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Posted to builds@beam.apache.org by Apache Jenkins Server <je...@builds.apache.org> on 2022/07/27 20:01:38 UTC
Build failed in Jenkins: beam_LoadTests_Python_SideInput_Dataflow_Batch #656
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_SideInput_Dataflow_Batch/656/display/redirect?page=changes>
Changes:
[chamikaramj] Adds KV support for the Java RunInference transform.
[noreply] Replace distutils with supported modules. (#21968)
[noreply] Revert "Replace distutils with supported modules. " (#22453)
[noreply] Enable configuration to avoid successfully written Table Row propagation
[noreply] lint fixes for recent import (#22455)
[noreply] Bump Python Combine LoadTests timeout to 12 hours (#22439)
[noreply] convert windmill min timestamp to beam min timestamp (#21915)
[noreply] [CdapIO] Fixed necessary warnings (#22399)
[noreply] [#22051]: Add read_time support to Google Cloud Datastore connector
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> Task :sdks:python:apache_beam:testing:load_tests:run
INFO:root:100 out of 10000 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:2.41.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/python37:beam-master-20220617
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/python37:beam-master-20220617" for Docker environment
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function pack_combiners at 0x7f89b74ca680> ====================
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function sort_stages at 0x7f89b74cae60> ====================
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-9-0727100323.1658936042.009449/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-9-0727100323.1658936042.009449/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-9-0727100323.1658936042.009449/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-9-0727100323.1658936042.009449/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
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INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2022-07-27_08_34_02-12714683022969324420]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2022-07-27_08_34_02-12714683022969324420
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2022-07-27_08_34_02-12714683022969324420?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-27_08_34_02-12714683022969324420 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-27T15:34:05.026Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-27T15:34:06.446Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-27T15:34:06.479Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-27T15:34:06.508Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-27T15:34:06.543Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-27T15:34:06.614Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-27T15:34:06.642Z: JOB_MESSAGE_DETAILED: Fusing consumer Get synthetic SDF options into Apply windows
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-27T15:34:06.677Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect start time metrics into Apply windows
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-27T15:34:06.701Z: JOB_MESSAGE_DETAILED: Fusing consumer Assign timestamps into Create/Read
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-27T15:34:06.730Z: JOB_MESSAGE_DETAILED: Fusing consumer Apply windows into Assign timestamps
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-27T15:34:06.754Z: JOB_MESSAGE_DETAILED: Fusing consumer Generate input into Get synthetic SDF options
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-27T15:34:06.788Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect end time metrics into ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-27T15:34:06.816Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-27T15:34:06.851Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-27T15:34:06.884Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-27T15:34:06.918Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-27T15:34:07.088Z: JOB_MESSAGE_DEBUG: Executing wait step start4
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-27T15:34:07.161Z: JOB_MESSAGE_BASIC: Executing operation Create/Read+Assign timestamps+Apply windows+Get synthetic SDF options+Collect start time metrics+Generate input
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-27T15:34:07.233Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-27T15:34:07.272Z: JOB_MESSAGE_BASIC: Starting 10 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-27_08_34_02-12714683022969324420 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-27T15:34:18.502Z: 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:2022-07-27T15:34:41.155Z: 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:2022-07-27T15:35:07.169Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-27T15:41:41.150Z: JOB_MESSAGE_BASIC: Finished operation Create/Read+Assign timestamps+Apply windows+Get synthetic SDF options+Collect start time metrics+Generate input
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-27T15:41:41.291Z: JOB_MESSAGE_DEBUG: Value "Collect start time metrics.out" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-27T15:41:41.326Z: JOB_MESSAGE_DEBUG: Value "Generate input.out" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-27T15:41:41.462Z: JOB_MESSAGE_BASIC: Executing operation ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-27T15:41:41.518Z: JOB_MESSAGE_BASIC: Finished operation ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-27T15:41:41.596Z: JOB_MESSAGE_DEBUG: Value "ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0).output" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-27T15:41:41.661Z: JOB_MESSAGE_BASIC: Executing operation ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)+Collect end time metrics
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-27T20:00:38.558Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2022-07-27_08_34_02-12714683022969324420.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-27T20:00:38.622Z: JOB_MESSAGE_BASIC: Finished operation ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)+Collect end time metrics
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-27T20:00:38.795Z: JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-27T20:00:38.944Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-27T20:00:38.981Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-27_08_34_02-12714683022969324420 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-27T20:01:24.080Z: JOB_MESSAGE_DETAILED: Autoscaling: Resized **** pool from 10 to 0.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-27T20:01:24.158Z: JOB_MESSAGE_BASIC: Worker pool stopped.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-27T20:01:24.197Z: JOB_MESSAGE_DEBUG: Tearing down pending resources...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-27_08_34_02-12714683022969324420 is in state JOB_STATE_CANCELLED
ERROR:apache_beam.runners.dataflow.dataflow_runner:Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2022-07-27_08_34_02-12714683022969324420?project=<ProjectId>
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_SideInput_Dataflow_Batch/ws/src/sdks/python/apache_beam/testing/load_tests/sideinput_test.py",> line 216, in <module>
SideInputTest().run()
File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_SideInput_Dataflow_Batch/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_SideInput_Dataflow_Batch/ws/src/sdks/python/apache_beam/runners/dataflow/dataflow_runner.py",> line 1676, in wait_until_finish
self)
apache_beam.runners.dataflow.dataflow_runner.DataflowRuntimeException: Dataflow pipeline failed. State: CANCELLED, Error:
None
> 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_SideInput_Dataflow_Batch/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58
* 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.
> Run with --scan to get full insights.
* 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/7.4/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 4h 29m 2s
15 actionable tasks: 3 executed, 12 up-to-date
Publishing build scan...
