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Posted to builds@beam.apache.org by Apache Jenkins Server <je...@builds.apache.org> on 2022/11/30 11:47:38 UTC
Build failed in Jenkins: beam_LoadTests_Python_SideInput_Dataflow_Batch #782
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_SideInput_Dataflow_Batch/782/display/redirect?page=changes>
Changes:
[bulat.safiullin] [Website] update copy-to-clipboard.js #24372
[Kenneth Knowles] Fix dependencies of archetype tasks
[Kenneth Knowles] Upgrade checker framework to 3.13.0
[Kenneth Knowles] Upgrade checker framework to 3.14.0
[Kenneth Knowles] Upgrade checker framework to 3.15.0
[Kenneth Knowles] Inline :sdks:java:core:buildDependents so we can incrementally split
[Moritz Mack] [Spark Dataset runner] Fix support for Java 11 (closes #24392)
[Moritz Mack] fix spotless
[noreply] Fix SparkReceiverIOIT test (#24375)
[noreply] Bump cloud.google.com/go/bigquery from 1.42.0 to 1.43.0 in /sdks
[noreply] Bump github.com/aws/aws-sdk-go-v2/feature/s3/manager in /sdks (#24348)
[noreply] pg_23079 remove replacing tabs at playground (#24285)
[noreply] [#24339] Make Slices use iterable coder instead of custom coder.
[noreply] Add custom inference fns to CHANGES.md (#24412)
[noreply] Better warning and Exception message in CalciteUtil (#24414)
[noreply] List breaking change #24339 in Changes.md (#24420)
[noreply] Allow composite output types in sql.Transform. (#24421)
[noreply] Add map_windows support to Go SDK (#24307)
[noreply] Deleted initialNumReaders paramter. (#24355)
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Building wheels for collected packages: apache-beam
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Successfully built apache-beam
Installing collected packages: sortedcontainers, pytz, pyasn1, parameterized, iniconfig, docopt, crcmod, zstandard, wrapt, websocket-client, urllib3, typing-extensions, tomli, threadpoolctl, tenacity, sqlparse, scipy, rsa, regex, pyyaml, python-dateutil, pymysql, pymongo, PyJWT, pyhamcrest, pydot, pycparser, pyasn1-modules, pyarrow, psycopg2-binary, proto-plus, portalocker, pbr, overrides, orjson, objsize, oauthlib, joblib, jmespath, isodate, idna, httplib2, greenlet, googleapis-common-protos, google-crc32c, fasteners, fastavro, execnet, exceptiongroup, dill, cloudpickle, charset-normalizer, certifi, cachetools, attrs, sqlalchemy, scikit-learn, requests, pandas, oauth2client, mock, hypothesis, grpcio-status, google-resumable-media, google-auth, freezegun, deprecation, cffi, botocore, s3transfer, requests-oauthlib, requests_mock, 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, msal, google-cloud-vision, google-cloud-videointelligence, google-cloud-spanner, google-cloud-recommendations-ai, google-cloud-pubsub, google-cloud-language, google-cloud-dlp, google-cloud-datastore, google-cloud-bigtable, google-cloud-bigquery-storage, azure-storage-blob, msal-extensions, google-cloud-pubsublite, google-cloud-bigquery, azure-identity
Successfully installed PyJWT-2.6.0 apache-beam-2.44.0.dev0 attrs-22.1.0 azure-core-1.26.1 azure-identity-1.12.0 azure-storage-blob-12.14.1 boto3-1.26.19 botocore-1.29.19 cachetools-4.2.4 certifi-2022.9.24 cffi-1.15.1 charset-normalizer-2.1.1 cloudpickle-2.2.0 crcmod-1.7 cryptography-38.0.4 deprecation-2.1.0 dill-0.3.1.1 docker-6.0.1 docopt-0.6.2 exceptiongroup-1.0.4 execnet-1.9.0 fastavro-1.7.0 fasteners-0.18 freezegun-1.2.2 google-api-core-2.10.2 google-apitools-0.5.31 google-auth-2.14.1 google-auth-httplib2-0.1.0 google-cloud-bigquery-3.4.0 google-cloud-bigquery-storage-2.13.2 google-cloud-bigtable-1.7.3 google-cloud-core-2.3.2 google-cloud-datastore-1.15.5 google-cloud-dlp-3.9.2 google-cloud-language-1.3.2 google-cloud-pubsub-2.13.11 google-cloud-pubsublite-1.6.0 google-cloud-recommendations-ai-0.7.1 google-cloud-spanner-3.23.0 google-cloud-videointelligence-1.16.3 google-cloud-vision-3.1.4 google-crc32c-1.5.0 google-resumable-media-2.4.0 googleapis-common-protos-1.57.0 greenlet-2.0.1 grpc-google-iam-v1-0.12.4 grpcio-status-1.48.2 hdfs-2.7.0 httplib2-0.20.4 hypothesis-6.58.2 idna-3.4 iniconfig-1.1.1 isodate-0.6.1 jmespath-1.0.1 joblib-1.2.0 mock-2.0.0 msal-1.20.0 msal-extensions-1.0.0 msrest-0.7.1 oauth2client-4.1.3 oauthlib-3.2.2 objsize-0.6.1 orjson-3.8.2 overrides-6.5.0 pandas-1.3.5 parameterized-0.8.1 pbr-5.11.0 portalocker-2.6.0 proto-plus-1.22.1 psycopg2-binary-2.9.5 pyarrow-9.0.0 pyasn1-0.4.8 pyasn1-modules-0.2.8 pycparser-2.21 pydot-1.4.2 pyhamcrest-1.10.1 pymongo-3.13.0 pymysql-1.0.2 pytest-7.2.0 pytest-forked-1.4.0 pytest-timeout-2.1.0 pytest-xdist-2.5.0 python-dateutil-2.8.2 pytz-2022.6 pyyaml-6.0 regex-2022.10.31 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-1.4.44 sqlparse-0.4.3 tenacity-5.1.5 testcontainers-3.7.0 threadpoolctl-3.1.0 tomli-2.0.1 typing-extensions-4.4.0 urllib3-1.26.13 websocket-client-1.4.2 wrapt-1.14.1 zstandard-0.19.0
