See 
<https://ci-beam.apache.org/job/beam_PerformanceTests_PubsubIOIT_Python_Streaming/910/display/redirect?page=changes>

Changes:

[noreply] Update nbconvert requirement in /sdks/python

[noreply] [CdapIO] Add readme for CdapIO. Update readme for SparkReceiverIO.

[Moritz Mack] [Spark Dataset runner] Add @Experimental and reduce visibility 
where

[noreply] Fix grafana dashboard id (#24524)

[noreply] [Spark runner] Support running (VR) tests with Java 17 (closes #24400)

[noreply] Replaced deprecated finalize with DoFn Teardown (#24516)

[noreply] Bump cloud.google.com/go/storage from 1.28.0 to 1.28.1 in /sdks 
(#24517)

[noreply] add clarifier to error message (#24449)

[noreply] Batch rename requests in fileio.WriteToFiles (#24341)

[noreply] Bump golang.org/x/text from 0.4.0 to 0.5.0 in /sdks (#24520)

[noreply] Support for JsonSchema in Kafka Read Schema Transform (#24272)

[noreply] Run go fmt over full go directory with go 1.19 (#24525)

[noreply] Cloudbuild+manualsetup+playground (#24144)

[noreply] Bump golang.org/x/sys from 0.2.0 to 0.3.0 in /sdks (#24519)

[noreply] Bump cloud.google.com/go/bigtable from 1.18.0 to 1.18.1 in /sdks

[noreply] Update from interface{} -> any for core packages (#24505)

[noreply] Implement FileWriteSchemaTransformConfiguration (#24479)

[noreply] Bump cloud.google.com/go/pubsub from 1.27.0 to 1.27.1 in /sdks 
(#24518)


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Requirement already satisfied: py in 
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Successfully built apache-beam
Installing collected packages: sortedcontainers, pytz, pyasn1, parameterized, 
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overrides, orjson, objsize, oauthlib, joblib, jmespath, isodate, idna, 
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azure-core-1.26.1 azure-identity-1.12.0 azure-storage-blob-12.14.1 
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execnet-1.9.0 fastavro-1.7.0 fasteners-0.18 freezegun-1.2.2 
google-api-core-2.11.0 google-apitools-0.5.31 google-auth-2.15.0 
google-auth-httplib2-0.1.0 google-cloud-bigquery-3.4.0 
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google-cloud-pubsublite-1.6.0 google-cloud-recommendations-ai-0.7.1 
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wrapt-1.14.1 zstandard-0.19.0

