-httplib2, google-apitools, google-api-core, azure-storage-blob, apache-beam, msal, google-cloud-core, boto3, msal-extensions, google-cloud-vision, google-cloud-videointelligence, google-cloud-storage, google-cloud-spanner, google-cloud-resource-manager, google-cloud-recommendations-ai, google-cloud-pubsub, google-cloud-language, google-cloud-dlp, google-cloud-datastore, google-cloud-bigtable, google-cloud-bigquery-storage, google-cloud-bigquery, google-cloud-pubsublite, google-cloud-aiplatform, azure-identity
Attempting uninstall: protobuf
Found existing installation: protobuf 4.24.0rc1
Uninstalling protobuf-4.24.0rc1:
Successfully uninstalled protobuf-4.24.0rc1
Successfully installed PyJWT-2.7.0 apache-beam-2.50.0.dev0 attrs-23.1.0 azure-core-1.28.0 azure-identity-1.14.0b2 azure-storage-blob-12.17.0 boto3-1.28.3 botocore-1.31.3 certifi-2023.5.7 cffi-1.15.1 charset-normalizer-3.2.0 cloudpickle-2.2.1 crcmod-1.7 cryptography-41.0.2 deprecation-2.1.0 dill-0.3.1.1 dnspython-2.4.0rc1 docker-6.1.3 docopt-0.6.2 exceptiongroup-1.1.2 execnet-2.0.2 fastavro-1.8.0 fasteners-0.18 freezegun-1.2.2 google-api-core-2.12.0.dev0 google-apitools-0.5.31 google-auth-2.22.0 google-auth-httplib2-0.1.0 google-cloud-aiplatform-1.28.0 google-cloud-bigquery-3.11.3 google-cloud-bigquery-storage-2.22.0 google-cloud-bigtable-2.19.0 google-cloud-core-2.3.3 google-cloud-datastore-2.16.1 google-cloud-dlp-3.12.2 google-cloud-language-2.10.1 google-cloud-pubsub-2.18.0 google-cloud-pubsublite-1.8.3 google-cloud-recommendations-ai-0.10.4 google-cloud-resource-manager-1.10.2 google-cloud-spanner-3.36.0 google-cloud-storage-2.10.0 google-cloud-videointelligence-2.11.3 google-cloud-vision-3.4.4 google-crc32c-1.5.0 google-resumable-media-2.5.0 googleapis-common-protos-1.59.1 greenlet-3.0.0a1 grpc-google-iam-v1-0.12.6 grpcio-status-1.56.0 hdfs-2.7.0 httplib2-0.22.0 hypothesis-6.81.2 idna-3.4 iniconfig-2.0.0 isodate-0.6.1 jmespath-1.0.1 joblib-1.3.1 mock-5.1.0 msal-1.22.0 msal-extensions-1.0.0 oauth2client-4.1.3 objsize-0.6.1 orjson-3.9.2 overrides-6.5.0 pandas-1.5.3 parameterized-0.9.0 portalocker-2.7.0 proto-plus-1.22.3 protobuf-4.23.4 psycopg2-binary-2.9.6 pyarrow-11.0.0 pyasn1-0.5.0 pyasn1-modules-0.3.0 pycparser-2.21 pydot-1.4.2 pyhamcrest-2.0.4 pymongo-4.4.1 pymysql-1.1.0 pyparsing-3.1.0 pytest-7.4.0 pytest-timeout-2.1.0 pytest-xdist-3.3.1 python-dateutil-2.8.2 pytz-2023.3 pyyaml-6.0 regex-2023.6.3 requests-2.31.0 requests_mock-1.11.0 rsa-4.9 s3transfer-0.6.1 scikit-learn-1.3.0 scipy-1.10.1 shapely-1.8.5.post1 six-1.16.0 sniffio-1.3.0 sortedcontainers-2.4.0 sqlalchemy-1.4.49 sqlparse-0.4.4 tenacity-8.2.2 testcontainers-3.7.1 threadpoolctl-3.2.0 typing-extensions-4.7.1 urllib3-1.26.16 websocket-client-1.6.1 wrapt-1.15.0 zstandard-0.21.0
> Task :sdks:python:apache_beam:testing:load_tests:run
INFO:apache_beam.runners.portability.stager:Copying Beam SDK "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/build/apache-beam.tar.gz"> 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 https://cloud.google.com/dataflow/docs/guides/using-custom-containers#prebuild
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230705
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230705" for Docker 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 gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0715125345.1689433671.852704/dataflow_python_sdk.tar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0715125345.1689433671.852704/dataflow_python_sdk.tar in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0715125345.1689433671.852704/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0715125345.1689433671.852704/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20230715150751853676-9234'
createTime: '2023-07-15T15:07:52.821404Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2023-07-15_08_07_52-7186890327035216844'
location: 'us-central1'
name: 'load-tests-python-dataflow-streaming-combine-1-0715125345'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2023-07-15T15:07:52.821404Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-07-15_08_07_52-7186890327035216844]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-07-15_08_07_52-7186890327035216844
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-07-15_08_07_52-7186890327035216844?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-07-15_08_07_52-7186890327035216844 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-15T15:07:58.267Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-f.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-15T15:07:59.543Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-15T15:07:59.574Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-15T15:07:59.624Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-15T15:07:59.691Z: JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-15T15:07:59.723Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write steps
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-15T15:07:59.767Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-15T15:07:59.822Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-15T15:07:59.899Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-15T15:07:59.941Z: JOB_MESSAGE_DETAILED: Fusing consumer Read synthetic/Map(<lambda at iobase.py:911>) into Read synthetic/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-15T15:07:59.972Z: JOB_MESSAGE_DETAILED: Fusing consumer ref_AppliedPTransform_Read-synthetic-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction into Read synthetic/Map(<lambda at iobase.py:911>)
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-15T15:08:00.004Z: 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:2023-07-15T15:08:00.030Z: 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:2023-07-15T15:08:00.055Z: JOB_MESSAGE_DETAILED: Fusing consumer Combine with Top 0/KeyWithVoid into Measure time: Start
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-15T15:08:00.077Z: 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:2023-07-15T15:08:00.103Z: 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:2023-07-15T15:08:00.128Z: 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:2023-07-15T15:08:00.154Z: 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:2023-07-15T15:08:00.177Z: 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:2023-07-15T15:08:00.206Z: JOB_MESSAGE_DETAILED: Fusing consumer Consume 0 into Combine with Top 0/UnKey
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-15T15:08:00.233Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure time: End 0 into Consume 0
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-15T15:08:00.323Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-15T15:08:00.345Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-15T15:08:00.368Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-15T15:08:00.400Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-15T15:08:00.428Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-15T15:08:00.605Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-15T15:08:00.633Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-f...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-15T15:08:00.699Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-07-15_08_07_52-7186890327035216844 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-15T15:08:32.275Z: 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:2023-07-15T15:08:41.489Z: 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:2023-07-15T15:08:41.513Z: 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:2023-07-15T15:08:51.378Z: 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:2023-07-15T15:09:19.592Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-15T15:09:26.946Z: JOB_MESSAGE_DETAILED: All ****s have finished the startup processes and began to receive work requests.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-15T15:24:40.212Z: JOB_MESSAGE_WARNING: The ****s of given job are going to be updated.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-15T15:48:55.771Z: 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:2023-07-15T15:54:57.849Z: 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:2023-07-15T15:55:59.467Z: 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:2023-07-15T16:09:57.508Z: 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:2023-07-15T16:18:00.349Z: 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:2023-07-15T16:23:02.469Z: 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:2023-07-15T16:37:04.830Z: 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:2023-07-15T16:45:06.239Z: 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:2023-07-15T16:46:08.035Z: 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:2023-07-15T17:04:09.830Z: 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:2023-07-15T17:07:10.944Z: 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:2023-07-15T17:13:07.984Z: 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:2023-07-15T17:14:09.371Z: 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:2023-07-15T17:36:12.089Z: 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:2023-07-15T17:37:14.285Z: 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:2023-07-15T17:42:17.175Z: 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:2023-07-15T18:03:15.835Z: 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:2023-07-15T18:04:17.875Z: 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:2023-07-15T18:10:20.064Z: 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:2023-07-15T18:30:32.094Z: 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:2023-07-15T18:31:33.362Z: 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:2023-07-15T18:32:27.046Z: 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:2023-07-15T18:40:28.545Z: 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:2023-07-15T18:50:30.234Z: 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:2023-07-15T18:59:28.308Z: 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:2023-07-15T19:00:30.253Z: 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:2023-07-15T19:08:33.999Z: 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:2023-07-15T19:18:35.505Z: 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:2023-07-15T19:26:32.985Z: 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:2023-07-15T19:27:45.214Z: 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:2023-07-15T19:36:37.309Z: 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:2023-07-15T19:39:39.273Z: 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:2023-07-15T19:54:41.818Z: 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:2023-07-15T19:55:43.904Z: 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 2023-07-15_08_07_52-7186890327035216844 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-15T20:00:45.660Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2023-07-15_08_07_52-7186890327035216844.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-15T20:00:45.707Z: JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-15T20:00:45.792Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-15T20:00:45.813Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-15T20:00:45.830Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-15T20:00:45.853Z: JOB_MESSAGE_BASIC: Stopping **** pool...
