See 
<https://ci-beam.apache.org/job/beam_PerformanceTests_PubsubIOIT_Python_Streaming/337/display/redirect?page=changes>

Changes:

[daniel.o.programmer] Revert "Resolve beam_fn_api experiment for side inputs, 
using portable

[samuelw] [BEAM-12254] Change nexmark UnboundedEventSource to always calculate

[Alan Myrvold] [BEAM-10912] Increase Jenkins job logs retention from 14 to 30 
days

[aromanenko.dev] [BEAM-12271] Make max width for code snippets adaptive with 
text blocks

[Brian Hulette] Allow attaching Singleton reason to NonParallelOperation

[Brian Hulette] Add reason to most Singleton requirements

[Brian Hulette] fillna(axis='index', limit=) is order-sensitive

[Brian Hulette] quantile(axis=columns) is parallelizable

[Brian Hulette] shift(axis=index) is order-sensitive

[samuelw] [BEAM-12253] Change Read.UnboundedSourceAsSDFRestrictionTracker to use

[noreply] Fix lint breakage from Merge pull request #13617 from [BEAM-11289]

[Pablo Estrada] Revert "Merge pull request #13617 from [BEAM-11289] [Python] 
Integrate

[Pablo Estrada] Revert type: ignore caused by PR 13617

[noreply] [BEAM-12029] Clarify the few remaining ambiguous WontImplementErrors


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Building wheels for collected packages: apache-beam
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Successfully built apache-beam
Installing collected packages: pyasn1, urllib3, rsa, pycparser, pyasn1-modules, 
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isodate, httplib2, grpcio-gcp, google-crc32c, google-api-core, docopt, 
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google-cloud-bigtable, google-cloud-bigquery, google-apitools, freezegun, 
boto3, azure-storage-blob, apache-beam
Successfully installed apache-beam-2.31.0.dev0 apipkg-1.5 atomicwrites-1.4.0 
attrs-20.3.0 avro-python3-1.9.2.1 azure-core-1.13.0 azure-storage-blob-12.8.1 
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nose-xunitmp-0.4.1 numpy-1.20.2 oauth2client-4.1.3 oauthlib-3.1.0 pandas-1.2.4 
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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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 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 
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INFO:root:Using provided Python SDK container image: 
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INFO:root:Python SDK container image set to 
"gcr.io/cloud-dataflow/v1beta3/python37-fnapi:beam-master-20210331" 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.
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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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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
 createTime: '2021-05-04T15:50:41.744150Z'
 currentStateTime: '1970-01-01T00:00:00Z'
 id: '2021-05-04_08_50_40-4968126866604336725'
 location: 'us-central1'
 name: 'performance-tests-psio-python-2gb0504150459'
 projectId: 'apache-beam-testing'
 stageStates: []
 startTime: '2021-05-04T15:50:41.744150Z'
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 tempFiles: []
 type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: 
[2021-05-04_08_50_40-4968126866604336725]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 
2021-05-04_08_50_40-4968126866604336725
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow 
monitoring console, please navigate to 
https://console.cloud.google.com/dataflow/jobs/us-central1/2021-05-04_08_50_40-4968126866604336725?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 
2021-05-04_08_50_40-4968126866604336725 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-04T15:50:40.557Z: 
JOB_MESSAGE_BASIC: Streaming Engine auto-enabled. Use 
--experiments=disable_streaming_engine to opt out.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-04T15:50:40.557Z: 
JOB_MESSAGE_BASIC: Dataflow Runner V2 auto-enabled. Use 
--experiments=disable_runner_v2 to opt out.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-04T15:50:45.798Z: 
JOB_MESSAGE_BASIC: Worker configuration: n1-standard-2 in us-central1-f.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-04T15:50:46.559Z: 
JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable 
parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-04T15:50:46.591Z: 
JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into 
optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-04T15:50:46.668Z: 
JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-04T15:50:46.702Z: 
JOB_MESSAGE_DEBUG: Combiner lifting skipped for step Create 
input/Reshuffle/ReshufflePerKey/GroupByKey: GroupByKey not followed by a 
combiner.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-04T15:50:46.736Z: 
JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into 
optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-04T15:50:46.764Z: 
JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write 
steps
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-04T15:50:46.852Z: 
JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into 
MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-04T15:50:46.920Z: 
JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-04T15:50:46.956Z: 
JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-04T15:50:46.984Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Create input/Split into Create 
input/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-04T15:50:47.017Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Create input/Reshuffle/AddRandomKeys into 
