See
<https://ci-beam.apache.org/job/beam_python_mongoio_load_test/4308/display/redirect?page=changes>
Changes:
[noreply] interface{} -> any for registration (#24600)
[noreply] Restrict tox to be in 3.x version (#24601)
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Successfully built apache-beam
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> Task :sdks:python:test-suites:dataflow:py37:mongodbioIT
INFO:__main__:Writing 1000000 documents to mongodb
<https://ci-beam.apache.org/job/beam_python_mongoio_load_test/ws/src/build/gradleenv/-1734967052/lib/python3.7/site-packages/apache_beam/io/mongodbio_it_test.py>:80:
FutureWarning: WriteToMongoDB is experimental.
known_args.batch_size))
INFO:apache_beam.runners.portability.stager:Copying Beam SDK
"<https://ci-beam.apache.org/job/beam_python_mongoio_load_test/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:2.45.0.dev
INFO:root:Using provided Python SDK container image:
gcr.io/cloud-dataflow/v1beta3/python37:beam-master-20221205
INFO:root:Python SDK container image set to
"gcr.io/cloud-dataflow/v1beta3/python37:beam-master-20221205" for Docker
environment
INFO:apache_beam.runners.portability.fn_api_runner.translations:====================
<function pack_combiners at 0x7f00de373a70> ====================
INFO:apache_beam.runners.portability.fn_api_runner.translations:====================
<function sort_stages at 0x7f00de375290> ====================
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/beamapp-jenkins-1209144510-112465-95iaebb1.1670597110.112864/dataflow_python_sdk.tar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to
gs://temp-storage-for-perf-tests/loadtests/beamapp-jenkins-1209144510-112465-95iaebb1.1670597110.112864/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/beamapp-jenkins-1209144510-112465-95iaebb1.1670597110.112864/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to
gs://temp-storage-for-perf-tests/loadtests/beamapp-jenkins-1209144510-112465-95iaebb1.1670597110.112864/pipeline.pb
in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20221209144510113814-3118'
createTime: '2022-12-09T14:45:11.513256Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2022-12-09_06_45_10-491060045090641419'
location: 'us-central1'
name: 'beamapp-jenkins-1209144510-112465-95iaebb1'
projectId: 'apache-beam-testing'
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startTime: '2022-12-09T14:45:11.513256Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_BATCH, 1)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id:
[2022-12-09_06_45_10-491060045090641419]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job:
2022-12-09_06_45_10-491060045090641419
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow
monitoring console, please navigate to
https://console.cloud.google.com/dataflow/jobs/us-central1/2022-12-09_06_45_10-491060045090641419?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job
2022-12-09_06_45_10-491060045090641419 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T14:45:11.003Z:
JOB_MESSAGE_BASIC: Dataflow Runner V2 auto-enabled. Use
--experiments=disable_runner_v2 to opt out.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T14:45:11.998Z:
JOB_MESSAGE_DETAILED: Autoscaling is enabled for job
2022-12-09_06_45_10-491060045090641419. The number of workers will be between 1
and 1000.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T14:45:12.042Z:
JOB_MESSAGE_DETAILED: Autoscaling was automatically enabled for job
2022-12-09_06_45_10-491060045090641419.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T14:45:13.979Z:
JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T14:45:14.759Z:
JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable
parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T14:45:14.792Z:
JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into
optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T14:45:14.858Z:
JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T14:45:14.893Z:
JOB_MESSAGE_DEBUG: Combiner lifting skipped for step
WriteToMongoDB/Reshuffle/ReshufflePerKey/GroupByKey: GroupByKey not followed by
a combiner.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T14:45:14.931Z:
JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T14:45:14.968Z:
JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T14:45:15.007Z:
JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T14:45:15.045Z:
JOB_MESSAGE_DETAILED: Fusing consumer Create/FlatMap(<lambda at core.py:3501>)
into Create/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T14:45:15.066Z:
JOB_MESSAGE_DETAILED: Fusing consumer Create/Map(decode) into
Create/FlatMap(<lambda at core.py:3501>)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T14:45:15.092Z:
JOB_MESSAGE_DETAILED: Fusing consumer Create documents into Create/Map(decode)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T14:45:15.120Z:
JOB_MESSAGE_DETAILED: Fusing consumer WriteToMongoDB/ParDo(_GenerateObjectIdFn)
into Create documents
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T14:45:15.152Z:
JOB_MESSAGE_DETAILED: Fusing consumer WriteToMongoDB/Reshuffle/AddRandomKeys
into WriteToMongoDB/ParDo(_GenerateObjectIdFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T14:45:15.185Z:
JOB_MESSAGE_DETAILED: Fusing consumer
WriteToMongoDB/Reshuffle/ReshufflePerKey/Map(reify_timestamps) into
WriteToMongoDB/Reshuffle/AddRandomKeys
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T14:45:15.207Z:
JOB_MESSAGE_DETAILED: Fusing consumer
WriteToMongoDB/Reshuffle/ReshufflePerKey/GroupByKey/Reify into
WriteToMongoDB/Reshuffle/ReshufflePerKey/Map(reify_timestamps)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T14:45:15.237Z:
JOB_MESSAGE_DETAILED: Fusing consumer
WriteToMongoDB/Reshuffle/ReshufflePerKey/GroupByKey/Write into
WriteToMongoDB/Reshuffle/ReshufflePerKey/GroupByKey/Reify
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T14:45:15.261Z:
JOB_MESSAGE_DETAILED: Fusing consumer
WriteToMongoDB/Reshuffle/ReshufflePerKey/GroupByKey/GroupByWindow into
WriteToMongoDB/Reshuffle/ReshufflePerKey/GroupByKey/Read
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T14:45:15.284Z:
JOB_MESSAGE_DETAILED: Fusing consumer
WriteToMongoDB/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps) into
WriteToMongoDB/Reshuffle/ReshufflePerKey/GroupByKey/GroupByWindow
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T14:45:15.315Z:
JOB_MESSAGE_DETAILED: Fusing consumer WriteToMongoDB/Reshuffle/RemoveRandomKeys
into WriteToMongoDB/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T14:45:15.350Z:
JOB_MESSAGE_DETAILED: Fusing consumer WriteToMongoDB/ParDo(_WriteMongoFn) into
WriteToMongoDB/Reshuffle/RemoveRandomKeys
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T14:45:15.389Z:
JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T14:45:15.412Z:
JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T14:45:15.453Z:
JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T14:45:15.482Z:
JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T14:45:15.613Z:
JOB_MESSAGE_DEBUG: Executing wait step start13
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T14:45:15.685Z:
JOB_MESSAGE_BASIC: Executing operation
WriteToMongoDB/Reshuffle/ReshufflePerKey/GroupByKey/Create
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T14:45:15.730Z:
JOB_MESSAGE_DEBUG: Starting worker pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T14:45:15.761Z:
JOB_MESSAGE_BASIC: Starting 5 workers in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T14:45:15.988Z:
JOB_MESSAGE_BASIC: Finished operation
WriteToMongoDB/Reshuffle/ReshufflePerKey/GroupByKey/Create
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T14:45:16.055Z:
JOB_MESSAGE_DEBUG: Value
"WriteToMongoDB/Reshuffle/ReshufflePerKey/GroupByKey/Session" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T14:45:16.106Z:
JOB_MESSAGE_BASIC: Executing operation Create/Impulse+Create/FlatMap(<lambda at
core.py:3501>)+Create/Map(decode)+Create
documents+WriteToMongoDB/ParDo(_GenerateObjectIdFn)+WriteToMongoDB/Reshuffle/AddRandomKeys+WriteToMongoDB/Reshuffle/ReshufflePerKey/Map(reify_timestamps)+WriteToMongoDB/Reshuffle/ReshufflePerKey/GroupByKey/Reify+WriteToMongoDB/Reshuffle/ReshufflePerKey/GroupByKey/Write
INFO:apache_beam.runners.dataflow.dataflow_runner:Job
2022-12-09_06_45_10-491060045090641419 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T14:45:45.322Z:
JOB_MESSAGE_BASIC: Your project already contains 100 Dataflow-created metric
descriptors, so new user metrics of the form custom.googleapis.com/* will not
be created. However, all user metrics are also available in the metric
dataflow.googleapis.com/job/user_counter. If you rely on the custom metrics,
you can delete old / unused metric descriptors. See
https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.list
and
https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.delete
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T14:45:47.194Z:
JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of workers to 1 based on
the rate of progress in the currently running stage(s).