Traceback (most recent call last):
File "/usr/lib/python3.8/runpy.py", line 194, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/usr/lib/python3.8/runpy.py", line 87, 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 748, in wait_until_finish
assert duration or terminated, (
AssertionError: Job did not reach to a terminal state after waiting indefinitely. Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2023-07-15_08_07_52-7186890327035216844?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: 63
* 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 10s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date
Publishing build scan...
https://ge.apache.org/s/663gtwn6p52l6
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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Build failed in Jenkins: beam_LoadTests_Python_Combine_Dataflow_Streaming #1055
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/1055/display/redirect>
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Installing collected packages: sortedcontainers, pytz, docopt, crcmod, zstandard, wrapt, websocket-client, urllib3, typing-extensions, threadpoolctl, tenacity, sqlparse, sniffio, six, shapely, scipy, regex, pyyaml, pyparsing, pymysql, PyJWT, pyhamcrest, pycparser, pyasn1, pyarrow, psycopg2-binary, protobuf, portalocker, parameterized, overrides, orjson, objsize, mock, joblib, jmespath, iniconfig, idna, greenlet, google-crc32c, fasteners, fastavro, execnet, exceptiongroup, dill, deprecation, cloudpickle, charset-normalizer, certifi, attrs, sqlalchemy, scikit-learn, rsa, requests, python-dateutil, pytest, pydot, pyasn1-modules, proto-plus, isodate, hypothesis, httplib2, googleapis-common-protos, google-resumable-media, dnspython, cffi, requests_mock, pytest-xdist, pytest-timeout, pymongo, pandas, oauth2client, hdfs, grpcio-status, google-auth, freezegun, docker, cryptography, botocore, azure-core, testcontainers, s3transfer, grpc-google-iam-v1, google-auth-httplib2, google-apitools, google-api-core, azure-storage-blob, apache-beam, msal, google-cloud-core, boto3, msal-extensions, google-cloud-vision, google-cloud-videointelligence, google-cloud-storage, google-cloud-spanner, google-cloud-resource-manager, google-cloud-recommendations-ai, google-cloud-pubsub, google-cloud-language, google-cloud-dlp, google-cloud-datastore, google-cloud-bigtable, google-cloud-bigquery-storage, google-cloud-bigquery, google-cloud-pubsublite, google-cloud-aiplatform, azure-identity
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Found existing installation: protobuf 4.24.0rc1
Uninstalling protobuf-4.24.0rc1:
Successfully uninstalled protobuf-4.24.0rc1
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> Task :sdks:python:apache_beam:testing:load_tests:run
INFO:apache_beam.runners.portability.stager:Copying Beam SDK "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/build/apache-beam.tar.gz"> 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 https://cloud.google.com/dataflow/docs/guides/using-custom-containers#prebuild
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230705
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230705" for Docker 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 gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0714125349.1689347269.469390/dataflow_python_sdk.tar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0714125349.1689347269.469390/dataflow_python_sdk.tar in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0714125349.1689347269.469390/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0714125349.1689347269.469390/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20230714150749470410-5652'
createTime: '2023-07-14T15:07:50.335834Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2023-07-14_08_07_49-4908261760408134229'
location: 'us-central1'
name: 'load-tests-python-dataflow-streaming-combine-1-0714125349'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2023-07-14T15:07:50.335834Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-07-14_08_07_49-4908261760408134229]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-07-14_08_07_49-4908261760408134229
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-07-14_08_07_49-4908261760408134229?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-07-14_08_07_49-4908261760408134229 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-14T15:07:57.486Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-f.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-14T15:07:58.597Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-14T15:07:58.630Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-14T15:07:58.689Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-14T15:07:58.747Z: JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-14T15:07:58.775Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write steps
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-14T15:07:58.824Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-14T15:07:58.874Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-14T15:07:58.913Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-14T15:07:58.939Z: JOB_MESSAGE_DETAILED: Fusing consumer Read synthetic/Map(<lambda at iobase.py:911>) into Read synthetic/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-14T15:07:58.964Z: JOB_MESSAGE_DETAILED: Fusing consumer ref_AppliedPTransform_Read-synthetic-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction into Read synthetic/Map(<lambda at iobase.py:911>)
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-14T15:07:58.988Z: 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:2023-07-14T15:07:59.018Z: 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:2023-07-14T15:07:59.044Z: JOB_MESSAGE_DETAILED: Fusing consumer Combine with Top 0/KeyWithVoid into Measure time: Start
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-14T15:07:59.067Z: 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:2023-07-14T15:07:59.091Z: 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:2023-07-14T15:07:59.116Z: 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:2023-07-14T15:07:59.146Z: 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:2023-07-14T15:07:59.167Z: 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:2023-07-14T15:07:59.189Z: JOB_MESSAGE_DETAILED: Fusing consumer Consume 0 into Combine with Top 0/UnKey
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-14T15:07:59.215Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure time: End 0 into Consume 0
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-14T15:07:59.295Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-14T15:07:59.322Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-14T15:07:59.343Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-14T15:07:59.377Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-14T15:07:59.405Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-14T15:07:59.571Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-14T15:07:59.598Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-f...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-14T15:07:59.654Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-07-14_08_07_49-4908261760408134229 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-14T15:08:15.284Z: 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:2023-07-14T15:08:42.337Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 1 so that the pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-14T15:08:42.364Z: JOB_MESSAGE_DETAILED: Autoscaling: Resized **** pool to 1, though goal was 5. This could be a quota issue.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-14T15:08:49.085Z: 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:2023-07-14T15:09:16.166Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-14T15:09:28.172Z: JOB_MESSAGE_DETAILED: All ****s have finished the startup processes and began to receive work requests.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-14T15:15:44.245Z: JOB_MESSAGE_WARNING: The ****s of given job are going to be updated.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-14T15:45:51.134Z: 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:2023-07-14T15:46:52.765Z: 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:2023-07-14T16:09:05.523Z: 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:2023-07-14T16:10:57.824Z: 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:2023-07-14T16:12:58.925Z: 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:2023-07-14T16:13:58.353Z: 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:2023-07-14T16:15:59.572Z: 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:2023-07-14T16:38:01.863Z: 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:2023-07-14T16:39:03.806Z: 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:2023-07-14T16:44:04.920Z: 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:2023-07-14T16:53:16.933Z: 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:2023-07-14T17:01:05.912Z: 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:2023-07-14T17:06:08.443Z: 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:2023-07-14T17:11:19.653Z: 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:2023-07-14T17:20:11.665Z: 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:2023-07-14T17:28:12.873Z: 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:2023-07-14T17:32:14.171Z: 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:2023-07-14T17:33:15.873Z: 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:2023-07-14T17:47:18.751Z: 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:2023-07-14T17:56:20.674Z: 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:2023-07-14T18:00:22.634Z: 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:2023-07-14T18:02:23.411Z: 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:2023-07-14T18:15:26.889Z: 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:2023-07-14T18:23:59.241Z: 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:2023-07-14T18:29:40.569Z: 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:2023-07-14T18:30:31.790Z: 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:2023-07-14T18:42:34.452Z: 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:2023-07-14T18:51:47.097Z: 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:2023-07-14T18:57:39.052Z: 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:2023-07-14T18:58:40.089Z: 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:2023-07-14T19:05:42.424Z: 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:2023-07-14T19:20:44.319Z: 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:2023-07-14T19:25:45.967Z: 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:2023-07-14T19:28:47.562Z: 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:2023-07-14T19:33:49.495Z: 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:2023-07-14T19:46:50.416Z: 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:2023-07-14T19:48:51.962Z: 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:2023-07-14T19:50:03.555Z: 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 2023-07-14_08_07_49-4908261760408134229 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-14T20:01:02.823Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2023-07-14_08_07_49-4908261760408134229.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-14T20:01:02.859Z: JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-14T20:01:02.927Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-14T20:01:02.954Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-14T20:01:02.973Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-14T20:01:02.999Z: JOB_MESSAGE_BASIC: Stopping **** pool...
Traceback (most recent call last):
File "/usr/lib/python3.8/runpy.py", line 194, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/usr/lib/python3.8/runpy.py", line 87, 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 748, in wait_until_finish
assert duration or terminated, (
AssertionError: Job did not reach to a terminal state after waiting indefinitely. Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2023-07-14_08_07_49-4908261760408134229?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: 63
* 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 13s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date
Publishing build scan...
