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Build failed in Jenkins: beam_LoadTests_Python_SideInput_Dataflow_Batch #627
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_SideInput_Dataflow_Batch/627/display/redirect>
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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 0x7fcdca709b00> ====================
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function sort_stages at 0x7fcdca70a320> ====================
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-9-0627100425.1656345335.640780/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-9-0627100425.1656345335.640780/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-9-0627100425.1656345335.640780/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-9-0627100425.1656345335.640780/pipeline.pb in 0 seconds.
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['shuffle_mode=appliance', '--side_input_type=iter', '--access_percentage=1', '--window_count=1000']
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['shuffle_mode=appliance', '--side_input_type=iter', '--access_percentage=1', '--window_count=1000']
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: [2022-06-27_08_55_36-15292642950148760245]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2022-06-27_08_55_36-15292642950148760245
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2022-06-27_08_55_36-15292642950148760245?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-06-27_08_55_36-15292642950148760245 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-06-27T15:55:40.647Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-06-27T15:55:46.474Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-06-27T15:55:46.553Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-06-27T15:55:46.579Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-06-27T15:55:46.610Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-06-27T15:55:46.650Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-06-27T15:55:46.674Z: JOB_MESSAGE_DETAILED: Fusing consumer Get synthetic SDF options into Apply windows
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-06-27T15:55:46.706Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect start time metrics into Apply windows
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-06-27T15:55:46.738Z: JOB_MESSAGE_DETAILED: Fusing consumer Assign timestamps into Create/Read
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-06-27T15:55:46.771Z: JOB_MESSAGE_DETAILED: Fusing consumer Apply windows into Assign timestamps
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-06-27T15:55:46.824Z: JOB_MESSAGE_DETAILED: Fusing consumer Generate input into Get synthetic SDF options
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-06-27T15:55:46.846Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect end time metrics into ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-06-27T15:55:46.879Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-06-27T15:55:46.908Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-06-27T15:55:46.933Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-06-27T15:55:46.967Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-06-27T15:55:47.139Z: JOB_MESSAGE_DEBUG: Executing wait step start4
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-06-27T15:55:47.194Z: 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:2022-06-27T15:55:47.241Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-06-27T15:55:47.274Z: JOB_MESSAGE_BASIC: Starting 10 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-06-27_08_55_36-15292642950148760245 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-06-27T15:56:01.128Z: 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:2022-06-27T15:56:41.114Z: 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:2022-06-27T15:57:07.627Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-06-27T16:03:29.300Z: 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:2022-06-27T16:03:29.433Z: JOB_MESSAGE_DEBUG: Value "Collect start time metrics.out" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-06-27T16:03:29.476Z: JOB_MESSAGE_DEBUG: Value "Generate input.out" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-06-27T16:03:29.599Z: JOB_MESSAGE_BASIC: Executing operation ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-06-27T16:03:29.691Z: JOB_MESSAGE_BASIC: Finished operation ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-06-27T16:03:29.758Z: JOB_MESSAGE_DEBUG: Value "ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0).output" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-06-27T16:03:29.835Z: JOB_MESSAGE_BASIC: Executing operation ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)+Collect end time metrics
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-06-27T20:00:40.981Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2022-06-27_08_55_36-15292642950148760245.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-06-27T20:00:41.007Z: JOB_MESSAGE_BASIC: Finished operation ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)+Collect end time metrics
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-06-27T20:00:41.726Z: JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-06-27T20:00:41.789Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-06-27T20:00:41.809Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-06-27_08_55_36-15292642950148760245 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-06-27T20:01:24.028Z: JOB_MESSAGE_DETAILED: Autoscaling: Resized **** pool from 10 to 0.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-06-27T20:01:24.079Z: JOB_MESSAGE_BASIC: Worker pool stopped.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-06-27T20:01:24.130Z: JOB_MESSAGE_DEBUG: Tearing down pending resources...
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 1665, in wait_until_finish
'{}'.format(consoleUrl))
AssertionError: Job did not reach to a terminal state after waiting indefinitely. Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2022-06-27_08_55_36-15292642950148760245?project=<ProjectId>
> Task :sdks:python:apache_beam:testing:load_tests:run FAILED
FAILURE: Build failed with an exception.
* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_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 7m 11s
15 actionable tasks: 3 executed, 12 up-to-date
Publishing build scan...
https://gradle.com/s/v3ckn4btlgkoc
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
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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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id: '2022-08-02_08_54_27-3139748959172958387'
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...
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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...
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INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20220728155955459286-9035'
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id: '2022-07-28_08_59_55-15980096712247167122'
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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).
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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)
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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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Build failed in Jenkins: beam_LoadTests_Python_SideInput_Dataflow_Batch #656
Posted by Apache Jenkins Server <je...@builds.apache.org>.
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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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-2.41.0.dev0 atomicwrites-1.4.1 attrs-21.4.0 azure-core-1.24.2 azure-storage-blob-12.13.0 boto3-1.24.38 botocore-1.27.38 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-2.8.2 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:2.41.0.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
clientRequestId: '20220727153402010390-5116'
createTime: '2022-07-27T15:34:02.879405Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2022-07-27_08_34_02-12714683022969324420'
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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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Build failed in Jenkins: beam_LoadTests_Python_SideInput_Dataflow_Batch #655
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_SideInput_Dataflow_Batch/655/display/redirect?page=changes>
Changes:
[Steve Niemitz] Fix overly aggressive null check in RowWriterFactory
[bulat.safiullin] add executeAsTemplate to head, head_homepage, add absURL to page-nav.js,
[noreply] Bump cloud.google.com/go/bigquery from 1.35.0 to 1.36.0 in /sdks
[noreply] Disallow EventTimes in iterators (#22435)
[noreply] Update the upper bound for google-cloud-recommendations-ai. (#22398)
[noreply] LoadTestsBuilder: Disallow whitespace in option values (#22437)
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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-2.41.0.dev0-py3-none-any.whl size=2829681 sha256=1403f95054cf3badb23b300a775ca620c5e7b8dadb82be5ba73782f7e1680642
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-2.41.0.dev0 atomicwrites-1.4.1 attrs-21.4.0 azure-core-1.24.2 azure-storage-blob-12.13.0 boto3-1.24.37 botocore-1.27.37 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-2.8.2 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:2.41.0.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 0x7f2c0cce3680> ====================
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function sort_stages at 0x7f2c0cce3e60> ====================
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-9-0726100333.1658850064.409648/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-9-0726100333.1658850064.409648/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-9-0726100333.1658850064.409648/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-9-0726100333.1658850064.409648/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20220726154104410629-3056'
createTime: '2022-07-26T15:41:05.580615Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2022-07-26_08_41_04-16775035439406610807'
location: 'us-central1'
name: 'load-tests-python-dataflow-batch-sideinput-9-0726100333'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2022-07-26T15:41:05.580615Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_BATCH, 1)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2022-07-26_08_41_04-16775035439406610807]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2022-07-26_08_41_04-16775035439406610807
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2022-07-26_08_41_04-16775035439406610807?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-26_08_41_04-16775035439406610807 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-26T15:46:08.897Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-a.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-26T15:46:09.861Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-26T15:46:09.898Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-26T15:46:09.926Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-26T15:46:09.951Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-26T15:46:09.991Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-26T15:46:10.020Z: JOB_MESSAGE_DETAILED: Fusing consumer Get synthetic SDF options into Apply windows
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-26T15:46:10.053Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect start time metrics into Apply windows
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-26T15:46:10.117Z: JOB_MESSAGE_DETAILED: Fusing consumer Assign timestamps into Create/Read
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-26T15:46:10.147Z: JOB_MESSAGE_DETAILED: Fusing consumer Apply windows into Assign timestamps
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-26T15:46:10.181Z: JOB_MESSAGE_DETAILED: Fusing consumer Generate input into Get synthetic SDF options
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-26T15:46:10.203Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect end time metrics into ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-26T15:46:10.241Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-26T15:46:10.263Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-26T15:46:10.293Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-26T15:46:10.327Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-26T15:46:10.490Z: JOB_MESSAGE_DEBUG: Executing wait step start4
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-26T15:46:10.545Z: 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:2022-07-26T15:46:10.585Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-26T15:46:10.673Z: JOB_MESSAGE_BASIC: Starting 10 ****s in us-central1-a...
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-26T15:46:29.103Z: JOB_MESSAGE_BASIC: Your project already contains 100 Dataflow-created metric descriptors, so new user metrics of the form custom.googleapis.com/* will not be created. However, all user metrics are also available in the metric dataflow.googleapis.com/job/user_counter. If you rely on the custom metrics, you can delete old / unused metric descriptors. See https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.list and https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.delete
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-26_08_41_04-16775035439406610807 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-26T15:46:47.009Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 3 based on the rate of progress in the currently running stage(s).
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-26T15:46:47.082Z: JOB_MESSAGE_DETAILED: Resized **** pool to 3, though goal was 10. This could be a quota issue.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-26T15:46:57.314Z: 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:2022-07-26T15:47:20.592Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-26T15:54:11.271Z: 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:2022-07-26T15:54:11.333Z: JOB_MESSAGE_DEBUG: Value "Collect start time metrics.out" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-26T15:54:11.365Z: JOB_MESSAGE_DEBUG: Value "Generate input.out" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-26T15:54:11.424Z: JOB_MESSAGE_BASIC: Executing operation ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-26T15:54:11.483Z: JOB_MESSAGE_BASIC: Finished operation ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-26T15:54:11.551Z: JOB_MESSAGE_DEBUG: Value "ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0).output" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-26T15:54:11.632Z: JOB_MESSAGE_BASIC: Executing operation ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)+Collect end time metrics
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-26T20:00:47.575Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2022-07-26_08_41_04-16775035439406610807.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-26T20:00:47.607Z: JOB_MESSAGE_BASIC: Finished operation ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)+Collect end time metrics
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-26T20:00:47.778Z: JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-26_08_41_04-16775035439406610807 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-26T20:00:47.938Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-26T20:00:47.959Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-26T20:01:31.508Z: JOB_MESSAGE_DETAILED: Autoscaling: Resized **** pool from 10 to 0.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-26T20:01:31.557Z: JOB_MESSAGE_BASIC: Worker pool stopped.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-26T20:01:31.579Z: JOB_MESSAGE_DEBUG: Tearing down pending resources...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-26_08_41_04-16775035439406610807 is in state JOB_STATE_CANCELLED
ERROR:apache_beam.runners.dataflow.dataflow_runner:Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2022-07-26_08_41_04-16775035439406610807?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 21m 44s
15 actionable tasks: 3 executed, 12 up-to-date
Publishing build scan...
https://gradle.com/s/44ja4sco33qom
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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Changes:
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[...truncated 333.78 KB...]
Collecting azure-core>=1.7.0
Using cached azure_core-1.24.2-py3-none-any.whl (178 kB)
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==2.41.0.dev0) (1.16.0)
Collecting msrest>=0.6.21
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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-2.41.0.dev0-py3-none-any.whl size=2829669 sha256=505c762f4ede11aa2455faa767ea7ee9e24c599c3e07174159ab29c5e9b81fd8
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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
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Successfully installed apache-beam-2.41.0.dev0 atomicwrites-1.4.1 attrs-21.4.0 azure-core-1.24.2 azure-storage-blob-12.13.0 boto3-1.24.36 botocore-1.27.36 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-1.32.0 google-apitools-0.5.31 google-auth-1.35.0 google-auth-httplib2-0.1.0 google-cloud-bigquery-2.34.4 google-cloud-bigquery-storage-2.13.2 google-cloud-bigtable-1.7.2 google-cloud-core-2.3.2 google-cloud-datastore-1.15.5 google-cloud-dlp-3.8.0 google-cloud-language-1.3.2 google-cloud-pubsub-2.13.4 google-cloud-pubsublite-1.4.2 google-cloud-recommendations-ai-0.2.0 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:2.41.0.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 0x7fb264ea0320> ====================
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function sort_stages at 0x7fb264ea0b00> ====================
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-9-0725100319.1658764814.369494/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-9-0725100319.1658764814.369494/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-9-0725100319.1658764814.369494/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-9-0725100319.1658764814.369494/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20220725160014370428-8728'
createTime: '2022-07-25T16:00:15.294791Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2022-07-25_09_00_14-1969075893707144978'
location: 'us-central1'
name: 'load-tests-python-dataflow-batch-sideinput-9-0725100319'
projectId: 'apache-beam-testing'
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startTime: '2022-07-25T16:00:15.294791Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_BATCH, 1)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2022-07-25_09_00_14-1969075893707144978]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2022-07-25_09_00_14-1969075893707144978
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2022-07-25_09_00_14-1969075893707144978?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-25_09_00_14-1969075893707144978 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-25T16:00:24.724Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-25T16:00:25.523Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-25T16:00:25.564Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-25T16:00:25.591Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-25T16:00:25.633Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-25T16:00:25.674Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-25T16:00:25.708Z: JOB_MESSAGE_DETAILED: Fusing consumer Get synthetic SDF options into Apply windows
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-25T16:00:25.741Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect start time metrics into Apply windows
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-25T16:00:25.778Z: JOB_MESSAGE_DETAILED: Fusing consumer Assign timestamps into Create/Read
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-25T16:00:25.813Z: JOB_MESSAGE_DETAILED: Fusing consumer Apply windows into Assign timestamps
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-25T16:00:25.849Z: JOB_MESSAGE_DETAILED: Fusing consumer Generate input into Get synthetic SDF options
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-25T16:00:25.880Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect end time metrics into ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-25T16:00:25.961Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-25T16:00:25.987Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-25T16:00:26.064Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-25T16:00:26.089Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-25T16:00:26.234Z: JOB_MESSAGE_DEBUG: Executing wait step start4
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-25T16:00:26.290Z: 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:2022-07-25T16:00:26.336Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-25T16:00:26.378Z: JOB_MESSAGE_BASIC: Starting 10 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-25_09_00_14-1969075893707144978 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-25T16:00:50.299Z: 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:2022-07-25T16:01:03.451Z: 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:2022-07-25T16:01:31.094Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-25T16:08:11.077Z: 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:2022-07-25T16:08:11.217Z: JOB_MESSAGE_DEBUG: Value "Collect start time metrics.out" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-25T16:08:11.250Z: JOB_MESSAGE_DEBUG: Value "Generate input.out" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-25T16:08:11.326Z: JOB_MESSAGE_BASIC: Executing operation ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-25T16:08:11.397Z: JOB_MESSAGE_BASIC: Finished operation ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-25T16:08:11.463Z: JOB_MESSAGE_DEBUG: Value "ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0).output" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-25T16:08:11.529Z: JOB_MESSAGE_BASIC: Executing operation ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)+Collect end time metrics
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-25T20:00:32.536Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2022-07-25_09_00_14-1969075893707144978.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-25T20:00:32.566Z: JOB_MESSAGE_BASIC: Finished operation ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)+Collect end time metrics
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-25T20:00:32.678Z: JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-25T20:00:32.814Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-25T20:00:32.836Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-25_09_00_14-1969075893707144978 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-25T20:01:07.531Z: JOB_MESSAGE_DETAILED: Autoscaling: Resized **** pool from 10 to 0.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-25T20:01:07.588Z: JOB_MESSAGE_BASIC: Worker pool stopped.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-25T20:01:07.612Z: JOB_MESSAGE_DEBUG: Tearing down pending resources...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-25_09_00_14-1969075893707144978 is in state JOB_STATE_CANCELLED
ERROR:apache_beam.runners.dataflow.dataflow_runner:Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2022-07-25_09_00_14-1969075893707144978?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 5s
15 actionable tasks: 3 executed, 12 up-to-date
Publishing build scan...
https://gradle.com/s/agla5jyt2uf7u
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 #653
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_SideInput_Dataflow_Batch/653/display/redirect>
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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 0x7fe55ab25200> ====================
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function sort_stages at 0x7fe55ab259e0> ====================
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-9-0724100306.1658677849.585913/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-9-0724100306.1658677849.585913/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-9-0724100306.1658677849.585913/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-9-0724100306.1658677849.585913/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
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name: 'load-tests-python-dataflow-batch-sideinput-9-0724100306'
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INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2022-07-24_08_50_50-1279171453672208697]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2022-07-24_08_50_50-1279171453672208697
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2022-07-24_08_50_50-1279171453672208697?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-24_08_50_50-1279171453672208697 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-24T15:50:52.598Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-a.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-24T15:50:53.552Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-24T15:50:53.618Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-24T15:50:53.646Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-24T15:50:53.687Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-24T15:50:53.722Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-24T15:50:53.741Z: JOB_MESSAGE_DETAILED: Fusing consumer Get synthetic SDF options into Apply windows
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-24T15:50:53.769Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect start time metrics into Apply windows
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-24T15:50:53.803Z: JOB_MESSAGE_DETAILED: Fusing consumer Assign timestamps into Create/Read
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-24T15:50:53.828Z: JOB_MESSAGE_DETAILED: Fusing consumer Apply windows into Assign timestamps
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-24T15:50:53.861Z: JOB_MESSAGE_DETAILED: Fusing consumer Generate input into Get synthetic SDF options
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-24T15:50:53.889Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect end time metrics into ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-24T15:50:53.922Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
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INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-24T15:50:53.994Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-24T15:50:54.031Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-24T15:50:54.229Z: JOB_MESSAGE_DEBUG: Executing wait step start4
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-24T15:50:54.292Z: 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:2022-07-24T15:50:54.341Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
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INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-24T15:51:28.015Z: 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:2022-07-24T15:58:46.982Z: JOB_MESSAGE_DEBUG: Value "Collect start time metrics.out" materialized.
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INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-24T15:58:47.057Z: JOB_MESSAGE_BASIC: Executing operation ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0)
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INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-24T15:58:47.204Z: JOB_MESSAGE_BASIC: Executing operation ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)+Collect end time metrics
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-24T20:00:40.293Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2022-07-24_08_50_50-1279171453672208697.