Create input/Split
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-04T15:50:47.069Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Create 
input/Reshuffle/ReshufflePerKey/Map(reify_timestamps) into Create 
input/Reshuffle/AddRandomKeys
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-04T15:50:47.105Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Create 
input/Reshuffle/ReshufflePerKey/GroupByKey/WriteStream into Create 
input/Reshuffle/ReshufflePerKey/Map(reify_timestamps)
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-04T15:50:47.150Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Create 
input/Reshuffle/ReshufflePerKey/GroupByKey/MergeBuckets into Create 
input/Reshuffle/ReshufflePerKey/GroupByKey/ReadStream
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-04T15:50:47.173Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Create 
input/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps) into Create 
input/Reshuffle/ReshufflePerKey/GroupByKey/MergeBuckets
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-04T15:50:47.199Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Create input/Reshuffle/RemoveRandomKeys 
into Create input/Reshuffle/ReshufflePerKey/FlatMap(restore_timestamps)
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-04T15:50:47.233Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Create input/ReadSplits into Create 
input/Reshuffle/RemoveRandomKeys
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-04T15:50:47.261Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Format to pubsub message in bytes into 
Create input/ReadSplits
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-04T15:50:47.293Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Measure time into Format to pubsub 
message in bytes
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-04T15:50:47.317Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Write to Pubsub/ToProtobuf into Measure 
time
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-04T15:50:47.347Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Write to Pubsub/Write/NativeWrite into 
Write to Pubsub/ToProtobuf
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-04T15:50:47.408Z: 
JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-04T15:50:47.440Z: 
JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-04T15:50:47.471Z: 
JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-04T15:50:47.507Z: 
JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-04T15:50:47.564Z: 
JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-04T15:50:47.593Z: 
JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-f...
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-04T15:50:47.629Z: 
JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-04T15:51:23.719Z: 
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:2021-05-04T15:51:39.691Z: 
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:2021-05-04T15:51:39.751Z: 
JOB_MESSAGE_DETAILED: Resized **** pool to 4, though goal was 5.  This could be 
a quota issue.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-04T15:51:50.089Z: 
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:2021-05-04T15:52:17.529Z: 
JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-04T15:52:17.555Z: 
JOB_MESSAGE_DETAILED: Workers have started successfully.
WARNING:apache_beam.runners.dataflow.dataflow_runner:Timing out on waiting for 
job 2021-05-04_08_50_40-4968126866604336725 after 604 seconds
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:2.31.0.dev
INFO:root:Using provided Python SDK container image: 
gcr.io/cloud-dataflow/v1beta3/python37-fnapi:beam-master-20210331
INFO:root:Python SDK container image set to 
"gcr.io/cloud-dataflow/v1beta3/python37-fnapi:beam-master-20210331" 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-2gb0504150459.1620144126.232566/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-2gb0504150459.1620144126.232566/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 
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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-2gb0504150459.1620144126.232566/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to 
gs://temp-storage-for-perf-tests/loadtests/performance-tests-psio-python-2gb0504150459.1620144126.232566/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
 createTime: '2021-05-04T16:02:15.356626Z'
 currentStateTime: '1970-01-01T00:00:00Z'
 id: '2021-05-04_09_02_13-3540361884206725636'
 location: 'us-central1'
 name: 'performance-tests-psio-python-2gb0504150459'
 projectId: 'apache-beam-testing'
 stageStates: []
 startTime: '2021-05-04T16:02:15.356626Z'
 steps: []
 tempFiles: []
 type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: 
[2021-05-04_09_02_13-3540361884206725636]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 
2021-05-04_09_02_13-3540361884206725636
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow 
monitoring console, please navigate to 
https://console.cloud.google.com/dataflow/jobs/us-central1/2021-05-04_09_02_13-3540361884206725636?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 
2021-05-04_09_02_13-3540361884206725636 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-04T16:02:13.943Z: 
JOB_MESSAGE_BASIC: Dataflow Runner V2 auto-enabled. Use 
--experiments=disable_runner_v2 to opt out.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-04T16:02:13.943Z: 
JOB_MESSAGE_BASIC: Streaming Engine auto-enabled. Use 
--experiments=disable_streaming_engine to opt out.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-04T16:02:19.612Z: 