> Task :sdks:python:apache_beam:testing:load_tests:run
INFO:root:990000 out of 1000000 total elements in each window will be accessed.
INFO:apache_beam.runners.portability.stager:Copying Beam SDK "<https://ci-beam.apache.org/job/beam_LoadTests_Python_SideInput_Dataflow_Batch/ws/src/sdks/python/build/apache-beam.tar.gz"> to staging location.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.44.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/python37:beam-master-20221122
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/python37:beam-master-20221122" for Docker environment
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function pack_combiners at 0x7f20774d2c20> ====================
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function sort_stages at 0x7f20774d3440> ====================
INFO:apache_beam.runners.dataflow.internal.apiclient:Defaulting to the temp_location as staging_location: gs://temp-storage-for-perf-tests/loadtests
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/loadtests/load-tests-python-dataflow-batch-sideinput-2-1130100332.1669808574.911049/dataflow_python_sdk.tar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/loadtests/load-tests-python-dataflow-batch-sideinput-2-1130100332.1669808574.911049/dataflow_python_sdk.tar in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/loadtests/load-tests-python-dataflow-batch-sideinput-2-1130100332.1669808574.911049/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/loadtests/load-tests-python-dataflow-batch-sideinput-2-1130100332.1669808574.911049/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20221130114254912127-7278'
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currentStateTime: '1970-01-01T00:00:00Z'
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name: 'load-tests-python-dataflow-batch-sideinput-2-1130100332'
projectId: 'apache-beam-testing'
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steps: []
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INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2022-11-30_03_42_55-3996073678637317980]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2022-11-30_03_42_55-3996073678637317980
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2022-11-30_03_42_55-3996073678637317980?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-11-30_03_42_55-3996073678637317980 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-30T11:42:55.668Z: JOB_MESSAGE_BASIC: Dataflow Runner V2 auto-enabled. Use --experiments=disable_runner_v2 to opt out.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-30T11:42:58.879Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-30T11:42:59.921Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-30T11:42:59.971Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-30T11:43:00.033Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-30T11:43:00.057Z: JOB_MESSAGE_DEBUG: Combiner lifting skipped for step Side input: create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey: GroupByKey not followed by a combiner.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-30T11:43:00.081Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-30T11:43:00.113Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-30T11:43:00.145Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-30T11:43:00.171Z: JOB_MESSAGE_DETAILED: Fusing consumer Side input: create/FlatMap(<lambda at core.py:3501>) into Side input: create/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-30T11:43:00.196Z: JOB_MESSAGE_DETAILED: Fusing consumer Side input: create/MaybeReshuffle/Reshuffle/AddRandomKeys into Side input: create/FlatMap(<lambda at core.py:3501>)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-30T11:43:00.226Z: JOB_MESSAGE_DETAILED: Fusing consumer Side input: create/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps) into Side input: create/MaybeReshuffle/Reshuffle/AddRandomKeys
