Stops a specified application and releases initial capacity if configured. All scheduled and running jobs must be completed or cancelled before stopping an application.
Parameters:
-
application_id
(ApplicationId)
–
The ID of the application to stop.
Raises:
Source code in docs_src/capo_emr_serverless/_services/async_emr_serverless.py
| async def stop_application(
self,
application_id: "capo_emr_serverless.types.application_id.ApplicationId",
*,
config_overrides: Optional[AsyncEMRServerlessClientConfig] = None,
) -> "capo_emr_serverless.types.stop_application_response.StopApplicationResponse":
"""<p>Stops a specified application and releases initial capacity if configured. All scheduled and running jobs must be completed or cancelled before stopping an application.</p>
Args:
application_id: <p>The ID of the application to stop.</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.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.
"""
async def _handler(
req: "AsyncOperationRequest[capo_emr_serverless.types.stop_application_request.StopApplicationRequest]",
) -> AsyncOperationResponse[
"capo_emr_serverless.types.stop_application_response.StopApplicationResponse"
]:
import capo_emr_serverless._operations.aws_toledo_web_service.stop_application
(
output,
http_response,
) = await capo_emr_serverless._operations.aws_toledo_web_service.stop_application.async_stop_application(
req.options, req.input
)
return AsyncOperationResponse(output=output, response=http_response)
interceptors_, options_ = self.operation_options(
config_overrides, OperationLogging("StopApplication")
)
input_: capo_emr_serverless.types.stop_application_request.StopApplicationRequest = {
"application_id": application_id
}
response = await aexecute_pipeline(
AsyncOperationRequest(input=input_, options=options_),
handler=_handler,
interceptors=list(interceptors_),
)
await response.response.aclose()
return response.output
|