Starts an OpenSearch Ingestion pipeline. For more information, see Starting an OpenSearch Ingestion pipeline.
Parameters:
-
pipeline_name
(PipelineName)
–
The name of the pipeline to start.
Raises:
Source code in docs_src/capo_osis/_services/osis.py
| def start_pipeline(
self,
pipeline_name: "capo_osis.types.pipeline_name.PipelineName",
*,
config_overrides: Optional[OSISClientConfig] = None,
) -> "capo_osis.types.start_pipeline_response.StartPipelineResponse":
"""<p>Starts an OpenSearch Ingestion pipeline. For more information, see <a href="https://docs.aws.amazon.com/opensearch-service/latest/developerguide/pipeline--stop-start.html#pipeline--start">Starting an OpenSearch Ingestion pipeline</a>.</p>
Args:
pipeline_name: <p>The name of the pipeline to start.</p>
Raises:
capo_osis.errors.access_denied_exception.AccessDeniedException: <p>You don't have permissions to access the resource.</p>
capo_osis.errors.conflict_exception.ConflictException: <p>The client attempted to remove a resource that is currently in use.</p>
capo_osis.errors.disabled_operation_exception.DisabledOperationException: <p>Exception is thrown when an operation has been disabled.</p>
capo_osis.errors.internal_exception.InternalException: <p>The request failed because of an unknown error, exception, or failure (the failure is internal to the service).</p>
capo_osis.errors.resource_not_found_exception.ResourceNotFoundException: <p>You attempted to access or delete a resource that does not exist.</p>
capo_osis.errors.validation_exception.ValidationException: <p>An exception for missing or invalid input fields.</p>
capo_osis.errors.UnknownServiceError: The service returned an error code this client does not model.
"""
def _handler(
req: "OperationRequest[capo_osis.types.start_pipeline_request.StartPipelineRequest]",
) -> OperationResponse[
"capo_osis.types.start_pipeline_response.StartPipelineResponse"
]:
import capo_osis._operations.amazon_open_search_ingestion_service.start_pipeline
output, http_response = (
capo_osis._operations.amazon_open_search_ingestion_service.start_pipeline.start_pipeline(
req.options, req.input
)
)
return OperationResponse(output=output, response=http_response)
interceptors_, options_ = self.operation_options(
config_overrides, OperationLogging("StartPipeline")
)
input_: capo_osis.types.start_pipeline_request.StartPipelineRequest = {
"pipeline_name": pipeline_name
}
response = execute_pipeline(
OperationRequest(input=input_, options=options_),
handler=_handler,
interceptors=list(interceptors_),
)
response.response.close()
return response.output
|