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-30T11:43:00.251Z: JOB_MESSAGE_DETAILED: Fusing consumer Side input: create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Reify into Side input: create/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-30T11:43:00.273Z: JOB_MESSAGE_DETAILED: Fusing consumer Side input: create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Write into Side input: create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Reify
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-30T11:43:00.302Z: JOB_MESSAGE_DETAILED: Fusing consumer Side input: create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/GroupByWindow into Side input: create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Read
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-30T11:43:00.326Z: JOB_MESSAGE_DETAILED: Fusing consumer Side input: create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps) into Side input: create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/GroupByWindow
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-30T11:43:00.360Z: JOB_MESSAGE_DETAILED: Fusing consumer Side input: create/MaybeReshuffle/Reshuffle/RemoveRandomKeys into Side input: create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-30T11:43:00.411Z: JOB_MESSAGE_DETAILED: Fusing consumer Side input: create/Map(decode) into Side input: create/MaybeReshuffle/Reshuffle/RemoveRandomKeys
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INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-30T11:43:00.619Z: JOB_MESSAGE_DETAILED: Fusing consumer ParDo(MappingSideInputTestDoFn) into Collect start time metrics
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INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-30T11:43:00.599Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect start time metrics into Create/Map(decode)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-30T11:43:00.619Z: JOB_MESSAGE_DETAILED: Fusing consumer ParDo(MappingSideInputTestDoFn) into Collect start time metrics
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-30T11:43:00.647Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect end time metrics into ParDo(MappingSideInputTestDoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-30T11:43:00.687Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-30T11:43:00.714Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-30T11:43:00.737Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-30T11:43:00.774Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-30T11:43:00.917Z: JOB_MESSAGE_DEBUG: Executing wait step start21
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-30T11:43:00.974Z: JOB_MESSAGE_BASIC: Executing operation Side input: create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Create
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-30T11:43:01.024Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
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INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-30T11:43:01.468Z: JOB_MESSAGE_BASIC: Finished operation Side input: create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Create
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-30T11:43:01.532Z: JOB_MESSAGE_DEBUG: Value "Side input: create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Session" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-30T11:43:01.596Z: JOB_MESSAGE_BASIC: Executing operation Side input: create/Impulse+Side input: create/FlatMap(<lambda at core.py:3501>)+Side input: create/MaybeReshuffle/Reshuffle/AddRandomKeys+Side input: create/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps)+Side input: create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Reify+Side input: create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Write
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-30T11:43:10.963Z: JOB_MESSAGE_BASIC: Your project already contains 100 Dataflow-created metric descriptors, so new user metrics of the form custom.googleapis.com/* will not be created. However, all user metrics are also available in the metric dataflow.googleapis.com/job/user_counter. If you rely on the custom metrics, you can delete old / unused metric descriptors. See https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.list and https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.delete
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-11-30T11:43:43.732Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 10 based on the rate of progress in the currently running stage(s).
