See 
<https://ci-beam.apache.org/job/beam_PerformanceTests_PubsubIOIT_Python_Streaming/525/display/redirect>

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atomicwrites, websocket-client, typing-inspect, requests-oauthlib, pyyaml, 
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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_PerformanceTests_PubsubIOIT_Python_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:2.35.0.dev
INFO:root:Using provided Python SDK container image: 
gcr.io/cloud-dataflow/v1beta3/python37-fnapi:beam-master-20211015
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.
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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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WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: 
['--pubsub_namespace_prefix=pubsub_io_performance_']
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: 
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INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
 clientRequestId: '20211115155033526210-2442'
 createTime: '2021-11-15T15:50:39.066331Z'
 currentStateTime: '1970-01-01T00:00:00Z'
 id: '2021-11-15_07_50_37-13013965197382935610'
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INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: 
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INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 
2021-11-15_07_50_37-13013965197382935610
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow 
monitoring console, please navigate to 
https://console.cloud.google.com/dataflow/jobs/us-central1/2021-11-15_07_50_37-13013965197382935610?project=apache-beam-testing
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2021-11-15_07_50_37-13013965197382935610 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-11-15T15:50:47.024Z: 
JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-a.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-11-15T15:50:47.884Z: 
JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable 
parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-11-15T15:50:47.918Z: 
JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into 
optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-11-15T15:50:48.001Z: 
JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-11-15T15:50:48.048Z: 
JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into 
optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-11-15T15:50:48.079Z: 
JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write 
steps
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-11-15T15:50:48.126Z: 
JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into 
MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-11-15T15:50:48.162Z: 
JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-11-15T15:50:48.219Z: 
JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-11-15T15:50:48.248Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Create input/Map(<lambda at 
iobase.py:898>) into Create input/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-11-15T15:50:48.284Z: 
JOB_MESSAGE_DETAILED: Fusing consumer 
ref_AppliedPTransform_Create-input-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction
 into Create input/Map(<lambda at iobase.py:898>)
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-11-15T15:50:48.322Z: 
JOB_MESSAGE_DETAILED: Fusing consumer 
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ref_AppliedPTransform_Create-input-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-11-15T15:50:48.374Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Format to pubsub message in bytes into 
ref_AppliedPTransform_Create-input-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/ProcessElementAndRestrictionWithSizing
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-11-15T15:50:48.403Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Measure time into Format to pubsub 
message in bytes
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-11-15T15:50:48.436Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Write to Pubsub/ToProtobuf into Measure 
time
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-11-15T15:50:48.468Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Write to Pubsub/Write into Write to 
Pubsub/ToProtobuf
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-11-15T15:50:48.567Z: 
JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-11-15T15:50:48.617Z: 
JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-11-15T15:50:48.642Z: 
JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-11-15T15:50:48.670Z: 
JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-11-15T15:50:48.734Z: 
JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-11-15T15:50:48.755Z: 
JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-a...
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JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-11-15T15:51:07.917Z: 
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:2021-11-15T15:52:03.525Z: 
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:2021-11-15T15:52:03.543Z: 
JOB_MESSAGE_DETAILED: Resized **** pool to 2, though goal was 5.  This could be 
a quota issue.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-11-15T15:52:13.807Z: 
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:2021-11-15T15:52:13.841Z: 
JOB_MESSAGE_DETAILED: Resized **** pool to 3, though goal was 5.  This could be 
a quota issue.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-11-15T15:52:26.918Z: 
JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-11-15T15:52:26.956Z: 
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INFO:apache_beam.runners.dataflow.dataflow_runner:2021-11-15T15:52:44.584Z: 
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:2021-11-15T15:52:44.607Z: 
JOB_MESSAGE_DETAILED: Resized **** pool to 4, though goal was 5.  This could be 
a quota issue.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-11-15T15:53:15.311Z: 
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 2021-11-15_07_50_37-13013965197382935610 after 603 seconds
INFO:apache_beam.testing.load_tests.load_test_metrics_utils:Load test results 
for test: 9c09b5c00cf742ae83260c2535ecfcae and timestamp: 1636992221.3765748:
INFO:apache_beam.testing.load_tests.load_test_metrics_utils:Metric: 
pubsub_io_perf_write_runtime Value: 62
INFO:apache_beam.runners.portability.stager:Copying Beam SDK 
"<https://ci-beam.apache.org/job/beam_PerformanceTests_PubsubIOIT_Python_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:2.35.0.dev
INFO:root:Using provided Python SDK container image: 
gcr.io/cloud-dataflow/v1beta3/python37-fnapi:beam-master-20211015
INFO:root:Python SDK container image set to 
"gcr.io/cloud-dataflow/v1beta3/python37-fnapi:beam-master-20211015" 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.runners.dataflow.internal.apiclient:Starting GCS upload to 
gs://temp-storage-for-perf-tests/loadtests/performance-tests-psio-python-2gb1115150437.1636992227.439825/pickled_main_session...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to 
gs://temp-storage-for-perf-tests/loadtests/performance-tests-psio-python-2gb1115150437.1636992227.439825/pickled_main_session
 in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to 
gs://temp-storage-for-perf-tests/loadtests/performance-tests-psio-python-2gb1115150437.1636992227.439825/dataflow_python_sdk.tar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to 
