See 
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/4227/display/redirect?page=changes>

Changes:

[Moritz Mack] [Spark Dataset runner] Fix support for Java 11 (closes #24392)

[Moritz Mack] fix spotless

[noreply] Bump cloud.google.com/go/bigquery from 1.42.0 to 1.43.0 in /sdks

[noreply] Bump github.com/aws/aws-sdk-go-v2/feature/s3/manager in /sdks (#24348)

[noreply] pg_23079 remove replacing tabs at playground (#24285)

[noreply] [#24339] Make Slices use iterable coder instead of custom coder.

[noreply] Add custom inference fns to CHANGES.md (#24412)


------------------------------------------
[...truncated 203.11 KB...]
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 
2022-11-29T23:09:50.586Z: JOB_MESSAGE_DEBUG: Starting worker pool setup.
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 
2022-11-29T23:10:14.440Z: 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

> Task :sdks:python:test-suites:dataflow:py310:validatesRunnerStreamingTests
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 
2022-11-29T23:10:18.989Z: 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.
WARNING  
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:254 Timing out 
on waiting for job 2022-11-29_15_09_18-5696593824473244426 after 60 seconds

> Task :sdks:python:test-suites:dataflow:py37:validatesRunnerStreamingTests
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 
2022-11-29T23:10:34.795Z: 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.
WARNING  
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:257 Timing out 
on waiting for job 2022-11-29_15_09_39-17751757356702409702 after 60 seconds
PASSED

=============================== warnings summary 
===============================
../../build/gradleenv/-1734967052/lib/python3.7/site-packages/hdfs/config.py:15
  
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/build/gradleenv/-1734967052/lib/python3.7/site-packages/hdfs/config.py>:15:
 DeprecationWarning: the imp module is deprecated in favour of importlib; see 
the module's documentation for alternative uses
    from imp import load_source

-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
- generated xml file: 
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/pytest_validatesRunnerStreamingTests-df-py37-noxdist.xml>
 -
===== 1 passed, 5 skipped, 6743 
deselected, 1 warning in 812.53s (0:13:32) 
=====

> Task :sdks:python:test-suites:dataflow:py310:validatesRunnerStreamingTests
ERROR    
apache_beam.runners.dataflow.test_dataflow_runner:test_dataflow_runner.py:102 
Console URL: 
https://console.cloud.google.com/dataflow/<regionId>/2022-11-29_15_09_18-5696593824473244426?project=<projectId>
FAILED

=================================== FAILURES ===================================
_ 
ExerciseStreamingMetricsPipelineTest.test_streaming_pipeline_returns_expected_user_metrics_fnapi_it
 _

self = 
<apache_beam.runners.dataflow.dataflow_exercise_streaming_metrics_pipeline_test.ExerciseStreamingMetricsPipelineTest
 testMethod=test_streaming_pipeline_returns_expected_user_metrics_fnapi_it>

    @pytest.mark.it_validatesrunner
    @pytest.mark.no_sickbay_batch
    @pytest.mark.no_xdist
    def test_streaming_pipeline_returns_expected_user_metrics_fnapi_it(self):
      """
      Runs streaming Dataflow job and verifies that user metrics are reported
      correctly.
      """
      self._inject_words(self.input_topic, MESSAGES_TO_PUBLISH)
>     result = self.run_pipeline()

apache_beam/runners/dataflow/dataflow_exercise_streaming_metrics_pipeline_test.py:140:
 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
apache_beam/runners/dataflow/dataflow_exercise_streaming_metrics_pipeline_test.py:128:
 in run_pipeline
    return dataflow_exercise_streaming_metrics_pipeline.run(argv)
apache_beam/runners/dataflow/dataflow_exercise_streaming_metrics_pipeline.py:99:
 in run
    result = pipeline.run()
apache_beam/pipeline.py:577: in run
    return self.runner.run_pipeline(self, self._options)
apache_beam/runners/dataflow/test_dataflow_runner.py:74: in 
run_pipeline
    self.wait_until_in_state(PipelineState.CANCELLED)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <apache_beam.runners.dataflow.test_dataflow_runner.TestDataflowRunner 
object at 0x7f776c15f4f0>
expected_state = 'CANCELLED', timeout = 600

    def wait_until_in_state(self, expected_state, 
timeout=WAIT_IN_STATE_TIMEOUT):
      """Wait until Dataflow pipeline enters a certain state."""
      consoleUrl = (
          "Console URL: https://console.cloud.google.com/dataflow/";
          f"<regionId>/{self.result.job_id()}?project=<projectId>")
      if not self.result.has_job:
        _LOGGER.error(consoleUrl)
        raise IOError('Failed to get the Dataflow job id.')
    
