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Posted to builds@beam.apache.org by Apache Jenkins Server <je...@builds.apache.org> on 2022/10/05 14:50:46 UTC

Build failed in Jenkins: beam_LoadTests_Python_GBK_reiterate_Dataflow_Batch #1207

See <https://ci-beam.apache.org/job/beam_LoadTests_Python_GBK_reiterate_Dataflow_Batch/1207/display/redirect?page=changes>

Changes:

[ningkang0957] Prep sidepanel 3.0.0 release

[noreply] Documented supported PyTorch versions (#22974)

[noreply] [Go SDK] Add fake impulse for inputs in Xlang Transform (#23383)

[noreply] Write permissions for issue closer/assigner

[noreply] GA Migration Adding Removal of /.m2/settings.xml (#23481)

[noreply] Bump google-cloud-spanner version for py containers (#23480)

[Moritz Mack] Ensure Java JMH benchmark tasks run sequentially to prevent failure when

[Moritz Mack] Fix validation of measurement name in InfluxDBPublisher (addresses

[noreply] group_id (#23445)

[noreply] Give issue tagger permission to write issues (#23485)

[noreply] Update UID (#23486)

[noreply] Improve error message in GcsUtil (#23482)


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Building wheels for collected packages: apache-beam
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Successfully installed apache-beam-2.43.0.dev0 attrs-22.1.0 azure-core-1.25.1 azure-storage-blob-12.13.1 boto3-1.24.86 botocore-1.27.86 cachetools-4.2.4 certifi-2022.9.24 cffi-1.15.1 charset-normalizer-2.1.1 cloudpickle-2.2.0 crcmod-1.7 cryptography-38.0.1 deprecation-2.1.0 dill-0.3.1.1 docker-6.0.0 docopt-0.6.2 execnet-1.9.0 fastavro-1.6.1 fasteners-0.18 freezegun-1.2.2 google-api-core-2.10.1 google-apitools-0.5.31 google-auth-2.12.0 google-auth-httplib2-0.1.0 google-cloud-bigquery-3.3.3 google-cloud-bigquery-storage-2.13.2 google-cloud-bigtable-1.7.2 google-cloud-core-2.3.2 google-cloud-datastore-1.15.5 google-cloud-dlp-3.9.1 google-cloud-language-1.3.2 google-cloud-pubsub-2.13.7 google-cloud-pubsublite-1.5.0 google-cloud-recommendations-ai-0.7.1 google-cloud-spanner-3.22.1 google-cloud-videointelligence-1.16.3 google-cloud-vision-1.0.2 google-crc32c-1.5.0 google-resumable-media-2.4.0 googleapis-common-protos-1.56.4 greenlet-1.1.3 grpc-google-iam-v1-0.12.4 grpcio-status-1.48.2 hdfs-2.7.0 httplib2-0.20.4 idna-3.4 iniconfig-1.1.1 isodate-0.6.1 jmespath-1.0.1 joblib-1.2.0 mock-2.0.0 msrest-0.7.1 oauth2client-4.1.3 oauthlib-3.2.1 objsize-0.5.2 orjson-3.8.0 overrides-6.2.0 pandas-1.3.5 parameterized-0.8.1 pbr-5.10.0 proto-plus-1.22.1 psycopg2-binary-2.9.3 pyarrow-9.0.0 pyasn1-0.4.8 pyasn1-modules-0.2.8 pycparser-2.21 pydot-1.4.2 pyhamcrest-1.10.1 pymongo-3.12.3 pymysql-1.0.2 pytest-7.1.3 pytest-forked-1.4.0 pytest-timeout-2.1.0 pytest-xdist-2.5.0 python-dateutil-2.8.2 pytz-2022.4 pyyaml-6.0 regex-2022.9.13 requests-2.28.1 requests-oauthlib-1.3.1 requests_mock-1.10.0 rsa-4.9 s3transfer-0.6.0 scikit-learn-1.0.2 scipy-1.7.3 sqlalchemy-1.4.41 sqlparse-0.4.3 tenacity-5.1.5 testcontainers-3.7.0 threadpoolctl-3.1.0 tomli-2.0.1 typing-extensions-4.3.0 urllib3-1.26.12 websocket-client-1.4.1 wrapt-1.14.1 zstandard-0.18.0

