See 
<https://ci-beam.apache.org/job/beam_PerformanceTests_PubsubIOIT_Python_Streaming/671/display/redirect>

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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:2.39.0.dev
INFO:root:Using provided Python SDK container image: 
gcr.io/cloud-dataflow/v1beta3/python37-fnapi:beam-master-20220407
INFO:root:Python SDK container image set to 
"gcr.io/cloud-dataflow/v1beta3/python37-fnapi:beam-master-20220407" 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.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/performance-tests-psio-python-2gb0411150533.1649692239.456186/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-2gb0411150533.1649692239.456186/pickled_main_session
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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:Starting GCS upload to 
gs://temp-storage-for-perf-tests/loadtests/performance-tests-psio-python-2gb0411150533.1649692239.456186/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to 
gs://temp-storage-for-perf-tests/loadtests/performance-tests-psio-python-2gb0411150533.1649692239.456186/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
 clientRequestId: '20220411155039457170-4956'
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INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: 
[2022-04-11_08_50_45-3037064181937316376]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 
2022-04-11_08_50_45-3037064181937316376
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow 
monitoring console, please navigate to 
https://console.cloud.google.com/dataflow/jobs/us-central1/2022-04-11_08_50_45-3037064181937316376?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 
2022-04-11_08_50_45-3037064181937316376 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-11T15:50:57.526Z: 
JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-11T15:51:00.303Z: 
JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable 
parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-11T15:51:00.333Z: 
JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into 
optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-11T15:51:00.404Z: 
JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-11T15:51:00.444Z: 
JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into 
optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-11T15:51:00.477Z: 
JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write 
steps
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-11T15:51:00.506Z: 
JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into 
MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-11T15:51:00.530Z: 
JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-11T15:51:00.562Z: 
JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-11T15:51:00.598Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Create input/Map(<lambda at 
iobase.py:898>) into Create input/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-11T15:51:00.630Z: 
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:2022-04-11T15:51:00.666Z: 
JOB_MESSAGE_DETAILED: Fusing consumer 
ref_AppliedPTransform_Create-input-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/SplitWithSizing
 into 
ref_AppliedPTransform_Create-input-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-11T15:51:00.699Z: 
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:2022-04-11T15:51:00.726Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Measure time into Format to pubsub 
message in bytes
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-11T15:51:00.757Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Write to Pubsub/ToProtobuf into Measure 
time
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-11T15:51:00.789Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Write to Pubsub/Write into Write to 
Pubsub/ToProtobuf
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-11T15:51:00.880Z: 
JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-11T15:51:00.911Z: 
JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-11T15:51:00.958Z: 
JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-11T15:51:00.990Z: 
JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-11T15:51:01.016Z: 
JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-11T15:51:01.078Z: 
JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-11T15:51:01.114Z: 
JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-11T15:51:01.179Z: 
JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-11T15:51:32.754Z: 
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:2022-04-11T15:51:32.787Z: 
JOB_MESSAGE_DETAILED: Resized **** pool to 2, though goal was 5.  This could be 
a quota issue.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-11T15:51:35.908Z: 
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:2022-04-11T15:51:43.188Z: 
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:2022-04-11T15:52:06.136Z: 
JOB_MESSAGE_DETAILED: Workers have started successfully.
WARNING:apache_beam.runners.dataflow.dataflow_runner:Timing out on waiting for 
job 2022-04-11_08_50_45-3037064181937316376 after 604 seconds
INFO:apache_beam.testing.load_tests.load_test_metrics_utils:Load test results 
for test: 8a48432880d2456c94042c3f37ad87f8 and timestamp: 1649692962.4810255:
INFO:apache_beam.testing.load_tests.load_test_metrics_utils:Metric: 
pubsub_io_perf_write_runtime Value: 241
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:2.39.0.dev
INFO:root:Using provided Python SDK container image: 
gcr.io/cloud-dataflow/v1beta3/python37-fnapi:beam-master-20220407
INFO:root:Python SDK container image set to 
"gcr.io/cloud-dataflow/v1beta3/python37-fnapi:beam-master-20220407" 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-2gb0411150533.1649692966.624122/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-2gb0411150533.1649692966.624122/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-2gb0411150533.1649692966.624122/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-2gb0411150533.1649692966.624122/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-2gb0411150533.1649692966.624122/dataflow-****.jar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to 
gs://temp-storage-for-perf-tests/loadtests/performance-tests-psio-python-2gb0411150533.1649692966.624122/dataflow-****.jar
 in 5 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to 
gs://temp-storage-for-perf-tests/loadtests/performance-tests-psio-python-2gb0411150533.1649692966.624122/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to 
gs://temp-storage-for-perf-tests/loadtests/performance-tests-psio-python-2gb0411150533.1649692966.624122/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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INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: 
[2022-04-11_09_02_52-1350288650734643885]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 
