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Posted to builds@beam.apache.org by Apache Jenkins Server <je...@builds.apache.org> on 2023/02/11 20:01:41 UTC
Build failed in Jenkins: beam_LoadTests_Python_Combine_Dataflow_Streaming #901
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/901/display/redirect?page=changes>
Changes:
[chamikaramj] Update PythonMap transform to accept extra packages
[chamikaramj] Update the test
[chamikaramj] Address reviewer comments
[chamikaramj] Copy environment capabilities when creating the WorkerPool for Java
[noreply] Added MetadataSpannerConfig class for generating SpannerConfig for
[noreply] Remove ValueProvider from BigtableIO ReadChangeStream (#25409)
[noreply] Annotate Cloud Bigtable implementation details as Internal (#25403)
[noreply] Add dependencies in some examples (#25425)
[noreply] Add batching args to ModelHandlers docs (#25398)
[noreply] Data sampling proto (#25421)
[noreply] Support ONNX runtime in RunInference API (#24911)
[noreply] Fix UpdateSchemaDestination breaking DynamicDestination in Bigquery
[noreply] Fix whitespace (#25432)
[noreply] [#25417][go] copy env details to dataflow images (#25431)
[noreply] Update jupyter-client requirement from <6.1.13,>=6.1.11 to
[noreply] Add runtime metric to TFT tests (#25242)
[noreply] Fix typo tranform; workaround non-ascii char (#25428)
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Installing collected packages: sortedcontainers, pytz, pyasn1, parameterized, docopt, crcmod, charset-normalizer, zstandard, wrapt, websocket-client, urllib3, tomli, threadpoolctl, tenacity, sqlparse, scipy, rsa, regex, pyyaml, python-dateutil, pyparsing, pymysql, pymongo, PyJWT, pyhamcrest, pycparser, pyasn1-modules, pyarrow, psycopg2-binary, proto-plus, portalocker, pbr, overrides, orjson, objsize, oauthlib, joblib, jmespath, isodate, iniconfig, idna, greenlet, googleapis-common-protos, google-crc32c, fasteners, fastavro, execnet, exceptiongroup, dill, deprecation, cloudpickle, certifi, cachetools, attrs, sqlalchemy, scikit-learn, requests, pydot, pandas, mock, hypothesis, httplib2, grpcio-status, google-resumable-media, google-auth, freezegun, cffi, botocore, s3transfer, requests-oauthlib, requests_mock, pytest, oauth2client, hdfs, grpc-google-iam-v1, google-auth-httplib2, google-api-core, docker, cryptography, azure-core, testcontainers, pytest-timeout, pytest-forked, msrest, google-cloud-core, google-apitools, boto3, apache-beam, pytest-xdist, msal, google-cloud-vision, google-cloud-videointelligence, google-cloud-spanner, 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, azure-storage-blob, msal-extensions, google-cloud-pubsublite, azure-identity
Successfully installed PyJWT-2.6.0 apache-beam-2.46.0.dev0 attrs-22.2.0 azure-core-1.26.3 azure-identity-1.12.0 azure-storage-blob-12.14.1 boto3-1.26.69 botocore-1.29.69 cachetools-4.2.4 certifi-2022.12.7 cffi-1.15.1 charset-normalizer-3.0.1 cloudpickle-2.2.1 crcmod-1.7 cryptography-39.0.1 deprecation-2.1.0 dill-0.3.1.1 docker-6.0.1 docopt-0.6.2 exceptiongroup-1.1.0 execnet-1.9.0 fastavro-1.7.1 fasteners-0.18 freezegun-1.2.2 google-api-core-2.11.0 google-apitools-0.5.31 google-auth-2.16.0 google-auth-httplib2-0.1.0 google-cloud-bigquery-3.5.0 google-cloud-bigquery-storage-2.16.2 google-cloud-bigtable-1.7.3 google-cloud-core-2.3.2 google-cloud-datastore-1.15.5 google-cloud-dlp-3.11.1 google-cloud-language-1.3.2 google-cloud-pubsub-2.14.1 google-cloud-pubsublite-1.6.0 google-cloud-recommendations-ai-0.7.1 google-cloud-spanner-3.27.1 google-cloud-videointelligence-1.16.3 google-cloud-vision-3.3.1 google-crc32c-1.5.0 google-resumable-media-2.4.1 googleapis-common-protos-1.58.0 greenlet-2.0.2 grpc-google-iam-v1-0.12.6 grpcio-status-1.48.2 hdfs-2.7.0 httplib2-0.21.0 hypothesis-6.68.0 idna-3.4 iniconfig-2.0.0 isodate-0.6.1 jmespath-1.0.1 joblib-1.2.0 mock-2.0.0 msal-1.21.0 msal-extensions-1.0.0 msrest-0.7.1 oauth2client-4.1.3 oauthlib-3.2.2 objsize-0.6.1 orjson-3.8.6 overrides-6.5.0 pandas-1.3.5 parameterized-0.8.1 pbr-5.11.1 portalocker-2.7.0 proto-plus-1.22.2 psycopg2-binary-2.9.5 pyarrow-9.0.0 pyasn1-0.4.8 pyasn1-modules-0.2.8 pycparser-2.21 pydot-1.4.2 pyhamcrest-1.10.1 pymongo-3.13.0 pymysql-1.0.2 pyparsing-3.0.9 pytest-7.2.1 pytest-forked-1.4.0 pytest-timeout-2.1.0 pytest-xdist-2.5.0 python-dateutil-2.8.2 pytz-2022.7.1 pyyaml-6.0 regex-2022.10.31 requests-2.28.2 requests-oauthlib-1.3.1 requests_mock-1.10.0 rsa-4.9 s3transfer-0.6.0 scikit-learn-1.0.2 scipy-1.7.3 sortedcontainers-2.4.0 sqlalchemy-1.4.46 sqlparse-0.4.3 tenacity-5.1.5 testcontainers-3.7.1 threadpoolctl-3.1.0 tomli-2.0.1 urllib3-1.26.14 websocket-client-1.5.1 wrapt-1.14.1 zstandard-0.19.0
> 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:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.46.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/python37-fnapi:beam-master-20230126
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/python37-fnapi:beam-master-20230126" 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-1-0211150213.1676128078.476762/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-1-0211150213.1676128078.476762/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-1-0211150213.1676128078.476762/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-1-0211150213.1676128078.476762/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: [2023-02-11_07_07_59-5722825513126140965]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-02-11_07_07_59-5722825513126140965
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-02-11_07_07_59-5722825513126140965?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-02-11_07_07_59-5722825513126140965 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-11T15:08:05.910Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-11T15:08:07.253Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-11T15:08:07.286Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-11T15:08:07.365Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-11T15:08:07.496Z: JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-11T15:08:07.514Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write steps
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-11T15:08:07.559Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-11T15:08:07.603Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-11T15:08:07.634Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-11T15:08:07.661Z: JOB_MESSAGE_DETAILED: Fusing consumer Read synthetic/Map(<lambda at iobase.py:908>) into Read synthetic/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-11T15:08:07.679Z: 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:2023-02-11T15:08:07.720Z: 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:2023-02-11T15:08:07.755Z: 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:2023-02-11T15:08:07.783Z: JOB_MESSAGE_DETAILED: Fusing consumer Combine with Top 0/KeyWithVoid into Measure time: Start
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-11T15:08:07.806Z: 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:2023-02-11T15:08:07.878Z: 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:2023-02-11T15:08:07.907Z: 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:2023-02-11T15:08:07.935Z: 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:2023-02-11T15:08:07.958Z: 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:2023-02-11T15:08:07.980Z: JOB_MESSAGE_DETAILED: Fusing consumer Consume 0 into Combine with Top 0/UnKey
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-11T15:08:08.004Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure time: End 0 into Consume 0
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-11T15:08:08.084Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-11T15:08:08.113Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-11T15:08:08.134Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-11T15:08:08.163Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-11T15:08:08.195Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-11T15:08:09.293Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-11T15:08:09.312Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-11T15:08:09.367Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-02-11_07_07_59-5722825513126140965 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-11T15:08:17.975Z: 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:2023-02-11T15:08:51.237Z: 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.
