See 
<https://ci-beam.apache.org/job/beam_LoadTests_Python_SideInput_Dataflow_Batch/662/display/redirect?page=changes>

Changes:

[noreply] Exclude grpcio==1.48.0 (#22539)

[noreply] Merge PR #22304 fixing #22331 fixing JDBC IO IT

[noreply] Update pytest to support Python 3.10 (#22055)

[noreply] Update the imprecise link. (#22549)


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> Task :sdks:python:apache_beam:testing:load_tests:run
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INFO:apache_beam.runners.dataflow.internal.apiclient:Defaulting to the 
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INFO:apache_beam.runners.dataflow.internal.apiclient:Create job: <Job
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INFO:apache_beam.runners.dataflow.internal.apiclient:Submitted job: 
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INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-02T15:54:31.805Z: 
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INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-02T15:54:31.926Z: 
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INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-02T15:54:31.947Z: 
JOB_MESSAGE_DETAILED: Fusing consumer Collect end time metrics into 
ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-02T15:54:31.975Z: 
JOB_MESSAGE_DEBUG: Workflow config is missing a default resource spec.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-02T15:54:32.001Z: 
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INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-02T15:54:32.024Z: 
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INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-02T15:54:32.046Z: 
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INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-02T15:54:32.178Z: 
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INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-02T15:54:32.239Z: 
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INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-02T15:54:32.271Z: 
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INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-02T15:54:32.299Z: 
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INFO:apache_beam.runners.dataflow.dataflow_runner:Job 
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INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-02T15:54:50.817Z: 
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:2022-08-02T15:55:07.647Z: 
JOB_MESSAGE_DETAILED: Autoscaling: Raised the number of ****s to 10 based on 
the rate of progress in the currently running stage(s).
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-02T15:55:35.454Z: 
JOB_MESSAGE_DETAILED: Workers have started successfully.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-02T16:02:29.674Z: 
JOB_MESSAGE_BASIC: Finished operation Create/Read+Assign timestamps+Apply 
windows+Get synthetic SDF options+Collect start time metrics+Generate input
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-02T16:02:29.758Z: 
JOB_MESSAGE_DEBUG: Value "Collect start time metrics.out" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-02T16:02:29.781Z: 
JOB_MESSAGE_DEBUG: Value "Generate input.out" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-02T16:02:29.850Z: 
JOB_MESSAGE_BASIC: Executing operation 
ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-02T16:02:29.898Z: 
JOB_MESSAGE_BASIC: Finished operation 
ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate input.out.0)
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-02T16:02:29.965Z: 
JOB_MESSAGE_DEBUG: Value 
"ParDo(SequenceSideInputTestDoFn)/_UnpickledSideInput(Generate 
input.out.0).output" materialized.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-02T16:02:30.033Z: 
JOB_MESSAGE_BASIC: Executing operation 
ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)+Collect end 
time metrics
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 
2022-08-02_08_54_27-3139748959172958387 is in state JOB_STATE_CANCELLING
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-02T20:00:36.630Z: 
JOB_MESSAGE_BASIC: Cancel request is committed for workflow job: 
2022-08-02_08_54_27-3139748959172958387.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-02T20:00:36.656Z: 
JOB_MESSAGE_BASIC: Finished operation 
ParDo(SequenceSideInputTestDoFn)/ParDo(SequenceSideInputTestDoFn)+Collect end 
time metrics
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-02T20:00:36.804Z: 
JOB_MESSAGE_DETAILED: Cleaning up.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-02T20:00:38.771Z: 
JOB_MESSAGE_DEBUG: Starting **** pool teardown.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-02T20:00:38.801Z: 
JOB_MESSAGE_BASIC: Stopping **** pool...
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-02T20:01:14.580Z: 
JOB_MESSAGE_DETAILED: Autoscaling: Resized **** pool from 10 to 0.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-02T20:01:14.641Z: 
JOB_MESSAGE_BASIC: Worker pool stopped.
INFO:apache_beam.runners.dataflow.dataflow_runner:2022-08-02T20:01:14.672Z: 
JOB_MESSAGE_DEBUG: Tearing down pending resources...
INFO:apache_beam.runners.dataflow.dataflow_runner:Job 
2022-08-02_08_54_27-3139748959172958387 is in state JOB_STATE_CANCELLED
ERROR:apache_beam.runners.dataflow.dataflow_runner:Console URL: 
https://console.cloud.google.com/dataflow/jobs/<RegionId>/2022-08-02_08_54_27-3139748959172958387?project=<ProjectId>
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_LoadTests_Python_SideInput_Dataflow_Batch/ws/src/sdks/python/apache_beam/testing/load_tests/sideinput_test.py";,>
 line 216, in <module>
    SideInputTest().run()
  File 
"<https://ci-beam.apache.org/job/beam_LoadTests_Python_SideInput_Dataflow_Batch/ws/src/sdks/python/apache_beam/testing/load_tests/load_test.py";,>
 line 151, in run
    self.result.wait_until_finish(duration=self.timeout_ms)
  File 
"<https://ci-beam.apache.org/job/beam_LoadTests_Python_SideInput_Dataflow_Batch/ws/src/sdks/python/apache_beam/runners/dataflow/dataflow_runner.py";,>
 line 1676, in wait_until_finish
    self)
apache_beam.runners.dataflow.dataflow_runner.DataflowRuntimeException: Dataflow 
pipeline failed. State: CANCELLED, Error:
None

> 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_SideInput_Dataflow_Batch/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/7.4/userguide/command_line_interface.html#sec:command_line_warnings

BUILD FAILED in 4h 8m 12s
15 actionable tasks: 4 executed, 11 up-to-date

Publishing build scan...
https://gradle.com/s/x2pri46kfdydg

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

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