list_pipeline_executions
async
¶
list_pipeline_executions(
*,
config_overrides: Optional[AsyncSageMakerClientConfig] = None,
pipeline_name: Optional[PipelineNameOrArn] = None,
created_after: Optional[Timestamp] = None,
created_before: Optional[Timestamp] = None,
sort_by: Optional[SortPipelineExecutionsBy] = None,
sort_order: Optional[SortOrder] = None,
next_token: Optional[NextToken] = None,
max_results: Optional[MaxResults] = None,
) -> ListPipelineExecutionsResponse
Gets a list of the pipeline executions.
Parameters:
-
pipeline_name(Optional[PipelineNameOrArn], default:None) –The name or Amazon Resource Name (ARN) of the pipeline.
-
created_after(Optional[Timestamp], default:None) –A filter that returns the pipeline executions that were created after a specified time.
-
created_before(Optional[Timestamp], default:None) –A filter that returns the pipeline executions that were created before a specified time.
-
sort_by(Optional[SortPipelineExecutionsBy], default:None) –The field by which to sort results. The default is
CreatedTime. -
sort_order(Optional[SortOrder], default:None) –The sort order for results.
-
next_token(Optional[NextToken], default:None) –If the result of the previous
ListPipelineExecutionsrequest was truncated, the response includes aNextToken. To retrieve the next set of pipeline executions, use the token in the next request. -
max_results(Optional[MaxResults], default:None) –The maximum number of pipeline executions to return in the response.
Raises:
-
ResourceNotFound–Resource being access is not found.
-
UnknownServiceError–The service returned an error code this client does not model.
Source code in docs_src/capo_sagemaker/_services/async_sage_maker.py
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