Update a scheduled query.
Parameters:
Raises:
Source code in docs_src/capo_timestream_query/_services/timestream_query.py
| def update_scheduled_query(
self,
scheduled_query_arn: "capo_timestream_query.types.amazon_resource_name.AmazonResourceName",
state: "capo_timestream_query.types.scheduled_query_state.ScheduledQueryState",
*,
config_overrides: Optional[TimestreamQueryClientConfig] = None,
) -> None:
"""<p>Update a scheduled query.</p>
Args:
scheduled_query_arn: <p>ARN of the scheuled query.</p>
state: <p>State of the scheduled query. </p>
Raises:
capo_timestream_query.errors.access_denied_exception.AccessDeniedException: <p>You do not have the necessary permissions to access the account settings.</p>
capo_timestream_query.errors.internal_server_exception.InternalServerException: <p>An internal server error occurred while processing the request.</p>
capo_timestream_query.errors.invalid_endpoint_exception.InvalidEndpointException: <p>The requested endpoint is invalid.</p>
capo_timestream_query.errors.resource_not_found_exception.ResourceNotFoundException: <p>The requested resource could not be found.</p>
capo_timestream_query.errors.throttling_exception.ThrottlingException: <p>The request was throttled due to excessive requests.</p>
capo_timestream_query.errors.validation_exception.ValidationException: <p> Invalid or malformed request. </p>
capo_timestream_query.errors.UnknownServiceError: The service returned an error code this client does not model.
"""
def _handler(
req: "OperationRequest[capo_timestream_query.types.update_scheduled_query_request.UpdateScheduledQueryRequest]",
) -> OperationResponse[None]:
import capo_timestream_query._operations.timestream_20181101.update_scheduled_query
output, http_response = (
capo_timestream_query._operations.timestream_20181101.update_scheduled_query.update_scheduled_query(
req.options, req.input
)
)
return OperationResponse(output=output, response=http_response)
interceptors_, options_ = self.operation_options(
config_overrides, OperationLogging("UpdateScheduledQuery")
)
input_: capo_timestream_query.types.update_scheduled_query_request.UpdateScheduledQueryRequest = {
"scheduled_query_arn": scheduled_query_arn,
"state": state,
}
response = execute_pipeline(
OperationRequest(input=input_, options=options_),
handler=_handler,
interceptors=list(interceptors_),
)
response.response.close()
return response.output
|