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Changes:
[noreply] Bump google.golang.org/grpc from 1.50.1 to 1.51.0 in /sdks (#24281)
[noreply] [Playground] use JAVA SDK 2.43.0 in Examples CI (#24429)
[noreply] Update authors.yml (#24433)
[noreply] Bump cloud.google.com/go/spanner from 1.36.0 to 1.40.0 in /sdks (#24423)
[noreply] Add Large Language Model RunInference Example (#24350)
[noreply] [Playground] [Backend] minor fixes for error msgs (#23999)
[noreply] pg_24284_now_closing_parenthesis on cancel button is visible (#24327)
[noreply] [Github Actions] - Cut Release Branch Workflow (#24020)
[noreply] Add six to build-requirements.txt (#24434)
[noreply] Add Pytorch RunInference GPU benchmark (#24347)
[noreply] Fix multiple mutations affecting the same entity in Datastore write
[noreply] Fix BlobstorageIO.checksum Attribute Error (#24442)
[noreply] Bump github.com/tetratelabs/wazero in /sdks (#24453)
[noreply] [BEAM-12164] Support querying against Postgres for the SpannerIO change
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Successfully built apache-beam
Installing collected packages: sortedcontainers, pytz, pyasn1, parameterized, iniconfig, docopt, crcmod, zstandard, wrapt, websocket-client, urllib3, typing-extensions, tomli, threadpoolctl, tenacity, sqlparse, scipy, rsa, regex, pyyaml, python-dateutil, pymysql, pymongo, PyJWT, pyhamcrest, pydot, pycparser, pyasn1-modules, pyarrow, psycopg2-binary, proto-plus, portalocker, pbr, overrides, orjson, objsize, oauthlib, joblib, jmespath, isodate, idna, httplib2, greenlet, googleapis-common-protos, google-crc32c, fasteners, fastavro, execnet, exceptiongroup, dill, cloudpickle, charset-normalizer, certifi, cachetools, attrs, sqlalchemy, scikit-learn, requests, pandas, oauth2client, mock, hypothesis, grpcio-status, google-resumable-media, google-auth, freezegun, deprecation, cffi, botocore, s3transfer, requests-oauthlib, requests_mock, 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, msal, google-cloud-vision, google-cloud-videointelligence, google-cloud-spanner, google-cloud-recommendations-ai, google-cloud-pubsub, google-cloud-language, google-cloud-dlp, google-cloud-datastore, google-cloud-bigtable, google-cloud-bigquery-storage, azure-storage-blob, msal-extensions, google-cloud-pubsublite, google-cloud-bigquery, azure-identity
Successfully installed PyJWT-2.6.0 apache-beam-2.44.0.dev0 attrs-22.1.0 azure-core-1.26.1 azure-identity-1.12.0 azure-storage-blob-12.14.1 boto3-1.26.20 botocore-1.29.20 cachetools-4.2.4 certifi-2022.9.24 cffi-1.15.1 charset-normalizer-2.1.1 cloudpickle-2.2.0 crcmod-1.7 cryptography-38.0.4 deprecation-2.1.0 dill-0.3.1.1 docker-6.0.1 docopt-0.6.2 exceptiongroup-1.0.4 execnet-1.9.0 fastavro-1.7.0 fasteners-0.18 freezegun-1.2.2 google-api-core-2.10.2 google-apitools-0.5.31 google-auth-2.14.1 google-auth-httplib2-0.1.0 google-cloud-bigquery-3.4.0 google-cloud-bigquery-storage-2.13.2 google-cloud-bigtable-1.7.3 google-cloud-core-2.3.2 google-cloud-datastore-1.15.5 google-cloud-dlp-3.9.2 google-cloud-language-1.3.2 google-cloud-pubsub-2.13.11 google-cloud-pubsublite-1.6.0 google-cloud-recommendations-ai-0.7.1 google-cloud-spanner-3.23.0 google-cloud-videointelligence-1.16.3 google-cloud-vision-3.1.4 google-crc32c-1.5.0 google-resumable-media-2.4.0 googleapis-common-protos-1.57.0 greenlet-2.0.1 grpc-google-iam-v1-0.12.4 grpcio-status-1.48.2 hdfs-2.7.0 httplib2-0.20.4 hypothesis-6.58.2 idna-3.4 iniconfig-1.1.1 isodate-0.6.1 jmespath-1.0.1 joblib-1.2.0 mock-2.0.0 msal-1.20.0 msal-extensions-1.0.0 msrest-0.7.1 oauth2client-4.1.3 oauthlib-3.2.2 objsize-0.6.1 orjson-3.8.2 overrides-6.5.0 pandas-1.3.5 parameterized-0.8.1 pbr-5.11.0 portalocker-2.6.0 proto-plus-1.22.1 psycopg2-binary-2.9.5 pyarrow-9.0.0 pyasn1-0.4.8 pyasn1-modules-0.2.8 pycparser-2.21 pydot-1.4.2 pyhamcrest-1.10.1 pymongo-3.13.0 pymysql-1.0.2 pytest-7.2.0 pytest-forked-1.4.0 pytest-timeout-2.1.0 pytest-xdist-2.5.0 python-dateutil-2.8.2 pytz-2022.6 pyyaml-6.0 regex-2022.10.31 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-1.4.44 sqlparse-0.4.3 tenacity-5.1.5 testcontainers-3.7.0 threadpoolctl-3.1.0 tomli-2.0.1 typing-extensions-4.4.0 urllib3-1.26.13 websocket-client-1.4.2 wrapt-1.14.1 zstandard-0.19.0
> Task :sdks:python:apache_beam:testing:load_tests:run
INFO:root:10000 out of 1000000 total elements in each window will be accessed.