      start_time = time.time()
      while time.time() - start_time <= timeout:
        job_state = self.result.state
        if self.result.is_in_terminal_state() or job_state == expected_state:
          return job_state
        time.sleep(5)
      _LOGGER.error(consoleUrl)
>     raise RuntimeError(
          'Timeout after %d seconds while waiting for job %s '
          'enters expected state %s. Current state is %s.' %
          (timeout, self.result.job_id(), expected_state, self.result.state))
E     RuntimeError: Timeout after 600 seconds while waiting for job 
2022-11-29_15_09_18-5696593824473244426 enters expected state CANCELLED. 
Current state is CANCELLING.

apache_beam/runners/dataflow/test_dataflow_runner.py:103: 
RuntimeError
------------------------------ Captured log call -------------------------------
INFO     apache_beam.runners.portability.stager:stager.py:780 
Executing command: 
['<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/build/gradleenv/2050596098/bin/python3.10',>
 '-m', 'pip', 'download', '--dest', '/tmp/dataflow-requirements-cache', '-r', 
'/tmp/tmpxldpzrk1/tmp_requirements.txt', '--exists-action', 'i', '--no-deps', 
'--implementation', 'cp', '--abi', 'cp310', '--platform', 
'manylinux2014_x86_64']
INFO     apache_beam.runners.portability.stager:stager.py:330 Copying 
Beam SDK 
"<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/build/apache-beam.tar.gz";>
 to staging location.
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:484 Pipeline 
has additional dependencies to be installed in SDK worker 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:environments.py:376 Default Python SDK image for 
environment is apache/beam_python3.10_sdk:2.44.0.dev
INFO     root:environments.py:295 Using provided Python SDK container 
image: gcr.io/cloud-dataflow/v1beta3/python310-fnapi:beam-master-20221122
INFO     root:environments.py:302 Python SDK container image set to 
"gcr.io/cloud-dataflow/v1beta3/python310-fnapi:beam-master-20221122" for Docker 
environment
INFO     apache_beam.internal.gcp.auth:auth.py:130 Setting socket 
default timeout to 60 seconds.
INFO     apache_beam.internal.gcp.auth:auth.py:132 socket default 
timeout is 60.0 seconds.
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gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-1129230746-567123-nthvafm2.1669763266.567299/dataflow_python_sdk.tar
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apache_beam.runners.dataflow.internal.apiclient:apiclient.py:732 Starting GCS 
upload to 
gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-1129230746-567123-nthvafm2.1669763266.567299/dataflow-worker.jar...
INFO     
apache_beam.runners.dataflow.internal.apiclient:apiclient.py:748 Completed GCS 
upload to 
gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-1129230746-567123-nthvafm2.1669763266.567299/dataflow-worker.jar
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INFO     
apache_beam.runners.dataflow.internal.apiclient:apiclient.py:732 Starting GCS 
upload to 
gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-1129230746-567123-nthvafm2.1669763266.567299/pipeline.pb...
INFO     
apache_beam.runners.dataflow.internal.apiclient:apiclient.py:748 Completed GCS 
upload to 
gs://temp-storage-for-end-to-end-tests/staging-it/beamapp-jenkins-1129230746-567123-nthvafm2.1669763266.567299/pipeline.pb
 in 0 seconds.
INFO     
apache_beam.runners.dataflow.internal.apiclient:apiclient.py:911 Create job: 
<Job
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apache_beam.runners.dataflow.internal.apiclient:apiclient.py:913 Created job 
with id: [2022-11-29_15_09_18-5696593824473244426]
INFO     
apache_beam.runners.dataflow.internal.apiclient:apiclient.py:914 Submitted job: 
2022-11-29_15_09_18-5696593824473244426
INFO     
apache_beam.runners.dataflow.internal.apiclient:apiclient.py:915 To access the 
Dataflow monitoring console, please navigate to 
https://console.cloud.google.com/dataflow/jobs/us-central1/2022-11-29_15_09_18-5696593824473244426?project=apache-beam-testing
INFO     
apache_beam.runners.dataflow.test_dataflow_runner:test_dataflow_runner.py:58 
Console log: 
INFO     
apache_beam.runners.dataflow.test_dataflow_runner:test_dataflow_runner.py:59 
https://console.cloud.google.com/dataflow/jobs/us-central1/2022-11-29_15_09_18-5696593824473244426?project=apache-beam-testing
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apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:198 Job 
2022-11-29_15_09_18-5696593824473244426 is in state JOB_STATE_RUNNING
