Starts a specified application and initializes initial capacity if configured.
Parameters:
-
application_id
(ApplicationId)
–
The ID of the application to start.
Raises:
Source code in docs_src/capo_emr_serverless/_services/emr_serverless.py
| def start_application(
self,
application_id: "capo_emr_serverless.types.application_id.ApplicationId",
*,
config_overrides: Optional[EMRServerlessClientConfig] = None,
) -> (
"capo_emr_serverless.types.start_application_response.StartApplicationResponse"
):
"""<p>Starts a specified application and initializes initial capacity if configured.</p>
Args:
application_id: <p>The ID of the application to start.</p>
Raises:
capo_emr_serverless.errors.internal_server_exception.InternalServerException: <p>Request processing failed because of an error or failure with the service.</p>
capo_emr_serverless.errors.resource_not_found_exception.ResourceNotFoundException: <p>The specified resource was not found.</p>
capo_emr_serverless.errors.service_quota_exceeded_exception.ServiceQuotaExceededException: <p>The maximum number of resources per account has been reached.</p>
capo_emr_serverless.errors.validation_exception.ValidationException: <p>The input fails to satisfy the constraints specified by an Amazon Web Services service.</p>
capo_emr_serverless.errors.UnknownServiceError: The service returned an error code this client does not model.
"""
def _handler(
req: "OperationRequest[capo_emr_serverless.types.start_application_request.StartApplicationRequest]",
) -> OperationResponse[
"capo_emr_serverless.types.start_application_response.StartApplicationResponse"
]:
import capo_emr_serverless._operations.aws_toledo_web_service.start_application
output, http_response = (
capo_emr_serverless._operations.aws_toledo_web_service.start_application.start_application(
req.options, req.input
)
)
return OperationResponse(output=output, response=http_response)
interceptors_, options_ = self.operation_options(
config_overrides, OperationLogging("StartApplication")
)
input_: capo_emr_serverless.types.start_application_request.StartApplicationRequest = {
"application_id": application_id
}
response = execute_pipeline(
OperationRequest(input=input_, options=options_),
handler=_handler,
interceptors=list(interceptors_),
)
response.response.close()
return response.output
|