https://gradle.com/s/mmfmnzkgdfiay
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_SideInput_Dataflow_Batch/662/display/redirect?page=changes>
Changes:
[noreply] Exclude grpcio==1.48.0 (#22539)
[noreply] Merge PR #22304 fixing #22331 fixing JDBC IO IT
[noreply] Update pytest to support Python 3.10 (#22055)
[noreply] Update the imprecise link. (#22549)
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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-2.42.0.dev0-py3-none-any.whl size=2829788 sha256=e1c58fdd9a113130edbf1661ab04d36e57ae5d54cb9affa5b330585b51fce551
Stored in directory: /home/jenkins/.cache/pip/wheels/c1/f5/a3/8f5ec48b796c1b690bd340ec7688fb88886afa83d7f14ff737
Successfully built apache-beam
Installing collected packages: pytz, pyasn1, parameterized, iniconfig, docopt, crcmod, wrapt, websocket-client, urllib3, typing-utils, typing-extensions, tomli, threadpoolctl, tenacity, rsa, pyyaml, python-dateutil, pymysql, pymongo, pyhamcrest, pydot, pycparser, pyasn1-modules, psycopg2-binary, proto-plus, pbr, orjson, 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, overrides, 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-2.42.0.dev0 attrs-22.1.0 azure-core-1.24.2 azure-storage-blob-12.13.0 boto3-1.24.43 botocore-1.27.43 cachetools-4.2.4 certifi-2022.6.15 cffi-1.15.1 charset-normalizer-2.1.0 cloudpickle-2.1.0 crcmod-1.7 cryptography-37.0.4 deprecation-2.1.0 dill-0.3.1.1 docker-5.0.3 docopt-0.6.2 execnet-1.9.0 fastavro-1.5.4 fasteners-0.17.3 freezegun-1.2.1 google-api-core-2.8.1 google-apitools-0.5.31 google-auth-2.9.1 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-3.8.0 google-cloud-language-1.3.2 google-cloud-pubsub-2.13.4 google-cloud-pubsublite-1.4.2 google-cloud-recommendations-ai-0.7.0 google-cloud-spanner-1.19.3 google-cloud-videointelligence-1.16.3 google-cloud-vision-1.0.2 google-crc32c-1.3.0 google-resumable-media-2.3.3 googleapis-common-protos-1.56.4 greenlet-1.1.2 grpc-google-iam-v1-0.12.4 grpcio-gcp-0.2.2 grpcio-status-1.47.0 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-3.2.0 orjson-3.7.11 overrides-6.1.0 pandas-1.3.5 parameterized-0.8.1 pbr-5.9.0 proto-plus-1.20.6 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-7.1.2 pytest-forked-1.4.0 pytest-timeout-2.1.0 pytest-xdist-2.5.0 python-dateutil-2.8.2 pytz-2022.1 pyyaml-6.0 requests-2.28.1 requests-oauthlib-1.3.1 requests_mock-1.9.3 rsa-4.9 s3transfer-0.6.0 scikit-learn-1.0.2 scipy-1.7.3 sqlalchemy-1.4.39 tenacity-5.1.5 testcontainers-3.6.0 threadpoolctl-3.1.0 tomli-2.0.1 typing-extensions-4.3.0 typing-utils-0.1.0 urllib3-1.26.11 websocket-client-1.3.3 wrapt-1.14.1
> Task :sdks:python:apache_beam:testing:load_tests:run
INFO:root:100 out of 10000 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:2.42.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/python37:beam-master-20220617
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/python37:beam-master-20220617" for Docker environment
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function pack_combiners at 0x7f017c8013b0> ====================
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function sort_stages at 0x7f017c801b90> ====================
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-9-0802100306.1659455667.318748/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-9-0802100306.1659455667.318748/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-9-0802100306.1659455667.318748/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-9-0802100306.1659455667.318748/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
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location: 'us-central1'
name: 'load-tests-python-dataflow-batch-sideinput-9-0802100306'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2022-08-02T15:54:28.283044Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_BATCH, 1)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2022-08-02_08_54_27-3139748959172958387]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2022-08-02_08_54_27-3139748959172958387
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2022-08-02_08_54_27-3139748959172958387?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-08-02_08_54_27-3139748959172958387 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-02T15:54:30.708Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-02T15:54:31.674Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-02T15:54:31.707Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-02T15:54:31.727Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-02T15:54:31.748Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-02T15:54:31.781Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-02T15:54:31.805Z: JOB_MESSAGE_DETAILED: Fusing consumer Get synthetic SDF options into Apply windows
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-02T15:54:31.868Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect start time metrics into Apply windows
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-02T15:54:31.889Z: JOB_MESSAGE_DETAILED: Fusing consumer Assign timestamps into Create/Read
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-02T15:54:31.910Z: JOB_MESSAGE_DETAILED: Fusing consumer Apply windows into Assign timestamps
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-02T15:54:31.926Z: JOB_MESSAGE_DETAILED: Fusing consumer Generate input into Get synthetic SDF options
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-02T15:54:31.947Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect end time metrics into ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-02T15:54:31.975Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-02T15:54:32.001Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-02T15:54:32.024Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-02T15:54:32.046Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-02T15:54:32.178Z: JOB_MESSAGE_DEBUG: Executing wait step start4
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-02T15:54:32.239Z: JOB_MESSAGE_BASIC: Executing operation Create/Read+Assign timestamps+Apply windows+Get synthetic SDF options+Collect start time metrics+Generate input
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-02T15:54:32.271Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-02T15:54:32.299Z: JOB_MESSAGE_BASIC: Starting 10 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-08-02_08_54_27-3139748959172958387 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-02T15:54:50.817Z: 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:2022-08-02T15:55:07.647Z: 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:2022-08-02T15:55:35.454Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-02T16:02:29.674Z: JOB_MESSAGE_BASIC: Finished operation Create/Read+Assign timestamps+Apply windows+Get synthetic SDF options+Collect start time metrics+Generate input
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-02T16:02:29.758Z: JOB_MESSAGE_DEBUG: Value "Collect start time metrics.out" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-02T16:02:29.781Z: JOB_MESSAGE_DEBUG: Value "Generate input.out" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-02T16:02:29.850Z: JOB_MESSAGE_BASIC: Executing operation ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-02T16:02:29.898Z: JOB_MESSAGE_BASIC: Finished operation ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-02T16:02:29.965Z: JOB_MESSAGE_DEBUG: Value "ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0).output" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-02T16:02:30.033Z: JOB_MESSAGE_BASIC: Executing operation ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)+Collect end time metrics
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-08-02_08_54_27-3139748959172958387 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-02T20:00:36.630Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2022-08-02_08_54_27-3139748959172958387.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-02T20:00:36.656Z: JOB_MESSAGE_BASIC: Finished operation ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)+Collect end time metrics
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-02T20:00:36.804Z: JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-02T20:00:38.771Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-02T20:00:38.801Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-02T20:01:14.580Z: JOB_MESSAGE_DETAILED: Autoscaling: Resized **** pool from 10 to 0.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-02T20:01:14.641Z: JOB_MESSAGE_BASIC: Worker pool stopped.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-02T20:01:14.672Z: JOB_MESSAGE_DEBUG: Tearing down pending resources...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-08-02_08_54_27-3139748959172958387 is in state JOB_STATE_CANCELLED
ERROR:apache_beam.runners.dataflow.dataflow_runner:Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2022-08-02_08_54_27-3139748959172958387?project=<ProjectId>
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_SideInput_Dataflow_Batch/ws/src/sdks/python/apache_beam/testing/load_tests/sideinput_test.py",> line 216, in <module>
SideInputTest().run()
File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_SideInput_Dataflow_Batch/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_SideInput_Dataflow_Batch/ws/src/sdks/python/apache_beam/runners/dataflow/dataflow_runner.py",> line 1676, in wait_until_finish
self)
apache_beam.runners.dataflow.dataflow_runner.DataflowRuntimeException: Dataflow pipeline failed. State: CANCELLED, Error:
None
> 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_SideInput_Dataflow_Batch/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58
* 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.
> Run with --scan to get full insights.