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INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-24T20:00:40.537Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
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INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-24_08_50_50-1279171453672208697 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-24T20:01:17.362Z: JOB_MESSAGE_DETAILED: Autoscaling: Resized **** pool from 10 to 0.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-24T20:01:17.399Z: JOB_MESSAGE_BASIC: Worker pool stopped.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-24T20:01:17.419Z: JOB_MESSAGE_DEBUG: Tearing down pending resources...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-24_08_50_50-1279171453672208697 is in state JOB_STATE_CANCELLED
ERROR:apache_beam.runners.dataflow.dataflow_runner:Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2022-07-24_08_50_50-1279171453672208697?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 11m 43s
15 actionable tasks: 3 executed, 12 up-to-date
Publishing build scan...
https://gradle.com/s/gxpj3khsnuzb6
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 #652
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_SideInput_Dataflow_Batch/652/display/redirect?page=changes>
Changes:
[bulat.safiullin] [Website] change getting window width method
[Moritz Mack] Closes #22407: Separate sources for SparkStructuredStreamingRunner for
[Moritz Mack] Add deprecation warning for Spark 2 in SparkStructuredStreamingRunner
[noreply] Bump cloud.google.com/go/storage from 1.23.0 to 1.24.0 in /sdks (#22377)
[Pablo Estrada] Removing experimental annotation from JdbcIO
[noreply] Drop timeseries:postCommit dependency (#22414)
[noreply] Deduplicate identical environments in a pipeline. (#22308)
[noreply] Skip failing torch post commit test (#22418)
[noreply] Log level fix on local runner (#22420)
[noreply] Update element_type inference (default_type_hints) for batched DoFns
[noreply] Remove spaces in experiments (#22423)
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Successfully installed apache-beam-2.41.0.dev0 atomicwrites-1.4.1 attrs-21.4.0 azure-core-1.24.2 azure-storage-blob-12.13.0 boto3-1.24.36 botocore-1.27.36 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-1.32.0 google-apitools-0.5.31 google-auth-1.35.0 google-auth-httplib2-0.1.0 google-cloud-bigquery-2.34.4 google-cloud-bigquery-storage-2.13.2 google-cloud-bigtable-1.7.2 google-cloud-core-2.3.2 google-cloud-datastore-1.15.5 google-cloud-dlp-3.8.0 google-cloud-language-1.3.2 google-cloud-pubsub-2.13.4 google-cloud-pubsublite-1.4.2 google-cloud-recommendations-ai-0.2.0 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 urllib3-1.26.10 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:2.41.0.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 0x7f5a6e803200> ====================
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function sort_stages at 0x7f5a6e8039e0> ====================
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-9-0723100318.1658590962.787699/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-9-0723100318.1658590962.787699/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-9-0723100318.1658590962.787699/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-9-0723100318.1658590962.787699/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20220723154242788639-4963'
createTime: '2022-07-23T15:42:43.796198Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2022-07-23_08_42_43-12441984885184384613'
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name: 'load-tests-python-dataflow-batch-sideinput-9-0723100318'
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steps: []
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INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2022-07-23_08_42_43-12441984885184384613]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2022-07-23_08_42_43-12441984885184384613
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2022-07-23_08_42_43-12441984885184384613?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-23_08_42_43-12441984885184384613 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-23T15:42:46.674Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-a.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-23T15:42:50.927Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-23T15:42:50.978Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-23T15:42:51.029Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-23T15:42:51.077Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-23T15:42:51.104Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-23T15:42:51.133Z: JOB_MESSAGE_DETAILED: Fusing consumer Get synthetic SDF options into Apply windows
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-23T15:42:51.167Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect start time metrics into Apply windows
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-23T15:42:51.201Z: JOB_MESSAGE_DETAILED: Fusing consumer Assign timestamps into Create/Read
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-23T15:42:51.226Z: JOB_MESSAGE_DETAILED: Fusing consumer Apply windows into Assign timestamps
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-23T15:42:51.258Z: JOB_MESSAGE_DETAILED: Fusing consumer Generate input into Get synthetic SDF options
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-23T15:42:51.292Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect end time metrics into ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-23T15:42:51.329Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-23T15:42:51.359Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-23T15:42:51.392Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-23T15:42:51.426Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-23T15:42:51.574Z: JOB_MESSAGE_DEBUG: Executing wait step start4
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-23T15:42:51.635Z: 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:2022-07-23T15:42:51.671Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-23T15:42:51.700Z: JOB_MESSAGE_BASIC: Starting 10 ****s in us-central1-a...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-23_08_42_43-12441984885184384613 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-23T15:43:21.814Z: 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:2022-07-23T15:43:30.128Z: 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:2022-07-23T15:43:54.662Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-23T15:50:30.107Z: 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:2022-07-23T15:50:30.177Z: JOB_MESSAGE_DEBUG: Value "Collect start time metrics.out" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-23T15:50:30.200Z: JOB_MESSAGE_DEBUG: Value "Generate input.out" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-23T15:50:30.272Z: JOB_MESSAGE_BASIC: Executing operation ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-23T15:50:30.327Z: JOB_MESSAGE_BASIC: Finished operation ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-23T15:50:30.398Z: JOB_MESSAGE_DEBUG: Value "ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0).output" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-23T15:50:30.448Z: JOB_MESSAGE_BASIC: Executing operation ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)+Collect end time metrics
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-23T20:00:40.371Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2022-07-23_08_42_43-12441984885184384613.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-23T20:00:40.398Z: JOB_MESSAGE_BASIC: Finished operation ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)+Collect end time metrics
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-23T20:00:40.520Z: JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-23T20:00:40.597Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-23T20:00:40.622Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-23_08_42_43-12441984885184384613 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-23T20:01:23.324Z: JOB_MESSAGE_DETAILED: Autoscaling: Resized **** pool from 10 to 0.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-23T20:01:23.369Z: JOB_MESSAGE_BASIC: Worker pool stopped.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-23T20:01:23.398Z: JOB_MESSAGE_DEBUG: Tearing down pending resources...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-23_08_42_43-12441984885184384613 is in state JOB_STATE_CANCELLED
ERROR:apache_beam.runners.dataflow.dataflow_runner:Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2022-07-23_08_42_43-12441984885184384613?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 19m 52s
15 actionable tasks: 3 executed, 12 up-to-date
Publishing build scan...
https://gradle.com/s/b7vn7lxoli3dw
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 #651
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_SideInput_Dataflow_Batch/651/display/redirect?page=changes>
Changes:
[balazs.nemeth] BEAM-14525 Fix for Protobuf getter/setter method name discovery issue
[balazs.nemeth] BEAM-14525 Added a proto message with the problematic properties to use
[balazs.nemeth] PR CR: updating issue links
[noreply] added olehborysevych as collaborator (#22391)
[noreply] Add accept-language header for MPL license (#22395)
[noreply] Bump terser from 5.9.0 to 5.14.2 in
[noreply] Fixes #22156: Fix Spark3 runner to compile against Spark 3.2/3.3 and add
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INFO: pip is looking at multiple versions of google-api-core[grpc,grpcgcp] to determine which version is compatible with other requirements. This could take a while.
Collecting google-api-core[grpc,grpcgcp]!=2.0.*,!=2.1.*,!=2.2.*,!=2.3.0,<3.0.0dev,>=1.31.5
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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-2.41.0.dev0-py3-none-any.whl size=2827581 sha256=c84bdec817a4d31862b45abf63011296f1b741979a58341c0ed519c1a7a28437
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-2.41.0.dev0 atomicwrites-1.4.1 attrs-21.4.0 azure-core-1.24.2 azure-storage-blob-12.13.0 boto3-1.24.35 botocore-1.27.35 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-1.32.0 google-apitools-0.5.31 google-auth-1.35.0 google-auth-httplib2-0.1.0 google-cloud-bigquery-2.34.4 google-cloud-bigquery-storage-2.13.2 google-cloud-bigtable-1.7.2 google-cloud-core-2.3.2 google-cloud-datastore-1.15.5 google-cloud-dlp-3.8.0 google-cloud-language-1.3.2 google-cloud-pubsub-2.13.4 google-cloud-pubsublite-1.4.2 google-cloud-recommendations-ai-0.2.0 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 urllib3-1.26.10 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:2.41.0.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 0x7f66e928c0e0> ====================
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function sort_stages at 0x7f66e928c8c0> ====================
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-9-0722100318.1658499853.407662/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-9-0722100318.1658499853.407662/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-9-0722100318.1658499853.407662/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-9-0722100318.1658499853.407662/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20220722142413408613-5117'
createTime: '2022-07-22T14:24:14.249708Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2022-07-22_07_24_13-16472907081369031004'
location: 'us-central1'
name: 'load-tests-python-dataflow-batch-sideinput-9-0722100318'
projectId: 'apache-beam-testing'
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INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2022-07-22_07_24_13-16472907081369031004]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2022-07-22_07_24_13-16472907081369031004
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2022-07-22_07_24_13-16472907081369031004?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-22_07_24_13-16472907081369031004 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-22T14:24:16.057Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-a.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-22T14:24:17.004Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-22T14:24:17.046Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-22T14:24:17.068Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-22T14:24:17.105Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-22T14:24:17.145Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-22T14:24:17.174Z: JOB_MESSAGE_DETAILED: Fusing consumer Get synthetic SDF options into Apply windows
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-22T14:24:17.198Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect start time metrics into Apply windows
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-22T14:24:17.230Z: JOB_MESSAGE_DETAILED: Fusing consumer Assign timestamps into Create/Read
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-22T14:24:17.253Z: JOB_MESSAGE_DETAILED: Fusing consumer Apply windows into Assign timestamps
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-22T14:24:17.286Z: JOB_MESSAGE_DETAILED: Fusing consumer Generate input into Get synthetic SDF options
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-22T14:24:17.318Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect end time metrics into ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-22T14:24:17.357Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-22T14:24:17.386Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-22T14:24:17.412Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-22T14:24:17.435Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-22T14:24:17.588Z: JOB_MESSAGE_DEBUG: Executing wait step start4
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-22T14:24:17.651Z: 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:2022-07-22T14:24:17.700Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-22T14:24:17.720Z: JOB_MESSAGE_BASIC: Starting 10 ****s in us-central1-a...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-22_07_24_13-16472907081369031004 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-22T14:24:43.169Z: 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:2022-07-22T14:24:51.346Z: 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:2022-07-22T14:25:18.162Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-22T14:32:05.979Z: 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:2022-07-22T14:32:06.043Z: JOB_MESSAGE_DEBUG: Value "Collect start time metrics.out" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-22T14:32:06.066Z: JOB_MESSAGE_DEBUG: Value "Generate input.out" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-22T14:32:06.112Z: JOB_MESSAGE_BASIC: Executing operation ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-22T14:32:06.158Z: JOB_MESSAGE_BASIC: Finished operation ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-22T14:32:06.217Z: JOB_MESSAGE_DEBUG: Value "ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0).output" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-22T14:32:06.277Z: JOB_MESSAGE_BASIC: Executing operation ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)+Collect end time metrics
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-22_07_24_13-16472907081369031004 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-22T20:00:40.687Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2022-07-22_07_24_13-16472907081369031004.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-22T20:00:40.710Z: JOB_MESSAGE_BASIC: Finished operation ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)+Collect end time metrics
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-22T20:00:40.794Z: JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-22T20:00:42.067Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-22T20:00:42.088Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-22T20:01:25.286Z: JOB_MESSAGE_DETAILED: Autoscaling: Resized **** pool from 10 to 0.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-22T20:01:25.314Z: JOB_MESSAGE_BASIC: Worker pool stopped.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-22T20:01:25.336Z: JOB_MESSAGE_DEBUG: Tearing down pending resources...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-22_07_24_13-16472907081369031004 is in state JOB_STATE_CANCELLED
ERROR:apache_beam.runners.dataflow.dataflow_runner:Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2022-07-22_07_24_13-16472907081369031004?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 5h 38m 30s
15 actionable tasks: 3 executed, 12 up-to-date
Publishing build scan...
https://gradle.com/s/yt2tx5iq5lhv2
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 #650
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_SideInput_Dataflow_Batch/650/display/redirect?page=changes>
Changes:
[Robert Bradshaw] Support combiner lifting.
[noreply] Bump google.golang.org/api from 0.87.0 to 0.88.0 in /sdks (#22350)
[Robert Bradshaw] More clarification.
[noreply] [CdapIO] HasOffset interface was implemented (#22193)
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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==2.41.0.dev0) (1.16.0)
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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-2.41.0.dev0-py3-none-any.whl size=2827581 sha256=8529fd74bf21c582bdbf304def32805fdf86f84676155f6812e651604368e9f4
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:
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Successfully installed apache-beam-2.41.0.dev0 atomicwrites-1.4.1 attrs-21.4.0 azure-core-1.24.2 azure-storage-blob-12.13.0 boto3-1.24.34 botocore-1.27.34 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-1.32.0 google-apitools-0.5.31 google-auth-1.35.0 google-auth-httplib2-0.1.0 google-cloud-bigquery-2.34.4 google-cloud-bigquery-storage-2.13.2 google-cloud-bigtable-1.7.2 google-cloud-core-2.3.2 google-cloud-datastore-1.15.5 google-cloud-dlp-3.8.0 google-cloud-language-1.3.2 google-cloud-pubsub-2.13.4 google-cloud-pubsublite-1.4.2 google-cloud-recommendations-ai-0.2.0 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 urllib3-1.26.10 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:2.41.0.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 0x7f75f1c040e0> ====================
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function sort_stages at 0x7f75f1c048c0> ====================
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-9-0721100316.1658418857.507016/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-9-0721100316.1658418857.507016/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-9-0721100316.1658418857.507016/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-9-0721100316.1658418857.507016/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20220721155417507965-9649'
createTime: '2022-07-21T15:54:18.394841Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2022-07-21_08_54_18-5547915821020256824'
location: 'us-central1'
name: 'load-tests-python-dataflow-batch-sideinput-9-0721100316'
projectId: 'apache-beam-testing'
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startTime: '2022-07-21T15:54:18.394841Z'
steps: []
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INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2022-07-21_08_54_18-5547915821020256824]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2022-07-21_08_54_18-5547915821020256824
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2022-07-21_08_54_18-5547915821020256824?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-21_08_54_18-5547915821020256824 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-21T15:54:20.826Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-21T15:54:21.986Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-21T15:54:22.081Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-21T15:54:22.231Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-21T15:54:22.313Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-21T15:54:22.360Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-21T15:54:22.396Z: JOB_MESSAGE_DETAILED: Fusing consumer Get synthetic SDF options into Apply windows
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-21T15:54:22.435Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect start time metrics into Apply windows
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-21T15:54:22.467Z: JOB_MESSAGE_DETAILED: Fusing consumer Assign timestamps into Create/Read
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-21T15:54:22.532Z: JOB_MESSAGE_DETAILED: Fusing consumer Apply windows into Assign timestamps
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-21T15:54:22.567Z: JOB_MESSAGE_DETAILED: Fusing consumer Generate input into Get synthetic SDF options
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-21T15:54:22.601Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect end time metrics into ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-21T15:54:22.642Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-21T15:54:22.671Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-21T15:54:22.718Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-21T15:54:22.753Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-21T15:54:22.922Z: JOB_MESSAGE_DEBUG: Executing wait step start4
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-21T15:54:22.988Z: 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:2022-07-21T15:54:23.093Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-21T15:54:23.155Z: JOB_MESSAGE_BASIC: Starting 10 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-21_08_54_18-5547915821020256824 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-21T15:54:59Z: 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:2022-07-21T15:54:59.921Z: 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:2022-07-21T15:55:28.919Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-21T16:02:07.763Z: 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:2022-07-21T16:02:07.957Z: JOB_MESSAGE_DEBUG: Value "Collect start time metrics.out" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-21T16:02:08.012Z: JOB_MESSAGE_DEBUG: Value "Generate input.out" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-21T16:02:08.130Z: JOB_MESSAGE_BASIC: Executing operation ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-21T16:02:08.187Z: JOB_MESSAGE_BASIC: Finished operation ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-21T16:02:08.241Z: JOB_MESSAGE_DEBUG: Value "ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0).output" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-21T16:02:08.306Z: JOB_MESSAGE_BASIC: Executing operation ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)+Collect end time metrics
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-21T20:00:42.266Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2022-07-21_08_54_18-5547915821020256824.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-21T20:00:42.291Z: JOB_MESSAGE_BASIC: Finished operation ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)+Collect end time metrics
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-21T20:00:42.451Z: JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-21T20:00:42.721Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
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INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-21_08_54_18-5547915821020256824 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-21T20:01:36.811Z: JOB_MESSAGE_DETAILED: Autoscaling: Resized **** pool from 10 to 0.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-21T20:01:37.012Z: JOB_MESSAGE_BASIC: Worker pool stopped.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-21T20:01:37.056Z: JOB_MESSAGE_DEBUG: Tearing down pending resources...
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 1665, in wait_until_finish
'{}'.format(consoleUrl))
AssertionError: Job did not reach to a terminal state after waiting indefinitely. Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2022-07-21_08_54_18-5547915821020256824?project=<ProjectId>
> Task :sdks:python:apache_beam:testing:load_tests:run FAILED
FAILURE: Build failed with an exception.
* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_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 30s
15 actionable tasks: 3 executed, 12 up-to-date
Publishing build scan...
https://gradle.com/s/cz3544fcvlfaw
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 #649
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_SideInput_Dataflow_Batch/649/display/redirect?page=changes>
Changes:
[Robert Bradshaw] Require unique names for stages.
