See 
<https://ci-beam.apache.org/job/beam_PerformanceTests_PubsubIOIT_Python_Streaming/151/display/redirect?page=changes>

Changes:

[Boyuan Zhang] [BEAM-10869] Make WriteToPubsub output serialized PubsubMessage 
proto

[tysonjh] Increase Dataflow V2 validates runner timeout.

[noreply] [BEAM-9547] Dataframe corrwith. (#13141)

[noreply] Optimizes extract_output for 1 element accumulator case. (#13220)

[noreply] [BEAM-5465] Run cleanVendor task when clean is invoked (#13222)

[noreply] [BEAM-9615] Add schema coders and tests. #13209

[noreply] [BEAM-5504] Add Avro support to Pubsub table provider (#12780)

[noreply] [BEAM-9547] Implementation for drop, explode (#13139)

[noreply] Merge pull request #13210 from [BEAM-10994] Update hot key detection 
log


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WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: 
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INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T15:50:50.619Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Create 
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INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T15:50:50.656Z: 
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JOB_MESSAGE_DETAILED: Fusing consumer Format to pubsub message in bytes into 
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 and 
https://developers.google.com/apis-explorer/#p/monitoring/v3/monitoring.projects.metricDescriptors.delete
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INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T15:57:42.033Z: 
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INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T15:58:05.219Z: 
JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 2 so that the 
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INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T15:58:05.253Z: 
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INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T15:58:15.854Z: 
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INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T15:58:15.881Z: 
JOB_MESSAGE_DETAILED: Resized **** pool to 4, though goal was 5.  This could be 
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INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T15:59:50.762Z: 
JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 5 so that the 
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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:Completed GCS upload to 
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WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: 
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 id: '2020-10-30_09_06_24-2418369716365089537'
 location: 'us-central1'
 name: 'performance-tests-psio-python-2gb1030150321'
 projectId: 'apache-beam-testing'
 stageStates: []
 startTime: '2020-10-30T16:06:26.084065Z'
 steps: []
 tempFiles: []
 type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: 
[2020-10-30_09_06_24-2418369716365089537]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 
2020-10-30_09_06_24-2418369716365089537
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow 
monitoring console, please navigate to 
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-10-30_09_06_24-2418369716365089537?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 
2020-10-30_09_06_24-2418369716365089537 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T16:06:24.991Z: 
JOB_MESSAGE_BASIC: Dataflow Runner V2 auto-enabled. Use 
--experiments=disable_runner_v2 to opt out.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T16:06:24.991Z: 
JOB_MESSAGE_BASIC: Streaming Engine auto-enabled. Use 
--experiments=disable_streaming_engine to opt out.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T16:06:30.670Z: 
JOB_MESSAGE_BASIC: Worker configuration: n1-standard-2 in us-central1-f.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T16:06:31.383Z: 
JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable 
parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T16:06:31.414Z: 
JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into 
optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T16:06:31.482Z: 
JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T16:06:31.558Z: 
JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into 
optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T16:06:31.589Z: 
JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write 
steps
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T16:06:31.672Z: 
JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into 
MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T16:06:31.734Z: 
JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T16:06:31.782Z: 
JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T16:06:31.811Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Read from pubsub/Map(_from_proto_str) 
into Read from pubsub/Read
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T16:06:31.856Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Map(<lambda at 
pubsub_io_perf_test.py:173>) into Read from pubsub/Map(_from_proto_str)
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T16:06:31.896Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Measure time into Map(<lambda at 
pubsub_io_perf_test.py:173>)
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T16:06:31.961Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Window into Measure time
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T16:06:32.007Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Count messages/KeyWithVoid into Window
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T16:06:32.053Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Count 
messages/CombinePerKey/Combine/ConvertToAccumulators into Count 
messages/KeyWithVoid
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T16:06:32.086Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Count 
messages/CombinePerKey/GroupByKey/WriteStream into Count 
messages/CombinePerKey/Combine/ConvertToAccumulators
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T16:06:32.133Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Count messages/CombinePerKey/Combine into 
Count messages/CombinePerKey/GroupByKey/ReadStream