* 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/7.4/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 4h 8m 12s
15 actionable tasks: 4 executed, 11 up-to-date
Publishing build scan...
https://gradle.com/s/x2pri46kfdydg
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_SideInput_Dataflow_Batch #661
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_SideInput_Dataflow_Batch/661/display/redirect>
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Successfully installed apache-beam-2.42.0.dev0 atomicwrites-1.4.1 attrs-22.1.0 azure-core-1.24.2 azure-storage-blob-12.13.0 boto3-1.24.42 botocore-1.27.42 cachetools-4.2.4 certifi-2022.6.15 cffi-1.15.1 charset-normalizer-2.1.0 cloudpickle-2.1.0 crcmod-1.7 cryptography-37.0.4 deprecation-2.1.0 dill-0.3.1.1 docker-5.0.3 docopt-0.6.2 execnet-1.9.0 fastavro-1.5.4 fasteners-0.17.3 freezegun-1.2.1 google-api-core-2.8.1 google-apitools-0.5.31 google-auth-2.9.1 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-3.8.0 google-cloud-language-1.3.2 google-cloud-pubsub-2.13.4 google-cloud-pubsublite-1.4.2 google-cloud-recommendations-ai-0.7.0 google-cloud-spanner-1.19.3 google-cloud-videointelligence-1.16.3 google-cloud-vision-1.0.2 google-crc32c-1.3.0 google-resumable-media-2.3.3 googleapis-common-protos-1.56.4 greenlet-1.1.2 grpc-google-iam-v1-0.12.4 grpcio-gcp-0.2.2 grpcio-status-1.48.0 hdfs-2.7.0 httplib2-0.20.4 idna-3.3 isodate-0.6.1 jmespath-1.0.1 joblib-1.1.0 mock-2.0.0 more-itertools-8.13.0 msrest-0.7.1 numpy-1.21.6 oauth2client-4.1.3 oauthlib-3.2.0 orjson-3.7.11 overrides-6.1.0 pandas-1.3.5 parameterized-0.8.1 pbr-5.9.0 pluggy-0.13.1 proto-plus-1.20.6 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-4.6.11 pytest-forked-1.4.0 pytest-timeout-1.4.2 pytest-xdist-1.34.0 python-dateutil-2.8.2 pytz-2022.1 pyyaml-6.0 requests-2.28.1 requests-oauthlib-1.3.1 requests_mock-1.9.3 rsa-4.9 s3transfer-0.6.0 scikit-learn-1.0.2 scipy-1.7.3 sqlalchemy-1.4.39 tenacity-5.1.5 testcontainers-3.6.0 threadpoolctl-3.1.0 typing-extensions-4.3.0 typing-utils-0.1.0 urllib3-1.26.11 wcwidth-0.2.5 websocket-client-1.3.3 wrapt-1.14.1
> Task :sdks:python:apache_beam:testing:load_tests:run
INFO:root:100 out of 10000 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:2.42.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/python37:beam-master-20220617
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/python37:beam-master-20220617" for Docker environment
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function pack_combiners at 0x7ffa79acc4d0> ====================
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function sort_stages at 0x7ffa79acccb0> ====================
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-9-0801100317.1659370077.022022/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-9-0801100317.1659370077.022022/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-9-0801100317.1659370077.022022/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-9-0801100317.1659370077.022022/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20220801160757023183-9534'
createTime: '2022-08-01T16:08:00.649239Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2022-08-01_09_07_57-16959705140972151206'
location: 'us-central1'
name: 'load-tests-python-dataflow-batch-sideinput-9-0801100317'
projectId: 'apache-beam-testing'
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startTime: '2022-08-01T16:08:00.649239Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_BATCH, 1)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2022-08-01_09_07_57-16959705140972151206]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2022-08-01_09_07_57-16959705140972151206
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2022-08-01_09_07_57-16959705140972151206?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-08-01_09_07_57-16959705140972151206 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-01T16:08:02.845Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-c.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-01T16:08:04.793Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-01T16:08:04.844Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-01T16:08:04.874Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-01T16:08:04.904Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-01T16:08:04.940Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-01T16:08:04.994Z: JOB_MESSAGE_DETAILED: Fusing consumer Get synthetic SDF options into Apply windows
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-01T16:08:05.025Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect start time metrics into Apply windows
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-01T16:08:05.052Z: JOB_MESSAGE_DETAILED: Fusing consumer Assign timestamps into Create/Read
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-01T16:08:05.074Z: JOB_MESSAGE_DETAILED: Fusing consumer Apply windows into Assign timestamps
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-01T16:08:05.097Z: JOB_MESSAGE_DETAILED: Fusing consumer Generate input into Get synthetic SDF options
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-01T16:08:05.125Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect end time metrics into ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-01T16:08:05.163Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-01T16:08:05.196Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-01T16:08:05.232Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-01T16:08:05.258Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-01T16:08:05.449Z: JOB_MESSAGE_DEBUG: Executing wait step start4
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-01T16:08:05.523Z: JOB_MESSAGE_BASIC: Executing operation Create/Read+Assign timestamps+Apply windows+Get synthetic SDF options+Collect start time metrics+Generate input
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-01T16:08:05.628Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-01T16:08:05.659Z: JOB_MESSAGE_BASIC: Starting 10 ****s in us-central1-c...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-08-01_09_07_57-16959705140972151206 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-01T16:08:14.366Z: 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:2022-08-01T16:08:41.541Z: 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:2022-08-01T16:09:07.279Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-01T16:15:59.411Z: JOB_MESSAGE_BASIC: Finished operation Create/Read+Assign timestamps+Apply windows+Get synthetic SDF options+Collect start time metrics+Generate input
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-01T16:16:04.553Z: JOB_MESSAGE_DEBUG: Value "Collect start time metrics.out" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-01T16:16:04.585Z: JOB_MESSAGE_DEBUG: Value "Generate input.out" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-01T16:16:04.646Z: JOB_MESSAGE_BASIC: Executing operation ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-01T16:16:09.705Z: JOB_MESSAGE_BASIC: Finished operation ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-01T16:16:09.771Z: JOB_MESSAGE_DEBUG: Value "ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0).output" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-01T16:16:14.840Z: JOB_MESSAGE_BASIC: Executing operation ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)+Collect end time metrics
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-01T20:00:39.299Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2022-08-01_09_07_57-16959705140972151206.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-01T20:00:39.324Z: JOB_MESSAGE_BASIC: Finished operation ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)+Collect end time metrics
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-01T20:00:39.509Z: JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-01T20:00:39.744Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-01T20:00:39.770Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-08-01_09_07_57-16959705140972151206 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-01T20:01:19.463Z: JOB_MESSAGE_DETAILED: Autoscaling: Resized **** pool from 10 to 0.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-01T20:01:21.505Z: JOB_MESSAGE_BASIC: Worker pool stopped.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-01T20:01:21.523Z: JOB_MESSAGE_DEBUG: Tearing down pending resources...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-08-01_09_07_57-16959705140972151206 is in state JOB_STATE_CANCELLED
ERROR:apache_beam.runners.dataflow.dataflow_runner:Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2022-08-01_09_07_57-16959705140972151206?project=<ProjectId>
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_SideInput_Dataflow_Batch/ws/src/sdks/python/apache_beam/testing/load_tests/sideinput_test.py",> line 216, in <module>
SideInputTest().run()
File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_SideInput_Dataflow_Batch/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_SideInput_Dataflow_Batch/ws/src/sdks/python/apache_beam/runners/dataflow/dataflow_runner.py",> line 1676, in wait_until_finish
self)
apache_beam.runners.dataflow.dataflow_runner.DataflowRuntimeException: Dataflow pipeline failed. State: CANCELLED, Error:
None
> 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_SideInput_Dataflow_Batch/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58
* 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.
