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Build failed in Jenkins: beam_LoadTests_Python_Combine_Dataflow_Streaming #749
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/749/display/redirect?page=changes>
Changes:
[noreply] [TPC-DS] Use common queries argument for Jenkins jobs (#23139)
[noreply] pubsublite: Reduce commit logspam (#22762)
[noreply] Added documentation in ACTIONS.md file (#23159)
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Building wheels for collected packages: apache-beam
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Successfully built apache-beam
Installing collected packages: pytz, pyasn1, parameterized, iniconfig, docopt, crcmod, zstandard, wrapt, websocket-client, urllib3, typing-extensions, tomli, threadpoolctl, tenacity, rsa, regex, pyyaml, python-dateutil, pymysql, pymongo, pyhamcrest, pydot, pycparser, pyasn1-modules, psycopg2-binary, proto-plus, pbr, overrides, orjson, objsize, oauthlib, numpy, joblib, jmespath, isodate, idna, httplib2, greenlet, googleapis-common-protos, google-crc32c, fasteners, fastavro, execnet, dill, cloudpickle, charset-normalizer, certifi, cachetools, attrs, sqlalchemy, scipy, requests, pyarrow, pandas, oauth2client, mock, grpcio-status, grpcio-gcp, google-resumable-media, google-auth, freezegun, deprecation, cffi, botocore, scikit-learn, s3transfer, requests-oauthlib, requests_mock, pytest, hdfs, grpc-google-iam-v1, google-auth-httplib2, google-apitools, google-api-core, docker, cryptography, azure-core, testcontainers, pytest-timeout, pytest-forked, msrest, google-cloud-core, boto3, apache-beam, pytest-xdist, 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, google-cloud-pubsublite
Successfully installed apache-beam-2.43.0.dev0 attrs-22.1.0 azure-core-1.25.1 azure-storage-blob-12.13.1 boto3-1.24.70 botocore-1.27.70 cachetools-4.2.4 certifi-2022.6.15.1 cffi-1.15.1 charset-normalizer-2.1.1 cloudpickle-2.2.0 crcmod-1.7 cryptography-38.0.1 deprecation-2.1.0 dill-0.3.1.1 docker-6.0.0 docopt-0.6.2 execnet-1.9.0 fastavro-1.6.1 fasteners-0.17.3 freezegun-1.2.2 google-api-core-2.10.0 google-apitools-0.5.31 google-auth-2.11.0 google-auth-httplib2-0.1.0 google-cloud-bigquery-2.34.4 google-cloud-bigquery-storage-2.13.2 google-cloud-bigtable-1.7.2 google-cloud-core-2.3.2 google-cloud-datastore-1.15.5 google-cloud-dlp-3.9.0 google-cloud-language-1.3.2 google-cloud-pubsub-2.13.6 google-cloud-pubsublite-1.4.3 google-cloud-recommendations-ai-0.7.1 google-cloud-spanner-1.19.3 google-cloud-videointelligence-1.16.3 google-cloud-vision-1.0.2 google-crc32c-1.5.0 google-resumable-media-2.3.3 googleapis-common-protos-1.56.4 greenlet-1.1.3 grpc-google-iam-v1-0.12.4 grpcio-gcp-0.2.2 grpcio-status-1.48.1 hdfs-2.7.0 httplib2-0.20.4 idna-3.3 iniconfig-1.1.1 isodate-0.6.1 jmespath-1.0.1 joblib-1.1.0 mock-2.0.0 msrest-0.7.1 numpy-1.21.6 oauth2client-4.1.3 oauthlib-3.2.1 objsize-0.5.2 orjson-3.8.0 overrides-6.2.0 pandas-1.3.5 parameterized-0.8.1 pbr-5.10.0 proto-plus-1.22.1 psycopg2-binary-2.9.3 pyarrow-7.0.0 pyasn1-0.4.8 pyasn1-modules-0.2.8 pycparser-2.21 pydot-1.4.2 pyhamcrest-1.10.1 pymongo-3.12.3 pymysql-1.0.2 pytest-7.1.3 pytest-forked-1.4.0 pytest-timeout-2.1.0 pytest-xdist-2.5.0 python-dateutil-2.8.2 pytz-2022.2.1 pyyaml-6.0 regex-2022.9.11 requests-2.28.1 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 sqlalchemy-1.4.41 tenacity-5.1.5 testcontainers-3.6.1 threadpoolctl-3.1.0 tomli-2.0.1 typing-extensions-4.3.0 urllib3-1.26.12 websocket-client-1.4.1 wrapt-1.14.1 zstandard-0.18.0
> 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:2.43.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/python37-fnapi:beam-master-20220811
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/python37-fnapi:beam-master-20220811" 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-1-0912150203.1662995256.279224/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-1-0912150203.1662995256.279224/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-1-0912150203.1662995256.279224/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-1-0912150203.1662995256.279224/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20220912150736280214-2547'
createTime: '2022-09-12T15:07:37.235017Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2022-09-12_08_07_36-3693415065776490579'
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name: 'load-tests-python-dataflow-streaming-combine-1-0912150203'
projectId: 'apache-beam-testing'
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startTime: '2022-09-12T15:07:37.235017Z'
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INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2022-09-12_08_07_36-3693415065776490579]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2022-09-12_08_07_36-3693415065776490579
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2022-09-12_08_07_36-3693415065776490579?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-09-12_08_07_36-3693415065776490579 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-12T15:07:41.518Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-a.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-12T15:07:43.108Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-12T15:07:43.139Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-12T15:07:43.219Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-12T15:07:43.291Z: JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-12T15:07:43.310Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write steps
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-12T15:07:43.363Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-12T15:07:43.403Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-12T15:07:43.439Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-12T15:07:43.458Z: JOB_MESSAGE_DETAILED: Fusing consumer Read synthetic/Map(<lambda at iobase.py:908>) into Read synthetic/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-12T15:07:43.480Z: JOB_MESSAGE_DETAILED: Fusing consumer ref_AppliedPTransform_Read-synthetic-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction into Read synthetic/Map(<lambda at iobase.py:908>)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-12T15:07:43.502Z: JOB_MESSAGE_DETAILED: Fusing consumer ref_AppliedPTransform_Read-synthetic-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/SplitWithSizing into ref_AppliedPTransform_Read-synthetic-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-12T15:07:43.534Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure time: Start into ref_AppliedPTransform_Read-synthetic-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/ProcessElementAndRestrictionWithSizing
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-12T15:07:43.592Z: JOB_MESSAGE_DETAILED: Fusing consumer Combine with Top 0/KeyWithVoid into Measure time: Start
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-12T15:07:43.625Z: JOB_MESSAGE_DETAILED: Fusing consumer Combine with Top 0/CombinePerKey/Combine/ConvertToAccumulators into Combine with Top 0/KeyWithVoid
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-12T15:07:43.660Z: JOB_MESSAGE_DETAILED: Fusing consumer Combine with Top 0/CombinePerKey/GroupByKey/WriteStream into Combine with Top 0/CombinePerKey/Combine/ConvertToAccumulators
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-12T15:07:43.724Z: JOB_MESSAGE_DETAILED: Fusing consumer Combine with Top 0/CombinePerKey/Combine into Combine with Top 0/CombinePerKey/GroupByKey/ReadStream
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-12T15:07:43.754Z: JOB_MESSAGE_DETAILED: Fusing consumer Combine with Top 0/CombinePerKey/Combine/Extract into Combine with Top 0/CombinePerKey/Combine
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-12T15:07:43.791Z: JOB_MESSAGE_DETAILED: Fusing consumer Combine with Top 0/UnKey into Combine with Top 0/CombinePerKey/Combine/Extract
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-12T15:07:43.825Z: JOB_MESSAGE_DETAILED: Fusing consumer Consume 0 into Combine with Top 0/UnKey
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-12T15:07:43.869Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure time: End 0 into Consume 0
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-12T15:07:43.944Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-12T15:07:43.979Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-12T15:07:44.010Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-12T15:07:44.031Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-12T15:07:44.054Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-12T15:07:44.118Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-12T15:07:44.156Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-12T15:07:44.190Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-a...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-09-12_08_07_36-3693415065776490579 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-12T15:07:51.763Z: JOB_MESSAGE_BASIC: Your project already contains 100 Dataflow-created metric descriptors, so new user metrics of the form custom.googleapis.com/* will not be created. However, all user metrics are also available in the metric dataflow.googleapis.com/job/user_counter. If you rely on the custom metrics, you can delete old / unused metric descriptors. See https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.list and https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.delete
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-12T15:08:19.043Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
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INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-09-12_08_07_36-3693415065776490579 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-12T20:01:29.800Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2022-09-12_08_07_36-3693415065776490579.