[noreply] Add links to the new RunInference content to Learning Resources (#22325)
[noreply] Unskip RunInference IT tests (#22324)
[noreply] cleaned up types in standard_coders.ts (#22316)
[noreply] JMH module for sdks:java:core with benchmarks for
[noreply] Bump cloud.google.com/go/pubsub from 1.23.1 to 1.24.0 in /sdks (#22332)
[Luke Cwik] [#22181] Fix java package for SDK java core benchmark
[Luke Cwik] Allow jmhTest to run concurrently with other jmhTest instances
[noreply] [BEAM-13015, #21250] Optimize encoding to a ByteString (#22345)
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Building wheels for collected packages: apache-beam
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> Task :sdks:python:apache_beam:testing:load_tests:run
INFO: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 0x7fe1ad7df0e0> ====================
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function sort_stages at 0x7fe1ad7df8c0> ====================
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-9-0720100318.1658332105.508366/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-9-0720100318.1658332105.508366/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-9-0720100318.1658332105.508366/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-9-0720100318.1658332105.508366/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20220720154825509309-4393'
createTime: '2022-07-20T15:48:28.858841Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2022-07-20_08_48_25-3049081749947505853'
location: 'us-central1'
name: 'load-tests-python-dataflow-batch-sideinput-9-0720100318'
projectId: 'apache-beam-testing'
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INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2022-07-20_08_48_25-3049081749947505853]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2022-07-20_08_48_25-3049081749947505853
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2022-07-20_08_48_25-3049081749947505853?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-20_08_48_25-3049081749947505853 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-20T15:48:35.506Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-20T15:48:46.509Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-20T15:48:46.725Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-20T15:48:46.756Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-20T15:48:46.847Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-20T15:48:46.876Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-20T15:48:46.902Z: JOB_MESSAGE_DETAILED: Fusing consumer Get synthetic SDF options into Apply windows
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-20T15:48:46.934Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect start time metrics into Apply windows
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-20T15:48:46.956Z: JOB_MESSAGE_DETAILED: Fusing consumer Assign timestamps into Create/Read
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-20T15:48:46.980Z: JOB_MESSAGE_DETAILED: Fusing consumer Apply windows into Assign timestamps
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-20T15:48:47.006Z: JOB_MESSAGE_DETAILED: Fusing consumer Generate input into Get synthetic SDF options
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-20T15:48:47.073Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect end time metrics into ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-20T15:48:47.115Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
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INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-20T15:48:47.352Z: JOB_MESSAGE_DEBUG: Executing wait step start4
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-20T15:48:47.409Z: 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:2022-07-20T15:48:47.450Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
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INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-20T15:55:33.835Z: 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:2022-07-20T15:55:33.941Z: JOB_MESSAGE_DEBUG: Value "Collect start time metrics.out" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-20T15:55:33.969Z: JOB_MESSAGE_DEBUG: Value "Generate input.out" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-20T15:55:34.033Z: JOB_MESSAGE_BASIC: Executing operation ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0)
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INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-20T15:55:34.214Z: JOB_MESSAGE_BASIC: Executing operation ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)+Collect end time metrics
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-20T20:00:35.137Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2022-07-20_08_48_25-3049081749947505853.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-20T20:00:35.171Z: JOB_MESSAGE_BASIC: Finished operation ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)+Collect end time metrics
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-20T20:00:35.400Z: JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-20T20:00:35.561Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-20T20:00:35.585Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-20_08_48_25-3049081749947505853 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-20T20:01:21.420Z: JOB_MESSAGE_DETAILED: Autoscaling: Resized **** pool from 10 to 0.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-20T20:01:21.535Z: JOB_MESSAGE_BASIC: Worker pool stopped.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-20T20:01:21.604Z: JOB_MESSAGE_DEBUG: Tearing down pending resources...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-20_08_48_25-3049081749947505853 is in state JOB_STATE_CANCELLED
ERROR:apache_beam.runners.dataflow.dataflow_runner:Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2022-07-20_08_48_25-3049081749947505853?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 14m 17s
15 actionable tasks: 3 executed, 12 up-to-date
Publishing build scan...
https://gradle.com/s/egielnmkrvbvg
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 #648
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_SideInput_Dataflow_Batch/648/display/redirect?page=changes>
Changes:
[noreply] [BEAM-14117] Unvendor bytebuddy dependency (#17317)
[noreply] Use npm ci instead of install in CI (#22323)
[noreply] Fix typo in use_single_core_per_container logic. (#22318)
[noreply] [#22319] Regenerate proto2_coder_test_messages_pb2.py manually (#22320)
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Successfully installed apache-beam-2.41.0.dev0 atomicwrites-1.4.1 attrs-21.4.0 azure-core-1.24.2 azure-storage-blob-12.13.0 boto3-1.24.32 botocore-1.27.32 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-1.32.0 google-apitools-0.5.31 google-auth-1.35.0 google-auth-httplib2-0.1.0 google-cloud-bigquery-2.34.4 google-cloud-bigquery-storage-2.13.2 google-cloud-bigtable-1.7.2 google-cloud-core-2.3.2 google-cloud-datastore-1.15.5 google-cloud-dlp-3.8.0 google-cloud-language-1.3.2 google-cloud-pubsub-2.13.4 google-cloud-pubsublite-1.4.2 google-cloud-recommendations-ai-0.2.0 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-4.8 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 urllib3-1.26.10 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:2.41.0.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 0x7ff5f71bb050> ====================
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function sort_stages at 0x7ff5f71bb830> ====================
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-9-0719100309.1658245992.402078/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-9-0719100309.1658245992.402078/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-9-0719100309.1658245992.402078/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-9-0719100309.1658245992.402078/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20220719155312403073-6182'
createTime: '2022-07-19T15:53:14.899528Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2022-07-19_08_53_12-15088526284063863992'
location: 'us-central1'
name: 'load-tests-python-dataflow-batch-sideinput-9-0719100309'
projectId: 'apache-beam-testing'
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startTime: '2022-07-19T15:53:14.899528Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_BATCH, 1)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2022-07-19_08_53_12-15088526284063863992]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2022-07-19_08_53_12-15088526284063863992
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2022-07-19_08_53_12-15088526284063863992?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-19_08_53_12-15088526284063863992 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-19T15:53:17.586Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-19T15:53:23.466Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-19T15:53:23.505Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-19T15:53:23.532Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-19T15:53:23.564Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-19T15:53:23.603Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-19T15:53:23.634Z: JOB_MESSAGE_DETAILED: Fusing consumer Get synthetic SDF options into Apply windows
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-19T15:53:23.670Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect start time metrics into Apply windows
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-19T15:53:23.703Z: JOB_MESSAGE_DETAILED: Fusing consumer Assign timestamps into Create/Read
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-19T15:53:23.737Z: JOB_MESSAGE_DETAILED: Fusing consumer Apply windows into Assign timestamps
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-19T15:53:23.760Z: JOB_MESSAGE_DETAILED: Fusing consumer Generate input into Get synthetic SDF options
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-19T15:53:23.793Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect end time metrics into ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-19T15:53:23.830Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-19T15:53:23.860Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-19T15:53:23.891Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-19T15:53:23.924Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-19T15:53:24.050Z: JOB_MESSAGE_DEBUG: Executing wait step start4
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-19T15:53:24.104Z: 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:2022-07-19T15:53:24.151Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-19T15:53:24.171Z: JOB_MESSAGE_BASIC: Starting 10 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-19_08_53_12-15088526284063863992 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-19T15:53:39.557Z: 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:2022-07-19T15:53:57.585Z: 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:2022-07-19T15:54:23.029Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-19T15:59:57.419Z: 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:2022-07-19T15:59:57.529Z: JOB_MESSAGE_DEBUG: Value "Collect start time metrics.out" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-19T15:59:57.553Z: JOB_MESSAGE_DEBUG: Value "Generate input.out" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-19T15:59:57.612Z: JOB_MESSAGE_BASIC: Executing operation ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-19T15:59:57.665Z: JOB_MESSAGE_BASIC: Finished operation ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-19T15:59:57.740Z: JOB_MESSAGE_DEBUG: Value "ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0).output" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-19T15:59:57.802Z: JOB_MESSAGE_BASIC: Executing operation ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)+Collect end time metrics
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-19T20:00:34.897Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2022-07-19_08_53_12-15088526284063863992.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-19T20:00:34.924Z: JOB_MESSAGE_BASIC: Finished operation ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)+Collect end time metrics
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-19T20:00:35.164Z: JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-19T20:00:35.430Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-19T20:00:35.453Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-19_08_53_12-15088526284063863992 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-19T20:01:08.620Z: JOB_MESSAGE_DETAILED: Autoscaling: Resized **** pool from 10 to 0.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-19T20:01:08.655Z: JOB_MESSAGE_BASIC: Worker pool stopped.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-19T20:01:08.681Z: JOB_MESSAGE_DEBUG: Tearing down pending resources...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-19_08_53_12-15088526284063863992 is in state JOB_STATE_CANCELLED
ERROR:apache_beam.runners.dataflow.dataflow_runner:Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2022-07-19_08_53_12-15088526284063863992?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 9m 15s
15 actionable tasks: 3 executed, 12 up-to-date
Publishing build scan...
https://gradle.com/s/cfnxt7jazhmxk
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 #647
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_SideInput_Dataflow_Batch/647/display/redirect?page=changes>
Changes:
[Alexey Romanenko] [website] Add TPC-DS benchmark documentation
[noreply] Increase streaming server timeout (#22280)
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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-2.41.0.dev0-py3-none-any.whl size=2827423 sha256=0b40223cf1b63a7d8c2fa918428cad959aa3e62cadea8a494d96bbd2cc636473
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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-2.41.0.dev0 atomicwrites-1.4.1 attrs-21.4.0 azure-core-1.24.2 azure-storage-blob-12.13.0 boto3-1.24.31 botocore-1.27.31 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-1.5.2 fasteners-0.17.3 freezegun-1.2.1 google-api-core-1.32.0 google-apitools-0.5.31 google-auth-1.35.0 google-auth-httplib2-0.1.0 google-cloud-bigquery-2.34.4 google-cloud-bigquery-storage-2.13.2 google-cloud-bigtable-1.7.2 google-cloud-core-2.3.2 google-cloud-datastore-1.15.5 google-cloud-dlp-3.8.0 google-cloud-language-1.3.2 google-cloud-pubsub-2.13.4 google-cloud-pubsublite-1.4.2 google-cloud-recommendations-ai-0.2.0 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-3.7.7 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-4.8 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 urllib3-1.26.10 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:2.41.0.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 0x7f29c7d6fc20> ====================
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function sort_stages at 0x7f29c7d70440> ====================
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-9-0718100310.1658159625.275423/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-9-0718100310.1658159625.275423/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-9-0718100310.1658159625.275423/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-9-0718100310.1658159625.275423/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20220718155345276369-9310'
createTime: '2022-07-18T15:53:46.114350Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2022-07-18_08_53_45-1897048516083540146'
location: 'us-central1'
name: 'load-tests-python-dataflow-batch-sideinput-9-0718100310'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2022-07-18T15:53:46.114350Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_BATCH, 1)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2022-07-18_08_53_45-1897048516083540146]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2022-07-18_08_53_45-1897048516083540146
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2022-07-18_08_53_45-1897048516083540146?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-18_08_53_45-1897048516083540146 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-18T15:53:47.897Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-a.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-18T15:53:48.760Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-18T15:53:48.789Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-18T15:53:48.812Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-18T15:53:48.838Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-18T15:53:48.872Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-18T15:53:48.919Z: JOB_MESSAGE_DETAILED: Fusing consumer Get synthetic SDF options into Apply windows
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-18T15:53:48.955Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect start time metrics into Apply windows
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-18T15:53:48.989Z: JOB_MESSAGE_DETAILED: Fusing consumer Assign timestamps into Create/Read
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-18T15:53:49.022Z: JOB_MESSAGE_DETAILED: Fusing consumer Apply windows into Assign timestamps
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-18T15:53:49.049Z: JOB_MESSAGE_DETAILED: Fusing consumer Generate input into Get synthetic SDF options
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-18T15:53:49.078Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect end time metrics into ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-18T15:53:49.115Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-18T15:53:49.143Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-18T15:53:49.234Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-18T15:53:49.262Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-18T15:53:49.399Z: JOB_MESSAGE_DEBUG: Executing wait step start4
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-18T15:53:49.472Z: 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:2022-07-18T15:53:49.517Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-18T15:53:49.537Z: JOB_MESSAGE_BASIC: Starting 10 ****s in us-central1-a...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-18_08_53_45-1897048516083540146 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-18T15:54:17.097Z: 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:2022-07-18T15:54:23.538Z: 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:2022-07-18T15:54:47.337Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-18T16:01:15.541Z: 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:2022-07-18T16:01:15.601Z: JOB_MESSAGE_DEBUG: Value "Collect start time metrics.out" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-18T16:01:15.634Z: JOB_MESSAGE_DEBUG: Value "Generate input.out" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-18T16:01:15.692Z: JOB_MESSAGE_BASIC: Executing operation ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-18T16:01:15.753Z: JOB_MESSAGE_BASIC: Finished operation ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-18T16:01:15.866Z: JOB_MESSAGE_DEBUG: Value "ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0).output" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-18T16:01:15.930Z: JOB_MESSAGE_BASIC: Executing operation ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)+Collect end time metrics
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-18T20:00:36.829Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2022-07-18_08_53_45-1897048516083540146.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-18T20:00:36.859Z: JOB_MESSAGE_BASIC: Finished operation ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)+Collect end time metrics
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-18T20:00:37.002Z: JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-18T20:00:37.131Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-18T20:00:37.149Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-18_08_53_45-1897048516083540146 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-18T20:01:11.190Z: JOB_MESSAGE_DETAILED: Autoscaling: Resized **** pool from 10 to 0.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-18T20:01:11.229Z: JOB_MESSAGE_BASIC: Worker pool stopped.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-18T20:01:11.247Z: JOB_MESSAGE_DEBUG: Tearing down pending resources...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-18_08_53_45-1897048516083540146 is in state JOB_STATE_CANCELLED
ERROR:apache_beam.runners.dataflow.dataflow_runner:Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2022-07-18_08_53_45-1897048516083540146?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 39s
15 actionable tasks: 3 executed, 12 up-to-date
Publishing build scan...
https://gradle.com/s/ccchgxnln7dl4
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 #646
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_SideInput_Dataflow_Batch/646/display/redirect?page=changes>
Changes:
[vlad.matyunin] enabled multifile flag for multifile examples (PG)
[noreply] Merge pull request #22300 from Fixed [Playground] DeployExamples,
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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-2.41.0.dev0-py3-none-any.whl size=2827423 sha256=d450383d473726987eec6bb8e2cc4bb81bb94131edb35aa75fe5ef7f04c50ba7
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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:
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Successfully installed apache-beam-2.41.0.dev0 atomicwrites-1.4.1 attrs-21.4.0 azure-core-1.24.2 azure-storage-blob-12.13.0 boto3-1.24.31 botocore-1.27.31 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-1.5.2 fasteners-0.17.3 freezegun-1.2.1 google-api-core-1.32.0 google-apitools-0.5.31 google-auth-1.35.0 google-auth-httplib2-0.1.0 google-cloud-bigquery-2.34.4 google-cloud-bigquery-storage-2.13.2 google-cloud-bigtable-1.7.2 google-cloud-core-2.3.1 google-cloud-datastore-1.15.5 google-cloud-dlp-3.7.1 google-cloud-language-1.3.2 google-cloud-pubsub-2.13.4 google-cloud-pubsublite-1.4.2 google-cloud-recommendations-ai-0.2.0 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-3.7.7 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-4.8 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 urllib3-1.26.10 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:2.41.0.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 0x7f730af36c20> ====================
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function sort_stages at 0x7f730af37440> ====================
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-9-0717100311.1658073320.781363/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-9-0717100311.1658073320.781363/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-9-0717100311.1658073320.781363/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-9-0717100311.1658073320.781363/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20220717155520782306-1930'
createTime: '2022-07-17T15:55:21.642935Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2022-07-17_08_55_21-16417834621820879974'
location: 'us-central1'
name: 'load-tests-python-dataflow-batch-sideinput-9-0717100311'
projectId: 'apache-beam-testing'
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startTime: '2022-07-17T15:55:21.642935Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_BATCH, 1)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2022-07-17_08_55_21-16417834621820879974]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2022-07-17_08_55_21-16417834621820879974
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2022-07-17_08_55_21-16417834621820879974?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-17_08_55_21-16417834621820879974 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-17T15:55:23.682Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-17T15:55:29.407Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-17T15:55:29.489Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-17T15:55:29.543Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-17T15:55:29.580Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-17T15:55:29.624Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-17T15:55:29.652Z: JOB_MESSAGE_DETAILED: Fusing consumer Get synthetic SDF options into Apply windows
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-17T15:55:29.677Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect start time metrics into Apply windows
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-17T15:55:29.710Z: JOB_MESSAGE_DETAILED: Fusing consumer Assign timestamps into Create/Read
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-17T15:55:29.731Z: JOB_MESSAGE_DETAILED: Fusing consumer Apply windows into Assign timestamps
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-17T15:55:29.754Z: JOB_MESSAGE_DETAILED: Fusing consumer Generate input into Get synthetic SDF options
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-17T15:55:29.782Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect end time metrics into ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-17T15:55:29.811Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-17T15:55:29.843Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-17T15:55:29.876Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-17T15:55:29.910Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-17T15:55:30.021Z: JOB_MESSAGE_DEBUG: Executing wait step start4
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-17T15:55:30.077Z: 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:2022-07-17T15:55:30.114Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-17T15:55:30.147Z: JOB_MESSAGE_BASIC: Starting 10 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-17_08_55_21-16417834621820879974 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-17T15:55:42.688Z: 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:2022-07-17T15:56:04.217Z: 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:2022-07-17T15:56:28.891Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-17T16:02:34.037Z: 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:2022-07-17T16:02:34.109Z: JOB_MESSAGE_DEBUG: Value "Collect start time metrics.out" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-17T16:02:34.137Z: JOB_MESSAGE_DEBUG: Value "Generate input.out" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-17T16:02:34.187Z: JOB_MESSAGE_BASIC: Executing operation ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-17T16:02:34.245Z: JOB_MESSAGE_BASIC: Finished operation ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-17T16:02:34.327Z: JOB_MESSAGE_DEBUG: Value "ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0).output" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-17T16:02:34.410Z: JOB_MESSAGE_BASIC: Executing operation ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)+Collect end time metrics
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-17T20:00:38.586Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2022-07-17_08_55_21-16417834621820879974.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-17T20:00:38.610Z: JOB_MESSAGE_BASIC: Finished operation ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)+Collect end time metrics
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-17T20:00:38.752Z: JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-17T20:00:39.329Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-17T20:00:39.345Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-17_08_55_21-16417834621820879974 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-17T20:01:16.617Z: JOB_MESSAGE_DETAILED: Autoscaling: Resized **** pool from 10 to 0.
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INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-17T20:01:16.671Z: JOB_MESSAGE_DEBUG: Tearing down pending resources...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-17_08_55_21-16417834621820879974 is in state JOB_STATE_CANCELLED
ERROR:apache_beam.runners.dataflow.dataflow_runner:Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2022-07-17_08_55_21-16417834621820879974?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 7m 8s
15 actionable tasks: 3 executed, 12 up-to-date
Publishing build scan...
https://gradle.com/s/khevumhp42sdq
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 #645
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_SideInput_Dataflow_Batch/645/display/redirect?page=changes>
Changes:
[vitaly.terentyev] [BEAM-14101] Add Spark Receiver IO package and ReceiverBuilder
[noreply] Bump protobufjs from 6.11.2 to 6.11.3 in /sdks/typescript
[egalpin] Moves timestamp skew override to correct place
[egalpin] Adds TestStream to verify window preservation of ElasticsearchIO#write
[egalpin] Removes unnecessary line
[egalpin] Adds validation that ES#Write outputs are in expected windows
[egalpin] Updates window verification test to assert the exact docs in the window
[egalpin] Uses guava Iterables over shaded avro version
[Robert Bradshaw] Don't try to parse non-flags as retained pipeline options.
