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Posted to builds@beam.apache.org by Apache Jenkins Server <je...@builds.apache.org> on 2022/02/24 13:15:53 UTC
Build failed in Jenkins: beam_LoadTests_Python_ParDo_Dataflow_Streaming #525
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Dataflow_Streaming/525/display/redirect?page=changes>
Changes:
[noreply] [BEAM-12645] Fix code-cov flakes due to monorepo. (#16925)
[noreply] [BEAM-13969] Deprecate stringx package (#16884)
[noreply] Add Go badge to ReadMe (#16897)
[noreply] [BEAM-13980] Re-add method gone missing in af2f8ee6 (#16918)
[noreply] [BEAM-13884] Improve mtime package (#16924)
[noreply] Minor: Update Go API doc links (#16932)
[noreply] [BEAM-13218] Re-enable
[noreply] Merge pull request #16857 from [BEAM-13662] [Playground] Support
[noreply] Merge pull request #16826 from [BEAM-13870] [Playground] Increase test
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> 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_ParDo_Dataflow_Streaming/ws/src/sdks/python/build/apache-beam.tar.gz"> to staging location.
WARNING:root:Make sure that locally built Python SDK docker image has Python 3.7 interpreter.
INFO:root:Default Python SDK image for environment is apache/beam_python3.7_sdk:2.38.0.dev
INFO:root:Using provided Python SDK container image: gcr.io/cloud-dataflow/v1beta3/python37-fnapi:beam-master-20220208
INFO:root:Python SDK container image set to "gcr.io/cloud-dataflow/v1beta3/python37-fnapi:beam-master-20220208" for Docker environment
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-streaming-pardo-1-0224125553.1645707685.662402/dataflow_python_sdk.tar...
INFO:oauth2client.transport:Attempting refresh to obtain initial access_token
INFO:oauth2client.transport:Attempting refresh to obtain initial access_token
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/loadtests/load-tests-python-dataflow-streaming-pardo-1-0224125553.1645707685.662402/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-streaming-pardo-1-0224125553.1645707685.662402/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to gs://temp-storage-for-perf-tests/loadtests/load-tests-python-dataflow-streaming-pardo-1-0224125553.1645707685.662402/pipeline.pb in 0 seconds.
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', 'shuffle_mode=appliance']
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=10', '--number_of_counter_operations=0', '--number_of_counters=0', 'shuffle_mode=appliance']
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20220224130125663363-6408'
createTime: '2022-02-24T13:01:26.643890Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2022-02-24_05_01_26-8236587008322102546'
location: 'us-central1'
name: 'load-tests-python-dataflow-streaming-pardo-1-0224125553'
projectId: 'apache-beam-testing'
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startTime: '2022-02-24T13:01:26.643890Z'
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INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: [2022-02-24_05_01_26-8236587008322102546]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2022-02-24_05_01_26-8236587008322102546
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2022-02-24_05_01_26-8236587008322102546?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-02-24_05_01_26-8236587008322102546 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:01:32.837Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:01:33.833Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:01:33.874Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:01:33.939Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:01:33.977Z: JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:01:34.017Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write steps
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:01:34.050Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:01:34.079Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:01:34.119Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:01:34.156Z: JOB_MESSAGE_DETAILED: Fusing consumer Read synthetic/Map(<lambda at iobase.py:898>) into Read synthetic/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:01:34.182Z: JOB_MESSAGE_DETAILED: Fusing consumer ref_AppliedPTransform_Read-synthetic-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction into Read synthetic/Map(<lambda at iobase.py:898>)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:01:34.217Z: JOB_MESSAGE_DETAILED: Fusing consumer ref_AppliedPTransform_Read-synthetic-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/SplitWithSizing into ref_AppliedPTransform_Read-synthetic-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:01:34.251Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure time: Start into ref_AppliedPTransform_Read-synthetic-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/ProcessElementAndRestrictionWithSizing
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:01:34.285Z: JOB_MESSAGE_DETAILED: Fusing consumer Step: 0 into Measure time: Start
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:01:34.316Z: JOB_MESSAGE_DETAILED: Fusing consumer Step: 1 into Step: 0
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:01:34.350Z: JOB_MESSAGE_DETAILED: Fusing consumer Step: 2 into Step: 1
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:01:34.372Z: JOB_MESSAGE_DETAILED: Fusing consumer Step: 3 into Step: 2
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:01:34.404Z: JOB_MESSAGE_DETAILED: Fusing consumer Step: 4 into Step: 3
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:01:34.435Z: JOB_MESSAGE_DETAILED: Fusing consumer Step: 5 into Step: 4
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:01:34.466Z: JOB_MESSAGE_DETAILED: Fusing consumer Step: 6 into Step: 5
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:01:34.498Z: JOB_MESSAGE_DETAILED: Fusing consumer Step: 7 into Step: 6
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:01:34.532Z: JOB_MESSAGE_DETAILED: Fusing consumer Step: 8 into Step: 7
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:01:34.571Z: JOB_MESSAGE_DETAILED: Fusing consumer Step: 9 into Step: 8
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:01:34.604Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure time: End into Step: 9
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:01:34.672Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:01:34.701Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:01:34.730Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:01:34.762Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:01:34.795Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:01:34.848Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:01:34.880Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:01:34.912Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-02-24_05_01_26-8236587008322102546 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:01:58.543Z: 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:2022-02-24T13:02:17.623Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:02:41.937Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:02:41.957Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:13:53.127Z: JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:13:53.212Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:13:53.245Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:13:53.293Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:13:53.317Z: JOB_MESSAGE_BASIC: Stopping **** pool...
Terminated
The message received from the daemon indicates that the daemon has disappeared.
Build request sent: Build{id=2400aabc-36a8-4129-8686-85c858eea57d, currentDir=<https://ci-beam.apache.org/job/beam_LoadTests_Python_ParDo_Dataflow_Streaming/ws/src}>
Attempting to read last messages from the daemon log...
Daemon pid: 3529954
log file: /home/jenkins/.gradle/daemon/7.3.2/daemon-3529954.out.log
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INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:01:34.672Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:01:34.701Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:01:34.730Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:01:34.762Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:01:34.795Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:01:34.848Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:01:34.880Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:01:34.912Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-02-24_05_01_26-8236587008322102546 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:01:58.543Z: 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:2022-02-24T13:02:17.623Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:02:41.937Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:02:41.957Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:13:53.127Z: JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:13:53.212Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:13:53.245Z: JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:13:53.293Z: JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-02-24T13:13:53.317Z: JOB_MESSAGE_BASIC: Stopping **** pool...
Terminated
Daemon vm is shutting down... The daemon has exited normally or was terminated in response to a user interrupt.
----- End of the daemon log -----
FAILURE: Build failed with an exception.
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Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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