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INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-12T20:01:29.986Z: JOB_MESSAGE_BASIC: Stopping **** pool...
Traceback (most recent call last):
File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
"__main__", mod_spec)
File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
exec(code, run_globals)
File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/combine_test.py",> line 129, in <module>
CombineTest().run()
File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
self.result.wait_until_finish(duration=self.timeout_ms)
File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/apache_beam/runners/dataflow/dataflow_runner.py",> line 1665, in wait_until_finish
'{}'.format(consoleUrl))
AssertionError: Job did not reach to a terminal state after waiting indefinitely. Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2022-09-12_08_07_36-3693415065776490579?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: 70
* 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 11s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date
Publishing build scan...
https://gradle.com/s/7zk2qo4yxghji
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/754/display/redirect?page=changes>
Changes:
[noreply] TensorRT Initial commit (#22131)
[noreply] Fix Kafka performance test sourceOption to match expected hash (#23274)
[noreply] updated the pydoc for running a custom model on Beam (#23218)
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Successfully built apache-beam
Installing collected packages: sortedcontainers, pytz, pyasn1, parameterized, iniconfig, docopt, crcmod, zstandard, wrapt, websocket-client, urllib3, typing-extensions, tomli, threadpoolctl, tenacity, rsa, regex, pyyaml, python-dateutil, pymysql, pymongo, pyhamcrest, pydot, pycparser, pyasn1-modules, psycopg2-binary, proto-plus, pbr, overrides, orjson, objsize, oauthlib, numpy, joblib, jmespath, isodate, idna, httplib2, greenlet, googleapis-common-protos, google-crc32c, fasteners, fastavro, execnet, exceptiongroup, dill, cloudpickle, charset-normalizer, certifi, cachetools, attrs, sqlalchemy, scipy, requests, pyarrow, pandas, oauth2client, mock, hypothesis, grpcio-status, grpcio-gcp, google-resumable-media, google-auth, freezegun, deprecation, cffi, botocore, scikit-learn, s3transfer, requests-oauthlib, requests_mock, pytest, hdfs, grpc-google-iam-v1, google-auth-httplib2, google-apitools, google-api-core, docker, cryptography, azure-core, testcontainers, pytest-timeout, pytest-forked, msrest, google-cloud-core, boto3, apache-beam, pytest-xdist, 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, azure-storage-blob, google-cloud-pubsublite, google-cloud-bigquery
Successfully installed apache-beam-2.43.0.dev0 attrs-22.1.0 azure-core-1.25.1 azure-storage-blob-12.13.1 boto3-1.24.75 botocore-1.27.75 cachetools-4.2.4 certifi-2022.9.14 cffi-1.15.1 charset-normalizer-2.1.1 cloudpickle-2.2.0 crcmod-1.7 cryptography-38.0.1 deprecation-2.1.0 dill-0.3.1.1 docker-6.0.0 docopt-0.6.2 exceptiongroup-1.0.0rc9 execnet-1.9.0 fastavro-1.6.1 fasteners-0.18 freezegun-1.2.2 google-api-core-2.10.1 google-apitools-0.5.31 google-auth-2.11.0 google-auth-httplib2-0.1.0 google-cloud-bigquery-3.3.2 google-cloud-bigquery-storage-2.13.2 google-cloud-bigtable-1.7.2 google-cloud-core-2.3.2 google-cloud-datastore-1.15.5 google-cloud-dlp-3.9.0 google-cloud-language-1.3.2 google-cloud-pubsub-2.13.6 google-cloud-pubsublite-1.4.3 google-cloud-recommendations-ai-0.7.1 google-cloud-spanner-1.19.3 google-cloud-videointelligence-1.16.3 google-cloud-vision-1.0.2 google-crc32c-1.5.0 google-resumable-media-2.3.3 googleapis-common-protos-1.56.4 greenlet-1.1.3 grpc-google-iam-v1-0.12.4 grpcio-gcp-0.2.2 grpcio-status-1.48.1 hdfs-2.7.0 httplib2-0.20.4 hypothesis-6.54.5 idna-3.4 iniconfig-1.1.1 isodate-0.6.1 jmespath-1.0.1 joblib-1.2.0 mock-2.0.0 msrest-0.7.1 numpy-1.21.6 oauth2client-4.1.3 oauthlib-3.2.1 objsize-0.5.2 orjson-3.8.0 overrides-6.2.0 pandas-1.3.5 parameterized-0.8.1 pbr-5.10.0 proto-plus-1.22.1 psycopg2-binary-2.9.3 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-3.12.3 pymysql-1.0.2 pytest-7.1.3 pytest-forked-1.4.0 pytest-timeout-2.1.0 pytest-xdist-2.5.0 python-dateutil-2.8.2 pytz-2022.2.1 pyyaml-6.0 regex-2022.9.13 requests-2.28.1 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-1.4.41 tenacity-5.1.5 testcontainers-3.6.1 threadpoolctl-3.1.0 tomli-2.0.1 typing-extensions-4.3.0 urllib3-1.26.12 websocket-client-1.4.1 wrapt-1.14.1 zstandard-0.18.0
> 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:2.43.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/python37-fnapi:beam-master-20220914
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/python37-fnapi:beam-master-20220914" 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-1-0917150155.1663427266.440578/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-1-0917150155.1663427266.440578/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-1-0917150155.1663427266.440578/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-1-0917150155.1663427266.440578/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20220917150746441534-1086'
createTime: '2022-09-17T15:07:47.572158Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2022-09-17_08_07_46-12797375749940839906'
location: 'us-central1'
name: 'load-tests-python-dataflow-streaming-combine-1-0917150155'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2022-09-17T15:07:47.572158Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2022-09-17_08_07_46-12797375749940839906]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2022-09-17_08_07_46-12797375749940839906
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2022-09-17_08_07_46-12797375749940839906?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-09-17_08_07_46-12797375749940839906 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-17T15:07:53.970Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-a.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-17T15:07:54.976Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-17T15:07:55Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-17T15:07:55.071Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-17T15:07:55.167Z: JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-17T15:07:55.245Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write steps
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-17T15:07:55.302Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-17T15:07:55.361Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-17T15:07:55.414Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-17T15:07:55.469Z: JOB_MESSAGE_DETAILED: Fusing consumer Read synthetic/Map(<lambda at iobase.py:908>) into Read synthetic/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-17T15:07:55.514Z: JOB_MESSAGE_DETAILED: Fusing consumer ref_AppliedPTransform_Read-synthetic-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction into Read synthetic/Map(<lambda at iobase.py:908>)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-17T15:07:55.540Z: JOB_MESSAGE_DETAILED: Fusing consumer ref_AppliedPTransform_Read-synthetic-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/SplitWithSizing into ref_AppliedPTransform_Read-synthetic-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-17T15:07:55.591Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure time: Start into ref_AppliedPTransform_Read-synthetic-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/ProcessElementAndRestrictionWithSizing
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-17T15:07:55.629Z: JOB_MESSAGE_DETAILED: Fusing consumer Combine with Top 0/KeyWithVoid into Measure time: Start
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-17T15:07:55.661Z: JOB_MESSAGE_DETAILED: Fusing consumer Combine with Top 0/CombinePerKey/Combine/ConvertToAccumulators into Combine with Top 0/KeyWithVoid