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Traceback (most recent call last):
File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
"__main__", mod_spec)
File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
exec(code, run_globals)
File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/combine_test.py",> line 129, in <module>
CombineTest().run()
File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 152, in run
state = self.result.wait_until_finish(duration=self.timeout_ms)
File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/apache_beam/runners/dataflow/dataflow_runner.py",> line 1547, in wait_until_finish
'{}'.format(consoleUrl))
AssertionError: Job did not reach to a terminal state after waiting indefinitely. Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2023-02-11_07_07_59-5722825513126140965?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://gradle.com/s/x3itxzvv26toc
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 #907
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/907/display/redirect?page=changes>
Changes:
[noreply] Fix whitespace check (#25514)
[noreply] Add back links removed in #24744 (#25513)
[bvolpato] Fix pull_licenses_java returning 404 from opensource.org
[noreply] [#24789][prism] internal/jobservices metrics + tests (#25497)
[noreply] [Go SDK]: Allow SDF methods to have context param and error return value
[noreply] Move closing milestone out of PMC-only tasks (#25516)
[noreply] update GCP cloud libraries BOM to 26.8.0 (#25470)
[noreply] Fix interface{} in iter& emit type of DoFn in Go (#25203)
[noreply] Task #25064: Python SDK Data sampling implementation (#25093)
[noreply] Add support for all Java based portable runners to consume elements
[noreply] Swap Java SDK container to use eclipse-temurin as the base instead of
[noreply] Update BigQueryIO documentation with details on how to override the
[noreply] Support Avro GenericRecord as a valid format for StorageWrite API on
[elizaveta.lomteva] complete examples links fixed
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Successfully built apache-beam
Installing collected packages: sortedcontainers, pytz, pyasn1, parameterized, docopt, crcmod, charset-normalizer, zstandard, wrapt, websocket-client, urllib3, tomli, threadpoolctl, tenacity, sqlparse, scipy, rsa, regex, pyyaml, python-dateutil, pyparsing, pymysql, pymongo, PyJWT, pyhamcrest, pycparser, pyasn1-modules, pyarrow, psycopg2-binary, proto-plus, portalocker, pbr, overrides, orjson, objsize, oauthlib, joblib, jmespath, isodate, iniconfig, idna, greenlet, googleapis-common-protos, google-crc32c, fasteners, fastavro, execnet, exceptiongroup, dill, deprecation, cloudpickle, certifi, cachetools, attrs, sqlalchemy, scikit-learn, requests, pydot, pandas, mock, hypothesis, httplib2, grpcio-status, google-resumable-media, google-auth, freezegun, cffi, botocore, s3transfer, requests-oauthlib, requests_mock, pytest, oauth2client, hdfs, grpc-google-iam-v1, google-auth-httplib2, google-api-core, docker, cryptography, azure-core, testcontainers, pytest-timeout, pytest-forked, msrest, google-cloud-core, google-apitools, boto3, apache-beam, pytest-xdist, msal, google-cloud-vision, google-cloud-videointelligence, google-cloud-spanner, 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, azure-storage-blob, msal-extensions, google-cloud-pubsublite, azure-identity
Successfully installed PyJWT-2.6.0 apache-beam-2.46.0.dev0 attrs-22.2.0 azure-core-1.26.3 azure-identity-1.12.0 azure-storage-blob-12.14.1 boto3-1.26.73 botocore-1.29.73 cachetools-4.2.4 certifi-2022.12.7 cffi-1.15.1 charset-normalizer-3.0.1 cloudpickle-2.2.1 crcmod-1.7 cryptography-39.0.1 deprecation-2.1.0 dill-0.3.1.1 docker-6.0.1 docopt-0.6.2 exceptiongroup-1.1.0 execnet-1.9.0 fastavro-1.7.1 fasteners-0.18 freezegun-1.2.2 google-api-core-2.11.0 google-apitools-0.5.31 google-auth-2.16.0 google-auth-httplib2-0.1.0 google-cloud-bigquery-3.5.0 google-cloud-bigquery-storage-2.16.2 google-cloud-bigtable-1.7.3 google-cloud-core-2.3.2 google-cloud-datastore-1.15.5 google-cloud-dlp-3.11.1 google-cloud-language-1.3.2 google-cloud-pubsub-2.14.1 google-cloud-pubsublite-1.7.0 google-cloud-recommendations-ai-0.7.1 google-cloud-spanner-3.27.1 google-cloud-videointelligence-1.16.3 google-cloud-vision-3.3.1 google-crc32c-1.5.0 google-resumable-media-2.4.1 googleapis-common-protos-1.58.0 greenlet-2.0.2 grpc-google-iam-v1-0.12.6 grpcio-status-1.48.2 hdfs-2.7.0 httplib2-0.21.0 hypothesis-6.68.2 idna-3.4 iniconfig-2.0.0 isodate-0.6.1 jmespath-1.0.1 joblib-1.2.0 mock-2.0.0 msal-1.21.0 msal-extensions-1.0.0 msrest-0.7.1 oauth2client-4.1.3 oauthlib-3.2.2 objsize-0.6.1 orjson-3.8.6 overrides-6.5.0 pandas-1.3.5 parameterized-0.8.1 pbr-5.11.1 portalocker-2.7.0 proto-plus-1.22.2 psycopg2-binary-2.9.5 pyarrow-9.0.0 pyasn1-0.4.8 pyasn1-modules-0.2.8 pycparser-2.21 pydot-1.4.2 pyhamcrest-1.10.1 pymongo-3.13.0 pymysql-1.0.2 pyparsing-3.0.9 pytest-7.2.1 pytest-forked-1.6.0 pytest-timeout-2.1.0 pytest-xdist-2.5.0 python-dateutil-2.8.2 pytz-2022.7.1 pyyaml-6.0 regex-2022.10.31 requests-2.28.2 requests-oauthlib-1.3.1 requests_mock-1.10.0 rsa-4.9 s3transfer-0.6.0 scikit-learn-1.0.2 scipy-1.7.3 sortedcontainers-2.4.0 sqlalchemy-1.4.46 sqlparse-0.4.3 tenacity-5.1.5 testcontainers-3.7.1 threadpoolctl-3.1.0 tomli-2.0.1 urllib3-1.26.14 websocket-client-1.5.1 wrapt-1.14.1 zstandard-0.19.0
> 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:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.46.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/python37-fnapi:beam-master-20230126
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/python37-fnapi:beam-master-20230126" 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-1-0217153132.1676650218.082096/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-1-0217153132.1676650218.082096/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-1-0217153132.1676650218.082096/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-1-0217153132.1676650218.082096/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20230217161018083043-6484'
createTime: '2023-02-17T16:10:19.174953Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2023-02-17_08_10_18-4318114438587344678'
location: 'us-central1'
name: 'load-tests-python-dataflow-streaming-combine-1-0217153132'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2023-02-17T16:10:19.174953Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-02-17_08_10_18-4318114438587344678]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-02-17_08_10_18-4318114438587344678
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-02-17_08_10_18-4318114438587344678?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-02-17_08_10_18-4318114438587344678 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-17T16:10:52.583Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-17T16:10:54.343Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-17T16:10:54.378Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-17T16:10:54.439Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-17T16:10:54.490Z: JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-17T16:10:54.529Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write steps
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-17T16:10:54.593Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-17T16:10:54.658Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-17T16:10:54.689Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-17T16:10:54.723Z: JOB_MESSAGE_DETAILED: Fusing consumer Read synthetic/Map(<lambda at iobase.py:908>) into Read synthetic/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-17T16:10:54.754Z: 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:2023-02-17T16:10:54.786Z: 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:2023-02-17T16:10:54.819Z: 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:2023-02-17T16:10:54.851Z: JOB_MESSAGE_DETAILED: Fusing consumer Combine with Top 0/KeyWithVoid into Measure time: Start
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-17T16:10:54.884Z: 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:2023-02-17T16:10:54.915Z: 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:2023-02-17T16:10:54.948Z: 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:2023-02-17T16:10:54.981Z: 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:2023-02-17T16:10:55.014Z: 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:2023-02-17T16:10:55.047Z: JOB_MESSAGE_DETAILED: Fusing consumer Consume 0 into Combine with Top 0/UnKey
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-17T16:10:55.075Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure time: End 0 into Consume 0
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-17T16:10:55.184Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-17T16:10:55.219Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-17T16:10:55.240Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-17T16:10:55.274Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-17T16:10:55.301Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-17T16:10:56.385Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-17T16:10:56.418Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-17T16:10:56.457Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-02-17_08_10_18-4318114438587344678 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-17T16:11:17.793Z: 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:2023-02-17T16:11:36.786Z: 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:2023-02-17T16:11:36.825Z: 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:2023-02-17T16:11:46.580Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-17T16:12:15.213Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-17T16:12:25.528Z: JOB_MESSAGE_DETAILED: All ****s have finished the startup processes and began to receive work requests.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-17T16:53:54.020Z: 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:2023-02-17T16:55:52.615Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-17T16:57:54.072Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-17T17:26:05.408Z: 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:2023-02-17T17:26:56.256Z: 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:2023-02-17T17:38:57.322Z: 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:2023-02-17T18:00:58.692Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-17T18:07:00.360Z: 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:2023-02-17T18:22:06.394Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-17T18:22:08.612Z: 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:2023-02-17T18:34:26.693Z: 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:2023-02-17T18:35:27.608Z: 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:2023-02-17T19:10:29.016Z: 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:2023-02-17T19:12:30.140Z: 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:2023-02-17T19:42:41.382Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-17T19:49:32.888Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-17T20:15:23.545Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2023-02-17_08_10_18-4318114438587344678.
