You are viewing a plain text version of this content. The canonical link for it is here.

Posted to builds@beam.apache.org by Apache Jenkins Server <je...@builds.apache.org> on 2023/10/15 11:18:14 UTC

Build failed in Jenkins: beam_PostCommit_Python38 #4711

See <https://ci-beam.apache.org/job/beam_PostCommit_Python38/4711/display/redirect>

Changes:


------------------------------------------
[...truncated 12.38 MB...]
popenargs = (['<https://ci-beam.apache.org/job/beam_PostCommit_Python38/ws/src/build/gradleenv/-1734967051/bin/python3.8',> '-m', 'build', '--sdist', '--outdir', '/tmp/tmpcmdv870n', ...],)
kwargs = {'stdout': -1}, process = <subprocess.Popen object at 0x7fcfe682e430>
stdout = b'', stderr = None, retcode = 1

    def run(*popenargs,
            input=None, capture_output=False, timeout=None, check=False, **kwargs):
        """Run command with arguments and return a CompletedProcess instance.
    
        The returned instance will have attributes args, returncode, stdout and
        stderr. By default, stdout and stderr are not captured, and those attributes
        will be None. Pass stdout=PIPE and/or stderr=PIPE in order to capture them.
    
        If check is True and the exit code was non-zero, it raises a
        CalledProcessError. The CalledProcessError object will have the return code
        in the returncode attribute, and output & stderr attributes if those streams
        were captured.
    
        If timeout is given, and the process takes too long, a TimeoutExpired
        exception will be raised.
    
        There is an optional argument "input", allowing you to
        pass bytes or a string to the subprocess's stdin.  If you use this argument
        you may not also use the Popen constructor's "stdin" argument, as
        it will be used internally.
    
        By default, all communication is in bytes, and therefore any "input" should
        be bytes, and the stdout and stderr will be bytes. If in text mode, any
        "input" should be a string, and stdout and stderr will be strings decoded
        according to locale encoding, or by "encoding" if set. Text mode is
        triggered by setting any of text, encoding, errors or universal_newlines.
    
        The other arguments are the same as for the Popen constructor.
        """
        if input is not None:
            if kwargs.get('stdin') is not None:
                raise ValueError('stdin and input arguments may not both be used.')
            kwargs['stdin'] = PIPE
    
        if capture_output:
            if kwargs.get('stdout') is not None or kwargs.get('stderr') is not None:
                raise ValueError('stdout and stderr arguments may not be used '
                                 'with capture_output.')
            kwargs['stdout'] = PIPE
            kwargs['stderr'] = PIPE
    
        with Popen(*popenargs, **kwargs) as process:
            try:
                stdout, stderr = process.communicate(input, timeout=timeout)
            except TimeoutExpired as exc:
                process.kill()
                if _mswindows:
                    # Windows accumulates the output in a single blocking
                    # read() call run on child threads, with the timeout
                    # being done in a join() on those threads.  communicate()
                    # _after_ kill() is required to collect that and add it
                    # to the exception.
                    exc.stdout, exc.stderr = process.communicate()
                else:
                    # POSIX _communicate already populated the output so
                    # far into the TimeoutExpired exception.
                    process.wait()
                raise
            except:  # Including KeyboardInterrupt, communicate handled that.
                process.kill()
                # We don't call process.wait() as .__exit__ does that for us.
                raise
            retcode = process.poll()
            if check and retcode:
>               raise CalledProcessError(retcode, process.args,
                                         output=stdout, stderr=stderr)
[1m[31mE               subprocess.CalledProcessError: Command '['<https://ci-beam.apache.org/job/beam_PostCommit_Python38/ws/src/build/gradleenv/-1734967051/bin/python3.8',> '-m', 'build', '--sdist', '--outdir', '/tmp/tmpcmdv870n', '<https://ci-beam.apache.org/job/beam_PostCommit_Python38/ws/src/sdks/python/apache_beam/examples/complete/juliaset']'> returned non-zero exit status 1.[0m