> Run with --scan to get full insights.
* 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/7.4/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 3h 55m 1s
15 actionable tasks: 3 executed, 12 up-to-date
Publishing build scan...
https://gradle.com/s/bxv32vshn6pei
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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Collecting docker>=4.0.0
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WARNING: google-api-core 2.8.2 does not provide the extra 'grpcgcp'
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Requirement already satisfied: zipp>=0.5 in <https://ci-beam.apache.org/job/beam_LoadTests_Python_SideInput_Dataflow_Batch/ws/src/build/gradleenv/1329484227/lib/python3.7/site-packages> (from importlib-metadata>=0.12->pytest<5.0,>=4.4.0->apache-beam==2.42.0.dev0) (3.8.1)
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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-2.42.0.dev0-py3-none-any.whl size=2829783 sha256=d128fbe0474b6c678d8046b862dffc7cb26a5f10c556bff7bf4daa4014b0e436
Stored in directory: /home/jenkins/.cache/pip/wheels/c1/f5/a3/8f5ec48b796c1b690bd340ec7688fb88886afa83d7f14ff737
Successfully built apache-beam
Installing collected packages: wcwidth, pytz, pyasn1, parameterized, docopt, crcmod, wrapt, websocket-client, urllib3, typing-utils, typing-extensions, threadpoolctl, tenacity, rsa, pyyaml, python-dateutil, pymysql, pymongo, pyhamcrest, pydot, pycparser, pyasn1-modules, psycopg2-binary, proto-plus, pbr, orjson, oauthlib, numpy, more-itertools, joblib, jmespath, isodate, idna, httplib2, greenlet, googleapis-common-protos, google-crc32c, fasteners, fastavro, execnet, dill, cloudpickle, charset-normalizer, certifi, cachetools, attrs, atomicwrites, sqlalchemy, scipy, requests, pyarrow, pluggy, pandas, overrides, 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
Attempting uninstall: pluggy
Found existing installation: pluggy 1.0.0
Uninstalling pluggy-1.0.0:
Successfully uninstalled pluggy-1.0.0
Successfully installed apache-beam-2.42.0.dev0 atomicwrites-1.4.1 attrs-22.1.0 azure-core-1.24.2 azure-storage-blob-12.13.0 boto3-1.24.42 botocore-1.27.42 cachetools-4.2.4 certifi-2022.6.15 cffi-1.15.1 charset-normalizer-2.1.0 cloudpickle-2.1.0 crcmod-1.7 cryptography-37.0.4 deprecation-2.1.0 dill-0.3.1.1 docker-5.0.3 docopt-0.6.2 execnet-1.9.0 fastavro-1.5.4 fasteners-0.17.3 freezegun-1.2.1 google-api-core-2.8.1 google-apitools-0.5.31 google-auth-2.9.1 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-3.8.0 google-cloud-language-1.3.2 google-cloud-pubsub-2.13.4 google-cloud-pubsublite-1.4.2 google-cloud-recommendations-ai-0.7.0 google-cloud-spanner-1.19.3 google-cloud-videointelligence-1.16.3 google-cloud-vision-1.0.2 google-crc32c-1.3.0 google-resumable-media-2.3.3 googleapis-common-protos-1.56.4 greenlet-1.1.2 grpc-google-iam-v1-0.12.4 grpcio-gcp-0.2.2 grpcio-status-1.48.0 hdfs-2.7.0 httplib2-0.20.4 idna-3.3 isodate-0.6.1 jmespath-1.0.1 joblib-1.1.0 mock-2.0.0 more-itertools-8.13.0 msrest-0.7.1 numpy-1.21.6 oauth2client-4.1.3 oauthlib-3.2.0 orjson-3.7.11 overrides-6.1.0 pandas-1.3.5 parameterized-0.8.1 pbr-5.9.0 pluggy-0.13.1 proto-plus-1.20.6 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-4.6.11 pytest-forked-1.4.0 pytest-timeout-1.4.2 pytest-xdist-1.34.0 python-dateutil-2.8.2 pytz-2022.1 pyyaml-6.0 requests-2.28.1 requests-oauthlib-1.3.1 requests_mock-1.9.3 rsa-4.9 s3transfer-0.6.0 scikit-learn-1.0.2 scipy-1.7.3 sqlalchemy-1.4.39 tenacity-5.1.5 testcontainers-3.6.0 threadpoolctl-3.1.0 typing-extensions-4.3.0 typing-utils-0.1.0 urllib3-1.26.11 wcwidth-0.2.5 websocket-client-1.3.3 wrapt-1.14.1
> Task :sdks:python:apache_beam:testing:load_tests:run
INFO:root:100 out of 10000 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:2.42.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/python37:beam-master-20220617
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/python37:beam-master-20220617" for Docker environment
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function pack_combiners at 0x7f37bf7f54d0> ====================
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function sort_stages at 0x7f37bf7f5cb0> ====================
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-9-0731100310.1659283284.378589/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-9-0731100310.1659283284.378589/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-9-0731100310.1659283284.378589/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-9-0731100310.1659283284.378589/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20220731160124379576-2435'
createTime: '2022-07-31T16:01:25.221117Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2022-07-31_09_01_24-6655297568404911176'
location: 'us-central1'
name: 'load-tests-python-dataflow-batch-sideinput-9-0731100310'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2022-07-31T16:01:25.221117Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_BATCH, 1)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2022-07-31_09_01_24-6655297568404911176]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2022-07-31_09_01_24-6655297568404911176
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2022-07-31_09_01_24-6655297568404911176?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-31_09_01_24-6655297568404911176 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-31T16:01:27.648Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-31T16:01:28.882Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-31T16:01:28.921Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-31T16:01:28.956Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-31T16:01:28.991Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-31T16:01:29.019Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-31T16:01:29.055Z: JOB_MESSAGE_DETAILED: Fusing consumer Get synthetic SDF options into Apply windows
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-31T16:01:29.087Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect start time metrics into Apply windows
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-31T16:01:29.121Z: JOB_MESSAGE_DETAILED: Fusing consumer Assign timestamps into Create/Read
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-31T16:01:29.154Z: JOB_MESSAGE_DETAILED: Fusing consumer Apply windows into Assign timestamps
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-31T16:01:29.188Z: JOB_MESSAGE_DETAILED: Fusing consumer Generate input into Get synthetic SDF options
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-31T16:01:29.209Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect end time metrics into ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-31T16:01:29.244Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-31T16:01:29.274Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-31T16:01:29.298Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-31T16:01:29.330Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-31T16:01:29.472Z: JOB_MESSAGE_DEBUG: Executing wait step start4
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-31T16:01:29.537Z: JOB_MESSAGE_BASIC: Executing operation Create/Read+Assign timestamps+Apply windows+Get synthetic SDF options+Collect start time metrics+Generate input