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-02-17_08_10_18-4318114438587344678 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-17T20:15:23.595Z: JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-17T20:15:23.677Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-17T20:15:23.699Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-17T20:15:23.787Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-17T20:15:23.824Z: JOB_MESSAGE_BASIC: Stopping **** pool...
Traceback (most recent call last):
File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
"__main__", mod_spec)
File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
exec(code, run_globals)
File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/combine_test.py",> line 129, in <module>
CombineTest().run()
File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 152, in run
state = self.result.wait_until_finish(duration=self.timeout_ms)
File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/apache_beam/runners/dataflow/dataflow_runner.py",> line 1547, in wait_until_finish
'{}'.format(consoleUrl))
AssertionError: Job did not reach to a terminal state after waiting indefinitely. Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2023-02-17_08_10_18-4318114438587344678?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 8m 6s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date
Publishing build scan...
https://gradle.com/s/sgen6k2pmwen4
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 #906
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/906/display/redirect?page=changes>
Changes:
[noreply] SpannerIO: parameterizing partitionQuery timeout (#25236)
[noreply] Use example id as CloudPath (#25487)
[noreply] SpannerIO: Handling pg spanner.commit_timestamp (#25479)
[noreply] Fix provider to be found by AutoService (#25491)
[noreply] [Python] Added Tensorflow Model Handler (#25368)
[noreply] [#24789][prism] internal/coders.go and tests (#25476)
[noreply] Update documents for 2.45 (#25407)
[noreply] Update documents for 2.45 (#25500)
[noreply] Update python container images (#25475)
[noreply] Fix beam.Row.__eq__ for rows with trailing columns (#23876)
[noreply] TFMA notebook showing ExtractEvaluateAndWriteResult Tranfsorm (#25381)
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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-2.46.0.dev0-py3-none-any.whl size=3022742 sha256=9209de4a29a96f7dffb713a3391ae156f0051741bcaafcf90f32f8252c15d7d1
Stored in directory: /home/jenkins/.cache/pip/wheels/e6/1f/28/9337974c607f5f016ef124646a645ebf2fb34bdd32df5f9dd8
Successfully built apache-beam
Installing collected packages: sortedcontainers, pytz, pyasn1, parameterized, docopt, crcmod, charset-normalizer, zstandard, wrapt, websocket-client, urllib3, tomli, threadpoolctl, tenacity, sqlparse, scipy, rsa, regex, pyyaml, python-dateutil, pyparsing, pymysql, pymongo, PyJWT, pyhamcrest, pycparser, pyasn1-modules, pyarrow, psycopg2-binary, proto-plus, portalocker, pbr, overrides, orjson, objsize, oauthlib, joblib, jmespath, isodate, iniconfig, idna, greenlet, googleapis-common-protos, google-crc32c, fasteners, fastavro, execnet, exceptiongroup, dill, deprecation, cloudpickle, certifi, cachetools, attrs, sqlalchemy, scikit-learn, requests, pydot, pandas, mock, hypothesis, httplib2, grpcio-status, google-resumable-media, google-auth, freezegun, cffi, botocore, s3transfer, requests-oauthlib, requests_mock, pytest, oauth2client, hdfs, grpc-google-iam-v1, google-auth-httplib2, google-api-core, docker, cryptography, azure-core, testcontainers, pytest-timeout, pytest-forked, msrest, google-cloud-core, google-apitools, boto3, apache-beam, pytest-xdist, msal, google-cloud-vision, google-cloud-videointelligence, google-cloud-spanner, 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, azure-storage-blob, msal-extensions, google-cloud-pubsublite, azure-identity
Successfully installed PyJWT-2.6.0 apache-beam-2.46.0.dev0 attrs-22.2.0 azure-core-1.26.3 azure-identity-1.12.0 azure-storage-blob-12.14.1 boto3-1.26.72 botocore-1.29.72 cachetools-4.2.4 certifi-2022.12.7 cffi-1.15.1 charset-normalizer-3.0.1 cloudpickle-2.2.1 crcmod-1.7 cryptography-39.0.1 deprecation-2.1.0 dill-0.3.1.1 docker-6.0.1 docopt-0.6.2 exceptiongroup-1.1.0 execnet-1.9.0 fastavro-1.7.1 fasteners-0.18 freezegun-1.2.2 google-api-core-2.11.0 google-apitools-0.5.31 google-auth-2.16.0 google-auth-httplib2-0.1.0 google-cloud-bigquery-3.5.0 google-cloud-bigquery-storage-2.16.2 google-cloud-bigtable-1.7.3 google-cloud-core-2.3.2 google-cloud-datastore-1.15.5 google-cloud-dlp-3.11.1 google-cloud-language-1.3.2 google-cloud-pubsub-2.14.1 google-cloud-pubsublite-1.7.0 google-cloud-recommendations-ai-0.7.1 google-cloud-spanner-3.27.1 google-cloud-videointelligence-1.16.3 google-cloud-vision-3.3.1 google-crc32c-1.5.0 google-resumable-media-2.4.1 googleapis-common-protos-1.58.0 greenlet-2.0.2 grpc-google-iam-v1-0.12.6 grpcio-status-1.48.2 hdfs-2.7.0 httplib2-0.21.0 hypothesis-6.68.1 idna-3.4 iniconfig-2.0.0 isodate-0.6.1 jmespath-1.0.1 joblib-1.2.0 mock-2.0.0 msal-1.21.0 msal-extensions-1.0.0 msrest-0.7.1 oauth2client-4.1.3 oauthlib-3.2.2 objsize-0.6.1 orjson-3.8.6 overrides-6.5.0 pandas-1.3.5 parameterized-0.8.1 pbr-5.11.1 portalocker-2.7.0 proto-plus-1.22.2 psycopg2-binary-2.9.5 pyarrow-9.0.0 pyasn1-0.4.8 pyasn1-modules-0.2.8 pycparser-2.21 pydot-1.4.2 pyhamcrest-1.10.1 pymongo-3.13.0 pymysql-1.0.2 pyparsing-3.0.9 pytest-7.2.1 pytest-forked-1.6.0 pytest-timeout-2.1.0 pytest-xdist-2.5.0 python-dateutil-2.8.2 pytz-2022.7.1 pyyaml-6.0 regex-2022.10.31 requests-2.28.2 requests-oauthlib-1.3.1 requests_mock-1.10.0 rsa-4.9 s3transfer-0.6.0 scikit-learn-1.0.2 scipy-1.7.3 sortedcontainers-2.4.0 sqlalchemy-1.4.46 sqlparse-0.4.3 tenacity-5.1.5 testcontainers-3.7.1 threadpoolctl-3.1.0 tomli-2.0.1 urllib3-1.26.14 websocket-client-1.5.1 wrapt-1.14.1 zstandard-0.19.0
> 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:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.46.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/python37-fnapi:beam-master-20230126
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/python37-fnapi:beam-master-20230126" 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-1-0216150318.1676560125.420870/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-1-0216150318.1676560125.420870/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-1-0216150318.1676560125.420870/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-1-0216150318.1676560125.420870/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20230216150845422486-5564'
createTime: '2023-02-16T15:08:46.692944Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2023-02-16_07_08_46-3767038071377425053'
location: 'us-central1'
name: 'load-tests-python-dataflow-streaming-combine-1-0216150318'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2023-02-16T15:08:46.692944Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-02-16_07_08_46-3767038071377425053]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-02-16_07_08_46-3767038071377425053
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-02-16_07_08_46-3767038071377425053?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-02-16_07_08_46-3767038071377425053 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-16T15:08:59.705Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-16T15:09:01.080Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-16T15:09:01.111Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-16T15:09:01.174Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-16T15:09:01.240Z: JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-16T15:09:01.270Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write steps
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-16T15:09:01.338Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-16T15:09:01.395Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-16T15:09:01.428Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-16T15:09:01.463Z: JOB_MESSAGE_DETAILED: Fusing consumer Read synthetic/Map(<lambda at iobase.py:908>) into Read synthetic/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-16T15:09:01.494Z: 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:2023-02-16T15:09:01.528Z: 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:2023-02-16T15:09:01.551Z: 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:2023-02-16T15:09:01.588Z: JOB_MESSAGE_DETAILED: Fusing consumer Combine with Top 0/KeyWithVoid into Measure time: Start
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-16T15:09:01.620Z: 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:2023-02-16T15:09:01.652Z: 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:2023-02-16T15:09:01.679Z: 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:2023-02-16T15:09:01.701Z: 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:2023-02-16T15:09:01.723Z: 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:2023-02-16T15:09:01.745Z: JOB_MESSAGE_DETAILED: Fusing consumer Consume 0 into Combine with Top 0/UnKey
