CreateJobQueue
Creates an Amazon 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 Amazon 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.
Request Syntax
POST /v1/createjobqueue HTTP/1.1
Content-type: application/json
{
"computeEnvironmentOrder": [
{
"computeEnvironment": "string
",
"order": number
}
],
"jobQueueName": "string
",
"jobStateTimeLimitActions": [
{
"action": "string
",
"maxTimeSeconds": number
,
"reason": "string
",
"state": "string
"
}
],
"priority": number
,
"schedulingPolicyArn": "string
",
"state": "string
",
"tags": {
"string
" : "string
"
}
}
URI Request Parameters
The request does not use any URI parameters.
Request Body
The request accepts the following data in JSON format.
- computeEnvironmentOrder
-
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
orSPOT
) or Fargate (FARGATE
orFARGATE_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. Amazon Batch doesn't support mixing compute environment architecture types in a single job queue.
Type: Array of ComputeEnvironmentOrder objects
Required: Yes
- jobQueueName
-
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 (_).
Type: String
Required: Yes
- jobStateTimeLimitActions
-
The set of actions that Amazon Batch performs on jobs that remain at the head of the job queue in the specified state longer than specified times. Amazon Batch will perform each action after
maxTimeSeconds
has passed. (Note: The minimum value for maxTimeSeconds is 600 (10 minutes) and its maximum value is 86,400 (24 hours).)Type: Array of JobStateTimeLimitAction objects
Required: No
- priority
-
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 of10
is given scheduling preference over a job queue with a priority value of1
. All of the compute environments must be either EC2 (EC2
orSPOT
) or Fargate (FARGATE
orFARGATE_SPOT
); EC2 and Fargate compute environments can't be mixed.Type: Integer
Required: Yes
- schedulingPolicyArn
-
The Amazon Resource Name (ARN) of the fair share scheduling policy. Job queues that don't have a scheduling policy are scheduled in a first-in, first-out (FIFO) model. After a job queue has a scheduling policy, it can be replaced but can't be removed.
The format is
aws:Partition:batch:Region:Account:scheduling-policy/Name
.An example is
aws:aws:batch:us-west-2:123456789012:scheduling-policy/MySchedulingPolicy
.A job queue without a scheduling policy is scheduled as a FIFO job queue and can't have a scheduling policy added. Jobs queues with a scheduling policy can have a maximum of 500 active fair share identifiers. When the limit has been reached, submissions of any jobs that add a new fair share identifier fail.
Type: String
Required: No
- state
-
The state of the job queue. If the job queue state is
ENABLED
, it is able to accept jobs. If the job queue state isDISABLED
, new jobs can't be added to the queue, but jobs already in the queue can finish.Type: String
Valid Values:
ENABLED | DISABLED
Required: No
-
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 Amazon Batch resources in Amazon Batch User Guide.
Type: String to string map
Map Entries: Maximum number of 50 items.
Key Length Constraints: Minimum length of 1. Maximum length of 128.
Value Length Constraints: Maximum length of 256.
Required: No
Response Syntax
HTTP/1.1 200
Content-type: application/json
{
"jobQueueArn": "string",
"jobQueueName": "string"
}
Response Elements
If the action is successful, the service sends back an HTTP 200 response.
The following data is returned in JSON format by the service.
- jobQueueArn
-
The Amazon Resource Name (ARN) of the job queue.
Type: String
- jobQueueName
-
The name of the job queue.
Type: String
Errors
- ClientException
-
These errors are usually caused by a client action. One example cause is using an action or resource on behalf of a user that doesn't have permissions to use the action or resource. Another cause is specifying an identifier that's not valid.
HTTP Status Code: 400
- ServerException
-
These errors are usually caused by a server issue.
HTTP Status Code: 500
Examples
In the following example or examples, the Authorization header contents
(
[authorization-params]
) must be replaced with an Amazon Signature Version 4
signature. For more information about creating these signatures, see Signature Version 4 Signing Process in the
Amazon
General Reference.
You only need to learn how to sign HTTP requests if you intend to manually create them. When you use the Amazon Command Line Interface (Amazon CLI)
Example
This example creates a job queue called LowPriority
that uses the
M4Spot
compute environment.
Sample Request
POST /v1/createjobqueue HTTP/1.1
Host: batch.us-east-1.amazonaws.com
Accept-Encoding: identity
Content-Length: [content-length]
Authorization: [authorization-params]
X-Amz-Date: 20161128T234201Z
User-Agent: aws-cli/1.11.21 Python/2.7.12 Darwin/16.1.0 botocore/1.4.78
{
"priority": 1,
"state": "ENABLED",
"computeEnvironmentOrder": [
{
"computeEnvironment": "M4Spot",
"order": 1
}
],
"jobQueueName": "LowPriority"
}
Sample Response
HTTP/1.1 200 OK
Content-Type: application/json
Content-Length: [content-length]
Connection: keep-alive
Date: Mon, 28 Nov 2016 23:42:02 GMT
x-amzn-RequestId: [request-id]
X-Amzn-Trace-Id: [trace-id]
X-Cache: Miss from cloudfront
Via: 1.1 a44b4468444ef3ee67472bd5c5016098.cloudfront.net (CloudFront)
X-Amz-Cf-Id: bz9IuCM5FNkDfge5y-Zw7nFEjDdTHDYFwbEY2AKUqrt9l2XeKUcuyA==
{
"jobQueueName": "LowPriority",
"jobQueueArn": "arn:aws:batch:us-east-1:123456789012:job-queue/LowPriority"
}
Example
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.
Sample Request
POST /v1/createjobqueue HTTP/1.1
Host: batch.us-east-1.amazonaws.com
Accept-Encoding: identity
Content-Length: [content-length]
Authorization: [authorization-params]
X-Amz-Date: 20161128T234933Z
User-Agent: aws-cli/1.11.21 Python/2.7.12 Darwin/16.1.0 botocore/1.4.78
{
"priority": 10,
"state": "ENABLED",
"computeEnvironmentOrder": [
{
"computeEnvironment": "C4OnDemand",
"order": 1
},
{
"computeEnvironment": "M4Spot",
"order": 2
}
],
"jobQueueName": "HighPriority"
}
Sample Response
HTTP/1.1 200 OK
Date: Mon, 28 Nov 2016 23:49:34 GMT
Content-Type: application/json
Content-Length: [content-length]
Connection: keep-alive
x-amzn-RequestId: [request-id]
X-Amzn-Trace-Id: [trace-id]
X-Cache: Miss from cloudfront
Via: 1.1 e81bbcbc86832b655de5b9a19317ad01.cloudfront.net (CloudFront)
X-Amz-Cf-Id: 8NB20odDPMaKy9zHa6GPaGN_r562QsynDTRYPuhKwHSvQrMG70IHSQ==
{
"jobQueueName": "HighPriority",
"jobQueueArn": "arn:aws:batch:us-east-1:123456789012:job-queue/HighPriority"
}
See Also
For more information about using this API in one of the language-specific Amazon SDKs, see the following: