See 
<https://ci-beam.apache.org/job/beam_LoadTests_Python_GBK_Dataflow_Streaming/267/display/redirect?page=changes>

Changes:

[Brian Hulette] Add support std and var in DataFrame and agg

[zhoufek] [BEAM-9487] Raise error in GroupByKey on invalid PCollections

[Brian Hulette] Test std edge cases

[Boyuan Zhang] [BEAM-12353] Sickbay new added failing test for Dataflow runner 
v2.

[noreply] [BEAM-12199] Run pack_combiners phase by default in FnApiRunner and

[noreply] Merge pull request #14531 from [BEAM-12266] Adds a connector that

[noreply] [BEAM-12346] Enable basic ValidatesPortableRunner tests in Samza 
Runner

[noreply] [BEAM-12361] Ensure that Reshuffle.AssignToShard numBuckets is 
respected

[noreply] Run Jenkins jobs for Nexmark Dataflow V2 Java 8 and 11 (#14774)

[noreply] [BEAM-7372][BEAM-9372] Cleanup py2 and py35 codepath from runners 
worker


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Building wheels for collected packages: apache-beam
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Successfully installed apache-beam-2.31.0.dev0 apipkg-1.5 atomicwrites-1.4.0 
attrs-21.2.0 avro-python3-1.9.2.1 azure-core-1.14.0 azure-storage-blob-12.8.1 
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google-cloud-language-1.3.0 google-cloud-pubsub-1.7.0 
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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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WARNING:root:Make sure that locally built Python SDK docker image has Python 
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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 
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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 
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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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WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: 
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WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: 
['--iterations=1', '--fanout=1', 'shuffle_mode=appliance']
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
 createTime: '2021-05-19T12:13:36.023344Z'
 currentStateTime: '1970-01-01T00:00:00Z'
 id: '2021-05-19_05_13_35-5531182052668558835'
 location: 'us-central1'
 name: 'load-tests-python-dataflow-streaming-gbk-3-0519100237'
 projectId: 'apache-beam-testing'
 stageStates: []
 startTime: '2021-05-19T12:13:36.023344Z'
 steps: []
 tempFiles: []
 type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: 
[2021-05-19_05_13_35-5531182052668558835]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 
2021-05-19_05_13_35-5531182052668558835
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow 
monitoring console, please navigate to 
https://console.cloud.google.com/dataflow/jobs/us-central1/2021-05-19_05_13_35-5531182052668558835?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 
2021-05-19_05_13_35-5531182052668558835 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-19T12:13:35.221Z: 
JOB_MESSAGE_BASIC: Streaming Engine auto-enabled. Use 
--experiments=disable_streaming_engine to opt out.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-19T12:13:35.221Z: 
JOB_MESSAGE_BASIC: Dataflow Runner V2 auto-enabled. Use 
--experiments=disable_runner_v2 to opt out.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-19T12:13:40.642Z: 
JOB_MESSAGE_BASIC: Worker configuration: n1-standard-2 in us-central1-f.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-19T12:13:41.223Z: 
JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable 
parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-19T12:13:41.260Z: 
JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into 
optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-19T12:13:41.354Z: 
JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-19T12:13:41.402Z: 
JOB_MESSAGE_DEBUG: Combiner lifting skipped for step GroupByKey 0: GroupByKey 
not followed by a combiner.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-19T12:13:41.436Z: 
JOB_MESSAGE_DEBUG: Combiner lifting skipped for step 
Read/Reshuffle/ReshufflePerKey/GroupByKey: GroupByKey not followed by a 
combiner.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-19T12:13:41.472Z: 
JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into 
optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-19T12:13:41.503Z: 
JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write 
steps
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-19T12:13:41.650Z: 
JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into 
MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-19T12:13:41.775Z: 
JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-19T12:13:41.806Z: 
JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-19T12:13:41.844Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Read/Split into Read/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-19T12:13:41.867Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Read/Reshuffle/AddRandomKeys into 
Read/Split
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-19T12:13:41.889Z: 
JOB_MESSAGE_DETAILED: Fusing consumer 
Read/Reshuffle/ReshufflePerKey/Map(reify_timestamps) into 
Read/Reshuffle/AddRandomKeys
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-19T12:13:41.946Z: 
JOB_MESSAGE_DETAILED: Fusing consumer 
Read/Reshuffle/ReshufflePerKey/GroupByKey/WriteStream into 
Read/Reshuffle/ReshufflePerKey/Map(reify_timestamps)
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-19T12:13:41.974Z: 
JOB_MESSAGE_DETAILED: Fusing consumer 
Read/Reshuffle/ReshufflePerKey/GroupByKey/MergeBuckets into 