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-16T15:09:01.770Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure time: End 0 into Consume 0
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-16T15:09:01.867Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-16T15:09:01.900Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-16T15:09:01.936Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-16T15:09:01.979Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-16T15:09:02.015Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-02-16_07_08_46-3767038071377425053 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-16T15:09:03.080Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-16T15:09:03.107Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-16T15:09:03.157Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-16T15:09:26.594Z: 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:2023-02-16T15:09:41.626Z: 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:2023-02-16T15:10:14.094Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-16T15:10:25.423Z: JOB_MESSAGE_DETAILED: All ****s have finished the startup processes and began to receive work requests.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-16T15:52:08.582Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-16T15:53:59.430Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-16T15:55:06.538Z: JOB_MESSAGE_DETAILED: Autoscaling: 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:2023-02-16T19:54:21.143Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 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 2023-02-16_07_08_46-3767038071377425053 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-16T20:00:53.858Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2023-02-16_07_08_46-3767038071377425053.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-16T20:00:53.902Z: JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-16T20:00:53.972Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
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INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-16T20:00:54.015Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-16T20:00:54.037Z: JOB_MESSAGE_BASIC: Stopping **** pool...
Traceback (most recent call last):
File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
"__main__", mod_spec)
File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
exec(code, run_globals)
File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/combine_test.py",> line 129, in <module>
CombineTest().run()
File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 152, in run
state = self.result.wait_until_finish(duration=self.timeout_ms)
File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/apache_beam/runners/dataflow/dataflow_runner.py",> line 1547, in wait_until_finish
'{}'.format(consoleUrl))
AssertionError: Job did not reach to a terminal state after waiting indefinitely. Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2023-02-16_07_08_46-3767038071377425053?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 49s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date
Publishing build scan...
https://gradle.com/s/4w4iw3dycxik6
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 #905
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/905/display/redirect?page=changes>
Changes:
[noreply] Update grafana dashboard to handle name change for
[noreply] Test loading URLs (#25034)
[noreply] Fixing issue with ErrorCapture transform where pipeline issues are
[noreply] [24464] Finalize FileWriteSchemaTransformProvider (#25420)
[noreply] Use codecov-action@v3; v2 is no longer supported. (#25477)
[noreply] Update the title of the wordcount quickstart (#25471)
[noreply] [Go SDK] add retries to connect with expansion service (#25237)
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Building wheels for collected packages: apache-beam
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Installing collected packages: sortedcontainers, pytz, pyasn1, parameterized, docopt, crcmod, charset-normalizer, zstandard, wrapt, websocket-client, urllib3, tomli, threadpoolctl, tenacity, sqlparse, scipy, rsa, regex, pyyaml, python-dateutil, pyparsing, pymysql, pymongo, PyJWT, pyhamcrest, pycparser, pyasn1-modules, pyarrow, psycopg2-binary, proto-plus, portalocker, pbr, overrides, orjson, objsize, oauthlib, joblib, jmespath, isodate, iniconfig, idna, greenlet, googleapis-common-protos, google-crc32c, fasteners, fastavro, execnet, exceptiongroup, dill, deprecation, cloudpickle, certifi, cachetools, attrs, sqlalchemy, scikit-learn, requests, pydot, pandas, mock, hypothesis, httplib2, grpcio-status, google-resumable-media, google-auth, freezegun, cffi, botocore, s3transfer, requests-oauthlib, requests_mock, pytest, oauth2client, hdfs, grpc-google-iam-v1, google-auth-httplib2, google-api-core, docker, cryptography, azure-core, testcontainers, pytest-timeout, pytest-forked, msrest, google-cloud-core, google-apitools, boto3, apache-beam, pytest-xdist, msal, google-cloud-vision, google-cloud-videointelligence, google-cloud-spanner, 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, azure-storage-blob, msal-extensions, google-cloud-pubsublite, azure-identity
Successfully installed PyJWT-2.6.0 apache-beam-2.46.0.dev0 attrs-22.2.0 azure-core-1.26.3 azure-identity-1.12.0 azure-storage-blob-12.14.1 boto3-1.26.71 botocore-1.29.71 cachetools-4.2.4 certifi-2022.12.7 cffi-1.15.1 charset-normalizer-3.0.1 cloudpickle-2.2.1 crcmod-1.7 cryptography-39.0.1 deprecation-2.1.0 dill-0.3.1.1 docker-6.0.1 docopt-0.6.2 exceptiongroup-1.1.0 execnet-1.9.0 fastavro-1.7.1 fasteners-0.18 freezegun-1.2.2 google-api-core-2.11.0 google-apitools-0.5.31 google-auth-2.16.0 google-auth-httplib2-0.1.0 google-cloud-bigquery-3.5.0 google-cloud-bigquery-storage-2.16.2 google-cloud-bigtable-1.7.3 google-cloud-core-2.3.2 google-cloud-datastore-1.15.5 google-cloud-dlp-3.11.1 google-cloud-language-1.3.2 google-cloud-pubsub-2.14.1 google-cloud-pubsublite-1.6.0 google-cloud-recommendations-ai-0.7.1 google-cloud-spanner-3.27.1 google-cloud-videointelligence-1.16.3 google-cloud-vision-3.3.1 google-crc32c-1.5.0 google-resumable-media-2.4.1 googleapis-common-protos-1.58.0 greenlet-2.0.2 grpc-google-iam-v1-0.12.6 grpcio-status-1.48.2 hdfs-2.7.0 httplib2-0.21.0 hypothesis-6.68.1 idna-3.4 iniconfig-2.0.0 isodate-0.6.1 jmespath-1.0.1 joblib-1.2.0 mock-2.0.0 msal-1.21.0 msal-extensions-1.0.0 msrest-0.7.1 oauth2client-4.1.3 oauthlib-3.2.2 objsize-0.6.1 orjson-3.8.6 overrides-6.5.0 pandas-1.3.5 parameterized-0.8.1 pbr-5.11.1 portalocker-2.7.0 proto-plus-1.22.2 psycopg2-binary-2.9.5 pyarrow-9.0.0 pyasn1-0.4.8 pyasn1-modules-0.2.8 pycparser-2.21 pydot-1.4.2 pyhamcrest-1.10.1 pymongo-3.13.0 pymysql-1.0.2 pyparsing-3.0.9 pytest-7.2.1 pytest-forked-1.6.0 pytest-timeout-2.1.0 pytest-xdist-2.5.0 python-dateutil-2.8.2 pytz-2022.7.1 pyyaml-6.0 regex-2022.10.31 requests-2.28.2 requests-oauthlib-1.3.1 requests_mock-1.10.0 rsa-4.9 s3transfer-0.6.0 scikit-learn-1.0.2 scipy-1.7.3 sortedcontainers-2.4.0 sqlalchemy-1.4.46 sqlparse-0.4.3 tenacity-5.1.5 testcontainers-3.7.1 threadpoolctl-3.1.0 tomli-2.0.1 urllib3-1.26.14 websocket-client-1.5.1 wrapt-1.14.1 zstandard-0.19.0
> 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:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.46.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/python37-fnapi:beam-master-20230126
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/python37-fnapi:beam-master-20230126" 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-1-0215150208.1676473677.393096/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-1-0215150208.1676473677.393096/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-1-0215150208.1676473677.393096/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-1-0215150208.1676473677.393096/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
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id: '2023-02-15_07_07_57-10014613229984620104'
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name: 'load-tests-python-dataflow-streaming-combine-1-0215150208'
projectId: 'apache-beam-testing'
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startTime: '2023-02-15T15:07:58.417398Z'
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tempFiles: []
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INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-02-15_07_07_57-10014613229984620104]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-02-15_07_07_57-10014613229984620104
