See
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow/9296/display/redirect>
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[32mINFO [0m
apache_beam.runners.dataflow.internal.apiclient:apiclient.py:897 To access the
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2022-05-02T15:33:22.178Z: JOB_MESSAGE_BASIC: Dataflow Runner V2 auto-enabled.
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[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242
2022-05-02T15:33:22.178Z: JOB_MESSAGE_BASIC: Streaming Engine auto-enabled. Use
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[32mINFO [0m
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apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242
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apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242
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2022-05-02T15:33:37.175Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo
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apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242
2022-05-02T15:33:37.227Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton
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[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242
2022-05-02T15:33:37.293Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey
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[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242
2022-05-02T15:33:37.324Z: JOB_MESSAGE_DETAILED: Expanding
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apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242
2022-05-02T15:33:37.349Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations
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[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242
2022-05-02T15:33:37.381Z: JOB_MESSAGE_DETAILED: Lifting
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2022-05-02T15:33:37.426Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner
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apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242
2022-05-02T15:33:37.509Z: JOB_MESSAGE_DETAILED: Fusing consumer
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[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242
2022-05-02T15:33:37.534Z: JOB_MESSAGE_DETAILED: Fusing consumer
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[32mINFO [0m
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2022-05-02T15:33:37.567Z: JOB_MESSAGE_DETAILED: Fusing consumer
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[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242
2022-05-02T15:33:37.609Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
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apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242
2022-05-02T15:33:37.635Z: JOB_MESSAGE_BASIC: Using cloud KMLS key to protect
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[32mINFO [0m
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2022-05-02T15:33:37.800Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
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2022-05-02T15:33:37.848Z: JOB_MESSAGE_DEBUG: Starting worker pool setup.
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apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242
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[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242
2022-05-02T15:33:37.937Z: JOB_MESSAGE_DEBUG: Starting worker pool setup.
> Task :sdks:python:test-suites:dataflow:py37:validatesRunnerStreamingTests
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242
2022-05-02T15:33:36.414Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number
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[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242
2022-05-02T15:33:43.510Z: JOB_MESSAGE_BASIC: Your project already contains 100
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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
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242
2022-05-02T15:34:08.161Z: JOB_MESSAGE_DETAILED: Workers have started
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[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242
2022-05-02T15:33:49.345Z: 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
[32mINFO [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:242
2022-05-02T15:34:10.263Z: JOB_MESSAGE_DETAILED: Autoscaling: Raised the number
of workers to 1 so that the pipeline can catch up with its backlog and keep up
with its input rate.
> Task :sdks:python:test-suites:dataflow:py37:validatesRunnerStreamingTests
[33mWARNING [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:256 Timing out
on waiting for job 2022-05-02_08_32_48-8481087877473375604 after 60 seconds
> Task :sdks:python:test-suites:dataflow:py39:validatesRunnerStreamingTests
[33mWARNING [0m
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:253 Timing out
on waiting for job 2022-05-02_08_33_22-8127362376589421901 after 60 seconds
> Task :sdks:python:test-suites:dataflow:py37:validatesRunnerStreamingTests
[32mPASSED[0m
- generated xml file:
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-
[32m[1m============ 1 passed, 1 skipped, 5377 deselected in 474.58 seconds
============[0m
> Task :sdks:python:test-suites:dataflow:py39:validatesRunnerStreamingTests
[32mPASSED[0m
[33m=============================== warnings summary
===============================[0m
<unknown>:54
<unknown>:54: DeprecationWarning: invalid escape sequence \c
<unknown>:62
<unknown>:62: DeprecationWarning: invalid escape sequence \d
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow/ws/src/build/gradleenv/-1734967050/lib/python3.9/site-packages/tenacity/_asyncio.py>:42
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow/ws/src/build/gradleenv/-1734967050/lib/python3.9/site-packages/tenacity/_asyncio.py>:42:
DeprecationWarning: "@coroutine" decorator is deprecated since Python 3.8, use
"async def" instead
def call(self, fn, *args, **kwargs):
-- Docs: https://docs.pytest.org/en/latest/warnings.html
- generated xml file:
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow/ws/src/sdks/python/pytest_validatesRunnerStreamingTests-df-py39-noxdist.xml>
-
[33m[1m====== 1 passed, 1 skipped, 5377 deselected, 3 warnings in 606.35
seconds ======[0m
FAILURE: Build failed with an exception.
* Where:
Script
'<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow/ws/src/sdks/python/test-suites/dataflow/common.gradle'>
line: 287
* What went wrong:
Execution failed for task
':sdks:python:test-suites:dataflow:py38:validatesRunnerStreamingTests'.
> Process 'command 'sh'' finished with non-zero exit value 1
* 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 1h 22m 59s
100 actionable tasks: 65 executed, 33 from cache, 2 up-to-date
Publishing build scan...
https://gradle.com/s/5hopny3n6hqfk
Build step 'Invoke Gradle script' changed build result to FAILURE
Build step 'Invoke Gradle script' marked build as failure
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