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-31T16:01:29.586Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-31T16:01:29.627Z: JOB_MESSAGE_BASIC: Starting 10 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-31_09_01_24-6655297568404911176 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-31T16:01:39.894Z: 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:2022-07-31T16:02:04.546Z: 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:2022-07-31T16:02:27.688Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-31T16:08:39.777Z: JOB_MESSAGE_BASIC: Finished operation Create/Read+Assign timestamps+Apply windows+Get synthetic SDF options+Collect start time metrics+Generate input
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-31T16:08:39.858Z: JOB_MESSAGE_DEBUG: Value "Collect start time metrics.out" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-31T16:08:39.889Z: JOB_MESSAGE_DEBUG: Value "Generate input.out" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-31T16:08:39.937Z: JOB_MESSAGE_BASIC: Executing operation ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-31T16:08:39.980Z: JOB_MESSAGE_BASIC: Finished operation ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-31T16:08:40.046Z: JOB_MESSAGE_DEBUG: Value "ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0).output" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-31T16:08:40.107Z: JOB_MESSAGE_BASIC: Executing operation ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)+Collect end time metrics
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-31T20:00:37.942Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2022-07-31_09_01_24-6655297568404911176.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-31T20:00:37.967Z: JOB_MESSAGE_BASIC: Finished operation ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)+Collect end time metrics
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-31T20:00:38.089Z: JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-31T20:00:38.183Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-31T20:00:38.205Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-31_09_01_24-6655297568404911176 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-31T20:01:17.493Z: JOB_MESSAGE_DETAILED: Autoscaling: Resized **** pool from 10 to 0.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-31T20:01:17.529Z: JOB_MESSAGE_BASIC: Worker pool stopped.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-31T20:01:17.555Z: JOB_MESSAGE_DEBUG: Tearing down pending resources...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-31_09_01_24-6655297568404911176 is in state JOB_STATE_CANCELLED
ERROR:apache_beam.runners.dataflow.dataflow_runner:Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2022-07-31_09_01_24-6655297568404911176?project=<ProjectId>
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_SideInput_Dataflow_Batch/ws/src/sdks/python/apache_beam/testing/load_tests/sideinput_test.py",> line 216, in <module>
SideInputTest().run()
File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_SideInput_Dataflow_Batch/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_SideInput_Dataflow_Batch/ws/src/sdks/python/apache_beam/runners/dataflow/dataflow_runner.py",> line 1676, in wait_until_finish
self)
apache_beam.runners.dataflow.dataflow_runner.DataflowRuntimeException: Dataflow pipeline failed. State: CANCELLED, Error:
None
> 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_SideInput_Dataflow_Batch/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58
* 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.
> Run with --scan to get full insights.
* 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/7.4/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 4h 1m 11s
15 actionable tasks: 3 executed, 12 up-to-date
Publishing build scan...
https://gradle.com/s/pbmx4jezjasqw
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_SideInput_Dataflow_Batch #659
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_SideInput_Dataflow_Batch/659/display/redirect?page=changes>
Changes:
[noreply] Bump google.golang.org/protobuf from 1.28.0 to 1.28.1 in /sdks (#22517)
[noreply] Bump google.golang.org/api from 0.89.0 to 0.90.0 in /sdks (#22518)
[noreply] Change _build import from setuptools to distutils (#22503)
[noreply] Remove stringx package (#22534)
[noreply] Improve concrete error message (#22536)
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Requirement already satisfied: six>=1.11.0 in <https://ci-beam.apache.org/job/beam_LoadTests_Python_SideInput_Dataflow_Batch/ws/src/build/gradleenv/1329484227/lib/python3.7/site-packages> (from azure-core>=1.7.0->apache-beam==2.42.0.dev0) (1.16.0)
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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-2.42.0.dev0-py3-none-any.whl size=2829783 sha256=db739de7cebb60fe0b60a4ff1e7420f9706a4b906c12f6804dfd5061c0f1e033
Stored in directory: /home/jenkins/.cache/pip/wheels/c1/f5/a3/8f5ec48b796c1b690bd340ec7688fb88886afa83d7f14ff737
Successfully built apache-beam
Installing collected packages: wcwidth, pytz, pyasn1, parameterized, docopt, crcmod, wrapt, websocket-client, urllib3, typing-utils, typing-extensions, threadpoolctl, tenacity, rsa, pyyaml, python-dateutil, pymysql, pymongo, pyhamcrest, pydot, pycparser, pyasn1-modules, psycopg2-binary, proto-plus, pbr, orjson, oauthlib, numpy, more-itertools, joblib, jmespath, isodate, idna, httplib2, greenlet, googleapis-common-protos, google-crc32c, fasteners, fastavro, execnet, dill, cloudpickle, charset-normalizer, certifi, cachetools, attrs, atomicwrites, sqlalchemy, scipy, requests, pyarrow, pluggy, pandas, overrides, 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
Attempting uninstall: pluggy
Found existing installation: pluggy 1.0.0
Uninstalling pluggy-1.0.0:
Successfully uninstalled pluggy-1.0.0
Successfully installed apache-beam-2.42.0.dev0 atomicwrites-1.4.1 attrs-22.1.0 azure-core-1.24.2 azure-storage-blob-12.13.0 boto3-1.24.41 botocore-1.27.41 cachetools-4.2.4 certifi-2022.6.15 cffi-1.15.1 charset-normalizer-2.1.0 cloudpickle-2.1.0 crcmod-1.7 cryptography-37.0.4 deprecation-2.1.0 dill-0.3.1.1 docker-5.0.3 docopt-0.6.2 execnet-1.9.0 fastavro-1.5.4 fasteners-0.17.3 freezegun-1.2.1 google-api-core-2.8.1 google-apitools-0.5.31 google-auth-2.9.1 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-3.8.0 google-cloud-language-1.3.2 google-cloud-pubsub-2.13.4 google-cloud-pubsublite-1.4.2 google-cloud-recommendations-ai-0.7.0 google-cloud-spanner-1.19.3 google-cloud-videointelligence-1.16.3 google-cloud-vision-1.0.2 google-crc32c-1.3.0 google-resumable-media-2.3.3 googleapis-common-protos-1.56.4 greenlet-1.1.2 grpc-google-iam-v1-0.12.4 grpcio-gcp-0.2.2 grpcio-status-1.48.0 hdfs-2.7.0 httplib2-0.20.4 idna-3.3 isodate-0.6.1 jmespath-1.0.1 joblib-1.1.0 mock-2.0.0 more-itertools-8.13.0 msrest-0.7.1 numpy-1.21.6 oauth2client-4.1.3 oauthlib-3.2.0 orjson-3.7.10 overrides-6.1.0 pandas-1.3.5 parameterized-0.8.1 pbr-5.9.0 pluggy-0.13.1 proto-plus-1.20.6 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-4.6.11 pytest-forked-1.4.0 pytest-timeout-1.4.2 pytest-xdist-1.34.0 python-dateutil-2.8.2 pytz-2022.1 pyyaml-6.0 requests-2.28.1 requests-oauthlib-1.3.1 requests_mock-1.9.3 rsa-4.9 s3transfer-0.6.0 scikit-learn-1.0.2 scipy-1.7.3 sqlalchemy-1.4.39 tenacity-5.1.5 testcontainers-3.6.0 threadpoolctl-3.1.0 typing-extensions-4.3.0 typing-utils-0.1.0 urllib3-1.26.11 wcwidth-0.2.5 websocket-client-1.3.3 wrapt-1.14.1
> Task :sdks:python:apache_beam:testing:load_tests:run