[chamikaramj] Enables UnboundedSource wrapped SDF Kafka source by default for x-lang
[noreply] Merge pull request #22140 from [Playground Task] Sharing any code API
[bulat.safiullin] [Website] add playground section, update playground, update get-started
[noreply] RunInference documentation updates. (#22236)
[noreply] Turn pr bot on for remaining common labels (#22257)
[noreply] Reviewing the RunInference ReadMe file for clarity. (#22069)
[noreply] Collect heap profile on OOM on Dataflow (#22225)
[noreply] fixing the missing wrap around ring range read (#21786)
[noreply] Update RunInference documentation (#22250)
[noreply] Rewrote Java multi-language pipeline quickstart (#22263)
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Building wheels for collected packages: apache-beam
Building wheel for apache-beam (setup.py): started
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Stored in directory: /home/jenkins/.cache/pip/wheels/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
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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 0x7efd662d5cb0> ====================
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function sort_stages at 0x7efd662d64d0> ====================
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-9-0716100311.1657986576.748208/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-9-0716100311.1657986576.748208/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-9-0716100311.1657986576.748208/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-9-0716100311.1657986576.748208/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20220716154936749157-1176'
createTime: '2022-07-16T15:49:37.646493Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2022-07-16_08_49_37-5928248296621796167'
location: 'us-central1'
name: 'load-tests-python-dataflow-batch-sideinput-9-0716100311'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2022-07-16T15:49:37.646493Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_BATCH, 1)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2022-07-16_08_49_37-5928248296621796167]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2022-07-16_08_49_37-5928248296621796167
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2022-07-16_08_49_37-5928248296621796167?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-16_08_49_37-5928248296621796167 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-16T15:49:40.155Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-16T15:49:41.342Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-16T15:49:41.418Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-16T15:49:41.496Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-16T15:49:41.533Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-16T15:49:41.565Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-16T15:49:41.587Z: JOB_MESSAGE_DETAILED: Fusing consumer Get synthetic SDF options into Apply windows
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-16T15:49:41.609Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect start time metrics into Apply windows
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-16T15:49:41.635Z: JOB_MESSAGE_DETAILED: Fusing consumer Assign timestamps into Create/Read
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-16T15:49:41.670Z: JOB_MESSAGE_DETAILED: Fusing consumer Apply windows into Assign timestamps
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-16T15:49:41.695Z: JOB_MESSAGE_DETAILED: Fusing consumer Generate input into Get synthetic SDF options
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-16T15:49:41.733Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect end time metrics into ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-16T15:49:41.766Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
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INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-16T15:49:41.988Z: JOB_MESSAGE_DEBUG: Executing wait step start4
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-16T15:49:42.057Z: 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:2022-07-16T15:49:42.105Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
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INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-16_08_49_37-5928248296621796167 is in state JOB_STATE_RUNNING
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INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-16T15:50:16.289Z: 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:2022-07-16T15:56:43.309Z: JOB_MESSAGE_DEBUG: Value "Collect start time metrics.out" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-16T15:56:43.346Z: JOB_MESSAGE_DEBUG: Value "Generate input.out" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-16T15:56:43.397Z: JOB_MESSAGE_BASIC: Executing operation ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0)
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INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-16T15:56:43.575Z: JOB_MESSAGE_BASIC: Executing operation ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)+Collect end time metrics
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-16T20:00:37.436Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2022-07-16_08_49_37-5928248296621796167.
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INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-16T20:00:37.597Z: JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-16T20:00:37.664Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
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INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-16_08_49_37-5928248296621796167 is in state JOB_STATE_CANCELLING
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INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-16T20:01:21.041Z: JOB_MESSAGE_BASIC: Worker pool stopped.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-16T20:01:21.077Z: JOB_MESSAGE_DEBUG: Tearing down pending resources...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-16_08_49_37-5928248296621796167 is in state JOB_STATE_CANCELLED
ERROR:apache_beam.runners.dataflow.dataflow_runner:Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2022-07-16_08_49_37-5928248296621796167?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 2s
15 actionable tasks: 3 executed, 12 up-to-date
Publishing build scan...
https://gradle.com/s/tgjzhebpf2sfa
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 #644
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_SideInput_Dataflow_Batch/644/display/redirect?page=changes>
Changes:
[Heejong Lee] [BEAM-22229] Override external SDK container URLs for Dataflow by
[danthev] Fix query retry in Java FirestoreIO.
[noreply] Split words on new lines or spaces (#22270)
[noreply] Replace \r\n, not just \n
[noreply] Pg auth test (#22277)
[noreply] [BEAM-14073] [CdapIO] CDAP IO for batch plugins: Read, Write. Unit tests
[Heejong Lee] update
[noreply] [Fix #22151] Add fhirio.Deidentify transform (#22152)
[noreply] Remove locks around ExecutionStateSampler (#22190)
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Building wheels for collected packages: apache-beam
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Uninstalling pluggy-1.0.0:
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Successfully installed apache-beam-2.41.0.dev0 atomicwrites-1.4.1 attrs-21.4.0 azure-core-1.24.2 azure-storage-blob-12.13.0 boto3-1.24.30 botocore-1.27.30 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-1.5.2 fasteners-0.17.3 freezegun-1.2.1 google-api-core-1.32.0 google-apitools-0.5.31 google-auth-1.35.0 google-auth-httplib2-0.1.0 google-cloud-bigquery-2.34.4 google-cloud-bigquery-storage-2.13.2 google-cloud-bigtable-1.7.2 google-cloud-core-2.3.1 google-cloud-datastore-1.15.5 google-cloud-dlp-3.7.1 google-cloud-language-1.3.2 google-cloud-pubsub-2.13.3 google-cloud-pubsublite-1.4.2 google-cloud-recommendations-ai-0.2.0 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-3.7.7 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-4.8 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 urllib3-1.26.10 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:2.41.0.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 0x7fd7cb5e4cb0> ====================
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function sort_stages at 0x7fd7cb5e54d0> ====================
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-9-0715100342.1657900665.138323/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-9-0715100342.1657900665.138323/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-9-0715100342.1657900665.138323/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-9-0715100342.1657900665.138323/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20220715155745139547-4022'
createTime: '2022-07-15T15:57:48.386613Z'
currentStateTime: '1970-01-01T00:00:00Z'
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INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2022-07-15_08_57_45-8688397851622296951]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2022-07-15_08_57_45-8688397851622296951
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2022-07-15_08_57_45-8688397851622296951?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-15_08_57_45-8688397851622296951 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-15T15:57:55.741Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-15T15:57:56.912Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-15T15:57:56.950Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-15T15:57:56.975Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-15T15:57:56.997Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-15T15:57:57.039Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-15T15:57:57.068Z: JOB_MESSAGE_DETAILED: Fusing consumer Get synthetic SDF options into Apply windows
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-15T15:57:57.090Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect start time metrics into Apply windows
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-15T15:57:57.123Z: JOB_MESSAGE_DETAILED: Fusing consumer Assign timestamps into Create/Read
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-15T15:57:57.154Z: JOB_MESSAGE_DETAILED: Fusing consumer Apply windows into Assign timestamps
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-15T15:57:57.181Z: JOB_MESSAGE_DETAILED: Fusing consumer Generate input into Get synthetic SDF options
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-15T15:57:57.207Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect end time metrics into ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-15T15:57:57.235Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-15T15:57:57.272Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-15T15:57:57.306Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-15T15:57:57.339Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-15T15:57:57.498Z: JOB_MESSAGE_DEBUG: Executing wait step start4
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-15T15:57:57.567Z: 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:2022-07-15T15:57:57.621Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-15T15:57:57.672Z: JOB_MESSAGE_BASIC: Starting 10 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-15_08_57_45-8688397851622296951 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-15T15:58:16.283Z: 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:2022-07-15T15:58:35.070Z: 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:2022-07-15T15:59:01.771Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-15T16:05:45.200Z: 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:2022-07-15T16:05:45.365Z: JOB_MESSAGE_DEBUG: Value "Collect start time metrics.out" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-15T16:05:45.404Z: JOB_MESSAGE_DEBUG: Value "Generate input.out" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-15T16:05:45.471Z: JOB_MESSAGE_BASIC: Executing operation ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-15T16:05:45.517Z: JOB_MESSAGE_BASIC: Finished operation ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-15T16:05:45.581Z: JOB_MESSAGE_DEBUG: Value "ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0).output" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-15T16:05:45.645Z: JOB_MESSAGE_BASIC: Executing operation ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)+Collect end time metrics
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-15T20:00:34.352Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2022-07-15_08_57_45-8688397851622296951.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-15T20:00:34.380Z: JOB_MESSAGE_BASIC: Finished operation ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)+Collect end time metrics
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-15T20:00:35.931Z: JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-15T20:00:35.991Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-15T20:00:36.023Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-15_08_57_45-8688397851622296951 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-15T20:01:18.624Z: JOB_MESSAGE_DETAILED: Autoscaling: Resized **** pool from 10 to 0.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-15T20:01:18.663Z: JOB_MESSAGE_BASIC: Worker pool stopped.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-15T20:01:18.689Z: JOB_MESSAGE_DEBUG: Tearing down pending resources...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-15_08_57_45-8688397851622296951 is in state JOB_STATE_CANCELLED
ERROR:apache_beam.runners.dataflow.dataflow_runner:Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2022-07-15_08_57_45-8688397851622296951?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 4m 53s
15 actionable tasks: 3 executed, 12 up-to-date
Publishing build scan...
https://gradle.com/s/4rzfyhmiqepvw
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 #643
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_SideInput_Dataflow_Batch/643/display/redirect?page=changes>
Changes:
[Heejong Lee] [BEAM-14506] Adding testcases and examples for xlang Python RunInference
[Heejong Lee] update
[Heejong Lee] update
[noreply] Move Go Primitives Integration Tests to Generic Registration (#22247)
[noreply] Move native Go examples to generic registration (#22245)
[noreply] Move youngoli to the reviewer exclusion list (#22195)
[noreply] Bump google.golang.org/api from 0.86.0 to 0.87.0 in /sdks (#22253)
[noreply] Bump cloud.google.com/go/bigquery from 1.34.1 to 1.35.0 in /sdks
[noreply] Bump google.golang.org/grpc from 1.47.0 to 1.48.0 in /sdks (#22252)
[noreply] Merge pull request #15786: Add gap-filling transform for timeseries
[chamikaramj] Adds an experiment that allows opting into using Kafka SDF-wrapper
[noreply] Defocus iframe on blur or mouseout (#22153) (#22154)
[noreply] Fix pydoc rendering for annotated classes (#22121)
[noreply] Fix typo in comment (#22266)
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Requirement already satisfied: setuptools>=40.3.0 in <https://ci-beam.apache.org/job/beam_LoadTests_Python_SideInput_Dataflow_Batch/ws/src/build/gradleenv/1329484227/lib/python3.7/site-packages> (from google-api-core[grpc,grpcgcp]!=2.0.*,!=2.1.*,!=2.2.*,!=2.3.0,<3.0.0dev,>=1.31.5->google-cloud-spanner<2,>=1.13.0->apache-beam==2.41.0.dev0) (63.2.0)
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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-2.41.0.dev0-py3-none-any.whl size=2823479 sha256=d92bded7fdd256dde73153e1176a00e226a39d09c772853f84dacf0cbb0aff5e
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-2.41.0.dev0 atomicwrites-1.4.1 attrs-21.4.0 azure-core-1.24.2 azure-storage-blob-12.13.0 boto3-1.24.29 botocore-1.27.29 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-1.5.2 fasteners-0.17.3 freezegun-1.2.1 google-api-core-1.32.0 google-apitools-0.5.31 google-auth-1.35.0 google-auth-httplib2-0.1.0 google-cloud-bigquery-2.34.4 google-cloud-bigquery-storage-2.13.2 google-cloud-bigtable-1.7.2 google-cloud-core-2.3.1 google-cloud-datastore-1.15.5 google-cloud-dlp-3.7.1 google-cloud-language-1.3.2 google-cloud-pubsub-2.13.3 google-cloud-pubsublite-1.4.2 google-cloud-recommendations-ai-0.2.0 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-3.7.7 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-4.8 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 urllib3-1.26.10 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:2.41.0.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 0x7f9678b4fcb0> ====================
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function sort_stages at 0x7f9678b504d0> ====================
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-9-0714100338.1657814050.680933/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-9-0714100338.1657814050.680933/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-9-0714100338.1657814050.680933/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-9-0714100338.1657814050.680933/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20220714155410682009-3470'
createTime: '2022-07-14T15:54:11.609141Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2022-07-14_08_54_11-195229078915675878'
location: 'us-central1'
name: 'load-tests-python-dataflow-batch-sideinput-9-0714100338'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2022-07-14T15:54:11.609141Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_BATCH, 1)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2022-07-14_08_54_11-195229078915675878]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2022-07-14_08_54_11-195229078915675878
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2022-07-14_08_54_11-195229078915675878?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-14_08_54_11-195229078915675878 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-14T15:54:15.750Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-14T15:54:21.595Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-14T15:54:21.626Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-14T15:54:21.645Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-14T15:54:21.671Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-14T15:54:21.703Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-14T15:54:21.721Z: JOB_MESSAGE_DETAILED: Fusing consumer Get synthetic SDF options into Apply windows
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-14T15:54:21.750Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect start time metrics into Apply windows
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-14T15:54:21.784Z: JOB_MESSAGE_DETAILED: Fusing consumer Assign timestamps into Create/Read
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-14T15:54:21.808Z: JOB_MESSAGE_DETAILED: Fusing consumer Apply windows into Assign timestamps
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-14T15:54:21.836Z: JOB_MESSAGE_DETAILED: Fusing consumer Generate input into Get synthetic SDF options
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-14T15:54:21.863Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect end time metrics into ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-14T15:54:21.901Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-14T15:54:21.919Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-14T15:54:21.951Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-14T15:54:21.986Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-14T15:54:22.137Z: JOB_MESSAGE_DEBUG: Executing wait step start4
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-14T15:54:22.207Z: 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:2022-07-14T15:54:22.250Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-14T15:54:22.293Z: JOB_MESSAGE_BASIC: Starting 10 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-14_08_54_11-195229078915675878 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-14T15:54:28.538Z: 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:2022-07-14T15:54:58.050Z: 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:2022-07-14T15:55:23.963Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-14T16:01:55.935Z: 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:2022-07-14T16:01:56.011Z: JOB_MESSAGE_DEBUG: Value "Collect start time metrics.out" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-14T16:01:56.047Z: JOB_MESSAGE_DEBUG: Value "Generate input.out" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-14T16:01:56.110Z: JOB_MESSAGE_BASIC: Executing operation ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-14T16:01:56.165Z: JOB_MESSAGE_BASIC: Finished operation ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-14T16:01:56.236Z: JOB_MESSAGE_DEBUG: Value "ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0).output" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-14T16:01:56.311Z: JOB_MESSAGE_BASIC: Executing operation ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)+Collect end time metrics
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-14T20:00:41.071Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2022-07-14_08_54_11-195229078915675878.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-14T20:00:41.097Z: JOB_MESSAGE_BASIC: Finished operation ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)+Collect end time metrics
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-14T20:00:41.271Z: JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-14T20:00:41.413Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-14_08_54_11-195229078915675878 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-14T20:00:41.460Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-14T20:01:22.483Z: JOB_MESSAGE_DETAILED: Autoscaling: Resized **** pool from 10 to 0.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-14T20:01:22.522Z: JOB_MESSAGE_BASIC: Worker pool stopped.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-14T20:01:22.548Z: JOB_MESSAGE_DEBUG: Tearing down pending resources...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-14_08_54_11-195229078915675878 is in state JOB_STATE_CANCELLED
ERROR:apache_beam.runners.dataflow.dataflow_runner:Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2022-07-14_08_54_11-195229078915675878?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 31s
15 actionable tasks: 3 executed, 12 up-to-date
Publishing build scan...
https://gradle.com/s/zdmnq3jac4x5a
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 #642
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_SideInput_Dataflow_Batch/642/display/redirect?page=changes>
Changes:
[naireenhussain] add new pubsub urn
[Pablo Estrada] Several requests to show experiments in Dataflow UI
[byronellis] Add org.pentaho to calcite relocated packages to fix vendoring
[noreply] Adding VladMatyunin as collaborator (#22239)
[noreply] Mark session runner as deprecated (#22242)
[noreply] Update google-cloud-core dependency to <3 (#22237)
[noreply] Move WC integration test to generic registration (#22248)
[noreply] Move Xlang Go examples to generic registration (#22249)
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[...truncated 715.70 KB...]
INFO: This is taking longer than usual. You might need to provide the dependency resolver with stricter constraints to reduce runtime. See https://pip.pypa.io/warnings/backtracking for guidance. If you want to abort this run, press Ctrl + C.
WARNING: google-api-core 2.8.2 does not provide the extra 'grpcgcp'
INFO: pip is looking at multiple versions of mock to determine which version is compatible with other requirements. This could take a while.
Collecting mock<3.0.0,>=1.0.1
Using cached mock-1.3.0-py2.py3-none-any.whl (56 kB)
WARNING: google-api-core 2.8.2 does not provide the extra 'grpcgcp'
INFO: pip is looking at multiple versions of orjson to determine which version is compatible with other requirements. This could take a while.