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-17T15:07:55.711Z: JOB_MESSAGE_DETAILED: Fusing consumer Combine with Top 0/CombinePerKey/GroupByKey/WriteStream into Combine with Top 0/CombinePerKey/Combine/ConvertToAccumulators
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-17T15:07:55.753Z: JOB_MESSAGE_DETAILED: Fusing consumer Combine with Top 0/CombinePerKey/Combine into Combine with Top 0/CombinePerKey/GroupByKey/ReadStream
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-17T15:07:55.783Z: JOB_MESSAGE_DETAILED: Fusing consumer Combine with Top 0/CombinePerKey/Combine/Extract into Combine with Top 0/CombinePerKey/Combine
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-17T15:07:55.839Z: JOB_MESSAGE_DETAILED: Fusing consumer Combine with Top 0/UnKey into Combine with Top 0/CombinePerKey/Combine/Extract
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-17T15:07:55.879Z: JOB_MESSAGE_DETAILED: Fusing consumer Consume 0 into Combine with Top 0/UnKey
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-17T15:07:55.923Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure time: End 0 into Consume 0
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-17T15:07:56.050Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-17T15:07:56.099Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-17T15:07:56.135Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-17T15:07:56.180Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-17T15:07:56.258Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-17T15:07:56.331Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-17T15:07:56.368Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-17T15:07:56.407Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-a...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-09-17_08_07_46-12797375749940839906 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-17T15:08:27.843Z: JOB_MESSAGE_BASIC: Your project already contains 100 Dataflow-created metric descriptors, so new user metrics of the form custom.googleapis.com/* will not be created. However, all user metrics are also available in the metric dataflow.googleapis.com/job/user_counter. If you rely on the custom metrics, you can delete old / unused metric descriptors. See https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.list and https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.delete
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-17T15:08:37.857Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-17T15:09:04.740Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-17T16:08:21.136Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-17T16:58:23.503Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-17T17:52:26.274Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-17T18:45:26.776Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-17T19:35:29.092Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-09-17_08_07_46-12797375749940839906 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-17T20:00:56.653Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2022-09-17_08_07_46-12797375749940839906.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-17T20:00:56.689Z: JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-17T20:00:56.769Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-17T20:00:56.798Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-17T20:00:56.821Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-17T20:00:56.842Z: JOB_MESSAGE_BASIC: Stopping **** pool...
Traceback (most recent call last):
File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
"__main__", mod_spec)
File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
exec(code, run_globals)
File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/combine_test.py",> line 129, in <module>
CombineTest().run()
File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
self.result.wait_until_finish(duration=self.timeout_ms)
File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/apache_beam/runners/dataflow/dataflow_runner.py",> line 1665, in wait_until_finish
'{}'.format(consoleUrl))
AssertionError: Job did not reach to a terminal state after waiting indefinitely. Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2022-09-17_08_07_46-12797375749940839906?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: 70
* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred
* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
* Get more help at https://help.gradle.org
Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.
You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.
See https://docs.gradle.org/7.5.1/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 4h 55m 14s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date
Publishing build scan...
https://gradle.com/s/i4insp2hv2v56
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 #753
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/753/display/redirect?page=changes>
Changes:
[noreply] Revert "Exclude protobuf 3.20.2" (#23237)
[noreply] Fix outdated code in python sdk install (#23231)
[noreply] Bump up dataflow python container version to beam-master-20220914
[noreply] Improve the performance of TextSource by reducing how many byte[]s are
[noreply] Issue#21430 Avoid pruning DataframeTransforms (#23069)
[noreply] Bump cloud.google.com/go/bigquery from 1.40.0 to 1.41.0 in /sdks
[noreply] [Website] Correct spelling of structural (#23225)
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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-2.43.0.dev0-py3-none-any.whl size=2858736 sha256=1b21794a1ca7dbe98baae11f6b7978a2d4427f9a9c7e57de883452df21b415e0
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Successfully built apache-beam
Installing collected packages: sortedcontainers, pytz, pyasn1, parameterized, iniconfig, docopt, crcmod, zstandard, wrapt, websocket-client, urllib3, typing-extensions, tomli, threadpoolctl, tenacity, rsa, regex, pyyaml, python-dateutil, pymysql, pymongo, pyhamcrest, pydot, pycparser, pyasn1-modules, psycopg2-binary, proto-plus, pbr, overrides, orjson, objsize, oauthlib, numpy, joblib, jmespath, isodate, idna, httplib2, greenlet, googleapis-common-protos, google-crc32c, fasteners, fastavro, execnet, exceptiongroup, dill, cloudpickle, charset-normalizer, certifi, cachetools, attrs, sqlalchemy, scipy, requests, pyarrow, pandas, oauth2client, mock, hypothesis, grpcio-status, grpcio-gcp, google-resumable-media, google-auth, freezegun, deprecation, cffi, botocore, scikit-learn, s3transfer, requests-oauthlib, requests_mock, pytest, hdfs, grpc-google-iam-v1, google-auth-httplib2, google-apitools, google-api-core, docker, cryptography, azure-core, testcontainers, pytest-timeout, pytest-forked, msrest, google-cloud-core, boto3, apache-beam, pytest-xdist, 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, azure-storage-blob, google-cloud-pubsublite, google-cloud-bigquery
Successfully installed apache-beam-2.43.0.dev0 attrs-22.1.0 azure-core-1.25.1 azure-storage-blob-12.13.1 boto3-1.24.74 botocore-1.27.74 cachetools-4.2.4 certifi-2022.9.14 cffi-1.15.1 charset-normalizer-2.1.1 cloudpickle-2.2.0 crcmod-1.7 cryptography-38.0.1 deprecation-2.1.0 dill-0.3.1.1 docker-6.0.0 docopt-0.6.2 exceptiongroup-1.0.0rc9 execnet-1.9.0 fastavro-1.6.1 fasteners-0.18 freezegun-1.2.2 google-api-core-2.10.1 google-apitools-0.5.31 google-auth-2.11.0 google-auth-httplib2-0.1.0 google-cloud-bigquery-3.3.2 google-cloud-bigquery-storage-2.13.2 google-cloud-bigtable-1.7.2 google-cloud-core-2.3.2 google-cloud-datastore-1.15.5 google-cloud-dlp-3.9.0 google-cloud-language-1.3.2 google-cloud-pubsub-2.13.6 google-cloud-pubsublite-1.4.3 google-cloud-recommendations-ai-0.7.1 google-cloud-spanner-1.19.3 google-cloud-videointelligence-1.16.3 google-cloud-vision-1.0.2 google-crc32c-1.5.0 google-resumable-media-2.3.3 googleapis-common-protos-1.56.4 greenlet-1.1.3 grpc-google-iam-v1-0.12.4 grpcio-gcp-0.2.2 grpcio-status-1.48.1 hdfs-2.7.0 httplib2-0.20.4 hypothesis-6.54.5 idna-3.4 iniconfig-1.1.1 isodate-0.6.1 jmespath-1.0.1 joblib-1.2.0 mock-2.0.0 msrest-0.7.1 numpy-1.21.6 oauth2client-4.1.3 oauthlib-3.2.1 objsize-0.5.2 orjson-3.8.0 overrides-6.2.0 pandas-1.3.5 parameterized-0.8.1 pbr-5.10.0 proto-plus-1.22.1 psycopg2-binary-2.9.3 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-3.12.3 pymysql-1.0.2 pytest-7.1.3 pytest-forked-1.4.0 pytest-timeout-2.1.0 pytest-xdist-2.5.0 python-dateutil-2.8.2 pytz-2022.2.1 pyyaml-6.0 regex-2022.9.13 requests-2.28.1 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-1.4.41 tenacity-5.1.5 testcontainers-3.6.1 threadpoolctl-3.1.0 tomli-2.0.1 typing-extensions-4.3.0 urllib3-1.26.12 websocket-client-1.4.1 wrapt-1.14.1 zstandard-0.18.0
