See 
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Changes:

[noreply] minor prism fixes (#29183)


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Building wheels for collected packages: apache-beam
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sha256=5249482acc503d0ccadcb3cd5611a6f6c0c74a3dfb04bbe4ce540ab1cc9f7e86
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Successfully built apache-beam
Installing collected packages: sortedcontainers, pytz, pyjsparser, docopt, 
crcmod, zstandard, zipp, wrapt, websocket-client, urllib3, typing-extensions, 
threadpoolctl, tenacity, sqlparse, six, rpds-py, regex, pyyaml, pyparsing, 
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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_LoadTests_Python_Combine_Dataflow_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:Using provided Python SDK container image: 
gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20231023
INFO:root:Python SDK container image set to 
"gcr.io/cloud-dataflow/v1beta3/beam_python3.8_sdk:beam-master-20231023" for 
Docker environment
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/smoketests/load-tests-python-dataflow-streaming-combine-1-1030125308.1698678728.160722/dataflow_python_sdk.tar...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to 
gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-1030125308.1698678728.160722/dataflow_python_sdk.tar
 in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Starting GCS upload to 
gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-1030125308.1698678728.160722/pipeline.pb...
INFO:apache_beam.runners.dataflow.internal.apiclient:Completed GCS upload to 
gs://temp-storage-for-perf-tests/smoketests/load-tests-python-dataflow-streaming-combine-1-1030125308.1698678728.160722/pipeline.pb
 in 0 seconds.
INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
 clientRequestId: '20231030151208161686-9575'
 createTime: '2023-10-30T15:12:09.186592Z'
 currentStateTime: '1970-01-01T00:00:00Z'
 id: '2023-10-30_08_12_08-18204949348691583999'
 location: 'us-central1'
 name: 'load-tests-python-dataflow-streaming-combine-1-1030125308'
 projectId: 'apache-beam-testing'
 stageStates: []
 startTime: '2023-10-30T15:12:09.186592Z'
 steps: []
 tempFiles: []
 type: TypeValueValuesEnum(JOB_TYPE_STREAMING, 2)>
INFO:apache_beam.runners.dataflow.internal.apiclient:Created job with id: 
[2023-10-30_08_12_08-18204949348691583999]
INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 
2023-10-30_08_12_08-18204949348691583999
INFO:apache_beam.runners.dataflow.internal.apiclient:To access the Dataflow 
monitoring console, please navigate to 
https://console.cloud.google.com/dataflow/jobs/us-central1/2023-10-30_08_12_08-18204949348691583999?project=apache-beam-testing
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 
2023-10-30_08_12_08-18204949348691583999 is in state JOB_STATE_PENDING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-30T15:12:21.323Z: 
JOB_MESSAGE_BASIC: Worker configuration: e2-standard-2 in us-central1-b.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-30T15:12:38.068Z: 
JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-30T15:12:38.420Z: 
JOB_MESSAGE_BASIC: Starting 5 ****s in us-central1-b...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 
2023-10-30_08_12_08-18204949348691583999 is in state JOB_STATE_RUNNING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-30T15:12:56.927Z: 
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:2023-10-30T15:14:28.433Z: 
JOB_MESSAGE_BASIC: All ****s have finished the startup processes and began to 
receive work requests.
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 
2023-10-30_08_12_08-18204949348691583999 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-30T20:00:53.553Z: 
JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 
2023-10-30_08_12_08-18204949348691583999.
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-30T20:00:53.652Z: 
JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2023-10-30T20:00:53.691Z: 
JOB_MESSAGE_BASIC: Stopping **** pool...
Traceback (most recent call last):
  File "/usr/lib/python3.8/runpy.py", line 194, in _run_module_as_main
    return _run_code(code, main_globals, None,
  File "/usr/lib/python3.8/runpy.py", line 87, in _run_code
    exec(code, run_globals)
  File 
"<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/combine_test.py";,>
 line 129, in <module>
    CombineTest().run()
  File 
"<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py";,>
 line 152, in run
    state = self.result.wait_until_finish(duration=self.timeout_ms)
  File 
"<https://ci-beam.apache.org/job/beam_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/apache_beam/runners/dataflow/dataflow_runner.py";,>
 line 763, in wait_until_finish
    assert duration or terminated, (
AssertionError: Job did not reach to a terminal state after waiting 
indefinitely. Console URL: 
https://console.cloud.google.com/dataflow/jobs/<RegionId>/2023-10-30_08_12_08-18204949348691583999?project=<ProjectId>

> 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_LoadTests_Python_Combine_Dataflow_Streaming/ws/src/sdks/python/apache_beam/testing/load_tests/build.gradle'>
 line: 63

* 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 9.0.

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

For more on this, please refer to 
https://docs.gradle.org/8.4/userguide/command_line_interface.html#sec:command_line_warnings
 in the Gradle documentation.

BUILD FAILED in 4h 55m 15s
9 actionable tasks: 8 executed, 1 from cache

Publishing build scan...
https://ge.apache.org/s/4tlbtwoaslg2s

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

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