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T14:45:47.224Z:
JOB_MESSAGE_DETAILED: Autoscaling: Resized worker pool to 1, though goal was 5.
This could be a quota issue.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T14:45:57.059Z:
JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of workers to 5 based on
the rate of progress in the currently running stage(s).
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T14:45:57.090Z:
JOB_MESSAGE_DETAILED: Autoscaling: Would further reduce the number of workers
but reached the minimum number allowed for the job.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T14:46:25.466Z:
JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T14:48:49.391Z:
JOB_MESSAGE_DETAILED: Autoscaling: Reduced the number of workers to 1 based on
the rate of progress in the currently running stage(s).
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T14:48:49.434Z:
JOB_MESSAGE_DETAILED: Autoscaling: Would further reduce the number of workers
but reached the minimum number allowed for the job.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T14:48:54.491Z:
JOB_MESSAGE_DETAILED: Autoscaling: Resizing worker pool from 5 to 1.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T14:53:38.460Z:
JOB_MESSAGE_DETAILED: All workers have finished the startup processes and began
to receive work requests.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T14:54:11.219Z:
JOB_MESSAGE_BASIC: Finished operation Create/Impulse+Create/FlatMap(<lambda at
core.py:3501>)+Create/Map(decode)+Create
documents+WriteToMongoDB/ParDo(_GenerateObjectIdFn)+WriteToMongoDB/Reshuffle/AddRandomKeys+WriteToMongoDB/Reshuffle/ReshufflePerKey/Map(reify_timestamps)+WriteToMongoDB/Reshuffle/ReshufflePerKey/GroupByKey/Reify+WriteToMongoDB/Reshuffle/ReshufflePerKey/GroupByKey/Write
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T14:54:11.267Z:
JOB_MESSAGE_BASIC: Executing operation
WriteToMongoDB/Reshuffle/ReshufflePerKey/GroupByKey/Close
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T14:54:11.310Z:
JOB_MESSAGE_BASIC: Finished operation
WriteToMongoDB/Reshuffle/ReshufflePerKey/GroupByKey/Close
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T14:54:11.365Z:
JOB_MESSAGE_BASIC: Executing operation
WriteToMongoDB/Reshuffle/ReshufflePerKey/GroupByKey/Read+WriteToMongoDB/Reshuffle/ReshufflePerKey/GroupByKey/GroupByWindow+WriteToMongoDB/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)+WriteToMongoDB/Reshuffle/RemoveRandomKeys+WriteToMongoDB/ParDo(_WriteMongoFn)
Terminated
The message received from the daemon indicates that the daemon has disappeared.
Build request sent: Build{id=d7d8adf9-427e-4cfd-ac3f-82e6628476a4,
currentDir=<https://ci-beam.apache.org/job/beam_python_mongoio_load_test/ws/src}>
Attempting to read last messages from the daemon log...
