Batch / Client / update_job_queue

update_job_queue#

Batch.Client.update_job_queue(**kwargs)#

Updates a job queue.

See also: AWS API Documentation

Request Syntax

response = client.update_job_queue(
    jobQueue='string',
    state='ENABLED'|'DISABLED',
    schedulingPolicyArn='string',
    priority=123,
    computeEnvironmentOrder=[
        {
            'order': 123,
            'computeEnvironment': 'string'
        },
    ]
)
Parameters:
  • jobQueue (string) –

    [REQUIRED]

    The name or the Amazon Resource Name (ARN) of the job queue.

  • state (string) – Describes the queue’s ability to accept new jobs. If the job queue state is ENABLED, it can accept jobs. If the job queue state is DISABLED, new jobs can’t be added to the queue, but jobs already in the queue can finish.

  • schedulingPolicyArn (string) – Amazon Resource Name (ARN) of the fair share scheduling policy. Once a job queue is created, the fair share scheduling policy can be replaced but not removed. The format is aws:Partition:batch:Region:Account:scheduling-policy/Name ``. For example, ``aws:aws:batch:us-west-2:123456789012:scheduling-policy/MySchedulingPolicy.

  • priority (integer) – The priority of the job queue. Job queues with a higher priority (or a higher integer value for the priority parameter) are evaluated first when associated with the same compute environment. Priority is determined in descending order. For example, a job queue with a priority value of 10 is given scheduling preference over a job queue with a priority value of 1. All of the compute environments must be either EC2 ( EC2 or SPOT) or Fargate ( FARGATE or FARGATE_SPOT). EC2 and Fargate compute environments can’t be mixed.

  • computeEnvironmentOrder (list) –

    Details the set of compute environments mapped to a job queue and their order relative to each other. This is one of the parameters used by the job scheduler to determine which compute environment runs a given job. Compute environments must be in the VALID state before you can associate them with a job queue. All of the compute environments must be either EC2 ( EC2 or SPOT) or Fargate ( FARGATE or FARGATE_SPOT). EC2 and Fargate compute environments can’t be mixed.

    Note

    All compute environments that are associated with a job queue must share the same architecture. Batch doesn’t support mixing compute environment architecture types in a single job queue.

    • (dict) –

      The order that compute environments are tried in for job placement within a queue. Compute environments are tried in ascending order. For example, if two compute environments are associated with a job queue, the compute environment with a lower order integer value is tried for job placement first. Compute environments must be in the VALID state before you can associate them with a job queue. All of the compute environments must be either EC2 ( EC2 or SPOT) or Fargate ( FARGATE or FARGATE_SPOT); EC2 and Fargate compute environments can’t be mixed.

      Note

      All compute environments that are associated with a job queue must share the same architecture. Batch doesn’t support mixing compute environment architecture types in a single job queue.

      • order (integer) – [REQUIRED]

        The order of the compute environment. Compute environments are tried in ascending order. For example, if two compute environments are associated with a job queue, the compute environment with a lower order integer value is tried for job placement first.

      • computeEnvironment (string) – [REQUIRED]

        The Amazon Resource Name (ARN) of the compute environment.

Return type:

dict

Returns:

Response Syntax

{
    'jobQueueName': 'string',
    'jobQueueArn': 'string'
}

Response Structure

  • (dict) –

    • jobQueueName (string) –

      The name of the job queue.

    • jobQueueArn (string) –

      The Amazon Resource Name (ARN) of the job queue.

Exceptions

  • Batch.Client.exceptions.ClientException

  • Batch.Client.exceptions.ServerException

Examples

This example disables a job queue so that it can be deleted.

response = client.update_job_queue(
    jobQueue='GPGPU',
    state='DISABLED',
)

print(response)

Expected Output:

{
    'jobQueueArn': 'arn:aws:batch:us-east-1:012345678910:job-queue/GPGPU',
    'jobQueueName': 'GPGPU',
    'ResponseMetadata': {
        '...': '...',
    },
}