> 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:2.43.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/python37-fnapi:beam-master-20220914
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/python37-fnapi:beam-master-20220914" 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-1-0916150154.1663340867.299026/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-1-0916150154.1663340867.299026/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-1-0916150154.1663340867.299026/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-1-0916150154.1663340867.299026/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20220916150747300564-5205'
createTime: '2022-09-16T15:07:48.724289Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2022-09-16_08_07_47-13777400306833085165'
location: 'us-central1'
name: 'load-tests-python-dataflow-streaming-combine-1-0916150154'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2022-09-16T15:07:48.724289Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2022-09-16_08_07_47-13777400306833085165]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2022-09-16_08_07_47-13777400306833085165
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2022-09-16_08_07_47-13777400306833085165?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-09-16_08_07_47-13777400306833085165 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-16T15:07:54.415Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-a.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-16T15:08:00.598Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-16T15:08:00.697Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-16T15:08:00.794Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-16T15:08:00.868Z: JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-16T15:08:00.896Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write steps
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-16T15:08:00.954Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-16T15:08:01.020Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-16T15:08:01.055Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-16T15:08:01.083Z: JOB_MESSAGE_DETAILED: Fusing consumer Read synthetic/Map(<lambda at iobase.py:908>) into Read synthetic/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-16T15:08:01.106Z: JOB_MESSAGE_DETAILED: Fusing consumer ref_AppliedPTransform_Read-synthetic-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction into Read synthetic/Map(<lambda at iobase.py:908>)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-16T15:08:01.174Z: JOB_MESSAGE_DETAILED: Fusing consumer ref_AppliedPTransform_Read-synthetic-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/SplitWithSizing into ref_AppliedPTransform_Read-synthetic-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-16T15:08:01.201Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure time: Start into ref_AppliedPTransform_Read-synthetic-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/ProcessElementAndRestrictionWithSizing
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-16T15:08:01.226Z: JOB_MESSAGE_DETAILED: Fusing consumer Combine with Top 0/KeyWithVoid into Measure time: Start
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-16T15:08:01.263Z: JOB_MESSAGE_DETAILED: Fusing consumer Combine with Top 0/CombinePerKey/Combine/ConvertToAccumulators into Combine with Top 0/KeyWithVoid
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-16T15:08:01.288Z: JOB_MESSAGE_DETAILED: Fusing consumer Combine with Top 0/CombinePerKey/GroupByKey/WriteStream into Combine with Top 0/CombinePerKey/Combine/ConvertToAccumulators
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-16T15:08:01.310Z: JOB_MESSAGE_DETAILED: Fusing consumer Combine with Top 0/CombinePerKey/Combine into Combine with Top 0/CombinePerKey/GroupByKey/ReadStream
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-16T15:08:01.336Z: JOB_MESSAGE_DETAILED: Fusing consumer Combine with Top 0/CombinePerKey/Combine/Extract into Combine with Top 0/CombinePerKey/Combine
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-16T15:08:01.361Z: JOB_MESSAGE_DETAILED: Fusing consumer Combine with Top 0/UnKey into Combine with Top 0/CombinePerKey/Combine/Extract
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-16T15:08:01.389Z: JOB_MESSAGE_DETAILED: Fusing consumer Consume 0 into Combine with Top 0/UnKey
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-16T15:08:01.426Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure time: End 0 into Consume 0
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-16T15:08:01.575Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-16T15:08:01.607Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-16T15:08:01.641Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-16T15:08:01.667Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-16T15:08:01.688Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-16T15:08:01.731Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-16T15:08:01.804Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-a...
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-16T15:08:01.838Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-09-16_08_07_47-13777400306833085165 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-16T15:08:16.163Z: JOB_MESSAGE_BASIC: Your project already contains 100 Dataflow-created metric descriptors, so new user metrics of the form custom.googleapis.com/* will not be created. However, all user metrics are also available in the metric dataflow.googleapis.com/job/user_counter. If you rely on the custom metrics, you can delete old / unused metric descriptors. See https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.list and https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.delete
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-16T15:08:40.420Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-16T15:09:08.683Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-16T16:06:27.838Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-16T16:08:30.122Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-16T16:47:30.627Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-16T16:58:31.568Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-16T17:31:35.683Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-16T17:50:37.703Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-16T18:15:40.468Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-16T18:39:42.033Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-16T19:05:41.032Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-16T19:30:42.338Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-16T19:56:46.753Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-09-16_08_07_47-13777400306833085165 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-16T20:00:53.779Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2022-09-16_08_07_47-13777400306833085165.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-16T20:00:53.807Z: JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-16T20:00:53.854Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-16T20:00:53.885Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-16T20:00:53.908Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-16T20:00:53.933Z: JOB_MESSAGE_BASIC: Stopping **** pool...
