See 
<https://ci-beam.apache.org/job/beam_PerformanceTests_PubsubIOIT_Python_Streaming/664/display/redirect>

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greenlet, googleapis-common-protos, google-crc32c, fasteners, fastavro, 
execnet, dill, cloudpickle, charset-normalizer, cachetools, attrs, 
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mock, httplib2, grpcio-status, grpcio-gcp, google-resumable-media, google-auth, 
freezegun, cffi, botocore, s3transfer, requests-oauthlib, requests_mock, 
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google-cloud-dlp, google-cloud-datastore, google-cloud-bigtable, 
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azure-core-1.23.1 azure-storage-blob-12.11.0 boto3-1.21.32 botocore-1.24.32 
cachetools-4.2.4 certifi-2021.10.8 cffi-1.15.0 charset-normalizer-2.0.12 
cloudpickle-2.0.0 crcmod-1.7 cryptography-36.0.2 deprecation-2.1.0 dill-0.3.1.1 
docker-5.0.3 docopt-0.6.2 execnet-1.9.0 fastavro-1.4.10 fasteners-0.17.3 
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google-cloud-core-1.7.2 google-cloud-datastore-1.15.3 google-cloud-dlp-3.6.2 
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requests-2.27.1 requests-oauthlib-1.3.1 requests_mock-1.9.3 rsa-4.8 
s3transfer-0.5.2 sqlalchemy-1.4.34 tenacity-5.1.5 testcontainers-3.5.2 
typing-extensions-4.1.1 typing-utils-0.1.0 urllib3-1.26.9 wcwidth-0.2.5 
websocket-client-1.3.2 wrapt-1.14.0