> 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.
INFO:apache_beam.runners.dataflow.dataflow_runner:Pipeline has additional 
dependencies to be installed in SDK **** container, consider using the SDK 
container image pre-building workflow to avoid repetitive installations. Learn 
more on 
https://cloud.google.com/dataflow/docs/guides/using-custom-containers#prebuild
INFO:root:Default Python SDK image for environment is 
apache/beam_python3.7_sdk:2.45.0.dev
INFO:root:Using provided Python SDK container image: 
gcr.io/cloud-dataflow/v1beta3/python37-fnapi:beam-master-20221122
INFO:root:Python SDK container image set to 
"gcr.io/cloud-dataflow/v1beta3/python37-fnapi:beam-master-20221122" 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-2gb1205200441.1670284250.579616/pickled_main_session...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to 
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INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to 
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INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to 
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INFO:apache_beam.runners.dataflow.internal.apiclient: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-2gb1205200441.1670284250.579616/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-2gb1205200441.1670284250.579616/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to 
gs://temp-storage-for-perf-tests/loadtests/performance-tests-psio-python-2gb1205200441.1670284250.579616/pipeline.pb
 in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
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 createTime: '2022-12-05T23:50:58.355176Z'
 currentStateTime: '1970-01-01T00:00:00Z'
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INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: 
[2022-12-05_15_50_57-13105994930053282794]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 
2022-12-05_15_50_57-13105994930053282794
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow 
monitoring console, please navigate to 
https://console.cloud.google.com/dataflow/jobs/us-central1/2022-12-05_15_50_57-13105994930053282794?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.test_dataflow_runner:Console log: 
INFO:apache_beam.runners.dataflow.test_dataflow_runner:https://console.cloud.google.com/dataflow/jobs/us-central1/2022-12-05_15_50_57-13105994930053282794?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 
2022-12-05_15_50_57-13105994930053282794 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-05T23:51:09.172Z: 
JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-05T23:51:10.954Z: 
JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable 
parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-05T23:51:10.983Z: 
JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into 
optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-05T23:51:11.050Z: 
JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-05T23:51:11.091Z: 
JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into 
optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-05T23:51:11.124Z: 
JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write 
steps
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-05T23:51:11.146Z: 
JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into 
MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-05T23:51:11.170Z: 
JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-05T23:51:11.214Z: 
JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-05T23:51:11.243Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Create input/Map(<lambda at 
iobase.py:908>) into Create input/Impulse
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-05T23:51:11.283Z: 
JOB_MESSAGE_DETAILED: Fusing consumer 
ref_AppliedPTransform_Create-input-SDFBoundedSourceReader-ParDo-SDFBoundedSourceDoFn-_6/PairWithRestriction
 into Create input/Map(<lambda at iobase.py:908>)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-05T23:51:11.308Z: 
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:2022-12-05T23:51:11.331Z: 
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:2022-12-05T23:51:11.353Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Measure time into Format to pubsub 
message in bytes
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-05T23:51:11.377Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Write to Pubsub/ToProtobuf into Measure 
time
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-05T23:51:11.404Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Write to Pubsub/Write into Write to 
Pubsub/ToProtobuf
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-05T23:51:11.519Z: 
JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-05T23:51:11.560Z: 
JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-05T23:51:11.588Z: 
JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-05T23:51:11.622Z: 
JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-05T23:51:11.644Z: 
JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-05T23:51:12.712Z: 
JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-05T23:51:12.738Z: 
JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-05T23:51:12.768Z: 
JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-05T23:51:48.314Z: 
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:2022-12-05T23:51:58.072Z: 
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:2022-12-05T23:52:29.308Z: 
JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-05T23:52:41.228Z: 
JOB_MESSAGE_DETAILED: All ****s have finished the startup processes and began 
to receive work requests.
WARNING:apache_beam.runners.dataflow.dataflow_runner:Timing out on waiting for 
job 2022-12-05_15_50_57-13105994930053282794 after 724 seconds
INFO:apache_beam.testing.load_tests.load_test_metrics_utils:Load test results 
for test: c3d8481bc1f849ef8ad8bfdd8629d032 and timestamp: 1670285168.9751318:
INFO:apache_beam.testing.load_tests.load_test_metrics_utils:Metric: 
pubsub_io_perf_write_runtime Value: 157
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.
INFO:apache_beam.runners.dataflow.dataflow_runner:Pipeline has additional 
dependencies to be installed in SDK **** container, consider using the SDK 
container image pre-building workflow to avoid repetitive installations. Learn 
more on 
https://cloud.google.com/dataflow/docs/guides/using-custom-containers#prebuild
INFO:root:Default Python SDK image for environment is 
apache/beam_python3.7_sdk:2.45.0.dev
INFO:root:Using provided Python SDK container image: 
gcr.io/cloud-dataflow/v1beta3/python37-fnapi:beam-master-20221122
INFO:root:Python SDK container image set to 
"gcr.io/cloud-dataflow/v1beta3/python37-fnapi:beam-master-20221122" 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-2gb1205200441.1670285171.574823/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-2gb1205200441.1670285171.574823/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-2gb1205200441.1670285171.574823/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-2gb1205200441.1670285171.574823/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-2gb1205200441.1670285171.574823/dataflow-****.jar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to 
gs://temp-storage-for-perf-tests/loadtests/performance-tests-psio-python-2gb1205200441.1670285171.574823/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-2gb1205200441.1670285171.574823/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to 
gs://temp-storage-for-perf-tests/loadtests/performance-tests-psio-python-2gb1205200441.1670285171.574823/pipeline.pb