Traceback (most recent call last):
File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
"__main__", mod_spec)
File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
exec(code, run_globals)
File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/combine_test.py",> line 129, in <module>
CombineTest().run()
File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
self.result.wait_until_finish(duration=self.timeout_ms)
File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/apache_beam/runners/dataflow/dataflow_runner.py",> line 1665, in wait_until_finish
'{}'.format(consoleUrl))
AssertionError: Job did not reach to a terminal state after waiting indefinitely. Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2022-09-16_08_07_47-13777400306833085165?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: 70
* 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 22s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date
Publishing build scan...
https://gradle.com/s/e5fxklpodyfye
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 #752
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/752/display/redirect?page=changes>
Changes:
[noreply] Fix assignees check
[noreply] Update cibuildwheel (#23024)
[noreply] Add section to docs on resource hints/RunInference (#23215)
[noreply] (BQ Python) Perform job waits in finish_bundle to allow BQ streaming
[noreply] Update to newest version of CloudPickle. (#23223)
[bulat.safiullin] [Website] update site navigation #22902
[noreply] Resolve script parsing error when changing from bash to sh. (#23199)
[noreply] Bump cloud.google.com/go/bigquery from 1.39.0 to 1.40.0 in /sdks
[noreply] Bump github.com/google/go-cmp from 0.5.8 to 0.5.9 in /sdks (#23123)
[noreply] Update google-cloud-bigquery requirement from <3,>=1.6.0 to >=1.6.0,<4
[noreply] Optimize varint reading and writing for small ints. (#23192)
[noreply] Pass namespace through RunInference transform (#23182)
[noreply] [GitHub Actions] - INFRA scripts to implement GCP Self-hosted runners
[noreply] GA migration - Base actions to use for precommit and postcommit
[noreply] Test fix Kafka Performance test batch (#23191)
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Building wheels for collected packages: apache-beam
Building wheel for apache-beam (setup.py): started
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Created wheel for apache-beam: filename=apache_beam-2.43.0.dev0-py3-none-any.whl size=2858221 sha256=173d0a249827a58e843781c4a85c8d455726be760498dab0d1f74f466df9a6af
Stored in directory: /home/jenkins/.cache/pip/wheels/e6/1f/28/9337974c607f5f016ef124646a645ebf2fb34bdd32df5f9dd8
Successfully built apache-beam
Installing collected packages: sortedcontainers, pytz, pyasn1, parameterized, iniconfig, docopt, crcmod, zstandard, wrapt, websocket-client, urllib3, typing-extensions, tomli, threadpoolctl, tenacity, rsa, regex, pyyaml, python-dateutil, pymysql, pymongo, pyhamcrest, pydot, pycparser, pyasn1-modules, psycopg2-binary, proto-plus, pbr, overrides, orjson, objsize, oauthlib, numpy, joblib, jmespath, isodate, idna, httplib2, greenlet, googleapis-common-protos, google-crc32c, fasteners, fastavro, execnet, exceptiongroup, dill, cloudpickle, charset-normalizer, certifi, cachetools, attrs, sqlalchemy, scipy, requests, pyarrow, pandas, oauth2client, mock, hypothesis, grpcio-status, grpcio-gcp, google-resumable-media, google-auth, freezegun, deprecation, cffi, botocore, scikit-learn, s3transfer, requests-oauthlib, requests_mock, pytest, hdfs, grpc-google-iam-v1, google-auth-httplib2, google-apitools, google-api-core, docker, cryptography, azure-core, testcontainers, pytest-timeout, pytest-forked, msrest, google-cloud-core, boto3, apache-beam, pytest-xdist, 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, azure-storage-blob, google-cloud-pubsublite, google-cloud-bigquery
Successfully installed apache-beam-2.43.0.dev0 attrs-22.1.0 azure-core-1.25.1 azure-storage-blob-12.13.1 boto3-1.24.73 botocore-1.27.73 cachetools-4.2.4 certifi-2022.9.14 cffi-1.15.1 charset-normalizer-2.1.1 cloudpickle-2.2.0 crcmod-1.7 cryptography-38.0.1 deprecation-2.1.0 dill-0.3.1.1 docker-6.0.0 docopt-0.6.2 exceptiongroup-1.0.0rc9 execnet-1.9.0 fastavro-1.6.1 fasteners-0.18 freezegun-1.2.2 google-api-core-2.10.1 google-apitools-0.5.31 google-auth-2.11.0 google-auth-httplib2-0.1.0 google-cloud-bigquery-3.3.2 google-cloud-bigquery-storage-2.13.2 google-cloud-bigtable-1.7.2 google-cloud-core-2.3.2 google-cloud-datastore-1.15.5 google-cloud-dlp-3.9.0 google-cloud-language-1.3.2 google-cloud-pubsub-2.13.6 google-cloud-pubsublite-1.4.3 google-cloud-recommendations-ai-0.7.1 google-cloud-spanner-1.19.3 google-cloud-videointelligence-1.16.3 google-cloud-vision-1.0.2 google-crc32c-1.5.0 google-resumable-media-2.3.3 googleapis-common-protos-1.56.4 greenlet-1.1.3 grpc-google-iam-v1-0.12.4 grpcio-gcp-0.2.2 grpcio-status-1.48.1 hdfs-2.7.0 httplib2-0.20.4 hypothesis-6.54.5 idna-3.4 iniconfig-1.1.1 isodate-0.6.1 jmespath-1.0.1 joblib-1.1.0 mock-2.0.0 msrest-0.7.1 numpy-1.21.6 oauth2client-4.1.3 oauthlib-3.2.1 objsize-0.5.2 orjson-3.8.0 overrides-6.2.0 pandas-1.3.5 parameterized-0.8.1 pbr-5.10.0 proto-plus-1.22.1 psycopg2-binary-2.9.3 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-3.12.3 pymysql-1.0.2 pytest-7.1.3 pytest-forked-1.4.0 pytest-timeout-2.1.0 pytest-xdist-2.5.0 python-dateutil-2.8.2 pytz-2022.2.1 pyyaml-6.0 regex-2022.9.13 requests-2.28.1 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-1.4.41 tenacity-5.1.5 testcontainers-3.6.1 threadpoolctl-3.1.0 tomli-2.0.1 typing-extensions-4.3.0 urllib3-1.26.12 websocket-client-1.4.1 wrapt-1.14.1 zstandard-0.18.0
> 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:2.43.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/python37-fnapi:beam-master-20220811
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/python37-fnapi:beam-master-20220811" 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-1-0915150158.1663254469.538878/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-1-0915150158.1663254469.538878/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-1-0915150158.1663254469.538878/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-1-0915150158.1663254469.538878/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20220915150749539886-2511'
createTime: '2022-09-15T15:07:50.587512Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2022-09-15_08_07_50-14759629030774926533'
location: 'us-central1'
name: 'load-tests-python-dataflow-streaming-combine-1-0915150158'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2022-09-15T15:07:50.587512Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2022-09-15_08_07_50-14759629030774926533]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2022-09-15_08_07_50-14759629030774926533
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2022-09-15_08_07_50-14759629030774926533?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-09-15_08_07_50-14759629030774926533 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-15T15:07:55.059Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-a.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-15T15:07:58.897Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-15T15:07:58.952Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-15T15:07:59.063Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-15T15:07:59.144Z: JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-15T15:07:59.171Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write steps
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-15T15:07:59.240Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-15T15:07:59.335Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-15T15:07:59.379Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-15T15:07:59.416Z: JOB_MESSAGE_DETAILED: Fusing consumer Read synthetic/Map(<lambda at iobase.py:908>) into Read synthetic/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-15T15:07:59.450Z: JOB_MESSAGE_DETAILED: Fusing consumer ref_AppliedPTransform_Read-synthetic-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction into Read synthetic/Map(<lambda at iobase.py:908>)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-15T15:07:59.472Z: JOB_MESSAGE_DETAILED: Fusing consumer ref_AppliedPTransform_Read-synthetic-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/SplitWithSizing into ref_AppliedPTransform_Read-synthetic-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-15T15:07:59.496Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure time: Start into ref_AppliedPTransform_Read-synthetic-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/ProcessElementAndRestrictionWithSizing
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-15T15:07:59.524Z: JOB_MESSAGE_DETAILED: Fusing consumer Combine with Top 0/KeyWithVoid into Measure time: Start
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INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-15T15:07:59.828Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
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INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-09-15_08_07_50-14759629030774926533 is in state JOB_STATE_RUNNING
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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 151, in run
self.result.wait_until_finish(duration=self.timeout_ms)
File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/apache_beam/runners/dataflow/dataflow_runner.py",> line 1665, in wait_until_finish
'{}'.format(consoleUrl))
AssertionError: Job did not reach to a terminal state after waiting indefinitely. Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2022-09-15_08_07_50-14759629030774926533?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: 70
* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred
* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
* Get more help at https://help.gradle.org
Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.