https://ge.apache.org/s/lgsess6sjtyvu
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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Build failed in Jenkins: beam_LoadTests_Python_Combine_Dataflow_Streaming #1054
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/1054/display/redirect>
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Building wheels for collected packages: apache-beam
Building wheel for apache-beam (setup.py): started
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Successfully built apache-beam
Installing collected packages: sortedcontainers, pytz, docopt, crcmod, zstandard, wrapt, websocket-client, urllib3, typing-extensions, threadpoolctl, tenacity, sqlparse, sniffio, six, shapely, scipy, regex, pyyaml, pyparsing, pymysql, PyJWT, pyhamcrest, pycparser, pyasn1, pyarrow, psycopg2-binary, protobuf, portalocker, parameterized, overrides, orjson, objsize, mock, joblib, jmespath, iniconfig, idna, greenlet, google-crc32c, fasteners, fastavro, execnet, exceptiongroup, dill, deprecation, cloudpickle, charset-normalizer, certifi, attrs, sqlalchemy, scikit-learn, rsa, requests, python-dateutil, pytest, pydot, pyasn1-modules, proto-plus, isodate, hypothesis, httplib2, googleapis-common-protos, google-resumable-media, dnspython, cffi, requests_mock, pytest-xdist, pytest-timeout, pymongo, pandas, oauth2client, hdfs, grpcio-status, google-auth, freezegun, docker, cryptography, botocore, azure-core, testcontainers, s3transfer, grpc-google-iam-v1, google-auth-httplib2, google-apitools, google-api-core, azure-storage-blob, apache-beam, msal, google-cloud-core, boto3, msal-extensions, google-cloud-vision, google-cloud-videointelligence, google-cloud-storage, google-cloud-spanner, google-cloud-resource-manager, google-cloud-recommendations-ai, google-cloud-pubsub, google-cloud-language, google-cloud-dlp, google-cloud-datastore, google-cloud-bigtable, google-cloud-bigquery-storage, google-cloud-bigquery, google-cloud-pubsublite, google-cloud-aiplatform, azure-identity
Attempting uninstall: protobuf
Found existing installation: protobuf 4.24.0rc1
Uninstalling protobuf-4.24.0rc1:
Successfully uninstalled protobuf-4.24.0rc1
Successfully installed PyJWT-2.7.0 apache-beam-2.50.0.dev0 attrs-23.1.0 azure-core-1.28.0 azure-identity-1.14.0b2 azure-storage-blob-12.17.0 boto3-1.28.2 botocore-1.31.2 certifi-2023.5.7 cffi-1.15.1 charset-normalizer-3.2.0 cloudpickle-2.2.1 crcmod-1.7 cryptography-41.0.2 deprecation-2.1.0 dill-0.3.1.1 dnspython-2.4.0rc1 docker-6.1.3 docopt-0.6.2 exceptiongroup-1.1.2 execnet-2.0.2 fastavro-1.8.0 fasteners-0.18 freezegun-1.2.2 google-api-core-2.12.0.dev0 google-apitools-0.5.31 google-auth-2.22.0 google-auth-httplib2-0.1.0 google-cloud-aiplatform-1.28.0 google-cloud-bigquery-3.11.3 google-cloud-bigquery-storage-2.22.0 google-cloud-bigtable-2.19.0 google-cloud-core-2.3.3 google-cloud-datastore-2.16.1 google-cloud-dlp-3.12.2 google-cloud-language-2.10.1 google-cloud-pubsub-2.18.0 google-cloud-pubsublite-1.8.3 google-cloud-recommendations-ai-0.10.4 google-cloud-resource-manager-1.10.2 google-cloud-spanner-3.36.0 google-cloud-storage-2.10.0 google-cloud-videointelligence-2.11.3 google-cloud-vision-3.4.4 google-crc32c-1.5.0 google-resumable-media-2.5.0 googleapis-common-protos-1.59.1 greenlet-3.0.0a1 grpc-google-iam-v1-0.12.6 grpcio-status-1.56.0 hdfs-2.7.0 httplib2-0.22.0 hypothesis-6.81.1 idna-3.4 iniconfig-2.0.0 isodate-0.6.1 jmespath-1.0.1 joblib-1.3.1 mock-5.1.0 msal-1.22.0 msal-extensions-1.0.0 oauth2client-4.1.3 objsize-0.6.1 orjson-3.9.2 overrides-6.5.0 pandas-1.5.3 parameterized-0.9.0 portalocker-2.7.0 proto-plus-1.22.3 protobuf-4.23.4 psycopg2-binary-2.9.6 pyarrow-11.0.0 pyasn1-0.5.0 pyasn1-modules-0.3.0 pycparser-2.21 pydot-1.4.2 pyhamcrest-2.0.4 pymongo-4.4.1 pymysql-1.1.0 pyparsing-3.1.0 pytest-7.4.0 pytest-timeout-2.1.0 pytest-xdist-3.3.1 python-dateutil-2.8.2 pytz-2023.3 pyyaml-6.0 regex-2023.6.3 requests-2.31.0 requests_mock-1.11.0 rsa-4.9 s3transfer-0.6.1 scikit-learn-1.3.0 scipy-1.10.1 shapely-1.8.5.post1 six-1.16.0 sniffio-1.3.0 sortedcontainers-2.4.0 sqlalchemy-1.4.49 sqlparse-0.4.4 tenacity-8.2.2 testcontainers-3.7.1 threadpoolctl-3.2.0 typing-extensions-4.7.1 urllib3-1.26.16 websocket-client-1.6.1 wrapt-1.15.0 zstandard-0.21.0
> Task :sdks:python:apache_beam:testing:load_tests:run
INFO:apache_beam.runners.portability.stager:Copying Beam SDK "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/build/apache-beam.tar.gz"> 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 https://cloud.google.com/dataflow/docs/guides/using-custom-containers#prebuild
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230705
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230705" for Docker 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 gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0713125354.1689260873.183999/dataflow_python_sdk.tar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0713125354.1689260873.183999/dataflow_python_sdk.tar in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0713125354.1689260873.183999/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0713125354.1689260873.183999/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20230713150753185105-6765'
createTime: '2023-07-13T15:07:54.113528Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2023-07-13_08_07_53-7907526535115057292'
location: 'us-central1'
name: 'load-tests-python-dataflow-streaming-combine-1-0713125354'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2023-07-13T15:07:54.113528Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-07-13_08_07_53-7907526535115057292]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-07-13_08_07_53-7907526535115057292
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-07-13_08_07_53-7907526535115057292?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-07-13_08_07_53-7907526535115057292 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-13T15:07:58.414Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-f.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-13T15:08:04.434Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-13T15:08:04.535Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-13T15:08:04.592Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-13T15:08:04.649Z: JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-13T15:08:04.699Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write steps
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-13T15:08:04.742Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-13T15:08:04.782Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-13T15:08:04.822Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-13T15:08:04.846Z: JOB_MESSAGE_DETAILED: Fusing consumer Read synthetic/Map(<lambda at iobase.py:911>) into Read synthetic/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-13T15:08:04.869Z: JOB_MESSAGE_DETAILED: Fusing consumer ref_AppliedPTransform_Read-synthetic-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction into Read synthetic/Map(<lambda at iobase.py:911>)
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-13T15:08:04.889Z: 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:2023-07-13T15:08:04.917Z: 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:2023-07-13T15:08:04.939Z: JOB_MESSAGE_DETAILED: Fusing consumer Combine with Top 0/KeyWithVoid into Measure time: Start
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-13T15:08:04.961Z: 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:2023-07-13T15:08:04.983Z: 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:2023-07-13T15:08:05.006Z: 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:2023-07-13T15:08:05.030Z: 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:2023-07-13T15:08:05.052Z: 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:2023-07-13T15:08:05.075Z: JOB_MESSAGE_DETAILED: Fusing consumer Consume 0 into Combine with Top 0/UnKey
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-13T15:08:05.098Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure time: End 0 into Consume 0
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-13T15:08:05.173Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-13T15:08:05.196Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-13T15:08:05.220Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-13T15:08:05.259Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-13T15:08:05.287Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-13T15:08:05.462Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-13T15:08:05.488Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-f...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-13T15:08:05.548Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-07-13_08_07_53-7907526535115057292 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-13T15:08:13.443Z: 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:2023-07-13T15:08:59.070Z: 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:2023-07-13T15:09:31.895Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-13T15:09:43.930Z: JOB_MESSAGE_DETAILED: All ****s have finished the startup processes and began to receive work requests.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-13T15:22:40.157Z: JOB_MESSAGE_WARNING: The ****s of given job are going to be updated.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-13T15:53:01.516Z: 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:2023-07-13T15:54:03.060Z: 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:2023-07-13T16:22:05.702Z: 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:2023-07-13T16:42:07.867Z: 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:2023-07-13T16:52:29.387Z: 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:2023-07-13T17:09:18.404Z: 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:2023-07-13T17:22:10.005Z: 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:2023-07-13T17:31:11.732Z: 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:2023-07-13T17:50:14.101Z: 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:2023-07-13T18:00:15.805Z: 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:2023-07-13T18:16:18.811Z: 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:2023-07-13T18:39:21.355Z: 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.
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INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-13T19:01:24.882Z: 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.
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INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-13T19:28:24.035Z: 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:2023-07-13T19:48:46.958Z: 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 2023-07-13_08_07_53-7907526535115057292 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-13T20:00:50.522Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2023-07-13_08_07_53-7907526535115057292.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-13T20:00:50.564Z: JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-13T20:00:50.627Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-13T20:00:50.651Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-13T20:00:50.678Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-13T20:00:50.702Z: JOB_MESSAGE_BASIC: Stopping **** pool...