gs://temp-storage-for-perf-tests/loadtests/performance-tests-psio-python-2gb1115150437.1636992227.439825/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/performance-tests-psio-python-2gb1115150437.1636992227.439825/dataflow-****.jar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to 
gs://temp-storage-for-perf-tests/loadtests/performance-tests-psio-python-2gb1115150437.1636992227.439825/dataflow-****.jar
 in 4 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to 
gs://temp-storage-for-perf-tests/loadtests/performance-tests-psio-python-2gb1115150437.1636992227.439825/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to 
gs://temp-storage-for-perf-tests/loadtests/performance-tests-psio-python-2gb1115150437.1636992227.439825/pipeline.pb
 in 0 seconds.
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: 
['--pubsub_namespace_prefix=pubsub_io_performance_']
WARNING:apache_beam.options.pipeline_options:Discarding unparseable args: 
['--pubsub_namespace_prefix=pubsub_io_performance_']
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
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 currentStateTime: '1970-01-01T00:00:00Z'
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INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: 
[2021-11-15_08_03_52-9714960048084435328]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 
2021-11-15_08_03_52-9714960048084435328
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow 
monitoring console, please navigate to 
https://console.cloud.google.com/dataflow/jobs/us-central1/2021-11-15_08_03_52-9714960048084435328?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 
2021-11-15_08_03_52-9714960048084435328 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-11-15T16:04:02.802Z: 
JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-a.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-11-15T16:04:03.923Z: 
JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable 
parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-11-15T16:04:03.949Z: 
JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into 
optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-11-15T16:04:04.019Z: 
JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-11-15T16:04:04.095Z: 
JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into 
optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-11-15T16:04:04.124Z: 
JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write 
steps
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-11-15T16:04:04.186Z: 
JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into 
MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-11-15T16:04:04.262Z: 
JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-11-15T16:04:04.310Z: 
JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-11-15T16:04:04.342Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Read from pubsub/Map(_from_proto_str) 
into Read from pubsub/Read
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-11-15T16:04:04.365Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Map(<lambda at 
pubsub_io_perf_test.py:171>) into Read from pubsub/Map(_from_proto_str)
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-11-15T16:04:04.389Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Measure time into Map(<lambda at 
pubsub_io_perf_test.py:171>)
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-11-15T16:04:04.420Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Window into Measure time
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-11-15T16:04:04.456Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Count messages/KeyWithVoid into Window
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-11-15T16:04:04.493Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Count 
messages/CombinePerKey/Combine/ConvertToAccumulators into Count 
messages/KeyWithVoid
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-11-15T16:04:04.519Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Count 
messages/CombinePerKey/GroupByKey/WriteStream into Count 
messages/CombinePerKey/Combine/ConvertToAccumulators
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-11-15T16:04:04.550Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Count messages/CombinePerKey/Combine into 
Count messages/CombinePerKey/GroupByKey/ReadStream
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-11-15T16:04:04.583Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Count 
messages/CombinePerKey/Combine/Extract into Count messages/CombinePerKey/Combine
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-11-15T16:04:04.615Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Count messages/UnKey into Count 
messages/CombinePerKey/Combine/Extract
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-11-15T16:04:04.855Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Convert to bytes into Count messages/UnKey
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-11-15T16:04:04.889Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Write to Pubsub/ToProtobuf into Convert 
to bytes
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-11-15T16:04:04.921Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Write to Pubsub/Write into Write to 
Pubsub/ToProtobuf
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-11-15T16:04:04.962Z: 
JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-11-15T16:04:04.998Z: 
JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-11-15T16:04:05.022Z: 
JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-11-15T16:04:05.058Z: 
JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-11-15T16:04:05.108Z: 
JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-11-15T16:04:05.138Z: 
JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-a...
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-11-15T16:04:05.177Z: 
JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-11-15T16:04:29.823Z: 
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:2021-11-15T16:04:50.339Z: 
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:2021-11-15T16:04:50.371Z: 
JOB_MESSAGE_DETAILED: Resized **** pool to 2, though goal was 5.  This could be 
a quota issue.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-11-15T16:05:00.613Z: 
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:2021-11-15T16:05:29.713Z: 
JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-11-15T16:05:29.734Z: 
JOB_MESSAGE_DETAILED: Workers have started successfully.
WARNING:apache_beam.runners.dataflow.dataflow_runner:Timing out on waiting for 
job 2021-11-15_08_03_52-9714960048084435328 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_ee19cb24-e3d1-4675-90ca-6418fb983532_read_matcher.
Traceback (most recent call last):
Worker logs: 
https://console.cloud.google.com/dataflow/jobs/us-central1/2021-11-15_07_50_37-13013965197382935610?project=apache-beam-testing
Worker logs: 
https://console.cloud.google.com/dataflow/jobs/us-central1/2021-11-15_08_03_52-9714960048084435328?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 223, 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 149, 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 114, 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 573, 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 68, 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/6.9.1/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 42m 22s
83 actionable tasks: 53 executed, 30 from cache

Publishing build scan...
https://gradle.com/s/b6p3ldmwd6atc

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

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