JOB_MESSAGE_BASIC: Worker configuration: n1-standard-2 in us-central1-f.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-04T16:02:20.454Z: 
JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable 
parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-04T16:02:20.486Z: 
JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into 
optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-04T16:02:20.555Z: 
JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-04T16:02:20.626Z: 
JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into 
optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-04T16:02:20.658Z: 
JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write 
steps
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-04T16:02:20.718Z: 
JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into 
MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-04T16:02:20.799Z: 
JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-04T16:02:20.838Z: 
JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-04T16:02:20.869Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Read from pubsub/Map(_from_proto_str) 
into Read from pubsub/Read
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-04T16:02:20.903Z: 
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:2021-05-04T16:02:20.936Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Measure time into Map(<lambda at 
pubsub_io_perf_test.py:171>)
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-04T16:02:20.971Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Window into Measure time
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-04T16:02:21.007Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Count messages/KeyWithVoid into Window
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-04T16:02:21.035Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Count 
messages/CombinePerKey/Combine/ConvertToAccumulators into Count 
messages/KeyWithVoid
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-04T16:02:21.074Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Count 
messages/CombinePerKey/GroupByKey/WriteStream into Count 
messages/CombinePerKey/Combine/ConvertToAccumulators
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-04T16:02:21.113Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Count messages/CombinePerKey/Combine into 
Count messages/CombinePerKey/GroupByKey/ReadStream
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-04T16:02:21.145Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Count 
messages/CombinePerKey/Combine/Extract into Count messages/CombinePerKey/Combine
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-04T16:02:21.202Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Count messages/UnKey into Count 
messages/CombinePerKey/Combine/Extract
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-04T16:02:21.230Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Convert to bytes into Count messages/UnKey
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-04T16:02:21.255Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Write to Pubsub/ToProtobuf into Convert 
to bytes
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-04T16:02:21.289Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Write to Pubsub/Write/NativeWrite into 
Write to Pubsub/ToProtobuf
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-04T16:02:21.342Z: 
JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-04T16:02:21.365Z: 
JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-04T16:02:21.389Z: 
JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-04T16:02:21.411Z: 
JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-04T16:02:21.460Z: 
JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-04T16:02:21.494Z: 
JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-f...
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-04T16:02:21.537Z: 
JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-04T16:02:40.109Z: 
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:2021-05-04T16:03:00.694Z: 
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:2021-05-04T16:03:38.527Z: 
JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2021-05-04T16:03:38.564Z: 
JOB_MESSAGE_DETAILED: Workers have started successfully.
WARNING:apache_beam.runners.dataflow.dataflow_runner:Timing out on waiting for 
job 2021-05-04_09_02_13-3540361884206725636 after 604 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_9c51cd3f-fb44-499d-91bb-f1f1cc71a9d0_read_matcher.
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 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 110, in run
    False if self.not_use_test_runner_api else test_runner_api))
Worker logs: 
https://console.cloud.google.com/dataflow/jobs/us-central1/2021-05-04_08_50_40-4968126866604336725?project=apache-beam-testing
  File 
"<https://ci-beam.apache.org/job/beam_PerformanceTests_PubsubIOIT_Python_Streaming/ws/src/sdks/python/apache_beam/pipeline.py";,>
 line 561, in run
Worker logs: 
https://console.cloud.google.com/dataflow/jobs/us-central1/2021-05-04_09_02_13-3540361884206725636?project=apache-beam-testing
    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 69, 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/6.8.3/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 39m 20s
80 actionable tasks: 51 executed, 29 from cache

Publishing build scan...
https://gradle.com/s/y6unkvjpqayng

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

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