> Task :sdks:python:apache_beam:testing:load_tests:run
INFO:apache_beam.runners.portability.stager:Copying Beam SDK "<https://ci-beam.apache.org/job/beam_LoadTests_Python_GBK_reiterate_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:2.43.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/python37:beam-master-20220914
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/python37:beam-master-20220914" for Docker environment
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function pack_combiners at 0x7f23a8160560> ====================
INFO:apache_beam.runners.portability.fn_api_runner.translations:==================== <function sort_stages at 0x7f23a8160d40> ====================
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-gbk-6-1005125440.1664980900.795897/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-gbk-6-1005125440.1664980900.795897/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-gbk-6-1005125440.1664980900.795897/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-gbk-6-1005125440.1664980900.795897/pipeline.pb in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
 clientRequestId: '20221005144140796919-1961'
 createTime: '2022-10-05T14:41:42.001776Z'
 currentStateTime: '1970-01-01T00:00:00Z'
 id: '2022-10-05_07_41_41-18030566251976078426'
 location: 'us-central1'
 name: 'load-tests-python-dataflow-batch-gbk-6-1005125440'
 projectId: 'apache-beam-testing'
 stageStates: []
 startTime: '2022-10-05T14:41:42.001776Z'
 steps: []
 tempFiles: []
 type: TypeValueValuesEnum(JOB_TYPE_BATCH, 1)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2022-10-05_07_41_41-18030566251976078426]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2022-10-05_07_41_41-18030566251976078426
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2022-10-05_07_41_41-18030566251976078426?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-10-05_07_41_41-18030566251976078426 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-05T14:41:41.568Z: JOB_MESSAGE_BASIC: Dataflow Runner V2 auto-enabled. Use --experiments=disable_runner_v2 to opt out.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-05T14:41:44.635Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-05T14:41:45.915Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-05T14:41:45.942Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-05T14:41:46.011Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-05T14:41:46.049Z: JOB_MESSAGE_DEBUG: Combiner lifting skipped for step GroupByKey 0: GroupByKey not followed by a combiner.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-05T14:41:46.080Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-05T14:41:46.118Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-05T14:41:46.166Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-05T14:41:46.192Z: JOB_MESSAGE_DETAILED: Fusing consumer Read/Map(<lambda at iobase.py:908>) into Read/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-05T14:41:46.223Z: JOB_MESSAGE_DETAILED: Fusing consumer ref_AppliedPTransform_Read-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction into Read/Map(<lambda at iobase.py:908>)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-05T14:41:46.250Z: JOB_MESSAGE_DETAILED: Fusing consumer ref_AppliedPTransform_Read-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/SplitWithSizing into ref_AppliedPTransform_Read-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-05T14:41:46.278Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure time: Start into ref_AppliedPTransform_Read-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/ProcessElementAndRestrictionWithSizing
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-05T14:41:46.310Z: JOB_MESSAGE_DETAILED: Fusing consumer Assign timestamps into Measure time: Start
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-05T14:41:46.346Z: JOB_MESSAGE_DETAILED: Fusing consumer GroupByKey 0/Write into Assign timestamps
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-05T14:41:46.374Z: JOB_MESSAGE_DETAILED: Fusing consumer Ungroup 0 into GroupByKey 0/Read
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-05T14:41:46.411Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure latency 0 into Ungroup 0
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-05T14:41:46.432Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure time: End 0 into Measure latency 0
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-05T14:41:46.471Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-05T14:41:46.506Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-05T14:41:46.538Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-05T14:41:46.572Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-05T14:41:46.718Z: JOB_MESSAGE_DEBUG: Executing wait step start16
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-05T14:41:46.775Z: JOB_MESSAGE_BASIC: Executing operation Read/Impulse+Read/Map(<lambda at iobase.py:908>)+ref_AppliedPTransform_Read-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction+ref_AppliedPTransform_Read-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/SplitWithSizing
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-05T14:41:46.819Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-05T14:41:46.845Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-10-05_07_41_41-18030566251976078426 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-05T14:42:19.208Z: 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:2022-10-05T14:42:28.912Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 based on the rate of progress in the currently running stage(s).
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-05T14:42:56.141Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-05T14:49:58.201Z: JOB_MESSAGE_BASIC: Finished operation Read/Impulse+Read/Map(<lambda at iobase.py:908>)+ref_AppliedPTransform_Read-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction+ref_AppliedPTransform_Read-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/SplitWithSizing
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-05T14:49:58.274Z: JOB_MESSAGE_DEBUG: Value "ref_AppliedPTransform_Read-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6-split-with-sizing-out3" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-05T14:49:58.345Z: JOB_MESSAGE_BASIC: Executing operation GroupByKey 0/Create
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-05T14:49:59.746Z: JOB_MESSAGE_BASIC: Finished operation GroupByKey 0/Create
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-05T14:49:59.817Z: JOB_MESSAGE_DEBUG: Value "GroupByKey 0/Session" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-05T14:49:59.881Z: JOB_MESSAGE_BASIC: Executing operation ref_AppliedPTransform_Read-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/ProcessElementAndRestrictionWithSizing+Measure time: Start+Assign timestamps+GroupByKey 0/Write
Terminated