INFO:apache_beam.runners.portability.stager:Copying Beam SDK "<https://ci-beam.apache.org/job/beam_LoadTests_Python_SideInput_Dataflow_Batch/ws/src/sdks/python/build/apache-beam.tar.gz"> to staging location.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.44.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/python37:beam-master-20221122
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/python37:beam-master-20221122" for Docker environment
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function pack_combiners at 0x7f74a94775f0> ====================
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function sort_stages at 0x7f74a9477dd0> ====================
INFO:apache_beam.runners.dataflow.internal.apiclient:Defaulting to the temp_location as staging_location: gs://temp-storage-for-perf-tests/loadtests
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/loadtests/load-tests-python-dataflow-batch-sideinput-1-1201100336.1669894178.586570/dataflow_python_sdk.tar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/loadtests/load-tests-python-dataflow-batch-sideinput-1-1201100336.1669894178.586570/dataflow_python_sdk.tar in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to gs://temp-storage-for-perf-tests/loadtests/load-tests-python-dataflow-batch-sideinput-1-1201100336.1669894178.586570/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/loadtests/load-tests-python-dataflow-batch-sideinput-1-1201100336.1669894178.586570/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20221201112938587506-9381'
createTime: '2022-12-01T11:29:39.978950Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2022-12-01_03_29_39-14333814211995906902'
location: 'us-central1'
name: 'load-tests-python-dataflow-batch-sideinput-1-1201100336'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2022-12-01T11:29:39.978950Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_BATCH, 1)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2022-12-01_03_29_39-14333814211995906902]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2022-12-01_03_29_39-14333814211995906902
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2022-12-01_03_29_39-14333814211995906902?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-12-01_03_29_39-14333814211995906902 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-01T11:29:39.322Z: JOB_MESSAGE_BASIC: Dataflow Runner V2 auto-enabled. Use --experiments=disable_runner_v2 to opt out.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-01T11:29:42.216Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-01T11:29:43.206Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-01T11:29:43.234Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-01T11:29:43.287Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-01T11:29:43.312Z: JOB_MESSAGE_DEBUG: Combiner lifting skipped for step Side input: create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey: GroupByKey not followed by a combiner.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-01T11:29:43.346Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-01T11:29:43.372Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-01T11:29:43.397Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-01T11:29:43.423Z: JOB_MESSAGE_DETAILED: Fusing consumer Side input: create/FlatMap(<lambda at core.py:3501>) into Side input: create/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-01T11:29:43.484Z: JOB_MESSAGE_DETAILED: Fusing consumer Side input: create/MaybeReshuffle/Reshuffle/AddRandomKeys into Side input: create/FlatMap(<lambda at core.py:3501>)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-01T11:29:43.508Z: JOB_MESSAGE_DETAILED: Fusing consumer Side input: create/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps) into Side input: create/MaybeReshuffle/Reshuffle/AddRandomKeys
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-01T11:29:43.533Z: JOB_MESSAGE_DETAILED: Fusing consumer Side input: create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Reify into Side input: create/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-01T11:29:43.559Z: JOB_MESSAGE_DETAILED: Fusing consumer Side input: create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Write into Side input: create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Reify
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-01T11:29:43.577Z: JOB_MESSAGE_DETAILED: Fusing consumer Side input: create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/GroupByWindow into Side input: create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Read