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T16:06:32.167Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Count 
messages/CombinePerKey/Combine/Extract into Count messages/CombinePerKey/Combine
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T16:06:32.193Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Count messages/UnKey into Count 
messages/CombinePerKey/Combine/Extract
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T16:06:32.220Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Convert to bytes into Count messages/UnKey
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T16:06:32.267Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Write to Pubsub/ToProtobuf into Convert 
to bytes
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T16:06:32.306Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Write to Pubsub/Write/NativeWrite into 
Write to Pubsub/ToProtobuf
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T16:06:32.354Z: 
JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T16:06:32.383Z: 
JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T16:06:32.416Z: 
JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T16:06:32.451Z: 
JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T16:06:33.801Z: 
JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T16:06:33.827Z: 
JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-f...
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T16:06:33.868Z: 
JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T16:06:56.543Z: 
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:2020-10-30T16:09:55.429Z: 
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:2020-10-30T16:09:55.464Z: 
JOB_MESSAGE_DETAILED: Resized **** pool to 1, though goal was 5.  This could be 
a quota issue.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T16:10:14.870Z: 
JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T16:10:14.906Z: 
JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T16:10:16.450Z: 
JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 2 so that the 
pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T16:10:16.485Z: 
JOB_MESSAGE_DETAILED: Resized **** pool to 2, though goal was 5.  This could be 
a quota issue.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T16:10:21.788Z: 
JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 3 so that the 
pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T16:10:21.818Z: 
JOB_MESSAGE_DETAILED: Resized **** pool to 3, though goal was 5.  This could be 
a quota issue.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T16:11:14.505Z: 
JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 4 so that the 
pipeline can catch up with its backlog and keep up with its input rate.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T16:11:14.543Z: 
JOB_MESSAGE_DETAILED: Resized **** pool to 4, though goal was 5.  This could be 
a quota issue.
INFO:apache_beam.runners.dataflow.dataflow_runner:2020-10-30T16:11:51.480Z: 
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.
WARNING:apache_beam.runners.dataflow.dataflow_runner:Timing out on waiting for 
job 2020-10-30_09_06_24-2418369716365089537 after 601 seconds
ERROR:apache_beam.io.gcp.tests.pubsub_matcher:Timeout after 900 sec. Received 0 
messages from 
projects/apache-beam-testing/subscriptions/pubsub_io_performance_1f50da5d-387c-40a6-8f4b-81a23023f79b_read_matcher.
Traceback (most recent call last):
Worker logs: 
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-10-30_08_50_45-16721455623439909432?project=apache-beam-testing
Worker logs: 
https://console.cloud.google.com/dataflow/jobs/us-central1/2020-10-30_09_06_24-2418369716365089537?project=apache-beam-testing
  File "/usr/lib/python3.7/runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "/usr/lib/python3.7/runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File 
"<https://ci-beam.apache.org/job/beam_PerformanceTests_PubsubIOIT_Python_Streaming/ws/src/sdks/python/apache_beam/io/gcp/pubsub_io_perf_test.py";,>
 line 225, in <module>
    PubsubReadPerfTest().run()
  File 
"<https://ci-beam.apache.org/job/beam_PerformanceTests_PubsubIOIT_Python_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py";,>
 line 150, in run
    self.result = self.pipeline.run()
  File 
"<https://ci-beam.apache.org/job/beam_PerformanceTests_PubsubIOIT_Python_Streaming/ws/src/sdks/python/apache_beam/testing/test_pipeline.py";,>
 line 112, in run
    False if self.not_use_test_runner_api else test_runner_api))
  File 
"<https://ci-beam.apache.org/job/beam_PerformanceTests_PubsubIOIT_Python_Streaming/ws/src/sdks/python/apache_beam/pipeline.py";,>
 line 547, in run
    return self.runner.run_pipeline(self, self._options)
  File 
"<https://ci-beam.apache.org/job/beam_PerformanceTests_PubsubIOIT_Python_Streaming/ws/src/sdks/python/apache_beam/runners/dataflow/test_dataflow_runner.py";,>
 line 72, in run_pipeline
    hc_assert_that(self.result, pickler.loads(on_success_matcher))
  File 
"<https://ci-beam.apache.org/job/beam_PerformanceTests_PubsubIOIT_Python_Streaming/ws/src/build/gradleenv/1329484227/lib/python3.7/site-packages/hamcrest/core/assert_that.py";,>
 line 44, in assert_that
    _assert_match(actual=arg1, matcher=arg2, reason=arg3)
  File 
"<https://ci-beam.apache.org/job/beam_PerformanceTests_PubsubIOIT_Python_Streaming/ws/src/build/gradleenv/1329484227/lib/python3.7/site-packages/hamcrest/core/assert_that.py";,>
 line 60, in _assert_match
    raise AssertionError(description)
AssertionError: 
Expected: (Expected 1 messages.)
     but: Expected 1 messages. Got 0 messages. Diffs (item, count):
  Expected but not in actual: dict_items([(b'2097152', 1)])
  Unexpected: dict_items([])


> Task :sdks:python:apache_beam:testing:load_tests:run FAILED

FAILURE: Build failed with an exception.

* Where:
Build file 
'<https://ci-beam.apache.org/job/beam_PerformanceTests_PubsubIOIT_Python_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'>
 line: 58

* What went wrong:
Execution failed for task ':sdks:python:apache_beam:testing:load_tests:run'.
> error occurred

* 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

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/6.6.1/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 45m 9s
64 actionable tasks: 42 executed, 22 from cache

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

Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure

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