Traceback (most recent call last):
File "/usr/lib/python3.8/runpy.py", line 194, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/usr/lib/python3.8/runpy.py", line 87, 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 748, in wait_until_finish
assert duration or terminated, (
AssertionError: Job did not reach to a terminal state after waiting indefinitely. Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2023-07-13_08_07_53-7907526535115057292?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: 63
* 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 15s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date
Publishing build scan...
https://ge.apache.org/s/yqu3wnvlu4wrq
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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Build failed in Jenkins: beam_LoadTests_Python_Combine_Dataflow_Streaming #1053
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/1053/display/redirect>
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Attempting uninstall: protobuf
Found existing installation: protobuf 4.24.0rc1
Uninstalling protobuf-4.24.0rc1:
Successfully uninstalled protobuf-4.24.0rc1
Successfully installed PyJWT-2.7.0 apache-beam-2.50.0.dev0 attrs-23.1.0 azure-core-1.28.0 azure-identity-1.14.0b2 azure-storage-blob-12.17.0 boto3-1.28.2 botocore-1.31.2 certifi-2023.5.7 cffi-1.15.1 charset-normalizer-3.2.0 cloudpickle-2.2.1 crcmod-1.7 cryptography-41.0.2 deprecation-2.1.0 dill-0.3.1.1 dnspython-2.4.0rc1 docker-6.1.3 docopt-0.6.2 exceptiongroup-1.1.2 execnet-2.0.2 fastavro-1.8.0 fasteners-0.18 freezegun-1.2.2 google-api-core-2.12.0.dev0 google-apitools-0.5.31 google-auth-2.22.0 google-auth-httplib2-0.1.0 google-cloud-aiplatform-1.28.0 google-cloud-bigquery-3.11.3 google-cloud-bigquery-storage-2.22.0 google-cloud-bigtable-2.19.0 google-cloud-core-2.3.3 google-cloud-datastore-2.16.1 google-cloud-dlp-3.12.2 google-cloud-language-2.10.1 google-cloud-pubsub-2.17.1 google-cloud-pubsublite-1.8.3 google-cloud-recommendations-ai-0.10.4 google-cloud-resource-manager-1.10.2 google-cloud-spanner-3.36.0 google-cloud-storage-2.10.0 google-cloud-videointelligence-2.11.3 google-cloud-vision-3.4.4 google-crc32c-1.5.0 google-resumable-media-2.5.0 googleapis-common-protos-1.59.1 greenlet-3.0.0a1 grpc-google-iam-v1-0.12.6 grpcio-status-1.56.0 hdfs-2.7.0 httplib2-0.22.0 hypothesis-6.81.1 idna-3.4 iniconfig-2.0.0 isodate-0.6.1 jmespath-1.0.1 joblib-1.3.1 mock-5.1.0 msal-1.22.0 msal-extensions-1.0.0 oauth2client-4.1.3 objsize-0.6.1 orjson-3.9.2 overrides-6.5.0 pandas-1.5.3 parameterized-0.9.0 portalocker-2.7.0 proto-plus-1.22.3 protobuf-4.23.4 psycopg2-binary-2.9.6 pyarrow-11.0.0 pyasn1-0.5.0 pyasn1-modules-0.3.0 pycparser-2.21 pydot-1.4.2 pyhamcrest-2.0.4 pymongo-4.4.0 pymysql-1.1.0 pyparsing-3.1.0 pytest-7.4.0 pytest-timeout-2.1.0 pytest-xdist-3.3.1 python-dateutil-2.8.2 pytz-2023.3 pyyaml-6.0 regex-2023.6.3 requests-2.31.0 requests_mock-1.11.0 rsa-4.9 s3transfer-0.6.1 scikit-learn-1.3.0 scipy-1.10.1 shapely-1.8.5.post1 six-1.16.0 sniffio-1.3.0 sortedcontainers-2.4.0 sqlalchemy-1.4.49 sqlparse-0.4.4 tenacity-8.2.2 testcontainers-3.7.1 threadpoolctl-3.1.0 typing-extensions-4.7.1 urllib3-1.26.16 websocket-client-1.6.1 wrapt-1.15.0 zstandard-0.21.0
> Task :sdks:python:apache_beam:testing:load_tests:run
INFO:apache_beam.runners.portability.stager:Copying Beam SDK "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/build/apache-beam.tar.gz"> 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 https://cloud.google.com/dataflow/docs/guides/using-custom-containers#prebuild
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230705
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230705" for Docker 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 gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0712125344.1689174472.169881/dataflow_python_sdk.tar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0712125344.1689174472.169881/dataflow_python_sdk.tar in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0712125344.1689174472.169881/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0712125344.1689174472.169881/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20230712150752170922-2010'
createTime: '2023-07-12T15:07:53.353062Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2023-07-12_08_07_52-9835935123570149441'
location: 'us-central1'
name: 'load-tests-python-dataflow-streaming-combine-1-0712125344'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2023-07-12T15:07:53.353062Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-07-12_08_07_52-9835935123570149441]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-07-12_08_07_52-9835935123570149441
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-07-12_08_07_52-9835935123570149441?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-07-12_08_07_52-9835935123570149441 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-12T15:08:02.835Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-a.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-12T15:08:09.198Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-12T15:08:09.328Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-12T15:08:09.380Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-12T15:08:09.442Z: JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-12T15:08:09.468Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write steps
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-12T15:08:09.523Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-12T15:08:09.581Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-12T15:08:09.611Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-12T15:08:09.635Z: JOB_MESSAGE_DETAILED: Fusing consumer Read synthetic/Map(<lambda at iobase.py:908>) into Read synthetic/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-12T15:08:09.658Z: 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:2023-07-12T15:08:09.684Z: 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:2023-07-12T15:08:09.709Z: 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:2023-07-12T15:08:09.734Z: JOB_MESSAGE_DETAILED: Fusing consumer Combine with Top 0/KeyWithVoid into Measure time: Start
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-12T15:08:09.761Z: 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:2023-07-12T15:08:09.787Z: 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:2023-07-12T15:08:09.817Z: 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:2023-07-12T15:08:09.840Z: 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:2023-07-12T15:08:09.859Z: 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:2023-07-12T15:08:09.883Z: JOB_MESSAGE_DETAILED: Fusing consumer Consume 0 into Combine with Top 0/UnKey
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-12T15:08:09.906Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure time: End 0 into Consume 0
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-12T15:08:09.981Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-12T15:08:10.007Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-12T15:08:10.034Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-12T15:08:10.061Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-12T15:08:10.088Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-12T15:08:10.247Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-12T15:08:10.276Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-12T15:08:10.300Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-a...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-12T15:08:10.493Z: JOB_MESSAGE_WARNING: The ****s of given job are going to be updated.
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-07-12_08_07_52-9835935123570149441 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-12T15:08:41.928Z: 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:2023-07-12T15:08:50.273Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 2 so that the pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-12T15:08:50.301Z: JOB_MESSAGE_DETAILED: Autoscaling: Resized **** pool to 2, though goal was 5. This could be a quota issue.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-12T15:09:00.115Z: 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:2023-07-12T15:09:25.667Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-12T15:09:37.569Z: JOB_MESSAGE_DETAILED: All ****s have finished the startup processes and began to receive work requests.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-12T15:38:01.902Z: 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:2023-07-12T15:38:10.492Z: JOB_MESSAGE_WARNING: The ****s of given job are going to be updated.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-12T15:39:06.654Z: 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:2023-07-12T15:40:09.399Z: 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:2023-07-12T16:11:09.812Z: 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:2023-07-12T16:12:11.770Z: 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:2023-07-12T16:41:12.829Z: 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:2023-07-12T16:42:14.564Z: 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:2023-07-12T17:04:16.398Z: 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:2023-07-12T17:10:18.186Z: 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:2023-07-12T17:31:21.349Z: 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:2023-07-12T17:39:27.566Z: 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:2023-07-12T17:58:23.744Z: 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:2023-07-12T18:08:25.722Z: 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:2023-07-12T18:26:27.710Z: 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:2023-07-12T18:37:24.974Z: 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:2023-07-12T18:53:36.898Z: 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:2023-07-12T19:06:27.763Z: 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:2023-07-12T19:21:28.721Z: 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:2023-07-12T19:34:30.752Z: 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:2023-07-12T19:48:32.943Z: 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:2023-07-12T20:02:45.006Z: 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 2023-07-12_08_07_52-9835935123570149441 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-12T20:03:27.764Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2023-07-12_08_07_52-9835935123570149441.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-12T20:03:27.793Z: JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-12T20:03:27.873Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-12T20:03:27.903Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-12T20:03:27.933Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-12T20:03:27.955Z: JOB_MESSAGE_BASIC: Stopping **** pool...
Traceback (most recent call last):
File "/usr/lib/python3.8/runpy.py", line 194, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/usr/lib/python3.8/runpy.py", line 87, 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 748, in wait_until_finish
assert duration or terminated, (
AssertionError: Job did not reach to a terminal state after waiting indefinitely. Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2023-07-12_08_07_52-9835935123570149441?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: 63
* 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 57m 58s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date
Publishing build scan...
https://ge.apache.org/s/y2wznf4mnrr7m
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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Build failed in Jenkins: beam_LoadTests_Python_Combine_Dataflow_Streaming #1052
Posted by Apache Jenkins Server <je...@builds.apache.org>.