Daemon pid: 689646
log file: /home/jenkins/.gradle/daemon/7.5.1/daemon-689646.out.log
----- Last 20 lines from daemon log file - daemon-689646.out.log -----
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T14:45:15.988Z:
JOB_MESSAGE_BASIC: Finished operation
WriteToMongoDB/Reshuffle/ReshufflePerKey/GroupByKey/Create
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T14:45:16.055Z:
JOB_MESSAGE_DEBUG: Value
"WriteToMongoDB/Reshuffle/ReshufflePerKey/GroupByKey/Session" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T14:45:16.106Z:
JOB_MESSAGE_BASIC: Executing operation Create/Impulse+Create/FlatMap(<lambda at
core.py:3501>)+Create/Map(decode)+Create
documents+WriteToMongoDB/ParDo(_GenerateObjectIdFn)+WriteToMongoDB/Reshuffle/AddRandomKeys+WriteToMongoDB/Reshuffle/ReshufflePerKey/Map(reify_timestamps)+WriteToMongoDB/Reshuffle/ReshufflePerKey/GroupByKey/Reify+WriteToMongoDB/Reshuffle/ReshufflePerKey/GroupByKey/Write
INFO:apache_beam.runners.dataflow.dataflow_runner:Job
2022-12-09_06_45_10-491060045090641419 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T14:45:45.322Z:
JOB_MESSAGE_BASIC: Your project already contains 100 Dataflow-created metric
descriptors, so new user metrics of the form custom.googleapis.com/* will not
be created. However, all user metrics are also available in the metric
dataflow.googleapis.com/job/user_counter. If you rely on the custom metrics,
you can delete old / unused metric descriptors. See
https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.list
and
https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.delete
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T14:45:47.194Z:
JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of workers to 1 based on
the rate of progress in the currently running stage(s).
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T14:45:47.224Z:
JOB_MESSAGE_DETAILED: Autoscaling: Resized worker pool to 1, though goal was 5.
This could be a quota issue.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T14:45:57.059Z:
JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of workers to 5 based on
the rate of progress in the currently running stage(s).
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T14:45:57.090Z:
JOB_MESSAGE_DETAILED: Autoscaling: Would further reduce the number of workers
but reached the minimum number allowed for the job.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T14:46:25.466Z:
JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T14:48:49.391Z:
JOB_MESSAGE_DETAILED: Autoscaling: Reduced the number of workers to 1 based on
the rate of progress in the currently running stage(s).
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T14:48:49.434Z:
JOB_MESSAGE_DETAILED: Autoscaling: Would further reduce the number of workers
but reached the minimum number allowed for the job.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T14:48:54.491Z:
JOB_MESSAGE_DETAILED: Autoscaling: Resizing worker pool from 5 to 1.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T14:53:38.460Z:
JOB_MESSAGE_DETAILED: All workers have finished the startup processes and began
to receive work requests.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T14:54:11.219Z:
JOB_MESSAGE_BASIC: Finished operation Create/Impulse+Create/FlatMap(<lambda at
core.py:3501>)+Create/Map(decode)+Create
documents+WriteToMongoDB/ParDo(_GenerateObjectIdFn)+WriteToMongoDB/Reshuffle/AddRandomKeys+WriteToMongoDB/Reshuffle/ReshufflePerKey/Map(reify_timestamps)+WriteToMongoDB/Reshuffle/ReshufflePerKey/GroupByKey/Reify+WriteToMongoDB/Reshuffle/ReshufflePerKey/GroupByKey/Write
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T14:54:11.267Z:
JOB_MESSAGE_BASIC: Executing operation
WriteToMongoDB/Reshuffle/ReshufflePerKey/GroupByKey/Close
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T14:54:11.310Z:
JOB_MESSAGE_BASIC: Finished operation
WriteToMongoDB/Reshuffle/ReshufflePerKey/GroupByKey/Close
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T14:54:11.365Z:
JOB_MESSAGE_BASIC: Executing operation
WriteToMongoDB/Reshuffle/ReshufflePerKey/GroupByKey/Read+WriteToMongoDB/Reshuffle/ReshufflePerKey/GroupByKey/GroupByWindow+WriteToMongoDB/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)+WriteToMongoDB/Reshuffle/RemoveRandomKeys+WriteToMongoDB/ParDo(_WriteMongoFn)
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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