2022-04-11_09_02_52-1350288650734643885
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow 
monitoring console, please navigate to 
https://console.cloud.google.com/dataflow/jobs/us-central1/2022-04-11_09_02_52-1350288650734643885?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 
2022-04-11_09_02_52-1350288650734643885 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-11T16:02:58.432Z: 
JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-11T16:03:00.174Z: 
JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable 
parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-11T16:03:00.221Z: 
JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into 
optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-11T16:03:00.305Z: 
JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-11T16:03:00.375Z: 
JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into 
optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-11T16:03:00.403Z: 
JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write 
steps
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-11T16:03:00.468Z: 
JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into 
MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-11T16:03:00.534Z: 
JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-11T16:03:00.585Z: 
JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-11T16:03:00.619Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Read from pubsub/Map(_from_proto_str) 
into Read from pubsub/Read
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-11T16:03:00.660Z: 
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:2022-04-11T16:03:00.692Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Measure time into Map(<lambda at 
pubsub_io_perf_test.py:171>)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-11T16:03:00.724Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Window into Measure time
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-11T16:03:00.754Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Count messages/KeyWithVoid into Window
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-11T16:03:00.787Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Count 
messages/CombinePerKey/Combine/ConvertToAccumulators into Count 
messages/KeyWithVoid
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-11T16:03:00.841Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Count 
messages/CombinePerKey/GroupByKey/WriteStream into Count 
messages/CombinePerKey/Combine/ConvertToAccumulators
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-11T16:03:00.895Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Count messages/CombinePerKey/Combine into 
Count messages/CombinePerKey/GroupByKey/ReadStream
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-11T16:03:00.933Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Count 
messages/CombinePerKey/Combine/Extract into Count messages/CombinePerKey/Combine
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-11T16:03:00.967Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Count messages/UnKey into Count 
messages/CombinePerKey/Combine/Extract
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-11T16:03:01Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Convert to bytes into Count messages/UnKey
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-11T16:03:01.032Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Write to Pubsub/ToProtobuf into Convert 
to bytes
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-11T16:03:01.066Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Write to Pubsub/Write into Write to 
Pubsub/ToProtobuf
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-11T16:03:01.103Z: 
JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-11T16:03:01.143Z: 
JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-11T16:03:01.171Z: 
JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-11T16:03:01.203Z: 
JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-11T16:03:01.235Z: 
JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-11T16:03:01.290Z: 
JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-11T16:03:01.318Z: 
JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-11T16:03:01.388Z: 
JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-11T16:03:09.104Z: 
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:2022-04-11T16:03:46.207Z: 
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:2022-04-11T16:04:13.930Z: 
JOB_MESSAGE_DETAILED: Workers have started successfully.
WARNING:apache_beam.runners.dataflow.dataflow_runner:Timing out on waiting for 
job 2022-04-11_09_02_52-1350288650734643885 after 604 seconds
INFO:apache_beam.testing.load_tests.load_test_metrics_utils:Load test results 
for test: 1997222e97c54425ae29e2a9aa719b0b and timestamp: 1649693760.147334:
INFO:apache_beam.testing.load_tests.load_test_metrics_utils:Metric: 
pubsub_io_perf_read_runtime Value: 291
INFO:apache_beam.testing.load_tests.load_test_metrics_utils:Load test results 
for test: 1997222e97c54425ae29e2a9aa719b0b and timestamp: 1649693760.147334:
INFO:apache_beam.testing.load_tests.load_test_metrics_utils:Metric: 
pubsub_io_perf_read_runtime Value: 291
Traceback (most recent call last):
  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 154, in run
    self.cleanup()
  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 211, in cleanup
    self.sub_client.delete_subscription(self.read_sub_name)
Worker logs: 
https://console.cloud.google.com/dataflow/jobs/us-central1/2022-04-11_08_50_45-3037064181937316376?project=apache-beam-testing
  File 
"<https://ci-beam.apache.org/job/beam_PerformanceTests_PubsubIOIT_Python_Streaming/ws/src/build/gradleenv/1329484227/lib/python3.7/site-packages/google/pubsub_v1/services/subscriber/client.py";,>
 line 1018, in delete_subscription
Worker logs: 
https://console.cloud.google.com/dataflow/jobs/us-central1/2022-04-11_09_02_52-1350288650734643885?project=apache-beam-testing
    request = pubsub.DeleteSubscriptionRequest(request)
  File 
"<https://ci-beam.apache.org/job/beam_PerformanceTests_PubsubIOIT_Python_Streaming/ws/src/build/gradleenv/1329484227/lib/python3.7/site-packages/proto/message.py";,>
 line 522, in __init__
    % (self.__class__.__name__, mapping,)
TypeError: Invalid constructor input for DeleteSubscriptionRequest: 
'projects/apache-beam-testing/subscriptions/pubsub_io_performance_27430dfb-c522-4e8c-b409-ddad1549061e_read'

> 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 8.0.

You can use '--warning-mode all' to show the individual deprecation warnings 
and determine if they come from your own scripts or plugins.

See 
https://docs.gradle.org/7.3.2/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 26m 39s
92 actionable tasks: 57 executed, 33 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/l4hvctg4lcq6c

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

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