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Changes:
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Building wheels for collected packages: apache-beam
Building wheel for apache-beam (setup.py): started
Building wheel for apache-beam (setup.py): finished with status 'done'
Created wheel for apache-beam: filename=apache_beam-2.50.0.dev0-py3-none-any.whl size=3241974 sha256=61a163ff9df5133017b0eff80c37ad872e043edb16e342732d1b7f79c27b4d72
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Successfully built apache-beam
Installing collected packages: sortedcontainers, pytz, docopt, crcmod, zstandard, wrapt, websocket-client, urllib3, typing-extensions, threadpoolctl, tenacity, sqlparse, sniffio, six, shapely, scipy, regex, pyyaml, pyparsing, pymysql, PyJWT, pyhamcrest, pycparser, pyasn1, pyarrow, psycopg2-binary, proto-plus, portalocker, parameterized, overrides, orjson, objsize, mock, joblib, jmespath, iniconfig, idna, greenlet, googleapis-common-protos, google-crc32c, fasteners, fastavro, execnet, exceptiongroup, dill, deprecation, cloudpickle, charset-normalizer, certifi, attrs, sqlalchemy, scikit-learn, rsa, requests, python-dateutil, pytest, pydot, pyasn1-modules, isodate, hypothesis, httplib2, grpcio-status, google-resumable-media, dnspython, cffi, requests_mock, pytest-xdist, pytest-timeout, pymongo, pandas, oauth2client, hdfs, grpc-google-iam-v1, google-auth, freezegun, docker, cryptography, botocore, azure-core, testcontainers, s3transfer, google-auth-httplib2, google-apitools, google-api-core, azure-storage-blob, apache-beam, msal, google-cloud-core, boto3, msal-extensions, google-cloud-vision, google-cloud-videointelligence, google-cloud-storage, google-cloud-spanner, google-cloud-resource-manager, google-cloud-recommendations-ai, google-cloud-pubsub, google-cloud-language, google-cloud-dlp, google-cloud-datastore, google-cloud-bigtable, google-cloud-bigquery-storage, google-cloud-bigquery, google-cloud-pubsublite, google-cloud-aiplatform, azure-identity
Successfully installed PyJWT-2.7.0 apache-beam-2.50.0.dev0 attrs-23.1.0 azure-core-1.28.0 azure-identity-1.14.0b1 azure-storage-blob-12.17.0b1 boto3-1.28.2 botocore-1.31.2 certifi-2023.5.7 cffi-1.15.1 charset-normalizer-3.2.0 cloudpickle-2.2.1 crcmod-1.7 cryptography-41.0.2 deprecation-2.1.0 dill-0.3.1.1 dnspython-2.4.0rc1 docker-6.1.3 docopt-0.6.2 exceptiongroup-1.1.2 execnet-2.0.2 fastavro-1.8.0 fasteners-0.18 freezegun-1.2.2 google-api-core-2.12.0.dev0 google-apitools-0.5.31 google-auth-2.22.0rc1 google-auth-httplib2-0.1.0 google-cloud-aiplatform-1.28.0 google-cloud-bigquery-3.11.3 google-cloud-bigquery-storage-2.22.0 google-cloud-bigtable-2.19.0 google-cloud-core-2.3.3 google-cloud-datastore-2.16.1 google-cloud-dlp-3.12.2 google-cloud-language-2.10.1 google-cloud-pubsub-2.17.1 google-cloud-pubsublite-1.8.3 google-cloud-recommendations-ai-0.10.4 google-cloud-resource-manager-1.10.2 google-cloud-spanner-3.36.0 google-cloud-storage-2.10.0 google-cloud-videointelligence-2.11.3 google-cloud-vision-3.4.4 google-crc32c-1.5.0 google-resumable-media-2.5.0 googleapis-common-protos-1.59.1 greenlet-3.0.0a1 grpc-google-iam-v1-0.12.6 grpcio-status-1.56.0 hdfs-2.7.0 httplib2-0.22.0 hypothesis-6.81.1 idna-3.4 iniconfig-2.0.0 isodate-0.6.1 jmespath-1.0.1 joblib-1.3.1 mock-5.1.0 msal-1.22.0 msal-extensions-1.0.0 oauth2client-4.1.3 objsize-0.6.1 orjson-3.9.2 overrides-6.5.0 pandas-1.5.3 parameterized-0.9.0 portalocker-2.7.0 proto-plus-1.22.3 psycopg2-binary-2.9.6 pyarrow-11.0.0 pyasn1-0.5.0 pyasn1-modules-0.3.0 pycparser-2.21 pydot-1.4.2 pyhamcrest-2.0.4 pymongo-4.4.0 pymysql-1.1.0 pyparsing-3.1.0 pytest-7.4.0 pytest-timeout-2.1.0 pytest-xdist-3.3.1 python-dateutil-2.8.2 pytz-2023.3 pyyaml-6.0 regex-2023.6.3 requests-2.31.0 requests_mock-1.11.0 rsa-4.9 s3transfer-0.6.1 scikit-learn-1.3.0 scipy-1.10.1 shapely-1.8.5.post1 six-1.16.0 sniffio-1.3.0 sortedcontainers-2.4.0 sqlalchemy-1.4.49 sqlparse-0.4.4 tenacity-8.2.2 testcontainers-3.7.1 threadpoolctl-3.1.0 typing-extensions-4.7.1 urllib3-1.26.16 websocket-client-1.6.1 wrapt-1.15.0 zstandard-0.21.0
> Task :sdks:python:apache_beam:testing:load_tests:run
INFO:apache_beam.runners.portability.stager:Copying Beam SDK "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/build/apache-beam.tar.gz"> 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 https://cloud.google.com/dataflow/docs/guides/using-custom-containers#prebuild
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230705
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230705" for Docker 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 gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0711142553.1689088088.325852/dataflow_python_sdk.tar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0711142553.1689088088.325852/dataflow_python_sdk.tar in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0711142553.1689088088.325852/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0711142553.1689088088.325852/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20230711150808326848-1483'
createTime: '2023-07-11T15:08:09.364785Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2023-07-11_08_08_08-14456384985596674030'
location: 'us-central1'
name: 'load-tests-python-dataflow-streaming-combine-1-0711142553'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2023-07-11T15:08:09.364785Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-07-11_08_08_08-14456384985596674030]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-07-11_08_08_08-14456384985596674030
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-07-11_08_08_08-14456384985596674030?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-07-11_08_08_08-14456384985596674030 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-11T15:08:13.314Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-11T15:08:14.487Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-11T15:08:14.527Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-11T15:08:14.606Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-11T15:08:14.662Z: JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-11T15:08:14.682Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write steps
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-11T15:08:14.735Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-11T15:08:14.802Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-11T15:08:14.846Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-11T15:08:14.889Z: JOB_MESSAGE_DETAILED: Fusing consumer Read synthetic/Map(<lambda at iobase.py:908>) into Read synthetic/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-11T15:08:14.915Z: 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:2023-07-11T15:08:14.952Z: 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:2023-07-11T15:08:14.985Z: 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:2023-07-11T15:08:15.021Z: JOB_MESSAGE_DETAILED: Fusing consumer Combine with Top 0/KeyWithVoid into Measure time: Start
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-11T15:08:15.055Z: 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:2023-07-11T15:08:15.079Z: 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:2023-07-11T15:08:15.104Z: 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:2023-07-11T15:08:15.143Z: 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:2023-07-11T15:08:15.173Z: 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:2023-07-11T15:08:15.207Z: JOB_MESSAGE_DETAILED: Fusing consumer Consume 0 into Combine with Top 0/UnKey
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-11T15:08:15.241Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure time: End 0 into Consume 0
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-11T15:08:15.338Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-11T15:08:15.361Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-11T15:08:15.388Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-11T15:08:15.415Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-11T15:08:15.516Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-11T15:08:15.703Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-11T15:08:15.738Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-11T15:08:15.776Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-07-11_08_08_08-14456384985596674030 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-11T15:08:47.389Z: 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:2023-07-11T15:09:00.892Z: 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:2023-07-11T15:09:00.923Z: 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:2023-07-11T15:09:10.788Z: 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:2023-07-11T15:09:38.602Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-11T15:09:50.403Z: JOB_MESSAGE_DETAILED: All ****s have finished the startup processes and began to receive work requests.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-11T15:19:15.227Z: JOB_MESSAGE_WARNING: The ****s of given job are going to be updated.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-11T15:49:12.438Z: 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:2023-07-11T15:50:14.267Z: 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:2023-07-11T16:12:16.079Z: 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:2023-07-11T16:13:17.107Z: 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:2023-07-11T16:14:18.550Z: 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:2023-07-11T16:16:32.429Z: 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:2023-07-11T16:36:31.803Z: 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:2023-07-11T16:42:22.725Z: 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:2023-07-11T16:46:24.857Z: 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:2023-07-11T17:04:47.385Z: 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:2023-07-11T17:08:30.104Z: 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:2023-07-11T17:14:40.096Z: 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:2023-07-11T17:32:52.210Z: 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:2023-07-11T17:35:36.654Z: 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:2023-07-11T17:37:47.886Z: 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:2023-07-11T17:38:07.007Z: JOB_MESSAGE_ERROR: generic::cancelled: Data channel closed, unable to receive additional data from SDK sdk-0-1
with MessageCode:
(15303143e4927307): SDK disconnect.
passed through:
==>
dist_proc/dax/workflow/****/fnapi_data_service.cc:366
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-11T17:54:36.469Z: 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:2023-07-11T17:56:38.017Z: 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:2023-07-11T18:06:40.417Z: 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:2023-07-11T18:16:43.209Z: 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:2023-07-11T18:17:40.859Z: 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:2023-07-11T18:43:54.001Z: 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:2023-07-11T18:46:45.858Z: 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:2023-07-11T18:47:46.925Z: 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:2023-07-11T18:57:48.965Z: 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:2023-07-11T19:12:57.357Z: 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:2023-07-11T19:13:49.398Z: 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:2023-07-11T19:16:53.890Z: 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:2023-07-11T19:26:52.210Z: 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:2023-07-11T19:37:53.719Z: 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:2023-07-11T19:38:57.786Z: 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:2023-07-11T19:40:55.780Z: 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:2023-07-11T19:42:56.959Z: 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:2023-07-11T19:55:58.788Z: 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:2023-07-11T20:01:08.342Z: 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:2023-07-11T20:05:53.497Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2023-07-11_08_08_08-14456384985596674030.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-11T20:05:53.528Z: JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-11T20:05:53.598Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-11T20:05:53.626Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-11T20:05:53.649Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-11T20:05:53.672Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-07-11_08_08_08-14456384985596674030 is in state JOB_STATE_CANCELLING
Traceback (most recent call last):
File "/usr/lib/python3.8/runpy.py", line 194, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/usr/lib/python3.8/runpy.py", line 87, 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 749, in wait_until_finish
assert duration or terminated, (
AssertionError: Job did not reach to a terminal state after waiting indefinitely. Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2023-07-11_08_08_08-14456384985596674030?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: 63
* 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 59m 37s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date
Publishing build scan...