[1m[31m/usr/lib/python3.8/subprocess.py[0m:516: CalledProcessError

[33mDuring handling of the above exception, another exception occurred:[0m

self = <apache_beam.examples.complete.juliaset.juliaset.juliaset_test_it.JuliaSetTestIT testMethod=test_run_example_with_setup_file>

    def test_run_example_with_setup_file(self):
      pipeline = TestPipeline(is_integration_test=True)
      coordinate_output = FileSystems.join(
          pipeline.get_option('output'),
          'juliaset-{}'.format(str(uuid.uuid4())),
          'coordinates.txt')
      extra_args = {
          'coordinate_output': coordinate_output,
          'grid_size': self.GRID_SIZE,
          'setup_file': os.path.normpath(
              os.path.join(os.path.dirname(__file__), '..', 'setup.py')),
          'on_success_matcher': all_of(PipelineStateMatcher(PipelineState.DONE)),
      }
      args = pipeline.get_full_options_as_args(**extra_args)
    
>     juliaset.run(args)

[1m[31mapache_beam/examples/complete/juliaset/juliaset/juliaset_test_it.py[0m:56: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[1m[31mapache_beam/examples/complete/juliaset/juliaset/juliaset.py[0m:116: in run
    (
[1m[31mapache_beam/pipeline.py[0m:607: in __exit__
    self.result = self.run()
[1m[31mapache_beam/pipeline.py[0m:557: in run
    return Pipeline.from_runner_api(
[1m[31mapache_beam/pipeline.py[0m:584: in run
    return self.runner.run_pipeline(self, self._options)
[1m[31mapache_beam/runners/dataflow/test_dataflow_runner.py[0m:53: in run_pipeline
    self.result = super().run_pipeline(pipeline, options)
[1m[31mapache_beam/runners/dataflow/dataflow_runner.py[0m:393: in run_pipeline
    artifacts = environments.python_sdk_dependencies(options)
[1m[31mapache_beam/transforms/environments.py[0m:846: in python_sdk_dependencies
    return stager.Stager.create_job_resources(
[1m[31mapache_beam/runners/portability/stager.py[0m:281: in create_job_resources
    tarball_file = Stager._build_setup_package(
[1m[31mapache_beam/runners/portability/stager.py[0m:796: in _build_setup_package
    processes.check_output(build_setup_args)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

args = (['<https://ci-beam.apache.org/job/beam_PostCommit_Python38/ws/src/build/gradleenv/-1734967051/bin/python3.8',> '-m', 'build', '--sdist', '--outdir', '/tmp/tmpcmdv870n', ...],)
kwargs = {}

    def check_output(*args, **kwargs):
      if force_shell:
        kwargs['shell'] = True
      try:
        out = subprocess.check_output(*args, **kwargs)
      except OSError:
        raise RuntimeError("Executable {} not found".format(args[0]))
      except subprocess.CalledProcessError as error:
        if isinstance(args, tuple) and (args[0][2] == "pip"):
          raise RuntimeError( \
            "Full traceback: {} \n Pip install failed for package: {} \
            \n Output from execution of subprocess: {}" \
            .format(traceback.format_exc(), args[0][6], error.output))
        else:
>         raise RuntimeError("Full trace: {}, \
             output of the failed child process {} "\
            .format(traceback.format_exc(), error.output))
[1m[31mE         RuntimeError: Full trace: Traceback (most recent call last):[0m
[1m[31mE           File "<https://ci-beam.apache.org/job/beam_PostCommit_Python38/ws/src/sdks/python/apache_beam/utils/processes.py",> line 89, in check_output[0m
[1m[31mE             out = subprocess.check_output(*args, **kwargs)[0m
[1m[31mE           File "/usr/lib/python3.8/subprocess.py", line 415, in check_output[0m
[1m[31mE             return run(*popenargs, stdout=PIPE, timeout=timeout, check=True,[0m
[1m[31mE           File "/usr/lib/python3.8/subprocess.py", line 516, in run[0m
[1m[31mE             raise CalledProcessError(retcode, process.args,[0m
[1m[31mE         subprocess.CalledProcessError: Command '['<https://ci-beam.apache.org/job/beam_PostCommit_Python38/ws/src/build/gradleenv/-1734967051/bin/python3.8',> '-m', 'build', '--sdist', '--outdir', '/tmp/tmpcmdv870n', '<https://ci-beam.apache.org/job/beam_PostCommit_Python38/ws/src/sdks/python/apache_beam/examples/complete/juliaset']'> returned non-zero exit status 1.[0m
[1m[31mE         ,            output of the failed child process b''[0m