You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.
See https://docs.gradle.org/7.5.1/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 4h 55m 12s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date
Publishing build scan...
https://gradle.com/s/gbbkyalemtp2m
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 #751
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/751/display/redirect?page=changes>
Changes:
[noreply] Open Allow and test pyarrow 8.x and 9.x (#22997)
[noreply] (BQ Python) Pass project field from options or parameter when writing
[noreply] Update python-machine-learning.md (#23209)
[noreply] Pin the version of cloudpickle to 2.1.x (#23120)
[noreply] Add streaming test for Write API sink (#21903)
[noreply] [Go SDK] Proto changes for timer param (#23216)
[noreply] Bump github.com/testcontainers/testcontainers-go in /sdks (#23201)
[noreply] Update to objsize to 0.5.2 which is under BSD-3 license (fixes #23096)
[noreply] Exclude insignificant whitespace from cloud object (#23217)
[noreply] Trying out property-based tests for Beam python coders (#22233)
[noreply] Publish results of JMH benchmark runs (Java SDK) to InfluxDB (part of
[noreply] Exclude protobuf 3.20.2 (#23226)
[noreply] Fix IllegalStateException in StorageApiWriteUnshardedRecords error
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Successfully built apache-beam
Installing collected packages: sortedcontainers, pytz, pyasn1, parameterized, iniconfig, docopt, crcmod, zstandard, wrapt, websocket-client, urllib3, typing-extensions, tomli, threadpoolctl, tenacity, rsa, regex, pyyaml, python-dateutil, pymysql, pymongo, pyhamcrest, pydot, pycparser, pyasn1-modules, psycopg2-binary, proto-plus, pbr, overrides, orjson, objsize, oauthlib, numpy, joblib, jmespath, isodate, idna, httplib2, greenlet, googleapis-common-protos, google-crc32c, fasteners, fastavro, execnet, exceptiongroup, dill, cloudpickle, charset-normalizer, certifi, cachetools, attrs, sqlalchemy, scipy, requests, pyarrow, pandas, oauth2client, mock, hypothesis, grpcio-status, grpcio-gcp, google-resumable-media, google-auth, freezegun, deprecation, cffi, botocore, scikit-learn, s3transfer, requests-oauthlib, requests_mock, pytest, hdfs, grpc-google-iam-v1, google-auth-httplib2, google-apitools, google-api-core, docker, cryptography, azure-core, testcontainers, pytest-timeout, pytest-forked, msrest, google-cloud-core, boto3, apache-beam, pytest-xdist, 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, google-cloud-pubsublite
Successfully installed apache-beam-2.43.0.dev0 attrs-22.1.0 azure-core-1.25.1 azure-storage-blob-12.13.1 boto3-1.24.72 botocore-1.27.72 cachetools-4.2.4 certifi-2022.6.15.2 cffi-1.15.1 charset-normalizer-2.1.1 cloudpickle-2.1.0 crcmod-1.7 cryptography-38.0.1 deprecation-2.1.0 dill-0.3.1.1 docker-6.0.0 docopt-0.6.2 exceptiongroup-1.0.0rc9 execnet-1.9.0 fastavro-1.6.1 fasteners-0.18 freezegun-1.2.2 google-api-core-2.10.0 google-apitools-0.5.31 google-auth-2.11.0 google-auth-httplib2-0.1.0 google-cloud-bigquery-2.34.4 google-cloud-bigquery-storage-2.13.2 google-cloud-bigtable-1.7.2 google-cloud-core-2.3.2 google-cloud-datastore-1.15.5 google-cloud-dlp-3.9.0 google-cloud-language-1.3.2 google-cloud-pubsub-2.13.6 google-cloud-pubsublite-1.4.3 google-cloud-recommendations-ai-0.7.1 google-cloud-spanner-1.19.3 google-cloud-videointelligence-1.16.3 google-cloud-vision-1.0.2 google-crc32c-1.5.0 google-resumable-media-2.3.3 googleapis-common-protos-1.56.4 greenlet-1.1.3 grpc-google-iam-v1-0.12.4 grpcio-gcp-0.2.2 grpcio-status-1.48.1 hdfs-2.7.0 httplib2-0.20.4 hypothesis-6.54.5 idna-3.4 iniconfig-1.1.1 isodate-0.6.1 jmespath-1.0.1 joblib-1.1.0 mock-2.0.0 msrest-0.7.1 numpy-1.21.6 oauth2client-4.1.3 oauthlib-3.2.1 objsize-0.5.2 orjson-3.8.0 overrides-6.2.0 pandas-1.3.5 parameterized-0.8.1 pbr-5.10.0 proto-plus-1.22.1 psycopg2-binary-2.9.3 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-3.12.3 pymysql-1.0.2 pytest-7.1.3 pytest-forked-1.4.0 pytest-timeout-2.1.0 pytest-xdist-2.5.0 python-dateutil-2.8.2 pytz-2022.2.1 pyyaml-6.0 regex-2022.9.13 requests-2.28.1 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-1.4.41 tenacity-5.1.5 testcontainers-3.6.1 threadpoolctl-3.1.0 tomli-2.0.1 typing-extensions-4.3.0 urllib3-1.26.12 websocket-client-1.4.1 wrapt-1.14.1 zstandard-0.18.0
> 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:2.43.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/python37-fnapi:beam-master-20220811
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/python37-fnapi:beam-master-20220811" 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-1-0914150741.1663168363.120434/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-1-0914150741.1663168363.120434/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-1-0914150741.1663168363.120434/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-1-0914150741.1663168363.120434/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20220914151243121643-5939'
createTime: '2022-09-14T15:12:44.299076Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2022-09-14_08_12_43-4242503544019976068'
location: 'us-central1'
name: 'load-tests-python-dataflow-streaming-combine-1-0914150741'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2022-09-14T15:12:44.299076Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2022-09-14_08_12_43-4242503544019976068]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2022-09-14_08_12_43-4242503544019976068
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2022-09-14_08_12_43-4242503544019976068?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-09-14_08_12_43-4242503544019976068 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-14T15:12:51.944Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-a.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-14T15:12:54.362Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-14T15:12:54.388Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-14T15:12:54.547Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-14T15:12:54.624Z: JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-14T15:12:54.661Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write steps
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-14T15:12:54.708Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-14T15:12:54.763Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-14T15:12:54.805Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-14T15:12:54.833Z: JOB_MESSAGE_DETAILED: Fusing consumer Read synthetic/Map(<lambda at iobase.py:908>) into Read synthetic/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-14T15:12:54.855Z: JOB_MESSAGE_DETAILED: Fusing consumer ref_AppliedPTransform_Read-synthetic-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction into Read synthetic/Map(<lambda at iobase.py:908>)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-14T15:12:54.882Z: JOB_MESSAGE_DETAILED: Fusing consumer ref_AppliedPTransform_Read-synthetic-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/SplitWithSizing into ref_AppliedPTransform_Read-synthetic-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-14T15:12:54.918Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure time: Start into ref_AppliedPTransform_Read-synthetic-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/ProcessElementAndRestrictionWithSizing
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-14T15:12:54.983Z: JOB_MESSAGE_DETAILED: Fusing consumer Combine with Top 0/KeyWithVoid into Measure time: Start
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-14T15:12:55.017Z: JOB_MESSAGE_DETAILED: Fusing consumer Combine with Top 0/CombinePerKey/Combine/ConvertToAccumulators into Combine with Top 0/KeyWithVoid
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-14T15:12:55.050Z: JOB_MESSAGE_DETAILED: Fusing consumer Combine with Top 0/CombinePerKey/GroupByKey/WriteStream into Combine with Top 0/CombinePerKey/Combine/ConvertToAccumulators
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-14T15:12:55.085Z: JOB_MESSAGE_DETAILED: Fusing consumer Combine with Top 0/CombinePerKey/Combine into Combine with Top 0/CombinePerKey/GroupByKey/ReadStream
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-14T15:12:55.123Z: JOB_MESSAGE_DETAILED: Fusing consumer Combine with Top 0/CombinePerKey/Combine/Extract into Combine with Top 0/CombinePerKey/Combine
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-14T15:12:55.155Z: JOB_MESSAGE_DETAILED: Fusing consumer Combine with Top 0/UnKey into Combine with Top 0/CombinePerKey/Combine/Extract
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-14T15:12:55.178Z: JOB_MESSAGE_DETAILED: Fusing consumer Consume 0 into Combine with Top 0/UnKey
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-14T15:12:55.200Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure time: End 0 into Consume 0
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-14T15:12:55.311Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-14T15:12:55.343Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-14T15:12:55.393Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-14T15:12:55.423Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-14T15:12:55.520Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-14T15:12:55.575Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-14T15:12:55.606Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-a...
