update_rebalancing async ¶

async def update_rebalancing(
    self,
    cluster_arn: "capo_kafka.types.__string.__string",
    *,
    config_overrides: Optional[AsyncKafkaClientConfig] = None,
    current_version: Optional["capo_kafka.types.__string.__string"] = None,
    rebalancing: Optional["capo_kafka.types.rebalancing.Rebalancing"] = None,
) -> "capo_kafka.types.update_rebalancing_response.UpdateRebalancingResponse":
    """<p>Use this resource to update the intelligent rebalancing status of an Amazon MSK Provisioned cluster with Express brokers.</p>

    Args:
        cluster_arn: <p>The Amazon Resource Name (ARN) of the cluster.</p>
        current_version: <p>The current version of the cluster.</p>
        rebalancing: <p>Specifies if intelligent rebalancing should be turned on for your cluster. The default intelligent rebalancing status is ACTIVE for all new MSK Provisioned clusters that you create with Express brokers.</p>

    Raises:
        capo_kafka.errors.bad_request_exception.BadRequestException: <p>Returns information about an error.</p>
        capo_kafka.errors.forbidden_exception.ForbiddenException: <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.not_found_exception.NotFoundException: <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.unauthorized_exception.UnauthorizedException: <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.update_rebalancing_request.UpdateRebalancingRequest]",
    ) -> AsyncOperationResponse[
        "capo_kafka.types.update_rebalancing_response.UpdateRebalancingResponse"
    ]:
        import capo_kafka._operations.kafka.update_rebalancing

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

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("UpdateRebalancing")
    )
    input_: capo_kafka.types.update_rebalancing_request.UpdateRebalancingRequest = {
        "cluster_arn": cluster_arn
    }
    if current_version is not None:
        input_["current_version"] = current_version
    if rebalancing is not None:
        input_["rebalancing"] = rebalancing

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