add_instance_fleet ¶

def add_instance_fleet(
    self,
    *,
    config_overrides: Optional[EMRClientConfig] = None,
    cluster_id: Optional[
        "capo_emr.types.xml_string_max_len256.XmlStringMaxLen256"
    ] = None,
    instance_fleet: Optional[
        "capo_emr.types.instance_fleet_config.InstanceFleetConfig"
    ] = None,
) -> "capo_emr.types.add_instance_fleet_output.AddInstanceFleetOutput":
    """<p>Adds an instance fleet to a running cluster.</p> <note> <p>The instance fleet configuration is available only in Amazon EMR releases 4.8.0 and later, excluding 5.0.x.</p> </note>

    Args:
        cluster_id: <p>The unique identifier of the cluster.</p>
        instance_fleet: <p>Specifies the configuration of the instance fleet.</p>

    Raises:
        capo_emr.errors.internal_server_exception.InternalServerException: <p>This exception occurs when there is an internal failure in the Amazon EMR service.</p>
        capo_emr.errors.invalid_request_exception.InvalidRequestException: <p>This exception occurs when there is something wrong with user input.</p>
        capo_emr.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_emr.types.add_instance_fleet_input.AddInstanceFleetInput]",
    ) -> OperationResponse[
        "capo_emr.types.add_instance_fleet_output.AddInstanceFleetOutput"
    ]:
        import capo_emr._operations.elastic_map_reduce.add_instance_fleet

        output, http_response = (
            capo_emr._operations.elastic_map_reduce.add_instance_fleet.add_instance_fleet(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("AddInstanceFleet")
    )
    input_: capo_emr.types.add_instance_fleet_input.AddInstanceFleetInput = {}
    if cluster_id is not None:
        input_["cluster_id"] = cluster_id
    if instance_fleet is not None:
        input_["instance_fleet"] = instance_fleet

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