Using cached mock-1.2.0-py2.py3-none-any.whl (55 kB)
WARNING: google-api-core 2.8.2 does not provide the extra 'grpcgcp'
WARNING: google-api-core 2.8.2 does not provide the extra 'grpcgcp'
WARNING: google-api-core 2.8.2 does not provide the extra 'grpcgcp'
WARNING: google-api-core 2.8.2 does not provide the extra 'grpcgcp'
WARNING: google-api-core 2.8.2 does not provide the extra 'grpcgcp'
WARNING: google-api-core 2.8.2 does not provide the extra 'grpcgcp'
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==2.41.0.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-2.41.0.dev0-py3-none-any.whl size=2822936 sha256=623f5ab9c1fe06ca82b14d8141795cf1c8fabcd59d033136f230662656c534c0
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-2.41.0.dev0 atomicwrites-1.4.1 attrs-21.4.0 azure-core-1.24.2 azure-storage-blob-12.13.0 boto3-1.24.28 botocore-1.27.28 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-1.5.2 fasteners-0.17.3 freezegun-1.2.1 google-api-core-1.32.0 google-apitools-0.5.31 google-auth-1.35.0 google-auth-httplib2-0.1.0 google-cloud-bigquery-2.34.4 google-cloud-bigquery-storage-2.13.2 google-cloud-bigtable-1.7.2 google-cloud-core-2.3.1 google-cloud-datastore-1.15.5 google-cloud-dlp-3.7.1 google-cloud-language-1.3.2 google-cloud-pubsub-2.13.1 google-cloud-pubsublite-1.4.2 google-cloud-recommendations-ai-0.2.0 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-3.7.7 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-4.8 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 urllib3-1.26.10 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:2.41.0.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 0x7fe9b24d37a0> ====================
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function sort_stages at 0x7fe9b24d3f80> ====================
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-9-0713100321.1657728157.061564/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-9-0713100321.1657728157.061564/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-9-0713100321.1657728157.061564/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-9-0713100321.1657728157.061564/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20220713160237062565-7722'
createTime: '2022-07-13T16:02:38.051815Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2022-07-13_09_02_37-3754373637414011922'
location: 'us-central1'
name: 'load-tests-python-dataflow-batch-sideinput-9-0713100321'
projectId: 'apache-beam-testing'
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startTime: '2022-07-13T16:02:38.051815Z'
steps: []
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type: TypeValueValuesEnum(JOB_TYPE_BATCH, 1)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2022-07-13_09_02_37-3754373637414011922]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2022-07-13_09_02_37-3754373637414011922
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2022-07-13_09_02_37-3754373637414011922?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-13_09_02_37-3754373637414011922 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-13T16:02:42.986Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-a.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-13T16:02:48.799Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-13T16:02:48.838Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-13T16:02:48.877Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-13T16:02:48.911Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-13T16:02:48.951Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-13T16:02:48.977Z: JOB_MESSAGE_DETAILED: Fusing consumer Get synthetic SDF options into Apply windows
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-13T16:02:49.012Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect start time metrics into Apply windows
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-13T16:02:49.043Z: JOB_MESSAGE_DETAILED: Fusing consumer Assign timestamps into Create/Read
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-13T16:02:49.079Z: JOB_MESSAGE_DETAILED: Fusing consumer Apply windows into Assign timestamps
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-13T16:02:49.111Z: JOB_MESSAGE_DETAILED: Fusing consumer Generate input into Get synthetic SDF options
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-13T16:02:49.142Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect end time metrics into ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-13T16:02:49.181Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-13T16:02:49.208Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-13T16:02:49.232Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-13T16:02:49.267Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-13T16:02:49.404Z: JOB_MESSAGE_DEBUG: Executing wait step start4
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-13T16:02:49.470Z: 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:2022-07-13T16:02:49.563Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-13T16:02:49.589Z: JOB_MESSAGE_BASIC: Starting 10 ****s in us-central1-a...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-13_09_02_37-3754373637414011922 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-13T16:02:53.758Z: 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:2022-07-13T16:03:23.283Z: 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:2022-07-13T16:03:47.764Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-13T16:10:51.575Z: 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:2022-07-13T16:10:51.754Z: JOB_MESSAGE_DEBUG: Value "Collect start time metrics.out" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-13T16:10:51.778Z: JOB_MESSAGE_DEBUG: Value "Generate input.out" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-13T16:10:51.876Z: JOB_MESSAGE_BASIC: Executing operation ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-13T16:10:51.942Z: JOB_MESSAGE_BASIC: Finished operation ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-13T16:10:52.009Z: JOB_MESSAGE_DEBUG: Value "ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0).output" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-13T16:10:52.073Z: JOB_MESSAGE_BASIC: Executing operation ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)+Collect end time metrics
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-13T20:00:42.924Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2022-07-13_09_02_37-3754373637414011922.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-13T20:00:42.954Z: JOB_MESSAGE_BASIC: Finished operation ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)+Collect end time metrics
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-13T20:00:43.129Z: JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-13T20:00:43.225Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-13T20:00:43.251Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-13_09_02_37-3754373637414011922 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-13T20:01:26.866Z: JOB_MESSAGE_DETAILED: Autoscaling: Resized **** pool from 10 to 0.
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INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-13_09_02_37-3754373637414011922 is in state JOB_STATE_CANCELLED
ERROR:apache_beam.runners.dataflow.dataflow_runner:Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2022-07-13_09_02_37-3754373637414011922?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 24s
15 actionable tasks: 3 executed, 12 up-to-date
Publishing build scan...
https://gradle.com/s/x6qwjiaq2rz4a
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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beam_LoadTests_Python_SideInput_Dataflow_Batch - Build # 641 - Aborted:
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Build failed in Jenkins: beam_LoadTests_Python_SideInput_Dataflow_Batch #640
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_SideInput_Dataflow_Batch/640/display/redirect?page=changes>
Changes:
[noreply] [Website] Update minimum required Go version for sdk development
[noreply] Parallelizable DataFrame/Series mean (#22174)
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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 0x7f49c87c94d0> ====================
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function sort_stages at 0x7f49c87c9cb0> ====================
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-9-0706185509.1657554701.228033/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-9-0706185509.1657554701.228033/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-9-0706185509.1657554701.228033/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-9-0706185509.1657554701.228033/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20220711155141229027-5505'
createTime: '2022-07-11T15:51:42.904157Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2022-07-11_08_51_41-5493780359275259095'
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name: 'load-tests-python-dataflow-batch-sideinput-9-0706185509'
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INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2022-07-11_08_51_41-5493780359275259095]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2022-07-11_08_51_41-5493780359275259095
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2022-07-11_08_51_41-5493780359275259095?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-11_08_51_41-5493780359275259095 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-11T15:51:47.626Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-11T15:51:48.581Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-11T15:51:48.621Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-11T15:51:48.637Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-11T15:51:48.668Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-11T15:51:48.708Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-11T15:51:48.732Z: JOB_MESSAGE_DETAILED: Fusing consumer Get synthetic SDF options into Apply windows
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-11T15:51:48.768Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect start time metrics into Apply windows
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-11T15:51:48.812Z: JOB_MESSAGE_DETAILED: Fusing consumer Assign timestamps into Create/Read
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-11T15:51:48.855Z: JOB_MESSAGE_DETAILED: Fusing consumer Apply windows into Assign timestamps
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-11T15:51:48.881Z: JOB_MESSAGE_DETAILED: Fusing consumer Generate input into Get synthetic SDF options
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-11T15:51:48.908Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect end time metrics into ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-11T15:51:48.947Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-11T15:51:48.968Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-11T15:51:48.999Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-11T15:51:49.032Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-11T15:51:49.162Z: JOB_MESSAGE_DEBUG: Executing wait step start4
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-11T15:51:49.249Z: 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:2022-07-11T15:51:49.299Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-11T15:51:49.327Z: JOB_MESSAGE_BASIC: Starting 10 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-11_08_51_41-5493780359275259095 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-11T15:52:04.919Z: 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:2022-07-11T15:52:27.012Z: 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:2022-07-11T15:52:51.235Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-11T15:59:08.645Z: 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:2022-07-11T15:59:08.703Z: JOB_MESSAGE_DEBUG: Value "Collect start time metrics.out" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-11T15:59:08.763Z: JOB_MESSAGE_DEBUG: Value "Generate input.out" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-11T15:59:08.821Z: JOB_MESSAGE_BASIC: Executing operation ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-11T15:59:08.952Z: JOB_MESSAGE_BASIC: Finished operation ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-11T15:59:09.039Z: JOB_MESSAGE_DEBUG: Value "ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0).output" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-11T15:59:09.107Z: JOB_MESSAGE_BASIC: Executing operation ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)+Collect end time metrics
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-11T20:00:41.214Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2022-07-11_08_51_41-5493780359275259095.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-11T20:00:41.248Z: JOB_MESSAGE_BASIC: Finished operation ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)+Collect end time metrics
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-11T20:00:41.597Z: JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-11T20:00:41.663Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-11T20:00:41.694Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-11_08_51_41-5493780359275259095 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-11T20:01:24.455Z: JOB_MESSAGE_DETAILED: Autoscaling: Resized **** pool from 10 to 0.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-11T20:01:25.070Z: JOB_MESSAGE_BASIC: Worker pool stopped.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-11T20:01:25.138Z: JOB_MESSAGE_DEBUG: Tearing down pending resources...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-11_08_51_41-5493780359275259095 is in state JOB_STATE_CANCELLED
ERROR:apache_beam.runners.dataflow.dataflow_runner:Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2022-07-11_08_51_41-5493780359275259095?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 11m 5s
15 actionable tasks: 3 executed, 12 up-to-date
Publishing build scan...
https://gradle.com/s/hxqt3cxifjm3e
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 #639
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_SideInput_Dataflow_Batch/639/display/redirect?page=changes>
Changes:
[noreply] Add typescript documentation to the programing guide. (#22137)
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Uninstalling pluggy-1.0.0:
Successfully uninstalled pluggy-1.0.0
Successfully installed apache-beam-2.41.0.dev0 atomicwrites-1.4.1 attrs-21.4.0 azure-core-1.24.2 azure-storage-blob-12.13.0 boto3-1.24.26 botocore-1.27.26 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-1.5.2 fasteners-0.17.3 freezegun-1.2.1 google-api-core-1.31.6 google-apitools-0.5.31 google-auth-1.35.0 google-auth-httplib2-0.1.0 google-cloud-bigquery-2.34.4 google-cloud-bigquery-storage-2.13.2 google-cloud-bigtable-1.7.2 google-cloud-core-1.7.2 google-cloud-datastore-1.15.5 google-cloud-dlp-3.7.1 google-cloud-language-1.3.2 google-cloud-pubsub-2.13.1 google-cloud-pubsublite-1.4.2 google-cloud-recommendations-ai-0.2.0 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-1.56.3 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-3.7.7 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-4.8 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 urllib3-1.26.10 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:2.41.0.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 0x7f2b40e664d0> ====================
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function sort_stages at 0x7f2b40e66cb0> ====================
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-9-0706185509.1657468222.639499/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-9-0706185509.1657468222.639499/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-9-0706185509.1657468222.639499/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-9-0706185509.1657468222.639499/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20220710155022640527-2452'
createTime: '2022-07-10T15:50:23.477928Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2022-07-10_08_50_23-6641376287046628665'
location: 'us-central1'
name: 'load-tests-python-dataflow-batch-sideinput-9-0706185509'
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startTime: '2022-07-10T15:50:23.477928Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_BATCH, 1)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2022-07-10_08_50_23-6641376287046628665]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2022-07-10_08_50_23-6641376287046628665
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2022-07-10_08_50_23-6641376287046628665?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-10_08_50_23-6641376287046628665 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-10T15:50:25.599Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-10T15:50:26.512Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-10T15:50:26.549Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-10T15:50:26.594Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-10T15:50:26.627Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-10T15:50:26.661Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-10T15:50:26.687Z: JOB_MESSAGE_DETAILED: Fusing consumer Get synthetic SDF options into Apply windows
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-10T15:50:26.722Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect start time metrics into Apply windows
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-10T15:50:26.779Z: JOB_MESSAGE_DETAILED: Fusing consumer Assign timestamps into Create/Read
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-10T15:50:26.812Z: JOB_MESSAGE_DETAILED: Fusing consumer Apply windows into Assign timestamps
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-10T15:50:26.838Z: JOB_MESSAGE_DETAILED: Fusing consumer Generate input into Get synthetic SDF options
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-10T15:50:26.866Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect end time metrics into ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-10T15:50:26.906Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-10T15:50:26.930Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-10T15:50:26.964Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-10T15:50:26.991Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-10T15:50:27.139Z: JOB_MESSAGE_DEBUG: Executing wait step start4
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-10T15:50:27.195Z: 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:2022-07-10T15:50:27.233Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-10T15:50:27.259Z: JOB_MESSAGE_BASIC: Starting 10 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-10_08_50_23-6641376287046628665 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-10T15:50:52.172Z: 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:2022-07-10T15:51:03.215Z: 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:2022-07-10T15:51:26.875Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-10T15:57:40.964Z: 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:2022-07-10T15:57:41.020Z: JOB_MESSAGE_DEBUG: Value "Collect start time metrics.out" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-10T15:57:41.041Z: JOB_MESSAGE_DEBUG: Value "Generate input.out" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-10T15:57:41.110Z: JOB_MESSAGE_BASIC: Executing operation ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-10T15:57:41.244Z: JOB_MESSAGE_BASIC: Finished operation ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-10T15:57:41.311Z: JOB_MESSAGE_DEBUG: Value "ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0).output" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-10T15:57:41.380Z: JOB_MESSAGE_BASIC: Executing operation ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)+Collect end time metrics
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-10T20:00:38.732Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2022-07-10_08_50_23-6641376287046628665.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-10T20:00:38.758Z: JOB_MESSAGE_BASIC: Finished operation ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)+Collect end time metrics
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-10_08_50_23-6641376287046628665 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-10T20:00:39.437Z: JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-10T20:00:39.480Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-10T20:00:39.507Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-10T20:01:14.738Z: JOB_MESSAGE_DETAILED: Autoscaling: Resized **** pool from 10 to 0.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-10T20:01:14.768Z: JOB_MESSAGE_BASIC: Worker pool stopped.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-10T20:01:14.816Z: JOB_MESSAGE_DEBUG: Tearing down pending resources...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-10_08_50_23-6641376287046628665 is in state JOB_STATE_CANCELLED
ERROR:apache_beam.runners.dataflow.dataflow_runner:Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2022-07-10_08_50_23-6641376287046628665?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 12m 11s
15 actionable tasks: 3 executed, 12 up-to-date
Publishing build scan...
https://gradle.com/s/5mbunyoaej7xu
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 #638
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_SideInput_Dataflow_Batch/638/display/redirect?page=changes>
Changes:
[bulat.safiullin] [Website] change case studies link from staging to relative path
[bulat.safiullin] [Website] add I/O Connectors link to dropdown list, updating link to
[noreply] Update Go BPG xlang documentation to include Java automated service
[noreply] Merge pull request #22096 from [Playground] Infrastructure for sharing
[noreply] Support dependencies and remote registration in the typescript SDK.
[noreply] [BEAM-13015, #22050] Make SDK harness msec counters faster using ordered
[yathu] Fix build error due to dep confliction of google-cloud-bigquery-storage
[yathu] Fix atomicwrites old version purge on pypi
[noreply] Fix default type inference of CombinePerKey. (#16351)
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Collecting google-api-core[grpc,grpcgcp]!=2.0.*,!=2.1.*,!=2.2.*,!=2.3.0,<3.0.0dev,>=1.31.5
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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==2.41.0.dev0) (3.8.0)
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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-2.41.0.dev0-py3-none-any.whl size=2821108 sha256=e79cf7486c766b3de4cb5b3cdbd6bbb59b5886913f84ce1ddcd790909165d13f
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-2.41.0.dev0 atomicwrites-1.4.1 attrs-21.4.0 azure-core-1.24.2 azure-storage-blob-12.13.0 boto3-1.24.26 botocore-1.27.26 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-1.5.2 fasteners-0.17.3 freezegun-1.2.1 google-api-core-1.31.6 google-apitools-0.5.31 google-auth-1.35.0 google-auth-httplib2-0.1.0 google-cloud-bigquery-2.34.4 google-cloud-bigquery-storage-2.13.2 google-cloud-bigtable-1.7.2 google-cloud-core-1.7.2 google-cloud-datastore-1.15.5 google-cloud-dlp-3.7.1 google-cloud-language-1.3.2 google-cloud-pubsub-2.13.1 google-cloud-pubsublite-1.4.2 google-cloud-recommendations-ai-0.2.0 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-1.56.3 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-3.7.7 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-4.8 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 urllib3-1.26.10 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:2.41.0.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 0x7fe652f754d0> ====================
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function sort_stages at 0x7fe652f75cb0> ====================
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-9-0706185509.1657381831.616678/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-9-0706185509.1657381831.616678/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-9-0706185509.1657381831.616678/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-9-0706185509.1657381831.616678/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20220709155031617635-4314'
createTime: '2022-07-09T15:50:32.491390Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2022-07-09_08_50_32-16253678472489847359'
location: 'us-central1'
name: 'load-tests-python-dataflow-batch-sideinput-9-0706185509'
projectId: 'apache-beam-testing'
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startTime: '2022-07-09T15:50:32.491390Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_BATCH, 1)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2022-07-09_08_50_32-16253678472489847359]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2022-07-09_08_50_32-16253678472489847359
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2022-07-09_08_50_32-16253678472489847359?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-09_08_50_32-16253678472489847359 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-09T15:50:34.682Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-09T15:50:35.559Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-09T15:50:35.600Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-09T15:50:35.627Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-09T15:50:35.660Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-09T15:50:35.712Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-09T15:50:35.739Z: JOB_MESSAGE_DETAILED: Fusing consumer Get synthetic SDF options into Apply windows
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-09T15:50:35.772Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect start time metrics into Apply windows
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-09T15:50:35.795Z: JOB_MESSAGE_DETAILED: Fusing consumer Assign timestamps into Create/Read
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-09T15:50:35.827Z: JOB_MESSAGE_DETAILED: Fusing consumer Apply windows into Assign timestamps
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-09T15:50:35.858Z: JOB_MESSAGE_DETAILED: Fusing consumer Generate input into Get synthetic SDF options
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-09T15:50:35.881Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect end time metrics into ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-09T15:50:35.907Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-09T15:50:35.926Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-09T15:50:35.948Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-09T15:50:35.980Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-09T15:50:36.112Z: JOB_MESSAGE_DEBUG: Executing wait step start4
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-09T15:50:36.179Z: 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:2022-07-09T15:50:36.222Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-09T15:50:36.249Z: JOB_MESSAGE_BASIC: Starting 10 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-09_08_50_32-16253678472489847359 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-09T15:51:12.073Z: 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:2022-07-09T15:51:12.097Z: 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:2022-07-09T15:51:37.496Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-09T15:57:02.181Z: 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:2022-07-09T15:57:02.254Z: JOB_MESSAGE_DEBUG: Value "Collect start time metrics.out" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-09T15:57:02.288Z: JOB_MESSAGE_DEBUG: Value "Generate input.out" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-09T15:57:02.345Z: JOB_MESSAGE_BASIC: Executing operation ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-09T15:57:02.392Z: JOB_MESSAGE_BASIC: Finished operation ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-09T15:57:02.457Z: JOB_MESSAGE_DEBUG: Value "ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0).output" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-09T15:57:02.510Z: JOB_MESSAGE_BASIC: Executing operation ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)+Collect end time metrics
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-09T20:00:39.608Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2022-07-09_08_50_32-16253678472489847359.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-09T20:00:39.630Z: JOB_MESSAGE_BASIC: Finished operation ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)+Collect end time metrics
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-09T20:00:39.786Z: JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-09T20:00:39.947Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-09T20:00:39.972Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-09_08_50_32-16253678472489847359 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-09T20:01:21.967Z: JOB_MESSAGE_DETAILED: Autoscaling: Resized **** pool from 10 to 0.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-09T20:01:22.001Z: JOB_MESSAGE_BASIC: Worker pool stopped.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-09T20:01:22.026Z: JOB_MESSAGE_DEBUG: Tearing down pending resources...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-09_08_50_32-16253678472489847359 is in state JOB_STATE_CANCELLED
ERROR:apache_beam.runners.dataflow.dataflow_runner:Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2022-07-09_08_50_32-16253678472489847359?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 12m 3s
15 actionable tasks: 3 executed, 12 up-to-date
Publishing build scan...