INFO:root:100 out of 10000 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:2.42.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/python37:beam-master-20220617
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/python37:beam-master-20220617" for Docker environment
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function pack_combiners at 0x7f7bc0a664d0> ====================
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function sort_stages at 0x7f7bc0a66cb0> ====================
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-9-0730100307.1659195881.074940/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-9-0730100307.1659195881.074940/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-9-0730100307.1659195881.074940/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-9-0730100307.1659195881.074940/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20220730154441076059-2357'
createTime: '2022-07-30T15:44:42.018612Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2022-07-30_08_44_41-16327355937685962842'
location: 'us-central1'
name: 'load-tests-python-dataflow-batch-sideinput-9-0730100307'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2022-07-30T15:44:42.018612Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_BATCH, 1)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2022-07-30_08_44_41-16327355937685962842]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2022-07-30_08_44_41-16327355937685962842
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2022-07-30_08_44_41-16327355937685962842?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-30_08_44_41-16327355937685962842 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-30T15:44:44.430Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-30T15:44:45.774Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-30T15:44:45.811Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-30T15:44:45.840Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-30T15:44:45.866Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-30T15:44:45.912Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-30T15:44:45.949Z: JOB_MESSAGE_DETAILED: Fusing consumer Get synthetic SDF options into Apply windows
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-30T15:44:45.981Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect start time metrics into Apply windows
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-30T15:44:46.010Z: JOB_MESSAGE_DETAILED: Fusing consumer Assign timestamps into Create/Read
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-30T15:44:46.048Z: JOB_MESSAGE_DETAILED: Fusing consumer Apply windows into Assign timestamps
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-30T15:44:46.072Z: JOB_MESSAGE_DETAILED: Fusing consumer Generate input into Get synthetic SDF options
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-30T15:44:46.094Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect end time metrics into ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-30T15:44:46.134Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-30T15:44:46.166Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-30T15:44:46.198Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-30T15:44:46.233Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-30T15:44:46.383Z: JOB_MESSAGE_DEBUG: Executing wait step start4
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-30T15:44:46.477Z: JOB_MESSAGE_BASIC: Executing operation Create/Read+Assign timestamps+Apply windows+Get synthetic SDF options+Collect start time metrics+Generate input
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-30T15:44:46.598Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-30T15:44:46.625Z: JOB_MESSAGE_BASIC: Starting 10 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-30_08_44_41-16327355937685962842 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-30T15:45:22.880Z: 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:2022-07-30T15:45:24.161Z: 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:2022-07-30T15:45:48.837Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-30T15:52:17.563Z: JOB_MESSAGE_BASIC: Finished operation Create/Read+Assign timestamps+Apply windows+Get synthetic SDF options+Collect start time metrics+Generate input
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-30T15:52:17.675Z: JOB_MESSAGE_DEBUG: Value "Collect start time metrics.out" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-30T15:52:17.701Z: JOB_MESSAGE_DEBUG: Value "Generate input.out" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-30T15:52:17.768Z: JOB_MESSAGE_BASIC: Executing operation ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-30T15:52:17.815Z: JOB_MESSAGE_BASIC: Finished operation ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-30T15:52:17.921Z: JOB_MESSAGE_DEBUG: Value "ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0).output" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-30T15:52:17.979Z: JOB_MESSAGE_BASIC: Executing operation ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)+Collect end time metrics
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-30T20:00:37.205Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2022-07-30_08_44_41-16327355937685962842.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-30T20:00:37.229Z: JOB_MESSAGE_BASIC: Finished operation ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)+Collect end time metrics
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-30T20:00:37.354Z: JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-30T20:00:37.478Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-30T20:00:37.494Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-30_08_44_41-16327355937685962842 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-30T20:01:18.214Z: JOB_MESSAGE_DETAILED: Autoscaling: Resized **** pool from 10 to 0.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-30T20:01:18.248Z: JOB_MESSAGE_BASIC: Worker pool stopped.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-30T20:01:18.269Z: JOB_MESSAGE_DEBUG: Tearing down pending resources...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-30_08_44_41-16327355937685962842 is in state JOB_STATE_CANCELLED
ERROR:apache_beam.runners.dataflow.dataflow_runner:Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2022-07-30_08_44_41-16327355937685962842?project=<ProjectId>
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_SideInput_Dataflow_Batch/ws/src/sdks/python/apache_beam/testing/load_tests/sideinput_test.py",> line 216, in <module>
SideInputTest().run()
File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_SideInput_Dataflow_Batch/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_SideInput_Dataflow_Batch/ws/src/sdks/python/apache_beam/runners/dataflow/dataflow_runner.py",> line 1676, in wait_until_finish
self)
apache_beam.runners.dataflow.dataflow_runner.DataflowRuntimeException: Dataflow pipeline failed. State: CANCELLED, Error:
None
> 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_SideInput_Dataflow_Batch/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58
* 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.
> Run with --scan to get full insights.
* 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/7.4/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 4h 17m 55s
15 actionable tasks: 3 executed, 12 up-to-date
Publishing build scan...
https://gradle.com/s/wvqeqyn2ntqba
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>.
