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Posted to builds@beam.apache.org by Apache Jenkins Server <je...@builds.apache.org> on 2022/03/14 14:50:55 UTC
Build failed in Jenkins: beam_LoadTests_Python_GBK_reiterate_Dataflow_Streaming #559
See <https://ci-beam.apache.org/job/beam_LoadTests_Python_GBK_reiterate_Dataflow_Streaming/559/display/redirect>
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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_GBK_reiterate_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-gbk-6-0314125505.1647268635.706542/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-gbk-6-0314125505.1647268635.706542/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-gbk-6-0314125505.1647268635.706542/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-gbk-6-0314125505.1647268635.706542/pipeline.pb in 0 seconds.
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=4', '--fanout=1', 'shuffle_mode=appliance']
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: ['--iterations=4', '--fanout=1', 'shuffle_mode=appliance']
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: [2022-03-14_07_37_16-12111091237696815891]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 2022-03-14_07_37_16-12111091237696815891
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow monitoring console, please navigate to https://console.cloud.google.com/dataflow/jobs/us-central1/2022-03-14_07_37_16-12111091237696815891?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-03-14_07_37_16-12111091237696815891 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-14T14:37:24.518Z: JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-14T14:37:30.109Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-14T14:37:31.902Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-14T14:37:31.971Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-14T14:37:31.998Z: JOB_MESSAGE_DEBUG: Combiner lifting skipped for step GroupByKey 0: GroupByKey not followed by a combiner.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-14T14:37:32.039Z: JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-14T14:37:32.069Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write steps
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-14T14:37:32.130Z: JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-14T14:37:32.239Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-14T14:37:32.281Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-14T14:37:32.331Z: JOB_MESSAGE_DETAILED: Fusing consumer Read/Map(<lambda at iobase.py:898>) into Read/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-14T14:37:32.360Z: JOB_MESSAGE_DETAILED: Fusing consumer ref_AppliedPTransform_Read-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction into Read/Map(<lambda at iobase.py:898>)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-14T14:37:32.396Z: 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:2022-03-14T14:37:32.429Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure time: Start into ref_AppliedPTransform_Read-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/ProcessElementAndRestrictionWithSizing
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-14T14:37:32.462Z: JOB_MESSAGE_DETAILED: Fusing consumer Assign timestamps into Measure time: Start
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-14T14:37:32.527Z: JOB_MESSAGE_DETAILED: Fusing consumer GroupByKey 0/WriteStream into Assign timestamps
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-14T14:37:32.565Z: JOB_MESSAGE_DETAILED: Fusing consumer GroupByKey 0/MergeBuckets into GroupByKey 0/ReadStream
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-14T14:37:32.608Z: JOB_MESSAGE_DETAILED: Fusing consumer Ungroup 0 into GroupByKey 0/MergeBuckets
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-14T14:37:32.640Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure latency 0 into Ungroup 0
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-14T14:37:32.676Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure time: End 0 into Measure latency 0
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-14T14:37:32.806Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-14T14:37:32.838Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-14T14:37:32.870Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-14T14:37:32.894Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-14T14:37:32.922Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-14T14:37:32.974Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-14T14:37:33Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-14T14:37:33.039Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-03-14_07_37_16-12111091237696815891 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-14T14:37:38.696Z: 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:2022-03-14T14:38:13.635Z: 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:2022-03-14T14:38:39.047Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
Terminated
The message received from the daemon indicates that the daemon has disappeared.
Build request sent: Build{id=b6d19c27-d0b4-40a2-a8f1-6b2e9f2a1b12, currentDir=<https://ci-beam.apache.org/job/beam_LoadTests_Python_GBK_reiterate_Dataflow_Streaming/ws/src}>
Attempting to read last messages from the daemon log...
Daemon pid: 446659
log file: /home/jenkins/.gradle/daemon/7.3.2/daemon-446659.out.log
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INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-14T14:37:32.462Z: JOB_MESSAGE_DETAILED: Fusing consumer Assign timestamps into Measure time: Start
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-14T14:37:32.527Z: JOB_MESSAGE_DETAILED: Fusing consumer GroupByKey 0/WriteStream into Assign timestamps
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-14T14:37:32.565Z: JOB_MESSAGE_DETAILED: Fusing consumer GroupByKey 0/MergeBuckets into GroupByKey 0/ReadStream
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-14T14:37:32.608Z: JOB_MESSAGE_DETAILED: Fusing consumer Ungroup 0 into GroupByKey 0/MergeBuckets
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-14T14:37:32.640Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure latency 0 into Ungroup 0
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-14T14:37:32.676Z: JOB_MESSAGE_DETAILED: Fusing consumer Measure time: End 0 into Measure latency 0
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-14T14:37:32.806Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-14T14:37:32.838Z: JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-14T14:37:32.870Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-14T14:37:32.894Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-14T14:37:32.922Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-14T14:37:32.974Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-14T14:37:33Z: JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-14T14:37:33.039Z: JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 2022-03-14_07_37_16-12111091237696815891 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-03-14T14:37:38.696Z: 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:2022-03-14T14:38:13.635Z: 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:2022-03-14T14:38:39.047Z: JOB_MESSAGE_DETAILED: Workers have started successfully.
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 -----
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