See
<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/837/display/redirect?page=changes>
Changes:
[Kenneth Knowles] Exclude IOs already split from Java Precommit job
[Kenneth Knowles] Move expansion services into appropriate precommits
[Kenneth Knowles] Split more IOs out of Java precommit
[Kenneth Knowles] Fix trigger paths for separated IOs
[Kenneth Knowles] Turn rawtype checking back on for core Java SDK
[noreply] Bump golang.org/x/net from 0.3.0 to 0.4.0 in /sdks (#24587)
[noreply] Replaced finalize with DoFn Teardown in Neo4jIO (#24571)
[Kenneth Knowles] Simplify bug report templates
[Kenneth Knowles] Fix bugs in issue template yml
[noreply] Fix issue templates (#24597)
[noreply] [#24024] Stop wrapping light weight functions with Contextful as they
[noreply] Sample window size as well (#24388)
[noreply] Implement Kafka Write Schema Transform (#24495)
[Kenneth Knowles] Eliminate null errors from JdbcIO
[noreply] docs(fix): Filter.whereFieldName(s?) ->
[hiandyzhang] ElasticsearchIO: Lower log level in flushBatch to avoid noisy log
[noreply] interface{} -> any for registration (#24600)
[noreply] Restrict tox to be in 3.x version (#24601)
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iniconfig, docopt, crcmod, zstandard, wrapt, websocket-client, urllib3,
typing-extensions, tomli, threadpoolctl, tenacity, sqlparse, scipy, rsa, regex,
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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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INFO:root:Default Python SDK image for environment is
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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/smoketests
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
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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: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: '20221209150746247357-3813'
createTime: '2022-12-09T15:07:47.384264Z'
currentStateTime: '1970-01-01T00:00:00Z'
id: '2022-12-09_07_07_46-1488038765689488338'
location: 'us-central1'
name: 'load-tests-python-dataflow-streaming-combine-1-1209150158'
projectId: 'apache-beam-testing'
stageStates: []
startTime: '2022-12-09T15:07:47.384264Z'
steps: []
tempFiles: []
type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id:
[2022-12-09_07_07_46-1488038765689488338]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job:
2022-12-09_07_07_46-1488038765689488338
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_07_07_46-1488038765689488338?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job
2022-12-09_07_07_46-1488038765689488338 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T15:07:53.567Z:
JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T15:07:55.037Z:
JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable
parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T15:07:55.071Z:
JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into
optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T15:07:55.137Z:
JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T15:07:55.204Z:
JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into
optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T15:07:55.232Z:
JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write
steps
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T15:07:55.282Z:
JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into
MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T15:07:55.353Z:
JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T15:07:55.392Z:
JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T15:07:55.421Z:
JOB_MESSAGE_DETAILED: Fusing consumer Read synthetic/Map(<lambda at
iobase.py:908>) into Read synthetic/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T15:07:55.451Z:
JOB_MESSAGE_DETAILED: Fusing consumer
ref_AppliedPTransform_Read-synthetic-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction
into Read synthetic/Map(<lambda at iobase.py:908>)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T15:07:55.473Z:
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:2022-12-09T15:07:55.504Z:
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:2022-12-09T15:07:55.529Z:
JOB_MESSAGE_DETAILED: Fusing consumer Combine with Top 0/KeyWithVoid into
Measure time: Start
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T15:07:55.564Z:
JOB_MESSAGE_DETAILED: Fusing consumer Combine with Top
0/CombinePerKey/Combine/ConvertToAccumulators into Combine with Top
0/KeyWithVoid
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T15:07:55.596Z:
JOB_MESSAGE_DETAILED: Fusing consumer Combine with Top
0/CombinePerKey/GroupByKey/WriteStream into Combine with Top
0/CombinePerKey/Combine/ConvertToAccumulators
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T15:07:55.620Z:
JOB_MESSAGE_DETAILED: Fusing consumer Combine with Top 0/CombinePerKey/Combine
into Combine with Top 0/CombinePerKey/GroupByKey/ReadStream
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T15:07:55.644Z:
JOB_MESSAGE_DETAILED: Fusing consumer Combine with Top
0/CombinePerKey/Combine/Extract into Combine with Top 0/CombinePerKey/Combine
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T15:07:55.669Z:
JOB_MESSAGE_DETAILED: Fusing consumer Combine with Top 0/UnKey into Combine
with Top 0/CombinePerKey/Combine/Extract
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T15:07:55.706Z:
JOB_MESSAGE_DETAILED: Fusing consumer Consume 0 into Combine with Top 0/UnKey
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T15:07:55.729Z:
JOB_MESSAGE_DETAILED: Fusing consumer Measure time: End 0 into Consume 0
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T15:07:55.838Z:
JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T15:07:55.876Z:
JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T15:07:55.902Z:
JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T15:07:55.931Z:
JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T15:07:55.957Z:
JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T15:07:57.024Z:
JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T15:07:57.063Z:
JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T15:07:57.096Z:
JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job
2022-12-09_07_07_46-1488038765689488338 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T15:08:17.855Z:
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:2022-12-09T15:08:38.127Z:
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:2022-12-09T15:09:07.754Z:
JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T15:09:18.229Z:
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=bf896169-6e63-42a1-b81b-d117a26367b7,
currentDir=<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src}>
Attempting to read last messages from the daemon log...
Daemon pid: 3303194
log file: /home/jenkins/.gradle/daemon/7.5.1/daemon-3303194.out.log
----- Last 20 lines from daemon log file - daemon-3303194.out.log -----
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T15:07:55.620Z:
JOB_MESSAGE_DETAILED: Fusing consumer Combine with Top 0/CombinePerKey/Combine
into Combine with Top 0/CombinePerKey/GroupByKey/ReadStream
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T15:07:55.644Z:
JOB_MESSAGE_DETAILED: Fusing consumer Combine with Top
0/CombinePerKey/Combine/Extract into Combine with Top 0/CombinePerKey/Combine
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T15:07:55.669Z:
JOB_MESSAGE_DETAILED: Fusing consumer Combine with Top 0/UnKey into Combine
with Top 0/CombinePerKey/Combine/Extract
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T15:07:55.706Z:
JOB_MESSAGE_DETAILED: Fusing consumer Consume 0 into Combine with Top 0/UnKey
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T15:07:55.729Z:
JOB_MESSAGE_DETAILED: Fusing consumer Measure time: End 0 into Consume 0
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T15:07:55.838Z:
JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T15:07:55.876Z:
JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T15:07:55.902Z:
JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T15:07:55.931Z:
JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T15:07:55.957Z:
JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T15:07:57.024Z:
JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T15:07:57.063Z:
JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T15:07:57.096Z:
JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job
2022-12-09_07_07_46-1488038765689488338 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T15:08:17.855Z:
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:2022-12-09T15:08:38.127Z:
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:2022-12-09T15:09:07.754Z:
JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-09T15:09:18.229Z:
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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