https://gradle.com/s/lwgf6rd2ol27s
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 #637
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_SideInput_Dataflow_Batch/637/display/redirect?page=changes>
Changes:
[bulat.safiullin] [Website] add refresh to page-nav.js
[relax] set timestamp when outputting finalize element
[alexey.inkin] Declarative theming, Remove duplicate PlaygroundState for embedded page,
[yathu] Fix Hadoop upload corrupted due to buffer reuse
[noreply] Propogate error messages from GcsUtil (#22079)
[noreply] Reenable Jenkins comment triggers (#22169)
[benjamin.gonzalez] Fix testKafkaIOReadsAndWritesCorrectlyInStreaming failing for kafka
[noreply] Add `schema_options` and `field_options` on RowTypeConstraint (#22133)
[noreply] Optimize locking in several critical-path methods (#22162)
[noreply] Deprecate AWS IOs (Java) using AWS SDK v1 in favor of IOs in
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Collecting azure-core>=1.7.0
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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==2.41.0.dev0) (1.16.0)
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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-2.41.0.dev0-py3-none-any.whl size=2820252 sha256=4e5128a5d636641f897001aeff5f6f60c89708b2627695f7c7a0b6f293fa57f9
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:
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Successfully installed apache-beam-2.41.0.dev0 atomicwrites-1.4.0 attrs-21.4.0 azure-core-1.24.2 azure-storage-blob-12.13.0 boto3-1.24.25 botocore-1.27.25 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-1.5.2 fasteners-0.17.3 freezegun-1.2.1 google-api-core-1.31.6 google-apitools-0.5.31 google-auth-1.35.0 google-auth-httplib2-0.1.0 google-cloud-bigquery-2.34.4 google-cloud-bigquery-storage-2.13.2 google-cloud-bigtable-1.7.2 google-cloud-core-1.7.2 google-cloud-datastore-1.15.5 google-cloud-dlp-3.7.1 google-cloud-language-1.3.2 google-cloud-pubsub-2.13.1 google-cloud-pubsublite-1.4.2 google-cloud-recommendations-ai-0.2.0 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-1.56.3 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-3.7.7 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-4.8 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 urllib3-1.26.10 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:2.41.0.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 0x7fd54c2bc050> ====================
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function sort_stages at 0x7fd54c2bc830> ====================
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-9-0706185509.1657295919.118543/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-9-0706185509.1657295919.118543/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-9-0706185509.1657295919.118543/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-9-0706185509.1657295919.118543/pipeline.pb in 0 seconds.
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['shuffle_mode=appliance', '--side_input_type=iter', '--access_percentage=1', '--window_count=1000']
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['shuffle_mode=appliance', '--side_input_type=iter', '--access_percentage=1', '--window_count=1000']
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20220708155839119523-6409'
createTime: '2022-07-08T15:58:40.000060Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2022-07-08_08_58_39-9369900735363263071'
location: 'us-central1'
name: 'load-tests-python-dataflow-batch-sideinput-9-0706185509'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2022-07-08T15:58:40.000060Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_BATCH, 1)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2022-07-08_08_58_39-9369900735363263071]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2022-07-08_08_58_39-9369900735363263071
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2022-07-08_08_58_39-9369900735363263071?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-08_08_58_39-9369900735363263071 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-08T15:58:42.590Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-08T15:58:47.682Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-08T15:58:47.721Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-08T15:58:47.741Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-08T15:58:47.772Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-08T15:58:47.806Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-08T15:58:47.861Z: JOB_MESSAGE_DETAILED: Fusing consumer Get synthetic SDF options into Apply windows
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-08T15:58:47.892Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect start time metrics into Apply windows
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-08T15:58:47.925Z: JOB_MESSAGE_DETAILED: Fusing consumer Assign timestamps into Create/Read
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-08T15:58:47.954Z: JOB_MESSAGE_DETAILED: Fusing consumer Apply windows into Assign timestamps
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-08T15:58:47.983Z: JOB_MESSAGE_DETAILED: Fusing consumer Generate input into Get synthetic SDF options
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-08T15:58:48.005Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect end time metrics into ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-08T15:58:48.045Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-08T15:58:48.075Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-08T15:58:48.109Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-08T15:58:48.144Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-08T15:58:48.296Z: JOB_MESSAGE_DEBUG: Executing wait step start4
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-08T15:58:48.365Z: 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:2022-07-08T15:58:48.412Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-08T15:58:48.436Z: JOB_MESSAGE_BASIC: Starting 10 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-08_08_58_39-9369900735363263071 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-08T15:58:54.034Z: 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:2022-07-08T15:59:21.970Z: 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:2022-07-08T15:59:48.443Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-08T16:06:34.788Z: 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:2022-07-08T16:06:34.857Z: JOB_MESSAGE_DEBUG: Value "Collect start time metrics.out" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-08T16:06:34.879Z: JOB_MESSAGE_DEBUG: Value "Generate input.out" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-08T16:06:34.922Z: JOB_MESSAGE_BASIC: Executing operation ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-08T16:06:34.970Z: JOB_MESSAGE_BASIC: Finished operation ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-08T16:06:35.035Z: JOB_MESSAGE_DEBUG: Value "ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0).output" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-08T16:06:35.090Z: JOB_MESSAGE_BASIC: Executing operation ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)+Collect end time metrics
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-08T20:01:28.946Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2022-07-08_08_58_39-9369900735363263071.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-08T20:01:28.974Z: JOB_MESSAGE_BASIC: Finished operation ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)+Collect end time metrics
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-08T20:01:29.105Z: JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-08T20:01:29.201Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-08T20:01:29.264Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-08_08_58_39-9369900735363263071 is in state JOB_STATE_CANCELLING
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INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-08T20:02:03.189Z: JOB_MESSAGE_DEBUG: Tearing down pending resources...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-08_08_58_39-9369900735363263071 is in state JOB_STATE_CANCELLED
ERROR:apache_beam.runners.dataflow.dataflow_runner:Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2022-07-08_08_58_39-9369900735363263071?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 4m 38s
15 actionable tasks: 3 executed, 12 up-to-date
Publishing build scan...
https://gradle.com/s/rd3ybizsgiudq
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 #636
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_SideInput_Dataflow_Batch/636/display/redirect?page=changes>
Changes:
[noreply] [BEAM-11103] Add blog post for go 2.40 release (#17723)
[noreply] Fix test_row_coder_fail_early_bad_schema fails run after
[noreply] Tune ByteStringCoder allocations (#22144)
[noreply] Enable passing tests on dataflow runner v2. (#22136)
[noreply] Merge pull request #17727 from [BEAM-9482] Fix "provided port is already
[noreply] Fix date for go 2.40 blog post
[noreply] Fix month for 2.40 go blog post
[noreply] [BEAM-14545] Optimize copies in dataflow v1 shuffle reader. (#17802)
[noreply] Tune StreamingModeExecutionContext allocations (#22142)
[noreply] [BEAM-3221] Improve documentation around split request and response
[noreply] Fix documentation about hand implemented global aggregations (#22173)
[noreply] Merge pull request #21872 from Standardizing output of WriteToBigQuery
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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 0x7f1be88987a0> ====================
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function sort_stages at 0x7f1be8898f80> ====================
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-9-0706185509.1657209353.957708/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-9-0706185509.1657209353.957708/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-9-0706185509.1657209353.957708/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-9-0706185509.1657209353.957708/pipeline.pb in 0 seconds.
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['shuffle_mode=appliance', '--side_input_type=iter', '--access_percentage=1', '--window_count=1000']
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['shuffle_mode=appliance', '--side_input_type=iter', '--access_percentage=1', '--window_count=1000']
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20220707155553958978-9137'
createTime: '2022-07-07T15:55:54.773136Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2022-07-07_08_55_54-4324016978302662400'
location: 'us-central1'
name: 'load-tests-python-dataflow-batch-sideinput-9-0706185509'
projectId: 'apache-beam-testing'
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steps: []
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type: TypeValueValuesEnum(JOB_TYPE_BATCH, 1)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2022-07-07_08_55_54-4324016978302662400]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2022-07-07_08_55_54-4324016978302662400
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2022-07-07_08_55_54-4324016978302662400?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-07_08_55_54-4324016978302662400 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-07T15:55:58.248Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-07T15:55:59.447Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-07T15:55:59.484Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-07T15:55:59.514Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-07T15:55:59.547Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-07T15:55:59.579Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-07T15:55:59.603Z: JOB_MESSAGE_DETAILED: Fusing consumer Get synthetic SDF options into Apply windows
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-07T15:55:59.629Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect start time metrics into Apply windows
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-07T15:55:59.660Z: JOB_MESSAGE_DETAILED: Fusing consumer Assign timestamps into Create/Read
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-07T15:55:59.695Z: JOB_MESSAGE_DETAILED: Fusing consumer Apply windows into Assign timestamps
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-07T15:55:59.732Z: JOB_MESSAGE_DETAILED: Fusing consumer Generate input into Get synthetic SDF options
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-07T15:55:59.775Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect end time metrics into ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-07T15:55:59.826Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-07T15:55:59.859Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
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INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-07T15:55:59.913Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-07_08_55_54-4324016978302662400 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-07T15:56:00.042Z: JOB_MESSAGE_DEBUG: Executing wait step start4
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-07T15:56:00.104Z: 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:2022-07-07T15:56:00.145Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-07T15:56:00.191Z: JOB_MESSAGE_BASIC: Starting 10 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-07T15:56:08.429Z: 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:2022-07-07T15:56:34.696Z: 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:2022-07-07T15:57:01.825Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-07T16:03:47.665Z: 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:2022-07-07T16:03:47.756Z: JOB_MESSAGE_DEBUG: Value "Collect start time metrics.out" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-07T16:03:47.789Z: JOB_MESSAGE_DEBUG: Value "Generate input.out" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-07T16:03:47.854Z: JOB_MESSAGE_BASIC: Executing operation ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-07T16:03:47.937Z: JOB_MESSAGE_BASIC: Finished operation ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-07T16:03:48.030Z: JOB_MESSAGE_DEBUG: Value "ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0).output" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-07T16:03:48.209Z: JOB_MESSAGE_BASIC: Executing operation ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)+Collect end time metrics
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-07T20:00:37.662Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2022-07-07_08_55_54-4324016978302662400.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-07T20:00:37.692Z: JOB_MESSAGE_BASIC: Finished operation ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)+Collect end time metrics
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-07T20:00:37.847Z: JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-07T20:00:37.941Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-07T20:00:37.965Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-07_08_55_54-4324016978302662400 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-07T20:01:28.016Z: JOB_MESSAGE_DETAILED: Autoscaling: Resized **** pool from 10 to 0.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-07T20:01:28.062Z: JOB_MESSAGE_BASIC: Worker pool stopped.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-07T20:01:28.092Z: JOB_MESSAGE_DEBUG: Tearing down pending resources...
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 1665, in wait_until_finish
'{}'.format(consoleUrl))
AssertionError: Job did not reach to a terminal state after waiting indefinitely. Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2022-07-07_08_55_54-4324016978302662400?project=<ProjectId>
> Task :sdks:python:apache_beam:testing:load_tests:run FAILED
FAILURE: Build failed with an exception.
* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_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 6m 49s
15 actionable tasks: 3 executed, 12 up-to-date
Publishing build scan...
https://gradle.com/s/c75w5m2vlwj5o
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 #635
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_SideInput_Dataflow_Batch/635/display/redirect>
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Successfully installed apache-beam-2.41.0.dev0 atomicwrites-1.4.0 attrs-21.4.0 azure-core-1.24.2 azure-storage-blob-12.12.0 boto3-1.24.23 botocore-1.27.23 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-1.5.2 fasteners-0.17.3 freezegun-1.2.1 google-api-core-1.31.6 google-apitools-0.5.31 google-auth-1.35.0 google-auth-httplib2-0.1.0 google-cloud-bigquery-2.34.4 google-cloud-bigquery-storage-2.13.2 google-cloud-bigtable-1.7.2 google-cloud-core-1.7.2 google-cloud-datastore-1.15.5 google-cloud-dlp-3.7.1 google-cloud-language-1.3.2 google-cloud-pubsub-2.13.0 google-cloud-pubsublite-1.4.2 google-cloud-recommendations-ai-0.2.0 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-1.56.3 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-3.7.6 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-4.8 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 urllib3-1.26.9 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:2.41.0.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 0x7faba5c8ad40> ====================
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function sort_stages at 0x7faba5c89560> ====================
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-9-0706100322.1657123055.137954/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-9-0706100322.1657123055.137954/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-9-0706100322.1657123055.137954/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-9-0706100322.1657123055.137954/pipeline.pb in 0 seconds.
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['shuffle_mode=appliance', '--side_input_type=iter', '--access_percentage=1', '--window_count=1000']
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['shuffle_mode=appliance', '--side_input_type=iter', '--access_percentage=1', '--window_count=1000']
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20220706155735139097-7591'
createTime: '2022-07-06T15:57:35.988529Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2022-07-06_08_57_35-8662674459413626620'
location: 'us-central1'
name: 'load-tests-python-dataflow-batch-sideinput-9-0706100322'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2022-07-06T15:57:35.988529Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_BATCH, 1)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2022-07-06_08_57_35-8662674459413626620]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2022-07-06_08_57_35-8662674459413626620
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2022-07-06_08_57_35-8662674459413626620?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-06_08_57_35-8662674459413626620 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-06T15:57:37.796Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-06T15:57:38.662Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-06T15:57:38.690Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-06T15:57:38.712Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-06T15:57:38.733Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-06T15:57:38.773Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-06T15:57:38.799Z: JOB_MESSAGE_DETAILED: Fusing consumer Get synthetic SDF options into Apply windows
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-06T15:57:38.824Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect start time metrics into Apply windows
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-06T15:57:38.847Z: JOB_MESSAGE_DETAILED: Fusing consumer Assign timestamps into Create/Read
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-06T15:57:38.875Z: JOB_MESSAGE_DETAILED: Fusing consumer Apply windows into Assign timestamps
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-06T15:57:38.893Z: JOB_MESSAGE_DETAILED: Fusing consumer Generate input into Get synthetic SDF options
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-06T15:57:38.916Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect end time metrics into ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-06T15:57:38.971Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-06T15:57:38.993Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-06T15:57:39.015Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-06T15:57:39.039Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-06T15:57:39.161Z: JOB_MESSAGE_DEBUG: Executing wait step start4
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-06T15:57:39.241Z: 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:2022-07-06T15:57:39.276Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-06T15:57:39.321Z: JOB_MESSAGE_BASIC: Starting 10 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-06_08_57_35-8662674459413626620 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-06T15:57:48.517Z: 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:2022-07-06T15:58:12.112Z: 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:2022-07-06T15:58:43.947Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-06T16:04:43.915Z: 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:2022-07-06T16:04:44.022Z: JOB_MESSAGE_DEBUG: Value "Collect start time metrics.out" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-06T16:04:44.044Z: JOB_MESSAGE_DEBUG: Value "Generate input.out" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-06T16:04:44.089Z: JOB_MESSAGE_BASIC: Executing operation ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-06T16:04:44.135Z: JOB_MESSAGE_BASIC: Finished operation ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-06T16:04:44.219Z: JOB_MESSAGE_DEBUG: Value "ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0).output" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-06T16:04:44.306Z: JOB_MESSAGE_BASIC: Executing operation ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)+Collect end time metrics
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-06T20:00:39.631Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2022-07-06_08_57_35-8662674459413626620.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-06T20:00:39.655Z: JOB_MESSAGE_BASIC: Finished operation ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)+Collect end time metrics
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-06T20:00:40.697Z: JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-06T20:00:40.743Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-06T20:00:40.785Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-06_08_57_35-8662674459413626620 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-06T20:01:13.349Z: JOB_MESSAGE_DETAILED: Autoscaling: Resized **** pool from 10 to 0.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-06T20:01:13.385Z: JOB_MESSAGE_BASIC: Worker pool stopped.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-06T20:01:13.403Z: JOB_MESSAGE_DEBUG: Tearing down pending resources...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-06_08_57_35-8662674459413626620 is in state JOB_STATE_CANCELLED
ERROR:apache_beam.runners.dataflow.dataflow_runner:Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2022-07-06_08_57_35-8662674459413626620?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 4m 55s
15 actionable tasks: 3 executed, 12 up-to-date
Publishing build scan...
https://gradle.com/s/nulftnlehx4ma
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 #634
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See <https://ci-beam.apache.org/job/beam_LoadTests_Python_SideInput_Dataflow_Batch/634/display/redirect>
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Collecting google-api-core[grpc,grpcgcp]!=2.0.*,!=2.1.*,!=2.2.*,!=2.3.0,<3.0.0dev,>=1.31.5
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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==2.41.0.dev0) (3.8.0)
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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-2.41.0.dev0-py3-none-any.whl size=2816565 sha256=b930f53cd684bae38e1a77a003c204be9320f255317c4f6cebc0c8581fe8185f
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-2.41.0.dev0 atomicwrites-1.4.0 attrs-21.4.0 azure-core-1.24.2 azure-storage-blob-12.12.0 boto3-1.24.22 botocore-1.27.22 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-1.5.2 fasteners-0.17.3 freezegun-1.2.1 google-api-core-1.31.6 google-apitools-0.5.31 google-auth-1.35.0 google-auth-httplib2-0.1.0 google-cloud-bigquery-2.34.4 google-cloud-bigquery-storage-2.13.2 google-cloud-bigtable-1.7.2 google-cloud-core-1.7.2 google-cloud-datastore-1.15.5 google-cloud-dlp-3.7.1 google-cloud-language-1.3.2 google-cloud-pubsub-2.13.0 google-cloud-pubsublite-1.4.2 google-cloud-recommendations-ai-0.2.0 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-1.56.3 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-3.7.6 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-4.8 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 urllib3-1.26.9 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:2.41.0.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 0x7fc778e89d40> ====================
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function sort_stages at 0x7fc778e8a560> ====================
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-9-0705100312.1657036106.083502/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-9-0705100312.1657036106.083502/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-9-0705100312.1657036106.083502/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-9-0705100312.1657036106.083502/pipeline.pb in 0 seconds.