> 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-20220208
INFO:root:Python SDK container image set to 
"gcr.io/cloud-dataflow/v1beta3/python37-fnapi:beam-master-20220208" 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-2gb0404150543.1649087431.719604/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-2gb0404150543.1649087431.719604/pickled_main_session
 in 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 
gs://temp-storage-for-perf-tests/loadtests/performance-tests-psio-python-2gb0404150543.1649087431.719604/dataflow_python_sdk.tar
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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-2gb0404150543.1649087431.719604/dataflow-****.jar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to 
gs://temp-storage-for-perf-tests/loadtests/performance-tests-psio-python-2gb0404150543.1649087431.719604/dataflow-****.jar
 in 6 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to 
gs://temp-storage-for-perf-tests/loadtests/performance-tests-psio-python-2gb0404150543.1649087431.719604/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to 
gs://temp-storage-for-perf-tests/loadtests/performance-tests-psio-python-2gb0404150543.1649087431.719604/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: '20220404155031720560-5310'
 createTime: '2022-04-04T15:50:39.612948Z'
 currentStateTime: '1970-01-01T00:00:00Z'
 id: '2022-04-04_08_50_39-12155189229686329970'
 location: 'us-central1'
 name: 'performance-tests-psio-python-2gb0404150543'
 projectId: 'apache-beam-testing'
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 startTime: '2022-04-04T15:50:39.612948Z'
 steps: []
 tempFiles: []
 type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: 
[2022-04-04_08_50_39-12155189229686329970]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 
2022-04-04_08_50_39-12155189229686329970
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow 
monitoring console, please navigate to 
https://console.cloud.google.com/dataflow/jobs/us-central1/2022-04-04_08_50_39-12155189229686329970?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 
2022-04-04_08_50_39-12155189229686329970 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-04T15:50:43.533Z: 
JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-04T15:50:44.815Z: 
JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable 
parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-04T15:50:44.852Z: 
JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into 
optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-04T15:50:44.905Z: 
JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-04T15:50:44.940Z: 
JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into 
optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-04T15:50:44.962Z: 
JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write 
steps
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-04T15:50:44.983Z: 
JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into 
MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-04T15:50:45.004Z: 
JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-04T15:50:45.046Z: 
JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-04T15:50:45.075Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Create input/Map(<lambda at 
iobase.py:898>) into Create input/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-04T15:50:45.103Z: 
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:2022-04-04T15:50:45.131Z: 
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:2022-04-04T15:50:45.190Z: 
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:2022-04-04T15:50:45.225Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Measure time into Format to pubsub 
message in bytes
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-04T15:50:45.258Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Write to Pubsub/ToProtobuf into Measure 
time
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-04T15:50:45.291Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Write to Pubsub/Write into Write to 
Pubsub/ToProtobuf
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-04T15:50:45.416Z: 
JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-04T15:50:45.448Z: 
JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-04T15:50:45.481Z: 
JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-04T15:50:45.514Z: 
JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-04T15:50:45.537Z: 
JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-04T15:50:45.594Z: 
JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-04T15:50:45.631Z: 
JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-04T15:50:45.678Z: 
JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-04T15:51:18.936Z: 
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:2022-04-04T15:51:19.518Z: 
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:2022-04-04T15:51:19.538Z: 
JOB_MESSAGE_DETAILED: Resized **** pool to 3, though goal was 5.  This could be 
a quota issue.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-04T15:51:29.732Z: 
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:2022-04-04T15:51:53.386Z: 
JOB_MESSAGE_DETAILED: Workers have started successfully.
WARNING:apache_beam.runners.dataflow.dataflow_runner:Timing out on waiting for 
job 2022-04-04_08_50_39-12155189229686329970 after 605 seconds
INFO:apache_beam.testing.load_tests.load_test_metrics_utils:Load test results 
for test: 486c6265e7744882bcb97f1d7151b22c and timestamp: 1649088216.9733398:
INFO:apache_beam.testing.load_tests.load_test_metrics_utils:Metric: 
pubsub_io_perf_write_runtime Value: 102
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-20220208
INFO:root:Python SDK container image set to 
"gcr.io/cloud-dataflow/v1beta3/python37-fnapi:beam-master-20220208" 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-2gb0404150543.1649088220.871698/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-2gb0404150543.1649088220.871698/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-2gb0404150543.1649088220.871698/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-2gb0404150543.1649088220.871698/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-2gb0404150543.1649088220.871698/dataflow-****.jar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to 
gs://temp-storage-for-perf-tests/loadtests/performance-tests-psio-python-2gb0404150543.1649088220.871698/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-2gb0404150543.1649088220.871698/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to 
gs://temp-storage-for-perf-tests/loadtests/performance-tests-psio-python-2gb0404150543.1649088220.871698/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: '20220404160340872588-2382'
 createTime: '2022-04-04T16:03:47.627415Z'
 currentStateTime: '1970-01-01T00:00:00Z'
 id: '2022-04-04_09_03_46-10844960694172558554'
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INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: 
[2022-04-04_09_03_46-10844960694172558554]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 
2022-04-04_09_03_46-10844960694172558554
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow 
monitoring console, please navigate to 
https://console.cloud.google.com/dataflow/jobs/us-central1/2022-04-04_09_03_46-10844960694172558554?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 
2022-04-04_09_03_46-10844960694172558554 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-04T16:03:52.889Z: 
JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-04T16:03:53.647Z: 
JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable 
parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-04T16:03:53.671Z: 
JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into 
optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-04T16:03:53.731Z: 
JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-04T16:03:53.792Z: 
JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into 
optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-04T16:03:53.821Z: 
JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write 
steps
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-04T16:03:53.917Z: 
JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into 
MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-04T16:03:53.965Z: 
JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-04T16:03:54.016Z: 
JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-04T16:03:54.045Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Read from pubsub/Map(_from_proto_str) 
into Read from pubsub/Read
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-04T16:03:54.077Z: 
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:2022-04-04T16:03:54.110Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Measure time into Map(<lambda at 
pubsub_io_perf_test.py:171>)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-04T16:03:54.133Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Window into Measure time
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-04T16:03:54.155Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Count messages/KeyWithVoid into Window
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-04T16:03:54.181Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Count 
messages/CombinePerKey/Combine/ConvertToAccumulators into Count 
messages/KeyWithVoid
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-04T16:03:54.213Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Count 
messages/CombinePerKey/GroupByKey/WriteStream into Count 
messages/CombinePerKey/Combine/ConvertToAccumulators
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-04T16:03:54.245Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Count messages/CombinePerKey/Combine into 
Count messages/CombinePerKey/GroupByKey/ReadStream
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-04T16:03:54.284Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Count 
messages/CombinePerKey/Combine/Extract into Count messages/CombinePerKey/Combine
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-04T16:03:54.319Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Count messages/UnKey into Count 
messages/CombinePerKey/Combine/Extract
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-04T16:03:54.350Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Convert to bytes into Count messages/UnKey
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-04T16:03:54.384Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Write to Pubsub/ToProtobuf into Convert 
to bytes
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-04T16:03:54.418Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Write to Pubsub/Write into Write to 
Pubsub/ToProtobuf
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-04T16:03:54.453Z: 
JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-04T16:03:54.474Z: 
JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-04T16:03:54.501Z: 
JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-04T16:03:54.538Z: 
JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-04T16:03:54.572Z: 
JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-04T16:03:54.613Z: 
JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-04T16:03:54.635Z: 
JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-04T16:03:54.677Z: 
JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-04T16:04:08.710Z: 
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:2022-04-04T16:04:25.230Z: 
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:2022-04-04T16:04:25.247Z: 
JOB_MESSAGE_DETAILED: Resized **** pool to 1, though goal was 5.  This could be 
a quota issue.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-04-04T16:04:35.478Z: 
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:2022-04-04T16:05:00.003Z: 
JOB_MESSAGE_DETAILED: Workers have started successfully.
WARNING:apache_beam.runners.dataflow.dataflow_runner:Timing out on waiting for 
job 2022-04-04_09_03_46-10844960694172558554 after 604 seconds
INFO:apache_beam.testing.load_tests.load_test_metrics_utils:Load test results 
for test: e353fda9025d4b5fb11787dd6f257286 and timestamp: 1649089122.3941875:
INFO:apache_beam.testing.load_tests.load_test_metrics_utils:Metric: 
pubsub_io_perf_read_runtime Value: 253
INFO:apache_beam.testing.load_tests.load_test_metrics_utils:Load test results 
for test: e353fda9025d4b5fb11787dd6f257286 and timestamp: 1649089122.3941875:
INFO:apache_beam.testing.load_tests.load_test_metrics_utils:Metric: 
pubsub_io_perf_read_runtime Value: 253
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)
  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 960, in delete_subscription
    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__
Worker logs: 
https://console.cloud.google.com/dataflow/jobs/us-central1/2022-04-04_08_50_39-12155189229686329970?project=apache-beam-testing
Worker logs: 
https://console.cloud.google.com/dataflow/jobs/us-central1/2022-04-04_09_03_46-10844960694172558554?project=apache-beam-testing
    % (self.__class__.__name__, mapping,)
TypeError: Invalid constructor input for DeleteSubscriptionRequest: 
'projects/apache-beam-testing/subscriptions/pubsub_io_performance_f5cbd081-9d14-4c4e-bff1-e2dfce2a28fa_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 29m 21s
92 actionable tasks: 57 executed, 33 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/5q5rr72fizs2y

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

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