Batch.Client.
create_job_queue
(**kwargs)¶Creates an Batch job queue. When you create a job queue, you associate one or more compute environments to the queue and assign an order of preference for the compute environments.
You also set a priority to the job queue that determines the order that the Batch scheduler places jobs onto its associated compute environments. For example, if a compute environment is associated with more than one job queue, the job queue with a higher priority is given preference for scheduling jobs to that compute environment.
See also: AWS API Documentation
Request Syntax
response = client.create_job_queue(
jobQueueName='string',
state='ENABLED'|'DISABLED',
schedulingPolicyArn='string',
priority=123,
computeEnvironmentOrder=[
{
'order': 123,
'computeEnvironment': 'string'
},
],
tags={
'string': 'string'
}
)
[REQUIRED]
The name of the job queue. It can be up to 128 letters long. It can contain uppercase and lowercase letters, numbers, hyphens (-), and underscores (_).
ENABLED
, it is able to 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.aws:Partition:batch:Region:Account:scheduling-policy/Name
. An example is aws:aws:batch:us-west-2:123456789012:scheduling-policy/MySchedulingPolicy
.[REQUIRED]
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.
[REQUIRED]
The set of compute environments mapped to a job queue and their order relative to each other. The job scheduler uses this parameter to determine which compute environment runs a specific job. Compute environments must be in the VALID
state before you can associate them with a job queue. You can associate up to three compute environments 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.
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.
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.
The Amazon Resource Name (ARN) of the compute environment.
The tags that you apply to the job queue to help you categorize and organize your resources. Each tag consists of a key and an optional value. For more information, see Tagging your Batch resources in Batch User Guide .
dict
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 creates a job queue called LowPriority that uses the M4Spot compute environment.
response = client.create_job_queue(
computeEnvironmentOrder=[
{
'computeEnvironment': 'M4Spot',
'order': 1,
},
],
jobQueueName='LowPriority',
priority=1,
state='ENABLED',
)
print(response)
Expected Output:
{
'jobQueueArn': 'arn:aws:batch:us-east-1:012345678910:job-queue/LowPriority',
'jobQueueName': 'LowPriority',
'ResponseMetadata': {
'...': '...',
},
}
This example creates a job queue called HighPriority that uses the C4OnDemand compute environment with an order of 1 and the M4Spot compute environment with an order of 2.
response = client.create_job_queue(
computeEnvironmentOrder=[
{
'computeEnvironment': 'C4OnDemand',
'order': 1,
},
{
'computeEnvironment': 'M4Spot',
'order': 2,
},
],
jobQueueName='HighPriority',
priority=10,
state='ENABLED',
)
print(response)
Expected Output:
{
'jobQueueArn': 'arn:aws:batch:us-east-1:012345678910:job-queue/HighPriority',
'jobQueueName': 'HighPriority',
'ResponseMetadata': {
'...': '...',
},
}