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-14T15:12:55.641Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-09-14_08_12_43-4242503544019976068 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-14T15:13:17.504Z: JOB_MESSAGE_BASIC: Your project already contains 100 Dataflow-created metric descriptors, so new user metrics of the form custom.googleapis.com/* will not be created. However, all user metrics are also available in the metric dataflow.googleapis.com/job/user_counter. If you rely on the custom metrics, you can delete old / unused metric descriptors. See https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.list and https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.delete
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-14T15:13:38.208Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-14T15:14:06.257Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-14T16:14:20.081Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-14T16:16:21.296Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-14T16:58:22.879Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-14T17:10:25.116Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-14T17:42:28.666Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-14T18:03:29.971Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-14T18:29:32.284Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-14T18:55:34.080Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-14T19:20:35.069Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-14T19:44:48.255Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-09-14_08_12_43-4242503544019976068 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-14T20:01:14.973Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2022-09-14_08_12_43-4242503544019976068.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-14T20:01:16.189Z: JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-14T20:01:16.297Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-14T20:01:16.329Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-14T20:01:16.351Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-14T20:01:16.376Z: JOB_MESSAGE_BASIC: Stopping **** pool...
Traceback (most recent call last):
File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
"__main__", mod_spec)
File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
exec(code, run_globals)
File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/combine_test.py",> line 129, in <module>
CombineTest().run()
File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
self.result.wait_until_finish(duration=self.timeout_ms)
File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/apache_beam/runners/dataflow/dataflow_runner.py",> line 1665, in wait_until_finish
'{}'.format(consoleUrl))
AssertionError: Job did not reach to a terminal state after waiting indefinitely. Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2022-09-14_08_12_43-4242503544019976068?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: 70
* 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 50m 39s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date
Publishing build scan...
https://gradle.com/s/3usqiz3e4x4mq
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 #750
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/750/display/redirect?page=changes>
Changes:
[noreply] Bump dataflow java fnapi container version to beam-master-20220830
[noreply] [Issue#23071] Fix AfterProcessingTime for Python to behave like Java
[noreply] Don't depend on java 11 docker container for go test (#23197)
[Moritz Mack] Annotate stateful VR test in TestStreamTest with UsesStatefulParDo
[Moritz Mack] Properly close Spark (streaming) context if Pipeline translation fails
[noreply] [Playground] [Backend] Datastore queries and mappers to get precompiled
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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-2.43.0.dev0-py3-none-any.whl size=2854955 sha256=bfc34d4bdda39052cb91a7987a10b4dd96555102c69bfa458360b74bd2ffbc65
Stored in directory: /home/jenkins/.cache/pip/wheels/e6/1f/28/9337974c607f5f016ef124646a645ebf2fb34bdd32df5f9dd8
Successfully built apache-beam
Installing collected packages: pytz, pyasn1, parameterized, iniconfig, docopt, crcmod, zstandard, wrapt, websocket-client, urllib3, typing-extensions, tomli, threadpoolctl, tenacity, rsa, regex, pyyaml, python-dateutil, pymysql, pymongo, pyhamcrest, pydot, pycparser, pyasn1-modules, psycopg2-binary, proto-plus, pbr, overrides, orjson, objsize, oauthlib, numpy, joblib, jmespath, isodate, idna, httplib2, greenlet, googleapis-common-protos, google-crc32c, fasteners, fastavro, execnet, dill, cloudpickle, charset-normalizer, certifi, cachetools, attrs, sqlalchemy, scipy, requests, pyarrow, pandas, oauth2client, mock, grpcio-status, grpcio-gcp, google-resumable-media, google-auth, freezegun, deprecation, cffi, botocore, scikit-learn, s3transfer, requests-oauthlib, requests_mock, pytest, hdfs, grpc-google-iam-v1, google-auth-httplib2, google-apitools, google-api-core, docker, cryptography, azure-core, testcontainers, pytest-timeout, pytest-forked, msrest, google-cloud-core, boto3, apache-beam, pytest-xdist, 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, google-cloud-pubsublite
Successfully installed apache-beam-2.43.0.dev0 attrs-22.1.0 azure-core-1.25.1 azure-storage-blob-12.13.1 boto3-1.24.71 botocore-1.27.71 cachetools-4.2.4 certifi-2022.6.15.1 cffi-1.15.1 charset-normalizer-2.1.1 cloudpickle-2.2.0 crcmod-1.7 cryptography-38.0.1 deprecation-2.1.0 dill-0.3.1.1 docker-6.0.0 docopt-0.6.2 execnet-1.9.0 fastavro-1.6.1 fasteners-0.17.3 freezegun-1.2.2 google-api-core-2.10.0 google-apitools-0.5.31 google-auth-2.11.0 google-auth-httplib2-0.1.0 google-cloud-bigquery-2.34.4 google-cloud-bigquery-storage-2.13.2 google-cloud-bigtable-1.7.2 google-cloud-core-2.3.2 google-cloud-datastore-1.15.5 google-cloud-dlp-3.9.0 google-cloud-language-1.3.2 google-cloud-pubsub-2.13.6 google-cloud-pubsublite-1.4.3 google-cloud-recommendations-ai-0.7.1 google-cloud-spanner-1.19.3 google-cloud-videointelligence-1.16.3 google-cloud-vision-1.0.2 google-crc32c-1.5.0 google-resumable-media-2.3.3 googleapis-common-protos-1.56.4 greenlet-1.1.3 grpc-google-iam-v1-0.12.4 grpcio-gcp-0.2.2 grpcio-status-1.48.1 hdfs-2.7.0 httplib2-0.20.4 idna-3.3 iniconfig-1.1.1 isodate-0.6.1 jmespath-1.0.1 joblib-1.1.0 mock-2.0.0 msrest-0.7.1 numpy-1.21.6 oauth2client-4.1.3 oauthlib-3.2.1 objsize-0.5.2 orjson-3.8.0 overrides-6.2.0 pandas-1.3.5 parameterized-0.8.1 pbr-5.10.0 proto-plus-1.22.1 psycopg2-binary-2.9.3 pyarrow-7.0.0 pyasn1-0.4.8 pyasn1-modules-0.2.8 pycparser-2.21 pydot-1.4.2 pyhamcrest-1.10.1 pymongo-3.12.3 pymysql-1.0.2 pytest-7.1.3 pytest-forked-1.4.0 pytest-timeout-2.1.0 pytest-xdist-2.5.0 python-dateutil-2.8.2 pytz-2022.2.1 pyyaml-6.0 regex-2022.9.13 requests-2.28.1 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 sqlalchemy-1.4.41 tenacity-5.1.5 testcontainers-3.6.1 threadpoolctl-3.1.0 tomli-2.0.1 typing-extensions-4.3.0 urllib3-1.26.12 websocket-client-1.4.1 wrapt-1.14.1 zstandard-0.18.0
> 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:2.43.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/python37-fnapi:beam-master-20220811
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/python37-fnapi:beam-master-20220811" 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-1-0913150203.1663081656.980141/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-1-0913150203.1663081656.980141/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-1-0913150203.1663081656.980141/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-1-0913150203.1663081656.980141/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20220913150736981146-8663'
createTime: '2022-09-13T15:07:37.972199Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2022-09-13_08_07_37-18275298612133208913'
location: 'us-central1'