[1m[31mapache_beam/utils/processes.py[0m:99: RuntimeError
------------------------------ Captured log call -------------------------------
[32mINFO    [0m apache_beam.runners.portability.stager:stager.py:762 Executing command: ['<https://ci-beam.apache.org/job/beam_PostCommit_Python38/ws/src/build/gradleenv/-1734967051/bin/python3.8',> '-m', 'pip', 'download', '--dest', '/tmp/dataflow-requirements-cache', '-r', '/tmp/tmpth8nx7o0/tmp_requirements.txt', '--exists-action', 'i', '--no-deps', '--implementation', 'cp', '--abi', 'cp38', '--platform', 'manylinux2014_x86_64']
[32mINFO    [0m apache_beam.runners.portability.stager:stager.py:795 Executing command: ['<https://ci-beam.apache.org/job/beam_PostCommit_Python38/ws/src/build/gradleenv/-1734967051/bin/python3.8',> '-m', 'build', '--sdist', '--outdir', '/tmp/tmpcmdv870n', '<https://ci-beam.apache.org/job/beam_PostCommit_Python38/ws/src/sdks/python/apache_beam/examples/complete/juliaset']>
[33m=============================== warnings summary ===============================[0m
apache_beam/ml/inference/vertex_ai_inference_it_test.py:68
apache_beam/ml/inference/vertex_ai_inference_it_test.py:68
apache_beam/ml/inference/vertex_ai_inference_it_test.py:68
apache_beam/ml/inference/vertex_ai_inference_it_test.py:68
apache_beam/ml/inference/vertex_ai_inference_it_test.py:68
apache_beam/ml/inference/vertex_ai_inference_it_test.py:68
apache_beam/ml/inference/vertex_ai_inference_it_test.py:68
apache_beam/ml/inference/vertex_ai_inference_it_test.py:68
  <https://ci-beam.apache.org/job/beam_PostCommit_Python38/ws/src/sdks/python/apache_beam/ml/inference/vertex_ai_inference_it_test.py>:68: PytestUnknownMarkWarning: Unknown pytest.mark.uses_vertex_ai - is this a typo?  You can register custom marks to avoid this warning - for details, see https://docs.pytest.org/en/stable/how-to/mark.html
    @pytest.mark.uses_vertex_ai

apache_beam/examples/complete/game/hourly_team_score_it_test.py::HourlyTeamScoreIT::test_hourly_team_score_it
apache_beam/examples/complete/game/game_stats_it_test.py::GameStatsIT::test_game_stats_it
apache_beam/examples/complete/game/leader_board_it_test.py::LeaderBoardIT::test_leader_board_it
apache_beam/io/gcp/bigquery_test.py::PubSubBigQueryIT::test_file_loads
apache_beam/io/gcp/bigquery_test.py::PubSubBigQueryIT::test_streaming_inserts
  <https://ci-beam.apache.org/job/beam_PostCommit_Python38/ws/src/sdks/python/apache_beam/io/gcp/tests/utils.py>:63: PendingDeprecationWarning: Client.dataset is deprecated and will be removed in a future version. Use a string like 'my_project.my_dataset' or a cloud.google.bigquery.DatasetReference object, instead.
    dataset_ref = client.dataset(unique_dataset_name, project=project)

apache_beam/examples/dataframe/flight_delays_it_test.py::FlightDelaysTest::test_flight_delays
  <https://ci-beam.apache.org/job/beam_PostCommit_Python38/ws/src/sdks/python/apache_beam/examples/dataframe/flight_delays.py>:47: FutureWarning: The default value of numeric_only in DataFrame.mean is deprecated. In a future version, it will default to False. In addition, specifying 'numeric_only=None' is deprecated. Select only valid columns or specify the value of numeric_only to silence this warning.
    return airline_df[at_top_airports].mean()

apache_beam/examples/cookbook/bigquery_tornadoes_it_test.py::BigqueryTornadoesIT::test_bigquery_tornadoes_it
  <https://ci-beam.apache.org/job/beam_PostCommit_Python38/ws/src/sdks/python/apache_beam/io/gcp/tests/utils.py>:100: PendingDeprecationWarning: Client.dataset is deprecated and will be removed in a future version. Use a string like 'my_project.my_dataset' or a cloud.google.bigquery.DatasetReference object, instead.
    table_ref = client.dataset(dataset_id).table(table_id)

