Skip to content

create_topic async 

create_topic(
    cluster_arn: __string,
    *,
    config_overrides: Optional[AsyncKafkaClientConfig] = None,
    topic_name: Optional[__string] = None,
    partition_count: Optional[__integerMin1] = None,
    replication_factor: Optional[__integerMin1] = None,
    configs: Optional[__string] = None,
) -> CreateTopicResponse

Creates a topic in the specified MSK cluster.

Parameters:

  • cluster_arn (__string) –

    The Amazon Resource Name (ARN) that uniquely identifies the cluster.

  • topic_name (Optional[__string], default: None ) –

    The name of the topic to create.

  • partition_count (Optional[__integerMin1], default: None ) –

    The number of partitions for the topic.

  • replication_factor (Optional[__integerMin1], default: None ) –

    The replication factor for the topic.

  • configs (Optional[__string], default: None ) –

    Topic configurations encoded as a Base64 string.

Raises:

Source code in docs_src/capo_kafka/_services/async_kafka.py 
873
874
875
876
877
878
879
880
881
882
883
884
885
886
887
888
889
890
891
892
893
894
895
896
897
898
899
900
901
902
903
904
905
906
907
908
909
910
911
912
913
914
915
916
917
918
919
920
921
922
923
924
925
926
927
928
929
930
931
932
933
934
935
936
937
938
939
940
941
942
943
944
945
946
947
948
949
950
951
952
async def create_topic(
    self,
    cluster_arn: "capo_kafka.types.__string.__string",
    *,
    config_overrides: Optional[AsyncKafkaClientConfig] = None,
    topic_name: Optional["capo_kafka.types.__string.__string"] = None,
    partition_count: Optional[
        "capo_kafka.types.__integer_min1.__integerMin1"
    ] = None,
    replication_factor: Optional[
        "capo_kafka.types.__integer_min1.__integerMin1"
    ] = None,
    configs: Optional["capo_kafka.types.__string.__string"] = None,
) -> "capo_kafka.types.create_topic_response.CreateTopicResponse":
    """<p>Creates a topic in the specified MSK cluster.</p>

    Args:
        cluster_arn: <p>The Amazon Resource Name (ARN) that uniquely identifies the cluster.</p>
        topic_name: <p>The name of the topic to create.</p>
        partition_count: <p>The number of partitions for the topic.</p>
        replication_factor: <p>The replication factor for the topic.</p>
        configs: <p>Topic configurations encoded as a Base64 string.</p>

    Raises:
        capo_kafka.errors.bad_request_exception.BadRequestException: <p>Returns information about an error.</p>
        capo_kafka.errors.cluster_connectivity_exception.ClusterConnectivityException: <p>Returns information about an error.</p>
        capo_kafka.errors.conflict_exception.ConflictException: <p>Returns information about an error.</p>
        capo_kafka.errors.controller_moved_exception.ControllerMovedException: <p>Returns information about an error.</p>
        capo_kafka.errors.forbidden_exception.ForbiddenException: <p>Returns information about an error.</p>
        capo_kafka.errors.group_subscribed_to_topic_exception.GroupSubscribedToTopicException: <p>Returns information about an error.</p>
        capo_kafka.errors.internal_server_error_exception.InternalServerErrorException: <p>Returns information about an error.</p>
        capo_kafka.errors.kafka_request_exception.KafkaRequestException: <p>Returns information about an error.</p>
        capo_kafka.errors.kafka_timeout_exception.KafkaTimeoutException: <p>Returns information about an error.</p>
        capo_kafka.errors.not_controller_exception.NotControllerException: <p>Returns information about an error.</p>
        capo_kafka.errors.reassignment_in_progress_exception.ReassignmentInProgressException: <p>Returns information about an error.</p>
        capo_kafka.errors.service_unavailable_exception.ServiceUnavailableException: <p>Returns information about an error.</p>
        capo_kafka.errors.too_many_requests_exception.TooManyRequestsException: <p>Returns information about an error.</p>
        capo_kafka.errors.topic_exists_exception.TopicExistsException: <p>Returns information about an error.</p>
        capo_kafka.errors.unauthorized_exception.UnauthorizedException: <p>Returns information about an error.</p>
        capo_kafka.errors.unknown_topic_or_partition_exception.UnknownTopicOrPartitionException: <p>Returns information about an error.</p>
        capo_kafka.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    async def _handler(
        req: "AsyncOperationRequest[capo_kafka.types.create_topic_request.CreateTopicRequest]",
    ) -> AsyncOperationResponse[
        "capo_kafka.types.create_topic_response.CreateTopicResponse"
    ]:
        import capo_kafka._operations.kafka.create_topic

        (
            output,
            http_response,
        ) = await capo_kafka._operations.kafka.create_topic.async_create_topic(
            req.options, req.input
        )
        return AsyncOperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("CreateTopic")
    )
    input_: capo_kafka.types.create_topic_request.CreateTopicRequest = {
        "cluster_arn": cluster_arn
    }
    if topic_name is not None:
        input_["topic_name"] = topic_name
    if partition_count is not None:
        input_["partition_count"] = partition_count
    if replication_factor is not None:
        input_["replication_factor"] = replication_factor
    if configs is not None:
        input_["configs"] = configs

    response = await aexecute_pipeline(
        AsyncOperationRequest(input=input_, options=options_),
        handler=_handler,
        interceptors=list(interceptors_),
    )
    await response.response.aclose()
    return response.output