update_queue ¶

def update_queue(
    self,
    cluster_identifier: "capo_pcs.types.cluster_identifier.ClusterIdentifier",
    queue_identifier: "capo_pcs.types.queue_identifier.QueueIdentifier",
    *,
    config_overrides: Optional[PCSClientConfig] = None,
    compute_node_group_configurations: Optional[
        "capo_pcs.types.compute_node_group_configuration_list.ComputeNodeGroupConfigurationList"
    ] = None,
    slurm_configuration: Optional[
        "capo_pcs.types.update_queue_slurm_configuration_request.UpdateQueueSlurmConfigurationRequest"
    ] = None,
    client_token: Optional["capo_pcs.types.sb_client_token.SBClientToken"] = None,
) -> "capo_pcs.types.update_queue_response.UpdateQueueResponse":
    """<p>Updates the compute node group configuration of a queue. Use this API to change the compute node groups that the queue can send jobs to.</p>

    Args:
        cluster_identifier: <p>The name or ID of the cluster of the queue.</p>
        queue_identifier: <p>The name or ID of the queue.</p>
        compute_node_group_configurations: <p>The list of compute node group configurations to associate with the queue. Queues assign jobs to associated compute node groups.</p>
        slurm_configuration: <p>Additional options related to the Slurm scheduler.</p>
        client_token: <p>A unique, case-sensitive identifier that you provide to ensure the idempotency of the request. Idempotency ensures that an API request completes only once. With an idempotent request, if the original request completes successfully, the subsequent retries with the same client token return the result from the original successful request and they have no additional effect. If you don't specify a client token, the CLI and SDK automatically generate 1 for you.</p>

    Raises:
        capo_pcs.errors.access_denied_exception.AccessDeniedException: <p>You don't have permission to perform the action.</p> <p> <u>Examples</u> </p> <ul> <li> <p>The launch template instance profile doesn't pass <code>iam:PassRole</code> verification.</p> </li> <li> <p>There is a mismatch between the account ID and cluster ID.</p> </li> <li> <p>The cluster ID doesn't exist.</p> </li> <li> <p>The EC2 instance isn't present.</p> </li> </ul>
        capo_pcs.errors.conflict_exception.ConflictException: <p>Your request has conflicting operations. This can occur if you're trying to perform more than 1 operation on the same resource at the same time.</p> <p> <u>Examples</u> </p> <ul> <li> <p>A cluster with the same name already exists.</p> </li> <li> <p>A cluster isn't in <code>ACTIVE</code> status.</p> </li> <li> <p>A cluster to delete is in an unstable state. For example, because it still has <code>ACTIVE</code> node groups or queues.</p> </li> <li> <p>A queue already exists in a cluster.</p> </li> </ul>
        capo_pcs.errors.internal_server_exception.InternalServerException: <p>PCS can't process your request right now. Try again later.</p>
        capo_pcs.errors.resource_not_found_exception.ResourceNotFoundException: <p>The requested resource can't be found. The cluster, node group, or queue you're attempting to get, update, list, or delete doesn't exist.</p> <p> <u>Examples</u> </p>
        capo_pcs.errors.service_quota_exceeded_exception.ServiceQuotaExceededException: <p>You exceeded your service quota. Service quotas, also referred to as limits, are the maximum number of service resources or operations for your Amazon Web Services account. To learn how to increase your service quota, see <a href="https://docs.aws.amazon.com/servicequotas/latest/userguide/request-quota-increase.html">Requesting a quota increase</a> in the <i>Service Quotas User Guide</i> </p> <p> <u>Examples</u> </p> <ul> <li> <p>The max number of clusters or queues has been reached for the account.</p> </li> <li> <p>The max number of compute node groups has been reached for the associated cluster.</p> </li> <li> <p>The total of <code>maxInstances</code> across all compute node groups has been reached for associated cluster.</p> </li> </ul>
        capo_pcs.errors.throttling_exception.ThrottlingException: <p>Your request exceeded a request rate quota. Check the resource's request rate quota and try again.</p>
        capo_pcs.errors.validation_exception.ValidationException: <p>The request isn't valid.</p> <p> <u>Examples</u> </p> <ul> <li> <p>Your request contains malformed JSON or unsupported characters.</p> </li> <li> <p>The scheduler version isn't supported.</p> </li> <li> <p>There are networking related errors, such as network validation failure.</p> </li> <li> <p>AMI type is <code>CUSTOM</code> and the launch template doesn't define the AMI ID, or the AMI type is AL2 and the launch template defines the AMI.</p> </li> </ul>
        capo_pcs.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_pcs.types.update_queue_request.UpdateQueueRequest]",
    ) -> OperationResponse[
        "capo_pcs.types.update_queue_response.UpdateQueueResponse"
    ]:
        import capo_pcs._operations.aws_parallel_computing_service.update_queue

        output, http_response = (
            capo_pcs._operations.aws_parallel_computing_service.update_queue.update_queue(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("UpdateQueue")
    )
    input_: capo_pcs.types.update_queue_request.UpdateQueueRequest = {
        "cluster_identifier": cluster_identifier,
        "queue_identifier": queue_identifier,
    }
    if compute_node_group_configurations is not None:
        input_["compute_node_group_configurations"] = (
            compute_node_group_configurations
        )
    if slurm_configuration is not None:
        input_["slurm_configuration"] = slurm_configuration
    if client_token is None:
        client_token = str(uuid.uuid4())
    input_["client_token"] = client_token

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