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
create-job-queue
--job-queue-name <value>
[--state <value>]
[--scheduling-policy-arn <value>]
--priority <value>
--compute-environment-order <value>
[--tags <value>]
[--cli-input-json | --cli-input-yaml]
[--generate-cli-skeleton <value>]
[--debug]
[--endpoint-url <value>]
[--no-verify-ssl]
[--no-paginate]
[--output <value>]
[--query <value>]
[--profile <value>]
[--region <value>]
[--version <value>]
[--color <value>]
[--no-sign-request]
[--ca-bundle <value>]
[--cli-read-timeout <value>]
[--cli-connect-timeout <value>]
[--cli-binary-format <value>]
[--no-cli-pager]
[--cli-auto-prompt]
[--no-cli-auto-prompt]
--job-queue-name
(string)
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 (_).
--state
(string)
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.Possible values:
ENABLED
DISABLED
--scheduling-policy-arn
(string)
The Amazon Resource Name (ARN) of the fair share scheduling policy. If this parameter is specified, the job queue uses a fair share scheduling policy. If this parameter isn’t specified, the job queue uses a first in, first out (FIFO) scheduling policy. After a job queue is created, you can replace but can’t remove the fair share scheduling policy. The format is
aws:*Partition* :batch:*Region* :*Account* :scheduling-policy/*Name* `` . An example is ``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 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.
--compute-environment-order
(list)
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. Batch doesn’t support mixing compute environment architecture types in a single job queue.
(structure)
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
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. Batch doesn’t support mixing compute environment architecture types in a single job queue.
order -> (integer)
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)
The Amazon Resource Name (ARN) of the compute environment.
Shorthand Syntax:
order=integer,computeEnvironment=string ...
JSON Syntax:
[
{
"order": integer,
"computeEnvironment": "string"
}
...
]
--tags
(map)
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 .
key -> (string)
value -> (string)
Shorthand Syntax:
KeyName1=string,KeyName2=string
JSON Syntax:
{"string": "string"
...}
--cli-input-json
| --cli-input-yaml
(string)
Reads arguments from the JSON string provided. The JSON string follows the format provided by --generate-cli-skeleton
. If other arguments are provided on the command line, those values will override the JSON-provided values. It is not possible to pass arbitrary binary values using a JSON-provided value as the string will be taken literally. This may not be specified along with --cli-input-yaml
.
--generate-cli-skeleton
(string)
Prints a JSON skeleton to standard output without sending an API request. If provided with no value or the value input
, prints a sample input JSON that can be used as an argument for --cli-input-json
. Similarly, if provided yaml-input
it will print a sample input YAML that can be used with --cli-input-yaml
. If provided with the value output
, it validates the command inputs and returns a sample output JSON for that command. The generated JSON skeleton is not stable between versions of the AWS CLI and there are no backwards compatibility guarantees in the JSON skeleton generated.
--debug
(boolean)
Turn on debug logging.
--endpoint-url
(string)
Override command’s default URL with the given URL.
--no-verify-ssl
(boolean)
By default, the AWS CLI uses SSL when communicating with AWS services. For each SSL connection, the AWS CLI will verify SSL certificates. This option overrides the default behavior of verifying SSL certificates.
--no-paginate
(boolean)
Disable automatic pagination.
--output
(string)
The formatting style for command output.
json
text
table
yaml
yaml-stream
--query
(string)
A JMESPath query to use in filtering the response data.
--profile
(string)
Use a specific profile from your credential file.
--region
(string)
The region to use. Overrides config/env settings.
--version
(string)
Display the version of this tool.
--color
(string)
Turn on/off color output.
on
off
auto
--no-sign-request
(boolean)
Do not sign requests. Credentials will not be loaded if this argument is provided.
--ca-bundle
(string)
The CA certificate bundle to use when verifying SSL certificates. Overrides config/env settings.
--cli-read-timeout
(int)
The maximum socket read time in seconds. If the value is set to 0, the socket read will be blocking and not timeout. The default value is 60 seconds.
--cli-connect-timeout
(int)
The maximum socket connect time in seconds. If the value is set to 0, the socket connect will be blocking and not timeout. The default value is 60 seconds.
--cli-binary-format
(string)
The formatting style to be used for binary blobs. The default format is base64. The base64 format expects binary blobs to be provided as a base64 encoded string. The raw-in-base64-out format preserves compatibility with AWS CLI V1 behavior and binary values must be passed literally. When providing contents from a file that map to a binary blob fileb://
will always be treated as binary and use the file contents directly regardless of the cli-binary-format
setting. When using file://
the file contents will need to properly formatted for the configured cli-binary-format
.
base64
raw-in-base64-out
--no-cli-pager
(boolean)
Disable cli pager for output.
--cli-auto-prompt
(boolean)
Automatically prompt for CLI input parameters.
--no-cli-auto-prompt
(boolean)
Disable automatically prompt for CLI input parameters.
Note
To use the following examples, you must have the AWS CLI installed and configured. See the Getting started guide in the AWS CLI User Guide for more information.
Unless otherwise stated, all examples have unix-like quotation rules. These examples will need to be adapted to your terminal’s quoting rules. See Using quotation marks with strings in the AWS CLI User Guide .
To create a low priority job queue with a single compute environment
This example creates a job queue called LowPriority that uses the M4Spot compute environment.
Command:
aws batch create-job-queue --cli-input-json file://<path_to_json_file>/LowPriority.json
JSON file format:
{
"jobQueueName": "LowPriority",
"state": "ENABLED",
"priority": 10,
"computeEnvironmentOrder": [
{
"order": 1,
"computeEnvironment": "M4Spot"
}
]
}
Output:
{
"jobQueueArn": "arn:aws:batch:us-east-1:012345678910:job-queue/LowPriority",
"jobQueueName": "LowPriority"
}
To create a high priority job queue with two compute environments
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. The scheduler will attempt to place jobs on the C4OnDemand compute environment first.
Command:
aws batch create-job-queue --cli-input-json file://<path_to_json_file>/HighPriority.json
JSON file format:
{
"jobQueueName": "HighPriority",
"state": "ENABLED",
"priority": 1,
"computeEnvironmentOrder": [
{
"order": 1,
"computeEnvironment": "C4OnDemand"
},
{
"order": 2,
"computeEnvironment": "M4Spot"
}
]
}
Output:
{
"jobQueueArn": "arn:aws:batch:us-east-1:012345678910:job-queue/HighPriority",
"jobQueueName": "HighPriority"
}
jobQueueName -> (string)
The name of the job queue.
jobQueueArn -> (string)
The Amazon Resource Name (ARN) of the job queue.