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['shuffle_mode=appliance', '--side_input_type=iter', '--access_percentage=1', '--window_count=1000']
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['shuffle_mode=appliance', '--side_input_type=iter', '--access_percentage=1', '--window_count=1000']
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20220705154826084976-2477'
createTime: '2022-07-05T15:48:27.293515Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2022-07-05_08_48_26-11888020812791864430'
location: 'us-central1'
name: 'load-tests-python-dataflow-batch-sideinput-9-0705100312'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2022-07-05T15:48:27.293515Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_BATCH, 1)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2022-07-05_08_48_26-11888020812791864430]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2022-07-05_08_48_26-11888020812791864430
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2022-07-05_08_48_26-11888020812791864430?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-05_08_48_26-11888020812791864430 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-05T15:48:29.859Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-05T15:48:30.582Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-05T15:48:30.674Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-05T15:48:30.702Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-05T15:48:30.739Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-05T15:48:30.780Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-05T15:48:30.807Z: JOB_MESSAGE_DETAILED: Fusing consumer Get synthetic SDF options into Apply windows
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-05T15:48:30.838Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect start time metrics into Apply windows
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-05T15:48:30.869Z: JOB_MESSAGE_DETAILED: Fusing consumer Assign timestamps into Create/Read
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-05T15:48:30.902Z: JOB_MESSAGE_DETAILED: Fusing consumer Apply windows into Assign timestamps
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-05T15:48:30.935Z: JOB_MESSAGE_DETAILED: Fusing consumer Generate input into Get synthetic SDF options
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-05T15:48:30.967Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect end time metrics into ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-05T15:48:31.004Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-05T15:48:31.051Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-05T15:48:31.082Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-05T15:48:31.121Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-05T15:48:31.323Z: JOB_MESSAGE_DEBUG: Executing wait step start4
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-05T15:48:31.391Z: 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:2022-07-05T15:48:31.448Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-05T15:48:31.476Z: JOB_MESSAGE_BASIC: Starting 10 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-05_08_48_26-11888020812791864430 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-05T15:49:03.066Z: 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:2022-07-05T15:49:05.643Z: 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:2022-07-05T15:49:29.674Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-05T15:56:03.742Z: 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:2022-07-05T15:56:03.845Z: JOB_MESSAGE_DEBUG: Value "Collect start time metrics.out" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-05T15:56:03.872Z: JOB_MESSAGE_DEBUG: Value "Generate input.out" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-05T15:56:03.930Z: JOB_MESSAGE_BASIC: Executing operation ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-05T15:56:03.987Z: JOB_MESSAGE_BASIC: Finished operation ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-05T15:56:04.041Z: JOB_MESSAGE_DEBUG: Value "ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0).output" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-05T15:56:04.124Z: JOB_MESSAGE_BASIC: Executing operation ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)+Collect end time metrics
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-05T20:00:29.893Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2022-07-05_08_48_26-11888020812791864430.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-05T20:00:29.918Z: JOB_MESSAGE_BASIC: Finished operation ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)+Collect end time metrics
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-05T20:00:30.112Z: JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-05T20:00:30.285Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-05T20:00:30.313Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-05_08_48_26-11888020812791864430 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-05T20:01:04.584Z: JOB_MESSAGE_DETAILED: Autoscaling: Resized **** pool from 10 to 0.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-05T20:01:04.630Z: JOB_MESSAGE_BASIC: Worker pool stopped.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-05T20:01:04.661Z: JOB_MESSAGE_DEBUG: Tearing down pending resources...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-05_08_48_26-11888020812791864430 is in state JOB_STATE_CANCELLED
ERROR:apache_beam.runners.dataflow.dataflow_runner:Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2022-07-05_08_48_26-11888020812791864430?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 57s
15 actionable tasks: 3 executed, 12 up-to-date
Publishing build scan...
https://gradle.com/s/ei7q5khgduyps
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 #633
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_SideInput_Dataflow_Batch/633/display/redirect?page=changes>
Changes:
[noreply] Go SDK: Update memfs to parse the List() pattern as a glob, not a regexp
[noreply] Bump cloud.google.com/go/pubsub from 1.23.0 to 1.23.1 in /sdks (#22122)
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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==2.41.0.dev0) (1.16.0)
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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-2.41.0.dev0-py3-none-any.whl size=2816565 sha256=ccc89bd15c9bca1eabb787216440cdede9725f0c2f7359c4e529233404fd26ab
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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:
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Successfully installed apache-beam-2.41.0.dev0 atomicwrites-1.4.0 attrs-21.4.0 azure-core-1.24.2 azure-storage-blob-12.12.0 boto3-1.24.22 botocore-1.27.22 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-37.0.2 deprecation-2.1.0 dill-0.3.1.1 docker-5.0.3 docopt-0.6.2 execnet-1.9.0 fastavro-1.5.2 fasteners-0.17.3 freezegun-1.2.1 google-api-core-1.31.6 google-apitools-0.5.31 google-auth-1.35.0 google-auth-httplib2-0.1.0 google-cloud-bigquery-2.34.4 google-cloud-bigquery-storage-2.13.2 google-cloud-bigtable-1.7.2 google-cloud-core-1.7.2 google-cloud-datastore-1.15.5 google-cloud-dlp-3.7.1 google-cloud-language-1.3.2 google-cloud-pubsub-2.13.0 google-cloud-pubsublite-1.4.2 google-cloud-recommendations-ai-0.2.0 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-1.56.3 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-3.7.6 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-4.8 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 urllib3-1.26.9 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:2.41.0.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 0x7f8fd6091d40> ====================
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function sort_stages at 0x7f8fd6090560> ====================
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-9-0704100320.1656950183.630214/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-9-0704100320.1656950183.630214/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-9-0704100320.1656950183.630214/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-9-0704100320.1656950183.630214/pipeline.pb in 0 seconds.
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['shuffle_mode=appliance', '--side_input_type=iter', '--access_percentage=1', '--window_count=1000']
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['shuffle_mode=appliance', '--side_input_type=iter', '--access_percentage=1', '--window_count=1000']
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20220704155623631211-9332'
createTime: '2022-07-04T15:56:24.518238Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2022-07-04_08_56_24-16440059540281879581'
location: 'us-central1'
name: 'load-tests-python-dataflow-batch-sideinput-9-0704100320'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2022-07-04T15:56:24.518238Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_BATCH, 1)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2022-07-04_08_56_24-16440059540281879581]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2022-07-04_08_56_24-16440059540281879581
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2022-07-04_08_56_24-16440059540281879581?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-04_08_56_24-16440059540281879581 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-04T15:56:30.935Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-04T15:56:32.788Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-04T15:56:32.826Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-04T15:56:32.884Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-04T15:56:32.915Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-04T15:56:32.951Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-04T15:56:32.987Z: JOB_MESSAGE_DETAILED: Fusing consumer Get synthetic SDF options into Apply windows
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-04T15:56:33.010Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect start time metrics into Apply windows
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-04T15:56:33.041Z: JOB_MESSAGE_DETAILED: Fusing consumer Assign timestamps into Create/Read
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-04T15:56:33.074Z: JOB_MESSAGE_DETAILED: Fusing consumer Apply windows into Assign timestamps
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-04T15:56:33.107Z: JOB_MESSAGE_DETAILED: Fusing consumer Generate input into Get synthetic SDF options
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-04T15:56:33.139Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect end time metrics into ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-04T15:56:33.182Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-04T15:56:33.218Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-04T15:56:33.253Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-04T15:56:33.290Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-04T15:56:33.429Z: JOB_MESSAGE_DEBUG: Executing wait step start4
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-04T15:56:33.527Z: 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:2022-07-04T15:56:33.569Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-04T15:56:33.592Z: JOB_MESSAGE_BASIC: Starting 10 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-04_08_56_24-16440059540281879581 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-04T15:56:44.280Z: 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:2022-07-04T15:57:10.409Z: 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:2022-07-04T15:57:36.393Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-04T16:04:13.495Z: 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:2022-07-04T16:04:13.642Z: JOB_MESSAGE_DEBUG: Value "Collect start time metrics.out" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-04T16:04:13.676Z: JOB_MESSAGE_DEBUG: Value "Generate input.out" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-04T16:04:13.733Z: JOB_MESSAGE_BASIC: Executing operation ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-04T16:04:13.791Z: JOB_MESSAGE_BASIC: Finished operation ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-04T16:04:13.858Z: JOB_MESSAGE_DEBUG: Value "ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0).output" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-04T16:04:13.913Z: JOB_MESSAGE_BASIC: Executing operation ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)+Collect end time metrics
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-04T20:00:43.426Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2022-07-04_08_56_24-16440059540281879581.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-04T20:00:43.462Z: JOB_MESSAGE_BASIC: Finished operation ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)+Collect end time metrics
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-04T20:00:43.625Z: JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-04T20:00:43.673Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-04T20:00:43.700Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-04_08_56_24-16440059540281879581 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-04T20:01:24.622Z: JOB_MESSAGE_DETAILED: Autoscaling: Resized **** pool from 10 to 0.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-04T20:01:24.660Z: JOB_MESSAGE_BASIC: Worker pool stopped.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-04T20:01:24.688Z: JOB_MESSAGE_DEBUG: Tearing down pending resources...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-04_08_56_24-16440059540281879581 is in state JOB_STATE_CANCELLED
ERROR:apache_beam.runners.dataflow.dataflow_runner:Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2022-07-04_08_56_24-16440059540281879581?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 6m 18s
15 actionable tasks: 3 executed, 12 up-to-date
Publishing build scan...
https://gradle.com/s/zfkgzd3pznop2
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/632/display/redirect?page=changes>
Changes:
[noreply] Sharding IO tests(amazon web services and amazon web services 2) from
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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 0x7f1c8642fd40> ====================
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function sort_stages at 0x7f1c86430560> ====================
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-9-0703100312.1656863700.977632/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-9-0703100312.1656863700.977632/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-9-0703100312.1656863700.977632/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-9-0703100312.1656863700.977632/pipeline.pb in 0 seconds.
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['shuffle_mode=appliance', '--side_input_type=iter', '--access_percentage=1', '--window_count=1000']
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['shuffle_mode=appliance', '--side_input_type=iter', '--access_percentage=1', '--window_count=1000']
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20220703155500978808-4052'
createTime: '2022-07-03T15:55:02.724406Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2022-07-03_08_55_01-2760909510760721670'
location: 'us-central1'
name: 'load-tests-python-dataflow-batch-sideinput-9-0703100312'
projectId: 'apache-beam-testing'
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startTime: '2022-07-03T15:55:02.724406Z'
steps: []
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INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2022-07-03_08_55_01-2760909510760721670]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2022-07-03_08_55_01-2760909510760721670
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2022-07-03_08_55_01-2760909510760721670?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-03_08_55_01-2760909510760721670 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-03T15:55:04.610Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-03T15:55:05.691Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-03T15:55:05.722Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-03T15:55:05.751Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-03T15:55:05.771Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-03T15:55:05.803Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-03T15:55:05.829Z: JOB_MESSAGE_DETAILED: Fusing consumer Get synthetic SDF options into Apply windows
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-03T15:55:05.857Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect start time metrics into Apply windows
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-03T15:55:05.882Z: JOB_MESSAGE_DETAILED: Fusing consumer Assign timestamps into Create/Read
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-03T15:55:05.914Z: JOB_MESSAGE_DETAILED: Fusing consumer Apply windows into Assign timestamps
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-03T15:55:05.960Z: JOB_MESSAGE_DETAILED: Fusing consumer Generate input into Get synthetic SDF options
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-03T15:55:05.983Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect end time metrics into ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-03T15:55:06.041Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-03T15:55:06.070Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-03T15:55:06.138Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-03T15:55:06.160Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-03T15:55:06.273Z: JOB_MESSAGE_DEBUG: Executing wait step start4
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-03T15:55:06.331Z: 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:2022-07-03T15:55:06.379Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-03T15:55:06.404Z: JOB_MESSAGE_BASIC: Starting 10 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-03_08_55_01-2760909510760721670 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-03T15:55:17.567Z: 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:2022-07-03T15:55:40.454Z: 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:2022-07-03T16:02:34.871Z: 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:2022-07-03T16:02:35.006Z: JOB_MESSAGE_DEBUG: Value "Collect start time metrics.out" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-03T16:02:35.031Z: JOB_MESSAGE_DEBUG: Value "Generate input.out" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-03T16:02:35.094Z: JOB_MESSAGE_BASIC: Executing operation ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-03T16:02:35.157Z: JOB_MESSAGE_BASIC: Finished operation ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0)
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INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-03T16:02:35.307Z: JOB_MESSAGE_BASIC: Executing operation ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)+Collect end time metrics
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-03T20:00:39.407Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2022-07-03_08_55_01-2760909510760721670.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-03T20:00:39.439Z: JOB_MESSAGE_BASIC: Finished operation ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)+Collect end time metrics
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-03T20:00:39.595Z: JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-03T20:00:39.696Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-03T20:00:39.713Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-03_08_55_01-2760909510760721670 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-03T20:01:16.025Z: JOB_MESSAGE_DETAILED: Autoscaling: Resized **** pool from 10 to 0.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-03T20:01:16.067Z: JOB_MESSAGE_BASIC: Worker pool stopped.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-03T20:01:16.100Z: JOB_MESSAGE_DEBUG: Tearing down pending resources...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-03_08_55_01-2760909510760721670 is in state JOB_STATE_CANCELLED
ERROR:apache_beam.runners.dataflow.dataflow_runner:Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2022-07-03_08_55_01-2760909510760721670?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 7m 40s
15 actionable tasks: 3 executed, 12 up-to-date
Publishing build scan...
https://gradle.com/s/w7oqkz64zxmxu
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 #631
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_SideInput_Dataflow_Batch/631/display/redirect?page=changes>
Changes:
[noreply] Python: Use RowTypeConstraint for normalizing all schema-inferrable user
[noreply] changing nameBase value to Java_GCP_IO_Direct (#22128)
[noreply] Bump dataflow fnapi java sdk version (#22127)
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Successfully installed apache-beam-2.41.0.dev0 atomicwrites-1.4.0 attrs-21.4.0 azure-core-1.24.2 azure-storage-blob-12.12.0 boto3-1.24.22 botocore-1.27.22 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-37.0.2 deprecation-2.1.0 dill-0.3.1.1 docker-5.0.3 docopt-0.6.2 execnet-1.9.0 fastavro-1.5.2 fasteners-0.17.3 freezegun-1.2.1 google-api-core-1.31.6 google-apitools-0.5.31 google-auth-1.35.0 google-auth-httplib2-0.1.0 google-cloud-bigquery-2.34.4 google-cloud-bigquery-storage-2.13.2 google-cloud-bigtable-1.7.2 google-cloud-core-1.7.2 google-cloud-datastore-1.15.5 google-cloud-dlp-3.7.1 google-cloud-language-1.3.2 google-cloud-pubsub-2.13.0 google-cloud-pubsublite-1.4.2 google-cloud-recommendations-ai-0.2.0 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-1.56.3 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-3.7.5 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-4.8 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 urllib3-1.26.9 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:2.41.0.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 0x7f99fe98dd40> ====================
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function sort_stages at 0x7f99fe98e560> ====================
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-9-0702100319.1656776989.185877/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-9-0702100319.1656776989.185877/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-9-0702100319.1656776989.185877/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-9-0702100319.1656776989.185877/pipeline.pb in 0 seconds.