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-02-15_07_07_57-10014613229984620104?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-02-15_07_07_57-10014613229984620104 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-15T15:08:05.205Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-15T15:08:07.019Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-15T15:08:07.058Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-15T15:08:07.129Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-15T15:08:07.198Z: JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-15T15:08:07.227Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write steps
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-15T15:08:07.277Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-15T15:08:07.335Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-15T15:08:07.385Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-15T15:08:07.409Z: JOB_MESSAGE_DETAILED: Fusing consumer Read synthetic/Map(<lambda at iobase.py:908>) into Read synthetic/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-15T15:08:07.452Z: 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:2023-02-15T15:08:07.475Z: 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:2023-02-15T15:08:07.511Z: 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:2023-02-15T15:08:07.535Z: JOB_MESSAGE_DETAILED: Fusing consumer Combine with Top 0/KeyWithVoid into Measure time: Start
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-15T15:08:07.564Z: 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:2023-02-15T15:08:07.593Z: 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:2023-02-15T15:08:07.622Z: JOB_MESSAGE_DETAILED: Fusing consumer Combine with Top 0/CombinePerKey/Combine into Combine with Top 0/CombinePerKey/GroupByKey/ReadStream
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INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-15T15:08:07.734Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure time: End 0 into Consume 0
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-15T15:08:07.833Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
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INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-15T15:08:07.905Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
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INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-15T15:08:08.079Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
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INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-15T15:08:08.164Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-02-15_07_07_57-10014613229984620104 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-15T15:08:41.935Z: 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:2023-02-15T15:08:47.052Z: 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:2023-02-15T15:09:18.967Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
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INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-15T19:06:29.093Z: JOB_MESSAGE_DETAILED: Autoscaling: 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:2023-02-15T19:42:34.936Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-15T19:50:46.110Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-15T20:00:37.074Z: 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:Job 2023-02-15_07_07_57-10014613229984620104 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-15T20:00:56.902Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2023-02-15_07_07_57-10014613229984620104.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-15T20:00:56.936Z: JOB_MESSAGE_DETAILED: Cleaning up.
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Traceback (most recent call last):
File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
"__main__", mod_spec)
File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
exec(code, run_globals)
File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/combine_test.py",> line 129, in <module>
CombineTest().run()
File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 152, in run
state = self.result.wait_until_finish(duration=self.timeout_ms)
File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/apache_beam/runners/dataflow/dataflow_runner.py",> line 1547, in wait_until_finish
'{}'.format(consoleUrl))
AssertionError: Job did not reach to a terminal state after waiting indefinitely. Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2023-02-15_07_07_57-10014613229984620104?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://gradle.com/s/slg7ggo364lke
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 #904
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/904/display/redirect?page=changes>
Changes:
[xqhu] Ignore flags for beam_sql magic
[xqhu] Raise the error when some functions are misused
[xqhu] change how to import
[noreply] Add WatchFilePattern (#25393)
[noreply] Support gauge metrics in portable mode (#25396)
[noreply] Validate that GBK coders are always set correctly. (#25394)
[noreply] Fix tox error running hdfsIntegrationTest (#25446)
[noreply] Adding support for DLQ for ZetaSQL (#25426)
[noreply] Remove python 3.6 references (#25445)
[noreply] Fix pulling licenses (#25456)
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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-2.46.0.dev0-py3-none-any.whl size=3013053 sha256=7f97bad70360ad4f10b9deccdc893654556599954efc72d481c3eaac24fa6af0
Stored in directory: /home/jenkins/.cache/pip/wheels/e6/1f/28/9337974c607f5f016ef124646a645ebf2fb34bdd32df5f9dd8
Successfully built apache-beam
Installing collected packages: sortedcontainers, pytz, pyasn1, parameterized, docopt, crcmod, charset-normalizer, zstandard, wrapt, websocket-client, urllib3, tomli, threadpoolctl, tenacity, sqlparse, scipy, rsa, regex, pyyaml, python-dateutil, pyparsing, pymysql, pymongo, PyJWT, pyhamcrest, pycparser, pyasn1-modules, pyarrow, psycopg2-binary, proto-plus, portalocker, pbr, overrides, orjson, objsize, oauthlib, joblib, jmespath, isodate, iniconfig, idna, greenlet, googleapis-common-protos, google-crc32c, fasteners, fastavro, execnet, exceptiongroup, dill, deprecation, cloudpickle, certifi, cachetools, attrs, sqlalchemy, scikit-learn, requests, pydot, pandas, mock, hypothesis, httplib2, grpcio-status, google-resumable-media, google-auth, freezegun, cffi, botocore, s3transfer, requests-oauthlib, requests_mock, pytest, oauth2client, hdfs, grpc-google-iam-v1, google-auth-httplib2, google-api-core, docker, cryptography, azure-core, testcontainers, pytest-timeout, pytest-forked, msrest, google-cloud-core, google-apitools, boto3, apache-beam, pytest-xdist, msal, google-cloud-vision, google-cloud-videointelligence, google-cloud-spanner, 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, azure-storage-blob, msal-extensions, google-cloud-pubsublite, azure-identity
Successfully installed PyJWT-2.6.0 apache-beam-2.46.0.dev0 attrs-22.2.0 azure-core-1.26.3 azure-identity-1.12.0 azure-storage-blob-12.14.1 boto3-1.26.70 botocore-1.29.70 cachetools-4.2.4 certifi-2022.12.7 cffi-1.15.1 charset-normalizer-3.0.1 cloudpickle-2.2.1 crcmod-1.7 cryptography-39.0.1 deprecation-2.1.0 dill-0.3.1.1 docker-6.0.1 docopt-0.6.2 exceptiongroup-1.1.0 execnet-1.9.0 fastavro-1.7.1 fasteners-0.18 freezegun-1.2.2 google-api-core-2.11.0 google-apitools-0.5.31 google-auth-2.16.0 google-auth-httplib2-0.1.0 google-cloud-bigquery-3.5.0 google-cloud-bigquery-storage-2.16.2 google-cloud-bigtable-1.7.3 google-cloud-core-2.3.2 google-cloud-datastore-1.15.5 google-cloud-dlp-3.11.1 google-cloud-language-1.3.2 google-cloud-pubsub-2.14.1 google-cloud-pubsublite-1.6.0 google-cloud-recommendations-ai-0.7.1 google-cloud-spanner-3.27.1 google-cloud-videointelligence-1.16.3 google-cloud-vision-3.3.1 google-crc32c-1.5.0 google-resumable-media-2.4.1 googleapis-common-protos-1.58.0 greenlet-2.0.2 grpc-google-iam-v1-0.12.6 grpcio-status-1.48.2 hdfs-2.7.0 httplib2-0.21.0 hypothesis-6.68.1 idna-3.4 iniconfig-2.0.0 isodate-0.6.1 jmespath-1.0.1 joblib-1.2.0 mock-2.0.0 msal-1.21.0 msal-extensions-1.0.0 msrest-0.7.1 oauth2client-4.1.3 oauthlib-3.2.2 objsize-0.6.1 orjson-3.8.6 overrides-6.5.0 pandas-1.3.5 parameterized-0.8.1 pbr-5.11.1 portalocker-2.7.0 proto-plus-1.22.2 psycopg2-binary-2.9.5 pyarrow-9.0.0 pyasn1-0.4.8 pyasn1-modules-0.2.8 pycparser-2.21 pydot-1.4.2 pyhamcrest-1.10.1 pymongo-3.13.0 pymysql-1.0.2 pyparsing-3.0.9 pytest-7.2.1 pytest-forked-1.6.0 pytest-timeout-2.1.0 pytest-xdist-2.5.0 python-dateutil-2.8.2 pytz-2022.7.1 pyyaml-6.0 regex-2022.10.31 requests-2.28.2 requests-oauthlib-1.3.1 requests_mock-1.10.0 rsa-4.9 s3transfer-0.6.0 scikit-learn-1.0.2 scipy-1.7.3 sortedcontainers-2.4.0 sqlalchemy-1.4.46 sqlparse-0.4.3 tenacity-5.1.5 testcontainers-3.7.1 threadpoolctl-3.1.0 tomli-2.0.1 urllib3-1.26.14 websocket-client-1.5.1 wrapt-1.14.1 zstandard-0.19.0