The message received from the daemon indicates that the daemon has disappeared.
Build request sent: Build{id=e2871e7a-ce28-4b2f-99cc-6fd08106f4a3, currentDir=<https://ci-beam.apache.org/job/beam_LoadTests_Python_GBK_reiterate_Dataflow_Batch/ws/src}>
Attempting to read last messages from the daemon log...
Daemon pid: 2944688
  log file: /home/jenkins/.gradle/daemon/7.5.1/daemon-2944688.out.log
----- Last  20 lines from daemon log file - daemon-2944688.out.log -----
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-05T14:41:46.471Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-05T14:41:46.506Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-05T14:41:46.538Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-05T14:41:46.572Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-05T14:41:46.718Z: JOB_MESSAGE_DEBUG: Executing wait step start16
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-05T14:41:46.775Z: JOB_MESSAGE_BASIC: Executing operation Read/Impulse+Read/Map(<lambda at iobase.py:908>)+ref_AppliedPTransform_Read-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction+ref_AppliedPTransform_Read-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/SplitWithSizing
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-05T14:41:46.819Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-05T14:41:46.845Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-10-05_07_41_41-18030566251976078426 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-05T14:42:19.208Z: 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:2022-10-05T14:42:28.912Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 based on the rate of progress in the currently running stage(s).
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-05T14:42:56.141Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-05T14:49:58.201Z: JOB_MESSAGE_BASIC: Finished operation Read/Impulse+Read/Map(<lambda at iobase.py:908>)+ref_AppliedPTransform_Read-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction+ref_AppliedPTransform_Read-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/SplitWithSizing
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-05T14:49:58.274Z: JOB_MESSAGE_DEBUG: Value "ref_AppliedPTransform_Read-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6-split-with-sizing-out3" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-05T14:49:58.345Z: JOB_MESSAGE_BASIC: Executing operation GroupByKey 0/Create
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-05T14:49:59.746Z: JOB_MESSAGE_BASIC: Finished operation GroupByKey 0/Create
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-05T14:49:59.817Z: JOB_MESSAGE_DEBUG: Value "GroupByKey 0/Session" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-10-05T14:49:59.881Z: JOB_MESSAGE_BASIC: Executing operation ref_AppliedPTransform_Read-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/ProcessElementAndRestrictionWithSizing+Measure time: Start+Assign timestamps+GroupByKey 0/Write
Terminated
Daemon vm is shutting down... The daemon has exited normally or was terminated in response to a user interrupt.
----- End of the daemon log -----


FAILURE: Build failed with an exception.

* What went wrong:
Gradle build daemon disappeared unexpectedly (it may have been killed or may have crashed)

* 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
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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Jenkins build is back to normal : beam_LoadTests_Python_GBK_reiterate_Dataflow_Batch #1208

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