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-01T11:29:43.599Z: JOB_MESSAGE_DETAILED: Fusing consumer Side input: create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps) into Side input: create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/GroupByWindow
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-01T11:29:43.624Z: JOB_MESSAGE_DETAILED: Fusing consumer Side input: create/MaybeReshuffle/Reshuffle/RemoveRandomKeys into Side input: create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-01T11:29:43.656Z: JOB_MESSAGE_DETAILED: Fusing consumer Side input: create/Map(decode) into Side input: create/MaybeReshuffle/Reshuffle/RemoveRandomKeys
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-01T11:29:43.681Z: JOB_MESSAGE_DETAILED: Fusing consumer Get synthetic SDF options into Side input: create/Map(decode)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-01T11:29:43.712Z: JOB_MESSAGE_DETAILED: Fusing consumer ref_AppliedPTransform_Generate-input_20/PairWithRestriction into Get synthetic SDF options
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-01T11:29:43.745Z: JOB_MESSAGE_DETAILED: Fusing consumer ref_AppliedPTransform_Generate-input_20/SplitWithSizing into ref_AppliedPTransform_Generate-input_20/PairWithRestriction
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-01T11:29:43.771Z: JOB_MESSAGE_DETAILED: Fusing consumer Create/FlatMap(<lambda at core.py:3501>) into Create/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-01T11:29:43.797Z: JOB_MESSAGE_DETAILED: Fusing consumer Create/Map(decode) into Create/FlatMap(<lambda at core.py:3501>)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-01T11:29:43.815Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect start time metrics into Create/Map(decode)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-01T11:29:43.842Z: JOB_MESSAGE_DETAILED: Fusing consumer ParDo(MappingSideInputTestDoFn) into Collect start time metrics
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-01T11:29:43.874Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect end time metrics into ParDo(MappingSideInputTestDoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-01T11:29:43.903Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-01T11:29:43.933Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-01T11:29:43.962Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-01T11:29:43.980Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-01T11:29:44.108Z: JOB_MESSAGE_DEBUG: Executing wait step start21
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-01T11:29:44.166Z: JOB_MESSAGE_BASIC: Executing operation Side input: create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Create
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-01T11:29:44.205Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-01T11:29:44.235Z: JOB_MESSAGE_BASIC: Starting 10 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-01T11:29:44.699Z: JOB_MESSAGE_BASIC: Finished operation Side input: create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Create
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-01T11:29:44.743Z: JOB_MESSAGE_DEBUG: Value "Side input: create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Session" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-01T11:29:44.800Z: JOB_MESSAGE_BASIC: Executing operation Side input: create/Impulse+Side input: create/FlatMap(<lambda at core.py:3501>)+Side input: create/MaybeReshuffle/Reshuffle/AddRandomKeys+Side input: create/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps)+Side input: create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Reify+Side input: create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Write
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-12-01_03_29_39-14333814211995906902 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-01T11:29:58.117Z: JOB_MESSAGE_BASIC: Your project already contains 100 Dataflow-created metric descriptors, so new user metrics of the form custom.googleapis.com/* will not be created. However, all user metrics are also available in the metric dataflow.googleapis.com/job/user_counter. If you rely on the custom metrics, you can delete old / unused metric descriptors. See https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.list and https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.delete
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-01T11:30:26.122Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 8 based on the rate of progress in the currently running stage(s).