> 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:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.46.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/python37-fnapi:beam-master-20230126
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/python37-fnapi:beam-master-20230126" 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-1-0214150235.1676387292.587932/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-1-0214150235.1676387292.587932/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-1-0214150235.1676387292.587932/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-1-0214150235.1676387292.587932/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20230214150812588980-6820'
createTime: '2023-02-14T15:08:13.693346Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2023-02-14_07_08_13-17476471195205100016'
location: 'us-central1'
name: 'load-tests-python-dataflow-streaming-combine-1-0214150235'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2023-02-14T15:08:13.693346Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-02-14_07_08_13-17476471195205100016]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-02-14_07_08_13-17476471195205100016
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-02-14_07_08_13-17476471195205100016?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-02-14_07_08_13-17476471195205100016 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-14T15:08:19.010Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-a.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-14T15:08:20.316Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-14T15:08:20.373Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-14T15:08:20.446Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-14T15:08:20.541Z: JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-14T15:08:20.584Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write steps
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-14T15:08:20.648Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-14T15:08:20.716Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-14T15:08:20.770Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-14T15:08:20.810Z: JOB_MESSAGE_DETAILED: Fusing consumer Read synthetic/Map(<lambda at iobase.py:908>) into Read synthetic/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-14T15:08:20.853Z: 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:2023-02-14T15:08:20.885Z: 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:2023-02-14T15:08:20.922Z: 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:2023-02-14T15:08:20.954Z: JOB_MESSAGE_DETAILED: Fusing consumer Combine with Top 0/KeyWithVoid into Measure time: Start
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-14T15:08:20.990Z: 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:2023-02-14T15:08:21.034Z: 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:2023-02-14T15:08:21.073Z: 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:2023-02-14T15:08:21.106Z: 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:2023-02-14T15:08:21.140Z: 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:2023-02-14T15:08:21.188Z: JOB_MESSAGE_DETAILED: Fusing consumer Consume 0 into Combine with Top 0/UnKey
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-14T15:08:21.225Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure time: End 0 into Consume 0
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-14T15:08:21.335Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-14T15:08:21.380Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-14T15:08:21.426Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-14T15:08:21.463Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-14T15:08:21.505Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-14T15:08:22.600Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-14T15:08:22.641Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-14T15:08:22.670Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-a...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-02-14_07_08_13-17476471195205100016 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-14T15:08:32.917Z: 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:2023-02-14T15:09:01.572Z: 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:2023-02-14T15:09:33.245Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-14T15:09:45.260Z: JOB_MESSAGE_DETAILED: All ****s have finished the startup processes and began to receive work requests.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-14T15:50:49.877Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-14T15:51:51.361Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-14T15:53:59.599Z: 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:2023-02-14T15:54:54.235Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-14T16:22:15.174Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-14T16:35:52.467Z: 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:2023-02-14T16:36:57.255Z: 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:2023-02-14T16:38:58.298Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-14T16:56:56.102Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-14T17:08:01.254Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-14T17:17:58.523Z: 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:2023-02-14T17:18:59.564Z: 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:2023-02-14T17:30:01.307Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-14T17:33:02.304Z: 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:2023-02-14T17:50:03.512Z: 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:2023-02-14T17:57:04.356Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-14T18:01:05.779Z: 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:2023-02-14T18:10:07.256Z: 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:2023-02-14T18:23:08.391Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-14T18:26:09.469Z: 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:2023-02-14T18:30:10.937Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-14T18:44:11.766Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-14T18:53:12.561Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-14T18:54:13.686Z: 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:2023-02-14T19:05:14.502Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-14T19:18:16.242Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-14T19:23:17.046Z: 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:2023-02-14T19:26:18.057Z: 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:2023-02-14T19:38:19.107Z: 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:2023-02-14T19:44:20.220Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-14T19:57:21.011Z: 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.
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INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-14T20:10:23.644Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-14T20:11:24.505Z: 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:Job 2023-02-14_07_08_13-17476471195205100016 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-14T20:18:33.322Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2023-02-14_07_08_13-17476471195205100016.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-14T20:18:33.350Z: JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-14T20:18:33.385Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-14T20:18:33.406Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-14T20:18:33.437Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-14T20:18:33.458Z: JOB_MESSAGE_BASIC: Stopping **** pool...
Traceback (most recent call last):
File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
"__main__", mod_spec)
File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
exec(code, run_globals)
File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/combine_test.py",> line 129, in <module>
CombineTest().run()
File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 152, in run
state = self.result.wait_until_finish(duration=self.timeout_ms)
File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/apache_beam/runners/dataflow/dataflow_runner.py",> line 1547, in wait_until_finish
'{}'.format(consoleUrl))
AssertionError: Job did not reach to a terminal state after waiting indefinitely. Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2023-02-14_07_08_13-17476471195205100016?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 5h 12m 31s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date
Publishing build scan...
