[DO NOT MERGE] Run all PostCommit and PreCommit Tests against Release Branch #33870
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Check warning on line 0 in apache_beam.examples.wordcount_it_test.WordCountIT
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test_wordcount_it (apache_beam.examples.wordcount_it_test.WordCountIT) failed
sdks/python/pytest_preCommitIT-df-py39.xml [took 4s]
Raw output
apitools.base.py.exceptions.HttpBadRequestError: HttpError accessing <https://dataflow.googleapis.com/v1b3/projects/apache-beam-testing/locations/us-central1/jobs?alt=json>: response: <{'vary': 'Origin, X-Origin, Referer', 'content-type': 'application/json; charset=UTF-8', 'date': 'Wed, 05 Feb 2025 18:01:48 GMT', 'server': 'ESF', 'x-xss-protection': '0', 'x-frame-options': 'SAMEORIGIN', 'x-content-type-options': 'nosniff', 'transfer-encoding': 'chunked', 'status': '400', 'content-length': '492', '-content-encoding': 'gzip'}>, content <{
"error": {
"code": 400,
"message": "(b732027bbff7bf6d): The workflow could not be created. Causes: (cbc73fb44c217059): Dataflow quota error for jobs-per-project quota. Project apache-beam-testing is running 302 jobs. Please check the quota usage via GCP Console. If it exceeds the limit, please wait for a workflow to finish or contact Google Cloud Support to request an increase in quota. If it does not, contact Google Cloud Support.",
"status": "FAILED_PRECONDITION"
}
}
>
self = <apache_beam.examples.wordcount_it_test.WordCountIT testMethod=test_wordcount_it>
@pytest.mark.it_postcommit
@pytest.mark.it_validatescontainer
def test_wordcount_it(self):
> self._run_wordcount_it(wordcount.run)
apache_beam/examples/wordcount_it_test.py:50:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
apache_beam/examples/wordcount_it_test.py:150: in _run_wordcount_it
run_wordcount(
apache_beam/examples/wordcount.py:109: in run
result = pipeline.run()
apache_beam/pipeline.py:591: in run
return Pipeline.from_runner_api(
apache_beam/pipeline.py:618: in run
return self.runner.run_pipeline(self, self._options)
apache_beam/runners/dataflow/test_dataflow_runner.py:53: in run_pipeline
self.result = super().run_pipeline(pipeline, options)
apache_beam/runners/dataflow/dataflow_runner.py:502: in run_pipeline
self.dataflow_client.create_job(self.job), self)
apache_beam/utils/retry.py:298: in wrapper
return fun(*args, **kwargs)
apache_beam/runners/dataflow/internal/apiclient.py:759: in create_job
return self.submit_job_description(job)
apache_beam/utils/retry.py:298: in wrapper
return fun(*args, **kwargs)
apache_beam/runners/dataflow/internal/apiclient.py:865: in submit_job_description
response = self._client.projects_locations_jobs.Create(request)
apache_beam/runners/dataflow/internal/clients/dataflow/dataflow_v1b3_client.py:718: in Create
return self._RunMethod(config, request, global_params=global_params)
../../build/gradleenv/-1734967050/lib/python3.9/site-packages/apitools/base/py/base_api.py:731: in _RunMethod
return self.ProcessHttpResponse(method_config, http_response, request)
../../build/gradleenv/-1734967050/lib/python3.9/site-packages/apitools/base/py/base_api.py:737: in ProcessHttpResponse
self.__ProcessHttpResponse(method_config, http_response, request))
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
self = <apache_beam.runners.dataflow.internal.clients.dataflow.dataflow_v1b3_client.DataflowV1b3.ProjectsLocationsJobsService object at 0x7e511b9c30a0>
method_config = <ApiMethodInfo
relative_path: 'v1b3/projects/{projectId}/locations/{location}/jobs'
method_id: 'dataflow.projects.lo...DataflowProjectsLocationsJobsCreateRequest'
response_type_name: 'Job'
request_field: 'job'
supports_download: False>
http_response = Response(info={'vary': 'Origin, X-Origin, Referer', 'content-type': 'application/json; charset=UTF-8', 'date': 'Wed, 0...', request_url='https://dataflow.googleapis.com/v1b3/projects/apache-beam-testing/locations/us-central1/jobs?alt=json')
request = <DataflowProjectsLocationsJobsCreateRequest
job: <Job
clientRequestId: '20250205180147210978-7037'
environment: <En...empFiles: []
type: TypeValueValuesEnum(JOB_TYPE_BATCH, 1)>
location: 'us-central1'
projectId: 'apache-beam-testing'>
def __ProcessHttpResponse(self, method_config, http_response, request):
"""Process the given http response."""
if http_response.status_code not in (http_client.OK,
http_client.CREATED,
http_client.NO_CONTENT):
> raise exceptions.HttpError.FromResponse(
http_response, method_config=method_config, request=request)
E apitools.base.py.exceptions.HttpBadRequestError: HttpError accessing <https://dataflow.googleapis.com/v1b3/projects/apache-beam-testing/locations/us-central1/jobs?alt=json>: response: <{'vary': 'Origin, X-Origin, Referer', 'content-type': 'application/json; charset=UTF-8', 'date': 'Wed, 05 Feb 2025 18:01:48 GMT', 'server': 'ESF', 'x-xss-protection': '0', 'x-frame-options': 'SAMEORIGIN', 'x-content-type-options': 'nosniff', 'transfer-encoding': 'chunked', 'status': '400', 'content-length': '492', '-content-encoding': 'gzip'}>, content <{
E "error": {
E "code": 400,
E "message": "(b732027bbff7bf6d): The workflow could not be created. Causes: (cbc73fb44c217059): Dataflow quota error for jobs-per-project quota. Project apache-beam-testing is running 302 jobs. Please check the quota usage via GCP Console. If it exceeds the limit, please wait for a workflow to finish or contact Google Cloud Support to request an increase in quota. If it does not, contact Google Cloud Support.",
E "status": "FAILED_PRECONDITION"
E }
E }
E >
../../build/gradleenv/-1734967050/lib/python3.9/site-packages/apitools/base/py/base_api.py:603: HttpBadRequestError
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