https://ge.apache.org/s/je3kly7ts6d3q
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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Build failed in Jenkins: beam_LoadTests_Python_Combine_Dataflow_Streaming #1051
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/1051/display/redirect>
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Collecting deprecation (from testcontainers[mysql]<4.0.0,>=3.0.3->apache-beam==2.50.0.dev0)
Using cached deprecation-2.1.0-py2.py3-none-any.whl (11 kB)
Collecting pymysql (from testcontainers[mysql]<4.0.0,>=3.0.3->apache-beam==2.50.0.dev0)
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Collecting sniffio<2.0,>=1.1 (from dnspython<3.0.0,>=1.16.0->pymongo<5.0.0,>=3.8.0->apache-beam==2.50.0.dev0)
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Collecting websocket-client>=0.32.0 (from docker>=4.0.0->testcontainers[mysql]<4.0.0,>=3.0.3->apache-beam==2.50.0.dev0)
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Collecting googleapis-common-protos<2.0.dev0,>=1.56.2 (from google-api-core[grpc]!=2.0.*,!=2.1.*,!=2.2.*,!=2.3.*,!=2.4.*,!=2.5.*,!=2.6.*,!=2.7.*,<3.0.0dev,>=1.32.0->google-cloud-aiplatform<2.0,>=1.26.0->apache-beam==2.50.0.dev0)
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Building wheels for collected packages: apache-beam
Building wheel for apache-beam (setup.py): started
Building wheel for apache-beam (setup.py): finished with status 'done'
Created wheel for apache-beam: filename=apache_beam-2.50.0.dev0-py3-none-any.whl size=3255276 sha256=4c9ed22cef2c3dcc9e93ee482535e14067d5821f36a279ac3a850c936c633c39
Stored in directory: /home/jenkins/.cache/pip/wheels/67/34/b8/5adce605a0a3f10491be234729fa4854c6a127bc01194f13fc
Successfully built apache-beam
Installing collected packages: sortedcontainers, pytz, docopt, crcmod, zstandard, wrapt, websocket-client, urllib3, typing-extensions, threadpoolctl, tenacity, sqlparse, sniffio, six, shapely, scipy, regex, pyyaml, pyparsing, pymysql, PyJWT, pyhamcrest, pycparser, pyasn1, pyarrow, psycopg2-binary, proto-plus, portalocker, parameterized, overrides, orjson, objsize, mock, joblib, jmespath, iniconfig, idna, greenlet, googleapis-common-protos, google-crc32c, fasteners, fastavro, execnet, exceptiongroup, dill, deprecation, cloudpickle, charset-normalizer, certifi, attrs, sqlalchemy, scikit-learn, rsa, requests, python-dateutil, pytest, pydot, pyasn1-modules, isodate, hypothesis, httplib2, grpcio-status, google-resumable-media, dnspython, cffi, requests_mock, pytest-xdist, pytest-timeout, pymongo, pandas, oauth2client, hdfs, grpc-google-iam-v1, google-auth, freezegun, docker, cryptography, botocore, azure-core, testcontainers, s3transfer, google-auth-httplib2, google-apitools, google-api-core, azure-storage-blob, apache-beam, msal, google-cloud-core, boto3, msal-extensions, google-cloud-vision, google-cloud-videointelligence, google-cloud-storage, google-cloud-spanner, google-cloud-resource-manager, google-cloud-recommendations-ai, google-cloud-pubsub, google-cloud-language, google-cloud-dlp, google-cloud-datastore, google-cloud-bigtable, google-cloud-bigquery-storage, google-cloud-bigquery, google-cloud-pubsublite, google-cloud-aiplatform, azure-identity
Successfully installed PyJWT-2.7.0 apache-beam-2.50.0.dev0 attrs-23.1.0 azure-core-1.27.1 azure-identity-1.14.0b1 azure-storage-blob-12.17.0b1 boto3-1.28.1 botocore-1.31.1 certifi-2023.5.7 cffi-1.15.1 charset-normalizer-3.2.0 cloudpickle-2.2.1 crcmod-1.7 cryptography-41.0.1 deprecation-2.1.0 dill-0.3.1.1 dnspython-2.4.0rc1 docker-6.1.3 docopt-0.6.2 exceptiongroup-1.1.2 execnet-2.0.2 fastavro-1.8.0 fasteners-0.18 freezegun-1.2.2 google-api-core-2.12.0.dev0 google-apitools-0.5.31 google-auth-2.22.0rc1 google-auth-httplib2-0.1.0 google-cloud-aiplatform-1.27.1 google-cloud-bigquery-3.11.3 google-cloud-bigquery-storage-2.22.0 google-cloud-bigtable-2.19.0 google-cloud-core-2.3.3 google-cloud-datastore-2.16.1 google-cloud-dlp-3.12.2 google-cloud-language-2.10.1 google-cloud-pubsub-2.17.1 google-cloud-pubsublite-1.8.3 google-cloud-recommendations-ai-0.10.4 google-cloud-resource-manager-1.10.2 google-cloud-spanner-3.36.0 google-cloud-storage-2.10.0 google-cloud-videointelligence-2.11.3 google-cloud-vision-3.4.4 google-crc32c-1.5.0 google-resumable-media-2.5.0 googleapis-common-protos-1.59.1 greenlet-3.0.0a1 grpc-google-iam-v1-0.12.6 grpcio-status-1.56.0 hdfs-2.7.0 httplib2-0.22.0 hypothesis-6.80.1 idna-3.4 iniconfig-2.0.0 isodate-0.6.1 jmespath-1.0.1 joblib-1.3.1 mock-5.0.2 msal-1.22.0 msal-extensions-1.0.0 oauth2client-4.1.3 objsize-0.6.1 orjson-3.9.2 overrides-6.5.0 pandas-1.5.3 parameterized-0.9.0 portalocker-2.7.0 proto-plus-1.22.3 psycopg2-binary-2.9.6 pyarrow-11.0.0 pyasn1-0.5.0 pyasn1-modules-0.3.0 pycparser-2.21 pydot-1.4.2 pyhamcrest-2.0.4 pymongo-4.4.0 pymysql-1.1.0 pyparsing-3.1.0 pytest-7.4.0 pytest-timeout-2.1.0 pytest-xdist-3.3.1 python-dateutil-2.8.2 pytz-2023.3 pyyaml-6.0 regex-2023.6.3 requests-2.31.0 requests_mock-1.11.0 rsa-4.9 s3transfer-0.6.1 scikit-learn-1.3.0 scipy-1.10.1 shapely-1.8.5.post1 six-1.16.0 sniffio-1.3.0 sortedcontainers-2.4.0 sqlalchemy-1.4.49 sqlparse-0.4.4 tenacity-8.2.2 testcontainers-3.7.1 threadpoolctl-3.1.0 typing-extensions-4.7.1 urllib3-1.26.16 websocket-client-1.6.1 wrapt-1.15.0 zstandard-0.21.0
> Task :sdks:python:apache_beam:testing:load_tests:run
INFO:apache_beam.runners.portability.stager:Copying Beam SDK "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/build/apache-beam.tar.gz"> 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 https://cloud.google.com/dataflow/docs/guides/using-custom-containers#prebuild
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230705
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230705" for Docker 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 gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0710125349.1689001670.679928/dataflow_python_sdk.tar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0710125349.1689001670.679928/dataflow_python_sdk.tar in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0710125349.1689001670.679928/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0710125349.1689001670.679928/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20230710150750680890-4104'
createTime: '2023-07-10T15:07:51.895286Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2023-07-10_08_07_51-8497262907204249813'
location: 'us-central1'
name: 'load-tests-python-dataflow-streaming-combine-1-0710125349'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2023-07-10T15:07:51.895286Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-07-10_08_07_51-8497262907204249813]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-07-10_08_07_51-8497262907204249813
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-07-10_08_07_51-8497262907204249813?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-07-10_08_07_51-8497262907204249813 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-10T15:07:56.996Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-f.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-10T15:07:58.313Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-10T15:07:58.343Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-10T15:07:58.425Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-10T15:07:58.498Z: JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-10T15:07:58.535Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write steps
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-10T15:07:58.610Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-10T15:07:58.677Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-10T15:07:58.724Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-10T15:07:58.767Z: JOB_MESSAGE_DETAILED: Fusing consumer Read synthetic/Map(<lambda at iobase.py:908>) into Read synthetic/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-10T15:07:58.799Z: 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:2023-07-10T15:07:58.834Z: 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:2023-07-10T15:07:58.867Z: 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:2023-07-10T15:07:58.900Z: JOB_MESSAGE_DETAILED: Fusing consumer Combine with Top 0/KeyWithVoid into Measure time: Start
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-10T15:07:58.928Z: 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:2023-07-10T15:07:58.950Z: 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:2023-07-10T15:07:58.983Z: 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:2023-07-10T15:07:59.005Z: 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:2023-07-10T15:07:59.027Z: 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:2023-07-10T15:07:59.052Z: JOB_MESSAGE_DETAILED: Fusing consumer Consume 0 into Combine with Top 0/UnKey
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-10T15:07:59.084Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure time: End 0 into Consume 0
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-10T15:07:59.205Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-10T15:07:59.238Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-10T15:07:59.270Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-10T15:07:59.319Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-10T15:07:59.357Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-10T15:07:59.553Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-10T15:07:59.595Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-f...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-10T15:07:59.663Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-07-10_08_07_51-8497262907204249813 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-10T15:08:07.503Z: 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:2023-07-10T15:08:51.705Z: 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:2023-07-10T15:08:51.739Z: 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:2023-07-10T15:09:01.632Z: 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:2023-07-10T15:09:20.277Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-10T15:09:32.028Z: JOB_MESSAGE_DETAILED: All ****s have finished the startup processes and began to receive work requests.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-10T15:36:01.751Z: JOB_MESSAGE_WARNING: The ****s of given job are going to be updated.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-10T15:38:22.852Z: 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:2023-07-10T15:39:55.780Z: 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:2023-07-10T16:01:27.373Z: 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:2023-07-10T16:10:30.115Z: 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:2023-07-10T16:39:29.247Z: 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:2023-07-10T16:51:00.703Z: 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:2023-07-10T17:07:31.436Z: 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:2023-07-10T17:19:52.943Z: 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:2023-07-10T17:31:34.887Z: 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:2023-07-10T17:46:36.420Z: 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:2023-07-10T17:59:38.380Z: 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:2023-07-10T18:08:37.071Z: 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:2023-07-10T18:28:39.015Z: 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:2023-07-10T18:38:42.009Z: 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:2023-07-10T18:56:44.297Z: 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:2023-07-10T19:06:42.269Z: 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:2023-07-10T19:17:45.659Z: 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:2023-07-10T19:28:47.729Z: 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:2023-07-10T19:44:59.454Z: 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:2023-07-10T19:50:51.772Z: 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 2023-07-10_08_07_51-8497262907204249813 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-10T20:00:57.401Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2023-07-10_08_07_51-8497262907204249813.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-10T20:00:57.436Z: JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-10T20:00:57.511Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-10T20:00:57.538Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-10T20:00:57.567Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-10T20:00:57.591Z: JOB_MESSAGE_BASIC: Stopping **** pool...