https://gradle.com/s/bfnawm3z765u4
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 #903
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/903/display/redirect?page=changes>
Changes:
[noreply] (#25316) Enable LZMA compression in Python SDK I/O (#25317)
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Building wheels for collected packages: apache-beam
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Successfully built apache-beam
Installing collected packages: sortedcontainers, pytz, pyasn1, parameterized, docopt, crcmod, charset-normalizer, zstandard, wrapt, websocket-client, urllib3, tomli, threadpoolctl, tenacity, sqlparse, scipy, rsa, regex, pyyaml, python-dateutil, pyparsing, pymysql, pymongo, PyJWT, pyhamcrest, pycparser, pyasn1-modules, pyarrow, psycopg2-binary, proto-plus, portalocker, pbr, overrides, orjson, objsize, oauthlib, joblib, jmespath, isodate, iniconfig, idna, greenlet, googleapis-common-protos, google-crc32c, fasteners, fastavro, execnet, exceptiongroup, dill, deprecation, cloudpickle, certifi, cachetools, attrs, sqlalchemy, scikit-learn, requests, pydot, pandas, mock, hypothesis, httplib2, grpcio-status, google-resumable-media, google-auth, freezegun, cffi, botocore, s3transfer, requests-oauthlib, requests_mock, pytest, oauth2client, hdfs, grpc-google-iam-v1, google-auth-httplib2, google-api-core, docker, cryptography, azure-core, testcontainers, pytest-timeout, pytest-forked, msrest, google-cloud-core, google-apitools, boto3, apache-beam, pytest-xdist, msal, google-cloud-vision, google-cloud-videointelligence, google-cloud-spanner, 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, azure-storage-blob, msal-extensions, google-cloud-pubsublite, azure-identity
Successfully installed PyJWT-2.6.0 apache-beam-2.46.0.dev0 attrs-22.2.0 azure-core-1.26.3 azure-identity-1.12.0 azure-storage-blob-12.14.1 boto3-1.26.69 botocore-1.29.69 cachetools-4.2.4 certifi-2022.12.7 cffi-1.15.1 charset-normalizer-3.0.1 cloudpickle-2.2.1 crcmod-1.7 cryptography-39.0.1 deprecation-2.1.0 dill-0.3.1.1 docker-6.0.1 docopt-0.6.2 exceptiongroup-1.1.0 execnet-1.9.0 fastavro-1.7.1 fasteners-0.18 freezegun-1.2.2 google-api-core-2.11.0 google-apitools-0.5.31 google-auth-2.16.0 google-auth-httplib2-0.1.0 google-cloud-bigquery-3.5.0 google-cloud-bigquery-storage-2.16.2 google-cloud-bigtable-1.7.3 google-cloud-core-2.3.2 google-cloud-datastore-1.15.5 google-cloud-dlp-3.11.1 google-cloud-language-1.3.2 google-cloud-pubsub-2.14.1 google-cloud-pubsublite-1.6.0 google-cloud-recommendations-ai-0.7.1 google-cloud-spanner-3.27.1 google-cloud-videointelligence-1.16.3 google-cloud-vision-3.3.1 google-crc32c-1.5.0 google-resumable-media-2.4.1 googleapis-common-protos-1.58.0 greenlet-2.0.2 grpc-google-iam-v1-0.12.6 grpcio-status-1.48.2 hdfs-2.7.0 httplib2-0.21.0 hypothesis-6.68.1 idna-3.4 iniconfig-2.0.0 isodate-0.6.1 jmespath-1.0.1 joblib-1.2.0 mock-2.0.0 msal-1.21.0 msal-extensions-1.0.0 msrest-0.7.1 oauth2client-4.1.3 oauthlib-3.2.2 objsize-0.6.1 orjson-3.8.6 overrides-6.5.0 pandas-1.3.5 parameterized-0.8.1 pbr-5.11.1 portalocker-2.7.0 proto-plus-1.22.2 psycopg2-binary-2.9.5 pyarrow-9.0.0 pyasn1-0.4.8 pyasn1-modules-0.2.8 pycparser-2.21 pydot-1.4.2 pyhamcrest-1.10.1 pymongo-3.13.0 pymysql-1.0.2 pyparsing-3.0.9 pytest-7.2.1 pytest-forked-1.6.0 pytest-timeout-2.1.0 pytest-xdist-2.5.0 python-dateutil-2.8.2 pytz-2022.7.1 pyyaml-6.0 regex-2022.10.31 requests-2.28.2 requests-oauthlib-1.3.1 requests_mock-1.10.0 rsa-4.9 s3transfer-0.6.0 scikit-learn-1.0.2 scipy-1.7.3 sortedcontainers-2.4.0 sqlalchemy-1.4.46 sqlparse-0.4.3 tenacity-5.1.5 testcontainers-3.7.1 threadpoolctl-3.1.0 tomli-2.0.1 urllib3-1.26.14 websocket-client-1.5.1 wrapt-1.14.1 zstandard-0.19.0
> 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:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.46.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/python37-fnapi:beam-master-20230126
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/python37-fnapi:beam-master-20230126" 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-1-0213150211.1676301385.814939/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-1-0213150211.1676301385.814939/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-1-0213150211.1676301385.814939/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-1-0213150211.1676301385.814939/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20230213151625815927-6427'
createTime: '2023-02-13T15:16:26.929847Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2023-02-13_07_16_26-7822987591622234408'
location: 'us-central1'
name: 'load-tests-python-dataflow-streaming-combine-1-0213150211'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2023-02-13T15:16:26.929847Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-02-13_07_16_26-7822987591622234408]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-02-13_07_16_26-7822987591622234408
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-02-13_07_16_26-7822987591622234408?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-02-13_07_16_26-7822987591622234408 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-13T15:16:35.501Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-a.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-13T15:16:41.931Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-13T15:16:42.879Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-13T15:16:42.948Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-13T15:16:43.025Z: JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-13T15:16:43.056Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write steps
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-13T15:16:43.123Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-13T15:16:43.189Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-13T15:16:43.236Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-13T15:16:43.257Z: JOB_MESSAGE_DETAILED: Fusing consumer Read synthetic/Map(<lambda at iobase.py:908>) into Read synthetic/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-13T15:16:43.289Z: 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:2023-02-13T15:16:43.323Z: 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:2023-02-13T15:16:43.347Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure time: Start into ref_AppliedPTransform_Read-synthetic-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/ProcessElementAndRestrictionWithSizing
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INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-13T15:16:43.410Z: 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:2023-02-13T15:16:43.441Z: JOB_MESSAGE_DETAILED: Fusing consumer Combine with Top 0/CombinePerKey/GroupByKey/WriteStream into Combine with Top 0/CombinePerKey/Combine/ConvertToAccumulators
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INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-13T15:16:43.508Z: 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:2023-02-13T15:16:43.539Z: 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:2023-02-13T15:16:43.566Z: JOB_MESSAGE_DETAILED: Fusing consumer Consume 0 into Combine with Top 0/UnKey
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-13T15:16:43.599Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure time: End 0 into Consume 0
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-13T15:16:43.719Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-13T15:16:43.754Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-13T15:16:43.784Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
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INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-13T15:16:43.874Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-13T15:16:43.983Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
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INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-13T15:16:44.052Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-a...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-02-13_07_16_26-7822987591622234408 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-13T15:17:01.673Z: 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:2023-02-13T15:17:23.381Z: 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:2023-02-13T15:17:23.419Z: JOB_MESSAGE_DETAILED: Autoscaling: Resized **** pool to 2, though goal was 5. This could be a quota issue.
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INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-13T18:42:56.351Z: JOB_MESSAGE_DETAILED: Autoscaling: 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:2023-02-13T20:35:08.717Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 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 2023-02-13_07_16_26-7822987591622234408 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-13T20:51:09.047Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2023-02-13_07_16_26-7822987591622234408.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-13T20:51:09.092Z: JOB_MESSAGE_DETAILED: Cleaning up.
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Traceback (most recent call last):
File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
"__main__", mod_spec)
File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
exec(code, run_globals)
File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/combine_test.py",> line 129, in <module>
CombineTest().run()
File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 152, in run
state = self.result.wait_until_finish(duration=self.timeout_ms)
File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/apache_beam/runners/dataflow/dataflow_runner.py",> line 1547, in wait_until_finish
'{}'.format(consoleUrl))
AssertionError: Job did not reach to a terminal state after waiting indefinitely. Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2023-02-13_07_16_26-7822987591622234408?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 5h 37m 44s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date
Publishing build scan...