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Changes:
[chamikaramj] Remove unnecessary reference to use_runner_v2 experiment in x-lang
[bulat.safiullin] [Website] remove beam-summit 2022 container with all related files
[yixiaoshen] Fix typo in Datastore V1ReadIT test
[noreply] Add read/write PubSub integration example fhirio pipeline (#22306)
[noreply] Remove deprecated Session runner (#22505)
[noreply] Add Go test status to the PR template (#22508)
[noreply] Relax the google-api-core dependency. (#22513)
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> Task :sdks:python:apache_beam:testing:load_tests:run
INFO:root:100 out of 10000 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:2.42.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/python37:beam-master-20220617
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/python37:beam-master-20220617" for Docker environment
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function pack_combiners at 0x7f3b921b7440> ====================
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function sort_stages at 0x7f3b921b7c20> ====================
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-9-0729100304.1659109709.259963/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-9-0729100304.1659109709.259963/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-9-0729100304.1659109709.259963/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-9-0729100304.1659109709.259963/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20220729154829260994-2500'
createTime: '2022-07-29T15:48:30.188197Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2022-07-29_08_48_29-17600054420002352019'
location: 'us-central1'
name: 'load-tests-python-dataflow-batch-sideinput-9-0729100304'
projectId: 'apache-beam-testing'
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INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2022-07-29_08_48_29-17600054420002352019]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2022-07-29_08_48_29-17600054420002352019
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2022-07-29_08_48_29-17600054420002352019?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-29_08_48_29-17600054420002352019 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-29T15:48:33.239Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-29T15:48:34.281Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-29T15:48:34.321Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-29T15:48:34.347Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-29T15:48:34.379Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-29T15:48:34.419Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-29T15:48:34.444Z: JOB_MESSAGE_DETAILED: Fusing consumer Get synthetic SDF options into Apply windows
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-29T15:48:34.480Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect start time metrics into Apply windows
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-29T15:48:34.510Z: JOB_MESSAGE_DETAILED: Fusing consumer Assign timestamps into Create/Read
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-29T15:48:34.544Z: JOB_MESSAGE_DETAILED: Fusing consumer Apply windows into Assign timestamps
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-29T15:48:34.578Z: JOB_MESSAGE_DETAILED: Fusing consumer Generate input into Get synthetic SDF options
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-29T15:48:34.613Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect end time metrics into ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-29T15:48:34.652Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-29T15:48:34.686Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-29T15:48:34.719Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-29T15:48:34.743Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-29T15:48:34.894Z: JOB_MESSAGE_DEBUG: Executing wait step start4
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-29T15:48:34.949Z: JOB_MESSAGE_BASIC: Executing operation Create/Read+Assign timestamps+Apply windows+Get synthetic SDF options+Collect start time metrics+Generate input
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-29T15:48:34.989Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-29T15:48:35.034Z: JOB_MESSAGE_BASIC: Starting 10 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-29_08_48_29-17600054420002352019 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-29T15:48:53.094Z: 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:2022-07-29T15:49:10.962Z: 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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INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-29T15:55:41.486Z: JOB_MESSAGE_BASIC: Finished operation Create/Read+Assign timestamps+Apply windows+Get synthetic SDF options+Collect start time metrics+Generate input
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-29T15:55:41.547Z: JOB_MESSAGE_DEBUG: Value "Collect start time metrics.out" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-29T15:55:41.575Z: JOB_MESSAGE_DEBUG: Value "Generate input.out" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-29T15:55:41.642Z: JOB_MESSAGE_BASIC: Executing operation ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0)
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INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-29T15:55:41.754Z: JOB_MESSAGE_DEBUG: Value "ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0).output" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-29T15:55:41.822Z: JOB_MESSAGE_BASIC: Executing operation ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)+Collect end time metrics
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-29T20:00:29.728Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2022-07-29_08_48_29-17600054420002352019.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-29T20:00:29.780Z: JOB_MESSAGE_BASIC: Finished operation ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)+Collect end time metrics
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-29T20:00:29.988Z: JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-29T20:00:30.258Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-29T20:00:30.283Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-29_08_48_29-17600054420002352019 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-29T20:01:08.261Z: JOB_MESSAGE_DETAILED: Autoscaling: Resized **** pool from 10 to 0.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-29T20:01:08.303Z: JOB_MESSAGE_BASIC: Worker pool stopped.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-29T20:01:08.330Z: JOB_MESSAGE_DEBUG: Tearing down pending resources...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-29_08_48_29-17600054420002352019 is in state JOB_STATE_CANCELLED
ERROR:apache_beam.runners.dataflow.dataflow_runner:Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2022-07-29_08_48_29-17600054420002352019?project=<ProjectId>
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_SideInput_Dataflow_Batch/ws/src/sdks/python/apache_beam/testing/load_tests/sideinput_test.py",> line 216, in <module>
SideInputTest().run()
File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_SideInput_Dataflow_Batch/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_SideInput_Dataflow_Batch/ws/src/sdks/python/apache_beam/runners/dataflow/dataflow_runner.py",> line 1676, in wait_until_finish
self)
apache_beam.runners.dataflow.dataflow_runner.DataflowRuntimeException: Dataflow pipeline failed. State: CANCELLED, Error:
None
> 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_SideInput_Dataflow_Batch/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58
* 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.
> Run with --scan to get full insights.
* 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/7.4/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 4h 13m 55s
15 actionable tasks: 3 executed, 12 up-to-date
Publishing build scan...
https://gradle.com/s/6tfd5tdfis5gq
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_SideInput_Dataflow_Batch #657
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_SideInput_Dataflow_Batch/657/display/redirect?page=changes>
Changes:
[samuelw] Fixes #22438. Ensure that WindmillStateReader completes all batched read
[noreply] 21730 fix offset resetting (#22450)
[noreply] Bump google.golang.org/api from 0.88.0 to 0.89.0 in /sdks (#22464)
[noreply] Upgrades pip before installing Beam for Python default expansion service
[noreply] [Go SDK]: Plumb allowed lateness to execution (#22476)
[Valentyn Tymofieiev] Restrict google-api-core
[Valentyn Tymofieiev] Regenerate the container dependencies.
[noreply] Replace distutils with supported modules. (#22456)
[noreply] [22369] Default Metrics for Executable Stages in Samza Runner (#22370)
[Kiley Sok] Moving to 2.42.0-SNAPSHOT on master branch.
