update_storage ¶

def update_storage(
    self,
    cluster_arn: "capo_kafka.types.__string.__string",
    *,
    config_overrides: Optional[KafkaClientConfig] = None,
    current_version: Optional["capo_kafka.types.__string.__string"] = None,
    provisioned_throughput: Optional[
        "capo_kafka.types.provisioned_throughput.ProvisionedThroughput"
    ] = None,
    storage_mode: Optional["capo_kafka.types.storage_mode.StorageMode"] = None,
    volume_size_gb: Optional["capo_kafka.types.__integer.__integer"] = None,
) -> "capo_kafka.types.update_storage_response.UpdateStorageResponse":
    """Updates cluster broker volume size (or) sets cluster storage mode to TIERED.

    Args:
        cluster_arn: <p>The Amazon Resource Name (ARN) of the cluster to be updated.</p>
        current_version: <p>The version of cluster to update from. A successful operation will then generate a new version.</p>
        provisioned_throughput: <p>EBS volume provisioned throughput information.</p>
        storage_mode: <p>Controls storage mode for supported storage tiers.</p>
        volume_size_gb: <p>size of the EBS volume to update.</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.
    """

    def _handler(
        req: "OperationRequest[capo_kafka.types.update_storage_request.UpdateStorageRequest]",
    ) -> OperationResponse[
        "capo_kafka.types.update_storage_response.UpdateStorageResponse"
    ]:
        import capo_kafka._operations.kafka.update_storage

        output, http_response = (
            capo_kafka._operations.kafka.update_storage.update_storage(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("UpdateStorage")
    )
    input_: capo_kafka.types.update_storage_request.UpdateStorageRequest = {
        "cluster_arn": cluster_arn
    }
    if current_version is not None:
        input_["current_version"] = current_version
    if provisioned_throughput is not None:
        input_["provisioned_throughput"] = provisioned_throughput
    if storage_mode is not None:
        input_["storage_mode"] = storage_mode
    if volume_size_gb is not None:
        input_["volume_size_gb"] = volume_size_gb

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