Traceback (most recent call last):
File "/usr/lib/python3.8/runpy.py", line 194, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/usr/lib/python3.8/runpy.py", line 87, 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 1556, in wait_until_finish
assert duration or terminated, (
AssertionError: Job did not reach to a terminal state after waiting indefinitely. Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2023-07-10_08_07_51-8497262907204249813?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: 63
* 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 20s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date
Publishing build scan...
https://ge.apache.org/s/mmcrzw27nt3tk
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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Build failed in Jenkins: beam_LoadTests_Python_Combine_Dataflow_Streaming #1050
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/1050/display/redirect>
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Installing collected packages: sortedcontainers, pytz, docopt, crcmod, zstandard, wrapt, websocket-client, urllib3, typing-extensions, threadpoolctl, tenacity, sqlparse, sniffio, six, shapely, scipy, regex, pyyaml, pyparsing, pymysql, PyJWT, pyhamcrest, pycparser, pyasn1, pyarrow, psycopg2-binary, proto-plus, portalocker, parameterized, overrides, orjson, objsize, mock, joblib, jmespath, iniconfig, idna, greenlet, googleapis-common-protos, google-crc32c, fasteners, fastavro, execnet, exceptiongroup, dill, deprecation, cloudpickle, charset-normalizer, certifi, attrs, sqlalchemy, scikit-learn, rsa, requests, python-dateutil, pytest, pydot, pyasn1-modules, isodate, hypothesis, httplib2, grpcio-status, google-resumable-media, dnspython, cffi, requests_mock, pytest-xdist, pytest-timeout, pymongo, pandas, oauth2client, hdfs, grpc-google-iam-v1, google-auth, freezegun, docker, cryptography, botocore, azure-core, testcontainers, s3transfer, google-auth-httplib2, google-apitools, google-api-core, azure-storage-blob, apache-beam, msal, google-cloud-core, boto3, msal-extensions, google-cloud-vision, google-cloud-videointelligence, google-cloud-storage, google-cloud-spanner, google-cloud-resource-manager, google-cloud-recommendations-ai, google-cloud-pubsub, google-cloud-language, google-cloud-dlp, google-cloud-datastore, google-cloud-bigtable, google-cloud-bigquery-storage, google-cloud-bigquery, google-cloud-pubsublite, google-cloud-aiplatform, azure-identity
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> Task :sdks:python:apache_beam:testing:load_tests:run
INFO:apache_beam.runners.portability.stager:Copying Beam SDK "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/build/apache-beam.tar.gz"> 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 https://cloud.google.com/dataflow/docs/guides/using-custom-containers#prebuild
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230705
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230705" for Docker 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 gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0709125351.1688915265.218598/dataflow_python_sdk.tar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0709125351.1688915265.218598/dataflow_python_sdk.tar in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0709125351.1688915265.218598/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0709125351.1688915265.218598/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
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location: 'us-central1'
name: 'load-tests-python-dataflow-streaming-combine-1-0709125351'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2023-07-09T15:07:46.754131Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-07-09_08_07_45-16826343675755281433]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-07-09_08_07_45-16826343675755281433
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-07-09_08_07_45-16826343675755281433?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-07-09_08_07_45-16826343675755281433 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-09T15:07:51.315Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-09T15:07:52.899Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-09T15:07:52.931Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-09T15:07:52.998Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-09T15:07:53.067Z: JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-09T15:07:53.098Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write steps
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-09T15:07:53.153Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-09T15:07:53.214Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-09T15:07:53.254Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-09T15:07:53.282Z: JOB_MESSAGE_DETAILED: Fusing consumer Read synthetic/Map(<lambda at iobase.py:908>) into Read synthetic/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-09T15:07:53.314Z: 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:2023-07-09T15:07:53.336Z: 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:2023-07-09T15:07:53.359Z: 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:2023-07-09T15:07:53.390Z: JOB_MESSAGE_DETAILED: Fusing consumer Combine with Top 0/KeyWithVoid into Measure time: Start
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-09T15:07:53.425Z: 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:2023-07-09T15:07:53.457Z: 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:2023-07-09T15:07:53.484Z: 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:2023-07-09T15:07:53.510Z: 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:2023-07-09T15:07:53.534Z: 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:2023-07-09T15:07:53.556Z: JOB_MESSAGE_DETAILED: Fusing consumer Consume 0 into Combine with Top 0/UnKey
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-09T15:07:53.581Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure time: End 0 into Consume 0
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-09T15:07:53.678Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-09T15:07:53.707Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-09T15:07:53.733Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-09T15:07:53.766Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-09T15:07:53.798Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-09T15:07:53.963Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-09T15:07:53.999Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-09T15:07:54.030Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-07-09_08_07_45-16826343675755281433 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-09T15:08:09.496Z: 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:2023-07-09T15:08:34.855Z: 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:2023-07-09T15:08:34.878Z: 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:2023-07-09T15:08:44.829Z: 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:2023-07-09T15:09:13.147Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-09T15:09:25.085Z: JOB_MESSAGE_DETAILED: All ****s have finished the startup processes and began to receive work requests.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-09T15:12:39.698Z: JOB_MESSAGE_WARNING: The ****s of given job are going to be updated.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-09T15:41:49.346Z: 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:2023-07-09T15:43:51.653Z: 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:2023-07-09T16:05:49.847Z: 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:2023-07-09T16:12:01.259Z: 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:2023-07-09T16:31:53.424Z: 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:2023-07-09T16:40:54.780Z: 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:2023-07-09T16:52:56.657Z: 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:2023-07-09T17:09:08.260Z: 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:2023-07-09T17:22:07.167Z: 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:2023-07-09T17:30:59.073Z: 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:2023-07-09T17:44:00.595Z: 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:2023-07-09T17:53:12.166Z: 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:2023-07-09T18:06:04.656Z: 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:2023-07-09T18:15:07.418Z: 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:2023-07-09T18:27:06.755Z: 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:2023-07-09T18:42:08.938Z: 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:2023-07-09T18:55:10.569Z: 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:2023-07-09T19:10:12.540Z: 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:2023-07-09T19:17:24.214Z: 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:2023-07-09T19:37:16.303Z: 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:2023-07-09T19:47:28.537Z: 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 2023-07-09_08_07_45-16826343675755281433 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-09T20:00:48.823Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2023-07-09_08_07_45-16826343675755281433.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-09T20:00:48.858Z: JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-09T20:00:48.913Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-09T20:00:48.931Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-09T20:00:48.965Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-09T20:00:48.987Z: JOB_MESSAGE_BASIC: Stopping **** pool...