https://gradle.com/s/deidea3o25yp6
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 #902
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/902/display/redirect?page=changes>
Changes:
[noreply] Add support for loading torchscript models (#25321)
[noreply] [#24971] Add a retry policy for JmsIO #24971 (#24973)
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Stored in directory: /home/jenkins/.cache/pip/wheels/e6/1f/28/9337974c607f5f016ef124646a645ebf2fb34bdd32df5f9dd8
Successfully built apache-beam
Installing collected packages: sortedcontainers, pytz, pyasn1, parameterized, docopt, crcmod, charset-normalizer, zstandard, wrapt, websocket-client, urllib3, tomli, threadpoolctl, tenacity, sqlparse, scipy, rsa, regex, pyyaml, python-dateutil, pyparsing, pymysql, pymongo, PyJWT, pyhamcrest, pycparser, pyasn1-modules, pyarrow, psycopg2-binary, proto-plus, portalocker, pbr, overrides, orjson, objsize, oauthlib, joblib, jmespath, isodate, iniconfig, idna, greenlet, googleapis-common-protos, google-crc32c, fasteners, fastavro, execnet, exceptiongroup, dill, deprecation, cloudpickle, certifi, cachetools, attrs, sqlalchemy, scikit-learn, requests, pydot, pandas, mock, hypothesis, httplib2, grpcio-status, google-resumable-media, google-auth, freezegun, cffi, botocore, s3transfer, requests-oauthlib, requests_mock, pytest, oauth2client, hdfs, grpc-google-iam-v1, google-auth-httplib2, google-api-core, docker, cryptography, azure-core, testcontainers, pytest-timeout, pytest-forked, msrest, google-cloud-core, google-apitools, boto3, apache-beam, pytest-xdist, msal, google-cloud-vision, google-cloud-videointelligence, google-cloud-spanner, 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, azure-storage-blob, msal-extensions, google-cloud-pubsublite, azure-identity
Successfully installed PyJWT-2.6.0 apache-beam-2.46.0.dev0 attrs-22.2.0 azure-core-1.26.3 azure-identity-1.12.0 azure-storage-blob-12.14.1 boto3-1.26.69 botocore-1.29.69 cachetools-4.2.4 certifi-2022.12.7 cffi-1.15.1 charset-normalizer-3.0.1 cloudpickle-2.2.1 crcmod-1.7 cryptography-39.0.1 deprecation-2.1.0 dill-0.3.1.1 docker-6.0.1 docopt-0.6.2 exceptiongroup-1.1.0 execnet-1.9.0 fastavro-1.7.1 fasteners-0.18 freezegun-1.2.2 google-api-core-2.11.0 google-apitools-0.5.31 google-auth-2.16.0 google-auth-httplib2-0.1.0 google-cloud-bigquery-3.5.0 google-cloud-bigquery-storage-2.16.2 google-cloud-bigtable-1.7.3 google-cloud-core-2.3.2 google-cloud-datastore-1.15.5 google-cloud-dlp-3.11.1 google-cloud-language-1.3.2 google-cloud-pubsub-2.14.1 google-cloud-pubsublite-1.6.0 google-cloud-recommendations-ai-0.7.1 google-cloud-spanner-3.27.1 google-cloud-videointelligence-1.16.3 google-cloud-vision-3.3.1 google-crc32c-1.5.0 google-resumable-media-2.4.1 googleapis-common-protos-1.58.0 greenlet-2.0.2 grpc-google-iam-v1-0.12.6 grpcio-status-1.48.2 hdfs-2.7.0 httplib2-0.21.0 hypothesis-6.68.1 idna-3.4 iniconfig-2.0.0 isodate-0.6.1 jmespath-1.0.1 joblib-1.2.0 mock-2.0.0 msal-1.21.0 msal-extensions-1.0.0 msrest-0.7.1 oauth2client-4.1.3 oauthlib-3.2.2 objsize-0.6.1 orjson-3.8.6 overrides-6.5.0 pandas-1.3.5 parameterized-0.8.1 pbr-5.11.1 portalocker-2.7.0 proto-plus-1.22.2 psycopg2-binary-2.9.5 pyarrow-9.0.0 pyasn1-0.4.8 pyasn1-modules-0.2.8 pycparser-2.21 pydot-1.4.2 pyhamcrest-1.10.1 pymongo-3.13.0 pymysql-1.0.2 pyparsing-3.0.9 pytest-7.2.1 pytest-forked-1.4.0 pytest-timeout-2.1.0 pytest-xdist-2.5.0 python-dateutil-2.8.2 pytz-2022.7.1 pyyaml-6.0 regex-2022.10.31 requests-2.28.2 requests-oauthlib-1.3.1 requests_mock-1.10.0 rsa-4.9 s3transfer-0.6.0 scikit-learn-1.0.2 scipy-1.7.3 sortedcontainers-2.4.0 sqlalchemy-1.4.46 sqlparse-0.4.3 tenacity-5.1.5 testcontainers-3.7.1 threadpoolctl-3.1.0 tomli-2.0.1 urllib3-1.26.14 websocket-client-1.5.1 wrapt-1.14.1 zstandard-0.19.0
> 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:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.46.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/python37-fnapi:beam-master-20230126
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/python37-fnapi:beam-master-20230126" 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-1-0212150209.1676214473.144270/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-1-0212150209.1676214473.144270/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-1-0212150209.1676214473.144270/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-1-0212150209.1676214473.144270/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20230212150753145302-7750'
createTime: '2023-02-12T15:07:54.233392Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2023-02-12_07_07_53-6784897962282323209'
location: 'us-central1'
name: 'load-tests-python-dataflow-streaming-combine-1-0212150209'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2023-02-12T15:07:54.233392Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2023-02-12_07_07_53-6784897962282323209]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2023-02-12_07_07_53-6784897962282323209
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2023-02-12_07_07_53-6784897962282323209?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-02-12_07_07_53-6784897962282323209 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-12T15:07:58.596Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-a.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-12T15:07:59.831Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-12T15:07:59.870Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-12T15:07:59.925Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-12T15:07:59.992Z: JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-12T15:08:00.028Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write steps
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-12T15:08:00.085Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-12T15:08:00.156Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-12T15:08:00.199Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-12T15:08:00.226Z: JOB_MESSAGE_DETAILED: Fusing consumer Read synthetic/Map(<lambda at iobase.py:908>) into Read synthetic/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-12T15:08:00.247Z: 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:2023-02-12T15:08:00.278Z: 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:2023-02-12T15:08:00.306Z: 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:2023-02-12T15:08:00.336Z: JOB_MESSAGE_DETAILED: Fusing consumer Combine with Top 0/KeyWithVoid into Measure time: Start
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-12T15:08:00.367Z: 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:2023-02-12T15:08:00.395Z: 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:2023-02-12T15:08:00.426Z: 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:2023-02-12T15:08:00.449Z: 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:2023-02-12T15:08:00.472Z: 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:2023-02-12T15:08:00.507Z: JOB_MESSAGE_DETAILED: Fusing consumer Consume 0 into Combine with Top 0/UnKey
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-12T15:08:00.538Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure time: End 0 into Consume 0
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-12T15:08:00.638Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-12T15:08:00.676Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-12T15:08:00.704Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-12T15:08:00.738Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-12T15:08:00.771Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-12T15:08:01.843Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-12T15:08:01.880Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-a...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-12T15:08:01.909Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2023-02-12_07_07_53-6784897962282323209 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-12T15:08:12.805Z: 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:2023-02-12T15:08:47.416Z: 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:2023-02-12T15:09:17.225Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-12T15:09:28.900Z: JOB_MESSAGE_DETAILED: All ****s have finished the startup processes and began to receive work requests.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-12T15:52:59.398Z: 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:2023-02-12T15:54:13.259Z: 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:2023-02-12T15:55:12.717Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-12T16:27:13.449Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-12T16:30:20.687Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-12T16:58:15.055Z: 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:2023-02-12T17:17:17.459Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-12T17:34:13.277Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-12T17:53:14.460Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-12T18:11:25.241Z: 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:2023-02-12T18:30:28.434Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-12T18:47:30.929Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-12T19:04:32.179Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-12T19:07:26.341Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-12T19:23:35.528Z: 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:2023-02-12T19:25:31.009Z: 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:2023-02-12T19:39:41.820Z: 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:2023-02-12T19:54:34.254Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 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 2023-02-12_07_07_53-6784897962282323209 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-12T20:01:08.940Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2023-02-12_07_07_53-6784897962282323209.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-12T20:01:08.969Z: JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-12T20:01:09.071Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-12T20:01:09.093Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-12T20:01:09.114Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-02-12T20:01:09.138Z: JOB_MESSAGE_BASIC: Stopping **** pool...
Traceback (most recent call last):
File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
"__main__", mod_spec)
File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
exec(code, run_globals)
File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/combine_test.py",> line 129, in <module>
CombineTest().run()
File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 152, in run
state = self.result.wait_until_finish(duration=self.timeout_ms)
File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/apache_beam/runners/dataflow/dataflow_runner.py",> line 1547, in wait_until_finish
'{}'.format(consoleUrl))
AssertionError: Job did not reach to a terminal state after waiting indefinitely. Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2023-02-12_07_07_53-6784897962282323209?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://gradle.com/s/lv45d26v2lvnw
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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