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-01T11:30:26.160Z: JOB_MESSAGE_DETAILED: Autoscaling: Resized **** pool to 8, though goal was 10. This could be a quota issue.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-01T11:30:36.532Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 10 based on the rate of progress in the currently running stage(s).
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-01T11:30:59.317Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-01T11:38:13.849Z: JOB_MESSAGE_DETAILED: All ****s have finished the startup processes and began to receive work requests.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-01T11:38:15.064Z: JOB_MESSAGE_BASIC: Finished operation Side input: create/Impulse+Side input: create/FlatMap(<lambda at core.py:3501>)+Side input: create/MaybeReshuffle/Reshuffle/AddRandomKeys+Side input: create/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps)+Side input: create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Reify+Side input: create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Write
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-01T11:38:15.139Z: JOB_MESSAGE_BASIC: Executing operation Side input: create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Close
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-01T11:38:15.196Z: JOB_MESSAGE_BASIC: Finished operation Side input: create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Close
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-01T11:38:15.256Z: JOB_MESSAGE_BASIC: Executing operation Side input: create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Read+Side input: create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/GroupByWindow+Side input: create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)+Side input: create/MaybeReshuffle/Reshuffle/RemoveRandomKeys+Side input: create/Map(decode)+Get synthetic SDF options+ref_AppliedPTransform_Generate-input_20/PairWithRestriction+ref_AppliedPTransform_Generate-input_20/SplitWithSizing
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-01T11:38:28.905Z: JOB_MESSAGE_BASIC: Finished operation Side input: create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Read+Side input: create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/GroupByWindow+Side input: create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)+Side input: create/MaybeReshuffle/Reshuffle/RemoveRandomKeys+Side input: create/Map(decode)+Get synthetic SDF options+ref_AppliedPTransform_Generate-input_20/PairWithRestriction+ref_AppliedPTransform_Generate-input_20/SplitWithSizing
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-01T11:38:28.966Z: JOB_MESSAGE_DEBUG: Value "ref_AppliedPTransform_Generate-input_20-split-with-sizing-out3" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-01T11:38:29.014Z: JOB_MESSAGE_BASIC: Executing operation ref_AppliedPTransform_Generate-input_20/ProcessElementAndRestrictionWithSizing
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-01T11:38:50.211Z: JOB_MESSAGE_BASIC: Finished operation ref_AppliedPTransform_Generate-input_20/ProcessElementAndRestrictionWithSizing
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-01T11:38:50.283Z: JOB_MESSAGE_DEBUG: Value "Generate input.None" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-01T11:38:50.362Z: JOB_MESSAGE_BASIC: Executing operation ParDo(MappingSideInputTestDoFn)/View-python_side_input0-ParDo(MappingSideInputTestDoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-01T11:38:50.420Z: JOB_MESSAGE_BASIC: Finished operation ParDo(MappingSideInputTestDoFn)/View-python_side_input0-ParDo(MappingSideInputTestDoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-01T11:38:50.482Z: JOB_MESSAGE_DEBUG: Value "ParDo(MappingSideInputTestDoFn)/View-python_side_input0-ParDo(MappingSideInputTestDoFn).out" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-01T11:38:50.547Z: JOB_MESSAGE_BASIC: Executing operation Create/Impulse+Create/FlatMap(<lambda at core.py:3501>)+Create/Map(decode)+Collect start time metrics+ParDo(MappingSideInputTestDoFn)+Collect end time metrics
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-01T11:38:53.343Z: JOB_MESSAGE_BASIC: Finished operation Create/Impulse+Create/FlatMap(<lambda at core.py:3501>)+Create/Map(decode)+Collect start time metrics+ParDo(MappingSideInputTestDoFn)+Collect end time metrics
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-01T11:38:53.407Z: JOB_MESSAGE_DEBUG: Executing success step success19
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-01T11:38:53.471Z: JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-01T11:38:53.531Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-01T11:38:53.562Z: JOB_MESSAGE_BASIC: Stopping **** pool...