Traceback (most recent call last):
File "/usr/lib/python3.8/runpy.py", line 194, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/usr/lib/python3.8/runpy.py", line 87, 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 1556, in wait_until_finish
assert duration or terminated, (
AssertionError: Job did not reach to a terminal state after waiting indefinitely. Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2023-07-09_08_07_45-16826343675755281433?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: 63
* 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 14s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date
Publishing build scan...
https://ge.apache.org/s/ypaw4z74f7e4o
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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Build failed in Jenkins: beam_LoadTests_Python_Combine_Dataflow_Streaming #1049
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/1049/display/redirect>
Changes:
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Building wheels for collected packages: apache-beam
Building wheel for apache-beam (setup.py): started
Building wheel for apache-beam (setup.py): finished with status 'done'
Created wheel for apache-beam: filename=apache_beam-2.50.0.dev0-py3-none-any.whl size=3255152 sha256=d8aa4d8313e41b7a6d118250891f57ad81ecad7bba874c7d775d84f12ff1b2e7
Stored in directory: /home/jenkins/.cache/pip/wheels/67/34/b8/5adce605a0a3f10491be234729fa4854c6a127bc01194f13fc
Successfully built apache-beam
Installing collected packages: sortedcontainers, pytz, docopt, crcmod, zstandard, wrapt, websocket-client, urllib3, typing-extensions, threadpoolctl, tenacity, sqlparse, sniffio, six, shapely, scipy, regex, pyyaml, pyparsing, pymysql, PyJWT, pyhamcrest, pycparser, pyasn1, pyarrow, psycopg2-binary, proto-plus, portalocker, parameterized, overrides, orjson, objsize, mock, joblib, jmespath, iniconfig, idna, greenlet, googleapis-common-protos, google-crc32c, fasteners, fastavro, execnet, exceptiongroup, dill, deprecation, cloudpickle, charset-normalizer, certifi, attrs, sqlalchemy, scikit-learn, rsa, requests, python-dateutil, pytest, pydot, pyasn1-modules, isodate, hypothesis, httplib2, grpcio-status, google-resumable-media, dnspython, cffi, requests_mock, pytest-xdist, pytest-timeout, pymongo, pandas, oauth2client, hdfs, grpc-google-iam-v1, google-auth, freezegun, docker, cryptography, botocore, azure-core, testcontainers, s3transfer, google-auth-httplib2, google-apitools, google-api-core, azure-storage-blob, apache-beam, msal, google-cloud-core, boto3, msal-extensions, google-cloud-vision, google-cloud-videointelligence, google-cloud-storage, google-cloud-spanner, google-cloud-resource-manager, google-cloud-recommendations-ai, google-cloud-pubsub, google-cloud-language, google-cloud-dlp, google-cloud-datastore, google-cloud-bigtable, google-cloud-bigquery-storage, google-cloud-bigquery, google-cloud-pubsublite, google-cloud-aiplatform, azure-identity
Successfully installed PyJWT-2.7.0 apache-beam-2.50.0.dev0 attrs-23.1.0 azure-core-1.27.1 azure-identity-1.14.0b1 azure-storage-blob-12.17.0b1 boto3-1.28.1 botocore-1.31.1 certifi-2023.5.7 cffi-1.15.1 charset-normalizer-3.2.0 cloudpickle-2.2.1 crcmod-1.7 cryptography-41.0.1 deprecation-2.1.0 dill-0.3.1.1 dnspython-2.4.0rc1 docker-6.1.3 docopt-0.6.2 exceptiongroup-1.1.2 execnet-2.0.0 fastavro-1.8.0 fasteners-0.18 freezegun-1.2.2 google-api-core-2.12.0.dev0 google-apitools-0.5.31 google-auth-2.22.0rc1 google-auth-httplib2-0.1.0 google-cloud-aiplatform-1.27.1 google-cloud-bigquery-3.11.3 google-cloud-bigquery-storage-2.22.0 google-cloud-bigtable-2.19.0 google-cloud-core-2.3.3 google-cloud-datastore-2.16.1 google-cloud-dlp-3.12.2 google-cloud-language-2.10.1 google-cloud-pubsub-2.17.1 google-cloud-pubsublite-1.8.3 google-cloud-recommendations-ai-0.10.4 google-cloud-resource-manager-1.10.2 google-cloud-spanner-3.36.0 google-cloud-storage-2.10.0 google-cloud-videointelligence-2.11.3 google-cloud-vision-3.4.4 google-crc32c-1.5.0 google-resumable-media-2.5.0 googleapis-common-protos-1.59.1 greenlet-3.0.0a1 grpc-google-iam-v1-0.12.6 grpcio-status-1.56.0 hdfs-2.7.0 httplib2-0.22.0 hypothesis-6.80.1 idna-3.4 iniconfig-2.0.0 isodate-0.6.1 jmespath-1.0.1 joblib-1.3.1 mock-5.0.2 msal-1.22.0 msal-extensions-1.0.0 oauth2client-4.1.3 objsize-0.6.1 orjson-3.9.2 overrides-6.5.0 pandas-1.5.3 parameterized-0.9.0 portalocker-2.7.0 proto-plus-1.22.3 psycopg2-binary-2.9.6 pyarrow-11.0.0 pyasn1-0.5.0 pyasn1-modules-0.3.0 pycparser-2.21 pydot-1.4.2 pyhamcrest-2.0.4 pymongo-4.4.0 pymysql-1.1.0 pyparsing-3.1.0 pytest-7.4.0 pytest-timeout-2.1.0 pytest-xdist-3.3.1 python-dateutil-2.8.2 pytz-2023.3 pyyaml-6.0 regex-2023.6.3 requests-2.31.0 requests_mock-1.11.0 rsa-4.9 s3transfer-0.6.1 scikit-learn-1.3.0 scipy-1.10.1 shapely-1.8.5.post1 six-1.16.0 sniffio-1.3.0 sortedcontainers-2.4.0 sqlalchemy-1.4.49 sqlparse-0.4.4 tenacity-8.2.2 testcontainers-3.7.1 threadpoolctl-3.1.0 typing-extensions-4.7.1 urllib3-1.26.16 websocket-client-1.6.1 wrapt-1.15.0 zstandard-0.21.0
> Task :sdks:python:apache_beam:testing:load_tests:run
INFO:apache_beam.runners.portability.stager:Copying Beam SDK "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/build/apache-beam.tar.gz"> 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 https://cloud.google.com/dataflow/docs/guides/using-custom-containers#prebuild
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230705
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20230705" for Docker 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 gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0708125343.1688828876.024489/dataflow_python_sdk.tar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0708125343.1688828876.024489/dataflow_python_sdk.tar in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0708125343.1688828876.024489/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-0708125343.1688828876.024489/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20230708150756025535-3948'
createTime: '2023-07-08T15:07:57.154744Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2023-07-08_08_07_56-10072188540565737904'
location: 'us-central1'
name: 'load-tests-python-dataflow-streaming-combine-1-0708125343'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2023-07-08T15:07:57.154744Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-07-08_08_07_56-10072188540565737904]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-07-08_08_07_56-10072188540565737904
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-07-08_08_07_56-10072188540565737904?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-07-08_08_07_56-10072188540565737904 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-08T15:08:04.207Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-08T15:08:05.373Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-08T15:08:05.421Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-08T15:08:05.479Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-08T15:08:05.546Z: JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-08T15:08:05.564Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write steps
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-08T15:08:05.630Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-08T15:08:05.692Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-08T15:08:05.738Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-08T15:08:05.770Z: JOB_MESSAGE_DETAILED: Fusing consumer Read synthetic/Map(<lambda at iobase.py:908>) into Read synthetic/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-08T15:08:05.796Z: 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:2023-07-08T15:08:05.829Z: 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:2023-07-08T15:08:05.863Z: 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:2023-07-08T15:08:05.894Z: JOB_MESSAGE_DETAILED: Fusing consumer Combine with Top 0/KeyWithVoid into Measure time: Start
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-08T15:08:05.929Z: 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:2023-07-08T15:08:05.971Z: 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:2023-07-08T15:08:06.014Z: 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:2023-07-08T15:08:06.049Z: 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:2023-07-08T15:08:06.072Z: 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:2023-07-08T15:08:06.115Z: JOB_MESSAGE_DETAILED: Fusing consumer Consume 0 into Combine with Top 0/UnKey
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-08T15:08:06.148Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure time: End 0 into Consume 0
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-08T15:08:06.244Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-08T15:08:06.280Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-08T15:08:06.307Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-08T15:08:06.368Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-08T15:08:06.402Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-08T15:08:06.597Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-08T15:08:06.637Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-08T15:08:06.667Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-07-08_08_07_56-10072188540565737904 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-08T15:08:40.768Z: 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:2023-07-08T15:08:57.737Z: 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:2023-07-08T15:08:57.772Z: 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:2023-07-08T15:09:07.657Z: 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:2023-07-08T15:09:32.229Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-08T15:09:44.321Z: JOB_MESSAGE_DETAILED: All ****s have finished the startup processes and began to receive work requests.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-08T15:37:30.828Z: JOB_MESSAGE_WARNING: The ****s of given job are going to be updated.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-08T16:07:01.760Z: 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:2023-07-08T16:09:10.057Z: 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:2023-07-08T16:38:03.069Z: 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:2023-07-08T16:39:04.331Z: 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:2023-07-08T17:01:06.672Z: 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:2023-07-08T17:11:08.426Z: 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:2023-07-08T17:22:06.624Z: 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:2023-07-08T17:33:08.135Z: 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:2023-07-08T17:51:19.804Z: 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:2023-07-08T18:01:21.178Z: 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:2023-07-08T18:19:13.043Z: 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:2023-07-08T18:23:14.156Z: 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:2023-07-08T18:46:26.166Z: 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:2023-07-08T18:51:18.256Z: 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:2023-07-08T19:13:26.489Z: 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:2023-07-08T19:16:18.360Z: 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:2023-07-08T19:44:20.432Z: 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:2023-07-08T19:45:31.443Z: 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 2023-07-08_08_07_56-10072188540565737904 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-08T20:01:01.223Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2023-07-08_08_07_56-10072188540565737904.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-08T20:01:01.267Z: JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-08T20:01:01.352Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-08T20:01:01.376Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-08T20:01:01.399Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-07-08T20:01:01.423Z: JOB_MESSAGE_BASIC: Stopping **** pool...
Traceback (most recent call last):
File "/usr/lib/python3.8/runpy.py", line 194, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/usr/lib/python3.8/runpy.py", line 87, 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 1556, in wait_until_finish
assert duration or terminated, (
AssertionError: Job did not reach to a terminal state after waiting indefinitely. Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2023-07-08_08_07_56-10072188540565737904?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: 63
* 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 12s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date
Publishing build scan...
https://ge.apache.org/s/kqp64okasotuy
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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