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 
2022-11-29T23:09:20.032Z: JOB_MESSAGE_WARNING: Autoscaling is enabled for 
Dataflow Streaming Engine. Workers will scale between 1 and 100 unless 
maxNumWorkers is specified.
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 
2022-11-29T23:09:20.129Z: JOB_MESSAGE_DETAILED: Autoscaling is enabled for job 
2022-11-29_15_09_18-5696593824473244426. The number of workers will be between 
1 and 100.
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 
2022-11-29T23:09:20.176Z: JOB_MESSAGE_DETAILED: Autoscaling was automatically 
enabled for job 2022-11-29_15_09_18-5696593824473244426.
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 
2022-11-29T23:09:26.743Z: JOB_MESSAGE_BASIC: Worker configuration: 
e2-standard-2 in us-central1-a.
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 
2022-11-29T23:09:28.922Z: JOB_MESSAGE_DETAILED: Expanding SplittableParDo 
operations into optimizable parts.
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 
2022-11-29T23:09:28.958Z: JOB_MESSAGE_DETAILED: Expanding CollectionToSingleton 
operations into optimizable parts.
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 
2022-11-29T23:09:29.024Z: JOB_MESSAGE_DETAILED: Expanding CoGroupByKey 
operations into optimizable parts.
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 
2022-11-29T23:09:29.057Z: JOB_MESSAGE_DETAILED: Expanding 
SplittableProcessKeyed operations into optimizable parts.
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 
2022-11-29T23:09:29.137Z: JOB_MESSAGE_DETAILED: Expanding GroupByKey operations 
into streaming Read/Write steps
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 
2022-11-29T23:09:29.172Z: JOB_MESSAGE_DETAILED: Lifting 
ValueCombiningMappingFns into MergeBucketsMappingFns
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 
2022-11-29T23:09:29.205Z: JOB_MESSAGE_DEBUG: Annotating graph with Autotuner 
information.
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 
2022-11-29T23:09:29.235Z: JOB_MESSAGE_DETAILED: Fusing adjacent ParDo, Read, 
Write, and Flatten operations
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 
2022-11-29T23:09:29.265Z: JOB_MESSAGE_DETAILED: Fusing consumer 
generate_metrics into ReadFromPubSub/Read
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 
2022-11-29T23:09:29.297Z: JOB_MESSAGE_DETAILED: Fusing consumer 
dump_to_pub/ToProtobuf into generate_metrics
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 
2022-11-29T23:09:29.334Z: JOB_MESSAGE_DETAILED: Fusing consumer 
dump_to_pub/Write into dump_to_pub/ToProtobuf
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 
2022-11-29T23:09:29.362Z: JOB_MESSAGE_BASIC: Running job using Streaming Engine
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 
2022-11-29T23:09:29.398Z: JOB_MESSAGE_DEBUG: Workflow config is missing a 
default resource spec.
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 
2022-11-29T23:09:29.448Z: JOB_MESSAGE_DEBUG: Adding StepResource setup and 
teardown to workflow graph.
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 
2022-11-29T23:09:29.471Z: JOB_MESSAGE_DEBUG: Adding workflow start and stop 
steps.
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 
2022-11-29T23:09:29.508Z: JOB_MESSAGE_DEBUG: Assigning stage ids.
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 
2022-11-29T23:09:30.583Z: JOB_MESSAGE_DEBUG: Starting worker pool setup.
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 
2022-11-29T23:09:30.616Z: JOB_MESSAGE_BASIC: Starting 1 workers in 
us-central1-a...
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 
2022-11-29T23:09:30.668Z: JOB_MESSAGE_DEBUG: Starting worker pool setup.
INFO     
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:243 
2022-11-29T23:09:54.919Z: 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:dataflow_runner.py:243 
2022-11-29T23:10:18.989Z: 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.
WARNING  
apache_beam.runners.dataflow.dataflow_runner:dataflow_runner.py:254 Timing out 
on waiting for job 2022-11-29_15_09_18-5696593824473244426 after 60 seconds
ERROR    
apache_beam.runners.dataflow.test_dataflow_runner:test_dataflow_runner.py:102 
Console URL: 
https://console.cloud.google.com/dataflow/<regionId>/2022-11-29_15_09_18-5696593824473244426?project=<projectId>
=============================== warnings summary 
===============================
../../build/gradleenv/2050596098/lib/python3.10/site-packages/hdfs/config.py:15
  