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['shuffle_mode=appliance', '--side_input_type=iter', '--access_percentage=1', '--window_count=1000']
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['shuffle_mode=appliance', '--side_input_type=iter', '--access_percentage=1', '--window_count=1000']
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20220702154949186945-1311'
createTime: '2022-07-02T15:49:50.130408Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2022-07-02_08_49_49-1012254045740259336'
location: 'us-central1'
name: 'load-tests-python-dataflow-batch-sideinput-9-0702100319'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2022-07-02T15:49:50.130408Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_BATCH, 1)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2022-07-02_08_49_49-1012254045740259336]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2022-07-02_08_49_49-1012254045740259336
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2022-07-02_08_49_49-1012254045740259336?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-02_08_49_49-1012254045740259336 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-02T15:49:54.277Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-02T15:49:55.877Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-02T15:49:55.909Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-02T15:49:55.931Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-02T15:49:55.987Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-02T15:49:56.034Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-02T15:49:56.060Z: JOB_MESSAGE_DETAILED: Fusing consumer Get synthetic SDF options into Apply windows
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-02T15:49:56.095Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect start time metrics into Apply windows
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-02T15:49:56.123Z: JOB_MESSAGE_DETAILED: Fusing consumer Assign timestamps into Create/Read
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-02T15:49:56.149Z: JOB_MESSAGE_DETAILED: Fusing consumer Apply windows into Assign timestamps
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-02T15:49:56.176Z: JOB_MESSAGE_DETAILED: Fusing consumer Generate input into Get synthetic SDF options
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-02T15:49:56.200Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect end time metrics into ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-02T15:49:56.225Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-02T15:49:56.256Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-02T15:49:56.294Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-02T15:49:56.330Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-02T15:49:56.482Z: JOB_MESSAGE_DEBUG: Executing wait step start4
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-02T15:49:56.556Z: 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:2022-07-02T15:49:56.618Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-02T15:49:56.642Z: JOB_MESSAGE_BASIC: Starting 10 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-02_08_49_49-1012254045740259336 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-02T15:50:31.938Z: 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:2022-07-02T15:50:32.457Z: 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:2022-07-02T15:50:57.182Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-02T15:56:55.554Z: 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:2022-07-02T15:56:55.637Z: JOB_MESSAGE_DEBUG: Value "Collect start time metrics.out" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-02T15:56:55.671Z: JOB_MESSAGE_DEBUG: Value "Generate input.out" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-02T15:56:55.764Z: JOB_MESSAGE_BASIC: Executing operation ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-02T15:56:55.814Z: JOB_MESSAGE_BASIC: Finished operation ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-02T15:56:55.878Z: JOB_MESSAGE_DEBUG: Value "ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0).output" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-02T15:56:55.941Z: JOB_MESSAGE_BASIC: Executing operation ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)+Collect end time metrics
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-02T20:00:48.561Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2022-07-02_08_49_49-1012254045740259336.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-02T20:00:48.588Z: JOB_MESSAGE_BASIC: Finished operation ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)+Collect end time metrics
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-02T20:00:48.754Z: JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-02T20:00:48.858Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-02T20:00:48.882Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-02_08_49_49-1012254045740259336 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-02T20:01:24.407Z: JOB_MESSAGE_DETAILED: Autoscaling: Resized **** pool from 10 to 0.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-02T20:01:24.439Z: JOB_MESSAGE_BASIC: Worker pool stopped.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-02T20:01:24.461Z: JOB_MESSAGE_DEBUG: Tearing down pending resources...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-02_08_49_49-1012254045740259336 is in state JOB_STATE_CANCELLED
ERROR:apache_beam.runners.dataflow.dataflow_runner:Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2022-07-02_08_49_49-1012254045740259336?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 12m 49s
15 actionable tasks: 3 executed, 12 up-to-date
Publishing build scan...
https://gradle.com/s/kt6cnvwifamtq
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 #630
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_SideInput_Dataflow_Batch/630/display/redirect?page=changes>
Changes:
[alexey.inkin] Do not re-create PlaygroundState (#21950)
[Moritz Mack] Deprecate runner support for Spark 2.4 (closes #22094)
[noreply] [BEAM-14187] Fix NPE at initializeForKeyedRead in IsmReaderImpl (#22111)
[noreply] Remove unused legacy dataflow translate code (#22019)
[noreply] Fixes #21698: Use normal Container snapshots for Go Load Tests (#22102)
[noreply] Change default, options, and explanation for issue priority (#22116)
[noreply] Minor: Bump flake8 to 4.0.1 (#22110)
[noreply] Add sdk_harness_log_level_overrides option for python sdk (#22077)
[noreply] Fix typo in Pytorch Bert Language Modeling (#22114)
[noreply] Fix #21977: Add Search transform to Go FhirIO (#21979)
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Building wheels for collected packages: apache-beam
Building wheel for apache-beam (setup.py): started
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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 0x7f731abdd710> ====================
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function sort_stages at 0x7f731abddef0> ====================
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-9-0701100315.1656690918.791341/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-9-0701100315.1656690918.791341/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-9-0701100315.1656690918.791341/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-9-0701100315.1656690918.791341/pipeline.pb in 0 seconds.
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['shuffle_mode=appliance', '--side_input_type=iter', '--access_percentage=1', '--window_count=1000']
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['shuffle_mode=appliance', '--side_input_type=iter', '--access_percentage=1', '--window_count=1000']
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20220701155518792276-2407'
createTime: '2022-07-01T15:55:19.770320Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2022-07-01_08_55_19-13624338145672477993'
location: 'us-central1'
name: 'load-tests-python-dataflow-batch-sideinput-9-0701100315'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2022-07-01T15:55:19.770320Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_BATCH, 1)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2022-07-01_08_55_19-13624338145672477993]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2022-07-01_08_55_19-13624338145672477993
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2022-07-01_08_55_19-13624338145672477993?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-01_08_55_19-13624338145672477993 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-01T15:55:22.939Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-01T15:55:24.283Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-01T15:55:24.330Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-01T15:55:24.401Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-01T15:55:24.433Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-01T15:55:24.479Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-01T15:55:24.527Z: JOB_MESSAGE_DETAILED: Fusing consumer Get synthetic SDF options into Apply windows
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-01T15:55:24.563Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect start time metrics into Apply windows
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-01T15:55:24.629Z: JOB_MESSAGE_DETAILED: Fusing consumer Assign timestamps into Create/Read
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-01T15:55:24.661Z: JOB_MESSAGE_DETAILED: Fusing consumer Apply windows into Assign timestamps
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-01T15:55:24.693Z: JOB_MESSAGE_DETAILED: Fusing consumer Generate input into Get synthetic SDF options
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-01T15:55:24.728Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect end time metrics into ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-01T15:55:24.769Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-01T15:55:24.800Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-01T15:55:24.837Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-01T15:55:24.905Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-01_08_55_19-13624338145672477993 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-01T15:55:25.065Z: JOB_MESSAGE_DEBUG: Executing wait step start4
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-01T15:55:25.164Z: 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:2022-07-01T15:55:25.218Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-01T15:55:25.247Z: JOB_MESSAGE_BASIC: Starting 10 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-01T15:55:54.671Z: 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:2022-07-01T15:56:02.153Z: 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:2022-07-01T15:56:27.686Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-01T16:03:07.708Z: 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:2022-07-01T16:03:07.804Z: JOB_MESSAGE_DEBUG: Value "Collect start time metrics.out" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-01T16:03:07.836Z: JOB_MESSAGE_DEBUG: Value "Generate input.out" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-01T16:03:07.923Z: JOB_MESSAGE_BASIC: Executing operation ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-01T16:03:07.976Z: JOB_MESSAGE_BASIC: Finished operation ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-01T16:03:08.040Z: JOB_MESSAGE_DEBUG: Value "ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0).output" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-01T16:03:08.105Z: JOB_MESSAGE_BASIC: Executing operation ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)+Collect end time metrics
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-07-01_08_55_19-13624338145672477993 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-01T20:00:38.245Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2022-07-01_08_55_19-13624338145672477993.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-01T20:00:38.271Z: JOB_MESSAGE_BASIC: Finished operation ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)+Collect end time metrics
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-01T20:00:38.458Z: JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-01T20:00:38.560Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-01T20:00:38.585Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-01T20:01:20.781Z: JOB_MESSAGE_DETAILED: Autoscaling: Resized **** pool from 10 to 0.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-01T20:01:20.830Z: JOB_MESSAGE_BASIC: Worker pool stopped.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-07-01T20:01:20.857Z: JOB_MESSAGE_DEBUG: Tearing down pending resources...
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 1665, in wait_until_finish
'{}'.format(consoleUrl))
AssertionError: Job did not reach to a terminal state after waiting indefinitely. Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2022-07-01_08_55_19-13624338145672477993?project=<ProjectId>
> Task :sdks:python:apache_beam:testing:load_tests:run FAILED
FAILURE: Build failed with an exception.
* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_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 7m 25s
15 actionable tasks: 3 executed, 12 up-to-date
Publishing build scan...
https://gradle.com/s/h7hv33kkai44y
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 #629
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_SideInput_Dataflow_Batch/629/display/redirect?page=changes>
Changes:
[alexey.inkin] Add an abstract layer for analytics, fix logging change of snippet, fix
[damondouglas] Implement PubsubSchemaTransformMessageToFactory
[bulat.safiullin] [Website] add scroll-spy to body in case-studies/baseof.html
[noreply] Update issue bot to javascript and add label management (#22067)
[noreply] Clean up issue management doc page
[noreply] [BEAM-13015, #21250, fixes #22053] Improve PCollectionConsumerRegistry
[noreply] sharding GCP IO tests from the javaPostCommit task (#21800)
[noreply] Bump cloud.google.com/go/storage from 1.22.1 to 1.23.0 in /sdks (#22038)
[noreply] Followup sharding javaPostCommit (#22081)
[noreply] remove mention of dill in release notes as it's not relevant. (#22087)
[noreply] [#21634] Add comments on FieldValueGetter. (#21982)
[noreply] Bump google.golang.org/api from 0.85.0 to 0.86.0 in /sdks (#22092)
[noreply] [BEAM-6597] Replace ProgressRequestCallback with BundleProgressReporter
[noreply] [Go SDK] Go Lint fixes (#21967)
[noreply] Fix #21869: Close GRPC connections on cancel (#21874)
[noreply] Add FlatMap(<builtin>) known issue to 2.40.0 blog (#22101)
[noreply] [BEAM-14347] Update docs to prefer generic registration functions
[Andrew Pilloud] Projection Pushdown optimizer on by default
[noreply] Merge pull request #21752 from Feature/beam 13852 reimplement with
[noreply] Change wording of Pytorch LM example (#22099)
[noreply] Fix missing model_params in Pytorch docstring (#22100)
[noreply] Test and fix FlatMap(<builtin>) issue (#22104)
[noreply] Fix InputStream on platform with 4 bytie long (#22107)
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Building wheels for collected packages: apache-beam
Building wheel for apache-beam (setup.py): started
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Attempting uninstall: pluggy
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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 0x7f52057f4d40> ====================
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function sort_stages at 0x7f52057f5560> ====================
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-9-0630100321.1656604653.594781/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-9-0630100321.1656604653.594781/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-9-0630100321.1656604653.594781/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-9-0630100321.1656604653.594781/pipeline.pb in 0 seconds.
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['shuffle_mode=appliance', '--side_input_type=iter', '--access_percentage=1', '--window_count=1000']
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['shuffle_mode=appliance', '--side_input_type=iter', '--access_percentage=1', '--window_count=1000']
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20220630155733596190-9285'
createTime: '2022-06-30T15:57:34.552838Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2022-06-30_08_57_34-4220518907167482285'
location: 'us-central1'
name: 'load-tests-python-dataflow-batch-sideinput-9-0630100321'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2022-06-30T15:57:34.552838Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_BATCH, 1)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2022-06-30_08_57_34-4220518907167482285]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2022-06-30_08_57_34-4220518907167482285
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2022-06-30_08_57_34-4220518907167482285?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-06-30_08_57_34-4220518907167482285 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-06-30T15:57:40.017Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-06-30T15:57:41.185Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-06-30T15:57:41.234Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-06-30T15:57:41.251Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-06-30T15:57:41.284Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-06-30T15:57:41.313Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-06-30T15:57:41.374Z: JOB_MESSAGE_DETAILED: Fusing consumer Get synthetic SDF options into Apply windows
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-06-30T15:57:41.405Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect start time metrics into Apply windows
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-06-30T15:57:41.434Z: JOB_MESSAGE_DETAILED: Fusing consumer Assign timestamps into Create/Read
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-06-30T15:57:41.455Z: JOB_MESSAGE_DETAILED: Fusing consumer Apply windows into Assign timestamps
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-06-30T15:57:41.488Z: JOB_MESSAGE_DETAILED: Fusing consumer Generate input into Get synthetic SDF options
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-06-30T15:57:41.549Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect end time metrics into ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-06-30T15:57:41.586Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-06-30T15:57:41.675Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-06-30T15:57:41.712Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-06-30T15:57:41.744Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-06-30T15:57:41.903Z: JOB_MESSAGE_DEBUG: Executing wait step start4
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-06-30T15:57:42.003Z: 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:2022-06-30T15:57:42.042Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-06-30T15:57:42.071Z: JOB_MESSAGE_BASIC: Starting 10 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-06-30_08_57_34-4220518907167482285 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-06-30T15:58:04.909Z: 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:2022-06-30T15:58:16.973Z: 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:2022-06-30T15:58:42.657Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-06-30T16:05:06.738Z: 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:2022-06-30T16:05:06.861Z: JOB_MESSAGE_DEBUG: Value "Collect start time metrics.out" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-06-30T16:05:06.901Z: JOB_MESSAGE_DEBUG: Value "Generate input.out" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-06-30T16:05:06.960Z: JOB_MESSAGE_BASIC: Executing operation ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-06-30T16:05:07.019Z: JOB_MESSAGE_BASIC: Finished operation ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-06-30T16:05:07.105Z: JOB_MESSAGE_DEBUG: Value "ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0).output" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-06-30T16:05:07.163Z: JOB_MESSAGE_BASIC: Executing operation ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)+Collect end time metrics
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-06-30T20:00:47.115Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2022-06-30_08_57_34-4220518907167482285.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-06-30T20:00:47.270Z: JOB_MESSAGE_BASIC: Finished operation ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)+Collect end time metrics
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-06-30T20:00:47.574Z: JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-06-30T20:00:47.684Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-06-30T20:00:47.704Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-06-30_08_57_34-4220518907167482285 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-06-30T20:01:32.168Z: JOB_MESSAGE_DETAILED: Autoscaling: Resized **** pool from 10 to 0.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-06-30T20:01:32.571Z: JOB_MESSAGE_BASIC: Worker pool stopped.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-06-30T20:01:32.629Z: JOB_MESSAGE_DEBUG: Tearing down pending resources...
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 1665, in wait_until_finish
'{}'.format(consoleUrl))
AssertionError: Job did not reach to a terminal state after waiting indefinitely. Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2022-06-30_08_57_34-4220518907167482285?project=<ProjectId>
> Task :sdks:python:apache_beam:testing:load_tests:run FAILED
FAILURE: Build failed with an exception.
* Where:
Build file '<https://ci-beam.apache.org/job/beam_LoadTests_Python_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 5m 23s
15 actionable tasks: 3 executed, 12 up-to-date
Publishing build scan...
https://gradle.com/s/dkpdzsoiecrsc
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 #628
Posted by Apache Jenkins Server <je...@builds.apache.org>.
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_SideInput_Dataflow_Batch/628/display/redirect?page=changes>
Changes:
[Pablo Estrada] Blog post and updates for release 2.40.0
[noreply] 22011 remove checks on client.close() except when
[noreply] update flutter version to 3.0.1-stable (#22062)
[noreply] Add randomness to integration test job names to avoid collisions
[noreply] Give @pcoet triage permission (#22068)
[noreply] Issue#20877 Updated Interactive Beam README (#22034)
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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 0x7f79240f9b00> ====================
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function sort_stages at 0x7f79240fa320> ====================
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-9-0628100435.1656431306.388368/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-9-0628100435.1656431306.388368/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-9-0628100435.1656431306.388368/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-9-0628100435.1656431306.388368/pipeline.pb in 0 seconds.
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['shuffle_mode=appliance', '--side_input_type=iter', '--access_percentage=1', '--window_count=1000']
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['shuffle_mode=appliance', '--side_input_type=iter', '--access_percentage=1', '--window_count=1000']
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20220628154826389295-3884'
createTime: '2022-06-28T15:48:27.405561Z'
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id: '2022-06-28_08_48_26-10233189913373466660'
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name: 'load-tests-python-dataflow-batch-sideinput-9-0628100435'
projectId: 'apache-beam-testing'
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INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2022-06-28_08_48_26-10233189913373466660]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2022-06-28_08_48_26-10233189913373466660
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2022-06-28_08_48_26-10233189913373466660?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-06-28_08_48_26-10233189913373466660 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-06-28T15:48:30.895Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-06-28T15:48:31.746Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-06-28T15:48:31.796Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-06-28T15:48:31.822Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-06-28T15:48:31.854Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-06-28T15:48:31.893Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-06-28T15:48:31.911Z: JOB_MESSAGE_DETAILED: Fusing consumer Get synthetic SDF options into Apply windows
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-06-28T15:48:31.970Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect start time metrics into Apply windows
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-06-28T15:48:32.002Z: JOB_MESSAGE_DETAILED: Fusing consumer Assign timestamps into Create/Read
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-06-28T15:48:32.067Z: JOB_MESSAGE_DETAILED: Fusing consumer Apply windows into Assign timestamps
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-06-28T15:48:32.090Z: JOB_MESSAGE_DETAILED: Fusing consumer Generate input into Get synthetic SDF options
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-06-28T15:48:32.112Z: JOB_MESSAGE_DETAILED: Fusing consumer Collect end time metrics into ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-06-28T15:48:32.143Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-06-28T15:48:32.176Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-06-28T15:48:32.210Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-06-28T15:48:32.259Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-06-28T15:48:32.431Z: JOB_MESSAGE_DEBUG: Executing wait step start4
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-06-28T15:48:32.485Z: 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:Job 2022-06-28_08_48_26-10233189913373466660 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-06-28T15:48:32.532Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-06-28T15:48:32.593Z: JOB_MESSAGE_BASIC: Starting 10 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-06-28T15:48:53.184Z: 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:2022-06-28T15:49:08.898Z: 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:2022-06-28T15:49:34.858Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-06-28T15:55:46.612Z: 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:2022-06-28T15:55:46.766Z: JOB_MESSAGE_DEBUG: Value "Collect start time metrics.out" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-06-28T15:55:46.794Z: JOB_MESSAGE_DEBUG: Value "Generate input.out" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-06-28T15:55:46.858Z: JOB_MESSAGE_BASIC: Executing operation ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-06-28T15:55:46.914Z: JOB_MESSAGE_BASIC: Finished operation ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-06-28T15:55:46.972Z: JOB_MESSAGE_DEBUG: Value "ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0).output" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-06-28T15:55:47.037Z: JOB_MESSAGE_BASIC: Executing operation ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)+Collect end time metrics
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-06-28T20:00:46.775Z: JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 2022-06-28_08_48_26-10233189913373466660.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-06-28T20:00:46.801Z: JOB_MESSAGE_BASIC: Finished operation ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)+Collect end time metrics
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-06-28T20:00:46.969Z: JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-06-28T20:00:47.215Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-06-28T20:00:47.233Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-06-28_08_48_26-10233189913373466660 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-06-28T20:01:32.023Z: JOB_MESSAGE_DETAILED: Autoscaling: Resized **** pool from 10 to 0.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-06-28T20:01:32.064Z: JOB_MESSAGE_BASIC: Worker pool stopped.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-06-28T20:01:32.086Z: JOB_MESSAGE_DEBUG: Tearing down pending resources...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-06-28_08_48_26-10233189913373466660 is in state JOB_STATE_CANCELLED
ERROR:apache_beam.runners.dataflow.dataflow_runner:Console URL: https://console.cloud.google.com/dataflow/jobs/<RegionId>/2022-06-28_08_48_26-10233189913373466660?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 14m 20s
15 actionable tasks: 3 executed, 12 up-to-date
Publishing build scan...
https://gradle.com/s/4ldbcfc6z3wko
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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