See
<https://ci-beam.apache.org/job/beam_LoadTests_Python_GBK_reiterate_Dataflow_Streaming/827/display/redirect?page=changes>
Changes:
[noreply] Bump golang.org/x/net from 0.2.0 to 0.3.0 in /sdks (#24544)
[noreply] Precommit python version update (#24526)
[noreply] [CdapIO] Add CdapIO and SparkReceiverIO documentation in website
[relax] fix null pointer exception caused by clearing member variable
[noreply] Adding support for Pubsub Lite Writes in SchemaTransforms (#24359)
[noreply] Disallow using the JRH with Python streaming pipelines (#24513)
[noreply] Add RunInference example for TensorFlow Hub pre-trained model (#24529)
[noreply] update(PULL Request template) remove Choose reviewer (#24540)
[noreply] Revert "Bump actions/setup-java from 3.6.0 to 3.7.0 (#24484)" (#24551)
[noreply] Interface{}->any for more subfolders (#24553)
[Kenneth Knowles] Support multiple gradle tasks in one precommit job
[Kenneth Knowles] Split up some IOs from Java PreCommit
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Building wheels for collected packages: apache-beam
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Installing collected packages: sortedcontainers, pytz, pyasn1, parameterized,
iniconfig, docopt, crcmod, zstandard, wrapt, websocket-client, urllib3,
typing-extensions, tomli, threadpoolctl, tenacity, sqlparse, scipy, rsa, regex,
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Successfully installed PyJWT-2.6.0 apache-beam-2.45.0.dev0 attrs-22.1.0
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> Task :sdks:python:apache_beam:testing:load_tests:run
INFO:apache_beam.runners.portability.stager:Copying Beam SDK
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to staging location.
INFO:apache_beam.runners.dataflow.dataflow_runner:Pipeline has additional
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more on
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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:
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INFO:root:Python SDK container image set to
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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-6-1207125432.1670424203.014826/dataflow_python_sdk.tar...
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INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to
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INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to
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INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
clientRequestId: '20221207144323015966-1693'
createTime: '2022-12-07T14:43:24.041587Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2022-12-07_06_43_23-18090695312910547925'
location: 'us-central1'
name: 'load-tests-python-dataflow-streaming-gbk-6-1207125432'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2022-12-07T14:43:24.041587Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id:
[2022-12-07_06_43_23-18090695312910547925]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job:
2022-12-07_06_43_23-18090695312910547925
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow
monitoring console, please navigate to
https://console.cloud.google.com/dataflow/jobs/us-central1/2022-12-07_06_43_23-18090695312910547925?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job
2022-12-07_06_43_23-18090695312910547925 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-07T14:43:33.403Z:
JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-07T14:43:34.793Z:
JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable
parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-07T14:43:34.848Z:
JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into
optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-07T14:43:34.986Z:
JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-07T14:43:35.028Z:
JOB_MESSAGE_DEBUG: Combiner lifting skipped for step GroupByKey 0: GroupByKey
not followed by a combiner.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-07T14:43:35.095Z:
JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into
optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-07T14:43:35.126Z:
JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write
steps
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-07T14:43:35.195Z:
JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into
MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-07T14:43:35.266Z:
JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-07T14:43:35.318Z:
JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-07T14:43:35.366Z:
JOB_MESSAGE_DETAILED: Fusing consumer Read/Map(<lambda at iobase.py:908>) into
Read/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-07T14:43:35.401Z:
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:2022-12-07T14:43:35.424Z:
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:2022-12-07T14:43:35.456Z:
JOB_MESSAGE_DETAILED: Fusing consumer Measure time: Start into
ref_AppliedPTransform_Read-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/ProcessElementAndRestrictionWithSizing
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-07T14:43:35.480Z:
JOB_MESSAGE_DETAILED: Fusing consumer Assign timestamps into Measure time: Start
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-07T14:43:35.517Z:
JOB_MESSAGE_DETAILED: Fusing consumer GroupByKey 0/WriteStream into Assign
timestamps
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-07T14:43:35.539Z:
JOB_MESSAGE_DETAILED: Fusing consumer GroupByKey 0/MergeBuckets into GroupByKey
0/ReadStream
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-07T14:43:35.572Z:
JOB_MESSAGE_DETAILED: Fusing consumer Ungroup 0 into GroupByKey 0/MergeBuckets
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-07T14:43:35.597Z:
JOB_MESSAGE_DETAILED: Fusing consumer Measure latency 0 into Ungroup 0
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-07T14:43:35.629Z:
JOB_MESSAGE_DETAILED: Fusing consumer Measure time: End 0 into Measure latency 0
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-07T14:43:35.732Z:
JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-07T14:43:35.777Z:
JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-07T14:43:35.813Z:
JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-07T14:43:35.848Z:
JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-07T14:43:35.872Z:
JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-07T14:43:36.963Z:
JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-07T14:43:37.001Z:
JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-07T14:43:37.079Z:
JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:Job
2022-12-07_06_43_23-18090695312910547925 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-07T14:43:47.270Z:
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:2022-12-07T14:44:19.469Z:
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:2022-12-07T14:44:54.993Z:
JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-07T14:45:06.183Z:
JOB_MESSAGE_DETAILED: All ****s have finished the startup processes and began
to receive work requests.
Terminated
The message received from the daemon indicates that the daemon has disappeared.
Build request sent: Build{id=72e4de5b-cc33-4baf-8193-6cc4014dbe83,
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: 266631
log file: /home/jenkins/.gradle/daemon/7.5.1/daemon-266631.out.log
----- Last 20 lines from daemon log file - daemon-266631.out.log -----
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-07T14:43:35.517Z:
JOB_MESSAGE_DETAILED: Fusing consumer GroupByKey 0/WriteStream into Assign
timestamps
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-07T14:43:35.539Z:
JOB_MESSAGE_DETAILED: Fusing consumer GroupByKey 0/MergeBuckets into GroupByKey
0/ReadStream
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-07T14:43:35.572Z:
JOB_MESSAGE_DETAILED: Fusing consumer Ungroup 0 into GroupByKey 0/MergeBuckets
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-07T14:43:35.597Z:
JOB_MESSAGE_DETAILED: Fusing consumer Measure latency 0 into Ungroup 0
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-07T14:43:35.629Z:
JOB_MESSAGE_DETAILED: Fusing consumer Measure time: End 0 into Measure latency 0
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-07T14:43:35.732Z:
JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-07T14:43:35.777Z:
JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-07T14:43:35.813Z:
JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-07T14:43:35.848Z:
JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-07T14:43:35.872Z:
JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-07T14:43:36.963Z:
JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-07T14:43:37.001Z:
JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-07T14:43:37.079Z:
JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:Job
2022-12-07_06_43_23-18090695312910547925 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-07T14:43:47.270Z:
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:2022-12-07T14:44:19.469Z:
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:2022-12-07T14:44:54.993Z:
JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-07T14:45:06.183Z:
JOB_MESSAGE_DETAILED: All ****s have finished the startup processes and began
to receive work requests.
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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