Terminated
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INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-01T11:38:15.064Z: JOB_MESSAGE_BASIC: Finished operation Side input: create/Impulse+Side input: create/FlatMap(<lambda at core.py:3501>)+Side input: create/MaybeReshuffle/Reshuffle/AddRandomKeys+Side input: create/MaybeReshuffle/Reshuffle/ReshufflePerKey/Map(reify_timestamps)+Side input: create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Reify+Side input: create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Write
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-01T11:38:15.139Z: JOB_MESSAGE_BASIC: Executing operation Side input: create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Close
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-01T11:38:15.196Z: JOB_MESSAGE_BASIC: Finished operation Side input: create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Close
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-01T11:38:15.256Z: JOB_MESSAGE_BASIC: Executing operation Side input: create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Read+Side input: create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/GroupByWindow+Side input: create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)+Side input: create/MaybeReshuffle/Reshuffle/RemoveRandomKeys+Side input: create/Map(decode)+Get synthetic SDF options+ref_AppliedPTransform_Generate-input_20/PairWithRestriction+ref_AppliedPTransform_Generate-input_20/SplitWithSizing
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-01T11:38:28.905Z: JOB_MESSAGE_BASIC: Finished operation Side input: create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/Read+Side input: create/MaybeReshuffle/Reshuffle/ReshufflePerKey/GroupByKey/GroupByWindow+Side input: create/MaybeReshuffle/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)+Side input: create/MaybeReshuffle/Reshuffle/RemoveRandomKeys+Side input: create/Map(decode)+Get synthetic SDF options+ref_AppliedPTransform_Generate-input_20/PairWithRestriction+ref_AppliedPTransform_Generate-input_20/SplitWithSizing
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-01T11:38:28.966Z: JOB_MESSAGE_DEBUG: Value "ref_AppliedPTransform_Generate-input_20-split-with-sizing-out3" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-01T11:38:29.014Z: JOB_MESSAGE_BASIC: Executing operation ref_AppliedPTransform_Generate-input_20/ProcessElementAndRestrictionWithSizing
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-01T11:38:50.211Z: JOB_MESSAGE_BASIC: Finished operation ref_AppliedPTransform_Generate-input_20/ProcessElementAndRestrictionWithSizing
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-01T11:38:50.283Z: JOB_MESSAGE_DEBUG: Value "Generate input.None" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-01T11:38:50.362Z: JOB_MESSAGE_BASIC: Executing operation ParDo(MappingSideInputTestDoFn)/View-python_side_input0-ParDo(MappingSideInputTestDoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-01T11:38:50.420Z: JOB_MESSAGE_BASIC: Finished operation ParDo(MappingSideInputTestDoFn)/View-python_side_input0-ParDo(MappingSideInputTestDoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-01T11:38:50.482Z: JOB_MESSAGE_DEBUG: Value "ParDo(MappingSideInputTestDoFn)/View-python_side_input0-ParDo(MappingSideInputTestDoFn).out" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-01T11:38:50.547Z: JOB_MESSAGE_BASIC: Executing operation Create/Impulse+Create/FlatMap(<lambda at core.py:3501>)+Create/Map(decode)+Collect start time metrics+ParDo(MappingSideInputTestDoFn)+Collect end time metrics
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-01T11:38:53.343Z: JOB_MESSAGE_BASIC: Finished operation Create/Impulse+Create/FlatMap(<lambda at core.py:3501>)+Create/Map(decode)+Collect start time metrics+ParDo(MappingSideInputTestDoFn)+Collect end time metrics
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-01T11:38:53.407Z: JOB_MESSAGE_DEBUG: Executing success step success19
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-01T11:38:53.471Z: JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-01T11:38:53.531Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-01T11:38:53.562Z: JOB_MESSAGE_BASIC: Stopping **** pool...
Terminated
Daemon vm is shutting down... The daemon has exited normally or was terminated in response to a user interrupt.
----- End of the daemon log -----
FAILURE: Build failed with an exception.
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Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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