describe_table_replica_auto_scaling ¶

def describe_table_replica_auto_scaling(
    self,
    table_name: "capo_dynamodb.types.table_arn.TableArn",
    *,
    config_overrides: Optional[DynamoDBClientConfig] = None,
) -> "capo_dynamodb.types.describe_table_replica_auto_scaling_output.DescribeTableReplicaAutoScalingOutput":
    """<p>Describes auto scaling settings across replicas of the global table at once.</p>

    Args:
        table_name: <p>The name of the table. You can also provide the Amazon Resource Name (ARN) of the table in this parameter.</p>

    Raises:
        capo_dynamodb.errors.internal_server_error.InternalServerError: <p>An error occurred on the server side.</p>
        capo_dynamodb.errors.resource_not_found_exception.ResourceNotFoundException: <p>The operation tried to access a nonexistent table or index. The resource might not be specified correctly, or its status might not be <code>ACTIVE</code>.</p>
        capo_dynamodb.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_dynamodb.types.describe_table_replica_auto_scaling_input.DescribeTableReplicaAutoScalingInput]",
    ) -> OperationResponse[
        "capo_dynamodb.types.describe_table_replica_auto_scaling_output.DescribeTableReplicaAutoScalingOutput"
    ]:
        import capo_dynamodb._operations.dynamo_db_20120810.describe_table_replica_auto_scaling

        output, http_response = (
            capo_dynamodb._operations.dynamo_db_20120810.describe_table_replica_auto_scaling.describe_table_replica_auto_scaling(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("DescribeTableReplicaAutoScaling")
    )
    input_: capo_dynamodb.types.describe_table_replica_auto_scaling_input.DescribeTableReplicaAutoScalingInput = {
        "table_name": table_name
    }

    response = execute_pipeline(
        OperationRequest(input=input_, options=options_),
        handler=_handler,
        interceptors=list(interceptors_),
    )
    response.response.close()
    return response.output