apache_beam/io/gcp/bigquery_read_it_test.py::ReadTests::test_native_source
  <https://ci-beam.apache.org/job/beam_PostCommit_Python38/ws/src/sdks/python/apache_beam/io/gcp/bigquery_read_it_test.py>:170: BeamDeprecationWarning: BigQuerySource is deprecated since 2.25.0. Use ReadFromBigQuery instead.
    beam.io.BigQuerySource(query=self.query, use_standard_sql=True)))

apache_beam/io/gcp/bigquery_read_it_test.py::ReadNewTypesTests::test_native_source
  <https://ci-beam.apache.org/job/beam_PostCommit_Python38/ws/src/sdks/python/apache_beam/io/gcp/bigquery_read_it_test.py>:706: BeamDeprecationWarning: BigQuerySource is deprecated since 2.25.0. Use ReadFromBigQuery instead.
    beam.io.BigQuerySource(query=self.query, use_standard_sql=True)))

-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
- generated xml file: <https://ci-beam.apache.org/job/beam_PostCommit_Python38/ws/src/sdks/python/pytest_postCommitIT-df-py38.xml> -
[36m[1m=========================== short test summary info ============================[0m
[31mFAILED[0m apache_beam/examples/complete/juliaset/juliaset/juliaset_test_it.py::[1mJuliaSetTestIT::test_run_example_with_setup_file[0m - RuntimeError: Full trace: Traceback (most recent call last):
  File "<https://ci-beam.apache.org/job/beam_PostCommit_Python38/ws/src/sdks/python/apache_beam/utils/processes.py",> line 89, in check_output
    out = subprocess.check_output(*args, **kwargs)
  File "/usr/lib/python3.8/subprocess.py", line 415, in check_output
    return run(*popenargs, stdout=PIPE, timeout=timeout, check=True,
  File "/usr/lib/python3.8/subprocess.py", line 516, in run
    raise CalledProcessError(retcode, process.args,
subprocess.CalledProcessError: Command '['<https://ci-beam.apache.org/job/beam_PostCommit_Python38/ws/src/build/gradleenv/-1734967051/bin/python3.8',> '-m', 'build', '--sdist', '--outdir', '/tmp/tmpcmdv870n', '<https://ci-beam.apache.org/job/beam_PostCommit_Python38/ws/src/sdks/python/apache_beam/examples/complete/juliaset']'> returned non-zero exit status 1.
,            output of the failed child process b''
[31m====== [31m[1m1 failed[0m, [32m88 passed[0m, [33m49 skipped[0m, [33m17 warnings[0m[31m in 9040.76s (2:30:40)[0m[31m ======[0m

> Task :sdks:python:test-suites:dataflow:py38:postCommitIT FAILED

FAILURE: Build completed with 2 failures.

1: Task failed with an exception.
-----------
* Where:
Script '<https://ci-beam.apache.org/job/beam_PostCommit_Python38/ws/src/sdks/python/test-suites/dataflow/common.gradle'> line: 448

* What went wrong:
Execution failed for task ':sdks:python:test-suites:dataflow:py38:vertexAIInferenceTest'.
> 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.
==============================================================================

2: Task failed with an exception.
-----------
* Where:
Script '<https://ci-beam.apache.org/job/beam_PostCommit_Python38/ws/src/sdks/python/test-suites/dataflow/common.gradle'> line: 139

* What went wrong:
Execution failed for task ':sdks:python:test-suites:dataflow:py38:postCommitIT'.
> 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 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/8.3/userguide/command_line_interface.html#sec:command_line_warnings in the Gradle documentation.

BUILD FAILED in 3h 2m 46s
221 actionable tasks: 157 executed, 60 from cache, 4 up-to-date

Publishing build scan...
https://ge.apache.org/s/gircqildmoj5s

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

---------------------------------------------------------------------
To unsubscribe, e-mail: builds-unsubscribe@beam.apache.org
For additional commands, e-mail: builds-help@beam.apache.org