 in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
 clientRequestId: '20221206000611576259-5057'
 createTime: '2022-12-06T00:06:18.818488Z'
 currentStateTime: '1970-01-01T00:00:00Z'
 id: '2022-12-05_16_06_18-17470065848098072607'
 location: 'us-central1'
 name: 'performance-tests-psio-python-2gb1205200441'
 projectId: 'apache-beam-testing'
 stageStates: []
 startTime: '2022-12-06T00:06:18.818488Z'
 steps: []
 tempFiles: []
 type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: 
[2022-12-05_16_06_18-17470065848098072607]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 
2022-12-05_16_06_18-17470065848098072607
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow 
monitoring console, please navigate to 
https://console.cloud.google.com/dataflow/jobs/us-central1/2022-12-05_16_06_18-17470065848098072607?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.test_dataflow_runner:Console log: 
INFO:apache_beam.runners.dataflow.test_dataflow_runner:https://console.cloud.google.com/dataflow/jobs/us-central1/2022-12-05_16_06_18-17470065848098072607?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 
2022-12-05_16_06_18-17470065848098072607 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T00:06:30.704Z: 
JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T00:06:34.638Z: 
JOB_MESSAGE_DETAILED: Expanding SplittableParDo operations into optimizable 
parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T00:06:34.673Z: 
JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton operations into 
optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T00:06:34.742Z: 
JOB_MESSAGE_DETAILED: Expanding CoGroupByKey operations into optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T00:06:34.811Z: 
JOB_MESSAGE_DETAILED: Expanding SplittableProcessKeyed operations into 
optimizable parts.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T00:06:34.849Z: 
JOB_MESSAGE_DETAILED: Expanding GroupByKey operations into streaming Read/Write 
steps
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T00:06:34.914Z: 
JOB_MESSAGE_DETAILED: Lifting ValueCombiningMappingFns into 
MergeBucketsMappingFns
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T00:06:35.010Z: 
JOB_MESSAGE_DEBUG: Annotating graph with Autotuner information.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T00:06:35.060Z: 
JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, Write, and Flatten operations
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T00:06:35.096Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Read from pubsub/Map(_from_proto_str) 
into Read from pubsub/Read
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T00:06:35.128Z: 
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:2022-12-06T00:06:35.160Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Measure time into Map(<lambda at 
pubsub_io_perf_test.py:171>)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T00:06:35.193Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Window into Measure time
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T00:06:35.215Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Count messages/KeyWithVoid into Window
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T00:06:35.245Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Count 
messages/CombinePerKey/Combine/ConvertToAccumulators into Count 
messages/KeyWithVoid
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T00:06:35.277Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Count 
messages/CombinePerKey/GroupByKey/WriteStream into Count 
messages/CombinePerKey/Combine/ConvertToAccumulators
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T00:06:35.313Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Count messages/CombinePerKey/Combine into 
Count messages/CombinePerKey/GroupByKey/ReadStream
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T00:06:35.346Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Count 
messages/CombinePerKey/Combine/Extract into Count messages/CombinePerKey/Combine
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T00:06:35.380Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Count messages/UnKey into Count 
messages/CombinePerKey/Combine/Extract
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T00:06:35.414Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Convert to bytes into Count messages/UnKey
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T00:06:35.449Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Write to Pubsub/ToProtobuf into Convert 
to bytes
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T00:06:35.495Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Write to Pubsub/Write into Write to 
Pubsub/ToProtobuf
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T00:06:35.535Z: 
JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T00:06:35.575Z: 
JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T00:06:35.605Z: 
JOB_MESSAGE_DEBUG: Adding StepResource setup and teardown to workflow graph.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T00:06:35.638Z: 
JOB_MESSAGE_DEBUG: Adding workflow start and stop steps.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T00:06:35.671Z: 
JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T00:06:36.745Z: 
JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T00:06:36.773Z: 
JOB_MESSAGE_DEBUG: Starting **** pool setup.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T00:06:36.795Z: 
JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T00:06:50.889Z: 
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:2022-12-06T00:07:49.161Z: 
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:2022-12-06T00:07:49.188Z: 
JOB_MESSAGE_DETAILED: Autoscaling: Resized **** pool to 3, though goal was 5.  
This could be a quota issue.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T00:08:09.411Z: 
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:2022-12-06T00:08:18.406Z: 
JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-12-06T00:08:30.429Z: 
JOB_MESSAGE_DETAILED: All ****s have finished the startup processes and began 
to receive work requests.
WARNING:apache_beam.runners.dataflow.dataflow_runner:Timing out on waiting for 
job 2022-12-05_16_06_18-17470065848098072607 after 720 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_90a3aac0-5d69-4173-b089-ef1251fb93b5_read_matcher.
Traceback (most recent call last):
Worker logs: 
https://console.cloud.google.com/dataflow/jobs/us-central1/2022-12-05_15_50_57-13105994930053282794?project=apache-beam-testing
Worker logs: 
https://console.cloud.google.com/dataflow/jobs/us-central1/2022-12-05_16_06_18-17470065848098072607?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 150, in run
    self.result = self.pipeline.run()
  File 
"<https://ci-beam.apache.org/job/beam_PerformanceTests_PubsubIOIT_Python_Streaming/ws/src/sdks/python/apache_beam/testing/test_pipeline.py";,>
 line 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 577, 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 70, 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([])
  Unexpected (with all details): []


> 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: 71

* 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.

* 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/7.5.1/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 47m 10s
92 actionable tasks: 57 executed, 33 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/js2gzauvjbb2m

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

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