Read/Reshuffle/ReshufflePerKey/GroupByKey/ReadStream
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-19T12:13:42.010Z: 
JOB_MESSAGE_DETAILED: Fusing consumer 
Read/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps) into 
Read/Reshuffle/ReshufflePerKey/GroupByKey/MergeBuckets
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-19T12:13:42.048Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Read/Reshuffle/RemoveRandomKeys into 
Read/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-19T12:13:42.076Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Read/ReadSplits into 
Read/Reshuffle/RemoveRandomKeys
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-19T12:13:42.113Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Measure time: Start into Read/ReadSplits
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-19T12:13:42.139Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Assign timestamps into Measure time: Start
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-19T12:13:42.168Z: 
JOB_MESSAGE_DETAILED: Fusing consumer GroupByKey 0/WriteStream into Assign 
timestamps
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-19T12:13:42.193Z: 
JOB_MESSAGE_DETAILED: Fusing consumer GroupByKey 0/MergeBuckets into GroupByKey 
0/ReadStream
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-19T12:13:42.220Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Ungroup 0 into GroupByKey 0/MergeBuckets
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-19T12:13:42.246Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Measure latency 0 into Ungroup 0
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-19T12:13:42.280Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Measure time: End 0 into Measure latency 0
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-19T12:13:42.356Z: 
JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-19T12:13:42.392Z: 
JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-19T12:13:42.426Z: 
JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-19T12:13:42.451Z: 
JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-19T12:13:42.534Z: 
JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-19T12:13:42.572Z: 
JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-f...
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-19T12:13:42.611Z: 
JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 
2021-05-19_05_13_35-5531182052668558835 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-19T12:14:08.029Z: 
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:2021-05-19T12:14:23.726Z: 
JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 1 so that the 
pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-19T12:14:23.757Z: 
JOB_MESSAGE_DETAILED: Resized **** pool to 1, though goal was 5.  This could be 
a quota issue.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-19T12:14:34.021Z: 
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:2021-05-19T12:15:09.729Z: 
JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-19T12:15:09.767Z: 
JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-19T12:22:45.391Z: 
JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-19T12:22:45.451Z: 
JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-19T12:22:45.482Z: 
JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-19T12:22:45.520Z: 
JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-19T12:22:45.573Z: 
JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-19T12:23:38.733Z: 
JOB_MESSAGE_DETAILED: Autoscaling: Reduced the number of ****s to 0 based on 
low average **** CPU utilization, and the pipeline having sufficiently low 
backlog and keeping up with input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-19T12:23:38.776Z: 
JOB_MESSAGE_BASIC: Worker pool stopped.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-19T12:23:38.810Z: 
JOB_MESSAGE_DEBUG: Tearing down pending resources...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 
2021-05-19_05_13_35-5531182052668558835 is in state JOB_STATE_DONE
INFO:apache_beam.testing.load_tests.load_test_metrics_utils:Load test results 
for test: 65713aa3ea244c348c3297669ba03c94 and timestamp: 1621427036.7051697:
INFO:apache_beam.testing.load_tests.load_test_metrics_utils:Metric: 
python_dataflow_streaming_gbk_3_runtime Value: 140
INFO:apache_beam.testing.load_tests.load_test_metrics_utils:Metric: 
python_dataflow_streaming_gbk_3_measure_latency_0_count_latency Value: 20000
INFO:apache_beam.testing.load_tests.load_test_metrics_utils:Metric: 
python_dataflow_streaming_gbk_3_measure_latency_0_max_latency Value: 
-9221750523528926
INFO:apache_beam.testing.load_tests.load_test_metrics_utils:Metric: 
python_dataflow_streaming_gbk_3_measure_latency_0_min_latency Value: 
-9221750523548456
INFO:apache_beam.testing.load_tests.load_test_metrics_utils:Metric: 
python_dataflow_streaming_gbk_3_measure_latency_0_sum_latency Value: 
32430266304918632

Deprecated Gradle features were used in this build, making it incompatible with 
Gradle 7.0.
Use '--warning-mode all' to show the individual deprecation warnings.
See 
https://docs.gradle.org/6.8.3/userguide/command_line_interface.html#sec:command_line_warnings

BUILD SUCCESSFUL in 13m 18s
5 actionable tasks: 5 executed

Publishing build scan...
https://gradle.com/s/nhvhnidol2qik


FAILURE: Build failed with an exception.

* What went wrong:
Timeout waiting to lock daemon addresses registry. It is currently in use by 
another Gradle instance.
Owner PID: unknown
Our PID: 5501
Owner Operation: unknown
Our operation: 
Lock file: /home/jenkins/.gradle/daemon/6.8.3/registry.bin.lock

* 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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