[noreply] Remove stripping of step name. Replace removing only suffix step name
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Successfully built apache-beam
Installing collected packages: wcwidth, pytz, pyasn1, parameterized, docopt, crcmod, wrapt, websocket-client, urllib3, typing-utils, typing-extensions, threadpoolctl, tenacity, rsa, pyyaml, python-dateutil, pymysql, pymongo, pyhamcrest, pydot, pycparser, pyasn1-modules, psycopg2-binary, proto-plus, pbr, orjson, oauthlib, numpy, more-itertools, joblib, jmespath, isodate, idna, httplib2, greenlet, googleapis-common-protos, google-crc32c, fasteners, fastavro, execnet, dill, cloudpickle, charset-normalizer, certifi, cachetools, attrs, atomicwrites, sqlalchemy, scipy, requests, pyarrow, pluggy, pandas, overrides, 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
Attempting uninstall: pluggy
Found existing installation: pluggy 1.0.0
Uninstalling pluggy-1.0.0:
Successfully uninstalled pluggy-1.0.0
Successfully installed apache-beam-2.42.0.dev0 atomicwrites-1.4.1 attrs-22.1.0 azure-core-1.24.2 azure-storage-blob-12.13.0 boto3-1.24.39 botocore-1.27.39 cachetools-4.2.4 certifi-2022.6.15 cffi-1.15.1 charset-normalizer-2.1.0 cloudpickle-2.1.0 crcmod-1.7 cryptography-37.0.4 deprecation-2.1.0 dill-0.3.1.1 docker-5.0.3 docopt-0.6.2 execnet-1.9.0 fastavro-1.5.3 fasteners-0.17.3 freezegun-1.2.1 google-api-core-2.8.1 google-apitools-0.5.31 google-auth-2.9.1 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-3.8.0 google-cloud-language-1.3.2 google-cloud-pubsub-2.13.4 google-cloud-pubsublite-1.4.2 google-cloud-recommendations-ai-0.7.0 google-cloud-spanner-1.19.3 google-cloud-videointelligence-1.16.3 google-cloud-vision-1.0.2 google-crc32c-1.3.0 google-resumable-media-2.3.3 googleapis-common-protos-1.56.4 greenlet-1.1.2 grpc-google-iam-v1-0.12.4 grpcio-gcp-0.2.2 grpcio-status-1.47.0 hdfs-2.7.0 httplib2-0.20.4 idna-3.3 isodate-0.6.1 jmespath-1.0.1 joblib-1.1.0 mock-2.0.0 more-itertools-8.13.0 msrest-0.7.1 numpy-1.21.6 oauth2client-4.1.3 oauthlib-3.2.0 orjson-3.7.8 overrides-6.1.0 pandas-1.3.5 parameterized-0.8.1 pbr-5.9.0 pluggy-0.13.1 proto-plus-1.20.6 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-4.6.11 pytest-forked-1.4.0 pytest-timeout-1.4.2 pytest-xdist-1.34.0 python-dateutil-2.8.2 pytz-2022.1 pyyaml-6.0 requests-2.28.1 requests-oauthlib-1.3.1 requests_mock-1.9.3 rsa-4.9 s3transfer-0.6.0 scikit-learn-1.0.2 scipy-1.7.3 sqlalchemy-1.4.39 tenacity-5.1.5 testcontainers-3.6.0 threadpoolctl-3.1.0 typing-extensions-4.3.0 typing-utils-0.1.0 urllib3-1.26.11 wcwidth-0.2.5 websocket-client-1.3.3 wrapt-1.14.1
> Task :sdks:python:apache_beam:testing:load_tests:run
INFO:root:100 out of 10000 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:2.42.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/python37:beam-master-20220617
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/python37:beam-master-20220617" for Docker environment
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function pack_combiners at 0x7f02993a4320> ====================
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function sort_stages at 0x7f02993a4b00> ====================
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-9-0728100314.1659023995.458342/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-9-0728100314.1659023995.458342/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-9-0728100314.1659023995.458342/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-9-0728100314.1659023995.458342/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20220728155955459286-9035'
createTime: '2022-07-28T15:59:56.350061Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2022-07-28_08_59_55-15980096712247167122'
location: 'us-central1'
name: 'load-tests-python-dataflow-batch-sideinput-9-0728100314'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2022-07-28T15:59:56.350061Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_BATCH, 1)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2022-07-28_08_59_55-15980096712247167122]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2022-07-28_08_59_55-15980096712247167122
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2022-07-28_08_59_55-15980096712247167122?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-28_08_59_55-15980096712247167122 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-28T16:00:02.596Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-28T16:00:03.684Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-28T16:00:03.716Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-28T16:00:03.742Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-28T16:00:03.770Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-28T16:00:03.801Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-28T16:00:03.824Z: JOB_MESSAGE_DETAILED: Fusing consumer Get synthetic SDF options into Apply windows
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-28T16:00:03.858Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect start time metrics into Apply windows
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-28T16:00:03.881Z: JOB_MESSAGE_DETAILED: Fusing consumer Assign timestamps into Create/Read
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-28T16:00:03.915Z: JOB_MESSAGE_DETAILED: Fusing consumer Apply windows into Assign timestamps
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-28T16:00:03.936Z: JOB_MESSAGE_DETAILED: Fusing consumer Generate input into Get synthetic SDF options
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-28T16:00:03.961Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect end time metrics into ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-28T16:00:04.013Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-28T16:00:04.047Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-28T16:00:04.112Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-28T16:00:04.134Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-28T16:00:04.264Z: JOB_MESSAGE_DEBUG: Executing wait step start4
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-28T16:00:04.334Z: JOB_MESSAGE_BASIC: Executing operation Create/Read+Assign timestamps+Apply windows+Get synthetic SDF options+Collect start time metrics+Generate input
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-28T16:00:04.382Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-28T16:00:04.404Z: JOB_MESSAGE_BASIC: Starting 10 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-28_08_59_55-15980096712247167122 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-28T16:00:39.277Z: 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:2022-07-28T16:00:42.411Z: 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:2022-07-28T16:01:06.721Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-28T16:07:09.143Z: JOB_MESSAGE_BASIC: Finished operation Create/Read+Assign timestamps+Apply windows+Get synthetic SDF options+Collect start time metrics+Generate input
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-28T16:07:09.291Z: JOB_MESSAGE_DEBUG: Value "Collect start time metrics.out" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-28T16:07:09.358Z: JOB_MESSAGE_DEBUG: Value "Generate input.out" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-28T16:07:09.408Z: JOB_MESSAGE_BASIC: Executing operation ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-28T16:07:09.450Z: JOB_MESSAGE_BASIC: Finished operation ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-28T16:07:09.496Z: JOB_MESSAGE_DEBUG: Value "ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0).output" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-28T16:07:09.548Z: JOB_MESSAGE_BASIC: Executing operation ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)+Collect end time metrics
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-28T20:00:29.896Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2022-07-28_08_59_55-15980096712247167122.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-28T20:00:29.927Z: JOB_MESSAGE_BASIC: Finished operation ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)+Collect end time metrics
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-28T20:00:30.072Z: JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-28T20:00:30.214Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-28T20:00:30.236Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-28_08_59_55-15980096712247167122 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-28T20:01:10.103Z: JOB_MESSAGE_DETAILED: Autoscaling: Resized **** pool from 10 to 0.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-28T20:01:10.171Z: JOB_MESSAGE_BASIC: Worker pool stopped.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-28T20:01:10.191Z: JOB_MESSAGE_DEBUG: Tearing down pending resources...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-28_08_59_55-15980096712247167122 is in state JOB_STATE_CANCELLED
ERROR:apache_beam.runners.dataflow.dataflow_runner:Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2022-07-28_08_59_55-15980096712247167122?project=<ProjectId>
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_SideInput_Dataflow_Batch/ws/src/sdks/python/apache_beam/testing/load_tests/sideinput_test.py",> line 216, in <module>
SideInputTest().run()
File "<https://ci-beam.apache.org/job/beam_LoadTests_Python_SideInput_Dataflow_Batch/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_SideInput_Dataflow_Batch/ws/src/sdks/python/apache_beam/runners/dataflow/dataflow_runner.py",> line 1676, in wait_until_finish
self)
apache_beam.runners.dataflow.dataflow_runner.DataflowRuntimeException: Dataflow pipeline failed. State: CANCELLED, Error:
None
> 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_SideInput_Dataflow_Batch/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'> line: 58
* 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.
> Run with --scan to get full insights.
* 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/7.4/userguide/command_line_interface.html#sec:command_line_warnings
BUILD FAILED in 4h 2m 26s
15 actionable tasks: 3 executed, 12 up-to-date
Publishing build scan...
https://gradle.com/s/ci5xjinjv6v7c
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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