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/build/gradleenv/2050596098/lib/python3.10/site-packages/hdfs/config.py>:15:
 DeprecationWarning: the imp module is deprecated in favour of importlib and 
slated for removal in Python 3.12; see the module's documentation for 
alternative uses
    from imp import load_source

../../build/gradleenv/2050596098/lib/python3.10/site-packages/google/api_core/operations_v1/abstract_operations_client.py:17
  
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/build/gradleenv/2050596098/lib/python3.10/site-packages/google/api_core/operations_v1/abstract_operations_client.py>:17:
 DeprecationWarning: The distutils package is deprecated and slated for removal 
in Python 3.12. Use setuptools or check PEP 632 for potential alternatives
    from distutils import util

../../build/gradleenv/2050596098/lib/python3.10/site-packages/tenacity/_asyncio.py:42
  
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/build/gradleenv/2050596098/lib/python3.10/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):

apache_beam/typehints/pandas_type_compatibility_test.py:67
  
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/apache_beam/typehints/pandas_type_compatibility_test.py>:67:
 FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas 
in a future version. Use pandas.Index with the appropriate dtype instead.
    }).set_index(pd.Int64Index(range(123, 223), name='an_index')),

apache_beam/typehints/pandas_type_compatibility_test.py:90
  
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/apache_beam/typehints/pandas_type_compatibility_test.py>:90:
 FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas 
in a future version. Use pandas.Index with the appropriate dtype instead.
    pd.Int64Index(range(123, 223), name='an_index'),

apache_beam/typehints/pandas_type_compatibility_test.py:91
  
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/apache_beam/typehints/pandas_type_compatibility_test.py>:91:
 FutureWarning: pandas.Int64Index is deprecated and will be removed from pandas 
in a future version. Use pandas.Index with the appropriate dtype instead.
    pd.Int64Index(range(475, 575), name='another_index'),

apache_beam/runners/dataflow/dataflow_exercise_streaming_metrics_pipeline_test.py::ExerciseStreamingMetricsPipelineTest::test_streaming_pipeline_returns_expected_user_metrics_fnapi_it
apache_beam/runners/dataflow/dataflow_exercise_streaming_metrics_pipeline_test.py::ExerciseStreamingMetricsPipelineTest::test_streaming_pipeline_returns_expected_user_metrics_fnapi_it
  
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/build/gradleenv/2050596098/lib/python3.10/site-packages/httplib2/__init__.py>:147:
 DeprecationWarning: ssl.PROTOCOL_TLS is deprecated
    context = ssl.SSLContext(DEFAULT_TLS_VERSION)

-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
- generated xml file: 
<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/pytest_validatesRunnerStreamingTests-df-py310-noxdist.xml>
 -
=========================== short test summary info 
============================
FAILED 
apache_beam/runners/dataflow/dataflow_exercise_streaming_metrics_pipeline_test.py::ExerciseStreamingMetricsPipelineTest::test_streaming_pipeline_returns_expected_user_metrics_fnapi_it
 - RuntimeError: Timeout after 600 seconds while waiting for job 
2022-11-29_15_09_18-5696593824473244426 enters expected state CANCELLED. 
Current state is CANCELLING.
==== 1 failed, 5 skipped, 6743 deselected, 
8 warnings in 1264.70s (0:21:04) ====

> Task :sdks:python:test-suites:dataflow:py310:validatesRunnerStreamingTests 
> FAILED

FAILURE: Build failed with an exception.

* Where:
Script 
'<https://ci-beam.apache.org/job/beam_PostCommit_Py_VR_Dataflow_V2/ws/src/sdks/python/test-suites/dataflow/common.gradle'>
 line: 291

* What went wrong:
Execution failed for task 
':sdks:python:test-suites:dataflow:py310: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.

* 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 2h 16m 57s
97 actionable tasks: 62 executed, 33 from cache, 2 up-to-date

Publishing build scan...
https://gradle.com/s/bwveje5jqnrn4

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

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