name: 'load-tests-python-dataflow-streaming-combine-1-0913150203'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2022-09-13T15:07:37.972199Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2022-09-13_08_07_37-18275298612133208913]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2022-09-13_08_07_37-18275298612133208913
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2022-09-13_08_07_37-18275298612133208913?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-09-13_08_07_37-18275298612133208913 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-13T15:07:44.431Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-a.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-13T15:07:45.565Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-13T15:07:45.612Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-13T15:07:45.695Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-13T15:07:45.800Z: JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-13T15:07:45.833Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write steps
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-13T15:07:45.966Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-13T15:07:46.037Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-13T15:07:46.095Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-13T15:07:46.149Z: JOB_MESSAGE_DETAILED: Fusing consumer Read synthetic/Map(<lambda at iobase.py:908>) into Read synthetic/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-13T15:07:46.195Z: JOB_MESSAGE_DETAILED: Fusing consumer ref_AppliedPTransform_Read-synthetic-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction into Read synthetic/Map(<lambda at iobase.py:908>)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-13T15:07:46.227Z: JOB_MESSAGE_DETAILED: Fusing consumer ref_AppliedPTransform_Read-synthetic-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/SplitWithSizing into ref_AppliedPTransform_Read-synthetic-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-13T15:07:46.271Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure time: Start into ref_AppliedPTransform_Read-synthetic-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/ProcessElementAndRestrictionWithSizing
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-13T15:07:46.304Z: JOB_MESSAGE_DETAILED: Fusing consumer Combine with Top 0/KeyWithVoid into Measure time: Start
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-13T15:07:46.346Z: JOB_MESSAGE_DETAILED: Fusing consumer Combine with Top 0/CombinePerKey/Combine/ConvertToAccumulators into Combine with Top 0/KeyWithVoid
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-13T15:07:46.389Z: JOB_MESSAGE_DETAILED: Fusing consumer Combine with Top 0/CombinePerKey/GroupByKey/WriteStream into Combine with Top 0/CombinePerKey/Combine/ConvertToAccumulators
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-13T15:07:46.434Z: JOB_MESSAGE_DETAILED: Fusing consumer Combine with Top 0/CombinePerKey/Combine into Combine with Top 0/CombinePerKey/GroupByKey/ReadStream
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-13T15:07:46.505Z: JOB_MESSAGE_DETAILED: Fusing consumer Combine with Top 0/CombinePerKey/Combine/Extract into Combine with Top 0/CombinePerKey/Combine
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-13T15:07:46.542Z: JOB_MESSAGE_DETAILED: Fusing consumer Combine with Top 0/UnKey into Combine with Top 0/CombinePerKey/Combine/Extract
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-13T15:07:46.589Z: JOB_MESSAGE_DETAILED: Fusing consumer Consume 0 into Combine with Top 0/UnKey
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-13T15:07:46.626Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure time: End 0 into Consume 0
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-13T15:07:46.835Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-13T15:07:46.917Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-13T15:07:46.955Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-13T15:07:47.002Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-13T15:07:47.036Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-13T15:07:47.125Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-13T15:07:47.171Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-a...
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-13T15:07:47.243Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-09-13_08_07_37-18275298612133208913 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-13T15:08:09.267Z: JOB_MESSAGE_BASIC: Your project already contains 100 Dataflow-created metric descriptors, so new user metrics of the form custom.googleapis.com/* will not be created. However, all user metrics are also available in the metric dataflow.googleapis.com/job/user_counter. If you rely on the custom metrics, you can delete old / unused metric descriptors. See https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.list and https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.delete
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-13T15:08:23.569Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-13T15:08:55.831Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-13T16:08:40.470Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-13T16:09:50.401Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-13T16:54:50.584Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-13T16:58:41.761Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-13T17:04:46.060Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-13T17:38:49.043Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-13T17:55:46.983Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-13T18:24:50.715Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-13T18:44:52.622Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-13T19:10:03.088Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-13T19:32:56.704Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-13T19:56:56.710Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-09-13_08_07_37-18275298612133208913 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-13T20:00:47.020Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2022-09-13_08_07_37-18275298612133208913.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-13T20:00:47.072Z: JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-13T20:00:47.198Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-13T20:00:47.228Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-13T20:00:47.261Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-09-13T20:00:47.293Z: JOB_MESSAGE_BASIC: Stopping **** pool...
Traceback (most recent call last):
File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
"__main__", mod_spec)
File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
exec(code, run_globals)
File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/combine_test.py",> line 129, in <module>
CombineTest().run()
File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py",> line 151, in run
self.result.wait_until_finish(duration=self.timeout_ms)
File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/apache_beam/runners/dataflow/dataflow_runner.py",> line 1665, in wait_until_finish
'{}'.format(consoleUrl))
AssertionError: Job did not reach to a terminal state after waiting indefinitely. Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2022-09-13_08_07_37-18275298612133208913?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: 70
* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred
* Try:
> Run with --stacktrace option to get the stack trace.
> Run with --info or --debug option to get more log output.
* Get more help at https://help.gradle.org
Deprecated Gradle features were used in this build, making it incompatible with Gradle 8.0.
You can use '--warning-mode all' to show the individual deprecation warnings and determine if they come from your own scripts or plugins.
See https://docs.gradle.org/7.5.1/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 4h 55m 16s
15 actionable tasks: 9 executed, 4 from cache, 2 up-to-date
Publishing build scan...
https://gradle.com/s/45fuk7v26ej6e
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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